{
 "meta": {
  "dossier": "states-hbs",
  "frequency": "annual",
  "base": "as published",
  "source": "Reserve Bank of India, Handbook of Statistics on Indian States (via DBIE)",
  "vintage": "2026-10-09",
  "mock": false,
  "geo": "IND",
  "releaseDate": null,
  "latestPeriod": "2023-04",
  "unit": "count",
  "periodKind": "fy",
  "sparse": false,
  "hbs": {
   "table": "132",
   "report": "1676",
   "section": "INDUSTRY",
   "title": "State-wise Number of Employees",
   "duplicates": []
  },
  "coverage": "State-wise Number of Employees: RBI Handbook of Statistics on Indian States, Table 132",
  "note": "DBIE report 1676, data provider \"Query 1\". Values exactly as DBIE serves them; each series carries its unit (scripts/lib/products/states.mjs HBS_UNITS, read from the table's unit column and divisor); DBIE's unit column says: Units. Periods: fiscal years, dated at April. Dimensions: none; measures: value. Jammu & Kashmir to 2018-19 (with Ladakh) and from 2019-20 (the UT) are separate series; 2019-20 straddles the change of 31 October 2019."
 },
 "dates": [
  "2008-04-01",
  "2009-04-01",
  "2010-04-01",
  "2011-04-01",
  "2012-04-01",
  "2013-04-01",
  "2014-04-01",
  "2015-04-01",
  "2016-04-01",
  "2017-04-01",
  "2018-04-01",
  "2019-04-01",
  "2020-04-01",
  "2021-04-01",
  "2022-04-01",
  "2023-04-01"
 ],
 "series": {
  "andaman_and_nicobar_islands": {
   "name": "andaman_and_nicobar_islands",
   "label": "Andaman & Nicobar Islands: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    61,
    76,
    87,
    75,
    101,
    95,
    91,
    94,
    86,
    73,
    74,
    70,
    52,
    50,
    46,
    40
   ]
  },
  "andhra_pradesh": {
   "name": "andhra_pradesh",
   "label": "Andhra Pradesh: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    171018,
    178860,
    227531,
    241555,
    88406,
    96165,
    94880,
    91655,
    97373,
    101048,
    111300,
    113296,
    118258,
    113226,
    115299,
    125342
   ]
  },
  "arunachal_pradesh": {
   "name": "arunachal_pradesh",
   "label": "Arunachal Pradesh: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    null,
    null,
    null,
    null,
    null,
    null,
    702,
    698,
    710,
    559,
    577,
    557,
    559,
    1114,
    1076,
    1090
   ]
  },
  "assam": {
   "name": "assam",
   "label": "Assam: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    21999,
    22224,
    24816,
    27982,
    25700,
    27144,
    30840,
    33683,
    35308,
    34759,
    35530,
    41656,
    42316,
    37258,
    51996,
    39429
   ]
  },
  "bihar": {
   "name": "bihar",
   "label": "Bihar: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    9574,
    11792,
    13407,
    15022,
    13782,
    15181,
    18229,
    14363,
    15488,
    16201,
    17317,
    18461,
    18654,
    17935,
    18908,
    20322
   ]
  },
  "chandigarh": {
   "name": "chandigarh",
   "label": "Chandigarh: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    3958,
    3637,
    4528,
    5106,
    4204,
    5082,
    4001,
    4530,
    4316,
    3958,
    3308,
    3817,
    3394,
    3107,
    3131,
    2765
   ]
  },
  "chhattisgarh": {
   "name": "chhattisgarh",
   "label": "Chhattisgarh: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    null,
    null,
    42895,
    46803,
    34040,
    34112,
    35380,
    32612,
    39186,
    36757,
    40497,
    41907,
    43139,
    42414,
    50526,
    58159
   ]
  },
  "dadra_and_nagar_haveli": {
   "name": "dadra_and_nagar_haveli",
   "label": "Dadra & Nagar Haveli: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    20885,
    23368,
    22627,
    23786,
    21046,
    64951,
    25340,
    22879,
    28141,
    25513,
    24724,
    25122,
    49749,
    66897,
    47754,
    47817
   ]
  },
  "daman_and_diu": {
   "name": "daman_and_diu",
   "label": "Daman & Diu: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    19005,
    21485,
    26901,
    21457,
    30417,
    20194,
    18423,
    17920,
    23026,
    24912,
    24022,
    28040,
    null,
    null,
    null,
    null
   ]
  },
  "delhi": {
   "name": "delhi",
