Housing and affordability data

Housing affordability is a defining social and economic issue, and data underpins understanding it. This guide covers housing and affordability data.

Why housing data matters

Housing affects living standards, the economy and policy. Data on stock, tenure, prices and affordability supports policy, investment and social analysis.

The data landscape

• Stock and tenure: housing supply and ownership.
• Prices and rents: cost and trends.
• Affordability: income-to-cost ratios.
• Need: housing demand and pressure.

Common use cases

Policy and planning, investment and development, social and economic research, and risk.

Sourcing considerations

Official statistics and registers provide much data, with commercial sources adding price and rent detail. Definitions and geographies vary, so harmonisation matters, and some data is personal.

Delivery and governance

Most use cases use batches. Provenance and methodology matter for policy use, and personal data needs care.

In a managed model

A managed partner can combine official and commercial housing data, harmonised and documented.

Combining official and commercial sources

Housing analysis blends official statistics and registers (stock, tenure, prices) with commercial sources that add price and rent detail. Definitions and geographies vary, so harmonisation matters, and some data is personal. The value is a coherent view of supply, cost and affordability on consistent geography, supporting policy, investment and social research.

Provenance for policy use

Because housing data feeds policy and investment decisions, methodology and provenance matter, and personal data within registers needs care. Triangulating sources guards against the gaps and lags in any single one.

Sources & further reading

• Eurostat: housing statistics and affordability.
• National housing and statistical agencies.
• Commercial price and rent data.
• EUR-Lex: Regulation (EU) 2016/679 (GDPR).