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Global Risks Index

NXS-GRX-RUS · Eastern Europe · Regions

Tomsk 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
1,082,612
people (GHSL 2025)
312,869 km²
area
0.8%
of Russian Federation
20
units inside

01Map

Inside Tomsk Oblast

The 20 ADM2 units of Tomsk Oblast.

FIG 1 · 20 units inside Tomsk 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

1,082,612

0.8% of Russian Federation.

People · WorldPop 2025

1,068,411

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

ప్రాంతం

312,869 km²

3 people per km².

కోడ్

RU-TOM

Subdivision code as carried by the boundary source.

03Units

20 units inside Tomsk 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
Alexandrovsky District – 10,299 7,383 29,876.94 0 1% 0
Asino region – 37,774 32,565 5,801.83 7 3.5% 0
Bakcharsky District – 14,326 9,993 24,963.37 1 1.3% 0
Chainsky District – 13,010 10,874 7,042.48 2 1.2% 0
Kargasok region – 22,233 15,021 86,369.61 0 2.1% 0
Kolpashevsky District – 42,507 28,555 17,069.42 2 3.9% 0
Kozhevnikovsky District – 22,536 20,246 3,923.31 6 2.1% 0
Krivosheinsky District – 13,811 11,561 4,441.79 3 1.3% 0
Molchanovsky District – 13,109 11,628 6,371.94 2 1.2% 0
Parabelsky District – 13,355 10,923 34,811.4 0 1.2% 0
Pervomay region – 19,529 15,602 15,506.5 1 1.8% 0
Shegarsky District – 20,085 19,860 4,812.03 4 1.9% 0
Teguldetsky District – 7,126 6,117 12,227.59 1 0.7% 0
Tomsk municipal region – 103,821 127,614 9,904.03 10 9.6% 0
Upper Ket region – 18,488 13,360 43,088.14 0 1.7% 0
Zyryansky District – 13,703 10,136 3,941.69 3 1.3% 0
городской округ Кедровый – 4,091 1,979 1,733.66 2 0.4% 0
городской округ Стрежевой – 41,951 36,008 212.33 198 3.9% 0
городской округ Томск – 544,285 565,884 294.12 1,851 50.3% 0
ЗАТО Северск – 106,573 113,102 475.88 224 9.8% 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
1,245.2 H3 cells
Ports
None at this resolution
Airports
None at this resolution
Major roads
2,294.8 H3 cells
Railways
2,151.8 H3 cells
Rivers and lakes
2,255.9 H3 cells
05ప్రమాదం

Risk values

Values when released. Subnational risk values for Tomsk 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.