Tous les jeux de données

All Employees, Total Nonfarm

All Employees: Total Nonfarm, commonly known as Total Nonfarm Payroll, is a measure of the number of U.S. workers in the economy that excludes proprietors, private household employees, unpaid volunteers, farm employees, and the unincorporated self-employed. This measure accounts for approximately 80 percent of the workers who contribute to Gross Domestic Product (GDP). This measure provides useful insights into the current economic situation because it can represent the number of jobs added or …

Source: FRED (St. Louis Fed)1,052 lignesMis à jour: 21/09/2026
employmentfred

Qualité

100

Attribution

Federal Reserve Bank of St. Louis (FRED)

Schéma

ColonneTypeDescription
datestring
valueinteger

Exemple de lignes

datevalue
1939-01-0129923
1939-02-0130100
1939-03-0130280
1939-04-0130094
1939-05-0130299

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/fred/payroll_employment" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/fred/payroll_employment").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/fred/payroll_employment

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.