{
 "meta": {
  "dossier": "gender",
  "product": "gender",
  "source": "Periodic Labour Force Survey, National Statistics Office, MoSPI, as reprinted in MoSPI's Women and Men in India 2025 (table 3.13)",
  "agency": "Periodic Labour Force Survey, National Statistics Office, MoSPI",
  "compendiumTable": "3.13",
  "indicatorCode": 72,
  "base": "PLFS, agricultural years (July to June)",
  "frequency": "irregular",
  "unit": "percent",
  "vintage": "2026-10-09",
  "geo": "IND",
  "latestPeriod": "2023-24 (July to June)",
  "releaseDate": "2026-04-29",
  "revisionPolicy": "Each indicator is final as its underlying source publishes; the compendium is a curated cross-source portrait, never a single survey.",
  "coverage": "Population(age 25 years & above) with at least secondary as the highest level of education successfully completed (PLFS, agricultural years (July to June))",
  "periodLabels": {
   "2020-07-01": "2020-21",
   "2021-07-01": "2021-22",
   "2023-07-01": "2023-24"
  },
  "cut": "Sex and state",
  "note": "MoSPI's compendium reprints this table from Periodic Labour Force Survey, National Statistics Office, MoSPI; the figures are that agency's. This bundle holds one instrument only (PLFS, agricultural years (July to June)); the indicator's other instrument is a separate bundle, never joined to this one. Values printed as \"-\" (no observation) or \"NR\" (not reported) are not baked; meta.omitted counts them.",
  "omitted": {}
 },
 "dates": [
  "2020-07-01",
  "2021-07-01",
  "2023-07-01"
 ],
 "series": {
  "male__all_india": {
   "name": "gender_t72_male__all_india",
   "label": "Male, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60,
    58.7,
    61.5
   ],
   "group": "Male",
   "geo": "All India"
  },
  "female__all_india": {
   "name": "gender_t72_female__all_india",
   "label": "Female, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.7,
    41.4,
    43.7
   ],
   "group": "Female",
   "geo": "All India"
  },
  "person__all_india": {
   "name": "gender_t72_person__all_india",
   "label": "Person, All India",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.2,
    50,
    52.5
   ],
   "group": "Person",
   "geo": "All India"
  },
  "male__andaman_nicobar_islands": {
   "name": "gender_t72_male__andaman_nicobar_islands",
   "label": "Male, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67,
    68.6,
    72.5
   ],
   "group": "Male",
   "geo": "Andaman & Nicobar  Islands"
  },
  "female__andaman_nicobar_islands": {
   "name": "gender_t72_female__andaman_nicobar_islands",
   "label": "Female, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.5,
    62,
    59.4
   ],
   "group": "Female",
   "geo": "Andaman & Nicobar  Islands"
  },
  "person__andaman_nicobar_islands": {
   "name": "gender_t72_person__andaman_nicobar_islands",
   "label": "Person, Andaman & Nicobar  Islands",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.9,
    65.4,
    65.8
   ],
   "group": "Person",
   "geo": "Andaman & Nicobar  Islands"
  },
  "male__andhra_pradesh": {
   "name": "gender_t72_male__andhra_pradesh",
   "label": "Male, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    46.4,
    52.1,
    49.3
   ],
   "group": "Male",
   "geo": "Andhra Pradesh"
  },
  "female__andhra_pradesh": {
   "name": "gender_t72_female__andhra_pradesh",
   "label": "Female, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.4,
    32,
    33.6
   ],
   "group": "Female",
   "geo": "Andhra Pradesh"
  },
  "person__andhra_pradesh": {
   "name": "gender_t72_person__andhra_pradesh",
   "label": "Person, Andhra Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    38.1,
    41.7,
    41.1
   ],
   "group": "Person",
   "geo": "Andhra Pradesh"
  },
  "male__arunachal_pradesh": {
   "name": "gender_t72_male__arunachal_pradesh",
