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NXS-GRX-IRN · Southern Asia · Regions

Iran (Islamic Republic of): 32 provinces, states and territories

Every administrative level, from the 32 first-level units down to ADM4, on a terrain map with people, density and sources.

Page GRX-IRN-REdition Baseline Edition 2026Evidence close 2026-09-30ISO IRN / IRStatus UN member stateValues not yet publishedMethod v1.0.0-draft
32
一级单位
4,300
4 个层级的单位
89,394,935
人(GHSL 2025)
地形
开放地形起伏数据

01地图

Iran (Islamic Republic of) by province, state and territory

32 first-level units and 432 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 · 32 first-level units of Iran (Islamic Republic of)
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 Iran (Islamic Republic of)

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
32 first-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · each with its own page
ADM2
432 second-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · each with its own page
ADM3
1,064 third-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · in the maps, tables and downloads of the pages above
ADM4
2,772 fourth-level units · geoBoundaries gbOpen · Creative Commons Attribution-ShareAlike 2.0 · in the maps, tables and downloads of the pages above
03单位

All 32 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。

边界许可: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
厄尔布尔士省 IR-09 3,788,130 3,442,205 5,234 724 4.2% 0
阿尔达比勒 IR-03 1,499,861 1,190,053 17,870 84 1.7% 0
布什尔 IR-06 1,082,159 1,299,665 22,925 47 1.2% 267,463
恰哈尔马哈勒-巴赫蒂亚里 IR-08 1,042,793 1,114,178 16,309 64 1.2% 0
东阿塞拜疆省 IR-01 3,394,449 4,322,384 47,536 71 3.8% 0
法尔斯 IR-14 9,273,779 5,333,732 122,707 76 10.4% 0
吉兰省 IR-19 2,171,449 2,477,953 14,058 154 2.4% 341,815
戈勒斯坦 IR-27 1,689,121 2,057,558 19,931 85 1.9% 41,199
哈马丹 IR-24 2,285,895 1,499,046 19,357 118 2.6% 0
霍尔木兹甘 IR-23 1,431,728 1,861,736 70,853 20 1.6% 219,878
伊拉姆 IR-05 449,363 628,580 19,580 23 0.5% 0
伊斯法罕 IR-04 5,106,436 5,755,521 107,221 48 5.7% 0
克尔曼 IR-15 4,616,218 3,310,389 179,426 26 5.2% 0
克尔曼沙阿 IR-17 1,750,263 1,808,239 24,953 70 2% 0
胡齐斯坦 IR-10 5,510,105 6,682,549 63,376 87 6.2% 708,703
科吉卢耶-博耶艾哈迈德 IR-18 706,781 830,830 15,386 46 0.8% 0
库尔德斯坦 IR-16 1,328,824 1,823,644 29,050 46 1.5% 0
洛雷斯坦 IR-20 1,851,300 1,603,347 28,261 66 2.1% 0
中央省 IR-22 1,746,721 1,311,452 29,072 60 2% 0
马赞德兰省 IR-21 3,001,289 3,682,799 23,747 126 3.4% 257,781
马赞德兰省 IR-21 38,526 48,319 230 168 0% 2,990
北呼罗珊 IR-31 829,385 735,891 28,168 29 0.9% 0
加兹温 IR-28 1,125,345 1,475,670 15,552 72 1.3% 0
库姆 IR-26 1,191,461 1,635,950 11,498 104 1.3% 0
礼萨呼罗珊 IR-30 10,212,798 7,561,112 117,851 87 11.4% 0
塞姆南 IR-12 740,115 884,522 97,216 8 0.8% 0
锡斯坦-俾路支斯坦 IR-13 2,454,421 3,169,688 178,336 14 2.7% 40,267
南呼罗珊 IR-29 662,743 847,360 149,458 4 0.7% 0
德黑兰 – 13,136,297 16,260,247 13,615 965 14.7% 0
西阿塞拜疆省 IR-02 3,298,825 3,678,350 39,750 83 3.7% 0
亚兹德 IR-25 1,029,071 1,429,017 73,840 14 1.2% 0
赞詹 IR-11 949,284 1,117,101 21,746 44 1.1% 0
04风险

次国家风险产品

Values when released. Subnational risk values for Iran (Islamic Republic of) 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 IRN ADM1, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
ADM2 边界
geoBoundaries (William & Mary geoLab), gbOpen IRN ADM2, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. 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 IRN ADM3, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. 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 IRN ADM4, source: Open Street Map, licence: Creative Commons Attribution-ShareAlike 2.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2021. Offered under the same licence (Creative Commons Attribution-ShareAlike 2.0), 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。

Explore Iran (Islamic Republic of)

打开任一单位、下载每一级,或基于开放数据运行情景。