OECD LFS: quarterly labour-force participation rate

Name: OECD LFS: quarterly labour-force participation 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 labour-force participation rates, percent of the working-age population 15+, from the OECD Labour Force Statistics (OECD measure LF_WAP): 45 OECD members, partner economies and aggregates (1976-Q1->2026-Q2 for Canada, 1955-Q1->2026-Q2 for the USA as of 2026-09-27), by sex (total/male/female). Method: the labour force (employed plus unemployed) as a share of the population 15+, harmonized under common ILO definitions; every series is calendar-and-seasonally adjusted. Unit: percent. Brazil is a known stale series (ends 2015-Q3) and is kept as published. The obs_status column flags provisional (P) and estimated (E) observations, mostly in the latest quarter.

Source: OECD
Rows: 15,621
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.
participation_rate_pct	float	Quarterly labour-force participation rates, percent of the working-age population 15+, from the OECD Labour Force Statistics (OECD measure LF_WAP): 45 OECD members, partner economies and aggregates (1976-Q1->2026-Q2 for Canada, 1955-Q1->2026-Q2 for the USA as of 2026-09-27), by sex (total/male/female). Method: the labour force (employed plus unemployed) as a share of the population 15+, harmonized under common ILO definitions; every series is calendar-and-seasonally adjusted. Unit: percent. Brazil is a known stale series (ends 2015-Q3) and is kept as published. 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	participation_rate_pct	obs_status
1978-04-01	AUS	Australia	female	43.637	A
1978-07-01	AUS	Australia	female	43.7	A
1978-10-01	AUS	Australia	female	43.463	A
1979-01-01	AUS	Australia	female	43.364	A
1979-04-01	AUS	Australia	female	43.232	A
1979-07-01	AUS	Australia	female	43.378	A
1979-10-01	AUS	Australia	female	44.085	A
1980-01-01	AUS	Australia	female	44.332	A
1980-04-01	AUS	Australia	female	44.751	A
1980-07-01	AUS	Australia	female	45.095	A

Profiled Sep 27, 2026 from snapshot 20260927T211243Z-31df9ad342e5

Measured

Completeness: 100%
Rows: 15,621
Columns: 6
Columns with gaps: 0

Rows per yeardate · 1955–2026 · 72 years

19552026

Column	Missing	Distinct	Range	Distribution
datevarchar	0%	327	—	2010-07-01133 2010-10-01133 2011-01-01133
country_codevarchar	0%	46	—	JPN858 USA855 GBR666
country_namevarchar	0%	44	—	Japan858 United States855 United Kingdom666
sexvarchar	0%	3	—	total5,243 male5,203 female5,175
participation_rate_pctdouble	0%	13,429	22.37 → 88.05median 61.01	314 outside 1st–99th percentile
obs_statusvarchar	0%	3	—	A15,128 E475 B18

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_labour_force_participation_quarterly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/oecd/lfs_labour_force_participation_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_labour_force_participation_quarterly

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

Cite this snapshot

Pinned to snapshot 20260927T211243Z-31df9ad342e5 and its content hash, so readers get exactly the data you used.

APA

OECD. (2026). OECD LFS: quarterly labour-force participation rate [Data set, snapshot 20260927T211243Z-31df9ad342e5, sha256 31df9ad342e5]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/en/datasets/oecd/lfs_labour_force_participation_quarterly?snapshot=20260927T211243Z-31df9ad342e5

BibTeX

@misc{dz_oecd_lfs_labour_force_participation_quar_31df9ad3,
  title        = {{OECD LFS: quarterly labour-force participation rate}},
  author       = {{OECD}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/oecd/lfs_labour_force_participation_quarterly?snapshot=20260927T211243Z-31df9ad342e5}},
  note         = {Snapshot 20260927T211243Z-31df9ad342e5, sha256 31df9ad342e5a58f725b8be542cdea21b42cbeaac1bee9088d74b9ff2ae384e5; 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_labour_force_participation_quarterly&lang=en&theme=auto&snapshot=20260927T211243Z-31df9ad342e5&x=date&y=participation_rate_pct&agg=avg" title="OECD LFS: quarterly labour-force participation rate" width="100%" height="380" style="border:0" loading="lazy"></iframe>

OECD LFS: quarterly labour-force participation rate

Follow this dataset

Cite this snapshot

Embed a table or a chart

Use your own AI key