ORF DATA LABS
BETA

The pivot table for India’s
official microdata.

NSS, ASI, PLFS, NFHS, IHDS, Census, RBI — every published table, indexed and pivotable. Drag dimensions, slice by state, export the cell, cite the source. No .txt wrangling, ever again.

Explore datasets Watch 90s tour
datalabs.orfonline.org/plfs/wpr/state-x-edu-x-sex
Share Cite Export
PLFS / Annual Report 2023–24 / Statement 14 · Worker Population Ratio
Fields
State / UT
Sex
Education level
Age group
Sector
WPR
LFPR
Unemployment rate
Rows
State / UT
Columns
Education level Sex
Values
WPR · mean
Filters
Sector = Rural Age ≥ 15
NSSO REPORT · STATEMENT 14
PLFS 2023–24 · Worker Population Ratio
Statement 14 · WPR (usual status, ps+ss) by general education level, rural areas, persons aged 15+
State / UT Not literate Up to primary Secondary Higher secondary Graduate & above
Male Female Male Female Male Female Male Female Male Female
Andhra Pradesh 80.2 47.1 79.4 38.9 75.1 28.6 71.4 24.0 69.8 33.2
Bihar 74.3 11.2 71.6 9.4 65.0 6.1 58.4 5.2 52.7 12.8
Gujarat 82.5 53.0 80.8 42.7 76.3 31.2 70.1 22.7 66.2 35.0
Karnataka 81.9 49.6 80.0 41.3 75.6 30.1 70.8 25.4 68.4 36.7
Kerala 70.4 25.8 72.1 28.3 68.9 24.1 64.2 26.0 60.5 38.4
Maharashtra 83.7 51.4 81.5 43.6 76.8 29.7 71.2 23.5 67.4 37.9
Odisha 78.1 38.7 76.3 32.4 71.7 22.8 65.9 18.6 60.2 28.5
Punjab 76.9 19.4 75.0 17.1 71.4 12.3 67.8 11.0 63.1 21.2
Tamil Nadu 82.0 50.2 80.7 44.1 76.5 31.6 71.0 26.4 67.2 39.1
Uttar Pradesh 73.5 15.4 71.2 12.8 65.3 8.9 60.1 7.6 54.4 14.0
West Bengal 77.8 23.6 75.4 20.1 70.9 14.2 64.7 12.8 58.3 22.7
Used by teams at
Observer Research Foundation (ORF)

The plumbing researchers shouldn’t have to build.

Six things ORF Data Labs does so the next sixty hours of your project don’t.
Schedule-aware
Maps the NSSO Report Index, statement by statement.
When you open Schedule 10 · Round 78, you see the same table layout the Report does — no surprises, no recoding.
Weights, built-in
Survey design applied automatically.
Multipliers, fractile classes, NIC/NCO codes, urban/rural strata — handled before you click. Audit-ready trail.
Reproducible
Every pivot is a permalink and a snippet.
Stata, R, Python, SQL — copy the exact recipe behind any cell. Cite by URL. Reload state from disk.
Cross-survey joins
Match unit IDs across rounds and across surveys.
Join PLFS quarters, append HCES to NSS consumption, line up Census strata. Built for panels.
Methodology notes
Every estimate carries its caveats.
CV, design effect, sample size and known revisions surface where the number does — not in an appendix PDF.
Embeddable
Charts that ship to a story page.
Tables, maps and charts export as PNG, SVG, or an embeddable iframe with the source line baked in.
02 · DATASETS

Eight surveys. One grammar.

Browse all
CodeSurvey Coverage Rounds Tables What’s in it
NSS National Sample SurveyNEW 1972 – 2023 18 412 Consumption, employment, health, social consumption rounds. Schedule-aligned. Open
ASI Annual Survey of IndustriesNEW 1998 – 2023 26 287 Factory-level industrial statistics; output, employment, wages, capital. Open
PLFS Periodic Labour Force SurveyNEW 2017 – 2024 8 168 Quarterly urban and annual all-India labour force estimates. Open
NFHS National Family Health Survey 1992 – 2021 5 234 Demographic, health and nutrition indicators at state and district level. Open
CEN Census of India 1991 – 2011 3 612 Decadal population, household amenities, migration, religion, language. Open
IHDS India Human Development Survey 2005 – 2012 2 94 Panel survey on income, education, health, social capital. Open
HCES Household Consumption SurveyNEW 2022 – 2023 1 72 The 2022–23 round, after a decade-long gap. Item-wise MPCE. Open
03 · ANALYSES

What we’re reading in the data.

PLFS · NSS 14 min
Labour

India’s female labour force is rising — but mostly in agriculture and unpaid work.

P. SundaramMay 2026
ASI 11 min
Industry

Why ASI 2022–23 quietly redraws the map of Indian manufacturing.

R. Iyer · A. BoseApr 2026
HCES · NSS 18 min
Consumption

After a decade-long gap, what the new HCES tells us about poverty lines.

M. NaiduMar 2026
NFHS 9 min
Health

NFHS-5 district patterns: stunting fell, anaemia did not.

S. KhannaFeb 2026
04 · WHO IT’S FOR

Three audiences. One source of truth.

Researchers
  • Schedule-aligned tables matching the NSSO Report Index, one click away.
  • Methodology notes, unit-record provenance and citation generator built-in.
  • Reproducible recipes: every pivot has a permalink and a Stata / R / Python snippet.
See the researchers guide
Policymakers
  • Pre-built dashboards by ministry priority — employment, nutrition, MSME, housing.
  • State and district views; export-to-brief in two clicks.
  • Trendlines that match the headline numbers cited in official press releases.
See the policymakers guide
Journalists
  • Chart-ready outputs at story-ready resolution, with embeddable iframes.
  • Search by headline statistic — “unemployment rate, women, urban, Q1”.
  • Every figure linked back to the source schedule and round documentation.
See the journalists guide
05 · ABOUT

A programme of Observer Research Foundation, in the public interest.

Free for researchers, journalists and civil society. Methodology open, code open, data sourced solely from official releases. Hosted in Delhi.

Open the ORF labs