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Global Risks Index

NXS-GRX-RUS · Eastern Europe · Regions

Tatarstan

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
3,964,769
people (GHSL 2025)
67,700 km²
area
2.8%
of Russian Federation
45
units inside

01Map

Inside Tatarstan

The 45 ADM2 units of Tatarstan.

FIG 1 · 45 units inside Tatarstan
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

3,964,769

2.8% of Russian Federation.

People · WorldPop 2025

4,074,190

+3% against GHSL; the two grids differ in method.

பரப்பு

67,700 km²

59 people per km².

குறியீடு

RU-TA

Subdivision code as carried by the boundary source.

03Units

45 units inside Tatarstan

Each unit has its own page.

Boundary licences: Open Data Commons Open Database License 1.0.

Unit குறியீடு People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Agryzsky District – 39,846 36,389 1,807.3 22 1% 0
Aksubayevsky District – 32,629 23,509 1,435.12 23 0.8% 0
Aktanyshsky District – 33,969 27,147 2,040.47 17 0.9% 0
Alexeyevsky District – 26,742 23,902 2,041.05 13 0.7% 0
Alkeyevsky District – 20,936 17,710 1,722.89 12 0.5% 0
Almetyevsky District – 205,686 220,082 2,534.04 81 5.2% 0
Apastovsky District – 24,025 18,592 1,041.72 23 0.6% 0
Arsky District – 53,389 50,991 1,837.57 29 1.3% 0
Atninsky District – 14,696 12,618 676.72 22 0.4% 0
Aznakayevsky District – 64,924 53,873 2,158.3 30 1.6% 0
Baltasinsky District – 33,982 32,210 1,086.04 31 0.9% 0
Bavlinsky District – 37,975 31,872 1,216.84 31 1% 0
Bugulminsky District – 114,108 94,867 1,432.64 80 2.9% 0
Buinsky District – 48,256 37,234 1,543.84 31 1.2% 0
Cheremshansky District – 20,559 16,652 1,358.8 15 0.5% 0
Chistopolsky District – 83,486 71,576 1,816.62 46 2.1% 0
Drozhzhanovsky District – 25,783 17,803 1,026.14 25 0.7% 0
Kamsko-Ustyinsky District – 17,026 12,569 1,187.9 14 0.4% 0
Kaybitsky District – 15,195 11,567 990.34 15 0.4% 0
Kazan – 1,215,453 1,328,832 632.88 1,921 30.7% 0
Kukmorsky District – 53,733 52,846 1,476.85 36 1.4% 0
Laishevsky District – 39,477 73,729 2,083.95 19 1% 0
Leninogorsky District – 90,248 75,281 1,840.91 49 2.3% 0
Mamadyshsky District – 46,008 35,711 2,596.18 18 1.2% 0
Mendeleyevsky District – 19,440 19,993 657.92 30 0.5% 0
Menzelinsky District – 29,984 24,810 1,857.61 16 0.8% 0
Muslyumovsky District – 23,109 17,965 1,463.29 16 0.6% 0
Naberezhnye Chelny – 495,898 529,366 170.14 2,915 12.5% 0
Novosheshminsky District – 14,538 12,701 1,306.66 11 0.4% 0
Nurlatsky District – 62,604 48,483 2,304.23 27 1.6% 0
Pestrechinsky District – 32,488 76,728 1,334.12 24 0.8% 0
Rajon Nischnekamsk – 262,590 285,404 1,747.5 150 6.6% 0
Rybno-Slobodsky District – 29,734 24,918 2,055.04 14 0.7% 0
Sabinsky District – 31,495 29,971 1,092.47 29 0.8% 0
Sarmanovsky District – 37,867 33,672 1,380.46 27 1% 0
Spassky District – 20,886 16,418 2,019.97 10 0.5% 0
Tetyushsky District – 25,217 17,842 1,639.76 15 0.6% 0
Tukayevsky District – 100,795 109,058 1,844.85 55 2.5% 0
Tyulyachinsky District – 14,802 13,411 835.1 18 0.4% 0
Verkhneuslonsky District – 18,813 19,690 1,263.65 15 0.5% 0
Vysokogorsky District – 48,608 66,978 1,574.55 31 1.2% 0
Yelabuzhsky District – 80,415 83,384 1,412 57 2% 0
Yutazinsky District – 16,112 15,963 756.95 21 0.4% 0
Zainsky District – 59,277 50,441 1,890.9 31 1.5% 0
Zelenodolsky District – 182,243 199,879 1,509.05 121 4.6% 0
04வெளிப்பாடு

Open exposure layers

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

Urban areas
995.2 H3 cells
Ports
None at this resolution
Airports
1 H3 cells
Major roads
2,791.7 H3 cells
Railways
943.9 H3 cells
Rivers and lakes
497.5 H3 cells
05இடர்

Risk values

Values when released. Subnational risk values for Tatarstan 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

07மூலங்கள்

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.
நாடுகள்
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.

நிலை

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.