OECD LFS: quarterly employment rate

Name: OECD LFS: quarterly employment rate
Creator: OECD
License: https://www.oecd.org/en/about/terms-and-conditions.html
Keywords: employment, labour, oecd, harmonized, quarterly

License unclearFresh

Query in workbench

The full snapshot isn't published yet — check back after the next refresh.Download sample CSV Download sample JSONSample rows only (up to 20) — not the complete dataset.

Quarterly employment rates, percent of the working-age population 15+, from the OECD Labour Force Statistics (OECD measure EMP_WAP): 47 OECD members, partner economies and aggregates, mid-20th century to the present (2026-Q2 for Canada, the USA and the OECD total as of 2026-09-27), by sex (total/male/female). Method: employed persons as a share of the population 15+, harmonized under common ILO definitions; every series is calendar-and-seasonally adjusted. Unit: percent. The obs_status column flags provisional (P) and estimated (E) observations, mostly in the latest quarter.

Source: OECD
Rows: 16,001
Columns: 6
Source cadence: Quarterly
Last refreshed: Sep 27, 2026
Theme: labor

Column	Type	Description
date	string	Reference quarter (the TIME_PERIOD column of the OECD SDMX-CSV response), stored as the first day of the quarter.
country_code	string	OECD REF_AREA code: ISO 3166-1 alpha-3 for countries (e.g. 'USA'); the EA (euro area), EU, G7 and OECD aggregates are kept verbatim as published.
country_name	string	Economy name from the OECD CL_AREA codelist, e.g. 'United States'.
sex	string	Population by sex: 'total', 'male' or 'female' (OECD SEX codes _T/M/F), for the population aged 15 and over.
employment_rate_pct	float	Quarterly employment rates, percent of the working-age population 15+, from the OECD Labour Force Statistics (OECD measure EMP_WAP): 47 OECD members, partner economies and aggregates, mid-20th century to the present (2026-Q2 for Canada, the USA and the OECD total as of 2026-09-27), by sex (total/male/female). Method: employed persons as a share of the population 15+, harmonized under common ILO definitions; every series is calendar-and-seasonally adjusted. Unit: percent. The obs_status column flags provisional (P) and estimated (E) observations, mostly in the latest quarter. (unit: percent of working-age population)
obs_status	string	Observation status as reported by the OECD: A = actual value, E = estimated value, P = provisional value (usually the latest 1-2 quarters), B = break in series.

First 10 sample rows — a preview, not the complete dataset.

date	country_code	country_name	sex	employment_rate_pct	obs_status
1978-04-01	AUS	Australia	female	40.219	A
1978-07-01	AUS	Australia	female	40.312	A
1978-10-01	AUS	Australia	female	40.082	A
1979-01-01	AUS	Australia	female	39.916	A
1979-04-01	AUS	Australia	female	39.746	A
1979-07-01	AUS	Australia	female	39.788	A
1979-10-01	AUS	Australia	female	40.428	A
1980-01-01	AUS	Australia	female	40.947	A
1980-04-01	AUS	Australia	female	41.215	A
1980-07-01	AUS	Australia	female	41.57	A

Profiled Sep 27, 2026 from snapshot 20260927T211238Z-6ba13188cb1a

Measured

Completeness: 100%
Rows: 16,001
Columns: 6
Columns with gaps: 0

Rows per yeardate · 1955–2026 · 72 years

19552026

Column	Missing	Distinct	Range	Distribution
datevarchar	0%	327	—	2010-07-01138 2010-10-01138 2011-01-01138
country_codevarchar	0%	48	—	JPN858 USA855 GBR666
country_namevarchar	0%	44	—	Japan858 United States855 United Kingdom666
sexvarchar	0%	3	—	female5,337 male5,337 total5,327
employment_rate_pctdouble	0%	11,368	20.24 → 85.79median 56.96	320 outside 1st–99th percentile
obs_statusvarchar	0%	3	—	A15,233 E744 B24

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

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/oecd/lfs_employment_rate_quarterly").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/lfs_employment_rate_quarterly

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20260927T211238Z-6ba13188cb1a and its content hash, so readers get exactly the data you used.

APA

OECD. (2026). OECD LFS: quarterly employment rate [Data set, snapshot 20260927T211238Z-6ba13188cb1a, sha256 6ba13188cb1a]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/en/datasets/oecd/lfs_employment_rate_quarterly?snapshot=20260927T211238Z-6ba13188cb1a

BibTeX

@misc{dz_oecd_lfs_employment_rate_quarterly_6ba13188,
  title        = {{OECD LFS: quarterly employment rate}},
  author       = {{OECD}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/oecd/lfs_employment_rate_quarterly?snapshot=20260927T211238Z-6ba13188cb1a}},
  note         = {Snapshot 20260927T211238Z-6ba13188cb1a, sha256 6ba13188cb1ac1d49bb3e31700361c9923f09ef0307b23ab20123f19081cc82b; accessed 2026-09-27}
}

Embed a table or a chart

Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.

Type

X axis

Value

Aggregate

Theme

HTML

<iframe src="https://datazimuts.com/embed/chart?dataset=oecd%2Flfs_employment_rate_quarterly&lang=en&theme=auto&snapshot=20260927T211238Z-6ba13188cb1a&x=date&y=employment_rate_pct&agg=avg" title="OECD LFS: quarterly employment rate" width="100%" height="380" style="border:0" loading="lazy"></iframe>

OECD LFS: quarterly employment rate

Follow this dataset

Cite this snapshot

Embed a table or a chart

Use your own AI key