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NXS-GRX-IND · Southern Asia · Regions

India: 36 provinces, states and territories

Every administrative level, from the 36 first-level units down to ADM4, on a terrain map with people, density and sources.

Page GRX-IND-REdition Baseline Edition 2026Evidence close 2026-09-30ISO IND / INStatus UN member stateValues not yet publishedMethod v1.0.0-draft
36
一级单位
14,736
4 个层级的单位
1,452,936,349
人(GHSL 2025)
地形
开放地形起伏数据

01地图

India by province, state and territory

36 first-level units and 735 second-level units inside them, raised by people per km² over the population grid and terrain. Select a unit to drill in or open its page.

FIG 1 · 36 first-level units of India
正在加载地图

单位高度随每 km² 人口升高 · GHSL 2025 栅格 · 地形 · ADM1 ADM2风险值将在发布时提供
最低五分位较低五分位中间五分位较高五分位最高五分位无数据
柱高和颜色表示各单位每 km² 人口,按所示单位的五分位数分级(地图图例给出分界值);网格上无人口的单位显示为灰色,不属于最低一级;底层栅格为 GHSL 2025 人口网格。这些是来源观测值,不是指数值。从列表中选择一项人道主义数据,按其为单位着色并抬升;每项数据的来源显示在单位页面上。选择一个单位可深入查看其下辖单位;地图上方的路径可逐级返回。
02级别

Every administrative level of India

每一级都来自为该国和该级别准入的边界来源,并有各自的许可协议。

ADM1
36 first-level units · geoBoundaries gbOpen · Creative Commons Attribution 2.5 India (CC BY 2.5 IN) · each with its own page
ADM2
735 second-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · each with its own page
ADM3
6,822 third-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · in the maps, tables and downloads of the pages above
ADM4
7,143 fourth-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · in the maps, tables and downloads of the pages above
03单位

All 36 first-level units

来自开放网格的两种人口估计,在每个边界内汇总。CSV 包含前两级;每个单位页面包含其以下各级。

Boundary licences: Creative Commons Attribution 2.5 India (CC BY 2.5 IN) · Open Data Commons Open Database License 1.0.

单位 代码 人口(GHSL) 人口(WorldPop) 面积 km² 每平方公里 占比 沿海 ≤ 10 m
安达曼-尼科巴群岛 IN-AN 342,218 373,774 7,333 47 0% 26,262
安得拉邦 IN-AP 53,250,916 53,225,350 163,729 325 3.7% 7,798,885
Arunāchal Pradesh IN-AR 1,823,688 1,687,575 82,220 22 0.1% 0
阿萨姆邦 IN-AS 36,126,932 37,418,058 78,635 459 2.5% 0
Bihār IN-BR 132,962,921 132,965,507 94,377 1,409 9.2% 0
Chandīgarh IN-CH 775,927 971,081 115 6,747 0.1% 0
Chhattīsgarh IN-CT 31,031,244 31,548,093 135,519 229 2.1% 0
Dādra and Nagar Haveli and Damān and Diu IN-DH 726,897 851,309 588 1,236 0.1% 62,931
Delhi IN-DL 21,975,274 21,946,427 1,488 14,768 1.5% 0
果阿邦 IN-GA 1,451,899 1,526,277 3,634 400 0.1% 300,707
Gujarāt IN-GJ 73,808,922 74,439,889 185,610 398 5.1% 7,162,400
Haryāna IN-HR 30,683,252 32,257,495 44,251 693 2.1% 0
Himāchal Pradesh IN-HP 7,654,028 7,727,799 55,733 137 0.5% 0
Jammu and Kashmīr IN-JK 19,206,429 18,880,811 54,697 351 1.3% 0
Jhārkhand IN-JH 41,218,563 41,633,157 80,051 515 2.8% 0
Karnātaka IN-KA 73,399,980 70,538,643 192,470 381 5.1% 516,833
喀拉拉邦 IN-KL 43,955,645 36,419,914 38,965 1,128 3% 7,171,538
Ladākh IN-LA 1,446,834 1,620,071 167,481 9 0.1% 0
拉克沙群岛 IN-LD 0 0 29 0 0% 77
中央邦 IN-MP 88,470,489 91,177,156 308,938 286 6.1% 0
Mahārāshtra IN-MH 129,805,214 132,029,909 308,414 421 8.9% 11,722,255
曼尼普尔邦 IN-MN 3,544,745 3,333,421 22,369 158 0.2% 0
Meghālaya IN-ML 4,195,686 3,760,906 22,459 187 0.3% 4,363
米佐拉姆邦 IN-MZ 1,417,912 1,275,181 21,144 67 0.1% 0
Nāgāland IN-NL 1,890,058 2,227,409 16,606 114 0.1% 0
奥里萨邦 IN-OR 47,574,101 48,230,139 156,051 305 3.3% 6,688,352
本地治里 IN-PY 1,446,176 1,321,271 503 2,875 0.1% 804,085
旁遮普 IN-PB 32,312,722 32,685,240 50,403 641 2.2% 0
Rājasthān IN-RJ 84,484,291 85,229,157 342,782 246 5.8% 2,752
锡金邦 IN-SK 670,768 696,503 7,117 94 0% 0
Tamil Nādu IN-TN 83,213,015 79,799,738 130,727 637 5.7% 7,610,884
Telangāna IN-TG 39,536,243 42,005,443 112,445 352 2.7% 0
特里普拉邦 IN-TR 4,477,288 4,648,987 10,426 429 0.3% 13,571
北方邦 IN-UP 243,157,604 249,526,613 241,477 1,007 16.7% 0
Uttarākhand IN-UT 11,978,300 11,975,728 53,474 224 0.8% 0
西孟加拉邦 IN-WB 102,920,168 103,303,986 85,385 1,205 7.1% 36,468,923
04风险

