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Global Risks Index

NXS-GRX-RUS · Eastern Europe · Regions

Samara 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
3,138,488
people (GHSL 2025)
53,360 km²
area
2.2%
of Russian Federation
37
units inside

01Map

Inside Samara Oblast

The 37 ADM2 units of Samara Oblast.

FIG 1 · 37 units inside Samara 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

3,138,488

2.2% of Russian Federation.

People · WorldPop 2025

3,131,676

0% against GHSL; the two grids differ in method.

ప్రాంతం

53,360 km²

59 people per km².

కోడ్

RU-SAM

Subdivision code as carried by the boundary source.

03Units

37 units inside Samara Oblast

Each unit has its own page.

Boundary licences: Open Data Commons Open Database License 1.0.

Unit కోడ్ People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Alexeyevsky District – 12,397 9,891 1,880.65 7 0.4% 0
Bezenchuksky District – 44,000 36,993 1,979.56 22 1.4% 0
Bogatovsky District – 14,649 12,979 820.06 18 0.5% 0
Bolshechernigovsky District – 19,198 16,575 2,796.32 7 0.6% 0
Bolsheglushitsky District – 20,816 16,795 2,526.4 8 0.7% 0
Borsky District – 24,746 22,076 2,097.5 12 0.8% 0
Chapayevsk – 75,676 69,894 201.47 376 2.4% 0
Chelno-Vershinsky District – 17,280 13,595 1,160.25 15 0.6% 0
Isaklinsky District – 13,239 11,997 1,575.3 8 0.4% 0
Kamyshlinsky District – 12,131 10,569 820.74 15 0.4% 0
Khvorostyansky District – 16,845 16,215 1,834.33 9 0.5% 0
Kinel-Cherkassky District – 48,098 41,508 2,468.04 19 1.5% 0
Klyavlinsky District – 15,742 13,156 1,246.43 13 0.5% 0
Koshkinsky District – 26,395 21,273 1,636.26 16 0.8% 0
Krasnoarmeysky District – 18,427 15,402 2,121.17 9 0.6% 0
Krasnoyarsky District – 66,783 75,651 2,418.78 28 2.1% 0
Neftegorsky District – 33,561 29,394 1,398.39 24 1.1% 0
Oktyabrsk – 17,324 10,625 30.69 564 0.6% 0
Pestravsky District – 18,203 13,029 1,951.67 9 0.6% 0
Pokhvistnevsky District – 57,286 49,797 2,091.47 27 1.8% 0
Privolzhsky District – 25,069 21,112 1,429.88 18 0.8% 0
Samara – 1,086,790 1,095,878 541.56 2,007 34.6% 0
Sergiyevsky District – 49,008 43,302 2,744.22 18 1.6% 0
Shentalinsky District – 17,934 11,529 1,332.02 13 0.6% 0
Shigonsky District – 21,207 18,756 1,994.03 11 0.7% 0
Stavropolsky District – 85,782 125,878 3,677.02 23 2.7% 0
Syzran – 156,531 145,502 153.46 1,020 5% 0
Syzransky District – 44,717 37,352 1,847.11 24 1.4% 0
Tolyatti – 634,559 644,369 284.56 2,230 20.2% 0
Volzhsky District – 179,667 244,054 2,468.13 73 5.7% 0
Yelkhovsky District – 10,197 9,030 1,194.06 9 0.3% 0
Zhigulyovsk – 56,228 40,041 92.93 605 1.8% 0
городской округ Кинель – 56,334 47,150 109.02 517 1.8% 0
городской округ Новокуйбыш – 61,546 58,081 264.64 233 2% 0
городской округ Отрадный – 49,107 43,553 54.05 909 1.6% 0
городской округ Похвистнев – 10 13 72.18 0 0% 0
Кинельский район – 31,008 38,662 2,045.6 15 1% 0
04బహిర్గతం

Open exposure layers

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

Urban areas
2,249.1 H3 cells
Ports
None at this resolution
Airports
1 H3 cells
Major roads
2,855.4 H3 cells
Railways
1,534.3 H3 cells
Rivers and lakes
298 H3 cells
05ప్రమాదం

Risk values

Values when released. Subnational risk values for Samara 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

07మూలాలు

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.
దేశాలు
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.

స్థితి

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.