{
 "meta": {
  "dossier": "nfhs",
  "product": "nfhs",
  "source": "MoSPI / International Institute for Population Sciences (IIPS)",
  "base": "NFHS-5 (2019-21)",
  "frequency": "cross-sectional",
  "unit": "percent",
  "vintage": "2026-08-10",
  "geo": "IND",
  "latestPeriod": "2019-21",
  "releaseDate": null,
  "revisionPolicy": "Survey estimates are final on release. Each round is a cross-section; the two rounds are compared by design but are never chained.",
  "coverage": "NFHS table 14, anaemia among children and adults: All India and 36 states and union territories, total, rural and urban, NFHS-5, 2019-21",
  "table": 14,
  "tableName": "Anaemia among children and adults",
  "round": "NFHS-5, 2019-21",
  "fieldwork": "June 2019 to April 2021, in two phases; the second, begun in January 2020, was interrupted by the pandemic",
  "cut": "Indicator, state, rural or urban",
  "note": "One round of the National Family Health Survey, a cross-section: compare it with the other round side by side, never as a series. Every series is one sub-indicator in one place and sector. Values the fact sheet prints in brackets (an estimate on 25 to 49 unweighted cases) carry flags.caution (28 here). Cells suppressed at source (\"*\", fewer than 25 cases), marked NA or left blank are not baked; meta.omitted counts them.",
  "flagsNote": "caution: the fact sheet prints this estimate in brackets, based on 25 to 49 unweighted cases. inconsistent: the source's total for this place does not lie between its rural and urban figures (flagNote says which).",
  "omitted": {
   "*": 28
  },
  "nfhs4Withheld": [
   {
    "sub": "All women age 15-19 years who are anaemic",
    "kind": "misfiled",
    "evidence": "API 22.7 is NFHS-4's anaemia among men 15-49 (the NFHS-5 report, ch. 10: 23 per cent of men in 2015-16); women 15-19 were 54 per cent"
   }
  ],
  "crosscheck_dhs": [
   {
    "table": 14,
    "sub": "/^All women age 15-49/",
    "round": "nfhs-5",
    "dhs": "AN_ANEM_W_ANY",
    "api": 57.03,
    "dhsValue": 57,
    "agrees": true
   }
  ]
 },
 "dates": [
  "2020-01-01"
 ],
 "series": {
  "children_age_6_59_months_who_are_anaemic_11__all_india__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__all_india__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.12
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "All India",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__all_india__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__all_india__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), All India, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    68.25
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "All India",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__all_india__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__all_india__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), All India, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.22
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "All India",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__andaman_n_islands__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__andaman_n_islands__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Andaman & N. Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.04
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Andaman & N. Islands",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__andaman_n_islands__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__andaman_n_islands__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Andaman & N. Islands, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    33.32
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Andaman & N. Islands",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__andaman_n_islands__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__andaman_n_islands__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Andaman & N. Islands, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    47.83
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Andaman & N. Islands",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__andhra_pradesh__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__andhra_pradesh__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.19
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Andhra Pradesh",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__andhra_pradesh__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__andhra_pradesh__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Andhra Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.03
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Andhra Pradesh",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__andhra_pradesh__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__andhra_pradesh__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Andhra Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.73
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Andhra Pradesh",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__arunachal_pradesh__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__arunachal_pradesh__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.56
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Arunachal Pradesh",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__arunachal_pradesh__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__arunachal_pradesh__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Arunachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.13
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Arunachal Pradesh",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__arunachal_pradesh__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__arunachal_pradesh__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Arunachal Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.84
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Arunachal Pradesh",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__assam__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__assam__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    68.38
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Assam",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__assam__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__assam__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Assam, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    68.64
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Assam",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__assam__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__assam__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Assam, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.35
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Assam",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__bihar__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__bihar__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    69.43
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Bihar",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__bihar__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__bihar__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Bihar, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    69.69
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Bihar",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__bihar__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__bihar__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Bihar, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.89
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Bihar",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__chandigarh__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__chandigarh__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.58
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Chandigarh",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__chandigarh__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__chandigarh__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Chandigarh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.97
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Chandigarh",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__chhattisgarh__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__chhattisgarh__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.24
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Chhattisgarh",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__chhattisgarh__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__chhattisgarh__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Chhattisgarh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.16
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Chhattisgarh",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__chhattisgarh__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__chhattisgarh__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Chhattisgarh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    71.08
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Chhattisgarh",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__dadra_nagar_haveli_and_daman_diu__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__dadra_nagar_haveli_and_daman_diu__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Dadra & Nagar Haveli and Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    75.8
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__dadra_nagar_haveli_and_daman_diu__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__dadra_nagar_haveli_and_daman_diu__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Dadra & Nagar Haveli and Daman & Diu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    76.84
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__dadra_nagar_haveli_and_daman_diu__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__dadra_nagar_haveli_and_daman_diu__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Dadra & Nagar Haveli and Daman & Diu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    75
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__delhi__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__delhi__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    69.17
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Delhi",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__delhi__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__delhi__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Delhi, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    81.65
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Delhi",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__delhi__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__delhi__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Delhi, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    68.67
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Delhi",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__goa__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__goa__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.2
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Goa",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__goa__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__goa__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Goa, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.09
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Goa",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__goa__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__goa__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Goa, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.28
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Goa",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__gujarat__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__gujarat__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    79.69
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Gujarat",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__gujarat__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__gujarat__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Gujarat, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    81.18
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Gujarat",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__gujarat__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__gujarat__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Gujarat, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    77.58
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Gujarat",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__haryana__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__haryana__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    70.43
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Haryana",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__haryana__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__haryana__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Haryana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    71.46
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Haryana",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__haryana__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__haryana__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Haryana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    68.07
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Haryana",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__himachal_pradesh__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__himachal_pradesh__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.35
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Himachal Pradesh",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__himachal_pradesh__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__himachal_pradesh__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Himachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.97
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Himachal Pradesh",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__himachal_pradesh__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__himachal_pradesh__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Himachal Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.17
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Himachal Pradesh",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__jammu_kashmir__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__jammu_kashmir__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    72.69
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Jammu & Kashmir",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__jammu_kashmir__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__jammu_kashmir__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Jammu & Kashmir, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    73.53
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Jammu & Kashmir",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__jammu_kashmir__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__jammu_kashmir__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Jammu & Kashmir, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    70.06
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Jammu & Kashmir",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__jharkhand__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__jharkhand__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.45
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Jharkhand",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__jharkhand__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__jharkhand__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Jharkhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.91
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Jharkhand",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__jharkhand__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__jharkhand__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Jharkhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.46
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Jharkhand",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__karnataka__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__karnataka__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.52
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Karnataka",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__karnataka__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__karnataka__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Karnataka, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.11
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Karnataka",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__karnataka__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__karnataka__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Karnataka, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.81
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Karnataka",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__kerala__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__kerala__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    39.4
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Kerala",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__kerala__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__kerala__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Kerala, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    39.83
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Kerala",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__kerala__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__kerala__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Kerala, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    38.92
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Kerala",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__ladakh__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__ladakh__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Ladakh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    92.46
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Ladakh",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__ladakh__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__ladakh__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Ladakh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    95.05
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Ladakh",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__ladakh__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__ladakh__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Ladakh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    84.05
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Ladakh",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__lakshadweep__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__lakshadweep__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    43.08
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Lakshadweep",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__lakshadweep__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__lakshadweep__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Lakshadweep, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    36.05
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Lakshadweep",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__lakshadweep__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__lakshadweep__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Lakshadweep, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.54
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Lakshadweep",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__madhya_pradesh__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__madhya_pradesh__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    72.65
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Madhya Pradesh",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__madhya_pradesh__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__madhya_pradesh__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Madhya Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    72.7
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Madhya Pradesh",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__madhya_pradesh__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__madhya_pradesh__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Madhya Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    72.48
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Madhya Pradesh",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__maharashtra__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__maharashtra__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    68.9
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Maharashtra",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__maharashtra__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__maharashtra__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Maharashtra, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    70.68
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Maharashtra",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__maharashtra__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__maharashtra__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Maharashtra, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.33
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Maharashtra",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__manipur__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__manipur__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.77
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Manipur",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__manipur__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__manipur__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Manipur, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.2
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Manipur",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__manipur__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__manipur__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Manipur, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    43.95
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Manipur",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__meghalaya__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__meghalaya__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.07
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Meghalaya",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__meghalaya__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__meghalaya__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Meghalaya, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    46.02
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Meghalaya",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__meghalaya__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__meghalaya__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Meghalaya, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    38.8
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Meghalaya",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__mizoram__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__mizoram__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    46.39
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Mizoram",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__mizoram__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__mizoram__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Mizoram, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    49.55
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Mizoram",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__mizoram__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__mizoram__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Mizoram, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.78
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Mizoram",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__nagaland__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__nagaland__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.74
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Nagaland",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__nagaland__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__nagaland__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Nagaland, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    41.44
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Nagaland",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__nagaland__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__nagaland__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Nagaland, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    46.44
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Nagaland",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__odisha__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__odisha__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.24
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Odisha",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__odisha__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__odisha__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Odisha, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.61
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Odisha",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__odisha__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__odisha__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Odisha, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.16
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Odisha",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__puduchery__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__puduchery__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Puduchery",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.02
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Puduchery",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__puduchery__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__puduchery__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Puduchery, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.79
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Puduchery",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__puduchery__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__puduchery__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Puduchery, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.3
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Puduchery",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__punjab__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__punjab__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    71.07
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Punjab",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__punjab__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__punjab__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Punjab, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    71.12
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Punjab",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__punjab__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__punjab__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Punjab, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    70.97
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Punjab",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__rajasthan__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__rajasthan__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    71.48
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Rajasthan",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__rajasthan__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__rajasthan__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Rajasthan, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    72.35
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Rajasthan",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__rajasthan__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__rajasthan__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Rajasthan, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    68.27
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Rajasthan",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__sikkim__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__sikkim__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.43
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Sikkim",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__sikkim__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__sikkim__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Sikkim, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.05
