NXS-GRX-RUS · Eastern Europe · Regions

Altai Krai

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

Page GRX-RUS-REdition Baseline Edition 2026Evidence close 2026-09-30ISO RUS / RUStatus UN member stateValues not yet publishedMethod v1.0.0-draft
2,182,091
people (GHSL 2025)
167,369 km²
area
1.5%
of Russian Federation
69
units inside
01Map

Inside Altai Krai

The 69 ADM2 units of Altai Krai.

FIG 1 · 69 units inside Altai Krai
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. 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.

People · GHSL 2025

2,182,091

1.5% of Russian Federation.

People · WorldPop 2025

2,007,995

-8% against GHSL; the two grids differ in method.

Area

167,369 km²

13 people per km².

Code

RU-ALT

Subdivision code as carried by the boundary source.

03Units

69 units inside Altai Krai

Each unit has its own page.

Boundary licences: Open Data Commons Open Database License 1.0.

UnitCodePeople (GHSL)People (WorldPop)Area km²Per km²ShareCoast ≤ 10 m
Aleysky District–25,98321,5183,377.3481.2%0
Altaysky District–28,78730,0003,459.1381.3%0
Bayevsky District–9,9016,6092,697.5640.5%0
Biysky District–67,09664,1462,120.37323.1%0
Blagoveshchensky District–27,99823,2323,679.2381.3%0
Burlinsky District–10,9746,0142,730.7740.5%0
Bystroistoksky District–11,5867,9441,955.4660.5%0
Charyshsky District–11,2908,1296,806.4920.5%0
German National District–15,83613,1041,498.02110.7%0
Kalmansky District–17,86214,6571,773.19100.8%0
Kamensky District–50,66732,0863,671.45142.3%0
Khabarsky District–14,88010,4842,788.3350.7%0
Klyuchevsky District–16,64210,0493,053.6750.8%0
Kosikhinsky District–16,26511,4681,875.3790.7%0
Krasnogorsky District–14,31110,9513,061.5750.7%0
Krasnoshchyokovsky District–17,89511,4943,527.2550.8%0
Krutikhinsky District–10,1536,5682,046.3250.5%0
Kulundinsky District–20,96119,5591,978.27111%0
Kuryinsky District–9,6246,5962,458.3540.4%0
Kytmanovsky District–12,5987,9242,536.8150.6%0
Loktevsky District–26,27915,4912,336.2111.2%0
Mamontovsky District–21,05714,8942,300.8991%0
Mikhaylovsky District–19,14713,9973,109.9360.9%0
Novichikhinsky District–9,0276,2701,868.7350.4%0
Pankrushikhinsky District–11,9667,3872,775.8140.5%0
Pavlovsky District–29,15831,3352,181.07131.3%0
Pervomaysky District–65,42873,8583,594.67183%0
Petropavlovsky District–11,2859,3011,505.870.5%0
Pospelikhinsky District–21,66616,3492,402.2791%0
Rebrikhinsky District–21,26615,4182,651.8481%0
Rodinsky District–18,80711,5963,140.6160.9%0
Romanovsky District–11,7919,4982,13360.5%0
Rubtsovsky District–33,29523,8813,285.65101.5%0
Shelabolikhinsky District–12,3378,5782,579.9650.6%0
Shipunovsky District–30,63120,4864,223.1771.4%0
Smolensky District–34,33830,2871,994.04171.6%0
Soloneshensky District–9,6875,6073,512.7430.4%0
Soltonsky District–8,1845,3253,013.7630.4%0
Sovetsky District–14,50512,5201,552.3990.7%0
Suyetsky District–4,7302,7891,102.1940.2%0
Tabunsky District–9,0885,6251,769.5350.4%0
Talmensky District–43,09040,6393,908.2112%0
Togulsky District–7,7285,3232,007.2240.4%0
Topchikhinsky District–21,28416,2643,271.9171%0
Tretyakovsky District–12,8138,3801,990.0260.6%0
Troitsky District–22,62715,0924,166.4951%0
Tselinny District–14,90111,6412,882.3650.7%0
Tyumentsevsky District–14,9699,4322,238.5270.7%0
Uglovsky District–12,7166,7624,822.1830.6%0
Ust-Kalmansky District–13,9338,6082,315.6860.6%0
Ust-Pristansky District–12,2317,3902,691.4650.6%0
Volchikhinsky District–17,67012,6403,554.3950.8%0
Yegoryevsky District–12,7909,1242,459.3450.6%0
Yeltsovsky District–5,7014,1282,148.130.3%0
Zalesovsky District–13,7489,7223,281.8540.6%0
Zarinsky District–33,44524,6675,085.9871.5%0
Zavyalovsky District–17,41114,0572,211.3280.8%0
Zmeinogorsky District–18,92713,5512,849.2170.9%0
Zonalny District–17,07814,8811,618.32110.8%0
городской округ Алейск–15,73413,73844.453540.7%0
городской округ Барнаул–595,530717,905950.8962627.3%0
городской округ Белокуриха–4,4915,63494.46480.2%0
городской округ Бийск–148,604134,494294.525056.8%0
городской округ Заринск–28,02122,03778.723561.3%0
городской округ Новоалтайс–53,10163,50876.296962.4%0
городской округ Рубцовск–131,993106,183831,5906%0
городской округ Славгород–39,69434,1932,061.77191.8%0
городской округ Яровое–16,88014,97948.763460.8%0
ЗАТО Сибирский–2,4422,3344.45550.1%0
04Exposure

Open exposure layers

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

Urban areas
436.4 H3 cells
Ports
None at this resolution
Airports
1 H3 cells
Major roads
5,390.3 H3 cells
Railways
2,043.5 H3 cells
Rivers and lakes
797.3 H3 cells
05Risk

Risk values

Values when released. Subnational risk values for Altai Krai publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Russian Federation.
06Neighbours

Neighbouring units

07Sources

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen RUS 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 RUS 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.
Countries
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.
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