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I-Global Risks Index

NXS-GRX-RUS · Eastern Europe · Regions

Ryazan 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
1,059,975
people (GHSL 2025)
39,538 km²
area
0.7%
of Russian Federation
29
units inside

01Imephu

Inside Ryazan Oblast

The 29 ADM2 units of Ryazan Oblast.

FIG 1 · 29 units inside Ryazan 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

1,059,975

0.7% of Russian Federation.

Abantu · WorldPop 2025

1,071,155

+1% against GHSL; the two grids differ in method.

Area

39,538 km²

27 people per km².

Code

RU-RYA

Subdivision code as carried by the boundary source.

03Units

29 units inside Ryazan 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
Chuchkovsky District – 7,993 5,871 894.64 9 0.7% 0
Kadomsky District – 8,260 7,299 988.4 8 0.8% 0
Kasimov – 12,961 9,026 32.83 395 1.2% 0
Kasimovsky District – 45,356 42,697 2,953.56 15 4.2% 0
Klepikovsky District – 25,082 20,173 3,237.29 8 2.3% 0
Korablinsky District – 20,935 21,876 1,166.2 18 1.9% 0
Mikhaylovsky District – 33,183 29,616 1,833.21 18 3.1% 0
Miloslavsky District – 12,642 9,794 1,388.28 9 1.2% 0
Pitelinsky District – 5,355 3,979 941.89 6 0.5% 0
Pronsky District – 28,432 29,260 1,061.24 27 2.6% 0
Putyatinsky District – 7,285 7,148 994.4 7 0.7% 0
Ryazansky District – 114,533 134,720 2,175.92 53 10.6% 0
Ryazhsky District – 26,672 26,522 1,014.49 26 2.5% 0
Rybnovsky District – 33,716 40,673 1,404.69 24 3.1% 0
Sapozhkovsky District – 9,560 8,019 955.65 10 0.9% 0
Sarayevsky District – 16,641 13,449 2,108.04 8 1.5% 0
Sasovo – 19,166 13,348 24.05 797 1.8% 0
Sasovsky District – 43,088 32,481 1,805.04 24 4% 0
Shatsky District – 22,847 19,017 2,407.27 9 2.1% 0
Shilovsky District – 36,758 31,937 2,380.59 15 3.4% 0
Skopinsky District – 27,346 28,325 1,710.55 16 2.5% 0
Spassky District – 29,241 22,325 2,698.92 11 2.7% 0
Starozhilovsky District – 15,210 14,692 1,001.47 15 1.4% 0
Ukholovsky District – 8,541 7,561 953.36 9 0.8% 0
Yermishinsky District – 8,206 5,402 1,338.99 6 0.8% 0
Zakharovsky District – 8,333 7,312 981.35 8 0.8% 0
Александро-Невский район – 11,103 10,097 830.9 13 1% 0
городской округ Рязань – 413,159 459,244 223.48 1,849 38.3% 0
городской округ Скопин – 27,540 22,641 32.51 847 2.6% 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
454.5 H3 cells
Amachweba
None at this resolution
Izikhumulo zezindiza
None at this resolution
Major roads
1,666.1 H3 cells
Ojantshi
1,429.4 H3 cells
Rivers and lakes
562.1 H3 cells
05Ubungozi

Risk values

Values when released. Subnational risk values for Ryazan 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.

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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.