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Sikkim",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__sikkim__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__sikkim__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Sikkim, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.76
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Sikkim",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__tamil_nadu__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__tamil_nadu__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.43
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Tamil Nadu",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__tamil_nadu__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__tamil_nadu__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Tamil Nadu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.37
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Tamil Nadu",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__tamil_nadu__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__tamil_nadu__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Tamil Nadu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.67
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Tamil Nadu",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__telangana__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__telangana__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    70.02
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Telangana",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__telangana__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__telangana__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Telangana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    72.82
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Telangana",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__telangana__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__telangana__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Telangana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.74
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Telangana",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__tripura__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__tripura__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.25
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Tripura",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__tripura__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__tripura__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Tripura, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.46
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Tripura",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__tripura__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__tripura__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Tripura, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.31
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Tripura",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__uttar_pradesh__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__uttar_pradesh__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.42
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Uttar Pradesh",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__uttar_pradesh__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__uttar_pradesh__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Uttar Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.74
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Uttar Pradesh",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__uttar_pradesh__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__uttar_pradesh__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Uttar Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.26
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Uttar Pradesh",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__uttarakhand__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__uttarakhand__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.8
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Uttarakhand",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__uttarakhand__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__uttarakhand__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Uttarakhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.62
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Uttarakhand",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__uttarakhand__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__uttarakhand__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), Uttarakhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.79
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "Uttarakhand",
   "sector": "urban"
  },
  "children_age_6_59_months_who_are_anaemic_11__west_bengal__total": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__west_bengal__total",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    68.99
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "West Bengal",
   "sector": "total"
  },
  "children_age_6_59_months_who_are_anaemic_11__west_bengal__rural": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__west_bengal__rural",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), West Bengal, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    71.28
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "West Bengal",
   "sector": "rural"
  },
  "children_age_6_59_months_who_are_anaemic_11__west_bengal__urban": {
   "name": "nfhs5_t14_children_age_6_59_months_who_are_anaemic_11__west_bengal__urban",
   "label": "Children age 6-59 months who are anaemic (<11.0 g/dl), West Bengal, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.97
   ],
   "group": "Children age 6-59 months who are anaemic (<11.0 g/dl)",
   "sub": "children_age_6_59_months_who_are_anaemic_11",
   "geo": "West Bengal",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__all_india__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__all_india__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.22
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "All India",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__all_india__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__all_india__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), All India, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.69
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "All India",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__all_india__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__all_india__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), All India, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.06
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "All India",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__andaman_n_islands__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__andaman_n_islands__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Andaman & N. Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.55
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Andaman & N. Islands",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__andaman_n_islands__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__andaman_n_islands__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Andaman & N. Islands, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.68
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Andaman & N. Islands",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__andaman_n_islands__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__andaman_n_islands__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Andaman & N. Islands, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.36
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Andaman & N. Islands",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__andhra_pradesh__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__andhra_pradesh__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.99
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Andhra Pradesh",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__andhra_pradesh__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__andhra_pradesh__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Andhra Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.52
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Andhra Pradesh",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__andhra_pradesh__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__andhra_pradesh__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Andhra Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.82
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Andhra Pradesh",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__arunachal_pradesh__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__arunachal_pradesh__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.82
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Arunachal Pradesh",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__arunachal_pradesh__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__arunachal_pradesh__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Arunachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    41.57
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Arunachal Pradesh",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__arunachal_pradesh__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__arunachal_pradesh__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Arunachal Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    37
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Arunachal Pradesh",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__assam__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__assam__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.35
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Assam",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__assam__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__assam__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Assam, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.41
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Assam",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__assam__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__assam__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Assam, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.03
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Assam",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__bihar__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__bihar__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.55
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Bihar",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__bihar__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__bihar__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Bihar, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.08
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Bihar",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__bihar__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__bihar__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Bihar, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.99
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Bihar",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__chandigarh__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__chandigarh__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.09
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Chandigarh",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__chandigarh__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__chandigarh__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Chandigarh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.08
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Chandigarh",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__chhattisgarh__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__chhattisgarh__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.17
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Chhattisgarh",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__chhattisgarh__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__chhattisgarh__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Chhattisgarh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.46
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Chhattisgarh",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__chhattisgarh__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__chhattisgarh__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Chhattisgarh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.08
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Chhattisgarh",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__dadra_nagar_haveli_and_daman_diu__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__dadra_nagar_haveli_and_daman_diu__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Dadra & Nagar Haveli and Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.58
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__dadra_nagar_haveli_and_daman_diu__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__dadra_nagar_haveli_and_daman_diu__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Dadra & Nagar Haveli and Daman & Diu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.52
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__dadra_nagar_haveli_and_daman_diu__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__dadra_nagar_haveli_and_daman_diu__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Dadra & Nagar Haveli and Daman & Diu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.43
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__delhi__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__delhi__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.15
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Delhi",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__delhi__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__delhi__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Delhi, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.65
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Delhi",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__delhi__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__delhi__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Delhi, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    49.91
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Delhi",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__goa__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__goa__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    38.9
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Goa",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__goa__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__goa__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Goa, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    37.46
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Goa",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__goa__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__goa__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Goa, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    39.89
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Goa",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__gujarat__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__gujarat__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.06
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Gujarat",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__gujarat__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__gujarat__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Gujarat, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.68
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Gujarat",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__gujarat__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__gujarat__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Gujarat, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.44
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Gujarat",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__haryana__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__haryana__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.57
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Haryana",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__haryana__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__haryana__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Haryana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.1
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Haryana",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__haryana__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__haryana__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Haryana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.49
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Haryana",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__himachal_pradesh__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__himachal_pradesh__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.35
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Himachal Pradesh",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__himachal_pradesh__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__himachal_pradesh__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Himachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.61
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Himachal Pradesh",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__himachal_pradesh__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__himachal_pradesh__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Himachal Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.62
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Himachal Pradesh",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__jammu_kashmir__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__jammu_kashmir__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.25
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Jammu & Kashmir",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__jammu_kashmir__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__jammu_kashmir__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Jammu & Kashmir, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    68.96
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Jammu & Kashmir",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__jammu_kashmir__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__jammu_kashmir__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Jammu & Kashmir, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.5
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Jammu & Kashmir",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__jharkhand__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__jharkhand__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.67
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Jharkhand",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__jharkhand__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__jharkhand__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Jharkhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.01
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Jharkhand",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__jharkhand__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__jharkhand__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Jharkhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.56
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Jharkhand",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__karnataka__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__karnataka__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    47.83
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Karnataka",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__karnataka__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__karnataka__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Karnataka, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.25
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Karnataka",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__karnataka__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__karnataka__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Karnataka, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.12
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Karnataka",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__kerala__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__kerala__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    36.51
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Kerala",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__kerala__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__kerala__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Kerala, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    36.06
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Kerala",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__kerala__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__kerala__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Kerala, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    37.01
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Kerala",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__ladakh__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__ladakh__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Ladakh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    93.67
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Ladakh",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__ladakh__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__ladakh__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Ladakh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    94.3
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Ladakh",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__ladakh__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__ladakh__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Ladakh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    90.96
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Ladakh",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__lakshadweep__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__lakshadweep__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    25.98
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Lakshadweep",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__lakshadweep__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__lakshadweep__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Lakshadweep, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    24.05
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Lakshadweep",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__lakshadweep__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__lakshadweep__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Lakshadweep, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    26.54
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Lakshadweep",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__madhya_pradesh__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__madhya_pradesh__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.73
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Madhya Pradesh",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__madhya_pradesh__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__madhya_pradesh__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Madhya Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.86
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Madhya Pradesh",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__madhya_pradesh__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__madhya_pradesh__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Madhya Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.69
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Madhya Pradesh",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__maharashtra__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__maharashtra__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.53
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Maharashtra",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__maharashtra__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__maharashtra__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Maharashtra, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.42
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Maharashtra",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__maharashtra__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__maharashtra__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Maharashtra, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.26
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Maharashtra",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__manipur__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__manipur__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.3
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Manipur",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__manipur__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__manipur__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Manipur, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    28.58
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Manipur",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__manipur__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__manipur__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Manipur, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.46
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Manipur",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__meghalaya__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__meghalaya__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.41
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Meghalaya",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__meghalaya__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__meghalaya__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Meghalaya, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.94
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Meghalaya",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__meghalaya__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__meghalaya__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Meghalaya, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.42
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Meghalaya",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__mizoram__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__mizoram__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.8
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Mizoram",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__mizoram__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__mizoram__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Mizoram, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.08
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Mizoram",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__mizoram__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__mizoram__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Mizoram, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.77
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Mizoram",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__nagaland__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__nagaland__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.29
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Nagaland",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__nagaland__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__nagaland__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Nagaland, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.26
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Nagaland",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__nagaland__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__nagaland__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Nagaland, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.51
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Nagaland",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__odisha__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__odisha__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.36
