Skip to content

I-Foundry

I-Global Risks Index

NXS-GRX-RUS · Eastern Europe · Regions

Krasnodar Krai

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

Map All 83 first-level units
Page GRX-RUS-REdition Baseline Edition 2026Evidence close 2026-09-30ISO RUS / RUStatus UN member stateValues not yet publishedMethod v1.0.0-draft
5,356,724
people (GHSL 2025)
75,057 km²
area
3.8%
of Russian Federation
44
units inside

01Imephu

Inside Krasnodar Krai

The 44 ADM2 units of Krasnodar Krai.

FIG 1 · 44 units inside Krasnodar 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.

Abantu · GHSL 2025

5,356,724

3.8% of Russian Federation.

Abantu · WorldPop 2025

5,821,440

+9% against GHSL; the two grids differ in method.

Area

75,057 km²

71 people per km².

Code

RU-KDA

Subdivision code as carried by the boundary source.

Indawo esogwini ephansi

502,127

people on land at or below 10 m, 9.4% of the unit (GEBCO 2024 and GHSL 2025).

03Units

44 units inside Krasnodar Krai

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
Abinsky District – 102,782 105,372 1,620.43 63 1.9% 10,868
Anapa Urban Okrug – 149,381 211,225 977.86 153 2.8% 18,741
Apsheronsky District – 104,998 99,727 2,440.09 43 2% 0
Beloglinsky District – 33,627 29,708 1,489.59 23 0.6% 0
Belorechensky District – 113,898 110,916 1,324.97 86 2.1% 0
Bryukhovetsky District – 57,468 46,428 1,372.52 42 1.1% 29,547
Dinskoy District – 135,049 163,527 1,347.21 100 2.5% 1
Gulkevichsky District – 100,164 88,621 1,391.58 72 1.9% 0
Kalininsky District – 53,273 50,172 1,495.34 36 1% 37,140
Kanevskoy District – 109,091 96,768 2,480.7 44 2% 28,291
Kavkazsky District – 141,593 121,063 1,222.88 116 2.6% 0
Korenovsky District – 90,531 85,176 1,420.99 64 1.7% 79
Krasnoarmeysky District – 105,115 97,039 1,889.73 56 2% 90,297
Krasnodar Municipality – 850,155 1,281,807 836.42 1,016 15.9% 65
Krylovsky District – 37,901 31,887 1,362.17 28 0.7% 0
Krymsky District – 141,064 131,883 1,601.89 88 2.6% 25,736
Kurganinsky District – 108,702 100,753 1,529.03 71 2% 0
Kushchovsky District – 71,298 62,549 2,364.02 30 1.3% 4,478
Labinsky District – 115,605 92,513 1,872.65 62 2.2% 0
Leningradsky District – 69,378 56,212 1,413.75 49 1.3% 338
Mostovsky District – 67,930 62,846 3,724.14 18 1.3% 0
Novokubansky District – 117,324 104,094 1,821.26 64 2.2% 0
Otradnensky District – 70,929 65,448 2,446.14 29 1.3% 0
Pavlovsky District – 72,028 60,040 1,783.16 40 1.3% 0
Primorsko-Akhtarsky District – 52,100 45,980 2,224.98 23 1% 25,529
Resort Town of Sochi (municipal formation) – 388,024 559,329 3,518.83 110 7.2% 23,490
Seversky District – 114,695 124,487 2,114.79 54 2.1% 3,261
Slavyansky District – 141,269 133,309 2,200.05 64 2.6% 69,761
Starominsky District – 43,711 39,356 1,056.44 41 0.8% 11,846
Tbilissky District – 53,664 49,525 989.6 54 1% 0
Temryuksky District – 101,266 101,388 1,945.61 52 1.9% 17,121
Tikhoretsky District – 132,077 104,905 1,822.11 72 2.5% 0
Timashyovsky District – 113,458 105,987 1,503.96 75 2.1% 19,764
Tuapsinsky District – 100,954 95,531 2,347.85 43 1.9% 2,937
Uspensky District – 43,070 37,931 1,127.67 38 0.8% 0
Ust-Labinsky District – 112,502 91,286 1,505 75 2.1% 0
Vyselkovsky District – 63,687 52,262 1,727.19 37 1.2% 0
Yeysky District – 132,322 117,295 2,103.83 63 2.5% 17,265
городской округ Армавир – 190,365 189,238 284.66 669 3.6% 0
городской округ Геленджик – 89,105 117,599 1,224.34 73 1.7% 4,690
городской округ Горячий Кл – 61,928 70,428 1,752.43 35 1.2% 0
городской округ Новороссий – 319,659 359,885 846.02 378 6% 24,264
Новопокровский район – 47,655 40,207 2,150.86 22 0.9% 0
Щербиновский район – 35,931 29,737 1,375.86 26 0.7% 7,898
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
2,121.8 H3 cells
Amachweba
2 H3 cells
Izikhumulo zezindiza
None at this resolution
Major roads
3,252.7 H3 cells
Ojantshi
2,019.4 H3 cells
Rivers and lakes
366.1 H3 cells
05Ubungozi

Risk values

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

Neighbouring units

07Imithombo

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.
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.