diff --git a/Berlin_crimes.csv b/Berlin_crimes.csv
new file mode 100644
index 00000000..029042c9
--- /dev/null
+++ b/Berlin_crimes.csv
@@ -0,0 +1,1201 @@
+"Year","District","Code","Location","Robbery","Street_robbery","Injury","Agg_assault","Threat","Theft","Car","From_car","Bike","Burglary","Fire","Arson","Damage","Graffiti","Drugs","Local"
+2012,"Mitte",10111,"Tiergarten Süd",70,46,586,194,118,2263,18,328,120,68,16,4,273,26,171,1032
+2012,"Mitte",10112,"Regierungsviertel",65,29,474,123,142,3203,10,307,170,37,10,4,380,124,98,870
+2012,"Mitte",10113,"Alexanderplatz",242,136,1541,454,304,8988,81,792,822,275,49,27,1538,522,435,3108
+2012,"Mitte",10114,"Brunnenstraße Süd",52,25,254,60,66,1916,86,192,396,131,14,5,428,122,213,752
+2012,"Mitte",10221,"Moabit West",130,51,629,185,199,2470,94,410,325,161,42,22,516,64,259,1403
+2012,"Mitte",10222,"Moabit Ost",89,45,549,147,204,2290,63,353,337,90,33,10,392,52,416,1212
+2012,"Mitte",10331,"Osloer Straße",120,46,785,223,267,3666,52,429,280,226,40,18,521,72,246,1699
+2012,"Mitte",10332,"Brunnenstraße Nord",145,71,675,192,191,2928,76,473,218,252,36,7,495,72,162,1532
+2012,"Mitte",10441,"Parkviertel",109,48,783,211,318,2879,77,564,365,157,55,20,568,65,244,1794
+2012,"Mitte",10442,"Wedding Zentrum",216,104,1210,426,384,3396,57,424,294,298,54,23,806,87,570,2556
+2012,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",15,9,435,147,49,2487,6,45,31,0,5,0,263,140,35,587
+2012,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",138,71,723,222,263,2928,52,500,321,219,46,13,700,102,351,1784
+2012,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",180,88,932,274,241,5170,90,595,913,390,58,21,915,194,397,2271
+2012,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",112,70,504,153,126,2330,24,186,311,115,31,10,456,82,168,1115
+2012,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",109,82,395,138,101,1932,35,226,347,150,27,11,441,129,423,963
+2012,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",58,34,235,61,55,1242,71,206,185,56,15,5,356,46,23,625
+2012,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",86,57,471,123,105,2725,46,242,299,59,22,7,537,87,167,1040
+2012,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",34,16,265,83,80,1528,55,117,286,59,48,15,534,84,50,824
+2012,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",140,80,865,276,159,3588,62,291,616,166,67,22,1171,272,256,2086
+2012,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",11,6,223,53,23,607,1,17,7,0,0,1,389,315,18,293
+2012,"Pankow",30101,"Buch",16,6,154,45,48,1035,32,190,199,21,18,6,191,35,31,323
+2012,"Pankow",30202,"Blankenfelde/Niederschönhausen",12,4,136,27,54,782,37,179,148,69,26,14,215,31,11,337
+2012,"Pankow",30203,"Buchholz",9,3,71,13,38,456,21,69,56,38,10,1,114,7,16,182
+2012,"Pankow",30304,"Karow",3,1,44,6,32,481,11,85,183,19,10,6,118,24,4,151
+2012,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",7,1,74,9,21,898,14,160,149,55,12,4,154,9,16,161
+2012,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",23,10,79,24,26,599,17,138,111,82,7,1,143,19,20,229
+2012,"Pankow",30406,"Pankow Zentrum",33,11,212,62,83,2089,60,220,511,61,13,5,382,101,35,811
+2012,"Pankow",30408,"Pankow Süd",21,9,204,35,67,1235,56,170,388,50,10,7,298,78,24,616
+2012,"Pankow",30509,"Weißensee",34,15,308,78,99,1537,46,192,219,93,18,11,486,152,54,838
+2012,"Pankow",30510,"Weißensee Ost",20,8,103,23,50,610,20,105,74,23,4,1,205,32,18,334
+2012,"Pankow",30611,"Prenzlauer Berg Nordwest",80,32,228,68,83,1716,95,176,406,78,19,8,339,113,85,766
+2012,"Pankow",30612,"Prenzlauer Berg Nord",30,10,159,33,60,1870,86,146,407,67,5,0,282,75,33,582
+2012,"Pankow",30613,"Helmholtzplatz",23,6,189,47,52,1215,41,74,283,99,9,3,261,100,29,614
+2012,"Pankow",30614,"Prenzlauer Berg Ost",60,28,240,72,79,2063,57,216,289,61,19,9,439,131,51,714
+2012,"Pankow",30715,"Prenzlauer Berg Südwest",18,12,344,92,71,2016,52,223,381,149,10,2,536,192,34,996
+2012,"Pankow",30716,"Prenzlauer Berg Süd",16,6,166,30,81,1393,116,186,326,127,15,4,409,84,53,672
+2012,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",5,4,79,23,19,315,9,24,9,0,2,1,150,111,8,115
+2012,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",41,14,278,73,129,1006,70,304,60,99,9,2,245,5,159,740
+2012,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",21,9,213,93,36,579,37,155,58,51,7,2,141,36,31,353
+2012,"Charlottenburg-Wilmersdorf",40203,"Westend",40,12,207,48,117,1974,57,282,170,112,7,2,317,36,38,662
+2012,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",41,12,243,55,90,1140,31,133,288,88,9,3,231,23,44,616
+2012,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",32,12,165,46,61,893,31,211,148,38,12,5,150,18,111,413
+2012,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",53,15,421,113,128,2273,37,292,429,113,15,6,436,95,112,952
+2012,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",43,23,164,39,86,1283,65,254,298,105,8,2,169,20,80,560
+2012,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",65,23,251,65,112,2565,24,188,248,116,9,3,234,22,118,691
+2012,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",135,59,1083,361,159,4140,54,302,197,94,7,1,405,95,178,1685
+2012,"Charlottenburg-Wilmersdorf",40310,"Halensee",19,8,137,29,62,949,42,188,156,77,8,3,149,23,26,393
+2012,"Charlottenburg-Wilmersdorf",40411,"Grunewald",10,5,98,11,58,867,32,268,84,194,4,0,128,14,5,391
+2012,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",5,1,82,18,41,731,31,224,77,86,3,1,104,12,10,255
+2012,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",12,4,64,12,34,642,30,125,129,54,1,1,143,21,9,224
+2012,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",41,18,241,67,117,1779,68,362,301,158,14,6,376,113,54,741
+2012,"Charlottenburg-Wilmersdorf",40515,"Barstraße",19,10,110,33,43,774,23,160,142,44,6,3,151,29,14,302
+2012,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",64,23,252,67,110,1656,67,241,378,114,10,4,303,66,63,712
+2012,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",1,0,10,3,4,94,1,56,5,0,2,1,11,1,0,21
+2012,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",1,0,205,62,40,716,7,25,5,1,2,0,282,218,12,286
+2012,"Spandau",50101,"Hakenfelde",17,3,225,49,86,930,20,192,80,54,6,3,239,15,28,651
+2012,"Spandau",50102,"Falkenhagener Feld",40,14,432,113,181,1157,31,167,115,73,28,11,430,46,54,1166
+2012,"Spandau",50103,"Spandau Mitte",108,52,692,192,258,2371,30,201,279,68,26,7,593,103,206,1607
+2012,"Spandau",50204,"Brunsbütteler Damm",14,5,172,41,61,772,27,109,64,47,22,3,221,21,11,395
+2012,"Spandau",50205,"Heerstraße Nord",41,20,399,95,157,1108,36,130,67,91,33,15,427,34,29,1013
+2012,"Spandau",50206,"Wilhelmstadt",68,25,472,116,177,2158,18,214,235,100,25,10,568,85,89,1191
+2012,"Spandau",50307,"Haselhorst",36,16,165,35,70,1143,36,208,90,52,10,1,261,21,39,575
+2012,"Spandau",50308,"Siemensstadt",29,7,168,36,63,739,30,111,84,39,8,4,167,30,25,405
+2012,"Spandau",50409,"Gatow/Kladow",5,1,76,15,25,435,24,129,34,65,13,5,131,20,0,158
+2012,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",1,0,47,8,12,271,1,9,10,0,4,2,220,167,0,64
+2012,"Steglitz-Zehlendorf",60101,"Schloßstr.",61,28,217,50,51,2375,29,227,184,79,11,1,255,57,50,529
+2012,"Steglitz-Zehlendorf",60102,"Albrechtstr.",57,20,258,29,161,1581,88,347,202,136,14,8,439,111,44,832
+2012,"Steglitz-Zehlendorf",60203,"Lankwitz",36,15,268,51,161,1084,45,200,104,89,11,3,383,75,55,748
+2012,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",17,7,213,59,68,1165,53,244,194,96,13,5,310,37,29,482
+2012,"Steglitz-Zehlendorf",60305,"Teltower Damm",23,7,151,38,86,1254,36,243,301,103,10,2,339,70,50,445
+2012,"Steglitz-Zehlendorf",60306,"Drakestr.",18,4,206,33,106,1749,90,312,220,136,15,8,346,61,21,637
+2012,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",27,7,141,21,83,1006,59,269,95,113,21,6,248,26,17,380
+2012,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",44,22,259,51,120,1952,62,519,250,208,20,6,538,164,29,701
+2012,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",1,0,39,16,13,244,4,15,18,1,0,0,224,171,3,64
+2012,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",197,98,772,215,239,4048,53,425,481,292,31,11,729,157,214,1921
+2012,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",80,35,510,119,162,2699,62,312,557,219,26,11,545,145,239,1297
+2012,"Tempelhof-Schöneberg",70303,"Friedenau",44,15,306,66,165,2170,66,329,397,122,22,8,426,107,70,851
+2012,"Tempelhof-Schöneberg",70404,"Tempelhof",100,36,581,129,351,3645,122,753,352,159,50,20,813,129,291,1680
+2012,"Tempelhof-Schöneberg",70505,"Mariendorf",57,20,367,79,150,1871,74,508,127,131,29,8,501,75,84,1006
+2012,"Tempelhof-Schöneberg",70606,"Marienfelde",25,11,252,41,98,1357,62,220,129,52,18,5,276,34,54,619
+2012,"Tempelhof-Schöneberg",70707,"Lichtenrade",38,24,322,60,114,1267,63,421,118,148,32,6,472,70,87,745
+2012,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",5,2,106,26,22,357,2,5,8,0,0,0,145,105,27,144
+2012,"Neukölln",80101,"Schillerpromenade",169,84,676,213,252,2400,27,221,177,150,31,18,529,85,913,1965
+2012,"Neukölln",80102,"Neuköllner Mitte/Zentrum",138,55,944,290,288,4181,41,314,175,201,67,24,821,157,154,2164
+2012,"Neukölln",80103,"Reuterstraße",108,54,589,181,163,2679,48,264,310,245,24,11,509,97,226,1573
+2012,"Neukölln",80104,"Rixdorf",113,55,605,198,221,2088,38,316,261,201,32,16,550,80,103,1542
+2012,"Neukölln",80105,"Köllnische Heide",26,14,251,71,121,1190,49,303,44,60,15,4,315,61,39,631
+2012,"Neukölln",80206,"Britz",79,49,420,105,168,2132,71,566,169,175,27,12,501,63,65,1079
+2012,"Neukölln",80207,"Buckow",26,7,206,58,107,634,24,225,45,62,11,3,281,63,14,499
+2012,"Neukölln",80308,"Gropiusstadt",52,30,350,72,131,1942,25,195,140,67,13,1,525,79,32,1070
+2012,"Neukölln",80409,"Buckow Nord",14,3,65,11,34,409,11,73,12,46,6,1,64,3,6,176
+2012,"Neukölln",80410,"Rudow",40,25,206,50,90,1256,58,374,117,181,15,4,405,65,23,543
+2012,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",2,3,56,23,19,210,2,21,3,0,1,1,58,36,3,100
+2012,"Treptow-Köpenick",90101,"Alt-Treptow",45,24,136,37,35,1028,15,95,198,53,3,2,193,69,43,376
+2012,"Treptow-Köpenick",90102,"Plänterwald",10,6,63,18,21,500,20,106,66,34,6,2,171,37,4,243
+2012,"Treptow-Köpenick",90103,"Baumschulenweg",20,10,113,27,60,619,25,141,81,74,10,4,248,82,37,346
+2012,"Treptow-Köpenick",90104,"Johannisthal",16,7,95,27,52,537,22,93,42,48,8,2,206,59,11,245
+2012,"Treptow-Köpenick",90205,"Oberschöneweide",16,5,309,58,78,838,42,147,69,51,20,12,343,58,31,636
+2012,"Treptow-Köpenick",90206,"Niederschöneweide",29,13,150,31,48,871,12,76,100,19,11,5,200,65,40,320
+2012,"Treptow-Köpenick",90207,"Adlershof",29,10,133,29,48,961,24,123,164,34,8,6,222,53,20,345
+2012,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",9,2,122,29,30,389,11,44,74,14,15,2,191,56,17,265
+2012,"Treptow-Köpenick",90309,"Altglienicke",11,6,149,22,73,539,34,108,93,71,9,2,175,36,14,311
+2012,"Treptow-Köpenick",90310,"Bohnsdorf",2,0,61,11,29,340,18,58,37,27,8,1,93,24,13,134
+2012,"Treptow-Köpenick",90311,"Grünau",3,0,31,11,11,242,4,65,63,21,2,1,77,32,3,84
+2012,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",0,0,13,3,3,146,2,53,4,14,3,3,31,9,0,24
+2012,"Treptow-Köpenick",90413,"Köpenick-Süd",2,0,65,9,20,401,18,112,68,12,8,3,135,10,7,174
+2012,"Treptow-Köpenick",90414,"Allende-Viertel",2,0,37,6,26,194,12,31,36,3,1,0,66,15,2,100
+2012,"Treptow-Köpenick",90415,"Altstadt-Kietz",4,0,75,15,21,224,5,27,57,5,5,3,123,37,10,173
+2012,"Treptow-Köpenick",90416,"Müggelheim",1,1,10,0,13,113,7,41,21,8,1,1,46,2,1,43
+2012,"Treptow-Köpenick",90517,"Friedrichshagen",9,2,64,11,28,516,16,89,172,28,5,1,144,29,6,173
+2012,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",2,1,26,7,8,290,15,51,105,44,2,0,41,3,2,56
+2012,"Treptow-Köpenick",90519,"Dammvorstadt",7,4,122,30,21,568,9,43,93,12,13,7,148,33,35,244
+2012,"Treptow-Köpenick",90520,"Köpenick-Nord",5,2,45,9,20,245,4,42,43,33,3,0,88,14,6,118
+2012,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",3,1,104,36,23,320,2,26,14,0,3,3,376,293,7,161
+2012,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",35,14,442,89,104,751,34,123,97,31,33,10,353,55,49,811
+2012,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",70,30,721,131,204,2109,104,416,145,50,49,20,624,59,77,1460
+2012,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",55,20,295,61,91,1534,135,372,119,41,37,19,411,81,19,648
+2012,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",68,37,652,143,175,1576,46,230,133,28,57,16,640,173,70,1199
+2012,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",26,11,289,70,101,598,21,89,122,10,30,5,336,86,21,630
+2012,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",20,10,223,44,95,704,35,119,78,26,20,3,322,97,15,541
+2012,"Marzahn-Hellersdorf",100307,"Biesdorf",20,10,141,31,55,1153,36,213,192,97,9,1,213,45,21,287
+2012,"Marzahn-Hellersdorf",100408,"Kaulsdorf",21,9,110,15,39,465,17,89,89,77,2,1,150,27,8,251
+2012,"Marzahn-Hellersdorf",100409,"Mahlsdorf",6,4,89,20,49,607,20,117,89,97,4,2,268,87,23,250
+2012,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",10,3,90,21,16,217,3,10,11,0,1,0,118,90,5,125
+2012,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",2,1,26,4,20,178,3,21,11,10,11,5,54,13,5,55
+2012,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",27,11,328,53,93,826,30,103,152,19,15,7,276,56,40,765
+2012,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",30,12,330,84,81,1027,42,128,99,30,20,3,290,35,21,718
+2012,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",11,4,134,34,42,770,18,120,40,59,7,3,150,30,12,314
+2012,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",26,10,234,48,74,1243,59,266,146,70,12,6,334,72,13,647
+2012,"Lichtenberg",110306,"Fennpfuhl",26,14,284,77,90,1232,67,243,187,89,17,8,419,90,22,748
+2012,"Lichtenberg",110307,"Alt-Lichtenberg",25,10,350,81,119,2071,58,328,194,76,26,11,377,75,35,818
+2012,"Lichtenberg",110308,"Frankfurter Allee Süd",19,6,67,18,16,578,24,96,111,25,6,2,105,12,52,200
+2012,"Lichtenberg",110409,"Neu Lichtenberg",27,16,284,68,95,1286,53,150,174,83,30,9,428,128,62,734
+2012,"Lichtenberg",110410,"Friedrichsfelde Nord",22,15,174,43,41,683,30,159,39,38,7,2,202,64,24,379
+2012,"Lichtenberg",110411,"Friedrichsfelde Süd",28,9,159,34,54,790,41,142,88,60,10,3,225,61,17,402
+2012,"Lichtenberg",110512,"Rummelsburger Bucht",4,0,18,6,7,227,4,69,48,7,16,6,67,20,2,60
+2012,"Lichtenberg",110513,"Karlshorst",8,3,95,18,41,694,15,137,124,63,8,2,180,60,24,273
+2012,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",5,1,87,18,16,306,1,17,5,3,2,0,248,180,6,139
+2012,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",60,21,400,101,169,1119,38,205,179,110,11,4,337,34,137,939
+2012,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",50,18,290,63,128,1525,37,301,215,79,22,10,324,53,149,721
+2012,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",11,3,271,73,111,1556,36,406,68,105,12,1,285,27,312,644
+2012,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",49,19,376,96,169,1353,27,205,107,103,15,8,328,47,86,867
+2012,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",24,14,233,67,61,1041,9,109,106,32,7,0,219,47,34,434
+2012,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",8,3,89,10,64,567,43,175,93,96,11,6,299,114,24,284
+2012,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",20,8,116,30,72,1059,50,293,250,155,7,4,250,57,40,340
+2012,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",38,12,332,79,115,1464,30,256,195,110,16,4,356,81,103,672
+2012,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",51,21,490,126,199,2013,65,305,173,99,74,18,505,72,76,1306
+2012,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",9,2,103,21,32,429,8,75,30,29,7,1,101,10,18,229
+2012,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",15,9,145,37,59,618,24,123,121,67,5,2,167,20,40,328
+2012,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",2,1,31,10,12,154,2,11,3,0,6,5,124,73,5,51
+2013,"Mitte",10111,"Tiergarten Süd",88,60,522,148,124,2652,17,392,149,62,14,3,263,28,114,974
+2013,"Mitte",10112,"Regierungsviertel",53,25,480,120,128,3862,23,337,254,33,5,1,355,130,67,862
+2013,"Mitte",10113,"Alexanderplatz",237,149,1442,354,333,10165,85,760,926,281,47,20,1301,448,590,3029
+2013,"Mitte",10114,"Brunnenstraße Süd",41,14,226,51,68,2503,101,244,358,137,8,3,366,134,92,1003
+2013,"Mitte",10221,"Moabit West",94,47,597,156,231,2441,76,463,336,139,47,12,532,88,209,1342
+2013,"Mitte",10222,"Moabit Ost",76,37,496,122,181,2536,82,446,353,128,35,16,418,59,362,1188
+2013,"Mitte",10331,"Osloer Straße",125,64,814,210,253,3540,26,378,279,166,28,8,441,55,366,1674
+2013,"Mitte",10332,"Brunnenstraße Nord",126,58,667,164,200,3248,102,521,269,196,36,13,454,84,299,1597
+2013,"Mitte",10441,"Parkviertel",87,38,712,206,269,2924,74,566,290,154,32,16,541,81,236,1722
+2013,"Mitte",10442,"Wedding Zentrum",160,76,1156,341,382,3307,48,603,319,201,70,25,822,127,526,2388
+2013,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",9,5,403,94,64,2136,4,43,14,0,6,4,251,158,3,521
+2013,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",125,76,693,185,243,3394,57,700,345,186,45,15,639,84,265,1703
+2013,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",143,81,869,242,282,5097,142,618,935,338,35,14,805,187,352,2051
+2013,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",140,108,556,192,115,2805,38,165,351,103,27,4,510,120,208,1202
+2013,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",210,169,562,199,90,2474,66,169,371,119,32,13,468,137,767,1239
+2013,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",31,18,214,63,66,1361,62,189,184,56,14,2,255,27,27,634
+2013,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",87,62,492,144,107,2844,53,304,267,68,15,3,530,117,219,1172
+2013,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",33,19,298,71,77,1769,82,150,395,76,33,13,440,55,64,862
+2013,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",124,80,897,297,156,4070,96,333,660,144,61,26,1270,308,468,2148
+2013,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",13,9,211,44,32,660,6,8,7,0,3,0,177,133,21,278
+2013,"Pankow",30101,"Buch",12,5,119,20,66,858,21,180,143,29,18,9,210,55,33,308
+2013,"Pankow",30202,"Blankenfelde/Niederschönhausen",16,4,126,28,80,894,35,274,168,62,21,8,180,34,15,386
+2013,"Pankow",30203,"Buchholz",3,2,75,19,36,483,47,74,45,23,2,0,130,23,8,179
+2013,"Pankow",30304,"Karow",4,2,106,19,40,449,8,102,101,36,6,3,88,11,6,206
+2013,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",6,1,66,12,38,824,34,217,121,63,10,7,119,7,14,197
+2013,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",15,8,60,13,38,604,13,131,126,67,6,3,80,16,10,193
+2013,"Pankow",30406,"Pankow Zentrum",37,11,221,47,104,2164,45,254,570,102,14,6,337,71,29,776
+2013,"Pankow",30408,"Pankow Süd",16,9,226,52,87,1211,55,222,392,59,14,5,230,25,27,613
+2013,"Pankow",30509,"Weißensee",28,9,278,56,127,1655,68,225,251,63,25,16,425,102,44,973
+2013,"Pankow",30510,"Weißensee Ost",11,8,146,25,47,626,22,147,61,26,28,22,132,18,32,334
+2013,"Pankow",30611,"Prenzlauer Berg Nordwest",51,31,208,62,59,1718,94,184,407,67,12,6,325,78,69,683
+2013,"Pankow",30612,"Prenzlauer Berg Nord",21,6,202,43,65,1914,88,216,452,52,14,3,254,61,52,595
+2013,"Pankow",30613,"Helmholtzplatz",14,4,148,38,44,1280,57,91,279,90,10,2,238,65,20,590
+2013,"Pankow",30614,"Prenzlauer Berg Ost",43,21,243,59,72,2151,49,317,337,43,17,5,430,167,68,619
+2013,"Pankow",30715,"Prenzlauer Berg Südwest",29,12,325,86,56,2201,87,218,349,118,16,9,403,130,45,907
+2013,"Pankow",30716,"Prenzlauer Berg Süd",17,9,154,33,76,1633,131,256,394,87,17,6,327,70,47,686
+2013,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",9,5,90,20,16,398,8,30,7,5,3,1,188,142,20,125
+2013,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",53,16,298,64,154,1119,71,418,65,79,15,7,230,20,156,710
+2013,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",19,8,127,41,45,720,34,232,56,62,3,2,143,47,22,273
+2013,"Charlottenburg-Wilmersdorf",40203,"Westend",31,10,192,46,116,2344,64,465,193,110,10,7,226,34,23,587
+2013,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",46,21,205,46,92,1205,29,176,256,92,12,7,186,28,63,633
+2013,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",40,22,146,32,70,846,21,201,103,57,11,3,130,13,96,466
+2013,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",60,24,385,98,127,2260,27,308,355,157,14,5,410,94,141,965
+2013,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",46,17,247,55,108,1384,59,292,278,108,8,4,290,73,135,723
+2013,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",60,28,295,79,98,2798,20,198,268,119,8,3,211,25,165,695
+2013,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",112,46,919,287,183,4299,60,369,172,106,6,1,342,75,197,1517
+2013,"Charlottenburg-Wilmersdorf",40310,"Halensee",23,8,135,25,71,1011,64,180,172,85,7,3,167,38,30,433
+2013,"Charlottenburg-Wilmersdorf",40411,"Grunewald",13,6,96,28,68,950,53,330,82,164,6,3,123,14,13,414
+2013,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",11,5,72,14,33,816,30,212,69,111,4,0,110,17,8,266
+2013,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",12,4,83,12,43,656,24,221,127,55,2,2,140,25,2,293
+2013,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",37,15,258,69,109,1970,83,448,263,194,15,4,330,89,52,778
+2013,"Charlottenburg-Wilmersdorf",40515,"Barstraße",23,14,116,29,57,903,15,199,154,64,1,1,143,21,20,378
+2013,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",51,13,227,62,95,1690,61,388,356,100,24,10,303,61,50,667
+2013,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",1,1,15,5,5,68,2,33,4,0,2,1,21,0,2,27
+2013,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",1,0,182,57,33,694,3,16,0,0,1,1,254,215,5,237
+2013,"Spandau",50101,"Hakenfelde",14,8,172,42,76,1005,25,187,56,52,20,6,222,21,40,704
+2013,"Spandau",50102,"Falkenhagener Feld",52,21,445,85,150,1170,35,180,146,89,40,5,351,13,46,1135
+2013,"Spandau",50103,"Spandau Mitte",96,46,758,181,243,2471,41,291,267,72,31,8,602,112,223,1630
+2013,"Spandau",50204,"Brunsbütteler Damm",16,7,167,44,59,911,32,136,62,58,10,2,229,56,21,417
+2013,"Spandau",50205,"Heerstraße Nord",29,15,377,102,159,1124,51,167,71,71,19,3,352,43,34,1031
+2013,"Spandau",50206,"Wilhelmstadt",43,21,478,111,217,2470,45,238,188,92,21,8,480,39,120,1248
+2013,"Spandau",50307,"Haselhorst",20,8,156,40,64,1099,30,180,59,53,11,3,238,22,25,551
+2013,"Spandau",50308,"Siemensstadt",19,11,158,34,67,775,29,153,83,30,8,4,155,28,12,426
+2013,"Spandau",50409,"Gatow/Kladow",4,1,70,16,32,456,11,107,25,80,11,5,141,28,4,163
+2013,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",2,1,36,6,11,244,4,11,7,1,3,1,150,119,3,53
+2013,"Steglitz-Zehlendorf",60101,"Schloßstr.",67,32,205,30,71,2879,29,193,176,107,12,5,235,75,40,586
+2013,"Steglitz-Zehlendorf",60102,"Albrechtstr.",54,22,263,52,145,1617,112,418,232,162,17,6,332,62,59,879
+2013,"Steglitz-Zehlendorf",60203,"Lankwitz",34,14,311,60,138,1315,61,317,122,137,24,6,364,70,88,784
+2013,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",19,11,232,52,97,1286,61,344,188,89,12,6,235,34,55,549
+2013,"Steglitz-Zehlendorf",60305,"Teltower Damm",35,14,153,30,92,1403,57,374,284,148,17,4,254,39,51,475
+2013,"Steglitz-Zehlendorf",60306,"Drakestr.",30,7,198,33,108,1936,85,497,222,166,17,8,289,33,49,635
+2013,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",21,11,161,28,77,1289,49,441,149,155,9,2,215,22,33,422
+2013,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",27,11,219,44,118,2207,88,684,226,292,17,2,404,139,46,610
+2013,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",1,1,44,8,26,214,3,7,2,0,2,1,209,169,2,68
+2013,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",241,122,786,237,243,4449,85,508,447,233,54,19,681,135,307,1976
+2013,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",93,49,548,149,177,2900,56,376,627,162,23,9,518,113,218,1406
+2013,"Tempelhof-Schöneberg",70303,"Friedenau",62,19,259,43,115,2909,79,430,424,89,28,7,402,106,75,751
+2013,"Tempelhof-Schöneberg",70404,"Tempelhof",88,35,659,155,299,3581,109,791,348,145,48,13,703,123,300,1647
+2013,"Tempelhof-Schöneberg",70505,"Mariendorf",60,35,417,90,178,1886,91,513,140,145,27,5,493,59,102,1143
+2013,"Tempelhof-Schöneberg",70606,"Marienfelde",23,12,243,56,109,1310,35,238,78,68,22,3,225,23,50,629
+2013,"Tempelhof-Schöneberg",70707,"Lichtenrade",31,14,339,64,135,1231,51,390,98,179,29,10,338,46,64,754
+2013,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",2,2,69,14,22,375,0,7,7,1,1,1,105,68,6,105
+2013,"Neukölln",80101,"Schillerpromenade",144,84,679,218,208,2193,40,284,201,140,32,13,561,119,929,1630
+2013,"Neukölln",80102,"Neuköllner Mitte/Zentrum",135,69,843,237,248,4367,58,437,226,175,39,19,618,109,200,2048
+2013,"Neukölln",80103,"Reuterstraße",95,49,509,182,173,2808,65,244,300,151,27,14,567,112,232,1285
+2013,"Neukölln",80104,"Rixdorf",125,72,603,168,201,2211,50,367,269,148,31,15,509,86,110,1531
+2013,"Neukölln",80105,"Köllnische Heide",30,16,231,65,132,1339,54,349,34,44,21,8,508,45,29,672
+2013,"Neukölln",80206,"Britz",75,47,427,113,199,2123,99,623,156,159,39,15,413,39,53,1188
+2013,"Neukölln",80207,"Buckow",24,11,138,38,69,687,23,214,39,93,11,3,227,29,23,455
+2013,"Neukölln",80308,"Gropiusstadt",76,37,274,65,115,1775,44,242,164,72,28,11,479,54,28,834
+2013,"Neukölln",80409,"Buckow Nord",11,3,88,19,38,461,12,115,25,28,13,1,91,5,5,216
+2013,"Neukölln",80410,"Rudow",32,19,230,69,104,1344,111,441,144,153,10,3,288,23,16,570
+2013,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",5,4,57,17,11,230,2,16,0,0,0,0,52,39,10,77
+2013,"Treptow-Köpenick",90101,"Alt-Treptow",45,29,127,30,33,1069,21,109,228,42,2,1,166,51,65,343
+2013,"Treptow-Köpenick",90102,"Plänterwald",12,7,82,16,25,594,27,210,77,32,7,1,133,16,6,241
+2013,"Treptow-Köpenick",90103,"Baumschulenweg",21,12,95,20,59,684,35,211,100,47,8,3,167,46,24,308
+2013,"Treptow-Köpenick",90104,"Johannisthal",11,4,99,16,61,619,57,168,75,45,9,4,164,34,15,256
+2013,"Treptow-Köpenick",90205,"Oberschöneweide",23,13,353,81,99,1066,69,185,119,27,14,8,372,132,41,720
+2013,"Treptow-Köpenick",90206,"Niederschöneweide",14,5,145,40,44,903,25,93,133,10,11,6,169,51,32,279
+2013,"Treptow-Köpenick",90207,"Adlershof",20,13,118,34,57,960,32,152,204,18,10,3,158,28,13,291
+2013,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",10,5,143,35,41,327,20,54,75,13,20,14,202,64,20,316
+2013,"Treptow-Köpenick",90309,"Altglienicke",7,3,164,32,73,634,47,228,97,46,15,3,130,19,23,332
+2013,"Treptow-Köpenick",90310,"Bohnsdorf",6,2,66,9,30,352,23,87,43,28,5,3,115,34,14,138
+2013,"Treptow-Köpenick",90311,"Grünau",2,0,22,5,12,233,15,49,72,15,4,3,56,18,7,54
+2013,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",1,0,21,3,12,171,4,82,3,13,2,2,27,2,0,43
+2013,"Treptow-Köpenick",90413,"Köpenick-Süd",1,1,73,9,31,361,20,123,61,10,16,3,133,28,7,186
+2013,"Treptow-Köpenick",90414,"Allende-Viertel",0,0,38,2,14,198,10,20,51,2,3,0,48,16,2,97
+2013,"Treptow-Köpenick",90415,"Altstadt-Kietz",7,2,94,15,24,220,7,28,61,9,3,1,88,16,5,199
+2013,"Treptow-Köpenick",90416,"Müggelheim",0,0,14,1,16,107,6,32,7,6,2,1,26,0,1,45
+2013,"Treptow-Köpenick",90517,"Friedrichshagen",10,4,73,16,36,560,30,91,221,13,8,2,112,25,2,176
+2013,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",2,2,25,4,23,348,11,141,69,37,2,1,55,5,2,75
+2013,"Treptow-Köpenick",90519,"Dammvorstadt",10,4,139,28,37,807,16,66,163,10,20,12,150,12,51,322
+2013,"Treptow-Köpenick",90520,"Köpenick-Nord",4,2,38,14,31,281,20,78,59,27,8,3,73,9,1,129
+2013,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",3,1,80,25,17,275,5,29,5,1,2,2,278,221,11,106
+2013,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",38,17,402,87,115,795,52,126,88,30,32,11,279,43,33,780
+2013,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",81,31,782,165,184,1973,103,467,147,43,47,15,505,68,78,1396
+2013,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",52,21,340,68,125,1631,157,361,114,37,17,7,356,66,23,818
+2013,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",61,35,717,141,194,1465,45,202,169,23,72,26,581,150,83,1357
+2013,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",30,20,205,38,80,568,18,79,126,14,19,9,224,33,32,479
+2013,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",34,23,286,48,86,657,32,121,102,20,26,3,252,75,33,595
+2013,"Marzahn-Hellersdorf",100307,"Biesdorf",10,4,177,23,77,1260,35,290,190,55,18,8,215,28,18,349
+2013,"Marzahn-Hellersdorf",100408,"Kaulsdorf",9,4,71,13,41,504,16,168,86,82,6,3,122,26,7,178
+2013,"Marzahn-Hellersdorf",100409,"Mahlsdorf",9,3,86,14,55,734,41,215,86,112,2,0,130,25,15,184
+2013,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",3,0,73,18,15,243,9,3,6,0,1,0,154,106,2,93
+2013,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",2,0,23,3,12,246,4,41,8,35,5,4,29,3,5,52
+2013,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",29,16,333,59,81,802,27,125,99,18,13,7,201,27,67,712
+2013,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",32,8,287,49,64,980,62,130,78,40,21,6,274,30,40,643
+2013,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",13,3,117,23,48,845,24,145,37,44,11,6,193,26,14,339
+2013,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",31,16,206,37,93,1367,72,279,151,66,15,4,316,71,34,731
+2013,"Lichtenberg",110306,"Fennpfuhl",26,14,257,49,78,1170,77,262,188,44,17,4,318,72,25,613
+2013,"Lichtenberg",110307,"Alt-Lichtenberg",37,22,372,99,109,1943,65,327,178,52,22,11,388,103,56,874
+2013,"Lichtenberg",110308,"Frankfurter Allee Süd",18,10,90,15,31,646,35,106,137,16,8,4,104,13,53,237
+2013,"Lichtenberg",110409,"Neu Lichtenberg",34,16,246,48,68,1382,72,208,287,30,24,14,318,94,65,663
+2013,"Lichtenberg",110410,"Friedrichsfelde Nord",15,4,147,33,50,716,50,144,34,39,20,7,142,28,17,338
+2013,"Lichtenberg",110411,"Friedrichsfelde Süd",25,8,161,32,61,743,49,141,88,49,11,3,202,76,14,403
+2013,"Lichtenberg",110512,"Rummelsburger Bucht",6,4,19,7,8,173,9,45,25,9,22,10,63,13,8,62
+2013,"Lichtenberg",110513,"Karlshorst",10,5,111,22,44,852,67,186,157,70,19,11,192,32,5,351
+2013,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",4,3,64,24,6,209,6,8,7,0,1,0,169,123,6,83
+2013,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",38,15,393,94,166,1183,30,191,158,80,16,10,260,29,132,979
+2013,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",49,21,313,63,130,1433,39,322,170,60,30,13,322,55,152,789
+2013,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",15,5,228,52,89,1446,20,254,53,76,10,7,175,23,228,529
+2013,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",45,17,342,80,166,1375,32,187,117,67,14,8,321,43,100,850
+2013,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",23,13,158,38,53,969,12,98,102,19,6,3,165,30,41,336
+2013,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",4,3,90,15,48,639,16,261,77,129,10,4,212,36,27,279
+2013,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",25,9,117,23,49,1180,41,391,273,205,7,1,227,49,19,334
+2013,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",45,22,310,61,130,1631,22,291,169,99,16,4,264,59,97,662
+2013,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",86,57,600,135,219,1986,37,328,133,67,44,18,428,36,139,1486
+2013,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",14,9,85,21,39,487,6,82,26,36,6,4,116,15,14,223
+2013,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",15,7,121,27,52,645,11,102,70,64,17,5,117,13,33,272
+2013,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",3,0,23,7,7,136,1,7,0,1,6,6,92,46,7,34
+2014,"Mitte",10111,"Tiergarten Süd",74,48,514,134,133,2604,17,220,195,70,8,5,252,30,163,1043
+2014,"Mitte",10112,"Regierungsviertel",51,19,432,84,115,4370,11,189,371,52,3,2,385,137,89,843
+2014,"Mitte",10113,"Alexanderplatz",203,106,1309,364,350,10510,89,710,1074,241,46,18,1207,351,506,2984
+2014,"Mitte",10114,"Brunnenstraße Süd",34,16,180,31,68,2248,56,230,488,127,6,1,356,132,79,771
+2014,"Mitte",10221,"Moabit West",76,32,557,147,159,2650,73,482,399,118,36,15,482,82,216,1226
+2014,"Mitte",10222,"Moabit Ost",57,33,599,157,173,3834,43,415,426,98,42,19,498,83,399,1282
+2014,"Mitte",10331,"Osloer Straße",111,52,772,190,218,3846,31,410,344,202,38,14,471,48,266,1645
+2014,"Mitte",10332,"Brunnenstraße Nord",107,47,648,167,217,3183,69,407,384,178,48,19,532,92,302,1574
+2014,"Mitte",10441,"Parkviertel",89,46,652,151,240,3372,58,461,353,176,28,8,473,52,192,1687
+2014,"Mitte",10442,"Wedding Zentrum",131,68,1052,283,351,3802,61,487,426,257,35,17,692,160,511,2342
+2014,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",81,54,64,28,60,1515,27,341,209,5,15,7,58,0,157,306
+2014,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",119,80,675,194,224,3951,53,825,463,162,45,14,600,90,218,1563
+2014,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",128,60,986,264,262,5460,97,545,1010,230,54,18,854,212,226,2047
+2014,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",125,86,566,214,128,3197,26,185,398,97,40,13,462,132,405,1153
+2014,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",171,132,583,271,117,2814,31,213,373,82,57,18,508,165,996,1231
+2014,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",30,20,187,43,72,1462,66,272,223,72,18,6,265,34,27,631
+2014,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",88,57,524,144,109,3300,42,302,352,46,18,6,515,87,291,1054
+2014,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",16,9,300,65,91,2095,72,194,469,71,30,10,562,77,62,998
+2014,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",162,116,880,287,163,5162,71,358,849,143,44,19,1184,218,665,2099
+2014,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",101,90,65,37,46,1352,27,213,198,1,8,5,84,0,149,306
+2014,"Pankow",30101,"Buch",6,3,123,32,79,761,30,194,95,24,19,8,171,25,20,307
+2014,"Pankow",30202,"Blankenfelde/Niederschönhausen",7,2,120,30,59,759,23,168,124,85,14,4,144,22,13,321
+2014,"Pankow",30203,"Buchholz",2,1,68,16,31,459,21,78,51,38,2,0,97,27,9,148
+2014,"Pankow",30304,"Karow",4,3,49,8,23,397,9,89,104,50,2,0,100,8,9,143
+2014,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",8,1,80,17,48,839,17,135,105,53,7,7,112,8,7,201
+2014,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",9,3,56,6,38,622,19,111,100,67,5,0,117,20,14,217
+2014,"Pankow",30406,"Pankow Zentrum",35,20,186,42,80,2190,56,237,614,69,25,11,316,74,36,711
+2014,"Pankow",30408,"Pankow Süd",26,15,162,47,75,1392,69,220,386,72,13,10,303,53,21,670
+2014,"Pankow",30509,"Weißensee",28,14,289,67,109,1669,67,219,257,65,19,4,382,79,37,839
+2014,"Pankow",30510,"Weißensee Ost",5,4,146,27,53,591,26,132,80,36,8,2,180,32,24,326
+2014,"Pankow",30611,"Prenzlauer Berg Nordwest",38,22,224,61,56,1935,51,234,507,45,12,4,319,90,76,760
+2014,"Pankow",30612,"Prenzlauer Berg Nord",31,13,168,37,56,1984,80,213,546,38,7,4,284,123,35,627
+2014,"Pankow",30613,"Helmholtzplatz",10,4,137,40,32,1472,47,109,364,95,7,4,215,64,23,609
+2014,"Pankow",30614,"Prenzlauer Berg Ost",30,18,247,60,63,2298,92,313,351,77,10,4,546,228,51,701
+2014,"Pankow",30715,"Prenzlauer Berg Südwest",24,13,319,95,56,2267,62,192,426,187,8,2,351,110,31,934
+2014,"Pankow",30716,"Prenzlauer Berg Süd",13,7,145,28,49,1697,100,229,380,137,13,6,321,73,29,738
+2014,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",37,27,68,22,44,678,47,201,170,0,1,0,36,0,65,211
+2014,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",47,25,302,59,120,1216,54,396,64,76,9,4,246,50,160,759
+2014,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",16,10,163,52,41,692,54,191,56,96,1,1,184,76,26,307
+2014,"Charlottenburg-Wilmersdorf",40203,"Westend",36,24,222,44,121,2767,64,406,193,112,12,8,280,55,20,776
+2014,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",30,8,242,53,101,1205,23,165,231,88,6,3,233,67,38,643
+2014,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",41,16,138,39,68,825,16,205,71,42,5,0,119,16,151,369
+2014,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",52,28,429,87,163,2391,50,289,361,118,12,3,368,77,79,1040
+2014,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",36,12,235,59,77,1598,57,323,277,110,11,7,219,55,116,660
+2014,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",54,21,232,51,117,2830,24,216,321,103,10,4,225,22,138,664
+2014,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",107,52,919,278,185,4781,48,377,216,106,9,6,376,93,168,1554
+2014,"Charlottenburg-Wilmersdorf",40310,"Halensee",16,7,124,33,73,1018,37,160,107,84,4,2,153,36,35,391
+2014,"Charlottenburg-Wilmersdorf",40411,"Grunewald",13,8,82,21,51,931,63,300,56,244,7,3,124,15,16,434
+2014,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",12,7,85,14,36,607,23,131,67,99,4,1,67,2,8,256
+2014,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",7,5,73,7,31,605,16,121,183,74,5,2,90,20,16,242
+2014,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",59,35,219,35,119,1878,83,434,239,170,19,5,345,95,69,783
+2014,"Charlottenburg-Wilmersdorf",40515,"Barstraße",18,14,108,22,56,854,19,209,170,59,3,3,108,22,39,301
+2014,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",56,35,261,51,81,1920,70,385,400,165,9,4,272,67,51,722
+2014,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",0,0,6,2,3,43,0,17,3,0,0,0,13,1,3,11
+2014,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",41,31,0,0,50,668,66,349,102,0,8,2,0,0,75,135
+2014,"Spandau",50101,"Hakenfelde",17,10,156,42,65,705,33,148,63,36,18,7,173,9,32,376
+2014,"Spandau",50102,"Falkenhagener Feld",36,14,420,87,137,1202,31,224,164,98,29,10,357,33,61,991
+2014,"Spandau",50103,"Spandau Mitte",99,67,674,154,212,2815,36,354,304,55,26,10,546,83,226,1624
+2014,"Spandau",50204,"Brunsbütteler Damm",16,12,132,35,79,780,36,145,64,75,13,4,146,14,24,350
+2014,"Spandau",50205,"Heerstraße Nord",34,24,362,67,127,1028,34,155,99,71,33,10,297,20,30,858
+2014,"Spandau",50206,"Wilhelmstadt",64,27,536,127,190,2215,33,252,240,95,21,12,467,83,92,1075
+2014,"Spandau",50307,"Haselhorst",19,7,150,33,49,859,31,195,65,31,17,8,167,17,18,351
+2014,"Spandau",50308,"Siemensstadt",24,7,168,43,60,1015,38,201,102,31,9,5,165,45,15,464
+2014,"Spandau",50409,"Gatow/Kladow",7,4,81,16,31,454,22,95,27,63,6,4,93,5,6,154
+2014,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",28,23,45,15,38,317,18,116,46,0,2,0,35,0,45,165
+2014,"Steglitz-Zehlendorf",60101,"Schloßstr.",43,18,174,45,77,2302,39,173,180,115,8,2,247,74,40,488
+2014,"Steglitz-Zehlendorf",60102,"Albrechtstr.",43,25,267,43,136,1449,85,348,229,145,16,5,417,78,42,823
+2014,"Steglitz-Zehlendorf",60203,"Lankwitz",26,13,277,63,129,1147,67,290,101,101,37,18,271,37,116,661
+2014,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",15,7,199,38,85,1238,63,289,222,130,12,5,309,33,46,560
+2014,"Steglitz-Zehlendorf",60305,"Teltower Damm",25,12,150,29,79,1377,58,362,311,146,14,4,315,64,42,456
+2014,"Steglitz-Zehlendorf",60306,"Drakestr.",9,7,200,29,103,1645,86,363,222,136,11,7,278,53,44,557
+2014,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",18,14,137,25,67,1264,69,310,143,159,14,3,315,103,23,394
+2014,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",21,11,145,27,83,2379,104,573,376,446,25,6,428,143,44,655
+2014,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",10,8,26,4,30,291,11,100,76,1,2,2,0,0,36,101
+2014,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",170,105,725,210,278,4601,67,492,527,261,42,12,571,106,315,1865
+2014,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",57,26,539,121,174,3036,49,406,685,168,22,6,493,113,216,1220
+2014,"Tempelhof-Schöneberg",70303,"Friedenau",43,30,252,42,93,2785,67,386,472,179,24,16,407,127,52,777
+2014,"Tempelhof-Schöneberg",70404,"Tempelhof",80,49,671,142,290,3816,113,798,372,186,46,14,745,138,316,1793
+2014,"Tempelhof-Schöneberg",70505,"Mariendorf",47,28,395,94,161,1807,78,490,146,142,20,9,437,55,96,976
+2014,"Tempelhof-Schöneberg",70606,"Marienfelde",27,19,204,37,85,1231,37,267,115,55,29,10,286,30,43,552
+2014,"Tempelhof-Schöneberg",70707,"Lichtenrade",28,14,304,59,138,1146,74,330,121,126,23,5,389,55,69,726
+2014,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",44,35,27,0,36,640,19,167,102,0,7,1,39,0,39,155
+2014,"Neukölln",80101,"Schillerpromenade",71,37,519,139,158,1923,25,310,180,123,18,8,547,190,519,1176
+2014,"Neukölln",80102,"Neuköllner Mitte/Zentrum",93,46,773,243,252,4450,60,553,247,154,36,10,615,113,176,1717
+2014,"Neukölln",80103,"Reuterstraße",71,32,569,147,172,2898,45,248,319,192,18,7,495,129,129,1248
+2014,"Neukölln",80104,"Rixdorf",88,41,576,151,159,2328,52,490,331,194,28,12,545,95,124,1358
+2014,"Neukölln",80105,"Köllnische Heide",26,13,199,55,122,1132,32,345,37,48,22,12,536,46,42,539
+2014,"Neukölln",80206,"Britz",73,46,457,111,178,2243,90,572,167,175,27,8,450,61,92,1207
+2014,"Neukölln",80207,"Buckow",18,8,133,20,67,687,49,203,32,81,8,4,177,14,7,359
+2014,"Neukölln",80308,"Gropiusstadt",55,39,341,92,132,1687,42,184,185,88,27,11,471,44,33,963
+2014,"Neukölln",80409,"Buckow Nord",9,4,94,15,31,468,9,96,30,51,10,8,71,4,9,204
+2014,"Neukölln",80410,"Rudow",32,18,207,54,92,1186,114,317,153,174,22,10,300,30,8,542
+2014,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",44,36,84,20,65,687,20,164,51,1,2,1,46,0,41,231
+2014,"Treptow-Köpenick",90101,"Alt-Treptow",45,36,134,35,43,1198,30,183,281,38,11,5,195,62,66,364
+2014,"Treptow-Köpenick",90102,"Plänterwald",11,7,45,8,23,746,36,175,63,38,11,8,148,14,16,247
+2014,"Treptow-Köpenick",90103,"Baumschulenweg",19,8,106,23,57,894,63,216,125,52,8,3,140,24,21,305
+2014,"Treptow-Köpenick",90104,"Johannisthal",15,9,84,17,47,581,31,105,81,37,10,2,149,13,12,253
+2014,"Treptow-Köpenick",90205,"Oberschöneweide",12,5,287,65,94,987,46,245,138,23,12,7,221,39,50,587
+2014,"Treptow-Köpenick",90206,"Niederschöneweide",13,8,153,20,27,924,22,106,129,20,7,4,193,92,38,296
+2014,"Treptow-Köpenick",90207,"Adlershof",13,7,112,23,59,1054,44,183,165,28,11,5,201,79,19,324
+2014,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",5,5,117,19,36,379,27,68,78,13,3,1,101,18,20,276
+2014,"Treptow-Köpenick",90309,"Altglienicke",9,5,148,20,56,724,71,178,95,61,5,1,129,19,23,299
+2014,"Treptow-Köpenick",90310,"Bohnsdorf",7,6,53,11,28,400,19,124,54,28,1,1,68,12,10,128
+2014,"Treptow-Köpenick",90311,"Grünau",5,1,43,16,13,272,8,83,63,8,3,2,98,38,4,95
+2014,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",1,1,19,2,6,176,3,53,6,13,1,0,23,0,2,42
+2014,"Treptow-Köpenick",90413,"Köpenick-Süd",4,2,64,10,28,437,21,142,72,15,20,6,176,17,12,222
+2014,"Treptow-Köpenick",90414,"Allende-Viertel",2,0,50,13,29,222,14,36,25,8,3,2,61,11,5,117
+2014,"Treptow-Köpenick",90415,"Altstadt-Kietz",2,1,84,9,22,255,11,59,53,7,11,6,90,8,3,181
+2014,"Treptow-Köpenick",90416,"Müggelheim",0,0,12,2,5,105,4,35,8,16,4,4,22,1,3,26
+2014,"Treptow-Köpenick",90517,"Friedrichshagen",2,0,83,25,40,780,48,152,253,26,2,1,148,35,10,270
+2014,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",2,1,33,7,16,337,6,132,79,30,2,1,63,7,1,72
+2014,"Treptow-Köpenick",90519,"Dammvorstadt",14,7,122,33,36,706,12,49,142,8,8,5,192,27,44,337
+2014,"Treptow-Köpenick",90520,"Köpenick-Nord",3,2,45,11,29,342,25,93,76,25,1,1,99,29,13,145
+2014,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",25,21,10,7,33,348,25,186,84,1,9,7,0,0,20,143
+2014,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",32,19,440,75,96,637,44,109,94,19,20,7,195,21,36,753
+2014,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",66,43,685,149,161,1681,79,305,184,28,23,12,525,56,70,1365
+2014,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",55,29,339,67,118,1383,117,322,112,47,25,7,349,38,31,751
+2014,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",32,20,634,109,189,1595,65,211,166,36,31,13,565,110,94,1300
+2014,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",19,9,245,35,78,598,27,102,104,12,9,4,193,48,41,543
+2014,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",17,13,258,45,96,627,43,98,89,23,30,8,264,74,22,577
+2014,"Marzahn-Hellersdorf",100307,"Biesdorf",8,5,162,23,66,1112,40,272,177,62,8,2,166,19,32,341
+2014,"Marzahn-Hellersdorf",100408,"Kaulsdorf",5,1,67,10,35,540,15,169,94,75,8,4,152,16,5,205
+2014,"Marzahn-Hellersdorf",100409,"Mahlsdorf",6,3,100,20,51,1204,30,154,119,79,3,1,147,29,5,225
+2014,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",20,17,52,12,21,130,17,41,34,0,5,0,9,0,8,121
+2014,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",1,1,15,0,11,217,4,36,9,16,5,1,43,6,4,44
+2014,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",19,14,294,44,107,654,31,117,91,13,12,2,234,15,56,606
+2014,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",31,22,324,65,78,962,63,106,114,23,9,3,184,27,48,634
+2014,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",10,6,123,26,36,722,25,100,46,55,7,1,108,9,14,245
+2014,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",21,10,261,42,91,1246,60,317,123,70,14,2,280,57,45,665
+2014,"Lichtenberg",110306,"Fennpfuhl",22,11,248,47,93,1244,136,327,176,72,5,3,325,65,36,627
+2014,"Lichtenberg",110307,"Alt-Lichtenberg",40,21,321,81,90,2174,102,435,240,63,11,7,336,80,44,788
+2014,"Lichtenberg",110308,"Frankfurter Allee Süd",15,9,114,24,20,763,35,134,135,17,17,7,124,36,43,239
+2014,"Lichtenberg",110409,"Neu Lichtenberg",21,11,251,52,81,1569,60,237,292,69,14,5,384,105,40,771
+2014,"Lichtenberg",110410,"Friedrichsfelde Nord",19,12,133,38,52,686,53,113,53,36,3,1,131,41,13,321
+2014,"Lichtenberg",110411,"Friedrichsfelde Süd",14,5,141,31,45,742,55,146,132,50,7,6,190,89,17,343
+2014,"Lichtenberg",110512,"Rummelsburger Bucht",2,2,33,10,13,270,10,69,41,15,16,9,41,8,12,91
+2014,"Lichtenberg",110513,"Karlshorst",7,4,104,23,51,854,44,212,242,36,10,4,128,15,5,271
+2014,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",14,13,20,4,12,304,17,118,56,0,3,2,0,0,1,63
+2014,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",32,16,372,95,168,1321,34,214,178,142,25,9,297,39,89,1049
+2014,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",52,26,330,78,134,1520,43,258,168,112,20,7,331,98,143,907
+2014,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",9,4,163,42,95,762,19,143,55,43,10,6,118,6,143,407
+2014,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",41,19,330,74,124,1659,38,258,118,130,19,11,402,61,81,907
+2014,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",24,10,140,30,48,1024,14,73,114,20,5,1,139,29,55,357
+2014,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",3,0,72,17,38,570,29,213,68,123,5,1,156,22,26,186
+2014,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",18,13,107,26,46,1124,59,363,192,242,14,7,170,20,33,286
+2014,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",49,32,358,87,111,1479,23,251,171,123,23,4,294,65,67,778
+2014,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",61,34,551,135,214,1949,47,349,154,67,72,25,418,32,103,1480
+2014,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",16,6,79,12,36,387,8,78,31,25,10,5,109,28,13,206
+2014,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",15,6,105,25,49,548,19,121,38,66,7,0,131,26,30,312
+2014,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",20,15,75,15,52,1032,19,140,67,1,5,1,21,0,46,201
+2015,"Mitte",10111,"Tiergarten Süd",82,59,480,109,108,2763,15,321,247,52,18,11,304,85,137,949
+2015,"Mitte",10112,"Regierungsviertel",76,34,433,89,126,5399,15,289,371,48,10,4,304,101,48,810
+2015,"Mitte",10113,"Alexanderplatz",157,90,1440,408,320,12150,83,820,1082,236,35,12,1171,333,499,2973
+2015,"Mitte",10114,"Brunnenstraße Süd",29,13,204,40,61,2419,61,231,418,108,9,6,346,116,72,862
+2015,"Mitte",10221,"Moabit West",115,54,569,150,186,3017,53,589,338,112,25,10,444,74,165,1212
+2015,"Mitte",10222,"Moabit Ost",85,45,738,192,204,4928,42,433,452,98,18,6,446,81,341,1418
+2015,"Mitte",10331,"Osloer Straße",98,59,788,243,247,3617,35,330,316,167,35,13,478,72,231,1584
+2015,"Mitte",10332,"Brunnenstraße Nord",85,37,562,145,196,2912,66,409,405,113,23,10,480,86,272,1239
+2015,"Mitte",10441,"Parkviertel",83,45,677,177,214,3582,55,537,343,126,31,16,491,88,198,1493
+2015,"Mitte",10442,"Wedding Zentrum",148,90,1027,308,354,3857,48,505,436,203,34,14,643,127,581,2107
+2015,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",82,63,189,62,62,1969,36,382,186,2,15,8,149,47,94,431
+2015,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",125,61,659,187,221,4574,59,861,439,152,31,10,650,99,415,1581
+2015,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",113,50,812,200,204,6665,140,735,1209,240,37,18,783,170,360,1861
+2015,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",143,72,633,224,109,3683,36,276,376,86,31,10,464,126,540,1178
+2015,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",167,106,469,189,141,3384,50,304,411,85,26,12,442,158,1949,1092
+2015,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",34,18,149,45,47,1449,49,197,233,76,10,3,215,55,36,674
+2015,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",126,82,518,145,104,3492,28,237,301,44,14,7,463,141,438,1104
+2015,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",28,15,320,95,78,2113,53,134,396,60,39,18,554,135,71,1069
+2015,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",196,100,999,360,160,5581,65,383,692,121,35,13,1023,378,1468,2287
+2015,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",95,77,149,55,42,1904,33,198,158,2,5,2,129,30,294,377
+2015,"Pankow",30101,"Buch",9,5,175,47,76,876,39,184,146,24,22,4,251,36,30,423
+2015,"Pankow",30202,"Blankenfelde/Niederschönhausen",7,1,113,21,56,729,20,198,117,67,14,4,145,39,18,288
+2015,"Pankow",30203,"Buchholz",2,0,61,12,23,384,18,44,36,34,7,4,92,32,5,134
+2015,"Pankow",30304,"Karow",7,4,59,13,36,428,17,112,92,38,5,1,92,16,4,142
+2015,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",8,1,96,25,38,783,15,125,127,62,5,3,94,9,6,188
+2015,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",6,1,56,7,31,566,21,156,74,67,9,4,108,20,8,173
+2015,"Pankow",30406,"Pankow Zentrum",38,22,229,50,90,2272,52,196,634,89,13,5,395,113,41,785
+2015,"Pankow",30408,"Pankow Süd",34,20,158,32,71,1480,52,222,336,73,11,7,260,68,37,824
+2015,"Pankow",30509,"Weißensee",21,7,336,73,135,2404,87,307,354,97,17,2,466,95,45,1181
+2015,"Pankow",30510,"Weißensee Ost",6,2,135,25,45,713,25,136,84,46,9,3,167,45,33,361
+2015,"Pankow",30611,"Prenzlauer Berg Nordwest",39,20,188,53,47,2277,38,209,413,58,21,10,309,114,68,1133
+2015,"Pankow",30612,"Prenzlauer Berg Nord",24,8,191,40,54,2619,86,207,541,56,9,4,246,79,30,1200
+2015,"Pankow",30613,"Helmholtzplatz",7,4,133,36,40,2114,32,98,323,69,5,3,280,96,20,1209
+2015,"Pankow",30614,"Prenzlauer Berg Ost",31,16,228,48,72,2826,57,429,392,76,17,9,517,250,43,778
+2015,"Pankow",30715,"Prenzlauer Berg Südwest",17,9,285,80,51,2519,59,217,388,116,10,4,396,136,46,1200
+2015,"Pankow",30716,"Prenzlauer Berg Süd",13,8,144,34,52,2374,79,327,351,96,14,10,334,104,16,1246
+2015,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",34,23,80,23,35,636,56,189,160,0,8,4,91,27,60,205
+2015,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",24,11,235,39,116,1193,53,335,68,72,13,4,223,10,160,674
+2015,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",12,7,150,39,39,861,38,249,76,110,7,1,146,39,33,311
+2015,"Charlottenburg-Wilmersdorf",40203,"Westend",23,11,228,52,119,2938,80,345,178,141,21,6,296,27,14,736
+2015,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",27,13,234,59,106,1241,26,143,260,66,11,4,209,17,33,612
+2015,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",20,10,155,46,57,947,28,211,123,47,12,7,142,16,30,380
+2015,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",43,25,397,95,123,2552,28,261,404,95,15,6,383,42,75,1081
+2015,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",33,21,227,51,67,1824,58,274,335,122,4,3,210,33,111,667
+2015,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",67,27,276,69,98,3361,20,201,325,94,5,3,226,15,119,772
+2015,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",107,51,911,252,168,5657,51,353,275,116,12,7,360,79,117,1602
+2015,"Charlottenburg-Wilmersdorf",40310,"Halensee",17,10,124,29,53,1368,35,199,144,83,3,1,153,34,15,497
+2015,"Charlottenburg-Wilmersdorf",40411,"Grunewald",10,6,123,23,67,976,48,312,79,185,8,4,121,7,11,419
+2015,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",9,6,66,10,25,716,49,193,102,76,2,2,88,7,7,201
+2015,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",5,1,79,5,33,701,24,133,200,38,4,2,104,22,7,310
+2015,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",39,18,210,38,102,2338,62,454,383,139,16,6,334,109,50,826
+2015,"Charlottenburg-Wilmersdorf",40515,"Barstraße",19,11,113,19,45,980,30,199,227,66,2,0,102,17,24,389
+2015,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",41,28,225,35,79,2180,59,359,511,117,5,3,250,61,42,739
+2015,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",0,0,19,5,6,32,1,13,1,0,4,3,9,1,0,30
+2015,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",40,32,33,14,52,757,51,265,133,0,1,2,45,12,37,161
+2015,"Spandau",50101,"Hakenfelde",16,10,192,27,89,830,30,153,71,45,13,7,184,15,15,557
+2015,"Spandau",50102,"Falkenhagener Feld",31,17,405,86,180,1290,39,178,142,93,28,9,332,23,36,1131
+2015,"Spandau",50103,"Spandau Mitte",101,55,624,158,252,2665,64,303,194,87,25,11,526,97,175,1593
+2015,"Spandau",50204,"Brunsbütteler Damm",15,5,159,28,76,826,37,128,67,65,15,5,180,11,10,434
+2015,"Spandau",50205,"Heerstraße Nord",22,14,334,81,128,1066,30,187,56,75,21,12,295,86,23,805
+2015,"Spandau",50206,"Wilhelmstadt",31,15,462,91,162,2260,39,291,187,77,16,6,349,39,146,925
+2015,"Spandau",50307,"Haselhorst",21,7,157,29,67,1007,57,143,73,38,10,5,115,13,20,483
+2015,"Spandau",50308,"Siemensstadt",15,6,130,29,50,993,35,131,78,40,13,5,117,22,14,367
+2015,"Spandau",50409,"Gatow/Kladow",4,1,105,28,39,489,14,139,35,65,11,4,104,10,2,203
+2015,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",13,12,54,20,31,406,24,102,21,1,1,0,48,3,52,133
+2015,"Steglitz-Zehlendorf",60101,"Schloßstr.",25,13,200,40,63,2496,26,212,350,64,6,2,217,55,33,461
+2015,"Steglitz-Zehlendorf",60102,"Albrechtstr.",32,21,231,47,125,1406,95,300,229,133,8,7,361,61,46,788
+2015,"Steglitz-Zehlendorf",60203,"Lankwitz",19,11,264,53,110,960,43,207,109,104,7,0,297,51,78,611
+2015,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",16,7,185,44,80,1184,40,231,205,165,18,7,220,28,36,487
+2015,"Steglitz-Zehlendorf",60305,"Teltower Damm",16,10,150,30,73,1438,50,247,438,132,11,6,252,67,42,413
+2015,"Steglitz-Zehlendorf",60306,"Drakestr.",18,10,200,28,97,1895,91,410,258,199,11,3,252,42,41,554
+2015,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",15,7,136,29,62,1190,46,223,195,137,6,1,310,104,17,343
+2015,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",25,13,193,41,94,2489,89,574,453,345,15,6,445,153,37,722
+2015,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",14,6,37,3,36,379,15,77,115,2,4,2,42,8,26,99
+2015,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",160,101,816,224,231,5114,67,507,637,227,26,11,636,128,263,2059
+2015,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",58,27,530,126,157,3462,55,410,755,157,9,5,508,90,180,1349
+2015,"Tempelhof-Schöneberg",70303,"Friedenau",36,22,230,32,114,2592,75,367,545,99,9,5,337,107,43,687
+2015,"Tempelhof-Schöneberg",70404,"Tempelhof",53,23,671,145,280,3870,128,706,412,126,56,11,811,147,213,1633
+2015,"Tempelhof-Schöneberg",70505,"Mariendorf",39,22,295,71,100,2121,84,428,173,118,22,11,374,40,69,770
+2015,"Tempelhof-Schöneberg",70606,"Marienfelde",17,9,220,45,94,1126,29,186,117,90,18,5,245,22,42,534
+2015,"Tempelhof-Schöneberg",70707,"Lichtenrade",30,18,285,45,156,1227,120,223,145,227,28,9,336,38,60,697
+2015,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",32,25,72,21,54,865,19,140,133,0,1,1,83,20,30,204
+2015,"Neukölln",80101,"Schillerpromenade",91,52,450,134,142,2232,30,349,252,101,25,10,499,121,806,1136
+2015,"Neukölln",80102,"Neuköllner Mitte/Zentrum",91,41,767,242,218,4733,56,413,341,157,30,11,653,96,205,1743
+2015,"Neukölln",80103,"Reuterstraße",107,51,468,132,150,3350,32,270,540,159,28,13,508,124,194,1303
+2015,"Neukölln",80104,"Rixdorf",77,45,480,140,182,2558,51,344,453,199,27,13,518,79,183,1477
+2015,"Neukölln",80105,"Köllnische Heide",32,17,244,57,97,1214,49,317,58,42,19,10,410,51,55,630
+2015,"Neukölln",80206,"Britz",54,27,429,107,176,2333,71,544,232,138,28,16,391,58,116,1051
+2015,"Neukölln",80207,"Buckow",11,5,173,36,85,746,55,215,62,108,15,10,172,25,15,441
+2015,"Neukölln",80308,"Gropiusstadt",45,33,369,91,136,1980,59,213,187,59,40,9,600,44,32,1102
+2015,"Neukölln",80409,"Buckow Nord",11,5,94,15,32,431,15,78,36,37,6,5,49,1,11,196
+2015,"Neukölln",80410,"Rudow",28,20,219,44,112,1331,99,351,165,182,29,11,312,42,36,604
+2015,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",35,30,69,20,37,782,24,132,57,0,6,0,49,6,30,171
+2015,"Treptow-Köpenick",90101,"Alt-Treptow",54,36,143,48,51,1214,30,87,286,39,5,4,178,53,146,450
+2015,"Treptow-Köpenick",90102,"Plänterwald",6,3,60,6,40,669,52,135,60,24,5,1,123,26,7,280
+2015,"Treptow-Köpenick",90103,"Baumschulenweg",14,5,119,20,46,868,42,155,110,74,7,2,149,29,25,343
+2015,"Treptow-Köpenick",90104,"Johannisthal",11,4,96,18,43,596,29,99,73,61,11,7,102,15,19,252
+2015,"Treptow-Köpenick",90205,"Oberschöneweide",16,6,273,81,91,981,46,168,113,39,17,4,270,46,49,606
+2015,"Treptow-Köpenick",90206,"Niederschöneweide",10,5,117,23,40,935,17,66,126,20,12,6,201,103,40,257
+2015,"Treptow-Köpenick",90207,"Adlershof",22,8,124,24,47,1090,28,128,172,24,12,6,170,36,25,288
+2015,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",3,2,100,23,31,317,17,36,74,10,4,3,99,23,20,233
+2015,"Treptow-Köpenick",90309,"Altglienicke",7,4,111,28,53,684,55,128,88,102,7,2,118,10,17,326
+2015,"Treptow-Köpenick",90310,"Bohnsdorf",9,2,39,12,31,431,16,89,38,89,4,1,70,4,20,115
+2015,"Treptow-Köpenick",90311,"Grünau",2,2,25,10,16,280,10,46,72,22,3,2,57,5,2,114
+2015,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",0,0,21,5,6,128,4,25,9,38,2,2,30,2,1,46
+2015,"Treptow-Köpenick",90413,"Köpenick-Süd",2,2,93,19,37,379,28,89,77,14,20,5,106,2,14,213
+2015,"Treptow-Köpenick",90414,"Allende-Viertel",3,1,49,7,13,237,13,19,46,4,0,0,33,2,6,87
+2015,"Treptow-Köpenick",90415,"Altstadt-Kietz",0,0,99,21,33,233,5,37,57,5,10,7,84,7,13,190
+2015,"Treptow-Köpenick",90416,"Müggelheim",0,0,30,4,17,101,1,28,7,13,2,2,32,1,2,64
+2015,"Treptow-Köpenick",90517,"Friedrichshagen",7,2,55,12,29,689,26,109,253,22,7,4,132,30,4,192
+2015,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",1,0,43,12,16,311,7,66,93,52,9,4,70,12,5,80
+2015,"Treptow-Köpenick",90519,"Dammvorstadt",16,9,185,48,40,773,6,51,127,15,5,3,156,29,80,388
+2015,"Treptow-Köpenick",90520,"Köpenick-Nord",3,0,43,8,29,347,13,60,97,41,4,1,108,14,2,172
+2015,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",11,7,35,5,21,443,15,139,101,1,9,4,72,13,20,102
+2015,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",26,16,335,56,107,569,40,113,79,21,24,8,231,33,39,623
+2015,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",51,27,668,131,178,1851,135,448,127,62,39,9,491,51,69,1249
+2015,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",39,18,345,66,91,1739,127,384,87,111,25,6,379,62,44,734
+2015,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",33,16,607,106,200,1589,73,262,122,47,28,4,538,108,81,1254
+2015,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",14,8,243,44,83,583,32,129,79,14,12,3,270,53,45,515
+2015,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",23,15,246,36,79,625,41,124,70,32,32,3,206,51,33,506
+2015,"Marzahn-Hellersdorf",100307,"Biesdorf",11,6,137,28,60,1288,46,221,180,169,10,2,202,49,25,308
+2015,"Marzahn-Hellersdorf",100408,"Kaulsdorf",3,1,96,19,22,534,28,95,98,102,3,3,105,18,16,168
+2015,"Marzahn-Hellersdorf",100409,"Mahlsdorf",4,2,77,13,32,639,44,111,129,125,8,4,122,20,9,182
+2015,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",18,12,87,35,23,207,18,54,24,1,5,2,111,20,6,181
+2015,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",4,2,29,4,9,145,3,17,17,11,2,1,27,3,3,55
+2015,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",13,8,310,54,67,710,81,133,88,17,20,7,208,28,42,609
+2015,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",18,5,282,61,64,916,64,114,90,38,15,4,175,15,35,558
+2015,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",16,6,138,37,37,924,16,104,67,107,5,2,143,7,16,332
+2015,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",19,7,234,43,58,1493,123,324,191,102,11,4,235,39,20,679
+2015,"Lichtenberg",110306,"Fennpfuhl",24,14,179,35,65,1414,103,326,223,90,12,5,323,78,36,578
+2015,"Lichtenberg",110307,"Alt-Lichtenberg",39,21,365,97,106,2157,72,326,267,96,25,13,383,114,38,846
+2015,"Lichtenberg",110308,"Frankfurter Allee Süd",17,7,89,16,17,690,26,114,123,28,11,5,106,19,73,240
+2015,"Lichtenberg",110409,"Neu Lichtenberg",25,16,263,51,63,1669,62,201,303,63,14,6,371,106,50,683
+2015,"Lichtenberg",110410,"Friedrichsfelde Nord",8,3,132,29,26,561,51,107,43,52,7,1,114,26,13,284
+2015,"Lichtenberg",110411,"Friedrichsfelde Süd",8,6,134,28,51,722,43,105,109,50,10,4,210,51,12,341
+2015,"Lichtenberg",110512,"Rummelsburger Bucht",3,3,37,15,8,212,10,26,37,16,1,0,42,8,13,89
+2015,"Lichtenberg",110513,"Karlshorst",6,2,110,21,44,856,49,144,226,60,15,6,148,25,22,278
+2015,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",12,10,32,11,30,316,32,92,70,0,0,0,48,19,14,97
+2015,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",39,17,428,99,148,1150,39,201,124,74,17,7,276,28,89,923
+2015,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",42,24,304,68,119,1575,42,346,160,68,20,6,311,61,132,805
+2015,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",9,3,195,41,103,793,26,156,33,47,8,3,120,13,206,426
+2015,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",32,15,376,89,136,1667,37,224,120,58,9,4,300,48,64,966
+2015,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",17,9,183,51,44,1057,3,56,117,27,5,2,158,47,56,419
+2015,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",5,1,88,18,40,545,25,151,80,112,5,2,163,36,23,195
+2015,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",27,14,115,21,55,1016,36,325,183,191,5,3,190,27,30,306
+2015,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",42,25,342,73,137,1579,42,284,153,122,18,8,258,61,75,702
+2015,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",65,33,508,134,202,2052,72,365,122,42,35,9,308,19,96,1448
+2015,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",22,7,112,21,55,415,15,81,25,29,3,3,256,191,16,225
+2015,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",12,4,127,28,58,592,14,119,46,52,2,1,121,11,24,313
+2015,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",13,11,113,10,55,1394,21,144,69,1,4,2,72,8,58,231
+2016,"Mitte",10111,"Tiergarten Süd",65,54,462,108,125,2519,15,286,231,64,12,2,239,31,139,883
+2016,"Mitte",10112,"Regierungsviertel",94,66,483,86,124,5797,15,242,310,54,10,3,350,111,70,904
+2016,"Mitte",10113,"Alexanderplatz",165,102,1338,368,313,12479,80,779,1266,222,47,20,1065,328,534,2825
+2016,"Mitte",10114,"Brunnenstraße Süd",34,23,251,52,79,2631,65,239,541,91,19,7,399,171,67,831
+2016,"Mitte",10221,"Moabit West",103,57,717,222,189,3146,51,511,468,138,45,18,576,71,642,1617
+2016,"Mitte",10222,"Moabit Ost",79,42,770,185,217,3372,38,484,514,147,44,12,480,69,444,1668
+2016,"Mitte",10331,"Osloer Straße",85,49,754,184,216,3922,46,463,337,187,34,12,481,74,249,1547
+2016,"Mitte",10332,"Brunnenstraße Nord",81,42,601,179,184,3139,72,445,346,141,35,8,532,131,236,1299
+2016,"Mitte",10441,"Parkviertel",64,32,686,172,222,3774,63,557,367,120,20,11,597,105,205,1711
+2016,"Mitte",10442,"Wedding Zentrum",115,67,1033,285,295,4270,57,627,442,190,35,14,690,145,651,2121
+2016,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",91,77,310,95,83,3736,31,340,216,0,8,5,167,32,113,609
+2016,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",192,114,689,230,199,4851,67,776,587,136,44,11,671,114,749,1646
+2016,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",114,60,792,231,237,6237,130,708,1155,204,55,31,901,187,284,1947
+2016,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",125,78,559,234,104,3295,24,274,359,63,25,7,528,162,608,1024
+2016,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",137,90,435,158,90,2537,30,248,360,61,29,9,532,190,1078,935
+2016,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",31,15,223,51,58,1568,67,213,265,78,17,10,298,71,28,821
+2016,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",108,72,524,161,95,3281,47,236,411,61,15,4,454,123,421,1333
+2016,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",30,12,308,84,97,2150,34,195,508,63,54,15,618,128,143,1054
+2016,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",129,69,899,249,158,4589,56,309,810,108,50,23,1164,416,956,2271
+2016,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",81,64,130,55,46,1476,20,197,191,1,5,4,128,24,164,337
+2016,"Pankow",30101,"Buch",11,5,179,42,77,948,26,144,107,51,28,13,191,19,26,397
+2016,"Pankow",30202,"Blankenfelde/Niederschönhausen",7,0,151,27,61,784,25,139,132,91,15,9,174,35,27,373
+2016,"Pankow",30203,"Buchholz",1,0,43,5,41,460,28,96,38,53,3,1,100,32,9,141
+2016,"Pankow",30304,"Karow",5,2,71,12,23,379,9,74,88,72,14,5,82,15,12,140
+2016,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",4,3,64,17,35,813,19,111,101,76,14,5,94,12,6,160
+2016,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",8,3,72,14,25,519,16,110,75,64,7,5,94,20,8,186
+2016,"Pankow",30406,"Pankow Zentrum",23,14,240,43,96,2104,49,210,522,106,15,7,309,111,36,715
+2016,"Pankow",30408,"Pankow Süd",20,12,176,32,68,1384,42,239,386,60,15,5,323,78,39,672
+2016,"Pankow",30509,"Weißensee",32,22,330,72,123,1954,63,184,313,72,32,13,428,112,57,947
+2016,"Pankow",30510,"Weißensee Ost",9,1,119,18,46,667,31,122,76,37,15,7,181,50,33,358
+2016,"Pankow",30611,"Prenzlauer Berg Nordwest",33,19,229,59,82,2404,65,204,488,87,11,3,333,107,83,1138
+2016,"Pankow",30612,"Prenzlauer Berg Nord",26,10,158,37,63,2142,55,204,557,71,16,8,332,86,35,763
+2016,"Pankow",30613,"Helmholtzplatz",21,7,155,31,57,1546,28,96,352,71,10,3,262,86,45,723
+2016,"Pankow",30614,"Prenzlauer Berg Ost",37,21,293,71,78,2608,65,359,447,110,22,4,562,259,61,732
+2016,"Pankow",30715,"Prenzlauer Berg Südwest",25,9,327,93,89,2569,66,233,535,114,15,5,372,158,28,993
+2016,"Pankow",30716,"Prenzlauer Berg Süd",19,8,157,33,44,1730,85,271,442,97,13,4,372,117,39,739
+2016,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",35,27,70,22,27,813,48,187,176,0,8,2,87,13,51,194
+2016,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",37,17,312,71,134,1352,61,382,66,51,20,12,274,26,197,772
+2016,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",9,5,146,39,32,616,26,125,68,79,6,3,136,42,23,285
+2016,"Charlottenburg-Wilmersdorf",40203,"Westend",26,11,318,64,128,2938,77,393,172,69,13,6,268,35,36,755
+2016,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",17,6,229,32,81,1294,44,190,228,59,14,9,196,17,46,556
+2016,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",26,11,136,25,77,866,23,153,84,28,8,4,194,49,38,366
+2016,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",48,29,430,91,131,2747,37,367,409,90,25,10,426,103,58,957
+2016,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",42,23,231,62,91,1586,69,301,278,61,10,6,191,21,56,625
+2016,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",46,25,312,67,84,3036,24,178,353,88,7,4,234,27,147,710
+2016,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",110,61,687,177,163,4770,38,317,275,72,11,5,368,68,99,1261
+2016,"Charlottenburg-Wilmersdorf",40310,"Halensee",15,7,112,28,60,1122,34,217,112,52,3,1,105,9,21,385
+2016,"Charlottenburg-Wilmersdorf",40411,"Grunewald",9,7,95,13,57,882,55,248,94,159,8,3,128,20,18,351
+2016,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",7,2,84,15,34,657,32,193,63,62,7,1,78,6,8,209
+2016,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",9,7,78,14,30,727,36,143,225,38,6,2,109,26,10,225
+2016,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",36,22,225,43,106,2084,66,413,315,101,9,5,338,147,59,710
+2016,"Charlottenburg-Wilmersdorf",40515,"Barstraße",9,5,136,28,47,805,26,142,195,29,8,1,97,16,27,295
+2016,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",43,24,263,60,88,2153,54,313,418,57,10,4,229,43,71,666
+2016,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",0,0,13,4,4,80,0,14,3,0,4,4,10,2,2,19
+2016,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",34,30,112,32,71,1178,53,256,88,0,6,3,116,11,32,294
+2016,"Spandau",50101,"Hakenfelde",14,8,204,46,64,953,28,187,84,55,20,10,173,11,21,456
+2016,"Spandau",50102,"Falkenhagener Feld",28,12,432,86,173,1284,42,233,147,106,29,10,322,36,38,977
+2016,"Spandau",50103,"Spandau Mitte",78,53,697,179,236,2606,39,279,271,75,16,5,451,57,179,1374
+2016,"Spandau",50204,"Brunsbütteler Damm",13,6,158,33,52,807,34,135,60,81,14,4,201,25,20,390
+2016,"Spandau",50205,"Heerstraße Nord",26,13,417,93,137,1103,20,155,64,115,32,14,351,96,40,908
+2016,"Spandau",50206,"Wilhelmstadt",50,22,548,131,188,2642,41,295,240,130,18,6,410,33,67,1206
+2016,"Spandau",50307,"Haselhorst",21,9,174,34,63,900,37,154,68,29,18,8,123,16,30,377
+2016,"Spandau",50308,"Siemensstadt",11,8,128,27,56,824,22,115,66,19,7,3,162,22,21,341
+2016,"Spandau",50409,"Gatow/Kladow",4,4,98,21,47,472,28,65,49,94,8,3,80,3,8,198
+2016,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",20,20,53,20,36,391,16,103,22,1,4,4,51,5,22,143
+2016,"Steglitz-Zehlendorf",60101,"Schloßstr.",36,20,188,44,60,2621,37,207,384,66,8,5,197,35,26,492
+2016,"Steglitz-Zehlendorf",60102,"Albrechtstr.",23,9,264,43,129,1618,103,362,266,127,31,21,344,45,62,771
+2016,"Steglitz-Zehlendorf",60203,"Lankwitz",23,12,250,54,110,1249,88,228,111,95,29,9,337,39,79,607
+2016,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",11,5,246,47,79,1179,67,242,240,105,14,8,303,41,36,566
+2016,"Steglitz-Zehlendorf",60305,"Teltower Damm",13,10,192,29,83,1414,48,196,489,150,9,2,303,46,35,481
+2016,"Steglitz-Zehlendorf",60306,"Drakestr.",14,8,239,49,97,1944,92,413,304,204,8,3,286,56,41,584
+2016,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",11,3,147,30,78,1030,43,228,158,115,15,6,198,28,28,367
+2016,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",20,14,182,45,84,2408,107,647,463,298,15,4,504,201,42,546
+2016,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",11,7,34,6,27,509,16,87,128,2,13,8,69,7,12,114
+2016,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",158,101,771,198,236,4929,71,460,649,157,29,12,685,97,293,1964
+2016,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",43,28,535,105,166,3348,79,360,769,127,27,14,484,84,178,1300
+2016,"Tempelhof-Schöneberg",70303,"Friedenau",37,25,234,43,106,2899,83,437,511,79,24,14,405,109,50,760
+2016,"Tempelhof-Schöneberg",70404,"Tempelhof",68,32,716,156,265,4156,197,761,456,116,48,9,740,178,236,1674
+2016,"Tempelhof-Schöneberg",70505,"Mariendorf",33,17,361,74,147,1922,109,411,166,212,39,21,470,80,90,933
+2016,"Tempelhof-Schöneberg",70606,"Marienfelde",20,11,257,44,75,1073,55,179,159,49,22,6,217,16,54,504
+2016,"Tempelhof-Schöneberg",70707,"Lichtenrade",22,11,345,61,100,1433,114,340,175,246,24,9,317,35,103,700
+2016,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",34,30,67,15,50,826,37,124,147,0,13,5,96,19,37,205
+2016,"Neukölln",80101,"Schillerpromenade",67,38,563,189,151,2423,29,264,262,102,29,15,451,105,333,1424
+2016,"Neukölln",80102,"Neuköllner Mitte/Zentrum",114,56,755,241,198,4823,56,387,377,124,33,14,637,88,174,1796
+2016,"Neukölln",80103,"Reuterstraße",76,43,500,160,164,3379,29,261,486,109,22,12,527,190,154,1346
+2016,"Neukölln",80104,"Rixdorf",68,38,483,150,157,2506,56,338,408,132,33,19,495,70,141,1443
+2016,"Neukölln",80105,"Köllnische Heide",17,8,239,59,101,1368,54,277,48,72,17,9,299,22,70,786
+2016,"Neukölln",80206,"Britz",55,31,471,115,191,2431,112,566,166,218,47,24,482,64,71,1285
+2016,"Neukölln",80207,"Buckow",12,9,180,51,76,653,50,193,39,98,13,5,198,20,20,423
+2016,"Neukölln",80308,"Gropiusstadt",47,32,338,96,148,1902,54,236,152,84,18,5,532,48,53,1061
+2016,"Neukölln",80409,"Buckow Nord",5,0,100,20,42,547,26,117,48,36,5,3,71,5,12,234
+2016,"Neukölln",80410,"Rudow",24,14,313,74,120,1461,142,324,143,253,14,6,313,23,37,666
+2016,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",28,21,84,35,63,818,25,155,46,0,8,4,55,6,42,198
+2016,"Treptow-Köpenick",90101,"Alt-Treptow",35,21,149,36,41,1197,22,111,319,38,18,10,180,45,71,378
+2016,"Treptow-Köpenick",90102,"Plänterwald",6,4,72,18,18,660,60,119,108,41,4,2,106,28,9,227
+2016,"Treptow-Köpenick",90103,"Baumschulenweg",13,7,120,35,57,903,54,139,172,83,7,5,142,38,13,359
+2016,"Treptow-Köpenick",90104,"Johannisthal",7,4,108,20,46,757,43,127,163,81,3,2,112,12,14,309
+2016,"Treptow-Köpenick",90205,"Oberschöneweide",11,8,268,71,76,1107,66,146,233,41,20,12,288,64,45,617
+2016,"Treptow-Köpenick",90206,"Niederschöneweide",13,8,147,24,39,1010,38,83,174,13,5,2,127,31,32,292
+2016,"Treptow-Köpenick",90207,"Adlershof",11,4,166,32,49,1251,68,125,306,32,11,4,198,46,18,376
+2016,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",4,2,111,16,30,385,30,58,81,15,4,1,109,19,12,247
+2016,"Treptow-Köpenick",90309,"Altglienicke",3,2,160,24,66,821,85,246,79,107,13,9,166,26,16,360
+2016,"Treptow-Köpenick",90310,"Bohnsdorf",3,0,101,25,39,488,28,81,57,52,3,2,66,13,15,187
+2016,"Treptow-Köpenick",90311,"Grünau",1,1,30,10,22,309,8,53,72,22,3,2,45,7,10,119
+2016,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",0,0,19,2,4,115,6,17,7,24,1,1,13,1,1,29
+2016,"Treptow-Köpenick",90413,"Köpenick-Süd",2,1,104,17,22,385,34,81,89,13,16,8,88,15,5,187
+2016,"Treptow-Köpenick",90414,"Allende-Viertel",1,1,29,9,14,215,18,17,24,9,3,2,46,3,4,68
+2016,"Treptow-Köpenick",90415,"Altstadt-Kietz",2,2,117,25,38,246,9,26,79,8,1,1,105,22,14,239
+2016,"Treptow-Köpenick",90416,"Müggelheim",0,0,16,3,16,98,12,20,14,8,5,4,47,11,1,57
+2016,"Treptow-Köpenick",90517,"Friedrichshagen",6,3,117,20,38,647,31,67,254,17,6,3,161,39,19,236
+2016,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",5,1,38,6,15,327,11,53,142,32,8,2,57,8,3,81
+2016,"Treptow-Köpenick",90519,"Dammvorstadt",8,5,128,33,36,724,11,32,161,14,7,2,162,54,41,307
+2016,"Treptow-Köpenick",90520,"Köpenick-Nord",5,2,54,6,17,327,15,47,114,43,13,2,82,13,5,135
+2016,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",10,9,85,19,35,552,27,124,124,0,10,5,88,18,23,169
+2016,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",26,18,361,60,97,668,62,128,82,22,18,7,266,70,34,660
+2016,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",51,27,735,134,176,2113,147,417,160,30,56,12,577,85,78,1483
+2016,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",46,22,355,66,128,1954,167,446,116,109,36,14,427,69,44,872
+2016,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",21,11,656,113,180,1606,66,262,115,42,34,9,634,175,61,1209
+2016,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",26,18,290,58,96,643,39,116,103,18,33,9,296,68,49,607
+2016,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",22,14,233,37,79,789,58,113,79,36,8,5,288,88,34,562
+2016,"Marzahn-Hellersdorf",100307,"Biesdorf",10,7,150,30,42,1208,38,172,183,167,9,3,169,31,31,325
+2016,"Marzahn-Hellersdorf",100408,"Kaulsdorf",7,2,99,14,38,520,24,80,98,93,6,2,102,8,3,194
+2016,"Marzahn-Hellersdorf",100409,"Mahlsdorf",7,5,78,9,42,634,33,104,127,120,2,1,97,16,10,172
+2016,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",19,16,48,17,20,229,15,54,25,1,8,2,60,20,13,104
+2016,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",0,0,38,13,16,175,5,15,13,17,2,2,31,10,2,68
+2016,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",26,16,271,43,72,678,64,141,89,27,17,5,201,31,55,574
+2016,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",19,11,327,63,79,965,60,152,88,19,18,4,233,27,42,646
+2016,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",7,2,171,29,50,912,31,121,61,67,7,3,131,12,26,347
+2016,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",26,21,203,40,59,1481,119,445,168,86,14,4,265,46,26,558
+2016,"Lichtenberg",110306,"Fennpfuhl",26,17,269,51,103,1591,140,450,245,95,28,5,359,69,22,691
+2016,"Lichtenberg",110307,"Alt-Lichtenberg",48,25,494,117,128,2763,92,355,326,95,28,15,399,96,56,1039
+2016,"Lichtenberg",110308,"Frankfurter Allee Süd",15,9,97,29,36,768,56,138,162,15,10,10,106,21,83,227
+2016,"Lichtenberg",110409,"Neu Lichtenberg",27,13,274,53,92,1693,49,179,403,65,14,7,400,124,47,740
+2016,"Lichtenberg",110410,"Friedrichsfelde Nord",7,5,137,21,42,571,41,132,82,21,6,1,149,28,24,280
+2016,"Lichtenberg",110411,"Friedrichsfelde Süd",13,9,185,41,68,867,68,179,114,51,13,6,191,47,14,437
+2016,"Lichtenberg",110512,"Rummelsburger Bucht",1,1,27,7,8,294,9,34,83,20,8,6,22,8,6,88
+2016,"Lichtenberg",110513,"Karlshorst",10,7,120,27,56,963,41,152,297,81,7,5,151,27,23,350
+2016,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",12,11,51,13,20,405,32,106,62,1,5,2,77,10,3,136
+2016,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",40,17,391,100,158,1348,42,278,149,95,31,17,330,30,96,1062
+2016,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",45,25,295,65,140,1568,44,293,147,88,15,6,303,58,160,804
+2016,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",9,2,257,65,92,1006,29,224,63,38,7,3,163,14,232,521
+2016,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",30,15,320,85,136,1610,36,262,93,51,19,9,306,75,79,784
+2016,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",25,14,207,45,61,1090,9,56,109,31,3,1,183,31,29,471
+2016,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",7,3,87,16,48,436,37,55,65,79,7,3,131,28,36,211
+2016,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",17,8,108,28,44,1028,37,176,252,276,15,4,199,35,56,282
+2016,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",42,21,370,92,139,1699,47,213,144,152,22,7,304,75,93,813
+2016,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",59,37,485,133,185,1771,56,342,109,69,43,13,389,72,105,1181
+2016,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",13,7,83,24,52,421,14,69,17,35,7,1,245,151,31,231
+2016,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",10,3,132,21,69,671,36,98,72,44,7,1,129,14,33,340
+2016,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",14,10,116,29,49,1193,17,208,77,1,1,0,65,11,21,230
+2017,"Mitte",10111,"Tiergarten Süd",62,39,521,145,127,2603,30,325,347,50,9,2,260,42,179,1143
+2017,"Mitte",10112,"Regierungsviertel",40,17,456,87,159,4592,16,222,309,75,5,0,362,112,87,931
+2017,"Mitte",10113,"Alexanderplatz",143,90,1763,478,317,10596,87,705,929,148,45,16,1162,351,804,3227
+2017,"Mitte",10114,"Brunnenstraße Süd",38,18,256,62,64,2277,35,290,462,77,17,11,449,195,81,886
+2017,"Mitte",10221,"Moabit West",66,40,690,177,215,2602,35,400,428,102,25,10,546,81,792,1436
+2017,"Mitte",10222,"Moabit Ost",50,33,698,161,218,4458,28,391,446,82,29,10,478,76,462,1368
+2017,"Mitte",10331,"Osloer Straße",55,36,736,174,252,2740,41,371,244,86,36,15,441,71,227,1391
+2017,"Mitte",10332,"Brunnenstraße Nord",58,29,659,178,234,3069,76,417,346,94,34,13,542,204,197,1337
+2017,"Mitte",10441,"Parkviertel",83,45,755,159,259,2863,52,484,287,129,26,12,506,130,200,1566
+2017,"Mitte",10442,"Wedding Zentrum",99,59,1038,276,291,3550,45,491,405,117,53,23,703,194,655,1992
+2017,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",69,59,284,105,85,2565,40,344,175,0,8,1,176,32,155,623
+2017,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",115,61,692,233,223,3953,49,611,454,82,42,18,640,121,1003,1524
+2017,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",96,50,773,241,243,5745,114,751,1288,110,13,7,754,145,247,1808
+2017,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",78,54,511,183,114,2632,22,232,294,42,22,2,403,121,683,963
+2017,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",96,64,393,162,84,2095,31,225,412,60,24,9,458,179,781,897
+2017,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",21,14,171,47,60,1304,42,240,262,78,10,8,276,91,25,512
+2017,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",65,45,639,220,108,2802,50,239,295,54,10,6,472,143,595,1117
+2017,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",26,12,320,101,76,1894,29,184,377,56,28,11,516,137,126,860
+2017,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",74,47,902,353,186,3733,55,332,597,129,29,6,1017,371,949,2026
+2017,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",37,27,135,49,45,1050,21,167,140,0,1,1,93,16,132,281
+2017,"Pankow",30101,"Buch",16,7,208,52,62,655,19,84,117,24,19,6,211,46,36,423
+2017,"Pankow",30202,"Blankenfelde/Niederschönhausen",5,1,108,25,41,711,20,174,109,49,6,3,157,47,10,282
+2017,"Pankow",30203,"Buchholz",5,2,49,7,28,372,21,75,44,20,4,0,89,16,9,146
+2017,"Pankow",30304,"Karow",4,3,87,18,33,406,13,54,96,73,3,0,75,13,19,173
+2017,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",7,2,118,32,33,655,20,72,110,53,14,8,98,27,11,200
+2017,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",12,7,55,12,27,480,13,120,58,63,2,1,93,15,5,172
+2017,"Pankow",30406,"Pankow Zentrum",35,23,247,61,98,1807,48,204,496,75,21,9,382,123,39,736
+2017,"Pankow",30408,"Pankow Süd",15,5,208,62,82,1273,70,238,342,45,8,0,293,104,28,552
+2017,"Pankow",30509,"Weißensee",30,16,376,96,117,1447,51,200,260,60,17,7,391,97,52,801
+2017,"Pankow",30510,"Weißensee Ost",12,7,149,22,50,593,19,115,106,18,14,5,157,34,37,335
+2017,"Pankow",30611,"Prenzlauer Berg Nordwest",29,11,254,92,65,1873,34,169,417,41,11,7,301,127,118,787
+2017,"Pankow",30612,"Prenzlauer Berg Nord",26,13,161,44,53,1772,57,163,426,58,7,0,279,78,46,690
+2017,"Pankow",30613,"Helmholtzplatz",15,7,188,54,47,1566,10,94,301,42,4,1,309,130,48,910
+2017,"Pankow",30614,"Prenzlauer Berg Ost",33,21,294,69,94,2063,69,357,302,76,31,14,473,224,53,664
+2017,"Pankow",30715,"Prenzlauer Berg Südwest",21,5,352,103,67,1997,39,318,356,80,13,3,368,133,50,791
+2017,"Pankow",30716,"Prenzlauer Berg Süd",17,9,167,39,65,1461,47,284,352,55,18,8,359,167,33,582
+2017,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",21,15,82,16,51,626,32,157,132,0,3,2,91,20,38,222
+2017,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",23,9,331,82,116,1083,80,372,105,40,9,2,261,17,198,756
+2017,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",16,9,127,36,23,626,37,161,72,67,10,5,169,50,41,279
+2017,"Charlottenburg-Wilmersdorf",40203,"Westend",27,19,325,78,123,2465,105,354,174,70,15,8,272,38,36,732
+2017,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",17,8,241,42,93,1179,34,166,236,69,6,3,261,91,37,582
+2017,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",12,8,169,33,68,960,30,191,141,38,2,1,180,32,41,460
+2017,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",30,13,436,105,132,2361,49,283,417,84,25,8,390,94,78,1054
+2017,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",28,12,223,44,81,1885,67,266,260,64,11,6,237,66,69,636
+2017,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",35,17,291,74,84,2591,29,158,286,72,14,4,233,31,58,757
+2017,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",73,32,718,203,156,4225,53,316,185,55,11,5,384,109,131,1252
+2017,"Charlottenburg-Wilmersdorf",40310,"Halensee",13,7,92,22,46,1017,38,185,124,42,4,3,126,32,11,341
+2017,"Charlottenburg-Wilmersdorf",40411,"Grunewald",10,6,109,17,52,788,53,250,79,98,5,1,198,94,18,327
+2017,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",3,1,55,18,25,540,39,131,64,38,4,2,76,10,9,162
+2017,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",7,4,72,7,21,514,20,109,160,39,2,1,112,41,14,196
+2017,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",42,16,235,46,94,1993,99,332,296,96,13,7,338,144,53,726
+2017,"Charlottenburg-Wilmersdorf",40515,"Barstraße",6,3,157,29,69,754,26,143,178,33,5,3,138,34,28,375
+2017,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",31,13,245,55,71,1996,62,289,469,56,17,4,308,88,77,626
+2017,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",1,1,10,2,4,33,0,13,0,1,2,2,4,0,0,16
+2017,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",27,20,131,28,61,940,54,254,106,0,2,0,119,7,43,318
+2017,"Spandau",50101,"Hakenfelde",15,10,190,47,75,782,18,139,102,38,8,5,130,19,35,401
+2017,"Spandau",50102,"Falkenhagener Feld",34,17,424,87,121,1055,37,253,147,83,31,8,280,12,39,865
+2017,"Spandau",50103,"Spandau Mitte",79,46,665,159,224,2378,34,273,298,66,40,20,452,55,189,1308
+2017,"Spandau",50204,"Brunsbütteler Damm",12,4,173,33,63,826,37,149,94,52,10,4,201,31,19,388
+2017,"Spandau",50205,"Heerstraße Nord",26,10,412,108,135,1046,38,152,66,106,15,7,303,91,35,818
+2017,"Spandau",50206,"Wilhelmstadt",42,21,644,176,179,2950,33,233,279,89,17,8,484,72,79,1196
+2017,"Spandau",50307,"Haselhorst",18,8,171,48,58,725,30,142,65,55,5,3,119,25,32,366
+2017,"Spandau",50308,"Siemensstadt",10,9,143,32,42,763,33,149,110,36,10,5,155,44,22,343
+2017,"Spandau",50409,"Gatow/Kladow",10,5,84,26,35,420,24,48,68,77,10,5,97,8,5,170
+2017,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",10,8,54,15,48,358,22,98,43,1,2,2,60,7,21,144
+2017,"Steglitz-Zehlendorf",60101,"Schloßstr.",25,16,181,29,71,2405,35,152,348,36,15,2,209,44,45,434
+2017,"Steglitz-Zehlendorf",60102,"Albrechtstr.",22,8,287,57,110,1309,86,295,276,83,38,15,334,74,66,679
+2017,"Steglitz-Zehlendorf",60203,"Lankwitz",15,7,274,46,121,1014,49,185,122,67,14,4,329,34,70,643
+2017,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",16,7,204,51,97,1018,50,179,185,104,13,6,288,69,42,484
+2017,"Steglitz-Zehlendorf",60305,"Teltower Damm",12,7,173,30,100,1066,40,165,371,92,15,5,258,56,37,447
+2017,"Steglitz-Zehlendorf",60306,"Drakestr.",11,1,156,42,83,1431,78,291,235,107,30,12,298,38,32,502
+2017,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",15,7,138,36,85,1009,35,172,173,83,17,7,316,150,13,370
+2017,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",26,13,208,34,94,1785,94,363,395,196,26,5,484,193,46,553
+2017,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",4,3,53,10,35,404,9,90,92,0,19,15,66,9,22,127
+2017,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",131,78,757,202,211,5144,71,376,723,159,34,19,569,82,390,2075
+2017,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",54,30,563,140,181,3309,67,399,626,82,22,10,550,130,185,1199
+2017,"Tempelhof-Schöneberg",70303,"Friedenau",26,13,269,57,98,2386,74,281,493,88,19,12,407,99,55,715
+2017,"Tempelhof-Schöneberg",70404,"Tempelhof",57,24,668,125,269,3766,107,876,435,106,60,15,696,186,241,1442
+2017,"Tempelhof-Schöneberg",70505,"Mariendorf",40,17,382,84,151,1637,81,460,166,108,29,9,369,48,82,871
+2017,"Tempelhof-Schöneberg",70606,"Marienfelde",17,4,245,45,96,973,49,225,109,49,18,8,263,36,49,553
+2017,"Tempelhof-Schöneberg",70707,"Lichtenrade",18,8,265,51,98,1133,82,248,106,127,26,9,288,50,60,557
+2017,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",12,10,48,16,35,661,31,147,87,0,8,1,57,5,33,130
+2017,"Neukölln",80101,"Schillerpromenade",68,42,424,138,124,2464,39,361,327,94,39,15,538,162,354,1238
+2017,"Neukölln",80102,"Neuköllner Mitte/Zentrum",86,37,779,232,215,4598,79,559,357,108,45,21,667,82,225,1862
+2017,"Neukölln",80103,"Reuterstraße",47,21,582,217,164,3005,44,292,437,78,25,9,532,143,182,1406
+2017,"Neukölln",80104,"Rixdorf",64,32,520,154,155,2323,41,288,375,121,21,6,508,109,284,1452
+2017,"Neukölln",80105,"Köllnische Heide",26,12,190,53,67,1151,44,257,51,38,19,9,218,20,55,548
+2017,"Neukölln",80206,"Britz",71,43,486,139,190,2335,86,560,173,162,36,28,434,65,89,1249
+2017,"Neukölln",80207,"Buckow",6,1,162,34,75,500,39,121,28,77,12,4,169,19,18,399
+2017,"Neukölln",80308,"Gropiusstadt",54,36,362,93,112,1643,63,241,185,70,6,6,302,30,27,928
+2017,"Neukölln",80409,"Buckow Nord",9,3,100,21,53,471,26,105,43,22,5,2,52,6,8,217
+2017,"Neukölln",80410,"Rudow",21,11,264,60,131,1191,110,300,128,197,25,6,276,28,22,600
+2017,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",28,22,81,30,47,739,26,143,63,0,4,2,68,4,47,213
+2017,"Treptow-Köpenick",90101,"Alt-Treptow",44,25,184,51,48,1310,20,120,274,37,7,3,225,103,123,542
+2017,"Treptow-Köpenick",90102,"Plänterwald",6,3,80,18,35,501,41,138,105,19,7,5,133,30,17,207
+2017,"Treptow-Köpenick",90103,"Baumschulenweg",11,6,134,22,54,894,50,162,161,27,11,5,182,54,19,336
+2017,"Treptow-Köpenick",90104,"Johannisthal",7,6,127,26,51,654,61,180,88,37,6,1,138,28,26,287
+2017,"Treptow-Köpenick",90205,"Oberschöneweide",13,7,318,66,84,1082,49,251,157,25,13,7,303,55,66,671
+2017,"Treptow-Köpenick",90206,"Niederschöneweide",17,8,192,38,49,1083,55,99,153,14,9,3,251,140,44,351
+2017,"Treptow-Köpenick",90207,"Adlershof",19,11,125,29,43,1142,40,189,209,20,6,3,216,60,23,308
+2017,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",5,4,120,25,31,313,13,92,52,9,2,0,113,23,22,239
+2017,"Treptow-Köpenick",90309,"Altglienicke",8,4,183,35,69,712,107,193,91,69,11,6,152,33,19,359
+2017,"Treptow-Köpenick",90310,"Bohnsdorf",7,2,112,27,32,459,43,65,39,41,2,1,99,21,16,204
+2017,"Treptow-Köpenick",90311,"Grünau",3,2,44,9,19,243,8,48,38,11,1,1,167,124,1,104
+2017,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",1,0,14,5,8,69,4,14,11,5,1,0,29,11,1,30
+2017,"Treptow-Köpenick",90413,"Köpenick-Süd",4,2,71,14,35,278,23,59,37,29,4,0,131,19,26,173
+2017,"Treptow-Köpenick",90414,"Allende-Viertel",2,1,40,7,6,174,20,26,26,4,2,0,50,8,1,81
+2017,"Treptow-Köpenick",90415,"Altstadt-Kietz",5,5,109,12,28,193,9,35,50,4,4,3,106,12,19,210
+2017,"Treptow-Köpenick",90416,"Müggelheim",1,0,32,5,12,70,4,22,7,6,2,2,27,10,3,50
+2017,"Treptow-Köpenick",90517,"Friedrichshagen",4,3,87,19,35,579,42,77,180,8,4,1,172,62,11,218
+2017,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",4,3,58,12,16,275,12,77,79,25,0,0,60,11,2,95
+2017,"Treptow-Köpenick",90519,"Dammvorstadt",15,7,142,38,46,686,10,74,105,18,7,5,159,49,24,291
+2017,"Treptow-Köpenick",90520,"Köpenick-Nord",4,3,50,13,16,253,18,58,67,30,2,0,75,23,7,114
+2017,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",20,11,84,26,33,483,45,121,94,1,4,2,83,14,25,172
+2017,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",22,13,363,66,92,723,69,111,101,22,20,9,255,73,26,678
+2017,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",39,26,696,124,195,2351,174,445,155,53,35,9,519,81,79,1574
+2017,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",20,9,392,73,116,1765,169,435,101,64,18,6,337,49,48,882
+2017,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",39,22,581,111,139,1470,88,186,105,25,30,11,617,199,89,1085
+2017,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",24,11,291,51,69,558,22,74,113,12,14,2,218,65,23,526
+2017,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",10,6,291,51,86,668,66,101,64,17,9,1,283,101,41,555
+2017,"Marzahn-Hellersdorf",100307,"Biesdorf",18,8,181,33,65,1112,38,156,159,133,9,4,237,68,16,409
+2017,"Marzahn-Hellersdorf",100408,"Kaulsdorf",8,4,190,13,35,455,13,72,99,55,3,2,142,28,13,307
+2017,"Marzahn-Hellersdorf",100409,"Mahlsdorf",9,3,101,19,44,543,20,88,101,77,2,0,196,83,10,206
+2017,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",10,9,66,17,30,296,17,64,49,0,0,0,67,21,12,134
+2017,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",1,0,25,4,10,117,0,17,11,23,4,2,23,6,2,44
+2017,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",23,10,247,45,63,722,55,102,119,25,17,3,199,25,64,600
+2017,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",23,15,295,69,63,979,62,160,122,25,11,4,195,42,45,599
+2017,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",12,7,170,29,41,736,32,119,71,53,8,1,141,26,25,326
+2017,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",12,9,201,32,68,1118,103,303,129,65,19,4,263,61,42,500
+2017,"Lichtenberg",110306,"Fennpfuhl",34,27,231,46,87,1288,83,359,149,72,20,5,339,79,29,586
+2017,"Lichtenberg",110307,"Alt-Lichtenberg",24,11,513,119,136,2342,85,384,222,66,26,13,428,126,67,932
+2017,"Lichtenberg",110308,"Frankfurter Allee Süd",20,14,158,50,44,857,34,85,97,15,8,3,171,65,59,303
+2017,"Lichtenberg",110409,"Neu Lichtenberg",19,13,307,68,98,1524,47,210,275,50,20,7,371,116,75,728
+2017,"Lichtenberg",110410,"Friedrichsfelde Nord",8,5,128,30,35,550,45,130,49,16,8,3,138,33,30,263
+2017,"Lichtenberg",110411,"Friedrichsfelde Süd",17,10,160,27,56,784,58,150,101,22,21,13,232,56,27,375
+2017,"Lichtenberg",110512,"Rummelsburger Bucht",2,2,32,6,12,251,10,32,64,14,3,1,58,17,10,97
+2017,"Lichtenberg",110513,"Karlshorst",7,5,136,37,54,913,45,120,265,83,13,4,146,23,26,294
+2017,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",16,12,37,15,18,307,32,90,49,0,5,1,68,13,14,112
+2017,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",23,11,341,92,102,1035,29,250,169,63,24,6,293,65,93,662
+2017,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",37,20,315,69,110,1303,37,246,107,75,25,8,321,70,112,705
+2017,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",21,7,226,64,101,995,18,232,49,55,9,5,140,17,269,486
+2017,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",30,10,429,104,173,1268,22,206,77,46,21,10,246,28,104,887
+2017,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",14,5,209,54,54,953,15,78,68,22,7,3,175,31,29,373
+2017,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",1,0,77,18,44,397,20,117,43,61,4,3,98,15,31,172
+2017,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",10,9,136,24,58,918,42,226,202,178,12,3,196,59,34,301
+2017,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",33,16,385,100,138,1257,29,166,99,116,22,6,352,133,97,726
+2017,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",41,24,529,110,199,1412,48,302,88,45,36,18,290,47,84,1060
+2017,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",9,4,85,20,40,333,4,78,17,21,6,2,143,65,15,185
+2017,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",6,3,110,24,38,520,11,101,74,41,8,3,132,20,24,266
+2017,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",11,9,100,24,49,944,30,174,42,1,2,0,73,6,35,206
+2018,"Mitte",10111,"Tiergarten Süd",70,58,416,125,103,2540,17,274,310,39,14,3,284,42,273,1247
+2018,"Mitte",10112,"Regierungsviertel",34,16,519,110,114,3883,15,199,372,35,6,1,407,159,133,857
+2018,"Mitte",10113,"Alexanderplatz",130,80,1531,366,309,10144,68,580,880,133,26,6,1036,333,971,2798
+2018,"Mitte",10114,"Brunnenstraße Süd",26,14,286,60,69,1817,47,153,314,56,9,6,442,218,69,690
+2018,"Mitte",10221,"Moabit West",71,38,653,164,215,2470,37,398,447,83,29,12,496,99,435,1262
+2018,"Mitte",10222,"Moabit Ost",61,38,689,150,210,3620,30,281,361,73,31,8,435,73,473,1421
+2018,"Mitte",10331,"Osloer Straße",77,42,752,205,250,2624,46,288,260,73,29,13,439,92,217,1397
+2018,"Mitte",10332,"Brunnenstraße Nord",68,41,642,170,224,2536,65,343,273,87,28,6,551,187,387,1303
+2018,"Mitte",10441,"Parkviertel",55,26,754,183,243,2690,62,442,363,88,30,9,562,113,125,1511
+2018,"Mitte",10442,"Wedding Zentrum",90,54,958,247,243,3252,52,438,434,108,39,8,710,169,534,1821
+2018,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",51,42,250,74,88,2226,26,258,159,0,4,3,166,25,175,592
+2018,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",99,56,628,179,207,3646,55,588,445,114,36,10,564,102,798,1526
+2018,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",95,54,819,269,239,5959,90,742,1216,139,46,14,785,163,310,2142
+2018,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",71,49,483,183,105,2190,23,218,293,84,24,3,380,106,522,948
+2018,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",104,80,452,183,101,2031,32,190,468,63,16,4,376,114,934,993
+2018,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",17,7,197,45,77,1174,40,184,244,46,5,3,256,51,40,500
+2018,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",82,63,690,227,109,2913,28,249,358,35,18,10,441,110,664,1180
+2018,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",24,13,389,120,97,1792,37,149,394,48,16,5,534,136,92,805
+2018,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",95,64,943,332,176,3622,35,315,714,103,30,10,1017,334,1122,1875
+2018,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",45,40,138,49,34,1057,16,146,121,0,5,1,114,13,143,293
+2018,"Pankow",30101,"Buch",11,2,179,37,72,635,15,66,144,13,12,6,176,47,33,337
+2018,"Pankow",30202,"Blankenfelde/Niederschönhausen",10,6,124,15,46,800,28,134,200,40,8,4,153,20,16,309
+2018,"Pankow",30203,"Buchholz",6,3,70,10,28,329,25,50,58,23,7,2,92,12,9,161
+2018,"Pankow",30304,"Karow",4,2,84,20,29,418,3,102,126,34,1,0,107,18,13,200
+2018,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",7,4,94,21,36,693,20,107,102,59,8,2,131,31,12,185
+2018,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",10,6,77,20,30,450,20,114,50,48,11,3,98,15,14,169
+2018,"Pankow",30406,"Pankow Zentrum",27,19,207,46,93,1854,47,175,580,63,15,3,296,95,43,660
+2018,"Pankow",30408,"Pankow Süd",35,23,219,52,94,1070,53,134,387,63,15,6,260,74,40,569
+2018,"Pankow",30509,"Weißensee",21,12,327,88,127,1399,73,146,278,63,23,6,336,51,47,748
+2018,"Pankow",30510,"Weißensee Ost",11,5,124,25,45,536,31,73,86,24,12,5,150,22,42,280
+2018,"Pankow",30611,"Prenzlauer Berg Nordwest",47,24,293,109,77,1468,39,109,365,39,12,4,292,113,175,648
+2018,"Pankow",30612,"Prenzlauer Berg Nord",24,13,190,49,79,1450,55,133,439,39,14,7,264,89,54,490
+2018,"Pankow",30613,"Helmholtzplatz",14,4,190,55,60,1016,16,57,296,23,5,4,279,127,49,478
+2018,"Pankow",30614,"Prenzlauer Berg Ost",37,15,371,78,77,2098,58,184,309,68,32,12,439,181,71,702
+2018,"Pankow",30715,"Prenzlauer Berg Südwest",22,14,340,75,71,1774,29,184,378,57,8,1,343,92,47,729
+2018,"Pankow",30716,"Prenzlauer Berg Süd",14,8,157,36,51,1218,61,167,318,55,9,3,267,86,39,504
+2018,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",20,17,63,17,29,553,30,111,144,0,5,3,77,9,42,156
+2018,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",23,6,279,84,107,1030,70,240,123,51,16,9,232,22,185,721
+2018,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",16,9,178,64,39,656,34,126,75,89,3,1,139,51,49,334
+2018,"Charlottenburg-Wilmersdorf",40203,"Westend",25,16,318,83,119,2188,66,347,213,79,11,4,243,33,45,703
+2018,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",18,10,282,62,87,1062,29,105,190,52,14,6,261,80,37,638
+2018,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",7,3,158,35,75,847,19,129,126,27,11,10,121,21,50,398
+2018,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",38,20,445,105,151,2266,32,216,421,62,19,9,399,104,65,1144
+2018,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",33,19,252,58,78,1534,47,195,269,66,15,6,222,47,57,724
+2018,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",38,15,284,54,85,2457,16,118,274,75,9,0,217,24,56,780
+2018,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",62,31,760,218,154,4351,35,227,264,46,15,5,387,82,173,1618
+2018,"Charlottenburg-Wilmersdorf",40310,"Halensee",13,4,136,26,39,1130,33,152,123,33,9,6,108,22,16,453
+2018,"Charlottenburg-Wilmersdorf",40411,"Grunewald",12,5,89,18,56,793,41,259,96,87,10,7,235,82,15,374
+2018,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",4,1,60,10,28,567,36,149,54,50,5,2,91,17,18,192
+2018,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",10,3,94,16,29,579,43,83,179,18,6,2,96,23,15,240
+2018,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",40,15,242,58,108,2210,54,284,337,107,11,8,363,132,70,1129
+2018,"Charlottenburg-Wilmersdorf",40515,"Barstraße",15,5,130,25,63,794,18,118,169,27,6,1,98,8,45,430
+2018,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",27,13,216,61,96,2129,60,239,471,64,23,7,259,53,75,736
+2018,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",7,4,22,3,6,32,1,7,1,0,5,5,9,2,0,36
+2018,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",29,26,102,31,57,749,47,183,89,0,7,4,78,10,53,238
+2018,"Spandau",50101,"Hakenfelde",16,11,202,56,55,864,36,237,58,16,17,10,193,5,26,480
+2018,"Spandau",50102,"Falkenhagener Feld",35,24,427,92,154,1012,56,194,174,41,29,13,296,10,53,904
+2018,"Spandau",50103,"Spandau Mitte",104,61,701,183,214,2227,33,332,270,38,29,13,425,50,224,1397
+2018,"Spandau",50204,"Brunsbütteler Damm",12,8,210,49,73,765,46,123,88,42,17,3,177,26,25,411
+2018,"Spandau",50205,"Heerstraße Nord",33,17,350,74,148,949,34,157,57,50,23,13,239,36,44,750
+2018,"Spandau",50206,"Wilhelmstadt",56,27,666,185,208,2681,32,208,234,57,20,8,451,52,134,1268
+2018,"Spandau",50307,"Haselhorst",15,9,170,25,63,772,43,147,56,24,10,5,133,19,24,414
+2018,"Spandau",50308,"Siemensstadt",17,6,152,34,46,773,34,94,169,31,4,1,128,35,17,417
+2018,"Spandau",50409,"Gatow/Kladow",7,3,104,21,58,395,12,61,38,66,9,3,82,2,11,217
+2018,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",20,18,64,22,40,364,17,127,45,0,6,4,70,6,26,165
+2018,"Steglitz-Zehlendorf",60101,"Schloßstr.",24,15,205,45,60,2152,21,113,302,33,10,0,191,52,50,445
+2018,"Steglitz-Zehlendorf",60102,"Albrechtstr.",24,10,250,51,132,1440,54,299,300,90,16,5,331,89,69,776
+2018,"Steglitz-Zehlendorf",60203,"Lankwitz",19,4,386,81,175,1167,41,254,130,76,22,12,290,33,84,789
+2018,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",19,8,199,31,94,1034,33,201,163,91,13,4,262,46,38,548
+2018,"Steglitz-Zehlendorf",60305,"Teltower Damm",14,7,180,30,86,1135,30,212,344,74,15,5,242,31,55,422
+2018,"Steglitz-Zehlendorf",60306,"Drakestr.",10,3,255,44,110,1759,61,492,351,85,30,11,329,30,45,650
+2018,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",6,4,164,40,48,912,28,220,142,49,28,11,312,146,32,307
+2018,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",14,7,181,40,85,1668,57,429,309,165,17,8,449,183,60,485
+2018,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",7,5,42,11,31,366,9,90,81,0,3,1,46,8,27,103
+2018,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",117,74,801,239,228,6218,55,395,598,132,27,14,590,124,459,3424
+2018,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",43,17,542,130,214,3553,50,331,690,115,20,8,586,174,259,1717
+2018,"Tempelhof-Schöneberg",70303,"Friedenau",23,10,266,70,110,2279,72,238,437,88,18,9,360,81,56,748
+2018,"Tempelhof-Schöneberg",70404,"Tempelhof",57,24,652,151,261,3729,105,652,504,134,51,11,812,239,358,1724
+2018,"Tempelhof-Schöneberg",70505,"Mariendorf",28,16,363,76,131,1760,57,419,187,119,31,13,457,78,82,899
+2018,"Tempelhof-Schöneberg",70606,"Marienfelde",22,12,212,48,87,1056,24,226,90,52,20,9,211,46,61,525
+2018,"Tempelhof-Schöneberg",70707,"Lichtenrade",25,13,352,61,113,1147,38,307,99,106,19,8,367,75,76,696
+2018,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",21,17,84,20,47,692,18,126,103,0,2,1,58,7,35,194
+2018,"Neukölln",80101,"Schillerpromenade",80,46,530,181,121,2316,36,363,229,86,36,21,431,77,371,1271
+2018,"Neukölln",80102,"Neuköllner Mitte/Zentrum",106,56,703,214,182,4453,49,526,376,67,33,16,589,62,332,1537
+2018,"Neukölln",80103,"Reuterstraße",53,28,584,210,136,2889,28,364,401,69,21,10,492,169,331,1355
+2018,"Neukölln",80104,"Rixdorf",33,18,533,144,198,2086,33,299,318,88,23,10,516,102,236,1361
+2018,"Neukölln",80105,"Köllnische Heide",25,7,261,74,103,1124,36,287,45,42,24,9,367,19,88,622
+2018,"Neukölln",80206,"Britz",70,41,440,97,203,2071,75,529,181,132,34,18,514,90,94,1193
+2018,"Neukölln",80207,"Buckow",16,7,201,41,101,566,32,169,36,42,16,9,194,27,34,487
+2018,"Neukölln",80308,"Gropiusstadt",55,32,399,95,149,1881,52,244,101,67,14,3,337,26,48,1258
+2018,"Neukölln",80409,"Buckow Nord",10,6,78,14,43,444,24,111,35,14,8,4,58,4,11,181
+2018,"Neukölln",80410,"Rudow",33,22,220,49,98,1100,77,299,89,127,26,8,310,51,32,576
+2018,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",24,23,81,34,45,632,10,144,38,2,6,2,62,8,56,199
+2018,"Treptow-Köpenick",90101,"Alt-Treptow",31,21,155,32,43,1305,14,100,290,21,6,1,182,63,77,496
+2018,"Treptow-Köpenick",90102,"Plänterwald",16,8,67,15,25,412,21,98,76,17,4,4,96,23,15,195
+2018,"Treptow-Köpenick",90103,"Baumschulenweg",12,2,140,32,70,836,27,130,118,77,11,9,167,24,22,384
+2018,"Treptow-Köpenick",90104,"Johannisthal",5,3,137,20,77,578,38,143,92,29,24,5,170,24,19,357
+2018,"Treptow-Köpenick",90205,"Oberschöneweide",16,8,355,78,105,892,61,210,115,26,18,7,268,51,81,689
+2018,"Treptow-Köpenick",90206,"Niederschöneweide",31,18,216,39,63,1115,30,94,137,17,7,6,206,108,108,365
+2018,"Treptow-Köpenick",90207,"Adlershof",19,9,189,44,54,1193,39,153,234,35,8,4,249,87,46,404
+2018,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",9,3,112,21,40,324,15,57,76,13,6,2,114,29,35,227
+2018,"Treptow-Köpenick",90309,"Altglienicke",10,7,179,28,72,674,56,144,101,68,10,2,183,36,34,396
+2018,"Treptow-Köpenick",90310,"Bohnsdorf",7,4,119,16,32,437,32,60,51,36,9,3,88,13,7,207
+2018,"Treptow-Köpenick",90311,"Grünau",3,1,29,5,14,268,7,48,87,16,8,3,117,79,5,85
+2018,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",0,0,17,1,3,74,3,15,12,8,4,2,21,2,3,37
+2018,"Treptow-Köpenick",90413,"Köpenick-Süd",0,0,84,14,32,345,17,86,61,36,19,3,114,11,10,210
+2018,"Treptow-Köpenick",90414,"Allende-Viertel",4,2,28,5,21,174,10,34,29,6,3,2,46,7,7,76
+2018,"Treptow-Köpenick",90415,"Altstadt-Kietz",2,1,120,29,30,211,7,24,59,1,3,1,98,18,21,207
+2018,"Treptow-Köpenick",90416,"Müggelheim",2,1,20,4,9,84,5,30,13,9,4,4,25,6,5,44
+2018,"Treptow-Köpenick",90517,"Friedrichshagen",6,5,107,28,30,585,29,49,214,13,8,5,158,39,10,233
+2018,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",2,0,30,6,15,261,6,52,95,24,4,3,50,9,10,62
+2018,"Treptow-Köpenick",90519,"Dammvorstadt",9,5,143,49,36,659,10,54,116,8,3,1,146,27,31,282
+2018,"Treptow-Köpenick",90520,"Köpenick-Nord",13,9,67,10,24,258,10,41,76,35,6,1,93,12,13,168
+2018,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",19,18,86,24,58,460,29,113,87,1,11,7,82,19,15,213
+2018,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",26,20,382,65,77,655,54,99,94,18,19,3,309,84,53,649
+2018,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",39,22,688,142,193,1679,135,252,98,46,50,15,469,65,96,1281
+2018,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",16,8,326,54,132,1378,142,290,85,43,26,7,350,54,56,725
+2018,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",26,14,561,104,201,1339,70,133,100,35,59,25,541,114,110,1091
+2018,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",14,9,277,44,87,493,35,71,67,8,19,6,231,40,50,510
+2018,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",16,7,381,88,104,652,33,78,98,22,31,8,329,99,50,647
+2018,"Marzahn-Hellersdorf",100307,"Biesdorf",12,6,149,30,64,1043,40,133,184,98,21,6,190,41,27,325
+2018,"Marzahn-Hellersdorf",100408,"Kaulsdorf",4,2,116,13,39,429,15,95,111,31,11,2,163,16,17,275
+2018,"Marzahn-Hellersdorf",100409,"Mahlsdorf",6,3,113,19,44,572,18,137,134,68,1,1,162,48,13,238
+2018,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",9,9,67,14,27,216,15,36,47,1,6,1,78,14,13,140
+2018,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",3,2,34,6,10,105,4,7,13,27,6,2,33,5,2,63
+2018,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",17,7,283,56,90,778,53,122,68,26,23,9,243,16,79,667
+2018,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",24,16,358,79,83,944,51,182,105,30,17,5,282,30,44,716
+2018,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",8,2,202,48,75,687,26,94,43,42,12,7,186,66,32,360
+2018,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",11,6,249,47,72,935,103,218,117,51,15,8,232,47,32,515
+2018,"Lichtenberg",110306,"Fennpfuhl",13,8,318,78,114,1134,75,233,161,48,21,6,300,41,45,654
+2018,"Lichtenberg",110307,"Alt-Lichtenberg",34,22,493,118,115,2276,67,270,252,40,27,11,354,86,84,1016
+2018,"Lichtenberg",110308,"Frankfurter Allee Süd",11,6,172,42,35,806,22,89,101,14,6,4,163,47,85,334
+2018,"Lichtenberg",110409,"Neu Lichtenberg",30,18,351,75,108,1646,49,163,351,69,19,6,395,127,58,771
+2018,"Lichtenberg",110410,"Friedrichsfelde Nord",8,5,145,27,47,500,53,82,66,20,18,5,128,26,21,293
+2018,"Lichtenberg",110411,"Friedrichsfelde Süd",14,9,161,29,66,808,46,141,140,22,9,5,200,43,17,389
+2018,"Lichtenberg",110512,"Rummelsburger Bucht",2,2,29,10,16,295,14,34,99,12,2,2,41,17,14,87
+2018,"Lichtenberg",110513,"Karlshorst",6,4,98,25,53,738,44,77,214,66,16,5,146,27,18,273
+2018,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",4,3,42,11,16,322,14,74,75,1,9,0,62,12,12,92
+2018,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",32,12,340,74,126,896,41,172,110,62,18,9,242,40,63,750
+2018,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",36,15,285,58,143,1415,52,290,120,67,14,3,303,80,135,682
+2018,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",11,4,271,72,107,825,30,195,41,37,10,6,170,6,209,545
+2018,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",28,16,422,101,149,1309,22,250,78,46,20,7,281,28,83,781
+2018,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",19,8,196,50,72,968,5,61,70,28,4,1,181,43,35,374
+2018,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",7,3,93,19,39,385,14,104,46,67,4,2,87,10,32,189
+2018,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",13,3,136,29,57,989,52,347,187,160,13,7,203,31,32,338
+2018,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",25,11,375,98,144,1168,35,168,132,97,11,3,311,83,95,765
+2018,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",44,22,464,101,184,1135,76,257,69,34,30,8,269,15,95,918
+2018,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",5,2,102,21,51,298,7,54,24,19,2,0,107,29,18,204
+2018,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",6,3,94,21,50,506,28,121,59,55,4,3,136,32,18,267
+2018,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",12,10,100,21,38,736,12,136,52,1,5,2,63,2,33,213
+2019,"Mitte",10111,"Tiergarten Süd",60,35,365,92,128,2271,15,198,296,55,13,6,347,77,231,980
+2019,"Mitte",10112,"Regierungsviertel",42,20,554,136,152,3692,13,172,352,22,19,4,497,162,170,1057
+2019,"Mitte",10113,"Alexanderplatz",173,102,1966,500,420,11233,63,587,940,137,43,12,1307,381,1133,3813
+2019,"Mitte",10114,"Brunnenstraße Süd",40,29,268,64,79,1859,39,182,361,64,18,7,424,172,86,902
+2019,"Mitte",10221,"Moabit West",66,29,685,210,202,2107,47,322,326,93,28,15,641,91,618,1409
+2019,"Mitte",10222,"Moabit Ost",48,29,652,150,231,3672,27,240,350,96,39,16,555,96,555,1597
+2019,"Mitte",10331,"Osloer Straße",61,30,727,168,214,2474,46,289,284,77,31,7,468,116,279,1457
+2019,"Mitte",10332,"Brunnenstraße Nord",62,42,692,201,209,2537,58,400,328,75,30,10,589,223,415,1399
+2019,"Mitte",10441,"Parkviertel",64,45,699,159,218,2779,50,492,260,113,33,13,540,86,156,1490
+2019,"Mitte",10442,"Wedding Zentrum",86,42,968,264,299,2883,43,442,310,113,37,14,759,190,573,1829
+2019,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",5,4,19,7,5,94,0,6,10,0,0,0,15,7,17,34
+2019,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",125,70,716,200,255,3973,43,447,483,105,41,17,656,103,622,1858
+2019,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",119,82,872,283,271,5797,113,525,1182,113,55,23,1320,530,527,2119
+2019,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",94,67,524,215,99,2509,27,238,300,48,26,8,407,84,493,1103
+2019,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",182,150,530,251,125,2343,37,219,440,52,44,15,519,104,1310,1316
+2019,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",38,26,225,58,61,1260,50,132,222,45,8,5,298,59,58,634
+2019,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",98,74,787,281,160,3618,36,215,334,33,20,9,480,120,770,1573
+2019,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",30,16,376,109,96,1839,33,84,353,49,48,9,604,118,121,1212
+2019,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",132,92,972,353,168,4273,48,259,775,68,39,15,1062,335,1322,2606
+2019,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",2,2,4,2,2,38,0,1,5,0,1,1,3,1,9,10
+2019,"Pankow",30101,"Buch",9,5,243,57,91,742,17,78,118,8,26,6,259,51,38,439
+2019,"Pankow",30202,"Blankenfelde/Niederschönhausen",7,5,106,14,59,671,31,133,151,62,15,7,208,32,22,336
+2019,"Pankow",30203,"Buchholz",3,0,76,10,42,366,7,73,65,29,4,2,87,11,9,165
+2019,"Pankow",30304,"Karow",4,4,81,9,41,369,6,53,93,47,6,4,101,30,21,176
+2019,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",6,4,107,22,48,702,23,115,151,45,9,4,181,40,24,230
+2019,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",11,8,81,9,33,536,19,122,51,94,11,5,121,18,8,253
+2019,"Pankow",30406,"Pankow Zentrum",40,34,240,58,91,1572,47,146,502,58,13,3,311,88,41,659
+2019,"Pankow",30408,"Pankow Süd",26,15,231,42,101,1093,73,160,352,46,18,7,298,89,46,627
+2019,"Pankow",30509,"Weißensee",16,9,348,73,137,1728,61,197,350,83,12,6,401,101,68,845
+2019,"Pankow",30510,"Weißensee Ost",10,4,146,28,53,589,31,107,92,30,9,4,184,34,51,399
+2019,"Pankow",30611,"Prenzlauer Berg Nordwest",36,25,252,65,70,1391,42,94,380,38,15,2,294,90,154,621
+2019,"Pankow",30612,"Prenzlauer Berg Nord",22,9,209,39,78,1588,71,171,392,41,11,4,303,89,70,617
+2019,"Pankow",30613,"Helmholtzplatz",11,8,179,41,52,891,28,60,228,59,8,2,309,132,35,484
+2019,"Pankow",30614,"Prenzlauer Berg Ost",36,22,331,63,124,2111,76,182,319,72,23,7,496,179,92,828
+2019,"Pankow",30715,"Prenzlauer Berg Südwest",18,9,379,92,69,1549,38,140,360,70,13,5,372,132,50,754
+2019,"Pankow",30716,"Prenzlauer Berg Süd",28,14,154,26,66,1251,55,146,362,64,7,4,316,106,46,603
+2019,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",1,1,11,3,1,53,1,8,10,0,1,0,8,2,13,18
+2019,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",35,10,316,84,110,1086,91,336,59,75,28,18,200,28,216,690
+2019,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",16,13,188,49,51,677,24,146,46,81,4,3,176,63,43,384
+2019,"Charlottenburg-Wilmersdorf",40203,"Westend",31,19,313,82,142,1899,52,315,205,122,17,11,325,44,45,821
+2019,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",26,9,238,42,124,903,16,97,174,32,11,5,271,77,54,579
+2019,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",26,11,165,37,72,767,27,143,100,23,14,8,199,33,48,458
+2019,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",31,16,441,106,139,1940,20,291,346,66,25,16,480,97,84,1060
+2019,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",17,9,280,67,101,1249,47,202,247,74,12,7,225,26,71,660
+2019,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",23,10,330,72,118,2233,15,100,274,56,9,4,170,17,72,812
+2019,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",85,36,767,212,171,4001,25,286,220,57,11,5,381,101,234,1339
+2019,"Charlottenburg-Wilmersdorf",40310,"Halensee",19,12,167,30,59,1101,25,149,160,56,8,6,167,14,30,502
+2019,"Charlottenburg-Wilmersdorf",40411,"Grunewald",15,8,133,19,70,783,31,242,86,117,9,2,264,114,21,419
+2019,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",9,7,84,13,38,676,29,144,93,70,8,3,117,22,16,252
+2019,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",7,6,82,16,30,763,38,99,191,39,7,1,138,18,20,308
+2019,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",38,17,260,65,93,1686,67,314,290,83,24,11,357,119,80,807
+2019,"Charlottenburg-Wilmersdorf",40515,"Barstraße",9,6,118,20,55,720,27,131,168,30,4,3,114,21,39,343
+2019,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",26,16,229,47,91,2011,39,338,417,114,19,4,308,53,96,918
+2019,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",6,6,17,6,13,36,1,11,3,1,13,13,15,5,4,44
+2019,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",1,1,3,2,7,40,1,8,9,0,2,2,4,0,1,11
+2019,"Spandau",50101,"Hakenfelde",12,4,165,35,63,813,41,173,64,31,26,16,229,13,26,476
+2019,"Spandau",50102,"Falkenhagener Feld",20,11,399,74,162,1063,81,150,114,53,46,16,299,9,67,891
+2019,"Spandau",50103,"Spandau Mitte",65,31,671,160,251,1940,47,247,167,35,28,16,529,48,266,1328
+2019,"Spandau",50204,"Brunsbütteler Damm",14,3,169,41,73,839,51,125,121,25,17,6,207,10,18,438
+2019,"Spandau",50205,"Heerstraße Nord",21,9,362,77,122,860,35,151,88,51,25,12,338,70,42,740
+2019,"Spandau",50206,"Wilhelmstadt",39,20,601,150,202,2459,30,207,162,55,20,8,364,40,101,1148
+2019,"Spandau",50307,"Haselhorst",18,7,150,33,78,693,49,127,52,21,14,10,108,9,39,337
+2019,"Spandau",50308,"Siemensstadt",13,8,128,25,45,662,44,130,96,38,8,5,130,33,34,330
+2019,"Spandau",50409,"Gatow/Kladow",6,3,92,21,61,348,19,34,38,86,8,6,124,4,8,241
+2019,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",3,1,7,3,0,17,0,5,1,0,2,2,4,0,5,12
+2019,"Steglitz-Zehlendorf",60101,"Schloßstr.",39,23,240,51,79,2281,41,155,388,65,41,5,248,45,70,587
+2019,"Steglitz-Zehlendorf",60102,"Albrechtstr.",35,23,274,49,128,1486,79,308,271,142,31,12,426,90,59,843
+2019,"Steglitz-Zehlendorf",60203,"Lankwitz",19,9,354,60,132,1262,51,240,104,117,19,6,333,30,78,839
+2019,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",22,10,216,40,101,955,53,189,163,66,16,7,257,68,29,514
+2019,"Steglitz-Zehlendorf",60305,"Teltower Damm",36,28,173,29,94,1170,23,204,376,50,12,2,242,32,51,449
+2019,"Steglitz-Zehlendorf",60306,"Drakestr.",20,10,269,50,133,1475,52,289,288,94,19,7,316,35,44,676
+2019,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",15,10,145,40,81,906,38,157,160,95,31,19,411,241,36,389
+2019,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",31,15,204,40,111,1782,65,379,390,148,24,13,475,215,43,567
+2019,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",0,0,9,3,3,39,0,6,6,0,1,1,1,0,2,12
+2019,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",125,81,737,206,228,4691,39,383,642,113,32,18,672,233,413,2016
+2019,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",43,24,606,142,209,3103,47,294,597,88,22,8,615,177,241,1632
+2019,"Tempelhof-Schöneberg",70303,"Friedenau",27,16,271,51,121,2173,72,325,421,92,32,15,389,88,67,777
+2019,"Tempelhof-Schöneberg",70404,"Tempelhof",66,27,813,173,325,3816,116,698,407,173,47,19,869,254,287,2128
+2019,"Tempelhof-Schöneberg",70505,"Mariendorf",40,21,332,68,258,1832,61,435,205,172,21,7,400,68,86,1080
+2019,"Tempelhof-Schöneberg",70606,"Marienfelde",16,9,260,67,102,947,48,191,107,46,23,10,251,40,41,557
+2019,"Tempelhof-Schöneberg",70707,"Lichtenrade",33,22,329,54,129,1008,80,225,126,95,36,12,398,71,69,675
+2019,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",2,2,5,1,5,48,1,3,6,0,0,0,5,3,5,14
+2019,"Neukölln",80101,"Schillerpromenade",62,33,472,173,124,1983,21,243,256,101,24,16,404,59,458,1138
+2019,"Neukölln",80102,"Neuköllner Mitte/Zentrum",100,52,759,270,217,4680,30,458,388,97,32,18,634,119,469,1722
+2019,"Neukölln",80103,"Reuterstraße",77,47,604,203,187,3413,24,296,628,114,42,23,593,147,462,1717
+2019,"Neukölln",80104,"Rixdorf",55,40,492,153,148,2341,18,293,465,92,23,16,548,90,346,1506
+2019,"Neukölln",80105,"Köllnische Heide",24,8,221,56,98,1187,48,291,46,41,23,12,208,15,85,600
+2019,"Neukölln",80206,"Britz",52,30,464,107,217,2094,69,463,195,191,25,12,514,63,145,1346
+2019,"Neukölln",80207,"Buckow",24,14,222,42,119,567,29,155,39,49,13,6,324,10,51,678
+2019,"Neukölln",80308,"Gropiusstadt",48,27,448,129,171,1683,45,334,105,72,21,7,368,30,47,1037
+2019,"Neukölln",80409,"Buckow Nord",11,5,82,19,42,366,11,81,32,30,5,3,83,4,11,216
+2019,"Neukölln",80410,"Rudow",25,16,303,65,134,898,75,209,93,129,14,11,314,15,45,696
+2019,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",2,1,5,2,10,79,0,13,4,0,0,0,6,3,7,21
+2019,"Treptow-Köpenick",90101,"Alt-Treptow",32,21,203,60,61,1494,23,108,312,31,10,3,189,52,141,791
+2019,"Treptow-Köpenick",90102,"Plänterwald",5,1,56,11,34,536,32,97,64,38,2,1,102,16,7,257
+2019,"Treptow-Köpenick",90103,"Baumschulenweg",14,8,122,17,62,806,45,137,142,43,10,7,142,26,30,317
+2019,"Treptow-Köpenick",90104,"Johannisthal",12,6,121,21,67,591,47,161,90,39,14,6,143,11,32,340
+2019,"Treptow-Köpenick",90205,"Oberschöneweide",10,4,335,76,96,1202,79,362,168,37,24,11,333,63,84,749
+2019,"Treptow-Köpenick",90206,"Niederschöneweide",16,10,222,61,60,1042,30,83,172,20,9,4,251,106,48,418
+2019,"Treptow-Köpenick",90207,"Adlershof",14,9,171,36,78,983,48,140,240,23,9,6,240,52,28,396
+2019,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",1,1,130,31,36,360,17,52,80,13,12,4,151,33,24,259
+2019,"Treptow-Köpenick",90309,"Altglienicke",11,8,213,44,78,671,88,120,91,55,16,5,164,21,39,442
+2019,"Treptow-Köpenick",90310,"Bohnsdorf",5,3,107,20,42,442,25,66,61,28,5,3,118,11,14,255
+2019,"Treptow-Köpenick",90311,"Grünau",2,1,33,8,23,251,12,35,73,14,15,9,136,64,8,114
+2019,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",3,0,22,3,10,79,9,8,11,0,5,4,16,3,2,42
+2019,"Treptow-Köpenick",90413,"Köpenick-Süd",3,2,46,5,14,176,9,37,26,29,18,12,59,7,8,113
+2019,"Treptow-Köpenick",90414,"Allende-Viertel",1,0,75,17,20,355,20,53,87,5,8,5,94,15,18,172
+2019,"Treptow-Köpenick",90415,"Altstadt-Kietz",4,3,102,22,40,180,4,28,49,2,3,0,124,21,27,209
+2019,"Treptow-Köpenick",90416,"Müggelheim",1,1,21,7,9,86,4,11,14,5,11,10,48,10,11,53
+2019,"Treptow-Köpenick",90517,"Friedrichshagen",12,7,135,33,27,560,40,65,182,15,19,4,176,48,16,236
+2019,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",0,0,41,5,17,238,14,41,69,14,4,4,79,20,13,77
+2019,"Treptow-Köpenick",90519,"Dammvorstadt",19,14,206,60,46,756,21,72,154,11,8,3,161,36,65,373
+2019,"Treptow-Köpenick",90520,"Köpenick-Nord",3,3,79,24,30,265,15,53,61,36,13,5,91,19,16,178
+2019,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",1,1,12,1,9,35,0,4,6,0,4,4,13,2,2,25
+2019,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",28,17,405,71,104,554,54,71,53,17,27,9,305,78,53,682
+2019,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",56,41,712,171,190,1719,146,325,66,22,49,17,506,65,130,1271
+2019,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",33,19,402,87,122,1546,156,346,101,45,11,6,325,21,70,831
+2019,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",47,28,532,89,167,1607,61,176,96,29,50,23,531,65,112,1309
+2019,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",28,19,244,49,81,545,39,79,77,10,31,10,188,30,42,540
+2019,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",17,11,266,45,84,566,29,56,57,7,21,7,272,80,45,473
+2019,"Marzahn-Hellersdorf",100307,"Biesdorf",17,9,204,38,77,1038,48,152,158,76,16,6,187,29,34,396
+2019,"Marzahn-Hellersdorf",100408,"Kaulsdorf",8,4,113,21,39,517,24,81,98,40,14,7,137,17,18,225
+2019,"Marzahn-Hellersdorf",100409,"Mahlsdorf",3,3,85,17,40,487,38,88,78,85,9,4,191,56,30,197
+2019,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",2,2,4,0,2,26,3,5,1,0,0,0,14,4,10,10
+2019,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",1,0,24,6,6,110,1,14,10,14,5,0,35,6,6,42
+2019,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",11,6,346,63,107,547,52,78,53,17,29,11,254,24,68,637
+2019,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",20,15,327,79,90,855,64,148,91,22,21,5,257,18,26,706
+2019,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",17,9,197,41,64,891,35,136,62,35,7,6,173,13,26,469
+2019,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",18,10,254,44,75,1126,88,224,143,30,10,3,229,34,36,592
+2019,"Lichtenberg",110306,"Fennpfuhl",22,11,312,57,98,1056,60,185,133,45,25,10,358,58,45,686
+2019,"Lichtenberg",110307,"Alt-Lichtenberg",74,54,553,126,149,2105,94,254,214,32,38,21,445,94,102,1115
+2019,"Lichtenberg",110308,"Frankfurter Allee Süd",20,7,159,51,37,693,34,65,92,5,10,6,173,45,88,292
+2019,"Lichtenberg",110409,"Neu Lichtenberg",32,21,349,89,117,1699,52,107,384,36,15,9,422,91,51,1036
+2019,"Lichtenberg",110410,"Friedrichsfelde Nord",18,14,153,37,73,567,53,113,77,8,12,2,171,44,23,355
+2019,"Lichtenberg",110411,"Friedrichsfelde Süd",14,9,187,41,61,908,56,139,116,50,13,6,253,35,38,500
+2019,"Lichtenberg",110512,"Rummelsburger Bucht",4,3,58,14,20,332,11,55,99,12,9,6,80,28,11,147
+2019,"Lichtenberg",110513,"Karlshorst",6,6,117,26,49,720,38,112,171,73,8,4,131,24,13,288
+2019,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",3,3,7,1,4,28,0,1,6,0,0,0,5,0,1,17
+2019,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",21,14,322,75,119,947,42,172,117,77,23,12,225,24,104,738
+2019,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",34,21,282,67,132,1261,41,286,90,84,11,5,314,116,119,666
+2019,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",9,4,256,69,109,1233,21,217,43,37,9,3,142,6,210,528
+2019,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",29,13,351,84,161,1336,21,255,99,54,16,6,271,63,70,785
+2019,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",29,15,164,53,70,860,7,38,69,36,8,4,127,26,34,350
+2019,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",7,3,77,21,56,365,23,87,61,43,7,4,116,13,18,199
+2019,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",14,8,106,23,54,883,41,153,275,87,4,1,198,28,44,286
+2019,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",34,19,372,85,123,1160,30,135,150,93,16,3,306,74,110,728
+2019,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",42,22,491,123,187,1100,51,224,76,40,39,19,286,11,73,986
+2019,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",6,4,84,19,34,293,13,36,18,34,5,2,156,56,21,212
+2019,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",8,4,95,18,43,492,21,96,69,38,6,1,79,8,31,218
+2019,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",3,2,14,7,4,59,0,7,15,0,1,0,7,3,9,21
diff --git a/Crime in berlin.jpg b/Crime in berlin.jpg
new file mode 100644
index 00000000..ad52b431
Binary files /dev/null and b/Crime in berlin.jpg differ
diff --git a/README.md b/README.md
index f637438f..1b2ed0f1 100644
--- a/README.md
+++ b/README.md
@@ -1,77 +1,157 @@
-# Project overview
-...
+# 🏙️ Berlin Urban Safety Analysis: A BIUS Project
 