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Odisha",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__odisha__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__odisha__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Odisha, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.97
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Odisha",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__odisha__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__odisha__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Odisha, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.57
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Odisha",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__puduchery__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__puduchery__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Puduchery",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.54
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Puduchery",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__puduchery__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__puduchery__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Puduchery, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.03
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Puduchery",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__puduchery__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__puduchery__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Puduchery, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.95
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Puduchery",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__punjab__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__punjab__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.84
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Punjab",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__punjab__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__punjab__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Punjab, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.58
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Punjab",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__punjab__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__punjab__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Punjab, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.28
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Punjab",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__rajasthan__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__rajasthan__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.67
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Rajasthan",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__rajasthan__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__rajasthan__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Rajasthan, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.08
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Rajasthan",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__rajasthan__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__rajasthan__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Rajasthan, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.21
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Rajasthan",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__sikkim__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__sikkim__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.07
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Sikkim",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__sikkim__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__sikkim__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Sikkim, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.01
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Sikkim",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__sikkim__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__sikkim__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Sikkim, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.17
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Sikkim",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__tamil_nadu__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__tamil_nadu__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.56
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Tamil Nadu",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__tamil_nadu__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__tamil_nadu__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Tamil Nadu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.38
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Tamil Nadu",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__tamil_nadu__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__tamil_nadu__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Tamil Nadu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.5
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Tamil Nadu",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__telangana__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__telangana__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.77
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Telangana",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__telangana__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__telangana__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Telangana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.05
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Telangana",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__telangana__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__telangana__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Telangana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.35
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Telangana",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__tripura__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__tripura__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.36
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Tripura",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__tripura__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__tripura__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Tripura, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.83
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Tripura",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__tripura__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__tripura__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Tripura, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.17
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Tripura",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__uttar_pradesh__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__uttar_pradesh__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.62
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Uttar Pradesh",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__uttar_pradesh__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__uttar_pradesh__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Uttar Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.65
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Uttar Pradesh",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__uttar_pradesh__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__uttar_pradesh__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Uttar Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.5
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Uttar Pradesh",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__uttarakhand__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__uttarakhand__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.42
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Uttarakhand",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__uttarakhand__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__uttarakhand__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Uttarakhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.98
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Uttarakhand",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__uttarakhand__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__uttarakhand__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), Uttarakhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.61
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "Uttarakhand",
   "sector": "urban"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__west_bengal__total": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__west_bengal__total",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    71.68
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "West Bengal",
   "sector": "total"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__west_bengal__rural": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__west_bengal__rural",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), West Bengal, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    74.8
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "West Bengal",
   "sector": "rural"
  },
  "non_pregnant_women_age_15_49_years_who_are_a__west_bengal__urban": {
   "name": "nfhs5_t14_non_pregnant_women_age_15_49_years_who_are_a__west_bengal__urban",
   "label": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl), West Bengal, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.19
   ],
   "group": "Non-pregnant women age 15-49 years who are anaemic (<12.0 g/dl)",
   "sub": "non_pregnant_women_age_15_49_years_who_are_a",
   "geo": "West Bengal",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__all_india__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__all_india__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.15
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "All India",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__all_india__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__all_india__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), All India, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.31
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "All India",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__all_india__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__all_india__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), All India, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.72
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "All India",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__andaman_n_islands__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__andaman_n_islands__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Andaman & N. Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.66
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Andaman & N. Islands",
   "sector": "total",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "pregnant_women_age_15_49_years_who_are_anaem__andaman_n_islands__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__andaman_n_islands__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Andaman & N. Islands, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.54
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Andaman & N. Islands",
   "sector": "rural",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "pregnant_women_age_15_49_years_who_are_anaem__andhra_pradesh__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__andhra_pradesh__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.71
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Andhra Pradesh",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__andhra_pradesh__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__andhra_pradesh__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Andhra Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.7
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Andhra Pradesh",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__andhra_pradesh__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__andhra_pradesh__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Andhra Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.19
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Andhra Pradesh",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__arunachal_pradesh__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__arunachal_pradesh__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.86
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Arunachal Pradesh",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__arunachal_pradesh__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__arunachal_pradesh__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Arunachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    28.64
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Arunachal Pradesh",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__arunachal_pradesh__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__arunachal_pradesh__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Arunachal Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    23.39
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Arunachal Pradesh",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__assam__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__assam__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.21
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Assam",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__assam__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__assam__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Assam, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.9
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Assam",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__assam__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__assam__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Assam, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    41.44
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Assam",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__bihar__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__bihar__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.08
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Bihar",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__bihar__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__bihar__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Bihar, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.88
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Bihar",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__bihar__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__bihar__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Bihar, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.1
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Bihar",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__chhattisgarh__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__chhattisgarh__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.79
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Chhattisgarh",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__chhattisgarh__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__chhattisgarh__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Chhattisgarh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.75
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Chhattisgarh",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__chhattisgarh__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__chhattisgarh__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Chhattisgarh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    38.76
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Chhattisgarh",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__dadra_nagar_haveli_and_daman_diu__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__dadra_nagar_haveli_and_daman_diu__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Dadra & Nagar Haveli and Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.66
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__dadra_nagar_haveli_and_daman_diu__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__dadra_nagar_haveli_and_daman_diu__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Dadra & Nagar Haveli and Daman & Diu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.4
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "rural",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "pregnant_women_age_15_49_years_who_are_anaem__dadra_nagar_haveli_and_daman_diu__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__dadra_nagar_haveli_and_daman_diu__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Dadra & Nagar Haveli and Daman & Diu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.06
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "urban",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "pregnant_women_age_15_49_years_who_are_anaem__delhi__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__delhi__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.18
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Delhi",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__delhi__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__delhi__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Delhi, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.24
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Delhi",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__goa__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__goa__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.99
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Goa",
   "sector": "total",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "pregnant_women_age_15_49_years_who_are_anaem__goa__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__goa__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Goa, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    46.1
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Goa",
   "sector": "urban",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "pregnant_women_age_15_49_years_who_are_anaem__gujarat__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__gujarat__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.55
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Gujarat",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__gujarat__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__gujarat__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Gujarat, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.44
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Gujarat",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__gujarat__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__gujarat__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Gujarat, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.59
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Gujarat",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__haryana__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__haryana__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.45
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Haryana",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__haryana__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__haryana__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Haryana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.22
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Haryana",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__haryana__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__haryana__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Haryana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.64
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Haryana",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__himachal_pradesh__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__himachal_pradesh__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.19
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Himachal Pradesh",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__himachal_pradesh__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__himachal_pradesh__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Himachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    43.93
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Himachal Pradesh",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__jammu_kashmir__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__jammu_kashmir__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.11
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Jammu & Kashmir",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__jammu_kashmir__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__jammu_kashmir__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Jammu & Kashmir, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.12
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Jammu & Kashmir",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__jammu_kashmir__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__jammu_kashmir__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Jammu & Kashmir, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.07
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Jammu & Kashmir",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__jharkhand__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__jharkhand__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.81
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Jharkhand",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__jharkhand__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__jharkhand__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Jharkhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.19
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Jharkhand",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__jharkhand__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__jharkhand__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Jharkhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.47
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Jharkhand",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__karnataka__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__karnataka__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.73
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Karnataka",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__karnataka__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__karnataka__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Karnataka, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.62
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Karnataka",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__karnataka__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__karnataka__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Karnataka, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    37.33
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Karnataka",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__kerala__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__kerala__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.42
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Kerala",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__kerala__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__kerala__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Kerala, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.14
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Kerala",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__kerala__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__kerala__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Kerala, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    35.44
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Kerala",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__ladakh__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__ladakh__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Ladakh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    78.07
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Ladakh",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__ladakh__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__ladakh__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Ladakh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    80.84
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Ladakh",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__ladakh__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__ladakh__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Ladakh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.52
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Ladakh",
   "sector": "urban",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "pregnant_women_age_15_49_years_who_are_anaem__lakshadweep__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__lakshadweep__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    20.9
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Lakshadweep",
   "sector": "total",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "pregnant_women_age_15_49_years_who_are_anaem__lakshadweep__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__lakshadweep__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Lakshadweep, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.3
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Lakshadweep",
   "sector": "urban",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "pregnant_women_age_15_49_years_who_are_anaem__madhya_pradesh__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__madhya_pradesh__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.85
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Madhya Pradesh",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__madhya_pradesh__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__madhya_pradesh__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Madhya Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.91
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Madhya Pradesh",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__madhya_pradesh__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__madhya_pradesh__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Madhya Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.08
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Madhya Pradesh",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__maharashtra__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__maharashtra__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.65
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Maharashtra",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__maharashtra__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__maharashtra__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Maharashtra, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    46.54
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Maharashtra",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__maharashtra__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__maharashtra__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Maharashtra, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.22
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Maharashtra",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__manipur__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__manipur__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    32.37
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Manipur",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__manipur__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__manipur__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Manipur, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    32.69
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Manipur",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__manipur__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__manipur__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Manipur, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.65
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Manipur",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__meghalaya__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__meghalaya__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.98
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Meghalaya",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__meghalaya__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__meghalaya__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Meghalaya, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.93
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Meghalaya",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__meghalaya__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__meghalaya__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Meghalaya, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.16
