OECD Key Economic Indicators: unemployment rate
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 rowsUpdated: 9/21/2026
unemploymentlabourmacrooecdmonthly
Quality
97
Attribution
OECD
Schema
| Column | 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). |
Sample rows
| 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 |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)API endpoint: https://datazimuts.com/v1/datasets/oecd_kei/unemployment_rate_monthly
Tip: fetch /llms.txt for the full machine-readable catalog.