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I-Global Risks Index

NXS-GRX-KAZ · Central Asia · Regions

Almaty Region

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

Map All 16 first-level units
Page GRX-KAZ-REdition Baseline Edition 2026Evidence close 2026-09-30ISO KAZ / KZStatus UN member stateValues not yet publishedMethod v1.0.0-draft
2,129,745
people (GHSL 2025)
222,544 km²
area
10.7%
of Kazakhstan
16
units inside

01Imephu

Inside Almaty Region

The 16 ADM2 units of Almaty Region.

FIG 1 · 16 units inside Almaty Region
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

2,129,745

10.7% of Kazakhstan.

Abantu · WorldPop 2025

2,334,100

+10% against GHSL; the two grids differ in method.

Area

222,544 km²

10 people per km².

Code

KZ-ALM

Subdivision code as carried by the boundary source.

03Humanitarian data

Almaty Region 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.

Poverty headcount · 2015-12-31

0.6%

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

04Units

16 units inside Almaty Region

Each unit has its own page.

Boundary licences: Open Data Commons Open Database License 1.0.

Unit Code People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Aksuskiy – 43,361 32,181 13,354.88 3 1.8% 0
Alakolskiy – 80,172 63,305 36,275.83 2 3.2% 0
Balkhashskiy – 35,682 24,859 38,226.43 1 1.4% 0
Enbekshikazakhskiy – 337,622 291,516 9,612.79 35 13.7% 0
Iliyskiy – 326,532 528,825 8,362.2 39 13.2% 0
Karasayskiy – 451,633 892,668 2,200.07 205 18.3% 0
Karatal`skiy – 58,433 36,329 23,926.84 2 2.4% 0
Kerbulakskiy – 55,643 37,142 11,134.27 5 2.3% 0
Koksuskiy – 42,654 40,225 6,931.85 6 1.7% 0
Panfilovskiy – 135,066 111,907 10,390.04 13 5.5% 0
Raiymbekskiy – 96,206 57,479 13,895.74 7 3.9% 0
Sarkandskiy – 48,056 32,842 10,174.73 5 1.9% 0
Taldyqorghan – 257,038 234,456 4,387.53 59 10.4% 0
Talgarskiy – 283,405 461,515 6,046.35 47 11.5% 0
Uygurskiy – 73,180 55,669 8,446.59 9 3% 0
Zhambylskiy – 144,994 158,329 18,436.91 8 5.9% 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
194.8 H3 cells
Amachweba
None at this resolution
Izikhumulo zezindiza
None at this resolution
Major roads
3,791.4 H3 cells
Ojantshi
1,194.6 H3 cells
Rivers and lakes
605 H3 cells
06Ubungozi

Risk values

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

Neighbouring units

08Imithombo

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen KAZ 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 KAZ ADM2, 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.
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

I-NXS-GRX iwulwazi locwaningo nokuhlaziywa kobungozi. Akusona isilinganiso sesikweletu noma se-ESG futhi ayisebenzisi sikali sokulinganisa, akusona isilinganiso samathuluzi ezimali, akuzona izibalo ezisemthethweni, akusona isixwayiso esiphuthumayo noma ukuhlukaniswa okusemthethweni, futhi akusona iseluleko. Akumele isetshenziselwe ukuhlola abantu ngabanye. Izigaba zobungozi ziyimigoqo esikalini esishicilelwe, akukaze kube ukulandelana kwamazwe noma kwabantu.

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.