-# Installation
+---
 
-1. **Clone the repository**:
+## Project Overview
 
-```bash
-git clone https://github.com/YourUsername/repository_name.git
-```
+The Berlin Institute for Urban Safety (BIUS) is an independent, non-profit think tank dedicated to researching the causes and consequences of crime for evidence-based policy recommendations.
 
-2. **Install UV**
+This project is an independent analysis conducted on behalf of BIUS, aiming to investigate crime patterns in Berlin by combining demographic and crime datasets.
 
-If you're a MacOS/Linux user type:
+The presentation is available [here](https://docs.google.com/presentation/d/1Y4ldaEibWwJ1H7KI63VCK8tHZ-8zNZeO/edit?usp=sharing&ouid=105239850282776443277&rtpof=true&sd=true).
+---
 
-```bash
-curl -LsSf https://astral.sh/uv/install.sh | sh
-```
+## 💾 Data Sources
 
-If you're a Windows user open an Anaconda Powershell Prompt and type :
+The analysis merges two key public datasets, linked by geographic identifiers (postal/area codes and districts):
 
-```bash
-powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
-```
+| Dataset                        | Source                                                    | Purpose                                                                                    |
+| :----------------------------- | :-------------------------------------------------------- | :----------------------------------------------------------------------------------------- |
+| **Crimes in Berlin**           | Kaggle: `martincymorek/berlin-crimes`                     | Core data for all crime counts by year and area.                                           |
+| **Berlin District Population** | Kaggle: `shreejahoskerenatesh/berlin-district-population` | Provides population counts by age group and gender for calculating per-capita crime rates. |
 
-3. **Create an environment**
+---
 
-```bash
-uv venv 
-```
+## Day 1: Exploration and Hypothesis Formulation
 
-3. **Activate the environment**
+The initial day focused on exploratory data analysis (EDA) and defining the analytical framework.
 
-If you're a MacOS/Linux user type (if you're using a bash shell):
+### Analysis Goals
 
-```bash
-source ./venv/bin/activate
-```
+1. **Goal A:** Develop a Crime Risk Index — a weighted index that combines crime rates (crime count / population) to rank districts.
+2. **Goal B:** Identify correlations between demographics and crime — check whether specific age groups are associated with certain crime types.
+3. **Goal C:** Analyze crime specialization and temporal trends — investigate unique crime patterns in districts and changes over time.
 
-If you're a MacOS/Linux user type (if you're using a csh/tcsh shell):
+### Testable Hypotheses
 
-```bash
-source ./venv/bin/activate.csh
-```
+| ID     | Category                  | Hypothesis Statement                                                                                                                |
+| :----- | :------------------------ | :---------------------------------------------------------------------------------------------------------------------------------- |
+| **H1** | General Crime Rate        | Districts with higher population density will have a higher absolute number of non-violent crimes.                                  |
+| **H2** | General Crime Rate        | The **Regierungsviertel** will have an above-average rate of **Threat** and **Damage** (per capita).                                |
+| **H3** | Demographics (Age)        | Locations with a higher proportion of residents aged **65 and older** will show a higher rate of **Burglary** per capita.           |
+| **H4** | Demographics (Age)        | Locations with a higher proportion of the **18-27** age group will correlate with a higher rate of **Drugs** offenses (per capita). |
+| **H5** | Specific Crime (Temporal) | The rate of **Car theft** has declined over the years covered in the dataset.                                                       |
 
-If you're a Windows user type:
+---
 
-```bash
-.\venv\Scripts\activate
-```
+## Day 2: Data Cleaning and Preprocessing
 
-4. **Install dependencies**:
+The second day focused on preparing the raw data for analysis and ensuring consistent formatting.
 
-```bash
-uv pip install -r requirements.txt
-```
+### Key Cleaning Steps (Python/Pandas)
 
-# Questions 
-...
+1. **Column Name Standardization:** Translated and standardized column names (e.g., spaces replaced with underscores).
+2. **Umlaut Removal:** Removed special characters from string columns to avoid encoding issues.
+3. **Initial EDA:** Conducted preliminary analysis to check distributions, missing values, and data quality.
 
-# Dataset 
-...
+---
 
-## Main dataset issues
+## Day 3: Data Integration, Feature Engineering, and MySQL Queries
 
-- ...
-- ...
-- ...
+Day 3 focused on merging the datasets, calculating features, and creating SQL queries for analysis.
 
-## Solutions for the dataset issues
-...
+### Data Integration and Modeling (ERD)
 
-# Conclussions
-...
+For this project, we have **three main tables**:
 
