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Global Risks Index

NXS-GRX-LVA · Northern Europe · Regions

Jēkabpils novads

First-level unit, Latvia: people, area, the units inside and neighbours, with risk values when released.

Map All 43 first-level units
Page GRX-LVA-REdition Baseline Edition 2026Evidence close 2026-09-30ISO LVA / LVStatus UN member stateValues not yet publishedMethod v1.0.0-draft
40,813
people (GHSL 2025)
2,982 km²
area
2.3%
of Latvia
25
units inside

01Map

Inside Jēkabpils novads

The 25 ADM2 units of Jēkabpils novads.

FIG 1 · 25 units inside Jēkabpils novads
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

40,813

2.3% of Latvia.

People · WorldPop 2025

39,437

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

વિસ્તાર

2,982 km²

14 people per km².

કોડ

LV-042

Subdivision code as carried by the boundary source.

03Units

25 units inside Jēkabpils novads

Each unit has its own page.

Boundary licences: Creative Commons Attribution 4.0 International (CC BY 4.0)

Unit કોડ People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Ābeļu pag. – 1,558 1,652 125.95 12 3.8% 0
Aknīste – 80 92 3.38 24 0.2% 0
Aknīstes pag. – 1,387 1,495 128.64 11 3.4% 0
Asares pag. – 442 243 83.37 5 1.1% 0
Atašienes pag. – 801 690 242.03 3 2% 0
Dignājas pag. – 199 196 83.21 2 0.5% 0
Dunavas pag. – 790 643 123.44 6 1.9% 0
Elkšņu pag. – 660 381 137.71 5 1.6% 0
Gārsenes pag. – 470 441 67.64 7 1.1% 0
Jēkabpils – 17,960 17,778 25.18 713 43.8% 0
Kalna pag. – 586 495 172.36 3 1.4% 0
Krustpils pag. – 2,392 2,074 85.86 28 5.8% 0
Kūku pag. – 2,799 3,300 114.06 25 6.8% 0
Leimaņu pag. – 345 299 100.98 3 0.8% 0
Mežāres pag. – 665 508 142.24 5 1.6% 0
Rites pag. – 670 542 97.3 7 1.6% 0
Rubenes pag. – 1,054 778 181.16 6 2.6% 0
Salas pag. – 2,271 2,261 194.27 12 5.5% 0
Saukas pag. – 595 423 100.08 6 1.5% 0
Sēlpils pag. – 1,125 671 121.58 9 2.7% 0
Variešu pag. – 1,024 1,111 147.57 7 2.5% 0
Viesīte – 102 204 2.36 43 0.2% 0
Viesītes pag. – 1,730 2,176 310.41 6 4.2% 0
Vīpes pag. – 697 658 76.5 9 1.7% 0
Zasas pag. – 594 620 114.25 5 1.4% 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
None at this resolution
Ports
None at this resolution
Airports
None at this resolution
Major roads
None at this resolution
Railways
None at this resolution
Rivers and lakes
None at this resolution
05જોખમ

Risk values

Values when released. Subnational risk values for Jēkabpils novads publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Latvia.
Run a scenario Hazards Domain indices
06Neighbours

Neighbouring units

07સ્ત્રોતો

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen LVA ADM1, source: Geoportal of Latvia, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2021
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen LVA ADM2, source: Valsts zemes dienests, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2021
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.