Khost
First-level unit, Afghanistan: people, area, the units inside and neighbours, with risk values when released.
Inside Khost
The 13 ADM2 units of Khost.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
1,380,907
3.1% of Afghanistan.
870,410
-37% against GHSL; the two grids differ in method.
4,252 km²
325 people per km².
AF-KHO
Subdivision code as carried by the boundary source.
Khost 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.
46.3%
of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).
104%
of the long-term average, latest dekad. WFP – World Food Programme · Creative Commons Attribution International (CC BY).
13 units inside Khost
Each unit has its own page.
Boundary licences: Public Domain
| Unit | Ikhowudi | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Bak | – | 50,262 | 33,408 | 171.04 | 294 | 3.6% | 0 |
| Gurbuz | – | 56,719 | 58,493 | 300.68 | 189 | 4.1% | 0 |
| Jaji Maidan | – | 56,932 | 41,910 | 327.89 | 174 | 4.1% | 0 |
| Khost(Matun) | – | 371,104 | 281,555 | 483.82 | 767 | 26.8% | 0 |
| Mando Zayi | – | 112,588 | 73,095 | 122.66 | 918 | 8.1% | 0 |
| Mosa Khail | – | 74,569 | 13,994 | 431.35 | 173 | 5.4% | 0 |
| Nadir Shah Kot | – | 100,780 | 41,439 | 331.28 | 304 | 7.3% | 0 |
| Qalandar | – | 23,709 | 3,110 | 157.83 | 150 | 1.7% | 0 |
| Sabri | – | 166,257 | 79,335 | 413.53 | 402 | 12% | 0 |
| Shamal | – | 31,613 | 8,040 | 173.22 | 183 | 2.3% | 0 |
| Spira | – | 56,055 | 20,596 | 494.5 | 113 | 4% | 0 |
| Tani | – | 163,232 | 111,083 | 490.41 | 333 | 11.8% | 0 |
| Tere Zayi | – | 122,036 | 103,148 | 396.01 | 308 | 8.8% | 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
- None at this resolution
- Ports
- None at this resolution
- Airports
- None at this resolution
- Major roads
- None at this resolution
- Railways
- None at this resolution
- Rivers and lakes
- None at this resolution
Risk values
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen AFG ADM1, source: Wikimedia, geoBoundaries, licence: Public Domain · source · represents 2007
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen AFG ADM2, source: Afghanistan Information Management Services, Esri Disaster Response Program, licence: Public Domain · source · represents 2014
- 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.
Imeko
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.