-# Next steps
-...
+### 1. `population_data`
+
+Contains demographic information per postal code.
+
+**Key columns:**
+
+- `postal_code` → unique identifier for each postal code
+- `district` → Berlin district name
+- `total` → total population
+- Age group columns: `age_under_6`, `age_6_to_15`, `age_15_to_18`, `age_18_to_27`, `age_27_to_45`, `age_45_to_55`, `age_55_to_65`, `age_65_plus`
+- `female_total` → total female population
+
+---
+
+### 2. `location_bridge`
+
+Maps districts to postal codes and specific locations.
+
+**Key columns:**
+
+- `district` → district name
+- `code` → postal/area code
+- `location` → specific location/neighborhood within the district
+
+---
+
+### 3. `crime_data`
+
+Contains crime counts by location and year.
+
+**Key columns:**
+
+- `year` → year of record
+- `district` → district name
+- `code` → postal/area code
+- `location` → location name
+- Multiple crime type columns: `robbery`, `street_robbery`, `injury`, `agg_assault`, `threat`, `theft`, `car`, `from_car`, `bike`, `burglary`, `fire`, `arson`, `damage`, `graffiti`, `drugs`, `local`
+
+---
+
+### 🔗 Relationships
+
+- **`population_data` → `location_bridge`**:  
+  Linked via `district` and optionally `postal_code`. Allows mapping demographic data to specific locations.
+
+- **`location_bridge` → `crime_data`**:  
+  Linked via `district`, `code`, and `location`. Provides aggregation of crime counts per district or location.
+
+- **`population_data` → `crime_data`**:  
+  Can be joined through `district` and `postal_code` (via the bridge if needed) to calculate per-capita crime rates and demographic correlations.
+
+---
+
+## Crime Analysis – Hypotheses Testing in MySQL
+
+In this project, we tested several hypotheses related to crime patterns across Berlin districts using MySQL. We calculated normalized crime metrics based on population and age groups.
+
+### H1 – Overall Threat & Damage
+
+- Calculated threat level per every 1000 residents for each district.
+- **Finding:** Tempelhof-Schöneberg, Mitte, and Friedrichshain-Kreuzberg have the highest threat per 1,000 residents, while Treptow-Köpenick, Lichtenberg, and Pankow have the lowest.
+- **Conclusion:** Certain central districts experience disproportionately higher threats relative to population.
+
+### H3 – Older Population & Burglary
+
+- Analyzed burglary incidents relative to the older population.
+- **Finding:** Mitte and Tempelhof-Schöneberg show higher burglary incidents per older resident, whereas districts like Treptow-Köpenick and Lichtenberg have lower rates.
+- **Conclusion:** Burglary risk is concentrated in more central districts with higher older population density.
+
+### H4 – Young Population & Drug Offenses
+
+- Calculated drug-related crimes relative to the young population.
+- **Finding:** Mitte, Friedrichshain-Kreuzberg, and Tempelhof-Schöneberg show the highest incidence per young resident; Treptow-Köpenick and Lichtenberg are lowest.
+- **Conclusion:** Drug offenses are more prevalent in central districts with higher young population density.
+
+### H5 – Car Theft Trend Over Years
+
+- Aggregated total car thefts from 2012–2019.
+- **Finding:** Steady increase until 2016 (peak: 7,784 thefts), followed by a decline to ~6,138 in 2019.
+- **Conclusion:** Car theft trends indicate a peak period followed by stabilization, suggesting impact of preventive measures or enforcement policies.
+
+**Overall:**  
+Our MySQL queries enabled normalization of crime data relative to population and age groups, confirming that central districts face higher crime rates, while trends like car theft vary over time. These insights validate our initial hypotheses and provide a basis for targeted interventions.
+
+---
+
+### Presentation
+
+The following slides will visualize key findings, supported by MySQL queries and data analysis performed during the project.
+
+> https://docs.google.com/presentation/d/1Y4ldaEibWwJ1H7KI63VCK8tHZ-8zNZeO/edit?usp=sharing&ouid=105239850282776443277&rtpof=true&sd=true
diff --git a/Untitled.ipynb b/Untitled.ipynb
new file mode 100644
index 00000000..b6a59c70
--- /dev/null
+++ b/Untitled.ipynb
@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1caba016-5067-4ab4-8637-f96f7bd6fd37",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "language": "python",
+   "name": "venv"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/data/analysis_tables/Crime_Rate_Analysis_by_District(Whole_Period).csv b/data/analysis_tables/Crime_Rate_Analysis_by_District(Whole_Period).csv
new file mode 100644
index 00000000..5f570025
--- /dev/null
+++ b/data/analysis_tables/Crime_Rate_Analysis_by_District(Whole_Period).csv
@@ -0,0 +1,13 @@
+district,Avg_Annual_Crimes,Total_Population,Avg_Annual_Crime_Rate_per_1000
+Mitte,2494793,33258808,75
+Tempelhof-Schoeneberg,1526473,22319296,68
+Friedrichshain-Kreuzberg,969774,20439864,47
+Charlottenburg-Wilmersdorf,2012649,48775248,41
+Neukoelln,1260345,31606368,40
+Steglitz-Zehlendorf,694380,22073472,31
+Reinickendorf,874455,40051088,22
+Spandau,426266,21308056,20
+Pankow,1318923,70802864,19
+Marzahn-Hellersdorf,356744,21334480,17
+Lichtenberg,445233,34349040,13
+Treptow-Koepenick,505382,52998600,10
diff --git a/data/analysis_tables/Demographic data(whole period).csv b/data/analysis_tables/Demographic data(whole period).csv
new file mode 100644
index 00000000..df6f0918
--- /dev/null
+++ b/data/analysis_tables/Demographic data(whole period).csv	
@@ -0,0 +1,13 @@
+district,Total_Young_Adults,Total_Population,Percent_Young_Adults
+Mitte,51273,377941,13.566403221666874
+Friedrichshain-Kreuzberg,31239,283887,11.004026249881115
+Neukoelln,35232,329233,10.701235902840844
+Spandau,25190,242137,10.403201493369457
+Tempelhof-Schoeneberg,35090,348739,10.061966112192787
+Reinickendorf,26166,263494,9.930396897083046
+Charlottenburg-Wilmersdorf,33511,338717,9.893509921261701
+Lichtenberg,27121,286242,9.4748499521384
+Steglitz-Zehlendorf,28139,306576,9.178474505505976
+Treptow-Koepenick,21472,264993,8.10285554712766
+Marzahn-Hellersdorf,21335,266681,8.000194989519313
+Pankow,31804,402289,7.905759292448961
diff --git a/data/analysis_tables/Most and least common crime types.csv b/data/analysis_tables/Most and least common crime types.csv
new file mode 100644
index 00000000..77939791
--- /dev/null
+++ b/data/analysis_tables/Most and least common crime types.csv	
@@ -0,0 +1,17 @@
+Crime_Type,Total_Count
+Theft,1982820
+Local,865574
+Damage,371766
+Injury,363285
+From_car,290021
+Bike,258543
+Drugs,127948
+Threat,123080
+Burglary,93526
+Agg_assault,90730
+Graffiti,84172
+Car,55946
+Robbery,45523
+Street_robbery,25193
+Fire,21151
+Arson,8363
diff --git a/data/analysis_tables/crime types per year.csv b/data/analysis_tables/crime types per year.csv
new file mode 100644
index 00000000..11045355
--- /dev/null
+++ b/data/analysis_tables/crime types per year.csv	
@@ -0,0 +1,9 @@
+Year,Total_Robbery,Total_Street_Robbery,Total_Agg_Assault,Total_Threat,Total_Theft,Total_Car_Theft,Total_Theft_From_Car,Total_Bike_Theft,Total_Burglary,Total_Fire,Total_Arson,Total_Damage,Total_Graffiti,Total_Drugs
+2012,6726,3063,12294,15582,230854,6191,33786,28063,13670,2792,1004,55220,13750,12733
+2013,6528,3346,11237,15756,244208,7064,39439,28435,12951,2806,1092,48356,11674,13678
+2014,6366,3764,10358,15307,254773,7348,41233,33424,13526,2568,994,43871,8626,14247
+2015,6009,3354,10652,14831,278263,7378,39511,35026,13184,2325,933,43610,9185,16669
+2016,5745,3431,11131,15171,280807,8121,38684,37447,12967,2815,1155,45730,9692,15768
+2017,4699,2653,11765,15044,244732,7387,36622,32822,9697,2453,977,45008,11273,16961
+2018,4740,2778,11738,15577,233111,6313,32694,32812,8582,2572,984,43759,9747,18310
+2019,4710,2804,11555,15812,216072,6144,28052,30514,8949,2820,1224,46212,10225,19582
diff --git a/data/analysis_tables/crimes per district per year.csv b/data/analysis_tables/crimes per district per year.csv
new file mode 100644
index 00000000..39e5f5e5
--- /dev/null
+++ b/data/analysis_tables/crimes per district per year.csv	
@@ -0,0 +1,97 @@
+Year,Corrected_District,Total_Crimes_Per_District_Year
+2012,Mitte,92532
+2012,Neukoelln,62764
+2012,Friedrichshain-Kreuzberg,59933
+2012,Charlottenburg-Wilmersdorf,58915
+2012,Pankow,58649
+2012,Reinickendorf,56520
+2012,Tempelhof-Schoeneberg,45511
+2012,Spandau,33287
+2012,Lichtenberg,33247
+2012,Steglitz-Zehlendorf,31061
+2012,Treptow-Koepenick,30638
+2012,Marzahn-Hellersdorf,30344
+2013,Mitte,93596
+2013,Friedrichshain-Kreuzberg,63141
+2013,Neukoelln,61895
+2013,Charlottenburg-Wilmersdorf,61028
+2013,Pankow,59273
+2013,Reinickendorf,54173
+2013,Tempelhof-Schoeneberg,46640
+2013,Steglitz-Zehlendorf,33764
+2013,Spandau,33542
+2013,Lichtenberg,32538
+2013,Treptow-Koepenick,32304
+2013,Marzahn-Hellersdorf,30150
+2014,Mitte,93661
+2014,Friedrichshain-Kreuzberg,69986
+2014,Charlottenburg-Wilmersdorf,61517
+2014,Neukoelln,61092
+2014,Pankow,60189
+2014,Reinickendorf,54194
+2014,Tempelhof-Schoeneberg,47236
+2014,Treptow-Koepenick,32817
+2014,Lichtenberg,32253
+2014,Spandau,32103
+2014,Steglitz-Zehlendorf,31895
+2014,Marzahn-Hellersdorf,28386
+2015,Mitte,98886
+2015,Friedrichshain-Kreuzberg,77366
+2015,Pankow,67468
+2015,Charlottenburg-Wilmersdorf,65202
+2015,Neukoelln,64028
+2015,Reinickendorf,55028
+2015,Tempelhof-Schoeneberg,48250
+2015,Lichtenberg,32488
+2015,Spandau,32234
+2015,Treptow-Koepenick,31807
+2015,Steglitz-Zehlendorf,31759
+2015,Marzahn-Hellersdorf,28662
+2016,Mitte,106201
+2016,Friedrichshain-Kreuzberg,73492
+2016,Neukoelln,65181
+2016,Pankow,63824
+2016,Charlottenburg-Wilmersdorf,62679
+2016,Reinickendorf,56551
+2016,Tempelhof-Schoeneberg,49352
+2016,Lichtenberg,36295
+2016,Treptow-Koepenick,34160
+2016,Steglitz-Zehlendorf,33160
+2016,Spandau,32607
+2016,Marzahn-Hellersdorf,30463
+2017,Mitte,97458
+2017,Friedrichshain-Kreuzberg,64502
+2017,Neukoelln,62241
+2017,Charlottenburg-Wilmersdorf,59571
+2017,Pankow,56790
+2017,Reinickendorf,49624
+2017,Tempelhof-Schoeneberg,45694
+2017,Treptow-Koepenick,33422
+2017,Lichtenberg,33111
+2017,Spandau,31505
+2017,Marzahn-Hellersdorf,30073
+2017,Steglitz-Zehlendorf,28871
+2018,Mitte,89611
+2018,Friedrichshain-Kreuzberg,63889
+2018,Neukoelln,60483
+2018,Charlottenburg-Wilmersdorf,58969
+2018,Pankow,52448
+2018,Tempelhof-Schoeneberg,50042
+2018,Reinickendorf,47915
+2018,Treptow-Koepenick,32955
+2018,Lichtenberg,32909
+2018,Spandau,31486
+2018,Steglitz-Zehlendorf,29414
+2018,Marzahn-Hellersdorf,27367
+2019,Mitte,85372
+2019,Friedrichshain-Kreuzberg,67089
+2019,Neukoelln,61073
+2019,Charlottenburg-Wilmersdorf,54681
+2019,Pankow,52836
+2019,Tempelhof-Schoeneberg,44995
+2019,Reinickendorf,44192
+2019,Treptow-Koepenick,32815
+2019,Lichtenberg,32595
+2019,Steglitz-Zehlendorf,29163
+2019,Spandau,28033
+2019,Marzahn-Hellersdorf,26530
diff --git a/data/analysis_tables/hypothesis 4 verification.csv b/data/analysis_tables/hypothesis 4 verification.csv
new file mode 100644
index 00000000..be6fc490
--- /dev/null
+++ b/data/analysis_tables/hypothesis 4 verification.csv	
@@ -0,0 +1,13 @@
+district,District_Population,Age_18_27_Total,Age_18_27_Proportion_Percent,Total_Drugs_Offenses,Drugs_Rate_Per_1K_Total_Pop
+Friedrichshain-Kreuzberg,283887,31239,11,31683,111.6
+Mitte,377941,51273,13.57,26445,69.97
+Reinickendorf,263494,26166,9.93,11634,44.15
+Neukoelln,329233,35232,10.7,14188,43.09
+Tempelhof-Schoeneberg,348739,35090,10.06,8965,25.71
+Charlottenburg-Wilmersdorf,338717,33511,9.89,8425,24.87
+Spandau,242137,25190,10.4,4207,17.37
+Treptow-Koepenick,264993,21472,8.1,3861,14.57
+Pankow,402289,31804,7.91,5330,13.25
+Lichtenberg,286242,27121,9.47,3559,12.43
+Marzahn-Hellersdorf,266681,21335,8,3086,11.57
+Steglitz-Zehlendorf,306576,28139,9.18,3116,10.16
diff --git a/data/analysis_tables/hypothesis 5 verification.csv b/data/analysis_tables/hypothesis 5 verification.csv
new file mode 100644
index 00000000..24cd3037
--- /dev/null
+++ b/data/analysis_tables/hypothesis 5 verification.csv	
@@ -0,0 +1,9 @@
+year,Total_Car_Offenses,Overall_Total_Population,Car_Theft_Rate_Per_100K
+2012,6151,3710929,165.75364282097556
+2013,7013,3710929,188.9823276058367
+2014,7035,3710929,189.5751710690234
+2015,7034,3710929,189.54822363887857
+2016,7784,3710929,209.75879624751644
+2017,7028,3710929,189.38653905800945
+2018,6070,3710929,163.57090097924265
+2019,6138,3710929,165.4033262290925
diff --git a/data/analysis_tables/most common crimes in alexanderplatz in 2019.csv b/data/analysis_tables/most common crimes in alexanderplatz in 2019.csv
new file mode 100644
index 00000000..596ddc7b
--- /dev/null
+++ b/data/analysis_tables/most common crimes in alexanderplatz in 2019.csv	
@@ -0,0 +1,17 @@
+crime_type,total_count
+theft,11233
+local,3813
+injury,1966
+damage,1307
+drugs,1133
+bike,940
+from_car,587
+agg_assault,500
+threat,420
+graffiti,381
+robbery,173
+burglary,137
+street_robbery,102
+car,63
+fire,43
+arson,12
diff --git a/data/analysis_tables/most dangerous location per year.csv b/data/analysis_tables/most dangerous location per year.csv
new file mode 100644
index 00000000..7fa720b6
--- /dev/null
+++ b/data/analysis_tables/most dangerous location per year.csv	
@@ -0,0 +1,170 @@
+location,2012,2013,2014,2015,2016,2017,2018,2019
+alexanderplatz,19314,20167,20068,21809,21931,20861,19391,22810
+tempelhofer_vorstadt,12729,12191,12453,13597,13273,12385,13082,13931
+frankfurter_allee_south_fk,10117,11138,12420,13861,12256,10806,10787,12519
+schoeneberg-north,9883,10523,10347,11207,10810,11021,13495,10629
+tempelhof,9211,9044,9569,9285,9808,9073,9464,10218
+neukoellner_central,10014,9828,9538,9797,9873,9952,9301,10045
+central,10014,9828,9538,9797,9873,9952,9301,10045
+suedliche_friedrichstadt,8433,8755,9276,10124,11076,9821,9053,9714
+wedding_central,10905,10551,10675,10482,11037,9991,9157,8852
+karl-marx-allee-south,6073,6484,6935,7244,7346,6860,7177,8608
+reuterstrasse,7081,6813,6719,7429,7458,7184,7140,8577
+moabit_east,6282,6535,8158,9527,8565,8988,7954,8353
+kurfuerstendamm,8955,8691,9275,10118,8482,7908,8428,7931
+schoeneberg-south,7018,7424,7331,7878,7647,7547,8449,7848
+suedliche_luisenstadt,5509,7085,7762,8985,6919,5970,6141,7637
+brunnenstrasse_north,7525,8034,7974,7040,7471,7487,6911,7270
+parkviertel,8257,7948,8038,8156,8706,7556,7256,7197
+regierungsviertel,6046,6735,7153,8157,8719,7470,6860,7064
+moabit_west,6960,6810,6750,7113,8571,7645,6909,6889
+osloer_strasse,8690,8427,8658,8313,8640,6916,6804,6728
+rixdorf,6419,6496,6572,6826,6537,6453,5998,6626
+noerdliche_luisenstadt,5793,6644,7227,7987,7469,6356,5682,6242
+britz,5681,5768,5957,5771,6329,6146,5782,5987
+spandau_central,6793,7072,7285,6930,6595,6286,6301,5829
+wilhelmstadt,5551,5819,5529,5096,6027,6502,6287,5606
+schillerpromenade,7910,7475,5943,6430,6445,6427,6195,5567
+marzahn-central,6269,6085,5432,5586,6281,6555,5270,5486
+alt-lichtenberg,4654,4658,4833,4965,6076,5494,5265,5470
+tiergarten_south,5333,5610,5510,5740,5235,5884,5815,5169
+otto-suhr-allee,5490,5430,5547,5625,5958,5559,5496,5158
+frankfurter_allee_north,4078,4437,5121,5178,5493,4753,4651,5097
+mariendorf,5087,5384,4981,4737,5085,4534,4716,5086
+prenzlauer_berg_east,4528,4641,5089,5789,5729,4837,4732,4961
+friedenau,5164,5798,5752,5300,5816,5092,4865,4937
+hellersdorf-north,5243,5321,5170,5068,5194,4797,4523,4922
+volkspark_wilmersdorf,4130,4158,4549,4734,4496,4407,4529,4726
+brunnenstrasse_south,4712,5349,4823,4995,5500,5218,4276,4594
+gropiusstadt,4724,4298,4394,4999,4806,4158,4761,4572
+neu_lichtenberg,3627,3569,3962,3946,4180,3928,4236,4510
+zehlendorf_north,4945,5134,5466,5694,5580,4515,4157,4502
+westend,4081,4458,5140,5215,5309,4841,4493,4443
+weissensee,4180,4345,4144,5627,4754,4018,3745,4435
+schlossstr.,4204,4742,4025,4263,4426,4047,3718,4358
+kantstrasse,4734,5070,5032,5678,5342,4734,4502,4315
+duesseldorfer_strasse,4456,4714,4587,5124,4679,4530,5168,4311
+albrechtstr.,4327,4432,4151,3890,4218,3739,3936,4256
+marzahn-south,3938,4193,3790,4257,4871,4484,3692,4121
+prenzlauer_berg_southwest,5128,4991,5077,5533,5631,4696,4164,4050
+pankow_central,4689,4788,4702,5024,4600,4404,4223,3903
+drakestr.,3962,4313,3750,4109,4342,3347,4265,3777
+mv_1_-_maerkisches_viertel,5593,5799,5691,5510,5049,4333,3721,3770
+prenzlauer_berg_north,3845,4038,4246,5394,4563,3873,3389,3714
+lankwitz,3328,3845,3354,2924,3320,2994,3563,3653
+oberschoeneweide,2713,3322,2818,2806,3073,3167,2980,3633
+west_4_-_auguste-viktoria-allee,3855,3764,4272,4145,3910,3661,3621,3614
+prenzlauer_berg_northwest,4292,4054,4434,4997,5345,4336,3814,3569
+alt-treptow,2352,2361,2726,2824,2671,3116,2837,3531
+east_2_-_alt-reinickendorf,3985,3961,4227,4083,4056,3560,3698,3529
+falkenhagener_feld,4058,3963,3894,4020,3955,3493,3514,3455
+north_2_-_waidmannslust,3863,3882,3915,3921,4233,3675,3521,3438
+wittenau,3863,3882,3915,3921,4233,3675,3521,3438
+luebars,3863,3882,3915,3921,4233,3675,3521,3438
+charlottenburg-north,3234,3475,3587,3230,3784,3484,3198,3382
+lichtenrade,3987,3773,3607,3644,4035,3126,3502,3362
+neue_kantstrasse,3199,3827,3852,4040,3653,3955,3622,3294
+prenzlauer_berg_south,3684,3943,3965,5202,4170,3663,2993,3248
+pankow_south,3268,3243,3534,3685,3551,3325,3094,3224
+karl-marx-allee-north,3273,3203,3428,3290,3814,3161,2886,3179
+fennpfuhl,3613,3214,3437,3505,4161,3434,3249,3161
+rudow,3452,3557,3259,3585,3927,3370,3117,3042
+east_1_-_reginhardstr.,3864,3774,4080,3659,4184,3258,2987,3032
+heerstrasse_north,3695,3648,3249,3235,3584,3368,2974,3003
+teltower_damm,3158,3430,3444,3375,3500,2874,2882,2971
+koellnische_heide,3194,3577,3206,3302,3446,2758,3133,2963
+alt-hohenschoenhausen_south,3260,3489,3304,3582,3561,2929,2658,2916
+west_1_-_tegel-south,3921,3210,2025,2182,2725,2694,2539,2896
+flughafensee,3921,3210,2025,2182,2725,2694,2539,2896
+zehlendorf_southwest,2519,3084,3058,2821,2485,2626,2449,2774
+neu-hohenschoenhausen_south,2950,2744,2693,2454,2753,2709,2966,2744
+marienfelde,3253,3124,3027,2799,2741,2739,2701,2715
+ostpreussendamm,2992,3270,3251,2953,3189,2813,2784,2706
+schloss_charlottenburg,3047,3097,3136,3061,3018,3065,2933,2658
+niederschoeneweide,1990,1960,2052,1978,2038,2506,2560,2552
+marzahn-north,3031,2928,2597,2320,2579,2643,2607,2528
+helmholtzplatz,3045,2970,3232,4469,3493,3726,2673,2527
+halensee,2269,2452,2280,2765,2283,2103,2303,2505
+biesdorf,2524,2757,2495,2742,2575,2646,2369,2485
+adlershof,2209,2111,2327,2204,2697,2443,2767,2473
+friedrichsfelde_south,2123,2066,2013,1884,2303,2109,2099,2426
+buckow,2265,2084,1867,2174,2040,1664,1978,2342
+grunewald,2169,2363,2368,2399,2147,2105,2179,2333
+neu-hohenschoenhausen_north,2801,2616,2309,2395,2310,2319,2537,2303
+north_1_-_frohnau,2751,2950,2720,2544,2565,2408,2597,2205
+hermsdorf,2751,2950,2720,2544,2565,2408,2597,2205
+buch,2350,2086,1897,2347,2264,1985,1785,2187
+hakenfelde,2598,2650,1890,2254,2334,2014,2282,2187
+alt-hohenschoenhausen_north,1748,1888,1533,1957,1977,1797,1890,2181
+brunsbuetteler_damm,1985,2227,1925,2061,2033,2096,2075,2157
+mierendorffplatz,2346,2257,2121,2231,2088,2366,2037,2131
+altglienicke,1653,1853,1843,1740,2183,2051,2000,2066
+hellersdorf-south,2352,2393,2284,2122,2445,2350,2643,2036
+hellersdorf-east,2445,1974,2067,2127,2469,2073,1961,2012
+dammvorstadt,1389,1847,1742,1931,1725,1676,1579,2005
+heerstrasse,1822,1834,1966,2118,1640,1728,1863,1964
+baumschulenweg,1897,1840,2064,2008,2147,2128,2061,1928
+west_5_-_tegel,2437,2066,2083,2251,2365,2090,2115,1890
+tegeler_forst,2437,2066,2083,2251,2365,2090,2115,1890
+blankenfelde,2082,2331,1895,1837,2050,1748,1913,1859
+niederschoenhausen,2082,2331,1895,1837,2050,1748,1913,1859
+barstrasse,1863,2138,2005,2243,1866,1981,1952,1808
+karlshorst,1745,2134,2010,2012,2317,2171,1810,1786
+frankfurter_allee_south,1337,1523,1732,1581,1782,1983,1937,1777
+weissensee_east,1630,1685,1672,1835,1770,1673,1471,1771
+wiesbadener_strasse,1505,1701,1497,1668,1685,1319,1436,1763
+haselhorst,2758,2559,2017,2245,2061,1870,1929,1745
+siemensstadt,1945,1992,2392,2045,1832,1906,1958,1729
+friedrichsfelde_north,1922,1784,1705,1457,1547,1471,1444,1720
+blankenburg,1744,1736,1645,1585,1534,1460,1512,1711
+heinersdorf,1744,1736,1645,1585,1534,1460,1512,1711
+maerchenland,1744,1736,1645,1585,1534,1460,1512,1711
+johannisthal,1470,1637,1446,1436,1808,1723,1721,1701
+schmargendorf,1681,1778,1419,1559,1458,1177,1284,1581
+friedrichshagen,1293,1379,1875,1573,1664,1502,1519,1575
+mahlsdorf,1732,1711,2176,1521,1457,1502,1577,1411
+schoenholz,1528,1383,1404,1307,1226,1135,1135,1380
+wilhelmsruh,1528,1383,1404,1307,1226,1135,1135,1380
+rosenthal,1528,1383,1404,1307,1226,1135,1135,1380
+kaulsdorf,1370,1336,1401,1311,1290,1439,1339,1363
+plaenterwald,1307,1486,1596,1497,1482,1345,1092,1259
+west_3_-_borsigwalde,1780,1571,1498,1524,1680,1381,1403,1227
+freie_scholle,1780,1571,1498,1524,1680,1381,1403,1227
+bohnsdorf,856,955,950,970,1160,1170,1121,1205
+koellnische_vorstadt,1270,1359,1166,995,1124,1063,1083,1204
+spindlersfeld,1270,1359,1166,995,1124,1063,1083,1204
+west_2_-_heiligensee,1886,1850,1529,1489,1249,1101,1101,1100
+konradshoehe,1886,1850,1529,1489,1249,1101,1101,1100
+gatow,1136,1154,1068,1253,1182,1092,1089,1099
+kladow,1136,1154,1068,1253,1182,1092,1089,1099
+karow,1178,1187,998,1066,1003,1070,1161,1045
+buckow_north,934,1131,1113,1022,1271,1143,1045,1001
+mv_2_-_rollbergsiedlung,1104,1183,1049,1476,1401,1027,943,993
+buchholz,1104,1149,1048,888,1051,887,885,949
+allende-viertel,531,501,598,520,463,448,454,945
+koepenick-north,677,777,939,942,880,733,836,891
+rummelsburger_bucht,561,483,642,520,622,611,676,889
+altstadt-kietz,784,779,802,801,934,804,832,818
+gruenau,650,567,752,668,714,823,775,798
+rahnsdorf,653,802,789,781,789,729,629,636
+hessenwinkel,653,802,789,781,789,729,629,636
+koepenick-south,1044,1063,1248,1100,1067,905,1042,564
+mueggelheim,309,264,247,304,312,253,265,302
+malchow,419,472,413,332,407,289,322,280
+wartenberg_und_falkenberg,419,472,413,332,407,289,322,280
+bezirk_(mi),4254,3715,2927,3777,5913,4721,4139,223
+schmoeckwitz,308,386,348,319,240,203,202,217
+karolinenhof,308,386,348,319,240,203,202,217
+rauchfangswerder,308,386,348,319,240,203,202,217
+forst_grunewald,210,187,102,124,159,89,140,194
+bezirk_(nk),538,520,1493,1448,1588,1517,1366,153
+bezirk_(rd),490,376,1710,2206,2042,1706,1436,152
+bezirk_(pk),874,1067,1607,1631,1760,1508,1276,131
+bezirk_(tp-kp),1372,1061,919,998,1298,1218,1242,119
+bezirk_(th-sb),954,785,1311,1700,1705,1281,1425,100
+bezirk_(ch-wi),1862,1699,1527,1635,2316,2110,1703,92
+bezirk_(st-zd),813,757,698,865,1050,958,830,83
+bezirk_(mz-hd),720,726,487,804,651,792,693,83
+bezirk_(fh-kb),1964,1602,2682,3550,2923,2195,2215,81
+bezirk_(lb),1034,713,627,783,946,789,749,76
+bezirk_(sp),816,652,893,921,911,893,994,62
diff --git a/data/analysis_tables/most dangerous location.csv b/data/analysis_tables/most dangerous location.csv
new file mode 100644
index 00000000..1d6bbd6a
--- /dev/null
+++ b/data/analysis_tables/most dangerous location.csv	
@@ -0,0 +1,170 @@
+location,total_crimes
+alexanderplatz,166351
+tempelhofer_vorstadt,103641
+frankfurter_allee_south_fk,93904
+schoeneberg-north,87915
+wedding_central,81650
+neukoellner_central,78348
+central,78348
+suedliche_friedrichstadt,76252
+tempelhof,75672
+kurfuerstendamm,69788
+moabit_east,64362
+osloer_strasse,63176
+parkviertel,63114
+schoeneberg-south,61142
+brunnenstrasse_north,59712
+reuterstrasse,58401
+regierungsviertel,58204
+moabit_west,57647
+karl-marx-allee-south,56727
+suedliche_luisenstadt,56008
+noerdliche_luisenstadt,53400
+spandau_central,53091
+schillerpromenade,52392
+rixdorf,51927
+britz,47421
+marzahn-central,46964
+wilhelmstadt,46417
+tiergarten_south,44296
+otto-suhr-allee,44263
+friedenau,42724
+alt-lichtenberg,41415
+prenzlauer_berg_east,40306
+hellersdorf-north,40238
+zehlendorf_north,39993
+mariendorf,39610
+brunnenstrasse_south,39467
+mv_1_-_maerkisches_viertel,39466
+kantstrasse,39407
+prenzlauer_berg_southwest,39270
+frankfurter_allee_north,38808
+westend,37980
+duesseldorfer_strasse,37569
+gropiusstadt,36712
+pankow_central,36333
+volkspark_wilmersdorf,35729
+weissensee,35248
+prenzlauer_berg_northwest,34841
+schlossstr.,33783
+marzahn-south,33346
+prenzlauer_berg_north,33062
+albrechtstr.,32949
+neu_lichtenberg,31958
+drakestr.,31865
+east_2_-_alt-reinickendorf,31099
+prenzlauer_berg_south,30868
+west_4_-_auguste-viktoria-allee,30842
+north_2_-_waidmannslust,30448
+wittenau,30448
+luebars,30448
+falkenhagener_feld,30352
+bezirk_(mi),29669
+neue_kantstrasse,29442
+lichtenrade,29036
+east_1_-_reginhardstr.,28838
+fennpfuhl,27774
+charlottenburg-north,27374
+rudow,27309
+lankwitz,26981
+pankow_south,26924
+heerstrasse_north,26756
+karl-marx-allee-north,26234
+helmholtzplatz,26135
+alt-hohenschoenhausen_south,25699
+teltower_damm,25634
+koellnische_heide,25579
+oberschoeneweide,24512
+schloss_charlottenburg,24015
+ostpreussendamm,23958
+marienfelde,23099
+alt-treptow,22418
+west_1_-_tegel-south,22192
+flughafensee,22192
+neu-hohenschoenhausen_south,22013
+zehlendorf_southwest,21816
+marzahn-north,21233
+north_1_-_frohnau,20740
+hermsdorf,20740
+biesdorf,20593
+neu-hohenschoenhausen_north,19590
+adlershof,19231
+halensee,18960
+hellersdorf-south,18625
+hakenfelde,18209
+grunewald,18063
+niederschoeneweide,17636
+mierendorffplatz,17577
+west_5_-_tegel,17297
+tegeler_forst,17297
+bezirk_(fh-kb),17212
+haselhorst,17184
+hellersdorf-east,17128
+friedrichsfelde_south,17023
+buch,16901
+brunsbuetteler_damm,16559
+buckow,16414
+baumschulenweg,16073
+karlshorst,15985
+barstrasse,15856
+siemensstadt,15799
+blankenfelde,15715
+niederschoenhausen,15715
+altglienicke,15389
+alt-hohenschoenhausen_north,14971
+heerstrasse,14935
+dammvorstadt,13894
+frankfurter_allee_south,13652
+weissensee_east,13507
+mahlsdorf,13087
+friedrichsfelde_north,13050
+bezirk_(ch-wi),12944
+johannisthal,12942
+blankenburg,12927
+heinersdorf,12927
+maerchenland,12927
+wiesbadener_strasse,12574
+friedrichshagen,12380
+west_3_-_borsigwalde,12064
+freie_scholle,12064
+schmargendorf,11937
+west_2_-_heiligensee,11305
+konradshoehe,11305
+plaenterwald,11064
+kaulsdorf,10849
+schoenholz,10498
+wilhelmsruh,10498
+rosenthal,10498
+bezirk_(rd),10118
+bezirk_(pk),9854
+koellnische_vorstadt,9264
+spindlersfeld,9264
+bezirk_(th-sb),9261
+mv_2_-_rollbergsiedlung,9176
+gatow,9073
+kladow,9073
+karow,8708
+buckow_north,8660
+bezirk_(nk),8623
+bohnsdorf,8387
+bezirk_(tp-kp),8227
+koepenick-south,8033
+buchholz,7961
+koepenick-north,6675
+altstadt-kietz,6554
+bezirk_(sp),6142
+bezirk_(st-zd),6054
+rahnsdorf,5808
+hessenwinkel,5808
+gruenau,5747
+bezirk_(lb),5717
+rummelsburger_bucht,5004
+bezirk_(mz-hd),4956
+allende-viertel,4460
+malchow,2934
+wartenberg_und_falkenberg,2934
+mueggelheim,2256
+schmoeckwitz,2223
+karolinenhof,2223
+rauchfangswerder,2223
+forst_grunewald,1205
diff --git a/data/clean/berlin_crimes_cleaned.csv b/data/clean/berlin_crimes_cleaned.csv
new file mode 100644
index 00000000..56969a20
--- /dev/null
+++ b/data/clean/berlin_crimes_cleaned.csv
@@ -0,0 +1,1201 @@
+Year,District,Code,Location,Robbery,Street_robbery,Injury,Agg_assault,Threat,Theft,Car,From_car,Bike,Burglary,Fire,Arson,Damage,Graffiti,Drugs,Local
+2012,Mitte,10111,Tiergarten Süd,70,46,586,194,118,2263,18,328,120,68,16,4,273,26,171,1032
+2012,Mitte,10112,Regierungsviertel,65,29,474,123,142,3203,10,307,170,37,10,4,380,124,98,870
+2012,Mitte,10113,Alexanderplatz,242,136,1541,454,304,8988,81,792,822,275,49,27,1538,522,435,3108
+2012,Mitte,10114,Brunnenstraße Süd,52,25,254,60,66,1916,86,192,396,131,14,5,428,122,213,752
+2012,Mitte,10221,Moabit West,130,51,629,185,199,2470,94,410,325,161,42,22,516,64,259,1403
+2012,Mitte,10222,Moabit Ost,89,45,549,147,204,2290,63,353,337,90,33,10,392,52,416,1212
+2012,Mitte,10331,Osloer Straße,120,46,785,223,267,3666,52,429,280,226,40,18,521,72,246,1699
+2012,Mitte,10332,Brunnenstraße Nord,145,71,675,192,191,2928,76,473,218,252,36,7,495,72,162,1532
+2012,Mitte,10441,Parkviertel,109,48,783,211,318,2879,77,564,365,157,55,20,568,65,244,1794
+2012,Mitte,10442,Wedding Zentrum,216,104,1210,426,384,3396,57,424,294,298,54,23,806,87,570,2556
+2012,Mitte,19900,"Bezirk (Mi), Nicht Zuzuordnen",15,9,435,147,49,2487,6,45,31,0,5,0,263,140,35,587
+2012,Friedrichshain-Kreuzberg,20101,Südliche Friedrichstadt,138,71,723,222,263,2928,52,500,321,219,46,13,700,102,351,1784
+2012,Friedrichshain-Kreuzberg,20202,Tempelhofer Vorstadt,180,88,932,274,241,5170,90,595,913,390,58,21,915,194,397,2271
+2012,Friedrichshain-Kreuzberg,20303,Nördliche Luisenstadt,112,70,504,153,126,2330,24,186,311,115,31,10,456,82,168,1115
+2012,Friedrichshain-Kreuzberg,20304,Südliche Luisenstadt,109,82,395,138,101,1932,35,226,347,150,27,11,441,129,423,963
+2012,Friedrichshain-Kreuzberg,20405,Karl-Marx-Allee-Nord,58,34,235,61,55,1242,71,206,185,56,15,5,356,46,23,625
+2012,Friedrichshain-Kreuzberg,20407,Karl-Marx-Allee-Süd,86,57,471,123,105,2725,46,242,299,59,22,7,537,87,167,1040
+2012,Friedrichshain-Kreuzberg,20506,Frankfurter Allee Nord,34,16,265,83,80,1528,55,117,286,59,48,15,534,84,50,824
+2012,Friedrichshain-Kreuzberg,20508,Frankfurter Allee Süd Fk,140,80,865,276,159,3588,62,291,616,166,67,22,1171,272,256,2086
+2012,Friedrichshain-Kreuzberg,29900,"Bezirk (Fh-Kb), Nicht Zuzuordnen",11,6,223,53,23,607,1,17,7,0,0,1,389,315,18,293
+2012,Pankow,30101,Buch,16,6,154,45,48,1035,32,190,199,21,18,6,191,35,31,323
+2012,Pankow,30202,Blankenfelde/Niederschönhausen,12,4,136,27,54,782,37,179,148,69,26,14,215,31,11,337
+2012,Pankow,30203,Buchholz,9,3,71,13,38,456,21,69,56,38,10,1,114,7,16,182
+2012,Pankow,30304,Karow,3,1,44,6,32,481,11,85,183,19,10,6,118,24,4,151
+2012,Pankow,30307,Blankenburg/Heinersdorf/Märchenland,7,1,74,9,21,898,14,160,149,55,12,4,154,9,16,161
+2012,Pankow,30405,Schönholz/Wilhelmsruh/Rosenthal,23,10,79,24,26,599,17,138,111,82,7,1,143,19,20,229
+2012,Pankow,30406,Pankow Zentrum,33,11,212,62,83,2089,60,220,511,61,13,5,382,101,35,811
+2012,Pankow,30408,Pankow Süd,21,9,204,35,67,1235,56,170,388,50,10,7,298,78,24,616
+2012,Pankow,30509,Weißensee,34,15,308,78,99,1537,46,192,219,93,18,11,486,152,54,838
+2012,Pankow,30510,Weißensee Ost,20,8,103,23,50,610,20,105,74,23,4,1,205,32,18,334
+2012,Pankow,30611,Prenzlauer Berg Nordwest,80,32,228,68,83,1716,95,176,406,78,19,8,339,113,85,766
+2012,Pankow,30612,Prenzlauer Berg Nord,30,10,159,33,60,1870,86,146,407,67,5,0,282,75,33,582
+2012,Pankow,30613,Helmholtzplatz,23,6,189,47,52,1215,41,74,283,99,9,3,261,100,29,614
+2012,Pankow,30614,Prenzlauer Berg Ost,60,28,240,72,79,2063,57,216,289,61,19,9,439,131,51,714
+2012,Pankow,30715,Prenzlauer Berg Südwest,18,12,344,92,71,2016,52,223,381,149,10,2,536,192,34,996
+2012,Pankow,30716,Prenzlauer Berg Süd,16,6,166,30,81,1393,116,186,326,127,15,4,409,84,53,672
+2012,Pankow,39900,"Bezirk (Pk), Nicht Zuzuordnen",5,4,79,23,19,315,9,24,9,0,2,1,150,111,8,115
+2012,Charlottenburg-Wilmersdorf,40101,Charlottenburg-Nord,41,14,278,73,129,1006,70,304,60,99,9,2,245,5,159,740
+2012,Charlottenburg-Wilmersdorf,40202,Heerstrasse,21,9,213,93,36,579,37,155,58,51,7,2,141,36,31,353
+2012,Charlottenburg-Wilmersdorf,40203,Westend,40,12,207,48,117,1974,57,282,170,112,7,2,317,36,38,662
+2012,Charlottenburg-Wilmersdorf,40304,Schloß Charlottenburg,41,12,243,55,90,1140,31,133,288,88,9,3,231,23,44,616
+2012,Charlottenburg-Wilmersdorf,40305,Mierendorffplatz,32,12,165,46,61,893,31,211,148,38,12,5,150,18,111,413
+2012,Charlottenburg-Wilmersdorf,40306,Otto-Suhr-Allee,53,15,421,113,128,2273,37,292,429,113,15,6,436,95,112,952
+2012,Charlottenburg-Wilmersdorf,40307,Neue Kantstraße,43,23,164,39,86,1283,65,254,298,105,8,2,169,20,80,560
+2012,Charlottenburg-Wilmersdorf,40308,Kantstraße,65,23,251,65,112,2565,24,188,248,116,9,3,234,22,118,691
+2012,Charlottenburg-Wilmersdorf,40309,Kurfürstendamm,135,59,1083,361,159,4140,54,302,197,94,7,1,405,95,178,1685
+2012,Charlottenburg-Wilmersdorf,40310,Halensee,19,8,137,29,62,949,42,188,156,77,8,3,149,23,26,393
+2012,Charlottenburg-Wilmersdorf,40411,Grunewald,10,5,98,11,58,867,32,268,84,194,4,0,128,14,5,391
+2012,Charlottenburg-Wilmersdorf,40412,Schmargendorf,5,1,82,18,41,731,31,224,77,86,3,1,104,12,10,255
+2012,Charlottenburg-Wilmersdorf,40413,Wiesbadener Straße,12,4,64,12,34,642,30,125,129,54,1,1,143,21,9,224
+2012,Charlottenburg-Wilmersdorf,40514,Düsseldorfer Straße,41,18,241,67,117,1779,68,362,301,158,14,6,376,113,54,741
+2012,Charlottenburg-Wilmersdorf,40515,Barstraße,19,10,110,33,43,774,23,160,142,44,6,3,151,29,14,302
+2012,Charlottenburg-Wilmersdorf,40516,Volkspark Wilmersdorf,64,23,252,67,110,1656,67,241,378,114,10,4,303,66,63,712
+2012,Charlottenburg-Wilmersdorf,40617,Forst Grunewald,1,0,10,3,4,94,1,56,5,0,2,1,11,1,0,21
+2012,Charlottenburg-Wilmersdorf,49900,"Bezirk (Ch-Wi), Nicht Zuzuordnen",1,0,205,62,40,716,7,25,5,1,2,0,282,218,12,286
+2012,Spandau,50101,Hakenfelde,17,3,225,49,86,930,20,192,80,54,6,3,239,15,28,651
+2012,Spandau,50102,Falkenhagener Feld,40,14,432,113,181,1157,31,167,115,73,28,11,430,46,54,1166
+2012,Spandau,50103,Spandau Mitte,108,52,692,192,258,2371,30,201,279,68,26,7,593,103,206,1607
+2012,Spandau,50204,Brunsbütteler Damm,14,5,172,41,61,772,27,109,64,47,22,3,221,21,11,395
+2012,Spandau,50205,Heerstraße Nord,41,20,399,95,157,1108,36,130,67,91,33,15,427,34,29,1013
+2012,Spandau,50206,Wilhelmstadt,68,25,472,116,177,2158,18,214,235,100,25,10,568,85,89,1191
+2012,Spandau,50307,Haselhorst,36,16,165,35,70,1143,36,208,90,52,10,1,261,21,39,575
+2012,Spandau,50308,Siemensstadt,29,7,168,36,63,739,30,111,84,39,8,4,167,30,25,405
+2012,Spandau,50409,Gatow/Kladow,5,1,76,15,25,435,24,129,34,65,13,5,131,20,0,158
+2012,Spandau,59900,"Bezirk (Sp), Nicht Zuzuordnen",1,0,47,8,12,271,1,9,10,0,4,2,220,167,0,64
+2012,Steglitz-Zehlendorf,60101,Schloßstr.,61,28,217,50,51,2375,29,227,184,79,11,1,255,57,50,529
+2012,Steglitz-Zehlendorf,60102,Albrechtstr.,57,20,258,29,161,1581,88,347,202,136,14,8,439,111,44,832
+2012,Steglitz-Zehlendorf,60203,Lankwitz,36,15,268,51,161,1084,45,200,104,89,11,3,383,75,55,748
+2012,Steglitz-Zehlendorf,60204,Ostpreußendamm,17,7,213,59,68,1165,53,244,194,96,13,5,310,37,29,482
+2012,Steglitz-Zehlendorf,60305,Teltower Damm,23,7,151,38,86,1254,36,243,301,103,10,2,339,70,50,445
+2012,Steglitz-Zehlendorf,60306,Drakestr.,18,4,206,33,106,1749,90,312,220,136,15,8,346,61,21,637
+2012,Steglitz-Zehlendorf,60407,Zehlendorf Südwest,27,7,141,21,83,1006,59,269,95,113,21,6,248,26,17,380
+2012,Steglitz-Zehlendorf,60408,Zehlendorf Nord,44,22,259,51,120,1952,62,519,250,208,20,6,538,164,29,701
+2012,Steglitz-Zehlendorf,69900,"Bezirk (St-Zd), Nicht Zuzuordnen",1,0,39,16,13,244,4,15,18,1,0,0,224,171,3,64
+2012,Tempelhof-Schöneberg,70101,Schöneberg-Nord,197,98,772,215,239,4048,53,425,481,292,31,11,729,157,214,1921
+2012,Tempelhof-Schöneberg,70202,Schöneberg-Süd,80,35,510,119,162,2699,62,312,557,219,26,11,545,145,239,1297
+2012,Tempelhof-Schöneberg,70303,Friedenau,44,15,306,66,165,2170,66,329,397,122,22,8,426,107,70,851
+2012,Tempelhof-Schöneberg,70404,Tempelhof,100,36,581,129,351,3645,122,753,352,159,50,20,813,129,291,1680
+2012,Tempelhof-Schöneberg,70505,Mariendorf,57,20,367,79,150,1871,74,508,127,131,29,8,501,75,84,1006
+2012,Tempelhof-Schöneberg,70606,Marienfelde,25,11,252,41,98,1357,62,220,129,52,18,5,276,34,54,619
+2012,Tempelhof-Schöneberg,70707,Lichtenrade,38,24,322,60,114,1267,63,421,118,148,32,6,472,70,87,745
+2012,Tempelhof-Schöneberg,79900,"Bezirk (Th-Sb), Nicht Zuzuordnen",5,2,106,26,22,357,2,5,8,0,0,0,145,105,27,144
+2012,Neukölln,80101,Schillerpromenade,169,84,676,213,252,2400,27,221,177,150,31,18,529,85,913,1965
+2012,Neukölln,80102,Neuköllner Mitte/Zentrum,138,55,944,290,288,4181,41,314,175,201,67,24,821,157,154,2164
+2012,Neukölln,80103,Reuterstraße,108,54,589,181,163,2679,48,264,310,245,24,11,509,97,226,1573
+2012,Neukölln,80104,Rixdorf,113,55,605,198,221,2088,38,316,261,201,32,16,550,80,103,1542
+2012,Neukölln,80105,Köllnische Heide,26,14,251,71,121,1190,49,303,44,60,15,4,315,61,39,631
+2012,Neukölln,80206,Britz,79,49,420,105,168,2132,71,566,169,175,27,12,501,63,65,1079
+2012,Neukölln,80207,Buckow,26,7,206,58,107,634,24,225,45,62,11,3,281,63,14,499
+2012,Neukölln,80308,Gropiusstadt,52,30,350,72,131,1942,25,195,140,67,13,1,525,79,32,1070
+2012,Neukölln,80409,Buckow Nord,14,3,65,11,34,409,11,73,12,46,6,1,64,3,6,176
+2012,Neukölln,80410,Rudow,40,25,206,50,90,1256,58,374,117,181,15,4,405,65,23,543
+2012,Neukölln,89900,"Bezirk (Nk), Nicht Zuzuordnen",2,3,56,23,19,210,2,21,3,0,1,1,58,36,3,100
+2012,Treptow-Köpenick,90101,Alt-Treptow,45,24,136,37,35,1028,15,95,198,53,3,2,193,69,43,376
+2012,Treptow-Köpenick,90102,Plänterwald,10,6,63,18,21,500,20,106,66,34,6,2,171,37,4,243
+2012,Treptow-Köpenick,90103,Baumschulenweg,20,10,113,27,60,619,25,141,81,74,10,4,248,82,37,346
+2012,Treptow-Köpenick,90104,Johannisthal,16,7,95,27,52,537,22,93,42,48,8,2,206,59,11,245
+2012,Treptow-Köpenick,90205,Oberschöneweide,16,5,309,58,78,838,42,147,69,51,20,12,343,58,31,636
+2012,Treptow-Köpenick,90206,Niederschöneweide,29,13,150,31,48,871,12,76,100,19,11,5,200,65,40,320
+2012,Treptow-Köpenick,90207,Adlershof,29,10,133,29,48,961,24,123,164,34,8,6,222,53,20,345
+2012,Treptow-Köpenick,90208,Köllnische Vorstadt/Spindlersfeld,9,2,122,29,30,389,11,44,74,14,15,2,191,56,17,265
+2012,Treptow-Köpenick,90309,Altglienicke,11,6,149,22,73,539,34,108,93,71,9,2,175,36,14,311
+2012,Treptow-Köpenick,90310,Bohnsdorf,2,0,61,11,29,340,18,58,37,27,8,1,93,24,13,134
+2012,Treptow-Köpenick,90311,Grünau,3,0,31,11,11,242,4,65,63,21,2,1,77,32,3,84
+2012,Treptow-Köpenick,90312,Schmöckwitz/Karolinenhof/Rauchfangswerder,0,0,13,3,3,146,2,53,4,14,3,3,31,9,0,24
+2012,Treptow-Köpenick,90413,Köpenick-Süd,2,0,65,9,20,401,18,112,68,12,8,3,135,10,7,174
+2012,Treptow-Köpenick,90414,Allende-Viertel,2,0,37,6,26,194,12,31,36,3,1,0,66,15,2,100
+2012,Treptow-Köpenick,90415,Altstadt-Kietz,4,0,75,15,21,224,5,27,57,5,5,3,123,37,10,173
+2012,Treptow-Köpenick,90416,Müggelheim,1,1,10,0,13,113,7,41,21,8,1,1,46,2,1,43
+2012,Treptow-Köpenick,90517,Friedrichshagen,9,2,64,11,28,516,16,89,172,28,5,1,144,29,6,173
+2012,Treptow-Köpenick,90518,Rahnsdorf/Hessenwinkel,2,1,26,7,8,290,15,51,105,44,2,0,41,3,2,56
+2012,Treptow-Köpenick,90519,Dammvorstadt,7,4,122,30,21,568,9,43,93,12,13,7,148,33,35,244
+2012,Treptow-Köpenick,90520,Köpenick-Nord,5,2,45,9,20,245,4,42,43,33,3,0,88,14,6,118
+2012,Treptow-Köpenick,99900,"Bezirk (Tp-Kp), Nicht Zuzuordnen",3,1,104,36,23,320,2,26,14,0,3,3,376,293,7,161
+2012,Marzahn-Hellersdorf,100101,Marzahn-Nord,35,14,442,89,104,751,34,123,97,31,33,10,353,55,49,811
+2012,Marzahn-Hellersdorf,100102,Marzahn-Mitte,70,30,721,131,204,2109,104,416,145,50,49,20,624,59,77,1460
+2012,Marzahn-Hellersdorf,100103,Marzahn-Süd,55,20,295,61,91,1534,135,372,119,41,37,19,411,81,19,648
+2012,Marzahn-Hellersdorf,100204,Hellersdorf-Nord,68,37,652,143,175,1576,46,230,133,28,57,16,640,173,70,1199
+2012,Marzahn-Hellersdorf,100205,Hellersdorf-Ost,26,11,289,70,101,598,21,89,122,10,30,5,336,86,21,630
+2012,Marzahn-Hellersdorf,100206,Hellersdorf-Süd,20,10,223,44,95,704,35,119,78,26,20,3,322,97,15,541
+2012,Marzahn-Hellersdorf,100307,Biesdorf,20,10,141,31,55,1153,36,213,192,97,9,1,213,45,21,287
+2012,Marzahn-Hellersdorf,100408,Kaulsdorf,21,9,110,15,39,465,17,89,89,77,2,1,150,27,8,251
+2012,Marzahn-Hellersdorf,100409,Mahlsdorf,6,4,89,20,49,607,20,117,89,97,4,2,268,87,23,250
+2012,Marzahn-Hellersdorf,109900,"Bezirk (Mz-Hd), Nicht Zuzuordnen",10,3,90,21,16,217,3,10,11,0,1,0,118,90,5,125
+2012,Lichtenberg,110101,"Malchow, Wartenberg Und Falkenberg",2,1,26,4,20,178,3,21,11,10,11,5,54,13,5,55
+2012,Lichtenberg,110102,Neu-Hohenschönhausen Nord,27,11,328,53,93,826,30,103,152,19,15,7,276,56,40,765
+2012,Lichtenberg,110103,Neu-Hohenschönhausen Süd,30,12,330,84,81,1027,42,128,99,30,20,3,290,35,21,718
+2012,Lichtenberg,110204,Alt-Hohenschönhausen Nord,11,4,134,34,42,770,18,120,40,59,7,3,150,30,12,314
+2012,Lichtenberg,110205,Alt-Hohenschönhausen Süd,26,10,234,48,74,1243,59,266,146,70,12,6,334,72,13,647
+2012,Lichtenberg,110306,Fennpfuhl,26,14,284,77,90,1232,67,243,187,89,17,8,419,90,22,748
+2012,Lichtenberg,110307,Alt-Lichtenberg,25,10,350,81,119,2071,58,328,194,76,26,11,377,75,35,818
+2012,Lichtenberg,110308,Frankfurter Allee Süd,19,6,67,18,16,578,24,96,111,25,6,2,105,12,52,200
+2012,Lichtenberg,110409,Neu Lichtenberg,27,16,284,68,95,1286,53,150,174,83,30,9,428,128,62,734
+2012,Lichtenberg,110410,Friedrichsfelde Nord,22,15,174,43,41,683,30,159,39,38,7,2,202,64,24,379
+2012,Lichtenberg,110411,Friedrichsfelde Süd,28,9,159,34,54,790,41,142,88,60,10,3,225,61,17,402
+2012,Lichtenberg,110512,Rummelsburger Bucht,4,0,18,6,7,227,4,69,48,7,16,6,67,20,2,60
+2012,Lichtenberg,110513,Karlshorst,8,3,95,18,41,694,15,137,124,63,8,2,180,60,24,273
+2012,Lichtenberg,119900,"Bezirk (Lb), Nicht Zuzuordnen",5,1,87,18,16,306,1,17,5,3,2,0,248,180,6,139
+2012,Reinickendorf,121031,Ost 1 - Reginhardstr.,60,21,400,101,169,1119,38,205,179,110,11,4,337,34,137,939
+2012,Reinickendorf,121032,Ost 2 - Alt-Reinickendorf,50,18,290,63,128,1525,37,301,215,79,22,10,324,53,149,721
+2012,Reinickendorf,122141,West 1 - Tegel-Süd/Flughafensee,11,3,271,73,111,1556,36,406,68,105,12,1,285,27,312,644
+2012,Reinickendorf,122144,West 4 - Auguste-Viktoria-Allee,49,19,376,96,169,1353,27,205,107,103,15,8,328,47,86,867
+2012,Reinickendorf,122145,West 5 - Tegel/Tegeler Forst,24,14,233,67,61,1041,9,109,106,32,7,0,219,47,34,434
+2012,Reinickendorf,122242,West 2 - Heiligensee/Konradshöhe,8,3,89,10,64,567,43,175,93,96,11,6,299,114,24,284
+2012,Reinickendorf,122311,Nord 1 - Frohnau/Hermsdorf,20,8,116,30,72,1059,50,293,250,155,7,4,250,57,40,340
+2012,Reinickendorf,123012,Nord 2 - Waidmannslust/Wittenau/Lübars,38,12,332,79,115,1464,30,256,195,110,16,4,356,81,103,672
+2012,Reinickendorf,123021,Mv 1 - Märkisches Viertel,51,21,490,126,199,2013,65,305,173,99,74,18,505,72,76,1306
+2012,Reinickendorf,123022,Mv 2 - Rollbergsiedlung,9,2,103,21,32,429,8,75,30,29,7,1,101,10,18,229
+2012,Reinickendorf,123043,West 3 - Borsigwalde/Freie Scholle,15,9,145,37,59,618,24,123,121,67,5,2,167,20,40,328
+2012,Reinickendorf,129900,"Bezirk (Rd), Nicht Zuzuordnen",2,1,31,10,12,154,2,11,3,0,6,5,124,73,5,51
+2013,Mitte,10111,Tiergarten Süd,88,60,522,148,124,2652,17,392,149,62,14,3,263,28,114,974
+2013,Mitte,10112,Regierungsviertel,53,25,480,120,128,3862,23,337,254,33,5,1,355,130,67,862
+2013,Mitte,10113,Alexanderplatz,237,149,1442,354,333,10165,85,760,926,281,47,20,1301,448,590,3029
+2013,Mitte,10114,Brunnenstraße Süd,41,14,226,51,68,2503,101,244,358,137,8,3,366,134,92,1003
+2013,Mitte,10221,Moabit West,94,47,597,156,231,2441,76,463,336,139,47,12,532,88,209,1342
+2013,Mitte,10222,Moabit Ost,76,37,496,122,181,2536,82,446,353,128,35,16,418,59,362,1188
+2013,Mitte,10331,Osloer Straße,125,64,814,210,253,3540,26,378,279,166,28,8,441,55,366,1674
+2013,Mitte,10332,Brunnenstraße Nord,126,58,667,164,200,3248,102,521,269,196,36,13,454,84,299,1597
+2013,Mitte,10441,Parkviertel,87,38,712,206,269,2924,74,566,290,154,32,16,541,81,236,1722
+2013,Mitte,10442,Wedding Zentrum,160,76,1156,341,382,3307,48,603,319,201,70,25,822,127,526,2388
+2013,Mitte,19900,"Bezirk (Mi), Nicht Zuzuordnen",9,5,403,94,64,2136,4,43,14,0,6,4,251,158,3,521
+2013,Friedrichshain-Kreuzberg,20101,Südliche Friedrichstadt,125,76,693,185,243,3394,57,700,345,186,45,15,639,84,265,1703
+2013,Friedrichshain-Kreuzberg,20202,Tempelhofer Vorstadt,143,81,869,242,282,5097,142,618,935,338,35,14,805,187,352,2051
+2013,Friedrichshain-Kreuzberg,20303,Nördliche Luisenstadt,140,108,556,192,115,2805,38,165,351,103,27,4,510,120,208,1202
+2013,Friedrichshain-Kreuzberg,20304,Südliche Luisenstadt,210,169,562,199,90,2474,66,169,371,119,32,13,468,137,767,1239
+2013,Friedrichshain-Kreuzberg,20405,Karl-Marx-Allee-Nord,31,18,214,63,66,1361,62,189,184,56,14,2,255,27,27,634
+2013,Friedrichshain-Kreuzberg,20407,Karl-Marx-Allee-Süd,87,62,492,144,107,2844,53,304,267,68,15,3,530,117,219,1172
+2013,Friedrichshain-Kreuzberg,20506,Frankfurter Allee Nord,33,19,298,71,77,1769,82,150,395,76,33,13,440,55,64,862
+2013,Friedrichshain-Kreuzberg,20508,Frankfurter Allee Süd Fk,124,80,897,297,156,4070,96,333,660,144,61,26,1270,308,468,2148
+2013,Friedrichshain-Kreuzberg,29900,"Bezirk (Fh-Kb), Nicht Zuzuordnen",13,9,211,44,32,660,6,8,7,0,3,0,177,133,21,278
+2013,Pankow,30101,Buch,12,5,119,20,66,858,21,180,143,29,18,9,210,55,33,308
+2013,Pankow,30202,Blankenfelde/Niederschönhausen,16,4,126,28,80,894,35,274,168,62,21,8,180,34,15,386
+2013,Pankow,30203,Buchholz,3,2,75,19,36,483,47,74,45,23,2,0,130,23,8,179
+2013,Pankow,30304,Karow,4,2,106,19,40,449,8,102,101,36,6,3,88,11,6,206
+2013,Pankow,30307,Blankenburg/Heinersdorf/Märchenland,6,1,66,12,38,824,34,217,121,63,10,7,119,7,14,197
+2013,Pankow,30405,Schönholz/Wilhelmsruh/Rosenthal,15,8,60,13,38,604,13,131,126,67,6,3,80,16,10,193
+2013,Pankow,30406,Pankow Zentrum,37,11,221,47,104,2164,45,254,570,102,14,6,337,71,29,776
+2013,Pankow,30408,Pankow Süd,16,9,226,52,87,1211,55,222,392,59,14,5,230,25,27,613
+2013,Pankow,30509,Weißensee,28,9,278,56,127,1655,68,225,251,63,25,16,425,102,44,973
+2013,Pankow,30510,Weißensee Ost,11,8,146,25,47,626,22,147,61,26,28,22,132,18,32,334
+2013,Pankow,30611,Prenzlauer Berg Nordwest,51,31,208,62,59,1718,94,184,407,67,12,6,325,78,69,683
+2013,Pankow,30612,Prenzlauer Berg Nord,21,6,202,43,65,1914,88,216,452,52,14,3,254,61,52,595
+2013,Pankow,30613,Helmholtzplatz,14,4,148,38,44,1280,57,91,279,90,10,2,238,65,20,590
+2013,Pankow,30614,Prenzlauer Berg Ost,43,21,243,59,72,2151,49,317,337,43,17,5,430,167,68,619
+2013,Pankow,30715,Prenzlauer Berg Südwest,29,12,325,86,56,2201,87,218,349,118,16,9,403,130,45,907
+2013,Pankow,30716,Prenzlauer Berg Süd,17,9,154,33,76,1633,131,256,394,87,17,6,327,70,47,686
+2013,Pankow,39900,"Bezirk (Pk), Nicht Zuzuordnen",9,5,90,20,16,398,8,30,7,5,3,1,188,142,20,125
+2013,Charlottenburg-Wilmersdorf,40101,Charlottenburg-Nord,53,16,298,64,154,1119,71,418,65,79,15,7,230,20,156,710
+2013,Charlottenburg-Wilmersdorf,40202,Heerstrasse,19,8,127,41,45,720,34,232,56,62,3,2,143,47,22,273
+2013,Charlottenburg-Wilmersdorf,40203,Westend,31,10,192,46,116,2344,64,465,193,110,10,7,226,34,23,587
+2013,Charlottenburg-Wilmersdorf,40304,Schloß Charlottenburg,46,21,205,46,92,1205,29,176,256,92,12,7,186,28,63,633
+2013,Charlottenburg-Wilmersdorf,40305,Mierendorffplatz,40,22,146,32,70,846,21,201,103,57,11,3,130,13,96,466
+2013,Charlottenburg-Wilmersdorf,40306,Otto-Suhr-Allee,60,24,385,98,127,2260,27,308,355,157,14,5,410,94,141,965
+2013,Charlottenburg-Wilmersdorf,40307,Neue Kantstraße,46,17,247,55,108,1384,59,292,278,108,8,4,290,73,135,723
+2013,Charlottenburg-Wilmersdorf,40308,Kantstraße,60,28,295,79,98,2798,20,198,268,119,8,3,211,25,165,695
+2013,Charlottenburg-Wilmersdorf,40309,Kurfürstendamm,112,46,919,287,183,4299,60,369,172,106,6,1,342,75,197,1517
+2013,Charlottenburg-Wilmersdorf,40310,Halensee,23,8,135,25,71,1011,64,180,172,85,7,3,167,38,30,433
+2013,Charlottenburg-Wilmersdorf,40411,Grunewald,13,6,96,28,68,950,53,330,82,164,6,3,123,14,13,414
+2013,Charlottenburg-Wilmersdorf,40412,Schmargendorf,11,5,72,14,33,816,30,212,69,111,4,0,110,17,8,266
+2013,Charlottenburg-Wilmersdorf,40413,Wiesbadener Straße,12,4,83,12,43,656,24,221,127,55,2,2,140,25,2,293
+2013,Charlottenburg-Wilmersdorf,40514,Düsseldorfer Straße,37,15,258,69,109,1970,83,448,263,194,15,4,330,89,52,778
+2013,Charlottenburg-Wilmersdorf,40515,Barstraße,23,14,116,29,57,903,15,199,154,64,1,1,143,21,20,378
+2013,Charlottenburg-Wilmersdorf,40516,Volkspark Wilmersdorf,51,13,227,62,95,1690,61,388,356,100,24,10,303,61,50,667
+2013,Charlottenburg-Wilmersdorf,40617,Forst Grunewald,1,1,15,5,5,68,2,33,4,0,2,1,21,0,2,27
+2013,Charlottenburg-Wilmersdorf,49900,"Bezirk (Ch-Wi), Nicht Zuzuordnen",1,0,182,57,33,694,3,16,0,0,1,1,254,215,5,237
+2013,Spandau,50101,Hakenfelde,14,8,172,42,76,1005,25,187,56,52,20,6,222,21,40,704
+2013,Spandau,50102,Falkenhagener Feld,52,21,445,85,150,1170,35,180,146,89,40,5,351,13,46,1135
+2013,Spandau,50103,Spandau Mitte,96,46,758,181,243,2471,41,291,267,72,31,8,602,112,223,1630
+2013,Spandau,50204,Brunsbütteler Damm,16,7,167,44,59,911,32,136,62,58,10,2,229,56,21,417
+2013,Spandau,50205,Heerstraße Nord,29,15,377,102,159,1124,51,167,71,71,19,3,352,43,34,1031
+2013,Spandau,50206,Wilhelmstadt,43,21,478,111,217,2470,45,238,188,92,21,8,480,39,120,1248
+2013,Spandau,50307,Haselhorst,20,8,156,40,64,1099,30,180,59,53,11,3,238,22,25,551
+2013,Spandau,50308,Siemensstadt,19,11,158,34,67,775,29,153,83,30,8,4,155,28,12,426
+2013,Spandau,50409,Gatow/Kladow,4,1,70,16,32,456,11,107,25,80,11,5,141,28,4,163
+2013,Spandau,59900,"Bezirk (Sp), Nicht Zuzuordnen",2,1,36,6,11,244,4,11,7,1,3,1,150,119,3,53
+2013,Steglitz-Zehlendorf,60101,Schloßstr.,67,32,205,30,71,2879,29,193,176,107,12,5,235,75,40,586
+2013,Steglitz-Zehlendorf,60102,Albrechtstr.,54,22,263,52,145,1617,112,418,232,162,17,6,332,62,59,879
+2013,Steglitz-Zehlendorf,60203,Lankwitz,34,14,311,60,138,1315,61,317,122,137,24,6,364,70,88,784
+2013,Steglitz-Zehlendorf,60204,Ostpreußendamm,19,11,232,52,97,1286,61,344,188,89,12,6,235,34,55,549
+2013,Steglitz-Zehlendorf,60305,Teltower Damm,35,14,153,30,92,1403,57,374,284,148,17,4,254,39,51,475
+2013,Steglitz-Zehlendorf,60306,Drakestr.,30,7,198,33,108,1936,85,497,222,166,17,8,289,33,49,635
+2013,Steglitz-Zehlendorf,60407,Zehlendorf Südwest,21,11,161,28,77,1289,49,441,149,155,9,2,215,22,33,422
+2013,Steglitz-Zehlendorf,60408,Zehlendorf Nord,27,11,219,44,118,2207,88,684,226,292,17,2,404,139,46,610
+2013,Steglitz-Zehlendorf,69900,"Bezirk (St-Zd), Nicht Zuzuordnen",1,1,44,8,26,214,3,7,2,0,2,1,209,169,2,68
+2013,Tempelhof-Schöneberg,70101,Schöneberg-Nord,241,122,786,237,243,4449,85,508,447,233,54,19,681,135,307,1976
+2013,Tempelhof-Schöneberg,70202,Schöneberg-Süd,93,49,548,149,177,2900,56,376,627,162,23,9,518,113,218,1406
+2013,Tempelhof-Schöneberg,70303,Friedenau,62,19,259,43,115,2909,79,430,424,89,28,7,402,106,75,751
+2013,Tempelhof-Schöneberg,70404,Tempelhof,88,35,659,155,299,3581,109,791,348,145,48,13,703,123,300,1647
+2013,Tempelhof-Schöneberg,70505,Mariendorf,60,35,417,90,178,1886,91,513,140,145,27,5,493,59,102,1143
+2013,Tempelhof-Schöneberg,70606,Marienfelde,23,12,243,56,109,1310,35,238,78,68,22,3,225,23,50,629
+2013,Tempelhof-Schöneberg,70707,Lichtenrade,31,14,339,64,135,1231,51,390,98,179,29,10,338,46,64,754
+2013,Tempelhof-Schöneberg,79900,"Bezirk (Th-Sb), Nicht Zuzuordnen",2,2,69,14,22,375,0,7,7,1,1,1,105,68,6,105
+2013,Neukölln,80101,Schillerpromenade,144,84,679,218,208,2193,40,284,201,140,32,13,561,119,929,1630
+2013,Neukölln,80102,Neuköllner Mitte/Zentrum,135,69,843,237,248,4367,58,437,226,175,39,19,618,109,200,2048
+2013,Neukölln,80103,Reuterstraße,95,49,509,182,173,2808,65,244,300,151,27,14,567,112,232,1285
+2013,Neukölln,80104,Rixdorf,125,72,603,168,201,2211,50,367,269,148,31,15,509,86,110,1531
+2013,Neukölln,80105,Köllnische Heide,30,16,231,65,132,1339,54,349,34,44,21,8,508,45,29,672
+2013,Neukölln,80206,Britz,75,47,427,113,199,2123,99,623,156,159,39,15,413,39,53,1188
+2013,Neukölln,80207,Buckow,24,11,138,38,69,687,23,214,39,93,11,3,227,29,23,455
+2013,Neukölln,80308,Gropiusstadt,76,37,274,65,115,1775,44,242,164,72,28,11,479,54,28,834
+2013,Neukölln,80409,Buckow Nord,11,3,88,19,38,461,12,115,25,28,13,1,91,5,5,216
+2013,Neukölln,80410,Rudow,32,19,230,69,104,1344,111,441,144,153,10,3,288,23,16,570
+2013,Neukölln,89900,"Bezirk (Nk), Nicht Zuzuordnen",5,4,57,17,11,230,2,16,0,0,0,0,52,39,10,77
+2013,Treptow-Köpenick,90101,Alt-Treptow,45,29,127,30,33,1069,21,109,228,42,2,1,166,51,65,343
+2013,Treptow-Köpenick,90102,Plänterwald,12,7,82,16,25,594,27,210,77,32,7,1,133,16,6,241
+2013,Treptow-Köpenick,90103,Baumschulenweg,21,12,95,20,59,684,35,211,100,47,8,3,167,46,24,308
+2013,Treptow-Köpenick,90104,Johannisthal,11,4,99,16,61,619,57,168,75,45,9,4,164,34,15,256
+2013,Treptow-Köpenick,90205,Oberschöneweide,23,13,353,81,99,1066,69,185,119,27,14,8,372,132,41,720
+2013,Treptow-Köpenick,90206,Niederschöneweide,14,5,145,40,44,903,25,93,133,10,11,6,169,51,32,279
+2013,Treptow-Köpenick,90207,Adlershof,20,13,118,34,57,960,32,152,204,18,10,3,158,28,13,291
+2013,Treptow-Köpenick,90208,Köllnische Vorstadt/Spindlersfeld,10,5,143,35,41,327,20,54,75,13,20,14,202,64,20,316
+2013,Treptow-Köpenick,90309,Altglienicke,7,3,164,32,73,634,47,228,97,46,15,3,130,19,23,332
+2013,Treptow-Köpenick,90310,Bohnsdorf,6,2,66,9,30,352,23,87,43,28,5,3,115,34,14,138
+2013,Treptow-Köpenick,90311,Grünau,2,0,22,5,12,233,15,49,72,15,4,3,56,18,7,54
+2013,Treptow-Köpenick,90312,Schmöckwitz/Karolinenhof/Rauchfangswerder,1,0,21,3,12,171,4,82,3,13,2,2,27,2,0,43
+2013,Treptow-Köpenick,90413,Köpenick-Süd,1,1,73,9,31,361,20,123,61,10,16,3,133,28,7,186
+2013,Treptow-Köpenick,90414,Allende-Viertel,0,0,38,2,14,198,10,20,51,2,3,0,48,16,2,97
+2013,Treptow-Köpenick,90415,Altstadt-Kietz,7,2,94,15,24,220,7,28,61,9,3,1,88,16,5,199
+2013,Treptow-Köpenick,90416,Müggelheim,0,0,14,1,16,107,6,32,7,6,2,1,26,0,1,45
+2013,Treptow-Köpenick,90517,Friedrichshagen,10,4,73,16,36,560,30,91,221,13,8,2,112,25,2,176
+2013,Treptow-Köpenick,90518,Rahnsdorf/Hessenwinkel,2,2,25,4,23,348,11,141,69,37,2,1,55,5,2,75
+2013,Treptow-Köpenick,90519,Dammvorstadt,10,4,139,28,37,807,16,66,163,10,20,12,150,12,51,322
+2013,Treptow-Köpenick,90520,Köpenick-Nord,4,2,38,14,31,281,20,78,59,27,8,3,73,9,1,129
+2013,Treptow-Köpenick,99900,"Bezirk (Tp-Kp), Nicht Zuzuordnen",3,1,80,25,17,275,5,29,5,1,2,2,278,221,11,106
+2013,Marzahn-Hellersdorf,100101,Marzahn-Nord,38,17,402,87,115,795,52,126,88,30,32,11,279,43,33,780
+2013,Marzahn-Hellersdorf,100102,Marzahn-Mitte,81,31,782,165,184,1973,103,467,147,43,47,15,505,68,78,1396
+2013,Marzahn-Hellersdorf,100103,Marzahn-Süd,52,21,340,68,125,1631,157,361,114,37,17,7,356,66,23,818
+2013,Marzahn-Hellersdorf,100204,Hellersdorf-Nord,61,35,717,141,194,1465,45,202,169,23,72,26,581,150,83,1357
+2013,Marzahn-Hellersdorf,100205,Hellersdorf-Ost,30,20,205,38,80,568,18,79,126,14,19,9,224,33,32,479
+2013,Marzahn-Hellersdorf,100206,Hellersdorf-Süd,34,23,286,48,86,657,32,121,102,20,26,3,252,75,33,595
+2013,Marzahn-Hellersdorf,100307,Biesdorf,10,4,177,23,77,1260,35,290,190,55,18,8,215,28,18,349
+2013,Marzahn-Hellersdorf,100408,Kaulsdorf,9,4,71,13,41,504,16,168,86,82,6,3,122,26,7,178
+2013,Marzahn-Hellersdorf,100409,Mahlsdorf,9,3,86,14,55,734,41,215,86,112,2,0,130,25,15,184
+2013,Marzahn-Hellersdorf,109900,"Bezirk (Mz-Hd), Nicht Zuzuordnen",3,0,73,18,15,243,9,3,6,0,1,0,154,106,2,93
+2013,Lichtenberg,110101,"Malchow, Wartenberg Und Falkenberg",2,0,23,3,12,246,4,41,8,35,5,4,29,3,5,52
+2013,Lichtenberg,110102,Neu-Hohenschönhausen Nord,29,16,333,59,81,802,27,125,99,18,13,7,201,27,67,712
+2013,Lichtenberg,110103,Neu-Hohenschönhausen Süd,32,8,287,49,64,980,62,130,78,40,21,6,274,30,40,643
+2013,Lichtenberg,110204,Alt-Hohenschönhausen Nord,13,3,117,23,48,845,24,145,37,44,11,6,193,26,14,339
+2013,Lichtenberg,110205,Alt-Hohenschönhausen Süd,31,16,206,37,93,1367,72,279,151,66,15,4,316,71,34,731
+2013,Lichtenberg,110306,Fennpfuhl,26,14,257,49,78,1170,77,262,188,44,17,4,318,72,25,613
+2013,Lichtenberg,110307,Alt-Lichtenberg,37,22,372,99,109,1943,65,327,178,52,22,11,388,103,56,874
+2013,Lichtenberg,110308,Frankfurter Allee Süd,18,10,90,15,31,646,35,106,137,16,8,4,104,13,53,237
+2013,Lichtenberg,110409,Neu Lichtenberg,34,16,246,48,68,1382,72,208,287,30,24,14,318,94,65,663
+2013,Lichtenberg,110410,Friedrichsfelde Nord,15,4,147,33,50,716,50,144,34,39,20,7,142,28,17,338
+2013,Lichtenberg,110411,Friedrichsfelde Süd,25,8,161,32,61,743,49,141,88,49,11,3,202,76,14,403
+2013,Lichtenberg,110512,Rummelsburger Bucht,6,4,19,7,8,173,9,45,25,9,22,10,63,13,8,62
+2013,Lichtenberg,110513,Karlshorst,10,5,111,22,44,852,67,186,157,70,19,11,192,32,5,351
+2013,Lichtenberg,119900,"Bezirk (Lb), Nicht Zuzuordnen",4,3,64,24,6,209,6,8,7,0,1,0,169,123,6,83
+2013,Reinickendorf,121031,Ost 1 - Reginhardstr.,38,15,393,94,166,1183,30,191,158,80,16,10,260,29,132,979
+2013,Reinickendorf,121032,Ost 2 - Alt-Reinickendorf,49,21,313,63,130,1433,39,322,170,60,30,13,322,55,152,789
+2013,Reinickendorf,122141,West 1 - Tegel-Süd/Flughafensee,15,5,228,52,89,1446,20,254,53,76,10,7,175,23,228,529
+2013,Reinickendorf,122144,West 4 - Auguste-Viktoria-Allee,45,17,342,80,166,1375,32,187,117,67,14,8,321,43,100,850
+2013,Reinickendorf,122145,West 5 - Tegel/Tegeler Forst,23,13,158,38,53,969,12,98,102,19,6,3,165,30,41,336
+2013,Reinickendorf,122242,West 2 - Heiligensee/Konradshöhe,4,3,90,15,48,639,16,261,77,129,10,4,212,36,27,279
+2013,Reinickendorf,122311,Nord 1 - Frohnau/Hermsdorf,25,9,117,23,49,1180,41,391,273,205,7,1,227,49,19,334
+2013,Reinickendorf,123012,Nord 2 - Waidmannslust/Wittenau/Lübars,45,22,310,61,130,1631,22,291,169,99,16,4,264,59,97,662
+2013,Reinickendorf,123021,Mv 1 - Märkisches Viertel,86,57,600,135,219,1986,37,328,133,67,44,18,428,36,139,1486
+2013,Reinickendorf,123022,Mv 2 - Rollbergsiedlung,14,9,85,21,39,487,6,82,26,36,6,4,116,15,14,223
+2013,Reinickendorf,123043,West 3 - Borsigwalde/Freie Scholle,15,7,121,27,52,645,11,102,70,64,17,5,117,13,33,272
+2013,Reinickendorf,129900,"Bezirk (Rd), Nicht Zuzuordnen",3,0,23,7,7,136,1,7,0,1,6,6,92,46,7,34
+2014,Mitte,10111,Tiergarten Süd,74,48,514,134,133,2604,17,220,195,70,8,5,252,30,163,1043
+2014,Mitte,10112,Regierungsviertel,51,19,432,84,115,4370,11,189,371,52,3,2,385,137,89,843
+2014,Mitte,10113,Alexanderplatz,203,106,1309,364,350,10510,89,710,1074,241,46,18,1207,351,506,2984
+2014,Mitte,10114,Brunnenstraße Süd,34,16,180,31,68,2248,56,230,488,127,6,1,356,132,79,771
+2014,Mitte,10221,Moabit West,76,32,557,147,159,2650,73,482,399,118,36,15,482,82,216,1226
+2014,Mitte,10222,Moabit Ost,57,33,599,157,173,3834,43,415,426,98,42,19,498,83,399,1282
+2014,Mitte,10331,Osloer Straße,111,52,772,190,218,3846,31,410,344,202,38,14,471,48,266,1645
+2014,Mitte,10332,Brunnenstraße Nord,107,47,648,167,217,3183,69,407,384,178,48,19,532,92,302,1574
+2014,Mitte,10441,Parkviertel,89,46,652,151,240,3372,58,461,353,176,28,8,473,52,192,1687
+2014,Mitte,10442,Wedding Zentrum,131,68,1052,283,351,3802,61,487,426,257,35,17,692,160,511,2342
+2014,Mitte,19900,"Bezirk (Mi), Nicht Zuzuordnen",81,54,64,28,60,1515,27,341,209,5,15,7,58,0,157,306
+2014,Friedrichshain-Kreuzberg,20101,Südliche Friedrichstadt,119,80,675,194,224,3951,53,825,463,162,45,14,600,90,218,1563
+2014,Friedrichshain-Kreuzberg,20202,Tempelhofer Vorstadt,128,60,986,264,262,5460,97,545,1010,230,54,18,854,212,226,2047
+2014,Friedrichshain-Kreuzberg,20303,Nördliche Luisenstadt,125,86,566,214,128,3197,26,185,398,97,40,13,462,132,405,1153
+2014,Friedrichshain-Kreuzberg,20304,Südliche Luisenstadt,171,132,583,271,117,2814,31,213,373,82,57,18,508,165,996,1231
+2014,Friedrichshain-Kreuzberg,20405,Karl-Marx-Allee-Nord,30,20,187,43,72,1462,66,272,223,72,18,6,265,34,27,631
+2014,Friedrichshain-Kreuzberg,20407,Karl-Marx-Allee-Süd,88,57,524,144,109,3300,42,302,352,46,18,6,515,87,291,1054
+2014,Friedrichshain-Kreuzberg,20506,Frankfurter Allee Nord,16,9,300,65,91,2095,72,194,469,71,30,10,562,77,62,998
+2014,Friedrichshain-Kreuzberg,20508,Frankfurter Allee Süd Fk,162,116,880,287,163,5162,71,358,849,143,44,19,1184,218,665,2099
+2014,Friedrichshain-Kreuzberg,29900,"Bezirk (Fh-Kb), Nicht Zuzuordnen",101,90,65,37,46,1352,27,213,198,1,8,5,84,0,149,306
+2014,Pankow,30101,Buch,6,3,123,32,79,761,30,194,95,24,19,8,171,25,20,307
+2014,Pankow,30202,Blankenfelde/Niederschönhausen,7,2,120,30,59,759,23,168,124,85,14,4,144,22,13,321
+2014,Pankow,30203,Buchholz,2,1,68,16,31,459,21,78,51,38,2,0,97,27,9,148
+2014,Pankow,30304,Karow,4,3,49,8,23,397,9,89,104,50,2,0,100,8,9,143
+2014,Pankow,30307,Blankenburg/Heinersdorf/Märchenland,8,1,80,17,48,839,17,135,105,53,7,7,112,8,7,201
+2014,Pankow,30405,Schönholz/Wilhelmsruh/Rosenthal,9,3,56,6,38,622,19,111,100,67,5,0,117,20,14,217
+2014,Pankow,30406,Pankow Zentrum,35,20,186,42,80,2190,56,237,614,69,25,11,316,74,36,711
+2014,Pankow,30408,Pankow Süd,26,15,162,47,75,1392,69,220,386,72,13,10,303,53,21,670
+2014,Pankow,30509,Weißensee,28,14,289,67,109,1669,67,219,257,65,19,4,382,79,37,839
+2014,Pankow,30510,Weißensee Ost,5,4,146,27,53,591,26,132,80,36,8,2,180,32,24,326
+2014,Pankow,30611,Prenzlauer Berg Nordwest,38,22,224,61,56,1935,51,234,507,45,12,4,319,90,76,760
+2014,Pankow,30612,Prenzlauer Berg Nord,31,13,168,37,56,1984,80,213,546,38,7,4,284,123,35,627
+2014,Pankow,30613,Helmholtzplatz,10,4,137,40,32,1472,47,109,364,95,7,4,215,64,23,609
+2014,Pankow,30614,Prenzlauer Berg Ost,30,18,247,60,63,2298,92,313,351,77,10,4,546,228,51,701
+2014,Pankow,30715,Prenzlauer Berg Südwest,24,13,319,95,56,2267,62,192,426,187,8,2,351,110,31,934
+2014,Pankow,30716,Prenzlauer Berg Süd,13,7,145,28,49,1697,100,229,380,137,13,6,321,73,29,738
+2014,Pankow,39900,"Bezirk (Pk), Nicht Zuzuordnen",37,27,68,22,44,678,47,201,170,0,1,0,36,0,65,211
+2014,Charlottenburg-Wilmersdorf,40101,Charlottenburg-Nord,47,25,302,59,120,1216,54,396,64,76,9,4,246,50,160,759
+2014,Charlottenburg-Wilmersdorf,40202,Heerstrasse,16,10,163,52,41,692,54,191,56,96,1,1,184,76,26,307
+2014,Charlottenburg-Wilmersdorf,40203,Westend,36,24,222,44,121,2767,64,406,193,112,12,8,280,55,20,776
+2014,Charlottenburg-Wilmersdorf,40304,Schloß Charlottenburg,30,8,242,53,101,1205,23,165,231,88,6,3,233,67,38,643
+2014,Charlottenburg-Wilmersdorf,40305,Mierendorffplatz,41,16,138,39,68,825,16,205,71,42,5,0,119,16,151,369
+2014,Charlottenburg-Wilmersdorf,40306,Otto-Suhr-Allee,52,28,429,87,163,2391,50,289,361,118,12,3,368,77,79,1040
+2014,Charlottenburg-Wilmersdorf,40307,Neue Kantstraße,36,12,235,59,77,1598,57,323,277,110,11,7,219,55,116,660
+2014,Charlottenburg-Wilmersdorf,40308,Kantstraße,54,21,232,51,117,2830,24,216,321,103,10,4,225,22,138,664
+2014,Charlottenburg-Wilmersdorf,40309,Kurfürstendamm,107,52,919,278,185,4781,48,377,216,106,9,6,376,93,168,1554
+2014,Charlottenburg-Wilmersdorf,40310,Halensee,16,7,124,33,73,1018,37,160,107,84,4,2,153,36,35,391
+2014,Charlottenburg-Wilmersdorf,40411,Grunewald,13,8,82,21,51,931,63,300,56,244,7,3,124,15,16,434
+2014,Charlottenburg-Wilmersdorf,40412,Schmargendorf,12,7,85,14,36,607,23,131,67,99,4,1,67,2,8,256
+2014,Charlottenburg-Wilmersdorf,40413,Wiesbadener Straße,7,5,73,7,31,605,16,121,183,74,5,2,90,20,16,242
+2014,Charlottenburg-Wilmersdorf,40514,Düsseldorfer Straße,59,35,219,35,119,1878,83,434,239,170,19,5,345,95,69,783
+2014,Charlottenburg-Wilmersdorf,40515,Barstraße,18,14,108,22,56,854,19,209,170,59,3,3,108,22,39,301
+2014,Charlottenburg-Wilmersdorf,40516,Volkspark Wilmersdorf,56,35,261,51,81,1920,70,385,400,165,9,4,272,67,51,722
+2014,Charlottenburg-Wilmersdorf,40617,Forst Grunewald,0,0,6,2,3,43,0,17,3,0,0,0,13,1,3,11
+2014,Charlottenburg-Wilmersdorf,49900,"Bezirk (Ch-Wi), Nicht Zuzuordnen",41,31,0,0,50,668,66,349,102,0,8,2,0,0,75,135
+2014,Spandau,50101,Hakenfelde,17,10,156,42,65,705,33,148,63,36,18,7,173,9,32,376
+2014,Spandau,50102,Falkenhagener Feld,36,14,420,87,137,1202,31,224,164,98,29,10,357,33,61,991
+2014,Spandau,50103,Spandau Mitte,99,67,674,154,212,2815,36,354,304,55,26,10,546,83,226,1624
+2014,Spandau,50204,Brunsbütteler Damm,16,12,132,35,79,780,36,145,64,75,13,4,146,14,24,350
+2014,Spandau,50205,Heerstraße Nord,34,24,362,67,127,1028,34,155,99,71,33,10,297,20,30,858
+2014,Spandau,50206,Wilhelmstadt,64,27,536,127,190,2215,33,252,240,95,21,12,467,83,92,1075
+2014,Spandau,50307,Haselhorst,19,7,150,33,49,859,31,195,65,31,17,8,167,17,18,351
+2014,Spandau,50308,Siemensstadt,24,7,168,43,60,1015,38,201,102,31,9,5,165,45,15,464
+2014,Spandau,50409,Gatow/Kladow,7,4,81,16,31,454,22,95,27,63,6,4,93,5,6,154
+2014,Spandau,59900,"Bezirk (Sp), Nicht Zuzuordnen",28,23,45,15,38,317,18,116,46,0,2,0,35,0,45,165
+2014,Steglitz-Zehlendorf,60101,Schloßstr.,43,18,174,45,77,2302,39,173,180,115,8,2,247,74,40,488
+2014,Steglitz-Zehlendorf,60102,Albrechtstr.,43,25,267,43,136,1449,85,348,229,145,16,5,417,78,42,823
+2014,Steglitz-Zehlendorf,60203,Lankwitz,26,13,277,63,129,1147,67,290,101,101,37,18,271,37,116,661
+2014,Steglitz-Zehlendorf,60204,Ostpreußendamm,15,7,199,38,85,1238,63,289,222,130,12,5,309,33,46,560
+2014,Steglitz-Zehlendorf,60305,Teltower Damm,25,12,150,29,79,1377,58,362,311,146,14,4,315,64,42,456
+2014,Steglitz-Zehlendorf,60306,Drakestr.,9,7,200,29,103,1645,86,363,222,136,11,7,278,53,44,557
+2014,Steglitz-Zehlendorf,60407,Zehlendorf Südwest,18,14,137,25,67,1264,69,310,143,159,14,3,315,103,23,394
+2014,Steglitz-Zehlendorf,60408,Zehlendorf Nord,21,11,145,27,83,2379,104,573,376,446,25,6,428,143,44,655
+2014,Steglitz-Zehlendorf,69900,"Bezirk (St-Zd), Nicht Zuzuordnen",10,8,26,4,30,291,11,100,76,1,2,2,0,0,36,101
+2014,Tempelhof-Schöneberg,70101,Schöneberg-Nord,170,105,725,210,278,4601,67,492,527,261,42,12,571,106,315,1865
+2014,Tempelhof-Schöneberg,70202,Schöneberg-Süd,57,26,539,121,174,3036,49,406,685,168,22,6,493,113,216,1220
+2014,Tempelhof-Schöneberg,70303,Friedenau,43,30,252,42,93,2785,67,386,472,179,24,16,407,127,52,777
+2014,Tempelhof-Schöneberg,70404,Tempelhof,80,49,671,142,290,3816,113,798,372,186,46,14,745,138,316,1793
+2014,Tempelhof-Schöneberg,70505,Mariendorf,47,28,395,94,161,1807,78,490,146,142,20,9,437,55,96,976
+2014,Tempelhof-Schöneberg,70606,Marienfelde,27,19,204,37,85,1231,37,267,115,55,29,10,286,30,43,552
+2014,Tempelhof-Schöneberg,70707,Lichtenrade,28,14,304,59,138,1146,74,330,121,126,23,5,389,55,69,726
+2014,Tempelhof-Schöneberg,79900,"Bezirk (Th-Sb), Nicht Zuzuordnen",44,35,27,0,36,640,19,167,102,0,7,1,39,0,39,155
+2014,Neukölln,80101,Schillerpromenade,71,37,519,139,158,1923,25,310,180,123,18,8,547,190,519,1176
+2014,Neukölln,80102,Neuköllner Mitte/Zentrum,93,46,773,243,252,4450,60,553,247,154,36,10,615,113,176,1717
+2014,Neukölln,80103,Reuterstraße,71,32,569,147,172,2898,45,248,319,192,18,7,495,129,129,1248
+2014,Neukölln,80104,Rixdorf,88,41,576,151,159,2328,52,490,331,194,28,12,545,95,124,1358
+2014,Neukölln,80105,Köllnische Heide,26,13,199,55,122,1132,32,345,37,48,22,12,536,46,42,539
+2014,Neukölln,80206,Britz,73,46,457,111,178,2243,90,572,167,175,27,8,450,61,92,1207
+2014,Neukölln,80207,Buckow,18,8,133,20,67,687,49,203,32,81,8,4,177,14,7,359
+2014,Neukölln,80308,Gropiusstadt,55,39,341,92,132,1687,42,184,185,88,27,11,471,44,33,963
+2014,Neukölln,80409,Buckow Nord,9,4,94,15,31,468,9,96,30,51,10,8,71,4,9,204
+2014,Neukölln,80410,Rudow,32,18,207,54,92,1186,114,317,153,174,22,10,300,30,8,542
+2014,Neukölln,89900,"Bezirk (Nk), Nicht Zuzuordnen",44,36,84,20,65,687,20,164,51,1,2,1,46,0,41,231
+2014,Treptow-Köpenick,90101,Alt-Treptow,45,36,134,35,43,1198,30,183,281,38,11,5,195,62,66,364
+2014,Treptow-Köpenick,90102,Plänterwald,11,7,45,8,23,746,36,175,63,38,11,8,148,14,16,247
+2014,Treptow-Köpenick,90103,Baumschulenweg,19,8,106,23,57,894,63,216,125,52,8,3,140,24,21,305
+2014,Treptow-Köpenick,90104,Johannisthal,15,9,84,17,47,581,31,105,81,37,10,2,149,13,12,253
+2014,Treptow-Köpenick,90205,Oberschöneweide,12,5,287,65,94,987,46,245,138,23,12,7,221,39,50,587
+2014,Treptow-Köpenick,90206,Niederschöneweide,13,8,153,20,27,924,22,106,129,20,7,4,193,92,38,296
+2014,Treptow-Köpenick,90207,Adlershof,13,7,112,23,59,1054,44,183,165,28,11,5,201,79,19,324
+2014,Treptow-Köpenick,90208,Köllnische Vorstadt/Spindlersfeld,5,5,117,19,36,379,27,68,78,13,3,1,101,18,20,276
+2014,Treptow-Köpenick,90309,Altglienicke,9,5,148,20,56,724,71,178,95,61,5,1,129,19,23,299
+2014,Treptow-Köpenick,90310,Bohnsdorf,7,6,53,11,28,400,19,124,54,28,1,1,68,12,10,128
+2014,Treptow-Köpenick,90311,Grünau,5,1,43,16,13,272,8,83,63,8,3,2,98,38,4,95
+2014,Treptow-Köpenick,90312,Schmöckwitz/Karolinenhof/Rauchfangswerder,1,1,19,2,6,176,3,53,6,13,1,0,23,0,2,42
+2014,Treptow-Köpenick,90413,Köpenick-Süd,4,2,64,10,28,437,21,142,72,15,20,6,176,17,12,222
+2014,Treptow-Köpenick,90414,Allende-Viertel,2,0,50,13,29,222,14,36,25,8,3,2,61,11,5,117
+2014,Treptow-Köpenick,90415,Altstadt-Kietz,2,1,84,9,22,255,11,59,53,7,11,6,90,8,3,181
+2014,Treptow-Köpenick,90416,Müggelheim,0,0,12,2,5,105,4,35,8,16,4,4,22,1,3,26
+2014,Treptow-Köpenick,90517,Friedrichshagen,2,0,83,25,40,780,48,152,253,26,2,1,148,35,10,270
+2014,Treptow-Köpenick,90518,Rahnsdorf/Hessenwinkel,2,1,33,7,16,337,6,132,79,30,2,1,63,7,1,72
+2014,Treptow-Köpenick,90519,Dammvorstadt,14,7,122,33,36,706,12,49,142,8,8,5,192,27,44,337
+2014,Treptow-Köpenick,90520,Köpenick-Nord,3,2,45,11,29,342,25,93,76,25,1,1,99,29,13,145
+2014,Treptow-Köpenick,99900,"Bezirk (Tp-Kp), Nicht Zuzuordnen",25,21,10,7,33,348,25,186,84,1,9,7,0,0,20,143
+2014,Marzahn-Hellersdorf,100101,Marzahn-Nord,32,19,440,75,96,637,44,109,94,19,20,7,195,21,36,753
+2014,Marzahn-Hellersdorf,100102,Marzahn-Mitte,66,43,685,149,161,1681,79,305,184,28,23,12,525,56,70,1365
+2014,Marzahn-Hellersdorf,100103,Marzahn-Süd,55,29,339,67,118,1383,117,322,112,47,25,7,349,38,31,751
+2014,Marzahn-Hellersdorf,100204,Hellersdorf-Nord,32,20,634,109,189,1595,65,211,166,36,31,13,565,110,94,1300
+2014,Marzahn-Hellersdorf,100205,Hellersdorf-Ost,19,9,245,35,78,598,27,102,104,12,9,4,193,48,41,543
+2014,Marzahn-Hellersdorf,100206,Hellersdorf-Süd,17,13,258,45,96,627,43,98,89,23,30,8,264,74,22,577
+2014,Marzahn-Hellersdorf,100307,Biesdorf,8,5,162,23,66,1112,40,272,177,62,8,2,166,19,32,341
+2014,Marzahn-Hellersdorf,100408,Kaulsdorf,5,1,67,10,35,540,15,169,94,75,8,4,152,16,5,205
+2014,Marzahn-Hellersdorf,100409,Mahlsdorf,6,3,100,20,51,1204,30,154,119,79,3,1,147,29,5,225
+2014,Marzahn-Hellersdorf,109900,"Bezirk (Mz-Hd), Nicht Zuzuordnen",20,17,52,12,21,130,17,41,34,0,5,0,9,0,8,121
+2014,Lichtenberg,110101,"Malchow, Wartenberg Und Falkenberg",1,1,15,0,11,217,4,36,9,16,5,1,43,6,4,44
+2014,Lichtenberg,110102,Neu-Hohenschönhausen Nord,19,14,294,44,107,654,31,117,91,13,12,2,234,15,56,606
+2014,Lichtenberg,110103,Neu-Hohenschönhausen Süd,31,22,324,65,78,962,63,106,114,23,9,3,184,27,48,634
+2014,Lichtenberg,110204,Alt-Hohenschönhausen Nord,10,6,123,26,36,722,25,100,46,55,7,1,108,9,14,245
+2014,Lichtenberg,110205,Alt-Hohenschönhausen Süd,21,10,261,42,91,1246,60,317,123,70,14,2,280,57,45,665
+2014,Lichtenberg,110306,Fennpfuhl,22,11,248,47,93,1244,136,327,176,72,5,3,325,65,36,627
+2014,Lichtenberg,110307,Alt-Lichtenberg,40,21,321,81,90,2174,102,435,240,63,11,7,336,80,44,788
+2014,Lichtenberg,110308,Frankfurter Allee Süd,15,9,114,24,20,763,35,134,135,17,17,7,124,36,43,239
+2014,Lichtenberg,110409,Neu Lichtenberg,21,11,251,52,81,1569,60,237,292,69,14,5,384,105,40,771
+2014,Lichtenberg,110410,Friedrichsfelde Nord,19,12,133,38,52,686,53,113,53,36,3,1,131,41,13,321
+2014,Lichtenberg,110411,Friedrichsfelde Süd,14,5,141,31,45,742,55,146,132,50,7,6,190,89,17,343
+2014,Lichtenberg,110512,Rummelsburger Bucht,2,2,33,10,13,270,10,69,41,15,16,9,41,8,12,91
+2014,Lichtenberg,110513,Karlshorst,7,4,104,23,51,854,44,212,242,36,10,4,128,15,5,271
+2014,Lichtenberg,119900,"Bezirk (Lb), Nicht Zuzuordnen",14,13,20,4,12,304,17,118,56,0,3,2,0,0,1,63
+2014,Reinickendorf,121031,Ost 1 - Reginhardstr.,32,16,372,95,168,1321,34,214,178,142,25,9,297,39,89,1049
+2014,Reinickendorf,121032,Ost 2 - Alt-Reinickendorf,52,26,330,78,134,1520,43,258,168,112,20,7,331,98,143,907
+2014,Reinickendorf,122141,West 1 - Tegel-Süd/Flughafensee,9,4,163,42,95,762,19,143,55,43,10,6,118,6,143,407
+2014,Reinickendorf,122144,West 4 - Auguste-Viktoria-Allee,41,19,330,74,124,1659,38,258,118,130,19,11,402,61,81,907
+2014,Reinickendorf,122145,West 5 - Tegel/Tegeler Forst,24,10,140,30,48,1024,14,73,114,20,5,1,139,29,55,357
+2014,Reinickendorf,122242,West 2 - Heiligensee/Konradshöhe,3,0,72,17,38,570,29,213,68,123,5,1,156,22,26,186
+2014,Reinickendorf,122311,Nord 1 - Frohnau/Hermsdorf,18,13,107,26,46,1124,59,363,192,242,14,7,170,20,33,286
+2014,Reinickendorf,123012,Nord 2 - Waidmannslust/Wittenau/Lübars,49,32,358,87,111,1479,23,251,171,123,23,4,294,65,67,778
+2014,Reinickendorf,123021,Mv 1 - Märkisches Viertel,61,34,551,135,214,1949,47,349,154,67,72,25,418,32,103,1480
+2014,Reinickendorf,123022,Mv 2 - Rollbergsiedlung,16,6,79,12,36,387,8,78,31,25,10,5,109,28,13,206
+2014,Reinickendorf,123043,West 3 - Borsigwalde/Freie Scholle,15,6,105,25,49,548,19,121,38,66,7,0,131,26,30,312
+2014,Reinickendorf,129900,"Bezirk (Rd), Nicht Zuzuordnen",20,15,75,15,52,1032,19,140,67,1,5,1,21,0,46,201
+2015,Mitte,10111,Tiergarten Süd,82,59,480,109,108,2763,15,321,247,52,18,11,304,85,137,949
+2015,Mitte,10112,Regierungsviertel,76,34,433,89,126,5399,15,289,371,48,10,4,304,101,48,810
+2015,Mitte,10113,Alexanderplatz,157,90,1440,408,320,12150,83,820,1082,236,35,12,1171,333,499,2973
+2015,Mitte,10114,Brunnenstraße Süd,29,13,204,40,61,2419,61,231,418,108,9,6,346,116,72,862
+2015,Mitte,10221,Moabit West,115,54,569,150,186,3017,53,589,338,112,25,10,444,74,165,1212
+2015,Mitte,10222,Moabit Ost,85,45,738,192,204,4928,42,433,452,98,18,6,446,81,341,1418
+2015,Mitte,10331,Osloer Straße,98,59,788,243,247,3617,35,330,316,167,35,13,478,72,231,1584
+2015,Mitte,10332,Brunnenstraße Nord,85,37,562,145,196,2912,66,409,405,113,23,10,480,86,272,1239
+2015,Mitte,10441,Parkviertel,83,45,677,177,214,3582,55,537,343,126,31,16,491,88,198,1493
+2015,Mitte,10442,Wedding Zentrum,148,90,1027,308,354,3857,48,505,436,203,34,14,643,127,581,2107
+2015,Mitte,19900,"Bezirk (Mi), Nicht Zuzuordnen",82,63,189,62,62,1969,36,382,186,2,15,8,149,47,94,431
+2015,Friedrichshain-Kreuzberg,20101,Südliche Friedrichstadt,125,61,659,187,221,4574,59,861,439,152,31,10,650,99,415,1581
+2015,Friedrichshain-Kreuzberg,20202,Tempelhofer Vorstadt,113,50,812,200,204,6665,140,735,1209,240,37,18,783,170,360,1861
+2015,Friedrichshain-Kreuzberg,20303,Nördliche Luisenstadt,143,72,633,224,109,3683,36,276,376,86,31,10,464,126,540,1178
+2015,Friedrichshain-Kreuzberg,20304,Südliche Luisenstadt,167,106,469,189,141,3384,50,304,411,85,26,12,442,158,1949,1092
+2015,Friedrichshain-Kreuzberg,20405,Karl-Marx-Allee-Nord,34,18,149,45,47,1449,49,197,233,76,10,3,215,55,36,674
+2015,Friedrichshain-Kreuzberg,20407,Karl-Marx-Allee-Süd,126,82,518,145,104,3492,28,237,301,44,14,7,463,141,438,1104
+2015,Friedrichshain-Kreuzberg,20506,Frankfurter Allee Nord,28,15,320,95,78,2113,53,134,396,60,39,18,554,135,71,1069
+2015,Friedrichshain-Kreuzberg,20508,Frankfurter Allee Süd Fk,196,100,999,360,160,5581,65,383,692,121,35,13,1023,378,1468,2287
+2015,Friedrichshain-Kreuzberg,29900,"Bezirk (Fh-Kb), Nicht Zuzuordnen",95,77,149,55,42,1904,33,198,158,2,5,2,129,30,294,377
+2015,Pankow,30101,Buch,9,5,175,47,76,876,39,184,146,24,22,4,251,36,30,423
+2015,Pankow,30202,Blankenfelde/Niederschönhausen,7,1,113,21,56,729,20,198,117,67,14,4,145,39,18,288
+2015,Pankow,30203,Buchholz,2,0,61,12,23,384,18,44,36,34,7,4,92,32,5,134
+2015,Pankow,30304,Karow,7,4,59,13,36,428,17,112,92,38,5,1,92,16,4,142
+2015,Pankow,30307,Blankenburg/Heinersdorf/Märchenland,8,1,96,25,38,783,15,125,127,62,5,3,94,9,6,188
+2015,Pankow,30405,Schönholz/Wilhelmsruh/Rosenthal,6,1,56,7,31,566,21,156,74,67,9,4,108,20,8,173
+2015,Pankow,30406,Pankow Zentrum,38,22,229,50,90,2272,52,196,634,89,13,5,395,113,41,785
+2015,Pankow,30408,Pankow Süd,34,20,158,32,71,1480,52,222,336,73,11,7,260,68,37,824
+2015,Pankow,30509,Weißensee,21,7,336,73,135,2404,87,307,354,97,17,2,466,95,45,1181
+2015,Pankow,30510,Weißensee Ost,6,2,135,25,45,713,25,136,84,46,9,3,167,45,33,361
+2015,Pankow,30611,Prenzlauer Berg Nordwest,39,20,188,53,47,2277,38,209,413,58,21,10,309,114,68,1133
+2015,Pankow,30612,Prenzlauer Berg Nord,24,8,191,40,54,2619,86,207,541,56,9,4,246,79,30,1200
+2015,Pankow,30613,Helmholtzplatz,7,4,133,36,40,2114,32,98,323,69,5,3,280,96,20,1209
+2015,Pankow,30614,Prenzlauer Berg Ost,31,16,228,48,72,2826,57,429,392,76,17,9,517,250,43,778
+2015,Pankow,30715,Prenzlauer Berg Südwest,17,9,285,80,51,2519,59,217,388,116,10,4,396,136,46,1200
+2015,Pankow,30716,Prenzlauer Berg Süd,13,8,144,34,52,2374,79,327,351,96,14,10,334,104,16,1246
+2015,Pankow,39900,"Bezirk (Pk), Nicht Zuzuordnen",34,23,80,23,35,636,56,189,160,0,8,4,91,27,60,205
+2015,Charlottenburg-Wilmersdorf,40101,Charlottenburg-Nord,24,11,235,39,116,1193,53,335,68,72,13,4,223,10,160,674
+2015,Charlottenburg-Wilmersdorf,40202,Heerstrasse,12,7,150,39,39,861,38,249,76,110,7,1,146,39,33,311
+2015,Charlottenburg-Wilmersdorf,40203,Westend,23,11,228,52,119,2938,80,345,178,141,21,6,296,27,14,736
+2015,Charlottenburg-Wilmersdorf,40304,Schloß Charlottenburg,27,13,234,59,106,1241,26,143,260,66,11,4,209,17,33,612
+2015,Charlottenburg-Wilmersdorf,40305,Mierendorffplatz,20,10,155,46,57,947,28,211,123,47,12,7,142,16,30,380
+2015,Charlottenburg-Wilmersdorf,40306,Otto-Suhr-Allee,43,25,397,95,123,2552,28,261,404,95,15,6,383,42,75,1081
+2015,Charlottenburg-Wilmersdorf,40307,Neue Kantstraße,33,21,227,51,67,1824,58,274,335,122,4,3,210,33,111,667
+2015,Charlottenburg-Wilmersdorf,40308,Kantstraße,67,27,276,69,98,3361,20,201,325,94,5,3,226,15,119,772
+2015,Charlottenburg-Wilmersdorf,40309,Kurfürstendamm,107,51,911,252,168,5657,51,353,275,116,12,7,360,79,117,1602
+2015,Charlottenburg-Wilmersdorf,40310,Halensee,17,10,124,29,53,1368,35,199,144,83,3,1,153,34,15,497
+2015,Charlottenburg-Wilmersdorf,40411,Grunewald,10,6,123,23,67,976,48,312,79,185,8,4,121,7,11,419
+2015,Charlottenburg-Wilmersdorf,40412,Schmargendorf,9,6,66,10,25,716,49,193,102,76,2,2,88,7,7,201
+2015,Charlottenburg-Wilmersdorf,40413,Wiesbadener Straße,5,1,79,5,33,701,24,133,200,38,4,2,104,22,7,310
+2015,Charlottenburg-Wilmersdorf,40514,Düsseldorfer Straße,39,18,210,38,102,2338,62,454,383,139,16,6,334,109,50,826
+2015,Charlottenburg-Wilmersdorf,40515,Barstraße,19,11,113,19,45,980,30,199,227,66,2,0,102,17,24,389
+2015,Charlottenburg-Wilmersdorf,40516,Volkspark Wilmersdorf,41,28,225,35,79,2180,59,359,511,117,5,3,250,61,42,739
+2015,Charlottenburg-Wilmersdorf,40617,Forst Grunewald,0,0,19,5,6,32,1,13,1,0,4,3,9,1,0,30
+2015,Charlottenburg-Wilmersdorf,49900,"Bezirk (Ch-Wi), Nicht Zuzuordnen",40,32,33,14,52,757,51,265,133,0,1,2,45,12,37,161
+2015,Spandau,50101,Hakenfelde,16,10,192,27,89,830,30,153,71,45,13,7,184,15,15,557
+2015,Spandau,50102,Falkenhagener Feld,31,17,405,86,180,1290,39,178,142,93,28,9,332,23,36,1131
+2015,Spandau,50103,Spandau Mitte,101,55,624,158,252,2665,64,303,194,87,25,11,526,97,175,1593
+2015,Spandau,50204,Brunsbütteler Damm,15,5,159,28,76,826,37,128,67,65,15,5,180,11,10,434
+2015,Spandau,50205,Heerstraße Nord,22,14,334,81,128,1066,30,187,56,75,21,12,295,86,23,805
+2015,Spandau,50206,Wilhelmstadt,31,15,462,91,162,2260,39,291,187,77,16,6,349,39,146,925
+2015,Spandau,50307,Haselhorst,21,7,157,29,67,1007,57,143,73,38,10,5,115,13,20,483
+2015,Spandau,50308,Siemensstadt,15,6,130,29,50,993,35,131,78,40,13,5,117,22,14,367
+2015,Spandau,50409,Gatow/Kladow,4,1,105,28,39,489,14,139,35,65,11,4,104,10,2,203
+2015,Spandau,59900,"Bezirk (Sp), Nicht Zuzuordnen",13,12,54,20,31,406,24,102,21,1,1,0,48,3,52,133
+2015,Steglitz-Zehlendorf,60101,Schloßstr.,25,13,200,40,63,2496,26,212,350,64,6,2,217,55,33,461
+2015,Steglitz-Zehlendorf,60102,Albrechtstr.,32,21,231,47,125,1406,95,300,229,133,8,7,361,61,46,788
+2015,Steglitz-Zehlendorf,60203,Lankwitz,19,11,264,53,110,960,43,207,109,104,7,0,297,51,78,611
+2015,Steglitz-Zehlendorf,60204,Ostpreußendamm,16,7,185,44,80,1184,40,231,205,165,18,7,220,28,36,487
+2015,Steglitz-Zehlendorf,60305,Teltower Damm,16,10,150,30,73,1438,50,247,438,132,11,6,252,67,42,413
+2015,Steglitz-Zehlendorf,60306,Drakestr.,18,10,200,28,97,1895,91,410,258,199,11,3,252,42,41,554
+2015,Steglitz-Zehlendorf,60407,Zehlendorf Südwest,15,7,136,29,62,1190,46,223,195,137,6,1,310,104,17,343
+2015,Steglitz-Zehlendorf,60408,Zehlendorf Nord,25,13,193,41,94,2489,89,574,453,345,15,6,445,153,37,722
+2015,Steglitz-Zehlendorf,69900,"Bezirk (St-Zd), Nicht Zuzuordnen",14,6,37,3,36,379,15,77,115,2,4,2,42,8,26,99
+2015,Tempelhof-Schöneberg,70101,Schöneberg-Nord,160,101,816,224,231,5114,67,507,637,227,26,11,636,128,263,2059
+2015,Tempelhof-Schöneberg,70202,Schöneberg-Süd,58,27,530,126,157,3462,55,410,755,157,9,5,508,90,180,1349
+2015,Tempelhof-Schöneberg,70303,Friedenau,36,22,230,32,114,2592,75,367,545,99,9,5,337,107,43,687
+2015,Tempelhof-Schöneberg,70404,Tempelhof,53,23,671,145,280,3870,128,706,412,126,56,11,811,147,213,1633
+2015,Tempelhof-Schöneberg,70505,Mariendorf,39,22,295,71,100,2121,84,428,173,118,22,11,374,40,69,770
+2015,Tempelhof-Schöneberg,70606,Marienfelde,17,9,220,45,94,1126,29,186,117,90,18,5,245,22,42,534
+2015,Tempelhof-Schöneberg,70707,Lichtenrade,30,18,285,45,156,1227,120,223,145,227,28,9,336,38,60,697
+2015,Tempelhof-Schöneberg,79900,"Bezirk (Th-Sb), Nicht Zuzuordnen",32,25,72,21,54,865,19,140,133,0,1,1,83,20,30,204
+2015,Neukölln,80101,Schillerpromenade,91,52,450,134,142,2232,30,349,252,101,25,10,499,121,806,1136
