{"version":1,"grain":"district","exportedAt":"2026-09-09","displayVersion":1,"defaults":{"rank_sentence":"{place} reads {value}: {rank_within} of the {n_within} {child_noun}s of {parent} with a reading, and {rank_national} of {n_national} in the country.","fallback_sentence":"{place} reads {value}, {above_below_within} the middle {child_noun} of {parent} at {median_within} and {above_below_national} the middle {child_noun} of the country at {median_national}.","disclaimer":{"no_ranking":"These are survey estimates, not a count: each carries a sampling error wide enough that two places a rank or two apart are not reliably different. Read the order as a grouping, not a league table.","low_base":"{place} was estimated from a small number of respondents, so its place in this order is less certain than the figure suggests.","no_cross_place":"The publisher does not compare this figure across places. The order is shown because a reader asked for one; it is not the source's own ranking.","no_cross_grain":"This order compares {parent}'s own kind of place only. The same indicator at another grain is a different measurement and does not join this list.","provisional":"A provisional figure, which the publisher may revise.","inferred":"{place}'s figure was computed by this project from the places inside it ({coverage} of them by population), not published by {source}.","default":"Read the order with the source's own caveats, which are printed with the figure."}},"n":187,"indicators":{"adequate_diet_bf_6_23m_pct":{"label":"Breastfed children 6-23 months receiving an adequate diet","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 17 (long IYCF rule, link, don't paraphrase). Values near zero are common and real.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"breastfed children 6-23 months receiving an adequate diet","denominator":"breastfed children 6-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"adequate_diet_nonbf_6_23m_pct":{"label":"Non-breastfed children 6-23 months receiving an adequate diet","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 17; tiny base, the most-suppressed indicator in the file alongside 69.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"non-breastfed children 6-23 months receiving an adequate diet","denominator":"non-breastfed children 6-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"adequate_diet_total_6_23m_pct":{"label":"All children 6-23 months receiving an adequate diet","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 17.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"all children 6-23 months receiving an adequate diet","denominator":"all children 6-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"agri_pct":{"label":"Agricultural Workers","unit":"% of workers","definition":"100 * (Agricultural_Workers + Cultivator_Workers) / Workers.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"agricultural workers","denominator":"working population","weight_by":"population","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"anaemia_children_6_59m_pct":{"label":"Children 6-59 months who are anaemic (<11.0 g/dl)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 22: altitude-adjusted, CAPILLARY blood, official footnote blocks comparison with venous-blood surveys (CNNS, clinical data); the NFHS-4 to NFHS-5 jump is officially printed but publicly disputed as measurement-inflated. Trend publishable as-officially-reported WITH the capillary caveat.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"children 6-59 months who are anaemic (<11.0 g/dl)","denominator":"children 6-59 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"anaemia_men_15_49_pct":{"label":"Men 15-49 who are anaemic (<13.0 g/dl)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork; phase-1 states surveyed 2019-20, phase-2 states 2019-21), never a count or enumeration. fn 22: altitude- and smoking-adjusted, CAPILLARY blood -- the official footnote blocks comparison with venous-blood surveys. DIFFERENT cut-off from women (13.0 g/dl for men vs 12.0 non-pregnant / 11.0 pregnant): a male-female 'anaemia gap' computed from these two numbers is comparing different thresholds and must be labelled as such.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men 15-49 who are anaemic (<13.0 g/dl)","denominator":"men 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"anaemia_women_15_19_pct":{"label":"All women 15-19 who are anaemic","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Adolescent subset of the all-women composite; same mixed cut-offs and capillary caveat.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"all women 15-19 who are anaemic","denominator":"all women 15-19","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"anaemia_women_all_pct":{"label":"All women 15-49 who are anaemic (mixed cut-offs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Composite of pregnant (<11.0) and non-pregnant (<12.0) cut-offs, official but NOT a single-threshold rate; don't caption it '<12.0 g/dl'. Capillary caveat applies.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"all women 15-49 who are anaemic (mixed cut-offs)","denominator":"all women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"anaemia_women_nonpregnant_pct":{"label":"Non-pregnant women 15-49 who are anaemic (<12.0 g/dl)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 22: altitude and smoking adjusted; capillary caveat as for child anaemia.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"non-pregnant women 15-49 who are anaemic (<12.0 g/dl)","denominator":"non-pregnant women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"anaemia_women_pregnant_pct":{"label":"Pregnant women 15-49 who are anaemic (<11.0 g/dl)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Different cut-off (11.0) than non-pregnant (12.0); tiny base, often suppressed. Capillary caveat applies.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"pregnant women 15-49 who are anaemic (<11.0 g/dl)","denominator":"pregnant women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"anc_4plus_visits_pct":{"label":"Mothers with at least 4 antenatal care visits (last birth, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Official caveat printed in the factsheet: PMSMA was not fully rolled out at survey time, travels with the number.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"mothers with at least 4 antenatal care visits (last birth, 5 yrs)","denominator":"mothers","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"anc_first_trimester_pct":{"label":"Mothers with an antenatal check-up in the first trimester (last birth, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Per-woman 'last birth' denominator, not all births.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"mothers with an antenatal check-up in the first trimester (last birth, 5 yrs)","denominator":"mothers","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"area_km2":{"label":"Geographic Area","unit":"square kilometres","definition":"The geographic area of the place, in square kilometres, as published by the government rather than computed from a boundary file. Census 2011 table A-1 is the source at every grain from the country down to the sub-district; the workbook's own note 2 says the state and district figures are supplied by SURVEY OF INDIA and the sub-district figures are DERIVED BY ORGI THROUGH DIGITISATION, so the two grains have different pedigrees and every fact row carries which one it is in quality_note. AREA INCLUDES TERRITORY UNDER FOREIGN OCCUPATION wherever the census says so -- India's total carries 78,114 km2 held by Pakistan, 5,180 km2 ceded by Pakistan to China and 37,555 km2 held by China -- which is why it is NOT the denominator the census uses for its own published density. Total is not always Rural + Urban: Arunachal Pradesh publishes no rural/urban area at all, and 23,477.34 km2 of Kachchh (the Rann) lies under no sub-district. Never a cropped, forested or built-up area.","sensitivity":"public","kind":"amount","polarity":"neutral","fmt":"amount","source_ids":[54],"periods":["2011"],"areas":["rural","total","urban"],"signed":false,"inferred_only":false,"facts":1883},"ari_prevalence_2wk_pct":{"label":"Children under 5 with ARI symptoms in the last 2 weeks","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Symptoms-based (not clinically diagnosed), 2-week recall, and seasonal.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"children under 5 with ari symptoms in the last 2 weeks","denominator":"children under 5","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"birth_registration_u5_pct":{"label":"Children under 5 whose birth was registered with the civil authority","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Registration of the birth of children under age 5.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children under 5 whose birth was registered with the civil authority","denominator":"children under 5","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"births_order3plus_pct":{"label":"Births in the last 5 years that are third or higher order","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Share of recent births, not of women; a fertility-composition measure, NOT the TFR (factsheet has no TFR).","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"births in the last 5 years that are third or higher order","denominator":"births in the last 5 years","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"births_skilled_attendant_pct":{"label":"Births attended by skilled health personnel (all births, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 10: doctor/nurse/LHV/ANM/midwife/other health personnel.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"births in the last 5 years attended by skilled health personnel","denominator":"births in the last 5 years","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"breastfed_1hr_pct":{"label":"Children under 3 breastfed within one hour of birth","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 15: based on the LAST child born in the 3 years before the survey.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children under 3 breastfed within one hour of birth","denominator":"children under 3","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"car_pct":{"label":"Car / Jeep / Van","unit":"% of households","definition":"100 * Households_with_Car_Jeep_Van / households. The denominator is reconstructed from the four disjoint household-size buckets (246,692,667 nationally); the raw file's `Households` column is CENSUS HOUSES (330,835,767) and is not used.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households with car jeep van (Households_with_Car_Jeep_Van)","denominator":"households","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"census_pop_cagr_pct":{"label":"Population growth, annualised since the previous census","unit":"percent per year","definition":"Compound annual growth rate of the census population between this census and the PREVIOUS CENSUS THAT HAS A FIGURE FOR THIS DISTRICT, expressed as percent per year and filed under the later year. Annualised rather than published as a decadal change on purpose: three district-years have no census (Assam 1981, J&K 1991, Senapati 2001), so the following reading spans twenty years there and a decadal-change column would put a 20-year change beside 10-year ones in the same choropleth. Every cell here is per year. Derived from census_population, so it inherits its boundaries and its gaps, and the first census a district has (usually 1901) carries no value because there is nothing to compare against.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"population at this census minus population at the previous census, annualised","denominator":"population at the previous census","weight_by":"population","fmt":"pct","subject":"Population","source_ids":[52],"periods":["1911","1921","1931","1941","1951","1961","1971","1981","1991","2001","2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":6565},"census_population":{"label":"Population (census count)","unit":"people","definition":"Population enumerated by the Census of India, table A-2 (decadal variation in population since 1901). Twelve censuses, 1901 to 2011, for the district AS CONSTITUTED IN 2011: the Registrar General restates every earlier count onto 2011 boundaries, so a district created in 1991 still carries a 1901 figure for the territory it now covers. An enumeration, not an estimate or a projection. Three district-years are absent because no census was taken: Assam 1981, Jammu & Kashmir 1991, and Senapati (Manipur) 2001, whose three sub-divisions had their results cancelled. Those must read 'not enumerated' and never zero. State figures are the census's own state rows, so they are on the state as it stood at that census; Telangana, created in 2014, has no series before 2011.","sensitivity":"public","kind":"count","polarity":"neutral","numerator":"people","same_as":"population","fmt":"int","subject":"Population","source_ids":[52],"periods":["1901","1911","1921","1931","1941","1951","1961","1971","1981","1991","2001","2011"],"areas":["total"],"superseded_by":"population","legacy_ids":["a2_census_population"],"signed":true,"inferred_only":false,"facts":7205},"census_sex_ratio":{"label":"Sex ratio (census)","unit":"females per 1,000 males","definition":"Females per 1,000 males as enumerated, computed from the male and female counts published in Census table A-2 for the same district-year as census_population. The census's own convention, females per thousand males, NOT the inverse used by some international sources. Same 2011-boundary restatement and the same three unenumerated district-years as census_population.","sensitivity":"public","kind":"ratio","polarity":"neutral","numerator":"sex ratio (census)","denominator":"male population (per 1,000)","same_as":"sex_ratio","weight_by":"population","fmt":"int","subject":"Population","source_ids":[52],"periods":["1901","1911","1921","1931","1941","1951","1961","1971","1981","1991","2001","2011"],"areas":["total"],"scale":{"type":"diverging","scheme":"BrBG","domain":[800,950,1100]},"superseded_by":"sex_ratio","signed":true,"inferred_only":false,"facts":7167},"cereals_area_share_pct":{"label":"Share of gross cropped area sown to cereals","unit":"percent","definition":"APY administrative crop statistics (Directorate of Economics & Statistics, DA&FW), compiled from state reporting, an estimate of record, not a sample survey and not a satellite measurement. Aggregated from the source's crop x season rows for the district, excluding its 'Total' subtotal rows. Area sown to crops the source classifies 'Cereals' as a percentage of gross cropped area. A share of AREA, not of output or of value.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"area sown to cereals","denominator":"gross cropped area","weight_by":"population","fmt":"pct","subject":"Farming","source_ids":[35],"periods":["1997-1998","1998-1999","1999-2000","2000-2001","2001-2002","2002-2003","2003-2004","2004-2005","2005-2006","2006-2007","2007-2008","2008-2009","2009-2010","2010-2011","2011-2012","2012-2013","2013-2014","2014-2015","2015-2016","2016-2017","2017-2018","2018-2019","2019-2020","2020-2021","2021-2022","2022-2023"],"areas":["total"],"legacy_ids":["apy_cereals_area_share_pct","apyts_cereals_area_share_pct"],"signed":true,"inferred_only":false,"facts":15924},"children5_preprimary_pct":{"label":"Children age 5 attending pre-primary school (school year 2019-20)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. New in NFHS-5. Both compiled XLS files (district and state) fix the school year at 2019-20 in the column header for every unit, even though phase-2 fieldwork ran into 2020-21, the label is the compiler's, not a per-unit fact.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"children age 5 attending pre-primary school","denominator":"children age 5","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"children_u5_overweight_pct":{"label":"Children under 5 who are overweight (weight-for-height)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 20: above +2 SD.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"children under 5 who are overweight (weight-for-height)","denominator":"children under 5","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"children_u5_severely_wasted_pct":{"label":"Children under 5 who are severely wasted (weight-for-height)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 19: below -3 SD, subset of the wasted indicator.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"children under 5 who are severely wasted (weight-for-height)","denominator":"children under 5","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"children_u5_stunted_pct":{"label":"Children under 5 who are stunted (height-for-age)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 18: below -2 SD of the WHO child growth standard.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"children under 5 who are stunted (height-for-age)","denominator":"children under 5","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"legacy_ids":["nfhs4_children_u5_stunted_pct"],"signed":true,"inferred_only":false,"facts":2136},"children_u5_underweight_pct":{"label":"Children under 5 who are underweight (weight-for-age)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 18: below -2 SD.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"children under 5 who are underweight (weight-for-age)","denominator":"children under 5","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"children_u5_wasted_pct":{"label":"Children under 5 who are wasted (weight-for-height)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 18: below -2 SD.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"children under 5 who are wasted (weight-for-height)","denominator":"children under 5","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"christian_pct":{"label":"Christian","unit":"% of population","definition":"100 * Christians / Population, as officially reported by Census 2011.","sensitivity":"sensitive","kind":"rate","polarity":"neutral","numerator":"christians (Christians)","denominator":"population (Population)","weight_by":"population","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"cmw_fp_any_method_pct":{"label":"Family planning: any method (currently married women 15-49)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 6: includes methods not shown separately. Denominator excludes unmarried women, the '(currently married women 15-49)' qualifier must survive into any display.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"currently married women 15-49 using any family planning method","denominator":"currently married women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"cmw_fp_condom_pct":{"label":"Family planning: condom (currently married women 15-49)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Share of all currently married women 15-49.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"currently married women 15-49 using condoms","denominator":"currently married women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"cmw_fp_female_sterilization_pct":{"label":"Family planning: female sterilization (currently married women 15-49)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Share of ALL currently married women 15-49, not of contraceptive users.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"currently married women 15-49 using female sterilization","denominator":"currently married women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"cmw_fp_injectables_pct":{"label":"Family planning: injectables (currently married women 15-49)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Share of all currently married women 15-49.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"currently married women 15-49 using injectables","denominator":"currently married women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"cmw_fp_iud_pct":{"label":"Family planning: IUD/PPIUD (currently married women 15-49)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Share of all currently married women 15-49.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"currently married women 15-49 using IUD/PPIUD","denominator":"currently married women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"cmw_fp_male_sterilization_pct":{"label":"Family planning: male sterilization (currently married women 15-49)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Share of all currently married women 15-49.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"currently married women 15-49 using male sterilization","denominator":"currently married women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"cmw_fp_modern_method_pct":{"label":"Family planning: any modern method (currently married women 15-49)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 6. Currently married women 15-49 only.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"currently married women 15-49 using any modern method","denominator":"currently married women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"cmw_fp_pill_pct":{"label":"Family planning: pill (currently married women 15-49)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Share of all currently married women 15-49.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"currently married women 15-49 using the pill","denominator":"currently married women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"cmw_unmet_need_spacing_pct":{"label":"Unmet need for spacing (currently married women 15-49)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 7. Limiting is not published separately; 28 minus 29 is a derived figure and must be labelled derived if ever shown.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"currently married women 15-49 with unmet need for spacing","denominator":"currently married women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"cmw_unmet_need_total_pct":{"label":"Total unmet need for family planning (currently married women 15-49)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 7: fecund women who want to space or limit births but are not using contraception; spacing + limiting.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"currently married women 15-49 with unmet need for family planning","denominator":"currently married women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"computer_pct":{"label":"Computer / Laptop","unit":"% of households","definition":"100 * Households_with_Computer / households. The denominator is reconstructed from the four disjoint household-size buckets (246,692,667 nationally); the raw file's `Households` column is CENSUS HOUSES (330,835,767) and is not used.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households with computer (Households_with_Computer)","denominator":"households","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"crops_reported_n":{"label":"Distinct crops the source reports for this district","unit":"crops","definition":"APY administrative crop statistics (Directorate of Economics & Statistics, DA&FW), compiled from state reporting, an estimate of record, not a sample survey and not a satellite measurement. Aggregated from the source's crop x season rows for the district, excluding its 'Total' subtotal rows. A count of the source's REPORTING DEPTH, not of agricultural diversity: it says how many crops this district's return itemises, and it is the denominator context for every share above. The median district reports 20; a district reporting three has a return that is incomplete, not a monoculture.","sensitivity":"public","kind":"count","polarity":"neutral","numerator":"distinct crops reported","fmt":"int","subject":"Farming","source_ids":[35],"periods":["1997-1998","1998-1999","1999-2000","2000-2001","2001-2002","2002-2003","2003-2004","2004-2005","2005-2006","2006-2007","2007-2008","2008-2009","2009-2010","2010-2011","2011-2012","2012-2013","2013-2014","2014-2015","2015-2016","2016-2017","2017-2018","2018-2019","2019-2020","2020-2021","2021-2022","2022-2023"],"areas":["total"],"legacy_ids":["apy_crops_reported_n","apyts_crops_reported_n"],"signed":true,"inferred_only":false,"facts":15924},"csection_pct":{"label":"Births delivered by caesarean section (all births, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Share of ALL births.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"births in the last 5 years delivered by caesarean section","denominator":"births in the last 5 years","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"legacy_ids":["nfhs4_csection_pct"],"signed":true,"inferred_only":false,"facts":2136},"csection_private_pct":{"label":"C-sections among births in PRIVATE facilities (5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Denominator switch: share of private-facility births, NOT a decomposition of the all-births c-section rate; charting 46-48 as siblings without saying so misleads.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"caesarean deliveries in private facilities (5 yrs)","denominator":"births in private facilities (5 yrs)","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"csection_public_pct":{"label":"C-sections among births in PUBLIC facilities (5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Share of public-facility births (see private-facility note).","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"caesarean deliveries in public facilities (5 yrs)","denominator":"births in public facilities (5 yrs)","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"death_registration_3yr_pct":{"label":"Deaths in the last 3 years registered with the civil authority","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. 3-year household death recall. New topic in NFHS-5; NFHS-4 column is na.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"deaths in the last 3 years registered with the civil authority","denominator":"deaths in the last 3 years registered","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"density":{"label":"Population Density","unit":"people / km²","definition":"People per square kilometre of geographic area: population divided by area_km2 at the same place, period and area cut. GRAIN-INVARIANT (doctrine 6) -- the old text named one file and one grain (census_states_2011.csv, the state layer) and that was a description of a load, not of the number. Source 1 publishes it for 36 states/UTs at 2011; everywhere else it is computed as inf.inferred_fact method ratio_within_place from the two published terms, so a reader can always tell which it is. ⚠️ The census's OWN \"Population per sq. km.\" column in table A-1 is deliberately NOT loaded under this id: its denominator EXCLUDES the illegally occupied portion of Jammu & Kashmir while the published area INCLUDES it (India reads 382 against 368.3, J&K 124 against 56.4), so it is a different quotient. It is staged whole in ing.census_a01_area and promoting it is an owner ruling, not an ingest.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"the population of the place","denominator":"the geographic area of the place in square kilometres (area_km2)","weight_by":"area_km2","fmt":"ratio","source_ids":[],"periods":["2011"],"areas":["total"],"signed":false,"inferred_only":true,"facts":0},"diarrhoea_care_sought_2wk_pct":{"label":"Children with diarrhoea (2 wks) taken to a facility or provider","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Denominator: children with diarrhoea, tiny.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children with diarrhoea (2 wks) taken to a facility or provider","denominator":"children","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"diarrhoea_facility_2wk_pct":{"label":"Children with diarrhoea (2 wks) taken to a health facility","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Denominator: children with diarrhoea in the last 2 weeks. The criterion is being taken to a health FACILITY.