{
 "meta": {
  "dossier": "trade",
  "source": "Ministry of Commerce and Industry, TradeStat (DGCI&S customs data)",
  "vintage": "2026-10-09",
  "mock": false,
  "geo": "IND",
  "releaseDate": null,
  "revisionPolicy": "Each month is printed final (F) in its own month's table and revised final (R) in the table a year later; principal-commodity quick estimates are provisional (P). Every value carries its flag in meta.revision.",
  "latestPeriod": "2026-07",
  "frequency": "monthly",
  "base": "TradeStat, as published",
  "unit": "usd_million",
  "revision": {
   "2017-01-01": "R",
   "2017-02-01": "R",
   "2017-03-01": "R",
   "2017-04-01": "R",
   "2017-05-01": "R",
   "2017-06-01": "R",
   "2017-07-01": "R",
   "2017-08-01": "R",
   "2017-09-01": "R",
   "2017-10-01": "R",
   "2017-11-01": "R",
   "2017-12-01": "R",
   "2018-01-01": "R",
   "2018-02-01": "R",
   "2018-03-01": "R",
   "2018-04-01": "R",
   "2018-05-01": "R",
   "2018-06-01": "R",
   "2018-07-01": "R",
   "2018-08-01": "R",
   "2018-09-01": "R",
   "2018-10-01": "R",
   "2018-11-01": "R",
   "2018-12-01": "R",
   "2019-01-01": "R",
   "2019-02-01": "R",
   "2019-03-01": "R",
   "2019-04-01": "R",
   "2019-05-01": "R",
   "2019-06-01": "R",
   "2019-07-01": "R",
   "2019-08-01": "R",
   "2019-09-01": "R",
   "2019-10-01": "R",
   "2019-11-01": "R",
   "2019-12-01": "R",
   "2020-01-01": "R",
   "2020-02-01": "R",
   "2020-03-01": "R",
   "2020-04-01": "R",
   "2020-05-01": "R",
   "2020-06-01": "R",
   "2020-07-01": "R",
   "2020-08-01": "R",
   "2020-09-01": "R",
   "2020-10-01": "R",
   "2020-11-01": "R",
   "2020-12-01": "R",
   "2021-01-01": "R",
   "2021-02-01": "R",
   "2021-03-01": "R",
   "2021-04-01": "R",
   "2021-05-01": "R",
   "2021-06-01": "R",
   "2021-07-01": "R",
   "2021-08-01": "R",
   "2021-09-01": "R",
   "2021-10-01": "R",
   "2021-11-01": "R",
   "2021-12-01": "R",
   "2022-01-01": "R",
   "2022-02-01": "R",
   "2022-03-01": "R",
   "2022-04-01": "R",
   "2022-05-01": "R",
   "2022-06-01": "R",
   "2022-07-01": "R",
   "2022-08-01": "R",
   "2022-09-01": "R",
   "2022-10-01": "R",
   "2022-11-01": "R",
   "2022-12-01": "R",
   "2023-01-01": "R",
   "2023-02-01": "R",
   "2023-03-01": "R",
   "2023-04-01": "R",
   "2023-05-01": "R",
   "2023-06-01": "R",
   "2023-07-01": "R",
   "2023-08-01": "R",
   "2023-09-01": "R",
   "2023-10-01": "R",
   "2023-11-01": "R",
   "2023-12-01": "R",
   "2024-01-01": "R",
   "2024-02-01": "R",
   "2024-03-01": "R",
   "2024-04-01": "R",
   "2024-05-01": "R",
   "2024-06-01": "R",
   "2024-07-01": "R",
   "2024-08-01": "R",
   "2024-09-01": "R",
   "2024-10-01": "R",
   "2024-11-01": "R",
   "2024-12-01": "R",
   "2025-01-01": "R",
   "2025-02-01": "R",
   "2025-03-01": "R",
   "2025-04-01": "R",
   "2025-05-01": "R",
   "2025-06-01": "R",
   "2025-07-01": "R",
   "2025-08-01": "R",
   "2025-09-01": "R",
   "2025-10-01": "R",
   "2025-11-01": "R",
   "2025-12-01": "R",
   "2026-01-01": "R",
   "2026-02-01": "R",
   "2026-03-01": "R",
   "2026-04-01": "F",
   "2026-05-01": "F",
   "2026-06-01": "F",
   "2026-07-01": "F"
  },
  "coverage": "India's merchandise imports by region and sub-region, every month since January 2017, US$ million",
  "note": "TradeStat MEIDB region-wise table (every country under its region and sub-region). R print from the table a year later where one exists, else F. Country names are tidied from TradeStat's (CHINA P RP to China); the label carries the region."