   "label": "Delhi: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    37818,
    35294,
    42462,
    38959,
    37973,
    35964,
    41198,
    37683,
    34965,
    32722,
    35018,
    36245,
    31794,
    29520,
    30673,
    30271
   ]
  },
  "goa": {
   "name": "goa",
   "label": "Goa: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    12550,
    12754,
    17024,
    21261,
    18492,
    16970,
    20431,
    21726,
    19592,
    24667,
    22179,
    22099,
    24394,
    24306,
    24689,
    25950
   ]
  },
  "gujarat": {
   "name": "gujarat",
   "label": "Gujarat: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    248182,
    263690,
    299173,
    319373,
    312488,
    316957,
    353685,
    366794,
    381153,
    416999,
    447912,
    473357,
    479520,
    501721,
    528200,
    575859
   ]
  },
  "haryana": {
   "name": "haryana",
   "label": "Haryana: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    228763,
    119756,
    117515,
    144778,
    133763,
    142480,
    160265,
    154892,
    174292,
    181335,
    211342,
    215556,
    213411,
    214913,
    221725,
    241541
   ]
  },
  "himachal_pradesh": {
   "name": "himachal_pradesh",
   "label": "Himachal Pradesh: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    25393,
    28709,
    36474,
    46969,
    50917,
    61746,
    60862,
    52335,
    55946,
    59029,
    62844,
    60974,
    74920,
    62937,
    66314,
    63140
   ]
  },
  "jammu_and_kashmir_state": {
   "name": "jammu_and_kashmir_state",
   "label": "Jammu & Kashmir (state, with Ladakh, to 2018-19): Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    9408,
    8651,
    11173,
    10557,
    11401,
    13498,
    12465,
    15747,
    15741,
    15012,
    15252,
    null,
    null,
    null,
    null,
    null
   ]
  },
  "jammu_and_kashmir_ut": {
   "name": "jammu_and_kashmir_ut",
   "label": "Jammu & Kashmir (UT, from 2019-20): Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    14709,
    14112,
    13254,
    13152,
    14799
   ]
  },
  "jharkhand": {
   "name": "jharkhand",
   "label": "Jharkhand: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    40205,
    35915,
    59402,
    60840,
    55300,
    56070,
    37892,
    37356,
    44182,
    38796,
    61936,
    36240,
    36884,
    36982,
    35864,
    37706
   ]
  },
  "karnataka": {
   "name": "karnataka",
   "label": "Karnataka: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    169967,
    300914,
    171519,
    198155,
    193959,
    218707,
    223273,
    233503,
    234990,
    233710,
    231035,
    239280,
    225649,
    237619,
    260950,
    262239
   ]
  },
  "kerala": {
   "name": "kerala",
   "label": "Keralam: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    48080,
    48084,
    51913,
    55559,
    58521,
    59055,
    86988,
    63455,
    67037,
    66111,
    72143,
    77564,
    63615,
    67321,
    70239,
    72640
   ]
  },
  "ladakh": {
   "name": "ladakh",
   "label": "Ladakh: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    51,
    39,
    3,
    51,
    41
   ]
  },
  "lakshadweep": {
   "name": "lakshadweep",
   "label": "Lakshadweep: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    2
   ]
  },
  "madhya_pradesh": {
   "name": "madhya_pradesh",
   "label": "Madhya Pradesh: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    69588,
    69548,
    78270,
    80628,
    77727,
    82734,
    86104,
    89233,
    91198,
    95861,
    95296,
    97093,
    91267,
    96028,
    95665,
    106583
   ]
  },
  "maharashtra": {
   "name": "maharashtra",
   "label": "Maharashtra: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    449559,
    443547,
    491063,
    554790,
    542239,
    550679,
    571120,
    593483,
    555410,
    588797,
    558359,
    580889,
    560838,
    586117,
    645222,
    683790
   ]
  },
  "manipur": {
   "name": "manipur",
   "label": "Manipur: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    285,
    460,
    582,
    659,
    754,
    745,
    863,
    942,
    989,
    983,
    969,
    996,
    994,