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children with diarrhoea (2 wks) taken to a health facility","denominator":"children","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"diarrhoea_ors_2wk_pct":{"label":"Children with diarrhoea (2 wks) given ORS","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Denominator: children WITH diarrhoea, tiny; widely suppressed.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children with diarrhoea (2 wks) given ors","denominator":"children","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"diarrhoea_prevalence_2wk_pct":{"label":"Children under 5 with diarrhoea in the last 2 weeks","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. 2-week recall, and SEASONAL: fieldwork months differ between places and the two survey phases ran in different seasons, so the measure is sensitive to when a place was surveyed.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"children under 5 with diarrhoea in the last 2 weeks","denominator":"children under 5","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"diarrhoea_zinc_2wk_pct":{"label":"Children with diarrhoea (2 wks) given zinc","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Denominator: children with diarrhoea, tiny.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children with diarrhoea (2 wks) given zinc","denominator":"children","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"electricity_pct":{"label":"Electric Lighting","unit":"% of households","definition":"100 * Housholds_with_Electric_Lighting (source column name sic) / households. The denominator is reconstructed from the four disjoint household-size buckets (246,692,667 nationally); the raw file's `Households` column is CENSUS HOUSES (330,835,767) and is not used.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"housholds with electric lighting (Housholds_with_Electric_Lighting)","denominator":"households","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"excl_breastfeeding_u6m_pct":{"label":"Children under 6 months exclusively breastfed","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 16: youngest child living with the mother.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children under 6 months exclusively breastfed","denominator":"children under 6 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"female_6plus_ever_school_pct":{"label":"Female population age 6+ who ever attended school","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Attendance ever, not literacy and not current enrolment; must not be shortened to an 'education rate'.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"female population age 6+ who ever attended school","denominator":"female population age 6+","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"female_literacy":{"label":"Female literacy rate, age 7 and over","unit":"% of females aged 7+","definition":"Female literates divided by the female population aged 7 and over, the census's own literacy universe on the female half. The all-ages series this key used to carry is `female_literacy_all_ages`.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"female literates aged 7 and over","denominator":"female population aged 7 and over","weight_by":"population","fmt":"pct","subject":"Education","source_ids":[53],"periods":["1991","2001","2011"],"areas":["total"],"signed":false,"inferred_only":false,"facts":1851},"female_literacy_all_ages":{"label":"Literate share of all women","unit":"% of females","definition":"100 * Female_Literate / Female, all ages, infants included. The all-ages twin of `female_literacy`, which migration 123 moved onto the census's age 7+ universe. Median gap between the two over 640 districts: 8.43 points.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"female literates, all ages","denominator":"total female population","same_as":"female_literacy","weight_by":"population","fmt":"pct","subject":"Education","source_ids":[1],"periods":["2011"],"areas":["total"],"superseded_by":"female_literacy","signed":true,"inferred_only":false,"facts":640},"female_wpr":{"label":"Female Work Participation","unit":"% of females","definition":"100 * Female_Workers / Female.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"female workers (Female_Workers)","denominator":"female (Female)","weight_by":"population","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"fever_ari_care_sought_2wk_pct":{"label":"Children with fever/ARI symptoms (2 wks) taken to a facility or provider","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Denominator: children with fever or ARI symptoms.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children with fever/ari symptoms (2 wks) taken to a facility or provider","denominator":"children","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"fever_ari_facility_2wk_pct":{"label":"Children with fever/ARI symptoms (2 wks) taken to a health facility","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Denominator: children with fever or ARI symptoms in the last 2 weeks. The criterion is being taken to a health FACILITY.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children with fever/ari symptoms (2 wks) taken to a health facility","denominator":"children","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"fp_health_worker_talked_nonusers_pct":{"label":"Female non-users ever talked to by a health worker about family planning","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Denominator: female NON-users; 'ever', no recall window.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"female non-users ever talked to by a health worker about family planning","denominator":"female non-users of family planning","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"fp_users_told_side_effects_pct":{"label":"Current users told about side effects of their method (recent adopters)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 8: only users of sterilization/IUD/injectables/pill who started the method in the past 5 years, much narrower than 'all current users'.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"current users told about side effects of their method","denominator":"current users of a modern method (recent adopters)","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"full_anc_pct":{"label":"Mothers who received full antenatal care (last birth, 5 yrs)","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Composite of at least four antenatal visits, at least one tetanus toxoid injection and iron folic acid tablets or syrup taken for 100 days or more, for the last birth in the 5 years before the survey.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"mothers who received full antenatal care (last birth, 5 yrs)","denominator":"mothers","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"graduate_pct":{"label":"Graduates","unit":"% of educated","definition":"100 * Graduate_Education / Total_Education.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"graduate education (Graduate_Education)","denominator":"total education (Total_Education)","weight_by":"population","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"gross_cropped_area_ha":{"label":"Gross cropped area (area sown, counting each season separately)","unit":"hectares","definition":"APY administrative crop statistics (Directorate of Economics & Statistics, DA&FW), compiled from state reporting, an estimate of record, not a sample survey and not a satellite measurement. Aggregated from the source's crop x season rows for the district, excluding its 'Total' subtotal rows. Sum of the area sown to every crop in every season. A field cropped twice in the year is counted twice, so this is GROSS cropped area and not net sown area, and it is not the district's land area, a double-cropped district can exceed its own geographic area. Must never be shortened to 'cropped area' or compared with a land-area figure.","sensitivity":"public","kind":"amount","polarity":"neutral","numerator":"gross cropped area (area sown, counting each season separately)","fmt":"amount","subject":"Farming","source_ids":[35],"periods":["1997-1998","1998-1999","1999-2000","2000-2001","2001-2002","2002-2003","2003-2004","2004-2005","2005-2006","2006-2007","2007-2008","2008-2009","2009-2010","2010-2011","2011-2012","2012-2013","2013-2014","2014-2015","2015-2016","2016-2017","2017-2018","2018-2019","2019-2020","2020-2021","2021-2022","2022-2023"],"areas":["total"],"legacy_ids":["apy_gross_cropped_area_ha","apyts_gross_cropped_area_ha"],"signed":true,"inferred_only":false,"facts":15924},"hh_clean_cooking_fuel_pct":{"label":"Households using clean fuel for cooking","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 3: electricity, LPG/natural gas, biogas only. Household denominator (unlike indicators 7-9).","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households using clean fuel for cooking","denominator":"households","weight_by":"households","fmt":"pct","subject":"Household assets","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"legacy_ids":["nfhs4_hh_clean_cooking_fuel_pct"],"signed":true,"inferred_only":false,"facts":2136},"hh_electricity_pct":{"label":"Households with electricity","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. HOUSEHOLD denominator. The NFHS-4 factsheet reports this amenity per household; NFHS-5 reports the population living in such households.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households with electricity","denominator":"households","weight_by":"households","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"hh_health_insurance_pct":{"label":"Households with any usual member covered by health insurance/financing","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Official caveat printed in the factsheet: AB-PMJAY was not fully rolled out at survey time and 'may not have been factored', this caveat travels with the number.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households with any usual member covered by health insurance/financing","denominator":"households","weight_by":"households","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"legacy_ids":["nfhs4_hh_health_insurance_pct"],"signed":true,"inferred_only":false,"facts":2136},"hh_improved_sanitation_pct":{"label":"Households using an improved, unshared sanitation facility","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. HOUSEHOLD denominator. Improved facility not shared with any other household; the factsheet footnote itself warns this does not denote complete access to a toilet facility, and that sentence travels with the number.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households using an improved, unshared sanitation facility","denominator":"households","weight_by":"households","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"hh_improved_water_pct":{"label":"Households with an improved drinking-water source","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. HOUSEHOLD denominator. The improved set is the NFHS-4 footnote's; NFHS-5 widened it (piped to neighbour, community RO plant).","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households with an improved drinking-water source","denominator":"households","weight_by":"households","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"hh_iodized_salt_pct":{"label":"Households using iodized salt (among households where salt was tested)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Among households in which salt was tested (BA §7.6: denominator wording per the factsheet; XLS carries no separate tested-household base).","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households using iodized salt","denominator":"households where salt was tested","weight_by":"households","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"hindu_pct":{"label":"Hindu","unit":"% of population","definition":"100 * Hindus / Population, as officially reported by Census 2011.","sensitivity":"sensitive","kind":"rate","polarity":"neutral","numerator":"hindus (Hindus)","denominator":"population (Population)","weight_by":"population","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"home_birth_checkup_24hr_pct":{"label":"Home births taken to a health facility within 24 hours (last birth, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Denominator is home births only, which is a small and shrinking group.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"home births taken to a health facility within 24 hours (last birth, 5 yrs)","denominator":"home births (last birth, 5 yrs)","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"home_births_skilled_pct":{"label":"Home births conducted by skilled health personnel (all births, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 10 defines skilled personnel. Share of all births.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"home births conducted by skilled health personnel (5 yrs)","denominator":"home births (5 yrs)","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"ifa_100days_pct":{"label":"Mothers who consumed iron folic acid 100+ days in pregnancy (last birth, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Superset of the 180-day indicator; display together.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"mothers who consumed iron folic acid 100+ days in pregnancy (last birth, 5 yrs)","denominator":"mothers","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"ifa_180days_pct":{"label":"Mothers who consumed iron folic acid 180+ days in pregnancy (last birth, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Subset of the 100-day indicator (180 within 100).","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"mothers who consumed iron folic acid 180+ days in pregnancy (last birth, 5 yrs)","denominator":"mothers","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"institutional_births_pct":{"label":"Institutional births (all births, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Share of ALL births in the 5 years before the survey, different denominator from the maternity-care block.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"institutional births (5 yrs)","denominator":"births in the last 5 years","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"institutional_births_public_pct":{"label":"Institutional births in a public facility (all births, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Share of ALL births, not of institutional births.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"institutional births in a public facility (5 yrs)","denominator":"births in the last 5 years","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"internet_pct":{"label":"Internet","unit":"% of households","definition":"100 * Households_with_Internet / households. The denominator is reconstructed from the four disjoint household-size buckets (246,692,667 nationally); the raw file's `Households` column is CENSUS HOUSES (330,835,767) and is not used.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households with internet (Households_with_Internet)","denominator":"households","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"jsy_assistance_institutional_births_pct":{"label":"Mothers who received Janani Suraksha Yojana assistance (institutional births, 5 yrs)","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Denominator: births delivered in an institution in the 5 years before the survey, not all births and not all mothers. A programme-receipt measure, self-reported.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"mothers who received janani suraksha yojana assistance (institutional births, 5 yrs)","denominator":"mothers","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"kitchen_pct":{"label":"Separate Kitchen","unit":"% of households","definition":"100 * Households_with_separate_kitchen_Cooking_inside_house / households. The denominator is reconstructed from the four disjoint household-size buckets (246,692,667 nationally); the raw file's `Households` column is CENSUS HOUSES (330,835,767) and is not used.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households with separate kitchen cooking inside house (Households_with_separate_kitchen_Cooking_inside_house)","denominator":"households","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"latrine_pct":{"label":"Latrine in Premises","unit":"% of households","definition":"100 * Having_latrine_facility_within_the_premises_Total_Households / households. The denominator is reconstructed from the four disjoint household-size buckets (246,692,667 nationally); the raw file's `Households` column is CENSUS HOUSES (330,835,767) and is not used.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"having latrine facility within the premises total households (Having_latrine_facility_within_the_premises_Total_Households)","denominator":"households","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"literacy_gap":{"label":"Literacy gap, men over women, age 7 and over","unit":"male − female pts","definition":"Male literacy rate minus female literacy rate, in percentage POINTS, both halves on the census's age 7+ universe. Not a percentage and never formatted with a % sign. The all-ages version is `literacy_gap_all_ages`.","sensitivity":"public","kind":"index","polarity":"lower_is_better","numerator":"male literacy rate (7+) minus female literacy rate (7+)","denominator":"male (Male)","weight_by":"population","fmt":"ratio","subject":"Education","source_ids":[53],"periods":["1991","2001","2011"],"areas":["total"],"signed":false,"inferred_only":false,"facts":1851},"literacy_gap_all_ages":{"label":"Literacy gender gap, all ages","unit":"male − female pts","definition":"Male literacy % minus female literacy %, each first rounded to 2 dp (the intermediate rounding is part of the published definition), both halves on the ALL-AGES denominator. Median gap against the age 7+ version over 640 districts: 2.57 points.","sensitivity":"public","kind":"index","polarity":"lower_is_better","numerator":"male all-ages literacy rate minus female all-ages literacy rate","same_as":"literacy_gap","weight_by":"population","fmt":"ratio","subject":"Education","source_ids":[1],"periods":["2011"],"areas":["total"],"superseded_by":"literacy_gap","signed":true,"inferred_only":false,"facts":640},"literacy_rate":{"label":"Literacy rate, age 7 and over","unit":"% literate (age 7+)","definition":"Literates divided by the population aged 7 and over, the census's OWN literacy universe: the rate the Registrar General publishes, the rate NFHS reports and the rate any published comparison assumes. Children under 7 are excluded from both halves because the census does not classify them as literate or illiterate. Loaded for 1991, 2001 and 2011 on constant 2011 district geometry from SHRUG; the all-ages series this key used to carry is `literacy_rate_all_ages`.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"literates aged 7 and over","denominator":"population aged 7 and over","weight_by":"population","fmt":"pct","subject":"Education","source_ids":[53],"periods":["1991","2001","2011"],"areas":["total"],"legacy_ids":["literacy_rate_7plus"],"signed":false,"inferred_only":false,"facts":1851},"literacy_rate_all_ages":{"label":"Literate share of the whole population","unit":"% literate (all ages)","definition":"Literates as a share of the TOTAL population, all ages included. NOT the official Census literacy rate, which divides by population aged 7+ and is higher (e.g. Malappuram: 80.5% here vs 93.55% official). Shipped under the key `literacy_rate` from 2026-06 until migration 123 moved it here and gave that key the census's own definition; the two must never be compared. Relabel decision 2026-07-26, BA-approved; see LITERACY_FOOTNOTE in web/lib/seo.ts.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"literates, all ages","denominator":"total population","same_as":"literacy_rate","weight_by":"population","fmt":"pct","subject":"Education","source_ids":[1],"periods":["2011"],"areas":["total"],"superseded_by":"literacy_rate","signed":true,"inferred_only":false,"facts":640},"lpg_pct":{"label":"LPG / PNG Cooking","unit":"% of households","definition":"100 * LPG_or_PNG_Households / households. The denominator is reconstructed from the four disjoint household-size buckets (246,692,667 nationally); the raw file's `Households` column is CENSUS HOUSES (330,835,767) and is not used.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"lpg or png households (LPG_or_PNG_Households)","denominator":"households","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"mcp_card_pct":{"label":"Registered pregnancies that received an MCP card (last birth, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Denominator: REGISTERED pregnancies only.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"registered pregnancies that received an mcp card (last birth, 5 yrs)","denominator":"registered pregnancies","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"men_15_49_bp_moderately_high_pct":{"label":"Men 15-49 with moderately high blood pressure (160-179/100-109)","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Systolic 160-179 mm Hg and/or diastolic 100-109 mm Hg among men age 15-49. An elevated reading band, not a diagnosis.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men 15-49 with moderately high blood pressure (160-179/100-109)","denominator":"men 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"men_15_49_bp_slightly_high_pct":{"label":"Men 15-49 with slightly above normal blood pressure (140-159/90-99)","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Systolic 140-159 mm Hg and/or diastolic 90-99 mm Hg among men age 15-49, from the men's subsample. An elevated reading band, not a diagnosis.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men 15-49 with slightly above normal blood pressure (140-159/90-99)","denominator":"men 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"men_15_49_bp_very_high_pct":{"label":"Men 15-49 with very high blood pressure (>=180/>=110)","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Systolic >=180 mm Hg and/or diastolic >=110 mm Hg among men age 15-49. An elevated reading band, not a diagnosis.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men 15-49 with very high blood pressure (>=180/>=110)","denominator":"men 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"men_15_49_glucose_high_pct":{"label":"Men 15-49 with high blood sugar reading (>140 mg/dl)","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Random blood glucose above 140 mg/dl among men age 15-49, from the men's subsample; not diabetes prevalence.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men 15-49 with high blood sugar reading (>140 mg/dl)","denominator":"men 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"men_15_49_glucose_very_high_pct":{"label":"Men 15-49 with very high blood sugar reading (>160 mg/dl)","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Random blood glucose above 160 mg/dl among men age 15-49, from the men's subsample; not diabetes prevalence.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men 15-49 with very high blood sugar reading (>160 mg/dl)","denominator":"men 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"men_15_49_literate_nfhs4_pct":{"label":"Men age 15-49 who are literate (NFHS-4 definition)","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Men 15-49 only, from the men's subsample. The literacy criterion is the NFHS-4 factsheet's. Never label as a 'literacy rate' and never compare to any census literacy figure.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"men age 15-49 who are literate (nfhs-4 definition)","denominator":"men age 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"men_15plus_alcohol_pct":{"label":"Men 15+ who consume alcohol","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Self-reported; small male sample; same framing care. NFHS-4 na.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"men 15+ who consume alcohol","denominator":"men 15+","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"men_15plus_tobacco_pct":{"label":"Men 15+ who use any kind of tobacco","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Self-reported; small male sample. NFHS-4 na.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men 15+ who use any kind of tobacco","denominator":"men 15+","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"men_25_29_married_before_21_pct":{"label":"Men age 25-29 who were married before age 21","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork; phase-1 states surveyed 2019-20, phase-2 states 2019-21), never a count or enumeration. Cohort measure (men now 25-29, married below the legal age then), NOT a current early-marriage rate. Different age band and different legal threshold from the women's indicator (20-24 / 18) -- the two are NOT a matched male/female pair and must not be charted as one. Small male sample; widely flagged.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men age 25-29 who were married before age 21","denominator":"men age 25-29","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"men_bmi_below_normal_pct":{"label":"Men 15-49 with BMI below normal (<18.5 kg/m2)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork; phase-1 states surveyed 2019-20, phase-2 states 2019-21), never a count or enumeration. Male counterpart of women_bmi_below_normal_pct. The women's indicator carries fn 21 exclusions (pregnant women, women with a birth in the preceding 2 months); no such exclusion applies to men, so the two denominators are NOT symmetric. Small male sample.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men 15-49 with bmi below normal (<18.5 kg/m2)","denominator":"men 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"men_bp_elevated_or_treated_pct":{"label":"Men 15+ with elevated blood pressure or on medication","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Composite with medication; small male sample. NFHS-4 na.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men 15+ with elevated blood pressure or on medication","denominator":"men 15+","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"men_bp_mild_pct":{"label":"Men 15+ with mildly elevated blood pressure (140-159/90-99)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Elevated reading; small male sample. NFHS-4 na.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"men 15+ with mildly elevated blood pressure (140-159/90-99)","denominator":"men 15+","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"men_bp_moderate_severe_pct":{"label":"Men 15+ with moderately/severely elevated blood pressure (>=160/>=100)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Elevated reading; small male sample. NFHS-4 na.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men 15+ with moderately/severely elevated blood pressure (>=160/>=100)","denominator":"men 15+","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"men_glucose_high_or_treated_pct":{"label":"Men 15+ with high/very high blood sugar reading or on medication","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Composite with medication; small male sample. NFHS-4 na.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men 15+ with high/very high blood sugar reading or on medication","denominator":"men 15+","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"men_glucose_high_pct":{"label":"Men 15+ with high blood sugar reading (141-160 mg/dl)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Random glucose. Men are a subsample of surveyed households, so this rests on a smaller base than the women's counterpart. NFHS-4 na.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"men 15+ with high blood sugar reading (141-160 mg/dl)","denominator":"men 15+","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"men_glucose_very_high_pct":{"label":"Men 15+ with very high blood sugar reading (>160 mg/dl)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Random glucose; small male sample. NFHS-4 na.