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NXS-GRX-CHN · Eastern Asia · Regions

산둥성

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
명(GHSL 2025)
151,120 km²
면적
6.4%
of China
109
하위 단위

01지도

Inside Shandong Province

The 109 ADM2 units of Shandong Province.

FIG 1 · 109 units inside Shandong Province
지도를 불러오는 중

단위 높이는 km²당 인구에 비례 · GHSL 2025 래스터 · 지형 · ADM1 ADM2리스크 값은 공개 시 표시
최하위 5분위하위 5분위중간 5분위상위 5분위최상위 5분위데이터 없음
기둥 높이와 색상은 단위별 km²당 인구를 표시된 단위들 사이의 5분위로 보여 줍니다(구간 경계는 지도 범례에 있습니다). 격자상 인구가 없는 단위는 최하위 등급이 아니라 회색으로 표시됩니다. 아래 래스터는 GHSL 2025 인구 격자입니다. 원천 관측값이며 지수 값이 아닙니다. 단위를 선택하면 그 안의 하위 단위로 들어가며, 지도 위의 경로로 다시 올라갈 수 있습니다.
02수치

인구, 면적, 밀도

개방형 격자에서 경계 안을 합산한 출처 관측값이며 지수 값이 아닙니다.

인구 · GHSL 2025

91,168,514

6.4% of China.

인구 · WorldPop 2025

95,443,358

GHSL 대비 +5%. 두 격자는 산출 방법이 다릅니다.

면적

151,120 km²

603 people per km².

코드

CHN

경계 출처에 수록된 하위 구역 코드.

저지대 연안 지역

8,256,525

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

03단위

109 units inside Shandong Province

각 단위마다 별도 페이지가 있습니다.

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

단위 코드 인구(GHSL) 인구(WorldPop) 면적 km² km²당 비중 해안 ≤ 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
04노출

개방형 노출 레이어

중심점이 이 단위 안에 있고 각 Natural Earth 레이어를 포함하는 H3 해상도 3 셀의 개수입니다.

도시 지역
8,783.9 H3 cells
항만
이 해상도에서는 없음
공항
이 해상도에서는 없음
주요 도로
10,107.2 H3 cells
철도
2,138.1 H3 cells
하천과 호수
551.4 H3 cells
05리스크

리스크 값

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.
06인접 단위

인접 단위

07출처

출처, 크레딧, 라이선스

ADM1 경계
geoBoundaries (William & Mary geoLab), gbOpen CHN ADM1, source: geoBoundaries, Wikimedia Commons, licence: Public Domain · source · represents 2019
ADM2 경계
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 경계
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.
기본 지도
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.
지형
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.
인구
GHSL 2025 인구 격자, 유럽연합 집행위원회 공동연구센터(CC BY 4.0). 0.05°로 표시하고 단위별로 합산합니다. 두 번째 추정치로 WorldPop 2025(CC BY 4.0)를 사용합니다. 격자 셀보다 작은 단위는 그 아래 셀의 밀도를 적용합니다.
국가
Natural Earth(퍼블릭 도메인).
고도
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.
입장
경계는 위치 표시 목적으로만 제시되며, 어떠한 경계, 명칭 또는 지위에 대해서도 입장을 취하지 않습니다.