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NXS-GRX-CHN · Eastern Asia · Regions

山东省

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

Page GRX-CHN-REdition Baseline Edition 2026Evidence close 2026-09-30ISO CHN / CNStatus UN member stateValues not yet publishedMethod v1.0.0-draft
91,168,514
人(GHSL 2025)
151,120 km²
面积
6.4%
of China
109
所辖单位

01地图

Inside Shandong Province

The 109 ADM2 units of Shandong Province.

FIG 1 · 109 units inside Shandong Province
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。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

91,168,514

6.4% of China.

人口 · WorldPop 2025

95,443,358

与 GHSL 相差 +5%;两套网格的方法不同。

面积

151,120 km²

603 people per km².

代码

CHN

边界来源所载的行政区划代码。

低海拔沿海地带

8,256,525

people on land at or below 10 m, 9.1% of the unit (GEBCO 2024 and GHSL 2025).

03单位

109 units inside Shandong Province

每个单位都有自己的页面。

Boundary licences: Public Domain · Open Data Commons Public Domain Dedication and License (PDDL) v1.0.

单位 代码 人口(GHSL) 人口(WorldPop) 面积 km² 每平方公里 占比 沿海 ≤ 10 m
Anqiushi – 1,586,289 838,881 2,044.45 776 1.7% 0
Binzhoushi – 1,087,809 854,791 843.75 1,289 1.2% 474,113
Boxingxian – 622,464 590,233 1,040.1 598 0.7% 544,439
Changlexian – 493,477 478,272 1,036.57 476 0.5% 0
Changqingxian – 595,276 603,375 1,272.33 468 0.6% 0
Changshangxian – 1,098,115 1,003,063 1,768.46 621 1.2% 0
Changyishi – 1,055,224 614,296 1,690.49 624 1.1% 654,951
Chengwuxian – 630,685 586,721 1,004.99 628 0.7% 0
Chepingxian – 621,747 668,965 1,200.66 518 0.7% 0
Danxian – 992,140 941,978 1,653.23 600 1.1% 0
Dezhoushi – 517,385 877,055 331.99 1,558 0.5% 0
Dingtaoxian – 546,371 605,450 785.98 695 0.6% 0
Dongerxian – 360,654 349,560 740.66 487 0.4% 0
Dongmingxian – 710,740 771,529 1,393.41 510 0.8% 0
Dongpingxian – 540,736 483,152 943.47 573 0.6% 0
Dongyingshi – 193,110 200,508 1,650.56 117 0.2% 170,950
Dongyingshi – 327,899 354,835 585.39 560 0.3% 327,619
Feichengxian – 923,065 799,455 1,273.72 725 1% 0
Feixian – 824,111 849,148 1,810.05 455 0.9% 0
Gaomishi – 1,264,722 855,224 1,574.73 803 1.3% 37,116
Gaoqingxian – 410,047 327,493 928.29 442 0.4% 142,716
Gaotangixan – 467,188 431,538 935.86 499 0.5% 0
Guangraoxian – 532,953 541,370 1,151.3 463 0.6% 250,567
Guanxian – 791,539 700,775 1,207.4 656 0.8% 0
Haiyangxian – 564,109 469,569 1,784.04 316 0.6% 61,945
Hezheshi – 1,328,597 1,762,327 1,423.63 933 1.4% 0
Huantanxian – 571,852 624,683 577.25 991 0.6% 68,376
Huiminxian – 592,646 512,070 1,351.17 439 0.6% 57,815
Jiaonanshi – 750,460 1,113,934 1,691.72 444 0.8% 230,851
Jiaozhoushi – 953,679 1,118,424 1,337.75 713 1% 278,880
Jiaxiangxian – 860,008 847,469 991.28 868 0.9% 0
Jimoshi – 1,378,885 1,800,327 1,735.59 794 1.5% 201,210
Jinanshi – 3,976,975 5,079,312 1,853.93 2,145 4.2% 0
Jiningshi – 1,285,264 1,446,867 882.88 1,456 1.4% 0
Jinxiangxian – 612,390 639,012 917.61 667 0.7% 0
Jiyangxian – 539,863 515,813 1,168.43 462 0.6% 0
Junanxian – 820,198 764,431 1,729.9 474 0.9% 0
Juxian – 974,756 948,056 1,878.47 519 1% 0
Juyexian – 808,582 950,636 1,263.77 640 0.9% 0
Kenlixian – 802,870 956,593 1,728.07 465 0.9% 748,243
Laiwushi – 1,194,122 1,164,592 2,108.04 566 1.3% 0
Laixishi – 784,981 668,025 1,611.48 487 0.8% 0
Laiyangshi – 909,731 684,160 1,629.84 558 1% 29,004
Laizhoushi – 948,911 752,198 1,951.18 486 1% 164,428
Leningshi – 632,799 441,524 1,132.35 559 0.7% 24,498
Liangshanxian – 856,365 808,178 1,311.17 653 0.9% 0
Liaochengshi – 1,148,281 1,447,859 1,222.12 940 1.2% 0
Lijinxian – 312,169 201,420 1,087.14 287 0.3% 298,250
Lingxian – 628,158 701,250 1,379.29 455 0.7% 0
Linjuxian – 801,153 743,246 1,974.55 406 0.9% 0
Linqingshi – 753,588 811,384 956.2 788 0.8% 0
Linshuxian – 563,906 564,062 970.98 581 0.6% 0
Linyishi – 2,088,989 3,958,631 1,737.94 1,202 2.2% 0
Linyixian – 491,714 427,221 1,052.37 467 0.5% 0
