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NXS-GRX-RUS · Eastern Europe · Regions

Russian Federation: 83 provinces, states and territories

Every administrative level, from the 83 first-level units down to ADM2, on a terrain map with people, density and sources.

Map All units Country map
Page GRX-RUS-REdition Baseline Edition 2026Evidence close 2026-09-30ISO RUS / RUStatus UN member stateValues not yet publishedMethod v1.0.0-draft
83
first-level units
2,410
units at 2 levels
142,487,414
people (GHSL 2025)
Terrain
open relief

01Map

Russian Federation by province, state and territory

83 first-level units, raised by people per km² over the population grid and terrain. Select a unit to drill in or open its page.

FIG 1 · 83 first-level units of Russian Federation
Loading the map

Units rise with people per km² · GHSL 2025 raster · terrain · ADM1Risk 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.
02Levels

Every administrative level of Russian Federation

Each level comes from the boundary source admitted for that country and level, with its own licence.

ADM1
83 first-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · each with its own page
ADM2
2,327 second-level units · geoBoundaries gbOpen · Open Data Commons Open Database License 1.0 · each with its own page
03Units

All 83 first-level units

Two population estimates from open grids, summed inside each boundary. The CSV carries the first two levels; each unit page carries the levels below it.

Boundary licences: Open Data Commons Open Database License 1.0.

