Housing & Purchasing Power
An examination of how affordable it is to buy and rent housing for families at different income levels across the world's major regions.
Housing: The Largest Household Expenditure
For most households worldwide, housing — whether owned or rented — represents the single largest component of their budget. The affordability of housing directly shapes families' ability to allocate income toward other essential needs, savings, and investment in their future.
Afforvia tracks housing affordability using two primary metrics: the Price-to-Income Ratio (PIR) for ownership markets and the Rent-to-Income Ratio (RIR) for rental markets. These are calculated across income quintiles to reflect the experience of lower-, middle-, and higher-income households separately.
Understanding the Metrics
Two ratios anchor our housing affordability analysis. Both are simple, internationally comparable, and well-established in the economics literature.
Price-to-Income Ratio (PIR)
The PIR compares median home purchase prices to median annual gross household income. A PIR of 5.0 means a median-priced home costs five years of gross household income. Lower values indicate greater affordability for buyer households.
< 3.0 — Affordable
3.0 – 5.0 — Moderately Unaffordable
5.0 – 7.0 — Seriously Unaffordable
> 7.0 — Severely Unaffordable
Rent-to-Income Ratio (RIR)
The RIR measures monthly rental costs as a percentage of gross monthly household income. Standard guidance holds that households spending more than 30% of income on rent face housing cost burden; above 50% is considered severe burden.
< 20% — Affordable
20% – 30% — Moderate
30% – 50% — Cost Burdened
> 50% — Severely Burdened
How We Classify Affordability
Afforvia uses a three-tier classification to summarize overall housing affordability conditions in each region, taking into account both PIR and RIR values across income groups.
Housing Affordability by World Region
The table below presents estimated median Price-to-Income and Rent-to-Income ratios by major world region, drawn from aggregated international data. Values reflect broad regional medians and mask significant within-region variation.
| Region | Median PIR | Median RIR | Affordability Tier | Key Factor |
|---|---|---|---|---|
| Northern Europe | 3.8 | 22% | High Affordability | Strong wages, social housing programs |
| Western Europe | 6.2 | 31% | Moderate | Urban supply constraints |
| Southern Europe | 8.1 | 38% | Low Affordability | Tourism pressure, wage stagnation |
| Eastern Europe | 5.4 | 28% | Moderate | Rapid urbanization, improving wages |
| North America | 6.8 | 33% | Moderate | Supply shortage in major metros |
| Latin America | 6.5 | 35% | Moderate | Income inequality, informal settlements |
| Sub-Saharan Africa | 9.7 | 52% | Low Affordability | Low wages, housing finance gaps |
| Middle East & North Africa | 7.4 | 37% | Moderate | Significant urban-rural divide |
| South Asia | 8.9 | 44% | Low Affordability | Rapid urbanization, land scarcity |
| Southeast Asia | 5.9 | 30% | Moderate | Rising middle class, active construction |
| East Asia | 11.3 | 42% | Low Affordability | Extremely high urban land prices |
| Australia & New Zealand | 8.5 | 29% | Moderate | High incomes offset elevated prices |
Data sourced from World Bank, OECD, and UN-Habitat reports. Values are regional medians (approximately 2022–2024) and carry significant uncertainty. See Methodology for details.
Affordability Varies Dramatically Across Income Groups
Regional averages can obscure the most critical dimension of housing affordability: income level. A household in the bottom income quintile (lowest 20% of earners) may face a rent burden three to four times higher than a household in the top quintile — even within the same city or country.
Afforvia decomposes affordability metrics by income quintile to surface these inequalities, using household income survey data from national statistics offices and the Luxembourg Income Study (LIS).
Bottom Quintile (Q1)
Households in the lowest 20% of income. Often face RIR above 50% and are frequently excluded from formal purchase markets entirely.
Middle Quintiles (Q2–Q4)
The "squeeze" group in many high-cost cities: too high-income for social housing eligibility, but struggling with market rents and purchase prices.
Top Quintile (Q5)
Upper-income households generally maintain housing cost burdens well within recommended thresholds even in high-cost markets.
What Shapes Housing Affordability?
Housing affordability is determined by the interaction of supply-side, demand-side, and financial factors that vary significantly across national and local contexts.
Housing Supply
The rate of new housing construction relative to population growth is the single most important long-run determinant of affordability. Zoning restrictions, planning delays, and construction costs all constrain supply.
Mortgage Market Access
The availability and cost of mortgage financing determines who can participate in ownership markets. High interest rates and strict lending criteria price out lower-income households even when prices appear stable.
Wage Growth vs. Price Growth
When housing prices grow faster than wages over sustained periods — as occurred in many economies from 2010 to 2023 — affordability deteriorates even if absolute price levels remain unchanged for a year or two.
Urbanization & Migration
Strong population inflows into major metropolitan areas generate persistent demand pressure that supply, in most cities, has been slow to meet. The affordability crisis is primarily an urban phenomenon.
Regulatory Environment
Rent control regimes, tenant protections, landlord regulations, and planning laws shape rental market outcomes in ways that can simultaneously protect existing tenants while restricting supply.
Investment & Speculation
In some markets, residential property as an investment asset class drives demand that is partially disconnected from local incomes, contributing to price appreciation beyond what fundamental demand would predict.
Want to understand how we calculate these figures?
Our Methodology & Data Sources page documents every calculation method, data source, and assumption used in Afforvia's housing affordability analysis.