+2015,Neukölln,80102,Neuköllner Mitte/Zentrum,91,41,767,242,218,4733,56,413,341,157,30,11,653,96,205,1743
+2015,Neukölln,80103,Reuterstraße,107,51,468,132,150,3350,32,270,540,159,28,13,508,124,194,1303
+2015,Neukölln,80104,Rixdorf,77,45,480,140,182,2558,51,344,453,199,27,13,518,79,183,1477
+2015,Neukölln,80105,Köllnische Heide,32,17,244,57,97,1214,49,317,58,42,19,10,410,51,55,630
+2015,Neukölln,80206,Britz,54,27,429,107,176,2333,71,544,232,138,28,16,391,58,116,1051
+2015,Neukölln,80207,Buckow,11,5,173,36,85,746,55,215,62,108,15,10,172,25,15,441
+2015,Neukölln,80308,Gropiusstadt,45,33,369,91,136,1980,59,213,187,59,40,9,600,44,32,1102
+2015,Neukölln,80409,Buckow Nord,11,5,94,15,32,431,15,78,36,37,6,5,49,1,11,196
+2015,Neukölln,80410,Rudow,28,20,219,44,112,1331,99,351,165,182,29,11,312,42,36,604
+2015,Neukölln,89900,"Bezirk (Nk), Nicht Zuzuordnen",35,30,69,20,37,782,24,132,57,0,6,0,49,6,30,171
+2015,Treptow-Köpenick,90101,Alt-Treptow,54,36,143,48,51,1214,30,87,286,39,5,4,178,53,146,450
+2015,Treptow-Köpenick,90102,Plänterwald,6,3,60,6,40,669,52,135,60,24,5,1,123,26,7,280
+2015,Treptow-Köpenick,90103,Baumschulenweg,14,5,119,20,46,868,42,155,110,74,7,2,149,29,25,343
+2015,Treptow-Köpenick,90104,Johannisthal,11,4,96,18,43,596,29,99,73,61,11,7,102,15,19,252
+2015,Treptow-Köpenick,90205,Oberschöneweide,16,6,273,81,91,981,46,168,113,39,17,4,270,46,49,606
+2015,Treptow-Köpenick,90206,Niederschöneweide,10,5,117,23,40,935,17,66,126,20,12,6,201,103,40,257
+2015,Treptow-Köpenick,90207,Adlershof,22,8,124,24,47,1090,28,128,172,24,12,6,170,36,25,288
+2015,Treptow-Köpenick,90208,Köllnische Vorstadt/Spindlersfeld,3,2,100,23,31,317,17,36,74,10,4,3,99,23,20,233
+2015,Treptow-Köpenick,90309,Altglienicke,7,4,111,28,53,684,55,128,88,102,7,2,118,10,17,326
+2015,Treptow-Köpenick,90310,Bohnsdorf,9,2,39,12,31,431,16,89,38,89,4,1,70,4,20,115
+2015,Treptow-Köpenick,90311,Grünau,2,2,25,10,16,280,10,46,72,22,3,2,57,5,2,114
+2015,Treptow-Köpenick,90312,Schmöckwitz/Karolinenhof/Rauchfangswerder,0,0,21,5,6,128,4,25,9,38,2,2,30,2,1,46
+2015,Treptow-Köpenick,90413,Köpenick-Süd,2,2,93,19,37,379,28,89,77,14,20,5,106,2,14,213
+2015,Treptow-Köpenick,90414,Allende-Viertel,3,1,49,7,13,237,13,19,46,4,0,0,33,2,6,87
+2015,Treptow-Köpenick,90415,Altstadt-Kietz,0,0,99,21,33,233,5,37,57,5,10,7,84,7,13,190
+2015,Treptow-Köpenick,90416,Müggelheim,0,0,30,4,17,101,1,28,7,13,2,2,32,1,2,64
+2015,Treptow-Köpenick,90517,Friedrichshagen,7,2,55,12,29,689,26,109,253,22,7,4,132,30,4,192
+2015,Treptow-Köpenick,90518,Rahnsdorf/Hessenwinkel,1,0,43,12,16,311,7,66,93,52,9,4,70,12,5,80
+2015,Treptow-Köpenick,90519,Dammvorstadt,16,9,185,48,40,773,6,51,127,15,5,3,156,29,80,388
+2015,Treptow-Köpenick,90520,Köpenick-Nord,3,0,43,8,29,347,13,60,97,41,4,1,108,14,2,172
+2015,Treptow-Köpenick,99900,"Bezirk (Tp-Kp), Nicht Zuzuordnen",11,7,35,5,21,443,15,139,101,1,9,4,72,13,20,102
+2015,Marzahn-Hellersdorf,100101,Marzahn-Nord,26,16,335,56,107,569,40,113,79,21,24,8,231,33,39,623
+2015,Marzahn-Hellersdorf,100102,Marzahn-Mitte,51,27,668,131,178,1851,135,448,127,62,39,9,491,51,69,1249
+2015,Marzahn-Hellersdorf,100103,Marzahn-Süd,39,18,345,66,91,1739,127,384,87,111,25,6,379,62,44,734
+2015,Marzahn-Hellersdorf,100204,Hellersdorf-Nord,33,16,607,106,200,1589,73,262,122,47,28,4,538,108,81,1254
+2015,Marzahn-Hellersdorf,100205,Hellersdorf-Ost,14,8,243,44,83,583,32,129,79,14,12,3,270,53,45,515
+2015,Marzahn-Hellersdorf,100206,Hellersdorf-Süd,23,15,246,36,79,625,41,124,70,32,32,3,206,51,33,506
+2015,Marzahn-Hellersdorf,100307,Biesdorf,11,6,137,28,60,1288,46,221,180,169,10,2,202,49,25,308
+2015,Marzahn-Hellersdorf,100408,Kaulsdorf,3,1,96,19,22,534,28,95,98,102,3,3,105,18,16,168
+2015,Marzahn-Hellersdorf,100409,Mahlsdorf,4,2,77,13,32,639,44,111,129,125,8,4,122,20,9,182
+2015,Marzahn-Hellersdorf,109900,"Bezirk (Mz-Hd), Nicht Zuzuordnen",18,12,87,35,23,207,18,54,24,1,5,2,111,20,6,181
+2015,Lichtenberg,110101,"Malchow, Wartenberg Und Falkenberg",4,2,29,4,9,145,3,17,17,11,2,1,27,3,3,55
+2015,Lichtenberg,110102,Neu-Hohenschönhausen Nord,13,8,310,54,67,710,81,133,88,17,20,7,208,28,42,609
+2015,Lichtenberg,110103,Neu-Hohenschönhausen Süd,18,5,282,61,64,916,64,114,90,38,15,4,175,15,35,558
+2015,Lichtenberg,110204,Alt-Hohenschönhausen Nord,16,6,138,37,37,924,16,104,67,107,5,2,143,7,16,332
+2015,Lichtenberg,110205,Alt-Hohenschönhausen Süd,19,7,234,43,58,1493,123,324,191,102,11,4,235,39,20,679
+2015,Lichtenberg,110306,Fennpfuhl,24,14,179,35,65,1414,103,326,223,90,12,5,323,78,36,578
+2015,Lichtenberg,110307,Alt-Lichtenberg,39,21,365,97,106,2157,72,326,267,96,25,13,383,114,38,846
+2015,Lichtenberg,110308,Frankfurter Allee Süd,17,7,89,16,17,690,26,114,123,28,11,5,106,19,73,240
+2015,Lichtenberg,110409,Neu Lichtenberg,25,16,263,51,63,1669,62,201,303,63,14,6,371,106,50,683
+2015,Lichtenberg,110410,Friedrichsfelde Nord,8,3,132,29,26,561,51,107,43,52,7,1,114,26,13,284
+2015,Lichtenberg,110411,Friedrichsfelde Süd,8,6,134,28,51,722,43,105,109,50,10,4,210,51,12,341
+2015,Lichtenberg,110512,Rummelsburger Bucht,3,3,37,15,8,212,10,26,37,16,1,0,42,8,13,89
+2015,Lichtenberg,110513,Karlshorst,6,2,110,21,44,856,49,144,226,60,15,6,148,25,22,278
+2015,Lichtenberg,119900,"Bezirk (Lb), Nicht Zuzuordnen",12,10,32,11,30,316,32,92,70,0,0,0,48,19,14,97
+2015,Reinickendorf,121031,Ost 1 - Reginhardstr.,39,17,428,99,148,1150,39,201,124,74,17,7,276,28,89,923
+2015,Reinickendorf,121032,Ost 2 - Alt-Reinickendorf,42,24,304,68,119,1575,42,346,160,68,20,6,311,61,132,805
+2015,Reinickendorf,122141,West 1 - Tegel-Süd/Flughafensee,9,3,195,41,103,793,26,156,33,47,8,3,120,13,206,426
+2015,Reinickendorf,122144,West 4 - Auguste-Viktoria-Allee,32,15,376,89,136,1667,37,224,120,58,9,4,300,48,64,966
+2015,Reinickendorf,122145,West 5 - Tegel/Tegeler Forst,17,9,183,51,44,1057,3,56,117,27,5,2,158,47,56,419
+2015,Reinickendorf,122242,West 2 - Heiligensee/Konradshöhe,5,1,88,18,40,545,25,151,80,112,5,2,163,36,23,195
+2015,Reinickendorf,122311,Nord 1 - Frohnau/Hermsdorf,27,14,115,21,55,1016,36,325,183,191,5,3,190,27,30,306
+2015,Reinickendorf,123012,Nord 2 - Waidmannslust/Wittenau/Lübars,42,25,342,73,137,1579,42,284,153,122,18,8,258,61,75,702
+2015,Reinickendorf,123021,Mv 1 - Märkisches Viertel,65,33,508,134,202,2052,72,365,122,42,35,9,308,19,96,1448
+2015,Reinickendorf,123022,Mv 2 - Rollbergsiedlung,22,7,112,21,55,415,15,81,25,29,3,3,256,191,16,225
+2015,Reinickendorf,123043,West 3 - Borsigwalde/Freie Scholle,12,4,127,28,58,592,14,119,46,52,2,1,121,11,24,313
+2015,Reinickendorf,129900,"Bezirk (Rd), Nicht Zuzuordnen",13,11,113,10,55,1394,21,144,69,1,4,2,72,8,58,231
+2016,Mitte,10111,Tiergarten Süd,65,54,462,108,125,2519,15,286,231,64,12,2,239,31,139,883
+2016,Mitte,10112,Regierungsviertel,94,66,483,86,124,5797,15,242,310,54,10,3,350,111,70,904
+2016,Mitte,10113,Alexanderplatz,165,102,1338,368,313,12479,80,779,1266,222,47,20,1065,328,534,2825
+2016,Mitte,10114,Brunnenstraße Süd,34,23,251,52,79,2631,65,239,541,91,19,7,399,171,67,831
+2016,Mitte,10221,Moabit West,103,57,717,222,189,3146,51,511,468,138,45,18,576,71,642,1617
+2016,Mitte,10222,Moabit Ost,79,42,770,185,217,3372,38,484,514,147,44,12,480,69,444,1668
+2016,Mitte,10331,Osloer Straße,85,49,754,184,216,3922,46,463,337,187,34,12,481,74,249,1547
+2016,Mitte,10332,Brunnenstraße Nord,81,42,601,179,184,3139,72,445,346,141,35,8,532,131,236,1299
+2016,Mitte,10441,Parkviertel,64,32,686,172,222,3774,63,557,367,120,20,11,597,105,205,1711
+2016,Mitte,10442,Wedding Zentrum,115,67,1033,285,295,4270,57,627,442,190,35,14,690,145,651,2121
+2016,Mitte,19900,"Bezirk (Mi), Nicht Zuzuordnen",91,77,310,95,83,3736,31,340,216,0,8,5,167,32,113,609
+2016,Friedrichshain-Kreuzberg,20101,Südliche Friedrichstadt,192,114,689,230,199,4851,67,776,587,136,44,11,671,114,749,1646
+2016,Friedrichshain-Kreuzberg,20202,Tempelhofer Vorstadt,114,60,792,231,237,6237,130,708,1155,204,55,31,901,187,284,1947
+2016,Friedrichshain-Kreuzberg,20303,Nördliche Luisenstadt,125,78,559,234,104,3295,24,274,359,63,25,7,528,162,608,1024
+2016,Friedrichshain-Kreuzberg,20304,Südliche Luisenstadt,137,90,435,158,90,2537,30,248,360,61,29,9,532,190,1078,935
+2016,Friedrichshain-Kreuzberg,20405,Karl-Marx-Allee-Nord,31,15,223,51,58,1568,67,213,265,78,17,10,298,71,28,821
+2016,Friedrichshain-Kreuzberg,20407,Karl-Marx-Allee-Süd,108,72,524,161,95,3281,47,236,411,61,15,4,454,123,421,1333
+2016,Friedrichshain-Kreuzberg,20506,Frankfurter Allee Nord,30,12,308,84,97,2150,34,195,508,63,54,15,618,128,143,1054
+2016,Friedrichshain-Kreuzberg,20508,Frankfurter Allee Süd Fk,129,69,899,249,158,4589,56,309,810,108,50,23,1164,416,956,2271
+2016,Friedrichshain-Kreuzberg,29900,"Bezirk (Fh-Kb), Nicht Zuzuordnen",81,64,130,55,46,1476,20,197,191,1,5,4,128,24,164,337
+2016,Pankow,30101,Buch,11,5,179,42,77,948,26,144,107,51,28,13,191,19,26,397
+2016,Pankow,30202,Blankenfelde/Niederschönhausen,7,0,151,27,61,784,25,139,132,91,15,9,174,35,27,373
+2016,Pankow,30203,Buchholz,1,0,43,5,41,460,28,96,38,53,3,1,100,32,9,141
+2016,Pankow,30304,Karow,5,2,71,12,23,379,9,74,88,72,14,5,82,15,12,140
+2016,Pankow,30307,Blankenburg/Heinersdorf/Märchenland,4,3,64,17,35,813,19,111,101,76,14,5,94,12,6,160
+2016,Pankow,30405,Schönholz/Wilhelmsruh/Rosenthal,8,3,72,14,25,519,16,110,75,64,7,5,94,20,8,186
+2016,Pankow,30406,Pankow Zentrum,23,14,240,43,96,2104,49,210,522,106,15,7,309,111,36,715
+2016,Pankow,30408,Pankow Süd,20,12,176,32,68,1384,42,239,386,60,15,5,323,78,39,672
+2016,Pankow,30509,Weißensee,32,22,330,72,123,1954,63,184,313,72,32,13,428,112,57,947
+2016,Pankow,30510,Weißensee Ost,9,1,119,18,46,667,31,122,76,37,15,7,181,50,33,358
+2016,Pankow,30611,Prenzlauer Berg Nordwest,33,19,229,59,82,2404,65,204,488,87,11,3,333,107,83,1138
+2016,Pankow,30612,Prenzlauer Berg Nord,26,10,158,37,63,2142,55,204,557,71,16,8,332,86,35,763
+2016,Pankow,30613,Helmholtzplatz,21,7,155,31,57,1546,28,96,352,71,10,3,262,86,45,723
+2016,Pankow,30614,Prenzlauer Berg Ost,37,21,293,71,78,2608,65,359,447,110,22,4,562,259,61,732
+2016,Pankow,30715,Prenzlauer Berg Südwest,25,9,327,93,89,2569,66,233,535,114,15,5,372,158,28,993
+2016,Pankow,30716,Prenzlauer Berg Süd,19,8,157,33,44,1730,85,271,442,97,13,4,372,117,39,739
+2016,Pankow,39900,"Bezirk (Pk), Nicht Zuzuordnen",35,27,70,22,27,813,48,187,176,0,8,2,87,13,51,194
+2016,Charlottenburg-Wilmersdorf,40101,Charlottenburg-Nord,37,17,312,71,134,1352,61,382,66,51,20,12,274,26,197,772
+2016,Charlottenburg-Wilmersdorf,40202,Heerstrasse,9,5,146,39,32,616,26,125,68,79,6,3,136,42,23,285
+2016,Charlottenburg-Wilmersdorf,40203,Westend,26,11,318,64,128,2938,77,393,172,69,13,6,268,35,36,755
+2016,Charlottenburg-Wilmersdorf,40304,Schloß Charlottenburg,17,6,229,32,81,1294,44,190,228,59,14,9,196,17,46,556
+2016,Charlottenburg-Wilmersdorf,40305,Mierendorffplatz,26,11,136,25,77,866,23,153,84,28,8,4,194,49,38,366
+2016,Charlottenburg-Wilmersdorf,40306,Otto-Suhr-Allee,48,29,430,91,131,2747,37,367,409,90,25,10,426,103,58,957
+2016,Charlottenburg-Wilmersdorf,40307,Neue Kantstraße,42,23,231,62,91,1586,69,301,278,61,10,6,191,21,56,625
+2016,Charlottenburg-Wilmersdorf,40308,Kantstraße,46,25,312,67,84,3036,24,178,353,88,7,4,234,27,147,710
+2016,Charlottenburg-Wilmersdorf,40309,Kurfürstendamm,110,61,687,177,163,4770,38,317,275,72,11,5,368,68,99,1261
+2016,Charlottenburg-Wilmersdorf,40310,Halensee,15,7,112,28,60,1122,34,217,112,52,3,1,105,9,21,385
+2016,Charlottenburg-Wilmersdorf,40411,Grunewald,9,7,95,13,57,882,55,248,94,159,8,3,128,20,18,351
+2016,Charlottenburg-Wilmersdorf,40412,Schmargendorf,7,2,84,15,34,657,32,193,63,62,7,1,78,6,8,209
+2016,Charlottenburg-Wilmersdorf,40413,Wiesbadener Straße,9,7,78,14,30,727,36,143,225,38,6,2,109,26,10,225
+2016,Charlottenburg-Wilmersdorf,40514,Düsseldorfer Straße,36,22,225,43,106,2084,66,413,315,101,9,5,338,147,59,710
+2016,Charlottenburg-Wilmersdorf,40515,Barstraße,9,5,136,28,47,805,26,142,195,29,8,1,97,16,27,295
+2016,Charlottenburg-Wilmersdorf,40516,Volkspark Wilmersdorf,43,24,263,60,88,2153,54,313,418,57,10,4,229,43,71,666
+2016,Charlottenburg-Wilmersdorf,40617,Forst Grunewald,0,0,13,4,4,80,0,14,3,0,4,4,10,2,2,19
+2016,Charlottenburg-Wilmersdorf,49900,"Bezirk (Ch-Wi), Nicht Zuzuordnen",34,30,112,32,71,1178,53,256,88,0,6,3,116,11,32,294
+2016,Spandau,50101,Hakenfelde,14,8,204,46,64,953,28,187,84,55,20,10,173,11,21,456
+2016,Spandau,50102,Falkenhagener Feld,28,12,432,86,173,1284,42,233,147,106,29,10,322,36,38,977
+2016,Spandau,50103,Spandau Mitte,78,53,697,179,236,2606,39,279,271,75,16,5,451,57,179,1374
+2016,Spandau,50204,Brunsbütteler Damm,13,6,158,33,52,807,34,135,60,81,14,4,201,25,20,390
+2016,Spandau,50205,Heerstraße Nord,26,13,417,93,137,1103,20,155,64,115,32,14,351,96,40,908
+2016,Spandau,50206,Wilhelmstadt,50,22,548,131,188,2642,41,295,240,130,18,6,410,33,67,1206
+2016,Spandau,50307,Haselhorst,21,9,174,34,63,900,37,154,68,29,18,8,123,16,30,377
+2016,Spandau,50308,Siemensstadt,11,8,128,27,56,824,22,115,66,19,7,3,162,22,21,341
+2016,Spandau,50409,Gatow/Kladow,4,4,98,21,47,472,28,65,49,94,8,3,80,3,8,198
+2016,Spandau,59900,"Bezirk (Sp), Nicht Zuzuordnen",20,20,53,20,36,391,16,103,22,1,4,4,51,5,22,143
+2016,Steglitz-Zehlendorf,60101,Schloßstr.,36,20,188,44,60,2621,37,207,384,66,8,5,197,35,26,492
+2016,Steglitz-Zehlendorf,60102,Albrechtstr.,23,9,264,43,129,1618,103,362,266,127,31,21,344,45,62,771
+2016,Steglitz-Zehlendorf,60203,Lankwitz,23,12,250,54,110,1249,88,228,111,95,29,9,337,39,79,607
+2016,Steglitz-Zehlendorf,60204,Ostpreußendamm,11,5,246,47,79,1179,67,242,240,105,14,8,303,41,36,566
+2016,Steglitz-Zehlendorf,60305,Teltower Damm,13,10,192,29,83,1414,48,196,489,150,9,2,303,46,35,481
+2016,Steglitz-Zehlendorf,60306,Drakestr.,14,8,239,49,97,1944,92,413,304,204,8,3,286,56,41,584
+2016,Steglitz-Zehlendorf,60407,Zehlendorf Südwest,11,3,147,30,78,1030,43,228,158,115,15,6,198,28,28,367
+2016,Steglitz-Zehlendorf,60408,Zehlendorf Nord,20,14,182,45,84,2408,107,647,463,298,15,4,504,201,42,546
+2016,Steglitz-Zehlendorf,69900,"Bezirk (St-Zd), Nicht Zuzuordnen",11,7,34,6,27,509,16,87,128,2,13,8,69,7,12,114
+2016,Tempelhof-Schöneberg,70101,Schöneberg-Nord,158,101,771,198,236,4929,71,460,649,157,29,12,685,97,293,1964
+2016,Tempelhof-Schöneberg,70202,Schöneberg-Süd,43,28,535,105,166,3348,79,360,769,127,27,14,484,84,178,1300
+2016,Tempelhof-Schöneberg,70303,Friedenau,37,25,234,43,106,2899,83,437,511,79,24,14,405,109,50,760
+2016,Tempelhof-Schöneberg,70404,Tempelhof,68,32,716,156,265,4156,197,761,456,116,48,9,740,178,236,1674
+2016,Tempelhof-Schöneberg,70505,Mariendorf,33,17,361,74,147,1922,109,411,166,212,39,21,470,80,90,933
+2016,Tempelhof-Schöneberg,70606,Marienfelde,20,11,257,44,75,1073,55,179,159,49,22,6,217,16,54,504
+2016,Tempelhof-Schöneberg,70707,Lichtenrade,22,11,345,61,100,1433,114,340,175,246,24,9,317,35,103,700
+2016,Tempelhof-Schöneberg,79900,"Bezirk (Th-Sb), Nicht Zuzuordnen",34,30,67,15,50,826,37,124,147,0,13,5,96,19,37,205
+2016,Neukölln,80101,Schillerpromenade,67,38,563,189,151,2423,29,264,262,102,29,15,451,105,333,1424
+2016,Neukölln,80102,Neuköllner Mitte/Zentrum,114,56,755,241,198,4823,56,387,377,124,33,14,637,88,174,1796
+2016,Neukölln,80103,Reuterstraße,76,43,500,160,164,3379,29,261,486,109,22,12,527,190,154,1346
+2016,Neukölln,80104,Rixdorf,68,38,483,150,157,2506,56,338,408,132,33,19,495,70,141,1443
+2016,Neukölln,80105,Köllnische Heide,17,8,239,59,101,1368,54,277,48,72,17,9,299,22,70,786
+2016,Neukölln,80206,Britz,55,31,471,115,191,2431,112,566,166,218,47,24,482,64,71,1285
+2016,Neukölln,80207,Buckow,12,9,180,51,76,653,50,193,39,98,13,5,198,20,20,423
+2016,Neukölln,80308,Gropiusstadt,47,32,338,96,148,1902,54,236,152,84,18,5,532,48,53,1061
+2016,Neukölln,80409,Buckow Nord,5,0,100,20,42,547,26,117,48,36,5,3,71,5,12,234
+2016,Neukölln,80410,Rudow,24,14,313,74,120,1461,142,324,143,253,14,6,313,23,37,666
+2016,Neukölln,89900,"Bezirk (Nk), Nicht Zuzuordnen",28,21,84,35,63,818,25,155,46,0,8,4,55,6,42,198
+2016,Treptow-Köpenick,90101,Alt-Treptow,35,21,149,36,41,1197,22,111,319,38,18,10,180,45,71,378
+2016,Treptow-Köpenick,90102,Plänterwald,6,4,72,18,18,660,60,119,108,41,4,2,106,28,9,227
+2016,Treptow-Köpenick,90103,Baumschulenweg,13,7,120,35,57,903,54,139,172,83,7,5,142,38,13,359
+2016,Treptow-Köpenick,90104,Johannisthal,7,4,108,20,46,757,43,127,163,81,3,2,112,12,14,309
+2016,Treptow-Köpenick,90205,Oberschöneweide,11,8,268,71,76,1107,66,146,233,41,20,12,288,64,45,617
+2016,Treptow-Köpenick,90206,Niederschöneweide,13,8,147,24,39,1010,38,83,174,13,5,2,127,31,32,292
+2016,Treptow-Köpenick,90207,Adlershof,11,4,166,32,49,1251,68,125,306,32,11,4,198,46,18,376
+2016,Treptow-Köpenick,90208,Köllnische Vorstadt/Spindlersfeld,4,2,111,16,30,385,30,58,81,15,4,1,109,19,12,247
+2016,Treptow-Köpenick,90309,Altglienicke,3,2,160,24,66,821,85,246,79,107,13,9,166,26,16,360
+2016,Treptow-Köpenick,90310,Bohnsdorf,3,0,101,25,39,488,28,81,57,52,3,2,66,13,15,187
+2016,Treptow-Köpenick,90311,Grünau,1,1,30,10,22,309,8,53,72,22,3,2,45,7,10,119
+2016,Treptow-Köpenick,90312,Schmöckwitz/Karolinenhof/Rauchfangswerder,0,0,19,2,4,115,6,17,7,24,1,1,13,1,1,29
+2016,Treptow-Köpenick,90413,Köpenick-Süd,2,1,104,17,22,385,34,81,89,13,16,8,88,15,5,187
+2016,Treptow-Köpenick,90414,Allende-Viertel,1,1,29,9,14,215,18,17,24,9,3,2,46,3,4,68
+2016,Treptow-Köpenick,90415,Altstadt-Kietz,2,2,117,25,38,246,9,26,79,8,1,1,105,22,14,239
+2016,Treptow-Köpenick,90416,Müggelheim,0,0,16,3,16,98,12,20,14,8,5,4,47,11,1,57
+2016,Treptow-Köpenick,90517,Friedrichshagen,6,3,117,20,38,647,31,67,254,17,6,3,161,39,19,236
+2016,Treptow-Köpenick,90518,Rahnsdorf/Hessenwinkel,5,1,38,6,15,327,11,53,142,32,8,2,57,8,3,81
+2016,Treptow-Köpenick,90519,Dammvorstadt,8,5,128,33,36,724,11,32,161,14,7,2,162,54,41,307
+2016,Treptow-Köpenick,90520,Köpenick-Nord,5,2,54,6,17,327,15,47,114,43,13,2,82,13,5,135
+2016,Treptow-Köpenick,99900,"Bezirk (Tp-Kp), Nicht Zuzuordnen",10,9,85,19,35,552,27,124,124,0,10,5,88,18,23,169
+2016,Marzahn-Hellersdorf,100101,Marzahn-Nord,26,18,361,60,97,668,62,128,82,22,18,7,266,70,34,660
+2016,Marzahn-Hellersdorf,100102,Marzahn-Mitte,51,27,735,134,176,2113,147,417,160,30,56,12,577,85,78,1483
+2016,Marzahn-Hellersdorf,100103,Marzahn-Süd,46,22,355,66,128,1954,167,446,116,109,36,14,427,69,44,872
+2016,Marzahn-Hellersdorf,100204,Hellersdorf-Nord,21,11,656,113,180,1606,66,262,115,42,34,9,634,175,61,1209
+2016,Marzahn-Hellersdorf,100205,Hellersdorf-Ost,26,18,290,58,96,643,39,116,103,18,33,9,296,68,49,607
+2016,Marzahn-Hellersdorf,100206,Hellersdorf-Süd,22,14,233,37,79,789,58,113,79,36,8,5,288,88,34,562
+2016,Marzahn-Hellersdorf,100307,Biesdorf,10,7,150,30,42,1208,38,172,183,167,9,3,169,31,31,325
+2016,Marzahn-Hellersdorf,100408,Kaulsdorf,7,2,99,14,38,520,24,80,98,93,6,2,102,8,3,194
+2016,Marzahn-Hellersdorf,100409,Mahlsdorf,7,5,78,9,42,634,33,104,127,120,2,1,97,16,10,172
+2016,Marzahn-Hellersdorf,109900,"Bezirk (Mz-Hd), Nicht Zuzuordnen",19,16,48,17,20,229,15,54,25,1,8,2,60,20,13,104
+2016,Lichtenberg,110101,"Malchow, Wartenberg Und Falkenberg",0,0,38,13,16,175,5,15,13,17,2,2,31,10,2,68
+2016,Lichtenberg,110102,Neu-Hohenschönhausen Nord,26,16,271,43,72,678,64,141,89,27,17,5,201,31,55,574
+2016,Lichtenberg,110103,Neu-Hohenschönhausen Süd,19,11,327,63,79,965,60,152,88,19,18,4,233,27,42,646
+2016,Lichtenberg,110204,Alt-Hohenschönhausen Nord,7,2,171,29,50,912,31,121,61,67,7,3,131,12,26,347
+2016,Lichtenberg,110205,Alt-Hohenschönhausen Süd,26,21,203,40,59,1481,119,445,168,86,14,4,265,46,26,558
+2016,Lichtenberg,110306,Fennpfuhl,26,17,269,51,103,1591,140,450,245,95,28,5,359,69,22,691
+2016,Lichtenberg,110307,Alt-Lichtenberg,48,25,494,117,128,2763,92,355,326,95,28,15,399,96,56,1039
+2016,Lichtenberg,110308,Frankfurter Allee Süd,15,9,97,29,36,768,56,138,162,15,10,10,106,21,83,227
+2016,Lichtenberg,110409,Neu Lichtenberg,27,13,274,53,92,1693,49,179,403,65,14,7,400,124,47,740
+2016,Lichtenberg,110410,Friedrichsfelde Nord,7,5,137,21,42,571,41,132,82,21,6,1,149,28,24,280
+2016,Lichtenberg,110411,Friedrichsfelde Süd,13,9,185,41,68,867,68,179,114,51,13,6,191,47,14,437
+2016,Lichtenberg,110512,Rummelsburger Bucht,1,1,27,7,8,294,9,34,83,20,8,6,22,8,6,88
+2016,Lichtenberg,110513,Karlshorst,10,7,120,27,56,963,41,152,297,81,7,5,151,27,23,350
+2016,Lichtenberg,119900,"Bezirk (Lb), Nicht Zuzuordnen",12,11,51,13,20,405,32,106,62,1,5,2,77,10,3,136
+2016,Reinickendorf,121031,Ost 1 - Reginhardstr.,40,17,391,100,158,1348,42,278,149,95,31,17,330,30,96,1062
+2016,Reinickendorf,121032,Ost 2 - Alt-Reinickendorf,45,25,295,65,140,1568,44,293,147,88,15,6,303,58,160,804
+2016,Reinickendorf,122141,West 1 - Tegel-Süd/Flughafensee,9,2,257,65,92,1006,29,224,63,38,7,3,163,14,232,521
+2016,Reinickendorf,122144,West 4 - Auguste-Viktoria-Allee,30,15,320,85,136,1610,36,262,93,51,19,9,306,75,79,784
+2016,Reinickendorf,122145,West 5 - Tegel/Tegeler Forst,25,14,207,45,61,1090,9,56,109,31,3,1,183,31,29,471
+2016,Reinickendorf,122242,West 2 - Heiligensee/Konradshöhe,7,3,87,16,48,436,37,55,65,79,7,3,131,28,36,211
+2016,Reinickendorf,122311,Nord 1 - Frohnau/Hermsdorf,17,8,108,28,44,1028,37,176,252,276,15,4,199,35,56,282
+2016,Reinickendorf,123012,Nord 2 - Waidmannslust/Wittenau/Lübars,42,21,370,92,139,1699,47,213,144,152,22,7,304,75,93,813
+2016,Reinickendorf,123021,Mv 1 - Märkisches Viertel,59,37,485,133,185,1771,56,342,109,69,43,13,389,72,105,1181
+2016,Reinickendorf,123022,Mv 2 - Rollbergsiedlung,13,7,83,24,52,421,14,69,17,35,7,1,245,151,31,231
+2016,Reinickendorf,123043,West 3 - Borsigwalde/Freie Scholle,10,3,132,21,69,671,36,98,72,44,7,1,129,14,33,340
+2016,Reinickendorf,129900,"Bezirk (Rd), Nicht Zuzuordnen",14,10,116,29,49,1193,17,208,77,1,1,0,65,11,21,230
+2017,Mitte,10111,Tiergarten Süd,62,39,521,145,127,2603,30,325,347,50,9,2,260,42,179,1143
+2017,Mitte,10112,Regierungsviertel,40,17,456,87,159,4592,16,222,309,75,5,0,362,112,87,931
+2017,Mitte,10113,Alexanderplatz,143,90,1763,478,317,10596,87,705,929,148,45,16,1162,351,804,3227
+2017,Mitte,10114,Brunnenstraße Süd,38,18,256,62,64,2277,35,290,462,77,17,11,449,195,81,886
+2017,Mitte,10221,Moabit West,66,40,690,177,215,2602,35,400,428,102,25,10,546,81,792,1436
+2017,Mitte,10222,Moabit Ost,50,33,698,161,218,4458,28,391,446,82,29,10,478,76,462,1368
+2017,Mitte,10331,Osloer Straße,55,36,736,174,252,2740,41,371,244,86,36,15,441,71,227,1391
+2017,Mitte,10332,Brunnenstraße Nord,58,29,659,178,234,3069,76,417,346,94,34,13,542,204,197,1337
+2017,Mitte,10441,Parkviertel,83,45,755,159,259,2863,52,484,287,129,26,12,506,130,200,1566
+2017,Mitte,10442,Wedding Zentrum,99,59,1038,276,291,3550,45,491,405,117,53,23,703,194,655,1992
+2017,Mitte,19900,"Bezirk (Mi), Nicht Zuzuordnen",69,59,284,105,85,2565,40,344,175,0,8,1,176,32,155,623
+2017,Friedrichshain-Kreuzberg,20101,Südliche Friedrichstadt,115,61,692,233,223,3953,49,611,454,82,42,18,640,121,1003,1524
+2017,Friedrichshain-Kreuzberg,20202,Tempelhofer Vorstadt,96,50,773,241,243,5745,114,751,1288,110,13,7,754,145,247,1808
+2017,Friedrichshain-Kreuzberg,20303,Nördliche Luisenstadt,78,54,511,183,114,2632,22,232,294,42,22,2,403,121,683,963
+2017,Friedrichshain-Kreuzberg,20304,Südliche Luisenstadt,96,64,393,162,84,2095,31,225,412,60,24,9,458,179,781,897
+2017,Friedrichshain-Kreuzberg,20405,Karl-Marx-Allee-Nord,21,14,171,47,60,1304,42,240,262,78,10,8,276,91,25,512
+2017,Friedrichshain-Kreuzberg,20407,Karl-Marx-Allee-Süd,65,45,639,220,108,2802,50,239,295,54,10,6,472,143,595,1117
+2017,Friedrichshain-Kreuzberg,20506,Frankfurter Allee Nord,26,12,320,101,76,1894,29,184,377,56,28,11,516,137,126,860
+2017,Friedrichshain-Kreuzberg,20508,Frankfurter Allee Süd Fk,74,47,902,353,186,3733,55,332,597,129,29,6,1017,371,949,2026
+2017,Friedrichshain-Kreuzberg,29900,"Bezirk (Fh-Kb), Nicht Zuzuordnen",37,27,135,49,45,1050,21,167,140,0,1,1,93,16,132,281
+2017,Pankow,30101,Buch,16,7,208,52,62,655,19,84,117,24,19,6,211,46,36,423
+2017,Pankow,30202,Blankenfelde/Niederschönhausen,5,1,108,25,41,711,20,174,109,49,6,3,157,47,10,282
+2017,Pankow,30203,Buchholz,5,2,49,7,28,372,21,75,44,20,4,0,89,16,9,146
+2017,Pankow,30304,Karow,4,3,87,18,33,406,13,54,96,73,3,0,75,13,19,173
+2017,Pankow,30307,Blankenburg/Heinersdorf/Märchenland,7,2,118,32,33,655,20,72,110,53,14,8,98,27,11,200
+2017,Pankow,30405,Schönholz/Wilhelmsruh/Rosenthal,12,7,55,12,27,480,13,120,58,63,2,1,93,15,5,172
+2017,Pankow,30406,Pankow Zentrum,35,23,247,61,98,1807,48,204,496,75,21,9,382,123,39,736
+2017,Pankow,30408,Pankow Süd,15,5,208,62,82,1273,70,238,342,45,8,0,293,104,28,552
+2017,Pankow,30509,Weißensee,30,16,376,96,117,1447,51,200,260,60,17,7,391,97,52,801
+2017,Pankow,30510,Weißensee Ost,12,7,149,22,50,593,19,115,106,18,14,5,157,34,37,335
+2017,Pankow,30611,Prenzlauer Berg Nordwest,29,11,254,92,65,1873,34,169,417,41,11,7,301,127,118,787
+2017,Pankow,30612,Prenzlauer Berg Nord,26,13,161,44,53,1772,57,163,426,58,7,0,279,78,46,690
+2017,Pankow,30613,Helmholtzplatz,15,7,188,54,47,1566,10,94,301,42,4,1,309,130,48,910
+2017,Pankow,30614,Prenzlauer Berg Ost,33,21,294,69,94,2063,69,357,302,76,31,14,473,224,53,664
+2017,Pankow,30715,Prenzlauer Berg Südwest,21,5,352,103,67,1997,39,318,356,80,13,3,368,133,50,791
+2017,Pankow,30716,Prenzlauer Berg Süd,17,9,167,39,65,1461,47,284,352,55,18,8,359,167,33,582
+2017,Pankow,39900,"Bezirk (Pk), Nicht Zuzuordnen",21,15,82,16,51,626,32,157,132,0,3,2,91,20,38,222
+2017,Charlottenburg-Wilmersdorf,40101,Charlottenburg-Nord,23,9,331,82,116,1083,80,372,105,40,9,2,261,17,198,756
+2017,Charlottenburg-Wilmersdorf,40202,Heerstrasse,16,9,127,36,23,626,37,161,72,67,10,5,169,50,41,279
+2017,Charlottenburg-Wilmersdorf,40203,Westend,27,19,325,78,123,2465,105,354,174,70,15,8,272,38,36,732
+2017,Charlottenburg-Wilmersdorf,40304,Schloß Charlottenburg,17,8,241,42,93,1179,34,166,236,69,6,3,261,91,37,582
+2017,Charlottenburg-Wilmersdorf,40305,Mierendorffplatz,12,8,169,33,68,960,30,191,141,38,2,1,180,32,41,460
+2017,Charlottenburg-Wilmersdorf,40306,Otto-Suhr-Allee,30,13,436,105,132,2361,49,283,417,84,25,8,390,94,78,1054
+2017,Charlottenburg-Wilmersdorf,40307,Neue Kantstraße,28,12,223,44,81,1885,67,266,260,64,11,6,237,66,69,636
+2017,Charlottenburg-Wilmersdorf,40308,Kantstraße,35,17,291,74,84,2591,29,158,286,72,14,4,233,31,58,757
+2017,Charlottenburg-Wilmersdorf,40309,Kurfürstendamm,73,32,718,203,156,4225,53,316,185,55,11,5,384,109,131,1252
+2017,Charlottenburg-Wilmersdorf,40310,Halensee,13,7,92,22,46,1017,38,185,124,42,4,3,126,32,11,341
+2017,Charlottenburg-Wilmersdorf,40411,Grunewald,10,6,109,17,52,788,53,250,79,98,5,1,198,94,18,327
+2017,Charlottenburg-Wilmersdorf,40412,Schmargendorf,3,1,55,18,25,540,39,131,64,38,4,2,76,10,9,162
+2017,Charlottenburg-Wilmersdorf,40413,Wiesbadener Straße,7,4,72,7,21,514,20,109,160,39,2,1,112,41,14,196
+2017,Charlottenburg-Wilmersdorf,40514,Düsseldorfer Straße,42,16,235,46,94,1993,99,332,296,96,13,7,338,144,53,726
+2017,Charlottenburg-Wilmersdorf,40515,Barstraße,6,3,157,29,69,754,26,143,178,33,5,3,138,34,28,375
+2017,Charlottenburg-Wilmersdorf,40516,Volkspark Wilmersdorf,31,13,245,55,71,1996,62,289,469,56,17,4,308,88,77,626
+2017,Charlottenburg-Wilmersdorf,40617,Forst Grunewald,1,1,10,2,4,33,0,13,0,1,2,2,4,0,0,16
+2017,Charlottenburg-Wilmersdorf,49900,"Bezirk (Ch-Wi), Nicht Zuzuordnen",27,20,131,28,61,940,54,254,106,0,2,0,119,7,43,318
+2017,Spandau,50101,Hakenfelde,15,10,190,47,75,782,18,139,102,38,8,5,130,19,35,401
+2017,Spandau,50102,Falkenhagener Feld,34,17,424,87,121,1055,37,253,147,83,31,8,280,12,39,865
+2017,Spandau,50103,Spandau Mitte,79,46,665,159,224,2378,34,273,298,66,40,20,452,55,189,1308
+2017,Spandau,50204,Brunsbütteler Damm,12,4,173,33,63,826,37,149,94,52,10,4,201,31,19,388
+2017,Spandau,50205,Heerstraße Nord,26,10,412,108,135,1046,38,152,66,106,15,7,303,91,35,818
+2017,Spandau,50206,Wilhelmstadt,42,21,644,176,179,2950,33,233,279,89,17,8,484,72,79,1196
+2017,Spandau,50307,Haselhorst,18,8,171,48,58,725,30,142,65,55,5,3,119,25,32,366
+2017,Spandau,50308,Siemensstadt,10,9,143,32,42,763,33,149,110,36,10,5,155,44,22,343
+2017,Spandau,50409,Gatow/Kladow,10,5,84,26,35,420,24,48,68,77,10,5,97,8,5,170
+2017,Spandau,59900,"Bezirk (Sp), Nicht Zuzuordnen",10,8,54,15,48,358,22,98,43,1,2,2,60,7,21,144
+2017,Steglitz-Zehlendorf,60101,Schloßstr.,25,16,181,29,71,2405,35,152,348,36,15,2,209,44,45,434
+2017,Steglitz-Zehlendorf,60102,Albrechtstr.,22,8,287,57,110,1309,86,295,276,83,38,15,334,74,66,679
+2017,Steglitz-Zehlendorf,60203,Lankwitz,15,7,274,46,121,1014,49,185,122,67,14,4,329,34,70,643
+2017,Steglitz-Zehlendorf,60204,Ostpreußendamm,16,7,204,51,97,1018,50,179,185,104,13,6,288,69,42,484
+2017,Steglitz-Zehlendorf,60305,Teltower Damm,12,7,173,30,100,1066,40,165,371,92,15,5,258,56,37,447
+2017,Steglitz-Zehlendorf,60306,Drakestr.,11,1,156,42,83,1431,78,291,235,107,30,12,298,38,32,502
+2017,Steglitz-Zehlendorf,60407,Zehlendorf Südwest,15,7,138,36,85,1009,35,172,173,83,17,7,316,150,13,370
+2017,Steglitz-Zehlendorf,60408,Zehlendorf Nord,26,13,208,34,94,1785,94,363,395,196,26,5,484,193,46,553
+2017,Steglitz-Zehlendorf,69900,"Bezirk (St-Zd), Nicht Zuzuordnen",4,3,53,10,35,404,9,90,92,0,19,15,66,9,22,127
+2017,Tempelhof-Schöneberg,70101,Schöneberg-Nord,131,78,757,202,211,5144,71,376,723,159,34,19,569,82,390,2075
+2017,Tempelhof-Schöneberg,70202,Schöneberg-Süd,54,30,563,140,181,3309,67,399,626,82,22,10,550,130,185,1199
+2017,Tempelhof-Schöneberg,70303,Friedenau,26,13,269,57,98,2386,74,281,493,88,19,12,407,99,55,715
+2017,Tempelhof-Schöneberg,70404,Tempelhof,57,24,668,125,269,3766,107,876,435,106,60,15,696,186,241,1442
+2017,Tempelhof-Schöneberg,70505,Mariendorf,40,17,382,84,151,1637,81,460,166,108,29,9,369,48,82,871
+2017,Tempelhof-Schöneberg,70606,Marienfelde,17,4,245,45,96,973,49,225,109,49,18,8,263,36,49,553
+2017,Tempelhof-Schöneberg,70707,Lichtenrade,18,8,265,51,98,1133,82,248,106,127,26,9,288,50,60,557
+2017,Tempelhof-Schöneberg,79900,"Bezirk (Th-Sb), Nicht Zuzuordnen",12,10,48,16,35,661,31,147,87,0,8,1,57,5,33,130
+2017,Neukölln,80101,Schillerpromenade,68,42,424,138,124,2464,39,361,327,94,39,15,538,162,354,1238
+2017,Neukölln,80102,Neuköllner Mitte/Zentrum,86,37,779,232,215,4598,79,559,357,108,45,21,667,82,225,1862
+2017,Neukölln,80103,Reuterstraße,47,21,582,217,164,3005,44,292,437,78,25,9,532,143,182,1406
+2017,Neukölln,80104,Rixdorf,64,32,520,154,155,2323,41,288,375,121,21,6,508,109,284,1452
+2017,Neukölln,80105,Köllnische Heide,26,12,190,53,67,1151,44,257,51,38,19,9,218,20,55,548
+2017,Neukölln,80206,Britz,71,43,486,139,190,2335,86,560,173,162,36,28,434,65,89,1249
+2017,Neukölln,80207,Buckow,6,1,162,34,75,500,39,121,28,77,12,4,169,19,18,399
+2017,Neukölln,80308,Gropiusstadt,54,36,362,93,112,1643,63,241,185,70,6,6,302,30,27,928
+2017,Neukölln,80409,Buckow Nord,9,3,100,21,53,471,26,105,43,22,5,2,52,6,8,217
+2017,Neukölln,80410,Rudow,21,11,264,60,131,1191,110,300,128,197,25,6,276,28,22,600
+2017,Neukölln,89900,"Bezirk (Nk), Nicht Zuzuordnen",28,22,81,30,47,739,26,143,63,0,4,2,68,4,47,213
+2017,Treptow-Köpenick,90101,Alt-Treptow,44,25,184,51,48,1310,20,120,274,37,7,3,225,103,123,542
+2017,Treptow-Köpenick,90102,Plänterwald,6,3,80,18,35,501,41,138,105,19,7,5,133,30,17,207
+2017,Treptow-Köpenick,90103,Baumschulenweg,11,6,134,22,54,894,50,162,161,27,11,5,182,54,19,336
+2017,Treptow-Köpenick,90104,Johannisthal,7,6,127,26,51,654,61,180,88,37,6,1,138,28,26,287
+2017,Treptow-Köpenick,90205,Oberschöneweide,13,7,318,66,84,1082,49,251,157,25,13,7,303,55,66,671
+2017,Treptow-Köpenick,90206,Niederschöneweide,17,8,192,38,49,1083,55,99,153,14,9,3,251,140,44,351
+2017,Treptow-Köpenick,90207,Adlershof,19,11,125,29,43,1142,40,189,209,20,6,3,216,60,23,308
+2017,Treptow-Köpenick,90208,Köllnische Vorstadt/Spindlersfeld,5,4,120,25,31,313,13,92,52,9,2,0,113,23,22,239
+2017,Treptow-Köpenick,90309,Altglienicke,8,4,183,35,69,712,107,193,91,69,11,6,152,33,19,359
+2017,Treptow-Köpenick,90310,Bohnsdorf,7,2,112,27,32,459,43,65,39,41,2,1,99,21,16,204
+2017,Treptow-Köpenick,90311,Grünau,3,2,44,9,19,243,8,48,38,11,1,1,167,124,1,104
+2017,Treptow-Köpenick,90312,Schmöckwitz/Karolinenhof/Rauchfangswerder,1,0,14,5,8,69,4,14,11,5,1,0,29,11,1,30
+2017,Treptow-Köpenick,90413,Köpenick-Süd,4,2,71,14,35,278,23,59,37,29,4,0,131,19,26,173
+2017,Treptow-Köpenick,90414,Allende-Viertel,2,1,40,7,6,174,20,26,26,4,2,0,50,8,1,81
+2017,Treptow-Köpenick,90415,Altstadt-Kietz,5,5,109,12,28,193,9,35,50,4,4,3,106,12,19,210
+2017,Treptow-Köpenick,90416,Müggelheim,1,0,32,5,12,70,4,22,7,6,2,2,27,10,3,50
+2017,Treptow-Köpenick,90517,Friedrichshagen,4,3,87,19,35,579,42,77,180,8,4,1,172,62,11,218
+2017,Treptow-Köpenick,90518,Rahnsdorf/Hessenwinkel,4,3,58,12,16,275,12,77,79,25,0,0,60,11,2,95
+2017,Treptow-Köpenick,90519,Dammvorstadt,15,7,142,38,46,686,10,74,105,18,7,5,159,49,24,291
+2017,Treptow-Köpenick,90520,Köpenick-Nord,4,3,50,13,16,253,18,58,67,30,2,0,75,23,7,114
+2017,Treptow-Köpenick,99900,"Bezirk (Tp-Kp), Nicht Zuzuordnen",20,11,84,26,33,483,45,121,94,1,4,2,83,14,25,172
+2017,Marzahn-Hellersdorf,100101,Marzahn-Nord,22,13,363,66,92,723,69,111,101,22,20,9,255,73,26,678
+2017,Marzahn-Hellersdorf,100102,Marzahn-Mitte,39,26,696,124,195,2351,174,445,155,53,35,9,519,81,79,1574
+2017,Marzahn-Hellersdorf,100103,Marzahn-Süd,20,9,392,73,116,1765,169,435,101,64,18,6,337,49,48,882
+2017,Marzahn-Hellersdorf,100204,Hellersdorf-Nord,39,22,581,111,139,1470,88,186,105,25,30,11,617,199,89,1085
+2017,Marzahn-Hellersdorf,100205,Hellersdorf-Ost,24,11,291,51,69,558,22,74,113,12,14,2,218,65,23,526
+2017,Marzahn-Hellersdorf,100206,Hellersdorf-Süd,10,6,291,51,86,668,66,101,64,17,9,1,283,101,41,555
+2017,Marzahn-Hellersdorf,100307,Biesdorf,18,8,181,33,65,1112,38,156,159,133,9,4,237,68,16,409
+2017,Marzahn-Hellersdorf,100408,Kaulsdorf,8,4,190,13,35,455,13,72,99,55,3,2,142,28,13,307
+2017,Marzahn-Hellersdorf,100409,Mahlsdorf,9,3,101,19,44,543,20,88,101,77,2,0,196,83,10,206
+2017,Marzahn-Hellersdorf,109900,"Bezirk (Mz-Hd), Nicht Zuzuordnen",10,9,66,17,30,296,17,64,49,0,0,0,67,21,12,134
+2017,Lichtenberg,110101,"Malchow, Wartenberg Und Falkenberg",1,0,25,4,10,117,0,17,11,23,4,2,23,6,2,44
+2017,Lichtenberg,110102,Neu-Hohenschönhausen Nord,23,10,247,45,63,722,55,102,119,25,17,3,199,25,64,600
+2017,Lichtenberg,110103,Neu-Hohenschönhausen Süd,23,15,295,69,63,979,62,160,122,25,11,4,195,42,45,599
+2017,Lichtenberg,110204,Alt-Hohenschönhausen Nord,12,7,170,29,41,736,32,119,71,53,8,1,141,26,25,326
+2017,Lichtenberg,110205,Alt-Hohenschönhausen Süd,12,9,201,32,68,1118,103,303,129,65,19,4,263,61,42,500
+2017,Lichtenberg,110306,Fennpfuhl,34,27,231,46,87,1288,83,359,149,72,20,5,339,79,29,586
+2017,Lichtenberg,110307,Alt-Lichtenberg,24,11,513,119,136,2342,85,384,222,66,26,13,428,126,67,932
+2017,Lichtenberg,110308,Frankfurter Allee Süd,20,14,158,50,44,857,34,85,97,15,8,3,171,65,59,303
+2017,Lichtenberg,110409,Neu Lichtenberg,19,13,307,68,98,1524,47,210,275,50,20,7,371,116,75,728
+2017,Lichtenberg,110410,Friedrichsfelde Nord,8,5,128,30,35,550,45,130,49,16,8,3,138,33,30,263
+2017,Lichtenberg,110411,Friedrichsfelde Süd,17,10,160,27,56,784,58,150,101,22,21,13,232,56,27,375
+2017,Lichtenberg,110512,Rummelsburger Bucht,2,2,32,6,12,251,10,32,64,14,3,1,58,17,10,97
+2017,Lichtenberg,110513,Karlshorst,7,5,136,37,54,913,45,120,265,83,13,4,146,23,26,294
+2017,Lichtenberg,119900,"Bezirk (Lb), Nicht Zuzuordnen",16,12,37,15,18,307,32,90,49,0,5,1,68,13,14,112
+2017,Reinickendorf,121031,Ost 1 - Reginhardstr.,23,11,341,92,102,1035,29,250,169,63,24,6,293,65,93,662
+2017,Reinickendorf,121032,Ost 2 - Alt-Reinickendorf,37,20,315,69,110,1303,37,246,107,75,25,8,321,70,112,705
+2017,Reinickendorf,122141,West 1 - Tegel-Süd/Flughafensee,21,7,226,64,101,995,18,232,49,55,9,5,140,17,269,486
+2017,Reinickendorf,122144,West 4 - Auguste-Viktoria-Allee,30,10,429,104,173,1268,22,206,77,46,21,10,246,28,104,887
+2017,Reinickendorf,122145,West 5 - Tegel/Tegeler Forst,14,5,209,54,54,953,15,78,68,22,7,3,175,31,29,373
+2017,Reinickendorf,122242,West 2 - Heiligensee/Konradshöhe,1,0,77,18,44,397,20,117,43,61,4,3,98,15,31,172
+2017,Reinickendorf,122311,Nord 1 - Frohnau/Hermsdorf,10,9,136,24,58,918,42,226,202,178,12,3,196,59,34,301
+2017,Reinickendorf,123012,Nord 2 - Waidmannslust/Wittenau/Lübars,33,16,385,100,138,1257,29,166,99,116,22,6,352,133,97,726
+2017,Reinickendorf,123021,Mv 1 - Märkisches Viertel,41,24,529,110,199,1412,48,302,88,45,36,18,290,47,84,1060
+2017,Reinickendorf,123022,Mv 2 - Rollbergsiedlung,9,4,85,20,40,333,4,78,17,21,6,2,143,65,15,185
+2017,Reinickendorf,123043,West 3 - Borsigwalde/Freie Scholle,6,3,110,24,38,520,11,101,74,41,8,3,132,20,24,266
+2017,Reinickendorf,129900,"Bezirk (Rd), Nicht Zuzuordnen",11,9,100,24,49,944,30,174,42,1,2,0,73,6,35,206
+2018,Mitte,10111,Tiergarten Süd,70,58,416,125,103,2540,17,274,310,39,14,3,284,42,273,1247
+2018,Mitte,10112,Regierungsviertel,34,16,519,110,114,3883,15,199,372,35,6,1,407,159,133,857
+2018,Mitte,10113,Alexanderplatz,130,80,1531,366,309,10144,68,580,880,133,26,6,1036,333,971,2798
+2018,Mitte,10114,Brunnenstraße Süd,26,14,286,60,69,1817,47,153,314,56,9,6,442,218,69,690
+2018,Mitte,10221,Moabit West,71,38,653,164,215,2470,37,398,447,83,29,12,496,99,435,1262
+2018,Mitte,10222,Moabit Ost,61,38,689,150,210,3620,30,281,361,73,31,8,435,73,473,1421
+2018,Mitte,10331,Osloer Straße,77,42,752,205,250,2624,46,288,260,73,29,13,439,92,217,1397
+2018,Mitte,10332,Brunnenstraße Nord,68,41,642,170,224,2536,65,343,273,87,28,6,551,187,387,1303
+2018,Mitte,10441,Parkviertel,55,26,754,183,243,2690,62,442,363,88,30,9,562,113,125,1511
+2018,Mitte,10442,Wedding Zentrum,90,54,958,247,243,3252,52,438,434,108,39,8,710,169,534,1821
+2018,Mitte,19900,"Bezirk (Mi), Nicht Zuzuordnen",51,42,250,74,88,2226,26,258,159,0,4,3,166,25,175,592
+2018,Friedrichshain-Kreuzberg,20101,Südliche Friedrichstadt,99,56,628,179,207,3646,55,588,445,114,36,10,564,102,798,1526
+2018,Friedrichshain-Kreuzberg,20202,Tempelhofer Vorstadt,95,54,819,269,239,5959,90,742,1216,139,46,14,785,163,310,2142
+2018,Friedrichshain-Kreuzberg,20303,Nördliche Luisenstadt,71,49,483,183,105,2190,23,218,293,84,24,3,380,106,522,948
+2018,Friedrichshain-Kreuzberg,20304,Südliche Luisenstadt,104,80,452,183,101,2031,32,190,468,63,16,4,376,114,934,993
+2018,Friedrichshain-Kreuzberg,20405,Karl-Marx-Allee-Nord,17,7,197,45,77,1174,40,184,244,46,5,3,256,51,40,500
+2018,Friedrichshain-Kreuzberg,20407,Karl-Marx-Allee-Süd,82,63,690,227,109,2913,28,249,358,35,18,10,441,110,664,1180
+2018,Friedrichshain-Kreuzberg,20506,Frankfurter Allee Nord,24,13,389,120,97,1792,37,149,394,48,16,5,534,136,92,805
+2018,Friedrichshain-Kreuzberg,20508,Frankfurter Allee Süd Fk,95,64,943,332,176,3622,35,315,714,103,30,10,1017,334,1122,1875
+2018,Friedrichshain-Kreuzberg,29900,"Bezirk (Fh-Kb), Nicht Zuzuordnen",45,40,138,49,34,1057,16,146,121,0,5,1,114,13,143,293
+2018,Pankow,30101,Buch,11,2,179,37,72,635,15,66,144,13,12,6,176,47,33,337
+2018,Pankow,30202,Blankenfelde/Niederschönhausen,10,6,124,15,46,800,28,134,200,40,8,4,153,20,16,309
+2018,Pankow,30203,Buchholz,6,3,70,10,28,329,25,50,58,23,7,2,92,12,9,161
+2018,Pankow,30304,Karow,4,2,84,20,29,418,3,102,126,34,1,0,107,18,13,200
+2018,Pankow,30307,Blankenburg/Heinersdorf/Märchenland,7,4,94,21,36,693,20,107,102,59,8,2,131,31,12,185
+2018,Pankow,30405,Schönholz/Wilhelmsruh/Rosenthal,10,6,77,20,30,450,20,114,50,48,11,3,98,15,14,169
+2018,Pankow,30406,Pankow Zentrum,27,19,207,46,93,1854,47,175,580,63,15,3,296,95,43,660
+2018,Pankow,30408,Pankow Süd,35,23,219,52,94,1070,53,134,387,63,15,6,260,74,40,569
+2018,Pankow,30509,Weißensee,21,12,327,88,127,1399,73,146,278,63,23,6,336,51,47,748
+2018,Pankow,30510,Weißensee Ost,11,5,124,25,45,536,31,73,86,24,12,5,150,22,42,280
+2018,Pankow,30611,Prenzlauer Berg Nordwest,47,24,293,109,77,1468,39,109,365,39,12,4,292,113,175,648
+2018,Pankow,30612,Prenzlauer Berg Nord,24,13,190,49,79,1450,55,133,439,39,14,7,264,89,54,490
+2018,Pankow,30613,Helmholtzplatz,14,4,190,55,60,1016,16,57,296,23,5,4,279,127,49,478
+2018,Pankow,30614,Prenzlauer Berg Ost,37,15,371,78,77,2098,58,184,309,68,32,12,439,181,71,702
+2018,Pankow,30715,Prenzlauer Berg Südwest,22,14,340,75,71,1774,29,184,378,57,8,1,343,92,47,729
+2018,Pankow,30716,Prenzlauer Berg Süd,14,8,157,36,51,1218,61,167,318,55,9,3,267,86,39,504
+2018,Pankow,39900,"Bezirk (Pk), Nicht Zuzuordnen",20,17,63,17,29,553,30,111,144,0,5,3,77,9,42,156
+2018,Charlottenburg-Wilmersdorf,40101,Charlottenburg-Nord,23,6,279,84,107,1030,70,240,123,51,16,9,232,22,185,721
+2018,Charlottenburg-Wilmersdorf,40202,Heerstrasse,16,9,178,64,39,656,34,126,75,89,3,1,139,51,49,334
+2018,Charlottenburg-Wilmersdorf,40203,Westend,25,16,318,83,119,2188,66,347,213,79,11,4,243,33,45,703
+2018,Charlottenburg-Wilmersdorf,40304,Schloß Charlottenburg,18,10,282,62,87,1062,29,105,190,52,14,6,261,80,37,638
+2018,Charlottenburg-Wilmersdorf,40305,Mierendorffplatz,7,3,158,35,75,847,19,129,126,27,11,10,121,21,50,398
+2018,Charlottenburg-Wilmersdorf,40306,Otto-Suhr-Allee,38,20,445,105,151,2266,32,216,421,62,19,9,399,104,65,1144
+2018,Charlottenburg-Wilmersdorf,40307,Neue Kantstraße,33,19,252,58,78,1534,47,195,269,66,15,6,222,47,57,724
+2018,Charlottenburg-Wilmersdorf,40308,Kantstraße,38,15,284,54,85,2457,16,118,274,75,9,0,217,24,56,780
+2018,Charlottenburg-Wilmersdorf,40309,Kurfürstendamm,62,31,760,218,154,4351,35,227,264,46,15,5,387,82,173,1618
+2018,Charlottenburg-Wilmersdorf,40310,Halensee,13,4,136,26,39,1130,33,152,123,33,9,6,108,22,16,453
+2018,Charlottenburg-Wilmersdorf,40411,Grunewald,12,5,89,18,56,793,41,259,96,87,10,7,235,82,15,374
+2018,Charlottenburg-Wilmersdorf,40412,Schmargendorf,4,1,60,10,28,567,36,149,54,50,5,2,91,17,18,192
+2018,Charlottenburg-Wilmersdorf,40413,Wiesbadener Straße,10,3,94,16,29,579,43,83,179,18,6,2,96,23,15,240
+2018,Charlottenburg-Wilmersdorf,40514,Düsseldorfer Straße,40,15,242,58,108,2210,54,284,337,107,11,8,363,132,70,1129
+2018,Charlottenburg-Wilmersdorf,40515,Barstraße,15,5,130,25,63,794,18,118,169,27,6,1,98,8,45,430
+2018,Charlottenburg-Wilmersdorf,40516,Volkspark Wilmersdorf,27,13,216,61,96,2129,60,239,471,64,23,7,259,53,75,736
+2018,Charlottenburg-Wilmersdorf,40617,Forst Grunewald,7,4,22,3,6,32,1,7,1,0,5,5,9,2,0,36
+2018,Charlottenburg-Wilmersdorf,49900,"Bezirk (Ch-Wi), Nicht Zuzuordnen",29,26,102,31,57,749,47,183,89,0,7,4,78,10,53,238
+2018,Spandau,50101,Hakenfelde,16,11,202,56,55,864,36,237,58,16,17,10,193,5,26,480
+2018,Spandau,50102,Falkenhagener Feld,35,24,427,92,154,1012,56,194,174,41,29,13,296,10,53,904
+2018,Spandau,50103,Spandau Mitte,104,61,701,183,214,2227,33,332,270,38,29,13,425,50,224,1397
+2018,Spandau,50204,Brunsbütteler Damm,12,8,210,49,73,765,46,123,88,42,17,3,177,26,25,411
+2018,Spandau,50205,Heerstraße Nord,33,17,350,74,148,949,34,157,57,50,23,13,239,36,44,750
+2018,Spandau,50206,Wilhelmstadt,56,27,666,185,208,2681,32,208,234,57,20,8,451,52,134,1268
+2018,Spandau,50307,Haselhorst,15,9,170,25,63,772,43,147,56,24,10,5,133,19,24,414
+2018,Spandau,50308,Siemensstadt,17,6,152,34,46,773,34,94,169,31,4,1,128,35,17,417
+2018,Spandau,50409,Gatow/Kladow,7,3,104,21,58,395,12,61,38,66,9,3,82,2,11,217
+2018,Spandau,59900,"Bezirk (Sp), Nicht Zuzuordnen",20,18,64,22,40,364,17,127,45,0,6,4,70,6,26,165
+2018,Steglitz-Zehlendorf,60101,Schloßstr.,24,15,205,45,60,2152,21,113,302,33,10,0,191,52,50,445
+2018,Steglitz-Zehlendorf,60102,Albrechtstr.,24,10,250,51,132,1440,54,299,300,90,16,5,331,89,69,776
+2018,Steglitz-Zehlendorf,60203,Lankwitz,19,4,386,81,175,1167,41,254,130,76,22,12,290,33,84,789
+2018,Steglitz-Zehlendorf,60204,Ostpreußendamm,19,8,199,31,94,1034,33,201,163,91,13,4,262,46,38,548
+2018,Steglitz-Zehlendorf,60305,Teltower Damm,14,7,180,30,86,1135,30,212,344,74,15,5,242,31,55,422
+2018,Steglitz-Zehlendorf,60306,Drakestr.,10,3,255,44,110,1759,61,492,351,85,30,11,329,30,45,650
+2018,Steglitz-Zehlendorf,60407,Zehlendorf Südwest,6,4,164,40,48,912,28,220,142,49,28,11,312,146,32,307
+2018,Steglitz-Zehlendorf,60408,Zehlendorf Nord,14,7,181,40,85,1668,57,429,309,165,17,8,449,183,60,485
+2018,Steglitz-Zehlendorf,69900,"Bezirk (St-Zd), Nicht Zuzuordnen",7,5,42,11,31,366,9,90,81,0,3,1,46,8,27,103
+2018,Tempelhof-Schöneberg,70101,Schöneberg-Nord,117,74,801,239,228,6218,55,395,598,132,27,14,590,124,459,3424
+2018,Tempelhof-Schöneberg,70202,Schöneberg-Süd,43,17,542,130,214,3553,50,331,690,115,20,8,586,174,259,1717
+2018,Tempelhof-Schöneberg,70303,Friedenau,23,10,266,70,110,2279,72,238,437,88,18,9,360,81,56,748
+2018,Tempelhof-Schöneberg,70404,Tempelhof,57,24,652,151,261,3729,105,652,504,134,51,11,812,239,358,1724
+2018,Tempelhof-Schöneberg,70505,Mariendorf,28,16,363,76,131,1760,57,419,187,119,31,13,457,78,82,899
+2018,Tempelhof-Schöneberg,70606,Marienfelde,22,12,212,48,87,1056,24,226,90,52,20,9,211,46,61,525
+2018,Tempelhof-Schöneberg,70707,Lichtenrade,25,13,352,61,113,1147,38,307,99,106,19,8,367,75,76,696
+2018,Tempelhof-Schöneberg,79900,"Bezirk (Th-Sb), Nicht Zuzuordnen",21,17,84,20,47,692,18,126,103,0,2,1,58,7,35,194
+2018,Neukölln,80101,Schillerpromenade,80,46,530,181,121,2316,36,363,229,86,36,21,431,77,371,1271
+2018,Neukölln,80102,Neuköllner Mitte/Zentrum,106,56,703,214,182,4453,49,526,376,67,33,16,589,62,332,1537
+2018,Neukölln,80103,Reuterstraße,53,28,584,210,136,2889,28,364,401,69,21,10,492,169,331,1355
+2018,Neukölln,80104,Rixdorf,33,18,533,144,198,2086,33,299,318,88,23,10,516,102,236,1361
+2018,Neukölln,80105,Köllnische Heide,25,7,261,74,103,1124,36,287,45,42,24,9,367,19,88,622
+2018,Neukölln,80206,Britz,70,41,440,97,203,2071,75,529,181,132,34,18,514,90,94,1193
+2018,Neukölln,80207,Buckow,16,7,201,41,101,566,32,169,36,42,16,9,194,27,34,487
+2018,Neukölln,80308,Gropiusstadt,55,32,399,95,149,1881,52,244,101,67,14,3,337,26,48,1258
+2018,Neukölln,80409,Buckow Nord,10,6,78,14,43,444,24,111,35,14,8,4,58,4,11,181
+2018,Neukölln,80410,Rudow,33,22,220,49,98,1100,77,299,89,127,26,8,310,51,32,576
+2018,Neukölln,89900,"Bezirk (Nk), Nicht Zuzuordnen",24,23,81,34,45,632,10,144,38,2,6,2,62,8,56,199
+2018,Treptow-Köpenick,90101,Alt-Treptow,31,21,155,32,43,1305,14,100,290,21,6,1,182,63,77,496
+2018,Treptow-Köpenick,90102,Plänterwald,16,8,67,15,25,412,21,98,76,17,4,4,96,23,15,195
+2018,Treptow-Köpenick,90103,Baumschulenweg,12,2,140,32,70,836,27,130,118,77,11,9,167,24,22,384
+2018,Treptow-Köpenick,90104,Johannisthal,5,3,137,20,77,578,38,143,92,29,24,5,170,24,19,357
+2018,Treptow-Köpenick,90205,Oberschöneweide,16,8,355,78,105,892,61,210,115,26,18,7,268,51,81,689
+2018,Treptow-Köpenick,90206,Niederschöneweide,31,18,216,39,63,1115,30,94,137,17,7,6,206,108,108,365
+2018,Treptow-Köpenick,90207,Adlershof,19,9,189,44,54,1193,39,153,234,35,8,4,249,87,46,404
+2018,Treptow-Köpenick,90208,Köllnische Vorstadt/Spindlersfeld,9,3,112,21,40,324,15,57,76,13,6,2,114,29,35,227
+2018,Treptow-Köpenick,90309,Altglienicke,10,7,179,28,72,674,56,144,101,68,10,2,183,36,34,396
+2018,Treptow-Köpenick,90310,Bohnsdorf,7,4,119,16,32,437,32,60,51,36,9,3,88,13,7,207
+2018,Treptow-Köpenick,90311,Grünau,3,1,29,5,14,268,7,48,87,16,8,3,117,79,5,85
+2018,Treptow-Köpenick,90312,Schmöckwitz/Karolinenhof/Rauchfangswerder,0,0,17,1,3,74,3,15,12,8,4,2,21,2,3,37
+2018,Treptow-Köpenick,90413,Köpenick-Süd,0,0,84,14,32,345,17,86,61,36,19,3,114,11,10,210
+2018,Treptow-Köpenick,90414,Allende-Viertel,4,2,28,5,21,174,10,34,29,6,3,2,46,7,7,76
+2018,Treptow-Köpenick,90415,Altstadt-Kietz,2,1,120,29,30,211,7,24,59,1,3,1,98,18,21,207
+2018,Treptow-Köpenick,90416,Müggelheim,2,1,20,4,9,84,5,30,13,9,4,4,25,6,5,44
+2018,Treptow-Köpenick,90517,Friedrichshagen,6,5,107,28,30,585,29,49,214,13,8,5,158,39,10,233
+2018,Treptow-Köpenick,90518,Rahnsdorf/Hessenwinkel,2,0,30,6,15,261,6,52,95,24,4,3,50,9,10,62
+2018,Treptow-Köpenick,90519,Dammvorstadt,9,5,143,49,36,659,10,54,116,8,3,1,146,27,31,282
+2018,Treptow-Köpenick,90520,Köpenick-Nord,13,9,67,10,24,258,10,41,76,35,6,1,93,12,13,168
+2018,Treptow-Köpenick,99900,"Bezirk (Tp-Kp), Nicht Zuzuordnen",19,18,86,24,58,460,29,113,87,1,11,7,82,19,15,213
+2018,Marzahn-Hellersdorf,100101,Marzahn-Nord,26,20,382,65,77,655,54,99,94,18,19,3,309,84,53,649
+2018,Marzahn-Hellersdorf,100102,Marzahn-Mitte,39,22,688,142,193,1679,135,252,98,46,50,15,469,65,96,1281
+2018,Marzahn-Hellersdorf,100103,Marzahn-Süd,16,8,326,54,132,1378,142,290,85,43,26,7,350,54,56,725
+2018,Marzahn-Hellersdorf,100204,Hellersdorf-Nord,26,14,561,104,201,1339,70,133,100,35,59,25,541,114,110,1091
+2018,Marzahn-Hellersdorf,100205,Hellersdorf-Ost,14,9,277,44,87,493,35,71,67,8,19,6,231,40,50,510
+2018,Marzahn-Hellersdorf,100206,Hellersdorf-Süd,16,7,381,88,104,652,33,78,98,22,31,8,329,99,50,647
+2018,Marzahn-Hellersdorf,100307,Biesdorf,12,6,149,30,64,1043,40,133,184,98,21,6,190,41,27,325
+2018,Marzahn-Hellersdorf,100408,Kaulsdorf,4,2,116,13,39,429,15,95,111,31,11,2,163,16,17,275
+2018,Marzahn-Hellersdorf,100409,Mahlsdorf,6,3,113,19,44,572,18,137,134,68,1,1,162,48,13,238
+2018,Marzahn-Hellersdorf,109900,"Bezirk (Mz-Hd), Nicht Zuzuordnen",9,9,67,14,27,216,15,36,47,1,6,1,78,14,13,140
+2018,Lichtenberg,110101,"Malchow, Wartenberg Und Falkenberg",3,2,34,6,10,105,4,7,13,27,6,2,33,5,2,63
+2018,Lichtenberg,110102,Neu-Hohenschönhausen Nord,17,7,283,56,90,778,53,122,68,26,23,9,243,16,79,667
+2018,Lichtenberg,110103,Neu-Hohenschönhausen Süd,24,16,358,79,83,944,51,182,105,30,17,5,282,30,44,716
+2018,Lichtenberg,110204,Alt-Hohenschönhausen Nord,8,2,202,48,75,687,26,94,43,42,12,7,186,66,32,360
+2018,Lichtenberg,110205,Alt-Hohenschönhausen Süd,11,6,249,47,72,935,103,218,117,51,15,8,232,47,32,515
+2018,Lichtenberg,110306,Fennpfuhl,13,8,318,78,114,1134,75,233,161,48,21,6,300,41,45,654
+2018,Lichtenberg,110307,Alt-Lichtenberg,34,22,493,118,115,2276,67,270,252,40,27,11,354,86,84,1016
+2018,Lichtenberg,110308,Frankfurter Allee Süd,11,6,172,42,35,806,22,89,101,14,6,4,163,47,85,334
+2018,Lichtenberg,110409,Neu Lichtenberg,30,18,351,75,108,1646,49,163,351,69,19,6,395,127,58,771
+2018,Lichtenberg,110410,Friedrichsfelde Nord,8,5,145,27,47,500,53,82,66,20,18,5,128,26,21,293
+2018,Lichtenberg,110411,Friedrichsfelde Süd,14,9,161,29,66,808,46,141,140,22,9,5,200,43,17,389
+2018,Lichtenberg,110512,Rummelsburger Bucht,2,2,29,10,16,295,14,34,99,12,2,2,41,17,14,87
+2018,Lichtenberg,110513,Karlshorst,6,4,98,25,53,738,44,77,214,66,16,5,146,27,18,273
+2018,Lichtenberg,119900,"Bezirk (Lb), Nicht Zuzuordnen",4,3,42,11,16,322,14,74,75,1,9,0,62,12,12,92
+2018,Reinickendorf,121031,Ost 1 - Reginhardstr.,32,12,340,74,126,896,41,172,110,62,18,9,242,40,63,750
+2018,Reinickendorf,121032,Ost 2 - Alt-Reinickendorf,36,15,285,58,143,1415,52,290,120,67,14,3,303,80,135,682
+2018,Reinickendorf,122141,West 1 - Tegel-Süd/Flughafensee,11,4,271,72,107,825,30,195,41,37,10,6,170,6,209,545
+2018,Reinickendorf,122144,West 4 - Auguste-Viktoria-Allee,28,16,422,101,149,1309,22,250,78,46,20,7,281,28,83,781
+2018,Reinickendorf,122145,West 5 - Tegel/Tegeler Forst,19,8,196,50,72,968,5,61,70,28,4,1,181,43,35,374
+2018,Reinickendorf,122242,West 2 - Heiligensee/Konradshöhe,7,3,93,19,39,385,14,104,46,67,4,2,87,10,32,189
+2018,Reinickendorf,122311,Nord 1 - Frohnau/Hermsdorf,13,3,136,29,57,989,52,347,187,160,13,7,203,31,32,338
+2018,Reinickendorf,123012,Nord 2 - Waidmannslust/Wittenau/Lübars,25,11,375,98,144,1168,35,168,132,97,11,3,311,83,95,765
+2018,Reinickendorf,123021,Mv 1 - Märkisches Viertel,44,22,464,101,184,1135,76,257,69,34,30,8,269,15,95,918
+2018,Reinickendorf,123022,Mv 2 - Rollbergsiedlung,5,2,102,21,51,298,7,54,24,19,2,0,107,29,18,204
+2018,Reinickendorf,123043,West 3 - Borsigwalde/Freie Scholle,6,3,94,21,50,506,28,121,59,55,4,3,136,32,18,267
+2018,Reinickendorf,129900,"Bezirk (Rd), Nicht Zuzuordnen",12,10,100,21,38,736,12,136,52,1,5,2,63,2,33,213
+2019,Mitte,10111,Tiergarten Süd,60,35,365,92,128,2271,15,198,296,55,13,6,347,77,231,980
+2019,Mitte,10112,Regierungsviertel,42,20,554,136,152,3692,13,172,352,22,19,4,497,162,170,1057
+2019,Mitte,10113,Alexanderplatz,173,102,1966,500,420,11233,63,587,940,137,43,12,1307,381,1133,3813
+2019,Mitte,10114,Brunnenstraße Süd,40,29,268,64,79,1859,39,182,361,64,18,7,424,172,86,902
+2019,Mitte,10221,Moabit West,66,29,685,210,202,2107,47,322,326,93,28,15,641,91,618,1409
+2019,Mitte,10222,Moabit Ost,48,29,652,150,231,3672,27,240,350,96,39,16,555,96,555,1597
+2019,Mitte,10331,Osloer Straße,61,30,727,168,214,2474,46,289,284,77,31,7,468,116,279,1457
+2019,Mitte,10332,Brunnenstraße Nord,62,42,692,201,209,2537,58,400,328,75,30,10,589,223,415,1399
+2019,Mitte,10441,Parkviertel,64,45,699,159,218,2779,50,492,260,113,33,13,540,86,156,1490
+2019,Mitte,10442,Wedding Zentrum,86,42,968,264,299,2883,43,442,310,113,37,14,759,190,573,1829
+2019,Mitte,19900,"Bezirk (Mi), Nicht Zuzuordnen",5,4,19,7,5,94,0,6,10,0,0,0,15,7,17,34
+2019,Friedrichshain-Kreuzberg,20101,Südliche Friedrichstadt,125,70,716,200,255,3973,43,447,483,105,41,17,656,103,622,1858
+2019,Friedrichshain-Kreuzberg,20202,Tempelhofer Vorstadt,119,82,872,283,271,5797,113,525,1182,113,55,23,1320,530,527,2119
+2019,Friedrichshain-Kreuzberg,20303,Nördliche Luisenstadt,94,67,524,215,99,2509,27,238,300,48,26,8,407,84,493,1103
+2019,Friedrichshain-Kreuzberg,20304,Südliche Luisenstadt,182,150,530,251,125,2343,37,219,440,52,44,15,519,104,1310,1316
+2019,Friedrichshain-Kreuzberg,20405,Karl-Marx-Allee-Nord,38,26,225,58,61,1260,50,132,222,45,8,5,298,59,58,634
+2019,Friedrichshain-Kreuzberg,20407,Karl-Marx-Allee-Süd,98,74,787,281,160,3618,36,215,334,33,20,9,480,120,770,1573
+2019,Friedrichshain-Kreuzberg,20506,Frankfurter Allee Nord,30,16,376,109,96,1839,33,84,353,49,48,9,604,118,121,1212
+2019,Friedrichshain-Kreuzberg,20508,Frankfurter Allee Süd Fk,132,92,972,353,168,4273,48,259,775,68,39,15,1062,335,1322,2606
+2019,Friedrichshain-Kreuzberg,29900,"Bezirk (Fh-Kb), Nicht Zuzuordnen",2,2,4,2,2,38,0,1,5,0,1,1,3,1,9,10
+2019,Pankow,30101,Buch,9,5,243,57,91,742,17,78,118,8,26,6,259,51,38,439
+2019,Pankow,30202,Blankenfelde/Niederschönhausen,7,5,106,14,59,671,31,133,151,62,15,7,208,32,22,336
+2019,Pankow,30203,Buchholz,3,0,76,10,42,366,7,73,65,29,4,2,87,11,9,165
+2019,Pankow,30304,Karow,4,4,81,9,41,369,6,53,93,47,6,4,101,30,21,176
+2019,Pankow,30307,Blankenburg/Heinersdorf/Märchenland,6,4,107,22,48,702,23,115,151,45,9,4,181,40,24,230
+2019,Pankow,30405,Schönholz/Wilhelmsruh/Rosenthal,11,8,81,9,33,536,19,122,51,94,11,5,121,18,8,253
+2019,Pankow,30406,Pankow Zentrum,40,34,240,58,91,1572,47,146,502,58,13,3,311,88,41,659
+2019,Pankow,30408,Pankow Süd,26,15,231,42,101,1093,73,160,352,46,18,7,298,89,46,627
+2019,Pankow,30509,Weißensee,16,9,348,73,137,1728,61,197,350,83,12,6,401,101,68,845
+2019,Pankow,30510,Weißensee Ost,10,4,146,28,53,589,31,107,92,30,9,4,184,34,51,399
+2019,Pankow,30611,Prenzlauer Berg Nordwest,36,25,252,65,70,1391,42,94,380,38,15,2,294,90,154,621
+2019,Pankow,30612,Prenzlauer Berg Nord,22,9,209,39,78,1588,71,171,392,41,11,4,303,89,70,617
+2019,Pankow,30613,Helmholtzplatz,11,8,179,41,52,891,28,60,228,59,8,2,309,132,35,484
+2019,Pankow,30614,Prenzlauer Berg Ost,36,22,331,63,124,2111,76,182,319,72,23,7,496,179,92,828
+2019,Pankow,30715,Prenzlauer Berg Südwest,18,9,379,92,69,1549,38,140,360,70,13,5,372,132,50,754
+2019,Pankow,30716,Prenzlauer Berg Süd,28,14,154,26,66,1251,55,146,362,64,7,4,316,106,46,603
+2019,Pankow,39900,"Bezirk (Pk), Nicht Zuzuordnen",1,1,11,3,1,53,1,8,10,0,1,0,8,2,13,18
+2019,Charlottenburg-Wilmersdorf,40101,Charlottenburg-Nord,35,10,316,84,110,1086,91,336,59,75,28,18,200,28,216,690
+2019,Charlottenburg-Wilmersdorf,40202,Heerstrasse,16,13,188,49,51,677,24,146,46,81,4,3,176,63,43,384
+2019,Charlottenburg-Wilmersdorf,40203,Westend,31,19,313,82,142,1899,52,315,205,122,17,11,325,44,45,821
+2019,Charlottenburg-Wilmersdorf,40304,Schloß Charlottenburg,26,9,238,42,124,903,16,97,174,32,11,5,271,77,54,579
+2019,Charlottenburg-Wilmersdorf,40305,Mierendorffplatz,26,11,165,37,72,767,27,143,100,23,14,8,199,33,48,458
+2019,Charlottenburg-Wilmersdorf,40306,Otto-Suhr-Allee,31,16,441,106,139,1940,20,291,346,66,25,16,480,97,84,1060
+2019,Charlottenburg-Wilmersdorf,40307,Neue Kantstraße,17,9,280,67,101,1249,47,202,247,74,12,7,225,26,71,660
+2019,Charlottenburg-Wilmersdorf,40308,Kantstraße,23,10,330,72,118,2233,15,100,274,56,9,4,170,17,72,812
+2019,Charlottenburg-Wilmersdorf,40309,Kurfürstendamm,85,36,767,212,171,4001,25,286,220,57,11,5,381,101,234,1339
+2019,Charlottenburg-Wilmersdorf,40310,Halensee,19,12,167,30,59,1101,25,149,160,56,8,6,167,14,30,502
+2019,Charlottenburg-Wilmersdorf,40411,Grunewald,15,8,133,19,70,783,31,242,86,117,9,2,264,114,21,419
+2019,Charlottenburg-Wilmersdorf,40412,Schmargendorf,9,7,84,13,38,676,29,144,93,70,8,3,117,22,16,252
+2019,Charlottenburg-Wilmersdorf,40413,Wiesbadener Straße,7,6,82,16,30,763,38,99,191,39,7,1,138,18,20,308
+2019,Charlottenburg-Wilmersdorf,40514,Düsseldorfer Straße,38,17,260,65,93,1686,67,314,290,83,24,11,357,119,80,807
+2019,Charlottenburg-Wilmersdorf,40515,Barstraße,9,6,118,20,55,720,27,131,168,30,4,3,114,21,39,343
+2019,Charlottenburg-Wilmersdorf,40516,Volkspark Wilmersdorf,26,16,229,47,91,2011,39,338,417,114,19,4,308,53,96,918
+2019,Charlottenburg-Wilmersdorf,40617,Forst Grunewald,6,6,17,6,13,36,1,11,3,1,13,13,15,5,4,44
+2019,Charlottenburg-Wilmersdorf,49900,"Bezirk (Ch-Wi), Nicht Zuzuordnen",1,1,3,2,7,40,1,8,9,0,2,2,4,0,1,11
+2019,Spandau,50101,Hakenfelde,12,4,165,35,63,813,41,173,64,31,26,16,229,13,26,476
+2019,Spandau,50102,Falkenhagener Feld,20,11,399,74,162,1063,81,150,114,53,46,16,299,9,67,891
+2019,Spandau,50103,Spandau Mitte,65,31,671,160,251,1940,47,247,167,35,28,16,529,48,266,1328
+2019,Spandau,50204,Brunsbütteler Damm,14,3,169,41,73,839,51,125,121,25,17,6,207,10,18,438
+2019,Spandau,50205,Heerstraße Nord,21,9,362,77,122,860,35,151,88,51,25,12,338,70,42,740
+2019,Spandau,50206,Wilhelmstadt,39,20,601,150,202,2459,30,207,162,55,20,8,364,40,101,1148
+2019,Spandau,50307,Haselhorst,18,7,150,33,78,693,49,127,52,21,14,10,108,9,39,337
+2019,Spandau,50308,Siemensstadt,13,8,128,25,45,662,44,130,96,38,8,5,130,33,34,330
+2019,Spandau,50409,Gatow/Kladow,6,3,92,21,61,348,19,34,38,86,8,6,124,4,8,241
+2019,Spandau,59900,"Bezirk (Sp), Nicht Zuzuordnen",3,1,7,3,0,17,0,5,1,0,2,2,4,0,5,12
+2019,Steglitz-Zehlendorf,60101,Schloßstr.,39,23,240,51,79,2281,41,155,388,65,41,5,248,45,70,587
+2019,Steglitz-Zehlendorf,60102,Albrechtstr.,35,23,274,49,128,1486,79,308,271,142,31,12,426,90,59,843
+2019,Steglitz-Zehlendorf,60203,Lankwitz,19,9,354,60,132,1262,51,240,104,117,19,6,333,30,78,839
+2019,Steglitz-Zehlendorf,60204,Ostpreußendamm,22,10,216,40,101,955,53,189,163,66,16,7,257,68,29,514
+2019,Steglitz-Zehlendorf,60305,Teltower Damm,36,28,173,29,94,1170,23,204,376,50,12,2,242,32,51,449
+2019,Steglitz-Zehlendorf,60306,Drakestr.,20,10,269,50,133,1475,52,289,288,94,19,7,316,35,44,676
+2019,Steglitz-Zehlendorf,60407,Zehlendorf Südwest,15,10,145,40,81,906,38,157,160,95,31,19,411,241,36,389
+2019,Steglitz-Zehlendorf,60408,Zehlendorf Nord,31,15,204,40,111,1782,65,379,390,148,24,13,475,215,43,567
+2019,Steglitz-Zehlendorf,69900,"Bezirk (St-Zd), Nicht Zuzuordnen",0,0,9,3,3,39,0,6,6,0,1,1,1,0,2,12
+2019,Tempelhof-Schöneberg,70101,Schöneberg-Nord,125,81,737,206,228,4691,39,383,642,113,32,18,672,233,413,2016
+2019,Tempelhof-Schöneberg,70202,Schöneberg-Süd,43,24,606,142,209,3103,47,294,597,88,22,8,615,177,241,1632
+2019,Tempelhof-Schöneberg,70303,Friedenau,27,16,271,51,121,2173,72,325,421,92,32,15,389,88,67,777
+2019,Tempelhof-Schöneberg,70404,Tempelhof,66,27,813,173,325,3816,116,698,407,173,47,19,869,254,287,2128
+2019,Tempelhof-Schöneberg,70505,Mariendorf,40,21,332,68,258,1832,61,435,205,172,21,7,400,68,86,1080
+2019,Tempelhof-Schöneberg,70606,Marienfelde,16,9,260,67,102,947,48,191,107,46,23,10,251,40,41,557
+2019,Tempelhof-Schöneberg,70707,Lichtenrade,33,22,329,54,129,1008,80,225,126,95,36,12,398,71,69,675
+2019,Tempelhof-Schöneberg,79900,"Bezirk (Th-Sb), Nicht Zuzuordnen",2,2,5,1,5,48,1,3,6,0,0,0,5,3,5,14
+2019,Neukölln,80101,Schillerpromenade,62,33,472,173,124,1983,21,243,256,101,24,16,404,59,458,1138
+2019,Neukölln,80102,Neuköllner Mitte/Zentrum,100,52,759,270,217,4680,30,458,388,97,32,18,634,119,469,1722
+2019,Neukölln,80103,Reuterstraße,77,47,604,203,187,3413,24,296,628,114,42,23,593,147,462,1717
+2019,Neukölln,80104,Rixdorf,55,40,492,153,148,2341,18,293,465,92,23,16,548,90,346,1506
+2019,Neukölln,80105,Köllnische Heide,24,8,221,56,98,1187,48,291,46,41,23,12,208,15,85,600
+2019,Neukölln,80206,Britz,52,30,464,107,217,2094,69,463,195,191,25,12,514,63,145,1346
+2019,Neukölln,80207,Buckow,24,14,222,42,119,567,29,155,39,49,13,6,324,10,51,678
+2019,Neukölln,80308,Gropiusstadt,48,27,448,129,171,1683,45,334,105,72,21,7,368,30,47,1037
+2019,Neukölln,80409,Buckow Nord,11,5,82,19,42,366,11,81,32,30,5,3,83,4,11,216
+2019,Neukölln,80410,Rudow,25,16,303,65,134,898,75,209,93,129,14,11,314,15,45,696
+2019,Neukölln,89900,"Bezirk (Nk), Nicht Zuzuordnen",2,1,5,2,10,79,0,13,4,0,0,0,6,3,7,21
+2019,Treptow-Köpenick,90101,Alt-Treptow,32,21,203,60,61,1494,23,108,312,31,10,3,189,52,141,791
+2019,Treptow-Köpenick,90102,Plänterwald,5,1,56,11,34,536,32,97,64,38,2,1,102,16,7,257
+2019,Treptow-Köpenick,90103,Baumschulenweg,14,8,122,17,62,806,45,137,142,43,10,7,142,26,30,317
+2019,Treptow-Köpenick,90104,Johannisthal,12,6,121,21,67,591,47,161,90,39,14,6,143,11,32,340
+2019,Treptow-Köpenick,90205,Oberschöneweide,10,4,335,76,96,1202,79,362,168,37,24,11,333,63,84,749
+2019,Treptow-Köpenick,90206,Niederschöneweide,16,10,222,61,60,1042,30,83,172,20,9,4,251,106,48,418
+2019,Treptow-Köpenick,90207,Adlershof,14,9,171,36,78,983,48,140,240,23,9,6,240,52,28,396
+2019,Treptow-Köpenick,90208,Köllnische Vorstadt/Spindlersfeld,1,1,130,31,36,360,17,52,80,13,12,4,151,33,24,259
+2019,Treptow-Köpenick,90309,Altglienicke,11,8,213,44,78,671,88,120,91,55,16,5,164,21,39,442
+2019,Treptow-Köpenick,90310,Bohnsdorf,5,3,107,20,42,442,25,66,61,28,5,3,118,11,14,255
+2019,Treptow-Köpenick,90311,Grünau,2,1,33,8,23,251,12,35,73,14,15,9,136,64,8,114
+2019,Treptow-Köpenick,90312,Schmöckwitz/Karolinenhof/Rauchfangswerder,3,0,22,3,10,79,9,8,11,0,5,4,16,3,2,42
+2019,Treptow-Köpenick,90413,Köpenick-Süd,3,2,46,5,14,176,9,37,26,29,18,12,59,7,8,113
+2019,Treptow-Köpenick,90414,Allende-Viertel,1,0,75,17,20,355,20,53,87,5,8,5,94,15,18,172
+2019,Treptow-Köpenick,90415,Altstadt-Kietz,4,3,102,22,40,180,4,28,49,2,3,0,124,21,27,209
+2019,Treptow-Köpenick,90416,Müggelheim,1,1,21,7,9,86,4,11,14,5,11,10,48,10,11,53
+2019,Treptow-Köpenick,90517,Friedrichshagen,12,7,135,33,27,560,40,65,182,15,19,4,176,48,16,236
+2019,Treptow-Köpenick,90518,Rahnsdorf/Hessenwinkel,0,0,41,5,17,238,14,41,69,14,4,4,79,20,13,77
+2019,Treptow-Köpenick,90519,Dammvorstadt,19,14,206,60,46,756,21,72,154,11,8,3,161,36,65,373
+2019,Treptow-Köpenick,90520,Köpenick-Nord,3,3,79,24,30,265,15,53,61,36,13,5,91,19,16,178
+2019,Treptow-Köpenick,99900,"Bezirk (Tp-Kp), Nicht Zuzuordnen",1,1,12,1,9,35,0,4,6,0,4,4,13,2,2,25
+2019,Marzahn-Hellersdorf,100101,Marzahn-Nord,28,17,405,71,104,554,54,71,53,17,27,9,305,78,53,682
+2019,Marzahn-Hellersdorf,100102,Marzahn-Mitte,56,41,712,171,190,1719,146,325,66,22,49,17,506,65,130,1271
+2019,Marzahn-Hellersdorf,100103,Marzahn-Süd,33,19,402,87,122,1546,156,346,101,45,11,6,325,21,70,831
+2019,Marzahn-Hellersdorf,100204,Hellersdorf-Nord,47,28,532,89,167,1607,61,176,96,29,50,23,531,65,112,1309
+2019,Marzahn-Hellersdorf,100205,Hellersdorf-Ost,28,19,244,49,81,545,39,79,77,10,31,10,188,30,42,540
+2019,Marzahn-Hellersdorf,100206,Hellersdorf-Süd,17,11,266,45,84,566,29,56,57,7,21,7,272,80,45,473
+2019,Marzahn-Hellersdorf,100307,Biesdorf,17,9,204,38,77,1038,48,152,158,76,16,6,187,29,34,396
+2019,Marzahn-Hellersdorf,100408,Kaulsdorf,8,4,113,21,39,517,24,81,98,40,14,7,137,17,18,225
+2019,Marzahn-Hellersdorf,100409,Mahlsdorf,3,3,85,17,40,487,38,88,78,85,9,4,191,56,30,197
+2019,Marzahn-Hellersdorf,109900,"Bezirk (Mz-Hd), Nicht Zuzuordnen",2,2,4,0,2,26,3,5,1,0,0,0,14,4,10,10
+2019,Lichtenberg,110101,"Malchow, Wartenberg Und Falkenberg",1,0,24,6,6,110,1,14,10,14,5,0,35,6,6,42
+2019,Lichtenberg,110102,Neu-Hohenschönhausen Nord,11,6,346,63,107,547,52,78,53,17,29,11,254,24,68,637
+2019,Lichtenberg,110103,Neu-Hohenschönhausen Süd,20,15,327,79,90,855,64,148,91,22,21,5,257,18,26,706
+2019,Lichtenberg,110204,Alt-Hohenschönhausen Nord,17,9,197,41,64,891,35,136,62,35,7,6,173,13,26,469
+2019,Lichtenberg,110205,Alt-Hohenschönhausen Süd,18,10,254,44,75,1126,88,224,143,30,10,3,229,34,36,592
+2019,Lichtenberg,110306,Fennpfuhl,22,11,312,57,98,1056,60,185,133,45,25,10,358,58,45,686
+2019,Lichtenberg,110307,Alt-Lichtenberg,74,54,553,126,149,2105,94,254,214,32,38,21,445,94,102,1115
+2019,Lichtenberg,110308,Frankfurter Allee Süd,20,7,159,51,37,693,34,65,92,5,10,6,173,45,88,292
+2019,Lichtenberg,110409,Neu Lichtenberg,32,21,349,89,117,1699,52,107,384,36,15,9,422,91,51,1036
+2019,Lichtenberg,110410,Friedrichsfelde Nord,18,14,153,37,73,567,53,113,77,8,12,2,171,44,23,355
+2019,Lichtenberg,110411,Friedrichsfelde Süd,14,9,187,41,61,908,56,139,116,50,13,6,253,35,38,500
+2019,Lichtenberg,110512,Rummelsburger Bucht,4,3,58,14,20,332,11,55,99,12,9,6,80,28,11,147
+2019,Lichtenberg,110513,Karlshorst,6,6,117,26,49,720,38,112,171,73,8,4,131,24,13,288
+2019,Lichtenberg,119900,"Bezirk (Lb), Nicht Zuzuordnen",3,3,7,1,4,28,0,1,6,0,0,0,5,0,1,17
+2019,Reinickendorf,121031,Ost 1 - Reginhardstr.,21,14,322,75,119,947,42,172,117,77,23,12,225,24,104,738
+2019,Reinickendorf,121032,Ost 2 - Alt-Reinickendorf,34,21,282,67,132,1261,41,286,90,84,11,5,314,116,119,666
+2019,Reinickendorf,122141,West 1 - Tegel-Süd/Flughafensee,9,4,256,69,109,1233,21,217,43,37,9,3,142,6,210,528
+2019,Reinickendorf,122144,West 4 - Auguste-Viktoria-Allee,29,13,351,84,161,1336,21,255,99,54,16,6,271,63,70,785
+2019,Reinickendorf,122145,West 5 - Tegel/Tegeler Forst,29,15,164,53,70,860,7,38,69,36,8,4,127,26,34,350
+2019,Reinickendorf,122242,West 2 - Heiligensee/Konradshöhe,7,3,77,21,56,365,23,87,61,43,7,4,116,13,18,199
+2019,Reinickendorf,122311,Nord 1 - Frohnau/Hermsdorf,14,8,106,23,54,883,41,153,275,87,4,1,198,28,44,286
+2019,Reinickendorf,123012,Nord 2 - Waidmannslust/Wittenau/Lübars,34,19,372,85,123,1160,30,135,150,93,16,3,306,74,110,728
+2019,Reinickendorf,123021,Mv 1 - Märkisches Viertel,42,22,491,123,187,1100,51,224,76,40,39,19,286,11,73,986
+2019,Reinickendorf,123022,Mv 2 - Rollbergsiedlung,6,4,84,19,34,293,13,36,18,34,5,2,156,56,21,212
+2019,Reinickendorf,123043,West 3 - Borsigwalde/Freie Scholle,8,4,95,18,43,492,21,96,69,38,6,1,79,8,31,218
+2019,Reinickendorf,129900,"Bezirk (Rd), Nicht Zuzuordnen",3,2,14,7,4,59,0,7,15,0,1,0,7,3,9,21
diff --git a/data/clean/crime_berlin_clean_2.csv b/data/clean/crime_berlin_clean_2.csv
new file mode 100644
index 00000000..887d33dc
--- /dev/null
+++ b/data/clean/crime_berlin_clean_2.csv
@@ -0,0 +1,1353 @@
+year,district,code,location,robbery,street_robbery,injury,agg_assault,threat,theft,car,from_car,bike,burglary,fire,arson,damage,graffiti,drugs,local
+2012,mitte,10111,tiergarten_south,70,46,586,194,118,2263,18,328,120,68,16,4,273,26,171,1032
+2012,mitte,10112,regierungsviertel,65,29,474,123,142,3203,10,307,170,37,10,4,380,124,98,870
+2012,mitte,10113,alexanderplatz,242,136,1541,454,304,8988,81,792,822,275,49,27,1538,522,435,3108
+2012,mitte,10114,brunnenstrasse_south,52,25,254,60,66,1916,86,192,396,131,14,5,428,122,213,752
+2012,mitte,10221,moabit_west,130,51,629,185,199,2470,94,410,325,161,42,22,516,64,259,1403
+2012,mitte,10222,moabit_east,89,45,549,147,204,2290,63,353,337,90,33,10,392,52,416,1212
+2012,mitte,10331,osloer_strasse,120,46,785,223,267,3666,52,429,280,226,40,18,521,72,246,1699
+2012,mitte,10332,brunnenstrasse_north,145,71,675,192,191,2928,76,473,218,252,36,7,495,72,162,1532
+2012,mitte,10441,parkviertel,109,48,783,211,318,2879,77,564,365,157,55,20,568,65,244,1794
+2012,mitte,10442,wedding_central,216,104,1210,426,384,3396,57,424,294,298,54,23,806,87,570,2556
+2012,mitte,19900,bezirk_(mi),15,9,435,147,49,2487,6,45,31,0,5,0,263,140,35,587
+2012,friedrichshain-kreuzberg,20101,suedliche_friedrichstadt,138,71,723,222,263,2928,52,500,321,219,46,13,700,102,351,1784
+2012,friedrichshain-kreuzberg,20202,tempelhofer_vorstadt,180,88,932,274,241,5170,90,595,913,390,58,21,915,194,397,2271
+2012,friedrichshain-kreuzberg,20303,noerdliche_luisenstadt,112,70,504,153,126,2330,24,186,311,115,31,10,456,82,168,1115
+2012,friedrichshain-kreuzberg,20304,suedliche_luisenstadt,109,82,395,138,101,1932,35,226,347,150,27,11,441,129,423,963
+2012,friedrichshain-kreuzberg,20405,karl-marx-allee-north,58,34,235,61,55,1242,71,206,185,56,15,5,356,46,23,625
+2012,friedrichshain-kreuzberg,20407,karl-marx-allee-south,86,57,471,123,105,2725,46,242,299,59,22,7,537,87,167,1040
+2012,friedrichshain-kreuzberg,20506,frankfurter_allee_north,34,16,265,83,80,1528,55,117,286,59,48,15,534,84,50,824
+2012,friedrichshain-kreuzberg,20508,frankfurter_allee_south_fk,140,80,865,276,159,3588,62,291,616,166,67,22,1171,272,256,2086
+2012,friedrichshain-kreuzberg,29900,bezirk_(fh-kb),11,6,223,53,23,607,1,17,7,0,0,1,389,315,18,293
+2012,pankow,30101,buch,16,6,154,45,48,1035,32,190,199,21,18,6,191,35,31,323
+2012,pankow,30202,blankenfelde,12,4,136,27,54,782,37,179,148,69,26,14,215,31,11,337
+2012,pankow,30202,niederschoenhausen,12,4,136,27,54,782,37,179,148,69,26,14,215,31,11,337
+2012,pankow,30203,buchholz,9,3,71,13,38,456,21,69,56,38,10,1,114,7,16,182
+2012,pankow,30304,karow,3,1,44,6,32,481,11,85,183,19,10,6,118,24,4,151
+2012,pankow,30307,blankenburg,7,1,74,9,21,898,14,160,149,55,12,4,154,9,16,161
+2012,pankow,30307,heinersdorf,7,1,74,9,21,898,14,160,149,55,12,4,154,9,16,161
+2012,pankow,30307,maerchenland,7,1,74,9,21,898,14,160,149,55,12,4,154,9,16,161
+2012,pankow,30405,schoenholz,23,10,79,24,26,599,17,138,111,82,7,1,143,19,20,229
+2012,pankow,30405,wilhelmsruh,23,10,79,24,26,599,17,138,111,82,7,1,143,19,20,229
+2012,pankow,30405,rosenthal,23,10,79,24,26,599,17,138,111,82,7,1,143,19,20,229
+2012,pankow,30406,pankow_central,33,11,212,62,83,2089,60,220,511,61,13,5,382,101,35,811
+2012,pankow,30408,pankow_south,21,9,204,35,67,1235,56,170,388,50,10,7,298,78,24,616
+2012,pankow,30509,weissensee,34,15,308,78,99,1537,46,192,219,93,18,11,486,152,54,838
+2012,pankow,30510,weissensee_east,20,8,103,23,50,610,20,105,74,23,4,1,205,32,18,334
+2012,pankow,30611,prenzlauer_berg_northwest,80,32,228,68,83,1716,95,176,406,78,19,8,339,113,85,766
+2012,pankow,30612,prenzlauer_berg_north,30,10,159,33,60,1870,86,146,407,67,5,0,282,75,33,582
+2012,pankow,30613,helmholtzplatz,23,6,189,47,52,1215,41,74,283,99,9,3,261,100,29,614
+2012,pankow,30614,prenzlauer_berg_east,60,28,240,72,79,2063,57,216,289,61,19,9,439,131,51,714
+2012,pankow,30715,prenzlauer_berg_southwest,18,12,344,92,71,2016,52,223,381,149,10,2,536,192,34,996
+2012,pankow,30716,prenzlauer_berg_south,16,6,166,30,81,1393,116,186,326,127,15,4,409,84,53,672
+2012,pankow,39900,bezirk_(pk),5,4,79,23,19,315,9,24,9,0,2,1,150,111,8,115
+2012,charlottenburg-wilmersdorf,40101,charlottenburg-north,41,14,278,73,129,1006,70,304,60,99,9,2,245,5,159,740
+2012,charlottenburg-wilmersdorf,40202,heerstrasse,21,9,213,93,36,579,37,155,58,51,7,2,141,36,31,353
+2012,charlottenburg-wilmersdorf,40203,westend,40,12,207,48,117,1974,57,282,170,112,7,2,317,36,38,662
+2012,charlottenburg-wilmersdorf,40304,schloss_charlottenburg,41,12,243,55,90,1140,31,133,288,88,9,3,231,23,44,616
+2012,charlottenburg-wilmersdorf,40305,mierendorffplatz,32,12,165,46,61,893,31,211,148,38,12,5,150,18,111,413
+2012,charlottenburg-wilmersdorf,40306,otto-suhr-allee,53,15,421,113,128,2273,37,292,429,113,15,6,436,95,112,952
+2012,charlottenburg-wilmersdorf,40307,neue_kantstrasse,43,23,164,39,86,1283,65,254,298,105,8,2,169,20,80,560
+2012,charlottenburg-wilmersdorf,40308,kantstrasse,65,23,251,65,112,2565,24,188,248,116,9,3,234,22,118,691
+2012,charlottenburg-wilmersdorf,40309,kurfuerstendamm,135,59,1083,361,159,4140,54,302,197,94,7,1,405,95,178,1685
+2012,charlottenburg-wilmersdorf,40310,halensee,19,8,137,29,62,949,42,188,156,77,8,3,149,23,26,393
+2012,charlottenburg-wilmersdorf,40411,grunewald,10,5,98,11,58,867,32,268,84,194,4,0,128,14,5,391
+2012,charlottenburg-wilmersdorf,40412,schmargendorf,5,1,82,18,41,731,31,224,77,86,3,1,104,12,10,255
+2012,charlottenburg-wilmersdorf,40413,wiesbadener_strasse,12,4,64,12,34,642,30,125,129,54,1,1,143,21,9,224
+2012,charlottenburg-wilmersdorf,40514,duesseldorfer_strasse,41,18,241,67,117,1779,68,362,301,158,14,6,376,113,54,741
+2012,charlottenburg-wilmersdorf,40515,barstrasse,19,10,110,33,43,774,23,160,142,44,6,3,151,29,14,302
+2012,charlottenburg-wilmersdorf,40516,volkspark_wilmersdorf,64,23,252,67,110,1656,67,241,378,114,10,4,303,66,63,712
+2012,charlottenburg-wilmersdorf,40617,forst_grunewald,1,0,10,3,4,94,1,56,5,0,2,1,11,1,0,21
+2012,charlottenburg-wilmersdorf,49900,bezirk_(ch-wi),1,0,205,62,40,716,7,25,5,1,2,0,282,218,12,286
+2012,spandau,50101,hakenfelde,17,3,225,49,86,930,20,192,80,54,6,3,239,15,28,651
+2012,spandau,50102,falkenhagener_feld,40,14,432,113,181,1157,31,167,115,73,28,11,430,46,54,1166
+2012,spandau,50103,spandau_central,108,52,692,192,258,2371,30,201,279,68,26,7,593,103,206,1607
+2012,spandau,50204,brunsbuetteler_damm,14,5,172,41,61,772,27,109,64,47,22,3,221,21,11,395
+2012,spandau,50205,heerstrasse_north,41,20,399,95,157,1108,36,130,67,91,33,15,427,34,29,1013
+2012,spandau,50206,wilhelmstadt,68,25,472,116,177,2158,18,214,235,100,25,10,568,85,89,1191
+2012,spandau,50307,haselhorst,36,16,165,35,70,1143,36,208,90,52,10,1,261,21,39,575
+2012,spandau,50308,siemensstadt,29,7,168,36,63,739,30,111,84,39,8,4,167,30,25,405
+2012,spandau,50409,gatow,5,1,76,15,25,435,24,129,34,65,13,5,131,20,0,158
+2012,spandau,50409,kladow,5,1,76,15,25,435,24,129,34,65,13,5,131,20,0,158
+2012,spandau,59900,bezirk_(sp),1,0,47,8,12,271,1,9,10,0,4,2,220,167,0,64
+2012,steglitz-zehlendorf,60101,schlossstr.,61,28,217,50,51,2375,29,227,184,79,11,1,255,57,50,529
+2012,steglitz-zehlendorf,60102,albrechtstr.,57,20,258,29,161,1581,88,347,202,136,14,8,439,111,44,832
+2012,steglitz-zehlendorf,60203,lankwitz,36,15,268,51,161,1084,45,200,104,89,11,3,383,75,55,748
+2012,steglitz-zehlendorf,60204,ostpreussendamm,17,7,213,59,68,1165,53,244,194,96,13,5,310,37,29,482
+2012,steglitz-zehlendorf,60305,teltower_damm,23,7,151,38,86,1254,36,243,301,103,10,2,339,70,50,445
+2012,steglitz-zehlendorf,60306,drakestr.,18,4,206,33,106,1749,90,312,220,136,15,8,346,61,21,637
+2012,steglitz-zehlendorf,60407,zehlendorf_southwest,27,7,141,21,83,1006,59,269,95,113,21,6,248,26,17,380
+2012,steglitz-zehlendorf,60408,zehlendorf_north,44,22,259,51,120,1952,62,519,250,208,20,6,538,164,29,701
+2012,steglitz-zehlendorf,69900,bezirk_(st-zd),1,0,39,16,13,244,4,15,18,1,0,0,224,171,3,64
+2012,tempelhof-schoeneberg,70101,schoeneberg-north,197,98,772,215,239,4048,53,425,481,292,31,11,729,157,214,1921
+2012,tempelhof-schoeneberg,70202,schoeneberg-south,80,35,510,119,162,2699,62,312,557,219,26,11,545,145,239,1297
+2012,tempelhof-schoeneberg,70303,friedenau,44,15,306,66,165,2170,66,329,397,122,22,8,426,107,70,851
+2012,tempelhof-schoeneberg,70404,tempelhof,100,36,581,129,351,3645,122,753,352,159,50,20,813,129,291,1680
+2012,tempelhof-schoeneberg,70505,mariendorf,57,20,367,79,150,1871,74,508,127,131,29,8,501,75,84,1006
+2012,tempelhof-schoeneberg,70606,marienfelde,25,11,252,41,98,1357,62,220,129,52,18,5,276,34,54,619
+2012,tempelhof-schoeneberg,70707,lichtenrade,38,24,322,60,114,1267,63,421,118,148,32,6,472,70,87,745
+2012,tempelhof-schoeneberg,79900,bezirk_(th-sb),5,2,106,26,22,357,2,5,8,0,0,0,145,105,27,144
+2012,neukoelln,80101,schillerpromenade,169,84,676,213,252,2400,27,221,177,150,31,18,529,85,913,1965
+2012,neukoelln,80102,neukoellner_central,138,55,944,290,288,4181,41,314,175,201,67,24,821,157,154,2164
+2012,neukoelln,80102,central,138,55,944,290,288,4181,41,314,175,201,67,24,821,157,154,2164
+2012,neukoelln,80103,reuterstrasse,108,54,589,181,163,2679,48,264,310,245,24,11,509,97,226,1573
+2012,neukoelln,80104,rixdorf,113,55,605,198,221,2088,38,316,261,201,32,16,550,80,103,1542
+2012,neukoelln,80105,koellnische_heide,26,14,251,71,121,1190,49,303,44,60,15,4,315,61,39,631
+2012,neukoelln,80206,britz,79,49,420,105,168,2132,71,566,169,175,27,12,501,63,65,1079
+2012,neukoelln,80207,buckow,26,7,206,58,107,634,24,225,45,62,11,3,281,63,14,499
+2012,neukoelln,80308,gropiusstadt,52,30,350,72,131,1942,25,195,140,67,13,1,525,79,32,1070
+2012,neukoelln,80409,buckow_north,14,3,65,11,34,409,11,73,12,46,6,1,64,3,6,176
+2012,neukoelln,80410,rudow,40,25,206,50,90,1256,58,374,117,181,15,4,405,65,23,543
+2012,neukoelln,89900,bezirk_(nk),2,3,56,23,19,210,2,21,3,0,1,1,58,36,3,100
+2012,treptow-koepenick,90101,alt-treptow,45,24,136,37,35,1028,15,95,198,53,3,2,193,69,43,376
+2012,treptow-koepenick,90102,plaenterwald,10,6,63,18,21,500,20,106,66,34,6,2,171,37,4,243
+2012,treptow-koepenick,90103,baumschulenweg,20,10,113,27,60,619,25,141,81,74,10,4,248,82,37,346
+2012,treptow-koepenick,90104,johannisthal,16,7,95,27,52,537,22,93,42,48,8,2,206,59,11,245
+2012,treptow-koepenick,90205,oberschoeneweide,16,5,309,58,78,838,42,147,69,51,20,12,343,58,31,636
+2012,treptow-koepenick,90206,niederschoeneweide,29,13,150,31,48,871,12,76,100,19,11,5,200,65,40,320
+2012,treptow-koepenick,90207,adlershof,29,10,133,29,48,961,24,123,164,34,8,6,222,53,20,345
+2012,treptow-koepenick,90208,koellnische_vorstadt,9,2,122,29,30,389,11,44,74,14,15,2,191,56,17,265
+2012,treptow-koepenick,90208,spindlersfeld,9,2,122,29,30,389,11,44,74,14,15,2,191,56,17,265
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+2019,marzahn-hellersdorf,100409,mahlsdorf,3,3,85,17,40,487,38,88,78,85,9,4,191,56,30,197
+2019,marzahn-hellersdorf,109900,bezirk_(mz-hd),2,2,4,0,2,26,3,5,1,0,0,0,14,4,10,10
+2019,lichtenberg,110101,malchow,1,0,24,6,6,110,1,14,10,14,5,0,35,6,6,42
+2019,lichtenberg,110101,wartenberg_und_falkenberg,1,0,24,6,6,110,1,14,10,14,5,0,35,6,6,42
+2019,lichtenberg,110102,neu-hohenschoenhausen_north,11,6,346,63,107,547,52,78,53,17,29,11,254,24,68,637
+2019,lichtenberg,110103,neu-hohenschoenhausen_south,20,15,327,79,90,855,64,148,91,22,21,5,257,18,26,706
+2019,lichtenberg,110204,alt-hohenschoenhausen_north,17,9,197,41,64,891,35,136,62,35,7,6,173,13,26,469
+2019,lichtenberg,110205,alt-hohenschoenhausen_south,18,10,254,44,75,1126,88,224,143,30,10,3,229,34,36,592
+2019,lichtenberg,110306,fennpfuhl,22,11,312,57,98,1056,60,185,133,45,25,10,358,58,45,686
+2019,lichtenberg,110307,alt-lichtenberg,74,54,553,126,149,2105,94,254,214,32,38,21,445,94,102,1115
+2019,lichtenberg,110308,frankfurter_allee_south,20,7,159,51,37,693,34,65,92,5,10,6,173,45,88,292
+2019,lichtenberg,110409,neu_lichtenberg,32,21,349,89,117,1699,52,107,384,36,15,9,422,91,51,1036
+2019,lichtenberg,110410,friedrichsfelde_north,18,14,153,37,73,567,53,113,77,8,12,2,171,44,23,355
+2019,lichtenberg,110411,friedrichsfelde_south,14,9,187,41,61,908,56,139,116,50,13,6,253,35,38,500
+2019,lichtenberg,110512,rummelsburger_bucht,4,3,58,14,20,332,11,55,99,12,9,6,80,28,11,147
+2019,lichtenberg,110513,karlshorst,6,6,117,26,49,720,38,112,171,73,8,4,131,24,13,288
+2019,lichtenberg,119900,bezirk_(lb),3,3,7,1,4,28,0,1,6,0,0,0,5,0,1,17
+2019,reinickendorf,121031,east_1_-_reginhardstr.,21,14,322,75,119,947,42,172,117,77,23,12,225,24,104,738
+2019,reinickendorf,121032,east_2_-_alt-reinickendorf,34,21,282,67,132,1261,41,286,90,84,11,5,314,116,119,666
+2019,reinickendorf,122141,west_1_-_tegel-south,9,4,256,69,109,1233,21,217,43,37,9,3,142,6,210,528
+2019,reinickendorf,122141,flughafensee,9,4,256,69,109,1233,21,217,43,37,9,3,142,6,210,528
+2019,reinickendorf,122144,west_4_-_auguste-viktoria-allee,29,13,351,84,161,1336,21,255,99,54,16,6,271,63,70,785
+2019,reinickendorf,122145,west_5_-_tegel,29,15,164,53,70,860,7,38,69,36,8,4,127,26,34,350
+2019,reinickendorf,122145,tegeler_forst,29,15,164,53,70,860,7,38,69,36,8,4,127,26,34,350
+2019,reinickendorf,122242,west_2_-_heiligensee,7,3,77,21,56,365,23,87,61,43,7,4,116,13,18,199
+2019,reinickendorf,122242,konradshoehe,7,3,77,21,56,365,23,87,61,43,7,4,116,13,18,199
+2019,reinickendorf,122311,north_1_-_frohnau,14,8,106,23,54,883,41,153,275,87,4,1,198,28,44,286
+2019,reinickendorf,122311,hermsdorf,14,8,106,23,54,883,41,153,275,87,4,1,198,28,44,286
+2019,reinickendorf,123012,north_2_-_waidmannslust,34,19,372,85,123,1160,30,135,150,93,16,3,306,74,110,728
+2019,reinickendorf,123012,wittenau,34,19,372,85,123,1160,30,135,150,93,16,3,306,74,110,728
+2019,reinickendorf,123012,luebars,34,19,372,85,123,1160,30,135,150,93,16,3,306,74,110,728
+2019,reinickendorf,123021,mv_1_-_maerkisches_viertel,42,22,491,123,187,1100,51,224,76,40,39,19,286,11,73,986
+2019,reinickendorf,123022,mv_2_-_rollbergsiedlung,6,4,84,19,34,293,13,36,18,34,5,2,156,56,21,212
+2019,reinickendorf,123043,west_3_-_borsigwalde,8,4,95,18,43,492,21,96,69,38,6,1,79,8,31,218
