House price index, quarterly (2015=100)
Quarterly house price index (2015=100) for EU member states, EFTA countries and EU/euro-area aggregates. Eurostat dataset prc_hpi_q ('House price index - quarterly data', unit I15_Q). Each row is one (quarter, country): the index of residential property transaction prices with 2015=100, covering purchases of new and existing dwellings (purchase=TOTAL). Method: Eurostat compiles national house price indices from EU member states' statistical offices; non-EU/EFTA/candidate countries are dropped (same licensing rule as the other Eurostat datasets). Units: index points, 2015=100. Caveats: the UK series is dropped by the connector's commercial-use geo rule; some countries start later than 2005-Q1; the EU, EU27_2020, EU28, EA, EA21, EA20 and EA19 aggregates are included as published. Coverage: 37 geographic units after the geo rule, 2005-Q1 to the present, quarterly. Provenance: Eurostat keyless JSON-stat API, free reuse with attribution (Commission Decision 2011/833/EU) - please cite Eurostat. Primary key: (quarter, country_code). Join keys: country_code (ISO 3166-1 alpha-3), quarter. Cadence: refreshed quarterly; Eurostat updates the dataset in July. Sample use: filter country_code='DEU' to track German house prices against the 2015 baseline at quarterly resolution.
- Source
- Eurostat
- Rows
- 2,860
- Columns
- 4
- Source cadence
- Quarterly
- Last refreshed
- Sep 23, 2026
- Theme
- housing
| Column | Type | Description |
|---|---|---|
| quarter | string | Reference quarter of the observation (stored as the first day of the quarter's first month), from the 'time' dimension. |
| country_code | string | Reporting country: ISO 3166-1 alpha-3 (mapped from Eurostat's alpha-2 codes). Also carries the provider aggregates (e.g. 'EU', 'EU27_2020', 'EU28', 'EA', 'EA21', 'EA20', 'EA19') verbatim. |
| country_name | string | Canonical English country name (hub.normalize), or the Eurostat-published label for the EU/EA aggregates. |
| index_2015_100 | float | Quarterly house price index (2015=100) from the 'unit' indicator I15_Q, covering purchases of new and existing dwellings (purchase=TOTAL). (unit: index points, 2015=100) |
First 10 sample rows — a preview, not the complete dataset.
| quarter | country_code | country_name | index_2015_100 |
|---|---|---|---|
| 2010-01-01 | AUT | Austria | 75.05 |
| 2010-04-01 | AUT | Austria | 77.21 |
| 2010-07-01 | AUT | Austria | 78.19 |
| 2010-10-01 | AUT | Austria | 78.84 |
| 2011-01-01 | AUT | Austria | 78.96 |
| 2011-04-01 | AUT | Austria | 81.28 |
| 2011-07-01 | AUT | Austria | 82.59 |
| 2011-10-01 | AUT | Austria | 83.06 |
| 2012-01-01 | AUT | Austria | 85.3 |
| 2012-04-01 | AUT | Austria | 85.44 |
Profiled Sep 23, 2026 from snapshot 20260923T145959Z-9fd886da5942
Measured- Completeness
- 100%
- Rows
- 2,860
- Columns
- 4
- Columns with gaps
- 0
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| quartervarchar | 0% | 88 | — |
|
| country_codevarchar | 0% | 38 | — |
|
| country_namevarchar | 0% | 39 | — |
|
| index_2015_100double | 0% | 2,158 | 49.47 → 1,885median 108.46 | 58 outside 1st–99th percentile |
- Current
20260923T145959Z-9fd886da5942 · sha256 9fd886da5942…
2,860 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/eurostat/eurostat_house_price_index_quarterly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/eurostat/eurostat_house_price_index_quarterly").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/eurostat/eurostat_house_price_index_quarterly
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260923T145959Z-9fd886da5942 and its content hash, so readers get exactly the data you used.
Eurostat. (2026). House price index, quarterly (2015=100) [Data set, snapshot 20260923T145959Z-9fd886da5942, sha256 9fd886da5942]. Datazimuts. Retrieved 2026-09-23, from https://datazimuts.com/en/datasets/eurostat/eurostat_house_price_index_quarterly?snapshot=20260923T145959Z-9fd886da5942
@misc{dz_eurostat_eurostat_house_price_index_quar_9fd886da,
title = {{House price index, quarterly (2015=100)}},
author = {{Eurostat}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/eurostat/eurostat_house_price_index_quarterly?snapshot=20260923T145959Z-9fd886da5942}},
note = {Snapshot 20260923T145959Z-9fd886da5942, sha256 9fd886da5942eabcb3beba108cec3b07972cf29dae9bf69c707ac7ac3910a599; accessed 2026-09-23}
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