US housing-vacancy signals (market tightness)
Quarterly US housing-vacancy signals from the Census Bureau (FRED RRVRUSQ156N rental vacancy and RHVRUSQ156N homeowner vacancy, 1956-Q1 ->): 1-year momentum, year-on-year change, 4-quarter volatility, 3-sigma anomaly flags, naive-drift forecasts, 5-year z-scores, a tight-rental-market (<7%) flag, and an elevated-homeowner-vacancy (>=2.5%) flag. The tightness lens on US housing — the direct gauge of supply/demand balance — complementing housing-signals (construction, prices, mortgage rates). All rows normalized to country_code USA. Raw series: U.S. Census Bureau (Housing Vacancy Survey) via FRED.
Qualité
Attribution
U.S. Census Bureau via FRED; signals by Frontier Data Hub
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | string | Observation date (FRED API field date; YYYY-MM-DD, quarterly). |
| country | string | |
| country_code | string | |
| series_id | string | RRVRUSQ156N: Rental Vacancy Rate for the United States (percent); RHVRUSQ156N: Homeowner Vacancy Rate for the United States (percent). Both from the U.S. Census Bureau, Housing Vacancy Survey, not seasonally adjusted. |
| series_label | string | The rental vacancy rate is the share of the rental housing inventory that is vacant and available for rent; the homeowner vacancy rate is the share of the homeowner inventory that is vacant and for sale. Together they measure the supply/demand balance of the US housing stock. |
| value | float | Vacancy rate in percent. Low rental vacancy signals a landlord's market and coming rent pressure; elevated homeowner vacancy signals for-sale slack and potential price pressure. |
| momentum_1y_pp | float | |
| yoy_change_pp | float | |
| volatility_4q | float | |
| anomaly_flag | integer | |
| forecast_1q | float | |
| z_5y | float | |
| tight_rental_flag | float | |
| high_homeowner_vacancy_flag | float | |
| rental_z_5y | float | |
| homeowner_z_5y | float |
Exemple de lignes
| date | country | country_code | series_id | series_label | value | momentum_1y_pp | yoy_change_pp | volatility_4q | anomaly_flag | forecast_1q | z_5y | tight_rental_flag | high_homeowner_vacancy_flag | rental_z_5y | homeowner_z_5y |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1956-01-01 | United States | USA | RHVRUSQ156N | Homeowner Vacancy Rate for the United States (percent, Census Bureau via FRED) | 1 | — | — | — | 0 | — | — | — | 0 | — | — |
| 1956-04-01 | United States | USA | RHVRUSQ156N | Homeowner Vacancy Rate for the United States (percent, Census Bureau via FRED) | 1 | — | — | — | 0 | — | — | — | 0 | — | — |
| 1956-07-01 | United States | USA | RHVRUSQ156N | Homeowner Vacancy Rate for the United States (percent, Census Bureau via FRED) | 1.1 | — | — | — | 0 | — | — | — | 0 | — | — |
| 1956-10-01 | United States | USA | RHVRUSQ156N | Homeowner Vacancy Rate for the United States (percent, Census Bureau via FRED) | 0.9 | — | — | — | 0 | — | — | — | 0 | — | — |
| 1957-01-01 | United States | USA | RHVRUSQ156N | Homeowner Vacancy Rate for the United States (percent, Census Bureau via FRED) | 0.9 | -0.09999999999999998 | -0.09999999999999998 | 0.12583057392117922 | 0 | — | — | — | 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/housing_vacancy_signals/us_housing_vacancy_signals" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/housing_vacancy_signals/us_housing_vacancy_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/housing_vacancy_signals/us_housing_vacancy_signals
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.