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Meghalaya",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__mizoram__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__mizoram__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Mizoram",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__mizoram__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__mizoram__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Mizoram, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    35.92
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Mizoram",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__mizoram__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__mizoram__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Mizoram, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.88
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Mizoram",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__nagaland__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__nagaland__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.15
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Nagaland",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__nagaland__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__nagaland__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Nagaland, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.11
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Nagaland",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__nagaland__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__nagaland__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Nagaland, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.27
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Nagaland",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__odisha__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__odisha__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.81
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Odisha",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__odisha__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__odisha__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Odisha, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.16
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Odisha",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__odisha__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__odisha__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Odisha, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.49
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Odisha",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__puduchery__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__puduchery__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Puduchery",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.53
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Puduchery",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__puduchery__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__puduchery__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Puduchery, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    35.2
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Puduchery",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__punjab__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__punjab__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.73
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Punjab",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__punjab__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__punjab__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Punjab, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.38
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Punjab",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__punjab__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__punjab__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Punjab, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    46.15
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Punjab",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__rajasthan__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__rajasthan__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    46.31
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Rajasthan",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__rajasthan__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__rajasthan__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Rajasthan, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    47.54
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Rajasthan",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__rajasthan__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__rajasthan__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Rajasthan, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    41.36
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Rajasthan",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__sikkim__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__sikkim__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.73
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Sikkim",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__sikkim__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__sikkim__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Sikkim, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.02
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Sikkim",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__tamil_nadu__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__tamil_nadu__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    48.25
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Tamil Nadu",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__tamil_nadu__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__tamil_nadu__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Tamil Nadu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.12
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Tamil Nadu",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__tamil_nadu__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__tamil_nadu__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Tamil Nadu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.6
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Tamil Nadu",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__telangana__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__telangana__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.17
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Telangana",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__telangana__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__telangana__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Telangana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.38
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Telangana",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__telangana__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__telangana__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Telangana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.4
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Telangana",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__tripura__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__tripura__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.5
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Tripura",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__tripura__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__tripura__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Tripura, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.3
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Tripura",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__tripura__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__tripura__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Tripura, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.08
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Tripura",
   "sector": "urban",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "pregnant_women_age_15_49_years_who_are_anaem__uttar_pradesh__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__uttar_pradesh__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.93
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Uttar Pradesh",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__uttar_pradesh__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__uttar_pradesh__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Uttar Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    47.92
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Uttar Pradesh",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__uttar_pradesh__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__uttar_pradesh__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Uttar Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    37.09
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Uttar Pradesh",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__uttarakhand__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__uttarakhand__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    46.37
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Uttarakhand",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__uttarakhand__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__uttarakhand__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Uttarakhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.3
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Uttarakhand",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__uttarakhand__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__uttarakhand__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), Uttarakhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.9
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "Uttarakhand",
   "sector": "urban"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__west_bengal__total": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__west_bengal__total",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.26
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "West Bengal",
   "sector": "total"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__west_bengal__rural": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__west_bengal__rural",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), West Bengal, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.99
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "West Bengal",
   "sector": "rural"
  },
  "pregnant_women_age_15_49_years_who_are_anaem__west_bengal__urban": {
   "name": "nfhs5_t14_pregnant_women_age_15_49_years_who_are_anaem__west_bengal__urban",
   "label": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl), West Bengal, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.3
   ],
   "group": "Pregnant women age 15-49 years who are anaemic (<11.0 g/dl)",
   "sub": "pregnant_women_age_15_49_years_who_are_anaem",
   "geo": "West Bengal",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__all_india__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__all_india__total",
   "label": "All women age 15-49 years who are anaemic, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.03
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "All India",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__all_india__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__all_india__rural",
   "label": "All women age 15-49 years who are anaemic, All India, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.51
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "All India",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__all_india__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__all_india__urban",
   "label": "All women age 15-49 years who are anaemic, All India, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.81
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "All India",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__andaman_n_islands__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__andaman_n_islands__total",
   "label": "All women age 15-49 years who are anaemic, Andaman & N. Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.48
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Andaman & N. Islands",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__andaman_n_islands__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__andaman_n_islands__rural",
   "label": "All women age 15-49 years who are anaemic, Andaman & N. Islands, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.64
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Andaman & N. Islands",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__andaman_n_islands__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__andaman_n_islands__urban",
   "label": "All women age 15-49 years who are anaemic, Andaman & N. Islands, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.24
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Andaman & N. Islands",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__andhra_pradesh__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__andhra_pradesh__total",
   "label": "All women age 15-49 years who are anaemic, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.83
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Andhra Pradesh",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__andhra_pradesh__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__andhra_pradesh__rural",
   "label": "All women age 15-49 years who are anaemic, Andhra Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.31
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Andhra Pradesh",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__andhra_pradesh__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__andhra_pradesh__urban",
   "label": "All women age 15-49 years who are anaemic, Andhra Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.77
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Andhra Pradesh",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__arunachal_pradesh__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__arunachal_pradesh__total",
   "label": "All women age 15-49 years who are anaemic, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.27
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Arunachal Pradesh",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__arunachal_pradesh__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__arunachal_pradesh__rural",
   "label": "All women age 15-49 years who are anaemic, Arunachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    41.01
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Arunachal Pradesh",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__arunachal_pradesh__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__arunachal_pradesh__urban",
   "label": "All women age 15-49 years who are anaemic, Arunachal Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    36.48
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Arunachal Pradesh",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__assam__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__assam__total",
   "label": "All women age 15-49 years who are anaemic, Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.86
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Assam",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__assam__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__assam__rural",
   "label": "All women age 15-49 years who are anaemic, Assam, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.96
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Assam",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__assam__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__assam__urban",
   "label": "All women age 15-49 years who are anaemic, Assam, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.23
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Assam",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__bihar__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__bihar__total",
   "label": "All women age 15-49 years who are anaemic, Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.52
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Bihar",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__bihar__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__bihar__rural",
   "label": "All women age 15-49 years who are anaemic, Bihar, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.14
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Bihar",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__bihar__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__bihar__urban",
   "label": "All women age 15-49 years who are anaemic, Bihar, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.58
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Bihar",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__chandigarh__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__chandigarh__total",
   "label": "All women age 15-49 years who are anaemic, Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.3
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Chandigarh",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__chandigarh__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__chandigarh__rural",
   "label": "All women age 15-49 years who are anaemic, Chandigarh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Chandigarh",
   "sector": "rural",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "all_women_age_15_49_years_who_are_anaemic__chandigarh__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__chandigarh__urban",
   "label": "All women age 15-49 years who are anaemic, Chandigarh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.25
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Chandigarh",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__chhattisgarh__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__chhattisgarh__total",
   "label": "All women age 15-49 years who are anaemic, Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.82
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Chhattisgarh",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__chhattisgarh__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__chhattisgarh__rural",
   "label": "All women age 15-49 years who are anaemic, Chhattisgarh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.15
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Chhattisgarh",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__chhattisgarh__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__chhattisgarh__urban",
   "label": "All women age 15-49 years who are anaemic, Chhattisgarh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.54
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Chhattisgarh",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__dadra_nagar_haveli_and_daman_diu__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__dadra_nagar_haveli_and_daman_diu__total",
   "label": "All women age 15-49 years who are anaemic, Dadra & Nagar Haveli and Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.51
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__dadra_nagar_haveli_and_daman_diu__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__dadra_nagar_haveli_and_daman_diu__rural",
   "label": "All women age 15-49 years who are anaemic, Dadra & Nagar Haveli and Daman & Diu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.36
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__dadra_nagar_haveli_and_daman_diu__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__dadra_nagar_haveli_and_daman_diu__urban",
   "label": "All women age 15-49 years who are anaemic, Dadra & Nagar Haveli and Daman & Diu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.45
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__delhi__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__delhi__total",
   "label": "All women age 15-49 years who are anaemic, Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    49.91
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Delhi",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__delhi__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__delhi__rural",
   "label": "All women age 15-49 years who are anaemic, Delhi, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.62
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Delhi",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__delhi__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__delhi__urban",
   "label": "All women age 15-49 years who are anaemic, Delhi, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    49.69
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Delhi",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__goa__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__goa__total",
   "label": "All women age 15-49 years who are anaemic, Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    38.95
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Goa",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__goa__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__goa__rural",
   "label": "All women age 15-49 years who are anaemic, Goa, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    37.36
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Goa",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__goa__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__goa__urban",
   "label": "All women age 15-49 years who are anaemic, Goa, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.03
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Goa",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__gujarat__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__gujarat__total",
   "label": "All women age 15-49 years who are anaemic, Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.98
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Gujarat",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__gujarat__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__gujarat__rural",
   "label": "All women age 15-49 years who are anaemic, Gujarat, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.63
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Gujarat",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__gujarat__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__gujarat__urban",
   "label": "All women age 15-49 years who are anaemic, Gujarat, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.26
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Gujarat",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__haryana__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__haryana__total",
   "label": "All women age 15-49 years who are anaemic, Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.41
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Haryana",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__haryana__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__haryana__rural",
   "label": "All women age 15-49 years who are anaemic, Haryana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.9
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Haryana",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__haryana__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__haryana__urban",
   "label": "All women age 15-49 years who are anaemic, Haryana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.39
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Haryana",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__himachal_pradesh__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__himachal_pradesh__total",
   "label": "All women age 15-49 years who are anaemic, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.02
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Himachal Pradesh",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__himachal_pradesh__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__himachal_pradesh__rural",
   "label": "All women age 15-49 years who are anaemic, Himachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.33
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Himachal Pradesh",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__himachal_pradesh__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__himachal_pradesh__urban",
   "label": "All women age 15-49 years who are anaemic, Himachal Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.02
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Himachal Pradesh",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__jammu_kashmir__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__jammu_kashmir__total",
   "label": "All women age 15-49 years who are anaemic, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.89
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Jammu & Kashmir",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__jammu_kashmir__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__jammu_kashmir__rural",
   "label": "All women age 15-49 years who are anaemic, Jammu & Kashmir, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.51
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Jammu & Kashmir",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__jammu_kashmir__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__jammu_kashmir__urban",
   "label": "All women age 15-49 years who are anaemic, Jammu & Kashmir, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.41
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Jammu & Kashmir",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__jharkhand__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__jharkhand__total",
   "label": "All women age 15-49 years who are anaemic, Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.3
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Jharkhand",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__jharkhand__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__jharkhand__rural",
   "label": "All women age 15-49 years who are anaemic, Jharkhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.66
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Jharkhand",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__jharkhand__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__jharkhand__urban",
   "label": "All women age 15-49 years who are anaemic, Jharkhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.08
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Jharkhand",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__karnataka__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__karnataka__total",
   "label": "All women age 15-49 years who are anaemic, Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    47.76
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Karnataka",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__karnataka__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__karnataka__rural",
   "label": "All women age 15-49 years who are anaemic, Karnataka, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.26
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Karnataka",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__karnataka__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__karnataka__urban",
   "label": "All women age 15-49 years who are anaemic, Karnataka, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    43.91
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Karnataka",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__kerala__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__kerala__total",
   "label": "All women age 15-49 years who are anaemic, Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    36.34
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Kerala",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__kerala__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__kerala__rural",
   "label": "All women age 15-49 years who are anaemic, Kerala, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    35.78
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Kerala",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__kerala__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__kerala__urban",
   "label": "All women age 15-49 years who are anaemic, Kerala, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    36.95
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Kerala",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__ladakh__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__ladakh__total",
   "label": "All women age 15-49 years who are anaemic, Ladakh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    92.76
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Ladakh",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__ladakh__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__ladakh__rural",
