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Die Global Risks Index

NXS-GRX-RUS · Eastern Europe · Regions

Oryol 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
738,303
people (GHSL 2025)
24,550 km²
area
0.5%
of Russian Federation
27
units inside

01Kaart

Inside Oryol Oblast

The 27 ADM2 units of Oryol Oblast.

FIG 1 · 27 units inside Oryol 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.

Mense · GHSL 2025

738,303

0.5% of Russian Federation.

Mense · WorldPop 2025

695,880

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

Area

24,550 km²

30 people per km².

Code

RU-ORL

Subdivision code as carried by the boundary source.

03Units

27 units inside Oryol 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
Bolkhovsky District – 15,851 13,724 1,183.35 13 2.1% 0
Dolzhansky District – 10,594 7,039 905.04 12 1.4% 0
Khotynetsky District – 9,026 6,787 787.48 11 1.2% 0
Kolpnyansky District – 13,443 10,966 1,168.93 12 1.8% 0
Krasnozorensky District – 5,750 4,452 647.73 9 0.8% 0
Livensky District – 13,915 18,279 1,807.67 8 1.9% 0
Livny – 59,184 42,790 24.41 2,425 8% 0
Mtsensky District – 8,462 22,239 1,658.81 5 1.1% 0
Novoderevenkovsky District – 9,393 8,164 1,013.71 9 1.3% 0
Oryol – 279,397 282,224 118.02 2,367 37.8% 0
Uritsky District – 16,426 16,385 831.73 20 2.2% 0
Verkhovsky District – 15,136 13,644 1,072.95 14 2.1% 0
Znamensky District – 4,367 3,762 804.12 5 0.6% 0
Глазуновский район – 11,547 8,428 577.28 20 1.6% 0
городской округ Мценск – 45,683 26,566 22.58 2,023 6.2% 0
Дмитровский район – 44,013 37,783 1,228.75 36 6% 0
Залегощенский район – 13,479 9,821 1,135.15 12 1.8% 0
Корсаковский район – 4,226 3,242 691.68 6 0.6% 0
Кромской район – 18,890 20,560 962.76 20 2.6% 0
Малоархангельский район – 9,041 7,817 758.86 12 1.2% 0
Новосильский район – 7,463 5,579 769.91 10 1% 0
Орловский район – 74,927 87,106 1,699.88 44 10.1% 0
Покровский район – 12,978 10,376 1,405.35 9 1.8% 0
Свердловский район – 14,334 12,035 1,049.58 14 1.9% 0
Сосковский район – 4,699 4,508 609.87 8 0.6% 0
Троснянский район – 9,020 6,566 770.05 12 1.2% 0
Шаблыкинский район – 7,059 5,039 844.09 8 1% 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
224.7 H3 cells
Hawens
None at this resolution
Lughawens
None at this resolution
Major roads
1,466.3 H3 cells
Spoorweë
1,011.3 H3 cells
Rivers and lakes
204.4 H3 cells
05Risiko

Risk values

Values when released. Subnational risk values for Oryol 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

07Bronne

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.
Lande
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.

Status

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.

Wat NXS-GRX nie is nie

NXS-GRX is navorsings- en risiko-analise-inligting. Dit is nie 'n krediet- of ESG-gradering nie en gebruik geen graderingskaal nie, nie 'n maatstaf vir finansiële instrumente nie, nie amptelike statistiek nie, nie 'n noodwaarskuwing of amptelike klassifikasie nie, en nie advies nie. Dit mag nie gebruik word om natuurlike persone te evalueer nie. Risikoklasse is bande op 'n gepubliseerde skaal, nooit ranglyste van lande of mense nie.

Pulse-seine en vooruitskouwaarskynlikhede is inligting vir hersiening deur bevoegde owerhede, nooit openbare waarskuwings nie; amptelike waarskuwings kom slegs van gemandateerde owerhede.

Instellings en bronne

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.