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.
Quality
Attribution
Federal Reserve Bank of St. Louis (FRED; BIS; derived signals by Frontier Data Hub)
Schema
| Column | 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 |
Sample rows
| 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 | — | — |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)API endpoint: https://datazimuts.com/v1/datasets/world_housing_signals/global_housing_price_signals
Tip: fetch /llms.txt for the full machine-readable catalog.