National and Regional House Price Indices - Headline indicators
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Residential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers measuring the evolution of residential property prices over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. Among their professional uses, they serve, for example, to monitor macroeconomic imbalances and risk exposure of the financial sector.

This dataset includes RPPI compiled by official statistical agencies following international statistical guidelines. It covers all OECD member countries and some non-member countries. Whenever possible, these RPPIs are broken down by region, dwelling type (single- and multi-family dwellings) and vintage (new and existing dwellings). This dataset presents, for each country, the RPPI that is available at the most aggregate level at both national and regional levels. It mainly contains quarterly statistics.

At regional level, the available RPPIs are classified according to the OECD Territorial Level (TL) classification whenever possible. Regions within the 37 OECD countries are classified on two territorials level reflecting the administrative organisation of countries. The 394 OECD large regions (TL2) represent the first administrative tier of subnational government, for example, the Ontario Province in Canada. The 2258 OECD small regions (TL3) correspond to administrative regions, with the exception of Australia, Canada and the United States. This classification – which, for European countries, is largely consistent with the Eurostat NUTS 2016 – facilitates greater comparability of geographic units at the same territorial level.

The dataset called “National and Regional House Price Indices” contains the full list of available RPPIs. The dataset called “Analytical house price indicators” contains, in addition to nominal RPPIs, information on real house prices, rental prices and the ratios of nominal prices to rents and to disposable household income per capita. The datasets “Analytical house price indicators” and “National and Regional House Price Indices – Headline Indicators” do not refer to the same price indices for Brazil, Canada, China, Germany, the United States and the Euro area. These differences are further documented in country-specific metadata. For the United States, the series used in “Analytical house price indicators” is included in the dataset called “National and Regional House Price Indices”, but is not the headline indicator. For all other countries, non-seasonally adjusted price indices in both datasets are identical in the period in which they overlap.For all other countries, non-seasonally adjusted price indices in both datasets are identical on the overlapping period.

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OECD Statistics Directorate: contact: STAT.Contact@oecd.org

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Types of dwelling - The classification and terminology may differ significantly from country to country.
• 'All types of dwellings' refers to all dwellings purchased by households regardless of their structural characteristics, e.g. detached houses, semi-detached houses, terraced houses, row houses or townhouses, multi-family apartments, condominiums, and coops.
• 'Single-family dwellings' are generally free standing residential buildings, e.g. detached houses
• 'Multi-family dwellings' are multiple separate housing units for residential inhabitants contained within one building or several buildings within one complex, e.g. apartment buildings, duplex or semi-detached houses, and townhouses.

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Index (2015=100), Percentage change on the same period of the previous year, Percentage change from previous period. Index SA (2015=100), Percentage change on the same period of the previous year SA (%), Percentage change from previous period SA (%) for South Africa only

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• RPPI - Newly-built and existing dwellings, all types of dwellings;
- RPPI - Newly-built and existing dwellings, single-family dwellings;
- RPPI - Newly-built and existing dwellings, multi-family dwellings;
• RPPI - Newly-built dwellings, all types of dwellings;
- RPPI - Newly-built dwellings, single-family dwellings;
- RPPI - Newly-built dwellings, multi-family dwellings;
- RPPI - Newly-built dwellings, building component;
- RPPI - Newly-built dwellings, land component;
• RPPI - Existing dwellings, all types of dwellings;
- RPPI - Existing dwellings, single-family dwellings;
- RPPI - Existing dwellings, multi-family dwellings;

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The 'National and Regional House Price Indices - Headline indicators' dataset mainly contains quarterly statistics and related methodological information for all OECD member countries and some non-member countries.

The Price Index based on sales of newly-built and existing dwellings over the whole country (RPPI - Newly-built and existing dwellings, all types of dwellings, whole country) was systematically selected when available at both national and regional levels. When this indicators was not available, another one was selected. This is particularly true for Switzerland, Canada, Turkey, Japan, Norway, Australia, Greece, Korea and the United States.

Data are available at a quarterly frequency for all countries. For Canada, Ireland, Iceland, Israel, Japan, Korea, Turkey, United Kingdom, China and South Africa monthly data are also available.

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Indicators have been prepared by national statistical agencies primarily to meet the requirements of users within their own country. In most instances, the indicators are compiled in accordance with international statistical guidelines and recommendations. However, national practices may depart from these guidelines, which may alter the international comparability of RPPIs. These potential departures are documented in the metadata for the relevant countries.

National and Regional House Price Indices - Headline indicatorsAbstract

Residential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers measuring the evolution of residential property prices over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. Among their professional uses, they serve, for example, to monitor macroeconomic imbalances and risk exposure of the financial sector.