+2019,reinickendorf,123043,freie_scholle,8,4,95,18,43,492,21,96,69,38,6,1,79,8,31,218
+2019,reinickendorf,129900,bezirk_(rd),3,2,14,7,4,59,0,7,15,0,1,0,7,3,9,21
diff --git a/data/clean/location_bridge_table.csv b/data/clean/location_bridge_table.csv
new file mode 100644
index 00000000..0e2e3c6c
--- /dev/null
+++ b/data/clean/location_bridge_table.csv
@@ -0,0 +1,1353 @@
+district,code,location
+mitte,10111,tiergarten_south
+mitte,10112,regierungsviertel
+mitte,10113,alexanderplatz
+mitte,10114,brunnenstrasse_south
+mitte,10221,moabit_west
+mitte,10222,moabit_east
+mitte,10331,osloer_strasse
+mitte,10332,brunnenstrasse_north
+mitte,10441,parkviertel
+mitte,10442,wedding_central
+mitte,19900,bezirk_(mi)
+friedrichshain-kreuzberg,20101,suedliche_friedrichstadt
+friedrichshain-kreuzberg,20202,tempelhofer_vorstadt
+friedrichshain-kreuzberg,20303,noerdliche_luisenstadt
+friedrichshain-kreuzberg,20304,suedliche_luisenstadt
+friedrichshain-kreuzberg,20405,karl-marx-allee-north
+friedrichshain-kreuzberg,20407,karl-marx-allee-south
+friedrichshain-kreuzberg,20506,frankfurter_allee_north
+friedrichshain-kreuzberg,20508,frankfurter_allee_south_fk
+friedrichshain-kreuzberg,29900,bezirk_(fh-kb)
+pankow,30101,buch
+pankow,30202,blankenfelde
+pankow,30202,niederschoenhausen
+pankow,30203,buchholz
+pankow,30304,karow
+pankow,30307,blankenburg
+pankow,30307,heinersdorf
+pankow,30307,maerchenland
+pankow,30405,schoenholz
+pankow,30405,wilhelmsruh
+pankow,30405,rosenthal
+pankow,30406,pankow_central
+pankow,30408,pankow_south
+pankow,30509,weissensee
+pankow,30510,weissensee_east
+pankow,30611,prenzlauer_berg_northwest
+pankow,30612,prenzlauer_berg_north
+pankow,30613,helmholtzplatz
+pankow,30614,prenzlauer_berg_east
+pankow,30715,prenzlauer_berg_southwest
+pankow,30716,prenzlauer_berg_south
+pankow,39900,bezirk_(pk)
+charlottenburg-wilmersdorf,40101,charlottenburg-north
+charlottenburg-wilmersdorf,40202,heerstrasse
+charlottenburg-wilmersdorf,40203,westend
+charlottenburg-wilmersdorf,40304,schloss_charlottenburg
+charlottenburg-wilmersdorf,40305,mierendorffplatz
+charlottenburg-wilmersdorf,40306,otto-suhr-allee
+charlottenburg-wilmersdorf,40307,neue_kantstrasse
+charlottenburg-wilmersdorf,40308,kantstrasse
+charlottenburg-wilmersdorf,40309,kurfuerstendamm
+charlottenburg-wilmersdorf,40310,halensee
+charlottenburg-wilmersdorf,40411,grunewald
+charlottenburg-wilmersdorf,40412,schmargendorf
+charlottenburg-wilmersdorf,40413,wiesbadener_strasse
+charlottenburg-wilmersdorf,40514,duesseldorfer_strasse
+charlottenburg-wilmersdorf,40515,barstrasse
+charlottenburg-wilmersdorf,40516,volkspark_wilmersdorf
+charlottenburg-wilmersdorf,40617,forst_grunewald
+charlottenburg-wilmersdorf,49900,bezirk_(ch-wi)
+spandau,50101,hakenfelde
+spandau,50102,falkenhagener_feld
+spandau,50103,spandau_central
+spandau,50204,brunsbuetteler_damm
+spandau,50205,heerstrasse_north
+spandau,50206,wilhelmstadt
+spandau,50307,haselhorst
+spandau,50308,siemensstadt
+spandau,50409,gatow
+spandau,50409,kladow
+spandau,59900,bezirk_(sp)
+steglitz-zehlendorf,60101,schlossstr.
+steglitz-zehlendorf,60102,albrechtstr.
+steglitz-zehlendorf,60203,lankwitz
+steglitz-zehlendorf,60204,ostpreussendamm
+steglitz-zehlendorf,60305,teltower_damm
+steglitz-zehlendorf,60306,drakestr.
+steglitz-zehlendorf,60407,zehlendorf_southwest
+steglitz-zehlendorf,60408,zehlendorf_north
+steglitz-zehlendorf,69900,bezirk_(st-zd)
+tempelhof-schoeneberg,70101,schoeneberg-north
+tempelhof-schoeneberg,70202,schoeneberg-south
+tempelhof-schoeneberg,70303,friedenau
+tempelhof-schoeneberg,70404,tempelhof
+tempelhof-schoeneberg,70505,mariendorf
+tempelhof-schoeneberg,70606,marienfelde
+tempelhof-schoeneberg,70707,lichtenrade
+tempelhof-schoeneberg,79900,bezirk_(th-sb)
+neukoelln,80101,schillerpromenade
+neukoelln,80102,neukoellner_central
+neukoelln,80102,central
+neukoelln,80103,reuterstrasse
+neukoelln,80104,rixdorf
+neukoelln,80105,koellnische_heide
+neukoelln,80206,britz
+neukoelln,80207,buckow
+neukoelln,80308,gropiusstadt
+neukoelln,80409,buckow_north
+neukoelln,80410,rudow
+neukoelln,89900,bezirk_(nk)
+treptow-koepenick,90101,alt-treptow
+treptow-koepenick,90102,plaenterwald
+treptow-koepenick,90103,baumschulenweg
+treptow-koepenick,90104,johannisthal
+treptow-koepenick,90205,oberschoeneweide
+treptow-koepenick,90206,niederschoeneweide
+treptow-koepenick,90207,adlershof
+treptow-koepenick,90208,koellnische_vorstadt
+treptow-koepenick,90208,spindlersfeld
+treptow-koepenick,90309,altglienicke
+treptow-koepenick,90310,bohnsdorf
+treptow-koepenick,90311,gruenau
+treptow-koepenick,90312,schmoeckwitz
+treptow-koepenick,90312,karolinenhof
+treptow-koepenick,90312,rauchfangswerder
+treptow-koepenick,90413,koepenick-south
+treptow-koepenick,90414,allende-viertel
+treptow-koepenick,90415,altstadt-kietz
+treptow-koepenick,90416,mueggelheim
+treptow-koepenick,90517,friedrichshagen
+treptow-koepenick,90518,rahnsdorf
+treptow-koepenick,90518,hessenwinkel
+treptow-koepenick,90519,dammvorstadt
+treptow-koepenick,90520,koepenick-north
+treptow-koepenick,99900,bezirk_(tp-kp)
+marzahn-hellersdorf,100101,marzahn-north
+marzahn-hellersdorf,100102,marzahn-central
+marzahn-hellersdorf,100103,marzahn-south
+marzahn-hellersdorf,100204,hellersdorf-north
+marzahn-hellersdorf,100205,hellersdorf-east
+marzahn-hellersdorf,100206,hellersdorf-south
+marzahn-hellersdorf,100307,biesdorf
+marzahn-hellersdorf,100408,kaulsdorf
+marzahn-hellersdorf,100409,mahlsdorf
+marzahn-hellersdorf,109900,bezirk_(mz-hd)
+lichtenberg,110101,malchow
+lichtenberg,110101,wartenberg_und_falkenberg
+lichtenberg,110102,neu-hohenschoenhausen_north
+lichtenberg,110103,neu-hohenschoenhausen_south
+lichtenberg,110204,alt-hohenschoenhausen_north
+lichtenberg,110205,alt-hohenschoenhausen_south
+lichtenberg,110306,fennpfuhl
+lichtenberg,110307,alt-lichtenberg
+lichtenberg,110308,frankfurter_allee_south
+lichtenberg,110409,neu_lichtenberg
+lichtenberg,110410,friedrichsfelde_north
+lichtenberg,110411,friedrichsfelde_south
+lichtenberg,110512,rummelsburger_bucht
+lichtenberg,110513,karlshorst
+lichtenberg,119900,bezirk_(lb)
+reinickendorf,121031,east_1_-_reginhardstr.
+reinickendorf,121032,east_2_-_alt-reinickendorf
+reinickendorf,122141,west_1_-_tegel-south
+reinickendorf,122141,flughafensee
+reinickendorf,122144,west_4_-_auguste-viktoria-allee
+reinickendorf,122145,west_5_-_tegel
+reinickendorf,122145,tegeler_forst
+reinickendorf,122242,west_2_-_heiligensee
+reinickendorf,122242,konradshoehe
+reinickendorf,122311,north_1_-_frohnau
+reinickendorf,122311,hermsdorf
+reinickendorf,123012,north_2_-_waidmannslust
+reinickendorf,123012,wittenau
+reinickendorf,123012,luebars
+reinickendorf,123021,mv_1_-_maerkisches_viertel
+reinickendorf,123022,mv_2_-_rollbergsiedlung
+reinickendorf,123043,west_3_-_borsigwalde
+reinickendorf,123043,freie_scholle
+reinickendorf,129900,bezirk_(rd)
+mitte,10111,tiergarten_south
+mitte,10112,regierungsviertel
+mitte,10113,alexanderplatz
+mitte,10114,brunnenstrasse_south
+mitte,10221,moabit_west
+mitte,10222,moabit_east
+mitte,10331,osloer_strasse
+mitte,10332,brunnenstrasse_north
+mitte,10441,parkviertel
+mitte,10442,wedding_central
+mitte,19900,bezirk_(mi)
+friedrichshain-kreuzberg,20101,suedliche_friedrichstadt
+friedrichshain-kreuzberg,20202,tempelhofer_vorstadt
+friedrichshain-kreuzberg,20303,noerdliche_luisenstadt
+friedrichshain-kreuzberg,20304,suedliche_luisenstadt
+friedrichshain-kreuzberg,20405,karl-marx-allee-north
+friedrichshain-kreuzberg,20407,karl-marx-allee-south
+friedrichshain-kreuzberg,20506,frankfurter_allee_north
+friedrichshain-kreuzberg,20508,frankfurter_allee_south_fk
+friedrichshain-kreuzberg,29900,bezirk_(fh-kb)
+pankow,30101,buch
+pankow,30202,blankenfelde
+pankow,30202,niederschoenhausen
+pankow,30203,buchholz
+pankow,30304,karow
+pankow,30307,blankenburg
+pankow,30307,heinersdorf
+pankow,30307,maerchenland
+pankow,30405,schoenholz
+pankow,30405,wilhelmsruh
+pankow,30405,rosenthal
+pankow,30406,pankow_central
+pankow,30408,pankow_south
+pankow,30509,weissensee
+pankow,30510,weissensee_east
+pankow,30611,prenzlauer_berg_northwest
+pankow,30612,prenzlauer_berg_north
+pankow,30613,helmholtzplatz
+pankow,30614,prenzlauer_berg_east
+pankow,30715,prenzlauer_berg_southwest
+pankow,30716,prenzlauer_berg_south
+pankow,39900,bezirk_(pk)
+charlottenburg-wilmersdorf,40101,charlottenburg-north
+charlottenburg-wilmersdorf,40202,heerstrasse
+charlottenburg-wilmersdorf,40203,westend
+charlottenburg-wilmersdorf,40304,schloss_charlottenburg
+charlottenburg-wilmersdorf,40305,mierendorffplatz
+charlottenburg-wilmersdorf,40306,otto-suhr-allee
+charlottenburg-wilmersdorf,40307,neue_kantstrasse
+charlottenburg-wilmersdorf,40308,kantstrasse
+charlottenburg-wilmersdorf,40309,kurfuerstendamm
+charlottenburg-wilmersdorf,40310,halensee
+charlottenburg-wilmersdorf,40411,grunewald
+charlottenburg-wilmersdorf,40412,schmargendorf
+charlottenburg-wilmersdorf,40413,wiesbadener_strasse
+charlottenburg-wilmersdorf,40514,duesseldorfer_strasse
+charlottenburg-wilmersdorf,40515,barstrasse
+charlottenburg-wilmersdorf,40516,volkspark_wilmersdorf
+charlottenburg-wilmersdorf,40617,forst_grunewald
+charlottenburg-wilmersdorf,49900,bezirk_(ch-wi)
+spandau,50101,hakenfelde
+spandau,50102,falkenhagener_feld
+spandau,50103,spandau_central
+spandau,50204,brunsbuetteler_damm
+spandau,50205,heerstrasse_north
+spandau,50206,wilhelmstadt
+spandau,50307,haselhorst
+spandau,50308,siemensstadt
+spandau,50409,gatow
+spandau,50409,kladow
+spandau,59900,bezirk_(sp)
+steglitz-zehlendorf,60101,schlossstr.
+steglitz-zehlendorf,60102,albrechtstr.
+steglitz-zehlendorf,60203,lankwitz
+steglitz-zehlendorf,60204,ostpreussendamm
+steglitz-zehlendorf,60305,teltower_damm
+steglitz-zehlendorf,60306,drakestr.
+steglitz-zehlendorf,60407,zehlendorf_southwest
+steglitz-zehlendorf,60408,zehlendorf_north
+steglitz-zehlendorf,69900,bezirk_(st-zd)
+tempelhof-schoeneberg,70101,schoeneberg-north
+tempelhof-schoeneberg,70202,schoeneberg-south
+tempelhof-schoeneberg,70303,friedenau
+tempelhof-schoeneberg,70404,tempelhof
+tempelhof-schoeneberg,70505,mariendorf
+tempelhof-schoeneberg,70606,marienfelde
+tempelhof-schoeneberg,70707,lichtenrade
+tempelhof-schoeneberg,79900,bezirk_(th-sb)
+neukoelln,80101,schillerpromenade
+neukoelln,80102,neukoellner_central
+neukoelln,80102,central
+neukoelln,80103,reuterstrasse
+neukoelln,80104,rixdorf
+neukoelln,80105,koellnische_heide
+neukoelln,80206,britz
+neukoelln,80207,buckow
+neukoelln,80308,gropiusstadt
+neukoelln,80409,buckow_north
+neukoelln,80410,rudow
+neukoelln,89900,bezirk_(nk)
+treptow-koepenick,90101,alt-treptow
+treptow-koepenick,90102,plaenterwald
+treptow-koepenick,90103,baumschulenweg
+treptow-koepenick,90104,johannisthal
+treptow-koepenick,90205,oberschoeneweide
+treptow-koepenick,90206,niederschoeneweide
+treptow-koepenick,90207,adlershof
+treptow-koepenick,90208,koellnische_vorstadt
+treptow-koepenick,90208,spindlersfeld
+treptow-koepenick,90309,altglienicke
+treptow-koepenick,90310,bohnsdorf
+treptow-koepenick,90311,gruenau
+treptow-koepenick,90312,schmoeckwitz
+treptow-koepenick,90312,karolinenhof
+treptow-koepenick,90312,rauchfangswerder
+treptow-koepenick,90413,koepenick-south
+treptow-koepenick,90414,allende-viertel
+treptow-koepenick,90415,altstadt-kietz
+treptow-koepenick,90416,mueggelheim
+treptow-koepenick,90517,friedrichshagen
+treptow-koepenick,90518,rahnsdorf
+treptow-koepenick,90518,hessenwinkel
+treptow-koepenick,90519,dammvorstadt
+treptow-koepenick,90520,koepenick-north
+treptow-koepenick,99900,bezirk_(tp-kp)
+marzahn-hellersdorf,100101,marzahn-north
+marzahn-hellersdorf,100102,marzahn-central
+marzahn-hellersdorf,100103,marzahn-south
+marzahn-hellersdorf,100204,hellersdorf-north
+marzahn-hellersdorf,100205,hellersdorf-east
+marzahn-hellersdorf,100206,hellersdorf-south
+marzahn-hellersdorf,100307,biesdorf
+marzahn-hellersdorf,100408,kaulsdorf
+marzahn-hellersdorf,100409,mahlsdorf
+marzahn-hellersdorf,109900,bezirk_(mz-hd)
+lichtenberg,110101,malchow
+lichtenberg,110101,wartenberg_und_falkenberg
+lichtenberg,110102,neu-hohenschoenhausen_north
+lichtenberg,110103,neu-hohenschoenhausen_south
+lichtenberg,110204,alt-hohenschoenhausen_north
+lichtenberg,110205,alt-hohenschoenhausen_south
+lichtenberg,110306,fennpfuhl
+lichtenberg,110307,alt-lichtenberg
+lichtenberg,110308,frankfurter_allee_south
+lichtenberg,110409,neu_lichtenberg
+lichtenberg,110410,friedrichsfelde_north
+lichtenberg,110411,friedrichsfelde_south
+lichtenberg,110512,rummelsburger_bucht
+lichtenberg,110513,karlshorst
+lichtenberg,119900,bezirk_(lb)
+reinickendorf,121031,east_1_-_reginhardstr.
+reinickendorf,121032,east_2_-_alt-reinickendorf
+reinickendorf,122141,west_1_-_tegel-south
+reinickendorf,122141,flughafensee
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+friedrichshain-kreuzberg,20405,karl-marx-allee-north
+friedrichshain-kreuzberg,20407,karl-marx-allee-south
+friedrichshain-kreuzberg,20506,frankfurter_allee_north
+friedrichshain-kreuzberg,20508,frankfurter_allee_south_fk
+friedrichshain-kreuzberg,29900,bezirk_(fh-kb)
+pankow,30101,buch
+pankow,30202,blankenfelde
+pankow,30202,niederschoenhausen
+pankow,30203,buchholz
+pankow,30304,karow
+pankow,30307,blankenburg
+pankow,30307,heinersdorf
+pankow,30307,maerchenland
+pankow,30405,schoenholz
+pankow,30405,wilhelmsruh
+pankow,30405,rosenthal
+pankow,30406,pankow_central
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+pankow,30509,weissensee
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+pankow,30716,prenzlauer_berg_south
+pankow,39900,bezirk_(pk)
+charlottenburg-wilmersdorf,40101,charlottenburg-north
+charlottenburg-wilmersdorf,40202,heerstrasse
+charlottenburg-wilmersdorf,40203,westend
+charlottenburg-wilmersdorf,40304,schloss_charlottenburg
+charlottenburg-wilmersdorf,40305,mierendorffplatz
+charlottenburg-wilmersdorf,40306,otto-suhr-allee
+charlottenburg-wilmersdorf,40307,neue_kantstrasse
+charlottenburg-wilmersdorf,40308,kantstrasse
+charlottenburg-wilmersdorf,40309,kurfuerstendamm
+charlottenburg-wilmersdorf,40310,halensee
+charlottenburg-wilmersdorf,40411,grunewald
+charlottenburg-wilmersdorf,40412,schmargendorf
+charlottenburg-wilmersdorf,40413,wiesbadener_strasse
+charlottenburg-wilmersdorf,40514,duesseldorfer_strasse
+charlottenburg-wilmersdorf,40515,barstrasse
+charlottenburg-wilmersdorf,40516,volkspark_wilmersdorf
+charlottenburg-wilmersdorf,40617,forst_grunewald
+charlottenburg-wilmersdorf,49900,bezirk_(ch-wi)
+spandau,50101,hakenfelde
+spandau,50102,falkenhagener_feld
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+spandau,50204,brunsbuetteler_damm
+spandau,50205,heerstrasse_north
+spandau,50206,wilhelmstadt
+spandau,50307,haselhorst
+spandau,50308,siemensstadt
+spandau,50409,gatow
+spandau,50409,kladow
+spandau,59900,bezirk_(sp)
+steglitz-zehlendorf,60101,schlossstr.
+steglitz-zehlendorf,60102,albrechtstr.
+steglitz-zehlendorf,60203,lankwitz
+steglitz-zehlendorf,60204,ostpreussendamm
+steglitz-zehlendorf,60305,teltower_damm
+steglitz-zehlendorf,60306,drakestr.
+steglitz-zehlendorf,60407,zehlendorf_southwest
+steglitz-zehlendorf,60408,zehlendorf_north
+steglitz-zehlendorf,69900,bezirk_(st-zd)
+tempelhof-schoeneberg,70101,schoeneberg-north
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+tempelhof-schoeneberg,70303,friedenau
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+neukoelln,80101,schillerpromenade
+neukoelln,80102,neukoellner_central
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+neukoelln,80103,reuterstrasse
+neukoelln,80104,rixdorf
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+neukoelln,80206,britz
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+neukoelln,80409,buckow_north
+neukoelln,80410,rudow
+neukoelln,89900,bezirk_(nk)
+treptow-koepenick,90101,alt-treptow
+treptow-koepenick,90102,plaenterwald
+treptow-koepenick,90103,baumschulenweg
+treptow-koepenick,90104,johannisthal
+treptow-koepenick,90205,oberschoeneweide
+treptow-koepenick,90206,niederschoeneweide
+treptow-koepenick,90207,adlershof
+treptow-koepenick,90208,koellnische_vorstadt
+treptow-koepenick,90208,spindlersfeld
+treptow-koepenick,90309,altglienicke
+treptow-koepenick,90310,bohnsdorf
+treptow-koepenick,90311,gruenau
+treptow-koepenick,90312,schmoeckwitz
+treptow-koepenick,90312,karolinenhof
+treptow-koepenick,90312,rauchfangswerder
+treptow-koepenick,90413,koepenick-south
+treptow-koepenick,90414,allende-viertel
+treptow-koepenick,90415,altstadt-kietz
+treptow-koepenick,90416,mueggelheim
+treptow-koepenick,90517,friedrichshagen
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+treptow-koepenick,90519,dammvorstadt
+treptow-koepenick,90520,koepenick-north
+treptow-koepenick,99900,bezirk_(tp-kp)
+marzahn-hellersdorf,100101,marzahn-north
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+marzahn-hellersdorf,100103,marzahn-south
+marzahn-hellersdorf,100204,hellersdorf-north
+marzahn-hellersdorf,100205,hellersdorf-east
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+marzahn-hellersdorf,100307,biesdorf
+marzahn-hellersdorf,100408,kaulsdorf
+marzahn-hellersdorf,100409,mahlsdorf
+marzahn-hellersdorf,109900,bezirk_(mz-hd)
+lichtenberg,110101,malchow
+lichtenberg,110101,wartenberg_und_falkenberg
+lichtenberg,110102,neu-hohenschoenhausen_north
+lichtenberg,110103,neu-hohenschoenhausen_south
+lichtenberg,110204,alt-hohenschoenhausen_north
+lichtenberg,110205,alt-hohenschoenhausen_south
+lichtenberg,110306,fennpfuhl
+lichtenberg,110307,alt-lichtenberg
+lichtenberg,110308,frankfurter_allee_south
+lichtenberg,110409,neu_lichtenberg
+lichtenberg,110410,friedrichsfelde_north
+lichtenberg,110411,friedrichsfelde_south
+lichtenberg,110512,rummelsburger_bucht
+lichtenberg,110513,karlshorst
+lichtenberg,119900,bezirk_(lb)
+reinickendorf,121031,east_1_-_reginhardstr.
+reinickendorf,121032,east_2_-_alt-reinickendorf
+reinickendorf,122141,west_1_-_tegel-south
+reinickendorf,122141,flughafensee
+reinickendorf,122144,west_4_-_auguste-viktoria-allee
+reinickendorf,122145,west_5_-_tegel
+reinickendorf,122145,tegeler_forst
+reinickendorf,122242,west_2_-_heiligensee
+reinickendorf,122242,konradshoehe
+reinickendorf,122311,north_1_-_frohnau
+reinickendorf,122311,hermsdorf
+reinickendorf,123012,north_2_-_waidmannslust
+reinickendorf,123012,wittenau
+reinickendorf,123012,luebars
+reinickendorf,123021,mv_1_-_maerkisches_viertel
+reinickendorf,123022,mv_2_-_rollbergsiedlung
+reinickendorf,123043,west_3_-_borsigwalde
+reinickendorf,123043,freie_scholle
+reinickendorf,129900,bezirk_(rd)
diff --git a/data/clean/population_berlin_clean.csv b/data/clean/population_berlin_clean.csv
new file mode 100644
index 00000000..3e71bcf4
--- /dev/null
+++ b/data/clean/population_berlin_clean.csv
@@ -0,0 +1,219 @@
+postal_code,district,total,age_under_6,age_6_to_15,age_15_to_18,age_18_to_27,age_27_to_45,age_45_to_55,age_55_to_65,age_65_plus,female_total
+10115,Mitte,26274,1754,2051,473,2461,11595,4253,2041,1646,12818
+10117,Mitte,15531,782,881,250,1558,5346,2342,1854,2518,7489
+10119,Mitte,15064,1014,1087,213,1319,6650,2543,1158,1080,7489
+10119,Pankow,4606,336,426,118,423,1753,991,349,210,2258
+10178,Mitte,14385,692,714,203,1588,5100,1856,1473,2759,6953
+10179,Friedrichshain-Kreuzberg,406,24,36,6,21,99,36,52,132,232
+10179,Mitte,23564,1277,1143,355,2637,7603,3006,2535,5008,11692
+10243,Friedrichshain-Kreuzberg,30655,1730,1725,461,3578,11759,3630,2751,5021,15201
+10245,Friedrichshain-Kreuzberg,33509,2410,1869,485,3456,17523,4138,1870,1758,15966
+10247,Friedrichshain-Kreuzberg,38094,2691,2403,578,4063,19655,4651,2282,1771,18307
+10247,Pankow,1397,189,301,60,58,464,249,43,33,684
+10249,Friedrichshain-Kreuzberg,27693,1827,1619,387,2491,11888,3348,2327,3806,13697
+10249,Pankow,1192,140,120,6,59,490,126,72,179,638
+10315,Lichtenberg,33424,1870,1908,522,3825,10810,3736,3825,6928,16393
+10317,Lichtenberg,23021,1929,1681,349,2433,10453,2817,1686,1673,10981
+10318,Lichtenberg,27217,2147,2505,623,2329,8067,4116,3084,4346,13915
+10319,Lichtenberg,24481,1188,1458,434,2212,5719,2707,2764,7999,13038
+10365,Lichtenberg,27052,1778,1869,572,3317,9294,3253,2660,4309,13177
+10367,Lichtenberg,21735,1334,1327,347,2174,7156,2473,2207,4717,11090
+10369,Lichtenberg,20386,1046,1232,353,1917,5237,2272,2155,6174,10462
+10405,Pankow,32065,2449,2755,642,2706,13118,5507,2513,2375,15867
+10407,Pankow,25254,1742,2200,504,2249,9369,4201,2165,2824,12699
+10409,Pankow,23033,1087,1144,289,1981,7391,2836,2242,6063,12070
+10435,Mitte,4117,340,316,54,300,1884,735,231,257,2093
+10435,Pankow,13283,976,1166,247,1075,5762,2550,907,600,6491
+10437,Pankow,32972,2511,2756,605,2804,14471,6329,2017,1479,16270
+10439,Pankow,29073,1818,1847,404,2833,13299,4373,1925,2574,14537
+10551,Mitte,19350,1053,1156,359,2895,6988,2505,2168,2226,9095
+10553,Mitte,11725,635,770,221,2076,4316,1501,1143,1063,5273
+10555,Mitte,17933,851,1069,376,2714,5600,2443,2243,2637,8858
+10557,Mitte,17971,999,1198,412,2107,5372,2584,2082,3217,8806
+10559,Mitte,16802,1082,1231,364,2572,6072,2166,1568,1747,7940
+10585,Charlottenburg-Wilmersdorf,15268,802,953,342,1571,4525,2150,2025,2900,7770
+10587,Charlottenburg-Wilmersdorf,13408,672,694,223,1515,4086,1957,1673,2588,6828
+10589,Charlottenburg-Wilmersdorf,15298,750,811,257,1811,4819,2312,2100,2438,7695
+10623,Charlottenburg-Wilmersdorf,6399,238,340,141,614,1711,1009,960,1386,3182
+10625,Charlottenburg-Wilmersdorf,11864,514,594,192,1244,3267,1899,1717,2437,6007
+10627,Charlottenburg-Wilmersdorf,14145,722,930,267,1830,4389,2057,1705,2245,6936
+10629,Charlottenburg-Wilmersdorf,14162,689,801,253,1209,3451,2297,2159,3303,7290
+10707,Charlottenburg-Wilmersdorf,12988,652,682,236,1087,3205,2005,1881,3240,6701
+10709,Charlottenburg-Wilmersdorf,10516,467,584,213,957,2652,1482,1506,2655,5515
+10711,Charlottenburg-Wilmersdorf,11235,497,657,225,1015,2985,1675,1629,2552,5744
+10713,Charlottenburg-Wilmersdorf,12982,720,890,291,1552,3620,1890,1718,2301,6627
+10715,Charlottenburg-Wilmersdorf,17326,820,1140,381,1840,4712,2664,2248,3521,8925
+10717,Charlottenburg-Wilmersdorf,17287,746,985,366,1642,4298,2610,2470,4170,8933
+10719,Charlottenburg-Wilmersdorf,10230,475,541,198,814,2422,1633,1483,2664,5212
+10777,Charlottenburg-Wilmersdorf,3275,123,183,39,321,854,492,435,828,1661
+10777,Tempelhof-Schoeneberg,9729,403,436,144,959,2627,1714,1459,1987,4372
+10779,Charlottenburg-Wilmersdorf,2405,103,139,37,203,568,410,334,611,1217
+10779,Tempelhof-Schoeneberg,6918,295,382,131,737,1798,1087,954,1534,3551
+10781,Tempelhof-Schoeneberg,14095,739,1002,325,1400,3950,2376,2044,2259,6999
+10783,Tempelhof-Schoeneberg,12694,677,1044,329,1636,3684,1961,1574,1789,5975
+10785,Friedrichshain-Kreuzberg,706,92,36,10,45,381,75,33,34,316
+10785,Mitte,10936,587,798,286,1584,3461,1473,1319,1428,5000
+10785,Tempelhof-Schoeneberg,1475,63,100,34,169,398,226,236,249,658
+10787,Charlottenburg-Wilmersdorf,124,3,6,4,3,31,12,24,41,55
+10787,Mitte,3283,150,105,22,500,995,388,408,715,1576
+10787,Tempelhof-Schoeneberg,3827,206,329,115,452,1043,575,397,710,1787
+10789,Charlottenburg-Wilmersdorf,3099,174,197,27,302,954,445,369,631,1450
+10789,Tempelhof-Schoeneberg,2185,97,145,61,193,619,273,316,481,1044
+10823,Tempelhof-Schoeneberg,9156,554,552,196,854,2815,1647,1278,1260,4656
+10825,Charlottenburg-Wilmersdorf,303,15,19,13,12,63,65,37,79,152
+10825,Tempelhof-Schoeneberg,10355,536,675,217,1002,2805,1630,1358,2132,5275
+10827,Tempelhof-Schoeneberg,16205,953,1103,358,1996,5583,2275,1999,1938,7822
+10829,Tempelhof-Schoeneberg,14720,861,929,256,1546,5261,2507,1878,1482,7321
+10961,Friedrichshain-Kreuzberg,20122,1184,1228,412,2455,7565,3041,2313,1924,9773
+10963,Friedrichshain-Kreuzberg,13826,880,1168,371,1967,4730,1929,1393,1388,6470
+10963,Mitte,245,36,9,4,31,54,47,36,28,128
+10965,Friedrichshain-Kreuzberg,18982,1158,1338,383,1827,6713,3066,2470,2027,9355
+10965,Tempelhof-Schoeneberg,2099,184,211,46,242,631,399,220,166,1034
+10967,Friedrichshain-Kreuzberg,19080,1252,1441,393,1891,7282,2847,2149,1825,9454
+10967,Neukoelln,2096,130,144,30,230,815,298,232,217,1021
+10969,Friedrichshain-Kreuzberg,28128,1972,2936,969,3611,8103,3979,2754,3804,13901
+10997,Friedrichshain-Kreuzberg,26552,1555,1871,628,2879,10367,3995,2793,2464,12786
+10999,Friedrichshain-Kreuzberg,26134,1494,1989,623,2955,9763,4089,2770,2451,12644
+12043,Neukoelln,15983,1074,1116,305,1837,7000,1818,1420,1413,7669
+12045,Neukoelln,16535,1052,1008,273,1825,7425,1993,1368,1591,8124
+12047,Neukoelln,15998,1021,991,246,1353,7241,2324,1482,1340,8049
+12049,Neukoelln,20905,1253,1241,394,2229,9391,2677,1964,1756,9923
+12051,Neukoelln,26552,1683,2140,688,3558,10290,3198,2238,2757,12903
+12053,Neukoelln,18901,1107,1482,496,2088,7338,2422,1802,2166,9297
+12055,Neukoelln,15496,972,1017,347,2055,6619,1840,1386,1260,7288
+12057,Neukoelln,16508,1540,1987,567,2219,4257,2167,1591,2180,8127
+12059,Neukoelln,19164,1296,1402,391,2132,7602,2368,1801,2172,9481
+12099,Tempelhof-Schoeneberg,16054,1042,1134,322,2058,5037,2140,1770,2551,8045
+12101,Tempelhof-Schoeneberg,16705,961,1326,429,1702,4189,2601,2109,3388,8604
+12103,Tempelhof-Schoeneberg,20775,1215,1334,386,2106,6117,2948,2618,4051,10900
+12105,Tempelhof-Schoeneberg,24435,1404,1580,504,2412,6208,3469,3219,5639,12698
+12107,Neukoelln,238,12,15,9,21,74,38,25,44,121
+12107,Tempelhof-Schoeneberg,21293,997,1463,507,1948,4473,3005,2715,6185,11104
+12109,Tempelhof-Schoeneberg,15847,838,974,338,1520,3749,2248,2181,3999,8331
+12157,Steglitz-Zehlendorf,7690,451,475,127,693,2209,1162,1036,1537,4154
+12157,Tempelhof-Schoeneberg,12368,782,940,309,1431,3568,1941,1533,1864,6369
+12159,Tempelhof-Schoeneberg,15518,827,1246,407,1541,3581,2464,2252,3200,8330
+12161,Steglitz-Zehlendorf,1664,93,87,32,166,511,240,254,281,899
+12161,Tempelhof-Schoeneberg,16459,870,1297,420,1529,4092,2801,2388,3062,8700
+12163,Steglitz-Zehlendorf,19617,1093,1272,411,1892,5073,2911,2626,4339,10479
+12163,Tempelhof-Schoeneberg,406,18,21,6,62,117,55,66,61,215
+12165,Steglitz-Zehlendorf,4899,274,357,150,516,1209,745,654,994,2512
+12167,Steglitz-Zehlendorf,20244,1090,1252,388,1972,5349,3006,2641,4546,10855
+12169,Steglitz-Zehlendorf,17745,900,1202,364,1733,4419,2752,2334,4041,9288
+12203,Steglitz-Zehlendorf,22033,1119,1728,590,2092,4851,3578,3008,5067,11479
+12205,Steglitz-Zehlendorf,16063,775,1655,511,1278,2984,2735,2070,4055,8462
+12207,Steglitz-Zehlendorf,23489,1282,1823,559,2360,4850,3319,2883,6413,12301
+12209,Steglitz-Zehlendorf,15794,775,1267,482,1256,2785,2458,2226,4545,8413
+12247,Steglitz-Zehlendorf,20826,1084,1360,459,1762,4683,2963,2823,5692,11021
+12249,Steglitz-Zehlendorf,23890,1285,1686,532,2382,5247,3702,3092,5964,12634
+12249,Tempelhof-Schoeneberg,710,31,61,21,74,168,90,107,158,319
+12277,Tempelhof-Schoeneberg,14653,880,1371,418,1407,3017,2180,1829,3551,7382
+12279,Tempelhof-Schoeneberg,17607,1014,1425,446,1582,3760,2185,2171,5024,9291
+12305,Tempelhof-Schoeneberg,20981,996,1550,614,1651,3840,3272,2896,6162,11011
+12307,Tempelhof-Schoeneberg,12238,609,937,347,1021,2133,2051,1794,3346,6359
+12309,Tempelhof-Schoeneberg,17884,1146,1717,530,1659,3541,2625,2322,4344,9185
+12347,Neukoelln,20149,1311,1638,500,2215,5274,2937,2514,3760,10174
+12349,Neukoelln,22953,1098,1717,592,2255,4455,3478,3122,6236,11840
+12351,Neukoelln,20658,1068,1583,545,1943,3920,2809,2697,6093,10857
+12353,Neukoelln,33487,2115,2713,901,3413,7204,4328,4051,8762,17454
+12355,Neukoelln,28177,1524,2260,839,2552,5313,4534,4034,7121,14558
+12357,Neukoelln,14809,754,1007,445,1365,2639,2437,2161,4001,7440
+12359,Neukoelln,20624,1251,1446,520,1942,4651,2983,2868,4963,10715
+12435,Treptow-Koepenick,18594,1351,1391,345,1365,6976,2817,1712,2637,9349
+12437,Treptow-Koepenick,23351,1232,1190,359,2115,6936,3163,2495,5861,12049
+12439,Treptow-Koepenick,11655,752,788,208,1273,3584,1469,1201,2380,5791
+12459,Treptow-Koepenick,22296,1653,1531,502,2921,7967,2759,2071,2892,10906
+12487,Treptow-Koepenick,20179,1168,1446,455,1644,5089,3069,2517,4791,10391
+12489,Treptow-Koepenick,18725,1158,1155,339,2201,5795,2489,2059,3529,9362
+12524,Treptow-Koepenick,27716,1893,2612,795,2227,6575,4885,3931,4798,13970
+12526,Treptow-Koepenick,12164,683,968,295,867,2576,2176,1905,2694,6132
+12527,Treptow-Koepenick,10670,577,701,233,624,2367,1808,1510,2850,5448
+12555,Treptow-Koepenick,29616,1765,1899,606,2191,8012,4119,3787,7237,15448
+12557,Treptow-Koepenick,23537,1404,1719,504,1593,5747,3496,3281,5793,12073
+12559,Treptow-Koepenick,18356,812,1273,407,1041,3553,2571,2754,5945,9398
+12587,Treptow-Koepenick,18635,1013,1354,410,911,3955,2931,2346,5715,10048
+12589,Treptow-Koepenick,9499,487,776,226,499,1694,1677,1592,2548,4746
+12619,Marzahn-Hellersdorf,27879,1921,2130,597,2229,7689,3578,4639,5096,14361
+12621,Marzahn-Hellersdorf,17002,851,1272,451,908,3323,3173,3275,3749,8611
+12623,Marzahn-Hellersdorf,29519,1538,2279,716,1614,5867,5538,5651,6316,14752
+12627,Marzahn-Hellersdorf,39351,3163,3906,976,3800,11367,5601,5760,4778,19972
+12629,Marzahn-Hellersdorf,15049,1291,1487,388,1507,4372,2045,2145,1814,7589
+12679,Marzahn-Hellersdorf,28612,1684,2310,633,2363,7280,3066,4898,6378,14368
+12681,Marzahn-Hellersdorf,19054,1008,1329,386,1748,4969,2005,2702,4907,9301
+12683,Marzahn-Hellersdorf,26850,1347,1944,558,2003,5534,4343,4788,6333,13551
+12685,Marzahn-Hellersdorf,20444,1264,1519,483,1486,4901,2302,3188,5301,10355
+12687,Marzahn-Hellersdorf,18578,1260,1597,452,1419,4913,1794,3145,3998,9468
+12689,Marzahn-Hellersdorf,24343,1807,2501,703,2258,6675,3096,4205,3098,12033
+13051,Lichtenberg,23047,1517,2028,558,1800,5592,2980,4449,4123,11522
+13053,Lichtenberg,21278,1467,1763,429,1742,5278,2788,3461,4350,10679
+13055,Lichtenberg,31503,2096,2335,755,2661,8986,4015,3847,6808,16168
+13057,Lichtenberg,17211,1263,1628,453,1427,4695,2510,2965,2270,8625
+13059,Lichtenberg,15887,1033,1408,384,1284,4024,2218,2903,2633,8206
+13086,Pankow,28207,2075,2169,555,2444,9908,4250,2845,3961,14074
+13088,Pankow,26352,1715,2169,555,2012,7762,4064,2866,5209,13680
+13089,Pankow,7507,446,594,231,610,1643,1372,1129,1482,3595
+13125,Pankow,36091,2630,3171,987,2727,9287,5138,4691,7460,18451
+13127,Pankow,20804,1412,1953,624,1344,5060,3819,3050,3542,10582
+13129,Pankow,6927,362,591,184,378,1311,1345,1168,1588,3482
+13156,Pankow,30497,2040,2943,852,2226,7646,5363,3455,5972,15895
+13158,Pankow,18309,1053,1551,552,1325,4055,3379,2611,3783,9427
+13159,Pankow,2157,106,196,61,127,418,380,344,525,1048
+13187,Pankow,34455,2667,3426,803,2379,10865,5437,3325,5553,18199
+13189,Pankow,28108,1870,2110,554,2044,9442,4280,3083,4725,14703
+13347,Mitte,31898,1893,2567,893,4834,10697,4053,2974,3987,15036
+13349,Mitte,14586,763,827,246,1804,4277,1916,1709,3044,7284
+13351,Mitte,16541,912,1107,314,2267,5170,2248,1940,2583,8114
+13353,Mitte,29475,1692,1947,675,5263,11414,3567,2635,2282,13661
+13355,Mitte,23710,1741,2468,735,2792,7011,3045,2391,3527,11760
+13357,Mitte,30992,2157,2615,821,5129,11076,3954,2468,2772,14500
+13359,Mitte,26967,1966,2436,761,4102,9163,3387,2375,2777,12804
+13403,Reinickendorf,30748,1775,2252,687,3538,7755,4396,3880,6465,15355
+13405,Mitte,485,25,50,22,64,109,83,91,41,217
+13405,Reinickendorf,5551,516,568,174,778,1567,747,578,623,2610
+13407,Mitte,3678,230,223,67,322,945,477,463,951,1982
+13407,Reinickendorf,22906,1329,1592,443,2676,5756,3246,2956,4908,11725
+13409,Mitte,2429,192,278,77,354,722,297,215,294,1122
+13409,Reinickendorf,28856,1867,2267,734,3641,8237,4118,3438,4554,14263
+13435,Reinickendorf,19307,1300,1836,687,1998,3800,2529,2193,4964,10041
+13437,Reinickendorf,16069,900,1025,408,1574,3124,2404,2138,4496,8270
+13439,Reinickendorf,22989,1887,2955,881,2431,5213,2779,2473,4370,11830
+13465,Reinickendorf,17573,855,1590,575,1232,2479,2910,2480,5452,9124
+13467,Reinickendorf,15904,773,1280,446,1153,2475,2567,2405,4805,8264
+13469,Reinickendorf,17887,1050,1821,630,1680,3471,2791,2412,4032,9102
+13503,Reinickendorf,17591,897,1390,551,1167,2784,2927,2934,4941,8991
+13505,Reinickendorf,6585,293,499,246,477,964,1115,1006,1985,3364
+13507,Reinickendorf,23755,1190,1402,526,2196,5601,3477,3080,6283,12100
+13509,Reinickendorf,16901,810,1046,345,1574,3699,2799,2339,4289,8761
+13581,Spandau,16492,872,1230,349,1989,3980,2271,2057,3744,8133
+13583,Spandau,23394,1486,1830,557,2488,5896,3317,3068,4752,12129
+13585,Spandau,24385,1652,2048,676,3008,6906,3468,2864,3763,12035
+13587,Spandau,22209,1120,1554,513,2160,4957,3055,2928,5922,11489
+13589,Spandau,23353,1482,2182,746,2239,4852,3169,2967,5716,12142
+13591,Spandau,28299,1501,2526,886,2825,5446,4836,4006,6273,14564
+13593,Spandau,23139,1782,2336,791,2424,5014,2855,2676,5261,11914
+13595,Spandau,22306,1138,1440,491,2305,5335,3370,2925,5302,11472
+13597,Spandau,10234,706,886,307,1176,2700,1518,1204,1737,5017
+13599,Spandau,16171,1041,1374,438,1635,3974,2346,2083,3280,8370
+13627,Charlottenburg-Wilmersdorf,19343,1158,1472,469,1938,4820,2700,2414,4372,9939
+13629,Reinickendorf,872,30,55,12,51,135,136,139,314,426
+13629,Spandau,12159,797,1036,318,1419,3185,1745,1435,2224,6094
+14050,Charlottenburg-Wilmersdorf,11547,546,704,229,1070,2481,1619,1524,3374,6093
+14052,Charlottenburg-Wilmersdorf,13422,570,889,316,1332,2831,1999,1613,3872,6804
+14053,Charlottenburg-Wilmersdorf,199,14,40,9,6,42,34,30,24,100
+14055,Charlottenburg-Wilmersdorf,11507,450,851,304,1292,2004,1660,1400,3546,5973
+14057,Charlottenburg-Wilmersdorf,15365,700,973,326,1613,3898,2363,2102,3390,8008
+14059,Charlottenburg-Wilmersdorf,22752,1216,1496,442,2635,6407,3334,2966,4256,11764
+14089,Spandau,19996,1091,2043,701,1522,3274,3189,2919,5257,10081
+14109,Steglitz-Zehlendorf,11331,595,1059,333,762,1794,1878,1538,3372,5801
+14129,Steglitz-Zehlendorf,15528,710,1347,444,1812,2573,2319,1917,4406,8096
+14163,Steglitz-Zehlendorf,17530,850,1581,599,1480,2797,2846,2398,4979,9155
+14165,Steglitz-Zehlendorf,15502,722,1203,435,1283,2726,2379,2131,4623,8364
+14167,Steglitz-Zehlendorf,18760,1035,1587,615,1614,3651,3001,2440,4817,9715
+14169,Steglitz-Zehlendorf,18398,825,1566,557,1641,3054,3006,2446,5303,10085
+14193,Charlottenburg-Wilmersdorf,17615,837,1191,338,1418,3546,2688,2408,5189,9319
+14195,Charlottenburg-Wilmersdorf,1353,36,115,51,66,199,220,174,492,738
+14195,Steglitz-Zehlendorf,15530,790,1581,576,1439,2745,2577,1917,3905,8086
+14197,Charlottenburg-Wilmersdorf,17931,788,1102,371,1395,3572,2891,2728,5084,9698
+14197,Tempelhof-Schoeneberg,1348,78,73,21,201,329,209,189,248,717
+14199,Charlottenburg-Wilmersdorf,15369,681,1157,362,1204,3056,2364,1975,4570,8303
+14199,Steglitz-Zehlendorf,43,0,0,0,6,18,3,7,9,19
diff --git a/data/raw/Berlin_crimes.csv b/data/raw/Berlin_crimes.csv
new file mode 100644
index 00000000..029042c9
--- /dev/null
+++ b/data/raw/Berlin_crimes.csv
@@ -0,0 +1,1201 @@
+"Year","District","Code","Location","Robbery","Street_robbery","Injury","Agg_assault","Threat","Theft","Car","From_car","Bike","Burglary","Fire","Arson","Damage","Graffiti","Drugs","Local"
+2012,"Mitte",10111,"Tiergarten Süd",70,46,586,194,118,2263,18,328,120,68,16,4,273,26,171,1032
+2012,"Mitte",10112,"Regierungsviertel",65,29,474,123,142,3203,10,307,170,37,10,4,380,124,98,870
+2012,"Mitte",10113,"Alexanderplatz",242,136,1541,454,304,8988,81,792,822,275,49,27,1538,522,435,3108
+2012,"Mitte",10114,"Brunnenstraße Süd",52,25,254,60,66,1916,86,192,396,131,14,5,428,122,213,752
+2012,"Mitte",10221,"Moabit West",130,51,629,185,199,2470,94,410,325,161,42,22,516,64,259,1403
+2012,"Mitte",10222,"Moabit Ost",89,45,549,147,204,2290,63,353,337,90,33,10,392,52,416,1212
+2012,"Mitte",10331,"Osloer Straße",120,46,785,223,267,3666,52,429,280,226,40,18,521,72,246,1699
+2012,"Mitte",10332,"Brunnenstraße Nord",145,71,675,192,191,2928,76,473,218,252,36,7,495,72,162,1532
+2012,"Mitte",10441,"Parkviertel",109,48,783,211,318,2879,77,564,365,157,55,20,568,65,244,1794
+2012,"Mitte",10442,"Wedding Zentrum",216,104,1210,426,384,3396,57,424,294,298,54,23,806,87,570,2556
+2012,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",15,9,435,147,49,2487,6,45,31,0,5,0,263,140,35,587
+2012,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",138,71,723,222,263,2928,52,500,321,219,46,13,700,102,351,1784
+2012,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",180,88,932,274,241,5170,90,595,913,390,58,21,915,194,397,2271
+2012,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",112,70,504,153,126,2330,24,186,311,115,31,10,456,82,168,1115
+2012,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",109,82,395,138,101,1932,35,226,347,150,27,11,441,129,423,963
+2012,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",58,34,235,61,55,1242,71,206,185,56,15,5,356,46,23,625
+2012,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",86,57,471,123,105,2725,46,242,299,59,22,7,537,87,167,1040
+2012,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",34,16,265,83,80,1528,55,117,286,59,48,15,534,84,50,824
+2012,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",140,80,865,276,159,3588,62,291,616,166,67,22,1171,272,256,2086
+2012,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",11,6,223,53,23,607,1,17,7,0,0,1,389,315,18,293
+2012,"Pankow",30101,"Buch",16,6,154,45,48,1035,32,190,199,21,18,6,191,35,31,323
+2012,"Pankow",30202,"Blankenfelde/Niederschönhausen",12,4,136,27,54,782,37,179,148,69,26,14,215,31,11,337
+2012,"Pankow",30203,"Buchholz",9,3,71,13,38,456,21,69,56,38,10,1,114,7,16,182
+2012,"Pankow",30304,"Karow",3,1,44,6,32,481,11,85,183,19,10,6,118,24,4,151
+2012,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",7,1,74,9,21,898,14,160,149,55,12,4,154,9,16,161
+2012,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",23,10,79,24,26,599,17,138,111,82,7,1,143,19,20,229
+2012,"Pankow",30406,"Pankow Zentrum",33,11,212,62,83,2089,60,220,511,61,13,5,382,101,35,811
+2012,"Pankow",30408,"Pankow Süd",21,9,204,35,67,1235,56,170,388,50,10,7,298,78,24,616
+2012,"Pankow",30509,"Weißensee",34,15,308,78,99,1537,46,192,219,93,18,11,486,152,54,838
+2012,"Pankow",30510,"Weißensee Ost",20,8,103,23,50,610,20,105,74,23,4,1,205,32,18,334
+2012,"Pankow",30611,"Prenzlauer Berg Nordwest",80,32,228,68,83,1716,95,176,406,78,19,8,339,113,85,766
+2012,"Pankow",30612,"Prenzlauer Berg Nord",30,10,159,33,60,1870,86,146,407,67,5,0,282,75,33,582
+2012,"Pankow",30613,"Helmholtzplatz",23,6,189,47,52,1215,41,74,283,99,9,3,261,100,29,614
+2012,"Pankow",30614,"Prenzlauer Berg Ost",60,28,240,72,79,2063,57,216,289,61,19,9,439,131,51,714
+2012,"Pankow",30715,"Prenzlauer Berg Südwest",18,12,344,92,71,2016,52,223,381,149,10,2,536,192,34,996
+2012,"Pankow",30716,"Prenzlauer Berg Süd",16,6,166,30,81,1393,116,186,326,127,15,4,409,84,53,672
+2012,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",5,4,79,23,19,315,9,24,9,0,2,1,150,111,8,115
+2012,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",41,14,278,73,129,1006,70,304,60,99,9,2,245,5,159,740
+2012,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",21,9,213,93,36,579,37,155,58,51,7,2,141,36,31,353
+2012,"Charlottenburg-Wilmersdorf",40203,"Westend",40,12,207,48,117,1974,57,282,170,112,7,2,317,36,38,662
+2012,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",41,12,243,55,90,1140,31,133,288,88,9,3,231,23,44,616
+2012,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",32,12,165,46,61,893,31,211,148,38,12,5,150,18,111,413
+2012,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",53,15,421,113,128,2273,37,292,429,113,15,6,436,95,112,952
+2012,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",43,23,164,39,86,1283,65,254,298,105,8,2,169,20,80,560
+2012,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",65,23,251,65,112,2565,24,188,248,116,9,3,234,22,118,691
+2012,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",135,59,1083,361,159,4140,54,302,197,94,7,1,405,95,178,1685
+2012,"Charlottenburg-Wilmersdorf",40310,"Halensee",19,8,137,29,62,949,42,188,156,77,8,3,149,23,26,393
+2012,"Charlottenburg-Wilmersdorf",40411,"Grunewald",10,5,98,11,58,867,32,268,84,194,4,0,128,14,5,391
+2012,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",5,1,82,18,41,731,31,224,77,86,3,1,104,12,10,255
+2012,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",12,4,64,12,34,642,30,125,129,54,1,1,143,21,9,224
+2012,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",41,18,241,67,117,1779,68,362,301,158,14,6,376,113,54,741
+2012,"Charlottenburg-Wilmersdorf",40515,"Barstraße",19,10,110,33,43,774,23,160,142,44,6,3,151,29,14,302
+2012,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",64,23,252,67,110,1656,67,241,378,114,10,4,303,66,63,712
+2012,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",1,0,10,3,4,94,1,56,5,0,2,1,11,1,0,21
+2012,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",1,0,205,62,40,716,7,25,5,1,2,0,282,218,12,286
+2012,"Spandau",50101,"Hakenfelde",17,3,225,49,86,930,20,192,80,54,6,3,239,15,28,651
+2012,"Spandau",50102,"Falkenhagener Feld",40,14,432,113,181,1157,31,167,115,73,28,11,430,46,54,1166
+2012,"Spandau",50103,"Spandau Mitte",108,52,692,192,258,2371,30,201,279,68,26,7,593,103,206,1607
+2012,"Spandau",50204,"Brunsbütteler Damm",14,5,172,41,61,772,27,109,64,47,22,3,221,21,11,395
+2012,"Spandau",50205,"Heerstraße Nord",41,20,399,95,157,1108,36,130,67,91,33,15,427,34,29,1013
+2012,"Spandau",50206,"Wilhelmstadt",68,25,472,116,177,2158,18,214,235,100,25,10,568,85,89,1191
+2012,"Spandau",50307,"Haselhorst",36,16,165,35,70,1143,36,208,90,52,10,1,261,21,39,575
+2012,"Spandau",50308,"Siemensstadt",29,7,168,36,63,739,30,111,84,39,8,4,167,30,25,405
+2012,"Spandau",50409,"Gatow/Kladow",5,1,76,15,25,435,24,129,34,65,13,5,131,20,0,158
+2012,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",1,0,47,8,12,271,1,9,10,0,4,2,220,167,0,64
+2012,"Steglitz-Zehlendorf",60101,"Schloßstr.",61,28,217,50,51,2375,29,227,184,79,11,1,255,57,50,529
+2012,"Steglitz-Zehlendorf",60102,"Albrechtstr.",57,20,258,29,161,1581,88,347,202,136,14,8,439,111,44,832
+2012,"Steglitz-Zehlendorf",60203,"Lankwitz",36,15,268,51,161,1084,45,200,104,89,11,3,383,75,55,748
+2012,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",17,7,213,59,68,1165,53,244,194,96,13,5,310,37,29,482
+2012,"Steglitz-Zehlendorf",60305,"Teltower Damm",23,7,151,38,86,1254,36,243,301,103,10,2,339,70,50,445
+2012,"Steglitz-Zehlendorf",60306,"Drakestr.",18,4,206,33,106,1749,90,312,220,136,15,8,346,61,21,637
+2012,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",27,7,141,21,83,1006,59,269,95,113,21,6,248,26,17,380
+2012,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",44,22,259,51,120,1952,62,519,250,208,20,6,538,164,29,701
+2012,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",1,0,39,16,13,244,4,15,18,1,0,0,224,171,3,64
+2012,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",197,98,772,215,239,4048,53,425,481,292,31,11,729,157,214,1921
+2012,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",80,35,510,119,162,2699,62,312,557,219,26,11,545,145,239,1297
+2012,"Tempelhof-Schöneberg",70303,"Friedenau",44,15,306,66,165,2170,66,329,397,122,22,8,426,107,70,851
+2012,"Tempelhof-Schöneberg",70404,"Tempelhof",100,36,581,129,351,3645,122,753,352,159,50,20,813,129,291,1680
+2012,"Tempelhof-Schöneberg",70505,"Mariendorf",57,20,367,79,150,1871,74,508,127,131,29,8,501,75,84,1006
+2012,"Tempelhof-Schöneberg",70606,"Marienfelde",25,11,252,41,98,1357,62,220,129,52,18,5,276,34,54,619
+2012,"Tempelhof-Schöneberg",70707,"Lichtenrade",38,24,322,60,114,1267,63,421,118,148,32,6,472,70,87,745
+2012,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",5,2,106,26,22,357,2,5,8,0,0,0,145,105,27,144
+2012,"Neukölln",80101,"Schillerpromenade",169,84,676,213,252,2400,27,221,177,150,31,18,529,85,913,1965
+2012,"Neukölln",80102,"Neuköllner Mitte/Zentrum",138,55,944,290,288,4181,41,314,175,201,67,24,821,157,154,2164
+2012,"Neukölln",80103,"Reuterstraße",108,54,589,181,163,2679,48,264,310,245,24,11,509,97,226,1573
+2012,"Neukölln",80104,"Rixdorf",113,55,605,198,221,2088,38,316,261,201,32,16,550,80,103,1542
+2012,"Neukölln",80105,"Köllnische Heide",26,14,251,71,121,1190,49,303,44,60,15,4,315,61,39,631
+2012,"Neukölln",80206,"Britz",79,49,420,105,168,2132,71,566,169,175,27,12,501,63,65,1079
+2012,"Neukölln",80207,"Buckow",26,7,206,58,107,634,24,225,45,62,11,3,281,63,14,499
+2012,"Neukölln",80308,"Gropiusstadt",52,30,350,72,131,1942,25,195,140,67,13,1,525,79,32,1070
+2012,"Neukölln",80409,"Buckow Nord",14,3,65,11,34,409,11,73,12,46,6,1,64,3,6,176
+2012,"Neukölln",80410,"Rudow",40,25,206,50,90,1256,58,374,117,181,15,4,405,65,23,543
+2012,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",2,3,56,23,19,210,2,21,3,0,1,1,58,36,3,100
+2012,"Treptow-Köpenick",90101,"Alt-Treptow",45,24,136,37,35,1028,15,95,198,53,3,2,193,69,43,376
+2012,"Treptow-Köpenick",90102,"Plänterwald",10,6,63,18,21,500,20,106,66,34,6,2,171,37,4,243
+2012,"Treptow-Köpenick",90103,"Baumschulenweg",20,10,113,27,60,619,25,141,81,74,10,4,248,82,37,346
+2012,"Treptow-Köpenick",90104,"Johannisthal",16,7,95,27,52,537,22,93,42,48,8,2,206,59,11,245
+2012,"Treptow-Köpenick",90205,"Oberschöneweide",16,5,309,58,78,838,42,147,69,51,20,12,343,58,31,636
+2012,"Treptow-Köpenick",90206,"Niederschöneweide",29,13,150,31,48,871,12,76,100,19,11,5,200,65,40,320
+2012,"Treptow-Köpenick",90207,"Adlershof",29,10,133,29,48,961,24,123,164,34,8,6,222,53,20,345
+2012,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",9,2,122,29,30,389,11,44,74,14,15,2,191,56,17,265
+2012,"Treptow-Köpenick",90309,"Altglienicke",11,6,149,22,73,539,34,108,93,71,9,2,175,36,14,311
+2012,"Treptow-Köpenick",90310,"Bohnsdorf",2,0,61,11,29,340,18,58,37,27,8,1,93,24,13,134
+2012,"Treptow-Köpenick",90311,"Grünau",3,0,31,11,11,242,4,65,63,21,2,1,77,32,3,84
+2012,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",0,0,13,3,3,146,2,53,4,14,3,3,31,9,0,24
+2012,"Treptow-Köpenick",90413,"Köpenick-Süd",2,0,65,9,20,401,18,112,68,12,8,3,135,10,7,174
+2012,"Treptow-Köpenick",90414,"Allende-Viertel",2,0,37,6,26,194,12,31,36,3,1,0,66,15,2,100
+2012,"Treptow-Köpenick",90415,"Altstadt-Kietz",4,0,75,15,21,224,5,27,57,5,5,3,123,37,10,173
+2012,"Treptow-Köpenick",90416,"Müggelheim",1,1,10,0,13,113,7,41,21,8,1,1,46,2,1,43
+2012,"Treptow-Köpenick",90517,"Friedrichshagen",9,2,64,11,28,516,16,89,172,28,5,1,144,29,6,173
+2012,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",2,1,26,7,8,290,15,51,105,44,2,0,41,3,2,56
+2012,"Treptow-Köpenick",90519,"Dammvorstadt",7,4,122,30,21,568,9,43,93,12,13,7,148,33,35,244
+2012,"Treptow-Köpenick",90520,"Köpenick-Nord",5,2,45,9,20,245,4,42,43,33,3,0,88,14,6,118
+2012,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",3,1,104,36,23,320,2,26,14,0,3,3,376,293,7,161
+2012,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",35,14,442,89,104,751,34,123,97,31,33,10,353,55,49,811
+2012,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",70,30,721,131,204,2109,104,416,145,50,49,20,624,59,77,1460
+2012,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",55,20,295,61,91,1534,135,372,119,41,37,19,411,81,19,648
+2012,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",68,37,652,143,175,1576,46,230,133,28,57,16,640,173,70,1199
+2012,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",26,11,289,70,101,598,21,89,122,10,30,5,336,86,21,630
+2012,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",20,10,223,44,95,704,35,119,78,26,20,3,322,97,15,541
+2012,"Marzahn-Hellersdorf",100307,"Biesdorf",20,10,141,31,55,1153,36,213,192,97,9,1,213,45,21,287
+2012,"Marzahn-Hellersdorf",100408,"Kaulsdorf",21,9,110,15,39,465,17,89,89,77,2,1,150,27,8,251
+2012,"Marzahn-Hellersdorf",100409,"Mahlsdorf",6,4,89,20,49,607,20,117,89,97,4,2,268,87,23,250
+2012,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",10,3,90,21,16,217,3,10,11,0,1,0,118,90,5,125
+2012,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",2,1,26,4,20,178,3,21,11,10,11,5,54,13,5,55
+2012,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",27,11,328,53,93,826,30,103,152,19,15,7,276,56,40,765
+2012,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",30,12,330,84,81,1027,42,128,99,30,20,3,290,35,21,718
+2012,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",11,4,134,34,42,770,18,120,40,59,7,3,150,30,12,314
+2012,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",26,10,234,48,74,1243,59,266,146,70,12,6,334,72,13,647
+2012,"Lichtenberg",110306,"Fennpfuhl",26,14,284,77,90,1232,67,243,187,89,17,8,419,90,22,748
+2012,"Lichtenberg",110307,"Alt-Lichtenberg",25,10,350,81,119,2071,58,328,194,76,26,11,377,75,35,818
+2012,"Lichtenberg",110308,"Frankfurter Allee Süd",19,6,67,18,16,578,24,96,111,25,6,2,105,12,52,200
+2012,"Lichtenberg",110409,"Neu Lichtenberg",27,16,284,68,95,1286,53,150,174,83,30,9,428,128,62,734
+2012,"Lichtenberg",110410,"Friedrichsfelde Nord",22,15,174,43,41,683,30,159,39,38,7,2,202,64,24,379
+2012,"Lichtenberg",110411,"Friedrichsfelde Süd",28,9,159,34,54,790,41,142,88,60,10,3,225,61,17,402
+2012,"Lichtenberg",110512,"Rummelsburger Bucht",4,0,18,6,7,227,4,69,48,7,16,6,67,20,2,60
+2012,"Lichtenberg",110513,"Karlshorst",8,3,95,18,41,694,15,137,124,63,8,2,180,60,24,273
+2012,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",5,1,87,18,16,306,1,17,5,3,2,0,248,180,6,139
+2012,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",60,21,400,101,169,1119,38,205,179,110,11,4,337,34,137,939
+2012,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",50,18,290,63,128,1525,37,301,215,79,22,10,324,53,149,721
+2012,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",11,3,271,73,111,1556,36,406,68,105,12,1,285,27,312,644
+2012,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",49,19,376,96,169,1353,27,205,107,103,15,8,328,47,86,867
+2012,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",24,14,233,67,61,1041,9,109,106,32,7,0,219,47,34,434
+2012,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",8,3,89,10,64,567,43,175,93,96,11,6,299,114,24,284
+2012,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",20,8,116,30,72,1059,50,293,250,155,7,4,250,57,40,340
+2012,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",38,12,332,79,115,1464,30,256,195,110,16,4,356,81,103,672
+2012,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",51,21,490,126,199,2013,65,305,173,99,74,18,505,72,76,1306
+2012,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",9,2,103,21,32,429,8,75,30,29,7,1,101,10,18,229
+2012,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",15,9,145,37,59,618,24,123,121,67,5,2,167,20,40,328
+2012,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",2,1,31,10,12,154,2,11,3,0,6,5,124,73,5,51
+2013,"Mitte",10111,"Tiergarten Süd",88,60,522,148,124,2652,17,392,149,62,14,3,263,28,114,974
+2013,"Mitte",10112,"Regierungsviertel",53,25,480,120,128,3862,23,337,254,33,5,1,355,130,67,862
+2013,"Mitte",10113,"Alexanderplatz",237,149,1442,354,333,10165,85,760,926,281,47,20,1301,448,590,3029
+2013,"Mitte",10114,"Brunnenstraße Süd",41,14,226,51,68,2503,101,244,358,137,8,3,366,134,92,1003
+2013,"Mitte",10221,"Moabit West",94,47,597,156,231,2441,76,463,336,139,47,12,532,88,209,1342
+2013,"Mitte",10222,"Moabit Ost",76,37,496,122,181,2536,82,446,353,128,35,16,418,59,362,1188
+2013,"Mitte",10331,"Osloer Straße",125,64,814,210,253,3540,26,378,279,166,28,8,441,55,366,1674
+2013,"Mitte",10332,"Brunnenstraße Nord",126,58,667,164,200,3248,102,521,269,196,36,13,454,84,299,1597
+2013,"Mitte",10441,"Parkviertel",87,38,712,206,269,2924,74,566,290,154,32,16,541,81,236,1722
+2013,"Mitte",10442,"Wedding Zentrum",160,76,1156,341,382,3307,48,603,319,201,70,25,822,127,526,2388
+2013,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",9,5,403,94,64,2136,4,43,14,0,6,4,251,158,3,521
+2013,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",125,76,693,185,243,3394,57,700,345,186,45,15,639,84,265,1703
+2013,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",143,81,869,242,282,5097,142,618,935,338,35,14,805,187,352,2051
+2013,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",140,108,556,192,115,2805,38,165,351,103,27,4,510,120,208,1202
+2013,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",210,169,562,199,90,2474,66,169,371,119,32,13,468,137,767,1239
+2013,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",31,18,214,63,66,1361,62,189,184,56,14,2,255,27,27,634
+2013,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",87,62,492,144,107,2844,53,304,267,68,15,3,530,117,219,1172
+2013,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",33,19,298,71,77,1769,82,150,395,76,33,13,440,55,64,862
+2013,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",124,80,897,297,156,4070,96,333,660,144,61,26,1270,308,468,2148
+2013,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",13,9,211,44,32,660,6,8,7,0,3,0,177,133,21,278
+2013,"Pankow",30101,"Buch",12,5,119,20,66,858,21,180,143,29,18,9,210,55,33,308
+2013,"Pankow",30202,"Blankenfelde/Niederschönhausen",16,4,126,28,80,894,35,274,168,62,21,8,180,34,15,386
+2013,"Pankow",30203,"Buchholz",3,2,75,19,36,483,47,74,45,23,2,0,130,23,8,179
+2013,"Pankow",30304,"Karow",4,2,106,19,40,449,8,102,101,36,6,3,88,11,6,206
+2013,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",6,1,66,12,38,824,34,217,121,63,10,7,119,7,14,197
+2013,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",15,8,60,13,38,604,13,131,126,67,6,3,80,16,10,193
+2013,"Pankow",30406,"Pankow Zentrum",37,11,221,47,104,2164,45,254,570,102,14,6,337,71,29,776
+2013,"Pankow",30408,"Pankow Süd",16,9,226,52,87,1211,55,222,392,59,14,5,230,25,27,613
+2013,"Pankow",30509,"Weißensee",28,9,278,56,127,1655,68,225,251,63,25,16,425,102,44,973
+2013,"Pankow",30510,"Weißensee Ost",11,8,146,25,47,626,22,147,61,26,28,22,132,18,32,334
+2013,"Pankow",30611,"Prenzlauer Berg Nordwest",51,31,208,62,59,1718,94,184,407,67,12,6,325,78,69,683
+2013,"Pankow",30612,"Prenzlauer Berg Nord",21,6,202,43,65,1914,88,216,452,52,14,3,254,61,52,595
+2013,"Pankow",30613,"Helmholtzplatz",14,4,148,38,44,1280,57,91,279,90,10,2,238,65,20,590
+2013,"Pankow",30614,"Prenzlauer Berg Ost",43,21,243,59,72,2151,49,317,337,43,17,5,430,167,68,619
+2013,"Pankow",30715,"Prenzlauer Berg Südwest",29,12,325,86,56,2201,87,218,349,118,16,9,403,130,45,907
+2013,"Pankow",30716,"Prenzlauer Berg Süd",17,9,154,33,76,1633,131,256,394,87,17,6,327,70,47,686
+2013,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",9,5,90,20,16,398,8,30,7,5,3,1,188,142,20,125
+2013,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",53,16,298,64,154,1119,71,418,65,79,15,7,230,20,156,710
+2013,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",19,8,127,41,45,720,34,232,56,62,3,2,143,47,22,273
+2013,"Charlottenburg-Wilmersdorf",40203,"Westend",31,10,192,46,116,2344,64,465,193,110,10,7,226,34,23,587
+2013,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",46,21,205,46,92,1205,29,176,256,92,12,7,186,28,63,633
+2013,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",40,22,146,32,70,846,21,201,103,57,11,3,130,13,96,466
+2013,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",60,24,385,98,127,2260,27,308,355,157,14,5,410,94,141,965
+2013,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",46,17,247,55,108,1384,59,292,278,108,8,4,290,73,135,723
+2013,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",60,28,295,79,98,2798,20,198,268,119,8,3,211,25,165,695
+2013,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",112,46,919,287,183,4299,60,369,172,106,6,1,342,75,197,1517
+2013,"Charlottenburg-Wilmersdorf",40310,"Halensee",23,8,135,25,71,1011,64,180,172,85,7,3,167,38,30,433
+2013,"Charlottenburg-Wilmersdorf",40411,"Grunewald",13,6,96,28,68,950,53,330,82,164,6,3,123,14,13,414
+2013,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",11,5,72,14,33,816,30,212,69,111,4,0,110,17,8,266
+2013,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",12,4,83,12,43,656,24,221,127,55,2,2,140,25,2,293
+2013,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",37,15,258,69,109,1970,83,448,263,194,15,4,330,89,52,778
+2013,"Charlottenburg-Wilmersdorf",40515,"Barstraße",23,14,116,29,57,903,15,199,154,64,1,1,143,21,20,378
+2013,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",51,13,227,62,95,1690,61,388,356,100,24,10,303,61,50,667
+2013,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",1,1,15,5,5,68,2,33,4,0,2,1,21,0,2,27
+2013,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",1,0,182,57,33,694,3,16,0,0,1,1,254,215,5,237
+2013,"Spandau",50101,"Hakenfelde",14,8,172,42,76,1005,25,187,56,52,20,6,222,21,40,704
+2013,"Spandau",50102,"Falkenhagener Feld",52,21,445,85,150,1170,35,180,146,89,40,5,351,13,46,1135
+2013,"Spandau",50103,"Spandau Mitte",96,46,758,181,243,2471,41,291,267,72,31,8,602,112,223,1630
+2013,"Spandau",50204,"Brunsbütteler Damm",16,7,167,44,59,911,32,136,62,58,10,2,229,56,21,417
+2013,"Spandau",50205,"Heerstraße Nord",29,15,377,102,159,1124,51,167,71,71,19,3,352,43,34,1031
+2013,"Spandau",50206,"Wilhelmstadt",43,21,478,111,217,2470,45,238,188,92,21,8,480,39,120,1248
+2013,"Spandau",50307,"Haselhorst",20,8,156,40,64,1099,30,180,59,53,11,3,238,22,25,551
+2013,"Spandau",50308,"Siemensstadt",19,11,158,34,67,775,29,153,83,30,8,4,155,28,12,426
+2013,"Spandau",50409,"Gatow/Kladow",4,1,70,16,32,456,11,107,25,80,11,5,141,28,4,163
+2013,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",2,1,36,6,11,244,4,11,7,1,3,1,150,119,3,53
+2013,"Steglitz-Zehlendorf",60101,"Schloßstr.",67,32,205,30,71,2879,29,193,176,107,12,5,235,75,40,586
+2013,"Steglitz-Zehlendorf",60102,"Albrechtstr.",54,22,263,52,145,1617,112,418,232,162,17,6,332,62,59,879
+2013,"Steglitz-Zehlendorf",60203,"Lankwitz",34,14,311,60,138,1315,61,317,122,137,24,6,364,70,88,784
+2013,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",19,11,232,52,97,1286,61,344,188,89,12,6,235,34,55,549
+2013,"Steglitz-Zehlendorf",60305,"Teltower Damm",35,14,153,30,92,1403,57,374,284,148,17,4,254,39,51,475
+2013,"Steglitz-Zehlendorf",60306,"Drakestr.",30,7,198,33,108,1936,85,497,222,166,17,8,289,33,49,635
+2013,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",21,11,161,28,77,1289,49,441,149,155,9,2,215,22,33,422
+2013,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",27,11,219,44,118,2207,88,684,226,292,17,2,404,139,46,610
+2013,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",1,1,44,8,26,214,3,7,2,0,2,1,209,169,2,68
+2013,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",241,122,786,237,243,4449,85,508,447,233,54,19,681,135,307,1976
+2013,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",93,49,548,149,177,2900,56,376,627,162,23,9,518,113,218,1406
+2013,"Tempelhof-Schöneberg",70303,"Friedenau",62,19,259,43,115,2909,79,430,424,89,28,7,402,106,75,751
+2013,"Tempelhof-Schöneberg",70404,"Tempelhof",88,35,659,155,299,3581,109,791,348,145,48,13,703,123,300,1647
+2013,"Tempelhof-Schöneberg",70505,"Mariendorf",60,35,417,90,178,1886,91,513,140,145,27,5,493,59,102,1143
+2013,"Tempelhof-Schöneberg",70606,"Marienfelde",23,12,243,56,109,1310,35,238,78,68,22,3,225,23,50,629
+2013,"Tempelhof-Schöneberg",70707,"Lichtenrade",31,14,339,64,135,1231,51,390,98,179,29,10,338,46,64,754
+2013,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",2,2,69,14,22,375,0,7,7,1,1,1,105,68,6,105
+2013,"Neukölln",80101,"Schillerpromenade",144,84,679,218,208,2193,40,284,201,140,32,13,561,119,929,1630
+2013,"Neukölln",80102,"Neuköllner Mitte/Zentrum",135,69,843,237,248,4367,58,437,226,175,39,19,618,109,200,2048
+2013,"Neukölln",80103,"Reuterstraße",95,49,509,182,173,2808,65,244,300,151,27,14,567,112,232,1285
+2013,"Neukölln",80104,"Rixdorf",125,72,603,168,201,2211,50,367,269,148,31,15,509,86,110,1531
+2013,"Neukölln",80105,"Köllnische Heide",30,16,231,65,132,1339,54,349,34,44,21,8,508,45,29,672
+2013,"Neukölln",80206,"Britz",75,47,427,113,199,2123,99,623,156,159,39,15,413,39,53,1188
+2013,"Neukölln",80207,"Buckow",24,11,138,38,69,687,23,214,39,93,11,3,227,29,23,455
+2013,"Neukölln",80308,"Gropiusstadt",76,37,274,65,115,1775,44,242,164,72,28,11,479,54,28,834
+2013,"Neukölln",80409,"Buckow Nord",11,3,88,19,38,461,12,115,25,28,13,1,91,5,5,216
+2013,"Neukölln",80410,"Rudow",32,19,230,69,104,1344,111,441,144,153,10,3,288,23,16,570
+2013,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",5,4,57,17,11,230,2,16,0,0,0,0,52,39,10,77
+2013,"Treptow-Köpenick",90101,"Alt-Treptow",45,29,127,30,33,1069,21,109,228,42,2,1,166,51,65,343
+2013,"Treptow-Köpenick",90102,"Plänterwald",12,7,82,16,25,594,27,210,77,32,7,1,133,16,6,241
+2013,"Treptow-Köpenick",90103,"Baumschulenweg",21,12,95,20,59,684,35,211,100,47,8,3,167,46,24,308
+2013,"Treptow-Köpenick",90104,"Johannisthal",11,4,99,16,61,619,57,168,75,45,9,4,164,34,15,256
+2013,"Treptow-Köpenick",90205,"Oberschöneweide",23,13,353,81,99,1066,69,185,119,27,14,8,372,132,41,720
+2013,"Treptow-Köpenick",90206,"Niederschöneweide",14,5,145,40,44,903,25,93,133,10,11,6,169,51,32,279
+2013,"Treptow-Köpenick",90207,"Adlershof",20,13,118,34,57,960,32,152,204,18,10,3,158,28,13,291
+2013,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",10,5,143,35,41,327,20,54,75,13,20,14,202,64,20,316
+2013,"Treptow-Köpenick",90309,"Altglienicke",7,3,164,32,73,634,47,228,97,46,15,3,130,19,23,332
+2013,"Treptow-Köpenick",90310,"Bohnsdorf",6,2,66,9,30,352,23,87,43,28,5,3,115,34,14,138
+2013,"Treptow-Köpenick",90311,"Grünau",2,0,22,5,12,233,15,49,72,15,4,3,56,18,7,54
+2013,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",1,0,21,3,12,171,4,82,3,13,2,2,27,2,0,43
+2013,"Treptow-Köpenick",90413,"Köpenick-Süd",1,1,73,9,31,361,20,123,61,10,16,3,133,28,7,186
+2013,"Treptow-Köpenick",90414,"Allende-Viertel",0,0,38,2,14,198,10,20,51,2,3,0,48,16,2,97
+2013,"Treptow-Köpenick",90415,"Altstadt-Kietz",7,2,94,15,24,220,7,28,61,9,3,1,88,16,5,199
+2013,"Treptow-Köpenick",90416,"Müggelheim",0,0,14,1,16,107,6,32,7,6,2,1,26,0,1,45
+2013,"Treptow-Köpenick",90517,"Friedrichshagen",10,4,73,16,36,560,30,91,221,13,8,2,112,25,2,176
+2013,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",2,2,25,4,23,348,11,141,69,37,2,1,55,5,2,75
+2013,"Treptow-Köpenick",90519,"Dammvorstadt",10,4,139,28,37,807,16,66,163,10,20,12,150,12,51,322
+2013,"Treptow-Köpenick",90520,"Köpenick-Nord",4,2,38,14,31,281,20,78,59,27,8,3,73,9,1,129
+2013,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",3,1,80,25,17,275,5,29,5,1,2,2,278,221,11,106
+2013,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",38,17,402,87,115,795,52,126,88,30,32,11,279,43,33,780
+2013,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",81,31,782,165,184,1973,103,467,147,43,47,15,505,68,78,1396
+2013,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",52,21,340,68,125,1631,157,361,114,37,17,7,356,66,23,818
+2013,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",61,35,717,141,194,1465,45,202,169,23,72,26,581,150,83,1357
+2013,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",30,20,205,38,80,568,18,79,126,14,19,9,224,33,32,479
+2013,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",34,23,286,48,86,657,32,121,102,20,26,3,252,75,33,595
+2013,"Marzahn-Hellersdorf",100307,"Biesdorf",10,4,177,23,77,1260,35,290,190,55,18,8,215,28,18,349
+2013,"Marzahn-Hellersdorf",100408,"Kaulsdorf",9,4,71,13,41,504,16,168,86,82,6,3,122,26,7,178
+2013,"Marzahn-Hellersdorf",100409,"Mahlsdorf",9,3,86,14,55,734,41,215,86,112,2,0,130,25,15,184
+2013,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",3,0,73,18,15,243,9,3,6,0,1,0,154,106,2,93
+2013,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",2,0,23,3,12,246,4,41,8,35,5,4,29,3,5,52
+2013,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",29,16,333,59,81,802,27,125,99,18,13,7,201,27,67,712
+2013,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",32,8,287,49,64,980,62,130,78,40,21,6,274,30,40,643
+2013,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",13,3,117,23,48,845,24,145,37,44,11,6,193,26,14,339
+2013,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",31,16,206,37,93,1367,72,279,151,66,15,4,316,71,34,731
+2013,"Lichtenberg",110306,"Fennpfuhl",26,14,257,49,78,1170,77,262,188,44,17,4,318,72,25,613
+2013,"Lichtenberg",110307,"Alt-Lichtenberg",37,22,372,99,109,1943,65,327,178,52,22,11,388,103,56,874
+2013,"Lichtenberg",110308,"Frankfurter Allee Süd",18,10,90,15,31,646,35,106,137,16,8,4,104,13,53,237
+2013,"Lichtenberg",110409,"Neu Lichtenberg",34,16,246,48,68,1382,72,208,287,30,24,14,318,94,65,663
+2013,"Lichtenberg",110410,"Friedrichsfelde Nord",15,4,147,33,50,716,50,144,34,39,20,7,142,28,17,338
+2013,"Lichtenberg",110411,"Friedrichsfelde Süd",25,8,161,32,61,743,49,141,88,49,11,3,202,76,14,403
+2013,"Lichtenberg",110512,"Rummelsburger Bucht",6,4,19,7,8,173,9,45,25,9,22,10,63,13,8,62
+2013,"Lichtenberg",110513,"Karlshorst",10,5,111,22,44,852,67,186,157,70,19,11,192,32,5,351
+2013,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",4,3,64,24,6,209,6,8,7,0,1,0,169,123,6,83
+2013,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",38,15,393,94,166,1183,30,191,158,80,16,10,260,29,132,979
+2013,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",49,21,313,63,130,1433,39,322,170,60,30,13,322,55,152,789
+2013,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",15,5,228,52,89,1446,20,254,53,76,10,7,175,23,228,529
+2013,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",45,17,342,80,166,1375,32,187,117,67,14,8,321,43,100,850
+2013,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",23,13,158,38,53,969,12,98,102,19,6,3,165,30,41,336
+2013,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",4,3,90,15,48,639,16,261,77,129,10,4,212,36,27,279
+2013,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",25,9,117,23,49,1180,41,391,273,205,7,1,227,49,19,334
+2013,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",45,22,310,61,130,1631,22,291,169,99,16,4,264,59,97,662
+2013,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",86,57,600,135,219,1986,37,328,133,67,44,18,428,36,139,1486
+2013,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",14,9,85,21,39,487,6,82,26,36,6,4,116,15,14,223
+2013,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",15,7,121,27,52,645,11,102,70,64,17,5,117,13,33,272
+2013,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",3,0,23,7,7,136,1,7,0,1,6,6,92,46,7,34
+2014,"Mitte",10111,"Tiergarten Süd",74,48,514,134,133,2604,17,220,195,70,8,5,252,30,163,1043
+2014,"Mitte",10112,"Regierungsviertel",51,19,432,84,115,4370,11,189,371,52,3,2,385,137,89,843
+2014,"Mitte",10113,"Alexanderplatz",203,106,1309,364,350,10510,89,710,1074,241,46,18,1207,351,506,2984
+2014,"Mitte",10114,"Brunnenstraße Süd",34,16,180,31,68,2248,56,230,488,127,6,1,356,132,79,771
+2014,"Mitte",10221,"Moabit West",76,32,557,147,159,2650,73,482,399,118,36,15,482,82,216,1226
+2014,"Mitte",10222,"Moabit Ost",57,33,599,157,173,3834,43,415,426,98,42,19,498,83,399,1282
+2014,"Mitte",10331,"Osloer Straße",111,52,772,190,218,3846,31,410,344,202,38,14,471,48,266,1645
+2014,"Mitte",10332,"Brunnenstraße Nord",107,47,648,167,217,3183,69,407,384,178,48,19,532,92,302,1574
+2014,"Mitte",10441,"Parkviertel",89,46,652,151,240,3372,58,461,353,176,28,8,473,52,192,1687
+2014,"Mitte",10442,"Wedding Zentrum",131,68,1052,283,351,3802,61,487,426,257,35,17,692,160,511,2342
+2014,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",81,54,64,28,60,1515,27,341,209,5,15,7,58,0,157,306
+2014,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",119,80,675,194,224,3951,53,825,463,162,45,14,600,90,218,1563
+2014,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",128,60,986,264,262,5460,97,545,1010,230,54,18,854,212,226,2047
+2014,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",125,86,566,214,128,3197,26,185,398,97,40,13,462,132,405,1153
+2014,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",171,132,583,271,117,2814,31,213,373,82,57,18,508,165,996,1231
+2014,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",30,20,187,43,72,1462,66,272,223,72,18,6,265,34,27,631
+2014,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",88,57,524,144,109,3300,42,302,352,46,18,6,515,87,291,1054
+2014,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",16,9,300,65,91,2095,72,194,469,71,30,10,562,77,62,998
+2014,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",162,116,880,287,163,5162,71,358,849,143,44,19,1184,218,665,2099
+2014,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",101,90,65,37,46,1352,27,213,198,1,8,5,84,0,149,306
+2014,"Pankow",30101,"Buch",6,3,123,32,79,761,30,194,95,24,19,8,171,25,20,307
+2014,"Pankow",30202,"Blankenfelde/Niederschönhausen",7,2,120,30,59,759,23,168,124,85,14,4,144,22,13,321
+2014,"Pankow",30203,"Buchholz",2,1,68,16,31,459,21,78,51,38,2,0,97,27,9,148
+2014,"Pankow",30304,"Karow",4,3,49,8,23,397,9,89,104,50,2,0,100,8,9,143
+2014,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",8,1,80,17,48,839,17,135,105,53,7,7,112,8,7,201
+2014,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",9,3,56,6,38,622,19,111,100,67,5,0,117,20,14,217
+2014,"Pankow",30406,"Pankow Zentrum",35,20,186,42,80,2190,56,237,614,69,25,11,316,74,36,711
+2014,"Pankow",30408,"Pankow Süd",26,15,162,47,75,1392,69,220,386,72,13,10,303,53,21,670
+2014,"Pankow",30509,"Weißensee",28,14,289,67,109,1669,67,219,257,65,19,4,382,79,37,839
+2014,"Pankow",30510,"Weißensee Ost",5,4,146,27,53,591,26,132,80,36,8,2,180,32,24,326
+2014,"Pankow",30611,"Prenzlauer Berg Nordwest",38,22,224,61,56,1935,51,234,507,45,12,4,319,90,76,760
+2014,"Pankow",30612,"Prenzlauer Berg Nord",31,13,168,37,56,1984,80,213,546,38,7,4,284,123,35,627
+2014,"Pankow",30613,"Helmholtzplatz",10,4,137,40,32,1472,47,109,364,95,7,4,215,64,23,609
+2014,"Pankow",30614,"Prenzlauer Berg Ost",30,18,247,60,63,2298,92,313,351,77,10,4,546,228,51,701
+2014,"Pankow",30715,"Prenzlauer Berg Südwest",24,13,319,95,56,2267,62,192,426,187,8,2,351,110,31,934
+2014,"Pankow",30716,"Prenzlauer Berg Süd",13,7,145,28,49,1697,100,229,380,137,13,6,321,73,29,738
+2014,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",37,27,68,22,44,678,47,201,170,0,1,0,36,0,65,211
+2014,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",47,25,302,59,120,1216,54,396,64,76,9,4,246,50,160,759
+2014,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",16,10,163,52,41,692,54,191,56,96,1,1,184,76,26,307
+2014,"Charlottenburg-Wilmersdorf",40203,"Westend",36,24,222,44,121,2767,64,406,193,112,12,8,280,55,20,776
+2014,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",30,8,242,53,101,1205,23,165,231,88,6,3,233,67,38,643
+2014,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",41,16,138,39,68,825,16,205,71,42,5,0,119,16,151,369
+2014,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",52,28,429,87,163,2391,50,289,361,118,12,3,368,77,79,1040
+2014,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",36,12,235,59,77,1598,57,323,277,110,11,7,219,55,116,660
+2014,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",54,21,232,51,117,2830,24,216,321,103,10,4,225,22,138,664
+2014,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",107,52,919,278,185,4781,48,377,216,106,9,6,376,93,168,1554
+2014,"Charlottenburg-Wilmersdorf",40310,"Halensee",16,7,124,33,73,1018,37,160,107,84,4,2,153,36,35,391
+2014,"Charlottenburg-Wilmersdorf",40411,"Grunewald",13,8,82,21,51,931,63,300,56,244,7,3,124,15,16,434
+2014,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",12,7,85,14,36,607,23,131,67,99,4,1,67,2,8,256
+2014,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",7,5,73,7,31,605,16,121,183,74,5,2,90,20,16,242
+2014,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",59,35,219,35,119,1878,83,434,239,170,19,5,345,95,69,783
+2014,"Charlottenburg-Wilmersdorf",40515,"Barstraße",18,14,108,22,56,854,19,209,170,59,3,3,108,22,39,301
+2014,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",56,35,261,51,81,1920,70,385,400,165,9,4,272,67,51,722
+2014,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",0,0,6,2,3,43,0,17,3,0,0,0,13,1,3,11
+2014,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",41,31,0,0,50,668,66,349,102,0,8,2,0,0,75,135
+2014,"Spandau",50101,"Hakenfelde",17,10,156,42,65,705,33,148,63,36,18,7,173,9,32,376
+2014,"Spandau",50102,"Falkenhagener Feld",36,14,420,87,137,1202,31,224,164,98,29,10,357,33,61,991
+2014,"Spandau",50103,"Spandau Mitte",99,67,674,154,212,2815,36,354,304,55,26,10,546,83,226,1624
+2014,"Spandau",50204,"Brunsbütteler Damm",16,12,132,35,79,780,36,145,64,75,13,4,146,14,24,350
+2014,"Spandau",50205,"Heerstraße Nord",34,24,362,67,127,1028,34,155,99,71,33,10,297,20,30,858
+2014,"Spandau",50206,"Wilhelmstadt",64,27,536,127,190,2215,33,252,240,95,21,12,467,83,92,1075
+2014,"Spandau",50307,"Haselhorst",19,7,150,33,49,859,31,195,65,31,17,8,167,17,18,351
+2014,"Spandau",50308,"Siemensstadt",24,7,168,43,60,1015,38,201,102,31,9,5,165,45,15,464
+2014,"Spandau",50409,"Gatow/Kladow",7,4,81,16,31,454,22,95,27,63,6,4,93,5,6,154
+2014,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",28,23,45,15,38,317,18,116,46,0,2,0,35,0,45,165
+2014,"Steglitz-Zehlendorf",60101,"Schloßstr.",43,18,174,45,77,2302,39,173,180,115,8,2,247,74,40,488
+2014,"Steglitz-Zehlendorf",60102,"Albrechtstr.",43,25,267,43,136,1449,85,348,229,145,16,5,417,78,42,823
+2014,"Steglitz-Zehlendorf",60203,"Lankwitz",26,13,277,63,129,1147,67,290,101,101,37,18,271,37,116,661
+2014,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",15,7,199,38,85,1238,63,289,222,130,12,5,309,33,46,560
+2014,"Steglitz-Zehlendorf",60305,"Teltower Damm",25,12,150,29,79,1377,58,362,311,146,14,4,315,64,42,456
+2014,"Steglitz-Zehlendorf",60306,"Drakestr.",9,7,200,29,103,1645,86,363,222,136,11,7,278,53,44,557
+2014,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",18,14,137,25,67,1264,69,310,143,159,14,3,315,103,23,394
+2014,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",21,11,145,27,83,2379,104,573,376,446,25,6,428,143,44,655
+2014,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",10,8,26,4,30,291,11,100,76,1,2,2,0,0,36,101
+2014,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",170,105,725,210,278,4601,67,492,527,261,42,12,571,106,315,1865
+2014,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",57,26,539,121,174,3036,49,406,685,168,22,6,493,113,216,1220
+2014,"Tempelhof-Schöneberg",70303,"Friedenau",43,30,252,42,93,2785,67,386,472,179,24,16,407,127,52,777
+2014,"Tempelhof-Schöneberg",70404,"Tempelhof",80,49,671,142,290,3816,113,798,372,186,46,14,745,138,316,1793
+2014,"Tempelhof-Schöneberg",70505,"Mariendorf",47,28,395,94,161,1807,78,490,146,142,20,9,437,55,96,976
+2014,"Tempelhof-Schöneberg",70606,"Marienfelde",27,19,204,37,85,1231,37,267,115,55,29,10,286,30,43,552
+2014,"Tempelhof-Schöneberg",70707,"Lichtenrade",28,14,304,59,138,1146,74,330,121,126,23,5,389,55,69,726
+2014,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",44,35,27,0,36,640,19,167,102,0,7,1,39,0,39,155
+2014,"Neukölln",80101,"Schillerpromenade",71,37,519,139,158,1923,25,310,180,123,18,8,547,190,519,1176
+2014,"Neukölln",80102,"Neuköllner Mitte/Zentrum",93,46,773,243,252,4450,60,553,247,154,36,10,615,113,176,1717
+2014,"Neukölln",80103,"Reuterstraße",71,32,569,147,172,2898,45,248,319,192,18,7,495,129,129,1248
+2014,"Neukölln",80104,"Rixdorf",88,41,576,151,159,2328,52,490,331,194,28,12,545,95,124,1358
+2014,"Neukölln",80105,"Köllnische Heide",26,13,199,55,122,1132,32,345,37,48,22,12,536,46,42,539
+2014,"Neukölln",80206,"Britz",73,46,457,111,178,2243,90,572,167,175,27,8,450,61,92,1207
+2014,"Neukölln",80207,"Buckow",18,8,133,20,67,687,49,203,32,81,8,4,177,14,7,359
+2014,"Neukölln",80308,"Gropiusstadt",55,39,341,92,132,1687,42,184,185,88,27,11,471,44,33,963
+2014,"Neukölln",80409,"Buckow Nord",9,4,94,15,31,468,9,96,30,51,10,8,71,4,9,204
+2014,"Neukölln",80410,"Rudow",32,18,207,54,92,1186,114,317,153,174,22,10,300,30,8,542
+2014,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",44,36,84,20,65,687,20,164,51,1,2,1,46,0,41,231
+2014,"Treptow-Köpenick",90101,"Alt-Treptow",45,36,134,35,43,1198,30,183,281,38,11,5,195,62,66,364
+2014,"Treptow-Köpenick",90102,"Plänterwald",11,7,45,8,23,746,36,175,63,38,11,8,148,14,16,247
+2014,"Treptow-Köpenick",90103,"Baumschulenweg",19,8,106,23,57,894,63,216,125,52,8,3,140,24,21,305
+2014,"Treptow-Köpenick",90104,"Johannisthal",15,9,84,17,47,581,31,105,81,37,10,2,149,13,12,253
+2014,"Treptow-Köpenick",90205,"Oberschöneweide",12,5,287,65,94,987,46,245,138,23,12,7,221,39,50,587
+2014,"Treptow-Köpenick",90206,"Niederschöneweide",13,8,153,20,27,924,22,106,129,20,7,4,193,92,38,296
+2014,"Treptow-Köpenick",90207,"Adlershof",13,7,112,23,59,1054,44,183,165,28,11,5,201,79,19,324
+2014,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",5,5,117,19,36,379,27,68,78,13,3,1,101,18,20,276
+2014,"Treptow-Köpenick",90309,"Altglienicke",9,5,148,20,56,724,71,178,95,61,5,1,129,19,23,299
+2014,"Treptow-Köpenick",90310,"Bohnsdorf",7,6,53,11,28,400,19,124,54,28,1,1,68,12,10,128
+2014,"Treptow-Köpenick",90311,"Grünau",5,1,43,16,13,272,8,83,63,8,3,2,98,38,4,95
+2014,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",1,1,19,2,6,176,3,53,6,13,1,0,23,0,2,42
+2014,"Treptow-Köpenick",90413,"Köpenick-Süd",4,2,64,10,28,437,21,142,72,15,20,6,176,17,12,222
+2014,"Treptow-Köpenick",90414,"Allende-Viertel",2,0,50,13,29,222,14,36,25,8,3,2,61,11,5,117
+2014,"Treptow-Köpenick",90415,"Altstadt-Kietz",2,1,84,9,22,255,11,59,53,7,11,6,90,8,3,181
+2014,"Treptow-Köpenick",90416,"Müggelheim",0,0,12,2,5,105,4,35,8,16,4,4,22,1,3,26
+2014,"Treptow-Köpenick",90517,"Friedrichshagen",2,0,83,25,40,780,48,152,253,26,2,1,148,35,10,270
+2014,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",2,1,33,7,16,337,6,132,79,30,2,1,63,7,1,72
+2014,"Treptow-Köpenick",90519,"Dammvorstadt",14,7,122,33,36,706,12,49,142,8,8,5,192,27,44,337
+2014,"Treptow-Köpenick",90520,"Köpenick-Nord",3,2,45,11,29,342,25,93,76,25,1,1,99,29,13,145
+2014,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",25,21,10,7,33,348,25,186,84,1,9,7,0,0,20,143
+2014,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",32,19,440,75,96,637,44,109,94,19,20,7,195,21,36,753
+2014,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",66,43,685,149,161,1681,79,305,184,28,23,12,525,56,70,1365
+2014,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",55,29,339,67,118,1383,117,322,112,47,25,7,349,38,31,751
+2014,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",32,20,634,109,189,1595,65,211,166,36,31,13,565,110,94,1300
+2014,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",19,9,245,35,78,598,27,102,104,12,9,4,193,48,41,543
+2014,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",17,13,258,45,96,627,43,98,89,23,30,8,264,74,22,577
+2014,"Marzahn-Hellersdorf",100307,"Biesdorf",8,5,162,23,66,1112,40,272,177,62,8,2,166,19,32,341
+2014,"Marzahn-Hellersdorf",100408,"Kaulsdorf",5,1,67,10,35,540,15,169,94,75,8,4,152,16,5,205
+2014,"Marzahn-Hellersdorf",100409,"Mahlsdorf",6,3,100,20,51,1204,30,154,119,79,3,1,147,29,5,225
+2014,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",20,17,52,12,21,130,17,41,34,0,5,0,9,0,8,121
+2014,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",1,1,15,0,11,217,4,36,9,16,5,1,43,6,4,44
+2014,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",19,14,294,44,107,654,31,117,91,13,12,2,234,15,56,606
+2014,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",31,22,324,65,78,962,63,106,114,23,9,3,184,27,48,634
+2014,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",10,6,123,26,36,722,25,100,46,55,7,1,108,9,14,245
+2014,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",21,10,261,42,91,1246,60,317,123,70,14,2,280,57,45,665
+2014,"Lichtenberg",110306,"Fennpfuhl",22,11,248,47,93,1244,136,327,176,72,5,3,325,65,36,627
+2014,"Lichtenberg",110307,"Alt-Lichtenberg",40,21,321,81,90,2174,102,435,240,63,11,7,336,80,44,788
+2014,"Lichtenberg",110308,"Frankfurter Allee Süd",15,9,114,24,20,763,35,134,135,17,17,7,124,36,43,239
+2014,"Lichtenberg",110409,"Neu Lichtenberg",21,11,251,52,81,1569,60,237,292,69,14,5,384,105,40,771
+2014,"Lichtenberg",110410,"Friedrichsfelde Nord",19,12,133,38,52,686,53,113,53,36,3,1,131,41,13,321
+2014,"Lichtenberg",110411,"Friedrichsfelde Süd",14,5,141,31,45,742,55,146,132,50,7,6,190,89,17,343
+2014,"Lichtenberg",110512,"Rummelsburger Bucht",2,2,33,10,13,270,10,69,41,15,16,9,41,8,12,91
+2014,"Lichtenberg",110513,"Karlshorst",7,4,104,23,51,854,44,212,242,36,10,4,128,15,5,271
+2014,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",14,13,20,4,12,304,17,118,56,0,3,2,0,0,1,63
