Skip to content

Foundry

Global Risks Index

NXS-GRX-RUS · Eastern Europe · Regions

Saratov 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
2,371,123
people (GHSL 2025)
100,805 km²
area
1.7%
of Russian Federation
42
units inside

01Map

Inside Saratov Oblast

The 42 ADM2 units of Saratov Oblast.

FIG 1 · 42 units inside Saratov 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

2,371,123

1.7% of Russian Federation.

People · WorldPop 2025

2,371,018

0% against GHSL; the two grids differ in method.

વિસ્તાર

100,805 km²

24 people per km².

કોડ

RU-SAR

Subdivision code as carried by the boundary source.

Low coastal zone

140,474

people on land at or below 10 m, 5.9% of the unit (GEBCO 2024 and GHSL 2025).

03Units

42 units inside Saratov Oblast

Each unit has its own page.

Boundary licences: Open Data Commons Open Database License 1.0.

Unit કોડ People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Alexandrovo-Gaysky District – 15,407 13,240 2,691.47 6 0.6% 0
Arkadaksky District – 24,119 16,025 2,229.24 11 1% 0
Atkarsky District – 39,497 30,799 2,669.13 15 1.7% 0
Balakovsky District – 182,812 192,656 3,183.96 57 7.7% 2,638
Balashovsky District – 106,193 96,153 2,914.63 36 4.5% 0
Baltaysky District – 11,429 9,043 1,233.34 9 0.5% 0
Bazarno-Karabulaksky District – 29,595 22,908 2,280.27 13 1.2% 0
Dergachyovsky District – 19,812 13,862 4,482.68 4 0.8% 0
Dukhovnitsky District – 12,102 9,109 1,939.89 6 0.5% 0
Engelssky District – 258,548 306,079 3,156.08 82 10.9% 28,928
Fyodorovsky District – 19,320 14,950 2,510.1 8 0.8% 0
Ivanteyevsky District – 13,870 11,279 2,041.87 7 0.6% 0
Kalininsky District – 31,111 24,380 3,245.63 10 1.3% 0
Khvalynsky District – 22,493 19,525 1,955.81 12 0.9% 0
Krasnoarmeysky District – 45,465 37,592 3,283.63 14 1.9% 2,093
Krasnokutsky – 32,296 29,588 2,917.52 11 1.4% 0
Krasnopartizansky District – 14,145 10,053 2,373.74 6 0.6% 0
Lysogorsky District – 19,068 17,135 2,332.31 8 0.8% 0
Marksovsky District – 59,994 54,341 2,886.6 21 2.5% 2,417
Mikhaylovsky – 1,421 1,421 12.52 113 0.1% 0
Novoburassky District – 15,997 15,048 1,742.72 9 0.7% 0
Novouzensky District – 31,117 24,243 4,109.42 8 1.3% 0
Ozinsky District – 17,808 12,732 4,073.39 4 0.8% 0
Perelyubsky District – 13,063 9,181 3,693.23 4 0.6% 0
Petrovsky District – 42,387 31,593 2,310.76 18 1.8% 0
Pitersky District – 16,805 13,067 2,570.44 7 0.7% 0
Pugachyovsky District – 59,129 52,477 3,892.7 15 2.5% 0
Romanovsky District – 14,755 10,286 1,281.96 12 0.6% 0
Rovensky District – 13,909 15,443 2,101.75 7 0.6% 3,214
Rtishchevsky District – 53,753 46,570 2,293.65 23 2.3% 0
Samoylovsky District – 20,307 13,881 2,583.57 8 0.9% 0
Saratov – 747,225 844,753 402.87 1,855 31.5% 90,677
Saratovsky District – 124,804 145,683 1,951.7 64 5.3% 2,995
Shikhany – 1,971 2,710 9.99 197 0.1% 0
Sovetsky District – 27,006 23,621 1,424.9 19 1.1% 0
Svetly – 13,987 15,310 3.42 4,090 0.6% 0
Tatishchevsky District – 25,931 25,354 2,055.92 13 1.1% 0
Turkovsky District – 12,158 8,360 1,401.34 9 0.5% 0
Volsky District – 92,665 78,267 3,841.8 24 3.9% 6,454
Voskresensky District – 11,638 11,025 1,495.57 8 0.5% 1,128
Yekaterinovsky District – 18,571 15,108 3,025.3 6 0.8% 0
Yershovsky District – 38,859 27,588 4,198.51 9 1.6% 0
04સંપર્કમાં આવવું

Open exposure layers

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

Urban areas
1,204.1 H3 cells
Ports
None at this resolution
Airports
1 H3 cells
Major roads
3,347.1 H3 cells
Railways
1,927.8 H3 cells
Rivers and lakes
497.6 H3 cells
05જોખમ

Risk values

Values when released. Subnational risk values for Saratov 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

07સ્ત્રોતો

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.
દેશો
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.

સ્થિતિ

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.