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NXS-GRX-IND · Southern Asia · Regions

Jammu and Kashmīr

First-level unit, India: people, area, the units inside and neighbours, with risk values when released.

Page GRX-IND-REdition Baseline Edition 2026Evidence close 2026-09-30ISO IND / INStatus UN member stateValues not yet publishedMethod v1.0.0-draft
19,206,429
人(GHSL 2025)
54,697 km²
面积
1.3%
of India
20
所辖单位

01地图

Inside Jammu and Kashmīr

The 20 ADM2 units of Jammu and Kashmīr.

FIG 1 · 20 units inside Jammu and Kashmīr
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数据概览

人口、面积和密度

来自开放网格、在边界内汇总的来源观测值;不是指数值。

人口 · GHSL 2025

19,206,429

1.3% of India.

人口 · WorldPop 2025

18,880,811

与 GHSL 相差 -2%;两套网格的方法不同。

面积

54,697 km²

351 people per km².

代码

IN-JK

边界来源所载的行政区划代码。

03单位

20 units inside Jammu and Kashmīr

每个单位都有自己的页面。

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
Anantnag – 1,213,364 827,118 2,745.25 442 7.9% 0
Badgam – 811,615 643,695 1,130.78 718 5.3% 0
Bandipore – 506,154 397,855 2,982 170 3.3% 0
Baramula – 1,204,050 967,758 1,957.45 615 7.9% 0
Doda – 614,292 298,606 2,359.94 260 4% 0
Ganderbal – 652,484 517,697 1,448.32 451 4.3% 0
Jammu – 1,935,174 2,380,252 2,098.24 922 12.6% 0
Kathua – 713,214 1,035,790 2,717.32 262 4.7% 0
Kishtwar – 216,430 192,022 7,915.78 27 1.4% 0
Kulgam – 571,383 320,213 1,201.29 476 3.7% 0
Kupwara – 1,166,946 669,071 2,834.45 412 7.6% 0
Pulwama – 723,542 504,921 828.12 874 4.7% 0
Punch – 703,237 653,256 1,988.07 354 4.6% 0
Rajouri – 647,677 1,018,701 2,501.62 259 4.2% 0
Ramban – 283,736 239,906 1,020.98 278 1.9% 0
Reasi – 388,348 469,881 2,094.47 185 2.5% 0
Samba – 344,664 547,717 832.88 414 2.2% 0
Shupiyan – 409,819 283,247 452.84 905 2.7% 0
Srinagar – 1,468,754 1,140,481 512.83 2,864 9.6% 0
Udhampur – 761,183 880,212 2,361.92 322 5% 0
04风险暴露

开放风险暴露图层

中心点落在该单位内且包含各 Natural Earth 图层的 H3 分辨率 3 单元格数量。

城市区域
146.6 个 H3 单元格
港口
在此分辨率下没有
机场
1 个 H3 单元格
主要道路
1,915.1 H3 cells
铁路
44.5 H3 cells
河流和湖泊
453.7 H3 cells
05风险

风险值

Values when released. Subnational risk values for Jammu and Kashmīr publish with the edition from The Global Risks Index. Until then, run a scenario on open data for India.
06相邻单位

相邻单位

07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。