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ILO · Labor

Female share of low pay earners

ILOSTAT EAR_XFLS_NOC_RT. Female share of low pay earners (Percentage).

Coverage
135 of 251 countries
Latest data
2025
Series
135
Unit
Percentage
Licence
CC BY 4.0
Retrieved
2026-11-07
Indicator
ilo-ear-xfls-noc-rt-pt
Interva ID
ilo-ear-xfls-noc-rt-pt

Recency

current

data to 2025; catalog to 2025

Provenance

1 step

as the publisher declares it

Versions

1

catalog snapshots

Citation

BibTeX + CSL

versioned permalink

Quality profile

This profile describes what Interva can measure in the data. It does not claim the dataset is accurate, complete, or suitable for a particular use.

Recency

100%

Latest observation is 2025; the catalog broadly reports to 2025, so this data is 0 year(s) behind (current).

Method: Compares the dataset's latest non-projected period with the year most datasets in the catalog end in. Up to 2 years behind is current — annual data is routinely published a year or two late — and more than 5 is stale. Measured from the data, not from when Interva last crawled it.

Temporal completeness

96%

68 of 135 series skip at least one year inside their own span; the median series reports 96% of its years.

Method: Per series, years present divided by years from its first to its last observation; the median across series is reported. Annual periods are assumed, which holds for every series in the catalog today.

Geographic coverage

Measured

Covers 135 of the 251 countries in the catalog.

Method: Counts distinct geographies with at least one observation. Not scored: a regional dataset covering its region completely is not deficient for omitting the rest of the world.

History depth

Measured

The median series has 5 observations; the earliest begins in 2000.

Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.

Revisions

Measured

No observation has been restated in any vintage Interva has recorded.

Method: Counts values the publisher changed between Interva's publishes. Not scored: revising estimates is ordinary and often a sign of care, and the count is here so a reader citing a figure knows whether it moves.

Schema conformity

Not assessed

No declared schema or validation rules are attached to this dataset yet.

Validity

Not assessed

No field-level validation rules are attached to this dataset yet.

Consistency

Not assessed

Cross-series consistency rules are not defined yet. The obvious first one — whether two publishers measuring one concept agree within a stated tolerance — is a candidate.

2 scored from the data, 3 described without a score, 3 not assessed. Pipeline integrity: all 5 checks pass. Assessed 2026-11-08.

By country

Female share of low pay earners for each of the 135 countries it covers, with the full history.

Latest observations

CountryPeriodValueUnit
Argentina202550.98Percentage
Bolivia, Plurinational State of202559.11Percentage
Bosnia and Herzegovina202547.34Percentage
Brazil202549.88Percentage
Burkina Faso202536.39Percentage
Cambodia202546.49Percentage
Canada202554.55Percentage
Colombia202547.75Percentage
Costa Rica202552.29Percentage
Dominican Republic202555.89Percentage

Provenance

Who produced these figures, as ILO declares it — not inferred, and each line says which published field it was read from.

  1. Produced by

    International Labour Organization

    ILOSTAT DF_EAR_XFLS_NOC_RT; national surveys and records, the source named per figure in ILOSTAT, not per indicator

    declared by ilo in dataflow

Versions

A vintage is a dated publish of the catalog. The current entry is a catalog snapshot; checksums are not recorded yet and are shown as such.

  • CurrentCurrent catalog snapshotchecksum not recorded

Related datasets

Labour force by sex and age -- ILO modelled estimates, Nov. 2025: Female, 15-24

ILO · 188 series · same topic · same publisher

Labour force by sex and age -- ILO modelled estimates, Nov. 2025: Female, 15+

ILO · 188 series · same topic · same publisher

Labour force by sex and age -- ILO modelled estimates, Nov. 2025: Female, 25+

ILO · 188 series · same topic · same publisher

Labour force by sex and age -- ILO modelled estimates, Nov. 2025: Male, 15-24

ILO · 188 series · same topic · same publisher

Labour force by sex and age -- ILO modelled estimates, Nov. 2025: Male, 15+

ILO · 188 series · same topic · same publisher

Labour force by sex and age -- ILO modelled estimates, Nov. 2025: Male, 25+

ILO · 188 series · same topic · same publisher

Labour force by sex and age -- ILO modelled estimates, Nov. 2025: 15-24

ILO · 188 series · same topic · same publisher

Labour force by sex and age -- ILO modelled estimates, Nov. 2025: 15+

ILO · 188 series · same topic · same publisher

Citation

Version: catalog snapshot 2026-11-07. The record labels this as a catalog snapshot because immutable dataset releases are not stored yet.

ILO (2026). Female share of low pay earners. Interva. https://interva.co/dataset/ilo-ear-xfls-noc-rt-pt (accessed 2026-11-08). catalog snapshot 2026-11-07.

BibTeX
@misc{interva-ilo-ear-xfls-noc-rt-pt,
  title        = {Female share of low pay earners},
  author       = {ILO},
  year         = {2026},
  howpublished = {\url{https://interva.co/dataset/ilo-ear-xfls-noc-rt-pt}},
  note         = {Interva dataset ilo-ear-xfls-noc-rt-pt; catalog snapshot 2026-11-07},
  urldate      = {2026-11-08}
}

DOI: not assigned (not assigned). The permalink is versioned by catalog snapshot; a stable dataset DOI is a later step.

API access

Every fact on this page is available from the API.

curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/ilo-ear-xfls-noc-rt-pt
curl -o ilo-ear-xfls-noc-rt-pt.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/ilo-ear-xfls-noc-rt-pt/download
curl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/ilo-ear-xfls-noc-rt-pt/citation?accessed=YYYY-MM-DD"
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/ilo-ear-xfls-noc-rt-pt/quality

Full schema: https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/docs

Open in the terminal to chart this series, compare it against other publishers, or export it with its provenance.