Skip to content

NXS-GRX-CHN · Eastern Asia · Regions

Ningxia Ningxia Hui Autonomous Region

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
7,278,755
people (GHSL 2025)
53,249 km²
area
0.5%
of China
21
units inside

01Map

Inside Ningxia Ningxia Hui Autonomous Region

The 21 ADM2 units of Ningxia Ningxia Hui Autonomous Region.

FIG 1 · 21 units inside Ningxia Ningxia Hui Autonomous Region
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

7,278,755

0.5% of China.

People · WorldPop 2025

7,577,560

+4% against GHSL; the two grids differ in method.

பரப்பு

53,249 km²

137 people per km².

குறியீடு

CHN

Subdivision code as carried by the boundary source.

03Units

21 units inside Ningxia Ningxia Hui Autonomous Region

Each unit has its own page.

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

Unit குறியீடு People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Guyuanxian – 501,183 579,980 3,579.15 140 6.8% 0
Haiyuanxian – 396,366 247,710 5,234.07 76 5.4% 0
Helanxian – 385,743 563,424 1,255.71 307 5.2% 0
Huinongxian – 134,326 92,377 251.02 535 1.8% 0
Huinongxian – 45,537 52,059 716.6 64 0.6% 0
Jingyuanxian – 75,597 50,889 701.59 108 1% 0
Lingwuxian – 331,469 347,648 3,702.87 90 4.5% 0
Longdexian – 148,450 68,268 999.61 149 2% 0
Pengyangxian – 195,808 118,501 2,407.62 81 2.7% 0
Pingluoxian – 287,375 387,433 1,846.72 156 3.9% 0
Qingtongxiashi – 301,333 223,429 1,860.22 162 4.1% 0
Shizhuishanshi – 253,715 177,103 593.63 427 3.4% 0
Taolexian – 35,632 61,424 723.29 49 0.5% 0
Tongxinxian – 409,327 506,029 6,825.35 60 5.5% 0
Wuzhongshi – 524,924 480,865 886.13 592 7.1% 0
Xijixian – 361,614 270,128 3,080.48 117 4.9% 0
Yanchixian – 162,346 197,985 6,615.54 25 2.2% 0
Yinchuanshi – 1,892,471 2,060,485 1,301.04 1,455 25.6% 0
Yongningxian – 243,461 404,751 939.87 259 3.3% 0
Zhongningxian – 256,488 318,548 2,105.45 122 3.5% 0
Zhongweixian – 445,609 413,442 4,757.35 94 6% 0
04வெளிப்பாடு

Open exposure layers

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

Urban areas
1,063.4 H3 cells
Ports
None at this resolution
Airports
None at this resolution
Major roads
2,129.3 H3 cells
Railways
523.9 H3 cells
Rivers and lakes
313.6 H3 cells
05இடர்

Risk values

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

Neighbouring units

07மூலங்கள்

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.
நாடுகள்
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.