   "label": "Male, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.2,
    58.7,
    59.9
   ],
   "group": "Male",
   "geo": "Arunachal Pradesh"
  },
  "female__arunachal_pradesh": {
   "name": "gender_t72_female__arunachal_pradesh",
   "label": "Female, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    41,
    38.6,
    38.5
   ],
   "group": "Female",
   "geo": "Arunachal Pradesh"
  },
  "person__arunachal_pradesh": {
   "name": "gender_t72_person__arunachal_pradesh",
   "label": "Person, Arunachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.8,
    48.9,
    49.4
   ],
   "group": "Person",
   "geo": "Arunachal Pradesh"
  },
  "male__assam": {
   "name": "gender_t72_male__assam",
   "label": "Male, Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.6,
    29.2,
    57.8
   ],
   "group": "Male",
   "geo": "Assam"
  },
  "female__assam": {
   "name": "gender_t72_female__assam",
   "label": "Female, Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.9,
    25.2,
    48.1
   ],
   "group": "Female",
   "geo": "Assam"
  },
  "person__assam": {
   "name": "gender_t72_person__assam",
   "label": "Person, Assam",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.8,
    27.2,
    52.9
   ],
   "group": "Person",
   "geo": "Assam"
  },
  "male__bihar": {
   "name": "gender_t72_male__bihar",
   "label": "Male, Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.1,
    54.9,
    52.7
   ],
   "group": "Male",
   "geo": "Bihar"
  },
  "female__bihar": {
   "name": "gender_t72_female__bihar",
   "label": "Female, Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.8,
    30.9,
    29.6
   ],
   "group": "Female",
   "geo": "Bihar"
  },
  "person__bihar": {
   "name": "gender_t72_person__bihar",
   "label": "Person, Bihar",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    39.9,
    42.9,
    40.9
   ],
   "group": "Person",
   "geo": "Bihar"
  },
  "male__chandigarh": {
   "name": "gender_t72_male__chandigarh",
   "label": "Male, Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    79.5,
    83.8,
    84.8
   ],
   "group": "Male",
   "geo": "Chandigarh"
  },
  "female__chandigarh": {
   "name": "gender_t72_female__chandigarh",
   "label": "Female, Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    70.2,
    73.9,
    74.6
   ],
   "group": "Female",
   "geo": "Chandigarh"
  },
  "person__chandigarh": {
   "name": "gender_t72_person__chandigarh",
   "label": "Person, Chandigarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    74.8,
    79.1,
    79.9
   ],
   "group": "Person",
   "geo": "Chandigarh"
  },
  "male__chhattisgarh": {
   "name": "gender_t72_male__chhattisgarh",
   "label": "Male, Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.2,
    55,
    57.5
   ],
   "group": "Male",
   "geo": "Chhattisgarh"
  },
  "female__chhattisgarh": {
   "name": "gender_t72_female__chhattisgarh",
   "label": "Female, Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.2,
    36.6,
    36.7
   ],
   "group": "Female",
   "geo": "Chhattisgarh"
  },
  "person__chhattisgarh": {
   "name": "gender_t72_person__chhattisgarh",
   "label": "Person, Chhattisgarh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.7,
    45.8,
    47
   ],
   "group": "Person",
   "geo": "Chhattisgarh"
  },
  "male__dadra_nagar_haveli_and_daman_d": {
   "name": "gender_t72_male__dadra_nagar_haveli_and_daman_d",
   "label": "Male, Dadra & Nagar Haveli and Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.2,
    70.2,
    73.5
   ],
   "group": "Male",
   "geo": "Dadra & Nagar Haveli and Daman & Diu"
  },
  "female__dadra_nagar_haveli_and_daman_d": {
   "name": "gender_t72_female__dadra_nagar_haveli_and_daman_d",
   "label": "Female, Dadra & Nagar Haveli and Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    43.9,
    54.9,
    53.7
   ],
   "group": "Female",