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"men 15+ with very high blood sugar reading (>160 mg/dl)","denominator":"men 15+","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"men_overweight_obese_pct":{"label":"Men 15-49 overweight or obese (BMI >=25.0 kg/m2)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork; phase-1 states surveyed 2019-20, phase-2 states 2019-21), never a count or enumeration. Same BMI threshold as the women's indicator; the fn 21 exclusions apply to women only. Small male sample.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"men 15-49 with BMI >= 25.0 kg/m2","denominator":"men 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"mgnrega_avg_wage_rate":{"label":"MGNREGA average wage rate paid per person-day","unit":"rupees per person-day","definition":"Administrative return of the Mahatma Gandhi National Rural Employment Guarantee Scheme (MoRD), reported by the district and published monthly as a FINANCIAL-YEAR-TO-DATE figure: the value against a month is the position at the end of that month, cumulative from 1 April, not that month's own flow. The average wage actually paid per person-day of unskilled work so far this financial year. It is neither the notified state wage rate nor a household's daily income, and it moves with the mix of work as well as with the rate.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"mgnrega average wage rate paid per person-day","denominator":"person-days","weight_by":"mgnrega_persondays_fytd","fmt":"ratio","subject":"Rural employment","source_ids":[41],"periods":["2018-04","2018-05","2018-06","2018-07","2018-08","2018-09","2018-10","2018-11","2018-12","2019-01","2019-02","2019-03","2019-04","2019-05","2019-06","2019-07","2019-08","2019-09","2019-10","2019-11","2019-12","2020-01","2020-02","2020-03","2020-04","2020-05","2020-06","2020-07","2020-08","2020-09","2020-10","2020-11","2020-12","2021-01","2021-02","2021-03","2021-04","2021-05","2021-06","2021-07","2021-08","2021-09","2021-10","2021-11","2021-12","2022-01","2022-02","2022-03","2022-04","2022-05","2022-06","2022-07","2022-08","2022-09","2022-10","2022-11","2022-12","2023-01","2023-02","2023-03","2023-04","2023-05","2023-06","2023-07","2023-08","2023-09","2023-10","2023-11","2023-12","2024-01","2024-02","2024-03","2024-04","2024-05","2024-06","2024-07","2024-08","2024-09","2024-10","2024-11","2024-12","2025-01","2025-02","2025-03","2025-04","2025-05","2025-06","2025-07","2025-08","2025-09","2025-10","2025-11","2025-12","2026-01","2026-02","2026-03","2026-04"],"areas":["total"],"signed":true,"inferred_only":false,"facts":64286},"mgnrega_days_per_household_fytd":{"label":"MGNREGA average days of employment per household (financial year to date)","unit":"days per household","definition":"Administrative return of the Mahatma Gandhi National Rural Employment Guarantee Scheme (MoRD), reported by the district and published monthly as a FINANCIAL-YEAR-TO-DATE figure: the value against a month is the position at the end of that month, cumulative from 1 April, not that month's own flow. Days of employment provided so far this financial year per household that worked. The denominator is households that WORKED, not households holding a job card and not all rural households, so it does not fall when demand goes unmet. Read against the scheme's 100-day entitlement only at year end: a mid-year figure is a part-year figure and is low by construction.","sensitivity":"public","kind":"ratio","polarity":"neutral","numerator":"mgnrega average days of employment per household (financial year to date)","denominator":"households that worked","weight_by":"households","fmt":"ratio","subject":"Rural employment","source_ids":[41],"periods":["2018-04","2018-05","2018-06","2018-07","2018-08","2018-09","2018-10","2018-11","2018-12","2019-01","2019-02","2019-03","2019-04","2019-05","2019-06","2019-07","2019-08","2019-09","2019-10","2019-11","2019-12","2020-01","2020-02","2020-03","2020-04","2020-05","2020-06","2020-07","2020-08","2020-09","2020-10","2020-11","2020-12","2021-01","2021-02","2021-03","2021-04","2021-05","2021-06","2021-07","2021-08","2021-09","2021-10","2021-11","2021-12","2022-01","2022-02","2022-03","2022-04","2022-05","2022-06","2022-07","2022-08","2022-09","2022-10","2022-11","2022-12","2023-01","2023-02","2023-03","2023-04","2023-05","2023-06","2023-07","2023-08","2023-09","2023-10","2023-11","2023-12","2024-01","2024-02","2024-03","2024-04","2024-05","2024-06","2024-07","2024-08","2024-09","2024-10","2024-11","2024-12","2025-01","2025-02","2025-03","2025-04","2025-05","2025-06","2025-07","2025-08","2025-09","2025-10","2025-11","2025-12","2026-01","2026-02","2026-03","2026-04"],"areas":["total"],"signed":true,"inferred_only":false,"facts":64286},"mgnrega_households_worked_fytd":{"label":"MGNREGA households that worked (financial year to date)","unit":"households","definition":"Administrative return of the Mahatma Gandhi National Rural Employment Guarantee Scheme (MoRD), reported by the district and published monthly as a FINANCIAL-YEAR-TO-DATE figure: the value against a month is the position at the end of that month, cumulative from 1 April, not that month's own flow. Distinct households that have been provided at least one day of employment so far this financial year. A household is counted once however many days it worked, and unmet demand is invisible here, this counts work given, never work sought.","sensitivity":"public","kind":"count","polarity":"neutral","numerator":"households","fmt":"int","subject":"Rural employment","source_ids":[41],"periods":["2018-04","2018-05","2018-06","2018-07","2018-08","2018-09","2018-10","2018-11","2018-12","2019-01","2019-02","2019-03","2019-04","2019-05","2019-06","2019-07","2019-08","2019-09","2019-10","2019-11","2019-12","2020-01","2020-02","2020-03","2020-04","2020-05","2020-06","2020-07","2020-08","2020-09","2020-10","2020-11","2020-12","2021-01","2021-02","2021-03","2021-04","2021-05","2021-06","2021-07","2021-08","2021-09","2021-10","2021-11","2021-12","2022-01","2022-02","2022-03","2022-04","2022-05","2022-06","2022-07","2022-08","2022-09","2022-10","2022-11","2022-12","2023-01","2023-02","2023-03","2023-04","2023-05","2023-06","2023-07","2023-08","2023-09","2023-10","2023-11","2023-12","2024-01","2024-02","2024-03","2024-04","2024-05","2024-06","2024-07","2024-08","2024-09","2024-10","2024-11","2024-12","2025-01","2025-02","2025-03","2025-04","2025-05","2025-06","2025-07","2025-08","2025-09","2025-10","2025-11","2025-12","2026-01","2026-02","2026-03","2026-04"],"areas":["total"],"signed":true,"inferred_only":false,"facts":64286},"mgnrega_persondays_fytd":{"label":"MGNREGA person-days generated (financial year to date)","unit":"person-days","definition":"Administrative return of the Mahatma Gandhi National Rural Employment Guarantee Scheme (MoRD), reported by the district and published monthly as a FINANCIAL-YEAR-TO-DATE figure: the value against a month is the position at the end of that month, cumulative from 1 April, not that month's own flow. Person-days of unskilled manual employment provided under the CENTRAL liability so far this financial year; days borne by a state's own liability are outside this count. A person-day is one person employed for one day, so this is a volume of work and not a headcount.","sensitivity":"public","kind":"count","polarity":"neutral","numerator":"person-days","fmt":"int","subject":"Rural employment","source_ids":[41],"periods":["2018-04","2018-05","2018-06","2018-07","2018-08","2018-09","2018-10","2018-11","2018-12","2019-01","2019-02","2019-03","2019-04","2019-05","2019-06","2019-07","2019-08","2019-09","2019-10","2019-11","2019-12","2020-01","2020-02","2020-03","2020-04","2020-05","2020-06","2020-07","2020-08","2020-09","2020-10","2020-11","2020-12","2021-01","2021-02","2021-03","2021-04","2021-05","2021-06","2021-07","2021-08","2021-09","2021-10","2021-11","2021-12","2022-01","2022-02","2022-03","2022-04","2022-05","2022-06","2022-07","2022-08","2022-09","2022-10","2022-11","2022-12","2023-01","2023-02","2023-03","2023-04","2023-05","2023-06","2023-07","2023-08","2023-09","2023-10","2023-11","2023-12","2024-01","2024-02","2024-03","2024-04","2024-05","2024-06","2024-07","2024-08","2024-09","2024-10","2024-11","2024-12","2025-01","2025-02","2025-03","2025-04","2025-05","2025-06","2025-07","2025-08","2025-09","2025-10","2025-11","2025-12","2026-01","2026-02","2026-03","2026-04"],"areas":["total"],"signed":true,"inferred_only":false,"facts":64286},"mgnrega_wages_paid_fytd":{"label":"MGNREGA unskilled wages paid (financial year to date)","unit":"rupees lakh","definition":"Administrative return of the Mahatma Gandhi National Rural Employment Guarantee Scheme (MoRD), reported by the district and published monthly as a FINANCIAL-YEAR-TO-DATE figure: the value against a month is the position at the end of that month, cumulative from 1 April, not that month's own flow. Unskilled wage expenditure so far this financial year, in lakh rupees as published. It excludes material and skilled wages and excludes administrative expenditure, so it is smaller than total scheme expenditure and must never be labelled as it. Nominal rupees of the financial year, never deflated.","sensitivity":"public","kind":"amount","polarity":"neutral","numerator":"mgnrega unskilled wages paid (financial year to date)","fmt":"amount","subject":"Rural employment","source_ids":[41],"periods":["2018-04","2018-05","2018-06","2018-07","2018-08","2018-09","2018-10","2018-11","2018-12","2019-01","2019-02","2019-03","2019-04","2019-05","2019-06","2019-07","2019-08","2019-09","2019-10","2019-11","2019-12","2020-01","2020-02","2020-03","2020-04","2020-05","2020-06","2020-07","2020-08","2020-09","2020-10","2020-11","2020-12","2021-01","2021-02","2021-03","2021-04","2021-05","2021-06","2021-07","2021-08","2021-09","2021-10","2021-11","2021-12","2022-01","2022-02","2022-03","2022-04","2022-05","2022-06","2022-07","2022-08","2022-09","2022-10","2022-11","2022-12","2023-01","2023-02","2023-03","2023-04","2023-05","2023-06","2023-07","2023-08","2023-09","2023-10","2023-11","2023-12","2024-01","2024-02","2024-03","2024-04","2024-05","2024-06","2024-07","2024-08","2024-09","2024-10","2024-11","2024-12","2025-01","2025-02","2025-03","2025-04","2025-05","2025-06","2025-07","2025-08","2025-09","2025-10","2025-11","2025-12","2026-01","2026-02","2026-03","2026-04"],"areas":["total"],"signed":true,"inferred_only":false,"facts":64286},"mgnrega_women_persondays_fytd":{"label":"MGNREGA person-days worked by women (financial year to date)","unit":"person-days","definition":"Administrative return of the Mahatma Gandhi National Rural Employment Guarantee Scheme (MoRD), reported by the district and published monthly as a FINANCIAL-YEAR-TO-DATE figure: the value against a month is the position at the end of that month, cumulative from 1 April, not that month's own flow. Person-days of employment taken up by women so far this financial year, as published. It is deliberately held as a COUNT and not as a share: the source publishes this beside a person-days figure restricted to the central liability, and it has not been established that the two carry the same denominator, so a percentage computed from the pair would be a ratio of two things that may not divide.","sensitivity":"public","kind":"count","polarity":"neutral","numerator":"person-days","fmt":"int","subject":"Rural employment","source_ids":[41],"periods":["2018-04","2018-05","2018-06","2018-07","2018-08","2018-09","2018-10","2018-11","2018-12","2019-01","2019-02","2019-03","2019-04","2019-05","2019-06","2019-07","2019-08","2019-09","2019-10","2019-11","2019-12","2020-01","2020-02","2020-03","2020-04","2020-05","2020-06","2020-07","2020-08","2020-09","2020-10","2020-11","2020-12","2021-01","2021-02","2021-03","2021-04","2021-05","2021-06","2021-07","2021-08","2021-09","2021-10","2021-11","2021-12","2022-01","2022-02","2022-03","2022-04","2022-05","2022-06","2022-07","2022-08","2022-09","2022-10","2022-11","2022-12","2023-01","2023-02","2023-03","2023-04","2023-05","2023-06","2023-07","2023-08","2023-09","2023-10","2023-11","2023-12","2024-01","2024-02","2024-03","2024-04","2024-05","2024-06","2024-07","2024-08","2024-09","2024-10","2024-11","2024-12","2025-01","2025-02","2025-03","2025-04","2025-05","2025-06","2025-07","2025-08","2025-09","2025-10","2025-11","2025-12","2026-01","2026-02","2026-03","2026-04"],"areas":["total"],"signed":true,"inferred_only":false,"facts":64286},"muslim_pct":{"label":"Muslim","unit":"% of population","definition":"100 * Muslims / Population, as officially reported by Census 2011.","sensitivity":"sensitive","kind":"rate","polarity":"neutral","numerator":"muslims (Muslims)","denominator":"population (Population)","weight_by":"population","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"neonatal_tetanus_protected_pct":{"label":"Last birth protected against neonatal tetanus (last birth, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 9: complex multi-injection/recency rule, link the full footnote, don't paraphrase.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"last births protected against neonatal tetanus (5 yrs)","denominator":"last births (5 yrs)","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"newborn_checkup_24hr_pct":{"label":"Children who received a health check within 24 hours of birth (last birth, 5 yrs)","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Health check from a doctor/nurse/LHV/ANM/midwife/other health personnel within 24 HOURS of birth.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children who received a health check within 24 hours of birth (last birth, 5 yrs)","denominator":"children","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"oilseeds_area_share_pct":{"label":"Share of gross cropped area sown to oilseeds","unit":"percent","definition":"APY administrative crop statistics (Directorate of Economics & Statistics, DA&FW), compiled from state reporting, an estimate of record, not a sample survey and not a satellite measurement. Aggregated from the source's crop x season rows for the district, excluding its 'Total' subtotal rows. Area sown to crops the source classifies 'Oilseeds' as a percentage of gross cropped area. A share of AREA, not of output or of value.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"area sown to oilseeds","denominator":"gross cropped area","weight_by":"population","fmt":"pct","subject":"Farming","source_ids":[35],"periods":["1997-1998","1998-1999","1999-2000","2000-2001","2001-2002","2002-2003","2003-2004","2004-2005","2005-2006","2006-2007","2007-2008","2008-2009","2009-2010","2010-2011","2011-2012","2012-2013","2013-2014","2014-2015","2015-2016","2016-2017","2017-2018","2018-2019","2019-2020","2020-2021","2021-2022","2022-2023"],"areas":["total"],"legacy_ids":["apy_oilseeds_area_share_pct","apyts_oilseeds_area_share_pct"],"signed":true,"inferred_only":false,"facts":15924},"oop_delivery_public_rs":{"label":"Average out-of-pocket expenditure per delivery in a public facility","unit":"rupees (mean)","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. The only rupee-valued indicator: a MEAN (outlier-sensitive), public facilities only, nominal rupees, any NFHS-4 trend must say 'not inflation-adjusted'.","sensitivity":"public","kind":"amount","polarity":"lower_is_better","numerator":"average out-of-pocket expenditure per delivery in a public facility","fmt":"amount","subject":"Income & wealth","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"legacy_ids":["nfhs4_oop_delivery_public_rs"],"signed":true,"inferred_only":false,"facts":2136},"phone_pct":{"label":"Telephone / Mobile","unit":"% of households","definition":"100 * Households_with_Telephone_Mobile_Phone / households. The denominator is reconstructed from the four disjoint household-size buckets (246,692,667 nationally); the raw file's `Households` column is CENSUS HOUSES (330,835,767) and is not used.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households with telephone mobile phone (Households_with_Telephone_Mobile_Phone)","denominator":"households","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"pnc_mother_2days_pct":{"label":"Mothers receiving postnatal care within 2 days of delivery (last birth, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. From doctor/nurse/LHV/ANM/midwife/other health personnel.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"mothers receiving postnatal care within 2 days of delivery (last birth, 5 yrs)","denominator":"mothers","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"pnc_newborn_2days_pct":{"label":"Children receiving postnatal care within 2 days of delivery (last birth, 5 yrs)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. New in NFHS-5; NFHS-4 column is na.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children receiving postnatal care within 2 days of delivery (last birth, 5 yrs)","denominator":"children","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"poor_pct":{"label":"Low Income (< ₹45k)","unit":"% of households","definition":"100 * Power_Parity_Less_than_Rs_45000 / Total_Power_Parity.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"power parity less than rs 45000 (Power_Parity_Less_than_Rs_45000)","denominator":"total power parity (Total_Power_Parity)","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"pop_hh_electricity_pct":{"label":"Population living in households with electricity","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Denominator is POPULATION, not households, census amenity columns are per-household; cross-dataset denominator trap.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"population living in households with electricity","denominator":"population living in households","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"pop_hh_improved_sanitation_pct":{"label":"Population living in households using an improved, unshared sanitation facility","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 2: improved facility not shared with any other household; the footnote itself warns this 'does not denote access to toilet facility completely', that sentence must survive onto the site. Population denominator.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"population in households using an improved, unshared sanitation facility","denominator":"population in surveyed households","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"pop_hh_improved_water_pct":{"label":"Population living in households with an improved drinking-water source","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 1 lists the improved set; NFHS-5 added piped-to-neighbour and community RO plant (DHS-7 change), so the NFHS-4 pair is mildly definition-shifted. Population denominator.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"population living in households with an improved drinking-water source","denominator":"population living in households","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"pop_under15_pct":{"label":"Population below age 15 (surveyed households)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. De-facto surveyed household population, not census age structure; do not chart against census 2011 age data.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"population below age 15 in surveyed households","denominator":"population in surveyed households","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"population":{"label":"Population","unit":"people","definition":"Total population (Census 2011 'Population' column).","sensitivity":"public","kind":"count","polarity":"neutral","numerator":"tot p (TOT_P)","fmt":"int","subject":"Population","source_ids":[1,53],"periods":["1991","2001","2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":2491},"pulses_area_share_pct":{"label":"Share of gross cropped area sown to pulses","unit":"percent","definition":"APY administrative crop statistics (Directorate of Economics & Statistics, DA&FW), compiled from state reporting, an estimate of record, not a sample survey and not a satellite measurement. Aggregated from the source's crop x season rows for the district, excluding its 'Total' subtotal rows. Area sown to crops the source classifies 'Pulses' as a percentage of gross cropped area. A share of AREA, not of output or of value.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"area sown to pulses","denominator":"gross cropped area","weight_by":"population","fmt":"pct","subject":"Farming","source_ids":[35],"periods":["1997-1998","1998-1999","1999-2000","2000-2001","2001-2002","2002-2003","2003-2004","2004-2005","2005-2006","2006-2007","2007-2008","2008-2009","2009-2010","2010-2011","2011-2012","2012-2013","2013-2014","2014-2015","2015-2016","2016-2017","2017-2018","2018-2019","2019-2020","2020-2021","2021-2022","2022-2023"],"areas":["total"],"legacy_ids":["apy_pulses_area_share_pct","apyts_pulses_area_share_pct"],"signed":true,"inferred_only":false,"facts":15924},"rice_yield_t_per_ha":{"label":"Rice yield per hectare sown","unit":"tonnes per hectare","definition":"APY administrative crop statistics (Directorate of Economics & Statistics, DA&FW), compiled from state reporting, an estimate of record, not a sample survey and not a satellite measurement. Aggregated from the source's crop x season rows for the district, excluding its 'Total' subtotal rows. Total rice production divided by total rice area for the district, a production-weighted yield, NOT the mean of the source's per-row yield column, which would weight a small summer plot equally with the main kharif crop. Defined only where the district reports rice area and production; absent otherwise, never zero.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"total rice production","denominator":"total rice area for the district","weight_by":"gross_cropped_area_ha","fmt":"ratio","subject":"Farming","source_ids":[35],"periods":["1997-1998","1998-1999","1999-2000","2000-2001","2001-2002","2002-2003","2003-2004","2004-2005","2005-2006","2006-2007","2007-2008","2008-2009","2009-2010","2010-2011","2011-2012","2012-2013","2013-2014","2014-2015","2015-2016","2016-2017","2017-2018","2018-2019","2019-2020","2020-2021","2021-2022","2022-2023"],"areas":["total"],"legacy_ids":["apy_rice_yield_t_per_ha","apyts_rice_yield_t_per_ha"],"signed":true,"inferred_only":false,"facts":14851},"rich_pct":{"label":"High Income (> ₹5.45L)","unit":"% of households","definition":"100 * Power_Parity_Above_Rs_545000 / Total_Power_Parity.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"power parity above rs 545000 (Power_Parity_Above_Rs_545000)","denominator":"total power parity (Total_Power_Parity)","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"sc_pct":{"label":"Scheduled Castes","unit":"% of population","definition":"100 * SC / Population, as officially reported by Census 2011.","sensitivity":"sensitive","kind":"rate","polarity":"neutral","numerator":"sc (SC)","denominator":"population (Population)","weight_by":"population","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"scooter_pct":{"label":"Scooter / Motorcycle","unit":"% of households","definition":"100 * Households_with_Scooter_Motorcycle_Moped / households. The denominator is reconstructed from the four disjoint household-size buckets (246,692,667 nationally); the raw file's `Households` column is CENSUS HOUSES (330,835,767) and is not used.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households with scooter motorcycle moped (Households_with_Scooter_Motorcycle_Moped)","denominator":"households","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"sex_ratio":{"label":"Sex Ratio","unit":"females per 1,000 males","definition":"1000 * Female / Male. Site publishes Math.round of this value. State-level values are recomputed from district-sum rollups (counts add, rates recomputed) and may differ from the state-published figure (see gender_ratio).","sensitivity":"public","kind":"ratio","polarity":"neutral","numerator":"tot f (TOT_F)","denominator":"tot m (TOT_M)","weight_by":"population","fmt":"int","subject":"Population","source_ids":[1,53],"periods":["1991","2001","2011"],"areas":["total"],"scale":{"type":"diverging","scheme":"BrBG","domain":[800,950,1100]},"signed":true,"inferred_only":false,"facts":2491},"sex_ratio_at_birth_5yr":{"label":"Sex ratio at birth, births in the last 5 years","unit":"females per 1,000 males","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. 5-year birth-recall window. Never compare to the census child sex ratio (0-6), different construct.","sensitivity":"sensitive","kind":"ratio","polarity":"neutral","numerator":"sex ratio at birth, births in the last 5 years","denominator":"male population (per 1,000)","weight_by":"population","fmt":"int","subject":"Population","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"sex_ratio_total_survey":{"label":"Sex ratio of the surveyed household population","unit":"females per 1,000 males","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Survey household population, small n. NOT comparable to the census 2011 sex ratio on the site (different universe and precision); if both shown, label sources loudly.","sensitivity":"public","kind":"ratio","polarity":"neutral","numerator":"sex ratio of the surveyed household population","denominator":"male population (per 1,000)","weight_by":"population","fmt":"int","subject":"Population","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"solid_food_6_8m_pct":{"label":"Children 6-8 months receiving solid/semi-solid food and breastmilk","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 16; 3-month age band, very small n, the most-suppressed indicator in the file.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 6-8 months receiving solid/semi-solid food and breastmilk","denominator":"children 6-8 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"st_pct":{"label":"Scheduled Tribes","unit":"% of population","definition":"100 * ST / Population, as officially reported by Census 2011.","sensitivity":"sensitive","kind":"rate","polarity":"neutral","numerator":"st (ST)","denominator":"population (Population)","weight_by":"population","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"tapwater_pct":{"label":"Tap Water","unit":"% of households","definition":"100 * Main_source_of_drinking_water_Tapwater_Households / households. The denominator is reconstructed from the four disjoint household-size buckets (246,692,667 nationally); the raw file's `Households` column is CENSUS HOUSES (330,835,767) and is not used.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"main source of drinking water tapwater households (Main_source_of_drinking_water_Tapwater_Households)","denominator":"households","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"tv_pct":{"label":"Television","unit":"% of households","definition":"100 * Households_with_Television / households. The denominator is reconstructed from the four disjoint household-size buckets (246,692,667 nationally); the raw file's `Households` column is CENSUS HOUSES (330,835,767) and is not used.