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The Global Risks Index

NXS-GRX-KHM · South-eastern Asia · Regions

Kampot

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

Map All 25 first-level units
Page GRX-KHM-REdition Baseline Edition 2026Evidence close 2026-09-30ISO KHM / KHStatus UN member stateValues not yet publishedMethod v1.0.0-draft
528,790
people (GHSL 2025)
4,741 km²
area
3.1%
of Cambodia
8
units inside

01Ramani

Inside Kampot

The 8 ADM2 units of Kampot.

FIG 1 · 8 units inside Kampot
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.

Watu · GHSL 2025

528,790

3.1% of Cambodia.

Watu · WorldPop 2025

593,262

+12% against GHSL; the two grids differ in method.

Area

4,741 km²

112 people per km².

Code

KH-7

Subdivision code as carried by the boundary source.

Ukanda wa pwani ulio chini

197,067

people on land at or below 10 m, 37.3% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Kampot 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 · 2024-12-31

661,951

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

Poverty headcount · 2022-12-31

19.4%

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

Rainfall · 2026-10-10

68%

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

04Units

8 units inside Kampot

Each unit has its own page.

Boundary licences: Open Data Commons Open Database License 1.0 · Creative Commons Attribution 4.0 International (CC BY 4.0)

Unit Code People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Angkor Chey – 56,905 93,929 317.92 179 10.8% 17,842
Banteay Meas – 71,332 76,309 402.94 177 13.5% 47,248
Chhuk – 115,198 92,176 1,298.81 89 21.8% 0
Chum Kiri – 44,820 49,350 450.55 99 8.5% 0
Dang Tong – 40,462 68,397 316.39 128 7.7% 1,144
Kampong Trach – 71,490 80,971 379.39 188 13.5% 57,182
Kampot – 11,157 17,104 54.15 206 2.1% 9,612
Tuek Chhou – 117,425 115,027 1,521.33 77 22.2% 64,039
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
None at this resolution
Bandari
None at this resolution
Viwanja vya ndege
None at this resolution
Major roads
394.8 H3 cells
Reli
140.5 H3 cells
Rivers and lakes
None at this resolution
06Hatari

Risk values

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

Neighbouring units

08Vyanzo

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen KHM 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 KHM ADM2, source: Open Development Mekong, Open Development Cambodia, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2014
ADM3 boundaries
geoBoundaries (William & Mary geoLab), gbOpen KHM ADM3, source: Open Development Mekong, Open Development Cambodia, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · 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.
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

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.