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Global Risks Index

NXS-GRX-RUS · Eastern Europe · Regions

Moscow Oblast

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
8,609,135
people (GHSL 2025)
44,228 km²
area
6%
of Russian Federation
68
units inside

01Map

Inside Moscow Oblast

The 68 ADM2 units of Moscow Oblast.

FIG 1 · 68 units inside Moscow Oblast
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

8,609,135

6% of Russian Federation.

People · WorldPop 2025

9,735,569

+13% against GHSL; the two grids differ in method.

વિસ્તાર

44,228 km²

195 people per km².

કોડ

RU-MOS

Subdivision code as carried by the boundary source.

03Units

68 units inside Moscow Oblast

Each unit has its own page.

Boundary licences: Open Data Commons Open Database License 1.0.

Unit કોડ People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Balashikhinsky District – 587,886 826,543 242.85 2,421 6.8% 0
Chekhovsky District – 116,343 158,837 861.02 135 1.3% 0
Dmitrovsky District – 176,766 176,126 2,170.55 81 2% 0
Dolgoprudny – 102,258 147,825 30.53 3,349 1.2% 0
Domodedovsky District – 159,405 248,153 814.82 196 1.8% 0
Dubna – 52,784 49,732 60.72 869 0.6% 0
Dzerzhinsky – 80,108 120,285 15.52 5,162 0.9% 0
Elektrogorsk – 24,835 31,649 39.51 629 0.3% 0
Elektrostal – 126,443 103,899 51.01 2,479 1.5% 0
Istrinsky District – 140,211 191,748 1,264.82 111 1.6% 0
Ivanteyevka – 58,642 34,106 14.56 4,028 0.7% 0
Kashira Urban Okrug – 69,322 57,777 639.81 108 0.8% 0
Khimki Urban Okrug – 93,728 158,732 109.03 860 1.1% 0
Klinsky District – 145,037 149,848 2,006.13 72 1.7% 0
Kolomensky District – 61,096 61,927 1,107.85 55 0.7% 0
Kolomna urban okrug – 137,803 113,208 66.21 2,081 1.6% 0
Korolyov – 276,319 212,992 55.36 4,991 3.2% 0
Kotelniki – 17,092 25,668 14.28 1,197 0.2% 0
Krasnogorsky District – 472,968 584,124 224.13 2,110 5.4% 0
Krasnoznamensk – 12,187 15,984 13.29 917 0.1% 0
Leninsky District – 201,641 302,554 201.82 999 2.3% 0
Lobnya – 82,265 77,120 29.45 2,793 0.9% 0
Losino-Petrovsky – 10,844 10,365 9.06 1,197 0.1% 0
Lotoshinsky District – 20,285 22,834 975.01 21 0.2% 0
Lukhovitsky District – 69,479 62,723 1,276.09 54 0.8% 0
Lytkarino – 49,455 47,271 17.27 2,864 0.6% 0
Lyuberetsky District – 381,748 446,189 121.49 3,142 4.4% 0
Mozhaysky District – 83,667 96,736 2,615.34 32 1% 0
Mytishchi Urban Okrug – 363,649 386,130 429.15 847 4.2% 0
Naro-Fominsky District – 186,019 237,402 1,539.58 121 2.1% 0
Noginsky District – 261,585 280,459 890.05 294 3% 0
Orekhovo-Zuyevsky District – 175,518 184,867 1,813.16 97 2% 0
Podolsk Urban Okrug – 384,680 376,625 337.43 1,140 4.4% 0
Protvino urban okrug – 43,897 38,103 26.39 1,663 0.5% 0
Pushchino – 24,313 20,060 18.03 1,348 0.3% 0
Pushkinsky District – 215,719 262,047 568.07 380 2.5% 0
Ramensky District – 362,713 441,445 1,390.27 261 4.2% 0
Reutov – 53,850 80,850 8.85 6,085 0.6% 0
Roshal urban okrug – 14,566 9,267 34.73 419 0.2% 0
Ruzsky District – 74,273 88,724 1,559.81 48 0.9% 0
Sergiyevo-Posadsky District – 260,985 205,151 2,018.34 129 3% 0
Serpukhovsky District – 49,024 82,311 1,019.58 48 0.6% 0
Shakhovskaya Urban Okrug – 28,630 30,281 1,213.18 24 0.3% 0
Shatursky District – 91,105 96,750 2,626.75 35 1% 0
Shchyolkovsky District – 350,507 394,186 704.02 498 4% 0
Solnechnogorsky District – 287,421 340,653 1,079.71 266 3.3% 0
Star City – 11,048 17,363 3.08 3,587 0.1% 0
Stupinsky District – 147,374 124,998 1,700.13 87 1.7% 0
Taldomsky District – 51,864 68,663 1,421.61 36 0.6% 0
Vlasikha – 28,688 32,852 4.36 6,580 0.3% 0
Volokolamsky District – 59,418 67,282 1,675.23 35 0.7% 0
Voskhod, Moscow Oblast – 3,244 4,457 14.1 230 0% 0
Voskresensky District – 170,124 158,780 808.58 210 2% 0
Yegoryevsk Urban Okrug – 120,797 115,870 1,709.94 71 1.4% 0
Zhukovsky – 80,210 79,451 47.06 1,704 0.9% 0
Zvenigorod – 23,045 34,235 47.92 481 0.3% 0
городской округ Бронницы – 26,335 25,156 22.18 1,187 0.3% 0
городской округ Зарайск – 48,222 33,497 963.37 50 0.6% 0
городской округ Красноарме – 31,499 21,095 155.31 203 0.4% 0
городской округ Молодёжный – 175 194 5.91 30 0% 0
городской округ Озёры – 43,013 41,912 546.86 79 0.5% 0
городской округ Орехово-Зу – 89,861 57,076 36.08 2,491 1% 0
городской округ Павловский – 101,015 98,823 563.8 179 1.2% 0
городской округ Серебряные – 29,457 21,902 873.71 34 0.3% 0
городской округ Серпухов – 115,612 102,561 32.17 3,594 1.3% 0
городской округ Фрязино – 17,132 17,132 9.11 1,881 0.2% 0
городской округ Черноголов – 17,653 16,909 61.39 288 0.2% 0
Одинцовский район – 453,195 639,115 1,201.6 377 5.2% 0
04સંપર્કમાં આવવું

Open exposure layers

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

Urban areas
961.2 H3 cells
Ports
None at this resolution
Airports
1 H3 cells
Major roads
2,415.3 H3 cells
Railways
1,804.3 H3 cells
Rivers and lakes
419.7 H3 cells
05જોખમ

Risk values

Values when released. Subnational risk values for Moscow Oblast 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

07સ્ત્રોતો

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.
દેશો
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.

સ્થિતિ

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.