+2014,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",32,16,372,95,168,1321,34,214,178,142,25,9,297,39,89,1049
+2014,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",52,26,330,78,134,1520,43,258,168,112,20,7,331,98,143,907
+2014,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",9,4,163,42,95,762,19,143,55,43,10,6,118,6,143,407
+2014,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",41,19,330,74,124,1659,38,258,118,130,19,11,402,61,81,907
+2014,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",24,10,140,30,48,1024,14,73,114,20,5,1,139,29,55,357
+2014,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",3,0,72,17,38,570,29,213,68,123,5,1,156,22,26,186
+2014,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",18,13,107,26,46,1124,59,363,192,242,14,7,170,20,33,286
+2014,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",49,32,358,87,111,1479,23,251,171,123,23,4,294,65,67,778
+2014,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",61,34,551,135,214,1949,47,349,154,67,72,25,418,32,103,1480
+2014,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",16,6,79,12,36,387,8,78,31,25,10,5,109,28,13,206
+2014,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",15,6,105,25,49,548,19,121,38,66,7,0,131,26,30,312
+2014,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",20,15,75,15,52,1032,19,140,67,1,5,1,21,0,46,201
+2015,"Mitte",10111,"Tiergarten Süd",82,59,480,109,108,2763,15,321,247,52,18,11,304,85,137,949
+2015,"Mitte",10112,"Regierungsviertel",76,34,433,89,126,5399,15,289,371,48,10,4,304,101,48,810
+2015,"Mitte",10113,"Alexanderplatz",157,90,1440,408,320,12150,83,820,1082,236,35,12,1171,333,499,2973
+2015,"Mitte",10114,"Brunnenstraße Süd",29,13,204,40,61,2419,61,231,418,108,9,6,346,116,72,862
+2015,"Mitte",10221,"Moabit West",115,54,569,150,186,3017,53,589,338,112,25,10,444,74,165,1212
+2015,"Mitte",10222,"Moabit Ost",85,45,738,192,204,4928,42,433,452,98,18,6,446,81,341,1418
+2015,"Mitte",10331,"Osloer Straße",98,59,788,243,247,3617,35,330,316,167,35,13,478,72,231,1584
+2015,"Mitte",10332,"Brunnenstraße Nord",85,37,562,145,196,2912,66,409,405,113,23,10,480,86,272,1239
+2015,"Mitte",10441,"Parkviertel",83,45,677,177,214,3582,55,537,343,126,31,16,491,88,198,1493
+2015,"Mitte",10442,"Wedding Zentrum",148,90,1027,308,354,3857,48,505,436,203,34,14,643,127,581,2107
+2015,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",82,63,189,62,62,1969,36,382,186,2,15,8,149,47,94,431
+2015,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",125,61,659,187,221,4574,59,861,439,152,31,10,650,99,415,1581
+2015,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",113,50,812,200,204,6665,140,735,1209,240,37,18,783,170,360,1861
+2015,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",143,72,633,224,109,3683,36,276,376,86,31,10,464,126,540,1178
+2015,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",167,106,469,189,141,3384,50,304,411,85,26,12,442,158,1949,1092
+2015,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",34,18,149,45,47,1449,49,197,233,76,10,3,215,55,36,674
+2015,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",126,82,518,145,104,3492,28,237,301,44,14,7,463,141,438,1104
+2015,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",28,15,320,95,78,2113,53,134,396,60,39,18,554,135,71,1069
+2015,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",196,100,999,360,160,5581,65,383,692,121,35,13,1023,378,1468,2287
+2015,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",95,77,149,55,42,1904,33,198,158,2,5,2,129,30,294,377
+2015,"Pankow",30101,"Buch",9,5,175,47,76,876,39,184,146,24,22,4,251,36,30,423
+2015,"Pankow",30202,"Blankenfelde/Niederschönhausen",7,1,113,21,56,729,20,198,117,67,14,4,145,39,18,288
+2015,"Pankow",30203,"Buchholz",2,0,61,12,23,384,18,44,36,34,7,4,92,32,5,134
+2015,"Pankow",30304,"Karow",7,4,59,13,36,428,17,112,92,38,5,1,92,16,4,142
+2015,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",8,1,96,25,38,783,15,125,127,62,5,3,94,9,6,188
+2015,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",6,1,56,7,31,566,21,156,74,67,9,4,108,20,8,173
+2015,"Pankow",30406,"Pankow Zentrum",38,22,229,50,90,2272,52,196,634,89,13,5,395,113,41,785
+2015,"Pankow",30408,"Pankow Süd",34,20,158,32,71,1480,52,222,336,73,11,7,260,68,37,824
+2015,"Pankow",30509,"Weißensee",21,7,336,73,135,2404,87,307,354,97,17,2,466,95,45,1181
+2015,"Pankow",30510,"Weißensee Ost",6,2,135,25,45,713,25,136,84,46,9,3,167,45,33,361
+2015,"Pankow",30611,"Prenzlauer Berg Nordwest",39,20,188,53,47,2277,38,209,413,58,21,10,309,114,68,1133
+2015,"Pankow",30612,"Prenzlauer Berg Nord",24,8,191,40,54,2619,86,207,541,56,9,4,246,79,30,1200
+2015,"Pankow",30613,"Helmholtzplatz",7,4,133,36,40,2114,32,98,323,69,5,3,280,96,20,1209
+2015,"Pankow",30614,"Prenzlauer Berg Ost",31,16,228,48,72,2826,57,429,392,76,17,9,517,250,43,778
+2015,"Pankow",30715,"Prenzlauer Berg Südwest",17,9,285,80,51,2519,59,217,388,116,10,4,396,136,46,1200
+2015,"Pankow",30716,"Prenzlauer Berg Süd",13,8,144,34,52,2374,79,327,351,96,14,10,334,104,16,1246
+2015,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",34,23,80,23,35,636,56,189,160,0,8,4,91,27,60,205
+2015,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",24,11,235,39,116,1193,53,335,68,72,13,4,223,10,160,674
+2015,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",12,7,150,39,39,861,38,249,76,110,7,1,146,39,33,311
+2015,"Charlottenburg-Wilmersdorf",40203,"Westend",23,11,228,52,119,2938,80,345,178,141,21,6,296,27,14,736
+2015,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",27,13,234,59,106,1241,26,143,260,66,11,4,209,17,33,612
+2015,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",20,10,155,46,57,947,28,211,123,47,12,7,142,16,30,380
+2015,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",43,25,397,95,123,2552,28,261,404,95,15,6,383,42,75,1081
+2015,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",33,21,227,51,67,1824,58,274,335,122,4,3,210,33,111,667
+2015,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",67,27,276,69,98,3361,20,201,325,94,5,3,226,15,119,772
+2015,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",107,51,911,252,168,5657,51,353,275,116,12,7,360,79,117,1602
+2015,"Charlottenburg-Wilmersdorf",40310,"Halensee",17,10,124,29,53,1368,35,199,144,83,3,1,153,34,15,497
+2015,"Charlottenburg-Wilmersdorf",40411,"Grunewald",10,6,123,23,67,976,48,312,79,185,8,4,121,7,11,419
+2015,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",9,6,66,10,25,716,49,193,102,76,2,2,88,7,7,201
+2015,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",5,1,79,5,33,701,24,133,200,38,4,2,104,22,7,310
+2015,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",39,18,210,38,102,2338,62,454,383,139,16,6,334,109,50,826
+2015,"Charlottenburg-Wilmersdorf",40515,"Barstraße",19,11,113,19,45,980,30,199,227,66,2,0,102,17,24,389
+2015,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",41,28,225,35,79,2180,59,359,511,117,5,3,250,61,42,739
+2015,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",0,0,19,5,6,32,1,13,1,0,4,3,9,1,0,30
+2015,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",40,32,33,14,52,757,51,265,133,0,1,2,45,12,37,161
+2015,"Spandau",50101,"Hakenfelde",16,10,192,27,89,830,30,153,71,45,13,7,184,15,15,557
+2015,"Spandau",50102,"Falkenhagener Feld",31,17,405,86,180,1290,39,178,142,93,28,9,332,23,36,1131
+2015,"Spandau",50103,"Spandau Mitte",101,55,624,158,252,2665,64,303,194,87,25,11,526,97,175,1593
+2015,"Spandau",50204,"Brunsbütteler Damm",15,5,159,28,76,826,37,128,67,65,15,5,180,11,10,434
+2015,"Spandau",50205,"Heerstraße Nord",22,14,334,81,128,1066,30,187,56,75,21,12,295,86,23,805
+2015,"Spandau",50206,"Wilhelmstadt",31,15,462,91,162,2260,39,291,187,77,16,6,349,39,146,925
+2015,"Spandau",50307,"Haselhorst",21,7,157,29,67,1007,57,143,73,38,10,5,115,13,20,483
+2015,"Spandau",50308,"Siemensstadt",15,6,130,29,50,993,35,131,78,40,13,5,117,22,14,367
+2015,"Spandau",50409,"Gatow/Kladow",4,1,105,28,39,489,14,139,35,65,11,4,104,10,2,203
+2015,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",13,12,54,20,31,406,24,102,21,1,1,0,48,3,52,133
+2015,"Steglitz-Zehlendorf",60101,"Schloßstr.",25,13,200,40,63,2496,26,212,350,64,6,2,217,55,33,461
+2015,"Steglitz-Zehlendorf",60102,"Albrechtstr.",32,21,231,47,125,1406,95,300,229,133,8,7,361,61,46,788
+2015,"Steglitz-Zehlendorf",60203,"Lankwitz",19,11,264,53,110,960,43,207,109,104,7,0,297,51,78,611
+2015,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",16,7,185,44,80,1184,40,231,205,165,18,7,220,28,36,487
+2015,"Steglitz-Zehlendorf",60305,"Teltower Damm",16,10,150,30,73,1438,50,247,438,132,11,6,252,67,42,413
+2015,"Steglitz-Zehlendorf",60306,"Drakestr.",18,10,200,28,97,1895,91,410,258,199,11,3,252,42,41,554
+2015,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",15,7,136,29,62,1190,46,223,195,137,6,1,310,104,17,343
+2015,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",25,13,193,41,94,2489,89,574,453,345,15,6,445,153,37,722
+2015,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",14,6,37,3,36,379,15,77,115,2,4,2,42,8,26,99
+2015,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",160,101,816,224,231,5114,67,507,637,227,26,11,636,128,263,2059
+2015,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",58,27,530,126,157,3462,55,410,755,157,9,5,508,90,180,1349
+2015,"Tempelhof-Schöneberg",70303,"Friedenau",36,22,230,32,114,2592,75,367,545,99,9,5,337,107,43,687
+2015,"Tempelhof-Schöneberg",70404,"Tempelhof",53,23,671,145,280,3870,128,706,412,126,56,11,811,147,213,1633
+2015,"Tempelhof-Schöneberg",70505,"Mariendorf",39,22,295,71,100,2121,84,428,173,118,22,11,374,40,69,770
+2015,"Tempelhof-Schöneberg",70606,"Marienfelde",17,9,220,45,94,1126,29,186,117,90,18,5,245,22,42,534
+2015,"Tempelhof-Schöneberg",70707,"Lichtenrade",30,18,285,45,156,1227,120,223,145,227,28,9,336,38,60,697
+2015,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",32,25,72,21,54,865,19,140,133,0,1,1,83,20,30,204
+2015,"Neukölln",80101,"Schillerpromenade",91,52,450,134,142,2232,30,349,252,101,25,10,499,121,806,1136
+2015,"Neukölln",80102,"Neuköllner Mitte/Zentrum",91,41,767,242,218,4733,56,413,341,157,30,11,653,96,205,1743
+2015,"Neukölln",80103,"Reuterstraße",107,51,468,132,150,3350,32,270,540,159,28,13,508,124,194,1303
+2015,"Neukölln",80104,"Rixdorf",77,45,480,140,182,2558,51,344,453,199,27,13,518,79,183,1477
+2015,"Neukölln",80105,"Köllnische Heide",32,17,244,57,97,1214,49,317,58,42,19,10,410,51,55,630
+2015,"Neukölln",80206,"Britz",54,27,429,107,176,2333,71,544,232,138,28,16,391,58,116,1051
+2015,"Neukölln",80207,"Buckow",11,5,173,36,85,746,55,215,62,108,15,10,172,25,15,441
+2015,"Neukölln",80308,"Gropiusstadt",45,33,369,91,136,1980,59,213,187,59,40,9,600,44,32,1102
+2015,"Neukölln",80409,"Buckow Nord",11,5,94,15,32,431,15,78,36,37,6,5,49,1,11,196
+2015,"Neukölln",80410,"Rudow",28,20,219,44,112,1331,99,351,165,182,29,11,312,42,36,604
+2015,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",35,30,69,20,37,782,24,132,57,0,6,0,49,6,30,171
+2015,"Treptow-Köpenick",90101,"Alt-Treptow",54,36,143,48,51,1214,30,87,286,39,5,4,178,53,146,450
+2015,"Treptow-Köpenick",90102,"Plänterwald",6,3,60,6,40,669,52,135,60,24,5,1,123,26,7,280
+2015,"Treptow-Köpenick",90103,"Baumschulenweg",14,5,119,20,46,868,42,155,110,74,7,2,149,29,25,343
+2015,"Treptow-Köpenick",90104,"Johannisthal",11,4,96,18,43,596,29,99,73,61,11,7,102,15,19,252
+2015,"Treptow-Köpenick",90205,"Oberschöneweide",16,6,273,81,91,981,46,168,113,39,17,4,270,46,49,606
+2015,"Treptow-Köpenick",90206,"Niederschöneweide",10,5,117,23,40,935,17,66,126,20,12,6,201,103,40,257
+2015,"Treptow-Köpenick",90207,"Adlershof",22,8,124,24,47,1090,28,128,172,24,12,6,170,36,25,288
+2015,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",3,2,100,23,31,317,17,36,74,10,4,3,99,23,20,233
+2015,"Treptow-Köpenick",90309,"Altglienicke",7,4,111,28,53,684,55,128,88,102,7,2,118,10,17,326
+2015,"Treptow-Köpenick",90310,"Bohnsdorf",9,2,39,12,31,431,16,89,38,89,4,1,70,4,20,115
+2015,"Treptow-Köpenick",90311,"Grünau",2,2,25,10,16,280,10,46,72,22,3,2,57,5,2,114
+2015,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",0,0,21,5,6,128,4,25,9,38,2,2,30,2,1,46
+2015,"Treptow-Köpenick",90413,"Köpenick-Süd",2,2,93,19,37,379,28,89,77,14,20,5,106,2,14,213
+2015,"Treptow-Köpenick",90414,"Allende-Viertel",3,1,49,7,13,237,13,19,46,4,0,0,33,2,6,87
+2015,"Treptow-Köpenick",90415,"Altstadt-Kietz",0,0,99,21,33,233,5,37,57,5,10,7,84,7,13,190
+2015,"Treptow-Köpenick",90416,"Müggelheim",0,0,30,4,17,101,1,28,7,13,2,2,32,1,2,64
+2015,"Treptow-Köpenick",90517,"Friedrichshagen",7,2,55,12,29,689,26,109,253,22,7,4,132,30,4,192
+2015,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",1,0,43,12,16,311,7,66,93,52,9,4,70,12,5,80
+2015,"Treptow-Köpenick",90519,"Dammvorstadt",16,9,185,48,40,773,6,51,127,15,5,3,156,29,80,388
+2015,"Treptow-Köpenick",90520,"Köpenick-Nord",3,0,43,8,29,347,13,60,97,41,4,1,108,14,2,172
+2015,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",11,7,35,5,21,443,15,139,101,1,9,4,72,13,20,102
+2015,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",26,16,335,56,107,569,40,113,79,21,24,8,231,33,39,623
+2015,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",51,27,668,131,178,1851,135,448,127,62,39,9,491,51,69,1249
+2015,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",39,18,345,66,91,1739,127,384,87,111,25,6,379,62,44,734
+2015,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",33,16,607,106,200,1589,73,262,122,47,28,4,538,108,81,1254
+2015,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",14,8,243,44,83,583,32,129,79,14,12,3,270,53,45,515
+2015,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",23,15,246,36,79,625,41,124,70,32,32,3,206,51,33,506
+2015,"Marzahn-Hellersdorf",100307,"Biesdorf",11,6,137,28,60,1288,46,221,180,169,10,2,202,49,25,308
+2015,"Marzahn-Hellersdorf",100408,"Kaulsdorf",3,1,96,19,22,534,28,95,98,102,3,3,105,18,16,168
+2015,"Marzahn-Hellersdorf",100409,"Mahlsdorf",4,2,77,13,32,639,44,111,129,125,8,4,122,20,9,182
+2015,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",18,12,87,35,23,207,18,54,24,1,5,2,111,20,6,181
+2015,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",4,2,29,4,9,145,3,17,17,11,2,1,27,3,3,55
+2015,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",13,8,310,54,67,710,81,133,88,17,20,7,208,28,42,609
+2015,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",18,5,282,61,64,916,64,114,90,38,15,4,175,15,35,558
+2015,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",16,6,138,37,37,924,16,104,67,107,5,2,143,7,16,332
+2015,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",19,7,234,43,58,1493,123,324,191,102,11,4,235,39,20,679
+2015,"Lichtenberg",110306,"Fennpfuhl",24,14,179,35,65,1414,103,326,223,90,12,5,323,78,36,578
+2015,"Lichtenberg",110307,"Alt-Lichtenberg",39,21,365,97,106,2157,72,326,267,96,25,13,383,114,38,846
+2015,"Lichtenberg",110308,"Frankfurter Allee Süd",17,7,89,16,17,690,26,114,123,28,11,5,106,19,73,240
+2015,"Lichtenberg",110409,"Neu Lichtenberg",25,16,263,51,63,1669,62,201,303,63,14,6,371,106,50,683
+2015,"Lichtenberg",110410,"Friedrichsfelde Nord",8,3,132,29,26,561,51,107,43,52,7,1,114,26,13,284
+2015,"Lichtenberg",110411,"Friedrichsfelde Süd",8,6,134,28,51,722,43,105,109,50,10,4,210,51,12,341
+2015,"Lichtenberg",110512,"Rummelsburger Bucht",3,3,37,15,8,212,10,26,37,16,1,0,42,8,13,89
+2015,"Lichtenberg",110513,"Karlshorst",6,2,110,21,44,856,49,144,226,60,15,6,148,25,22,278
+2015,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",12,10,32,11,30,316,32,92,70,0,0,0,48,19,14,97
+2015,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",39,17,428,99,148,1150,39,201,124,74,17,7,276,28,89,923
+2015,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",42,24,304,68,119,1575,42,346,160,68,20,6,311,61,132,805
+2015,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",9,3,195,41,103,793,26,156,33,47,8,3,120,13,206,426
+2015,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",32,15,376,89,136,1667,37,224,120,58,9,4,300,48,64,966
+2015,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",17,9,183,51,44,1057,3,56,117,27,5,2,158,47,56,419
+2015,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",5,1,88,18,40,545,25,151,80,112,5,2,163,36,23,195
+2015,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",27,14,115,21,55,1016,36,325,183,191,5,3,190,27,30,306
+2015,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",42,25,342,73,137,1579,42,284,153,122,18,8,258,61,75,702
+2015,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",65,33,508,134,202,2052,72,365,122,42,35,9,308,19,96,1448
+2015,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",22,7,112,21,55,415,15,81,25,29,3,3,256,191,16,225
+2015,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",12,4,127,28,58,592,14,119,46,52,2,1,121,11,24,313
+2015,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",13,11,113,10,55,1394,21,144,69,1,4,2,72,8,58,231
+2016,"Mitte",10111,"Tiergarten Süd",65,54,462,108,125,2519,15,286,231,64,12,2,239,31,139,883
+2016,"Mitte",10112,"Regierungsviertel",94,66,483,86,124,5797,15,242,310,54,10,3,350,111,70,904
+2016,"Mitte",10113,"Alexanderplatz",165,102,1338,368,313,12479,80,779,1266,222,47,20,1065,328,534,2825
+2016,"Mitte",10114,"Brunnenstraße Süd",34,23,251,52,79,2631,65,239,541,91,19,7,399,171,67,831
+2016,"Mitte",10221,"Moabit West",103,57,717,222,189,3146,51,511,468,138,45,18,576,71,642,1617
+2016,"Mitte",10222,"Moabit Ost",79,42,770,185,217,3372,38,484,514,147,44,12,480,69,444,1668
+2016,"Mitte",10331,"Osloer Straße",85,49,754,184,216,3922,46,463,337,187,34,12,481,74,249,1547
+2016,"Mitte",10332,"Brunnenstraße Nord",81,42,601,179,184,3139,72,445,346,141,35,8,532,131,236,1299
+2016,"Mitte",10441,"Parkviertel",64,32,686,172,222,3774,63,557,367,120,20,11,597,105,205,1711
+2016,"Mitte",10442,"Wedding Zentrum",115,67,1033,285,295,4270,57,627,442,190,35,14,690,145,651,2121
+2016,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",91,77,310,95,83,3736,31,340,216,0,8,5,167,32,113,609
+2016,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",192,114,689,230,199,4851,67,776,587,136,44,11,671,114,749,1646
+2016,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",114,60,792,231,237,6237,130,708,1155,204,55,31,901,187,284,1947
+2016,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",125,78,559,234,104,3295,24,274,359,63,25,7,528,162,608,1024
+2016,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",137,90,435,158,90,2537,30,248,360,61,29,9,532,190,1078,935
+2016,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",31,15,223,51,58,1568,67,213,265,78,17,10,298,71,28,821
+2016,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",108,72,524,161,95,3281,47,236,411,61,15,4,454,123,421,1333
+2016,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",30,12,308,84,97,2150,34,195,508,63,54,15,618,128,143,1054
+2016,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",129,69,899,249,158,4589,56,309,810,108,50,23,1164,416,956,2271
+2016,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",81,64,130,55,46,1476,20,197,191,1,5,4,128,24,164,337
+2016,"Pankow",30101,"Buch",11,5,179,42,77,948,26,144,107,51,28,13,191,19,26,397
+2016,"Pankow",30202,"Blankenfelde/Niederschönhausen",7,0,151,27,61,784,25,139,132,91,15,9,174,35,27,373
+2016,"Pankow",30203,"Buchholz",1,0,43,5,41,460,28,96,38,53,3,1,100,32,9,141
+2016,"Pankow",30304,"Karow",5,2,71,12,23,379,9,74,88,72,14,5,82,15,12,140
+2016,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",4,3,64,17,35,813,19,111,101,76,14,5,94,12,6,160
+2016,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",8,3,72,14,25,519,16,110,75,64,7,5,94,20,8,186
+2016,"Pankow",30406,"Pankow Zentrum",23,14,240,43,96,2104,49,210,522,106,15,7,309,111,36,715
+2016,"Pankow",30408,"Pankow Süd",20,12,176,32,68,1384,42,239,386,60,15,5,323,78,39,672
+2016,"Pankow",30509,"Weißensee",32,22,330,72,123,1954,63,184,313,72,32,13,428,112,57,947
+2016,"Pankow",30510,"Weißensee Ost",9,1,119,18,46,667,31,122,76,37,15,7,181,50,33,358
+2016,"Pankow",30611,"Prenzlauer Berg Nordwest",33,19,229,59,82,2404,65,204,488,87,11,3,333,107,83,1138
+2016,"Pankow",30612,"Prenzlauer Berg Nord",26,10,158,37,63,2142,55,204,557,71,16,8,332,86,35,763
+2016,"Pankow",30613,"Helmholtzplatz",21,7,155,31,57,1546,28,96,352,71,10,3,262,86,45,723
+2016,"Pankow",30614,"Prenzlauer Berg Ost",37,21,293,71,78,2608,65,359,447,110,22,4,562,259,61,732
+2016,"Pankow",30715,"Prenzlauer Berg Südwest",25,9,327,93,89,2569,66,233,535,114,15,5,372,158,28,993
+2016,"Pankow",30716,"Prenzlauer Berg Süd",19,8,157,33,44,1730,85,271,442,97,13,4,372,117,39,739
+2016,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",35,27,70,22,27,813,48,187,176,0,8,2,87,13,51,194
+2016,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",37,17,312,71,134,1352,61,382,66,51,20,12,274,26,197,772
+2016,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",9,5,146,39,32,616,26,125,68,79,6,3,136,42,23,285
+2016,"Charlottenburg-Wilmersdorf",40203,"Westend",26,11,318,64,128,2938,77,393,172,69,13,6,268,35,36,755
+2016,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",17,6,229,32,81,1294,44,190,228,59,14,9,196,17,46,556
+2016,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",26,11,136,25,77,866,23,153,84,28,8,4,194,49,38,366
+2016,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",48,29,430,91,131,2747,37,367,409,90,25,10,426,103,58,957
+2016,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",42,23,231,62,91,1586,69,301,278,61,10,6,191,21,56,625
+2016,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",46,25,312,67,84,3036,24,178,353,88,7,4,234,27,147,710
+2016,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",110,61,687,177,163,4770,38,317,275,72,11,5,368,68,99,1261
+2016,"Charlottenburg-Wilmersdorf",40310,"Halensee",15,7,112,28,60,1122,34,217,112,52,3,1,105,9,21,385
+2016,"Charlottenburg-Wilmersdorf",40411,"Grunewald",9,7,95,13,57,882,55,248,94,159,8,3,128,20,18,351
+2016,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",7,2,84,15,34,657,32,193,63,62,7,1,78,6,8,209
+2016,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",9,7,78,14,30,727,36,143,225,38,6,2,109,26,10,225
+2016,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",36,22,225,43,106,2084,66,413,315,101,9,5,338,147,59,710
+2016,"Charlottenburg-Wilmersdorf",40515,"Barstraße",9,5,136,28,47,805,26,142,195,29,8,1,97,16,27,295
+2016,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",43,24,263,60,88,2153,54,313,418,57,10,4,229,43,71,666
+2016,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",0,0,13,4,4,80,0,14,3,0,4,4,10,2,2,19
+2016,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",34,30,112,32,71,1178,53,256,88,0,6,3,116,11,32,294
+2016,"Spandau",50101,"Hakenfelde",14,8,204,46,64,953,28,187,84,55,20,10,173,11,21,456
+2016,"Spandau",50102,"Falkenhagener Feld",28,12,432,86,173,1284,42,233,147,106,29,10,322,36,38,977
+2016,"Spandau",50103,"Spandau Mitte",78,53,697,179,236,2606,39,279,271,75,16,5,451,57,179,1374
+2016,"Spandau",50204,"Brunsbütteler Damm",13,6,158,33,52,807,34,135,60,81,14,4,201,25,20,390
+2016,"Spandau",50205,"Heerstraße Nord",26,13,417,93,137,1103,20,155,64,115,32,14,351,96,40,908
+2016,"Spandau",50206,"Wilhelmstadt",50,22,548,131,188,2642,41,295,240,130,18,6,410,33,67,1206
+2016,"Spandau",50307,"Haselhorst",21,9,174,34,63,900,37,154,68,29,18,8,123,16,30,377
+2016,"Spandau",50308,"Siemensstadt",11,8,128,27,56,824,22,115,66,19,7,3,162,22,21,341
+2016,"Spandau",50409,"Gatow/Kladow",4,4,98,21,47,472,28,65,49,94,8,3,80,3,8,198
+2016,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",20,20,53,20,36,391,16,103,22,1,4,4,51,5,22,143
+2016,"Steglitz-Zehlendorf",60101,"Schloßstr.",36,20,188,44,60,2621,37,207,384,66,8,5,197,35,26,492
+2016,"Steglitz-Zehlendorf",60102,"Albrechtstr.",23,9,264,43,129,1618,103,362,266,127,31,21,344,45,62,771
+2016,"Steglitz-Zehlendorf",60203,"Lankwitz",23,12,250,54,110,1249,88,228,111,95,29,9,337,39,79,607
+2016,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",11,5,246,47,79,1179,67,242,240,105,14,8,303,41,36,566
+2016,"Steglitz-Zehlendorf",60305,"Teltower Damm",13,10,192,29,83,1414,48,196,489,150,9,2,303,46,35,481
+2016,"Steglitz-Zehlendorf",60306,"Drakestr.",14,8,239,49,97,1944,92,413,304,204,8,3,286,56,41,584
+2016,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",11,3,147,30,78,1030,43,228,158,115,15,6,198,28,28,367
+2016,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",20,14,182,45,84,2408,107,647,463,298,15,4,504,201,42,546
+2016,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",11,7,34,6,27,509,16,87,128,2,13,8,69,7,12,114
+2016,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",158,101,771,198,236,4929,71,460,649,157,29,12,685,97,293,1964
+2016,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",43,28,535,105,166,3348,79,360,769,127,27,14,484,84,178,1300
+2016,"Tempelhof-Schöneberg",70303,"Friedenau",37,25,234,43,106,2899,83,437,511,79,24,14,405,109,50,760
+2016,"Tempelhof-Schöneberg",70404,"Tempelhof",68,32,716,156,265,4156,197,761,456,116,48,9,740,178,236,1674
+2016,"Tempelhof-Schöneberg",70505,"Mariendorf",33,17,361,74,147,1922,109,411,166,212,39,21,470,80,90,933
+2016,"Tempelhof-Schöneberg",70606,"Marienfelde",20,11,257,44,75,1073,55,179,159,49,22,6,217,16,54,504
+2016,"Tempelhof-Schöneberg",70707,"Lichtenrade",22,11,345,61,100,1433,114,340,175,246,24,9,317,35,103,700
+2016,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",34,30,67,15,50,826,37,124,147,0,13,5,96,19,37,205
+2016,"Neukölln",80101,"Schillerpromenade",67,38,563,189,151,2423,29,264,262,102,29,15,451,105,333,1424
+2016,"Neukölln",80102,"Neuköllner Mitte/Zentrum",114,56,755,241,198,4823,56,387,377,124,33,14,637,88,174,1796
+2016,"Neukölln",80103,"Reuterstraße",76,43,500,160,164,3379,29,261,486,109,22,12,527,190,154,1346
+2016,"Neukölln",80104,"Rixdorf",68,38,483,150,157,2506,56,338,408,132,33,19,495,70,141,1443
+2016,"Neukölln",80105,"Köllnische Heide",17,8,239,59,101,1368,54,277,48,72,17,9,299,22,70,786
+2016,"Neukölln",80206,"Britz",55,31,471,115,191,2431,112,566,166,218,47,24,482,64,71,1285
+2016,"Neukölln",80207,"Buckow",12,9,180,51,76,653,50,193,39,98,13,5,198,20,20,423
+2016,"Neukölln",80308,"Gropiusstadt",47,32,338,96,148,1902,54,236,152,84,18,5,532,48,53,1061
+2016,"Neukölln",80409,"Buckow Nord",5,0,100,20,42,547,26,117,48,36,5,3,71,5,12,234
+2016,"Neukölln",80410,"Rudow",24,14,313,74,120,1461,142,324,143,253,14,6,313,23,37,666
+2016,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",28,21,84,35,63,818,25,155,46,0,8,4,55,6,42,198
+2016,"Treptow-Köpenick",90101,"Alt-Treptow",35,21,149,36,41,1197,22,111,319,38,18,10,180,45,71,378
+2016,"Treptow-Köpenick",90102,"Plänterwald",6,4,72,18,18,660,60,119,108,41,4,2,106,28,9,227
+2016,"Treptow-Köpenick",90103,"Baumschulenweg",13,7,120,35,57,903,54,139,172,83,7,5,142,38,13,359
+2016,"Treptow-Köpenick",90104,"Johannisthal",7,4,108,20,46,757,43,127,163,81,3,2,112,12,14,309
+2016,"Treptow-Köpenick",90205,"Oberschöneweide",11,8,268,71,76,1107,66,146,233,41,20,12,288,64,45,617
+2016,"Treptow-Köpenick",90206,"Niederschöneweide",13,8,147,24,39,1010,38,83,174,13,5,2,127,31,32,292
+2016,"Treptow-Köpenick",90207,"Adlershof",11,4,166,32,49,1251,68,125,306,32,11,4,198,46,18,376
+2016,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",4,2,111,16,30,385,30,58,81,15,4,1,109,19,12,247
+2016,"Treptow-Köpenick",90309,"Altglienicke",3,2,160,24,66,821,85,246,79,107,13,9,166,26,16,360
+2016,"Treptow-Köpenick",90310,"Bohnsdorf",3,0,101,25,39,488,28,81,57,52,3,2,66,13,15,187
+2016,"Treptow-Köpenick",90311,"Grünau",1,1,30,10,22,309,8,53,72,22,3,2,45,7,10,119
+2016,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",0,0,19,2,4,115,6,17,7,24,1,1,13,1,1,29
+2016,"Treptow-Köpenick",90413,"Köpenick-Süd",2,1,104,17,22,385,34,81,89,13,16,8,88,15,5,187
+2016,"Treptow-Köpenick",90414,"Allende-Viertel",1,1,29,9,14,215,18,17,24,9,3,2,46,3,4,68
+2016,"Treptow-Köpenick",90415,"Altstadt-Kietz",2,2,117,25,38,246,9,26,79,8,1,1,105,22,14,239
+2016,"Treptow-Köpenick",90416,"Müggelheim",0,0,16,3,16,98,12,20,14,8,5,4,47,11,1,57
+2016,"Treptow-Köpenick",90517,"Friedrichshagen",6,3,117,20,38,647,31,67,254,17,6,3,161,39,19,236
+2016,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",5,1,38,6,15,327,11,53,142,32,8,2,57,8,3,81
+2016,"Treptow-Köpenick",90519,"Dammvorstadt",8,5,128,33,36,724,11,32,161,14,7,2,162,54,41,307
+2016,"Treptow-Köpenick",90520,"Köpenick-Nord",5,2,54,6,17,327,15,47,114,43,13,2,82,13,5,135
+2016,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",10,9,85,19,35,552,27,124,124,0,10,5,88,18,23,169
+2016,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",26,18,361,60,97,668,62,128,82,22,18,7,266,70,34,660
+2016,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",51,27,735,134,176,2113,147,417,160,30,56,12,577,85,78,1483
+2016,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",46,22,355,66,128,1954,167,446,116,109,36,14,427,69,44,872
+2016,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",21,11,656,113,180,1606,66,262,115,42,34,9,634,175,61,1209
+2016,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",26,18,290,58,96,643,39,116,103,18,33,9,296,68,49,607
+2016,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",22,14,233,37,79,789,58,113,79,36,8,5,288,88,34,562
+2016,"Marzahn-Hellersdorf",100307,"Biesdorf",10,7,150,30,42,1208,38,172,183,167,9,3,169,31,31,325
+2016,"Marzahn-Hellersdorf",100408,"Kaulsdorf",7,2,99,14,38,520,24,80,98,93,6,2,102,8,3,194
+2016,"Marzahn-Hellersdorf",100409,"Mahlsdorf",7,5,78,9,42,634,33,104,127,120,2,1,97,16,10,172
+2016,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",19,16,48,17,20,229,15,54,25,1,8,2,60,20,13,104
+2016,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",0,0,38,13,16,175,5,15,13,17,2,2,31,10,2,68
+2016,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",26,16,271,43,72,678,64,141,89,27,17,5,201,31,55,574
+2016,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",19,11,327,63,79,965,60,152,88,19,18,4,233,27,42,646
+2016,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",7,2,171,29,50,912,31,121,61,67,7,3,131,12,26,347
+2016,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",26,21,203,40,59,1481,119,445,168,86,14,4,265,46,26,558
+2016,"Lichtenberg",110306,"Fennpfuhl",26,17,269,51,103,1591,140,450,245,95,28,5,359,69,22,691
+2016,"Lichtenberg",110307,"Alt-Lichtenberg",48,25,494,117,128,2763,92,355,326,95,28,15,399,96,56,1039
+2016,"Lichtenberg",110308,"Frankfurter Allee Süd",15,9,97,29,36,768,56,138,162,15,10,10,106,21,83,227
+2016,"Lichtenberg",110409,"Neu Lichtenberg",27,13,274,53,92,1693,49,179,403,65,14,7,400,124,47,740
+2016,"Lichtenberg",110410,"Friedrichsfelde Nord",7,5,137,21,42,571,41,132,82,21,6,1,149,28,24,280
+2016,"Lichtenberg",110411,"Friedrichsfelde Süd",13,9,185,41,68,867,68,179,114,51,13,6,191,47,14,437
+2016,"Lichtenberg",110512,"Rummelsburger Bucht",1,1,27,7,8,294,9,34,83,20,8,6,22,8,6,88
+2016,"Lichtenberg",110513,"Karlshorst",10,7,120,27,56,963,41,152,297,81,7,5,151,27,23,350
+2016,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",12,11,51,13,20,405,32,106,62,1,5,2,77,10,3,136
+2016,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",40,17,391,100,158,1348,42,278,149,95,31,17,330,30,96,1062
+2016,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",45,25,295,65,140,1568,44,293,147,88,15,6,303,58,160,804
+2016,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",9,2,257,65,92,1006,29,224,63,38,7,3,163,14,232,521
+2016,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",30,15,320,85,136,1610,36,262,93,51,19,9,306,75,79,784
+2016,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",25,14,207,45,61,1090,9,56,109,31,3,1,183,31,29,471
+2016,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",7,3,87,16,48,436,37,55,65,79,7,3,131,28,36,211
+2016,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",17,8,108,28,44,1028,37,176,252,276,15,4,199,35,56,282
+2016,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",42,21,370,92,139,1699,47,213,144,152,22,7,304,75,93,813
+2016,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",59,37,485,133,185,1771,56,342,109,69,43,13,389,72,105,1181
+2016,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",13,7,83,24,52,421,14,69,17,35,7,1,245,151,31,231
+2016,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",10,3,132,21,69,671,36,98,72,44,7,1,129,14,33,340
+2016,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",14,10,116,29,49,1193,17,208,77,1,1,0,65,11,21,230
+2017,"Mitte",10111,"Tiergarten Süd",62,39,521,145,127,2603,30,325,347,50,9,2,260,42,179,1143
+2017,"Mitte",10112,"Regierungsviertel",40,17,456,87,159,4592,16,222,309,75,5,0,362,112,87,931
+2017,"Mitte",10113,"Alexanderplatz",143,90,1763,478,317,10596,87,705,929,148,45,16,1162,351,804,3227
+2017,"Mitte",10114,"Brunnenstraße Süd",38,18,256,62,64,2277,35,290,462,77,17,11,449,195,81,886
+2017,"Mitte",10221,"Moabit West",66,40,690,177,215,2602,35,400,428,102,25,10,546,81,792,1436
+2017,"Mitte",10222,"Moabit Ost",50,33,698,161,218,4458,28,391,446,82,29,10,478,76,462,1368
+2017,"Mitte",10331,"Osloer Straße",55,36,736,174,252,2740,41,371,244,86,36,15,441,71,227,1391
+2017,"Mitte",10332,"Brunnenstraße Nord",58,29,659,178,234,3069,76,417,346,94,34,13,542,204,197,1337
+2017,"Mitte",10441,"Parkviertel",83,45,755,159,259,2863,52,484,287,129,26,12,506,130,200,1566
+2017,"Mitte",10442,"Wedding Zentrum",99,59,1038,276,291,3550,45,491,405,117,53,23,703,194,655,1992
+2017,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",69,59,284,105,85,2565,40,344,175,0,8,1,176,32,155,623
+2017,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",115,61,692,233,223,3953,49,611,454,82,42,18,640,121,1003,1524
+2017,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",96,50,773,241,243,5745,114,751,1288,110,13,7,754,145,247,1808
+2017,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",78,54,511,183,114,2632,22,232,294,42,22,2,403,121,683,963
+2017,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",96,64,393,162,84,2095,31,225,412,60,24,9,458,179,781,897
+2017,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",21,14,171,47,60,1304,42,240,262,78,10,8,276,91,25,512
+2017,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",65,45,639,220,108,2802,50,239,295,54,10,6,472,143,595,1117
+2017,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",26,12,320,101,76,1894,29,184,377,56,28,11,516,137,126,860
+2017,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",74,47,902,353,186,3733,55,332,597,129,29,6,1017,371,949,2026
+2017,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",37,27,135,49,45,1050,21,167,140,0,1,1,93,16,132,281
+2017,"Pankow",30101,"Buch",16,7,208,52,62,655,19,84,117,24,19,6,211,46,36,423
+2017,"Pankow",30202,"Blankenfelde/Niederschönhausen",5,1,108,25,41,711,20,174,109,49,6,3,157,47,10,282
+2017,"Pankow",30203,"Buchholz",5,2,49,7,28,372,21,75,44,20,4,0,89,16,9,146
+2017,"Pankow",30304,"Karow",4,3,87,18,33,406,13,54,96,73,3,0,75,13,19,173
+2017,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",7,2,118,32,33,655,20,72,110,53,14,8,98,27,11,200
+2017,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",12,7,55,12,27,480,13,120,58,63,2,1,93,15,5,172
+2017,"Pankow",30406,"Pankow Zentrum",35,23,247,61,98,1807,48,204,496,75,21,9,382,123,39,736
+2017,"Pankow",30408,"Pankow Süd",15,5,208,62,82,1273,70,238,342,45,8,0,293,104,28,552
+2017,"Pankow",30509,"Weißensee",30,16,376,96,117,1447,51,200,260,60,17,7,391,97,52,801
+2017,"Pankow",30510,"Weißensee Ost",12,7,149,22,50,593,19,115,106,18,14,5,157,34,37,335
+2017,"Pankow",30611,"Prenzlauer Berg Nordwest",29,11,254,92,65,1873,34,169,417,41,11,7,301,127,118,787
+2017,"Pankow",30612,"Prenzlauer Berg Nord",26,13,161,44,53,1772,57,163,426,58,7,0,279,78,46,690
+2017,"Pankow",30613,"Helmholtzplatz",15,7,188,54,47,1566,10,94,301,42,4,1,309,130,48,910
+2017,"Pankow",30614,"Prenzlauer Berg Ost",33,21,294,69,94,2063,69,357,302,76,31,14,473,224,53,664
+2017,"Pankow",30715,"Prenzlauer Berg Südwest",21,5,352,103,67,1997,39,318,356,80,13,3,368,133,50,791
+2017,"Pankow",30716,"Prenzlauer Berg Süd",17,9,167,39,65,1461,47,284,352,55,18,8,359,167,33,582
+2017,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",21,15,82,16,51,626,32,157,132,0,3,2,91,20,38,222
+2017,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",23,9,331,82,116,1083,80,372,105,40,9,2,261,17,198,756
+2017,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",16,9,127,36,23,626,37,161,72,67,10,5,169,50,41,279
+2017,"Charlottenburg-Wilmersdorf",40203,"Westend",27,19,325,78,123,2465,105,354,174,70,15,8,272,38,36,732
+2017,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",17,8,241,42,93,1179,34,166,236,69,6,3,261,91,37,582
+2017,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",12,8,169,33,68,960,30,191,141,38,2,1,180,32,41,460
+2017,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",30,13,436,105,132,2361,49,283,417,84,25,8,390,94,78,1054
+2017,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",28,12,223,44,81,1885,67,266,260,64,11,6,237,66,69,636
+2017,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",35,17,291,74,84,2591,29,158,286,72,14,4,233,31,58,757
+2017,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",73,32,718,203,156,4225,53,316,185,55,11,5,384,109,131,1252
+2017,"Charlottenburg-Wilmersdorf",40310,"Halensee",13,7,92,22,46,1017,38,185,124,42,4,3,126,32,11,341
+2017,"Charlottenburg-Wilmersdorf",40411,"Grunewald",10,6,109,17,52,788,53,250,79,98,5,1,198,94,18,327
+2017,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",3,1,55,18,25,540,39,131,64,38,4,2,76,10,9,162
+2017,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",7,4,72,7,21,514,20,109,160,39,2,1,112,41,14,196
+2017,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",42,16,235,46,94,1993,99,332,296,96,13,7,338,144,53,726
+2017,"Charlottenburg-Wilmersdorf",40515,"Barstraße",6,3,157,29,69,754,26,143,178,33,5,3,138,34,28,375
+2017,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",31,13,245,55,71,1996,62,289,469,56,17,4,308,88,77,626
+2017,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",1,1,10,2,4,33,0,13,0,1,2,2,4,0,0,16
+2017,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",27,20,131,28,61,940,54,254,106,0,2,0,119,7,43,318
+2017,"Spandau",50101,"Hakenfelde",15,10,190,47,75,782,18,139,102,38,8,5,130,19,35,401
+2017,"Spandau",50102,"Falkenhagener Feld",34,17,424,87,121,1055,37,253,147,83,31,8,280,12,39,865
+2017,"Spandau",50103,"Spandau Mitte",79,46,665,159,224,2378,34,273,298,66,40,20,452,55,189,1308
+2017,"Spandau",50204,"Brunsbütteler Damm",12,4,173,33,63,826,37,149,94,52,10,4,201,31,19,388
+2017,"Spandau",50205,"Heerstraße Nord",26,10,412,108,135,1046,38,152,66,106,15,7,303,91,35,818
+2017,"Spandau",50206,"Wilhelmstadt",42,21,644,176,179,2950,33,233,279,89,17,8,484,72,79,1196
+2017,"Spandau",50307,"Haselhorst",18,8,171,48,58,725,30,142,65,55,5,3,119,25,32,366
+2017,"Spandau",50308,"Siemensstadt",10,9,143,32,42,763,33,149,110,36,10,5,155,44,22,343
+2017,"Spandau",50409,"Gatow/Kladow",10,5,84,26,35,420,24,48,68,77,10,5,97,8,5,170
+2017,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",10,8,54,15,48,358,22,98,43,1,2,2,60,7,21,144
+2017,"Steglitz-Zehlendorf",60101,"Schloßstr.",25,16,181,29,71,2405,35,152,348,36,15,2,209,44,45,434
+2017,"Steglitz-Zehlendorf",60102,"Albrechtstr.",22,8,287,57,110,1309,86,295,276,83,38,15,334,74,66,679
+2017,"Steglitz-Zehlendorf",60203,"Lankwitz",15,7,274,46,121,1014,49,185,122,67,14,4,329,34,70,643
+2017,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",16,7,204,51,97,1018,50,179,185,104,13,6,288,69,42,484
+2017,"Steglitz-Zehlendorf",60305,"Teltower Damm",12,7,173,30,100,1066,40,165,371,92,15,5,258,56,37,447
+2017,"Steglitz-Zehlendorf",60306,"Drakestr.",11,1,156,42,83,1431,78,291,235,107,30,12,298,38,32,502
+2017,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",15,7,138,36,85,1009,35,172,173,83,17,7,316,150,13,370
+2017,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",26,13,208,34,94,1785,94,363,395,196,26,5,484,193,46,553
+2017,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",4,3,53,10,35,404,9,90,92,0,19,15,66,9,22,127
+2017,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",131,78,757,202,211,5144,71,376,723,159,34,19,569,82,390,2075
+2017,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",54,30,563,140,181,3309,67,399,626,82,22,10,550,130,185,1199
+2017,"Tempelhof-Schöneberg",70303,"Friedenau",26,13,269,57,98,2386,74,281,493,88,19,12,407,99,55,715
+2017,"Tempelhof-Schöneberg",70404,"Tempelhof",57,24,668,125,269,3766,107,876,435,106,60,15,696,186,241,1442
+2017,"Tempelhof-Schöneberg",70505,"Mariendorf",40,17,382,84,151,1637,81,460,166,108,29,9,369,48,82,871
+2017,"Tempelhof-Schöneberg",70606,"Marienfelde",17,4,245,45,96,973,49,225,109,49,18,8,263,36,49,553
+2017,"Tempelhof-Schöneberg",70707,"Lichtenrade",18,8,265,51,98,1133,82,248,106,127,26,9,288,50,60,557
+2017,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",12,10,48,16,35,661,31,147,87,0,8,1,57,5,33,130
+2017,"Neukölln",80101,"Schillerpromenade",68,42,424,138,124,2464,39,361,327,94,39,15,538,162,354,1238
+2017,"Neukölln",80102,"Neuköllner Mitte/Zentrum",86,37,779,232,215,4598,79,559,357,108,45,21,667,82,225,1862
+2017,"Neukölln",80103,"Reuterstraße",47,21,582,217,164,3005,44,292,437,78,25,9,532,143,182,1406
+2017,"Neukölln",80104,"Rixdorf",64,32,520,154,155,2323,41,288,375,121,21,6,508,109,284,1452
+2017,"Neukölln",80105,"Köllnische Heide",26,12,190,53,67,1151,44,257,51,38,19,9,218,20,55,548
+2017,"Neukölln",80206,"Britz",71,43,486,139,190,2335,86,560,173,162,36,28,434,65,89,1249
+2017,"Neukölln",80207,"Buckow",6,1,162,34,75,500,39,121,28,77,12,4,169,19,18,399
+2017,"Neukölln",80308,"Gropiusstadt",54,36,362,93,112,1643,63,241,185,70,6,6,302,30,27,928
+2017,"Neukölln",80409,"Buckow Nord",9,3,100,21,53,471,26,105,43,22,5,2,52,6,8,217
+2017,"Neukölln",80410,"Rudow",21,11,264,60,131,1191,110,300,128,197,25,6,276,28,22,600
+2017,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",28,22,81,30,47,739,26,143,63,0,4,2,68,4,47,213
+2017,"Treptow-Köpenick",90101,"Alt-Treptow",44,25,184,51,48,1310,20,120,274,37,7,3,225,103,123,542
+2017,"Treptow-Köpenick",90102,"Plänterwald",6,3,80,18,35,501,41,138,105,19,7,5,133,30,17,207
+2017,"Treptow-Köpenick",90103,"Baumschulenweg",11,6,134,22,54,894,50,162,161,27,11,5,182,54,19,336
+2017,"Treptow-Köpenick",90104,"Johannisthal",7,6,127,26,51,654,61,180,88,37,6,1,138,28,26,287
+2017,"Treptow-Köpenick",90205,"Oberschöneweide",13,7,318,66,84,1082,49,251,157,25,13,7,303,55,66,671
+2017,"Treptow-Köpenick",90206,"Niederschöneweide",17,8,192,38,49,1083,55,99,153,14,9,3,251,140,44,351
+2017,"Treptow-Köpenick",90207,"Adlershof",19,11,125,29,43,1142,40,189,209,20,6,3,216,60,23,308
+2017,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",5,4,120,25,31,313,13,92,52,9,2,0,113,23,22,239
+2017,"Treptow-Köpenick",90309,"Altglienicke",8,4,183,35,69,712,107,193,91,69,11,6,152,33,19,359
+2017,"Treptow-Köpenick",90310,"Bohnsdorf",7,2,112,27,32,459,43,65,39,41,2,1,99,21,16,204
+2017,"Treptow-Köpenick",90311,"Grünau",3,2,44,9,19,243,8,48,38,11,1,1,167,124,1,104
+2017,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",1,0,14,5,8,69,4,14,11,5,1,0,29,11,1,30
+2017,"Treptow-Köpenick",90413,"Köpenick-Süd",4,2,71,14,35,278,23,59,37,29,4,0,131,19,26,173
+2017,"Treptow-Köpenick",90414,"Allende-Viertel",2,1,40,7,6,174,20,26,26,4,2,0,50,8,1,81
+2017,"Treptow-Köpenick",90415,"Altstadt-Kietz",5,5,109,12,28,193,9,35,50,4,4,3,106,12,19,210
+2017,"Treptow-Köpenick",90416,"Müggelheim",1,0,32,5,12,70,4,22,7,6,2,2,27,10,3,50
+2017,"Treptow-Köpenick",90517,"Friedrichshagen",4,3,87,19,35,579,42,77,180,8,4,1,172,62,11,218
+2017,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",4,3,58,12,16,275,12,77,79,25,0,0,60,11,2,95
+2017,"Treptow-Köpenick",90519,"Dammvorstadt",15,7,142,38,46,686,10,74,105,18,7,5,159,49,24,291
+2017,"Treptow-Köpenick",90520,"Köpenick-Nord",4,3,50,13,16,253,18,58,67,30,2,0,75,23,7,114
+2017,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",20,11,84,26,33,483,45,121,94,1,4,2,83,14,25,172
+2017,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",22,13,363,66,92,723,69,111,101,22,20,9,255,73,26,678
+2017,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",39,26,696,124,195,2351,174,445,155,53,35,9,519,81,79,1574
+2017,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",20,9,392,73,116,1765,169,435,101,64,18,6,337,49,48,882
+2017,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",39,22,581,111,139,1470,88,186,105,25,30,11,617,199,89,1085
+2017,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",24,11,291,51,69,558,22,74,113,12,14,2,218,65,23,526
+2017,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",10,6,291,51,86,668,66,101,64,17,9,1,283,101,41,555
+2017,"Marzahn-Hellersdorf",100307,"Biesdorf",18,8,181,33,65,1112,38,156,159,133,9,4,237,68,16,409
+2017,"Marzahn-Hellersdorf",100408,"Kaulsdorf",8,4,190,13,35,455,13,72,99,55,3,2,142,28,13,307
+2017,"Marzahn-Hellersdorf",100409,"Mahlsdorf",9,3,101,19,44,543,20,88,101,77,2,0,196,83,10,206
+2017,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",10,9,66,17,30,296,17,64,49,0,0,0,67,21,12,134
+2017,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",1,0,25,4,10,117,0,17,11,23,4,2,23,6,2,44
+2017,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",23,10,247,45,63,722,55,102,119,25,17,3,199,25,64,600
+2017,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",23,15,295,69,63,979,62,160,122,25,11,4,195,42,45,599
+2017,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",12,7,170,29,41,736,32,119,71,53,8,1,141,26,25,326
+2017,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",12,9,201,32,68,1118,103,303,129,65,19,4,263,61,42,500
+2017,"Lichtenberg",110306,"Fennpfuhl",34,27,231,46,87,1288,83,359,149,72,20,5,339,79,29,586
+2017,"Lichtenberg",110307,"Alt-Lichtenberg",24,11,513,119,136,2342,85,384,222,66,26,13,428,126,67,932
+2017,"Lichtenberg",110308,"Frankfurter Allee Süd",20,14,158,50,44,857,34,85,97,15,8,3,171,65,59,303
+2017,"Lichtenberg",110409,"Neu Lichtenberg",19,13,307,68,98,1524,47,210,275,50,20,7,371,116,75,728
+2017,"Lichtenberg",110410,"Friedrichsfelde Nord",8,5,128,30,35,550,45,130,49,16,8,3,138,33,30,263
+2017,"Lichtenberg",110411,"Friedrichsfelde Süd",17,10,160,27,56,784,58,150,101,22,21,13,232,56,27,375
+2017,"Lichtenberg",110512,"Rummelsburger Bucht",2,2,32,6,12,251,10,32,64,14,3,1,58,17,10,97
+2017,"Lichtenberg",110513,"Karlshorst",7,5,136,37,54,913,45,120,265,83,13,4,146,23,26,294
+2017,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",16,12,37,15,18,307,32,90,49,0,5,1,68,13,14,112
+2017,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",23,11,341,92,102,1035,29,250,169,63,24,6,293,65,93,662
+2017,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",37,20,315,69,110,1303,37,246,107,75,25,8,321,70,112,705
+2017,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",21,7,226,64,101,995,18,232,49,55,9,5,140,17,269,486
+2017,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",30,10,429,104,173,1268,22,206,77,46,21,10,246,28,104,887
+2017,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",14,5,209,54,54,953,15,78,68,22,7,3,175,31,29,373
+2017,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",1,0,77,18,44,397,20,117,43,61,4,3,98,15,31,172
+2017,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",10,9,136,24,58,918,42,226,202,178,12,3,196,59,34,301
+2017,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",33,16,385,100,138,1257,29,166,99,116,22,6,352,133,97,726
+2017,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",41,24,529,110,199,1412,48,302,88,45,36,18,290,47,84,1060
+2017,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",9,4,85,20,40,333,4,78,17,21,6,2,143,65,15,185
+2017,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",6,3,110,24,38,520,11,101,74,41,8,3,132,20,24,266
+2017,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",11,9,100,24,49,944,30,174,42,1,2,0,73,6,35,206
+2018,"Mitte",10111,"Tiergarten Süd",70,58,416,125,103,2540,17,274,310,39,14,3,284,42,273,1247
+2018,"Mitte",10112,"Regierungsviertel",34,16,519,110,114,3883,15,199,372,35,6,1,407,159,133,857
+2018,"Mitte",10113,"Alexanderplatz",130,80,1531,366,309,10144,68,580,880,133,26,6,1036,333,971,2798
+2018,"Mitte",10114,"Brunnenstraße Süd",26,14,286,60,69,1817,47,153,314,56,9,6,442,218,69,690
+2018,"Mitte",10221,"Moabit West",71,38,653,164,215,2470,37,398,447,83,29,12,496,99,435,1262
+2018,"Mitte",10222,"Moabit Ost",61,38,689,150,210,3620,30,281,361,73,31,8,435,73,473,1421
+2018,"Mitte",10331,"Osloer Straße",77,42,752,205,250,2624,46,288,260,73,29,13,439,92,217,1397
+2018,"Mitte",10332,"Brunnenstraße Nord",68,41,642,170,224,2536,65,343,273,87,28,6,551,187,387,1303
+2018,"Mitte",10441,"Parkviertel",55,26,754,183,243,2690,62,442,363,88,30,9,562,113,125,1511
+2018,"Mitte",10442,"Wedding Zentrum",90,54,958,247,243,3252,52,438,434,108,39,8,710,169,534,1821
+2018,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",51,42,250,74,88,2226,26,258,159,0,4,3,166,25,175,592
+2018,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",99,56,628,179,207,3646,55,588,445,114,36,10,564,102,798,1526
+2018,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",95,54,819,269,239,5959,90,742,1216,139,46,14,785,163,310,2142
+2018,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",71,49,483,183,105,2190,23,218,293,84,24,3,380,106,522,948
+2018,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",104,80,452,183,101,2031,32,190,468,63,16,4,376,114,934,993
+2018,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",17,7,197,45,77,1174,40,184,244,46,5,3,256,51,40,500
+2018,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",82,63,690,227,109,2913,28,249,358,35,18,10,441,110,664,1180
+2018,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",24,13,389,120,97,1792,37,149,394,48,16,5,534,136,92,805
+2018,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",95,64,943,332,176,3622,35,315,714,103,30,10,1017,334,1122,1875
+2018,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",45,40,138,49,34,1057,16,146,121,0,5,1,114,13,143,293
+2018,"Pankow",30101,"Buch",11,2,179,37,72,635,15,66,144,13,12,6,176,47,33,337
+2018,"Pankow",30202,"Blankenfelde/Niederschönhausen",10,6,124,15,46,800,28,134,200,40,8,4,153,20,16,309
+2018,"Pankow",30203,"Buchholz",6,3,70,10,28,329,25,50,58,23,7,2,92,12,9,161
+2018,"Pankow",30304,"Karow",4,2,84,20,29,418,3,102,126,34,1,0,107,18,13,200
+2018,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",7,4,94,21,36,693,20,107,102,59,8,2,131,31,12,185
+2018,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",10,6,77,20,30,450,20,114,50,48,11,3,98,15,14,169
+2018,"Pankow",30406,"Pankow Zentrum",27,19,207,46,93,1854,47,175,580,63,15,3,296,95,43,660
+2018,"Pankow",30408,"Pankow Süd",35,23,219,52,94,1070,53,134,387,63,15,6,260,74,40,569
+2018,"Pankow",30509,"Weißensee",21,12,327,88,127,1399,73,146,278,63,23,6,336,51,47,748
+2018,"Pankow",30510,"Weißensee Ost",11,5,124,25,45,536,31,73,86,24,12,5,150,22,42,280
+2018,"Pankow",30611,"Prenzlauer Berg Nordwest",47,24,293,109,77,1468,39,109,365,39,12,4,292,113,175,648
+2018,"Pankow",30612,"Prenzlauer Berg Nord",24,13,190,49,79,1450,55,133,439,39,14,7,264,89,54,490
+2018,"Pankow",30613,"Helmholtzplatz",14,4,190,55,60,1016,16,57,296,23,5,4,279,127,49,478
+2018,"Pankow",30614,"Prenzlauer Berg Ost",37,15,371,78,77,2098,58,184,309,68,32,12,439,181,71,702
+2018,"Pankow",30715,"Prenzlauer Berg Südwest",22,14,340,75,71,1774,29,184,378,57,8,1,343,92,47,729
+2018,"Pankow",30716,"Prenzlauer Berg Süd",14,8,157,36,51,1218,61,167,318,55,9,3,267,86,39,504
+2018,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",20,17,63,17,29,553,30,111,144,0,5,3,77,9,42,156
+2018,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",23,6,279,84,107,1030,70,240,123,51,16,9,232,22,185,721
+2018,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",16,9,178,64,39,656,34,126,75,89,3,1,139,51,49,334
+2018,"Charlottenburg-Wilmersdorf",40203,"Westend",25,16,318,83,119,2188,66,347,213,79,11,4,243,33,45,703
+2018,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",18,10,282,62,87,1062,29,105,190,52,14,6,261,80,37,638
+2018,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",7,3,158,35,75,847,19,129,126,27,11,10,121,21,50,398
+2018,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",38,20,445,105,151,2266,32,216,421,62,19,9,399,104,65,1144
+2018,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",33,19,252,58,78,1534,47,195,269,66,15,6,222,47,57,724
+2018,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",38,15,284,54,85,2457,16,118,274,75,9,0,217,24,56,780
+2018,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",62,31,760,218,154,4351,35,227,264,46,15,5,387,82,173,1618
+2018,"Charlottenburg-Wilmersdorf",40310,"Halensee",13,4,136,26,39,1130,33,152,123,33,9,6,108,22,16,453
+2018,"Charlottenburg-Wilmersdorf",40411,"Grunewald",12,5,89,18,56,793,41,259,96,87,10,7,235,82,15,374
+2018,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",4,1,60,10,28,567,36,149,54,50,5,2,91,17,18,192
+2018,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",10,3,94,16,29,579,43,83,179,18,6,2,96,23,15,240
+2018,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",40,15,242,58,108,2210,54,284,337,107,11,8,363,132,70,1129
+2018,"Charlottenburg-Wilmersdorf",40515,"Barstraße",15,5,130,25,63,794,18,118,169,27,6,1,98,8,45,430
+2018,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",27,13,216,61,96,2129,60,239,471,64,23,7,259,53,75,736
+2018,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",7,4,22,3,6,32,1,7,1,0,5,5,9,2,0,36
+2018,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",29,26,102,31,57,749,47,183,89,0,7,4,78,10,53,238
+2018,"Spandau",50101,"Hakenfelde",16,11,202,56,55,864,36,237,58,16,17,10,193,5,26,480
+2018,"Spandau",50102,"Falkenhagener Feld",35,24,427,92,154,1012,56,194,174,41,29,13,296,10,53,904
+2018,"Spandau",50103,"Spandau Mitte",104,61,701,183,214,2227,33,332,270,38,29,13,425,50,224,1397
+2018,"Spandau",50204,"Brunsbütteler Damm",12,8,210,49,73,765,46,123,88,42,17,3,177,26,25,411
+2018,"Spandau",50205,"Heerstraße Nord",33,17,350,74,148,949,34,157,57,50,23,13,239,36,44,750
+2018,"Spandau",50206,"Wilhelmstadt",56,27,666,185,208,2681,32,208,234,57,20,8,451,52,134,1268
+2018,"Spandau",50307,"Haselhorst",15,9,170,25,63,772,43,147,56,24,10,5,133,19,24,414
+2018,"Spandau",50308,"Siemensstadt",17,6,152,34,46,773,34,94,169,31,4,1,128,35,17,417
+2018,"Spandau",50409,"Gatow/Kladow",7,3,104,21,58,395,12,61,38,66,9,3,82,2,11,217
+2018,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",20,18,64,22,40,364,17,127,45,0,6,4,70,6,26,165
+2018,"Steglitz-Zehlendorf",60101,"Schloßstr.",24,15,205,45,60,2152,21,113,302,33,10,0,191,52,50,445
+2018,"Steglitz-Zehlendorf",60102,"Albrechtstr.",24,10,250,51,132,1440,54,299,300,90,16,5,331,89,69,776
+2018,"Steglitz-Zehlendorf",60203,"Lankwitz",19,4,386,81,175,1167,41,254,130,76,22,12,290,33,84,789
+2018,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",19,8,199,31,94,1034,33,201,163,91,13,4,262,46,38,548
+2018,"Steglitz-Zehlendorf",60305,"Teltower Damm",14,7,180,30,86,1135,30,212,344,74,15,5,242,31,55,422
+2018,"Steglitz-Zehlendorf",60306,"Drakestr.",10,3,255,44,110,1759,61,492,351,85,30,11,329,30,45,650
+2018,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",6,4,164,40,48,912,28,220,142,49,28,11,312,146,32,307
+2018,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",14,7,181,40,85,1668,57,429,309,165,17,8,449,183,60,485
+2018,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",7,5,42,11,31,366,9,90,81,0,3,1,46,8,27,103
+2018,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",117,74,801,239,228,6218,55,395,598,132,27,14,590,124,459,3424
+2018,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",43,17,542,130,214,3553,50,331,690,115,20,8,586,174,259,1717
+2018,"Tempelhof-Schöneberg",70303,"Friedenau",23,10,266,70,110,2279,72,238,437,88,18,9,360,81,56,748
+2018,"Tempelhof-Schöneberg",70404,"Tempelhof",57,24,652,151,261,3729,105,652,504,134,51,11,812,239,358,1724
+2018,"Tempelhof-Schöneberg",70505,"Mariendorf",28,16,363,76,131,1760,57,419,187,119,31,13,457,78,82,899
+2018,"Tempelhof-Schöneberg",70606,"Marienfelde",22,12,212,48,87,1056,24,226,90,52,20,9,211,46,61,525
+2018,"Tempelhof-Schöneberg",70707,"Lichtenrade",25,13,352,61,113,1147,38,307,99,106,19,8,367,75,76,696
+2018,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",21,17,84,20,47,692,18,126,103,0,2,1,58,7,35,194
+2018,"Neukölln",80101,"Schillerpromenade",80,46,530,181,121,2316,36,363,229,86,36,21,431,77,371,1271
+2018,"Neukölln",80102,"Neuköllner Mitte/Zentrum",106,56,703,214,182,4453,49,526,376,67,33,16,589,62,332,1537
+2018,"Neukölln",80103,"Reuterstraße",53,28,584,210,136,2889,28,364,401,69,21,10,492,169,331,1355
+2018,"Neukölln",80104,"Rixdorf",33,18,533,144,198,2086,33,299,318,88,23,10,516,102,236,1361
+2018,"Neukölln",80105,"Köllnische Heide",25,7,261,74,103,1124,36,287,45,42,24,9,367,19,88,622
+2018,"Neukölln",80206,"Britz",70,41,440,97,203,2071,75,529,181,132,34,18,514,90,94,1193
+2018,"Neukölln",80207,"Buckow",16,7,201,41,101,566,32,169,36,42,16,9,194,27,34,487
+2018,"Neukölln",80308,"Gropiusstadt",55,32,399,95,149,1881,52,244,101,67,14,3,337,26,48,1258
+2018,"Neukölln",80409,"Buckow Nord",10,6,78,14,43,444,24,111,35,14,8,4,58,4,11,181
+2018,"Neukölln",80410,"Rudow",33,22,220,49,98,1100,77,299,89,127,26,8,310,51,32,576
+2018,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",24,23,81,34,45,632,10,144,38,2,6,2,62,8,56,199
+2018,"Treptow-Köpenick",90101,"Alt-Treptow",31,21,155,32,43,1305,14,100,290,21,6,1,182,63,77,496
+2018,"Treptow-Köpenick",90102,"Plänterwald",16,8,67,15,25,412,21,98,76,17,4,4,96,23,15,195
+2018,"Treptow-Köpenick",90103,"Baumschulenweg",12,2,140,32,70,836,27,130,118,77,11,9,167,24,22,384
+2018,"Treptow-Köpenick",90104,"Johannisthal",5,3,137,20,77,578,38,143,92,29,24,5,170,24,19,357
+2018,"Treptow-Köpenick",90205,"Oberschöneweide",16,8,355,78,105,892,61,210,115,26,18,7,268,51,81,689
+2018,"Treptow-Köpenick",90206,"Niederschöneweide",31,18,216,39,63,1115,30,94,137,17,7,6,206,108,108,365
+2018,"Treptow-Köpenick",90207,"Adlershof",19,9,189,44,54,1193,39,153,234,35,8,4,249,87,46,404
+2018,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",9,3,112,21,40,324,15,57,76,13,6,2,114,29,35,227
+2018,"Treptow-Köpenick",90309,"Altglienicke",10,7,179,28,72,674,56,144,101,68,10,2,183,36,34,396
+2018,"Treptow-Köpenick",90310,"Bohnsdorf",7,4,119,16,32,437,32,60,51,36,9,3,88,13,7,207
+2018,"Treptow-Köpenick",90311,"Grünau",3,1,29,5,14,268,7,48,87,16,8,3,117,79,5,85
+2018,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",0,0,17,1,3,74,3,15,12,8,4,2,21,2,3,37
+2018,"Treptow-Köpenick",90413,"Köpenick-Süd",0,0,84,14,32,345,17,86,61,36,19,3,114,11,10,210
+2018,"Treptow-Köpenick",90414,"Allende-Viertel",4,2,28,5,21,174,10,34,29,6,3,2,46,7,7,76
+2018,"Treptow-Köpenick",90415,"Altstadt-Kietz",2,1,120,29,30,211,7,24,59,1,3,1,98,18,21,207
+2018,"Treptow-Köpenick",90416,"Müggelheim",2,1,20,4,9,84,5,30,13,9,4,4,25,6,5,44
+2018,"Treptow-Köpenick",90517,"Friedrichshagen",6,5,107,28,30,585,29,49,214,13,8,5,158,39,10,233
+2018,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",2,0,30,6,15,261,6,52,95,24,4,3,50,9,10,62
+2018,"Treptow-Köpenick",90519,"Dammvorstadt",9,5,143,49,36,659,10,54,116,8,3,1,146,27,31,282
+2018,"Treptow-Köpenick",90520,"Köpenick-Nord",13,9,67,10,24,258,10,41,76,35,6,1,93,12,13,168
+2018,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",19,18,86,24,58,460,29,113,87,1,11,7,82,19,15,213
+2018,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",26,20,382,65,77,655,54,99,94,18,19,3,309,84,53,649
+2018,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",39,22,688,142,193,1679,135,252,98,46,50,15,469,65,96,1281
+2018,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",16,8,326,54,132,1378,142,290,85,43,26,7,350,54,56,725
+2018,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",26,14,561,104,201,1339,70,133,100,35,59,25,541,114,110,1091
+2018,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",14,9,277,44,87,493,35,71,67,8,19,6,231,40,50,510
+2018,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",16,7,381,88,104,652,33,78,98,22,31,8,329,99,50,647
+2018,"Marzahn-Hellersdorf",100307,"Biesdorf",12,6,149,30,64,1043,40,133,184,98,21,6,190,41,27,325
+2018,"Marzahn-Hellersdorf",100408,"Kaulsdorf",4,2,116,13,39,429,15,95,111,31,11,2,163,16,17,275
+2018,"Marzahn-Hellersdorf",100409,"Mahlsdorf",6,3,113,19,44,572,18,137,134,68,1,1,162,48,13,238
+2018,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",9,9,67,14,27,216,15,36,47,1,6,1,78,14,13,140
+2018,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",3,2,34,6,10,105,4,7,13,27,6,2,33,5,2,63
+2018,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",17,7,283,56,90,778,53,122,68,26,23,9,243,16,79,667
+2018,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",24,16,358,79,83,944,51,182,105,30,17,5,282,30,44,716
+2018,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",8,2,202,48,75,687,26,94,43,42,12,7,186,66,32,360
+2018,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",11,6,249,47,72,935,103,218,117,51,15,8,232,47,32,515
+2018,"Lichtenberg",110306,"Fennpfuhl",13,8,318,78,114,1134,75,233,161,48,21,6,300,41,45,654
+2018,"Lichtenberg",110307,"Alt-Lichtenberg",34,22,493,118,115,2276,67,270,252,40,27,11,354,86,84,1016
+2018,"Lichtenberg",110308,"Frankfurter Allee Süd",11,6,172,42,35,806,22,89,101,14,6,4,163,47,85,334
+2018,"Lichtenberg",110409,"Neu Lichtenberg",30,18,351,75,108,1646,49,163,351,69,19,6,395,127,58,771
+2018,"Lichtenberg",110410,"Friedrichsfelde Nord",8,5,145,27,47,500,53,82,66,20,18,5,128,26,21,293
+2018,"Lichtenberg",110411,"Friedrichsfelde Süd",14,9,161,29,66,808,46,141,140,22,9,5,200,43,17,389
+2018,"Lichtenberg",110512,"Rummelsburger Bucht",2,2,29,10,16,295,14,34,99,12,2,2,41,17,14,87
+2018,"Lichtenberg",110513,"Karlshorst",6,4,98,25,53,738,44,77,214,66,16,5,146,27,18,273
+2018,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",4,3,42,11,16,322,14,74,75,1,9,0,62,12,12,92
+2018,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",32,12,340,74,126,896,41,172,110,62,18,9,242,40,63,750
+2018,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",36,15,285,58,143,1415,52,290,120,67,14,3,303,80,135,682
+2018,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",11,4,271,72,107,825,30,195,41,37,10,6,170,6,209,545
+2018,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",28,16,422,101,149,1309,22,250,78,46,20,7,281,28,83,781
+2018,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",19,8,196,50,72,968,5,61,70,28,4,1,181,43,35,374
+2018,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",7,3,93,19,39,385,14,104,46,67,4,2,87,10,32,189
+2018,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",13,3,136,29,57,989,52,347,187,160,13,7,203,31,32,338
+2018,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",25,11,375,98,144,1168,35,168,132,97,11,3,311,83,95,765
+2018,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",44,22,464,101,184,1135,76,257,69,34,30,8,269,15,95,918
+2018,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",5,2,102,21,51,298,7,54,24,19,2,0,107,29,18,204
+2018,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",6,3,94,21,50,506,28,121,59,55,4,3,136,32,18,267
+2018,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",12,10,100,21,38,736,12,136,52,1,5,2,63,2,33,213
+2019,"Mitte",10111,"Tiergarten Süd",60,35,365,92,128,2271,15,198,296,55,13,6,347,77,231,980
+2019,"Mitte",10112,"Regierungsviertel",42,20,554,136,152,3692,13,172,352,22,19,4,497,162,170,1057
+2019,"Mitte",10113,"Alexanderplatz",173,102,1966,500,420,11233,63,587,940,137,43,12,1307,381,1133,3813
+2019,"Mitte",10114,"Brunnenstraße Süd",40,29,268,64,79,1859,39,182,361,64,18,7,424,172,86,902
+2019,"Mitte",10221,"Moabit West",66,29,685,210,202,2107,47,322,326,93,28,15,641,91,618,1409
+2019,"Mitte",10222,"Moabit Ost",48,29,652,150,231,3672,27,240,350,96,39,16,555,96,555,1597
+2019,"Mitte",10331,"Osloer Straße",61,30,727,168,214,2474,46,289,284,77,31,7,468,116,279,1457
+2019,"Mitte",10332,"Brunnenstraße Nord",62,42,692,201,209,2537,58,400,328,75,30,10,589,223,415,1399
+2019,"Mitte",10441,"Parkviertel",64,45,699,159,218,2779,50,492,260,113,33,13,540,86,156,1490
+2019,"Mitte",10442,"Wedding Zentrum",86,42,968,264,299,2883,43,442,310,113,37,14,759,190,573,1829
+2019,"Mitte",19900,"Bezirk (Mi), nicht zuzuordnen",5,4,19,7,5,94,0,6,10,0,0,0,15,7,17,34
+2019,"Friedrichshain-Kreuzberg",20101,"Südliche Friedrichstadt",125,70,716,200,255,3973,43,447,483,105,41,17,656,103,622,1858
+2019,"Friedrichshain-Kreuzberg",20202,"Tempelhofer Vorstadt",119,82,872,283,271,5797,113,525,1182,113,55,23,1320,530,527,2119
+2019,"Friedrichshain-Kreuzberg",20303,"nördliche Luisenstadt",94,67,524,215,99,2509,27,238,300,48,26,8,407,84,493,1103
+2019,"Friedrichshain-Kreuzberg",20304,"südliche Luisenstadt",182,150,530,251,125,2343,37,219,440,52,44,15,519,104,1310,1316
+2019,"Friedrichshain-Kreuzberg",20405,"Karl-Marx-Allee-Nord",38,26,225,58,61,1260,50,132,222,45,8,5,298,59,58,634
+2019,"Friedrichshain-Kreuzberg",20407,"Karl-Marx-Allee-Süd",98,74,787,281,160,3618,36,215,334,33,20,9,480,120,770,1573
+2019,"Friedrichshain-Kreuzberg",20506,"Frankfurter Allee Nord",30,16,376,109,96,1839,33,84,353,49,48,9,604,118,121,1212
+2019,"Friedrichshain-Kreuzberg",20508,"Frankfurter Allee Süd FK",132,92,972,353,168,4273,48,259,775,68,39,15,1062,335,1322,2606
+2019,"Friedrichshain-Kreuzberg",29900,"Bezirk (Fh-Kb), nicht zuzuordnen",2,2,4,2,2,38,0,1,5,0,1,1,3,1,9,10
+2019,"Pankow",30101,"Buch",9,5,243,57,91,742,17,78,118,8,26,6,259,51,38,439
+2019,"Pankow",30202,"Blankenfelde/Niederschönhausen",7,5,106,14,59,671,31,133,151,62,15,7,208,32,22,336
+2019,"Pankow",30203,"Buchholz",3,0,76,10,42,366,7,73,65,29,4,2,87,11,9,165
+2019,"Pankow",30304,"Karow",4,4,81,9,41,369,6,53,93,47,6,4,101,30,21,176
+2019,"Pankow",30307,"Blankenburg/Heinersdorf/Märchenland",6,4,107,22,48,702,23,115,151,45,9,4,181,40,24,230
+2019,"Pankow",30405,"Schönholz/Wilhelmsruh/Rosenthal",11,8,81,9,33,536,19,122,51,94,11,5,121,18,8,253
+2019,"Pankow",30406,"Pankow Zentrum",40,34,240,58,91,1572,47,146,502,58,13,3,311,88,41,659
+2019,"Pankow",30408,"Pankow Süd",26,15,231,42,101,1093,73,160,352,46,18,7,298,89,46,627
+2019,"Pankow",30509,"Weißensee",16,9,348,73,137,1728,61,197,350,83,12,6,401,101,68,845
+2019,"Pankow",30510,"Weißensee Ost",10,4,146,28,53,589,31,107,92,30,9,4,184,34,51,399
+2019,"Pankow",30611,"Prenzlauer Berg Nordwest",36,25,252,65,70,1391,42,94,380,38,15,2,294,90,154,621
+2019,"Pankow",30612,"Prenzlauer Berg Nord",22,9,209,39,78,1588,71,171,392,41,11,4,303,89,70,617
+2019,"Pankow",30613,"Helmholtzplatz",11,8,179,41,52,891,28,60,228,59,8,2,309,132,35,484
+2019,"Pankow",30614,"Prenzlauer Berg Ost",36,22,331,63,124,2111,76,182,319,72,23,7,496,179,92,828
+2019,"Pankow",30715,"Prenzlauer Berg Südwest",18,9,379,92,69,1549,38,140,360,70,13,5,372,132,50,754
+2019,"Pankow",30716,"Prenzlauer Berg Süd",28,14,154,26,66,1251,55,146,362,64,7,4,316,106,46,603
+2019,"Pankow",39900,"Bezirk (Pk), nicht zuzuordnen",1,1,11,3,1,53,1,8,10,0,1,0,8,2,13,18
+2019,"Charlottenburg-Wilmersdorf",40101,"Charlottenburg-Nord",35,10,316,84,110,1086,91,336,59,75,28,18,200,28,216,690
+2019,"Charlottenburg-Wilmersdorf",40202,"Heerstrasse",16,13,188,49,51,677,24,146,46,81,4,3,176,63,43,384
+2019,"Charlottenburg-Wilmersdorf",40203,"Westend",31,19,313,82,142,1899,52,315,205,122,17,11,325,44,45,821
+2019,"Charlottenburg-Wilmersdorf",40304,"Schloß Charlottenburg",26,9,238,42,124,903,16,97,174,32,11,5,271,77,54,579
+2019,"Charlottenburg-Wilmersdorf",40305,"Mierendorffplatz",26,11,165,37,72,767,27,143,100,23,14,8,199,33,48,458
+2019,"Charlottenburg-Wilmersdorf",40306,"Otto-Suhr-Allee",31,16,441,106,139,1940,20,291,346,66,25,16,480,97,84,1060
+2019,"Charlottenburg-Wilmersdorf",40307,"Neue Kantstraße",17,9,280,67,101,1249,47,202,247,74,12,7,225,26,71,660
+2019,"Charlottenburg-Wilmersdorf",40308,"Kantstraße",23,10,330,72,118,2233,15,100,274,56,9,4,170,17,72,812
+2019,"Charlottenburg-Wilmersdorf",40309,"Kurfürstendamm",85,36,767,212,171,4001,25,286,220,57,11,5,381,101,234,1339
+2019,"Charlottenburg-Wilmersdorf",40310,"Halensee",19,12,167,30,59,1101,25,149,160,56,8,6,167,14,30,502
+2019,"Charlottenburg-Wilmersdorf",40411,"Grunewald",15,8,133,19,70,783,31,242,86,117,9,2,264,114,21,419
+2019,"Charlottenburg-Wilmersdorf",40412,"Schmargendorf",9,7,84,13,38,676,29,144,93,70,8,3,117,22,16,252
+2019,"Charlottenburg-Wilmersdorf",40413,"Wiesbadener Straße",7,6,82,16,30,763,38,99,191,39,7,1,138,18,20,308
+2019,"Charlottenburg-Wilmersdorf",40514,"Düsseldorfer Straße",38,17,260,65,93,1686,67,314,290,83,24,11,357,119,80,807
+2019,"Charlottenburg-Wilmersdorf",40515,"Barstraße",9,6,118,20,55,720,27,131,168,30,4,3,114,21,39,343
+2019,"Charlottenburg-Wilmersdorf",40516,"Volkspark Wilmersdorf",26,16,229,47,91,2011,39,338,417,114,19,4,308,53,96,918
+2019,"Charlottenburg-Wilmersdorf",40617,"Forst Grunewald",6,6,17,6,13,36,1,11,3,1,13,13,15,5,4,44
+2019,"Charlottenburg-Wilmersdorf",49900,"Bezirk (Ch-Wi), nicht zuzuordnen",1,1,3,2,7,40,1,8,9,0,2,2,4,0,1,11
+2019,"Spandau",50101,"Hakenfelde",12,4,165,35,63,813,41,173,64,31,26,16,229,13,26,476
+2019,"Spandau",50102,"Falkenhagener Feld",20,11,399,74,162,1063,81,150,114,53,46,16,299,9,67,891
+2019,"Spandau",50103,"Spandau Mitte",65,31,671,160,251,1940,47,247,167,35,28,16,529,48,266,1328
+2019,"Spandau",50204,"Brunsbütteler Damm",14,3,169,41,73,839,51,125,121,25,17,6,207,10,18,438
+2019,"Spandau",50205,"Heerstraße Nord",21,9,362,77,122,860,35,151,88,51,25,12,338,70,42,740
+2019,"Spandau",50206,"Wilhelmstadt",39,20,601,150,202,2459,30,207,162,55,20,8,364,40,101,1148
+2019,"Spandau",50307,"Haselhorst",18,7,150,33,78,693,49,127,52,21,14,10,108,9,39,337
+2019,"Spandau",50308,"Siemensstadt",13,8,128,25,45,662,44,130,96,38,8,5,130,33,34,330
+2019,"Spandau",50409,"Gatow/Kladow",6,3,92,21,61,348,19,34,38,86,8,6,124,4,8,241
+2019,"Spandau",59900,"Bezirk (Sp), nicht zuzuordnen",3,1,7,3,0,17,0,5,1,0,2,2,4,0,5,12
+2019,"Steglitz-Zehlendorf",60101,"Schloßstr.",39,23,240,51,79,2281,41,155,388,65,41,5,248,45,70,587
+2019,"Steglitz-Zehlendorf",60102,"Albrechtstr.",35,23,274,49,128,1486,79,308,271,142,31,12,426,90,59,843
+2019,"Steglitz-Zehlendorf",60203,"Lankwitz",19,9,354,60,132,1262,51,240,104,117,19,6,333,30,78,839
+2019,"Steglitz-Zehlendorf",60204,"Ostpreußendamm",22,10,216,40,101,955,53,189,163,66,16,7,257,68,29,514
+2019,"Steglitz-Zehlendorf",60305,"Teltower Damm",36,28,173,29,94,1170,23,204,376,50,12,2,242,32,51,449
+2019,"Steglitz-Zehlendorf",60306,"Drakestr.",20,10,269,50,133,1475,52,289,288,94,19,7,316,35,44,676
+2019,"Steglitz-Zehlendorf",60407,"Zehlendorf Südwest",15,10,145,40,81,906,38,157,160,95,31,19,411,241,36,389
+2019,"Steglitz-Zehlendorf",60408,"Zehlendorf Nord",31,15,204,40,111,1782,65,379,390,148,24,13,475,215,43,567
+2019,"Steglitz-Zehlendorf",69900,"Bezirk (St-Zd), nicht zuzuordnen",0,0,9,3,3,39,0,6,6,0,1,1,1,0,2,12
+2019,"Tempelhof-Schöneberg",70101,"Schöneberg-Nord",125,81,737,206,228,4691,39,383,642,113,32,18,672,233,413,2016
+2019,"Tempelhof-Schöneberg",70202,"Schöneberg-Süd",43,24,606,142,209,3103,47,294,597,88,22,8,615,177,241,1632
+2019,"Tempelhof-Schöneberg",70303,"Friedenau",27,16,271,51,121,2173,72,325,421,92,32,15,389,88,67,777
+2019,"Tempelhof-Schöneberg",70404,"Tempelhof",66,27,813,173,325,3816,116,698,407,173,47,19,869,254,287,2128
+2019,"Tempelhof-Schöneberg",70505,"Mariendorf",40,21,332,68,258,1832,61,435,205,172,21,7,400,68,86,1080
+2019,"Tempelhof-Schöneberg",70606,"Marienfelde",16,9,260,67,102,947,48,191,107,46,23,10,251,40,41,557
+2019,"Tempelhof-Schöneberg",70707,"Lichtenrade",33,22,329,54,129,1008,80,225,126,95,36,12,398,71,69,675
+2019,"Tempelhof-Schöneberg",79900,"Bezirk (Th-Sb), nicht zuzuordnen",2,2,5,1,5,48,1,3,6,0,0,0,5,3,5,14
+2019,"Neukölln",80101,"Schillerpromenade",62,33,472,173,124,1983,21,243,256,101,24,16,404,59,458,1138
+2019,"Neukölln",80102,"Neuköllner Mitte/Zentrum",100,52,759,270,217,4680,30,458,388,97,32,18,634,119,469,1722
+2019,"Neukölln",80103,"Reuterstraße",77,47,604,203,187,3413,24,296,628,114,42,23,593,147,462,1717
+2019,"Neukölln",80104,"Rixdorf",55,40,492,153,148,2341,18,293,465,92,23,16,548,90,346,1506
+2019,"Neukölln",80105,"Köllnische Heide",24,8,221,56,98,1187,48,291,46,41,23,12,208,15,85,600
+2019,"Neukölln",80206,"Britz",52,30,464,107,217,2094,69,463,195,191,25,12,514,63,145,1346
+2019,"Neukölln",80207,"Buckow",24,14,222,42,119,567,29,155,39,49,13,6,324,10,51,678
+2019,"Neukölln",80308,"Gropiusstadt",48,27,448,129,171,1683,45,334,105,72,21,7,368,30,47,1037
+2019,"Neukölln",80409,"Buckow Nord",11,5,82,19,42,366,11,81,32,30,5,3,83,4,11,216
+2019,"Neukölln",80410,"Rudow",25,16,303,65,134,898,75,209,93,129,14,11,314,15,45,696
+2019,"Neukölln",89900,"Bezirk (Nk), nicht zuzuordnen",2,1,5,2,10,79,0,13,4,0,0,0,6,3,7,21
+2019,"Treptow-Köpenick",90101,"Alt-Treptow",32,21,203,60,61,1494,23,108,312,31,10,3,189,52,141,791
+2019,"Treptow-Köpenick",90102,"Plänterwald",5,1,56,11,34,536,32,97,64,38,2,1,102,16,7,257
+2019,"Treptow-Köpenick",90103,"Baumschulenweg",14,8,122,17,62,806,45,137,142,43,10,7,142,26,30,317
+2019,"Treptow-Köpenick",90104,"Johannisthal",12,6,121,21,67,591,47,161,90,39,14,6,143,11,32,340
+2019,"Treptow-Köpenick",90205,"Oberschöneweide",10,4,335,76,96,1202,79,362,168,37,24,11,333,63,84,749
+2019,"Treptow-Köpenick",90206,"Niederschöneweide",16,10,222,61,60,1042,30,83,172,20,9,4,251,106,48,418
+2019,"Treptow-Köpenick",90207,"Adlershof",14,9,171,36,78,983,48,140,240,23,9,6,240,52,28,396
+2019,"Treptow-Köpenick",90208,"Köllnische Vorstadt/Spindlersfeld",1,1,130,31,36,360,17,52,80,13,12,4,151,33,24,259
+2019,"Treptow-Köpenick",90309,"Altglienicke",11,8,213,44,78,671,88,120,91,55,16,5,164,21,39,442
+2019,"Treptow-Köpenick",90310,"Bohnsdorf",5,3,107,20,42,442,25,66,61,28,5,3,118,11,14,255
+2019,"Treptow-Köpenick",90311,"Grünau",2,1,33,8,23,251,12,35,73,14,15,9,136,64,8,114
+2019,"Treptow-Köpenick",90312,"Schmöckwitz/Karolinenhof/Rauchfangswerder",3,0,22,3,10,79,9,8,11,0,5,4,16,3,2,42
+2019,"Treptow-Köpenick",90413,"Köpenick-Süd",3,2,46,5,14,176,9,37,26,29,18,12,59,7,8,113
+2019,"Treptow-Köpenick",90414,"Allende-Viertel",1,0,75,17,20,355,20,53,87,5,8,5,94,15,18,172
+2019,"Treptow-Köpenick",90415,"Altstadt-Kietz",4,3,102,22,40,180,4,28,49,2,3,0,124,21,27,209
+2019,"Treptow-Köpenick",90416,"Müggelheim",1,1,21,7,9,86,4,11,14,5,11,10,48,10,11,53
+2019,"Treptow-Köpenick",90517,"Friedrichshagen",12,7,135,33,27,560,40,65,182,15,19,4,176,48,16,236
+2019,"Treptow-Köpenick",90518,"Rahnsdorf/Hessenwinkel",0,0,41,5,17,238,14,41,69,14,4,4,79,20,13,77
+2019,"Treptow-Köpenick",90519,"Dammvorstadt",19,14,206,60,46,756,21,72,154,11,8,3,161,36,65,373
+2019,"Treptow-Köpenick",90520,"Köpenick-Nord",3,3,79,24,30,265,15,53,61,36,13,5,91,19,16,178
+2019,"Treptow-Köpenick",99900,"Bezirk (Tp-Kp), nicht zuzuordnen",1,1,12,1,9,35,0,4,6,0,4,4,13,2,2,25
+2019,"Marzahn-Hellersdorf",100101,"Marzahn-Nord",28,17,405,71,104,554,54,71,53,17,27,9,305,78,53,682
+2019,"Marzahn-Hellersdorf",100102,"Marzahn-Mitte",56,41,712,171,190,1719,146,325,66,22,49,17,506,65,130,1271
+2019,"Marzahn-Hellersdorf",100103,"Marzahn-Süd",33,19,402,87,122,1546,156,346,101,45,11,6,325,21,70,831
+2019,"Marzahn-Hellersdorf",100204,"Hellersdorf-Nord",47,28,532,89,167,1607,61,176,96,29,50,23,531,65,112,1309
+2019,"Marzahn-Hellersdorf",100205,"Hellersdorf-Ost",28,19,244,49,81,545,39,79,77,10,31,10,188,30,42,540
+2019,"Marzahn-Hellersdorf",100206,"Hellersdorf-Süd",17,11,266,45,84,566,29,56,57,7,21,7,272,80,45,473
+2019,"Marzahn-Hellersdorf",100307,"Biesdorf",17,9,204,38,77,1038,48,152,158,76,16,6,187,29,34,396
+2019,"Marzahn-Hellersdorf",100408,"Kaulsdorf",8,4,113,21,39,517,24,81,98,40,14,7,137,17,18,225
+2019,"Marzahn-Hellersdorf",100409,"Mahlsdorf",3,3,85,17,40,487,38,88,78,85,9,4,191,56,30,197
+2019,"Marzahn-Hellersdorf",109900,"Bezirk (Mz-Hd), nicht zuzuordnen",2,2,4,0,2,26,3,5,1,0,0,0,14,4,10,10
+2019,"Lichtenberg",110101,"Malchow, Wartenberg und Falkenberg",1,0,24,6,6,110,1,14,10,14,5,0,35,6,6,42
+2019,"Lichtenberg",110102,"Neu-Hohenschönhausen Nord",11,6,346,63,107,547,52,78,53,17,29,11,254,24,68,637
+2019,"Lichtenberg",110103,"Neu-Hohenschönhausen Süd",20,15,327,79,90,855,64,148,91,22,21,5,257,18,26,706
+2019,"Lichtenberg",110204,"Alt-Hohenschönhausen Nord",17,9,197,41,64,891,35,136,62,35,7,6,173,13,26,469
+2019,"Lichtenberg",110205,"Alt-Hohenschönhausen Süd",18,10,254,44,75,1126,88,224,143,30,10,3,229,34,36,592
+2019,"Lichtenberg",110306,"Fennpfuhl",22,11,312,57,98,1056,60,185,133,45,25,10,358,58,45,686
+2019,"Lichtenberg",110307,"Alt-Lichtenberg",74,54,553,126,149,2105,94,254,214,32,38,21,445,94,102,1115
+2019,"Lichtenberg",110308,"Frankfurter Allee Süd",20,7,159,51,37,693,34,65,92,5,10,6,173,45,88,292
+2019,"Lichtenberg",110409,"Neu Lichtenberg",32,21,349,89,117,1699,52,107,384,36,15,9,422,91,51,1036
+2019,"Lichtenberg",110410,"Friedrichsfelde Nord",18,14,153,37,73,567,53,113,77,8,12,2,171,44,23,355
+2019,"Lichtenberg",110411,"Friedrichsfelde Süd",14,9,187,41,61,908,56,139,116,50,13,6,253,35,38,500
+2019,"Lichtenberg",110512,"Rummelsburger Bucht",4,3,58,14,20,332,11,55,99,12,9,6,80,28,11,147
+2019,"Lichtenberg",110513,"Karlshorst",6,6,117,26,49,720,38,112,171,73,8,4,131,24,13,288
+2019,"Lichtenberg",119900,"Bezirk (Lb), nicht zuzuordnen",3,3,7,1,4,28,0,1,6,0,0,0,5,0,1,17
+2019,"Reinickendorf",121031,"Ost 1 - Reginhardstr.",21,14,322,75,119,947,42,172,117,77,23,12,225,24,104,738
+2019,"Reinickendorf",121032,"Ost 2 - Alt-Reinickendorf",34,21,282,67,132,1261,41,286,90,84,11,5,314,116,119,666
+2019,"Reinickendorf",122141,"West 1 - Tegel-Süd/Flughafensee",9,4,256,69,109,1233,21,217,43,37,9,3,142,6,210,528
+2019,"Reinickendorf",122144,"West 4 - Auguste-Viktoria-Allee",29,13,351,84,161,1336,21,255,99,54,16,6,271,63,70,785
+2019,"Reinickendorf",122145,"West 5 - Tegel/Tegeler Forst",29,15,164,53,70,860,7,38,69,36,8,4,127,26,34,350
+2019,"Reinickendorf",122242,"West 2 - Heiligensee/Konradshöhe",7,3,77,21,56,365,23,87,61,43,7,4,116,13,18,199
+2019,"Reinickendorf",122311,"Nord 1 - Frohnau/Hermsdorf",14,8,106,23,54,883,41,153,275,87,4,1,198,28,44,286
+2019,"Reinickendorf",123012,"Nord 2 - Waidmannslust/Wittenau/Lübars",34,19,372,85,123,1160,30,135,150,93,16,3,306,74,110,728
+2019,"Reinickendorf",123021,"MV 1 - Märkisches Viertel",42,22,491,123,187,1100,51,224,76,40,39,19,286,11,73,986
+2019,"Reinickendorf",123022,"MV 2 - Rollbergsiedlung",6,4,84,19,34,293,13,36,18,34,5,2,156,56,21,212
+2019,"Reinickendorf",123043,"West 3 - Borsigwalde/Freie Scholle",8,4,95,18,43,492,21,96,69,38,6,1,79,8,31,218
+2019,"Reinickendorf",129900,"Bezirk (Rd), nicht zuzuordnen",3,2,14,7,4,59,0,7,15,0,1,0,7,3,9,21
diff --git a/data/raw/Population_Berlin.csv b/data/raw/Population_Berlin.csv
new file mode 100644
index 00000000..5f872128
--- /dev/null
+++ b/data/raw/Population_Berlin.csv
@@ -0,0 +1,4 @@
+Postleitzah,Bezirk,"Ins-
+gesamt",unter 6, 6 - 15,15 - 18,18 - 27,27 - 45,45 - 55,55 - 65,"65 und
+mehr","Darunter
+weiblich"
10115,Mitte,26274,1754,2051,473,2461,11595,4253,2041,1646,12818
10117,Mitte,15531,782,881,250,1558,5346,2342,1854,2518,7489
10119,Mitte,15064,1014,1087,213,1319,6650,2543,1158,1080,7489
10119,Pankow,4606,336,426,118,423,1753,991,349,210,2258
10178,Mitte,14385,692,714,203,1588,5100,1856,1473,2759,6953
10179,Friedrichsh.-Kreuzb.,406,24,36,6,21,99,36,52,132,232
10179,Mitte,23564,1277,1143,355,2637,7603,3006,2535,5008,11692
10243,Friedrichsh.-Kreuzb.,30655,1730,1725,461,3578,11759,3630,2751,5021,15201
10245,Friedrichsh.-Kreuzb.,33509,2410,1869,485,3456,17523,4138,1870,1758,15966
10247,Friedrichsh.-Kreuzb.,38094,2691,2403,578,4063,19655,4651,2282,1771,18307
10247,Pankow,1397,189,301,60,58,464,249,43,33,684
10249,Friedrichsh.-Kreuzb.,27693,1827,1619,387,2491,11888,3348,2327,3806,13697
10249,Pankow,1192,140,120,6,59,490,126,72,179,638
10315,Lichtenberg,33424,1870,1908,522,3825,10810,3736,3825,6928,16393