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"households with television (Households_with_Television)","denominator":"households","weight_by":"households","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"udyam_msme_registered":{"label":"MSMEs registered on the Udyam portal (open-data extract)","unit":"enterprises","definition":"Administrative register of the Udyam Registration portal (Ministry of Micro, Small and Medium Enterprises), read from the data.gov.in open-data extract as an AS-OF SNAPSHOT taken on 2026-08-04: one row per registered enterprise, aggregated by us to the district of the enterprise's own registered address. Registration is SELF-DECLARED and free, and since 2021 it is required to access most MSME schemes, so a rise here is a rise in registrations and not necessarily a rise in enterprises. The count is of DISTINCT registration certificates in the extract: 6.60% of the extract's rows repeat another row of the same district exactly (same pincode, date, name, address and activity list) and are counted once, because the repeats are an artefact of the pull's offset paging (99.9% of duplicate groups span more than one page) and the scheme allows an enterprise only one registration. IT IS A LOWER BOUND, NOT THE REGISTER'S SIZE: the extract carries no rows at all for 75 calendar days of 2024 and 106 of 2025, so every enterprise that registered on one of those days is missing from this count, and it must never be quoted against the ministry's own published registration totals. It is a STOCK observed once and cannot be reconstructed by adding the yearly registration counts. It counts REGISTRATIONS, not enterprises in existence, India's unregistered informal enterprises, which every survey puts in the tens of millions, are invisible here by construction.","sensitivity":"public","kind":"count","polarity":"neutral","numerator":"registered enterprises","fmt":"int","subject":"Enterprise","source_ids":[43],"periods":["2026-08-04"],"areas":["total"],"signed":true,"inferred_only":false,"facts":788},"udyam_msme_registrations":{"label":"New Udyam MSME registrations in the year","unit":"enterprises","definition":"Administrative register of the Udyam Registration portal (Ministry of Micro, Small and Medium Enterprises), read from the data.gov.in open-data extract as an AS-OF SNAPSHOT taken on 2026-08-04: one row per registered enterprise, aggregated by us to the district of the enterprise's own registered address. Registration is SELF-DECLARED and free, and since 2021 it is required to access most MSME schemes, so a rise here is a rise in registrations and not necessarily a rise in enterprises. The count is of DISTINCT registration certificates in the extract: 6.60% of the extract's rows repeat another row of the same district exactly (same pincode, date, name, address and activity list) and are counted once, because the repeats are an artefact of the pull's offset paging (99.9% of duplicate groups span more than one page) and the scheme allows an enterprise only one registration. Certificates whose registration date falls in the named CALENDAR year. PUBLISHED ONLY FOR THE YEARS THE EXTRACT COVERS: a year appears only if the corpus holds rows for at least 98% of that year's days across the whole of India, which admits 2020-2023 (2, 3, 7 and 0 missing days) and refuses 2024 (75 missing days) and 2025 (106), a chart of those two years shows a collapse that is an artefact of the extract and not a fall in registration. The snapshot's own year is never published. Two consequences of reading a live register are part of the definition: registrations later cancelled are missing from their own year, so an older year's count is a survivor count and drifts DOWNWARD with every re-pull; and the portal opened on 1 July 2020, so 2020 is a calendar year in which the scheme existed for six months.","sensitivity":"public","kind":"count","polarity":"neutral","numerator":"registered enterprises","fmt":"int","subject":"Enterprise","source_ids":[43],"periods":["2020","2021","2022","2023"],"areas":["total"],"signed":true,"inferred_only":false,"facts":2987},"urban_pct":{"label":"Urban share of population","unit":"% of population","definition":"100 * urban population / total population, from the Census 2011 Primary Census Abstract's own Urban and Total rows for the district (ing.census2011_pca, TOT_P). This is the census's published urban share of population, India 31.14%, Goa 62.17%. It replaced 100 * Urban_Households / Households on 2026-09-01, which was the urban share of CENSUS HOUSES (330,835,767 structures, not 246,692,667 households) shipped under a '% of households' label. State values are the district sums of the same two counts, recomputed.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"pca urban tot p (PCA_Urban_TOT_P)","denominator":"pca total tot p (PCA_Total_TOT_P)","weight_by":"population","fmt":"pct","subject":"Population","source_ids":[1],"periods":["2011"],"areas":["total"],"signed":true,"inferred_only":false,"facts":640},"vacc_bcg_12_23m_pct":{"label":"Children 12-23 months who received BCG","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Received BCG at any time before the survey.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 12-23 months who received bcg","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"vacc_dpt3_12_23m_pct":{"label":"Children 12-23 months who received 3 doses of DPT vaccine","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Three doses of DPT specifically; pentavalent doses do not count.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 12-23 months who received 3 doses of dpt vaccine","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"vacc_full_bcg_measles_polio3_dpt3_12_23m_pct":{"label":"Children 12-23 months fully immunized on the BCG/measles/polio3/DPT3 schedule","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Fully immunized means BCG, measles, and 3 doses each of polio and DPT. Pentavalent is not part of this criterion.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 12-23 months fully immunized (BCG, measles, polio3, DPT3)","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"vacc_full_card_only_12_23m_pct":{"label":"Children 12-23 months fully vaccinated (among children whose card was shown)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 12: among children whose vaccination card was shown, a self-selected subset; different denominator from the card-or-recall indicator.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 12-23 months fully vaccinated (among children whose card was shown)","denominator":"children 12-23 months fully vaccinated (among children","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"vacc_full_card_or_recall_12_23m_pct":{"label":"Children 12-23 months fully vaccinated (card or recall)","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 11: BCG + measles-containing + 3 polio (excl. birth dose) + 3 DPT-or-penta. NFHS-4 defined without penta; pair printable with a penta footnote.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 12-23 months fully vaccinated (card or recall)","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"vacc_hepb3_12_23m_pct":{"label":"Children 12-23 months who received 3 doses of hepatitis B vaccine","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Three doses of hepatitis B vaccine specifically; pentavalent doses do not count.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 12-23 months who received 3 doses of hepatitis b vaccine","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"vacc_mcv1_12_23m_pct":{"label":"Children 12-23 months who received a first dose of measles-containing vaccine","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. MCV/MR/MMR/Measles all count. Low-n block.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 12-23 months who received a first dose of measles-containing vaccine","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"vacc_mcv2_24_35m_pct":{"label":"Children 24-35 months who received a second measles-containing dose","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Different age band (24-35m). New in NFHS-5; NFHS-4 na. Low-n block.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 24-35 months who received a second measles-containing dose","denominator":"children 24-35 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"vacc_measles_12_23m_pct":{"label":"Children 12-23 months who received measles vaccine","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Measles vaccine specifically, not the wider measles-containing-vaccine criterion.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 12-23 months who received measles vaccine","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"vacc_mostly_private_12_23m_pct":{"label":"Children 12-23 months receiving most vaccinations in a PRIVATE facility","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Pairs with the public-facility share. Low-n block.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"children 12-23 months receiving most vaccinations in a private facility","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"vacc_mostly_public_12_23m_pct":{"label":"Children 12-23 months receiving most vaccinations in a PUBLIC facility","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Pairs with the private-facility share (~100 together); show as a pair. Low-n block.","sensitivity":"public","kind":"rate","polarity":"neutral","numerator":"children 12-23 months receiving most vaccinations in a public facility","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"vacc_penta_dpt3_12_23m_pct":{"label":"Children 12-23 months who received 3 doses of penta or DPT vaccine","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. NFHS-4 column was DPT-only; mild definitional drift. Low-n block.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 12-23 months who received 3 doses of penta or dpt vaccine","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"vacc_penta_hepb3_12_23m_pct":{"label":"Children 12-23 months who received 3 doses of penta or hepatitis B vaccine","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. NFHS-4 column was hep B without penta framing. Low-n block.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 12-23 months who received 3 doses of penta or hepatitis b vaccine","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"vacc_polio3_12_23m_pct":{"label":"Children 12-23 months who received 3 doses of polio vaccine","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 13: excludes the birth dose. Low-n block.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 12-23 months who received 3 doses of polio vaccine","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"vacc_rotavirus3_12_23m_pct":{"label":"Children 12-23 months who received 3 doses of rotavirus vaccine","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 14 (official): rotavirus was not provided across all states and districts at survey time, and the footnote states that 'the levels should not be compared'. A low value can mean the programme had not reached that place, not that coverage failed. New in NFHS-5.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children 12-23 months who received 3 doses of rotavirus vaccine","denominator":"children 12-23 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"vitamin_a_9_35m_pct":{"label":"Children age 9-35 months who received a vitamin A dose in the last 6 months","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Age band 9-35 months. NFHS-5 first-release Phase-I documents printed this indicator as 9-59 months on a different computation; those figures are a different series and are not comparable to this one.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children age 9-35 months who received a vitamin a dose in the last 6 months","denominator":"children age 9-35 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"vitamin_a_9_59m_nfhs4_pct":{"label":"Children age 9-59 months who received a vitamin A dose in the last 6 months","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Age band 9-59 months, the NFHS-4 factsheet's own basis.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"children age 9-59 months who received a vitamin a dose in the last 6 months","denominator":"children age 9-59 months","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"wheat_yield_t_per_ha":{"label":"Wheat yield per hectare sown","unit":"tonnes per hectare","definition":"APY administrative crop statistics (Directorate of Economics & Statistics, DA&FW), compiled from state reporting, an estimate of record, not a sample survey and not a satellite measurement. Aggregated from the source's crop x season rows for the district, excluding its 'Total' subtotal rows. Total wheat production divided by total wheat area for the district, a production-weighted yield, not a mean of published per-row yields. Defined only where the district reports wheat area and production; absent otherwise, never zero.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"total wheat production","denominator":"total wheat area for the district","weight_by":"gross_cropped_area_ha","fmt":"ratio","subject":"Farming","source_ids":[35],"periods":["1997-1998","1998-1999","1999-2000","2000-2001","2001-2002","2002-2003","2003-2004","2004-2005","2005-2006","2006-2007","2007-2008","2008-2009","2009-2010","2010-2011","2011-2012","2012-2013","2013-2014","2014-2015","2015-2016","2016-2017","2017-2018","2018-2019","2019-2020","2020-2021","2021-2022","2022-2023"],"areas":["total"],"legacy_ids":["apy_wheat_yield_t_per_ha","apyts_wheat_yield_t_per_ha"],"signed":true,"inferred_only":false,"facts":12552},"women_15_19_mothers_pregnant_pct":{"label":"Women age 15-19 already mothers or pregnant at survey","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. Teenage childbearing at time of survey.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"women 15-19 already mothers or pregnant","denominator":"women 15-19","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3,34],"periods":["2015-16","2019-21"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":2136},"women_15_24_hygienic_menstrual_pct":{"label":"Women age 15-24 using hygienic methods of menstrual protection","unit":"percent","definition":"NFHS-5 survey estimate (2019-21 fieldwork, phase-split: phase-1 units surveyed 2019-20, phase-2 units 2019-21), never a count or enumeration. fn 5: locally prepared napkins, sanitary napkins, tampons, menstrual cups. Age 15-24 only.","sensitivity":"public","kind":"rate","polarity":"higher_is_better","numerator":"women 15-24 using hygienic methods of menstrual protection","denominator":"women 15-24","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[3],"periods":["2019-21"],"areas":["total"],"signed":true,"inferred_only":false,"facts":706},"women_15_49_bp_moderately_high_pct":{"label":"Women 15-49 with moderately high blood pressure (160-179/100-109)","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Systolic 160-179 mm Hg and/or diastolic 100-109 mm Hg among women age 15-49. An elevated reading band, not a diagnosis.","sensitivity":"public","kind":"rate","polarity":"lower_is_better","numerator":"women 15-49 with moderately high blood pressure (160-179/100-109)","denominator":"women 15-49","weight_by":"population","fmt":"pct","subject":"Health & nutrition","source_ids":[34],"periods":["2015-16"],"areas":["rural","total","urban"],"signed":true,"inferred_only":false,"facts":1430},"women_15_49_bp_slightly_high_pct":{"label":"Women 15-49 with slightly above normal blood pressure (140-159/90-99)","unit":"percent","definition":"NFHS-4 (2015-16) factsheet construct, a survey estimate and never a count. Systolic 140-159 mm Hg and/or diastolic 90-99 mm Hg among women age 15-49. 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So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"no_ranking","severity":"block","message":"Excluded from cross-district rankings and best/worst copy: the base is too small to separate districts.","reader_note":null,"source_id":34},{"kind":"no_ranking","severity":"block","message":"Excluded from cross-district rankings and best/worst copy: the base is too small to separate districts.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"no_cross_place","severity":"block","message":"Two-week recall of a seasonal illness. Districts surveyed in different months are being compared on season as much as on health.","reader_note":null,"source_id":34},{"kind":"no_ranking","severity":"block","message":"2-week recall and seasonal: districts were surveyed in different months, so a ranking would partly rank seasons.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"never_compare_to","severity":"warn","message":"Annualised growth since THE PREVIOUS CENSUS THAT HAS A FIGURE FOR THAT DISTRICT, which is usually ten years earlier and is twenty for Assam in 1991, Jammu & Kashmir in 2001 and Senapati in 2011, where no census was taken in between. Every cell is per year, which is why it is annualised rather than published as a decadal change, but a twenty-year annualised rate is a smoother number than a ten-year one and the two sit in the same colour ramp. Never read as a decadal change: that is roughly ten times larger.","reader_note":"Growth per year since the last census that counted this district, which is twenty years rather than ten where a census was missed. It is not a ten year change.","source_id":52},{"kind":"no_ranking","severity":"warn","message":"The fastest-growing district by this measure is normally a small one, because a growth rate over a small base moves on a few thousand people while a large district cannot. It is also frequently a district whose 2011 territory gained a city rather than one whose people had more children. Rank it only with the base population beside it.","reader_note":"The fastest growing district is usually a small one, or one whose territory gained a city. Rank it only with the base population beside it.","source_id":52}],[{"kind":"never_compare_to","severity":"note","message":"Every census from 1901 is restated by the Registrar General onto the districts as they stood in 2011. A figure before a district was created is the population of the TERRITORY it now covers, not of a district by that name, so this series tracks places and never administrative units. It must not be set against a figure published in its own census year on that year's boundaries: the two count different ground.","reader_note":"Every census back to 1901 is restated onto the districts as they stood in 2011, so an early figure counts the ground the district now covers, not a district of that name.","source_id":52},{"kind":"no_cross_place","severity":"note","message":"An absolute head count, not a density and not a rate. The darkest districts on this map are the largest and most crowded ones, so it is a map of where people are before it is a map of anything else. For growth rather than size, read census_pop_cagr_pct, which is normalised.","reader_note":"A head count, not a density. The darkest districts are the biggest and most crowded ones, so this is a map of where people are. For growth, read the annual growth rate.","source_id":52},{"kind":"not_published_at_grain","severity":"note","message":"A district with no figure in a census year was NOT ENUMERATED, which is not zero and is not missing data. The census was not conducted in Assam in 1981, was cancelled in Jammu & Kashmir in 1991, and had the results of three Senapati sub-divisions cancelled in 2001. Goa and Daman & Diu were Portuguese until 1961 and Puducherry French until 1954, so no Indian census counted them earlier; Arunachal, Mizoram and Nagaland were not enumerated in the early censuses; Sikkim was a separate kingdom until 1975. 1971 and 2011 are the only complete years.","reader_note":"A blank year means no census was taken there. That is not a zero and not a gap in our data: only 1971 and 2011 counted every district.","source_id":52}],[{"kind":"never_compare_to","severity":"note","message":"Females per 1,000 males, the census's own convention and never the inverse used by some international sources. Restated onto 2011 district boundaries in every year, like the population it is computed from.","reader_note":"Females per 1,000 males, the census's own way round, on 2011 district boundaries in every year.","source_id":52}],[{"kind":"low_base","severity":"warn","message":"A share of what the district's return ITEMISES. Where the return is thin the share is about the paperwork, not the fields: Anantnag's 2022-23 return lists three crops and none is a cereal, which would read as 'grows no cereals' and is false. Read beside crops_reported_n; the site withholds these shares below five crops reported.","reader_note":"A share of the crop area the district's return itemises, not of output or income. Where the return lists few crops it describes the paperwork, not the fields.","source_id":35},{"kind":"never_compare_to","severity":"warn","message":"A share of AREA. It is not a share of output, of farmer income, or of what the district eats, and the three shares do not sum to 100, vegetables, spices, fibre, sugar, fruit and plantation crops make up the rest.","reader_note":"A share of crop area, not of output, income or what the district eats. The three shares do not sum to 100; vegetables, fruit, fibre and sugar make up the rest.","source_id":35},{"kind":"provisional","severity":"warn","message":"Administrative estimate compiled from state reporting, not a survey and not a measurement. States revise APY figures for several years after first publication, and 2022-23 is the most recent year and therefore the least settled. Coverage is 736 of 783 districts; a district with no crop reporting has NO figure, never a zero.","reader_note":"An administrative estimate from state reporting, revised for years afterwards. It covers 736 of 783 districts, and a district that reported nothing has no figure, not a zero.","source_id":35}],[{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"low_base","severity":"warn","message":"A survey estimate, not a count: this figure rests on roughly 250-350 children measured per district. Differences smaller than about 11 percentage points between two districts are inside the sampling error and should not be read as real.","reader_note":"A survey estimate, not a count: it rests on roughly 250-350 children measured per district, so a gap under about 11 points between two districts is inside the sampling error.","source_id":3},{"kind":"no_ranking","severity":"block","message":"No 'highest' or 'lowest district in India' claim on this indicator. NFHS-5 district estimates rest on roughly 250-350 children measured per district, and on the 2019-21 data the top two districts are 1.62 points apart -- well inside the survey's own margin of error, so which one is first is not something this survey can tell us. Comparing districts that are far apart is a separate question and is permitted.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"no_ranking","severity":"block","message":"Excluded from cross-district rankings and best/worst copy: the base is too small to separate districts.","reader_note":null,"source_id":3},{"kind":"no_ranking","severity":"block","message":"Excluded from cross-district rankings and best/worst copy: the base is too small to separate districts.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"no_ranking","severity":"block","message":"This counts REPORTING DEPTH, not agricultural diversity. A 'most diverse district' ranking over it would be a ranking of which state's statistical office itemises hardest.","reader_note":null,"source_id":35},{"kind":"provisional","severity":"warn","message":"Administrative estimate compiled from state reporting, not a survey and not a measurement. States revise APY figures for several years after first publication, and 2022-23 is the most recent year and therefore the least settled. Coverage is 736 of 783 districts; a district with no crop reporting has NO figure, never a zero.","reader_note":"An administrative estimate from state reporting, revised for years afterwards. It covers 736 of 783 districts, and a district that reported nothing has no figure, not a zero.","source_id":35}],[{"kind":"low_base","severity":"warn","message":"A survey estimate, not a count: this figure rests on roughly 300 births per district. Differences smaller than about 9 percentage points between two districts are inside the sampling error and should not be read as real.","reader_note":"A survey estimate, not a count: it rests on roughly 300 births per district, so a gap under about 9 points between two districts is inside the sampling error.","source_id":3},{"kind":"no_ranking","severity":"block","message":"No 'highest' or 'lowest district in India' claim on this indicator. NFHS-5 district estimates rest on roughly 300 births per district, and on the 2019-21 data the top two districts are 3.27 points apart -- well inside the survey's own margin of error, so which one is first is not something this survey can tell us. Comparing districts that are far apart is a separate question and is permitted.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"no_ranking","severity":"block","message":"Excluded from cross-district rankings and best/worst copy: the base is too small to separate districts.","reader_note":null,"source_id":3},{"kind":"no_ranking","severity":"block","message":"Excluded from cross-district rankings and best/worst copy: the base is too small to separate districts.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"low_base","severity":"warn","message":"The denominator is a small subgroup, so this is widely flagged or suppressed at district level.","reader_note":"The denominator is a small subgroup, so the survey flags or withholds this figure in many districts.","source_id":3},{"kind":"no_ranking","severity":"block","message":"2-week recall and seasonal: districts were surveyed in different months, so a ranking would partly rank seasons.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"low_base","severity":"block","message":"Denominator is children who had the condition, or a three-month age band: often a few dozen cases per district.","reader_note":null,"source_id":34},{"kind":"never_compare_to","severity":"block","message":"CRITERION DIFFERS: NFHS-5 counts a health facility OR a health provider, a wider criterion. Never compare with diarrhoea_care_sought_2wk_pct.","reader_note":null,"source_id":34},{"kind":"no_cross_place","severity":"block","message":"Two-week recall of a seasonal illness. Districts surveyed in different months are being compared on season as much as on health.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"block","message":"Denominator is children who had the condition, or a three-month age band: often a few dozen cases per district.","reader_note":null,"source_id":34},{"kind":"low_base","severity":"warn","message":"The denominator is a small subgroup, so this is widely flagged or suppressed at district level.","reader_note":"The denominator is a small subgroup, so the survey flags or withholds this figure in many districts.","source_id":3},{"kind":"no_cross_place","severity":"block","message":"Two-week recall of a seasonal illness. Districts surveyed in different months are being compared on season as much as on health.","reader_note":null,"source_id":34},{"kind":"no_ranking","severity":"block","message":"2-week recall and seasonal: districts were surveyed in different months, so a ranking would partly rank seasons.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"no_cross_place","severity":"block","message":"Two-week recall of a seasonal illness. Districts surveyed in different months are being compared on season as much as on health.","reader_note":null,"source_id":34},{"kind":"no_ranking","severity":"block","message":"2-week recall and seasonal: districts were surveyed in different months, so a ranking would partly rank seasons.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"block","message":"Denominator is children who had the condition, or a three-month age band: often a few dozen cases per district.","reader_note":null,"source_id":34},{"kind":"low_base","severity":"warn","message":"The denominator is a small subgroup, so this is widely flagged or suppressed at district level.","reader_note":"The denominator is a small subgroup, so the survey flags or withholds this figure in many districts.","source_id":3},{"kind":"no_cross_place","severity":"block","message":"Two-week recall of a seasonal illness. Districts surveyed in different months are being compared on season as much as on health.","reader_note":null,"source_id":34},{"kind":"no_ranking","severity":"block","message":"2-week recall and seasonal: districts were surveyed in different months, so a ranking would partly rank seasons.