The pivot table for India’s official microdata.
NSS, ASI, PLFS, NFHS, IHDS, Census and RBI — every published table, indexed and pivotable. Drag dimensions, slice by state, export the cell, cite the source. No .txt wrangling, ever again.
| 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 |
What it does
The plumbing researchers shouldn’t have to build.
Six things ORF Data Labs handles so the next sixty hours of your project don’t.
Maps the NSSO Report Index, statement by statement.
Open Schedule 10 · Round 78 and you get the layout the printed Report uses — no recoding, no surprises.
Survey design applied before you click.
Multipliers, fractile classes, NIC/NCO codes and rural/urban strata are already applied. Audit-ready trail.
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.
Match unit IDs across rounds and surveys.
Join PLFS quarters, append HCES to NSS consumption, line up Census strata. Built for panels.
Every estimate carries its caveats.
CV, design effect, sample size and known revisions surface where the number does — not in an appendix PDF.
Charts that ship straight to a story page.
Tables, maps and charts export as PNG, SVG or an iframe with the source line baked in.
Datasets
Eight surveys. One grammar.
Every dataset speaks the same dimension language, so a cut you learn once works everywhere.
Analyses
What we’re reading in the data.
Every figure in these pieces links back to the pivot that produced it.
India’s female labour force is rising — but mostly in agriculture and unpaid work.
Why ASI 2022–23 quietly redraws the map of Indian manufacturing.
After a decade-long gap, what the new HCES tells us about poverty lines.
NFHS-5 district patterns: stunting fell, anaemia did not.
Who it’s for
Three audiences. One source of truth.
The same underlying tables, surfaced the way each reader actually works.
- Schedule-aligned tables matching the NSSO Report Index, one click away.
- Methodology notes, unit-record provenance and a citation generator built in.
- Reproducible recipes — every pivot has a permalink and a Stata / R / Python snippet.
- Pre-built dashboards by ministry priority — employment, nutrition, MSME, housing.
- State and district views, with export-to-brief in two clicks.
- Trendlines that match the headline numbers cited in official press releases.
- Chart-ready outputs at story resolution, with embeddable iframes.
- Search by headline statistic — “unemployment rate, women, urban, Q1”.
- Every figure linked back to its source schedule and round documentation.
About
Public infrastructure for public data.
ORF Data Labs is a programme of Observer Research Foundation. Methodology open, code open, data sourced solely from official releases — and free for anyone doing the work of understanding India.