🏘️ Housing Deficit Peru

This repository contains data processing scripts and a dashboard prototype to estimate and visualize the housing deficit across Peruvian districts using census microdata. The project was originally developed as part of a consulting engagement with the Peruvian Association of Real Estate Companies (ASEI).

📊 Project Overview

Objective

To provide granular, district-level estimates of Peru's housing deficit by type (quantitative vs. qualitative) using 2017 Census data, and to visualize the results in an interactive dashboard.

Tools and Technologies

• R for data manipulation, analysis, and dashboard development
• Redatam for querying microdata from the Peruvian National Census
• Shiny for interactive visualization

📁 Repository Structure

HousingDeficitPeru/
│
├── data/                           # Contains output datasets
│   ├── housing_deficit.csv         # Contains housing deficit indicators based on INEI's methodology
│   └── housing_deficit_new.csv     # Contains housing deficit indicators based on a new methodology
│
├── census_scripts/                 # Scripts for data processing and transformation using REDATAM
│   ├── housing_indicators.spc      # Script for generating housing deficit indicators based on INEI's methodology
│   └── housing_new_indicators.spc  # Script for generating housing deficit indicators based on a new methodology
│
├── dashboard/              # Shiny dashboard source code
│   └── app.R
│
└── README.md               # Project documentation (this file)

📐 Methodology

The housing deficit is estimated based on official definitions provided by the National Office of Statistics and Informatics (INEI), distinguishing between:

• Quantitative Deficit: Households without a dwelling or living in non-durable dwellings.
• Qualitative Deficit: Households living in dwellings lacking basic services or requiring major improvements.

Key steps:

• Data extraction using Redatam based on selected variables.
• Data cleaning to standardize responses and define indicator thresholds.
• Visualization using Shiny for dynamic exploration of results.

🌐 Access the Dashboard

Explore the interactive dashboard here: 👉 Housing Deficit in Peru Dashboard

Use the interface to:

• Filter by region and housing deficit type
• Compare district-level estimates