Khon Kaen Province
First-level unit, Thailand: people, area, the units inside and neighbours, with risk values when released.
Inside Khon Kaen Province
The 26 ADM2 units of Khon Kaen Province.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
1,734,143
2.4% of Thailand.
1,550,617
-11% against GHSL; the two grids differ in method.
10,774 km²
161 people per km².
TH-40
Subdivision code as carried by the boundary source.
Khon Kaen Province in humanitarian data
Source observations from the Humanitarian Data Exchange, matched to this unit by name, each with its reference date, provider and licence. They are not index values.
1,569,539
people. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
58%
of the long-term average, latest dekad. WFP – World Food Programme · Creative Commons Attribution International (CC BY).
26 units inside Khon Kaen Province
Each unit has its own page.
Boundary licences: Open Data Commons Open Database License 1.0 · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)
| Unit | कोड | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Ban Fang | – | 61,586 | 23,214 | 342.54 | 180 | 3.6% | 0 |
| Ban Haet | – | 27,817 | 16,843 | 218.66 | 127 | 1.6% | 0 |
| Ban Phai | – | 94,582 | 63,485 | 498.63 | 190 | 5.5% | 0 |
| Chonnabot | – | 46,424 | 29,739 | 319.72 | 145 | 2.7% | 0 |
| Chum Phae | – | 108,185 | 75,668 | 671.99 | 161 | 6.3% | 0 |
| Khao Suan Kwang | – | 23,262 | 16,836 | 357.14 | 65 | 1.4% | 0 |
| Khok Pho Chai | – | 23,237 | 9,396 | 260.52 | 89 | 1.4% | 0 |
| Kranuan | – | 57,462 | 30,540 | 480.2 | 120 | 3.4% | 0 |
| Mancha Khiri | – | 55,453 | 35,857 | 677.61 | 82 | 3.3% | 0 |
| Mueang Khon Kaen | – | 507,964 | 719,711 | 987.92 | 514 | 29.8% | 0 |
| Nam Phong | – | 89,493 | 63,999 | 744.35 | 120 | 5.2% | 0 |
| Non Sila | – | 24,003 | 17,415 | 182.06 | 132 | 1.4% | 0 |
| Nong Na Kham | – | 31,095 | 16,311 | 176.04 | 177 | 1.8% | 0 |
| Nong Ruea | – | 82,836 | 60,607 | 529.24 | 157 | 4.9% | 0 |
| Nong Song Hong | – | 66,844 | 52,788 | 514.25 | 130 | 3.9% | 0 |
| Phon | – | 85,728 | 69,221 | 450.42 | 190 | 5% | 0 |
| Phra Yuen | – | 39,429 | 31,910 | 224.11 | 176 | 2.3% | 0 |
| Phu Pha Man | – | 16,618 | 14,613 | 306.05 | 54 | 1% | 0 |
| Phu Wiang | – | 63,260 | 46,757 | 602.23 | 105 | 3.7% | 0 |
| Pueai Noi | – | 14,479 | 6,507 | 138.53 | 105 | 0.8% | 0 |
| Sam Sung | – | 20,679 | 15,213 | 195.1 | 106 | 1.2% | 0 |
| Si Chomphu | – | 63,016 | 34,912 | 527.48 | 119 | 3.7% | 0 |
| Ubolratana | – | 40,229 | 25,229 | 408.84 | 98 | 2.4% | 0 |
| Waeng Noi | – | 29,494 | 21,094 | 292.75 | 101 | 1.7% | 0 |
| Waeng Yai | – | 18,626 | 15,452 | 228.59 | 81 | 1.1% | 0 |
| Wiang Kao | – | 14,176 | 14,227 | 313.24 | 45 | 0.8% | 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
- 133 H3 cells
- Ports
- None at this resolution
- Airports
- None at this resolution
- Major roads
- 758.9 H3 cells
- Railways
- 125.9 H3 cells
- Rivers and lakes
- 170.8 H3 cells
Risk values
Neighbouring units
- TH-39Nong Bua Lam Phu Province
- TH-30Nakhon Ratchasima Province
- TH-36Chaiyaphum Province
- TH-67Phetchabun Province
- TH-42Loei Province
- TH-46Kalasin
- TH-41Udon Thani Province
- TH-31Buri Ram Province
- TH-44Maha Sarakham Province
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen THA 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 THA ADM2, source: Royal Thai Survey Department, OCHA ROAP, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2019
- 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.
- देश
- 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.
स्थिती
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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Institutions and sources
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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.