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I-Global Risks Index

NXS-GRX-ZWE · Eastern Africa · Regions

Matabeleland North

First-level unit, Zimbabwe: people, area, the units inside and neighbours, with risk values when released.

Map All 10 first-level units
Page GRX-ZWE-REdition Baseline Edition 2026Evidence close 2026-09-30ISO ZWE / ZWStatus UN member stateValues not yet publishedMethod v1.0.0-draft
1,013,971
people (GHSL 2025)
75,690 km²
area
5.8%
of Zimbabwe
9
units inside

01Imephu

Inside Matabeleland North

The 9 ADM2 units of Matabeleland North.

FIG 1 · 9 units inside Matabeleland North
Loading the map

Units rise with people per km² · GHSL 2025 raster · terrain · ADM1 ADM2Risk values when released
Lowest fifthLow fifthMiddle fifthHigh fifthHighest fifthNo data
Column height and colour show people per km² by unit, in quantile fifths among the units shown (the key on the map gives the breaks); units with no people on the grid are grey, not the lowest class; the raster beneath is the GHSL 2025 population grid. Source observations, not index values. Choose a humanitarian figure from the list to colour and raise the units by it; each figure shows its source on the unit page. Select a unit to drill into the units inside it; the path above the map climbs back.
02Figures

People, area and density

Source observations from open grids summed inside the boundary; not index values.

Abantu · GHSL 2025

1,013,971

5.8% of Zimbabwe.

Abantu · WorldPop 2025

955,915

-6% against GHSL; the two grids differ in method.

Area

75,690 km²

13 people per km².

Code

ZW15

Subdivision code as carried by the boundary source.

03Humanitarian data

Matabeleland North 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.

Population · 2023-12-31

964,606

people. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).

Poverty headcount · 2019-12-31

44.1%

of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).

Rainfall · 2026-10-10

171%

of the long-term average, latest dekad. WFP – World Food Programme · Creative Commons Attribution International (CC BY).

04Units

9 units inside Matabeleland North

Each unit has its own page.

Boundary licences: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)

Unit Code People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Binga – 183,974 176,735 13,382.42 14 18.1% 0
Bubi – 91,447 87,041 6,097.63 15 9% 0
Hwange – 78,353 87,110 27,058.32 3 7.7% 0
Hwange Urban – 48,971 39,870 310.7 158 4.8% 0
Lupane – 132,522 117,591 10,137.98 13 13.1% 0
Nkayi – 144,741 124,522 4,844.84 30 14.3% 0
Tsholotsho – 148,542 120,662 7,769.49 19 14.6% 0
Umguza – 134,778 170,151 6,061.17 22 13.3% 0
Victoria Falls – 50,643 32,233 27.6 1,835 5% 0
05Exposure

Open exposure layers

Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.

Urban areas
145.3 H3 cells
Amachweba
None at this resolution
Izikhumulo zezindiza
1 H3 cells
Major roads
1,557.8 H3 cells
Ojantshi
474.6 H3 cells
Rivers and lakes
537.8 H3 cells
06Ubungozi

Risk values

Values when released. Subnational risk values for Matabeleland North publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Zimbabwe.
Run a scenario Hazards Domain indices
07Neighbours

Neighbouring units

08Imithombo

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen ZWE ADM1, source: Zimbabwe National Statistics Agency (ZIMSTAT www.zimstat.co.zw) Central Statistics Office, OCHA ROSEA, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2020
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen ZWE ADM2, source: Zimbabwe National Statistics Agency (ZIMSTAT www.zimstat.co.zw) Central Statistics Office, OCHA ROSEA, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2020
ADM3 boundaries
geoBoundaries (William & Mary geoLab), gbOpen ZWE ADM3, source: OCHA ROSEA, Zimbabwe National Statistics Agency, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2020
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.

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.

Lokho i-NXS-GRX engeyikho

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Amasiginali e-Pulse namathuba okubikezela ayimininingwane yokubuyekezwa ngabaphathi abanegunya, akukaze kube izixwayiso zomphakathi; izixwayiso ezisemthethweni zivela kuphela kubaphathi abanegunya.

Izikhungo nemithombo

The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.

Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.

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.