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I-Global Risks Index

NXS-GRX-RUS · Eastern Europe · Regions

Belgorod 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
1,625,962
people (GHSL 2025)
27,056 km²
area
1.1%
of Russian Federation
22
units inside

01Imephu

Inside Belgorod Oblast

The 22 ADM2 units of Belgorod Oblast.

FIG 1 · 22 units inside Belgorod 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.

Abantu · GHSL 2025

1,625,962

1.1% of Russian Federation.

Abantu · WorldPop 2025

1,523,032

-6% against GHSL; the two grids differ in method.

Area

27,056 km²

60 people per km².

Code

RU-BEL

Subdivision code as carried by the boundary source.

Indawo esogwini ephansi

382

people on land at or below 10 m, 0.0% of the unit (GEBCO 2024 and GHSL 2025).

03Units

22 units inside Belgorod 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
Belgorodsky District – 162,625 261,504 1,462.11 111 10% 0
Borisovsky District – 27,883 22,136 650.06 43 1.7% 0
Chernyansky District – 34,976 27,425 1,222.64 29 2.2% 0
Grayvoronsky District – 31,803 26,106 865.26 37 2% 0
Gubkinsky Urban Okrug – 131,877 112,401 1,523.03 87 8.1% 323
Ivnyansky District – 24,313 19,834 868.89 28 1.5% 0
Korochansky District – 40,120 33,729 1,459.03 27 2.5% 0
Krasnensky District – 14,851 10,665 848.85 17 0.9% 0
Krasnogvardeysky District – 43,521 27,684 1,765.35 25 2.7% 0
Krasnoyaruzhsky District – 15,851 13,754 476.7 33 1% 0
Novooskolsky District – 45,102 37,016 1,397.86 32 2.8% 0
Prokhorovsky District – 31,075 24,699 1,376.16 23 1.9% 0
Rakityansky District – 35,506 32,603 898.05 40 2.2% 0
Rovensky District – 25,847 21,927 1,364.06 19 1.6% 0
Shebekinsky District – 92,760 76,953 1,864.91 50 5.7% 0
Starooskolsky Urban Okrug – 254,787 255,132 1,683.72 151 15.7% 59
Valuysky District – 73,568 63,579 1,702.81 43 4.5% 0
Veydelevsky District – 23,471 21,561 1,351.3 17 1.4% 0
Volokonovsky District – 34,795 27,201 1,282.75 27 2.1% 0
Yakovlevsky District – 58,757 54,609 1,084.98 54 3.6% 0
Алексеевский район и город – 68,071 55,329 1,751.43 39 4.2% 0
городской округ Белгород – 354,402 297,184 155.73 2,276 21.8% 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
2,250.8 H3 cells
Amachweba
None at this resolution
Izikhumulo zezindiza
1 H3 cells
Major roads
1,545.2 H3 cells
Ojantshi
1,298.4 H3 cells
Rivers and lakes
222.1 H3 cells
05Ubungozi

Risk values

Values when released. Subnational risk values for Belgorod 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

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.

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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.

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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.