    1024,
    1053,
    978
   ]
  },
  "meghalaya": {
   "name": "meghalaya",
   "label": "Meghalaya: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    982,
    1220,
    1566,
    2179,
    2500,
    2421,
    2464,
    2276,
    1839,
    1925,
    2033,
    2257,
    2077,
    2171,
    2062,
    2370
   ]
  },
  "mizoram": {
   "name": "mizoram",
   "label": "Mizoram: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    null,
    50,
    59,
    62,
    67,
    96
   ]
  },
  "nagaland": {
   "name": "nagaland",
   "label": "Nagaland: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    372,
    302,
    308,
    311,
    309,
    360,
    516,
    571,
    612,
    591,
    677,
    593,
    563,
    589,
    635,
    641
   ]
  },
  "odisha": {
   "name": "odisha",
   "label": "Odisha: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    37678,
    39289,
    53139,
    60678,
    49886,
    53234,
    47226,
    47977,
    49167,
    49805,
    47802,
    48034,
    47666,
    49515,
    50816,
    62223
   ]
  },
  "puducherry": {
   "name": "puducherry",
   "label": "Puducherry: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    9638,
    10587,
    10480,
    10262,
    11401,
    10140,
    9757,
    10686,
    9547,
    11863,
    12257,
    9834,
    10228,
    10809,
    10676,
    10428
   ]
  },
  "punjab": {
   "name": "punjab",
   "label": "Punjab: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    105101,
    106968,
    119144,
    109435,
    110265,
    111022,
    109722,
    112650,
    120399,
    134295,
    136154,
    129546,
    127146,
    137319,
    152110,
    148182
   ]
  },
  "rajasthan": {
   "name": "rajasthan",
   "label": "Rajasthan: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    73031,
    81942,
    91990,
    94287,
    97409,
    110840,
    108551,
    113002,
    117206,
    120809,
    124240,
    121409,
    121198,
    130567,
    145419,
    148924
   ]
  },
  "sikkim": {
   "name": "sikkim",
   "label": "Sikkim: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    null,
    null,
    1598,
    1757,
    2214,
    2507,
    2561,
    3507,
    3848,
    4588,
    5375,
    5554,
    3275,
    3906,
    4416,
    5032
   ]
  },
  "tamil_nadu": {
   "name": "tamil_nadu",
   "label": "Tamil Nadu: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    303435,
    335429,
    342501,
    336075,
    351024,
    391525,
    372691,
    383859,
    391999,
    416037,
    429550,
    443839,
    430906,
    441281,
    481807,
    501011
   ]
  },
  "telangana": {
   "name": "telangana",
   "label": "Telangana: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    null,
    null,
    null,
    null,
    113192,
    113922,
    103409,
    108246,
    114699,
    121741,
    117673,
    127887,
    122107,
    125633,
    140729,
    135338
   ]
  },
  "tripura": {
   "name": "tripura",
   "label": "Tripura: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    2156,
    2321,
    2544,
    2335,
    2392,
    2315,
    2359,
    2837,
    3060,
    3005,
    2980,
    3546,
    3669,
    3729,
    3636,
    3969
   ]
  },
  "uttarakhand": {
   "name": "uttarakhand",
   "label": "Uttarakhand: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    56547,
    49410,
    53915,
    68489,
    67736,
    74273,
    79463,
    79295,
    80967,
    86638,
    77695,
    94278,
    75957,
    78322,
    76769,
    77001
   ]
  },
  "uttar_pradesh": {
   "name": "uttar_pradesh",
   "label": "Uttar Pradesh: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    158577,
    166030,
    179302,
    189893,
    185637,
    205271,
    204352,
    205804,
    224999,
    227716,
    237761,
    241046,
    240130,
    256934,
    298690,
    340922
   ]
  },
  "west_bengal": {
   "name": "west_bengal",
   "label": "West Bengal: Number of Employees",
   "unit": "count",
   "group": "Industry",
   "data": [
    97979,
    103447,
    119869,
    117335,
    117034,
    121299,
    126936,
    135221,
    140510,
    144963,
    147795,
    154521,
    152014,
    146658,
    165791,
    163835
   ]
  }
 }
}