OECD Key Economic Indicators: unemployment rate

Name: OECD Key Economic Indicators: unemployment rate
Creator: OECD Key Economic Indicators
License: https://www.oecd.org/en/about/terms-and-conditions.html
Keywords: unemployment, labour, macro, oecd, monthly

Monthly unemployment rate (OECD KEI measure UNEMP: "Unemployment"), as a percentage of the labour force, calendar and seasonally adjusted, for OECD members, key partners and major aggregates.

Source: OECD Key Economic Indicators18,631 lignesMis à jour: 21/09/2026

unemploymentlabourmacrooecdmonthly

Qualité

Attribution

OECD

Schéma

Colonne	Type	Description
date	string	Observation month (the TIME_PERIOD column of the OECD SDMX-CSV response, 'YYYY-MM'), stored as the first day of the month.
series_id	string	SDMX series key (<REF_AREA>.<MEASURE>), e.g. 'USA.CP': the unique identifier of the series in the OECD Key Economic Indicators dataflow.
series_label	string	Economy name from the OECD CL_AREA codelist, e.g. 'United States'.
value	float	Unemployment rate (OECD KEI measure UNEMP: "Unemployment"), percentage of the labour force (UNIT_MEASURE=PT_LF), calendar and seasonally adjusted (ADJUSTMENT=Y).

Exemple de lignes

date	series_id	series_label	value
1978-02-01	AUS.UNEMP	Australia	6.6447269
1978-03-01	AUS.UNEMP	Australia	6.3029813
1978-04-01	AUS.UNEMP	Australia	6.2674676
1978-05-01	AUS.UNEMP	Australia	6.2093954
1978-06-01	AUS.UNEMP	Australia	6.3041057

Télécharger un échantillon

Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).

Télécharger l'exemple CSV Télécharger l'exemple JSON

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/oecd_kei/unemployment_rate_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/oecd_kei/unemployment_rate_monthly").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/oecd_kei/unemployment_rate_monthly

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