   "label": "All women age 15-49 years who are anaemic, Ladakh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    93.53
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Ladakh",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__ladakh__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__ladakh__urban",
   "label": "All women age 15-49 years who are anaemic, Ladakh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    89.45
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Ladakh",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__lakshadweep__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__lakshadweep__total",
   "label": "All women age 15-49 years who are anaemic, Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    25.8
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Lakshadweep",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__lakshadweep__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__lakshadweep__rural",
   "label": "All women age 15-49 years who are anaemic, Lakshadweep, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    23.74
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Lakshadweep",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__lakshadweep__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__lakshadweep__urban",
   "label": "All women age 15-49 years who are anaemic, Lakshadweep, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    26.42
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Lakshadweep",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__madhya_pradesh__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__madhya_pradesh__total",
   "label": "All women age 15-49 years who are anaemic, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.66
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Madhya Pradesh",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__madhya_pradesh__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__madhya_pradesh__rural",
   "label": "All women age 15-49 years who are anaemic, Madhya Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.82
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Madhya Pradesh",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__madhya_pradesh__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__madhya_pradesh__urban",
   "label": "All women age 15-49 years who are anaemic, Madhya Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.5
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Madhya Pradesh",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__maharashtra__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__maharashtra__total",
   "label": "All women age 15-49 years who are anaemic, Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.24
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Maharashtra",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__maharashtra__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__maharashtra__rural",
   "label": "All women age 15-49 years who are anaemic, Maharashtra, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.06
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Maharashtra",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__maharashtra__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__maharashtra__urban",
   "label": "All women age 15-49 years who are anaemic, Maharashtra, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.04
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Maharashtra",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__manipur__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__manipur__total",
   "label": "All women age 15-49 years who are anaemic, Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.44
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Manipur",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__manipur__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__manipur__rural",
   "label": "All women age 15-49 years who are anaemic, Manipur, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    28.79
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Manipur",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__manipur__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__manipur__urban",
   "label": "All women age 15-49 years who are anaemic, Manipur, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.5
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Manipur",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__meghalaya__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__meghalaya__total",
   "label": "All women age 15-49 years who are anaemic, Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.79
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Meghalaya",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__meghalaya__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__meghalaya__rural",
   "label": "All women age 15-49 years who are anaemic, Meghalaya, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.32
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Meghalaya",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__meghalaya__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__meghalaya__urban",
   "label": "All women age 15-49 years who are anaemic, Meghalaya, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.78
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Meghalaya",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__mizoram__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__mizoram__total",
   "label": "All women age 15-49 years who are anaemic, Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.77
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Mizoram",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__mizoram__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__mizoram__rural",
   "label": "All women age 15-49 years who are anaemic, Mizoram, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    39.88
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Mizoram",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__mizoram__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__mizoram__urban",
   "label": "All women age 15-49 years who are anaemic, Mizoram, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.81
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Mizoram",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__nagaland__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__nagaland__total",
   "label": "All women age 15-49 years who are anaemic, Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    28.88
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Nagaland",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__nagaland__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__nagaland__rural",
   "label": "All women age 15-49 years who are anaemic, Nagaland, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.76
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Nagaland",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__nagaland__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__nagaland__urban",
   "label": "All women age 15-49 years who are anaemic, Nagaland, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.27
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Nagaland",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__odisha__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__odisha__total",
   "label": "All women age 15-49 years who are anaemic, Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.28
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Odisha",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__odisha__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__odisha__rural",
   "label": "All women age 15-49 years who are anaemic, Odisha, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.87
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Odisha",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__odisha__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__odisha__urban",
   "label": "All women age 15-49 years who are anaemic, Odisha, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.52
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Odisha",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__puduchery__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__puduchery__total",
   "label": "All women age 15-49 years who are anaemic, Puduchery",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.14
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Puduchery",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__puduchery__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__puduchery__rural",
   "label": "All women age 15-49 years who are anaemic, Puduchery, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.39
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Puduchery",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__puduchery__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__puduchery__urban",
   "label": "All women age 15-49 years who are anaemic, Puduchery, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.26
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Puduchery",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__punjab__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__punjab__total",
   "label": "All women age 15-49 years who are anaemic, Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.65
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Punjab",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__punjab__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__punjab__rural",
   "label": "All women age 15-49 years who are anaemic, Punjab, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.46
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Punjab",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__punjab__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__punjab__urban",
   "label": "All women age 15-49 years who are anaemic, Punjab, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.97
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Punjab",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__rajasthan__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__rajasthan__total",
   "label": "All women age 15-49 years who are anaemic, Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.35
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Rajasthan",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__rajasthan__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__rajasthan__rural",
   "label": "All women age 15-49 years who are anaemic, Rajasthan, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.74
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Rajasthan",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__rajasthan__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__rajasthan__urban",
   "label": "All women age 15-49 years who are anaemic, Rajasthan, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    49.93
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Rajasthan",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__sikkim__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__sikkim__total",
   "label": "All women age 15-49 years who are anaemic, Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.05
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Sikkim",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__sikkim__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__sikkim__rural",
   "label": "All women age 15-49 years who are anaemic, Sikkim, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    41.86
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Sikkim",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__sikkim__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__sikkim__urban",
   "label": "All women age 15-49 years who are anaemic, Sikkim, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.36
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Sikkim",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__tamil_nadu__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__tamil_nadu__total",
   "label": "All women age 15-49 years who are anaemic, Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.41
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Tamil Nadu",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__tamil_nadu__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__tamil_nadu__rural",
   "label": "All women age 15-49 years who are anaemic, Tamil Nadu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.32
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Tamil Nadu",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__tamil_nadu__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__tamil_nadu__urban",
   "label": "All women age 15-49 years who are anaemic, Tamil Nadu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.25
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Tamil Nadu",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__telangana__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__telangana__total",
   "label": "All women age 15-49 years who are anaemic, Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.62
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Telangana",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__telangana__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__telangana__rural",
   "label": "All women age 15-49 years who are anaemic, Telangana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.9
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Telangana",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__telangana__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__telangana__urban",
   "label": "All women age 15-49 years who are anaemic, Telangana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.21
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Telangana",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__tripura__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__tripura__total",
   "label": "All women age 15-49 years who are anaemic, Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.15
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Tripura",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__tripura__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__tripura__rural",
   "label": "All women age 15-49 years who are anaemic, Tripura, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.59
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Tripura",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__tripura__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__tripura__urban",
   "label": "All women age 15-49 years who are anaemic, Tripura, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.05
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Tripura",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__uttar_pradesh__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__uttar_pradesh__total",
   "label": "All women age 15-49 years who are anaemic, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.42
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Uttar Pradesh",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__uttar_pradesh__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__uttar_pradesh__rural",
   "label": "All women age 15-49 years who are anaemic, Uttar Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.53
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Uttar Pradesh",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__uttar_pradesh__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__uttar_pradesh__urban",
   "label": "All women age 15-49 years who are anaemic, Uttar Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.07
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Uttar Pradesh",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__uttarakhand__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__uttarakhand__total",
   "label": "All women age 15-49 years who are anaemic, Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.56
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Uttarakhand",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__uttarakhand__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__uttarakhand__rural",
   "label": "All women age 15-49 years who are anaemic, Uttarakhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    41.1
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Uttarakhand",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__uttarakhand__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__uttarakhand__urban",
   "label": "All women age 15-49 years who are anaemic, Uttarakhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.8
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "Uttarakhand",
   "sector": "urban"
  },
  "all_women_age_15_49_years_who_are_anaemic__west_bengal__total": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__west_bengal__total",
   "label": "All women age 15-49 years who are anaemic, West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    71.39
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "West Bengal",
   "sector": "total"
  },
  "all_women_age_15_49_years_who_are_anaemic__west_bengal__rural": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__west_bengal__rural",
   "label": "All women age 15-49 years who are anaemic, West Bengal, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    74.41
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "West Bengal",
   "sector": "rural"
  },
  "all_women_age_15_49_years_who_are_anaemic__west_bengal__urban": {
   "name": "nfhs5_t14_all_women_age_15_49_years_who_are_anaemic__west_bengal__urban",
   "label": "All women age 15-49 years who are anaemic, West Bengal, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.06
   ],
   "group": "All women age 15-49 years who are anaemic",
   "sub": "all_women_age_15_49_years_who_are_anaemic",
   "geo": "West Bengal",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__all_india__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__all_india__total",
   "label": "All women age 15-19 years who are anaemic, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.14
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "All India",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__all_india__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__all_india__rural",
   "label": "All women age 15-19 years who are anaemic, All India, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.15
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "All India",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__all_india__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__all_india__urban",
   "label": "All women age 15-19 years who are anaemic, All India, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.47
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "All India",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__andaman_n_islands__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__andaman_n_islands__total",
   "label": "All women age 15-19 years who are anaemic, Andaman & N. Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.92
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Andaman & N. Islands",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__andaman_n_islands__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__andaman_n_islands__rural",
   "label": "All women age 15-19 years who are anaemic, Andaman & N. Islands, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.47
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Andaman & N. Islands",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__andaman_n_islands__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__andaman_n_islands__urban",
   "label": "All women age 15-19 years who are anaemic, Andaman & N. Islands, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.1
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Andaman & N. Islands",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__andhra_pradesh__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__andhra_pradesh__total",
   "label": "All women age 15-19 years who are anaemic, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.07
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Andhra Pradesh",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__andhra_pradesh__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__andhra_pradesh__rural",
   "label": "All women age 15-19 years who are anaemic, Andhra Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.05
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Andhra Pradesh",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__andhra_pradesh__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__andhra_pradesh__urban",
   "label": "All women age 15-19 years who are anaemic, Andhra Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.32
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Andhra Pradesh",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__arunachal_pradesh__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__arunachal_pradesh__total",
   "label": "All women age 15-19 years who are anaemic, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    48.48
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Arunachal Pradesh",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__arunachal_pradesh__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__arunachal_pradesh__rural",
   "label": "All women age 15-19 years who are anaemic, Arunachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    49.56
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Arunachal Pradesh",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__arunachal_pradesh__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__arunachal_pradesh__urban",
   "label": "All women age 15-19 years who are anaemic, Arunachal Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    43.45
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Arunachal Pradesh",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__assam__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__assam__total",
   "label": "All women age 15-19 years who are anaemic, Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.01
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Assam",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__assam__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__assam__rural",
   "label": "All women age 15-19 years who are anaemic, Assam, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.97
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Assam",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__assam__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__assam__urban",
   "label": "All women age 15-19 years who are anaemic, Assam, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.36
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Assam",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__bihar__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__bihar__total",
   "label": "All women age 15-19 years who are anaemic, Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.68
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Bihar",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__bihar__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__bihar__rural",
   "label": "All women age 15-19 years who are anaemic, Bihar, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.44
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Bihar",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__bihar__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__bihar__urban",
   "label": "All women age 15-19 years who are anaemic, Bihar, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.19
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Bihar",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__chandigarh__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__chandigarh__total",
   "label": "All women age 15-19 years who are anaemic, Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.67
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Chandigarh",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__chandigarh__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__chandigarh__urban",
   "label": "All women age 15-19 years who are anaemic, Chandigarh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.48
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Chandigarh",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__chhattisgarh__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__chhattisgarh__total",
   "label": "All women age 15-19 years who are anaemic, Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.44
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Chhattisgarh",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__chhattisgarh__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__chhattisgarh__rural",
   "label": "All women age 15-19 years who are anaemic, Chhattisgarh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.24
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Chhattisgarh",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__chhattisgarh__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__chhattisgarh__urban",
   "label": "All women age 15-19 years who are anaemic, Chhattisgarh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.18
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Chhattisgarh",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__dadra_nagar_haveli_and_daman_diu__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__dadra_nagar_haveli_and_daman_diu__total",
   "label": "All women age 15-19 years who are anaemic, Dadra & Nagar Haveli and Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.9
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__dadra_nagar_haveli_and_daman_diu__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__dadra_nagar_haveli_and_daman_diu__rural",
   "label": "All women age 15-19 years who are anaemic, Dadra & Nagar Haveli and Daman & Diu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.26
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__dadra_nagar_haveli_and_daman_diu__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__dadra_nagar_haveli_and_daman_diu__urban",
   "label": "All women age 15-19 years who are anaemic, Dadra & Nagar Haveli and Daman & Diu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.07
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__delhi__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__delhi__total",
   "label": "All women age 15-19 years who are anaemic, Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.56
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Delhi",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__delhi__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__delhi__rural",
   "label": "All women age 15-19 years who are anaemic, Delhi, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.28
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Delhi",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__delhi__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__delhi__urban",
   "label": "All women age 15-19 years who are anaemic, Delhi, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.54
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Delhi",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__goa__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__goa__total",
   "label": "All women age 15-19 years who are anaemic, Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.49
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Goa",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__goa__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__goa__rural",
   "label": "All women age 15-19 years who are anaemic, Goa, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.67
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Goa",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__goa__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__goa__urban",
   "label": "All women age 15-19 years who are anaemic, Goa, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    43.54
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Goa",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__gujarat__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__gujarat__total",
   "label": "All women age 15-19 years who are anaemic, Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    68.98
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Gujarat",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__gujarat__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__gujarat__rural",
   "label": "All women age 15-19 years who are anaemic, Gujarat, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    72.34
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Gujarat",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__gujarat__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__gujarat__urban",