   "geo": "Dadra & Nagar Haveli and Daman & Diu"
  },
  "person__dadra_nagar_haveli_and_daman_d": {
   "name": "gender_t72_person__dadra_nagar_haveli_and_daman_d",
   "label": "Person, Dadra & Nagar Haveli and Daman & Diu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.9,
    63.4,
    64.8
   ],
   "group": "Person",
   "geo": "Dadra & Nagar Haveli and Daman & Diu"
  },
  "male__delhi": {
   "name": "gender_t72_male__delhi",
   "label": "Male, Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    71,
    72.8,
    74.3
   ],
   "group": "Male",
   "geo": "Delhi"
  },
  "female__delhi": {
   "name": "gender_t72_female__delhi",
   "label": "Female, Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56,
    59.3,
    60.7
   ],
   "group": "Female",
   "geo": "Delhi"
  },
  "person__delhi": {
   "name": "gender_t72_person__delhi",
   "label": "Person, Delhi",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64,
    66.5,
    67.7
   ],
   "group": "Person",
   "geo": "Delhi"
  },
  "male__goa": {
   "name": "gender_t72_male__goa",
   "label": "Male, Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    78.6,
    76.4,
    86.8
   ],
   "group": "Male",
   "geo": "Goa"
  },
  "female__goa": {
   "name": "gender_t72_female__goa",
   "label": "Female, Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.6,
    67.7,
    71.2
   ],
   "group": "Female",
   "geo": "Goa"
  },
  "person__goa": {
   "name": "gender_t72_person__goa",
   "label": "Person, Goa",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    69,
    71.9,
    78.9
   ],
   "group": "Person",
   "geo": "Goa"
  },
  "male__gujarat": {
   "name": "gender_t72_male__gujarat",
   "label": "Male, Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.6,
    64,
    63.7
   ],
   "group": "Male",
   "geo": "Gujarat"
  },
  "female__gujarat": {
   "name": "gender_t72_female__gujarat",
   "label": "Female, Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    39.3,
    43.6,
    41.8
   ],
   "group": "Female",
   "geo": "Gujarat"
  },
  "person__gujarat": {
   "name": "gender_t72_person__gujarat",
   "label": "Person, Gujarat",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50.9,
    53.9,
    52.8
   ],
   "group": "Person",
   "geo": "Gujarat"
  },
  "male__haryana": {
   "name": "gender_t72_male__haryana",
   "label": "Male, Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.6,
    69.5,
    71.2
   ],
   "group": "Male",
   "geo": "Haryana"
  },
  "female__haryana": {
   "name": "gender_t72_female__haryana",
   "label": "Female, Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.8,
    45.7,
    51.8
   ],
   "group": "Female",
   "geo": "Haryana"
  },
  "person__haryana": {
   "name": "gender_t72_person__haryana",
   "label": "Person, Haryana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.4,
    57.6,
    61.6
   ],
   "group": "Person",
   "geo": "Haryana"
  },
  "male__himachal_pradesh": {
   "name": "gender_t72_male__himachal_pradesh",
   "label": "Male, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    73.3,
    72.3,
    74
   ],
   "group": "Male",
   "geo": "Himachal Pradesh"
  },
  "female__himachal_pradesh": {
   "name": "gender_t72_female__himachal_pradesh",
   "label": "Female, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.9,
    55.2,
    54.1
   ],
   "group": "Female",
   "geo": "Himachal Pradesh"
  },
  "person__himachal_pradesh": {
   "name": "gender_t72_person__himachal_pradesh",
   "label": "Person, Himachal Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.2,
    63.4,
    63.6
   ],
   "group": "Person",
   "geo": "Himachal Pradesh"
  },
  "male__jammu_kashmir": {
   "name": "gender_t72_male__jammu_kashmir",
   "label": "Male, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    70.8,
    68.1,
    71.8
   ],
   "group": "Male",
   "geo": "Jammu & Kashmir"
