NXS-GRX-LVA · Northern Europe · Regions

Valmieras novads

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

Page GRX-LVA-REdition Baseline Edition 2026Evidence close 2026-09-30ISO LVA / LVStatus UN member stateValues not yet publishedMethod v1.0.0-draft
49,835
people (GHSL 2025)
2,933 km²
area
2.8%
of Latvia
31
units inside
01Map

Inside Valmieras novads

The 31 ADM2 units of Valmieras novads.

FIG 1 · 31 units inside Valmieras 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

49,835

2.8% of Latvia.

People · WorldPop 2025

50,617

+2% against GHSL; the two grids differ in method.

Area

2,933 km²

17 people per km².

Code

LV-113

Subdivision code as carried by the boundary source.

03Units

31 units inside Valmieras novads

Each unit has its own page.

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

UnitCodePeople (GHSL)People (WorldPop)Area km²Per km²ShareCoast ≤ 10 m
Bērzaines pag.–31332954.9160.6%0
Brenguļu pag.–1,0971,00698.77112.2%0
Burtnieku pag.–1,2641,145178.1472.5%0
Dikļu pag.–1,3291,066155.7292.6%0
Ēveles pag.–58240691.6561.2%0
Ipiķu pag.–90873067.15141.8%0
Jērcēnu pag.–1,0581,042148.872.1%0
Jeru pag.–2,8273,326124.97235.6%0
Kauguru pag.–2,4222,42687.6284.8%0
Kocēnu pag.–6,5526,934183.563613%0
Ķoņu pag.–1,1901,16987.76142.4%0
Lodes pag.–55229563.5391.1%0
Matīšu pag.–58872880.2371.2%0
Mazsalaca–1291952.84450.3%0
Mazsalacas pag.–1,6261,84969.6233.2%0
Naukšēnu pag.–1,058966191.3862.1%0
Plāņu pag.–1,236672217.4962.4%0
Ramatas pag.–553312170.0331.1%0
Rencēnu pag.–1,7561,419159.18113.5%0
Rūjiena–5037957.67661%0
Seda–31692160.1%0
Sēļu pag.–25116761.2640.5%0
Skaņkalnes pag.–630420111.6261.2%0
Strenči–1,0711,1905.591922.1%0
Trikātas pag.–709765112.6161.4%0
Vaidavas pag.–77280972.59111.5%0
Valmiera–15,88316,61819.2982331.5%0
Valmieras pag.–2,0993,191100.6214.2%0
Vecates pag.–33736788.840.7%0
Vilpulkas pag.–73434988.0281.5%0
Zilākalna pag.–43892029.37150.9%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
17.3 H3 cells
Ports
None at this resolution
Airports
None at this resolution
Major roads
302.1 H3 cells
Railways
335.2 H3 cells
Rivers and lakes
None at this resolution
05Risk

Risk values

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

Neighbouring units

07Sources

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.
Countries
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.
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