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I-Global Risks Index

NXS-GRX-RUS · Eastern Europe · Regions

Tver 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
1,254,856
people (GHSL 2025)
84,059 km²
area
0.9%
of Russian Federation
43
units inside

01Imephu

Inside Tver Oblast

The 43 ADM2 units of Tver Oblast.

FIG 1 · 43 units inside Tver 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

1,254,856

0.9% of Russian Federation.

Abantu · WorldPop 2025

1,188,211

-5% against GHSL; the two grids differ in method.

Area

84,059 km²

15 people per km².

Code

RU-TVE

Subdivision code as carried by the boundary source.

03Units

43 units inside Tver 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
Andreapolsky District – 12,411 8,682 3,039.89 4 1% 0
Bezhetsky District – 31,434 28,790 2,815.02 11 2.5% 0
Bologovsky District – 34,834 27,504 2,399.22 15 2.8% 0
Firovsky District – 8,558 7,596 1,742.45 5 0.7% 0
Kalininsky District – 54,973 72,691 4,144.79 13 4.4% 0
Kalyazinsky District – 23,164 18,062 1,662.41 14 1.8% 0
Kashinsky District – 18,692 21,450 1,975.5 9 1.5% 0
Kesovogorsky District – 6,770 7,082 965.69 7 0.5% 0
Kimrsky District – 73,906 37,123 2,518.79 29 5.9% 0
Kimry – 16,546 48,125 45.88 361 1.3% 0
Konakovsky District – 77,460 62,605 2,120.14 37 6.2% 0
Krasnokholmsky District – 10,230 7,164 1,487.45 7 0.8% 0
Kuvshinovsky District – 13,757 11,623 1,882.06 7 1.1% 0
Lesnoy District – 4,525 3,356 1,628.83 3 0.4% 0
Likhoslavlsky District – 25,552 22,465 1,772.57 14 2% 0
Maksatikhinsky District – 15,070 13,104 2,775.38 5 1.2% 0
Molokovsky District – 4,667 3,070 1,179.65 4 0.4% 0
Nelidovsky District – 27,873 20,013 2,626.02 11 2.2% 0
Oleninsky District – 11,327 11,200 2,659.07 4 0.9% 0
Ostashkovsky District – 23,020 22,360 3,094.64 7 1.8% 0
Penovsky District – 6,136 4,320 2,408.25 3 0.5% 0
Rameshkovsky District – 10,379 14,642 2,501.95 4 0.8% 0
Rzhevsky District – 25,102 22,552 2,740.04 9 2% 0
Sandovsky District – 6,188 4,151 1,606.03 4 0.5% 0
Selizharovsky District – 11,294 8,787 3,107.8 4 0.9% 0
Sonkovsky District – 9,077 6,427 963.33 9 0.7% 0
Spirovsky District – 10,847 6,825 1,524.65 7 0.9% 0
Staritsky District – 21,446 19,721 2,997.41 7 1.7% 0
Toropetsky District – 18,329 14,736 3,368.91 5 1.5% 0
Torzhoksky District – 20,463 18,738 3,113.27 7 1.6% 0
Tver – 370,848 406,672 151.91 2,441 29.5% 0
Udomelsky District – 35,694 24,651 2,469.58 14 2.8% 0
Vesyegonsky District – 12,281 8,358 2,085.26 6 1% 0
Vyshnevolotsky District – 31,774 21,240 3,386.03 9 2.5% 0
Vyshny Volochyok – 36,974 38,681 53.35 693 2.9% 0
Zapadnodvinsky District – 14,426 10,378 2,803.21 5 1.1% 0
Zubtsovsky District – 15,268 12,715 2,160.37 7 1.2% 0
Бельский район – 5,767 4,144 2,130.99 3 0.5% 0
городской округ Ржев – 41,260 38,833 53.31 774 3.3% 0
городской округ Торжок – 41,614 35,664 59.25 702 3.3% 0
Жарковский район – 5,333 3,149 1,626.43 3 0.4% 0
ЗАТО Озёрный – 9,586 8,764 207.83 46 0.8% 0
ЗАТО Солнечный – 484 352 4.67 104 0% 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
365.3 H3 cells
Amachweba
None at this resolution
Izikhumulo zezindiza
None at this resolution
Major roads
2,422 H3 cells
Ojantshi
2,298.5 H3 cells
Rivers and lakes
1,132.9 H3 cells
05Ubungozi

Risk values

Values when released. Subnational risk values for Tver 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.