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"warn","message":"Literate share of population: literates as a share of the total population, all ages included. The official Census literacy rate divides by population aged 7 and above, so it is higher, e.g. Malappuram: 80.5% here vs 93.55% official. The female figure on this page has the same denominator, literate females as a share of all females of every age, and is likewise lower than the official rate, by between 4.7 and 17.4 points depending on the district's own age structure.","reader_note":"Literates as a share of everyone, infants included. The official census rate counts only people aged 7 and over, so it runs higher: Malappuram is 80.5% here and 93.55% officially.","source_id":1},{"kind":"never_compare_to","severity":"warn","message":"A census village is wholly rural by the census's own definition, so every statistic in this layer describes the DISTRICT'S RURAL HALF and nothing else. Never read it against the district's own Census 2011 row as if the two were the same measurement: that row is the whole district, town population included. Nor is the urban half derivable by subtraction here: the exporter attempts the complement on every run, publishes it for no district, and prints per district what it found and why in meta.urbanInference. A percentage is never subtracted from a percentage.","reader_note":"Villages are rural, so this describes only the rural half of the district. It is not comparable with the district's own census figure, which counts towns too.","source_id":40},{"kind":"provisional","severity":"warn","message":"Village rows do not roll up to the district figure. 3,441 of the census's 640,932 village codes carry no usable LGD key and are quarantined (ing.census2011_pca_village_xwalk: 17 (Part) splits, 42 ambiguous, 3,382 orphans), and the census's 2011 village set is not LGD's 2026 one, so a sum over villages is short by a margin that is NOT randomly distributed. Use the district PCA row for a district figure; never add these up to make one.","reader_note":"Village rows do not add up to a district figure. Some village codes cannot be matched and are held back, so a sum over villages is short. Use the district's own row.","source_id":40}],[{"kind":"never_compare_to","severity":"warn","message":"A census village is wholly rural by the census's own definition, so every statistic in this layer describes the DISTRICT'S RURAL HALF and nothing else. Never read it against the district's own Census 2011 row as if the two were the same measurement: that row is the whole district, town population included. Nor is the urban half derivable by subtraction here: the exporter attempts the complement on every run, publishes it for no district, and prints per district what it found and why in meta.urbanInference. A percentage is never subtracted from a percentage.","reader_note":"Villages are rural, so this describes only the rural half of the district. It is not comparable with the district's own census figure, which counts towns too.","source_id":40},{"kind":"provisional","severity":"warn","message":"Village rows do not roll up to the district figure. 3,441 of the census's 640,932 village codes carry no usable LGD key and are quarantined (ing.census2011_pca_village_xwalk: 17 (Part) splits, 42 ambiguous, 3,382 orphans), and the census's 2011 village set is not LGD's 2026 one, so a sum over villages is short by a margin that is NOT randomly distributed. Use the district PCA row for a district figure; never add these up to make one.","reader_note":"Village rows do not add up to a district figure. Some village codes cannot be matched and are held back, so a sum over villages is short. Use the district's own row.","source_id":40}],[{"kind":"low_base","severity":"block","message":"Denominator is children who had the condition, or a three-month age band: often a few dozen cases per district.","reader_note":null,"source_id":34},{"kind":"never_compare_to","severity":"block","message":"CRITERION DIFFERS: NFHS-5 counts a health facility OR a health provider. Never compare with fever_ari_care_sought_2wk_pct.","reader_note":null,"source_id":34},{"kind":"no_cross_place","severity":"block","message":"Two-week recall of a seasonal illness. Districts surveyed in different months are being compared on season as much as on health.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"block","message":"No NFHS-5 counterpart at any grain: the composite was dropped in NFHS-5. NFHS-4-only series; not a component-wise sum of anc_4plus_visits_pct and ifa_100days_pct and must never be charted as one.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"warn","message":"Never compare with, or express as a share of, a district's LAND area. This counts a double-cropped field twice, so the ratio is not 'percent of the district under crops' and can legitimately exceed 100%.","reader_note":"Counts a double-cropped field twice, so it is not the share of the district under crops and can legitimately exceed the district's land area.","source_id":35},{"kind":"provisional","severity":"warn","message":"Administrative estimate compiled from state reporting, not a survey and not a measurement. States revise APY figures for several years after first publication, and 2022-23 is the most recent year and therefore the least settled. Coverage is 736 of 783 districts; a district with no crop reporting has NO figure, never a zero.","reader_note":"An administrative estimate from state reporting, revised for years afterwards. It covers 736 of 783 districts, and a district that reported nothing has no figure, not a zero.","source_id":35}],[{"kind":"low_base","severity":"warn","message":"A survey estimate, not a count: this figure rests on roughly 900 households per district. Differences smaller than about 6 percentage points between two districts are inside the sampling error and should not be read as real.","reader_note":"A survey estimate, not a count: it rests on roughly 900 households per district, so a gap under about 6 points between two districts is inside the sampling error.","source_id":3},{"kind":"no_ranking","severity":"block","message":"No 'highest' or 'lowest district in India' claim on this indicator. NFHS-5 district estimates rest on roughly 900 households per district, and on the 2019-21 data the top two districts are 0.06 points apart -- well inside the survey's own margin of error, so which one is first is not something this survey can tell us. Comparing districts that are far apart is a separate question and is permitted.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"never_compare_to","severity":"block","message":"DENOMINATOR DIFFERS: households (NFHS-4) vs population living in households (NFHS-5). Never compare with, or trend against, pop_hh_electricity_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"A survey estimate, not a count: this figure rests on roughly 900 households per district. Differences smaller than about 6 percentage points between two districts are inside the sampling error and should not be read as real.","reader_note":"A survey estimate, not a count: it rests on roughly 900 households per district, so a gap under about 6 points between two districts is inside the sampling error.","source_id":3},{"kind":"never_compare_to","severity":"warn","message":"The NFHS-5 factsheet prints its own caveat on this indicator: Ayushman Bharat PM-JAY was not fully rolled out when the survey was in the field, and coverage under it 'may not have been factored' in. Treat this as coverage as of 2019-21, and never as a current enrolment figure or a scorecard for the scheme.","reader_note":"Coverage as the survey found it in 2019-21, before Ayushman Bharat PM-JAY was fully rolled out. It is not a current enrolment figure.","source_id":3},{"kind":"no_ranking","severity":"block","message":"No 'highest' or 'lowest district in India' claim on this indicator. NFHS-5 district estimates rest on roughly 900 households per district, and on the 2019-21 data the top two districts are 0.26 points apart -- well inside the survey's own margin of error, so which one is first is not something this survey can tell us. Comparing districts that are far apart is a separate question and is permitted.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"block","message":"DENOMINATOR DIFFERS: households (NFHS-4) vs population living in households (NFHS-5). Never compare with pop_hh_improved_sanitation_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"block","message":"DENOMINATOR DIFFERS (households vs population) and the improved-source list was widened in NFHS-5. Never compare with pop_hh_improved_water_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"block","message":"No NFHS-5 counterpart at any grain: JSY receipt was dropped from the NFHS-5 factsheet. NFHS-4-only series.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"warn","message":"Literate share of population: literates as a share of the total population, all ages included. The official Census literacy rate divides by population aged 7 and above, so it is higher, e.g. Malappuram: 80.5% here vs 93.55% official. The female figure on this page has the same denominator, literate females as a share of all females of every age, and is likewise lower than the official rate, by between 4.7 and 17.4 points depending on the district's own age structure.","reader_note":"Literates as a share of everyone, infants included. The official census rate counts only people aged 7 and over, so it runs higher: Malappuram is 80.5% here and 93.55% officially.","source_id":1}],[{"kind":"never_compare_to","severity":"warn","message":"A census village is wholly rural by the census's own definition, so every statistic in this layer describes the DISTRICT'S RURAL HALF and nothing else. Never read it against the district's own Census 2011 row as if the two were the same measurement: that row is the whole district, town population included. Nor is the urban half derivable by subtraction here: the exporter attempts the complement on every run, publishes it for no district, and prints per district what it found and why in meta.urbanInference. A percentage is never subtracted from a percentage.","reader_note":"Villages are rural, so this describes only the rural half of the district. It is not comparable with the district's own census figure, which counts towns too.","source_id":40},{"kind":"never_compare_to","severity":"warn","message":"Literate share of population: literates as a share of the total population, all ages included. The official Census literacy rate divides by population aged 7 and above, so it is higher, e.g. Malappuram: 80.5% here vs 93.55% official. The female figure on this page has the same denominator, literate females as a share of all females of every age, and is likewise lower than the official rate, by between 4.7 and 17.4 points depending on the district's own age structure.","reader_note":"Literates as a share of everyone, infants included. The official census rate counts only people aged 7 and over, so it runs higher: Malappuram is 80.5% here and 93.55% officially.","source_id":1},{"kind":"provisional","severity":"warn","message":"Village rows do not roll up to the district figure. 3,441 of the census's 640,932 village codes carry no usable LGD key and are quarantined (ing.census2011_pca_village_xwalk: 17 (Part) splits, 42 ambiguous, 3,382 orphans), and the census's 2011 village set is not LGD's 2026 one, so a sum over villages is short by a margin that is NOT randomly distributed. Use the district PCA row for a district figure; never add these up to make one.","reader_note":"Village rows do not add up to a district figure. Some village codes cannot be matched and are held back, so a sum over villages is short. Use the district's own row.","source_id":40}],[{"kind":"low_base","severity":"warn","message":"Rests on the men's subsample, roughly 150-300 interviews per district.","reader_note":"Rests on the men's part of the sample, roughly 150 to 300 interviews per district.","source_id":34},{"kind":"never_compare_to","severity":"block","message":"AGE BAND AND BANDING DIFFER: NFHS-5 collapses moderate and severe into one row for men 15+. Never compare with men_bp_moderate_severe_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"Rests on the men's subsample, roughly 150-300 interviews per district.","reader_note":"Rests on the men's part of the sample, roughly 150 to 300 interviews per district.","source_id":34},{"kind":"never_compare_to","severity":"block","message":"AGE BAND DIFFERS: men 15-49 here vs men 15+ in NFHS-5. Never compare with men_bp_mild_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"Rests on the men's subsample, roughly 150-300 interviews per district.","reader_note":"Rests on the men's part of the sample, roughly 150 to 300 interviews per district.","source_id":34},{"kind":"never_compare_to","severity":"block","message":"AGE BAND AND BANDING DIFFER: NFHS-5 has no separate very-high row. Never compare with men_bp_moderate_severe_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"Rests on the men's subsample, roughly 150-300 interviews per district.","reader_note":"Rests on the men's part of the sample, roughly 150 to 300 interviews per district.","source_id":34},{"kind":"never_compare_to","severity":"block","message":"AGE BAND AND THRESHOLD DIFFER: men 15-49 and a >140 open-ended cut-off here, vs men 15+ and a 141-160 band in NFHS-5. Never compare with men_glucose_high_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"Rests on the men's subsample, roughly 150-300 interviews per district.","reader_note":"Rests on the men's part of the sample, roughly 150 to 300 interviews per district.","source_id":34},{"kind":"never_compare_to","severity":"block","message":"AGE BAND DIFFERS: men 15-49 here vs men 15+ in NFHS-5. Never compare with men_glucose_very_high_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"Rests on the men's subsample, roughly 150-300 interviews per district.","reader_note":"Rests on the men's part of the sample, roughly 150 to 300 interviews per district.","source_id":34},{"kind":"never_compare_to","severity":"block","message":"Literacy definition changed between rounds (same reason as #12); and NFHS-5 publishes men's literacy at state grain only. Never compare with men_15_49_literate_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"Rests on the men's subsample, roughly 150-300 interviews per district.","reader_note":"Rests on the men's part of the sample, roughly 150 to 300 interviews per district.","source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"no_cross_grain","severity":"block","message":"Published at district grain only. There is no state or national row in this source, and summing districts would silently omit every district the crosswalk parks.","reader_note":null,"source_id":41},{"kind":"no_cross_place","severity":"warn","message":"The notified MGNREGA wage rate is set per state, so most of the variation between districts in different states is the notification, not local labour markets.","reader_note":"The wage rate is notified per state, so most of the difference between districts in different states is the notification, not the local labour market.","source_id":41},{"kind":"provisional","severity":"warn","message":"Financial-year-to-date administrative figure from a live scheme database, not a survey and not a closed account. The API republishes the same district-month under successive unversioned revisions (18,414 of 69,408 district-months in the corpus carry more than one, up to 31), and we take the most complete revision, so a figure may rise when the source is pulled again. The current financial year is the least settled of all.","reader_note":"A running figure from the scheme's live database, counted from 1 April. It is revised as the year goes on, and the current year is the least settled.","source_id":41}],[{"kind":"never_compare_to","severity":"warn","message":"Never read a mid-year figure against the 100-day entitlement: the year is not over. Only the March figure is a full-year average, and even then the denominator is households that worked, not households that wanted work.","reader_note":"Do not read a mid-year figure against the 100 day entitlement: the year is not over, and the denominator is households that worked, not those that wanted work.","source_id":41},{"kind":"no_cross_grain","severity":"block","message":"Published at district grain only. There is no state or national row in this source, and summing districts would silently omit every district the crosswalk parks.","reader_note":null,"source_id":41},{"kind":"provisional","severity":"warn","message":"Financial-year-to-date administrative figure from a live scheme database, not a survey and not a closed account. The API republishes the same district-month under successive unversioned revisions (18,414 of 69,408 district-months in the corpus carry more than one, up to 31), and we take the most complete revision, so a figure may rise when the source is pulled again. The current financial year is the least settled of all.","reader_note":"A running figure from the scheme's live database, counted from 1 April. It is revised as the year goes on, and the current year is the least settled.","source_id":41}],[{"kind":"no_cross_grain","severity":"block","message":"Published at district grain only. There is no state or national row in this source, and summing districts would silently omit every district the crosswalk parks.","reader_note":null,"source_id":41},{"kind":"no_cross_place","severity":"warn","message":"A count of households, driven mostly by how rural and how populous the district is. Rankable as a volume; it says nothing about how well the scheme is run until it is put over a denominator this source does not carry.","reader_note":"A count of households, driven mostly by how rural and how populous the district is. It says nothing about how well the scheme is run.","source_id":41},{"kind":"provisional","severity":"warn","message":"Financial-year-to-date administrative figure from a live scheme database, not a survey and not a closed account. The API republishes the same district-month under successive unversioned revisions (18,414 of 69,408 district-months in the corpus carry more than one, up to 31), and we take the most complete revision, so a figure may rise when the source is pulled again. The current financial year is the least settled of all.","reader_note":"A running figure from the scheme's live database, counted from 1 April. It is revised as the year goes on, and the current year is the least settled.","source_id":41}],[{"kind":"never_compare_to","severity":"warn","message":"Cumulative from 1 April. Comparing a month of one financial year with a different month of another compares different lengths of year; only like months compare. A month-on-month rise is not that month's work: it is the difference, and the difference is a derivation this source does not publish.","reader_note":"Counted from 1 April, so only the same month of two years compares. The rise from one month to the next is not that month's work.","source_id":41},{"kind":"no_cross_grain","severity":"block","message":"Published at district grain only. There is no state or national row in this source, and summing districts would silently omit every district the crosswalk parks.","reader_note":null,"source_id":41},{"kind":"provisional","severity":"warn","message":"Financial-year-to-date administrative figure from a live scheme database, not a survey and not a closed account. The API republishes the same district-month under successive unversioned revisions (18,414 of 69,408 district-months in the corpus carry more than one, up to 31), and we take the most complete revision, so a figure may rise when the source is pulled again. The current financial year is the least settled of all.","reader_note":"A running figure from the scheme's live database, counted from 1 April. It is revised as the year goes on, and the current year is the least settled.","source_id":41}],[{"kind":"never_compare_to","severity":"warn","message":"Unskilled wages only, in nominal rupees lakh. Not total scheme expenditure (which adds material, skilled wages and administration) and not comparable across years without deflating, which nothing here does.","reader_note":"Unskilled wages only, in rupees of the day. Not the scheme's total spending, and not comparable across years without adjusting for inflation.","source_id":41},{"kind":"no_cross_grain","severity":"block","message":"Published at district grain only. There is no state or national row in this source, and summing districts would silently omit every district the crosswalk parks.","reader_note":null,"source_id":41},{"kind":"provisional","severity":"warn","message":"Financial-year-to-date administrative figure from a live scheme database, not a survey and not a closed account. The API republishes the same district-month under successive unversioned revisions (18,414 of 69,408 district-months in the corpus carry more than one, up to 31), and we take the most complete revision, so a figure may rise when the source is pulled again. The current financial year is the least settled of all.","reader_note":"A running figure from the scheme's live database, counted from 1 April. It is revised as the year goes on, and the current year is the least settled.","source_id":41}],[{"kind":"never_compare_to","severity":"warn","message":"A COUNT of person-days, not a share. Dividing it by mgnrega_persondays_fytd is not supported: that denominator is restricted to the central liability and this numerator has not been shown to be.","reader_note":"A count of person days worked by women, not a share. The scheme's person day total is not a safe denominator for it.","source_id":41},{"kind":"no_cross_grain","severity":"block","message":"Published at district grain only. There is no state or national row in this source, and summing districts would silently omit every district the crosswalk parks.","reader_note":null,"source_id":41},{"kind":"provisional","severity":"warn","message":"Financial-year-to-date administrative figure from a live scheme database, not a survey and not a closed account. The API republishes the same district-month under successive unversioned revisions (18,414 of 69,408 district-months in the corpus carry more than one, up to 31), and we take the most complete revision, so a figure may rise when the source is pulled again. The current financial year is the least settled of all.","reader_note":"A running figure from the scheme's live database, counted from 1 April. It is revised as the year goes on, and the current year is the least settled.","source_id":41}],[{"kind":"low_base","severity":"block","message":"Denominator is children who had the condition, or a three-month age band: often a few dozen cases per district.","reader_note":null,"source_id":34},{"kind":"never_compare_to","severity":"block","message":"TIME WINDOW DIFFERS: 24 hours (NFHS-4) vs 2 days (NFHS-5). Never compare with pnc_newborn_2days_pct, whose standing record already states the NFHS-4 column is na.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"warn","message":"Nominal rupees. A 2015-16 vs 2019-21 comparison of this indicator must say 'not inflation-adjusted'.","reader_note":"Rupees of the day. Set against the later round it is not adjusted for inflation, and the comparison has to say so.","source_id":34},{"kind":"no_cross_place","severity":"block","message":"Not comparable between districts. This is a MEAN of a heavily right-skewed rupee distribution (192.88 to 20,100.56 across districts, median 2,828.33) over the deliveries that happened in a PUBLIC facility -- a subgroup whose size and composition differ systematically between districts, because the share of births going to private facilities does. A district with few public deliveries is not measuring the same population as one where most births are public, so the two numbers are not like-for-like. Single-district display with its provenance is fine; a map, a ranking or a 'cheaper than' sentence is not.","reader_note":null,"source_id":3},{"kind":"no_ranking","severity":"block","message":"Not comparable between districts. This is a MEAN of a heavily right-skewed rupee distribution (192.88 to 20,100.56 across districts, median 2,828.33) over the deliveries that happened in a PUBLIC facility -- a subgroup whose size and composition differ systematically between districts, because the share of births going to private facilities does. A district with few public deliveries is not measuring the same population as one where most births are public, so the two numbers are not like-for-like. Single-district display with its provenance is fine; a map, a ranking or a 'cheaper than' sentence is not.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"A survey estimate, not a count: this figure rests on roughly 900 households per district. Differences smaller than about 6 percentage points between two districts are inside the sampling error and should not be read as real.","reader_note":"A survey estimate, not a count: it rests on roughly 900 households per district, so a gap under about 6 points between two districts is inside the sampling error.","source_id":3},{"kind":"never_compare_to","severity":"warn","message":"The NFHS-5 footnote warns that this measure 'does not denote access to toilet facility completely': it counts an improved facility not shared with any other household, and the denominator is people, not households.","reader_note":"Counts an improved toilet not shared with another household, and counts people rather than households, so it is not access to a toilet.","source_id":3},{"kind":"no_ranking","severity":"block","message":"No 'highest' or 'lowest district in India' claim on this indicator. NFHS-5 district estimates rest on roughly 900 households per district, and on the 2019-21 data the top two districts are 0.05 points apart -- well inside the survey's own margin of error, so which one is first is not something this survey can tell us. Comparing districts that are far apart is a separate question and is permitted.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"never_compare_to","severity":"warn","message":"Yield here is per hectare SOWN, not per hectare harvested; area lost to failure is in the denominator.","reader_note":"Yield per hectare sown, not per hectare harvested: area lost to crop failure stays in the denominator.","source_id":35},{"kind":"no_cross_place","severity":"warn","message":"Yield differences across districts are mostly rainfall, irrigation and soil, not management. Rankable, but a 'best/worst farmers' framing is not supported by this number.","reader_note":"Districts can be ranked on yield, but the gaps are mostly rainfall, irrigation and soil rather than how well anyone farms.","source_id":35},{"kind":"provisional","severity":"warn","message":"Administrative estimate compiled from state reporting, not a survey and not a measurement. States revise APY figures for several years after first publication, and 2022-23 is the most recent year and therefore the least settled. Coverage is 736 of 783 districts; a district with no crop reporting has NO figure, never a zero.","reader_note":"An administrative estimate from state reporting, revised for years afterwards. It covers 736 of 783 districts, and a district that reported nothing has no figure, not a zero.","source_id":35}],[{"kind":"never_compare_to","severity":"warn","message":"A census village is wholly rural by the census's own definition, so every statistic in this layer describes the DISTRICT'S RURAL HALF and nothing else. Never read it against the district's own Census 2011 row as if the two were the same measurement: that row is the whole district, town population included. Nor is the urban half derivable by subtraction here: the exporter attempts the complement on every run, publishes it for no district, and prints per district what it found and why in meta.urbanInference. A percentage is never subtracted from a percentage.","reader_note":"Villages are rural, so this describes only the rural half of the district. It is not comparable with the district's own census figure, which counts towns too.","source_id":40},{"kind":"no_cross_place","severity":"warn","message":"Officially reported Census 2011 share, published as-reported per the owner ruling of 2026-07-27 and published to readers per the owner ruling of 2026-08-31. Scheduled Caste and Scheduled Tribe status is a constitutional classification that varies BY STATE, a community notified in one state may not be notified in the next, so the same share in two states is not the same fact.","reader_note":"Scheduled Caste and Scheduled Tribe status is notified state by state, so a community counted in one state may not be counted in the next and the same share is not the same fact.","source_id":40},{"kind":"no_cross_place","severity":"warn","message":"Officially reported Census 2011 share, published as-reported per the owner ruling of 2026-07-27 and published to readers per the owner ruling of 2026-08-31. Scheduled Caste and Scheduled Tribe status is a constitutional classification that varies BY STATE: a community notified in one state may not be notified in the next, so the same share in two states is not the same fact. This is a property of the measurement and survives the publication ruling unchanged.","reader_note":"Scheduled Caste and Scheduled Tribe status is notified state by state, so a community counted in one state may not be counted in the next and the same share is not the same fact.","source_id":1},{"kind":"provisional","severity":"warn","message":"Village rows do not roll up to the district figure. 