Unit కోడ్ People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Adygea RU-AD 487,844 567,364 7,801 63 0.3% 58
Altai Krai RU-ALT 2,182,091 2,007,995 167,369 13 1.5% 0
Altai Republic RU-AL 215,516 209,110 92,657 2 0.2% 0
Amur Oblast RU-AMU 801,101 746,086 361,052 2 0.6% 0
Arkhangelsk Oblast RU-ARK 1,043,969 847,616 401,831 3 0.7% 374,529
Astrakhan Oblast RU-AST 1,032,638 925,755 52,610 20 0.7% 45,000
Bashkortostan RU-BA 4,172,354 4,066,038 142,361 29 2.9% 0
Belgorod Oblast RU-BEL 1,625,962 1,523,032 27,056 60 1.1% 382
Bryansk Oblast RU-BRY 1,144,467 1,098,676 34,780 33 0.8% 0
Buryatia RU-BU 929,968 967,818 350,322 3 0.7% 13
Chechnya RU-CE 1,608,496 1,606,855 15,791 102 1.1% 15,569
Chelyabinsk Oblast RU-CHE 3,364,942 3,394,515 88,238 38 2.4% 7
Chukotka Autonomous Okrug RU-CHU 38,776 41,014 713,984 0 0% 7,998
Chuvashia RU-CU 1,208,235 1,142,115 18,312 66 0.8% 0
Dagestan RU-DA 3,564,421 3,170,682 49,901 71 2.5% 143,153
Ingushetia RU-IN 455,954 549,427 3,408 134 0.3% 0
Irkutsk Oblast RU-IRK 2,278,175 2,315,852 771,189 3 1.6% 141
Ivanovo Oblast RU-IVA 970,090 844,583 21,552 45 0.7% 0
Jewish Autonomous Oblast RU-YEV 155,368 132,128 35,675 4 0.1% 0
Kabardino-Balkaria RU-KB 825,325 926,615 12,438 66 0.6% 0
Kaliningrad RU-KGD 950,563 1,011,619 13,416 71 0.7% 215,129
Kalmykia RU-KL 290,113 255,630 69,689 4 0.2% 20,305
Kaluga Oblast RU-KLU 1,042,782 1,082,861 29,675 35 0.7% 0
Kamchatka Krai RU-KAM 254,344 228,015 461,706 1 0.2% 11,979
Karachay-Cherkessia RU-KC 546,854 462,802 14,259 38 0.4% 0
Kemerovo Oblast RU-KEM 2,577,882 2,526,345 95,388 27 1.8% 0
Khabarovsk Krai RU-KHA 1,277,375 1,251,429 781,873 2 0.9% 28,408
Khakassia RU-KK 543,870 520,748 61,397 9 0.4% 0
Khanty-Mansiysk Autonomous Okrug – Ugra RU-KHM 1,693,144 1,785,675 531,692 3 1.2% 56,888
Kirov Oblast RU-KIR 1,114,480 1,046,675 119,964 9 0.8% 0
Komi Republic RU-KO 735,488 643,953 414,536 2 0.5% 0
Kostroma Oblast RU-KOS 602,371 534,294 59,936 10 0.4% 0
Krasnodar Krai RU-KDA 5,356,724 5,821,440 75,057 71 3.8% 502,127
Krasnoyarsk Krai RU-KYA 2,619,110 2,820,440 2,315,910 1 1.8% 6,675
Kurgan Oblast RU-KGN 754,824 697,918 71,300 11 0.5% 0
Kursk Oblast RU-KRS 997,404 1,030,089 29,884 33 0.7% 0
Leningrad oblast RU-LEN 2,198,573 1,999,868 73,879 30 1.5% 120,022
Lipetsk Oblast RU-LIP 1,102,934 1,123,149 23,971 46 0.8% 0
Magadan Oblast RU-MAG 114,968 120,830 459,522 0 0.1% 4,619
Mari El RU-ME 694,775 655,853 23,291 30 0.5% 0
Moscow RU-MOW 12,462,212 12,889,264 2,552 4,883 8.7% 0
Moscow Oblast RU-MOS 8,609,135 9,735,569 44,228 195 6% 0
Murmansk Oblast RU-MUR 682,454 579,407 142,567 5 0.5% 41,755
Nenets Autonomous Okrug RU-NEN 36,804 39,895 174,981 0 0% 19,015
Nizhny Novgorod Oblast RU-NIZ 3,169,924 3,020,516 76,620 41 2.2% 0
North Ossetia–Alania RU-SE 666,253 683,835 7,979 84 0.5% 0
Novgorod Oblast RU-NGR 549,535 553,636 54,791 10 0.4% 0
Novosibirsk Oblast RU-NVS 2,813,283 2,835,749 177,043 16 2% 0
Omsk Oblast RU-OMS 1,825,868 1,783,658 140,576 13 1.3% 0
Orenburg Oblast RU-ORE 1,843,268 1,760,094 123,848 15 1.3% 0
Oryol Oblast RU-ORL 738,303 695,880 24,550 30 0.5% 0
Penza Oblast RU-PNZ 1,304,331 1,191,224 43,215 30 0.9% 0
Perm Krai RU-PER 2,485,492 3,090,785 160,121 16 1.7% 0
Primorsky Krai RU-PRI 1,610,254 1,508,174 161,252 10 1.1% 79,002
Pskov Oblast RU-PSK 551,618 549,830 54,982 10 0.4% 0
Republic of Karelia RU-KR 517,911 425,947 155,727 3 0.4% 17,918
Republic of Mordovia RU-MO 804,547 749,573 25,831 31 0.6% 0
Rostov Oblast RU-ROS 4,057,159 4,096,447 100,707 40 2.8% 413,700
Ryazan Oblast RU-RYA 1,059,975 1,071,155 39,538 27 0.7% 0
Saint Petersburg RU-SPE 5,143,721 5,632,922 1,433 3,589 3.6% 958,919
Sakha Republic RU-SA 911,307 991,242 3,049,427 0 0.6% 6,595
Sakhalin Oblast RU-SAK 386,289 412,784 84,723 5 0.3% 52,529
Samara Oblast RU-SAM 3,138,488 3,131,676 53,360 59 2.2% 0
Saratov Oblast RU-SAR 2,371,123 2,371,018 100,805 24 1.7% 140,474
Smolensk Oblast RU-SMO 897,962 825,326 49,607 18 0.6% 0
Stavropol Krai RU-STA 2,912,226 2,931,619 66,036 44 2% 42
Sverdlovsk Oblast RU-SVE 4,130,296 4,188,888 193,183 21 2.9% 593
Tambov Oblast RU-TAM 1,002,344 914,180 34,318 29 0.7% 0
Tatarstan RU-TA 3,964,769 4,074,190 67,700 59 2.8% 0
Tomsk Oblast RU-TOM 1,082,612 1,068,411 312,869 3 0.8% 0
Tula Oblast RU-TUL 1,296,535 1,469,501 25,608 51 0.9% 0
Tuva RU-TY 318,936 347,359 167,950 2 0.2% 0
Tver Oblast RU-TVE 1,254,856 1,188,211 84,059 15 0.9% 0
Tyumen Oblast RU-TYU 1,611,476 1,685,653 158,964 10 1.1% 0
Udmurtia RU-UD 1,484,281 1,409,117 41,939 35 1% 0
Ulyanovsk Oblast RU-ULY 1,209,695 1,142,034 37,062 33 0.8% 0
Vladimir Oblast RU-VLA 1,257,987 1,258,089 29,008 43 0.9% 0
Volgograd Oblast RU-VGG 2,463,048 2,434,998 112,522 22 1.7% 136,408
Vologda Oblast RU-VLG 1,118,362 1,101,669 143,506 8 0.8% 0
Voronezh Oblast RU-VOR 2,325,701 2,270,612 52,059 45 1.6% 30
Yamalo-Nenets Autonomous Okrug RU-YAN 566,173 494,354 678,570 1 0.4% 80,586
Yaroslavl Oblast RU-YAR 1,206,377 1,163,341 35,994 34 0.8% 0
Zabaykalsky Krai RU-ZAB 1,070,254 933,823 430,344 2 0.8% 0
04ప్రమాదం

Subnational risk products

Values when released. Subnational risk values for Russian Federation publish with the edition from The Global Risks Index, with intervals and sources. Until then these pages show boundaries, people and exposure only.
05మూలాలు

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.
దేశాలు
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.

Explore Russian Federation

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స్థితి

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.

What NXS-GRX is not

NXS-GRX is research and risk-analytics information. It is not a credit or ESG rating and uses no rating scale, not a benchmark for financial instruments, not official statistics, not an emergency warning or official classification, and not advice. It must not be used to evaluate natural persons. Risk classes are bands on a published scale, never rankings of countries or people.

Pulse signals and outlook probabilities are information for review by competent authorities, never public warnings; official warnings come only from mandated authorities.

Institutions and sources

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.