BLS Producer Price Index, final demand, seasonally adjusted
Monthly U.S. producer price indexes from the BLS Producer Price Index (PPI) commodity data, Final Demand system: final demand, final demand less foods, energy, and trade services (core), and final demand finished goods. Index points, seasonally adjusted.
Source: U.S. Bureau of Labor Statistics595 lignesMis à jour: 22/09/2026
inflationppipricesus
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 |
|---|---|---|---|
| 2009-11-01T00:00:00 | WPSFD4 | PPI Commodity data for Final demand, seasonally adjusted | 100.2 |
| 2009-12-01T00:00:00 | WPSFD4 | PPI Commodity data for Final demand, seasonally adjusted | 100.3 |
| 2010-01-01T00:00:00 | WPSFD4 | PPI Commodity data for Final demand, seasonally adjusted | 101.2 |
| 2010-02-01T00:00:00 | WPSFD4 | PPI Commodity data for Final demand, seasonally adjusted | 101 |
| 2010-03-01T00:00:00 | WPSFD4 | PPI Commodity data for Final demand, seasonally adjusted | 101.1 |
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_producer_prices" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/bls/bls_producer_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_producer_prices
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.