3,441 of the census's 640,932 village codes carry no usable LGD key and are quarantined (ing.census2011_pca_village_xwalk: 17 (Part) splits, 42 ambiguous, 3,382 orphans), and the census's 2011 village set is not LGD's 2026 one, so a sum over villages is short by a margin that is NOT randomly distributed. Use the district PCA row for a district figure; never add these up to make one.","reader_note":"Village rows do not add up to a district figure. Some village codes cannot be matched and are held back, so a sum over villages is short. Use the district's own row.","source_id":40}],[{"kind":"never_compare_to","severity":"block","message":"Never compare to the census child sex ratio (0-6): different construct.","reader_note":null,"source_id":3},{"kind":"no_ranking","severity":"block","message":"Sex-selection-adjacent. Rankings and 'worst district' framings are an owner-level call, not a default.","reader_note":null,"source_id":3},{"kind":"no_ranking","severity":"block","message":"Sex-selection-adjacent. Rankings and 'worst district' framings are an owner-level call, not a default.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"never_compare_to","severity":"block","message":"Never compare to the census 2011 sex ratio already on the site: different universe and precision.","reader_note":null,"source_id":34},{"kind":"never_compare_to","severity":"block","message":"Never compare to the census 2011 sex ratio already on the site: different universe and precision.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"low_base","severity":"warn","message":"The denominator is a small subgroup, so this is widely flagged or suppressed at district level.","reader_note":"The denominator is a small subgroup, so the survey flags or withholds this figure in many districts.","source_id":3},{"kind":"low_base","severity":"block","message":"Denominator is children who had the condition, or a three-month age band: often a few dozen cases per district.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"warn","message":"A census village is wholly rural by the census's own definition, so every statistic in this layer describes the DISTRICT'S RURAL HALF and nothing else. Never read it against the district's own Census 2011 row as if the two were the same measurement: that row is the whole district, town population included. Nor is the urban half derivable by subtraction here: the exporter attempts the complement on every run, publishes it for no district, and prints per district what it found and why in meta.urbanInference. A percentage is never subtracted from a percentage.","reader_note":"Villages are rural, so this describes only the rural half of the district. It is not comparable with the district's own census figure, which counts towns too.","source_id":40},{"kind":"no_cross_place","severity":"warn","message":"Officially reported Census 2011 share, published as-reported per the owner ruling of 2026-07-27 and published to readers per the owner ruling of 2026-08-31. Scheduled Caste and Scheduled Tribe status is a constitutional classification that varies BY STATE: a community notified in one state may not be notified in the next, so the same share in two states is not the same fact. This is a property of the measurement and survives the publication ruling unchanged.","reader_note":"Scheduled Caste and Scheduled Tribe status is notified state by state, so a community counted in one state may not be counted in the next and the same share is not the same fact.","source_id":1},{"kind":"no_cross_place","severity":"warn","message":"Officially reported Census 2011 share, published as-reported per the owner ruling of 2026-07-27 and published to readers per the owner ruling of 2026-08-31. Scheduled Caste and Scheduled Tribe status is a constitutional classification that varies BY STATE, a community notified in one state may not be notified in the next, so the same share in two states is not the same fact.","reader_note":"Scheduled Caste and Scheduled Tribe status is notified state by state, so a community counted in one state may not be counted in the next and the same share is not the same fact.","source_id":40},{"kind":"provisional","severity":"warn","message":"Village rows do not roll up to the district figure. 3,441 of the census's 640,932 village codes carry no usable LGD key and are quarantined (ing.census2011_pca_village_xwalk: 17 (Part) splits, 42 ambiguous, 3,382 orphans), and the census's 2011 village set is not LGD's 2026 one, so a sum over villages is short by a margin that is NOT randomly distributed. Use the district PCA row for a district figure; never add these up to make one.","reader_note":"Village rows do not add up to a district figure. Some village codes cannot be matched and are held back, so a sum over villages is short. Use the district's own row.","source_id":40}],[{"kind":"never_compare_to","severity":"warn","message":"A stock on one day, and a LOWER BOUND: never set against the ministry's own published Udyam registration totals, which count registration days this extract does not carry. It is not comparable with an enterprise count from any survey (which counts enterprises, registered or not) and it is not the sum of the yearly registration flows published beside it.","reader_note":"A count on one day and an undercount: it misses registration days, so never set it against the ministry's own totals or against a survey's count of enterprises.","source_id":43},{"kind":"no_cross_grain","severity":"block","message":"Aggregated by us from enterprise rows to the district of the registered address, and published at district grain only. A state or national figure would be a sum of districts and is not this source's own statement; the eight districts created most recently return no rows at all, so a sum would be silently short.","reader_note":null,"source_id":43},{"kind":"no_cross_place","severity":"warn","message":"A COUNT of registrations, driven first by how populous and how urban a district is. It is a volume, not a measure of enterprise density and not a measure of how business-friendly a district is; this source publishes no denominator, and the obvious one (Census 2011 population) is fifteen years older than the register.","reader_note":"A count of registrations, driven first by how populous and how urban a district is. It is a volume, not a measure of how business friendly a district is.","source_id":43},{"kind":"provisional","severity":"warn","message":"A live administrative register read once through an open-data extract, not a survey and not a closed account. Registration is self-declared and unverified at the point of entry; the extract repeats 6.60% of its own rows across pull pages and omits whole registration days (75 days of 2024, 106 of 2025); and the source sits at precedence 60 because data.gov.in served a sandbox banner around the pull date and no sample has been re-verified against udyamregistration.gov.in. A re-pull will not reproduce these numbers exactly, in either direction.","reader_note":"A live register, self declared and unverified, read once through an open data extract that repeats some rows and misses whole registration days.","source_id":43}],[{"kind":"never_compare_to","severity":"warn","message":"2020 is the portal's opening year: it began on 1 July 2020, so its count covers six months of scheme and twelve months of calendar, and the 2020-to-2021 step is mostly that. The series stops at 2023 because the extract omits a fifth of 2024's days and nearly a third of 2025's; the missing years are absent, and absent is not zero.","reader_note":"The portal opened on 1 July 2020, so 2020 is half a year of scheme. The series stops at 2023 because later years are missing days, and missing is not zero.","source_id":43},{"kind":"no_cross_grain","severity":"block","message":"Aggregated by us from enterprise rows to the district of the registered address, and published at district grain only. A state or national figure would be a sum of districts and is not this source's own statement; the eight districts created most recently return no rows at all, so a sum would be silently short.","reader_note":null,"source_id":43},{"kind":"no_cross_place","severity":"warn","message":"A COUNT of registrations, driven first by how populous and how urban a district is. It is a volume, not a measure of enterprise density and not a measure of how business-friendly a district is; this source publishes no denominator, and the obvious one (Census 2011 population) is fifteen years older than the register.","reader_note":"A count of registrations, driven first by how populous and how urban a district is. It is a volume, not a measure of how business friendly a district is.","source_id":43},{"kind":"provisional","severity":"warn","message":"A live administrative register read once through an open-data extract, not a survey and not a closed account. Registration is self-declared and unverified at the point of entry; the extract repeats 6.60% of its own rows across pull pages and omits whole registration days (75 days of 2024, 106 of 2025); and the source sits at precedence 60 because data.gov.in served a sandbox banner around the pull date and no sample has been re-verified against udyamregistration.gov.in. A re-pull will not reproduce these numbers exactly, in either direction.","reader_note":"A live register, self declared and unverified, read once through an open data extract that repeats some rows and misses whole registration days.","source_id":43}],[{"kind":"low_base","severity":"warn","message":"District bases for the vaccination block are roughly 50-150 children.","reader_note":"The vaccination figures rest on roughly 50 to 150 children per district, so small gaps between districts are not real.","source_id":3},{"kind":"low_base","severity":"block","message":"Rests on roughly 50-150 children age 12-23 months per district. Not a ranking surface.","reader_note":null,"source_id":34},{"kind":"no_ranking","severity":"block","message":"Excluded from cross-district rankings and best/worst copy: the base is too small to separate districts.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"block","message":"Rests on roughly 50-150 children age 12-23 months per district. Not a ranking surface.","reader_note":null,"source_id":34},{"kind":"never_compare_to","severity":"block","message":"VACCINE DIFFERS: the NFHS-5 indicator counts penta OR DPT. Never compare with vacc_penta_dpt3_12_23m_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"block","message":"Rests on roughly 50-150 children age 12-23 months per district. Not a ranking surface.","reader_note":null,"source_id":34},{"kind":"never_compare_to","severity":"block","message":"VACCINE SCHEDULE DIFFERS: NFHS-5's full-vaccination criterion admits penta in place of DPT and any measles-containing vaccine. Never compare with vacc_full_card_or_recall_12_23m_pct or vacc_full_card_only_12_23m_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"District bases for the vaccination block are roughly 50-150 children.","reader_note":"The vaccination figures rest on roughly 50 to 150 children per district, so small gaps between districts are not real.","source_id":3},{"kind":"no_ranking","severity":"block","message":"Excluded from cross-district rankings and best/worst copy: the base is too small to separate districts.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"low_base","severity":"block","message":"Rests on roughly 50-150 children age 12-23 months per district. Not a ranking surface.","reader_note":null,"source_id":34},{"kind":"never_compare_to","severity":"block","message":"VACCINE DIFFERS: the NFHS-5 indicator counts penta OR hepatitis B. Never compare with vacc_penta_hepb3_12_23m_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"block","message":"Rests on roughly 50-150 children age 12-23 months per district. Not a ranking surface.","reader_note":null,"source_id":34},{"kind":"never_compare_to","severity":"block","message":"CRITERION DIFFERS: NFHS-5 counts any first dose of a measles-CONTAINING vaccine (MCV/MR/MMR/measles), a superset introduced after the MR campaign that followed NFHS-4 fieldwork. Never compare with vacc_mcv1_12_23m_pct. FLAGGED FOR BA: if the BA rules the two numerically coincide for the NFHS-4 period, this is the one split worth collapsing.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"District bases for the vaccination block are roughly 50-150 children.","reader_note":"The vaccination figures rest on roughly 50 to 150 children per district, so small gaps between districts are not real.","source_id":3},{"kind":"low_base","severity":"block","message":"Rests on roughly 50-150 children age 12-23 months per district. Not a ranking surface.","reader_note":null,"source_id":34},{"kind":"no_ranking","severity":"block","message":"Excluded from cross-district rankings and best/worst copy: the base is too small to separate districts.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"low_base","severity":"block","message":"Rests on roughly 50-150 children age 12-23 months per district. Not a ranking surface.","reader_note":null,"source_id":34},{"kind":"low_base","severity":"warn","message":"District bases for the vaccination block are roughly 50-150 children.","reader_note":"The vaccination figures rest on roughly 50 to 150 children per district, so small gaps between districts are not real.","source_id":3},{"kind":"no_ranking","severity":"block","message":"Excluded from cross-district rankings and best/worst copy: the base is too small to separate districts.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"District bases for the vaccination block are roughly 50-150 children.","reader_note":"The vaccination figures rest on roughly 50 to 150 children per district, so small gaps between districts are not real.","source_id":3},{"kind":"no_cross_place","severity":"block","message":"Official footnote: rotavirus was not provided across all states and districts, and 'the levels should not be compared'. Never on a map, ranking or cross-place comparison at any grain.","reader_note":null,"source_id":3},{"kind":"no_ranking","severity":"block","message":"Excluded from cross-district rankings and best/worst copy: the base is too small to separate districts.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"never_compare_to","severity":"block","message":"Never compare to the NFHS-5 India Report's 6-59 month vitamin A figure (36.8% for India): a different indicator, not a wider-band version of this one.","reader_note":null,"source_id":3},{"kind":"no_cross_grain","severity":"block","message":"District and state values for this indicator may not share an axis, a ranking, or 'district X vs its state' copy: the district column's 9-35 basis is consistent but not proven (no revised district factsheet obtainable). Cross-DISTRICT ranking is fine, all 706 come from one column on one basis.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"never_compare_to","severity":"block","message":"AGE BAND DIFFERS: 9-59 months here vs 9-35 months for NFHS-5. Never compare with vitamin_a_9_35m_pct. A third id is required because the historical id vitamin_a_9_59m_pct is retired and trigger-blocked, and vitamin_a_9_35m_pct carries a supersession block admitting only source_ids {3,4}.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"no_ranking","severity":"block","message":"Not rankable. This is the share of a district's villages that carry a value at all, which is a property of OUR crosswalk between the census's 2011 village set and LGD's 2026 one, not a property of the district. Ordering districts by it publishes a league table of our own join quality under a census indicator's name. It may stand beside a district's figure as the reason to trust it or not; it may never be ordered. (Base indicator: female_literacy.)","reader_note":null,"source_id":40}],[{"kind":"no_ranking","severity":"block","message":"Not rankable. This is the share of a district's villages that carry a value at all, which is a property of OUR crosswalk between the census's 2011 village set and LGD's 2026 one, not a property of the district. Ordering districts by it publishes a league table of our own join quality under a census indicator's name. It may stand beside a district's figure as the reason to trust it or not; it may never be ordered. (Base indicator: female_wpr.)","reader_note":null,"source_id":40}],[{"kind":"no_ranking","severity":"block","message":"Not rankable. This is the share of a district's villages that carry a value at all, which is a property of OUR crosswalk between the census's 2011 village set and LGD's 2026 one, not a property of the district. Ordering districts by it publishes a league table of our own join quality under a census indicator's name. It may stand beside a district's figure as the reason to trust it or not; it may never be ordered. (Base indicator: literacy_rate.)","reader_note":null,"source_id":40}],[{"kind":"no_ranking","severity":"block","message":"Not rankable. This is the share of a district's villages that carry a value at all, which is a property of OUR crosswalk between the census's 2011 village set and LGD's 2026 one, not a property of the district. Ordering districts by it publishes a league table of our own join quality under a census indicator's name. It may stand beside a district's figure as the reason to trust it or not; it may never be ordered. (Base indicator: sc_pct.)","reader_note":null,"source_id":40}],[{"kind":"no_ranking","severity":"block","message":"Not rankable. This is the share of a district's villages that carry a value at all, which is a property of OUR crosswalk between the census's 2011 village set and LGD's 2026 one, not a property of the district. Ordering districts by it publishes a league table of our own join quality under a census indicator's name. It may stand beside a district's figure as the reason to trust it or not; it may never be ordered. (Base indicator: sex_ratio.)","reader_note":null,"source_id":40}],[{"kind":"no_ranking","severity":"block","message":"Not rankable. This is the share of a district's villages that carry a value at all, which is a property of OUR crosswalk between the census's 2011 village set and LGD's 2026 one, not a property of the district. Ordering districts by it publishes a league table of our own join quality under a census indicator's name. It may stand beside a district's figure as the reason to trust it or not; it may never be ordered. (Base indicator: st_pct.)","reader_note":null,"source_id":40}],[{"kind":"no_ranking","severity":"block","message":"Not rankable. This is the share of a district's villages that carry a value at all, which is a property of OUR crosswalk between the census's 2011 village set and LGD's 2026 one, not a property of the district. Ordering districts by it publishes a league table of our own join quality under a census indicator's name. It may stand beside a district's figure as the reason to trust it or not; it may never be ordered. (Base indicator: wpr.)","reader_note":null,"source_id":40}],[{"kind":"low_base","severity":"warn","message":"A survey estimate, not a count: this figure rests on roughly 280-300 women age 15-24 per district. Differences smaller than about 9 percentage points between two districts are inside the sampling error and should not be read as real.","reader_note":"A survey estimate, not a count: it rests on roughly 280-300 women age 15-24 per district, so a gap under about 9 points between two districts is inside the sampling error.","source_id":3},{"kind":"no_ranking","severity":"block","message":"No 'highest' or 'lowest district in India' claim on this indicator. NFHS-5 district estimates rest on roughly 280-300 women age 15-24 per district, and on the 2019-21 data the top two districts are 0.00 points apart -- well inside the survey's own margin of error, so which one is first is not something this survey can tell us. Comparing districts that are far apart is a separate question and is permitted.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"never_compare_to","severity":"block","message":"AGE BAND AND BANDING DIFFER: NFHS-5 collapses moderate and severe into one '>=160/>=100' row for women 15+. Never compare with women_bp_moderate_severe_pct; #86 and #87 together are its closest analogue and even that is a derived figure on a different population.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"block","message":"AGE BAND DIFFERS: women 15-49 here vs women 15+ in NFHS-5. Never compare with women_bp_mild_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"block","message":"AGE BAND AND BANDING DIFFER: NFHS-5 has no separate very-high row. Never compare with women_bp_moderate_severe_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"block","message":"POPULATION DIFFERS: women 15-49 here vs women 30-49 in NFHS-5. Never compare with women_30_49_breast_exam_pct. Compiled-CSV label defect 'Vreast' corrected.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"block","message":"POPULATION DIFFERS: women 15-49 here vs women 30-49 in NFHS-5. Never compare with women_30_49_cervical_screening_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"block","message":"AGE BAND AND THRESHOLD DIFFER: women 15-49 and a >140 open-ended cut-off here, vs women 15+ and a 141-160 band in NFHS-5. Never compare with women_glucose_high_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"block","message":"AGE BAND DIFFERS: women 15-49 here vs women 15+ in NFHS-5. Never compare with women_glucose_very_high_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"block","message":"The standing NFHS-5 record states the literacy definition CHANGED between rounds and that the NFHS-4 column is na. Never compare with women_15_49_literate_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"never_compare_to","severity":"block","message":"Never compare to any census literacy figure, and never label as a 'literacy rate': women 15-49 only, and a more lenient reading criterion.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"never_compare_to","severity":"block","message":"POPULATION DIFFERS: women 15-49 here vs women 30-49 in NFHS-5. Never compare with women_30_49_oral_exam_pct.","reader_note":null,"source_id":34},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"A survey estimate, not a count: this figure rests on roughly 1,000 women interviewed per district. Differences smaller than about 6 percentage points between two districts are inside the sampling error and should not be read as real.","reader_note":"A survey estimate, not a count: it rests on roughly 1,000 women interviewed per district, so a gap under about 6 points between two districts is inside the sampling error.","source_id":3},{"kind":"no_ranking","severity":"block","message":"No 'highest' or 'lowest district in India' claim on this indicator. NFHS-5 district estimates rest on roughly 1,000 women interviewed per district, and on the 2019-21 data the top two districts are 2.41 points apart -- well inside the survey's own margin of error, so which one is first is not something this survey can tell us. Comparing districts that are far apart is a separate question and is permitted.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"no_ranking","severity":"block","message":"Self-reported and stigma-affected: differences between places partly measure willingness to admit it. Factual, as-officially-reported display only: no 'drinks most' framings, no rankings without an owner-level call.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"low_base","severity":"warn","message":"A survey estimate, not a count: this figure rests on roughly 150-180 women age 20-24 per district. Differences smaller than about 12 percentage points between two districts are inside the sampling error and should not be read as real.","reader_note":"A survey estimate, not a count: it rests on roughly 150-180 women age 20-24 per district, so a gap under about 12 points between two districts is inside the sampling error.","source_id":3},{"kind":"never_compare_to","severity":"warn","message":"A cohort measure, not a current rate: it counts women who are 20-24 today and were married before 18 at the time, so it describes marriages that happened up to a decade before the survey.","reader_note":"Counts women now aged 20 to 24 who were married before 18, so it describes marriages up to a decade before the survey, not this year's.","source_id":3},{"kind":"no_ranking","severity":"block","message":"No 'highest' or 'lowest district in India' claim on this indicator. NFHS-5 district estimates rest on roughly 150-180 women age 20-24 per district, and on the 2019-21 data the top two districts are 1.53 points apart -- well inside the survey's own margin of error, so which one is first is not something this survey can tell us. Comparing districts that are far apart is a separate question and is permitted.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}],[{"kind":"low_base","severity":"warn","message":"A survey estimate, not a count: this figure rests on roughly 1,000 women measured per district. Differences smaller than about 5 percentage points between two districts are inside the sampling error and should not be read as real.","reader_note":"A survey estimate, not a count: it rests on roughly 1,000 women measured per district, so a gap under about 5 points between two districts is inside the sampling error.","source_id":3},{"kind":"no_ranking","severity":"block","message":"No 'highest' or 'lowest district in India' claim on this indicator. NFHS-5 district estimates rest on roughly 1,000 women measured per district, and on the 2019-21 data the top two districts are 1.05 points apart -- well inside the survey's own margin of error, so which one is first is not something this survey can tell us. Comparing districts that are far apart is a separate question and is permitted.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"low_base","severity":"warn","message":"A survey estimate, not a count: this figure rests on roughly 1,000 women tested per district. Differences smaller than about 4 percentage points between two districts are inside the sampling error and should not be read as real.","reader_note":"A survey estimate, not a count: it rests on roughly 1,000 women tested per district, so a gap under about 4 points between two districts is inside the sampling error.","source_id":3},{"kind":"no_ranking","severity":"block","message":"No 'highest' or 'lowest district in India' claim on this indicator. NFHS-5 district estimates rest on roughly 1,000 women tested per district, and on the 2019-21 data the top two districts are 3.08 points apart -- well inside the survey's own margin of error, so which one is first is not something this survey can tell us. Comparing districts that are far apart is a separate question and is permitted.