   "label": "All women age 15-19 years who are anaemic, Gujarat, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Gujarat",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__haryana__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__haryana__total",
   "label": "All women age 15-19 years who are anaemic, Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.26
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Haryana",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__haryana__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__haryana__rural",
   "label": "All women age 15-19 years who are anaemic, Haryana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.51
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Haryana",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__haryana__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__haryana__urban",
   "label": "All women age 15-19 years who are anaemic, Haryana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.34
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Haryana",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__himachal_pradesh__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__himachal_pradesh__total",
   "label": "All women age 15-19 years who are anaemic, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.2
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Himachal Pradesh",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__himachal_pradesh__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__himachal_pradesh__rural",
   "label": "All women age 15-19 years who are anaemic, Himachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.31
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Himachal Pradesh",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__himachal_pradesh__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__himachal_pradesh__urban",
   "label": "All women age 15-19 years who are anaemic, Himachal Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.76
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Himachal Pradesh",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__jammu_kashmir__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__jammu_kashmir__total",
   "label": "All women age 15-19 years who are anaemic, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    76.19
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Jammu & Kashmir",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__jammu_kashmir__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__jammu_kashmir__rural",
   "label": "All women age 15-19 years who are anaemic, Jammu & Kashmir, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    77.46
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Jammu & Kashmir",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__jammu_kashmir__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__jammu_kashmir__urban",
   "label": "All women age 15-19 years who are anaemic, Jammu & Kashmir, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    71.54
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Jammu & Kashmir",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__jharkhand__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__jharkhand__total",
   "label": "All women age 15-19 years who are anaemic, Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.75
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Jharkhand",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__jharkhand__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__jharkhand__rural",
   "label": "All women age 15-19 years who are anaemic, Jharkhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.51
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Jharkhand",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__jharkhand__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__jharkhand__urban",
   "label": "All women age 15-19 years who are anaemic, Jharkhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.21
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Jharkhand",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__karnataka__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__karnataka__total",
   "label": "All women age 15-19 years who are anaemic, Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    49.39
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Karnataka",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__karnataka__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__karnataka__rural",
   "label": "All women age 15-19 years who are anaemic, Karnataka, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.19
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Karnataka",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__karnataka__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__karnataka__urban",
   "label": "All women age 15-19 years who are anaemic, Karnataka, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    48.02
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Karnataka",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__kerala__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__kerala__total",
   "label": "All women age 15-19 years who are anaemic, Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    32.53
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Kerala",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__kerala__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__kerala__rural",
   "label": "All women age 15-19 years who are anaemic, Kerala, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.57
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Kerala",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__kerala__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__kerala__urban",
   "label": "All women age 15-19 years who are anaemic, Kerala, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    33.55
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Kerala",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__ladakh__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__ladakh__total",
   "label": "All women age 15-19 years who are anaemic, Ladakh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    96.92
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Ladakh",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__ladakh__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__ladakh__rural",
   "label": "All women age 15-19 years who are anaemic, Ladakh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    97.82
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Ladakh",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__ladakh__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__ladakh__urban",
   "label": "All women age 15-19 years who are anaemic, Ladakh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    92.35
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Ladakh",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__lakshadweep__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__lakshadweep__total",
   "label": "All women age 15-19 years who are anaemic, Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.36
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Lakshadweep",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__lakshadweep__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__lakshadweep__rural",
   "label": "All women age 15-19 years who are anaemic, Lakshadweep, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.87
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Lakshadweep",
   "sector": "rural",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "all_women_age_15_19_years_who_are_anaemic__lakshadweep__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__lakshadweep__urban",
   "label": "All women age 15-19 years who are anaemic, Lakshadweep, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.22
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Lakshadweep",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__madhya_pradesh__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__madhya_pradesh__total",
   "label": "All women age 15-19 years who are anaemic, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.11
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Madhya Pradesh",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__madhya_pradesh__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__madhya_pradesh__rural",
   "label": "All women age 15-19 years who are anaemic, Madhya Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.33
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Madhya Pradesh",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__madhya_pradesh__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__madhya_pradesh__urban",
   "label": "All women age 15-19 years who are anaemic, Madhya Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.4
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Madhya Pradesh",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__maharashtra__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__maharashtra__total",
   "label": "All women age 15-19 years who are anaemic, Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.15
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Maharashtra",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__maharashtra__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__maharashtra__rural",
   "label": "All women age 15-19 years who are anaemic, Maharashtra, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.73
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Maharashtra",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__maharashtra__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__maharashtra__urban",
   "label": "All women age 15-19 years who are anaemic, Maharashtra, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.38
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Maharashtra",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__manipur__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__manipur__total",
   "label": "All women age 15-19 years who are anaemic, Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.92
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Manipur",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__manipur__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__manipur__rural",
   "label": "All women age 15-19 years who are anaemic, Manipur, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    26.67
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Manipur",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__manipur__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__manipur__urban",
   "label": "All women age 15-19 years who are anaemic, Manipur, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.41
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Manipur",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__meghalaya__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__meghalaya__total",
   "label": "All women age 15-19 years who are anaemic, Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.54
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Meghalaya",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__meghalaya__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__meghalaya__rural",
   "label": "All women age 15-19 years who are anaemic, Meghalaya, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.55
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Meghalaya",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__meghalaya__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__meghalaya__urban",
   "label": "All women age 15-19 years who are anaemic, Meghalaya, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.6
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Meghalaya",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__mizoram__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__mizoram__total",
   "label": "All women age 15-19 years who are anaemic, Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.92
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Mizoram",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__mizoram__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__mizoram__rural",
   "label": "All women age 15-19 years who are anaemic, Mizoram, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.84
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Mizoram",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__mizoram__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__mizoram__urban",
   "label": "All women age 15-19 years who are anaemic, Mizoram, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.33
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Mizoram",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__nagaland__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__nagaland__total",
   "label": "All women age 15-19 years who are anaemic, Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    33.92
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Nagaland",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__nagaland__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__nagaland__rural",
   "label": "All women age 15-19 years who are anaemic, Nagaland, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    33.88
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Nagaland",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__nagaland__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__nagaland__urban",
   "label": "All women age 15-19 years who are anaemic, Nagaland, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    33.99
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Nagaland",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__odisha__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__odisha__total",
   "label": "All women age 15-19 years who are anaemic, Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.45
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Odisha",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__odisha__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__odisha__rural",
   "label": "All women age 15-19 years who are anaemic, Odisha, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.26
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Odisha",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__odisha__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__odisha__urban",
   "label": "All women age 15-19 years who are anaemic, Odisha, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.35
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Odisha",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__puduchery__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__puduchery__total",
   "label": "All women age 15-19 years who are anaemic, Puduchery",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.4
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Puduchery",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__puduchery__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__puduchery__rural",
   "label": "All women age 15-19 years who are anaemic, Puduchery, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.96
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Puduchery",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__puduchery__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__puduchery__urban",
   "label": "All women age 15-19 years who are anaemic, Puduchery, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.12
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Puduchery",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__punjab__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__punjab__total",
   "label": "All women age 15-19 years who are anaemic, Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.3
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Punjab",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__punjab__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__punjab__rural",
   "label": "All women age 15-19 years who are anaemic, Punjab, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.31
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Punjab",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__punjab__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__punjab__urban",
   "label": "All women age 15-19 years who are anaemic, Punjab, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.55
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Punjab",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__rajasthan__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__rajasthan__total",
   "label": "All women age 15-19 years who are anaemic, Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.38
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Rajasthan",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__rajasthan__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__rajasthan__rural",
   "label": "All women age 15-19 years who are anaemic, Rajasthan, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.07
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Rajasthan",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__rajasthan__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__rajasthan__urban",
   "label": "All women age 15-19 years who are anaemic, Rajasthan, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.61
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Rajasthan",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__sikkim__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__sikkim__total",
   "label": "All women age 15-19 years who are anaemic, Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    46.68
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Sikkim",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__sikkim__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__sikkim__rural",
   "label": "All women age 15-19 years who are anaemic, Sikkim, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    43.71
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Sikkim",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__sikkim__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__sikkim__urban",
   "label": "All women age 15-19 years who are anaemic, Sikkim, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.02
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Sikkim",
   "sector": "urban",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "all_women_age_15_19_years_who_are_anaemic__tamil_nadu__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__tamil_nadu__total",
   "label": "All women age 15-19 years who are anaemic, Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.94
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Tamil Nadu",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__tamil_nadu__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__tamil_nadu__rural",
   "label": "All women age 15-19 years who are anaemic, Tamil Nadu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.9
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Tamil Nadu",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__tamil_nadu__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__tamil_nadu__urban",
   "label": "All women age 15-19 years who are anaemic, Tamil Nadu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.55
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Tamil Nadu",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__telangana__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__telangana__total",
   "label": "All women age 15-19 years who are anaemic, Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.65
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Telangana",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__telangana__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__telangana__rural",
   "label": "All women age 15-19 years who are anaemic, Telangana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    65.17
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Telangana",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__telangana__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__telangana__urban",
   "label": "All women age 15-19 years who are anaemic, Telangana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.58
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Telangana",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__tripura__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__tripura__total",
   "label": "All women age 15-19 years who are anaemic, Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.88
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Tripura",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__tripura__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__tripura__rural",
   "label": "All women age 15-19 years who are anaemic, Tripura, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    69.81
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Tripura",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__tripura__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__tripura__urban",
   "label": "All women age 15-19 years who are anaemic, Tripura, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.72
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Tripura",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__uttar_pradesh__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__uttar_pradesh__total",
   "label": "All women age 15-19 years who are anaemic, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.91
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Uttar Pradesh",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__uttar_pradesh__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__uttar_pradesh__rural",
   "label": "All women age 15-19 years who are anaemic, Uttar Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.78
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Uttar Pradesh",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__uttar_pradesh__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__uttar_pradesh__urban",
   "label": "All women age 15-19 years who are anaemic, Uttar Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.41
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Uttar Pradesh",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__uttarakhand__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__uttarakhand__total",
   "label": "All women age 15-19 years who are anaemic, Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.93
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Uttarakhand",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__uttarakhand__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__uttarakhand__rural",
   "label": "All women age 15-19 years who are anaemic, Uttarakhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.89
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Uttarakhand",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__uttarakhand__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__uttarakhand__urban",
   "label": "All women age 15-19 years who are anaemic, Uttarakhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    41.03
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "Uttarakhand",
   "sector": "urban"
  },
  "all_women_age_15_19_years_who_are_anaemic__west_bengal__total": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__west_bengal__total",
   "label": "All women age 15-19 years who are anaemic, West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    70.8
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "West Bengal",
   "sector": "total"
  },
  "all_women_age_15_19_years_who_are_anaemic__west_bengal__rural": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__west_bengal__rural",
   "label": "All women age 15-19 years who are anaemic, West Bengal, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    73.23
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "West Bengal",
   "sector": "rural"
  },
  "all_women_age_15_19_years_who_are_anaemic__west_bengal__urban": {
   "name": "nfhs5_t14_all_women_age_15_19_years_who_are_anaemic__west_bengal__urban",
   "label": "All women age 15-19 years who are anaemic, West Bengal, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.66
   ],
   "group": "All women age 15-19 years who are anaemic",
   "sub": "all_women_age_15_19_years_who_are_anaemic",
   "geo": "West Bengal",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__all_india__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__all_india__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    25.04
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "All India",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__all_india__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__all_india__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), All India, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.41
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "All India",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__all_india__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__all_india__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), All India, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    20.39
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "All India",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__andaman_n_islands__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__andaman_n_islands__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Andaman & N. Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    16.06
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Andaman & N. Islands",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__andaman_n_islands__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__andaman_n_islands__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Andaman & N. Islands, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    20.36
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Andaman & N. Islands",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__andaman_n_islands__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__andaman_n_islands__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Andaman & N. Islands, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    9.18
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Andaman & N. Islands",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__andhra_pradesh__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__andhra_pradesh__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    16.2
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Andhra Pradesh",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__andhra_pradesh__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__andhra_pradesh__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Andhra Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    17.32
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Andhra Pradesh",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__andhra_pradesh__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__andhra_pradesh__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Andhra Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    13.79
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Andhra Pradesh",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__arunachal_pradesh__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__arunachal_pradesh__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    21.44
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Arunachal Pradesh",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__arunachal_pradesh__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__arunachal_pradesh__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Arunachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    21.45
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Arunachal Pradesh",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__arunachal_pradesh__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__arunachal_pradesh__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Arunachal Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    21.41
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Arunachal Pradesh",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__assam__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__assam__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    35.99
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Assam",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__assam__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__assam__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Assam, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    37.52
