NXS-GRX-POL · Eastern Europe · Regions

Silesian Voivodeship

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

Page GRX-POL-REdition Baseline Edition 2026Evidence close 2026-09-30ISO POL / PLStatus UN member stateValues not yet publishedMethod v1.0.0-draft
4,565,607
people (GHSL 2025)
12,291 km²
area
11.6%
of Poland
36
units inside
01Map

Inside Silesian Voivodeship

The 36 ADM2 units of Silesian Voivodeship.

FIG 1 · 36 units inside Silesian Voivodeship
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

4,565,607

11.6% of Poland.

People · WorldPop 2025

4,290,019

-6% against GHSL; the two grids differ in method.

Area

12,291 km²

371 people per km².

Code

PL-SL

Subdivision code as carried by the boundary source.

03Units

36 units inside Silesian Voivodeship

Each unit has its own page.

Boundary licences: Open Data Commons Open Database License 1.0.

UnitCodePeople (GHSL)People (WorldPop)Area km²Per km²ShareCoast ≤ 10 m
Bielsko County–169,732179,478456.343723.7%0
Bielsko-Biała–148,431135,296124.261,1953.3%0
Bytom–151,886124,71569.052,2003.3%0
Chorzów–27,11128,36433.218160.6%0
Częstochowa–213,023193,781159.131,3394.7%0
Dąbrowa Górnicza–142,193133,405188.467543.1%0
Gliwice–188,129173,518132.861,4164.1%0
Gliwice County–131,086128,974662.951982.9%0
Jastrzębie-Zdrój–87,53379,82485.21,0271.9%0
Jaworzno–116,720110,131151.967682.6%0
Katowice–335,215318,006164.172,0427.3%0
Mysłowice–67,81565,54065.441,0361.5%0
Piekary Śląskie–55,79242,54839.931,3971.2%0
powiat będziński–167,155161,444362.864613.7%0
powiat bieruńsko-lędziński–57,91457,632157.73671.3%0
powiat cieszyński–199,629190,332727.812744.4%0
powiat częstochowski–136,952131,4621,516.25903%0
powiat kłobucki–91,43787,183885.031032%0
powiat lubliniecki–77,01575,698819.71941.7%0
powiat mikołowski–114,827115,280231.934952.5%0
powiat myszkowski–71,06569,827477.591491.6%0
powiat pszczyński–132,843133,732469.72832.9%0
powiat rybnicki–80,65779,985223.083621.8%0
powiat zawierciański–116,384103,8031,000.161162.5%0
powiat żywiecki–166,073158,0771,036.261603.6%0
Racibórz County–106,23099,536541.891962.3%0
Ruda Śląska–141,192138,69177.411,8243.1%0
Rybnik–147,243135,560147.949953.2%0
Siemianowice Śląskie–46,61942,59225.421,8341%0
Sosnowiec–174,535153,29490.451,9303.8%0
Świętochłowice–87,82573,31113.196,6581.9%0
Tarnowskie Góry County–155,139152,969641.92423.4%0
Tychy–115,041108,38881.281,4152.5%0
Wodzisław County–157,982145,228285.645533.5%0
Zabrze–133,722108,12480.481,6622.9%0
Żory–53,46254,29164.418301.2%0
04Exposure

Open exposure layers

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

Urban areas
1,363.1 H3 cells
Ports
None at this resolution
Airports
None at this resolution
Major roads
734.3 H3 cells
Railways
1,305.5 H3 cells
Rivers and lakes
138.1 H3 cells
05Risk

Risk values

Values when released. Subnational risk values for Silesian Voivodeship publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Poland.
07Sources

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen POL 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 boundaries
geoBoundaries (William & Mary geoLab), gbOpen POL ADM2, source: Geoboundaries, 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.
ADM3 boundaries
geoBoundaries (William & Mary geoLab), gbOpen POL ADM3, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Creative Commons Attribution-ShareAlike 2.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. Offered under the same licence (Creative Commons Attribution-ShareAlike 2.0), 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.
Countries
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.
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