10317,Lichtenberg,23021,1929,1681,349,2433,10453,2817,1686,1673,10981
10318,Lichtenberg,27217,2147,2505,623,2329,8067,4116,3084,4346,13915
10319,Lichtenberg,24481,1188,1458,434,2212,5719,2707,2764,7999,13038
10365,Lichtenberg,27052,1778,1869,572,3317,9294,3253,2660,4309,13177
10367,Lichtenberg,21735,1334,1327,347,2174,7156,2473,2207,4717,11090
10369,Lichtenberg,20386,1046,1232,353,1917,5237,2272,2155,6174,10462
10405,Pankow,32065,2449,2755,642,2706,13118,5507,2513,2375,15867
10407,Pankow,25254,1742,2200,504,2249,9369,4201,2165,2824,12699
10409,Pankow,23033,1087,1144,289,1981,7391,2836,2242,6063,12070
10435,Mitte,4117,340,316,54,300,1884,735,231,257,2093
10435,Pankow,13283,976,1166,247,1075,5762,2550,907,600,6491
10437,Pankow,32972,2511,2756,605,2804,14471,6329,2017,1479,16270
10439,Pankow,29073,1818,1847,404,2833,13299,4373,1925,2574,14537
10551,Mitte,19350,1053,1156,359,2895,6988,2505,2168,2226,9095
10553,Mitte,11725,635,770,221,2076,4316,1501,1143,1063,5273
10555,Mitte,17933,851,1069,376,2714,5600,2443,2243,2637,8858
10557,Mitte,17971,999,1198,412,2107,5372,2584,2082,3217,8806
10559,Mitte,16802,1082,1231,364,2572,6072,2166,1568,1747,7940
10585,Charlbg.-Wilmersd.,15268,802,953,342,1571,4525,2150,2025,2900,7770
10587,Charlbg.-Wilmersd.,13408,672,694,223,1515,4086,1957,1673,2588,6828
10589,Charlbg.-Wilmersd.,15298,750,811,257,1811,4819,2312,2100,2438,7695
10623,Charlbg.-Wilmersd.,6399,238,340,141,614,1711,1009,960,1386,3182
10625,Charlbg.-Wilmersd.,11864,514,594,192,1244,3267,1899,1717,2437,6007
10627,Charlbg.-Wilmersd.,14145,722,930,267,1830,4389,2057,1705,2245,6936
10629,Charlbg.-Wilmersd.,14162,689,801,253,1209,3451,2297,2159,3303,7290
10707,Charlbg.-Wilmersd.,12988,652,682,236,1087,3205,2005,1881,3240,6701
10709,Charlbg.-Wilmersd.,10516,467,584,213,957,2652,1482,1506,2655,5515
10711,Charlbg.-Wilmersd.,11235,497,657,225,1015,2985,1675,1629,2552,5744
10713,Charlbg.-Wilmersd.,12982,720,890,291,1552,3620,1890,1718,2301,6627
10715,Charlbg.-Wilmersd.,17326,820,1140,381,1840,4712,2664,2248,3521,8925
10717,Charlbg.-Wilmersd.,17287,746,985,366,1642,4298,2610,2470,4170,8933
10719,Charlbg.-Wilmersd.,10230,475,541,198,814,2422,1633,1483,2664,5212
10777,Charlbg.-Wilmersd.,3275,123,183,39,321,854,492,435,828,1661
10777,Tempelh.-Sch�neb.,9729,403,436,144,959,2627,1714,1459,1987,4372
10779,Charlbg.-Wilmersd.,2405,103,139,37,203,568,410,334,611,1217
10779,Tempelh.-Sch�neb.,6918,295,382,131,737,1798,1087,954,1534,3551
10781,Tempelh.-Sch�neb.,14095,739,1002,325,1400,3950,2376,2044,2259,6999
10783,Tempelh.-Sch�neb.,12694,677,1044,329,1636,3684,1961,1574,1789,5975
10785,Friedrichsh.-Kreuzb.,706,92,36,10,45,381,75,33,34,316
10785,Mitte,10936,587,798,286,1584,3461,1473,1319,1428,5000
10785,Tempelh.-Sch�neb.,1475,63,100,34,169,398,226,236,249,658
10787,Charlbg.-Wilmersd.,124,3,6,4,3,31,12,24,41,55
10787,Mitte,3283,150,105,22,500,995,388,408,715,1576
10787,Tempelh.-Sch�neb.,3827,206,329,115,452,1043,575,397,710,1787
10789,Charlbg.-Wilmersd.,3099,174,197,27,302,954,445,369,631,1450
10789,Tempelh.-Sch�neb.,2185,97,145,61,193,619,273,316,481,1044
10823,Tempelh.-Sch�neb.,9156,554,552,196,854,2815,1647,1278,1260,4656
10825,Charlbg.-Wilmersd.,303,15,19,13,12,63,65,37,79,152
10825,Tempelh.-Sch�neb.,10355,536,675,217,1002,2805,1630,1358,2132,5275
10827,Tempelh.-Sch�neb.,16205,953,1103,358,1996,5583,2275,1999,1938,7822
10829,Tempelh.-Sch�neb.,14720,861,929,256,1546,5261,2507,1878,1482,7321
10961,Friedrichsh.-Kreuzb.,20122,1184,1228,412,2455,7565,3041,2313,1924,9773
10963,Friedrichsh.-Kreuzb.,13826,880,1168,371,1967,4730,1929,1393,1388,6470
10963,Mitte,245,36,9,4,31,54,47,36,28,128
10965,Friedrichsh.-Kreuzb.,18982,1158,1338,383,1827,6713,3066,2470,2027,9355
10965,Tempelh.-Sch�neb.,2099,184,211,46,242,631,399,220,166,1034
10967,Friedrichsh.-Kreuzb.,19080,1252,1441,393,1891,7282,2847,2149,1825,9454
10967,Neuk�lln,2096,130,144,30,230,815,298,232,217,1021
10969,Friedrichsh.-Kreuzb.,28128,1972,2936,969,3611,8103,3979,2754,3804,13901
10997,Friedrichsh.-Kreuzb.,26552,1555,1871,628,2879,10367,3995,2793,2464,12786
10999,Friedrichsh.-Kreuzb.,26134,1494,1989,623,2955,9763,4089,2770,2451,12644
12043,Neuk�lln,15983,1074,1116,305,1837,7000,1818,1420,1413,7669
12045,Neuk�lln,16535,1052,1008,273,1825,7425,1993,1368,1591,8124
12047,Neuk�lln,15998,1021,991,246,1353,7241,2324,1482,1340,8049
12049,Neuk�lln,20905,1253,1241,394,2229,9391,2677,1964,1756,9923
12051,Neuk�lln,26552,1683,2140,688,3558,10290,3198,2238,2757,12903
12053,Neuk�lln,18901,1107,1482,496,2088,7338,2422,1802,2166,9297
12055,Neuk�lln,15496,972,1017,347,2055,6619,1840,1386,1260,7288
12057,Neuk�lln,16508,1540,1987,567,2219,4257,2167,1591,2180,8127
12059,Neuk�lln,19164,1296,1402,391,2132,7602,2368,1801,2172,9481
12099,Tempelh.-Sch�neb.,16054,1042,1134,322,2058,5037,2140,1770,2551,8045
12101,Tempelh.-Sch�neb.,16705,961,1326,429,1702,4189,2601,2109,3388,8604
12103,Tempelh.-Sch�neb.,20775,1215,1334,386,2106,6117,2948,2618,4051,10900
12105,Tempelh.-Sch�neb.,24435,1404,1580,504,2412,6208,3469,3219,5639,12698
12107,Neuk�lln,238,12,15,9,21,74,38,25,44,121
12107,Tempelh.-Sch�neb.,21293,997,1463,507,1948,4473,3005,2715,6185,11104
12109,Tempelh.-Sch�neb.,15847,838,974,338,1520,3749,2248,2181,3999,8331
12157,Steglitz-Zehlend.,7690,451,475,127,693,2209,1162,1036,1537,4154
12157,Tempelh.-Sch�neb.,12368,782,940,309,1431,3568,1941,1533,1864,6369
12159,Tempelh.-Sch�neb.,15518,827,1246,407,1541,3581,2464,2252,3200,8330
12161,Steglitz-Zehlend.,1664,93,87,32,166,511,240,254,281,899
12161,Tempelh.-Sch�neb.,16459,870,1297,420,1529,4092,2801,2388,3062,8700
12163,Steglitz-Zehlend.,19617,1093,1272,411,1892,5073,2911,2626,4339,10479
12163,Tempelh.-Sch�neb.,406,18,21,6,62,117,55,66,61,215
12165,Steglitz-Zehlend.,4899,274,357,150,516,1209,745,654,994,2512
12167,Steglitz-Zehlend.,20244,1090,1252,388,1972,5349,3006,2641,4546,10855
12169,Steglitz-Zehlend.,17745,900,1202,364,1733,4419,2752,2334,4041,9288
12203,Steglitz-Zehlend.,22033,1119,1728,590,2092,4851,3578,3008,5067,11479
12205,Steglitz-Zehlend.,16063,775,1655,511,1278,2984,2735,2070,4055,8462
12207,Steglitz-Zehlend.,23489,1282,1823,559,2360,4850,3319,2883,6413,12301
12209,Steglitz-Zehlend.,15794,775,1267,482,1256,2785,2458,2226,4545,8413
12247,Steglitz-Zehlend.,20826,1084,1360,459,1762,4683,2963,2823,5692,11021
12249,Steglitz-Zehlend.,23890,1285,1686,532,2382,5247,3702,3092,5964,12634
12249,Tempelh.-Sch�neb.,710,31,61,21,74,168,90,107,158,319
12277,Tempelh.-Sch�neb.,14653,880,1371,418,1407,3017,2180,1829,3551,7382
12279,Tempelh.-Sch�neb.,17607,1014,1425,446,1582,3760,2185,2171,5024,9291
12305,Tempelh.-Sch�neb.,20981,996,1550,614,1651,3840,3272,2896,6162,11011
12307,Tempelh.-Sch�neb.,12238,609,937,347,1021,2133,2051,1794,3346,6359
12309,Tempelh.-Sch�neb.,17884,1146,1717,530,1659,3541,2625,2322,4344,9185
12347,Neuk�lln,20149,1311,1638,500,2215,5274,2937,2514,3760,10174
12349,Neuk�lln,22953,1098,1717,592,2255,4455,3478,3122,6236,11840
12351,Neuk�lln,20658,1068,1583,545,1943,3920,2809,2697,6093,10857
12353,Neuk�lln,33487,2115,2713,901,3413,7204,4328,4051,8762,17454
12355,Neuk�lln,28177,1524,2260,839,2552,5313,4534,4034,7121,14558
12357,Neuk�lln,14809,754,1007,445,1365,2639,2437,2161,4001,7440
12359,Neuk�lln,20624,1251,1446,520,1942,4651,2983,2868,4963,10715
12435,Treptow-K�penick,18594,1351,1391,345,1365,6976,2817,1712,2637,9349
12437,Treptow-K�penick,23351,1232,1190,359,2115,6936,3163,2495,5861,12049
12439,Treptow-K�penick,11655,752,788,208,1273,3584,1469,1201,2380,5791
12459,Treptow-K�penick,22296,1653,1531,502,2921,7967,2759,2071,2892,10906
12487,Treptow-K�penick,20179,1168,1446,455,1644,5089,3069,2517,4791,10391
12489,Treptow-K�penick,18725,1158,1155,339,2201,5795,2489,2059,3529,9362
12524,Treptow-K�penick,27716,1893,2612,795,2227,6575,4885,3931,4798,13970
12526,Treptow-K�penick,12164,683,968,295,867,2576,2176,1905,2694,6132
12527,Treptow-K�penick,10670,577,701,233,624,2367,1808,1510,2850,5448
12555,Treptow-K�penick,29616,1765,1899,606,2191,8012,4119,3787,7237,15448
12557,Treptow-K�penick,23537,1404,1719,504,1593,5747,3496,3281,5793,12073
12559,Treptow-K�penick,18356,812,1273,407,1041,3553,2571,2754,5945,9398
12587,Treptow-K�penick,18635,1013,1354,410,911,3955,2931,2346,5715,10048
12589,Treptow-K�penick,9499,487,776,226,499,1694,1677,1592,2548,4746
12619,Marzahn-Hellersd.,27879,1921,2130,597,2229,7689,3578,4639,5096,14361
12621,Marzahn-Hellersd.,17002,851,1272,451,908,3323,3173,3275,3749,8611
12623,Marzahn-Hellersd.,29519,1538,2279,716,1614,5867,5538,5651,6316,14752
12627,Marzahn-Hellersd.,39351,3163,3906,976,3800,11367,5601,5760,4778,19972
12629,Marzahn-Hellersd.,15049,1291,1487,388,1507,4372,2045,2145,1814,7589
12679,Marzahn-Hellersd.,28612,1684,2310,633,2363,7280,3066,4898,6378,14368
12681,Marzahn-Hellersd.,19054,1008,1329,386,1748,4969,2005,2702,4907,9301
12683,Marzahn-Hellersd.,26850,1347,1944,558,2003,5534,4343,4788,6333,13551
12685,Marzahn-Hellersd.,20444,1264,1519,483,1486,4901,2302,3188,5301,10355
12687,Marzahn-Hellersd.,18578,1260,1597,452,1419,4913,1794,3145,3998,9468
12689,Marzahn-Hellersd.,24343,1807,2501,703,2258,6675,3096,4205,3098,12033
13051,Lichtenberg,23047,1517,2028,558,1800,5592,2980,4449,4123,11522
13053,Lichtenberg,21278,1467,1763,429,1742,5278,2788,3461,4350,10679
13055,Lichtenberg,31503,2096,2335,755,2661,8986,4015,3847,6808,16168
13057,Lichtenberg,17211,1263,1628,453,1427,4695,2510,2965,2270,8625
13059,Lichtenberg,15887,1033,1408,384,1284,4024,2218,2903,2633,8206
13086,Pankow,28207,2075,2169,555,2444,9908,4250,2845,3961,14074
13088,Pankow,26352,1715,2169,555,2012,7762,4064,2866,5209,13680
13089,Pankow,7507,446,594,231,610,1643,1372,1129,1482,3595
13125,Pankow,36091,2630,3171,987,2727,9287,5138,4691,7460,18451
13127,Pankow,20804,1412,1953,624,1344,5060,3819,3050,3542,10582
13129,Pankow,6927,362,591,184,378,1311,1345,1168,1588,3482
13156,Pankow,30497,2040,2943,852,2226,7646,5363,3455,5972,15895
13158,Pankow,18309,1053,1551,552,1325,4055,3379,2611,3783,9427
13159,Pankow,2157,106,196,61,127,418,380,344,525,1048
13187,Pankow,34455,2667,3426,803,2379,10865,5437,3325,5553,18199
13189,Pankow,28108,1870,2110,554,2044,9442,4280,3083,4725,14703
13347,Mitte,31898,1893,2567,893,4834,10697,4053,2974,3987,15036
13349,Mitte,14586,763,827,246,1804,4277,1916,1709,3044,7284
13351,Mitte,16541,912,1107,314,2267,5170,2248,1940,2583,8114
13353,Mitte,29475,1692,1947,675,5263,11414,3567,2635,2282,13661
13355,Mitte,23710,1741,2468,735,2792,7011,3045,2391,3527,11760
13357,Mitte,30992,2157,2615,821,5129,11076,3954,2468,2772,14500
13359,Mitte,26967,1966,2436,761,4102,9163,3387,2375,2777,12804
13403,Reinickendorf,30748,1775,2252,687,3538,7755,4396,3880,6465,15355
13405,Mitte,485,25,50,22,64,109,83,91,41,217
13405,Reinickendorf,5551,516,568,174,778,1567,747,578,623,2610
13407,Mitte,3678,230,223,67,322,945,477,463,951,1982
13407,Reinickendorf,22906,1329,1592,443,2676,5756,3246,2956,4908,11725
13409,Mitte,2429,192,278,77,354,722,297,215,294,1122
13409,Reinickendorf,28856,1867,2267,734,3641,8237,4118,3438,4554,14263
13435,Reinickendorf,19307,1300,1836,687,1998,3800,2529,2193,4964,10041
13437,Reinickendorf,16069,900,1025,408,1574,3124,2404,2138,4496,8270
13439,Reinickendorf,22989,1887,2955,881,2431,5213,2779,2473,4370,11830
13465,Reinickendorf,17573,855,1590,575,1232,2479,2910,2480,5452,9124
13467,Reinickendorf,15904,773,1280,446,1153,2475,2567,2405,4805,8264
13469,Reinickendorf,17887,1050,1821,630,1680,3471,2791,2412,4032,9102
13503,Reinickendorf,17591,897,1390,551,1167,2784,2927,2934,4941,8991
13505,Reinickendorf,6585,293,499,246,477,964,1115,1006,1985,3364
13507,Reinickendorf,23755,1190,1402,526,2196,5601,3477,3080,6283,12100
13509,Reinickendorf,16901,810,1046,345,1574,3699,2799,2339,4289,8761
13581,Spandau,16492,872,1230,349,1989,3980,2271,2057,3744,8133
13583,Spandau,23394,1486,1830,557,2488,5896,3317,3068,4752,12129
13585,Spandau,24385,1652,2048,676,3008,6906,3468,2864,3763,12035
13587,Spandau,22209,1120,1554,513,2160,4957,3055,2928,5922,11489
13589,Spandau,23353,1482,2182,746,2239,4852,3169,2967,5716,12142
13591,Spandau,28299,1501,2526,886,2825,5446,4836,4006,6273,14564
13593,Spandau,23139,1782,2336,791,2424,5014,2855,2676,5261,11914
13595,Spandau,22306,1138,1440,491,2305,5335,3370,2925,5302,11472
13597,Spandau,10234,706,886,307,1176,2700,1518,1204,1737,5017
13599,Spandau,16171,1041,1374,438,1635,3974,2346,2083,3280,8370
13627,Charlbg.-Wilmersd.,19343,1158,1472,469,1938,4820,2700,2414,4372,9939
13629,Reinickendorf,872,30,55,12,51,135,136,139,314,426
13629,Spandau,12159,797,1036,318,1419,3185,1745,1435,2224,6094
14050,Charlbg.-Wilmersd.,11547,546,704,229,1070,2481,1619,1524,3374,6093
14052,Charlbg.-Wilmersd.,13422,570,889,316,1332,2831,1999,1613,3872,6804
14053,Charlbg.-Wilmersd.,199,14,40,9,6,42,34,30,24,100
14055,Charlbg.-Wilmersd.,11507,450,851,304,1292,2004,1660,1400,3546,5973
14057,Charlbg.-Wilmersd.,15365,700,973,326,1613,3898,2363,2102,3390,8008
14059,Charlbg.-Wilmersd.,22752,1216,1496,442,2635,6407,3334,2966,4256,11764
14089,Spandau,19996,1091,2043,701,1522,3274,3189,2919,5257,10081
14109,Steglitz-Zehlend.,11331,595,1059,333,762,1794,1878,1538,3372,5801
14129,Steglitz-Zehlend.,15528,710,1347,444,1812,2573,2319,1917,4406,8096
14163,Steglitz-Zehlend.,17530,850,1581,599,1480,2797,2846,2398,4979,9155
14165,Steglitz-Zehlend.,15502,722,1203,435,1283,2726,2379,2131,4623,8364
14167,Steglitz-Zehlend.,18760,1035,1587,615,1614,3651,3001,2440,4817,9715
14169,Steglitz-Zehlend.,18398,825,1566,557,1641,3054,3006,2446,5303,10085
14193,Charlbg.-Wilmersd.,17615,837,1191,338,1418,3546,2688,2408,5189,9319
14195,Charlbg.-Wilmersd.,1353,36,115,51,66,199,220,174,492,738
14195,Steglitz-Zehlend.,15530,790,1581,576,1439,2745,2577,1917,3905,8086
14197,Charlbg.-Wilmersd.,17931,788,1102,371,1395,3572,2891,2728,5084,9698
14197,Tempelh.-Sch�neb.,1348,78,73,21,201,329,209,189,248,717
14199,Charlbg.-Wilmersd.,15369,681,1157,362,1204,3056,2364,1975,4570,8303
14199,Steglitz-Zehlend.,43,0,0,0,6,18,3,7,9,19
diff --git a/data/raw/population_berlin_original.csv b/data/raw/population_berlin_original.csv
new file mode 100644
index 00000000..5f872128
--- /dev/null
+++ b/data/raw/population_berlin_original.csv
@@ -0,0 +1,4 @@
+Postleitzah,Bezirk,"Ins-
+gesamt",unter 6, 6 - 15,15 - 18,18 - 27,27 - 45,45 - 55,55 - 65,"65 und
+mehr","Darunter
+weiblich"
10115,Mitte,26274,1754,2051,473,2461,11595,4253,2041,1646,12818
10117,Mitte,15531,782,881,250,1558,5346,2342,1854,2518,7489
10119,Mitte,15064,1014,1087,213,1319,6650,2543,1158,1080,7489
10119,Pankow,4606,336,426,118,423,1753,991,349,210,2258
10178,Mitte,14385,692,714,203,1588,5100,1856,1473,2759,6953
10179,Friedrichsh.-Kreuzb.,406,24,36,6,21,99,36,52,132,232
10179,Mitte,23564,1277,1143,355,2637,7603,3006,2535,5008,11692
10243,Friedrichsh.-Kreuzb.,30655,1730,1725,461,3578,11759,3630,2751,5021,15201
10245,Friedrichsh.-Kreuzb.,33509,2410,1869,485,3456,17523,4138,1870,1758,15966
10247,Friedrichsh.-Kreuzb.,38094,2691,2403,578,4063,19655,4651,2282,1771,18307
10247,Pankow,1397,189,301,60,58,464,249,43,33,684
10249,Friedrichsh.-Kreuzb.,27693,1827,1619,387,2491,11888,3348,2327,3806,13697
10249,Pankow,1192,140,120,6,59,490,126,72,179,638
10315,Lichtenberg,33424,1870,1908,522,3825,10810,3736,3825,6928,16393
10317,Lichtenberg,23021,1929,1681,349,2433,10453,2817,1686,1673,10981
10318,Lichtenberg,27217,2147,2505,623,2329,8067,4116,3084,4346,13915
10319,Lichtenberg,24481,1188,1458,434,2212,5719,2707,2764,7999,13038
10365,Lichtenberg,27052,1778,1869,572,3317,9294,3253,2660,4309,13177
10367,Lichtenberg,21735,1334,1327,347,2174,7156,2473,2207,4717,11090
10369,Lichtenberg,20386,1046,1232,353,1917,5237,2272,2155,6174,10462
10405,Pankow,32065,2449,2755,642,2706,13118,5507,2513,2375,15867
10407,Pankow,25254,1742,2200,504,2249,9369,4201,2165,2824,12699
10409,Pankow,23033,1087,1144,289,1981,7391,2836,2242,6063,12070
10435,Mitte,4117,340,316,54,300,1884,735,231,257,2093
10435,Pankow,13283,976,1166,247,1075,5762,2550,907,600,6491
10437,Pankow,32972,2511,2756,605,2804,14471,6329,2017,1479,16270
10439,Pankow,29073,1818,1847,404,2833,13299,4373,1925,2574,14537
10551,Mitte,19350,1053,1156,359,2895,6988,2505,2168,2226,9095
10553,Mitte,11725,635,770,221,2076,4316,1501,1143,1063,5273
10555,Mitte,17933,851,1069,376,2714,5600,2443,2243,2637,8858
10557,Mitte,17971,999,1198,412,2107,5372,2584,2082,3217,8806
10559,Mitte,16802,1082,1231,364,2572,6072,2166,1568,1747,7940
10585,Charlbg.-Wilmersd.,15268,802,953,342,1571,4525,2150,2025,2900,7770
10587,Charlbg.-Wilmersd.,13408,672,694,223,1515,4086,1957,1673,2588,6828
10589,Charlbg.-Wilmersd.,15298,750,811,257,1811,4819,2312,2100,2438,7695
10623,Charlbg.-Wilmersd.,6399,238,340,141,614,1711,1009,960,1386,3182
10625,Charlbg.-Wilmersd.,11864,514,594,192,1244,3267,1899,1717,2437,6007
10627,Charlbg.-Wilmersd.,14145,722,930,267,1830,4389,2057,1705,2245,6936
10629,Charlbg.-Wilmersd.,14162,689,801,253,1209,3451,2297,2159,3303,7290
10707,Charlbg.-Wilmersd.,12988,652,682,236,1087,3205,2005,1881,3240,6701
10709,Charlbg.-Wilmersd.,10516,467,584,213,957,2652,1482,1506,2655,5515
10711,Charlbg.-Wilmersd.,11235,497,657,225,1015,2985,1675,1629,2552,5744
10713,Charlbg.-Wilmersd.,12982,720,890,291,1552,3620,1890,1718,2301,6627
10715,Charlbg.-Wilmersd.,17326,820,1140,381,1840,4712,2664,2248,3521,8925
10717,Charlbg.-Wilmersd.,17287,746,985,366,1642,4298,2610,2470,4170,8933
10719,Charlbg.-Wilmersd.,10230,475,541,198,814,2422,1633,1483,2664,5212
10777,Charlbg.-Wilmersd.,3275,123,183,39,321,854,492,435,828,1661
10777,Tempelh.-Sch�neb.,9729,403,436,144,959,2627,1714,1459,1987,4372
10779,Charlbg.-Wilmersd.,2405,103,139,37,203,568,410,334,611,1217
10779,Tempelh.-Sch�neb.,6918,295,382,131,737,1798,1087,954,1534,3551
10781,Tempelh.-Sch�neb.,14095,739,1002,325,1400,3950,2376,2044,2259,6999
10783,Tempelh.-Sch�neb.,12694,677,1044,329,1636,3684,1961,1574,1789,5975
10785,Friedrichsh.-Kreuzb.,706,92,36,10,45,381,75,33,34,316
10785,Mitte,10936,587,798,286,1584,3461,1473,1319,1428,5000
10785,Tempelh.-Sch�neb.,1475,63,100,34,169,398,226,236,249,658
10787,Charlbg.-Wilmersd.,124,3,6,4,3,31,12,24,41,55
10787,Mitte,3283,150,105,22,500,995,388,408,715,1576
10787,Tempelh.-Sch�neb.,3827,206,329,115,452,1043,575,397,710,1787
10789,Charlbg.-Wilmersd.,3099,174,197,27,302,954,445,369,631,1450
10789,Tempelh.-Sch�neb.,2185,97,145,61,193,619,273,316,481,1044
10823,Tempelh.-Sch�neb.,9156,554,552,196,854,2815,1647,1278,1260,4656
10825,Charlbg.-Wilmersd.,303,15,19,13,12,63,65,37,79,152
10825,Tempelh.-Sch�neb.,10355,536,675,217,1002,2805,1630,1358,2132,5275
10827,Tempelh.-Sch�neb.,16205,953,1103,358,1996,5583,2275,1999,1938,7822
10829,Tempelh.-Sch�neb.,14720,861,929,256,1546,5261,2507,1878,1482,7321
10961,Friedrichsh.-Kreuzb.,20122,1184,1228,412,2455,7565,3041,2313,1924,9773
10963,Friedrichsh.-Kreuzb.,13826,880,1168,371,1967,4730,1929,1393,1388,6470
10963,Mitte,245,36,9,4,31,54,47,36,28,128
10965,Friedrichsh.-Kreuzb.,18982,1158,1338,383,1827,6713,3066,2470,2027,9355
10965,Tempelh.-Sch�neb.,2099,184,211,46,242,631,399,220,166,1034
10967,Friedrichsh.-Kreuzb.,19080,1252,1441,393,1891,7282,2847,2149,1825,9454
10967,Neuk�lln,2096,130,144,30,230,815,298,232,217,1021
10969,Friedrichsh.-Kreuzb.,28128,1972,2936,969,3611,8103,3979,2754,3804,13901
10997,Friedrichsh.-Kreuzb.,26552,1555,1871,628,2879,10367,3995,2793,2464,12786
10999,Friedrichsh.-Kreuzb.,26134,1494,1989,623,2955,9763,4089,2770,2451,12644
12043,Neuk�lln,15983,1074,1116,305,1837,7000,1818,1420,1413,7669
12045,Neuk�lln,16535,1052,1008,273,1825,7425,1993,1368,1591,8124
12047,Neuk�lln,15998,1021,991,246,1353,7241,2324,1482,1340,8049
12049,Neuk�lln,20905,1253,1241,394,2229,9391,2677,1964,1756,9923
12051,Neuk�lln,26552,1683,2140,688,3558,10290,3198,2238,2757,12903
12053,Neuk�lln,18901,1107,1482,496,2088,7338,2422,1802,2166,9297
12055,Neuk�lln,15496,972,1017,347,2055,6619,1840,1386,1260,7288
12057,Neuk�lln,16508,1540,1987,567,2219,4257,2167,1591,2180,8127
12059,Neuk�lln,19164,1296,1402,391,2132,7602,2368,1801,2172,9481
12099,Tempelh.-Sch�neb.,16054,1042,1134,322,2058,5037,2140,1770,2551,8045
12101,Tempelh.-Sch�neb.,16705,961,1326,429,1702,4189,2601,2109,3388,8604
12103,Tempelh.-Sch�neb.,20775,1215,1334,386,2106,6117,2948,2618,4051,10900
12105,Tempelh.-Sch�neb.,24435,1404,1580,504,2412,6208,3469,3219,5639,12698
12107,Neuk�lln,238,12,15,9,21,74,38,25,44,121
12107,Tempelh.-Sch�neb.,21293,997,1463,507,1948,4473,3005,2715,6185,11104
12109,Tempelh.-Sch�neb.,15847,838,974,338,1520,3749,2248,2181,3999,8331
12157,Steglitz-Zehlend.,7690,451,475,127,693,2209,1162,1036,1537,4154
12157,Tempelh.-Sch�neb.,12368,782,940,309,1431,3568,1941,1533,1864,6369
12159,Tempelh.-Sch�neb.,15518,827,1246,407,1541,3581,2464,2252,3200,8330
12161,Steglitz-Zehlend.,1664,93,87,32,166,511,240,254,281,899
12161,Tempelh.-Sch�neb.,16459,870,1297,420,1529,4092,2801,2388,3062,8700
12163,Steglitz-Zehlend.,19617,1093,1272,411,1892,5073,2911,2626,4339,10479
12163,Tempelh.-Sch�neb.,406,18,21,6,62,117,55,66,61,215
12165,Steglitz-Zehlend.,4899,274,357,150,516,1209,745,654,994,2512
12167,Steglitz-Zehlend.,20244,1090,1252,388,1972,5349,3006,2641,4546,10855
12169,Steglitz-Zehlend.,17745,900,1202,364,1733,4419,2752,2334,4041,9288
12203,Steglitz-Zehlend.,22033,1119,1728,590,2092,4851,3578,3008,5067,11479
12205,Steglitz-Zehlend.,16063,775,1655,511,1278,2984,2735,2070,4055,8462
12207,Steglitz-Zehlend.,23489,1282,1823,559,2360,4850,3319,2883,6413,12301
12209,Steglitz-Zehlend.,15794,775,1267,482,1256,2785,2458,2226,4545,8413
12247,Steglitz-Zehlend.,20826,1084,1360,459,1762,4683,2963,2823,5692,11021
12249,Steglitz-Zehlend.,23890,1285,1686,532,2382,5247,3702,3092,5964,12634
12249,Tempelh.-Sch�neb.,710,31,61,21,74,168,90,107,158,319
12277,Tempelh.-Sch�neb.,14653,880,1371,418,1407,3017,2180,1829,3551,7382
12279,Tempelh.-Sch�neb.,17607,1014,1425,446,1582,3760,2185,2171,5024,9291
12305,Tempelh.-Sch�neb.,20981,996,1550,614,1651,3840,3272,2896,6162,11011
12307,Tempelh.-Sch�neb.,12238,609,937,347,1021,2133,2051,1794,3346,6359
12309,Tempelh.-Sch�neb.,17884,1146,1717,530,1659,3541,2625,2322,4344,9185
12347,Neuk�lln,20149,1311,1638,500,2215,5274,2937,2514,3760,10174
12349,Neuk�lln,22953,1098,1717,592,2255,4455,3478,3122,6236,11840
12351,Neuk�lln,20658,1068,1583,545,1943,3920,2809,2697,6093,10857
12353,Neuk�lln,33487,2115,2713,901,3413,7204,4328,4051,8762,17454
12355,Neuk�lln,28177,1524,2260,839,2552,5313,4534,4034,7121,14558
12357,Neuk�lln,14809,754,1007,445,1365,2639,2437,2161,4001,7440
12359,Neuk�lln,20624,1251,1446,520,1942,4651,2983,2868,4963,10715
12435,Treptow-K�penick,18594,1351,1391,345,1365,6976,2817,1712,2637,9349
12437,Treptow-K�penick,23351,1232,1190,359,2115,6936,3163,2495,5861,12049
12439,Treptow-K�penick,11655,752,788,208,1273,3584,1469,1201,2380,5791
12459,Treptow-K�penick,22296,1653,1531,502,2921,7967,2759,2071,2892,10906
12487,Treptow-K�penick,20179,1168,1446,455,1644,5089,3069,2517,4791,10391
12489,Treptow-K�penick,18725,1158,1155,339,2201,5795,2489,2059,3529,9362
12524,Treptow-K�penick,27716,1893,2612,795,2227,6575,4885,3931,4798,13970
12526,Treptow-K�penick,12164,683,968,295,867,2576,2176,1905,2694,6132
12527,Treptow-K�penick,10670,577,701,233,624,2367,1808,1510,2850,5448
12555,Treptow-K�penick,29616,1765,1899,606,2191,8012,4119,3787,7237,15448
12557,Treptow-K�penick,23537,1404,1719,504,1593,5747,3496,3281,5793,12073
12559,Treptow-K�penick,18356,812,1273,407,1041,3553,2571,2754,5945,9398
12587,Treptow-K�penick,18635,1013,1354,410,911,3955,2931,2346,5715,10048
12589,Treptow-K�penick,9499,487,776,226,499,1694,1677,1592,2548,4746
12619,Marzahn-Hellersd.,27879,1921,2130,597,2229,7689,3578,4639,5096,14361
12621,Marzahn-Hellersd.,17002,851,1272,451,908,3323,3173,3275,3749,8611
12623,Marzahn-Hellersd.,29519,1538,2279,716,1614,5867,5538,5651,6316,14752
12627,Marzahn-Hellersd.,39351,3163,3906,976,3800,11367,5601,5760,4778,19972
12629,Marzahn-Hellersd.,15049,1291,1487,388,1507,4372,2045,2145,1814,7589
12679,Marzahn-Hellersd.,28612,1684,2310,633,2363,7280,3066,4898,6378,14368
12681,Marzahn-Hellersd.,19054,1008,1329,386,1748,4969,2005,2702,4907,9301
12683,Marzahn-Hellersd.,26850,1347,1944,558,2003,5534,4343,4788,6333,13551
12685,Marzahn-Hellersd.,20444,1264,1519,483,1486,4901,2302,3188,5301,10355
12687,Marzahn-Hellersd.,18578,1260,1597,452,1419,4913,1794,3145,3998,9468
12689,Marzahn-Hellersd.,24343,1807,2501,703,2258,6675,3096,4205,3098,12033
13051,Lichtenberg,23047,1517,2028,558,1800,5592,2980,4449,4123,11522
13053,Lichtenberg,21278,1467,1763,429,1742,5278,2788,3461,4350,10679
13055,Lichtenberg,31503,2096,2335,755,2661,8986,4015,3847,6808,16168
13057,Lichtenberg,17211,1263,1628,453,1427,4695,2510,2965,2270,8625
13059,Lichtenberg,15887,1033,1408,384,1284,4024,2218,2903,2633,8206
13086,Pankow,28207,2075,2169,555,2444,9908,4250,2845,3961,14074
13088,Pankow,26352,1715,2169,555,2012,7762,4064,2866,5209,13680
13089,Pankow,7507,446,594,231,610,1643,1372,1129,1482,3595
13125,Pankow,36091,2630,3171,987,2727,9287,5138,4691,7460,18451
13127,Pankow,20804,1412,1953,624,1344,5060,3819,3050,3542,10582
13129,Pankow,6927,362,591,184,378,1311,1345,1168,1588,3482
13156,Pankow,30497,2040,2943,852,2226,7646,5363,3455,5972,15895
13158,Pankow,18309,1053,1551,552,1325,4055,3379,2611,3783,9427
13159,Pankow,2157,106,196,61,127,418,380,344,525,1048
13187,Pankow,34455,2667,3426,803,2379,10865,5437,3325,5553,18199
13189,Pankow,28108,1870,2110,554,2044,9442,4280,3083,4725,14703
13347,Mitte,31898,1893,2567,893,4834,10697,4053,2974,3987,15036
13349,Mitte,14586,763,827,246,1804,4277,1916,1709,3044,7284
13351,Mitte,16541,912,1107,314,2267,5170,2248,1940,2583,8114
13353,Mitte,29475,1692,1947,675,5263,11414,3567,2635,2282,13661
13355,Mitte,23710,1741,2468,735,2792,7011,3045,2391,3527,11760
13357,Mitte,30992,2157,2615,821,5129,11076,3954,2468,2772,14500
13359,Mitte,26967,1966,2436,761,4102,9163,3387,2375,2777,12804
13403,Reinickendorf,30748,1775,2252,687,3538,7755,4396,3880,6465,15355
13405,Mitte,485,25,50,22,64,109,83,91,41,217
13405,Reinickendorf,5551,516,568,174,778,1567,747,578,623,2610
13407,Mitte,3678,230,223,67,322,945,477,463,951,1982
13407,Reinickendorf,22906,1329,1592,443,2676,5756,3246,2956,4908,11725
13409,Mitte,2429,192,278,77,354,722,297,215,294,1122
13409,Reinickendorf,28856,1867,2267,734,3641,8237,4118,3438,4554,14263
13435,Reinickendorf,19307,1300,1836,687,1998,3800,2529,2193,4964,10041
13437,Reinickendorf,16069,900,1025,408,1574,3124,2404,2138,4496,8270
13439,Reinickendorf,22989,1887,2955,881,2431,5213,2779,2473,4370,11830
13465,Reinickendorf,17573,855,1590,575,1232,2479,2910,2480,5452,9124
13467,Reinickendorf,15904,773,1280,446,1153,2475,2567,2405,4805,8264
13469,Reinickendorf,17887,1050,1821,630,1680,3471,2791,2412,4032,9102
13503,Reinickendorf,17591,897,1390,551,1167,2784,2927,2934,4941,8991
13505,Reinickendorf,6585,293,499,246,477,964,1115,1006,1985,3364
13507,Reinickendorf,23755,1190,1402,526,2196,5601,3477,3080,6283,12100
13509,Reinickendorf,16901,810,1046,345,1574,3699,2799,2339,4289,8761
13581,Spandau,16492,872,1230,349,1989,3980,2271,2057,3744,8133
13583,Spandau,23394,1486,1830,557,2488,5896,3317,3068,4752,12129
13585,Spandau,24385,1652,2048,676,3008,6906,3468,2864,3763,12035
13587,Spandau,22209,1120,1554,513,2160,4957,3055,2928,5922,11489
13589,Spandau,23353,1482,2182,746,2239,4852,3169,2967,5716,12142
13591,Spandau,28299,1501,2526,886,2825,5446,4836,4006,6273,14564
13593,Spandau,23139,1782,2336,791,2424,5014,2855,2676,5261,11914
13595,Spandau,22306,1138,1440,491,2305,5335,3370,2925,5302,11472
13597,Spandau,10234,706,886,307,1176,2700,1518,1204,1737,5017
13599,Spandau,16171,1041,1374,438,1635,3974,2346,2083,3280,8370
13627,Charlbg.-Wilmersd.,19343,1158,1472,469,1938,4820,2700,2414,4372,9939
13629,Reinickendorf,872,30,55,12,51,135,136,139,314,426
13629,Spandau,12159,797,1036,318,1419,3185,1745,1435,2224,6094
14050,Charlbg.-Wilmersd.,11547,546,704,229,1070,2481,1619,1524,3374,6093
14052,Charlbg.-Wilmersd.,13422,570,889,316,1332,2831,1999,1613,3872,6804
14053,Charlbg.-Wilmersd.,199,14,40,9,6,42,34,30,24,100
14055,Charlbg.-Wilmersd.,11507,450,851,304,1292,2004,1660,1400,3546,5973
14057,Charlbg.-Wilmersd.,15365,700,973,326,1613,3898,2363,2102,3390,8008
14059,Charlbg.-Wilmersd.,22752,1216,1496,442,2635,6407,3334,2966,4256,11764
14089,Spandau,19996,1091,2043,701,1522,3274,3189,2919,5257,10081
14109,Steglitz-Zehlend.,11331,595,1059,333,762,1794,1878,1538,3372,5801
14129,Steglitz-Zehlend.,15528,710,1347,444,1812,2573,2319,1917,4406,8096
14163,Steglitz-Zehlend.,17530,850,1581,599,1480,2797,2846,2398,4979,9155
14165,Steglitz-Zehlend.,15502,722,1203,435,1283,2726,2379,2131,4623,8364
14167,Steglitz-Zehlend.,18760,1035,1587,615,1614,3651,3001,2440,4817,9715
14169,Steglitz-Zehlend.,18398,825,1566,557,1641,3054,3006,2446,5303,10085
14193,Charlbg.-Wilmersd.,17615,837,1191,338,1418,3546,2688,2408,5189,9319
14195,Charlbg.-Wilmersd.,1353,36,115,51,66,199,220,174,492,738
14195,Steglitz-Zehlend.,15530,790,1581,576,1439,2745,2577,1917,3905,8086
14197,Charlbg.-Wilmersd.,17931,788,1102,371,1395,3572,2891,2728,5084,9698
14197,Tempelh.-Sch�neb.,1348,78,73,21,201,329,209,189,248,717
14199,Charlbg.-Wilmersd.,15369,681,1157,362,1204,3056,2364,1975,4570,8303
14199,Steglitz-Zehlend.,43,0,0,0,6,18,3,7,9,19
diff --git a/figures/Crime in berlin.jpg b/figures/Crime in berlin.jpg
new file mode 100644
index 00000000..ad52b431
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diff --git a/figures/highest_crimes_top10_cities.png b/figures/highest_crimes_top10_cities.png
new file mode 100644
index 00000000..f288ea12
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diff --git a/figures/top_10_crimes.png b/figures/top_10_crimes.png
new file mode 100644
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diff --git a/notebooks/load_and_clean_data_carlos.ipynb b/notebooks/load_and_clean_data_carlos.ipynb
new file mode 100644
index 00000000..f7a854ff
--- /dev/null
+++ b/notebooks/load_and_clean_data_carlos.ipynb
@@ -0,0 +1,881 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "9860adcd-b1c3-402d-9d1b-42a6e52703fc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ae834ec7-a030-4b76-9a06-e1d663e27567",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file_path = r'C:\\Users\\Usuario\\Documents\\Ironhack\\Week4\\hp_project\\first_project\\data\\raw\\Population_Berlin.csv'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "19909fb7-1205-495d-89b4-64637c8f552a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "loaded data from: C:\\Users\\Usuario\\Documents\\Ironhack\\Week4\\hp_project\\first_project\\data\\raw\\Population_Berlin.csv\n"
+     ]
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(file_path, encoding='latin-1') # UTF-8 not accepted (probably Umlaut issue) - will proceed to clean data and convert / export into a new file under utf-8\n",
+    "\n",
+    "print(f\"loaded data from: {file_path}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "a7884035-4bf6-4bfa-9864-7c8137d4f410",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Postleitzah</th>\n",
+       "      <th>Bezirk</th>\n",
+       "      <th>Ins-\\ngesamt</th>\n",
+       "      <th>unter 6</th>\n",
+       "      <th>6 - 15</th>\n",
+       "      <th>15 - 18</th>\n",
+       "      <th>18 - 27</th>\n",
+       "      <th>27 - 45</th>\n",
+       "      <th>45 - 55</th>\n",
+       "      <th>55 - 65</th>\n",
+       "      <th>65 und\\nmehr</th>\n",
+       "      <th>Darunter\\nweiblich</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10115</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>26274</td>\n",
+       "      <td>1754</td>\n",
+       "      <td>2051</td>\n",
+       "      <td>473</td>\n",
+       "      <td>2461</td>\n",
+       "      <td>11595</td>\n",
+       "      <td>4253</td>\n",
+       "      <td>2041</td>\n",
+       "      <td>1646</td>\n",
+       "      <td>12818</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>10117</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>15531</td>\n",
+       "      <td>782</td>\n",
+       "      <td>881</td>\n",
+       "      <td>250</td>\n",
+       "      <td>1558</td>\n",
+       "      <td>5346</td>\n",
+       "      <td>2342</td>\n",
+       "      <td>1854</td>\n",
+       "      <td>2518</td>\n",
+       "      <td>7489</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>10119</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>15064</td>\n",
+       "      <td>1014</td>\n",
+       "      <td>1087</td>\n",
+       "      <td>213</td>\n",
+       "      <td>1319</td>\n",
+       "      <td>6650</td>\n",
+       "      <td>2543</td>\n",
+       "      <td>1158</td>\n",
+       "      <td>1080</td>\n",
+       "      <td>7489</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>10119</td>\n",
+       "      <td>Pankow</td>\n",
+       "      <td>4606</td>\n",
+       "      <td>336</td>\n",
+       "      <td>426</td>\n",
+       "      <td>118</td>\n",
+       "      <td>423</td>\n",
+       "      <td>1753</td>\n",
+       "      <td>991</td>\n",
+       "      <td>349</td>\n",
+       "      <td>210</td>\n",
+       "      <td>2258</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>10178</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>14385</td>\n",
+       "      <td>692</td>\n",
+       "      <td>714</td>\n",
+       "      <td>203</td>\n",
+       "      <td>1588</td>\n",
+       "      <td>5100</td>\n",
+       "      <td>1856</td>\n",
+       "      <td>1473</td>\n",
+       "      <td>2759</td>\n",
+       "      <td>6953</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>213</th>\n",
+       "      <td>14195</td>\n",
+       "      <td>Steglitz-Zehlend.</td>\n",
+       "      <td>15530</td>\n",
+       "      <td>790</td>\n",
+       "      <td>1581</td>\n",
+       "      <td>576</td>\n",
+       "      <td>1439</td>\n",
+       "      <td>2745</td>\n",
+       "      <td>2577</td>\n",
+       "      <td>1917</td>\n",
+       "      <td>3905</td>\n",
+       "      <td>8086</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>214</th>\n",
+       "      <td>14197</td>\n",
+       "      <td>Charlbg.-Wilmersd.</td>\n",
+       "      <td>17931</td>\n",
+       "      <td>788</td>\n",
+       "      <td>1102</td>\n",
+       "      <td>371</td>\n",
+       "      <td>1395</td>\n",
+       "      <td>3572</td>\n",
+       "      <td>2891</td>\n",
+       "      <td>2728</td>\n",
+       "      <td>5084</td>\n",
+       "      <td>9698</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215</th>\n",
+       "      <td>14197</td>\n",
+       "      <td>Tempelh.-Schšneb.</td>\n",
+       "      <td>1348</td>\n",
+       "      <td>78</td>\n",
+       "      <td>73</td>\n",
+       "      <td>21</td>\n",
+       "      <td>201</td>\n",
+       "      <td>329</td>\n",
+       "      <td>209</td>\n",
+       "      <td>189</td>\n",
+       "      <td>248</td>\n",
+       "      <td>717</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>216</th>\n",
+       "      <td>14199</td>\n",
+       "      <td>Charlbg.-Wilmersd.</td>\n",
+       "      <td>15369</td>\n",
+       "      <td>681</td>\n",
+       "      <td>1157</td>\n",
+       "      <td>362</td>\n",
+       "      <td>1204</td>\n",
+       "      <td>3056</td>\n",
+       "      <td>2364</td>\n",
+       "      <td>1975</td>\n",
+       "      <td>4570</td>\n",
+       "      <td>8303</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>217</th>\n",
+       "      <td>14199</td>\n",
+       "      <td>Steglitz-Zehlend.</td>\n",
+       "      <td>43</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>18</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9</td>\n",
+       "      <td>19</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>218 rows × 12 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Postleitzah              Bezirk  Ins-\\ngesamt  unter 6   6 - 15  15 - 18  \\\n",
+       "0          10115               Mitte         26274     1754     2051      473   \n",
+       "1          10117               Mitte         15531      782      881      250   \n",
+       "2          10119               Mitte         15064     1014     1087      213   \n",
+       "3          10119              Pankow          4606      336      426      118   \n",
+       "4          10178               Mitte         14385      692      714      203   \n",
+       "..           ...                 ...           ...      ...      ...      ...   \n",
+       "213        14195   Steglitz-Zehlend.         15530      790     1581      576   \n",
+       "214        14197  Charlbg.-Wilmersd.         17931      788     1102      371   \n",
+       "215        14197   Tempelh.-Schšneb.          1348       78       73       21   \n",
+       "216        14199  Charlbg.-Wilmersd.         15369      681     1157      362   \n",
+       "217        14199   Steglitz-Zehlend.            43        0        0        0   \n",
+       "\n",
+       "     18 - 27  27 - 45  45 - 55  55 - 65  65 und\\nmehr  Darunter\\nweiblich  \n",
+       "0       2461    11595     4253     2041          1646               12818  \n",
+       "1       1558     5346     2342     1854          2518                7489  \n",
+       "2       1319     6650     2543     1158          1080                7489  \n",
+       "3        423     1753      991      349           210                2258  \n",
+       "4       1588     5100     1856     1473          2759                6953  \n",
+       "..       ...      ...      ...      ...           ...                 ...  \n",
+       "213     1439     2745     2577     1917          3905                8086  \n",
+       "214     1395     3572     2891     2728          5084                9698  \n",
+       "215      201      329      209      189           248                 717  \n",
+       "216     1204     3056     2364     1975          4570                8303  \n",
+       "217        6       18        3        7             9                  19  \n",
+       "\n",
+       "[218 rows x 12 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "fc25c6a8-90e5-4748-8da1-af816f089a8f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Mitte',\n",
+       " 'Pankow',\n",
+       " 'Friedrichsh.-Kreuzb.',\n",
+       " 'Lichtenberg',\n",
+       " 'Charlbg.-Wilmersd.',\n",
+       " 'Tempelh.-Sch\\x9aneb.',\n",
+       " 'Neuk\\x9alln',\n",
+       " 'Steglitz-Zehlend.',\n",
+       " 'Treptow-K\\x9apenick',\n",
+       " 'Marzahn-Hellersd.',\n",
+       " 'Reinickendorf',\n",
+       " 'Spandau']"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "list(df['Bezirk'].unique()) # Found the problem with the enconding and as expected it was the umlaut"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "e21121df-6247-4892-99d0-55252ed3f225",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['postal_code',\n",
+       " 'district',\n",
+       " 'total',\n",
+       " 'age_under_6',\n",
+       " 'age_6_to_15',\n",
+       " 'age_15_to_18',\n",
+       " 'age_18_to_27',\n",
+       " 'age_27_to_45',\n",
+       " 'age_45_to_55',\n",
+       " 'age_55_to_65',\n",
+       " 'age_65_plus',\n",
+       " 'female_total']"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Data cleaning \n",
+    "# 1. Translating column names from german to english\n",
+    "\n",
+    "eng_columns_names = [\n",
+    "    'postal_code',\n",
+    "    'district',\n",
+    "    'total',\n",
+    "    'age_under_6',\n",
+    "    'age_6_to_15',\n",
+    "    'age_15_to_18',\n",
+    "    'age_18_to_27',\n",
+    "    'age_27_to_45',\n",
+    "    'age_45_to_55',\n",
+    "    'age_55_to_65',\n",
+    "    'age_65_plus',\n",
+    "    'female_total'\n",
+    "]\n",
+    "\n",
+    "df.columns = eng_columns_names\n",
+    "\n",
+    "list(df.columns)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "24a87641-6c15-489c-9dcc-91a1dec16757",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Mitte',\n",
+       " 'Pankow',\n",
+       " 'Friedrichshain-Kreuzberg',\n",
+       " 'Lichtenberg',\n",
+       " 'Charlottenburg-Wilmersdorf',\n",
+       " 'Tempelhof-Schoeneberg',\n",
+       " 'Neukoelln',\n",
+       " 'Steglitz-Zehlendorf',\n",
+       " 'Treptow-Koepenick',\n",
+       " 'Marzahn-Hellersdorf',\n",
+       " 'Reinickendorf',\n",
+       " 'Spandau']"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 2. replacing district names umlaut with \"ae, oe and ue\" and removing abbreviations \n",
+    "\n",
+    "district_names = {\n",
+    "    'Sch\\x9aneb.': 'Schoeneberg',\n",
+    "    'Neuk\\x9alln': 'Neukoelln',\n",
+    "    'Treptow-K\\x9apenick': 'Treptow-Koepenick',\n",
+    "    'Charlbg.-Wilmersd.': 'Charlottenburg-Wilmersdorf',\n",
+    "    'Friedrichsh.-Kreuzb.': 'Friedrichshain-Kreuzberg',\n",
+    "    'Tempelh.-Sch\\x9aneb.': 'Tempelhof-Schoeneberg',\n",
+    "    'Steglitz-Zehlend.': 'Steglitz-Zehlendorf',\n",
+    "    'Marzahn-Hellersd.': 'Marzahn-Hellersdorf'\n",
+    "}\n",
+    "\n",
+    "# applying new names \n",
+    "df['district'] = (df['district'].astype(str).replace(district_names, regex=False))\n",
+    "\n",
+    "list(df['district'].unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "a8c3549b-5b7c-48da-85fd-25dbfa215174",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.int64(0)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 3. Checking duplicates\n",
+    "\n",
+    "df.duplicated().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "b7e096a4-599b-417f-bcad-39a73baf1823",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 4. exporting new csv file with utf-8 enconding\n",
+    "\n",
+    "population_berlin_clean = r'C:\\Users\\Usuario\\Documents\\Ironhack\\Week4\\hp_project\\first_project\\data\\clean\\population_berlin_clean.csv'\n",
+    "\n",
+    "#df.to_csv(population_berlin_clean, index=False, encoding='utf-8')\n",
+    "\n",
+    "#print(f\"CSV saved as UTF-8 at: {population_berlin_clean}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "1c4bbe78-f158-4254-866a-ac6a6b9c76c7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([10115, 10117, 10119, 10178, 10179, 10243, 10245, 10247, 10249,\n",
+       "       10315, 10317, 10318, 10319, 10365, 10367, 10369, 10405, 10407,\n",
+       "       10409, 10435, 10437, 10439, 10551, 10553, 10555, 10557, 10559,\n",
+       "       10585, 10587, 10589, 10623, 10625, 10627, 10629, 10707, 10709,\n",
+       "       10711, 10713, 10715, 10717, 10719, 10777, 10779, 10781, 10783,\n",
+       "       10785, 10787, 10789, 10823, 10825, 10827, 10829, 10961, 10963,\n",
+       "       10965, 10967, 10969, 10997, 10999, 12043, 12045, 12047, 12049,\n",
+       "       12051, 12053, 12055, 12057, 12059, 12099, 12101, 12103, 12105,\n",
+       "       12107, 12109, 12157, 12159, 12161, 12163, 12165, 12167, 12169,\n",
+       "       12203, 12205, 12207, 12209, 12247, 12249, 12277, 12279, 12305,\n",
+       "       12307, 12309, 12347, 12349, 12351, 12353, 12355, 12357, 12359,\n",
+       "       12435, 12437, 12439, 12459, 12487, 12489, 12524, 12526, 12527,\n",
+       "       12555, 12557, 12559, 12587, 12589, 12619, 12621, 12623, 12627,\n",
+       "       12629, 12679, 12681, 12683, 12685, 12687, 12689, 13051, 13053,\n",
+       "       13055, 13057, 13059, 13086, 13088, 13089, 13125, 13127, 13129,\n",
+       "       13156, 13158, 13159, 13187, 13189, 13347, 13349, 13351, 13353,\n",
+       "       13355, 13357, 13359, 13403, 13405, 13407, 13409, 13435, 13437,\n",
+       "       13439, 13465, 13467, 13469, 13503, 13505, 13507, 13509, 13581,\n",
+       "       13583, 13585, 13587, 13589, 13591, 13593, 13595, 13597, 13599,\n",
+       "       13627, 13629, 14050, 14052, 14053, 14055, 14057, 14059, 14089,\n",
+       "       14109, 14129, 14163, 14165, 14167, 14169, 14193, 14195, 14197,\n",
+       "       14199])"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['postal_code'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "ee6ee6da-beb7-4894-9260-2dd1cf749089",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_population = pd.read_csv(population_berlin_clean , encoding='utf-8')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "069af147-8074-4ec8-bce3-d91df50ee141",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>postal_code</th>\n",
+       "      <th>district</th>\n",
+       "      <th>total</th>\n",
+       "      <th>age_under_6</th>\n",
+       "      <th>age_6_to_15</th>\n",
+       "      <th>age_15_to_18</th>\n",
+       "      <th>age_18_to_27</th>\n",
+       "      <th>age_27_to_45</th>\n",
+       "      <th>age_45_to_55</th>\n",
+       "      <th>age_55_to_65</th>\n",
+       "      <th>age_65_plus</th>\n",
+       "      <th>female_total</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10115</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>26274</td>\n",
+       "      <td>1754</td>\n",
+       "      <td>2051</td>\n",
+       "      <td>473</td>\n",
+       "      <td>2461</td>\n",
+       "      <td>11595</td>\n",
+       "      <td>4253</td>\n",
+       "      <td>2041</td>\n",
+       "      <td>1646</td>\n",
+       "      <td>12818</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>10117</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>15531</td>\n",
+       "      <td>782</td>\n",
+       "      <td>881</td>\n",
+       "      <td>250</td>\n",
+       "      <td>1558</td>\n",
+       "      <td>5346</td>\n",
+       "      <td>2342</td>\n",
+       "      <td>1854</td>\n",
+       "      <td>2518</td>\n",
+       "      <td>7489</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>10119</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>15064</td>\n",
+       "      <td>1014</td>\n",
+       "      <td>1087</td>\n",
+       "      <td>213</td>\n",
+       "      <td>1319</td>\n",
+       "      <td>6650</td>\n",
+       "      <td>2543</td>\n",
+       "      <td>1158</td>\n",
+       "      <td>1080</td>\n",
+       "      <td>7489</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>10119</td>\n",
+       "      <td>Pankow</td>\n",
+       "      <td>4606</td>\n",
+       "      <td>336</td>\n",
+       "      <td>426</td>\n",
+       "      <td>118</td>\n",
+       "      <td>423</td>\n",
+       "      <td>1753</td>\n",
+       "      <td>991</td>\n",
+       "      <td>349</td>\n",
+       "      <td>210</td>\n",
+       "      <td>2258</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>10178</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>14385</td>\n",
+       "      <td>692</td>\n",
+       "      <td>714</td>\n",
+       "      <td>203</td>\n",
+       "      <td>1588</td>\n",
+       "      <td>5100</td>\n",
+       "      <td>1856</td>\n",
+       "      <td>1473</td>\n",
+       "      <td>2759</td>\n",
+       "      <td>6953</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>213</th>\n",
+       "      <td>14195</td>\n",
+       "      <td>Steglitz-Zehlendorf</td>\n",
+       "      <td>15530</td>\n",
+       "      <td>790</td>\n",
+       "      <td>1581</td>\n",
+       "      <td>576</td>\n",
+       "      <td>1439</td>\n",
+       "      <td>2745</td>\n",
+       "      <td>2577</td>\n",
+       "      <td>1917</td>\n",
+       "      <td>3905</td>\n",
+       "      <td>8086</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>214</th>\n",
+       "      <td>14197</td>\n",
+       "      <td>Charlottenburg-Wilmersdorf</td>\n",
+       "      <td>17931</td>\n",
+       "      <td>788</td>\n",
+       "      <td>1102</td>\n",
+       "      <td>371</td>\n",
+       "      <td>1395</td>\n",
+       "      <td>3572</td>\n",
+       "      <td>2891</td>\n",
+       "      <td>2728</td>\n",
+       "      <td>5084</td>\n",
+       "      <td>9698</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215</th>\n",
+       "      <td>14197</td>\n",
+       "      <td>Tempelhof-Schoeneberg</td>\n",
+       "      <td>1348</td>\n",
+       "      <td>78</td>\n",
+       "      <td>73</td>\n",
+       "      <td>21</td>\n",
+       "      <td>201</td>\n",
+       "      <td>329</td>\n",
+       "      <td>209</td>\n",
+       "      <td>189</td>\n",
+       "      <td>248</td>\n",
+       "      <td>717</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>216</th>\n",
+       "      <td>14199</td>\n",
+       "      <td>Charlottenburg-Wilmersdorf</td>\n",
+       "      <td>15369</td>\n",
+       "      <td>681</td>\n",
+       "      <td>1157</td>\n",
+       "      <td>362</td>\n",
+       "      <td>1204</td>\n",
+       "      <td>3056</td>\n",
+       "      <td>2364</td>\n",
+       "      <td>1975</td>\n",
+       "      <td>4570</td>\n",
+       "      <td>8303</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>217</th>\n",
+       "      <td>14199</td>\n",
+       "      <td>Steglitz-Zehlendorf</td>\n",
+       "      <td>43</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>18</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9</td>\n",
+       "      <td>19</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>218 rows × 12 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     postal_code                    district  total  age_under_6  age_6_to_15  \\\n",
+       "0          10115                       Mitte  26274         1754         2051   \n",
+       "1          10117                       Mitte  15531          782          881   \n",
+       "2          10119                       Mitte  15064         1014         1087   \n",
+       "3          10119                      Pankow   4606          336          426   \n",
+       "4          10178                       Mitte  14385          692          714   \n",
+       "..           ...                         ...    ...          ...          ...   \n",
+       "213        14195         Steglitz-Zehlendorf  15530          790         1581   \n",
+       "214        14197  Charlottenburg-Wilmersdorf  17931          788         1102   \n",
+       "215        14197       Tempelhof-Schoeneberg   1348           78           73   \n",
+       "216        14199  Charlottenburg-Wilmersdorf  15369          681         1157   \n",
+       "217        14199         Steglitz-Zehlendorf     43            0            0   \n",
+       "\n",
+       "     age_15_to_18  age_18_to_27  age_27_to_45  age_45_to_55  age_55_to_65  \\\n",
+       "0             473          2461         11595          4253          2041   \n",
+       "1             250          1558          5346          2342          1854   \n",
+       "2             213          1319          6650          2543          1158   \n",
+       "3             118           423          1753           991           349   \n",
+       "4             203          1588          5100          1856          1473   \n",
+       "..            ...           ...           ...           ...           ...   \n",
+       "213           576          1439          2745          2577          1917   \n",
+       "214           371          1395          3572          2891          2728   \n",
+       "215            21           201           329           209           189   \n",
+       "216           362          1204          3056          2364          1975   \n",
+       "217             0             6            18             3             7   \n",
+       "\n",
+       "     age_65_plus  female_total  \n",
+       "0           1646         12818  \n",
+       "1           2518          7489  \n",
+       "2           1080          7489  \n",
+       "3            210          2258  \n",
+       "4           2759          6953  \n",
+       "..           ...           ...  \n",
+       "213         3905          8086  \n",
+       "214         5084          9698  \n",
+       "215          248           717  \n",
+       "216         4570          8303  \n",
+       "217            9            19  \n",
+       "\n",
+       "[218 rows x 12 columns]"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_population"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "84e5c713-8e12-4e8e-8dba-768dfe2bc098",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "postal_code     0\n",
+       "district        0\n",
+       "total           0\n",
+       "age_under_6     0\n",
+       "age_6_to_15     0\n",
+       "age_15_to_18    0\n",
+       "age_18_to_27    0\n",
+       "age_27_to_45    0\n",
+       "age_45_to_55    0\n",
+       "age_55_to_65    0\n",
+       "age_65_plus     0\n",
+       "female_total    0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_population.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "097efcf8-1270-47dc-ba14-6af38c7f998e",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'mysql'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mModuleNotFoundError\u001b[39m                       Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[21]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mmysql\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mconnector\u001b[39;00m\n\u001b[32m      3\u001b[39m conn = mysql.connector.connect(\n\u001b[32m      4\u001b[39m     host=\u001b[33m\"\u001b[39m\u001b[33mlocalhost\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m      5\u001b[39m     user=\u001b[33m\"\u001b[39m\u001b[33mroot\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m      6\u001b[39m     password=\u001b[33m\"\u001b[39m\u001b[33myourpassword\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m      7\u001b[39m     database=\u001b[33m\"\u001b[39m\u001b[33mpopulation\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m      8\u001b[39m )\n\u001b[32m     10\u001b[39m cursor = conn.cursor()\n",
+      "\u001b[31mModuleNotFoundError\u001b[39m: No module named 'mysql'"
+     ]
+    }
+   ],
+   "source": [
+    "import mysql.connector\n",
+    "\n",
+    "conn = mysql.connector.connect(\n",
+    "    host=\"localhost\",\n",
+    "    user=\"root\",\n",
+    "    password=\"yourpassword\",\n",
+    "    database=\"population\"\n",
+    ")\n",
+    "\n",
+    "cursor = conn.cursor()\n",
+    "\n",
+    "for _, row in df.iterrows():\n",
+    "    sql = \"INSERT INTO my_table (col1, col2, col3) VALUES (%s, %s, %s)\"\n",
+    "    cursor.execute(sql, tuple(row))\n",
+    "\n",
+    "conn.commit()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ac294487-e795-44dc-9e1e-e79846d3eea6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "language": "python",
+   "name": "venv"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/load_and_clean_data_veerpal.ipynb b/notebooks/load_and_clean_data_veerpal.ipynb
new file mode 100644
index 00000000..328463ab
--- /dev/null
+++ b/notebooks/load_and_clean_data_veerpal.ipynb
@@ -0,0 +1,2171 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "9c657a12-9a8e-42de-902d-3a84ea4edf1f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Year</th>\n",
+       "      <th>District</th>\n",
+       "      <th>Code</th>\n",
+       "      <th>Location</th>\n",
+       "      <th>Robbery</th>\n",
+       "      <th>Street_robbery</th>\n",
+       "      <th>Injury</th>\n",
+       "      <th>Agg_assault</th>\n",
+       "      <th>Threat</th>\n",
+       "      <th>Theft</th>\n",
+       "      <th>Car</th>\n",
+       "      <th>From_car</th>\n",
+       "      <th>Bike</th>\n",
+       "      <th>Burglary</th>\n",
+       "      <th>Fire</th>\n",
+       "      <th>Arson</th>\n",
+       "      <th>Damage</th>\n",
+       "      <th>Graffiti</th>\n",
+       "      <th>Drugs</th>\n",
+       "      <th>Local</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>10111</td>\n",
+       "      <td>Tiergarten Süd</td>\n",
+       "      <td>70</td>\n",
+       "      <td>46</td>\n",
+       "      <td>586</td>\n",
+       "      <td>194</td>\n",
+       "      <td>118</td>\n",
+       "      <td>2263</td>\n",
+       "      <td>18</td>\n",
+       "      <td>328</td>\n",
+       "      <td>120</td>\n",
+       "      <td>68</td>\n",
+       "      <td>16</td>\n",
+       "      <td>4</td>\n",
+       "      <td>273</td>\n",
+       "      <td>26</td>\n",
+       "      <td>171</td>\n",
+       "      <td>1032</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>10112</td>\n",
+       "      <td>Regierungsviertel</td>\n",
+       "      <td>65</td>\n",
+       "      <td>29</td>\n",
+       "      <td>474</td>\n",
+       "      <td>123</td>\n",
+       "      <td>142</td>\n",
+       "      <td>3203</td>\n",
+       "      <td>10</td>\n",
+       "      <td>307</td>\n",
+       "      <td>170</td>\n",
+       "      <td>37</td>\n",
+       "      <td>10</td>\n",
+       "      <td>4</td>\n",
+       "      <td>380</td>\n",
+       "      <td>124</td>\n",
+       "      <td>98</td>\n",
+       "      <td>870</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>10113</td>\n",
+       "      <td>Alexanderplatz</td>\n",
+       "      <td>242</td>\n",
+       "      <td>136</td>\n",
+       "      <td>1541</td>\n",
+       "      <td>454</td>\n",
+       "      <td>304</td>\n",
+       "      <td>8988</td>\n",
+       "      <td>81</td>\n",
+       "      <td>792</td>\n",
+       "      <td>822</td>\n",
+       "      <td>275</td>\n",
+       "      <td>49</td>\n",
+       "      <td>27</td>\n",
+       "      <td>1538</td>\n",
+       "      <td>522</td>\n",
+       "      <td>435</td>\n",
+       "      <td>3108</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>10114</td>\n",
+       "      <td>Brunnenstraße Süd</td>\n",
+       "      <td>52</td>\n",
+       "      <td>25</td>\n",
+       "      <td>254</td>\n",
+       "      <td>60</td>\n",
+       "      <td>66</td>\n",
+       "      <td>1916</td>\n",
+       "      <td>86</td>\n",
+       "      <td>192</td>\n",
+       "      <td>396</td>\n",
+       "      <td>131</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>428</td>\n",
+       "      <td>122</td>\n",
+       "      <td>213</td>\n",
+       "      <td>752</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>10221</td>\n",
+       "      <td>Moabit West</td>\n",
+       "      <td>130</td>\n",
+       "      <td>51</td>\n",
+       "      <td>629</td>\n",
+       "      <td>185</td>\n",
+       "      <td>199</td>\n",
+       "      <td>2470</td>\n",
+       "      <td>94</td>\n",
+       "      <td>410</td>\n",
+       "      <td>325</td>\n",
+       "      <td>161</td>\n",
+       "      <td>42</td>\n",
+       "      <td>22</td>\n",
+       "      <td>516</td>\n",
+       "      <td>64</td>\n",
+       "      <td>259</td>\n",
+       "      <td>1403</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Year District   Code           Location  Robbery  Street_robbery  Injury  \\\n",
+       "0  2012    Mitte  10111     Tiergarten Süd       70              46     586   \n",
+       "1  2012    Mitte  10112  Regierungsviertel       65              29     474   \n",
+       "2  2012    Mitte  10113     Alexanderplatz      242             136    1541   \n",
+       "3  2012    Mitte  10114  Brunnenstraße Süd       52              25     254   \n",
+       "4  2012    Mitte  10221        Moabit West      130              51     629   \n",
+       "\n",
+       "   Agg_assault  Threat  Theft  Car  From_car  Bike  Burglary  Fire  Arson  \\\n",
+       "0          194     118   2263   18       328   120        68    16      4   \n",
+       "1          123     142   3203   10       307   170        37    10      4   \n",
+       "2          454     304   8988   81       792   822       275    49     27   \n",
+       "3           60      66   1916   86       192   396       131    14      5   \n",
+       "4          185     199   2470   94       410   325       161    42     22   \n",
+       "\n",
+       "   Damage  Graffiti  Drugs  Local  \n",
+       "0     273        26    171   1032  \n",
+       "1     380       124     98    870  \n",
+       "2    1538       522    435   3108  \n",
+       "3     428       122    213    752  \n",
+       "4     516        64    259   1403  "
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import re\n",
+    "\n",
+    "df = pd.read_csv(\"../data/raw/Berlin_crimes.csv\")  \n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "6b408580-599f-4471-a967-ecced40f7eb6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Year', 'District', 'Code', 'Location', 'Robbery', 'Street_robbery',\n",
+       "       'Injury', 'Agg_assault', 'Threat', 'Theft', 'Car', 'From_car', 'Bike',\n",
+       "       'Burglary', 'Fire', 'Arson', 'Damage', 'Graffiti', 'Drugs', 'Local'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "f02acbed-8caa-4fcb-9f39-b9b048e902d3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<bound method DataFrame.info of       Year       District    Code                                Location  \\\n",
+       "0     2012          Mitte   10111                          Tiergarten Süd   \n",
+       "1     2012          Mitte   10112                       Regierungsviertel   \n",
+       "2     2012          Mitte   10113                          Alexanderplatz   \n",
+       "3     2012          Mitte   10114                       Brunnenstraße Süd   \n",
+       "4     2012          Mitte   10221                             Moabit West   \n",
+       "...    ...            ...     ...                                     ...   \n",
+       "1195  2019  Reinickendorf  123012  Nord 2 - Waidmannslust/Wittenau/Lübars   \n",
+       "1196  2019  Reinickendorf  123021               MV 1 - Märkisches Viertel   \n",
+       "1197  2019  Reinickendorf  123022                 MV 2 - Rollbergsiedlung   \n",
+       "1198  2019  Reinickendorf  123043      West 3 - Borsigwalde/Freie Scholle   \n",
+       "1199  2019  Reinickendorf  129900           Bezirk (Rd), nicht zuzuordnen   \n",
+       "\n",
+       "      Robbery  Street_robbery  Injury  Agg_assault  Threat  Theft  Car  \\\n",
+       "0          70              46     586          194     118   2263   18   \n",
+       "1          65              29     474          123     142   3203   10   \n",
+       "2         242             136    1541          454     304   8988   81   \n",
+       "3          52              25     254           60      66   1916   86   \n",
+       "4         130              51     629          185     199   2470   94   \n",
+       "...       ...             ...     ...          ...     ...    ...  ...   \n",
+       "1195       34              19     372           85     123   1160   30   \n",
+       "1196       42              22     491          123     187   1100   51   \n",
+       "1197        6               4      84           19      34    293   13   \n",
+       "1198        8               4      95           18      43    492   21   \n",
+       "1199        3               2      14            7       4     59    0   \n",
+       "\n",
+       "      From_car  Bike  Burglary  Fire  Arson  Damage  Graffiti  Drugs  Local  \n",
+       "0          328   120        68    16      4     273        26    171   1032  \n",
+       "1          307   170        37    10      4     380       124     98    870  \n",
+       "2          792   822       275    49     27    1538       522    435   3108  \n",
+       "3          192   396       131    14      5     428       122    213    752  \n",
+       "4          410   325       161    42     22     516        64    259   1403  \n",
+       "...        ...   ...       ...   ...    ...     ...       ...    ...    ...  \n",
+       "1195       135   150        93    16      3     306        74    110    728  \n",
+       "1196       224    76        40    39     19     286        11     73    986  \n",
+       "1197        36    18        34     5      2     156        56     21    212  \n",
+       "1198        96    69        38     6      1      79         8     31    218  \n",
+       "1199         7    15         0     1      0       7         3      9     21  \n",
+       "\n",
+       "[1200 rows x 20 columns]>"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "424cadfd-0eef-4bcf-b1fd-a02a8ba26215",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Year              0\n",
+       "District          0\n",
+       "Code              0\n",
+       "Location          0\n",
+       "Robbery           0\n",
+       "Street_robbery    0\n",
+       "Injury            0\n",
+       "Agg_assault       0\n",
+       "Threat            0\n",
+       "Theft             0\n",
+       "Car               0\n",
+       "From_car          0\n",
+       "Bike              0\n",
+       "Burglary          0\n",
+       "Fire              0\n",
+       "Arson             0\n",
+       "Damage            0\n",
+       "Graffiti          0\n",
+       "Drugs             0\n",
+       "Local             0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "1e015d53-2043-403b-873d-5cdafa4d71b3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Code</th>\n",
+       "      <th>Robbery</th>\n",
+       "      <th>Street_robbery</th>\n",
+       "      <th>Injury</th>\n",
+       "      <th>Agg_assault</th>\n",
+       "      <th>Threat</th>\n",
+       "      <th>Theft</th>\n",
+       "      <th>Car</th>\n",
+       "      <th>From_car</th>\n",
+       "      <th>Bike</th>\n",
+       "      <th>Burglary</th>\n",
+       "      <th>Fire</th>\n",
+       "      <th>Arson</th>\n",
+       "      <th>Damage</th>\n",
+       "      <th>Graffiti</th>\n",
+       "      <th>Drugs</th>\n",
+       "      <th>Local</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.00000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "      <td>1200.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>2015.500000</td>\n",
+       "      <td>67022.786667</td>\n",
+       "      <td>34.233333</td>\n",
+       "      <td>18.744167</td>\n",
+       "      <td>276.334167</td>\n",
+       "      <td>68.750000</td>\n",
+       "      <td>92.583333</td>\n",
+       "      <td>1492.307500</td>\n",
+       "      <td>42.505833</td>\n",
+       "      <td>215.275000</td>\n",
+       "      <td>197.706667</td>\n",
+       "      <td>69.489167</td>\n",
+       "      <td>15.990833</td>\n",
+       "      <td>6.281667</td>\n",
+       "      <td>281.58250</td>\n",
+       "      <td>62.884167</td>\n",
+       "      <td>97.859167</td>\n",
+       "      <td>662.415833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>2.292243</td>\n",
+       "      <td>34813.745984</td>\n",
+       "      <td>37.093447</td>\n",
+       "      <td>22.171153</td>\n",
+       "      <td>243.697780</td>\n",
+       "      <td>71.113959</td>\n",
+       "      <td>68.455264</td>\n",
+       "      <td>1364.442501</td>\n",
+       "      <td>28.710164</td>\n",
+       "      <td>150.031343</td>\n",
+       "      <td>178.704771</td>\n",
+       "      <td>57.866415</td>\n",
+       "      <td>12.681934</td>\n",
+       "      <td>5.186014</td>\n",
+       "      <td>203.01033</td>\n",
+       "      <td>62.292705</td>\n",
+       "      <td>174.802343</td>\n",
+       "      <td>534.787220</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>2012.000000</td>\n",
+       "      <td>10111.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>17.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>10.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>2013.750000</td>\n",
+       "      <td>40101.000000</td>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>108.000000</td>\n",
+       "      <td>22.000000</td>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>639.750000</td>\n",
+       "      <td>22.000000</td>\n",
+       "      <td>109.000000</td>\n",
+       "      <td>76.000000</td>\n",
+       "      <td>28.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>133.00000</td>\n",
+       "      <td>20.000000</td>\n",
+       "      <td>18.000000</td>\n",
+       "      <td>269.250000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>2015.500000</td>\n",
+       "      <td>70151.500000</td>\n",
+       "      <td>22.000000</td>\n",
+       "      <td>11.000000</td>\n",
+       "      <td>204.500000</td>\n",
+       "      <td>44.000000</td>\n",
+       "      <td>75.000000</td>\n",
+       "      <td>1100.000000</td>\n",
+       "      <td>37.000000</td>\n",
+       "      <td>186.000000</td>\n",
+       "      <td>143.000000</td>\n",
+       "      <td>59.000000</td>\n",
+       "      <td>13.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>244.00000</td>\n",
+       "      <td>45.000000</td>\n",
+       "      <td>40.000000</td>\n",
+       "      <td>553.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2017.250000</td>\n",
+       "      <td>90520.000000</td>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>23.000000</td>\n",
+       "      <td>361.000000</td>\n",
+       "      <td>86.000000</td>\n",
+       "      <td>124.000000</td>\n",
+       "      <td>2019.750000</td>\n",
+       "      <td>57.000000</td>\n",
+       "      <td>291.000000</td>\n",
+       "      <td>286.000000</td>\n",
+       "      <td>96.000000</td>\n",
+       "      <td>22.000000</td>\n",
+       "      <td>9.000000</td>\n",
+       "      <td>382.00000</td>\n",
+       "      <td>87.000000</td>\n",
+       "      <td>86.000000</td>\n",
+       "      <td>870.250000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>2019.000000</td>\n",
+       "      <td>129900.000000</td>\n",
+       "      <td>242.000000</td>\n",
+       "      <td>169.000000</td>\n",
+       "      <td>1966.000000</td>\n",
+       "      <td>500.000000</td>\n",
+       "      <td>420.000000</td>\n",
+       "      <td>12479.000000</td>\n",
+       "      <td>197.000000</td>\n",
+       "      <td>876.000000</td>\n",
+       "      <td>1288.000000</td>\n",
+       "      <td>446.000000</td>\n",
+       "      <td>74.000000</td>\n",
+       "      <td>31.000000</td>\n",
+       "      <td>1538.00000</td>\n",
+       "      <td>530.000000</td>\n",
+       "      <td>1949.000000</td>\n",
+       "      <td>3813.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              Year           Code      Robbery  Street_robbery       Injury  \\\n",
+       "count  1200.000000    1200.000000  1200.000000     1200.000000  1200.000000   \n",
+       "mean   2015.500000   67022.786667    34.233333       18.744167   276.334167   \n",
+       "std       2.292243   34813.745984    37.093447       22.171153   243.697780   \n",
+       "min    2012.000000   10111.000000     0.000000        0.000000     0.000000   \n",
+       "25%    2013.750000   40101.000000    10.000000        5.000000   108.000000   \n",
+       "50%    2015.500000   70151.500000    22.000000       11.000000   204.500000   \n",
+       "75%    2017.250000   90520.000000    42.000000       23.000000   361.000000   \n",
+       "max    2019.000000  129900.000000   242.000000      169.000000  1966.000000   \n",
+       "\n",
+       "       Agg_assault       Threat         Theft          Car     From_car  \\\n",
+       "count  1200.000000  1200.000000   1200.000000  1200.000000  1200.000000   \n",
+       "mean     68.750000    92.583333   1492.307500    42.505833   215.275000   \n",
+       "std      71.113959    68.455264   1364.442501    28.710164   150.031343   \n",
+       "min       0.000000     0.000000     17.000000     0.000000     1.000000   \n",
+       "25%      22.000000    42.000000    639.750000    22.000000   109.000000   \n",
+       "50%      44.000000    75.000000   1100.000000    37.000000   186.000000   \n",
+       "75%      86.000000   124.000000   2019.750000    57.000000   291.000000   \n",
+       "max     500.000000   420.000000  12479.000000   197.000000   876.000000   \n",
+       "\n",
+       "              Bike     Burglary         Fire        Arson      Damage  \\\n",
+       "count  1200.000000  1200.000000  1200.000000  1200.000000  1200.00000   \n",
+       "mean    197.706667    69.489167    15.990833     6.281667   281.58250   \n",
+       "std     178.704771    57.866415    12.681934     5.186014   203.01033   \n",
+       "min       0.000000     0.000000     0.000000     0.000000     0.00000   \n",
+       "25%      76.000000    28.000000     7.000000     3.000000   133.00000   \n",
+       "50%     143.000000    59.000000    13.000000     5.000000   244.00000   \n",
+       "75%     286.000000    96.000000    22.000000     9.000000   382.00000   \n",
+       "max    1288.000000   446.000000    74.000000    31.000000  1538.00000   \n",
+       "\n",
+       "          Graffiti        Drugs        Local  \n",
+       "count  1200.000000  1200.000000  1200.000000  \n",
+       "mean     62.884167    97.859167   662.415833  \n",
+       "std      62.292705   174.802343   534.787220  \n",
+       "min       0.000000     0.000000    10.000000  \n",
+       "25%      20.000000    18.000000   269.250000  \n",
+       "50%      45.000000    40.000000   553.500000  \n",
+       "75%      87.000000    86.000000   870.250000  \n",
+       "max     530.000000  1949.000000  3813.000000  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "337ccda2-8827-4330-9ca7-0f060259b0d7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Tiergarten Süd', 'Regierungsviertel', 'Alexanderplatz',\n",
+       "       'Brunnenstraße Süd', 'Moabit West', 'Moabit Ost', 'Osloer Straße',\n",
+       "       'Brunnenstraße Nord', 'Parkviertel', 'Wedding Zentrum',\n",
+       "       'Bezirk (Mi), nicht zuzuordnen', 'Südliche Friedrichstadt',\n",
+       "       'Tempelhofer Vorstadt', 'nördliche Luisenstadt',\n",
+       "       'südliche Luisenstadt', 'Karl-Marx-Allee-Nord',\n",
+       "       'Karl-Marx-Allee-Süd', 'Frankfurter Allee Nord',\n",
+       "       'Frankfurter Allee Süd FK', 'Bezirk (Fh-Kb), nicht zuzuordnen',\n",
+       "       'Buch', 'Blankenfelde/Niederschönhausen', 'Buchholz', 'Karow',\n",
+       "       'Blankenburg/Heinersdorf/Märchenland',\n",
+       "       'Schönholz/Wilhelmsruh/Rosenthal', 'Pankow Zentrum', 'Pankow Süd',\n",
+       "       'Weißensee', 'Weißensee Ost', 'Prenzlauer Berg Nordwest',\n",
+       "       'Prenzlauer Berg Nord', 'Helmholtzplatz', 'Prenzlauer Berg Ost',\n",
+       "       'Prenzlauer Berg Südwest', 'Prenzlauer Berg Süd',\n",
+       "       'Bezirk (Pk), nicht zuzuordnen', 'Charlottenburg-Nord',\n",
+       "       'Heerstrasse', 'Westend', 'Schloß Charlottenburg',\n",
+       "       'Mierendorffplatz', 'Otto-Suhr-Allee', 'Neue Kantstraße',\n",
+       "       'Kantstraße', 'Kurfürstendamm', 'Halensee', 'Grunewald',\n",
+       "       'Schmargendorf', 'Wiesbadener Straße', 'Düsseldorfer Straße',\n",
+       "       'Barstraße', 'Volkspark Wilmersdorf', 'Forst Grunewald',\n",
+       "       'Bezirk (Ch-Wi), nicht zuzuordnen', 'Hakenfelde',\n",
+       "       'Falkenhagener Feld', 'Spandau Mitte', 'Brunsbütteler Damm',\n",
+       "       'Heerstraße Nord', 'Wilhelmstadt', 'Haselhorst', 'Siemensstadt',\n",
+       "       'Gatow/Kladow', 'Bezirk (Sp), nicht zuzuordnen', 'Schloßstr.',\n",
+       "       'Albrechtstr.', 'Lankwitz', 'Ostpreußendamm', 'Teltower Damm',\n",
+       "       'Drakestr.', 'Zehlendorf Südwest', 'Zehlendorf Nord',\n",
+       "       'Bezirk (St-Zd), nicht zuzuordnen', 'Schöneberg-Nord',\n",
+       "       'Schöneberg-Süd', 'Friedenau', 'Tempelhof', 'Mariendorf',\n",
+       "       'Marienfelde', 'Lichtenrade', 'Bezirk (Th-Sb), nicht zuzuordnen',\n",
+       "       'Schillerpromenade', 'Neuköllner Mitte/Zentrum', 'Reuterstraße',\n",
+       "       'Rixdorf', 'Köllnische Heide', 'Britz', 'Buckow', 'Gropiusstadt',\n",
+       "       'Buckow Nord', 'Rudow', 'Bezirk (Nk), nicht zuzuordnen',\n",
+       "       'Alt-Treptow', 'Plänterwald', 'Baumschulenweg', 'Johannisthal',\n",
+       "       'Oberschöneweide', 'Niederschöneweide', 'Adlershof',\n",
+       "       'Köllnische Vorstadt/Spindlersfeld', 'Altglienicke', 'Bohnsdorf',\n",
+       "       'Grünau', 'Schmöckwitz/Karolinenhof/Rauchfangswerder',\n",
+       "       'Köpenick-Süd', 'Allende-Viertel', 'Altstadt-Kietz', 'Müggelheim',\n",
+       "       'Friedrichshagen', 'Rahnsdorf/Hessenwinkel', 'Dammvorstadt',\n",
+       "       'Köpenick-Nord', 'Bezirk (Tp-Kp), nicht zuzuordnen',\n",
+       "       'Marzahn-Nord', 'Marzahn-Mitte', 'Marzahn-Süd', 'Hellersdorf-Nord',\n",
+       "       'Hellersdorf-Ost', 'Hellersdorf-Süd', 'Biesdorf', 'Kaulsdorf',\n",
+       "       'Mahlsdorf', 'Bezirk (Mz-Hd), nicht zuzuordnen',\n",
+       "       'Malchow, Wartenberg und Falkenberg', 'Neu-Hohenschönhausen Nord',\n",
+       "       'Neu-Hohenschönhausen Süd', 'Alt-Hohenschönhausen Nord',\n",
+       "       'Alt-Hohenschönhausen Süd', 'Fennpfuhl', 'Alt-Lichtenberg',\n",
+       "       'Frankfurter Allee Süd', 'Neu Lichtenberg', 'Friedrichsfelde Nord',\n",
+       "       'Friedrichsfelde Süd', 'Rummelsburger Bucht', 'Karlshorst',\n",
+       "       'Bezirk (Lb), nicht zuzuordnen', 'Ost 1 - Reginhardstr.',\n",
+       "       'Ost 2 - Alt-Reinickendorf', 'West 1 - Tegel-Süd/Flughafensee',\n",
+       "       'West 4 - Auguste-Viktoria-Allee', 'West 5 - Tegel/Tegeler Forst',\n",
+       "       'West 2 - Heiligensee/Konradshöhe', 'Nord 1 - Frohnau/Hermsdorf',\n",
+       "       'Nord 2 - Waidmannslust/Wittenau/Lübars',\n",
+       "       'MV 1 - Märkisches Viertel', 'MV 2 - Rollbergsiedlung',\n",
+       "       'West 3 - Borsigwalde/Freie Scholle',\n",
+       "       'Bezirk (Rd), nicht zuzuordnen'], dtype=object)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['Location'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "51ef5127-51ad-41b9-9197-755356075551",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Mitte', 'Friedrichshain-Kreuzberg', 'Pankow',\n",
+       "       'Charlottenburg-Wilmersdorf', 'Spandau', 'Steglitz-Zehlendorf',\n",
+       "       'Tempelhof-Schöneberg', 'Neukölln', 'Treptow-Köpenick',\n",
+       "       'Marzahn-Hellersdorf', 'Lichtenberg', 'Reinickendorf'],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['District'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "a81d4b4e-be16-420d-9b5b-a9ad3588cc30",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "150"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['Location'].nunique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "5581a04b-4662-4c5f-b49e-59e80954d221",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "12"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['District'].nunique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "06cf743e-e2de-4cc1-9a72-359b3d5be1d3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Year              0\n",
+      "District          0\n",
+      "Code              0\n",
+      "Location          0\n",
+      "Robbery           0\n",
+      "Street_robbery    0\n",
+      "Injury            0\n",
+      "Agg_assault       0\n",
+      "Threat            0\n",
+      "Theft             0\n",
+      "Car               0\n",
+      "From_car          0\n",
+      "Bike              0\n",
+      "Burglary          0\n",
+      "Fire              0\n",
+      "Arson             0\n",
+      "Damage            0\n",
+      "Graffiti          0\n",
+      "Drugs             0\n",
+      "Local             0\n",
+      "dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Check missing values\n",
+    "print(df.isnull().sum())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "8c368cd8-f952-44f3-bb08-6301d6bd62b1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_cleaned = df.copy()\n",
+    "for col in ['District', 'Location']:\n",
+    "    df[col] = df[col].astype(str).str.strip().str.title()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "e50dfdea-88fb-43f0-bbd2-3de910158d12",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# clean string columns\n",
+    "str_cols = ['Location']\n",
+    "for col in str_cols:\n",
+    "    if col in df.columns:\n",
+    "        df_cleaned[col] = df_cleaned[col].astype(str).str.strip()\n",
