Limburg
First-level unit, Netherlands: people, area, the units inside and neighbours, with risk values when released.
Inside Limburg
The 31 ADM2 units of Limburg.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
1,119,901
6.3% of Netherlands.
1,153,184
+3% against GHSL; the two grids differ in method.
2,202 km²
509 people per km².
NL-LI
Subdivision code as carried by the boundary source.
9,424
people on land at or below 10 m, 0.8% of the unit (GEBCO 2024 and GHSL 2025).
31 units inside Limburg
Each unit has its own page.
Boundary licences: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication.
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Beek | – | 24,607 | 25,922 | 21.12 | 1,165 | 2.1% | 0 |
| Beekdaelen | – | 30,555 | 30,388 | 78 | 392 | 2.6% | 0 |
| Beesel | – | 12,890 | 11,255 | 29.1 | 443 | 1.1% | 253 |
| Bergen (L) | – | 11,043 | 11,339 | 108.32 | 102 | 1% | 368 |
| Brunssum | – | 32,589 | 32,589 | 17.33 | 1,880 | 2.8% | 0 |
| Echt-Susteren | – | 37,944 | 36,016 | 104.28 | 364 | 3.3% | 0 |
| Eijsden-Margraten | – | 22,021 | 24,454 | 78.22 | 282 | 1.9% | 0 |
| Gennep | – | 21,534 | 23,176 | 50.36 | 428 | 1.9% | 3,469 |
| Gulpen-Wittem | – | 10,565 | 10,687 | 73.36 | 144 | 0.9% | 0 |
| Heerlen | – | 105,412 | 103,930 | 45.53 | 2,315 | 9.1% | 0 |
| Horst aan de Maas | – | 41,911 | 46,178 | 191.64 | 219 | 3.6% | 319 |
| Kerkrade | – | 36,762 | 36,762 | 22.15 | 1,660 | 3.2% | 0 |
| Landgraaf | – | 58,116 | 58,872 | 24.51 | 2,371 | 5% | 0 |
| Leudal | – | 38,343 | 38,758 | 164.36 | 233 | 3.3% | 0 |
| Maasgouw | – | 12,853 | 12,405 | 57.83 | 222 | 1.1% | 0 |
| Maastricht | – | 153,397 | 138,241 | 59.93 | 2,560 | 13.3% | 0 |
| Meerssen | – | 7,446 | 8,925 | 27.68 | 269 | 0.6% | 0 |
| Mook en Middelaar | – | 14,601 | 13,339 | 18.46 | 791 | 1.3% | 1,603 |
| Nederweert | – | 11,782 | 15,102 | 101.25 | 116 | 1% | 0 |
| Peel en Maas | – | 46,597 | 51,005 | 160.81 | 290 | 4% | 89 |
| Roerdalen | – | 23,864 | 25,558 | 88.37 | 270 | 2.1% | 0 |
| Roermond | – | 62,019 | 69,573 | 70.73 | 877 | 5.4% | 0 |
| Simpelveld | – | 7,563 | 8,663 | 15.92 | 475 | 0.7% | 0 |
| Sittard-Geleen | – | 84,970 | 86,929 | 80.16 | 1,060 | 7.4% | 0 |
| Stein | – | 23,349 | 21,331 | 22.84 | 1,022 | 2% | 0 |
| Vaals | – | 31,059 | 26,583 | 23.76 | 1,307 | 2.7% | 0 |
| Valkenburg aan de Geul | – | 18,071 | 19,121 | 36.5 | 495 | 1.6% | 0 |
| Venlo | – | 60,549 | 85,811 | 128.18 | 472 | 5.2% | 3,010 |
| Venray | – | 44,670 | 46,099 | 164.44 | 272 | 3.9% | 313 |
| Voerendaal | – | 16,559 | 16,925 | 31.4 | 527 | 1.4% | 0 |
| Weert | – | 50,290 | 52,189 | 105.3 | 478 | 4.4% | 0 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- None at this resolution
- Amachweba
- None at this resolution
- Izikhumulo zezindiza
- None at this resolution
- Major roads
- None at this resolution
- Ojantshi
- None at this resolution
- Rivers and lakes
- None at this resolution
Risk values
Neighbouring units
- NL-GEGelderland
- NL-NBNoord-Brabant
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen NLD ADM1, source: National Georegister, licence: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication · source · represents 2022
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen NLD ADM2, source: National Georegister, licence: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication · source · represents 2022
- 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.
- Amazwe
- 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.
Isimo
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
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Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.