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I-Global Risks Index

NXS-GRX-LVA · Northern Europe · Regions

Tukuma 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
42,640
people (GHSL 2025)
2,438 km²
area
2.4%
of Latvia
23
units inside

01Map

Inside Tukuma novads

The 23 ADM2 units of Tukuma novads.

FIG 1 · 23 units inside Tukuma 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

42,640

2.4% of Latvia.

People · WorldPop 2025

44,496

+4% against GHSL; the two grids differ in method.

Indawo

2,438 km²

17 people per km².

Ikhowudi

LV-099

Subdivision code as carried by the boundary source.

Low coastal zone

1,507

people on land at or below 10 m, 3.5% of the unit (GEBCO 2024 and GHSL 2025).

03Units

23 units inside Tukuma novads

Each unit has its own page.

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

Unit Ikhowudi People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Cēres pag. – 585 471 47.35 12 1.4% 0
Degoles pag. – 922 731 66.98 14 2.2% 0
Džūkstes pag. – 1,679 1,355 183.26 9 3.9% 8
Engures pag. – 951 1,201 132.49 7 2.2% 185
Irlavas pag. – 1,116 945 113.43 10 2.6% 0
Jaunpils pag. – 1,917 1,853 156.37 12 4.5% 0
Jaunsātu pag. – 1,643 1,164 94.75 17 3.9% 0
Kandava – 1,914 3,302 9.29 206 4.5% 0
Kandavas pag. – 1,391 1,157 167.15 8 3.3% 0
Lapmežciema pag. – 1,740 1,768 49.01 36 4.1% 968
Lestenes pag. – 636 486 83.38 8 1.5% 0
Matkules pag. – 885 482 62.65 14 2.1% 0
Pūres pag. – 1,328 1,255 101.93 13 3.1% 0
Sēmes pag. – 1,399 1,030 144.15 10 3.3% 0
Slampes pag. – 3,428 3,705 154.39 22 8% 160
Smārdes pag. – 2,041 2,421 213.45 10 4.8% 97
Tukums – 7,820 10,733 13.29 588 18.3% 0
Tumes pag. – 7,014 8,018 111.59 63 16.4% 0
Vānes pag. – 1,431 723 166.05 9 3.4% 0
Viesatu pag. – 249 209 52.06 5 0.6% 0
Zantes pag. – 720 450 95.73 8 1.7% 0
Zemītes pag. – 890 527 97.84 9 2.1% 0
Zentenes pag. – 941 510 122.31 8 2.2% 65
04Ukuchaphazeleka

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
05Umngcipheko

Risk values

Values when released. Subnational risk values for Tukuma 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

07Imithombo

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.
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.

Imeko

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.