Longkoushi – 650,176 764,213 957.91 679 0.7% 129,737
Mengyinxian – 477,687 458,170 1,665.34 287 0.5% 0
Mupingxian – 653,724 566,440 1,754.27 373 0.7% 88,101
Ningjinxian – 528,736 523,673 957.14 552 0.6% 0
Ningyangxian – 709,974 582,634 1,117.77 635 0.8% 0
Penglaixian – 412,943 405,890 1,341.43 308 0.4% 15,057
Pingdushi – 1,430,284 968,150 3,211.08 445 1.5% 209,257
Pingyinxian – 396,068 341,594 801.32 494 0.4% 0
Pingyixian – 848,485 826,547 1,699.3 499 0.9% 0
Pingyuanxian – 434,832 402,868 1,081.79 402 0.5% 0
Qihexian – 846,143 904,949 1,580.69 535 0.9% 0
Qingdaoshi – 3,177,737 3,864,921 1,025.31 3,099 3.4% 537,384
Qingdaoshi – 467,937 682,028 151.26 3,094 0.5% 137,678
Qingyunxian – 347,486 372,897 594.2 585 0.4% 280,280
Qingzhoushi – 873,888 913,236 1,539.18 568 0.9% 0
Qixiashi – 533,127 498,166 1,975.38 270 0.6% 0
Qufushi – 680,869 644,682 884.49 770 0.7% 0
Rizhaoshi – 1,019,270 1,483,130 1,726.92 590 1.1% 162,619
Rongchengshi – 658,116 598,099 1,592.41 413 0.7% 85,018
Rushanshi – 535,424 309,915 1,548.07 346 0.6% 53,863
Shanghexian – 538,912 453,779 1,102.13 489 0.6% 272
Shouguangshi – 1,312,155 1,339,305 2,112.77 621 1.4% 429,881
Sishuixian – 522,629 544,661 1,089.88 480 0.6% 0
Taianshi – 1,733,390 2,014,046 2,094.12 828 1.8% 0
Tanchengxian – 956,495 941,697 1,275.72 750 1% 0
Tengzhoushi – 2,632,570 1,792,020 2,098.06 1,255 2.8% 0
Weifangshi – 1,485,732 2,423,615 1,487.83 999 1.6% 108,920
Weihaishi – 431,020 865,693 453.63 950 0.5% 68,162
Wendengshi – 640,105 528,049 1,818.98 352 0.7% 58,069
Wenshangxian – 631,877 670,732 912.61 692 0.7% 0
Wuchengxian – 441,598 365,712 814.33 542 0.5% 0
Wulianxian – 459,464 380,401 1,492.32 308 0.5% 0
Wulixian – 441,062 526,134 1,713.73 257 0.5% 440,891
Wuqiaoxian – 253,177 179,467 529.39 478 0.3% 0
Xiajinxian – 496,610 434,371 865.83 574 0.5% 0
Xintaishi – 1,211,477 1,367,432 2,043.53 593 1.3% 0
Yangguxian – 757,183 625,915 996.16 760 0.8% 0
Yangxinxian – 414,079 384,813 789.65 524 0.4% 323,299
Yantaishi – 805,362 1,566,444 863.76 932 0.9% 224,178
Yanzhoushi – 565,583 711,147 551.58 1,025 0.6% 0
Yinanxian – 763,013 777,126 1,736.06 440 0.8% 0
Yishuixian – 965,948 899,552 2,406.83 401 1% 0
Yiyuanxian – 587,778 479,333 1,606.42 366 0.6% 0
Yuchengxian – 466,139 438,005 961.96 485 0.5% 0
Yunchengxian – 1,023,672 1,184,864 1,667.38 614 1.1% 0
Yutaixian – 471,140 420,214 666.09 707 0.5% 0
Zhangqiushi – 1,127,145 1,177,043 1,690.62 667 1.2% 0
Zhanhuaxian – 352,915 309,884 1,495.55 236 0.4% 352,873
Zhaoyuanshi – 539,017 488,045 1,490.07 362 0.6% 10,158
Zhaozhuangshi – 1,799,146 2,049,499 2,346.74 767 1.9% 0
Zhenchengxian – 744,973 781,993 1,080.62 689 0.8% 0
Zhouchengshi – 1,189,743 1,218,705 1,646.39 723 1.3% 0
Zhoupingxian – 759,165 745,287 1,289.04 589 0.8% 525
Zhuchengshi – 1,584,058 1,031,414 2,185.71 725 1.7% 0
Ziboshi – 3,196,996 3,277,592 2,965.69 1,078 3.4% 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
8,783.9 H3 cells
港口
在此分辨率下没有
机场
在此分辨率下没有
主要道路
10,107.2 H3 cells
铁路
2,138.1 H3 cells
河流和湖泊
551.4 H3 cells
05风险

风险值

Values when released. Subnational risk values for Shandong Province publish with the edition from The Global Risks Index. Until then, run a scenario on open data for China.
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 CHN ADM1, source: geoBoundaries, Wikimedia Commons, licence: Public Domain · source · represents 2019
ADM2 边界
geoBoundaries (William & Mary geoLab), gbOpen CHN ADM2, source: National Administration of Surveying, Mapping and Geoinformation of China, Revolutionary GIS, licence: Open Data Commons Public Domain Dedication and License (PDDL) v1.0 · source · represents 2017
ADM3 边界
geoBoundaries (William & Mary geoLab), gbOpen CHN ADM3, source: Lee Beryman, OpenStreetMap © 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.
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。