BLS Consumer Price Index (CPI-U), seasonally adjusted
Monthly U.S. consumer price indexes from the BLS Consumer Price Index for All Urban Consumers (CPI-U): all items, all items less food and energy (core), rent of primary residence, and energy. Index points, seasonally adjusted, U.S. city average.
Source: U.S. Bureau of Labor Statistics944 lignesMis à jour: 22/09/2026
inflationcpipricesus
Qualité
100
Attribution
U.S. Bureau of Labor Statistics
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | timestamp | Month of observation, mapped from the BLS API 'year' and 'period' fields (for example '2026' + 'M08' becomes 2026-08-01). Only monthly periods are kept. |
| series_id | string | BLS series identifier, e.g. 'CES0000000001' or 'CUSR0000SA0'. Encodes the survey, area, item, and seasonal adjustment; formats are documented at bls.gov/help/hlpforma.htm. |
| series_label | string | Official BLS series title from the Bureau's series catalog (data.bls.gov/timeseries), e.g. 'All employees, thousands, total nonfarm, seasonally adjusted'. |
| value | float | Observed value from the BLS API 'value' field. Units follow the series definition: employment and unemployment levels are in thousands of persons/jobs, average hourly earnings in dollars, weekly hours in hours, rates in percent, and CPI/PPI series in index points. Missing observations are null. |
Exemple de lignes
| date | series_id | series_label | value |
|---|---|---|---|
| 2007-01-01T00:00:00 | CUSR0000SA0 | All items in U.S. city average, all urban consumers, seasonally adjusted | 203.437 |
| 2007-02-01T00:00:00 | CUSR0000SA0 | All items in U.S. city average, all urban consumers, seasonally adjusted | 204.226 |
| 2007-03-01T00:00:00 | CUSR0000SA0 | All items in U.S. city average, all urban consumers, seasonally adjusted | 205.288 |
| 2007-04-01T00:00:00 | CUSR0000SA0 | All items in U.S. city average, all urban consumers, seasonally adjusted | 205.904 |
| 2007-05-01T00:00:00 | CUSR0000SA0 | All items in U.S. city average, all urban consumers, seasonally adjusted | 206.755 |
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/bls/bls_consumer_prices" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bls/bls_consumer_prices").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/bls/bls_consumer_prices
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.