Dataset of Housing Indicators in Argentina, Brazil, Colombia, and Mexico: 2000-2015

By Fiscal Management Division (VPS/IFD/FMM)

The Housing Affordability Dataset provides access to reliable and comparable data on urban housing and development across Latin America. It includes detailed housing market indicators and information on policies, affordability measures, and best practices related to housing conditions.

This dataset focuses on four key countries — Argentina, Brazil, Colombia, and Mexico — offering insights into the Argentina housing market, housing affordability in Argentina, and similar trends in Mexico and Brazil.

By combining quantitative indicators and policy information, this resource helps researchers and policymakers analyze housing affordability challenges, track progress in urban development, and design evidence-based solutions for inclusive housing systems in the region.

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Metadata & use

Identifier https://doi.org/10.60966/hkxjlii8
License Creative Commons Attribution–NonCommercial–NoDerivs 3.0 IGO
Citation

Inter-American Development Bank (2016). Dataset of Housing Indicators in Argentina, Brazil, Colombia, and Mexico: 2000-2015. IDB Open Data. https://doi.org/10.60966/hkxjlii8

Published date 2016-04-12
Modified date 2026-08-26
Tags/Keywords Housing · Housing Indicators · Urban Development
Language
  1. English
Temporal coverage 2000-2015
Country
Argentina
Brazil
Colombia
Mexico
Region Latin America and the Caribbean
Publisher
Inter-American Development Bank
Author
Inter-American Development Bank
Data collection type Observational Data
Statistical type Panel Data
Data structure Structured Data
Data notes

What is the purpose of the Housing Affordability Dataset?

The Housing Affordability Dataset provides users with high-quality data on urban housing and development, helping policymakers, researchers, and citizens understand affordability challenges and housing market dynamics in Latin America.

Which countries are included in the dataset?

The dataset covers Argentina, Brazil, Colombia, and Mexico, providing insights into the Argentina housing market, housing affordability in Mexico, and housing affordability in Brazil, among others.

What does the dataset measure?

It compiles housing market indicators describing affordability, access to housing, and quality of living. These include measures of income-to-price ratios, rent burdens, housing quality, and public policy frameworks.

Why is this dataset important?

The dataset helps identify housing affordability gaps across Latin American countries and supports evidence-based decision-making to design inclusive housing policies that improve access to safe and affordable housing.

What time period does the data cover?

The dataset includes the most recent data available for participating countries, featuring both historical and current indicators that enable cross-country and time-series comparisons.

How can researchers use the Housing Affordability Dataset?

Researchers can use the data to:
- Compare housing affordability across different urban areas and countries.
- Study the relationship between housing prices, income, and policy interventions.
- Analyze trends in housing market indicators to assess market resilience and inequality.

Who produced the dataset?

The dataset was developed and published by the Inter-American Development Bank (IADB) as part of its mission to promote sustainable urban development and the effectiveness of housing policy across Latin America.

What insights does it provide for Argentina, Brazil, and Mexico?

For Argentina, the dataset provides evidence on housing affordability and income disparities across metropolitan areas.
For Brazil, it tracks the evolution of housing access and public investment.
For Mexico, it measures affordability levels, mortgage market trends, and rental price dynamics.

Can this dataset be linked with other housing-related data?

Yes. The Housing Affordability Dataset can be used alongside national census data, World Bank housing indicators, or other IDB datasets on urban development and infrastructure to support more in-depth policy analysis.

Dataset files

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