This dataset includes RPPI compiled by official statistical agencies following international statistical guidelines. It covers all OECD member countries and some non-member countries. Whenever possible, these RPPIs are broken down by region, dwelling type (single- and multi-family dwellings) and vintage (new and existing dwellings). This dataset presents, for each country, the RPPI that is available at the most aggregate level at both national and regional levels. It mainly contains quarterly statistics.

At regional level, the available RPPIs are classified according to the OECD Territorial Level (TL) classification whenever possible. Regions within the 37 OECD countries are classified on two territorials level reflecting the administrative organisation of countries. The 394 OECD large regions (TL2) represent the first administrative tier of subnational government, for example, the Ontario Province in Canada. The 2258 OECD small regions (TL3) correspond to administrative regions, with the exception of Australia, Canada and the United States. This classification – which, for European countries, is largely consistent with the Eurostat NUTS 2016 – facilitates greater comparability of geographic units at the same territorial level.

The dataset called “National and Regional House Price Indices” contains the full list of available RPPIs. The dataset called “Analytical house price indicators” contains, in addition to nominal RPPIs, information on real house prices, rental prices and the ratios of nominal prices to rents and to disposable household income per capita. The datasets “Analytical house price indicators” and “National and Regional House Price Indices – Headline Indicators” do not refer to the same price indices for Brazil, Canada, China, Germany, the United States and the Euro area. These differences are further documented in country-specific metadata. For the United States, the series used in “Analytical house price indicators” is included in the dataset called “National and Regional House Price Indices”, but is not the headline indicator. For all other countries, non-seasonally adjusted price indices in both datasets are identical in the period in which they overlap.For all other countries, non-seasonally adjusted price indices in both datasets are identical on the overlapping period.

OECD TL Classificationhttp://www.oecd.org/cfe/regionaldevelopment/territorial-grid.pdfAvailability of regional RPPIhttp://www.oecd.org/sdd/prices-ppp/OECD-Regional-House-Price-Indices-Regional-Classifications.xlsxRPPI metadata by countryhttp://www.oecd.org/sdd/prices-ppp/OECD-Regional-House-Price-Indices-Metadata.xlsx
Contact person/organisation

OECD Statistics Directorate: contact: STAT.Contact@oecd.org

Unit of measure used

Index (2015=100), Percentage change on the same period of the previous year, Percentage change from previous period. Index SA (2015=100), Percentage change on the same period of the previous year SA (%), Percentage change from previous period SA (%) for South Africa only

Variables collected

• RPPI - Newly-built and existing dwellings, all types of dwellings;
- RPPI - Newly-built and existing dwellings, single-family dwellings;
- RPPI - Newly-built and existing dwellings, multi-family dwellings;
• RPPI - Newly-built dwellings, all types of dwellings;
- RPPI - Newly-built dwellings, single-family dwellings;
- RPPI - Newly-built dwellings, multi-family dwellings;
- RPPI - Newly-built dwellings, building component;
- RPPI - Newly-built dwellings, land component;
• RPPI - Existing dwellings, all types of dwellings;
- RPPI - Existing dwellings, single-family dwellings;
- RPPI - Existing dwellings, multi-family dwellings;

Other data characteristics

Types of dwelling - The classification and terminology may differ significantly from country to country.
• 'All types of dwellings' refers to all dwellings purchased by households regardless of their structural characteristics, e.g. detached houses, semi-detached houses, terraced houses, row houses or townhouses, multi-family apartments, condominiums, and coops.
• 'Single-family dwellings' are generally free standing residential buildings, e.g. detached houses
• 'Multi-family dwellings' are multiple separate housing units for residential inhabitants contained within one building or several buildings within one complex, e.g. apartment buildings, duplex or semi-detached houses, and townhouses.

Statistical population

The 'National and Regional House Price Indices - Headline indicators' dataset mainly contains quarterly statistics and related methodological information for all OECD member countries and some non-member countries.

The Price Index based on sales of newly-built and existing dwellings over the whole country (RPPI - Newly-built and existing dwellings, all types of dwellings, whole country) was systematically selected when available at both national and regional levels. When this indicators was not available, another one was selected. This is particularly true for Switzerland, Canada, Turkey, Japan, Norway, Australia, Greece, Korea and the United States.

Data are available at a quarterly frequency for all countries. For Canada, Ireland, Iceland, Israel, Japan, Korea, Turkey, United Kingdom, China and South Africa monthly data are also available.

Key statistical concept

International guidelines for the compilation of RPPIs are given in the Handbook on Residential Price Property Indices published in 2013

Linkhttp://www.oecd.org/publications/handbook-on-residential-property-price-indices-9789264197183-en.htm
Recommended uses and limitations

Indicators have been prepared by national statistical agencies primarily to meet the requirements of users within their own country. In most instances, the indicators are compiled in accordance with international statistical guidelines and recommendations. However, national practices may depart from these guidelines, which may alter the international comparability of RPPIs. These potential departures are documented in the metadata for the relevant countries.