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Assam",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__assam__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__assam__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Assam, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.56
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Assam",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__bihar__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__bihar__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.45
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Bihar",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__bihar__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__bihar__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Bihar, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.05
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Bihar",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__bihar__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__bihar__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Bihar, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.14
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Bihar",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__chandigarh__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__chandigarh__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    8.08
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Chandigarh",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__chandigarh__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__chandigarh__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Chandigarh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    8.08
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Chandigarh",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__chhattisgarh__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__chhattisgarh__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    26.99
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Chhattisgarh",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__chhattisgarh__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__chhattisgarh__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Chhattisgarh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    28.87
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Chhattisgarh",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__chhattisgarh__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__chhattisgarh__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Chhattisgarh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    20.81
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Chhattisgarh",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__dadra_nagar_haveli_and_daman_diu__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__dadra_nagar_haveli_and_daman_diu__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Dadra & Nagar Haveli and Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    24.62
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__dadra_nagar_haveli_and_daman_diu__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__dadra_nagar_haveli_and_daman_diu__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Dadra & Nagar Haveli and Daman & Diu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.34
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__dadra_nagar_haveli_and_daman_diu__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__dadra_nagar_haveli_and_daman_diu__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Dadra & Nagar Haveli and Daman & Diu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    17.89
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__delhi__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__delhi__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    12.64
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Delhi",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__delhi__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__delhi__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Delhi, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    20.24
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Delhi",
   "sector": "rural",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__delhi__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__delhi__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Delhi, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    12.53
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Delhi",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__goa__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__goa__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    12
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Goa",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__goa__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__goa__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Goa, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    9.48
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Goa",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__goa__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__goa__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Goa, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    13.31
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Goa",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__gujarat__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__gujarat__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    26.6
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Gujarat",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__gujarat__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__gujarat__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Gujarat, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.11
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Gujarat",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__gujarat__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__gujarat__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Gujarat, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    23.3
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Gujarat",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__haryana__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__haryana__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18.93
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Haryana",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__haryana__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__haryana__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Haryana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    20.36
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Haryana",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__haryana__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__haryana__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Haryana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    16
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Haryana",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__himachal_pradesh__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__himachal_pradesh__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18.62
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Himachal Pradesh",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__himachal_pradesh__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__himachal_pradesh__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Himachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    20.26
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Himachal Pradesh",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__himachal_pradesh__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__himachal_pradesh__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Himachal Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    8.63
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Himachal Pradesh",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__jammu_kashmir__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__jammu_kashmir__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    36.7
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Jammu & Kashmir",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__jammu_kashmir__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__jammu_kashmir__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Jammu & Kashmir, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    39.97
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Jammu & Kashmir",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__jammu_kashmir__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__jammu_kashmir__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Jammu & Kashmir, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    28.02
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Jammu & Kashmir",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__jharkhand__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__jharkhand__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.55
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Jharkhand",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__jharkhand__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__jharkhand__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Jharkhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.45
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Jharkhand",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__jharkhand__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__jharkhand__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Jharkhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.07
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Jharkhand",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__karnataka__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__karnataka__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    19.63
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Karnataka",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__karnataka__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__karnataka__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Karnataka, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    21.17
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Karnataka",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__karnataka__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__karnataka__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Karnataka, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    17.34
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Karnataka",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__kerala__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__kerala__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    17.8
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Kerala",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__kerala__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__kerala__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Kerala, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    16.35
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Kerala",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__kerala__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__kerala__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Kerala, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    19.53
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Kerala",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__ladakh__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__ladakh__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Ladakh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    75.62
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Ladakh",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__ladakh__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__ladakh__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Ladakh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    76.41
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Ladakh",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__ladakh__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__ladakh__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Ladakh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    72.39
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Ladakh",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__lakshadweep__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__lakshadweep__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5.57
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Lakshadweep",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__lakshadweep__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__lakshadweep__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Lakshadweep, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    11.42
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Lakshadweep",
   "sector": "rural",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__lakshadweep__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__lakshadweep__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Lakshadweep, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    3.49
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Lakshadweep",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__madhya_pradesh__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__madhya_pradesh__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.43
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Madhya Pradesh",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__madhya_pradesh__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__madhya_pradesh__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Madhya Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.92
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Madhya Pradesh",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__madhya_pradesh__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__madhya_pradesh__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Madhya Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    21
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Madhya Pradesh",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__maharashtra__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__maharashtra__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    21.86
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Maharashtra",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__maharashtra__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__maharashtra__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Maharashtra, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    25.4
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Maharashtra",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__maharashtra__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__maharashtra__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Maharashtra, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    17.42
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Maharashtra",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__manipur__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__manipur__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5.97
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Manipur",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__manipur__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__manipur__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Manipur, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    6.51
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Manipur",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__manipur__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__manipur__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Manipur, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    5.27
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Manipur",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__meghalaya__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__meghalaya__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    25.5
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Meghalaya",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__meghalaya__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__meghalaya__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Meghalaya, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.35
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Meghalaya",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__meghalaya__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__meghalaya__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Meghalaya, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    16.1
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Meghalaya",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__mizoram__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__mizoram__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    15.62
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Mizoram",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__mizoram__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__mizoram__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Mizoram, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18.31
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Mizoram",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__mizoram__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__mizoram__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Mizoram, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    13.33
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Mizoram",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__nagaland__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__nagaland__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    9.96
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Nagaland",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__nagaland__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__nagaland__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Nagaland, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    9.47
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Nagaland",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__nagaland__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__nagaland__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Nagaland, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    10.8
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Nagaland",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__odisha__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__odisha__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    28.48
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Odisha",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__odisha__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__odisha__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Odisha, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.59
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Odisha",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__odisha__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__odisha__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Odisha, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    24
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Odisha",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__puduchery__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__puduchery__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Puduchery",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    19.53
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Puduchery",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__puduchery__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__puduchery__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Puduchery, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18.43
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Puduchery",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__puduchery__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__puduchery__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Puduchery, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    19.98
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Puduchery",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__punjab__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__punjab__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.63
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Punjab",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__punjab__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__punjab__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Punjab, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    24.31
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Punjab",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__punjab__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__punjab__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Punjab, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    20.18
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Punjab",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__rajasthan__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__rajasthan__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    23.21
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Rajasthan",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__rajasthan__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__rajasthan__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Rajasthan, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    24.59
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Rajasthan",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__rajasthan__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__rajasthan__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Rajasthan, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    19.23
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Rajasthan",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__sikkim__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__sikkim__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18.72
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Sikkim",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__sikkim__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__sikkim__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Sikkim, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    20.96
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Sikkim",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__sikkim__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__sikkim__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Sikkim, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    15.01
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Sikkim",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__tamil_nadu__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__tamil_nadu__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    15.22
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Tamil Nadu",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__tamil_nadu__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__tamil_nadu__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Tamil Nadu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    15.45
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Tamil Nadu",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__tamil_nadu__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__tamil_nadu__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Tamil Nadu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    14.96
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Tamil Nadu",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__telangana__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__telangana__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    15.33
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Telangana",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__telangana__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__telangana__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Telangana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    16.48
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Telangana",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__telangana__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__telangana__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Telangana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    13.18
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Telangana",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__tripura__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__tripura__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    36.87
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Tripura",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__tripura__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__tripura__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Tripura, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.89
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Tripura",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__tripura__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__tripura__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Tripura, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    41.72
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Tripura",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__uttar_pradesh__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__uttar_pradesh__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    21.46
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Uttar Pradesh",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__uttar_pradesh__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__uttar_pradesh__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Uttar Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.69
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Uttar Pradesh",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__uttar_pradesh__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__uttar_pradesh__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Uttar Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Uttar Pradesh",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__uttarakhand__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__uttarakhand__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    15.14
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Uttarakhand",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__uttarakhand__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__uttarakhand__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Uttarakhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    15.58
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Uttarakhand",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__uttarakhand__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__uttarakhand__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), Uttarakhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    14.16
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "Uttarakhand",
   "sector": "urban"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__west_bengal__total": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__west_bengal__total",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    38.85
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "West Bengal",
   "sector": "total"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__west_bengal__rural": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__west_bengal__rural",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), West Bengal, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.42
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "West Bengal",
   "sector": "rural"
  },
  "men_age_15_49_years_who_are_anaemic_13_0_g_d__west_bengal__urban": {
   "name": "nfhs5_t14_men_age_15_49_years_who_are_anaemic_13_0_g_d__west_bengal__urban",
   "label": "Men age 15-49 years who are anaemic (<13.0 g/dl), West Bengal, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.94
   ],
   "group": "Men age 15-49 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_49_years_who_are_anaemic_13_0_g_d",
   "geo": "West Bengal",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__all_india__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__all_india__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.13
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "All India",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__all_india__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__all_india__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), All India, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    33.86
