Replication Data for: A Space for Development: Housing Markets in Latin America and the Caribbean

By Department of Research and Chief Economist (VPS/RES/RES)

This dataset was developed to support the 2012 Development in the Americas (DIA) report – Room for Development: Housing Markets in Latin America and the Caribbean. It provides a foundation for analyzing housing market indicators across the region, with a focus on urban housing and long-term trends.

The dataset includes key housing indicators that enable cross-country comparison and policy analysis. It is especially relevant to studies of housing indicators in Latin America, supporting research on affordability, access, and demand.

By linking to the DIA’s thematic work, the dataset also contributes to broader efforts in housing price analysis in Latin America, helping researchers and policymakers better understand the functioning of housing markets.

Note: The related publication is available only in Spanish.

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Metadata & use

Identifier https://doi.org/10.60966/ooag3635
License Creative Commons Attribution–NonCommercial–NoDerivs 3.0 IGO
Related Knowledge Product
Citation

Inter-American Development Bank (2015). Replication Data for: A Space for Development: Housing Markets in Latin America and the Caribbean. IDB Open Data. https://doi.org/10.60966/ooag3635

Published date 2015-01-30
Modified date 2026-10-28
Tags/Keywords Andean Community Of Nations · Caribbean Countries · Central America · Development · Housing · Housing Markets · LAC · LAC-7
Language
  1. Spanish
Temporal coverage 1990-2013
Country
Argentina
Bolivia
Brazil
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Guatemala
Honduras
Mexico
Nicaragua
Panama
Paraguay
Peru
Uruguay
Venezuela
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
Dataset unit of observation

Country

Data notes

What are the key metrics used to measure housing market health?

The dataset tracks affordability ratios (house price-to-income), housing deficits, tenure types (ownership vs rental), and urban housing supply indicators. These metrics provide a baseline for evaluating the health of the housing market across Latin American countries.

What are the current housing deficit statistics in Latin America by country?

The dataset includes national-level housing deficit figures. For example, countries like Bolivia and Nicaragua show higher relative deficits compared to Chile or Uruguay, reflecting uneven housing provision across the region.

Why is housing affordability declining in Latin American urban centers?

Data show that rapid urbanization and rising property prices outpace income growth. Affordability ratios worsen in major capitals, where median home prices have grown faster than wages, leading to declining affordability.

What social housing policies and government subsidy programs are used to expand access to affordable housing in Latin America?

The dataset documents subsidy coverage and social housing stock. For example, Chile’s voucher-based system and Mexico’s INFONAVIT program are highlighted as distinct approaches to expanding access to affordable housing.

How do urbanization rates affect housing demand and shortages in Latin America?

The dataset links urbanization trends to housing shortages. Rapid migration into cities increases demand, often outstripping formal housing supply and contributing to informal settlements.

What do the statistics reveal about formal versus informal housing in Latin American cities?

Informal housing prevalence is a key indicator. The dataset measures slum prevalence, overcrowding, and tenure insecurity, showing that informal housing remains widespread in countries like Brazil and Colombia.

What are the primary metrics used to evaluate housing affordability across Latin American capital cities?

Affordability is measured using price-to-income, rent-to-income, and residual income ratios. These indicators show stress when housing costs exceed 30–40% of household income.

How does the prevalence of informal housing impact national housing indicators in Brazil and Colombia?

High levels of informal housing distort official housing statistics. The dataset notes that slums and favelas are often undercounted, leading to underestimated housing deficits and affordability challenges.

What are the key differences between Chile’s housing voucher system and Mexico’s INFONAVIT payroll-linked mortgage financing model?

Chile’s model provides direct demand-side subsidies (vouchers), while Mexico’s INFONAVIT operates through payroll-linked mortgage financing. The dataset highlights these as contrasting approaches to expanding access.

What housing indicators are used in Latin America, and how are they defined and measured?

The dataset defines indicators such as affordability (price-to-income ratio), tenure (ownership vs. rental), overcrowding (persons per room), housing quality (access to services), and slum prevalence. These are standardized across countries for comparability.

What are the trends in housing affordability across Latin America since 2000?

The dataset shows worsening affordability in fast-growing urban centers, with housing costs rising faster than incomes. Countries with stronger subsidy programs (e.g., Chile) tend to achieve relatively better affordability outcomes.

Why are informal settlements often undercounted in Latin American housing indicators and surveys?

Survey and census methodologies often exclude or under-sample informal settlements. The dataset notes this as a limitation, leading to an underestimation of housing deficits.

What are the key housing policy indicators for Latin America?

The dataset includes social housing stock, subsidy coverage, mortgage penetration, and tenure regularization rates. These indicators are used to evaluate policy effectiveness across countries.

What are the best data sources for housing indicators in Latin America?

The dataset integrates census data, national household surveys, and administrative records. It highlights harmonization challenges across countries due to differing definitions of housing quality and affordability.

Dataset files

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