 },
 "dates": [
  "2017-01-01",
  "2017-02-01",
  "2017-03-01",
  "2017-04-01",
  "2017-05-01",
  "2017-06-01",
  "2017-07-01",
  "2017-08-01",
  "2017-09-01",
  "2017-10-01",
  "2017-11-01",
  "2017-12-01",
  "2018-01-01",
  "2018-02-01",
  "2018-03-01",
  "2018-04-01",
  "2018-05-01",
  "2018-06-01",
  "2018-07-01",
  "2018-08-01",
  "2018-09-01",
  "2018-10-01",
  "2018-11-01",
  "2018-12-01",
  "2019-01-01",
  "2019-02-01",
  "2019-03-01",
  "2019-04-01",
  "2019-05-01",
  "2019-06-01",
  "2019-07-01",
  "2019-08-01",
  "2019-09-01",
  "2019-10-01",
  "2019-11-01",
  "2019-12-01",
  "2020-01-01",
  "2020-02-01",
  "2020-03-01",
  "2020-04-01",
  "2020-05-01",
  "2020-06-01",
  "2020-07-01",
  "2020-08-01",
  "2020-09-01",
  "2020-10-01",
  "2020-11-01",
  "2020-12-01",
  "2021-01-01",
  "2021-02-01",
  "2021-03-01",
  "2021-04-01",
  "2021-05-01",
  "2021-06-01",
  "2021-07-01",
  "2021-08-01",
  "2021-09-01",
  "2021-10-01",
  "2021-11-01",
  "2021-12-01",
  "2022-01-01",
  "2022-02-01",
  "2022-03-01",
  "2022-04-01",
  "2022-05-01",
  "2022-06-01",
  "2022-07-01",
  "2022-08-01",
  "2022-09-01",
  "2022-10-01",
  "2022-11-01",
  "2022-12-01",
  "2023-01-01",
  "2023-02-01",
  "2023-03-01",
  "2023-04-01",
  "2023-05-01",
  "2023-06-01",
  "2023-07-01",
  "2023-08-01",
  "2023-09-01",
  "2023-10-01",
  "2023-11-01",
  "2023-12-01",
  "2024-01-01",
  "2024-02-01",
  "2024-03-01",
  "2024-04-01",
  "2024-05-01",
  "2024-06-01",
  "2024-07-01",
  "2024-08-01",
  "2024-09-01",
  "2024-10-01",
  "2024-11-01",
  "2024-12-01",
  "2025-01-01",
  "2025-02-01",
  "2025-03-01",
  "2025-04-01",
  "2025-05-01",
  "2025-06-01",
  "2025-07-01",
  "2025-08-01",
  "2025-09-01",
  "2025-10-01",
  "2025-11-01",
  "2025-12-01",
  "2026-01-01",
  "2026-02-01",
  "2026-03-01",
  "2026-04-01",
  "2026-05-01",
  "2026-06-01",
  "2026-07-01"
 ],
 "series": {
  "region_1": {
   "name": "region_1",
   "label": "Europe, all countries",
   "color": "#A3A9B4",
   "region": null,
   "data": [
    4415.67,
    6248.18,
    6115.48,
    6211.72,
    6905.28,
    5666.87,
    4594.82,
    4965.04,
    5413.97,
    5267.57,
    7606.68,
    6812.59,
    5224.17,
    5601.1,
    5628.29,
    6242.92,
    7466.94,
    6538.22,
    7256.34,
    7239.72,
    6323.76,
    6133.58,
    6362.51,
    7441.83,
    5782.65,
    5529.2,
    7032.78,
    7178.94,
    8503.68,
    6137.54,
    6089.7,
    5428.39,
    5172.09,
    5689.83,
    5757.52,
    6417.55,
    5151.66,
    5786.98,
    4175.14,
    1809.81,
    3861.36,
    3131.54,
    4272.73,
    5581.64,
    4085.41,
    5304.33,
    5411.62,
    7399.31,
    6934.09,
    7240.71,
    10041.67,
    8330.28,
    5000.75,
    6009.67,
    6999.28,
    8417.29,
    8266.52,
    8405.9,
    6905.89,
    7719.4,
    6188.59,
    7730.62,
    5983.71,
    5663.03,
    8987.35,
    8194.06,
    7946.65,
    7302.86,
    8110.05,
    7692.7,
    7427.91,
    7131.53,
    6773.01,
    7154.65,
    8607.84,
    6818.6,
    8861.28,
    7711.35,
    7038.99,
    8723.59,
    7466.79,
    10793.04,
    7509.5,
    7701.27,
    5287.79,
    9421.66,
    6704.35,
    8045.35,
    7409.33,
    6191.3,
    7351.66,
    12676.7,
    7120.08,
    7066.67,
    10722.74,
    7915.89,
    7026.52,
    6025.15,
    7189.43,
    7778.8,
    7722.09,
    5801.81,
    8147.17,
    8460.18,
    11184.78,
    13376.53,
    7353.55,
    7949.49,
    11110.14,
    9584.75,
    6690.91,
    8006.82,
    7244.57,
    7882.86,
