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What share of Indian women aged 15 and above are in the labour force, quarter by quarter?

33.2%
Apr–Jun 2026▼ 1.5 vs Jan–Mar 2026

MoSPI · released 10 Aug 2026 · next due by 5 Dec 2026

What share of Indian women aged 15 and above are in the labour force, quarter by quarter?
PeriodValue (%)
Apr–Jun 202633.2
Jan–Mar 202634.7
Oct–Dec 202534.9
Jul–Sep 202533.7
Apr–Jun 202533.4

Use in your answer

Female labour force participation in India was 33.2% in Apr–Jun 2026 (women aged 15 and above, current weekly status, quarterly bulletin), compared with 34.7% in Jan–Mar 2026. Source: MoSPI, Periodic Labour Force Survey, Quarterly Bulletin.

Cite as: Periodic Labour Force Survey (PLFS), Quarterly Bulletin (NSO, MoSPI), Apr–Jun 2026

What this shows

  • 33.2% of women aged 15 and above were in the labour force in April–June 2026, down from 34.7% in January–March 2026 and 33.4% in April–June 2025.
  • Rural women participate far more than urban women: 37.2% against 25.0% in April–June 2026; for men the figure was 77.0%.
  • Among the 22 states in the bulletin, female participation in April–June 2026 ranged from 11.0% in Delhi and 20.0% in Haryana to 56.5% in Himachal Pradesh.

The latest figure, as people Apr–Jun 2026

Cite this

Periodic Labour Force Survey (PLFS), Quarterly Bulletin (NSO, MoSPI), Apr–Jun 2026

Cite a fixed version from every published version below.

Source and method

Source
MoSPI, Periodic Labour Force Survey, Quarterly Bulletin
Table
PLFS Quarterly Bulletin Apr–Jun 2026, Statement 1 (LFPR, CWS, rural + urban, female, 15 years and above, all five quarters); state rows in Appendix A Table 2
Released
10 Aug 2026
Retrieved
20 Oct 2026
Next due
by 5 Dec 2026
Processing
Copied as published.
Licence
GODL-India
What exactly is measured

Female labour force participation rate: the share of women aged 15 and above who are working or looking for work, rural and urban India combined, in current weekly status (CWS), from the Periodic Labour Force Survey quarterly bulletin. PLFS changed its survey design in January 2025; only quarters on the new design, from April–June 2025, are shown, and they are not comparable with older usual-status or urban-only figures.

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Women's labour force participation by state

Female labour force participation rate: women working or seeking work as a share of all women aged 15 and above, rural and urban combined, current weekly status. Source: MoSPI, Periodic Labour Force Survey, Quarterly Bulletin, Apr–Jun 2026.

Where

JK42.3LA–PB26.7HP56.5UK36.1SK–AR–RJ46.3CH–HR20.0DL11.0UP25.7BR23.0WB34.6AS41.9NL–GJ32.4MP33.1CG26.5JH25.2ML–MN–DH–MH32.9TS40.8OD35.9TR–MZ–GA–KA37.4AP39.6LD–KL35.1TN40.7PY–AN–
11.0% to 56.5% in five equal bands; dashed tiles are not reported. India: 33.2%. Tiles show position, not borders.

Ranked

Ranked highest first · Apr–Jun 2026 · India 33.2%

  1. 1Himachal Pradesh56.5
  2. 2Rajasthan46.3
  3. 3Jammu & Kashmir42.3
  4. 4Assam41.9
  5. 5Telangana40.8
  6. 6Tamil Nadu40.7
  7. 7Andhra Pradesh39.6
  8. 8Karnataka37.4
  9. 9Uttarakhand36.1
  10. 10Odisha35.9
  11. 11Kerala35.1
  12. 12West Bengal34.6
  13. 13Madhya Pradesh33.1
  14. 14Maharashtra32.9
  15. 15Gujarat32.4
  16. 16Punjab26.7
  17. 17Chhattisgarh26.5
  18. 18Uttar Pradesh25.7
  19. 19Jharkhand25.2
  20. 20Bihar23.0
  21. 21Haryana20.0
  22. 22Delhi11.0

How are the states spread?

9 of 22 states fall between 30% and 40%. Each column counts the states in one band of women's labour force participation; the dashed line is the all-India figure.

Hover a column for the states in it. Bands are equal widths of the state figures, Apr–Jun 2026.

History: every published version

Each time the source changes this series we archive the full series as it stood, with an archived copy of the source, and never delete an old version. Each version has a permanent page you can cite. Recorded since 20 Oct 2026: 1 version.

No figure in this series has been revised since we began recording on 20 Oct 2026.

  1. 5 periods, latest Apr–Jun 2026: 33.2% · first snapshotArchived sourced52654beaa4c
Release notes (1)
  • 33.2%Apr–Jun 2026, quarterly bulletin

Get the data

Use it in Excel, Python or R

Excel (Data → From Web): https://india.tf/c/job-flfprq-095/data.csv

Python: pandas.read_csv("https://india.tf/c/job-flfprq-095/data.csv")

R: read.csv("https://india.tf/c/job-flfprq-095/data.csv")

All statistics: /api/index.json. Free to reuse with attribution (GODL-India).