House prices are one of the most watched numbers in any economy — but comparing them across countries has always been painful. Every national statistics office measures property prices its own way, on its own base year, with its own coverage and release schedule. Pulling a consistent, cross-country view meant collecting series from dozens of sources and reconciling their methodologies by hand.
The new Real Estate Data API does that work for you — residential property price statistics for more than sixty countries, sourced from the Bank for International Settlements and served through one consistent API in JSON and CSV.
What’s inside
The dataset covers two BIS series. Selected Property Prices are the harmonised headline index, built so that levels and growth rates are comparable across countries: each observation is available as a nominal value and as a real value, and as a price index or a year-on-year change, rebased to a common base year. Detailed Property Prices go deeper into each country, breaking the market down by region, dwelling type and index vintage — the fuller national picture that is not harmonised but far more granular.
Together they span more than sixty countries plus BIS aggregate regions such as the euro area and advanced economies. Country names and every BIS dimension code come with human-readable labels, so a detailed record tells you it covers big cities, all dwelling types and existing stock — not just a set of raw codes.
Who it’s for
Macro and real-estate analysts comparing housing cycles across markets, quant researchers building signals from property price momentum, and anyone tracking housing affordability or financial-stability risk who wants this data clean and queryable instead of stitched together from national sources.
How it works
The API uses the same api_token authentication as the rest of the EODHD API and returns a clean JSON envelope with data, meta and links. Start by listing the available countries and the datasets each one carries, then request the Selected Property Prices for a country, its Detailed Property Prices observations, or the catalogue of detailed series available for it. You can filter by period range, price basis, metric and the BIS dimensions, and add fmt=csv to any endpoint to get the same data as a CSV download.
A request looks like this:
https://eodhd.com/api/real-estate/US?api_token=YOUR_TOKEN&filter%5Btype%5D=real&filter%5Bmetric%5D=indexAnd you get back structured, ready-to-use records — the period, the value, the price basis and metric, with the dataset source and base year in the meta block.
The Real Estate Data API is available now on the All-in-one and Fundamentals plans. Full endpoint reference, parameters and response fields are in the documentation.
