Katsina
First-level unit, Nigeria: people, area, the units inside and neighbours, with risk values when released.
Inside Katsina
The 34 ADM2 units of Katsina.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
9,502,262
4.1% of Nigeria.
9,190,393
-3% against GHSL; the two grids differ in method.
24,328 km²
391 people per km².
NG-KT
Subdivision code as carried by the boundary source.
Katsina 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.
10,368,483
people. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
61.1%
of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).
34 units inside Katsina
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 |
|---|---|---|---|---|---|---|---|
| Bakori | – | 271,692 | 173,105 | 739.14 | 368 | 2.9% | 0 |
| Batagarawa | – | 316,951 | 335,379 | 558.11 | 568 | 3.3% | 0 |
| Batsari | – | 313,671 | 280,330 | 1,105.89 | 284 | 3.3% | 0 |
| Baure | – | 391,312 | 427,234 | 886.23 | 442 | 4.1% | 0 |
| Bindawa | – | 212,264 | 158,534 | 501.15 | 424 | 2.2% | 0 |
| Charanchi | – | 252,713 | 226,761 | 534.29 | 473 | 2.7% | 0 |
| Dan Musa | – | 193,137 | 169,523 | 1,089.7 | 177 | 2% | 0 |
| Dandume | – | 267,131 | 251,670 | 526.29 | 508 | 2.8% | 0 |
| Danja | – | 208,957 | 162,779 | 506.56 | 413 | 2.2% | 0 |
| Daura | – | 411,589 | 289,744 | 218.25 | 1,886 | 4.3% | 0 |
| Dutsi | – | 237,412 | 252,415 | 371.67 | 639 | 2.5% | 0 |
| Dutsin Ma | – | 386,785 | 319,760 | 676.22 | 572 | 4.1% | 0 |
| Faskari | – | 287,518 | 328,584 | 1,543.43 | 186 | 3% | 0 |
| Funtua | – | 341,696 | 273,953 | 385.15 | 887 | 3.6% | 0 |
| Ingawa | – | 278,242 | 254,909 | 706.21 | 394 | 2.9% | 0 |
| Jibia | – | 254,905 | 216,453 | 1,068.04 | 239 | 2.7% | 0 |
| Kafur | – | 321,629 | 286,559 | 984.27 | 327 | 3.4% | 0 |
| Kaita | – | 212,759 | 245,104 | 777.14 | 274 | 2.2% | 0 |
| Kankara | – | 379,339 | 370,193 | 1,265.35 | 300 | 4% | 0 |
| Kankia | – | 232,120 | 206,695 | 725.69 | 320 | 2.4% | 0 |
| Katsina | – | 553,250 | 602,152 | 134.58 | 4,111 | 5.8% | 0 |
| Kurfi | – | 197,174 | 196,236 | 588.56 | 335 | 2.1% | 0 |
| Kusada | – | 149,405 | 139,301 | 439.45 | 340 | 1.6% | 0 |
| Mai’Adua | – | 303,674 | 476,792 | 636.08 | 477 | 3.2% | 0 |
| Malumfashi | – | 356,999 | 301,398 | 893.55 | 400 | 3.8% | 0 |
| Mani | – | 280,535 | 236,333 | 673.58 | 416 | 3% | 0 |
| Mashi | – | 319,372 | 304,373 | 1,015.73 | 314 | 3.4% | 0 |
| Matazu | – | 163,520 | 175,526 | 545.24 | 300 | 1.7% | 0 |
| Musawa | – | 223,139 | 286,857 | 676.12 | 330 | 2.3% | 0 |
| Rimi | – | 249,405 | 227,246 | 465.39 | 536 | 2.6% | 0 |
| Sabuwa | – | 239,100 | 256,522 | 847.92 | 282 | 2.5% | 0 |
| Safana | – | 255,794 | 238,672 | 1,339.48 | 191 | 2.7% | 0 |
| Sandamu | – | 207,935 | 178,204 | 339.57 | 612 | 2.2% | 0 |
| Zango | – | 231,139 | 341,099 | 563.73 | 410 | 2.4% | 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
- 186 H3 cells
- Bandari
- None at this resolution
- Viwanja vya ndege
- 1 H3 cells
- Major roads
- 906.9 H3 cells
- Reli
- 136.7 H3 cells
- Rivers and lakes
- 129.9 H3 cells
Risk values
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen NGA ADM1, source: GRID3, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2022
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen NGA ADM2, source: GRID3, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · 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.
- 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
Mbinu, muundo na fasili za The Global Risks Index ni rasimu ya kazi ya maandalizi (2026), inayosambazwa kwa mapitio na maoni na si kwa utekelezaji. Hakuna thamani itakayoonekana hadi toleo litakapotolewa kutoka kato la ushahidi linalosimamiwa; kisha thamani zitakuwa na vipindi, madaraja, vyanzo na njia yake ya masahihisho. Viigaji huendesha mbinu zilizochapishwa kwa namba unazochagua na kamwe havionyeshi thamani ya NXS-GRX.
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
Nexus Consortium inasimamiwa na taasisi tatu huru zisizo za faida: The Global Centre for Risk and Innovation (GCRI), kupitia GCRI US huko Washington, DC na GCRI Canada huko Ontario, huku GCRI Canada ikiwa Taasisi Kiongozi, Sekretarieti ya Muungano na shirika kiongozi la mikataba; The Global Risks Forum (GRF); na The Global Risks Alliance (GRA). Watoa huduma za teknolojia, miundombinu na huduma hufanya kazi na Muungano kwa umbali chini ya makubaliano ya maandishi, kama kila mhusika mwingine wa nje katika muundo wa umma, sekta binafsi na sayari, na hawana jukumu lolote katika usimamizi wake.
Kila thamani ina utajo wa vyanzo vyake, ambavyo hubaki na leseni zao. Majina ya nje yanatajwa kwa ajili ya mwingiliano tu. Maandishi yaliyoandikwa na Nexus yanakusudiwa kuwa chini ya CC BY 4.0 yatakapotolewa.
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.