  },
  "female__jammu_kashmir": {
   "name": "gender_t72_female__jammu_kashmir",
   "label": "Female, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.7,
    41.7,
    49.9
   ],
   "group": "Female",
   "geo": "Jammu & Kashmir"
  },
  "person__jammu_kashmir": {
   "name": "gender_t72_person__jammu_kashmir",
   "label": "Person, Jammu & Kashmir",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.8,
    55.1,
    61
   ],
   "group": "Person",
   "geo": "Jammu & Kashmir"
  },
  "male__jharkhand": {
   "name": "gender_t72_male__jharkhand",
   "label": "Male, Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.9,
    60.1,
    54.5
   ],
   "group": "Male",
   "geo": "Jharkhand"
  },
  "female__jharkhand": {
   "name": "gender_t72_female__jharkhand",
   "label": "Female, Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    29.2,
    35.3,
    35.6
   ],
   "group": "Female",
   "geo": "Jharkhand"
  },
  "person__jharkhand": {
   "name": "gender_t72_person__jharkhand",
   "label": "Person, Jharkhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    41.4,
    47.5,
    44.8
   ],
   "group": "Person",
   "geo": "Jharkhand"
  },
  "male__karnataka": {
   "name": "gender_t72_male__karnataka",
   "label": "Male, Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63.8,
    60.2,
    63.2
   ],
   "group": "Male",
   "geo": "Karnataka"
  },
  "female__karnataka": {
   "name": "gender_t72_female__karnataka",
   "label": "Female, Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    46.7,
    44.6,
    46.6
   ],
   "group": "Female",
   "geo": "Karnataka"
  },
  "person__karnataka": {
   "name": "gender_t72_person__karnataka",
   "label": "Person, Karnataka",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    55.1,
    52.4,
    54.8
   ],
   "group": "Person",
   "geo": "Karnataka"
  },
  "male__kerala": {
   "name": "gender_t72_male__kerala",
   "label": "Male, Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    75.7,
    76.7,
    77.7
   ],
   "group": "Male",
   "geo": "Kerala"
  },
  "female__kerala": {
   "name": "gender_t72_female__kerala",
   "label": "Female, Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    71.3,
    72.5,
    74.9
   ],
   "group": "Female",
   "geo": "Kerala"
  },
  "person__kerala": {
   "name": "gender_t72_person__kerala",
   "label": "Person, Kerala",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    73.3,
    74.5,
    76.1
   ],
   "group": "Person",
   "geo": "Kerala"
  },
  "male__ladakh": {
   "name": "gender_t72_male__ladakh",
   "label": "Male, Ladakh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    75.4,
    76.3,
    71.4
   ],
   "group": "Male",
   "geo": "Ladakh"
  },
  "female__ladakh": {
   "name": "gender_t72_female__ladakh",
   "label": "Female, Ladakh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.1,
    49.4,
    51.2
   ],
   "group": "Female",
   "geo": "Ladakh"
  },
  "person__ladakh": {
   "name": "gender_t72_person__ladakh",
   "label": "Person, Ladakh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    67.1,
    62.4,
    61.6
   ],
   "group": "Person",
   "geo": "Ladakh"
  },
  "male__lakshadweep": {
   "name": "gender_t72_male__lakshadweep",
   "label": "Male, Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    75.8,
    80.8,
    78.6
   ],
   "group": "Male",
   "geo": "Lakshadweep"
  },
  "female__lakshadweep": {
   "name": "gender_t72_female__lakshadweep",
   "label": "Female, Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    68.5,
    72.2,
    65.9
   ],
   "group": "Female",
   "geo": "Lakshadweep"
  },
  "person__lakshadweep": {
   "name": "gender_t72_person__lakshadweep",
   "label": "Person, Lakshadweep",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    72.2,
    75.9,
    72.7
   ],
   "group": "Person",
   "geo": "Lakshadweep"
  },