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3}],[{"kind":"low_base","severity":"warn","message":"A survey estimate, not a count: this figure rests on roughly 950 women measured per district. Differences smaller than about 5 percentage points between two districts are inside the sampling error and should not be read as real.","reader_note":"A survey estimate, not a count: it rests on roughly 950 women measured per district, so a gap under about 5 points between two districts is inside the sampling error.","source_id":3},{"kind":"no_ranking","severity":"block","message":"No 'highest' or 'lowest district in India' claim on this indicator. NFHS-5 district estimates rest on roughly 950 women measured per district, and on the 2019-21 data the top two districts are 1.42 points apart -- well inside the survey's own margin of error, so which one is first is not something this survey can tell us. Comparing districts that are far apart is a separate question and is permitted.","reader_note":null,"source_id":3},{"kind":"provisional","severity":"warn","message":"Provisional compiled dataset: data.gov.in titles this resource 'Provisional'. Coverage is 706 districts, not all 783, Saiha is absent and the file's Chandel (Mizoram) row is a source duplication.","reader_note":"A provisional dataset, in the publisher's own words. It covers 706 of 783 districts, Saiha is missing, and one row is duplicated in the source file.","source_id":3},{"kind":"provisional","severity":"warn","message":"FIRST-RELEASE VALUES. These figures are compiled (MIT-licensed scrape, HindustanTimesLabs/nfhs-data) from the IIPS district fact sheets as published in February 2016. IIPS reissued the sheets in July 2018 with a minority of cells silently revised: a check of 8 districts in 5 states run on 2026-08-03 found 36 of 2,232 cells differ (1.6%), and against archived 2016-vintage sheets the compilation is exact. So a superseded value is possible on any indicator, and any surface carrying these numbers must say the round and that they are the first release.","reader_note":"The first release of the 2015-16 round. A later reissue revised some cells without saying so, so a figure here may have been superseded.","source_id":34}]],"legacyIds":{"literacy_rate_7plus":"literacy_rate","apy_rice_yield_t_per_ha":"rice_yield_t_per_ha","apyts_rice_yield_t_per_ha":"rice_yield_t_per_ha","apy_wheat_yield_t_per_ha":"wheat_yield_t_per_ha","apyts_wheat_yield_t_per_ha":"wheat_yield_t_per_ha","a2_census_population":"census_population","apy_cereals_area_share_pct":"cereals_area_share_pct","apyts_cereals_area_share_pct":"cereals_area_share_pct","apy_pulses_area_share_pct":"pulses_area_share_pct","apyts_pulses_area_share_pct":"pulses_area_share_pct","apy_oilseeds_area_share_pct":"oilseeds_area_share_pct","apyts_oilseeds_area_share_pct":"oilseeds_area_share_pct","apy_gross_cropped_area_ha":"gross_cropped_area_ha","apyts_gross_cropped_area_ha":"gross_cropped_area_ha","apy_crops_reported_n":"crops_reported_n","apyts_crops_reported_n":"crops_reported_n","nfhs4_children_u5_stunted_pct":"children_u5_stunted_pct","nfhs4_women_15_49_schooling_10yr_pct":"women_15_49_schooling_10yr_pct","nfhs4_women_20_24_married_before_18_pct":"women_20_24_married_before_18_pct","nfhs4_women_overweight_obese_pct":"women_overweight_obese_pct","nfhs4_csection_pct":"csection_pct","nfhs4_hh_health_insurance_pct":"hh_health_insurance_pct","nfhs4_oop_delivery_public_rs":"oop_delivery_public_rs","nfhs4_hh_clean_cooking_fuel_pct":"hh_clean_cooking_fuel_pct"},"sources":{"1":{"source_id":1,"name":"Census of India 2011","licence":"Govt. of India, open","cadence":"stock","note":"District table: data/raw/india-districts-census-2011.csv (640 districts x 118 columns; via nishusharma1608 compilation). State table: data/raw/census_states_2011.csv (36 states/UTs; via covid19india deep-dive). Attribution given in the site footer.","precedence":80,"attribution":"Census of India 2011, Office of the Registrar General & Census Commissioner, Government of India. Open government data. The district and state tables are ingested from public compilations of the published census tables rather than a direct download from censusindia.gov.in.","publisher":"Office of the Registrar General & Census Commissioner, Government of India","slug":"census-2011","status":"loaded","grains":["district","state"],"indicators":30,"fact_count":24553,"span":["1991","2011"]},"2":{"source_id":2,"name":"LGD spine (ramSeraph indian_admin_boundaries)","url":"https://github.com/ramSeraph/indian_admin_boundaries","licence":"CC0","cadence":"stock","note":"Site boundary TopoJSON web/public/geo/admin-{state,district}.json; carries LGD codes (spine) + 2011 census codes (crosswalk). Provides std.entity places and 'contains' edges.","precedence":80,"status":"registered","grains":[],"indicators":0,"fact_count":0},"3":{"source_id":3,"name":"NFHS-5 (2019-21) district factsheets","url":"https://www.data.gov.in/resource/india-districts-factsheets-national-family-health-survey-nfhs-5-2019-2021-provisional","licence":"GODL-India","cadence":"stock","note":"MoHFW + IIPS compiled district XLS (resource uuid cf80173e-fece-439d-a0b1-6e9cb510593d), 111 fields. GODL attribution string required on the site. Factsheet PDFs (road 2): rchiips.org/nfhs/NFHS-5_FCTS/<STATE>/<District>.pdf via Wayback while rchiips is down. Licence verified in W2 spike 2026-07-28.","precedence":80,"attribution":"Contains information from the Ministry of Health & Family Welfare / IIPS, National Family Health Survey 5 (2019-21), obtained from data.gov.in and made available under the Government Open Data License - India (GODL).","publisher":"International Institute for Population Sciences (IIPS), for the Ministry of Health & Family Welfare","slug":"nfhs5","status":"loaded","grains":["district"],"indicators":104,"fact_count":160654,"span":["2015-16","2019-21"]},"4":{"source_id":4,"name":"NFHS-5 (2019-21) state/UT factsheets","url":"https://www.data.gov.in/resource/all-india-and-stateut-wise-factsheets-national-family-health-survey-nfhs-5-2019-2021","licence":"GODL-India","cadence":"stock","note":"MoHFW + IIPS compiled state/UT XLS (OGD resource uuid 7c568619-b9b4-40bb-b563-68c28c27a6c1, NFHS_5_Factsheets_Data.xls, 179712 bytes, 136 fields). Covers India + 36 states/UTs x Urban/Rural/Total. Licence verified 2026-07-29: the resource carries no per-resource licence override, so the site-wide OGD terms apply verbatim -- \"The content published on data.gov.in is owned by the respective Ministry/State/Department/Organization and licensed under the Government Open Data License - India\". GODL attribution string required on the site. NOT titled provisional (unlike the district resource); definitions of record are the NFHS-5 State Factsheet Compendium Phase-I/II PDFs.","precedence":80,"attribution":"Contains information from the Ministry of Health & Family Welfare / IIPS, National Family Health Survey 5 (2019-21), obtained from data.gov.in and made available under the Government Open Data License - India (GODL).","publisher":"International Institute for Population Sciences (IIPS), for the Ministry of Health & Family Welfare","slug":"nfhs5-state","status":"loaded","grains":["country","state"],"indicators":131,"fact_count":14538,"span":["2019-21","2019-21"]},"12":{"source_id":12,"name":"IAS Civil List (DoPT)","url":"https://iascivillist.dopt.gov.in/","licence":"NO OPEN LICENCE. DoPT website policy (fetched 2026-07-29): \"Contents of this website may not be reproduced partially or fully, without due permission from the Department of Personnel & Training.\" The permissive NIC boilerplate is absent -- DoPT took the restrictive fork. GODL-India does not apply and would not help: it is not on data.gov.in, and GODL §6(a) exempts Personal Information outright. Cover for processing rests on DPDP Act 2023 §3(c)(ii)(B) read with RTI Act 2005 §4(1)(b)(ix) (a public authority's duty to publish a directory of its officers).","cadence":"stock","note":"Annual editions, each a complete stock as on 1 January. OWNER RULING 2026-07-29 (wiki/decisions.md): publish STATISTICS only; the register itself stays internal; comply with the current law of the land. The redaction posture is not a convention -- migration 019 enforces it with triggers, and no exporter may emit a per-officer surface.","precedence":60,"attribution":"Civil List of the Indian Administrative Service, Ministry of Personnel, Public Grievances and Pensions / Department of Personnel & Training, Government of India. Re-presented from the editions DoPT itself publishes; each posting is cited to its edition and printed page. Completeness is not claimed.","status":"registered","grains":[],"indicators":0,"fact_count":0},"13":{"source_id":13,"name":"Wikidata (WDQS district subgraph)","url":"https://query.wikidata.org/sparql","licence":"CC0 1.0 Universal. Wikidata content is dedicated to the public domain (https://www.wikidata.org/wiki/Wikidata:Licensing); no attribution is legally required, and we attribute anyway because the provenance is the point. The CC0 dedication covers the DATA; individual media files on Commons carry their own licences and none are ingested here.","cadence":"continuous","note":"Community-curated, so coverage varies by topic and completeness is never assumed -- it is counted, per query, before adoption. Refreshed by re-running the stored query into a NEW raw.artifact and diffing; the imported half lives under attrs->'wikidata' so hand corrections survive a refresh.","precedence":50,"status":"registered","grains":[],"indicators":0,"fact_count":0},"15":{"source_id":15,"name":"LGD historical district lineage (ramSeraph)","url":"https://github.com/ramSeraph/indian_admin_boundaries/releases/tag/historical","licence":"Same terms as the LGD spine release this project already uses: source boundaries are CC0 and Survey-of-India-compliant. Derived lineage tables are published alongside the scraper code.","cadence":"static","note":"Census-year snapshots 1941-2024 plus dated change events. The lineage granularity (census years) MATCHES our indicator vintages (census 2011, NFHS 2019-21), so it is the right shape for comparison rather than an approximation of it.","precedence":80,"status":"registered","grains":[],"indicators":0,"fact_count":0},"16":{"source_id":16,"name":"Wikipedia (district formation research)","url":"https://en.wikipedia.org/","licence":"CC BY-SA 4.0. Attribution required; we cite the article per row.","cadence":"continuous","note":"Hand-curated from per-district articles, 2026-07-31, to cover districts created after the 2024-vintage lineage file and nine abolished since. Precedence 40 -- prose community source -- so a gazette (90) or refreshed LGD dump (80) overrules it automatically. Every row names its parent as the ARTICLE stated it, and a year-only source yields a year, never an invented day.","precedence":40,"status":"registered","grains":[],"indicators":0,"fact_count":0},"17":{"source_id":17,"name":"LGD sub-districts (ramSeraph indian_admin_boundaries)","url":"https://github.com/ramSeraph/indian_admin_boundaries/releases/tag/subdistricts","licence":"Same terms as the LGD district spine already in use: CC0 source boundaries, Survey-of-India-compliant national outline.","cadence":"periodic","note":"LGD_Subdistricts.parquet, asset dated 2026-03-09 -- current, not a stale snapshot. 6,471 rows, 6,361 distinct codes, every row carrying dist_lgd so the join to our district spine is mechanical. Also carries ac_no on 4,418 rows, an assembly-constituency crosswalk we were not looking for.","precedence":80,"status":"registered","grains":[],"indicators":0,"fact_count":0},"18":{"source_id":18,"name":"SBM urban local bodies (ramSeraph indian_admin_boundaries)","url":"https://github.com/ramSeraph/indian_admin_boundaries/releases/tag/urban","licence":"Same terms as the LGD spine already in use; boundaries CC0 and Survey-of-India-compliant.","cadence":"periodic","note":"SBM_ULBs.parquet, asset dated 2026-03-09. Swachh Bharat Mission urban register. NOTE ITS DISTRICT CODE IS THE CENSUS 2011 CODE, not LGD -- see migration 030 for why that distinction nearly cost us the layer.","precedence":80,"status":"registered","grains":[],"indicators":0,"fact_count":0},"20":{"source_id":20,"name":"LGD villages (ramSeraph indian_admin_boundaries)","url":"https://github.com/ramSeraph/indian_admin_boundaries/releases/tag/villages","licence":"Same terms as the LGD spine already in use; CC0 source boundaries.","cadence":"periodic","note":"LGD_Villages.parquet, asset dated 2026-03-09. 584,615 villages, 94% carrying both Census-2011 and LGD codes with both sets of parents -- the crosswalk that lets 2011 figures be re-aggregated onto current boundaries.","precedence":80,"status":"registered","grains":[],"indicators":0,"fact_count":0},"22":{"source_id":22,"name":"Census 2011 Town and Village Directory (ORGI)","url":"https://censusindia.gov.in/nada/index.php/catalog/42648","licence":"Government of India, Office of the Registrar General & Census Commissioner. Census data is published for public use; no NC or ShareAlike restriction, which is why this route is preferred over SHRUG (CC BY-NC-SA) wherever both would serve.","cadence":"static","note":"PC11_TV_DIR.xlsx, 657,009 rows. Supplies the 2011 PARENTAGE that the LGD village file does not carry. Fetched over a verified TLS chain with the emSign intermediate supplied.","precedence":80,"status":"registered","grains":[],"indicators":0,"fact_count":0},"23":{"source_id":23,"name":"Census 2011 Primary Census Abstract (sub-district)","url":"https://censusindia.gov.in/nada/index.php/catalog/42559","licence":"Government of India, ORGI. Census output is public; no NC or ShareAlike restriction, unlike SHRUG.","cadence":"static","note":"2011-IndiaStateDistSbDistTwn-0000.xlsx. Fetched over a verified TLS chain with the emSign intermediate supplied -- never with verification disabled.","precedence":80,"status":"registered","grains":[],"indicators":0,"fact_count":0},"25":{"source_id":25,"name":"LGD constituencies (ramSeraph indian_admin_boundaries)","url":"https://github.com/ramSeraph/indian_admin_boundaries/releases/tag/constituencies","licence":"Same terms as the LGD spine already in use; CC0 source boundaries.","cadence":"periodic","note":"LGD_Assembly_Constituencies.parquet + LGD_Parliament_Constituencies.parquet, assets dated 2026-03-08. Current delimitation (2008 order). Carries AC->PC and AC->district, but its STATE field is unreliable -- stale for Telangana and wrong for Puducherry enclaves.","precedence":80,"status":"registered","grains":[],"indicators":0,"fact_count":0},"26":{"source_id":26,"name":"Delimitation of Parliamentary and Assembly Constituencies Order, 2008","url":"https://www.eci.gov.in/Documents/Delimitation/DelimitationofParliamentaryAssemblyConstituenciesOrder-2008(English).pdf","licence":"Statutory instrument of the Government of India, published by the Election Commission. Public.","cadence":"static","note":"The LAW defining every current constituency by its constituent revenue units. 572 born-digital pages. PRECEDENCE 90 -- higher than the LGD register (80), because where a statutory order and an administrative register disagree the order governs.","precedence":90,"status":"registered","grains":[],"indicators":0,"fact_count":0},"27":{"source_id":27,"name":"J&K Delimitation Commission final order, 5 May 2022","url":"https://ceojk.nic.in/pdf/Delimitation/GoI%20gazette%20notification%20delimitation.pdf","licence":"Government of India gazette notification; official text, freely published.","cadence":"one-off","note":"Gazette of India Extraordinary CG-DL-E-05052022-235556, Part II Sec 3(iii) No. 17, Order No. 2. Establishes 90 elected assembly constituencies (7 SC, 9 ST) and 5 parliamentary constituencies for the UT of Jammu & Kashmir, superseding the 87-seat pre-2019 State assembly. Reached via ceojk.nic.in because eci.gov.in 403s automated fetch.","precedence":90,"status":"registered","grains":[],"indicators":0,"fact_count":0},"28":{"source_id":28,"name":"Odisha Revenue & Disaster Management Dept -- administrative units","url":"https://revenue.odisha.gov.in/en/about-us/administrative-unit","licence":"Government of Odisha official web publication.","cadence":"periodic","note":"The state's own statement of its structure: 3 revenue divisions, 30 districts, 58 sub-divisions, 317 tahasils, 314 blocks, with a district-wise table naming every tahasil. Parsed count reconciles to 317 AND matches the page's own per-district subtotals in all 30 districts.","precedence":90,"status":"registered","grains":[],"indicators":0,"fact_count":0},"29":{"source_id":29,"name":"West Bengal Urban Development & Municipal Affairs Dept -- municipalities","url":"https://udma.wb.gov.in/Main/urban_local_bodies","licence":"Government of West Bengal official web publication.","cadence":"periodic","note":"Departmental directory of 116 municipalities and 3 notified area authorities with their districts. Page last updated 10/10/2025. Does NOT list the seven municipal corporations. Served over a TLS configuration requiring legacy renegotiation, so it is browser-fetched rather than curl-fetched -- verification is never disabled to reach a source.","precedence":90,"status":"registered","grains":[],"indicators":0,"fact_count":0},"30":{"source_id":30,"name":"Bihar Urban Livelihoods Mission -- ULB directory","url":"https://biharsulm.in/index.php/controllers/ulbs","licence":"Government of Bihar (UD&HD) official web publication.","cadence":"periodic","note":"CONTACT DIRECTORY, not a statutory register: it carries an email and a free-text address per body, no district column and no LGD code. 266 rows of which 4 are not ULBs at all (two personal names, a row literally called \"bihar\", and a bare duplicate). Its TYPE labels are stale -- it shows 12 corporations against Bihar's 19 -- so ulb_type here is source-declared, not authoritative.","precedence":50,"status":"registered","grains":[],"indicators":0,"fact_count":0},"31":{"source_id":31,"name":"Wikipedia -- Tamil Nadu municipal corporations","url":"https://en.wikipedia.org/wiki/List_of_municipal_corporations_in_Tamil_Nadu","licence":"CC BY-SA 4.0.","cadence":"ad hoc","note":"WIKIPEDIA, not a government register -- precedence 30, below every official source we hold. Used because the TN directorates were not reachable and the SBM register lacks most corporations, Madurai, Tiruchirappalli, Tirunelveli, Tiruppur, Erode and Thoothukudi among them. Lists 25, not the 21 usually quoted: Karaikudi, Namakkal, Pudukkottai and Tiruvannamalai are recent. Replace with the MAWS directorate list when one can be fetched.","precedence":30,"status":"registered","grains":[],"indicators":0,"fact_count":0},"33":{"source_id":33,"name":"LGD via data.gov.in API","url":"https://api.data.gov.in/resource/37231365-78ba-44d5-ac22-3deec40b9197","licence":"Government of India open data (data.gov.in), NDSAP.","cadence":"monthly","note":"The Local Government Directory read directly from the primary registry, refreshed on the 1st of each month. Every row carries BOTH the LGD code and the Census 2011 code at every tier -- the crosswalk whose absence produced the 99%-wrong SBM join. Seven datasets: states, districts, sub-districts, local bodies, villages, and PIN-code variants of the last two. Fetched by warehouse/tools/fetch_lgd_api.py; the API key is a credential and lives in the gitignored .env.datagov.","precedence":90,"status":"registered","grains":[],"indicators":0,"fact_count":0},"34":{"source_id":34,"name":"NFHS-4 (2015-16) district factsheets (compiled)","url":"https://github.com/HindustanTimesLabs/nfhs-data","licence":"Govt. of India (IIPS / MoHFW) publication; compilation MIT","cadence":"stock","note":"W14 dataset 1, 2026-08-03. LICENCE, IN FULL: the compilation is MIT (Copyright (c) 2017 Hindustan Times, verified against the LICENSE file). The official fact sheets carry no reuse statement and the IIPS host page footer says \"Copyright (c) 2009 National Family Health Survey. All Rights Reserved\" -- no open licence upstream. The file is HindustanTimesLabs/nfhs-data, nfhs_district-wise.csv, scraped by its authors from the IIPS district fact sheet PDFs. We rely on the underlying Government of India publication, not on the compiler: no permission is claimed beyond MIT and no rights of theirs are asserted over the numbers. VINTAGE: this is the FEBRUARY 2016 FIRST RELEASE; IIPS reissued the sheets in July 2018 with a minority of cells revised (verified: 36 of 2,232 cells over 8 districts). Same posture as the 2011 census ingest (migration 057). FLAGGED, NOT WAVED THROUGH, the owner prefers genuinely free/open sources and a third-party scrape is a retrieval route of last resort; replace it the moment an official IIPS or data.gov.in district file is located, and run NFHS-4 road 2 (the 640 July-2018 PDFs on the Wayback Machine, keyed by the census code in each filename) to supersede the vintage. SHAPE: long-format CSV, CP1252, bare-CR line endings, 637 of the 640 census-2011 districts, Chandigarh (55), Dadra & Nagar Haveli (496) and Lakshadweep (587) are absent from the compilation. Joins to the spine on the 2011 census district code, mechanically: no resolver, no aliases, no name matching. See warehouse/tools/standardize_nfhs4.py for the join gate.","precedence":60,"attribution":"National Family Health Survey 4 (2015-16) district fact sheets, International Institute for Population Sciences (IIPS) for the Ministry of Health & Family Welfare, Government of India. Ingested from a public compilation of the published fact sheets (February 2016 first release) rather than a direct IIPS download.","publisher":"International Institute for Population Sciences (IIPS), for the Ministry of Health & Family Welfare","slug":"nfhs4","status":"loaded","grains":["district"],"indicators":93,"fact_count":176056,"span":["2015-16","2019-21"]},"35":{"source_id":35,"name":"Crop Area, Production & Yield (APY, DES-Agri)","url":"https://ckandev.indiadataportal.com/dataset/area-production-yield-apy","licence":"ODC-BY (Open Data Commons Attribution License)","cadence":"annual","note":"W14 dataset 2, 2026-08-03. Licence verified against the CKAN API (package area-production-yield-apy): license_title \"Open Data Commons Attribution License\", package url https://data.desagri.gov.in/login. ODC-BY requires attribution and imposes NO non-commercial and NO share-alike term, so unlike SHRUG nothing derived from it constrains the site. RETRIEVAL: the CKAN resource UUID rotates, so re-fetch by resolving https://ckandev.indiadataportal.com/api/3/action/package_show?id=area-production-yield-apy and reading resources[].url, never by pinning the UUID. GRAIN: year x state x district x crop x season, district_code is the LGD code. TRAP: season = 'Total' is a SUBTOTAL of the seasonal rows (3,146 crop-district pairs in 2022-2023, reconciling in 3,145 of them) and is excluded by the standardizer; summing it in would double-count rice in 363 districts. NO suppression markers exist in this file: it is an administrative compilation, not a sample survey.","precedence":55,"attribution":"Area, Production and Yield (APY) crop statistics, Directorate of Economics & Statistics, Department of Agriculture & Farmers Welfare, Government of India; obtained via the India Data Portal under the Open Data Commons Attribution License.","publisher":"Directorate of Economics & Statistics, Department of Agriculture & Farmers Welfare","slug":"apy","status":"loaded","grains":["district"],"indicators":7,"fact_count":107023,"span":["1997-1998","2022-2023"]},"36":{"source_id":36,"name":"Owner adjudication (review dashboard)","licence":"Not a third-party source. This row is the provenance of a judgement made by this project's owner, recorded in review.verdict with a rationale and the evidence it rests on. No external licence applies; the underlying evidence carries its own and is cited per verdict.","cadence":"ad hoc","note":"Tier 95 (spec docs/specs/2026-08-04-review-dashboard.md §6): above the gazette at 90, because a verdict is made looking at the gazette and everything else. Scoped to the item judged, generalisation is what review.rule is for, and a rule needs a human approval. Never used by a loader: the only writer of candidates under this source_id is warehouse/tools/apply_verdicts.py.","precedence":95,"attribution":"Adjudicated by the editor of India, Analyzed against the cited evidence.","status":"registered","grains":[],"indicators":0,"fact_count":0},"37":{"source_id":37,"name":"Government of India (Allocation of Business) Rules, 1961 (Cabinet Secretariat)","url":"https://cabsec.gov.in/allocationofbusinessrules/completeaobrules/","licence":"Government of India work published by the Cabinet Secretariat. Reproduced under the Government Open Data License - India / GoI website content policy for government publications; the rules themselves are statutory text.","cadence":"amended by gazette notification, no fixed schedule","note":"The First Schedule enumerates the Ministries, Departments, Secretariats and Offices of the Union; the Second Schedule allocates business to each. This is the department spine's authority and the only source in this warehouse entitled to say which union ministries and departments exist. NOTE ON FETCHING: cabsec.gov.in serves an incomplete TLS chain, so fetcher.py needs --ca-extra warehouse/certs/letsencrypt-gen-y.pem to reach it (W19, 2026-08-04), verification is never skipped.","precedence":90,"attribution":"Government of India (Allocation of Business) Rules, 1961, as amended (Cabinet Secretariat).","status":"registered","grains":[],"indicators":0,"fact_count":0},"38":{"source_id":38,"name":"Union ministry official websites (department hierarchy)","licence":"Individual Government of India ministry websites; content policies vary per site and are recorded per artifact by URI. Government works, reused for factual enumeration with attribution.","cadence":"continuous, unversioned","note":"Tier 60 = \"publisher's own site\" (024 precedence scale). Used to CORROBORATE and to date what the AoBR enumerates, not to enumerate: a ministry's site is authoritative about itself and silent about the set. Every artifact under this source carries its own ministry's URI, so provenance stays per-page even though the registry row is shared.","precedence":60,"attribution":"The ministries' own websites, as fetched and dated per artifact.","status":"registered","grains":[],"indicators":0,"fact_count":0},"39":{"source_id":39,"name":"Wikipedia (union ministry lineage research)","url":"https://en.wikipedia.org/","licence":"CC BY-SA 4.0. Attribution and share-alike obligations attach to any reuse of the prose; the facts extracted here are not copyrightable but the attribution is recorded regardless.","cadence":"continuous","note":"Tier 40 is BELOW door 1 (60), so this source can never create an entity, law §4, and the W19 acceptance criterion \"Wikipedia-only claims are demonstrably still in the mention pool, not the graph\". It carries the lineage prose: renames, splits, merges and formation dates, which the statutory schedules state only implicitly by their own amendment history.","precedence":40,"attribution":"English Wikipedia, article and revision recorded per artifact.","status":"registered","grains":[],"indicators":0,"fact_count":0},"40":{"source_id":40,"name":"Census 2011 Primary Census Abstract (village)","url":"https://censusindia.gov.in/nada/index.php/catalog/42559","licence":"Government of India, ORGI. Census output is published for public use; no NC and no ShareAlike restriction, which is why this route is preferred over SHRUG (CC BY-NC-SA) wherever both would serve.","cadence":"static","note":"2011-IndiaStateDistSbDistVill-0000.xlsx, 333,801,174 bytes, 660,942 data rows x 94 columns. ARCHIVAL ROUTE: the file was downloaded by the owner and held at data/raw/akhil_download/2011-IndiaStateDistSbDistVill-0000.xlsx; it