Who is being schooled, who is idle and who works, and where do the gaps between women and men and between districts sit?

Not held

• District enrolment rates: The census tables give students by age band and sex but no population by age band, so a rate cannot be formed without an outside denominator the lake does not hold.
• District pass rates (PSC, JSC, SSC, HSC): No district-level examination result table is held. National results are in `national.education`.
• District student-teacher ratios: ASPR 2024 prints ten districts (Table 4.32) and the national value; the other 54 are not published in the sources held.
• District unemployment rates: The Labour Force Survey district table is not held; the census job-seeker share is a different concept.
• HSC results after 2020, PSC, JSC and JDC results after 2019: The BANBEIS editions held print no later year for these examinations.

Sources

1. Population and Housing Census 2022, district tables (NEET 15-24, literacy 7+, students 5-29, working status 5+, employed by sector). Bangladesh Bureau of Statistics, through the UNRCO Bangladesh dataset on HDXCensus concepts, not the Labour Force Survey: 'looking for work' is the census working-status category and the job-seeker share here is not the LFS unemployment rate. The census NEET (2022, table P23) and the ILO national NEET (survey, latest 2024) come from different instruments, so their levels are not comparable; compare districts with districts. The sheet prints the 20-24 student columns under swapped sex headers; they are read as the BBS indicator definition names them and the age bands reconcile to the sheet totals only that way.
2. ILOSTAT Labour Force Statistics and Education and Mismatch Indicators, Bangladesh national estimates. International Labour Organization, as held in the BPL lake (ilo_labour_bangladesh)National level only, survey years only (the gaps between years are not filled); the source text of every row is in the table. The older series are shown as stored and not re-fetched from ILOSTAT: some values break sharply from their neighbours (female participation 8.68% in 2011 between 35.49% in 2010 and 33.57% in 2013), so read the latest year, not the history, until the series is re-checked.