  "male__madhya_pradesh": {
   "name": "gender_t72_male__madhya_pradesh",
   "label": "Male, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.9,
    53.9,
    54.6
   ],
   "group": "Male",
   "geo": "Madhya Pradesh"
  },
  "female__madhya_pradesh": {
   "name": "gender_t72_female__madhya_pradesh",
   "label": "Female, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    30.8,
    33.4,
    33.3
   ],
   "group": "Female",
   "geo": "Madhya Pradesh"
  },
  "person__madhya_pradesh": {
   "name": "gender_t72_person__madhya_pradesh",
   "label": "Person, Madhya Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42.3,
    43.9,
    44.1
   ],
   "group": "Person",
   "geo": "Madhya Pradesh"
  },
  "male__maharashtra": {
   "name": "gender_t72_male__maharashtra",
   "label": "Male, Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    69.7,
    72.5,
    73.3
   ],
   "group": "Male",
   "geo": "Maharashtra"
  },
  "female__maharashtra": {
   "name": "gender_t72_female__maharashtra",
   "label": "Female, Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.3,
    54.6,
    55.2
   ],
   "group": "Female",
   "geo": "Maharashtra"
  },
  "person__maharashtra": {
   "name": "gender_t72_person__maharashtra",
   "label": "Person, Maharashtra",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    60.4,
    63.6,
    64.2
   ],
   "group": "Person",
   "geo": "Maharashtra"
  },
  "male__manipur": {
   "name": "gender_t72_male__manipur",
   "label": "Male, Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    81.5,
    78.1,
    81.7
   ],
   "group": "Male",
   "geo": "Manipur"
  },
  "female__manipur": {
   "name": "gender_t72_female__manipur",
   "label": "Female, Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    66.8,
    61.1,
    67.3
   ],
   "group": "Female",
   "geo": "Manipur"
  },
  "person__manipur": {
   "name": "gender_t72_person__manipur",
   "label": "Person, Manipur",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    74,
    69.6,
    74.5
   ],
   "group": "Person",
   "geo": "Manipur"
  },
  "male__meghalaya": {
   "name": "gender_t72_male__meghalaya",
   "label": "Male, Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.4,
    57,
    52.2
   ],
   "group": "Male",
   "geo": "Meghalaya"
  },
  "female__meghalaya": {
   "name": "gender_t72_female__meghalaya",
   "label": "Female, Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.8,
    56.1,
    46.7
   ],
   "group": "Female",
   "geo": "Meghalaya"
  },
  "person__meghalaya": {
   "name": "gender_t72_person__meghalaya",
   "label": "Person, Meghalaya",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.5,
    56.6,
    49.3
   ],
   "group": "Person",
   "geo": "Meghalaya"
  },
  "male__mizoram": {
   "name": "gender_t72_male__mizoram",
   "label": "Male, Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    76.5,
    79.5,
    79.6
   ],
   "group": "Male",
   "geo": "Mizoram"
  },
  "female__mizoram": {
   "name": "gender_t72_female__mizoram",
   "label": "Female, Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    73.9,
    70.7,
    66.6
   ],
   "group": "Female",
   "geo": "Mizoram"
  },
  "person__mizoram": {
   "name": "gender_t72_person__mizoram",
   "label": "Person, Mizoram",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    75.3,
    75,
    73
   ],
   "group": "Person",
   "geo": "Mizoram"
  },
  "male__nagaland": {
   "name": "gender_t72_male__nagaland",
   "label": "Male, Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    85.2,
    80.3,
    78.5
   ],
   "group": "Male",
   "geo": "Nagaland"
  },
  "female__nagaland": {
   "name": "gender_t72_female__nagaland",
   "label": "Female, Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    72.6,
    69.6,
    67.9
   ],
   "group": "Female",
   "geo": "Nagaland"
  },
  "person__nagaland": {