    9256.42
   ]
  },
  "region_2": {
   "name": "region_2",
   "label": "Africa, all countries",
   "color": "#A3A9B4",
   "region": null,
   "data": [
    2491.83,
    2362.55,
    3238.93,
    3019.53,
    2993.92,
    3018.12,
    2830.25,
    2872.97,
    2751.53,
    2986.98,
    3674.91,
    3482.77,
    2935.99,
    3197.11,
    4025.14,
    3784.07,
    3044.05,
    3519.59,
    4020.4,
    3534.07,
    2863.51,
    3928.79,
    3298.86,
    3266.85,
    3359.18,
    2833.93,
    3661.44,
    3334.79,
    3809.27,
    3697.19,
    3132.45,
    3135.82,
    3014.87,
    2535.65,
    3440.89,
    2877.51,
    2922.52,
    2739.6,
    3052.4,
    1248.62,
    1225.3,
    1644.81,
    1747.15,
    2176.15,
    2058.4,
    2391.7,
    2580.42,
    3739.54,
    3013.05,
    3062.39,
    3291.63,
    3579.09,
    2822.17,
    3025.53,
    4126.29,
    3495.86,
    4201.37,
    4456.89,
    3999.92,
    5527.08,
    4219.91,
    4506.73,
    5358.94,
    4637.52,
    5580.51,
    4473.69,
    4122.97,
    4090.41,
    3616.62,
    4698.87,
    2933.96,
    4433.97,
    2347.23,
    3090.38,
    2624.29,
    2334.18,
    3266.5,
    3399.38,
    3024,
    3190.05,
    2732.66,
    3787.26,
    2914.91,
    2692.8,
    2473.11,
    3888.13,
    3301.08,
    3212.1,
    4037.6,
    2909.47,
    2791.63,
    4255.87,
    2461.5,
    3572.33,
    4202.12,
    3414.78,
    2867.89,
    2219.17,
    3257.37,
    3647.13,
    3416.97,
    2621.34,
    4138.57,
    3704.64,
    4529.17,
    4997.58,
    4782.57,
    3651.29,
    5155.63,
    3707.61,
    3914.96,
    5316.24,
    5213.43,
    4503.8,
    4271.61
   ]
  },
  "region_3": {
   "name": "region_3",
   "label": "America, all countries",
   "color": "#A3A9B4",
   "region": null,
   "data": [
    4006.8,
    4095.58,
    4205.78,
    4760.66,
    4410.04,
    4608.73,
    4292.12,
    4263.11,
    4222.43,
    4943.04,
    5314.44,
    4895.43,
    4922.44,
    4695.09,
    4665.75,
    4712.12,
    5407.88,
    5876.12,
    5461.9,
    6771.09,
    5130.86,
    5473.19,
    5696,
    5101.51,
    4984.1,
    4861.69,
    5712.59,
    5953.52,
    6371.74,
    5441.5,
    5098.86,
    4621.73,
    4395.27,
    4850.43,
    4809.55,
    4947.14,
    4974.05,
    5513.08,
    4095.05,
    2571.22,
    3117.43,
    2831.18,
    3503.85,
    4097.24,
    3323.54,
    3663.13,
    4252.01,
    4537.49,
    4654.9,
    4812.35,
    5535.32,
    5117.47,
    4739.82,
    5544.36,
    5335.87,
    5575.31,
    7208.23,
    6532.61,
    6376.91,
    6931.89,
    5631.59,
    6585.9,
    6852.93,
    6604.8,
    6671.09,
    7085.22,
    7506.41,
    7557,
    6466.97,
    6588.87,
    7155.79,
    7368.9,
    6438.57,
    5237.42,
    6141.07,
    4735.89,
    6670.33,
    6149.61,
    6091.26,
    6517.85,
    5691.33,
    5916.57,
    6219.85,
    5918.5,
    5165.94,
    6170.81,
    5788.1,
    5736.46,
    6212.85,
    6535.8,
    6395.2,
    7364.18,
    6354.13,
    6771.27,
    6743.99,
    6684.35,
    6505.59,
    5551.41,
    6125.57,
    8099.88,
    5881.06,
    6489.91,
    7601.12,
    6623.37,
    7485.91,
    7803.76,
    9255.73,
    8667.51,
    8989.33,
    8936.07,
    7634.19,
    11039.34,
    11426.87,
    9965.93,
    10422.2
   ]
  },
  "region_4": {
   "name": "region_4",
   "label": "Asia, all countries",
   "color": "#A3A9B4",
   "region": null,
   "data": [
    20194.48,
    20108.03,
    23946.31,
    23135.23,
    22187.8,
    21637.62,
