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I-Global Risks Index

NXS-GRX-RUS · Eastern Europe · Regions

Kirov 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
1,114,480
people (GHSL 2025)
119,964 km²
area
0.8%
of Russian Federation
45
units inside

01Imephu

Inside Kirov Oblast

The 45 ADM2 units of Kirov Oblast.

FIG 1 · 45 units inside Kirov 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

1,114,480

0.8% of Russian Federation.

Abantu · WorldPop 2025

1,046,675

-6% against GHSL; the two grids differ in method.

Area

119,964 km²

9 people per km².

Code

RU-KIR

Subdivision code as carried by the boundary source.

03Units

45 units inside Kirov 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
Afanasyevsky District – 11,612 9,695 5,099.77 2 1% 0
Arbazhsky District – 6,559 3,506 1,416.44 5 0.6% 0
Belokholunitsky District – 16,764 13,192 5,034.75 3 1.5% 0
Bogorodsky District – 4,252 2,628 1,442.36 3 0.4% 0
Falyonsky District – 9,364 5,920 2,485.36 4 0.8% 0
Kiknursky District – 8,255 5,182 1,681.49 5 0.7% 0
Kilmezsky District – 11,412 8,519 3,090.43 4 1% 0
Kirovo-Chepetsk – 37,049 30,579 53.73 690 3.3% 0
Kirovo-Chepetsky District – 39,120 42,649 2,203.05 18 3.5% 0
Kotelnich – 12,391 9,884 28.56 434 1.1% 0
Kotelnichsky District – 21,814 15,269 3,959.38 6 2% 0
Kumyonsky District – 14,188 12,799 1,900.66 7 1.3% 0
Lebyazhsky District – 6,875 3,997 1,339.74 5 0.6% 0
Luza district – 16,044 10,619 5,258.86 3 1.4% 0
Malmyzhsky District – 22,826 17,389 2,182.34 10 2% 0
Murashinsky District – 10,926 7,535 3,385.76 3 1% 0
Nagorsky District – 8,812 4,963 7,179.32 1 0.8% 0
Nemsky District – 6,965 5,257 2,137.04 3 0.6% 0
Nolinsky District – 15,696 11,057 2,237.75 7 1.4% 0
Omutninsky District – 37,431 28,937 5,124.09 7 3.4% 0
Oparinsky District – 9,972 5,027 6,017.11 2 0.9% 0
Orichevsky District – 24,463 20,169 2,339.54 10 2.2% 0
Orlovsky District – 10,980 7,931 1,970.74 6 1% 0
Pervomaysky – 1,778 1,624 5.27 337 0.2% 0
Pizhansky District – 9,541 6,736 1,144.59 8 0.9% 0
Podosinovsky District – 14,487 9,223 4,251.12 3 1.3% 0
Sanchursky District – 8,869 5,796 1,537.95 6 0.8% 0
Shabalinsky District – 9,149 6,009 3,902.99 2 0.8% 0
Slobodskoy District – 53,827 57,875 3,710.67 15 4.8% 0
Sovetsky District – 23,333 19,104 2,388.98 10 2.1% 0
Sunsky District – 5,696 4,260 1,161.06 5 0.5% 0
Svechinsky District – 7,158 4,820 1,761.97 4 0.6% 0
Tuzhinsky District – 6,402 4,617 1,462.42 4 0.6% 0
Uninsky District – 7,800 4,727 2,119.65 4 0.7% 0
Urzhumsky District – 24,602 18,404 3,013.59 8 2.2% 0
Verkhnekamsky District – 27,518 14,773 10,264.12 3 2.5% 0
Verkhoshizhemsky District – 8,088 5,978 2,135.84 4 0.7% 0
Vyatskiye Polyany – 23,607 18,001 29.35 804 2.1% 0
Vyatskopolyansky District – 31,826 27,265 898.69 35 2.9% 0
Yaransky District – 22,725 16,588 2,417.15 9 2% 0
Yuryansky District – 16,472 15,235 2,999.58 5 1.5% 0
Zuyevsky District – 18,794 14,213 2,630.16 7 1.7% 0
городской округ Киров – 391,673 477,610 762.07 514 35.1% 0
городской округ Слободской – 29,014 26,018 49.69 584 2.6% 0
Даровской район – 10,128 6,721 3,750.03 3 0.9% 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
805.6 H3 cells
Amachweba
None at this resolution
Izikhumulo zezindiza
None at this resolution
Major roads
3,032.2 H3 cells
Ojantshi
3,876 H3 cells
Rivers and lakes
861.1 H3 cells
05Ubungozi

Risk values

Values when released. Subnational risk values for Kirov 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.

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.

Lokho i-NXS-GRX engeyikho

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Amasiginali e-Pulse namathuba okubikezela ayimininingwane yokubuyekezwa ngabaphathi abanegunya, akukaze kube izixwayiso zomphakathi; izixwayiso ezisemthethweni zivela kuphela kubaphathi abanegunya.

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.

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.