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NXS-GRX-CHN · Eastern Asia · Regions

Heilongjiang Province

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
38,386,233
people (GHSL 2025)
444,565 km²
area
2.7%
of China
79
units inside

01Map

Inside Heilongjiang Province

The 79 ADM2 units of Heilongjiang Province.

FIG 1 · 79 units inside Heilongjiang Province
Loading the map

Units rise with people per km² · GHSL 2025 raster · terrain · ADM1 ADM2Risk values when released
Lowest fifthLow fifthMiddle fifthHigh fifthHighest fifthNo data
Column height and colour show people per km² by unit, in quantile fifths among the units shown (the key on the map gives the breaks); units with no people on the grid are grey, not the lowest class; the raster beneath is the GHSL 2025 population grid. Source observations, not index values. Select a unit to drill into the units inside it; the path above the map climbs back.
02Figures

People, area and density

Source observations from open grids summed inside the boundary; not index values.

People · GHSL 2025

38,386,233

2.7% of China.

People · WorldPop 2025

25,492,903

-34% against GHSL; the two grids differ in method.

વિસ્તાર

444,565 km²

86 people per km².

કોડ

CHN

Subdivision code as carried by the boundary source.

03Units

79 units inside Heilongjiang Province

Each unit has its own page.

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

Unit કોડ People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Achengshi – 700,449 501,433 2,666.42 263 1.8% 0
Andashi – 942,356 718,915 3,878.12 243 2.4% 0
Baiquanxian – 493,392 139,612 3,454.23 143 1.3% 0
Baoqingxian – 415,670 296,333 10,920.44 38 1.1% 0
Bayanxian – 635,106 317,614 3,273.96 194 1.6% 0
Beianshi – 398,746 197,363 6,013.22 66 1% 0
Binxian – 611,073 374,698 3,877.68 158 1.6% 0
Bolixian – 698,329 187,610 4,214.29 166 1.8% 0
Daqingshi – 1,313,664 1,282,585 4,462.07 294 3.4% 0
Deduxian – 321,798 166,383 9,392.49 34 0.8% 0
Dongningxian – 184,668 177,309 7,269.4 25 0.5% 0
Duerbotemengguzuzizhixian – 234,090 162,067 5,803.47 40 0.6% 0
Fangzhengxian – 205,055 159,043 3,032.76 68 0.5% 0
Fujinshi – 609,304 380,823 7,840.58 78 1.6% 0
Fuyuanxian – 82,921 63,547 6,113.11 14 0.2% 0
Fuyuxian – 263,967 194,492 4,198.05 63 0.7% 0
Gannanxian – 435,178 246,974 5,346.3 81 1.1% 0
Haerbinshi – 4,998,987 5,057,989 1,482.26 3,373 12.9% 0
Hailinshi – 384,468 191,809 8,598.14 45 1% 0
Hailunshi – 822,084 288,545 5,147.23 160 2.1% 0
Hegangshi – 692,405 538,360 4,586.64 151 1.8% 0
Heiheshi – 145,613 194,960 13,858.04 11 0.4% 0
Huachuanxian – 252,083 116,520 3,047.15 83 0.6% 0
Huananxian – 468,555 161,037 4,371 107 1.2% 0
Hulanxian – 946,953 894,987 2,575.45 368 2.4% 0
Hulinxian – 266,977 211,554 9,229.67 29 0.7% 0
Humaxian – 117,678 23,323 31,417.51 4 0.3% 0
Jiamusishi – 781,083 615,178 933.15 837 2% 0
Jiayinxian – 52,297 29,481 6,942.68 8 0.1% 0
Jidongxian – 256,530 157,495 3,108.74 83 0.7% 0
Jixianxian – 349,238 242,498 2,169.55 161 0.9% 0
Jixishi – 784,670 560,093 1,984.35 395 2% 0
Kedongxian – 267,523 86,572 2,101.16 127 0.7% 0
Keshanxian – 372,078 143,612 3,170.6 117 1% 0
Lanxixian – 438,455 211,705 2,401.68 183 1.1% 0
Lindianxian – 252,935 136,258 3,530.59 72 0.7% 0
Linkouxian – 401,754 160,618 6,934.85 58 1% 0