次国家风险产品

Values when released. Subnational risk values for India publish with the edition from The Global Risks Index, with intervals and sources. Until then these pages show boundaries, people and exposure only.
05来源

来源、致谢与许可协议

ADM1 边界
geoBoundaries (William & Mary geoLab), gbOpen IND ADM1, source: DataMeet India community, Election Commission of India, licence: Creative Commons Attribution 2.5 India (CC BY 2.5 IN) · source · represents 2011
ADM2 边界
geoBoundaries (William & Mary geoLab), gbOpen IND ADM2, source: Pathways Data Pvt. Ltd., lgdirectory.gov.in © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2021. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
ADM3 边界
geoBoundaries (William & Mary geoLab), gbOpen IND ADM3, source: Pathways Data Pvt. Ltd., lgdirectory.gov.in © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2018. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
ADM4 边界
geoBoundaries (William & Mary geoLab), gbOpen IND ADM4, source: Pathways Data Pvt. Ltd., lgdirectory.gov.in © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2019. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
底图
OpenFreeMap © OpenMapTiles (CC BY 4.0) · data © OpenStreetMap contributors (ODbL 1.0). Vector tiles requested by the reader’s browser, unmodified; the map falls back to plain land and sea when the host does not answer.
地形
Terrain Tiles (Mapzen, AWS Open Data), compiled from SRTM and other public elevation sources (NASA, USGS, ETOPO1, GMTED, EU-DEM under the Copernicus programme, Geoscience Australia, Kartverket, INEGI, LINZ, data.gov.uk). Display relief, not survey data.
人口
GHSL 2025 人口网格,欧盟委员会联合研究中心(CC BY 4.0),以 0.05° 显示并按单位求和;WorldPop 2025(CC BY 4.0)作为第二个估计。小于一个格网单元的单位采用其所在格网单元的密度。
国家
Natural Earth(公有领域)。
高程
GEBCO Compilation Group (2024) GEBCO 2024 Grid (public domain), reduced to 0.05°: the share of each cell’s land at or below 10 m, weighted by GHSL 2025 people for the low coastal zone.
立场
边界仅用于标示位置,不对任何边界、名称或地位持立场。

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