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Global Risks Index

NXS-GRX-RUS · Eastern Europe · Regions

Dagestan

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
3,564,421
people (GHSL 2025)
49,901 km²
area
2.5%
of Russian Federation
51
units inside

01نقشہ

Inside Dagestan

The 51 ADM2 units of Dagestan.

FIG 1 · 51 units inside Dagestan
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

3,564,421

2.5% of Russian Federation.

People · WorldPop 2025

3,170,682

-11% against GHSL; the two grids differ in method.

رقبہ

49,901 km²

71 people per km².

کوڈ

RU-DA

Subdivision code as carried by the boundary source.

Low coastal zone

143,153

people on land at or below 10 m, 4.0% of the unit (GEBCO 2024 and GHSL 2025).

03Units

51 units inside Dagestan

Each unit has its own page.

Boundary licences: Open Data Commons Open Database License 1.0.

Unit کوڈ People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Agulsky District – 14,146 9,795 818.89 17 0.4% 0
Akhtynsky District – 41,665 30,130 1,062.48 39 1.2% 0
Akhvakhsky District – 30,100 13,970 302.43 100 0.8% 0
Akushinsky District – 65,587 51,745 625.82 105 1.8% 0
Babayurtovsky District – 59,237 84,583 3,241.51 18 1.6% 15,697
Botlikhsky District – 66,502 59,479 713.29 93 1.9% 0
Buynaksky District – 87,609 90,484 1,802.94 49 2.4% 0
Charodinsky District – 14,690 13,330 1,142.37 13 0.4% 0
Dagestanskiye Ogni – 36,930 37,879 39.67 931 1% 3,108
Dakhadayevsky District – 45,517 32,164 745.77 61 1.3% 0
Derbentsky District – 88,945 97,439 781.65 114 2.5% 8,904
Dokuzparinsky District – 20,604 12,171 498.09 41 0.6% 0
Gergebilsky District – 28,004 21,233 353.14 79 0.8% 0
Gumbetovsky District – 24,362 17,799 691.28 35 0.7% 0
Gunibsky District – 34,159 33,515 644.65 53 1% 0
Karabudakhkentsky District – 114,478 114,565 1,404.57 82 3.2% 3,815
Kayakentsky District – 80,012 63,730 657.46 122 2.2% 1,856
Kaytagsky District – 43,718 38,288 689.08 63 1.2% 0
Kazbekovsky District – 54,629 52,200 582.07 94 1.5% 0
Khasavyurtovsky District – 148,460 207,675 1,430.83 104 4.1% 14,581
Khivsky District – 23,749 17,887 463 51 0.7% 0
Khunzakhsky District – 37,618 25,594 569.86 66 1% 0
Kizilyurtovsky District – 128,594 121,591 535.26 240 3.6% 13,428
Kizlyarsky District – 89,166 84,553 3,229.1 28 2.5% 26
Kulinsky District – 14,500 10,223 655.08 22 0.4% 0
Kumtorkalinsky District – 29,287 42,991 1,179.91 25 0.8% 433
Kurakhsky District – 19,613 9,155 672.83 29 0.5% 0
Laksky District – 15,386 11,454 715.41 22 0.4% 0
Levashinsky District – 91,482 85,731 823.73 111 2.5% 0
Magaramkentsky District – 115,751 64,737 553.31 209 3.2% 150
Makhachkala Urban Okrug – 736,403 719,281 454.63 1,620 20.5% 73,163
Nogaysky District – 41,312 25,815 8,779.92 5 1.1% 8,825
Novolaksky District – 34,310 20,430 290.51 118 1% 0
Rutulsky District – 27,935 15,341 2,144.53 13 0.8% 0
Sergokalinsky District – 36,622 28,728 574.46 64 1% 147
Shamilsky District – 34,307 30,332 891.89 38 1% 0
Suleyman-Stalsky District – 67,900 52,419 654.41 104 1.9% 0
Tabasaransky District – 65,534 49,409 800.54 82 1.8% 0
Tarumovsky District – 40,925 38,091 2,923.65 14 1.1% 0
Tlyaratinsky District – 28,819 17,718 1,565.99 18 0.8% 0
Tsumadinsky District – 29,506 24,131 1,104.43 27 0.8% 0
Tsuntinsky District – 22,787 15,756 1,253.12 18 0.6% 0
Untsukulsky District – 40,983 33,100 549.84 75 1.1% 0
urban okrug of Derbent – 121,092 111,031 81.67 1,483 3.4% 13,907
городской округ Буйнакск – 91,256 82,201 22.92 3,982 2.5% 0
городской округ Избербаш – 57,395 48,428 35.08 1,636 1.6% 3,356
городской округ Каспийск – 179,633 96,107 35.45 5,067 5% 1,186
городской округ Кизилюрт – 26,336 22,997 23.02 1,144 0.7% 0
городской округ Кизляр – 57,898 46,918 33.59 1,724 1.6% 306
городской округ Хасавюрт – 185,303 159,361 48.44 3,825 5.2% 0
городской округ Южно-Сухок – 1,690 1,409 7.53 224 0% 0
04زد

Open exposure layers

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

Urban areas
848.8 H3 cells
بندرگاہیں
None at this resolution
Airports
None at this resolution
Major roads
2,048.4 H3 cells
Railways
429.3 H3 cells
Rivers and lakes
None at this resolution
05خطرہ

Risk values

Values when released. Subnational risk values for Dagestan 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

07ماخذات

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.
ممالک
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.

حیثیت

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.