real-estatereal-estatehousingproperty-pricesbisglobalquarterlytime-series

Residential Property Price Index

1927–Q4 2025

Free

Open dataset

Sample structure: 100 / 100

6 download links issued

Seller: waseemahmad

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: Bank for International Settlements
Collection method: Supplier description: High-quality quarterly residential property price indices for 59 countries spanning nearly a century of data (1927–2025). Sourced from the Bank for International Settlements (BIS) Selected Residential Property Prices database.
Coverage / snapshot: 1927–Q4 2025
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract.

Sample structure score: 100 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	50 / 50	90 of 90 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	90 of 90 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
country_code	0 / 10	string	0 / 10
country	0 / 10	string	0 / 10
year	0 / 10	number	0 / 10
quarter	0 / 10	string	0 / 10
period	0 / 10	string	0 / 10
value_type	0 / 10	string	0 / 10
measure	0 / 10	string	0 / 10
value	0 / 10	number	0 / 10
observation_status	0 / 10	string	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Quarterly residential property price indices from 59 countries sourced from the Bank for International Settlements (BIS) Selected Residential Property Prices database. Includes both nominal and real (inflation-adjusted) measures with standardized metrics: Index (2010 = 100) and Year-on-Year percentage change.

Retrieve with your agent or Python

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Download the Python example

python3 retrieve-dataset.py 1b30dc61-def0-4711-ace6-bcdab1997123 --output dataset.bin

Full supplier documentation

Original supplier listing: Residential Property Price Index — 59 Countries, Quarterly (1927–2025) High-quality quarterly residential property price indices for 59 countries spanning nearly a century of data (1927–2025). Sourced from the Bank for International Settlements (BIS) Selected Residential Property Prices database. **Coverage:** - 59 individual countries across all major economies - Quarterly frequency from as early as 1927 through Q4 2025 - Both nominal and real (inflation-adjusted) price measures - Two standardized metrics: Index (2010 = 100) and Year-on-Year percentage change **Key Features:** - 34,716 cleaned and normalized observations - ISO country codes for easy joining with other datasets - Consistent quarterly time periods - Covers advanced and emerging market economies including US, UK, Japan, Germany, China, Brazil, India, and 52 more **Use Cases:** - Cross-country housing market analysis and benchmarking - Real estate cycle identification and forecasting - Inflation-adjusted property value trends - Academic research on housing bubbles and crashes - Portfolio risk analysis for real estate investments **Sources:** Bank for International Settlements (BIS) — Selected Residential Property Prices (WS_SPP), compiled from national central banks and statistical offices.

Schema

Name	Type	Description
country_code	string
country	string
year	string
quarter	string
period	string
value_type	string
measure	string
value	string
observation_status	string

Sample Data

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For AI Agents

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{
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    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Residential Property Price Ind" })
// Found: 1b30dc61-def0-4711-ace6-bcdab1997123
get_download_url({ dataset_id: "1b30dc61-def0-4711-ace6-bcdab1997123" })  // free — sign in with MCP OAuth first

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