Skip to content

Foundry

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

01Ramani

Inside Moscow Oblast

The 68 ADM2 units of Moscow Oblast.

FIG 1 · 68 units inside Moscow Oblast
Inapakia ramani

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.

Watu · GHSL 2025

8,609,135

6% of Russian Federation.

Watu · WorldPop 2025

9,735,569

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

Area

44,228 km²

195 people per km².

Code

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 Code 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
04Mfiduo

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
Bandari
None at this resolution
Viwanja vya ndege
1 H3 cells
Major roads
2,415.3 H3 cells
Reli
1,804.3 H3 cells
Rivers and lakes
419.7 H3 cells
05Hatari

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

07Vyanzo

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.
Nchi
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.

Hali

Mbinu, muundo na fasili za The Global Risks Index ni rasimu ya kazi ya maandalizi (2026), inayosambazwa kwa mapitio na maoni na si kwa utekelezaji. Hakuna thamani itakayoonekana hadi toleo litakapotolewa kutoka kato la ushahidi linalosimamiwa; kisha thamani zitakuwa na vipindi, madaraja, vyanzo na njia yake ya masahihisho. Viigaji huendesha mbinu zilizochapishwa kwa namba unazochagua na kamwe havionyeshi thamani ya NXS-GRX.

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.

NXS-GRX si nini

NXS-GRX ni taarifa ya utafiti na uchambuzi wa hatari. Si daraja la mikopo wala la ESG na haitumii kipimo chochote cha daraja, si kigezo cha vyombo vya fedha, si takwimu rasmi, si onyo la dharura wala uainishaji rasmi, na si ushauri. Haipaswi kutumiwa kutathmini watu binafsi. Madaraja ya hatari ni mikanda kwenye kipimo kilichochapishwa, kamwe si mpangilio wa nchi au watu.

Ishara za Pulse na uwezekano wa mtazamo ni taarifa za kukaguliwa na mamlaka husika, kamwe si maonyo ya umma; maonyo rasmi hutoka tu kwa mamlaka zilizopewa jukumu.

Taasisi na vyanzo

Nexus Consortium inasimamiwa na taasisi tatu huru zisizo za faida: The Global Centre for Risk and Innovation (GCRI), kupitia GCRI US huko Washington, DC na GCRI Canada huko Ontario, huku GCRI Canada ikiwa Taasisi Kiongozi, Sekretarieti ya Muungano na shirika kiongozi la mikataba; The Global Risks Forum (GRF); na The Global Risks Alliance (GRA). Watoa huduma za teknolojia, miundombinu na huduma hufanya kazi na Muungano kwa umbali chini ya makubaliano ya maandishi, kama kila mhusika mwingine wa nje katika muundo wa umma, sekta binafsi na sayari, na hawana jukumu lolote katika usimamizi wake.

Kila thamani ina utajo wa vyanzo vyake, ambavyo hubaki na leseni zao. Majina ya nje yanatajwa kwa ajili ya mwingiliano tu. Maandishi yaliyoandikwa na Nexus yanakusudiwa kuwa chini ya CC BY 4.0 yatakapotolewa.

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.