Kidal
First-level unit, Mali: people, area, the units inside and neighbours, with risk values when released.
Inside Kidal
The 4 ADM2 units of Kidal.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
146,612
0.6% of Mali.
165,720
+13% against GHSL; the two grids differ in method.
150,588 km²
1 people per km².
ML-8
Subdivision code as carried by the boundary source.
Kidal 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.
83,490
people. OCHA Mali · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
83.8%
of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).
224,354
humanitarian need. OCHA Humanitarian Programme Cycle Tools (HPC Tools) · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
159%
of the long-term average, latest dekad. WFP – World Food Programme · Creative Commons Attribution International (CC BY).
4 units inside Kidal
Each unit has its own page.
Boundary licences: Creative Commons Attribution 4.0 International (CC BY 4.0)
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Abeibara | – | 15,188 | 11,299 | 23,262.27 | 1 | 10.4% | 0 |
| Kidal | – | 80,709 | 104,261 | 18,400.33 | 4 | 55% | 0 |
| Tessalit | – | 30,268 | 47,278 | 81,737.05 | 0 | 20.6% | 0 |
| Tin-Essako | – | 20,446 | 2,881 | 27,188.02 | 1 | 13.9% | 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
- Bandari
- None at this resolution
- Viwanja vya ndege
- None at this resolution
- Major roads
- 769 H3 cells
- Reli
- None at this resolution
- Rivers and lakes
- None at this resolution
Risk values
Neighbouring units
- ML-7Gao
- ML-6Tombouctou
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen MLI ADM1, source: DNCT – Direction Nationale des Collectivités Territoriales, United Nations Office for the Coordination of Humanitarian Affairs, Mali, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2021
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen MLI ADM2, source: DNCT – Direction Nationale des Colelctivités Territorielles, DNP – Direction Nationale de la Population, United Nations Office for the Coordination of Humanitarian Affairs, Mali, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2017
- ADM3 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen MLI ADM3, source: DNCT – Direction Nationale des Colelctivités Territorielles, DNP – Direction Nationale de la Population, United Nations Office for the Coordination of Humanitarian Affairs, Mali, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2017
- 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.
- Nchi
- 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.
Hali
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.
A country profile reads public evidence about a place. It is not a statement by or about the policy of any government, takes no position on the status of any territory, and does not imply a national programme or participation. Names follow UN M49.
NXS-GRX si nini
NXS-GRX ni taarifa ya utafiti na uchambuzi wa hatari. Si daraja la mikopo wala la ESG na haitumii kipimo chochote cha daraja, si kigezo cha vyombo vya fedha, si takwimu rasmi, si onyo la dharura wala uainishaji rasmi, na si ushauri. Haipaswi kutumiwa kutathmini watu binafsi. Madaraja ya hatari ni mikanda kwenye kipimo kilichochapishwa, kamwe si mpangilio wa nchi au watu.
Ishara za Pulse na uwezekano wa mtazamo ni taarifa za kukaguliwa na mamlaka husika, kamwe si maonyo ya umma; maonyo rasmi hutoka tu kwa mamlaka zilizopewa jukumu.
Taasisi na vyanzo
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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.