Longjiangxian – 521,141 273,948 5,443.17 96 1.3% 0
Luobeixian – 181,647 108,431 6,748.48 27 0.5% 0
Mingshuixian – 272,474 102,545 2,187.08 125 0.7% 0
Mishanshi – 363,960 259,536 7,516.54 48 0.9% 0
Mohexian – 76,515 28,672 17,997.89 4 0.2% 0
Mudanjiangshi – 857,424 825,421 1,300.33 659 2.2% 0
Mulanxian – 242,418 87,514 2,887.27 84 0.6% 0
Mulingxian – 349,732 139,700 6,715.65 52 0.9% 0
Nehexian – 700,678 326,527 7,102.97 99 1.8% 0
Nenjiangxian – 475,213 242,033 15,947.55 30 1.2% 0
Ninganxian – 440,731 242,321 7,742.32 57 1.1% 0
Qinganxian – 366,254 162,509 5,019.93 73 0.9% 0
Qinggangxian – 442,661 158,502 2,538.02 174 1.1% 0
Qiqihaershi – 1,453,717 1,184,540 3,827.14 380 3.7% 0
Qitaiheshi – 309,066 307,546 768.4 402 0.8% 0
Raohexian – 108,480 74,006 6,489.5 17 0.3% 0
Shangzhishi – 590,550 350,125 8,742.25 68 1.5% 0
Shuangchengshi – 825,755 455,869 3,137.91 263 2.1% 0
Shuilengxian – 357,827 135,455 4,216.12 85 0.9% 0
Suangyashanshi – 455,743 257,785 1,300.27 350 1.2% 0
Suibinxian – 161,575 102,460 3,136.94 52 0.4% 0
Suifenheshi – 55,333 58,414 349.92 158 0.1% 0
Suihuashi – 880,539 513,594 2,769.35 318 2.3% 0
Sunwuxian – 86,639 44,024 4,309.33 20 0.2% 0
Tahexian – 85,229 24,221 14,083.83 6 0.2% 0
Tailaixian – 281,555 192,541 3,874.1 73 0.7% 0
Tangyuanxian – 386,006 294,806 3,791.54 102 1% 0
Tielishi – 307,432 181,060 6,313.23 49 0.8% 0
Tonghexian – 204,577 129,328 5,440.84 38 0.5% 0
Tongjiangshi – 255,531 158,561 6,186.37 41 0.7% 0
Wangkuixian – 409,755 149,889 2,068.7 198 1.1% 0
Wuchangshi – 949,550 588,094 7,630.22 124 2.4% 0
Wudalianchishi – 26,889 17,292 683.84 39 0.1% 0
Xunkexian – 90,930 58,097 17,315.19 5 0.2% 0
Yanshouxian – 236,687 127,097 2,997.96 79 0.6% 0
Yianxian – 425,648 233,196 3,603.48 118 1.1% 0
Yichunshi – 641,062 411,270 19,466.35 33 1.6% 0
Yilanxian – 399,296 178,903 4,601.78 87 1% 0
Youyixian – 103,904 77,305 1,530.6 68 0.3% 0
Zhaodongshi – 1,173,510 459,382 4,377.09 268 3% 0
Zhaoyuanxian – 377,121 257,971 4,002.48 94 1% 0
Zhaozhouxian – 357,283 213,235 2,353.94 152 0.9% 0
04સંપર્કમાં આવવું

Open exposure layers

Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.

Urban areas
3,767.3 H3 cells
Ports
None at this resolution
Airports
3 H3 cells
Major roads
14,931.5 H3 cells
Railways
10,555.4 H3 cells
Rivers and lakes
3,452.1 H3 cells
05જોખમ

Risk values

Values when released. Subnational risk values for Heilongjiang Province publish with the edition from The Global Risks Index. Until then, run a scenario on open data for China.
06Neighbours

Neighbouring units

07સ્ત્રોતો

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen CHN ADM1, source: geoBoundaries, Wikimedia Commons, licence: Public Domain · source · represents 2019
ADM2 boundaries
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 boundaries
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.
Basemap
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.
Terrain
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.
People
GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
દેશો
Natural Earth (public domain).
Elevation
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.
Position
Boundaries are shown for location only and take no position on any boundary, name or status.