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "All India",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__all_india__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__all_india__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), All India, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    25.04
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "All India",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__andaman_n_islands__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__andaman_n_islands__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Andaman & N. Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.09
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Andaman & N. Islands",
   "sector": "total",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__andaman_n_islands__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__andaman_n_islands__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Andaman & N. Islands, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    25.59
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Andaman & N. Islands",
   "sector": "rural",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__andhra_pradesh__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__andhra_pradesh__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18.67
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Andhra Pradesh",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__andhra_pradesh__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__andhra_pradesh__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Andhra Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    21.35
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Andhra Pradesh",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__andhra_pradesh__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__andhra_pradesh__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Andhra Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    12.78
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Andhra Pradesh",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__arunachal_pradesh__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__arunachal_pradesh__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    24.94
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Arunachal Pradesh",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__arunachal_pradesh__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__arunachal_pradesh__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Arunachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    25.59
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Arunachal Pradesh",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__arunachal_pradesh__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__arunachal_pradesh__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Arunachal Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    21.94
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Arunachal Pradesh",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__assam__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__assam__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    39.63
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Assam",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__assam__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__assam__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Assam, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.44
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Assam",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__assam__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__assam__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Assam, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.59
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Assam",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__bihar__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__bihar__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.83
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Bihar",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__bihar__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__bihar__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Bihar, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    35.2
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Bihar",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__bihar__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__bihar__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Bihar, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    32.98
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Bihar",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__chhattisgarh__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__chhattisgarh__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.45
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Chhattisgarh",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__chhattisgarh__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__chhattisgarh__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Chhattisgarh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.35
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Chhattisgarh",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__chhattisgarh__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__chhattisgarh__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Chhattisgarh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.48
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Chhattisgarh",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__dadra_nagar_haveli_and_daman_diu__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__dadra_nagar_haveli_and_daman_diu__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Dadra & Nagar Haveli and Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    36.99
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__dadra_nagar_haveli_and_daman_diu__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__dadra_nagar_haveli_and_daman_diu__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Dadra & Nagar Haveli and Daman & Diu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.96
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "rural",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__dadra_nagar_haveli_and_daman_diu__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__dadra_nagar_haveli_and_daman_diu__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Dadra & Nagar Haveli and Daman & Diu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    12.07
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Dadra & Nagar Haveli and Daman & Diu",
   "sector": "urban",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__delhi__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__delhi__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18.91
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Delhi",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__delhi__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__delhi__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Delhi, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18.73
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Delhi",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__goa__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__goa__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    15.77
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Goa",
   "sector": "total",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__goa__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__goa__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Goa, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    11.91
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Goa",
   "sector": "urban",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__gujarat__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__gujarat__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    36.02
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Gujarat",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__gujarat__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__gujarat__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Gujarat, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    39.2
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Gujarat",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__gujarat__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__gujarat__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Gujarat, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.51
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Gujarat",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__haryana__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__haryana__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.92
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Haryana",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__haryana__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__haryana__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Haryana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.52
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Haryana",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__haryana__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__haryana__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Haryana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    26.72
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Haryana",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__himachal_pradesh__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__himachal_pradesh__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.08
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Himachal Pradesh",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__himachal_pradesh__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__himachal_pradesh__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Himachal Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.43
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Himachal Pradesh",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__jammu_kashmir__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__jammu_kashmir__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.46
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Jammu & Kashmir",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__jammu_kashmir__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__jammu_kashmir__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Jammu & Kashmir, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.05
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Jammu & Kashmir",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__jammu_kashmir__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__jammu_kashmir__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Jammu & Kashmir, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    37.93
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Jammu & Kashmir",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__jharkhand__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__jharkhand__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    39.65
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Jharkhand",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__jharkhand__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__jharkhand__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Jharkhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    39.85
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Jharkhand",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__jharkhand__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__jharkhand__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Jharkhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    38.99
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Jharkhand",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__karnataka__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__karnataka__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    26.46
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Karnataka",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__karnataka__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__karnataka__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Karnataka, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    26.49
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Karnataka",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__karnataka__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__karnataka__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Karnataka, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    26.42
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Karnataka",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__kerala__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__kerala__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.42
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Kerala",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__kerala__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__kerala__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Kerala, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.65
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Kerala",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__kerala__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__kerala__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Kerala, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    23.97
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Kerala",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__ladakh__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__ladakh__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Ladakh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    93.06
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Ladakh",
   "sector": "total",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__ladakh__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__ladakh__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Ladakh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    95.81
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Ladakh",
   "sector": "rural",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__madhya_pradesh__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__madhya_pradesh__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.45
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Madhya Pradesh",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__madhya_pradesh__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__madhya_pradesh__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Madhya Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.27
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Madhya Pradesh",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__madhya_pradesh__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__madhya_pradesh__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Madhya Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.01
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Madhya Pradesh",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__maharashtra__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__maharashtra__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.94
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Maharashtra",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__maharashtra__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__maharashtra__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Maharashtra, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.18
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Maharashtra",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__maharashtra__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__maharashtra__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Maharashtra, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    19.02
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Maharashtra",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__manipur__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__manipur__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    7.84
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Manipur",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__manipur__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__manipur__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Manipur, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    7.39
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Manipur",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__manipur__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__manipur__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Manipur, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    8.49
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Manipur",
   "sector": "urban",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__meghalaya__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__meghalaya__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.11
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Meghalaya",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__meghalaya__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__meghalaya__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Meghalaya, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.97
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Meghalaya",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__meghalaya__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__meghalaya__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Meghalaya, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    7.43
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Meghalaya",
   "sector": "urban",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__mizoram__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__mizoram__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    21.51
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Mizoram",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__mizoram__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__mizoram__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Mizoram, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    18.91
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Mizoram",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__mizoram__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__mizoram__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Mizoram, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    23.84
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Mizoram",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__nagaland__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__nagaland__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    19.63
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Nagaland",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__nagaland__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__nagaland__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Nagaland, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    21.61
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Nagaland",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__nagaland__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__nagaland__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Nagaland, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    15.45
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Nagaland",
   "sector": "urban",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__odisha__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__odisha__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.99
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Odisha",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__odisha__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__odisha__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Odisha, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    32.61
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Odisha",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__odisha__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__odisha__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Odisha, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    20.35
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Odisha",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__puduchery__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__puduchery__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Puduchery",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.65
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Puduchery",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__puduchery__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__puduchery__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Puduchery, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    35.84
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Puduchery",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__punjab__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__punjab__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    32.74
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Punjab",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__punjab__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__punjab__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Punjab, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.56
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Punjab",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__punjab__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__punjab__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Punjab, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.24
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Punjab",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__rajasthan__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__rajasthan__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.04
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Rajasthan",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__rajasthan__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__rajasthan__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Rajasthan, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    35.7
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Rajasthan",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__rajasthan__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__rajasthan__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Rajasthan, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    28.95
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Rajasthan",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__sikkim__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__sikkim__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    17.55
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Sikkim",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__sikkim__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__sikkim__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Sikkim, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    23.08
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Sikkim",
   "sector": "rural",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__tamil_nadu__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__tamil_nadu__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    24.62
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Tamil Nadu",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__tamil_nadu__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__tamil_nadu__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Tamil Nadu, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    24.89
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Tamil Nadu",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__tamil_nadu__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__tamil_nadu__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Tamil Nadu, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    24.33
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Tamil Nadu",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__telangana__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__telangana__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    25.09
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Telangana",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__telangana__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__telangana__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Telangana, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    24.71
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Telangana",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__telangana__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__telangana__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Telangana, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    25.83
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Telangana",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__tripura__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__tripura__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.15
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Tripura",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__tripura__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__tripura__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Tripura, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    24.67
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Tripura",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__uttar_pradesh__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__uttar_pradesh__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    28.21
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Uttar Pradesh",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__uttar_pradesh__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__uttar_pradesh__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Uttar Pradesh, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.91
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Uttar Pradesh",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__uttar_pradesh__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__uttar_pradesh__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Uttar Pradesh, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    22.48
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Uttar Pradesh",
   "sector": "urban"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__uttarakhand__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__uttarakhand__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.64
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Uttarakhand",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__uttarakhand__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__uttarakhand__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Uttarakhand, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    26.33
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Uttarakhand",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__uttarakhand__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__uttarakhand__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), Uttarakhand, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    31.21
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "Uttarakhand",
   "sector": "urban",
   "flags": {
    "caution": [
     "2020-01-01"
    ]
   }
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__west_bengal__total": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__west_bengal__total",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    38.71
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "West Bengal",
   "sector": "total"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__west_bengal__rural": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__west_bengal__rural",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), West Bengal, rural",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.83
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "West Bengal",
   "sector": "rural"
  },
  "men_age_15_19_years_who_are_anaemic_13_0_g_d__west_bengal__urban": {
   "name": "nfhs5_t14_men_age_15_19_years_who_are_anaemic_13_0_g_d__west_bengal__urban",
   "label": "Men age 15-19 years who are anaemic (<13.0 g/dl), West Bengal, urban",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.64
   ],
   "group": "Men age 15-19 years who are anaemic (<13.0 g/dl)",
   "sub": "men_age_15_19_years_who_are_anaemic_13_0_g_d",
   "geo": "West Bengal",
   "sector": "urban"
  }
 }
}