+    "        df_cleaned[col] = df_cleaned[col].str.replace(r'\\s+', ' ', regex=True)\n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "1c24d513-5c7d-42ee-851e-35ac77d22f1a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "#Remove special characters\n",
+    "df_cleaned['Location'] = df_cleaned['Location'].str.replace('/', ',')\n",
+    "df_cleaned = df_cleaned.assign(Location=df_cleaned['Location'].str.split(',')).explode('Location')\n",
+    "df_cleaned['Location'] = df_cleaned['Location'].str.strip()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "a43fab6d-0804-4cff-a7a8-058d037a3774",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Year', 'District', 'Code', 'Location', 'Robbery', 'Street_robbery',\n",
+       "       'Injury', 'Agg_assault', 'Threat', 'Theft', 'Car', 'From_car', 'Bike',\n",
+       "       'Burglary', 'Fire', 'Arson', 'Damage', 'Graffiti', 'Drugs', 'Local'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_cleaned.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "1c24d513-5c7d-42ee-851e-35ac77d22f1a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "#Remove special characters\n",
+    "df['Location'] = df['Location'].str.replace('/', ',')\n",
+    "df = df.assign(Location=df['Location'].str.split(',')).explode('Location')\n",
+    "df['Location'] = df['Location'].str.strip()\n",
+    "\n",
+    "# 1. remove noise labels\n",
+    "df['Location'] = df['Location'].replace(r'Bezirk.*Nicht Zuzuordnen', None, regex=True)\n",
+    "\n",
+    "# 2. remove street names\n",
+    "df = df[~df['Location'].str.contains(r'\\bstr\\.', case=False, na=False)]\n",
+    "\n",
+    "# 3. normalize direction suffixes\n",
+    "direction_map = {\n",
+    "    r'\\bNord\\b': 'North',\n",
+    "    r'\\bSüd\\b': 'South',\n",
+    "    r'\\bOst\\b': 'East',\n",
+    "    r'\\bWest\\b': 'West',\n",
+    "    r'\\bZentrum\\b': 'Central',\n",
+    "    r'\\bMitte\\b': 'Central'\n",
+    "}\n",
+    "for pattern, replacement in direction_map.items():\n",
+    "    df['Location'] = df['Location'].str.replace(pattern, replacement, regex=True)\n",
+    "\n",
+    "# 4. normalize compound directions\n",
+    "compound_map = {\n",
+    "    r'Nordwest': 'Northwest',\n",
+    "    r'Nordnet': 'Northeast',\n",
+    "    r'Südwest': 'Southwest',\n",
+    "    r'Südost': 'Southeast'\n",
+    "}\n",
+    "for pattern, replacement in compound_map.items():\n",
+    "    df['Location'] = df['Location'].str.replace(pattern, replacement, regex=True)\n",
+    "\n",
+    "# 5. standardize formatting\n",
+    "df['Location'] = df['Location'].str.strip().str.title()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "a43fab6d-0804-4cff-a7a8-058d037a3774",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Year', 'District', 'Code', 'Location', 'Robbery', 'Street_robbery',\n",
+       "       'Injury', 'Agg_assault', 'Threat', 'Theft', 'Car', 'From_car', 'Bike',\n",
+       "       'Burglary', 'Fire', 'Arson', 'Damage', 'Graffiti', 'Drugs', 'Local'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "47d93a98-3188-428b-845b-86b5ce1d88e8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Tiergarten Süd', 'Regierungsviertel', 'Alexanderplatz',\n",
+       "       'Brunnenstraße Süd', 'Moabit West', 'Moabit Ost', 'Osloer Straße',\n",
+       "       'Brunnenstraße Nord', 'Parkviertel', 'Wedding Zentrum',\n",
+       "       'Bezirk (Mi)', 'nicht zuzuordnen', 'Südliche Friedrichstadt',\n",
+       "       'Tempelhofer Vorstadt', 'nördliche Luisenstadt',\n",
+       "       'südliche Luisenstadt', 'Karl-Marx-Allee-Nord',\n",
+       "       'Karl-Marx-Allee-Süd', 'Frankfurter Allee Nord',\n",
+       "       'Frankfurter Allee Süd FK', 'Bezirk (Fh-Kb)', 'Buch',\n",
+       "       'Blankenfelde', 'Niederschönhausen', 'Buchholz', 'Karow',\n",
+       "       'Blankenburg', 'Heinersdorf', 'Märchenland', 'Schönholz',\n",
+       "       'Wilhelmsruh', 'Rosenthal', 'Pankow Zentrum', 'Pankow Süd',\n",
+       "       'Weißensee', 'Weißensee Ost', 'Prenzlauer Berg Nordwest',\n",
+       "       'Prenzlauer Berg Nord', 'Helmholtzplatz', 'Prenzlauer Berg Ost',\n",
+       "       'Prenzlauer Berg Südwest', 'Prenzlauer Berg Süd', 'Bezirk (Pk)',\n",
+       "       'Charlottenburg-Nord', 'Heerstrasse', 'Westend',\n",
+       "       'Schloß Charlottenburg', 'Mierendorffplatz', 'Otto-Suhr-Allee',\n",
+       "       'Neue Kantstraße', 'Kantstraße', 'Kurfürstendamm', 'Halensee',\n",
+       "       'Grunewald', 'Schmargendorf', 'Wiesbadener Straße',\n",
+       "       'Düsseldorfer Straße', 'Barstraße', 'Volkspark Wilmersdorf',\n",
+       "       'Forst Grunewald', 'Bezirk (Ch-Wi)', 'Hakenfelde',\n",
+       "       'Falkenhagener Feld', 'Spandau Mitte', 'Brunsbütteler Damm',\n",
+       "       'Heerstraße Nord', 'Wilhelmstadt', 'Haselhorst', 'Siemensstadt',\n",
+       "       'Gatow', 'Kladow', 'Bezirk (Sp)', 'Schloßstr.', 'Albrechtstr.',\n",
+       "       'Lankwitz', 'Ostpreußendamm', 'Teltower Damm', 'Drakestr.',\n",
+       "       'Zehlendorf Südwest', 'Zehlendorf Nord', 'Bezirk (St-Zd)',\n",
+       "       'Schöneberg-Nord', 'Schöneberg-Süd', 'Friedenau', 'Tempelhof',\n",
+       "       'Mariendorf', 'Marienfelde', 'Lichtenrade', 'Bezirk (Th-Sb)',\n",
+       "       'Schillerpromenade', 'Neuköllner Mitte', 'Zentrum', 'Reuterstraße',\n",
+       "       'Rixdorf', 'Köllnische Heide', 'Britz', 'Buckow', 'Gropiusstadt',\n",
+       "       'Buckow Nord', 'Rudow', 'Bezirk (Nk)', 'Alt-Treptow',\n",
+       "       'Plänterwald', 'Baumschulenweg', 'Johannisthal', 'Oberschöneweide',\n",
+       "       'Niederschöneweide', 'Adlershof', 'Köllnische Vorstadt',\n",
+       "       'Spindlersfeld', 'Altglienicke', 'Bohnsdorf', 'Grünau',\n",
+       "       'Schmöckwitz', 'Karolinenhof', 'Rauchfangswerder', 'Köpenick-Süd',\n",
+       "       'Allende-Viertel', 'Altstadt-Kietz', 'Müggelheim',\n",
+       "       'Friedrichshagen', 'Rahnsdorf', 'Hessenwinkel', 'Dammvorstadt',\n",
+       "       'Köpenick-Nord', 'Bezirk (Tp-Kp)', 'Marzahn-Nord', 'Marzahn-Mitte',\n",
+       "       'Marzahn-Süd', 'Hellersdorf-Nord', 'Hellersdorf-Ost',\n",
+       "       'Hellersdorf-Süd', 'Biesdorf', 'Kaulsdorf', 'Mahlsdorf',\n",
+       "       'Bezirk (Mz-Hd)', 'Malchow', 'Wartenberg und Falkenberg',\n",
+       "       'Neu-Hohenschönhausen Nord', 'Neu-Hohenschönhausen Süd',\n",
+       "       'Alt-Hohenschönhausen Nord', 'Alt-Hohenschönhausen Süd',\n",
+       "       'Fennpfuhl', 'Alt-Lichtenberg', 'Frankfurter Allee Süd',\n",
+       "       'Neu Lichtenberg', 'Friedrichsfelde Nord', 'Friedrichsfelde Süd',\n",
+       "       'Rummelsburger Bucht', 'Karlshorst', 'Bezirk (Lb)',\n",
+       "       'Ost 1 - Reginhardstr.', 'Ost 2 - Alt-Reinickendorf',\n",
+       "       'West 1 - Tegel-Süd', 'Flughafensee',\n",
+       "       'West 4 - Auguste-Viktoria-Allee', 'West 5 - Tegel',\n",
+       "       'Tegeler Forst', 'West 2 - Heiligensee', 'Konradshöhe',\n",
+       "       'Nord 1 - Frohnau', 'Hermsdorf', 'Nord 2 - Waidmannslust',\n",
+       "       'Wittenau', 'Lübars', 'MV 1 - Märkisches Viertel',\n",
+       "       'MV 2 - Rollbergsiedlung', 'West 3 - Borsigwalde', 'Freie Scholle',\n",
+       "       'Bezirk (Rd)'], dtype=object)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_cleaned['Location'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "d1539954-0ad5-4a27-81b6-a3ed4680bf8f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_cleaned = df_cleaned[~df_cleaned[\"Location\"].str.contains(\"Nicht Zuzuordnen\")]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "a351e2c2-6990-4e22-82f4-fc7d5492ca66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_cleaned = df.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "5e813069-d93e-438b-83e9-922b828804d4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CSV saved as UTF-8 at: berlin_crimes_cleaned.csv\n"
+     ]
+    }
+   ],
+   "source": [
+    "df_cleaned.to_csv(\"C:\\\\Users\\\\DSGEDSGE-ELEC\\\\Documents\\\\ironhack\\\\week4\\\\Day1\\\\first_project\\\\data\\\\clean\\\\berlin_crimes_cleaned.csv\", index=False, encoding=\"utf-8\")\n",
+    "\n",
+    "#df.to_csv(\"\\\\data\\\\clean\\\\berlin_crimes_cleaned.csv\", index=False, encoding=\"utf-8\")\n",
+    "print(\"CSV saved as UTF-8 at: berlin_crimes_cleaned.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "994f7323-7213-4cad-ae0b-cf47fe162540",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<bound method NDFrame.describe of       Year       District    Code                                Location  \\\n",
+       "0     2012          Mitte   10111                          Tiergarten Süd   \n",
+       "1     2012          Mitte   10112                       Regierungsviertel   \n",
+       "2     2012          Mitte   10113                          Alexanderplatz   \n",
+       "3     2012          Mitte   10114                       Brunnenstraße Süd   \n",
+       "4     2012          Mitte   10221                             Moabit West   \n",
+       "...    ...            ...     ...                                     ...   \n",
+       "1195  2019  Reinickendorf  123012  Nord 2 - Waidmannslust/Wittenau/Lübars   \n",
+       "1196  2019  Reinickendorf  123021               Mv 1 - Märkisches Viertel   \n",
+       "1197  2019  Reinickendorf  123022                 Mv 2 - Rollbergsiedlung   \n",
+       "1198  2019  Reinickendorf  123043      West 3 - Borsigwalde/Freie Scholle   \n",
+       "1199  2019  Reinickendorf  129900           Bezirk (Rd), Nicht Zuzuordnen   \n",
+       "\n",
+       "      Robbery  Street_robbery  Injury  Agg_assault  Threat  Theft  Car  \\\n",
+       "0          70              46     586          194     118   2263   18   \n",
+       "1          65              29     474          123     142   3203   10   \n",
+       "2         242             136    1541          454     304   8988   81   \n",
+       "3          52              25     254           60      66   1916   86   \n",
+       "4         130              51     629          185     199   2470   94   \n",
+       "...       ...             ...     ...          ...     ...    ...  ...   \n",
+       "1195       34              19     372           85     123   1160   30   \n",
+       "1196       42              22     491          123     187   1100   51   \n",
+       "1197        6               4      84           19      34    293   13   \n",
+       "1198        8               4      95           18      43    492   21   \n",
+       "1199        3               2      14            7       4     59    0   \n",
+       "\n",
+       "      From_car  Bike  Burglary  Fire  Arson  Damage  Graffiti  Drugs  Local  \n",
+       "0          328   120        68    16      4     273        26    171   1032  \n",
+       "1          307   170        37    10      4     380       124     98    870  \n",
+       "2          792   822       275    49     27    1538       522    435   3108  \n",
+       "3          192   396       131    14      5     428       122    213    752  \n",
+       "4          410   325       161    42     22     516        64    259   1403  \n",
+       "...        ...   ...       ...   ...    ...     ...       ...    ...    ...  \n",
+       "1195       135   150        93    16      3     306        74    110    728  \n",
+       "1196       224    76        40    39     19     286        11     73    986  \n",
+       "1197        36    18        34     5      2     156        56     21    212  \n",
+       "1198        96    69        38     6      1      79         8     31    218  \n",
+       "1199         7    15         0     1      0       7         3      9     21  \n",
+       "\n",
+       "[1200 rows x 20 columns]>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "7c57db70-1224-46b6-85d2-9767c03214b8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.columns = df.columns.str.lower()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "60b01b37-749d-4bc8-85fc-2e7dfe8d46f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>district</th>\n",
+       "      <th>code</th>\n",
+       "      <th>location</th>\n",
+       "      <th>robbery</th>\n",
+       "      <th>street_robbery</th>\n",
+       "      <th>injury</th>\n",
+       "      <th>agg_assault</th>\n",
+       "      <th>threat</th>\n",
+       "      <th>theft</th>\n",
+       "      <th>car</th>\n",
+       "      <th>from_car</th>\n",
+       "      <th>bike</th>\n",
+       "      <th>burglary</th>\n",
+       "      <th>fire</th>\n",
+       "      <th>arson</th>\n",
+       "      <th>damage</th>\n",
+       "      <th>graffiti</th>\n",
+       "      <th>drugs</th>\n",
+       "      <th>local</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>10111</td>\n",
+       "      <td>Tiergarten South</td>\n",
+       "      <td>70</td>\n",
+       "      <td>46</td>\n",
+       "      <td>586</td>\n",
+       "      <td>194</td>\n",
+       "      <td>118</td>\n",
+       "      <td>2263</td>\n",
+       "      <td>18</td>\n",
+       "      <td>328</td>\n",
+       "      <td>120</td>\n",
+       "      <td>68</td>\n",
+       "      <td>16</td>\n",
+       "      <td>4</td>\n",
+       "      <td>273</td>\n",
+       "      <td>26</td>\n",
+       "      <td>171</td>\n",
+       "      <td>1032</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>10112</td>\n",
+       "      <td>Regierungsviertel</td>\n",
+       "      <td>65</td>\n",
+       "      <td>29</td>\n",
+       "      <td>474</td>\n",
+       "      <td>123</td>\n",
+       "      <td>142</td>\n",
+       "      <td>3203</td>\n",
+       "      <td>10</td>\n",
+       "      <td>307</td>\n",
+       "      <td>170</td>\n",
+       "      <td>37</td>\n",
+       "      <td>10</td>\n",
+       "      <td>4</td>\n",
+       "      <td>380</td>\n",
+       "      <td>124</td>\n",
+       "      <td>98</td>\n",
+       "      <td>870</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>10113</td>\n",
+       "      <td>Alexanderplatz</td>\n",
+       "      <td>242</td>\n",
+       "      <td>136</td>\n",
+       "      <td>1541</td>\n",
+       "      <td>454</td>\n",
+       "      <td>304</td>\n",
+       "      <td>8988</td>\n",
+       "      <td>81</td>\n",
+       "      <td>792</td>\n",
+       "      <td>822</td>\n",
+       "      <td>275</td>\n",
+       "      <td>49</td>\n",
+       "      <td>27</td>\n",
+       "      <td>1538</td>\n",
+       "      <td>522</td>\n",
+       "      <td>435</td>\n",
+       "      <td>3108</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>10114</td>\n",
+       "      <td>Brunnenstraße South</td>\n",
+       "      <td>52</td>\n",
+       "      <td>25</td>\n",
+       "      <td>254</td>\n",
+       "      <td>60</td>\n",
+       "      <td>66</td>\n",
+       "      <td>1916</td>\n",
+       "      <td>86</td>\n",
+       "      <td>192</td>\n",
+       "      <td>396</td>\n",
+       "      <td>131</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>428</td>\n",
+       "      <td>122</td>\n",
+       "      <td>213</td>\n",
+       "      <td>752</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>Mitte</td>\n",
+       "      <td>10221</td>\n",
+       "      <td>Moabit West</td>\n",
+       "      <td>130</td>\n",
+       "      <td>51</td>\n",
+       "      <td>629</td>\n",
+       "      <td>185</td>\n",
+       "      <td>199</td>\n",
+       "      <td>2470</td>\n",
+       "      <td>94</td>\n",
+       "      <td>410</td>\n",
+       "      <td>325</td>\n",
+       "      <td>161</td>\n",
+       "      <td>42</td>\n",
+       "      <td>22</td>\n",
+       "      <td>516</td>\n",
+       "      <td>64</td>\n",
+       "      <td>259</td>\n",
+       "      <td>1403</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1196</th>\n",
+       "      <td>2019</td>\n",
+       "      <td>Reinickendorf</td>\n",
+       "      <td>123021</td>\n",
+       "      <td>Mv 1 - Märkisches Viertel</td>\n",
+       "      <td>42</td>\n",
+       "      <td>22</td>\n",
+       "      <td>491</td>\n",
+       "      <td>123</td>\n",
+       "      <td>187</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>51</td>\n",
+       "      <td>224</td>\n",
+       "      <td>76</td>\n",
+       "      <td>40</td>\n",
+       "      <td>39</td>\n",
+       "      <td>19</td>\n",
+       "      <td>286</td>\n",
+       "      <td>11</td>\n",
+       "      <td>73</td>\n",
+       "      <td>986</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1197</th>\n",
+       "      <td>2019</td>\n",
+       "      <td>Reinickendorf</td>\n",
+       "      <td>123022</td>\n",
+       "      <td>Mv 2 - Rollbergsiedlung</td>\n",
+       "      <td>6</td>\n",
+       "      <td>4</td>\n",
+       "      <td>84</td>\n",
+       "      <td>19</td>\n",
+       "      <td>34</td>\n",
+       "      <td>293</td>\n",
+       "      <td>13</td>\n",
+       "      <td>36</td>\n",
+       "      <td>18</td>\n",
+       "      <td>34</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>156</td>\n",
+       "      <td>56</td>\n",
+       "      <td>21</td>\n",
+       "      <td>212</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1198</th>\n",
+       "      <td>2019</td>\n",
+       "      <td>Reinickendorf</td>\n",
+       "      <td>123043</td>\n",
+       "      <td>West 3 - Borsigwalde</td>\n",
+       "      <td>8</td>\n",
+       "      <td>4</td>\n",
+       "      <td>95</td>\n",
+       "      <td>18</td>\n",
+       "      <td>43</td>\n",
+       "      <td>492</td>\n",
+       "      <td>21</td>\n",
+       "      <td>96</td>\n",
+       "      <td>69</td>\n",
+       "      <td>38</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>79</td>\n",
+       "      <td>8</td>\n",
+       "      <td>31</td>\n",
+       "      <td>218</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1198</th>\n",
+       "      <td>2019</td>\n",
+       "      <td>Reinickendorf</td>\n",
+       "      <td>123043</td>\n",
+       "      <td>Freie Scholle</td>\n",
+       "      <td>8</td>\n",
+       "      <td>4</td>\n",
+       "      <td>95</td>\n",
+       "      <td>18</td>\n",
+       "      <td>43</td>\n",
+       "      <td>492</td>\n",
+       "      <td>21</td>\n",
+       "      <td>96</td>\n",
+       "      <td>69</td>\n",
+       "      <td>38</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>79</td>\n",
+       "      <td>8</td>\n",
+       "      <td>31</td>\n",
+       "      <td>218</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1199</th>\n",
+       "      <td>2019</td>\n",
+       "      <td>Reinickendorf</td>\n",
+       "      <td>129900</td>\n",
+       "      <td>Bezirk (Rd)</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>14</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>59</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>21</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1352 rows × 20 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      year       district    code                   location  robbery  \\\n",
+       "0     2012          Mitte   10111           Tiergarten South       70   \n",
+       "1     2012          Mitte   10112          Regierungsviertel       65   \n",
+       "2     2012          Mitte   10113             Alexanderplatz      242   \n",
+       "3     2012          Mitte   10114        Brunnenstraße South       52   \n",
+       "4     2012          Mitte   10221                Moabit West      130   \n",
+       "...    ...            ...     ...                        ...      ...   \n",
+       "1196  2019  Reinickendorf  123021  Mv 1 - Märkisches Viertel       42   \n",
+       "1197  2019  Reinickendorf  123022    Mv 2 - Rollbergsiedlung        6   \n",
+       "1198  2019  Reinickendorf  123043       West 3 - Borsigwalde        8   \n",
+       "1198  2019  Reinickendorf  123043              Freie Scholle        8   \n",
+       "1199  2019  Reinickendorf  129900                Bezirk (Rd)        3   \n",
+       "\n",
+       "      street_robbery  injury  agg_assault  threat  theft  car  from_car  bike  \\\n",
+       "0                 46     586          194     118   2263   18       328   120   \n",
+       "1                 29     474          123     142   3203   10       307   170   \n",
+       "2                136    1541          454     304   8988   81       792   822   \n",
+       "3                 25     254           60      66   1916   86       192   396   \n",
+       "4                 51     629          185     199   2470   94       410   325   \n",
+       "...              ...     ...          ...     ...    ...  ...       ...   ...   \n",
+       "1196              22     491          123     187   1100   51       224    76   \n",
+       "1197               4      84           19      34    293   13        36    18   \n",
+       "1198               4      95           18      43    492   21        96    69   \n",
+       "1198               4      95           18      43    492   21        96    69   \n",
+       "1199               2      14            7       4     59    0         7    15   \n",
+       "\n",
+       "      burglary  fire  arson  damage  graffiti  drugs  local  \n",
+       "0           68    16      4     273        26    171   1032  \n",
+       "1           37    10      4     380       124     98    870  \n",
+       "2          275    49     27    1538       522    435   3108  \n",
+       "3          131    14      5     428       122    213    752  \n",
+       "4          161    42     22     516        64    259   1403  \n",
+       "...        ...   ...    ...     ...       ...    ...    ...  \n",
+       "1196        40    39     19     286        11     73    986  \n",
+       "1197        34     5      2     156        56     21    212  \n",
+       "1198        38     6      1      79         8     31    218  \n",
+       "1198        38     6      1      79         8     31    218  \n",
+       "1199         0     1      0       7         3      9     21  \n",
+       "\n",
+       "[1352 rows x 20 columns]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "ec282079-4b60-4123-b403-d512e92beb07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def clean_german_string_final(series):\n",
+    "    \"\"\"\n",
+    "    Standardizes location names by converting to lowercase first, \n",
+    "    then handling umlauts, hyphens, and spaces.\n",
+    "    \"\"\"\n",
+    "\n",
+    "    cleaned_string = series.astype(str)\n",
+    "    cleaned_string = cleaned_string.str.lower()\n",
+    "    cleaned_string = cleaned_string.str.replace('ä', 'ae', regex=False)\n",
+    "    cleaned_string = cleaned_string.str.replace('ö', 'oe', regex=False)\n",
+    "    cleaned_string = cleaned_string.str.replace('ü', 'ue', regex=False)\n",
+    "    cleaned_string = cleaned_string.str.replace('ß', 'ss', regex=False)\n",
+    "    cleaned_string = cleaned_string.str.replace(' ', '_', regex=False)\n",
+    "    \n",
+    "    return cleaned_string\n",
+    "\n",
+    "\n",
+    "df['location'] = clean_german_string_final(df['location'])\n",
+    "df['district'] = clean_german_string_final(df['district'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "482c5303-2cf4-44ff-97f6-2bd36a6dfca9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>district</th>\n",
+       "      <th>code</th>\n",
+       "      <th>location</th>\n",
+       "      <th>robbery</th>\n",
+       "      <th>street_robbery</th>\n",
+       "      <th>injury</th>\n",
+       "      <th>agg_assault</th>\n",
+       "      <th>threat</th>\n",
+       "      <th>theft</th>\n",
+       "      <th>car</th>\n",
+       "      <th>from_car</th>\n",
+       "      <th>bike</th>\n",
+       "      <th>burglary</th>\n",
+       "      <th>fire</th>\n",
+       "      <th>arson</th>\n",
+       "      <th>damage</th>\n",
+       "      <th>graffiti</th>\n",
+       "      <th>drugs</th>\n",
+       "      <th>local</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>mitte</td>\n",
+       "      <td>10111</td>\n",
+       "      <td>tiergarten_south</td>\n",
+       "      <td>70</td>\n",
+       "      <td>46</td>\n",
+       "      <td>586</td>\n",
+       "      <td>194</td>\n",
+       "      <td>118</td>\n",
+       "      <td>2263</td>\n",
+       "      <td>18</td>\n",
+       "      <td>328</td>\n",
+       "      <td>120</td>\n",
+       "      <td>68</td>\n",
+       "      <td>16</td>\n",
+       "      <td>4</td>\n",
+       "      <td>273</td>\n",
+       "      <td>26</td>\n",
+       "      <td>171</td>\n",
+       "      <td>1032</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>mitte</td>\n",
+       "      <td>10112</td>\n",
+       "      <td>regierungsviertel</td>\n",
+       "      <td>65</td>\n",
+       "      <td>29</td>\n",
+       "      <td>474</td>\n",
+       "      <td>123</td>\n",
+       "      <td>142</td>\n",
+       "      <td>3203</td>\n",
+       "      <td>10</td>\n",
+       "      <td>307</td>\n",
+       "      <td>170</td>\n",
+       "      <td>37</td>\n",
+       "      <td>10</td>\n",
+       "      <td>4</td>\n",
+       "      <td>380</td>\n",
+       "      <td>124</td>\n",
+       "      <td>98</td>\n",
+       "      <td>870</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>mitte</td>\n",
+       "      <td>10113</td>\n",
+       "      <td>alexanderplatz</td>\n",
+       "      <td>242</td>\n",
+       "      <td>136</td>\n",
+       "      <td>1541</td>\n",
+       "      <td>454</td>\n",
+       "      <td>304</td>\n",
+       "      <td>8988</td>\n",
+       "      <td>81</td>\n",
+       "      <td>792</td>\n",
+       "      <td>822</td>\n",
+       "      <td>275</td>\n",
+       "      <td>49</td>\n",
+       "      <td>27</td>\n",
+       "      <td>1538</td>\n",
+       "      <td>522</td>\n",
+       "      <td>435</td>\n",
+       "      <td>3108</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>mitte</td>\n",
+       "      <td>10114</td>\n",
+       "      <td>brunnenstrasse_south</td>\n",
+       "      <td>52</td>\n",
+       "      <td>25</td>\n",
+       "      <td>254</td>\n",
+       "      <td>60</td>\n",
+       "      <td>66</td>\n",
+       "      <td>1916</td>\n",
+       "      <td>86</td>\n",
+       "      <td>192</td>\n",
+       "      <td>396</td>\n",
+       "      <td>131</td>\n",
+       "      <td>14</td>\n",
+       "      <td>5</td>\n",
+       "      <td>428</td>\n",
+       "      <td>122</td>\n",
+       "      <td>213</td>\n",
+       "      <td>752</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>mitte</td>\n",
+       "      <td>10221</td>\n",
+       "      <td>moabit_west</td>\n",
+       "      <td>130</td>\n",
+       "      <td>51</td>\n",
+       "      <td>629</td>\n",
+       "      <td>185</td>\n",
+       "      <td>199</td>\n",
+       "      <td>2470</td>\n",
+       "      <td>94</td>\n",
+       "      <td>410</td>\n",
+       "      <td>325</td>\n",
+       "      <td>161</td>\n",
+       "      <td>42</td>\n",
+       "      <td>22</td>\n",
+       "      <td>516</td>\n",
+       "      <td>64</td>\n",
+       "      <td>259</td>\n",
+       "      <td>1403</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>88</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>neukoelln</td>\n",
+       "      <td>80207</td>\n",
+       "      <td>buckow</td>\n",
+       "      <td>26</td>\n",
+       "      <td>7</td>\n",
+       "      <td>206</td>\n",
+       "      <td>58</td>\n",
+       "      <td>107</td>\n",
+       "      <td>634</td>\n",
+       "      <td>24</td>\n",
+       "      <td>225</td>\n",
+       "      <td>45</td>\n",
+       "      <td>62</td>\n",
+       "      <td>11</td>\n",
+       "      <td>3</td>\n",
+       "      <td>281</td>\n",
+       "      <td>63</td>\n",
+       "      <td>14</td>\n",
+       "      <td>499</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>89</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>neukoelln</td>\n",
+       "      <td>80308</td>\n",
+       "      <td>gropiusstadt</td>\n",
+       "      <td>52</td>\n",
+       "      <td>30</td>\n",
+       "      <td>350</td>\n",
+       "      <td>72</td>\n",
+       "      <td>131</td>\n",
+       "      <td>1942</td>\n",
+       "      <td>25</td>\n",
+       "      <td>195</td>\n",
+       "      <td>140</td>\n",
+       "      <td>67</td>\n",
+       "      <td>13</td>\n",
+       "      <td>1</td>\n",
+       "      <td>525</td>\n",
+       "      <td>79</td>\n",
+       "      <td>32</td>\n",
+       "      <td>1070</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>90</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>neukoelln</td>\n",
+       "      <td>80409</td>\n",
+       "      <td>buckow_north</td>\n",
+       "      <td>14</td>\n",
+       "      <td>3</td>\n",
+       "      <td>65</td>\n",
+       "      <td>11</td>\n",
+       "      <td>34</td>\n",
+       "      <td>409</td>\n",
+       "      <td>11</td>\n",
+       "      <td>73</td>\n",
+       "      <td>12</td>\n",
+       "      <td>46</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>64</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>176</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>91</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>neukoelln</td>\n",
+       "      <td>80410</td>\n",
+       "      <td>rudow</td>\n",
+       "      <td>40</td>\n",
+       "      <td>25</td>\n",
+       "      <td>206</td>\n",
+       "      <td>50</td>\n",
+       "      <td>90</td>\n",
+       "      <td>1256</td>\n",
+       "      <td>58</td>\n",
+       "      <td>374</td>\n",
+       "      <td>117</td>\n",
+       "      <td>181</td>\n",
+       "      <td>15</td>\n",
+       "      <td>4</td>\n",
+       "      <td>405</td>\n",
+       "      <td>65</td>\n",
+       "      <td>23</td>\n",
+       "      <td>543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>92</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>neukoelln</td>\n",
+       "      <td>89900</td>\n",
+       "      <td>bezirk_(nk)</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>56</td>\n",
+       "      <td>23</td>\n",
+       "      <td>19</td>\n",
+       "      <td>210</td>\n",
+       "      <td>2</td>\n",
+       "      <td>21</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>58</td>\n",
+       "      <td>36</td>\n",
+       "      <td>3</td>\n",
+       "      <td>100</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 20 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    year   district   code              location  robbery  street_robbery  \\\n",
+       "0   2012      mitte  10111      tiergarten_south       70              46   \n",
+       "1   2012      mitte  10112     regierungsviertel       65              29   \n",
+       "2   2012      mitte  10113        alexanderplatz      242             136   \n",
+       "3   2012      mitte  10114  brunnenstrasse_south       52              25   \n",
+       "4   2012      mitte  10221           moabit_west      130              51   \n",
+       "..   ...        ...    ...                   ...      ...             ...   \n",
+       "88  2012  neukoelln  80207                buckow       26               7   \n",
+       "89  2012  neukoelln  80308          gropiusstadt       52              30   \n",
+       "90  2012  neukoelln  80409          buckow_north       14               3   \n",
+       "91  2012  neukoelln  80410                 rudow       40              25   \n",
+       "92  2012  neukoelln  89900           bezirk_(nk)        2               3   \n",
+       "\n",
+       "    injury  agg_assault  threat  theft  car  from_car  bike  burglary  fire  \\\n",
+       "0      586          194     118   2263   18       328   120        68    16   \n",
+       "1      474          123     142   3203   10       307   170        37    10   \n",
+       "2     1541          454     304   8988   81       792   822       275    49   \n",
+       "3      254           60      66   1916   86       192   396       131    14   \n",
+       "4      629          185     199   2470   94       410   325       161    42   \n",
+       "..     ...          ...     ...    ...  ...       ...   ...       ...   ...   \n",
+       "88     206           58     107    634   24       225    45        62    11   \n",
+       "89     350           72     131   1942   25       195   140        67    13   \n",
+       "90      65           11      34    409   11        73    12        46     6   \n",
+       "91     206           50      90   1256   58       374   117       181    15   \n",
+       "92      56           23      19    210    2        21     3         0     1   \n",
+       "\n",
+       "    arson  damage  graffiti  drugs  local  \n",
+       "0       4     273        26    171   1032  \n",
+       "1       4     380       124     98    870  \n",
+       "2      27    1538       522    435   3108  \n",
+       "3       5     428       122    213    752  \n",
+       "4      22     516        64    259   1403  \n",
+       "..    ...     ...       ...    ...    ...  \n",
+       "88      3     281        63     14    499  \n",
+       "89      1     525        79     32   1070  \n",
+       "90      1      64         3      6    176  \n",
+       "91      4     405        65     23    543  \n",
+       "92      1      58        36      3    100  \n",
+       "\n",
+       "[100 rows x 20 columns]"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head(100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "b59540cd-70d3-486e-a41c-49e5ae91f2cc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['mitte', 'friedrichshain-kreuzberg', 'pankow',\n",
+       "       'charlottenburg-wilmersdorf', 'spandau', 'steglitz-zehlendorf',\n",
+       "       'tempelhof-schoeneberg', 'neukoelln', 'treptow-koepenick',\n",
+       "       'marzahn-hellersdorf', 'lichtenberg', 'reinickendorf'],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['district'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "f6ca7619-7a50-4566-ba87-63d6ac6f125c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['tiergarten_south', 'regierungsviertel', 'alexanderplatz',\n",
+       "       'brunnenstrasse_south', 'moabit_west', 'moabit_east',\n",
+       "       'osloer_strasse', 'brunnenstrasse_north', 'parkviertel',\n",
+       "       'wedding_central', 'bezirk_(mi)', 'suedliche_friedrichstadt',\n",
+       "       'tempelhofer_vorstadt', 'noerdliche_luisenstadt',\n",
+       "       'suedliche_luisenstadt', 'karl-marx-allee-north',\n",
+       "       'karl-marx-allee-south', 'frankfurter_allee_north',\n",
+       "       'frankfurter_allee_south_fk', 'bezirk_(fh-kb)', 'buch',\n",
+       "       'blankenfelde', 'niederschoenhausen', 'buchholz', 'karow',\n",
+       "       'blankenburg', 'heinersdorf', 'maerchenland', 'schoenholz',\n",
+       "       'wilhelmsruh', 'rosenthal', 'pankow_central', 'pankow_south',\n",
+       "       'weissensee', 'weissensee_east', 'prenzlauer_berg_northwest',\n",
+       "       'prenzlauer_berg_north', 'helmholtzplatz', 'prenzlauer_berg_east',\n",
+       "       'prenzlauer_berg_southwest', 'prenzlauer_berg_south',\n",
+       "       'bezirk_(pk)', 'charlottenburg-north', 'heerstrasse', 'westend',\n",
+       "       'schloss_charlottenburg', 'mierendorffplatz', 'otto-suhr-allee',\n",
+       "       'neue_kantstrasse', 'kantstrasse', 'kurfuerstendamm', 'halensee',\n",
+       "       'grunewald', 'schmargendorf', 'wiesbadener_strasse',\n",
+       "       'duesseldorfer_strasse', 'barstrasse', 'volkspark_wilmersdorf',\n",
+       "       'forst_grunewald', 'bezirk_(ch-wi)', 'hakenfelde',\n",
+       "       'falkenhagener_feld', 'spandau_central', 'brunsbuetteler_damm',\n",
+       "       'heerstrasse_north', 'wilhelmstadt', 'haselhorst', 'siemensstadt',\n",
+       "       'gatow', 'kladow', 'bezirk_(sp)', 'schlossstr.', 'albrechtstr.',\n",
+       "       'lankwitz', 'ostpreussendamm', 'teltower_damm', 'drakestr.',\n",
+       "       'zehlendorf_southwest', 'zehlendorf_north', 'bezirk_(st-zd)',\n",
+       "       'schoeneberg-north', 'schoeneberg-south', 'friedenau', 'tempelhof',\n",
+       "       'mariendorf', 'marienfelde', 'lichtenrade', 'bezirk_(th-sb)',\n",
+       "       'schillerpromenade', 'neukoellner_central', 'central',\n",
+       "       'reuterstrasse', 'rixdorf', 'koellnische_heide', 'britz', 'buckow',\n",
+       "       'gropiusstadt', 'buckow_north', 'rudow', 'bezirk_(nk)',\n",
+       "       'alt-treptow', 'plaenterwald', 'baumschulenweg', 'johannisthal',\n",
+       "       'oberschoeneweide', 'niederschoeneweide', 'adlershof',\n",
+       "       'koellnische_vorstadt', 'spindlersfeld', 'altglienicke',\n",
+       "       'bohnsdorf', 'gruenau', 'schmoeckwitz', 'karolinenhof',\n",
+       "       'rauchfangswerder', 'koepenick-south', 'allende-viertel',\n",
+       "       'altstadt-kietz', 'mueggelheim', 'friedrichshagen', 'rahnsdorf',\n",
+       "       'hessenwinkel', 'dammvorstadt', 'koepenick-north',\n",
+       "       'bezirk_(tp-kp)', 'marzahn-north', 'marzahn-central',\n",
+       "       'marzahn-south', 'hellersdorf-north', 'hellersdorf-east',\n",
+       "       'hellersdorf-south', 'biesdorf', 'kaulsdorf', 'mahlsdorf',\n",
+       "       'bezirk_(mz-hd)', 'malchow', 'wartenberg_und_falkenberg',\n",
+       "       'neu-hohenschoenhausen_north', 'neu-hohenschoenhausen_south',\n",
+       "       'alt-hohenschoenhausen_north', 'alt-hohenschoenhausen_south',\n",
+       "       'fennpfuhl', 'alt-lichtenberg', 'frankfurter_allee_south',\n",
+       "       'neu_lichtenberg', 'friedrichsfelde_north',\n",
+       "       'friedrichsfelde_south', 'rummelsburger_bucht', 'karlshorst',\n",
+       "       'bezirk_(lb)', 'east_1_-_reginhardstr.',\n",
+       "       'east_2_-_alt-reinickendorf', 'west_1_-_tegel-south',\n",
+       "       'flughafensee', 'west_4_-_auguste-viktoria-allee',\n",
+       "       'west_5_-_tegel', 'tegeler_forst', 'west_2_-_heiligensee',\n",
+       "       'konradshoehe', 'north_1_-_frohnau', 'hermsdorf',\n",
+       "       'north_2_-_waidmannslust', 'wittenau', 'luebars',\n",
+       "       'mv_1_-_maerkisches_viertel', 'mv_2_-_rollbergsiedlung',\n",
+       "       'west_3_-_borsigwalde', 'freie_scholle', 'bezirk_(rd)'],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['location'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "9ec91ce3-19a5-4076-8960-e1f71e9212ff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_df_name = 'crime_berlin_clean_2.csv'\n",
+    "\n",
+    "df.to_csv(new_df_name, index=False, encoding='utf-8')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "434574fa-6781-406d-bfac-eca66dce1825",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "f31fe732-cebf-46df-ad44-004c0bb654e5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# New locations table\n",
+    "\n",
+    "location_cols = ['district', 'code', 'location']\n",
+    "\n",
+    "\n",
+    "df_location = df[location_cols]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "b6cee77a-a3eb-4dee-80ec-3a1c723a279d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>district</th>\n",
+       "      <th>code</th>\n",
+       "      <th>location</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>mitte</td>\n",
+       "      <td>10111</td>\n",
+       "      <td>tiergarten_south</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>mitte</td>\n",
+       "      <td>10112</td>\n",
+       "      <td>regierungsviertel</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>mitte</td>\n",
+       "      <td>10113</td>\n",
+       "      <td>alexanderplatz</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>mitte</td>\n",
+       "      <td>10114</td>\n",
+       "      <td>brunnenstrasse_south</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>mitte</td>\n",
+       "      <td>10221</td>\n",
+       "      <td>moabit_west</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1196</th>\n",
+       "      <td>reinickendorf</td>\n",
+       "      <td>123021</td>\n",
+       "      <td>mv_1_-_maerkisches_viertel</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1197</th>\n",
+       "      <td>reinickendorf</td>\n",
+       "      <td>123022</td>\n",
+       "      <td>mv_2_-_rollbergsiedlung</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1198</th>\n",
+       "      <td>reinickendorf</td>\n",
+       "      <td>123043</td>\n",
+       "      <td>west_3_-_borsigwalde</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1198</th>\n",
+       "      <td>reinickendorf</td>\n",
+       "      <td>123043</td>\n",
+       "      <td>freie_scholle</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1199</th>\n",
+       "      <td>reinickendorf</td>\n",
+       "      <td>129900</td>\n",
+       "      <td>bezirk_(rd)</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1352 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           district    code                    location\n",
+       "0             mitte   10111            tiergarten_south\n",
+       "1             mitte   10112           regierungsviertel\n",
+       "2             mitte   10113              alexanderplatz\n",
+       "3             mitte   10114        brunnenstrasse_south\n",
+       "4             mitte   10221                 moabit_west\n",
+       "...             ...     ...                         ...\n",
+       "1196  reinickendorf  123021  mv_1_-_maerkisches_viertel\n",
+       "1197  reinickendorf  123022     mv_2_-_rollbergsiedlung\n",
+       "1198  reinickendorf  123043        west_3_-_borsigwalde\n",
+       "1198  reinickendorf  123043               freie_scholle\n",
+       "1199  reinickendorf  129900                 bezirk_(rd)\n",
+       "\n",
+       "[1352 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_location"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "14990da9-f9ee-4f4a-919b-57f39f796216",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "location_table = 'location_bridge_table.csv'\n",
+    "df_location.to_csv(location_table, index=False, encoding='utf-8')\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fa3a86d5-3d8b-4704-a041-c59cf734b8a3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f147c7a9-56f8-4d88-898c-1ede4c2cfc73",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "language": "python",
+   "name": "venv"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/visualizations_crime_inalexanderplatz.ipynb b/notebooks/visualizations_crime_inalexanderplatz.ipynb
new file mode 100644
index 00000000..b2d76be2
--- /dev/null
+++ b/notebooks/visualizations_crime_inalexanderplatz.ipynb
@@ -0,0 +1,111 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "20b658e4-3734-4d22-9f01-60e48dbea643",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "  crime_type  total_count\n",
+      "0      theft        11233\n",
+      "1      local         3813\n",
+      "2     injury         1966\n",
+      "3     damage         1307\n",
+      "4      drugs         1133\n",
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 16 entries, 0 to 15\n",
+      "Data columns (total 2 columns):\n",
+      " #   Column       Non-Null Count  Dtype \n",
+      "---  ------       --------------  ----- \n",
+      " 0   crime_type   16 non-null     object\n",
+      " 1   total_count  16 non-null     int64 \n",
+      "dtypes: int64(1), object(1)\n",
+      "memory usage: 388.0+ bytes\n",
+      "None\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# 1. Load the CSV\n",
+    "df = pd.read_csv(\"../data/analysis_tables/most common crimes in alexanderplatz in 2019.csv\")\n",
+    "\n",
+    "# Preview the data\n",
+    "print(df.head())\n",
+    "print(df.info())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "90ca9dba-e4c1-4134-be9a-6378bf520950",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "crime_category = (\n",
+    "    df.groupby(\"crime_type\")[\"total_count\"]\n",
+    "      .mean()\n",
+    "      .sort_values(ascending=False).head(10)\n",
+    ")\n",
+    "\n",
+    "plt.figure(figsize=(10,5))\n",
+    "\n",
+    "crime_category.plot(kind=\"bar\")\n",
+    "plt.title(\"Most common crimes in alexanderplatz in 2019\")\n",
+    "plt.xlabel(\"Crime Type\")\n",
+    "plt.ylabel(\"Total Crimes\")\n",
+    "\n",
+    "# Save the plot as an image\n",
+    "plt.savefig(\"../figures/top_10_crimes.png\", dpi=300, bbox_inches='tight')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6c447b2d-1e3b-46c6-88ba-6484cab737db",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "language": "python",
+   "name": "venv"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/visualizations_crime_per_year.ipynb b/notebooks/visualizations_crime_per_year.ipynb
new file mode 100644
index 00000000..ed9e0fe7
--- /dev/null
+++ b/notebooks/visualizations_crime_per_year.ipynb
@@ -0,0 +1,165 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "1e734021-cb58-4d92-99fd-7f9bc8768a8a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                     location   2012   2013   2014   2015   2016   2017  \\\n",
+      "0              alexanderplatz  19314  20167  20068  21809  21931  20861   \n",
+      "1        tempelhofer_vorstadt  12729  12191  12453  13597  13273  12385   \n",
+      "2  frankfurter_allee_south_fk  10117  11138  12420  13861  12256  10806   \n",
+      "3           schoeneberg-north   9883  10523  10347  11207  10810  11021   \n",
+      "4                   tempelhof   9211   9044   9569   9285   9808   9073   \n",
+      "\n",
+      "    2018   2019  \n",
+      "0  19391  22810  \n",
+      "1  13082  13931  \n",
+      "2  10787  12519  \n",
+      "3  13495  10629  \n",
+      "4   9464  10218  \n",
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 169 entries, 0 to 168\n",
+      "Data columns (total 9 columns):\n",
+      " #   Column    Non-Null Count  Dtype \n",
+      "---  ------    --------------  ----- \n",
+      " 0   location  169 non-null    object\n",
+      " 1   2012      169 non-null    int64 \n",
+      " 2   2013      169 non-null    int64 \n",
+      " 3   2014      169 non-null    int64 \n",
+      " 4   2015      169 non-null    int64 \n",
+      " 5   2016      169 non-null    int64 \n",
+      " 6   2017      169 non-null    int64 \n",
+      " 7   2018      169 non-null    int64 \n",
+      " 8   2019      169 non-null    int64 \n",
+      "dtypes: int64(8), object(1)\n",
+      "memory usage: 12.0+ KB\n",
+      "None\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# 1. Load the CSV\n",
+    "df = pd.read_csv(\"../data/analysis_tables/most dangerous location per year.csv\")\n",
+    "\n",
+    "# Preview the data\n",
+    "print(df.head())\n",
+    "print(df.info())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "dbd9c834-cf65-4d4b-ba2c-ecb681418b3b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "year_cols = [\"2012\",\"2013\",\"2014\",\"2015\",\"2016\",\"2017\",\"2018\",\"2019\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "26e95d27-9660-46fd-8e33-7f06f20a4ab0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Total crime per location across all years\n",
+    "df[\"total\"] = df[year_cols].sum(axis=1)\n",
+    "\n",
+    "# Keep only the TOP 5 locations\n",
+    "top5 = df.nlargest(5, \"total\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "3039dc62-838f-465c-a8af-7a0d1e05700d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_melted = top5.melt(\n",
+    "    id_vars=\"location\",\n",
+    "    value_vars=year_cols,\n",
+    "    var_name=\"year\",\n",
+    "    value_name=\"crime_count\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "9236c338-b85c-4e34-af73-6d5303bb8f72",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "\n",
+    "for loc in df_melted[\"location\"].unique():\n",
+    "    data = df_melted[df_melted[\"location\"] == loc]\n",
+    "    plt.plot(data[\"year\"], data[\"crime_count\"], marker='o', label=loc)\n",
+    "\n",
+    "plt.title(\"Top 5 Crime Locations in Berlin (2012–2019)\")\n",
+    "plt.xlabel(\"Year\")\n",
+    "plt.ylabel(\"Crime Count\")\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left')\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "# Save the plot as an image\n",
+    "plt.savefig(\"../figures/highest_crimes_top10_cities.png\", dpi=300, bbox_inches='tight')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0d27a1bf-efa8-412e-9d2f-18662104bceb",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "language": "python",
+   "name": "venv"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/slides/Crime in berlin.jpg b/slides/Crime in berlin.jpg
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diff --git a/slides/ERD_berlin_crime.png b/slides/ERD_berlin_crime.png
new file mode 100644
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diff --git a/slides/group_name_hypotheses b/slides/group_name_hypotheses
new file mode 100644
index 00000000..800a6ac9
--- /dev/null
+++ b/slides/group_name_hypotheses
@@ -0,0 +1,30 @@
+The Berlin Institute for Urban Safety (BIUS) 🏙️
+
+Focus: An independent, non-profit think tank dedicated to researching the causes and consequences of crime for evidence-based policy recommendations.
+
+
+Analysis Goals
+
+Goal A: Develop a Crime Risk Index.
+Action: Create a weighted index that combines crime rates (crime count / population) for multiple crime categories to rank Berlin's districts/locations from safest to most dangerous. This could be a single, easily digestible metric for policymakers.
+
+Goal B: Identify Correlation between Demographics and Crime.
+Action: Determine if the proportion of specific age groups (e.g., 18 - 27 or 65 und mehr) in a location is statistically correlated with specific types of crime (e.g., street robbery or burglary).
+
+Goal C: Analyze Crime Specialization and Temporal Trends.
+Action: Investigate which types of crime are disproportionately high in specific districts (e.g., is Graffiti a unique problem for one district compared to the rest of the city?). Also, analyze year-over-year changes to identify fastest-growing or declining crime categories.
+
+
+Testable Hypotheses
+General Crime Rate Hypothesis
+H1: Districts with a higher population density (as calculated by combining the population data with external area data, or simply assuming higher population overall) will have a higher absolute number of non-violent crimes (e.g., Theft, Damage, Graffiti).
+
+H2: The district containing the Regierungsviertel (Government District) will have an above-average rate of Threat and Damage (per capita) compared to residential districts due to its political significance and potential for protest activity.
+
+Demographic and Crime Type Hypotheses
+H3 (Age-related): Locations with a higher proportion of residents in the 65 and older age group will show a higher rate of Burglary per capita compared to the Berlin average, as criminals may perceive these areas as containing more vulnerable targets.
+
+H4 (Age-related): Locations with a higher proportion of the 18 - 27 age group will correlate with a higher rate of Drugs offenses (per capita), reflecting typical patterns of drug use and policing effort.
+
+Specific Crime Hypotheses
+H5 (Temporal Trend): The rate of Car theft has declined over the years covered in the dataset, due to modern vehicle anti-theft technology and added video surveillance.
diff --git a/slides/project_base.txt b/slides/project_base.txt
new file mode 100644
index 00000000..f33c38b8
--- /dev/null
+++ b/slides/project_base.txt
@@ -0,0 +1,30 @@
+The Berlin Institute for Urban Safety (BIUS) 🏙️
+
+Focus: An independent, non-profit think tank dedicated to researching the causes and consequences of crime for evidence-based policy recommendations.
+
+
+Analysis Goals
+
+Goal A: Develop a Crime Risk Index.
+Action: Create a weighted index that combines crime rates (crime count / population) for multiple crime categories to rank Berlin's districts/locations from safest to most dangerous. This could be a single, easily digestible metric for policymakers.
+
+Goal B: Identify Correlation between Demographics and Crime.
+Action: Determine if the proportion of specific age groups (e.g., 18 - 27 or 65 und mehr) in a location is statistically correlated with specific types of crime (e.g., street robbery or burglary).
+
+Goal C: Analyze Crime Specialization and Temporal Trends.
+Action: Investigate which types of crime are disproportionately high in specific districts (e.g., is Graffiti a unique problem for one district compared to the rest of the city?). Also, analyze year-over-year changes to identify fastest-growing or declining crime categories.
+
+
+Testable Hypotheses
+General Crime Rate Hypothesis
+H1: Districts with a higher population density (as calculated by combining the population data with external area data, or simply assuming higher population overall) will have a higher absolute number of non-violent crimes (e.g., Theft, Damage, Graffiti).
+
+H2: The district containing the Regierungsviertel (Government District) will have an above-average rate of Threat and Damage (per capita) compared to residential districts due to its political significance and potential for protest activity.
+
+Demographic and Crime Type Hypotheses
+H3 (Age-related): Locations with a higher proportion of residents in the 65 and older age group will show a higher rate of Burglary per capita compared to the Berlin average, as criminals may perceive these areas as containing more vulnerable targets.
+
+H4 (Age-related): Locations with a higher proportion of the 18 - 27 age group will correlate with a higher rate of Drugs offenses (per capita), reflecting typical patterns of drug use and policing effort.
+
+Specific Crime Hypotheses
+H5 (Temporal Trend): The rate of Car theft (stolen cars) has declined over the years covered in the dataset, due to modern vehicle anti-theft technology.
\ No newline at end of file
diff --git a/sql_scripts/ERD_diagram.sql b/sql_scripts/ERD_diagram.sql
new file mode 100644
index 00000000..72a5f8df
--- /dev/null
+++ b/sql_scripts/ERD_diagram.sql
@@ -0,0 +1,41 @@
+CREATE TABLE IF NOT EXISTS `Population` (
+	`postal_code` INTEGER NOT NULL,
+	`district` VARCHAR(255) NOT NULL,
+	`total` INTEGER NOT NULL,
+	`age_6_under_6` INTEGER NOT NULL,
+	`age_15_to_18` INTEGER NOT NULL,
+	`age_18_to_27` INTEGER NOT NULL,
+	`age_45_to_55` INTEGER NOT NULL,
+	`age_55_to_65` INTEGER NOT NULL,
+	`age_65_plus` INTEGER NOT NULL,
+	`female_total` INTEGER NOT NULL,
+	PRIMARY KEY(`postal_code`)
+);
+
+
+CREATE TABLE IF NOT EXISTS `Crimes` (
+	`Crime_Fact_ID` VARCHAR(1000) NOT NULL UNIQUE,
+	`district_ID` VARCHAR(1000) NOT NULL,
+	`year` INTEGER NOT NULL,
+	`injury` VARCHAR(1000) NOT NULL,
+	`theft` VARCHAR(1000) NOT NULL,
+	`arson` VARCHAR(1000) NOT NULL,
+	`drugs` VARCHAR(1000) NOT NULL,
+	PRIMARY KEY(`Crime_Fact_ID`)
+);
+
+
+CREATE TABLE IF NOT EXISTS `Location` (
+	`district_ID` VARCHAR(1000) NOT NULL,
+	`Region` VARCHAR(1000) NOT NULL,
+	`postal_code` INTEGER NOT NULL AUTO_INCREMENT UNIQUE,
+	PRIMARY KEY(`district_ID`)
+);
+
+
+ALTER TABLE `Location`
+ADD FOREIGN KEY(`postal_code`) REFERENCES `Population`(`postal_code`)
+ON UPDATE NO ACTION ON DELETE NO ACTION;
+ALTER TABLE `Crimes`
+ADD FOREIGN KEY(`district_ID`) REFERENCES `Location`(`district_ID`)
+ON UPDATE NO ACTION ON DELETE NO ACTION;
\ No newline at end of file
diff --git a/sql_scripts/SQL_queries_Alan.W.sql b/sql_scripts/SQL_queries_Alan.W.sql
new file mode 100644
index 00000000..eb171a45
--- /dev/null
+++ b/sql_scripts/SQL_queries_Alan.W.sql
@@ -0,0 +1,79 @@
+create database if not exists Hufflepuff;
+use hufflepuff;
+select * from berlin_crimes;
+show tables;
+SELECT 
+    District,
+    SUM(Robbery + Street_robbery + Injury + Agg_assault +
+        Threat + Theft + Car + From_car + Bike +
+        Burglary + Fire + Arson + Damage + Graffiti +
+        Drugs + Local) AS total_crime
+FROM berlin_crimes
+GROUP BY District
+ORDER BY total_crime DESC
+LIMIT 5;
+SELECT 
+    District,
+    SUM(Robbery + Street_robbery + Agg_assault + Injury + Threat)
+      AS violent_crime
+FROM berlin_crimes
+GROUP BY District
+ORDER BY violent_crime DESC
+LIMIT 5;
+describe population_berlin_clean;
+SELECT 
+    p.District,
+    p.Year,
+    SUM(c.Robbery + c.Street_robbery + c.Injury + c.Agg_assault +
+        c.Threat + c.Theft + c.Car + c.From_car + c.Bike +
+        c.Burglary + c.Fire + c.Arson + c.Damage + c.Graffiti +
+        c.Drugs + c.Local) AS total_crime,
+    p.Population,
+    ROUND(
+        SUM(c.Robbery + c.Street_robbery + c.Injury + c.Agg_assault +
+            c.Threat + c.Theft + c.Car + c.From_car + c.Bike +
+            c.Burglary + c.Fire + c.Arson + c.Damage + c.Graffiti +
+            c.Drugs + c.Local) * 100000.0 / p.Population,
+        1
+    ) AS crime_per_100k
+FROM berlin_crimes c
+JOIN population_berlin_clean p
+    ON p.District = c.District
+   AND p.Year = c.Year
+GROUP BY p.District, p.Year, p.Population
+ORDER BY crime_per_100k DESC
+LIMIT 5;
+SELECT 
+    p.district,
+    SUM(c.Robbery + c.Street_robbery + c.Injury + c.Agg_assault +
+        c.Threat + c.Theft + c.Car + c.From_car + c.Bike +
+        c.Burglary + c.Fire + c.Arson + c.Damage + c.Graffiti +
+        c.Drugs + c.Local) AS total_crime,
+    p.total AS population,
+    ROUND(
+        SUM(c.Robbery + c.Street_robbery + c.Injury + c.Agg_assault +
+            c.Threat + c.Theft + c.Car + c.From_car + c.Bike +
+            c.Burglary + c.Fire + c.Arson + c.Damage + c.Graffiti +
+            c.Drugs + c.Local) * 100000.0 / p.total,
+        1
+    ) AS crime_per_100k
+FROM berlin_crimes c
+JOIN population_berlin_clean p
+    ON LOWER(c.District) = LOWER(p.district)
+GROUP BY p.district, p.total
+ORDER BY crime_per_100k DESC
+LIMIT 5;
+SELECT 
+    District,
+    SUM(Theft + Bike + From_car + Robbery + Street_robbery) AS tourist_risk_crime
+FROM berlin_crimes
+GROUP BY District
+ORDER BY tourist_risk_crime DESC
+LIMIT 5;
+SELECT 
+    District,
+    SUM(Bike + Robbery + Street_robbery) AS nightlife_crime
+FROM berlin_crimes
+GROUP BY District
+ORDER BY nightlife_crime DESC
+LIMIT 10;
diff --git a/sql_scripts/create_database.sql b/sql_scripts/create_database.sql
index e69de29b..8b3b1f7a 100644
--- a/sql_scripts/create_database.sql
+++ b/sql_scripts/create_database.sql
@@ -0,0 +1,47 @@
+use hufflepuff;
+
+CREATE TABLE IF NOT EXISTS population_data (
+    postal_code INT,
+    district VARCHAR(50),
+    total INT,
+    age_under_6 INT,
+    age_6_to_15 INT,
+    age_15_to_18 INT,
+    age_18_to_27 INT,
+    age_27_to_45 INT,
+    age_45_to_55 INT,
+    age_55_to_65 INT,
+    age_65_plus INT,
+    female_total INT
+);
+
+
+CREATE TABLE IF NOT EXISTS location_bridge (
+    district VARCHAR(50),
+    code INT,
+    location VARCHAR(255)
+);
+
+
+CREATE TABLE IF NOT EXISTS crime_data (
+    year INT,
+    district VARCHAR(50),
+    code INT,
+    location VARCHAR(255),
+    robbery INT,
+    street_robbery INT,
+    injury INT,
+    agg_assault INT,
+    threat INT,
+    theft INT,
+    car INT,
+    from_car INT,
+    bike INT,
+    burglary INT,
+    fire INT,
+    arson INT,
+    damage INT,
+    graffiti INT,
+    drugs INT,
+    local INT
+);
diff --git a/sql_scripts/queries_alan.sql b/sql_scripts/queries_alan.sql
new file mode 100644
index 00000000..bf96b3b1
--- /dev/null
+++ b/sql_scripts/queries_alan.sql
@@ -0,0 +1,437 @@
+USE berlincrimes;
+
+ALTER TABLE `bridge`
+ADD FOREIGN KEY(`code`) REFERENCES `population`(`postal_code`)
+ON UPDATE NO ACTION ON DELETE NO ACTION;
+ALTER TABLE `crime`
+ADD FOREIGN KEY(`district_ID`) REFERENCES `bridge`(`district_ID`)
+ON UPDATE NO ACTION ON DELETE NO ACTION;
+
+
+SELECT District from crimes;
+
+SELECT DISTINCT district
+FROM population;
+
+
+
+
+SELECT
+    postal_code,
+    COUNT(*) AS count_of_duplicates
+FROM
+    population
+GROUP BY
+    postal_code
+HAVING
+    COUNT(*) > 1;
+    
+SELECT
+    District,
+    COUNT(*) AS count_of_duplicates
+FROM
+    crimes
+GROUP BY
+    District
+HAVING
+    COUNT(*) > 1;
+    
+SELECT
+    Location,
+    COUNT(*) AS count_of_duplicates
+FROM
+    crimes
+GROUP BY
+    Location
+HAVING
+    COUNT(*) > 1;
+    
+SELECT
+    Code,
+    COUNT(*) AS count_of_duplicates
+FROM
+    crimes
+GROUP BY
+    Code
+HAVING
+    COUNT(*) > 1;
+    
+SELECT
+    location,
+    COUNT(*) AS count_of_duplicates
+FROM
+    locations
+GROUP BY
+    location
+HAVING
+    COUNT(*) > 1;
+
+
+
+-- CRI Analysis by District
+
+SELECT
+    T1.district,
+    ROUND(CAST(SUM(T2.Total_Crimes) AS REAL) / 7) AS Avg_Annual_Crimes,
+    SUM(T1.total) AS Total_Population,
+    ROUND((CAST(SUM(T2.Total_Crimes) AS REAL) / 7 * 1000) / SUM(T1.total)) AS Avg_Annual_Crime_Rate_per_1000
+FROM
+    Population T1
+INNER JOIN
+    (
+        SELECT
+            District,
+            Code,
+            Robbery + Street_robbery + Injury + Agg_assault + Threat + Theft + Car + From_car + Bike + Burglary + Fire + Arson + Damage + Graffiti + Drugs + Local AS Total_Crimes
+        FROM
+            Crimes
+    ) T2 ON T1.district = T2.District
+GROUP BY
+    T1.district
+ORDER BY
+    Avg_Annual_Crime_Rate_per_1000 DESC;
+
+
+
+
+-- Most and least common crime types
+
+SELECT 'Robbery' AS Crime_Type, SUM(Robbery) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Street_robbery' AS Crime_Type, SUM(Street_robbery) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Injury' AS Crime_Type, SUM(Injury) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Agg_assault' AS Crime_Type, SUM(Agg_assault) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Threat' AS Crime_Type, SUM(Threat) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Theft' AS Crime_Type, SUM(Theft) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Car' AS Crime_Type, SUM(Car) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'From_car' AS Crime_Type, SUM(From_car) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Bike' AS Crime_Type, SUM(Bike) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Burglary' AS Crime_Type, SUM(Burglary) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Fire' AS Crime_Type, SUM(Fire) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Arson' AS Crime_Type, SUM(Arson) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Damage' AS Crime_Type, SUM(Damage) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Graffiti' AS Crime_Type, SUM(Graffiti) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Drugs' AS Crime_Type, SUM(Drugs) AS Total_Count FROM Crimes
+UNION ALL
+SELECT 'Local' AS Crime_Type, SUM(Local) AS Total_Count FROM Crimes
+ORDER BY Total_Count DESC;
+
+
+
+
+-- Demographic data
+SELECT
+    district,
+    SUM(age_18_to_27) AS Total_Young_Adults,
+    SUM(total) AS Total_Population,
+    -- Calculate the percentage of the population in the 18-to-27 age group
+    CAST(SUM(age_18_to_27) AS REAL) * 100 / SUM(total) AS Percent_Young_Adults
+FROM
+    Population
+GROUP BY
+    district
+ORDER BY
+    Percent_Young_Adults DESC;
+
+
+
+
+-- crime tuypes per year
+SELECT
+    Year,
+    SUM(Robbery) AS Total_Robbery,
+    SUM(Street_robbery) AS Total_Street_Robbery,
+    SUM(Agg_assault) AS Total_Agg_Assault,
+    SUM(Threat) AS Total_Threat,
+    SUM(Theft) AS Total_Theft,
+    SUM(Car) AS Total_Car_Theft,
+    SUM(From_car) AS Total_Theft_From_Car,
+    SUM(Bike) AS Total_Bike_Theft,
+    SUM(Burglary) AS Total_Burglary,
+    SUM(Fire) AS Total_Fire,
+    SUM(Arson) AS Total_Arson,
+    SUM(Damage) AS Total_Damage,
+    SUM(Graffiti) AS Total_Graffiti,
+    SUM(Drugs) AS Total_Drugs
+FROM
+    crimes
+GROUP BY
+    Year
+ORDER BY
+    Year ASC;
+
+
+-- CRIMES PER YEAR PER DISTRICT
+
+SELECT
+    Year,
+    REPLACE(
+        REPLACE(
+            REPLACE(
+                REPLACE(District, 'ä', 'ae'), 
+                'ö', 'oe'
+            ), 
+            'ü', 'ue'
+        ),
+        'ß', 'ss'
+    ) AS Corrected_District,
+    SUM(Robbery + Street_robbery + Injury + Agg_assault + Threat + Theft + Car + From_car + Bike + Burglary + Fire + Arson + Damage + Graffiti + Drugs + Local) AS Total_Crimes_Per_District_Year
+FROM
+    Crimes
+GROUP BY
+    Year,
+    REPLACE(
+        REPLACE(
+            REPLACE(
+                REPLACE(District, 'ä', 'ae'), 
+                'ö', 'oe'
+            ), 
+            'ü', 'ue'
+        ),
+        'ß', 'ss'
+    )
+ORDER BY
+    Year ASC,
+    Total_Crimes_Per_District_Year DESC;
+
+
+-- The most dangerous place in Berlin
+SELECT
+    location,
+    SUM(
+        robbery + street_robbery + injury + agg_assault + threat + theft +
+        car + from_car + bike + burglary + fire + arson + damage +
+        graffiti + drugs + local
+    ) AS total_crimes
+FROM
+    crimes
+GROUP BY
+    location
+ORDER BY
+    total_crimes DESC;
+    
+    
+-- The most dangerous place in Berlin per Year
+SELECT
+    YearlyCrimes.location,
+
+    SUM(CASE WHEN YearlyCrimes.year = 2012 THEN YearlyCrimes.total_crimes ELSE 0 END) AS '2012',
+    SUM(CASE WHEN YearlyCrimes.year = 2013 THEN YearlyCrimes.total_crimes ELSE 0 END) AS '2013',
+    SUM(CASE WHEN YearlyCrimes.year = 2014 THEN YearlyCrimes.total_crimes ELSE 0 END) AS '2014',
+    SUM(CASE WHEN YearlyCrimes.year = 2015 THEN YearlyCrimes.total_crimes ELSE 0 END) AS '2015',
+    SUM(CASE WHEN YearlyCrimes.year = 2016 THEN YearlyCrimes.total_crimes ELSE 0 END) AS '2016',
+    SUM(CASE WHEN YearlyCrimes.year = 2017 THEN YearlyCrimes.total_crimes ELSE 0 END) AS '2017',
+    SUM(CASE WHEN YearlyCrimes.year = 2018 THEN YearlyCrimes.total_crimes ELSE 0 END) AS '2018',
+    SUM(CASE WHEN YearlyCrimes.year = 2019 THEN YearlyCrimes.total_crimes ELSE 0 END) AS '2019'  
+
+FROM (
+    SELECT
+        year,
+        location,
+        SUM(
+            robbery + street_robbery + injury + agg_assault + threat + theft +
+            car + from_car + bike + burglary + fire + arson + damage +
+            graffiti + drugs + local
+        ) AS total_crimes
+    FROM
+        crimes
+    WHERE
+        year BETWEEN 2012 AND 2019
+    GROUP BY
+        year, location
+) AS YearlyCrimes
+GROUP BY
+    YearlyCrimes.location
+ORDER BY
+SUM(CASE WHEN YearlyCrimes.year = 2019 THEN YearlyCrimes.total_crimes ELSE 0 END) DESC;
+
+
+
+
+-- most common crimes in alexanderplatz in 2019
+
+SELECT
+    crime_type,
+    SUM(total_count) AS total_count 
+FROM (
+     --  the Robbery numbers
+    SELECT 'robbery' AS crime_type, robbery AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019 -- only want Alexplatz and 2019 data!
+    UNION ALL
+
+    --  Street Robbery numbers 
+    SELECT 'street_robbery' AS crime_type, street_robbery AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    --  Injury numbers
+    SELECT 'injury' AS crime_type, injury AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    --  Aggravated Assault 
+    SELECT 'agg_assault' AS crime_type, agg_assault AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    --  Threat numbers
+    SELECT 'threat' AS crime_type, threat AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    --  Theft 
+    SELECT 'theft' AS crime_type, theft AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    --  Car-related Crimes 
+    SELECT 'car' AS crime_type, car AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    -- Theft From Car (separate from 'car' for some reason)
+    SELECT 'from_car' AS crime_type, from_car AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    -- Bike Theft
+    SELECT 'bike' AS crime_type, bike AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    -- Burglary
+    SELECT 'burglary' AS crime_type, burglary AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    -- Fire incidents
+    SELECT 'fire' AS crime_type, fire AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    --  Arson
+    SELECT 'arson' AS crime_type, arson AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    -- Damage
+    SELECT 'damage' AS crime_type, damage AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    -- Graffiti
+    SELECT 'graffiti' AS crime_type, graffiti AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    -- drugs Crimes
+    SELECT 'drugs' AS crime_type, drugs AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+    UNION ALL
+
+    -- Local Crimes
+    SELECT 'local' AS crime_type, local AS total_count
+    FROM crimes
+    WHERE location = 'alexanderplatz' AND year = 2019
+) AS UnpivotedCrimes 
+GROUP BY
+    crime_type
+ORDER BY
+    total_count DESC;
+    
+    
+    -- Hypothesis 4 verification: drug crimes in younger neighbourhoods
+WITH AggregatedPopulation AS (
+    SELECT
+        district,
+        SUM(total) AS total_pop,
+        SUM(age_18_to_27) AS age_18_27_pop
+    FROM
+        population
+    GROUP BY
+        district
+    HAVING
+        SUM(total) > 10000
+)
+SELECT
+    ap.district,
+    ap.total_pop AS District_Population,
+    ap.age_18_27_pop AS Age_18_27_Total,
+    ROUND(
+        (CAST(ap.age_18_27_pop AS REAL) / ap.total_pop) * 100, 
+        2
+    ) AS Age_18_27_Proportion_Percent,
+    SUM(c.drugs) AS Total_Drugs_Offenses,
+    ROUND(
+        (CAST(SUM(c.drugs) AS REAL) / NULLIF(ap.total_pop, 0)) * 1000, 
+        2
+    ) AS Drugs_Rate_Per_1K_Total_Pop
+
+FROM
+    AggregatedPopulation ap
+JOIN
+    crimes c ON ap.district = c.district
+
+GROUP BY
+    ap.district, ap.total_pop, ap.age_18_27_pop
+ORDER BY
+    Drugs_Rate_Per_1K_Total_Pop DESC;
+    
+    
+    
+    -- hypothesis 5 verification, car theft decline over time
+    WITH YearlyCrimeData AS (
+    SELECT
+        year,
+        SUM(car) AS Total_Car_Offenses
+    FROM
+        crimes
+    GROUP BY
+        year
+),
+TotalPopulation AS (
+    SELECT
+        SUM(total) AS Overall_Total_Population
+    FROM
+        population
+)
+SELECT
+    ycd.year,
+    ycd.Total_Car_Offenses,
+    tp.Overall_Total_Population,
+    (CAST(ycd.Total_Car_Offenses AS REAL) / tp.Overall_Total_Population) * 100000 AS Car_Theft_Rate_Per_100K
+
+FROM
+    YearlyCrimeData ycd
+CROSS JOIN 
+    TotalPopulation tp
+ORDER BY
+    ycd.year;
\ No newline at end of file
diff --git a/sql_scripts/queries_carlos.sql b/sql_scripts/queries_carlos.sql
new file mode 100644
index 00000000..b3800e69
--- /dev/null
+++ b/sql_scripts/queries_carlos.sql
@@ -0,0 +1,292 @@
+use hufflepuff;
+
+
+# 
+#-------------------------------------------------------------------------------------
+
+#Total crimes per district
+
+SELECT district, SUM(robbery + street_robbery + injury + agg_assault + threat + theft +
+                     car + from_car + bike + burglary + fire + arson + damage + graffiti +
+                     drugs + local) AS total_crime
+FROM crime_data
+GROUP BY district
+ORDER BY total_crime DESC;
+
+#Total crimes per district per year
+
+SELECT year, district,
+       SUM(robbery + street_robbery + injury + agg_assault + threat + theft +
+           car + from_car + bike + burglary + fire + arson + damage +
+           graffiti + drugs + local) AS total_crime
+FROM crime_data
+GROUP BY year, district
+ORDER BY year, total_crime DESC;
+
+# Most dangerous locations
+
+SELECT location,
+       SUM(robbery + street_robbery + injury + agg_assault + threat + theft +
+           car + from_car + bike + burglary + fire + arson + damage +
+           graffiti + drugs + local) AS total_crime
+FROM crime_data
+GROUP BY location
+ORDER BY total_crime DESC
+LIMIT 20;
+
+
+# Crimes per 1,000 residents
+
+SELECT c.code,
+       c.location,
+       SUM(robbery + street_robbery + injury + agg_assault + threat + theft +
+           car + from_car + bike + burglary + fire + arson + damage +
+           graffiti + drugs + local) AS crimes,
+       p.total AS population,
+       ROUND(
+         SUM(robbery + street_robbery + injury + agg_assault + threat +
+             theft + car + from_car + bike + burglary + fire + arson +
+             damage + graffiti + drugs + local) / p.total * 1000, 2
+       ) AS crimes_per_1000
+FROM crime_data c
+JOIN population_data p ON c.code = p.postal_code
+GROUP BY c.code, c.location, p.total
+ORDER BY crimes_per_1000 DESC;
+
+
+# violent crimes per district
+
+SELECT 
+    district,
+    SUM(robbery + street_robbery + injury + agg_assault + threat) AS violent_crime
+FROM crime_data
+GROUP BY district
+ORDER BY violent_crime DESC;
+
+# theft related crimes 
+
+SELECT 
+    district,
+    SUM(theft + car + from_car + bike) AS theft_related_crimes
+FROM crime_data
+GROUP BY district
+ORDER BY theft_related_crimes DESC;
+
+
+SELECT c.code, p.postal_code
+FROM crime_data c
+LEFT JOIN population_data p ON c.code = p.postal_code
+WHERE p.postal_code IS NULL
+LIMIT 20;
+
+SELECT c.code, c.location
+FROM crime_data c
+LEFT JOIN population_data p
+    ON CAST(c.code AS UNSIGNED) = CAST(p.postal_code AS UNSIGNED)
+WHERE p.postal_code IS NULL;
+
+
+# District crimes per 1000 residents
+
+SELECT 
+    LOWER(c.district) AS district,
+    SUM(
+        c.robbery + c.street_robbery + c.injury + c.agg_assault + c.threat +
+        c.theft + c.car + c.from_car + c.bike + c.burglary + c.fire + 
+        c.arson + c.damage + c.graffiti + c.drugs + c.local
+    ) AS total_crimes,
+    p.total AS population,
+    ROUND(
+        SUM(
+            c.robbery + c.street_robbery + c.injury + c.agg_assault + c.threat +
+            c.theft + c.car + c.from_car + c.bike + c.burglary + c.fire + 
+            c.arson + c.damage + c.graffiti + c.drugs + c.local
+        ) / p.total * 1000, 2
+    ) AS crimes_per_1000
+FROM crime_data c
+JOIN population_data p
+    ON LOWER(c.district) = LOWER(p.district)
+GROUP BY district, p.total
+ORDER BY crimes_per_1000 DESC;
+
+
+# districts by crime type
+
+SELECT 
+    LOWER(c.district) AS district,
+    SUM(c.robbery) AS robbery,
+    SUM(c.theft) AS theft,
+    SUM(c.agg_assault) AS agg_assault,
+    SUM(c.street_robbery) AS street_robbery,
+    p.total AS population,
+    ROUND(SUM(c.robbery + c.street_robbery + c.agg_assault + c.theft) / p.total * 1000, 2) AS crimes_per_1000
+FROM crime_data c
+JOIN population_data p
+    ON LOWER(c.district) = LOWER(p.district)
+GROUP BY district, p.total
+ORDER BY crimes_per_1000 DESC;
+
+CREATE TEMPORARY TABLE population_unique AS
+SELECT 
+    LOWER(district) AS district,
+    MAX(total) AS total
+FROM population_data
+GROUP BY LOWER(district);
+
+SELECT 
+    LOWER(c.district) AS district,
+    SUM(c.robbery) AS robbery,
+    SUM(c.street_robbery) AS street_robbery,
+    SUM(c.injury) AS injury,
+    SUM(c.agg_assault) AS agg_assault,
+    SUM(c.threat) AS threat,
+    SUM(c.theft) AS theft,
+    SUM(c.car) AS car,
+    SUM(c.from_car) AS from_car,
+    SUM(c.bike) AS bike,
+    SUM(c.burglary) AS burglary,
+    SUM(c.fire) AS fire,
+    SUM(c.arson) AS arson,
+    SUM(c.damage) AS damage,
+    SUM(c.graffiti) AS graffiti,
+    SUM(c.drugs) AS drugs,
+    SUM(c.local) AS local,
+    p.total AS population
+FROM crime_data c
+JOIN population_unique p
+    ON LOWER(c.district) = p.district
+GROUP BY district, p.total
+ORDER BY district;
+
+
+# Age and Crime Correlation 
+
+SELECT 
+    p.district,
+    SUM(p.age_18_to_27 + p.age_27_to_45) AS young_population,
+    SUM(p.age_55_to_65 + p.age_65_plus) AS older_population,
+    SUM(c.robbery + c.street_robbery + c.injury + c.agg_assault + c.threat) AS violent_crime
+FROM population_data p
+LEFT JOIN crime_data c
+    ON LOWER(p.district) = LOWER(c.district)
+GROUP BY p.district;
+
+# violent crimes against young and older population
+
+SELECT 
+    p.district,
+    SUM(p.age_18_to_27 + p.age_27_to_45) AS young_population,
+    SUM(p.age_55_to_65 + p.age_65_plus) AS older_population,
+    SUM(c.robbery + c.street_robbery + c.injury + c.agg_assault + c.threat) AS violent_crime
+FROM population_data p
+LEFT JOIN crime_data c
+    ON LOWER(p.district) = LOWER(c.district)
+GROUP BY p.district
+ORDER BY violent_crime DESC;
+
+# Specific crime type per age group
+
+SELECT 
+    p.district,
+    SUM(p.age_18_to_27 + p.age_27_to_45) AS young_population,
+    SUM(p.age_55_to_65 + p.age_65_plus) AS older_population,
+    SUM(c.theft) AS general_theft,
+    SUM(c.car) AS car_theft,
+    SUM(c.from_car) AS theft_from_car,
+    SUM(c.bike) AS bike_theft,
+    SUM(c.theft + c.car + c.from_car + c.bike) AS total_theft
+FROM population_data p
+LEFT JOIN crime_data c
+    ON LOWER(p.district) = LOWER(c.district)
+GROUP BY p.district
+ORDER BY total_theft DESC;
+
+#  violent crime type per 1000 residents by age group
+
+SELECT 
+    p.district,
+    SUM(p.age_18_to_27 + p.age_27_to_45) AS young_population,
+    SUM(p.age_55_to_65 + p.age_65_plus) AS older_population,
+    SUM(c.robbery + c.street_robbery + c.injury + c.agg_assault + c.threat) AS violent_crime,
+    ROUND(SUM(c.robbery + c.street_robbery + c.injury + c.agg_assault + c.threat)
+          / SUM(p.age_18_to_27 + p.age_27_to_45) * 1000, 2) AS violent_per_1000_young,
+    ROUND(SUM(c.robbery + c.street_robbery + c.injury + c.agg_assault + c.threat)
+          / SUM(p.age_55_to_65 + p.age_65_plus) * 1000, 2) AS violent_per_1000_older
+FROM population_data p
+LEFT JOIN crime_data c
+    ON LOWER(p.district) = LOWER(c.district)
+GROUP BY p.district;
+
+
+#--------------------------------------------------------------------------------------------------
+
+# H1 – General Crime Rate vs Population
+
+-- Create a unique population per district
+CREATE TEMPORARY TABLE population_unique AS
+SELECT 
+    LOWER(district) AS district,
+    MAX(total) AS total
+FROM population_data
+GROUP BY LOWER(district);
+
+-- Total crimes per district, aggregated
+SELECT 
+    LOWER(c.district) AS district,
+    SUM(c.robbery + c.street_robbery + c.injury + c.agg_assault + c.threat +
+        c.theft + c.car + c.from_car + c.bike + c.burglary + c.fire + 
+        c.arson + c.damage + c.graffiti + c.drugs + c.local) AS total_crimes,
+    p.total AS population,
+    ROUND(SUM(c.robbery + c.street_robbery + c.injury + c.agg_assault + c.threat +
+        c.theft + c.car + c.from_car + c.bike + c.burglary + c.fire + 
+        c.arson + c.damage + c.graffiti + c.drugs + c.local) / p.total * 1000, 2) 
+        AS crimes_per_1000
+FROM crime_data c
+JOIN population_unique p
+    ON LOWER(c.district) = p.district
+GROUP BY LOWER(c.district), p.total
+ORDER BY total_crimes DESC;
+
+
+# H2 – Regierungsviertel Threat & Damage
+
+SELECT
+    LOWER(c.district) AS district,
+    ROUND(SUM(c.threat + c.damage) / SUM(p.total) * 1000, 2) AS threat_damage_per_1000
+FROM crime_data c
+JOIN population_data p
+    ON LOWER(c.district) = LOWER(p.district)
+GROUP BY LOWER(c.district)
+ORDER BY threat_damage_per_1000 DESC;
+
+
+# H3 – Older Population & Burglary
+
+SELECT
+    LOWER(p.district) AS district,
+    SUM(p.age_55_to_65 + p.age_65_plus) AS older_population,
+    SUM(c.burglary) AS total_burglary,
+    ROUND(SUM(c.burglary) / SUM(p.age_55_to_65 + p.age_65_plus) * 1000, 2) AS burglary_per_1000_older
+FROM population_data p
+LEFT JOIN crime_data c
+    ON LOWER(p.district) = LOWER(c.district)
+GROUP BY district;
+
+# H4 – Young Population & Drug Offenses
+
+SELECT
+    LOWER(p.district) AS district,
+    SUM(p.age_18_to_27 + p.age_27_to_45) AS young_population,
+    SUM(c.drugs) AS total_drugs,
+    ROUND(SUM(c.drugs) / SUM(p.age_18_to_27 + p.age_27_to_45) * 1000, 2) AS drugs_per_1000_young
+FROM population_data p
+LEFT JOIN crime_data c
+    ON LOWER(p.district) = LOWER(c.district)
+GROUP BY district;
+
+# H5 – Car Theft Trend Over Years
+
+SELECT year, SUM(car) AS total_car_theft
+FROM crime_data
+GROUP BY year
+ORDER BY year ASC;