Global housing price signals (real house prices, boom/bust gauges, forecasts)
Signals derived from the BIS real residential property price series (quarterly, as published on FRED) for 18 economies: 30-quarter annualized volatility of quarterly changes, quarterly momentum, year-over-year percent change (the housing boom/bust gauge), a cycle-position percentile of current growth versus each country's own history, 3-sigma anomaly flags, naive-drift 1-quarter forecasts and a per-quarter cross-country volatility rank. All rows carry canonical country_code so they join cleanly with country-keyed macro data. Raw series: Federal Reserve Bank of St. Louis (FRED), underlying data Bank for International Settlements.
Qualité
Attribution
Federal Reserve Bank of St. Louis (FRED; BIS; derived signals by Frontier Data Hub)
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation date (FRED API field date; YYYY-MM-DD). |
| country | string | |
| country_code | string | |
| series_id | string | FRED series ID, e.g. QUSR628BIS; resolves to the series page at https://fred.stlouisfed.org/series/<id>. |
| series_label | string | Official FRED series title as published for the series (BIS real residential property prices, quarterly). |
| value | float | Real residential property price index as published by FRED/BIS for this series; see the series notes for base period, methodology and revisions. |
| volatility_30d | float | |
| momentum_1q | float | |
| yoy_change_pct | float | |
| cycle_position | float | |
| anomaly_flag | integer | |
| forecast_1m | float | |
| rank | integer |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | volatility_30d | momentum_1q | yoy_change_pct | cycle_position | anomaly_flag | forecast_1m | rank |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1947-01-01 | Italy | ITA | QITR628BIS | Real Residential Property Prices for Italy | 32.0416 | — | — | — | — | 0 | — | — |
| 1947-04-01 | Italy | ITA | QITR628BIS | Real Residential Property Prices for Italy | 29.9313 | — | -2.1103000000000023 | — | — | 0 | — | — |
| 1947-07-01 | Italy | ITA | QITR628BIS | Real Residential Property Prices for Italy | 27.9126 | — | -2.018699999999999 | — | — | 0 | — | — |
| 1947-10-01 | Italy | ITA | QITR628BIS | Real Residential Property Prices for Italy | 29.1209 | — | 1.2082999999999977 | — | — | 0 | — | — |
| 1948-01-01 | Italy | ITA | QITR628BIS | Real Residential Property Prices for Italy | 33.8255 | — | 4.704599999999999 | 5.5674498152401775 | 100 | 0 | — | — |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
Utiliser avec un LLM
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/world_housing_signals/global_housing_price_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/world_housing_signals/global_housing_price_signals").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API: https://datazimuts.com/v1/datasets/world_housing_signals/global_housing_price_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.