was registered into raw.artifact from that local copy, with the publisher's catalogue page as the artifact uri and the sha256 pinning the bytes. It was NOT re-fetched over the network -- see the ing.run row for the fetcher call, whose note records the local path.","precedence":80,"attribution":"Census of India 2011, Office of the Registrar General & Census Commissioner, India","publisher":"Office of the Registrar General & Census Commissioner, Government of India","slug":"census-2011-village-pca","status":"loaded","grains":[],"indicators":0,"fact_count":0},"41":{"source_id":41,"name":"MGNREGA district monthly physical & financial progress (MoRD)","url":"https://www.data.gov.in/","licence":"Government Open Data Licence - India (GODL). MoRD/NREGA publishes the scheme's physical and financial progress as open data; attribution required, no NC and no ShareAlike.","cadence":"drip","note":"data/raw/mgnrega_api/, 42 gzipped JSON pages + manifest.jsonl, 415,834 records pulled 2026-08-04T12:02Z by a background script that is NOT in this repository (wiki/raw-inventory.md flags the pulls as un-reproducible from a clean checkout). Each page is registered as its own raw.artifact. PRECEDENCE 60, deliberately below the 80 an official portal earns: data.gov.in showed a \"sandbox environment\" banner on the pull date and no sample has been re-verified against nrega.nic.in. Measures are FY cumulative-to-date, not monthly flows.","precedence":60,"attribution":"Ministry of Rural Development, Government of India (MGNREGA / NREGASoft), via data.gov.in","publisher":"Ministry of Rural Development, Government of India (MGNREGA / NREGASoft)","slug":"mgnrega","status":"loaded","grains":["district"],"indicators":6,"fact_count":385716,"span":["2018-04","2026-04"]},"42":{"source_id":42,"name":"RBI Handbook of Statistics on Indian States (state finances)","url":"https://rbi.org.in/Scripts/AnnualPublications.aspx?head=Handbook%20of%20Statistics%20on%20Indian%20States","licence":"Reserve Bank of India publication. RBI permits reproduction of its published statistics with acknowledgement; no non-commercial and no ShareAlike clause attaches, so unlike SHRUG this source constrains nothing downstream.","cadence":"slow stock","note":"ESTATES23012026AB138FB463474EBFBCC03A8FC878C45A.XLSX, sheet \"Data\", 397,575 data rows x 7 columns, tidy long. ARCHIVAL ROUTE: the file was downloaded by the owner and held at data/raw/akhil_download/; it was registered into raw.artifact from that local copy with the publisher's annual-publications page as the artifact uri and the sha256 pinning the bytes. It was NOT re-fetched over the network -- see the ing.run row for the fetcher call, whose note records the local path. UNIVERSE: 31 States/UTs WITH A LEGISLATURE plus an \"All States/UT\" aggregate. The five spine states absent (Andaman & Nicobar, Chandigarh, Dadra & Nagar Haveli and Daman & Diu, Ladakh, Lakshadweep) present no budget of their own and their absence is correct, not a gap. VALUES ARE NOMINAL RUPEES CRORE, never deflated.","precedence":80,"attribution":"Reserve Bank of India, Handbook of Statistics on Indian States","publisher":"Reserve Bank of India","slug":"rbi-state-finances","status":"loaded","grains":["country","state"],"indicators":355,"fact_count":348154,"span":["1990-1991","2023-2024"]},"43":{"source_id":43,"name":"Udyam MSME registrations (Ministry of MSME)","url":"https://www.data.gov.in/resource/8b68ae56-84cf-4728-a0a6-1be11028dea7","licence":"Government Open Data Licence - India (GODL). The Ministry of MSME publishes the Udyam registration register as open data through data.gov.in; attribution required, no NC and no ShareAlike.","cadence":"drip","note":"data/raw/udyam_api/, 4,700 gzipped JSON pages + manifest.jsonl, 42,629,074 enterprise rows pulled 2026-08-04T11:59Z district by district BY LGD code, by a background script that is NOT in this repository (wiki/raw-inventory.md flags the API pulls as un-reproducible from a clean checkout). Every page is registered as its own raw.artifact through fetcher.py --from-file with this resource page as the uri. PRECEDENCE 60, deliberately below the 80 an official portal earns: data.gov.in showed a \"sandbox environment\" banner around the pull date and no sample has been re-verified against udyamregistration.gov.in. AS-OF SNAPSHOT of a live register, not a period return, a re-pull SUPERSEDES this one at a new period rather than contradicting it. UNIT-LEVEL ROWS ARE PERSONAL DATA AND NEVER LEAVE ing.","precedence":60,"attribution":"Ministry of Micro, Small and Medium Enterprises, Government of India (Udyam Registration Portal), via data.gov.in","publisher":"Ministry of Micro, Small and Medium Enterprises, Government of India","slug":"udyam","status":"loaded","grains":["district"],"indicators":2,"fact_count":3775,"span":["2020","2026-08-04"]},"44":{"source_id":44,"name":"HMIS sub-district monthly health service statistics (MoHFW)","url":"https://www.data.gov.in/resource/0c2d45a3-d0b5-4053-bf9a-e00395319472","licence":"Government Open Data Licence - India (GODL). Published on data.gov.in by the Ministry of Health and Family Welfare as open data; attribution required, no NC and no ShareAlike clause, so nothing downstream is constrained by it.","cadence":"monthly","note":"data/raw/hmis_api/, 3,032 gzipped JSON pages + manifest.jsonl, 26,667,331 records pulled 2026-08-04 by warehouse/pulls/hmis_pull.py (in this repository; the pull is partitioned per LGD district because api.data.gov.in refuses offsets past the Elasticsearch result window). Reconciled to the API's own per-district totals: delta zero. Each page is registered as its own raw.artifact by warehouse/tools/register_hmis_pages.py, with the API request that produced it as the uri and the api-key stripped. Coverage FY2020-21 and FY2021-22 only, 729 of the LGD spine's 796 districts, sub-district grain, 320 indicator codes of which some are SECTION HEADINGS rather than measures. PRECEDENCE 60, deliberately below the 80 an official portal earns: data.gov.in showed a \"sandbox environment\" banner on the pull date and no sample has been re-verified against hmis.mohfw.gov.in.","precedence":60,"attribution":"Ministry of Health and Family Welfare, Government of India (Health Management Information System), via data.gov.in","publisher":"Ministry of Health & Family Welfare, Government of India (HMIS)","slug":"hmis","status":"loaded","grains":[],"indicators":0,"fact_count":0},"45":{"source_id":45,"name":"WikiIAS officer profiles (wikiias.com)","url":"https://wikiias.com/","licence":"NO OPEN LICENCE, and an explicit reservation: the site footer reads \"© 2026 WikiIAS. All rights reserved.\" robots.txt permits crawling (User-agent: * / Allow: /) and the site publishes a sitemap, so the FETCH is permitted; the reservation governs REPUBLICATION. Facts extracted for comparison are not copyrightable and are staged here for that purpose alone. No prose, no page text and no arrangement of theirs may reach any published surface of this project.","cadence":"unstated — the site publishes no update cadence","note":"Aggregator of unstated method and unstated provenance. PRECEDENCE 30, and the reasoning is on the migration (091): the field set is DoPT's Executive Record Sheet schema field-for-field, so this is very probably a re-publication of a DoPT product and NOT an independent observation, agreement with the Civil List must never be counted as two sources agreeing. Below Wikipedia's 40 (no citations, no revision history, no stated method) and far below the IAS Civil List's 60. Crawled 2026-08-07 from sitemap.xml at ~1 request/second with a descriptive User-Agent; 5,639 URLs, one raw.artifact per page.","precedence":30,"attribution":"wikiias.com, as fetched and dated per artifact. Not an official source.","status":"registered","grains":[],"indicators":0,"fact_count":0},"46":{"source_id":46,"name":"IGOD — Integrated Government Online Directory (NIC/MeitY)","url":"https://igod.gov.in","licence":"PENDING — NOT YET GRANTED. Site policy: \"Material featured on this website may be reproduced free of charge after taking proper permission by sending a mail to us.\" No reply held as of 2026-08-10; permission mail scheduled 2026-08-12. This string must not be shortened to a licence name anywhere downstream.","cadence":"continuous / unversioned (the site publishes no edition and no record dates)","note":"The union + state/UT organisation register. Acquired 2026-08-10 to raw+ing under migrations 093 and 095, both of which deliberately cut no source row; this row was added on the owner's direction to allow promotion. NO DATES ANYWHERE in this source: retrieved_at is the artifact fetch time and is the only date it can support, so nothing promoted from igod may carry a valid_from it did not publish. Its ids are Elasticsearch document ids with days of stability evidence and are NEVER canon keys. PRECEDENCE CORRECTED 2026-08-12 (migration 099): filed at 70 by migration 096, which is on neither the settled ladder nor the drift register, and which outranked source 12 (the publisher's own site rung, 60) for no argued reason. igod is a publisher's own site; it now sits on that rung.","precedence":60,"attribution":"Integrated Government Online Directory, National Informatics Centre, MeitY","status":"registered","grains":[],"indicators":0,"fact_count":0},"47":{"source_id":47,"name":"Civil List ↔ IGOD department reconciliation (derived, rule-based)","licence":"DERIVED — no independent licence. Every alias written under this source is a string published by source 12 (IAS Civil List, DoPT) attached to a node published by source 46 (IGOD), so its terms are the STRICTER of those two. Source 46's licence is PENDING — NOT YET GRANTED (migration 096), therefore nothing here may be published either.","cadence":"rebuilt on demand from ing; no publisher and no schedule of its own","note":"A rule set, not a publisher: warehouse/tools/reconcile_civil_list_igod.py matches a parsed (state, department name) pair from an IAS Civil List posting string against the IGOD bodies located_in that same state. Precedence 40 is below promote.py's CREATE_TIER and NAME_FLOOR (both 60), so this source can only ever ADD an std.entity_alias row: it cannot create an entity and cannot rename one. Ambiguous and near matches are NEVER promoted; they are parked in ing.resolver_miss for the review dashboard. No edge is written: merge_entities.py refuses to merge nodes joined by an edge, so an identity edge here would block the owner's merge decision.","precedence":40,"attribution":"Derived by IndiaAnalyzed from DoPT IAS Civil List and NIC/MeitY IGOD","status":"registered","grains":[],"indicators":0,"fact_count":0},"48":{"source_id":48,"name":"District administration web publications (place formation and renaming)","url":"https://<district>.nic.in / https://<district>.gov.in (per artifact)","licence":"VARIES PER SITE, recorded per artifact by URI — there is no single policy and this string must never be shortened to a licence name. NIC-hosted district portals mostly carry the permissive NIC content boilerplate (\"Content owned, updated and maintained by the District Administration\"); some carry the restrictive fork that source 12 (DoPT) took. What is extracted is a formation or renaming DATE and the instrument that carried it — facts, not copyrightable expression. The quoted sentence in each event's note is the evidence for the fact and is held at citation length; no page text from these sites may reach a published surface.","cadence":"continuous / unversioned (district portals publish no edition dates)","note":"The \"About District\" / \"History\" page a district administration publishes about itself. Acquired 2026-08-20 for the 186 districts that the Wikipedia infobox and Wikidata P571 channels could not date. Precedence 60 = source 38's tier for the same reason: the body's own statement about itself, published by government, but a website and not an instrument. Below LGD (source 33, precedence 90), which remains the sole authority on which districts EXIST: this source may date a district and can never mint one.","precedence":60,"attribution":"District Administration (Government of India / respective State Government), per district website","status":"registered","grains":[],"indicators":0,"fact_count":0},"49":{"source_id":49,"name":"Press reports of district formation and renaming","url":"various mastheads, recorded per artifact by URI","licence":"NO OPEN LICENCE AND NONE CLAIMED. Newspaper text is the masthead's copyright. Only the FACT — a date and the instrument it names — is taken, and the quoted sentence stored in an event's note is the citation that makes the fact checkable, held at citation length. No report's prose, headline or arrangement may reach any published surface of this project, and nothing here is republication.","cadence":"event-driven / unversioned","note":"The fallback channel of the 2026-08-20 place-history research: where a district's creation or renaming was reported but no government page and no encyclopedia article states the date. Precedence 40, EQUAL to Wikipedia (source 16) and deliberately not above it, so that a news year disagreeing with an encyclopedia year raises a contradiction rather than overwriting: promote.py requires a STRICTLY higher tier to take a row. Ship plan R1 governs where the press is the only source: the claim lands at 40 and a gazette overwrites it later.","precedence":40,"attribution":"as cited per report","status":"registered","grains":[],"indicators":0,"fact_count":0},"50":{"source_id":50,"name":"Census District Census Handbook, Part XII-A (brief history of the district)","url":"https://censusindia.gov.in/nada/index.php/catalog","licence":"Government of India, Office of the Registrar General & Census Commissioner — published for public use; no explicit open licence is stated on the NADA catalog, so this is recorded as \"government publication, licence not stated\" rather than claimed as open. Do not upgrade this text to GODL without a page that says GODL.","cadence":"decennial","note":"Prose \"Brief History of the District\" section of the DCHB Part XII-A volumes, compiled from the state gazetteers. Reached via the NADA catalog: /api/catalog/search?sk=District+Census+Handbook+<Name>&ps=40 returns JSON rows; keep 2011 + \"Part XII A\"; scrape /catalog/<id> for href=\".*PART_A.*\\.pdf\". The legacy /2011census/dchb/*.pdf paths are 404. The host's TLS chain does not verify for a stdlib client (curl -k or an equivalent is required): that is a fetch quirk of the host, not a reason to trust the bytes less, and the PDF is stored in raw either way. TWO-COLUMN OCR INTERLEAVES: read every candidate against its context.","precedence":70,"attribution":"Census of India 2011, District Census Handbook (Registrar General & Census Commissioner, India)","status":"registered","grains":[],"indicators":0,"fact_count":0},"51":{"source_id":51,"name":"District and State Gazetteers (Imperial Gazetteer of India, provincial and state district gazetteer volumes, digitised)","url":"https://archive.org / https://gazetteers.maharashtra.gov.in (per artifact)","licence":"MIXED AND RECORDED PER ARTIFACT BY URI — this string must never be shortened to a licence name. The Imperial Gazetteer of India and the Nevill District Gazetteers of the United Provinces are pre-1930 government publications and are in the public domain; the scans are served by the Internet Archive and the Digital Library of India, which are libraries and not the publisher. The Maharashtra State Gazetteer volumes are current Government of Maharashtra publications with no explicit open licence stated, so they are recorded as \"government publication, licence not stated\". What is extracted is a formation YEAR and the instrument or event that carried it — facts, not copyrightable expression — and the quoted sentence in each event's note is held at citation length as the evidence for the fact.","cadence":"static / historical","note":"The compiled administrative record of a district, and the document the Census DCHB brief histories (source 50) are summarising. Tier 70, EQUAL to source 50 so that two prose compilations disagreeing raise a contradiction rather than silently overwriting one another. Read the migration header for the five traps this corpus carries; the headquarters-shift and the renamed-district-with-two-dates ones are the expensive pair.","precedence":70,"attribution":"Imperial Gazetteer of India / District Gazetteers of the United Provinces / Maharashtra State Gazetteer, as cited per event","status":"registered","grains":[],"indicators":0,"fact_count":0},"52":{"source_id":52,"name":"Census of India table A-2 (decadal variation in population, 1901-2011)","url":"https://censusindia.gov.in/census.website/data/census-tables","licence":"Government of India, Office of the Registrar General & Census Commissioner. Published on the census website's table catalogue for public use. No explicit open-licence statement appears beside the tables, so this is recorded as \"government publication, licence not stated\" rather than claimed as GODL. Unlike SHRUG it carries no share-alike clause, so nothing downstream inherits an obligation.","cadence":"decennial","note":"One Excel per state, 35 files, ten .xls and twenty-five .xlsx. Telangana is absent and that is correct rather than missing: it did not exist in 2011, so its districts appear inside Andhra Pradesh. The sheet is a REPORT rather than a table: a state or district name appears once and the eleven following rows carry only a year, so the name must be carried down. Codes are 2011 census state and district codes, which the LGD crosswalk already speaks (attrs->>'dtcode11'). The host's TLS chain does not verify for a stdlib client, so curl -k or equivalent is required. Parsed by warehouse/tools/load_census_a2.py.","precedence":90,"attribution":"Census of India 2011, table A-2 (Registrar General & Census Commissioner, India)","publisher":"Office of the Registrar General & Census Commissioner, Government of India","slug":"census-a2","status":"loaded","grains":["district","state"],"indicators":3,"fact_count":22030,"span":["1901","2011"]},"53":{"source_id":53,"name":"SHRUG Census PCA panel 1991/2001/2011 (Development Data Lab)","url":"https://www.devdatalab.org/shrug","licence":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). \"You are free to: Share — copy and redistribute the material in any medium or format; Adapt — remix, transform, and build upon the material. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. NonCommercial — You may not use the material for commercial purposes. ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.\" SHRUG additionally asks that users cite Asher, Lunt, Matsuura and Novosad (2021), \"Development Research at High Geographic Resolution: An Analysis of Night-Lights, Firms, and Poverty in India using the SHRUG Open Data Platform\", World Bank Economic Review 35(4). BOTH THE NC AND THE SA CLAUSE PROPAGATE to anything derived from these numbers, which is why migration 112 preferred the Registrar General's own A-2 tables for the population timeline. Recorded, never a reason to skip the dataset (owner ruling 2026-09-02).","cadence":"decennial","note":"The three census waves re-based by SHRUG onto CONSTANT 2011 district geometry, which is the whole reason to take them from here rather than from the Registrar General: a 1991 district and a 2011 district of the same name are frequently not the same place. Bridge: shrid2 -> (pc11_state, pc11_district) -> dtcode11 (sorted rank of the 640-row 2011 district file) -> dist_lgd via data/crosswalks/districts.json. Validated 640/640 on 2026-06-19, 2011 population within 0.009%. Loaded by warehouse/tools/standardize_shrug_census.py.","precedence":50,"attribution":"Census of India 1991, 2001 and 2011 Primary Census Abstract, via SHRUG (Development Data Lab), CC BY-NC-SA 4.0.","publisher":"Development Data Lab","slug":"shrug","status":"loaded","grains":["district"],"indicators":6,"fact_count":13026,"span":["1991","2011"]},"54":{"source_id":54,"name":"Census of India 2011 table A-1 (number of villages, towns, households, population and area)","url":"https://censusindia.gov.in/nada/index.php/catalog/42526","licence":"NO EXPLICIT LICENCE PUBLISHED. The only rights statement on the source page is the footer of the ORGI Digital Library: \"ORGI Digital Library © ORGI Digital Library, All Rights Reserved.\" The table itself is a Government of India publication of the Office of the Registrar General & Census Commissioner, Ministry of Home Affairs, released for public download (618,853 downloads recorded on the catalogue page on 2026-09-03). Recorded as \"government publication, licence not stated\" rather than claimed as GODL — the same treatment source 52 (table A-2) already has. No share-alike and no non-commercial clause is asserted, so nothing downstream inherits an obligation from it; attribution is ours to give because it is right, not because a licence compels it.","cadence":"decennial","note":"One .xlsx, 20,024 rows, reference id PC11_A01. Geographic granularity is country / state / district / sub-district and every unit appears three times — Total, Rural and Urban — so the sheet fills `std.fact.area` as well as its value. Codes are 2011 CENSUS codes (state 01-35, district 001-640, sub-district 00001-05924), which the spine already speaks: state via attrs->>'stcode11', district via attrs->>'dtcode11', sub-district via attrs->'lgd_via_data_gov_in_api'->'lgd'->>'census2011_code'. AREA IS SURVEY OF INDIA'S AT STATE AND DISTRICT GRAIN AND ORGI'S OWN DIGITISATION AT SUB-DISTRICT GRAIN, by the workbook's note 2; the two pedigrees ride on every fact row's quality_note. Total is NOT the sum of Rural and Urban wherever a footnote says so (Arunachal Pradesh publishes no rural/urban split at all). The host's TLS chain does not verify for a stdlib client, so curl -k or equivalent is required — the same wall source 52 and the DCHB harvest already hit. Loaded by warehouse/tools/load_census_a01_area.py, promoted by warehouse/tools/standardize_census_a01_area.py.","precedence":90,"attribution":"Census of India 2011, table A-1 (Office of the Registrar General & Census Commissioner, India); area figures supplied by Survey of India at state and district level","status":"loaded","grains":["country","district","state"],"indicators":1,"fact_count":1980,"span":["2011","2011"]},"55":{"source_id":55,"name":"Census 2011 village points (ramSeraph indian_admin_boundaries)","url":"https://github.com/ramSeraph/indian_admin_boundaries/releases/tag/census-2011","licence":"CC0 1.0 on the republication (the same terms as the LGD spine already in use, sources 2/17/20/25); the coordinates and the 2011 population are the Office of the Registrar General & Census Commissioner's own census output. No share-alike, no non-commercial clause.","cadence":"occasional","note":"Census_Villages.parquet, 49,694,562 bytes, 645,828 rows: vilcode11, stcode11, dtcode11, sdtcode11, ST_LGD, DT_LGD, SDT_LGD, t_pop2011, Long, Lat, relocated. THE POINT SET FOR THE 103,468 VILLAGES std.entity_point HAD NO ROW FOR: those villages come from the LGD API register, have no polygon in LGD_Villages.parquet and therefore never got a centroid. Joins to the spine on std.entity.attrs->>'vilcode11' -- measured 2026-09-03, 645,828 of 645,828 rows carry a non-zero coordinate and all 104,346 round-2 target villages match one. The file has been on disk since 2026-06-18 and is what scripts/build-district-bundles.py already draws the district-page village dots from; it had no source row until this migration, which is the defect being fixed. Vintage is the CENSUS OF 2011: a village abolished or split since then keeps its 2011 coordinate, so a point is evidence about where the 2011 village was, not about where a 2026 revenue village is.","precedence":80,"attribution":"Census of India 2011, Office of the Registrar General & Census Commissioner, India; republished by ramSeraph/indian_admin_boundaries","status":"registered","grains":[],"indicators":0,"fact_count":0},"56":{"source_id":56,"name":"LGD constituency coverage (PC/AC-wise mapped land regions and wards)","url":"https://lgdirectory.gov.in/downloadDirectory.do (mirrored daily at https://github.com/ramSeraph/opendata/releases/tag/lgd-latest-extra1)","licence":"The MIRROR is released under the Unlicense (public domain). The DATA is Government of India / Local Government Directory, Ministry of Panchayati Raj, which publishes the Download Directory for public use and states no further terms. Recorded as published; no share-alike, no non-commercial clause is asserted.","cadence":"daily (assets are date-stamped; the cut in ing is 01Sep2026)","note":"LGD's \"Report on PC/AC Wise Mapped Landregion/LocalBodies/Ward\": 497,393 rows staged in ing.lgd_constituency_coverage (442,146 Village, 33,931 Ward, 10,613 SubDistrict, 6,438 Localbody, 4,265 District), each Fully or Partly Covered. THIS IS A REGISTER, NOT A GEOMETRY: it is the authority's own statement of which village votes in which constituency, and it is the independent second opinion on every edge geometry drew. Precedence 85 -- above the polygon layer (80) because a register beats a centroid, below the census (90). TWO TRAPS, both measured. (1) Its `ac_code` is LGD-INTERNAL and bridges to our (state_lgd, ac_no) only through ing.lgd_constituency_mapping_urban's ac_eci_code (2,907 of 4,044 ACs on 2026-09-03) or by normalised name within the state (3,758); the union is 3,930 and the two methods conflict on 4, where the ECI code wins. (2) Its J&K rows carry the 2022 delimitation's names while our AC nodes and the polygon layer are pre-2022, so a J&K edge derived from it is written under vintage `jk-2022` and must never be read as agreeing or disagreeing with a pre-2022 geometric edge.","precedence":85,"attribution":"Local Government Directory (lgdirectory.gov.in), Ministry of Panchayati Raj, Government of India; mirrored by ramSeraph/opendata","status":"registered","grains":[],"indicators":0,"fact_count":0},"57":{"source_id":57,"name":"ECI General Election 2024 statistical reports (electors per assembly segment)","url":"https://www.eci.gov.in/eci-backend/public/all_files/GE-2024-statistical-report/","licence":"© Copyright Election Commission of India 2023. NO explicit open-data grant was found on eci.gov.in or old.eci.gov.in (checked 2026-09-02 and again 2026-09-03). Recorded verbatim per the owner ruling of 2026-09-02: a licence is metadata on the source and never a reason to skip a fetch; the restriction applies at DISPLAY. Prefer a data.gov.in GODL-India mirror for publication if one ever answers (its resource page returned 403 twice).","cadence":"event-driven (one publication per general election)","note":"Report 15, \"Assembly Segment-wise Information of Electors\", 15-Assembly-SegmentWise-Information-Electors.xls, 1,415,680 bytes, 4,140 data rows: state, AC name, PC name, general electors (M/F/TG/total), NRI, service, TOTAL ELECTORS, votes polled. NOTE THE FILE NAME: ECI writes \"SegmentWise\" in one word and the 2026-09-02 probe of \"Assembly-Segment-Wise\" 404'd, which is why the acceptance check waited a day. IT IS THE ACCEPTANCE TEST FOR THE PLACE GRAPH, not a fact source: electors-2024 divided by the 2011 census population of the villages linked to an AC should sit near 0.9, and an AC far off that either has a register defect or is peri-urban (its wards carry no village population). The ratio and its flag are written onto the AC entity's attrs; no std.fact row is derived from this file, because AC-grain electors keyed by NAME with no AC number in the sheet is not yet a fact this warehouse can key. Staged in ing.eci_electors_2024 by warehouse/tools/load_eci_results.py --only electors.","precedence":85,"attribution":"Election Commission of India, General Election to Lok Sabha 2024, statistical report 15","status":"registered","grains":[],"indicators":0,"fact_count":0}},"analytics":{"profile":"district-mvp1","inferred_statistics":"withheld","rank_order":"highest_first","precision_decimals":6}}