   "name": "gender_t72_person__nagaland",
   "label": "Person, Nagaland",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    79.1,
    75.1,
    73.2
   ],
   "group": "Person",
   "geo": "Nagaland"
  },
  "male__odisha": {
   "name": "gender_t72_male__odisha",
   "label": "Male, Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52,
    52.1,
    52.9
   ],
   "group": "Male",
   "geo": "Odisha"
  },
  "female__odisha": {
   "name": "gender_t72_female__odisha",
   "label": "Female, Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    36.9,
    35,
    37.4
   ],
   "group": "Female",
   "geo": "Odisha"
  },
  "person__odisha": {
   "name": "gender_t72_person__odisha",
   "label": "Person, Odisha",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    44.3,
    43.4,
    44.9
   ],
   "group": "Person",
   "geo": "Odisha"
  },
  "male__puducherry": {
   "name": "gender_t72_male__puducherry",
   "label": "Male, Puducherry",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    75.8,
    76.5,
    79
   ],
   "group": "Male",
   "geo": "Puducherry"
  },
  "female__puducherry": {
   "name": "gender_t72_female__puducherry",
   "label": "Female, Puducherry",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    64.3,
    63.9,
    60.5
   ],
   "group": "Female",
   "geo": "Puducherry"
  },
  "person__puducherry": {
   "name": "gender_t72_person__puducherry",
   "label": "Person, Puducherry",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    69.6,
    69.7,
    69.3
   ],
   "group": "Person",
   "geo": "Puducherry"
  },
  "male__punjab": {
   "name": "gender_t72_male__punjab",
   "label": "Male, Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    63,
    64.6,
    63.3
   ],
   "group": "Male",
   "geo": "Punjab"
  },
  "female__punjab": {
   "name": "gender_t72_female__punjab",
   "label": "Female, Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    52.9,
    53.3,
    53.4
   ],
   "group": "Female",
   "geo": "Punjab"
  },
  "person__punjab": {
   "name": "gender_t72_person__punjab",
   "label": "Person, Punjab",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    57.9,
    59,
    58.4
   ],
   "group": "Person",
   "geo": "Punjab"
  },
  "male__rajasthan": {
   "name": "gender_t72_male__rajasthan",
   "label": "Male, Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.3,
    56.4,
    57.8
   ],
   "group": "Male",
   "geo": "Rajasthan"
  },
  "female__rajasthan": {
   "name": "gender_t72_female__rajasthan",
   "label": "Female, Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    27.6,
    27,
    30.9
   ],
   "group": "Female",
   "geo": "Rajasthan"
  },
  "person__rajasthan": {
   "name": "gender_t72_person__rajasthan",
   "label": "Person, Rajasthan",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    42,
    41.6,
    44
   ],
   "group": "Person",
   "geo": "Rajasthan"
  },
  "male__sikkim": {
   "name": "gender_t72_male__sikkim",
   "label": "Male, Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    56.9,
    58,
    59.1
   ],
   "group": "Male",
   "geo": "Sikkim"
  },
  "female__sikkim": {
   "name": "gender_t72_female__sikkim",
   "label": "Female, Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    49.1,
    45.9,
    47.6
   ],
   "group": "Female",
   "geo": "Sikkim"
  },
  "person__sikkim": {
   "name": "gender_t72_person__sikkim",
   "label": "Person, Sikkim",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    53.1,
    52,
    53.5
   ],
   "group": "Person",
   "geo": "Sikkim"
  },
  "male__tamil_nadu": {
   "name": "gender_t72_male__tamil_nadu",
   "label": "Male, Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    62.6,
    63,
    66.8
   ],
   "group": "Male",
   "geo": "Tamil Nadu"
  },
  "female__tamil_nadu": {
   "name": "gender_t72_female__tamil_nadu",