    20627.22,
    22596.89,
    23355.09,
    22581.56,
    22984.89,
    25071.49,
    26513.74,
    23124.35,
    25851.05,
    24319.8,
    27056.55,
    28075.41,
    26851.64,
    27546.94,
    27803.56,
    28375.56,
    27539.34,
    25419.54,
    26615.34,
    22771.45,
    26380.21,
    24645.48,
    26930.48,
    24886.74,
    25147.39,
    25671.88,
    24536.92,
    24017.07,
    23539.74,
    24320.85,
    26590.55,
    23019.1,
    18976.9,
    10789.27,
    14171.8,
    13087.33,
    18457.91,
    18514.83,
    20481.96,
    22029.27,
    20960.31,
    26343.33,
    26344.79,
    24779.03,
    29074.64,
    28157.18,
    25237.04,
    26515.27,
    28757.55,
    26790.41,
    35292.47,
    33270.49,
    34768.29,
    38718.65,
    34795.29,
    35695.19,
    43204.01,
    39325.64,
    37740.69,
    41044.52,
    40610.84,
    39288.8,
    40471.46,
    34886.9,
    35231.12,
    37625,
    32027.65,
    32986.64,
    37931.89,
    30821.65,
    32451.36,
    30852.47,
    32498.71,
    37537,
    33541.83,
    37260.73,
    33518.06,
    35626.3,
    34978.29,
    35432.18,
    34939.3,
    32055.72,
    36673.81,
    34238.29,
    37202.28,
    40060.17,
    37139.78,
    40976.74,
    36978.4,
    35751.21,
    38376.54,
    33525.81,
    41566.25,
    39424.3,
    37895.55,
    34260.48,
    39944.54,
    38154.94,
    41010.67,
    45476.1,
    36599.91,
    39660.78,
    43434.53,
    38223.13,
    37328.39,
    40024.24,
    39868.64,
    39407.32,
    43138.58
   ]
  },
  "region_5": {
   "name": "region_5",
   "label": "CIS & Baltics, all countries",
   "color": "#A3A9B4",
   "region": null,
   "data": [
    898.16,
    1021.36,
    1379.44,
    1008.62,
    1184.77,
    1066.69,
    1145.62,
    841.61,
    924.15,
    1138.44,
    1188.15,
    1044.12,
    874.15,
    1085.24,
    1374.05,
    889.59,
    928.1,
    788.3,
    788.05,
    587.61,
    687.62,
    756.43,
    744.9,
    1111.43,
    702.34,
    577.22,
    881.39,
    1257.26,
    1048.35,
    772.33,
    948.15,
    977.24,
    563.63,
    877.45,
    959.61,
    1020.17,
    1493.66,
    834.41,
    1164.25,
    660.22,
    472.57,
    621.43,
    1125.51,
    659.78,
    564.52,
    677.61,
    600.9,
    909.74,
    1070.04,
    846.37,
    944.42,
    852.2,
    1021.77,
    996.77,
    920.86,
    808.19,
    1309.87,
    966.69,
    965.08,
    1417.12,
    1724.81,
    1363.53,
    1673.9,
    1814.46,
    2135.4,
    3532.12,
    3572.04,
    3523.97,
    4674.75,
    4027.79,
    4185.2,
    4647.75,
    5224.99,
    5097.54,
    5596.26,
    4326.14,
    6179.89,
    5068,
    4475.91,
    6043.28,
    4775.56,
    5245.58,
    4582.92,
    4939.59,
    5791.41,
    4890.91,
    5815.28,
    5406.4,
    7296.4,
    6100.27,
    5704.84,
    4150.05,
    5647.45,
    6810.53,
    5203.16,
    4440.6,
    4983.15,
    3955.74,
    5586,
    6354.87,
    5874.29,
    4851.2,
    4994.28,
    4981.2,
    4733.91,
    4996.55,
    4949.35,
    4361.6,
    2970.81,
    3391.82,
    4294.84,
    7481.84,
    9582.03,
    9019.6,
    9039.4
   ]
  },
  "region_6": {
   "name": "region_6",
   "label": "Unspecified Region, all countries",
   "color": "#A3A9B4",
   "region": null,
   "data": [
    254.19,
    412.73,
    1060.73,
    698.89,
    596.93,
    1057,
    725.02,
    531.01,
    1295.49,
    583.84,
    621.12,
    724.4,
    612.84,
    632.55,
    1278.8,
    18.45,
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}