   "label": "Female, Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    47.9,
    51.6,
    53.2
   ],
   "group": "Female",
   "geo": "Tamil Nadu"
  },
  "person__tamil_nadu": {
   "name": "gender_t72_person__tamil_nadu",
   "label": "Person, Tamil Nadu",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.9,
    57.1,
    59.7
   ],
   "group": "Person",
   "geo": "Tamil Nadu"
  },
  "male__telangana": {
   "name": "gender_t72_male__telangana",
   "label": "Male, Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    58.9,
    62.3,
    62.7
   ],
   "group": "Male",
   "geo": "Telangana"
  },
  "female__telangana": {
   "name": "gender_t72_female__telangana",
   "label": "Female, Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    38.8,
    42.6,
    41.3
   ],
   "group": "Female",
   "geo": "Telangana"
  },
  "person__telangana": {
   "name": "gender_t72_person__telangana",
   "label": "Person, Telangana",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    48.7,
    52.3,
    51.7
   ],
   "group": "Person",
   "geo": "Telangana"
  },
  "male__tripura": {
   "name": "gender_t72_male__tripura",
   "label": "Male, Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    54.1,
    59.2,
    60.1
   ],
   "group": "Male",
   "geo": "Tripura"
  },
  "female__tripura": {
   "name": "gender_t72_female__tripura",
   "label": "Female, Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.9,
    48.9,
    47.8
   ],
   "group": "Female",
   "geo": "Tripura"
  },
  "person__tripura": {
   "name": "gender_t72_person__tripura",
   "label": "Person, Tripura",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    50,
    53.9,
    53.8
   ],
   "group": "Person",
   "geo": "Tripura"
  },
  "male__uttarakhand": {
   "name": "gender_t72_male__uttarakhand",
   "label": "Male, Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    71.3,
    60.9,
    72.3
   ],
   "group": "Male",
   "geo": "Uttarakhand"
  },
  "female__uttarakhand": {
   "name": "gender_t72_female__uttarakhand",
   "label": "Female, Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    47.2,
    38.4,
    52.4
   ],
   "group": "Female",
   "geo": "Uttarakhand"
  },
  "person__uttarakhand": {
   "name": "gender_t72_person__uttarakhand",
   "label": "Person, Uttarakhand",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    59.2,
    49.5,
    62
   ],
   "group": "Person",
   "geo": "Uttarakhand"
  },
  "male__uttar_pradesh": {
   "name": "gender_t72_male__uttar_pradesh",
   "label": "Male, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    61.1,
    75.1,
    63.4
   ],
   "group": "Male",
   "geo": "Uttar Pradesh"
  },
  "female__uttar_pradesh": {
   "name": "gender_t72_female__uttar_pradesh",
   "label": "Female, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    34.2,
    54.1,
    40
   ],
   "group": "Female",
   "geo": "Uttar Pradesh"
  },
  "person__uttar_pradesh": {
   "name": "gender_t72_person__uttar_pradesh",
   "label": "Person, Uttar Pradesh",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    47.5,
    64.4,
    51.5
   ],
   "group": "Person",
   "geo": "Uttar Pradesh"
  },
  "male__west_bengal": {
   "name": "gender_t72_male__west_bengal",
   "label": "Male, West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    51.4,
    51.1,
    51
   ],
   "group": "Male",
   "geo": "West Bengal"
  },
  "female__west_bengal": {
   "name": "gender_t72_female__west_bengal",
   "label": "Female, West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    40.5,
    42.2,
    43.5
   ],
   "group": "Female",
   "geo": "West Bengal"
  },
  "person__west_bengal": {
   "name": "gender_t72_person__west_bengal",
   "label": "Person, West Bengal",
   "color": "#5F6675",
   "unit": "percent",
   "data": [
    45.9,
    46.6,
    47.3
   ],
   "group": "Person",
   "geo": "West Bengal"
  }
 }
}