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Global Risks Index

NXS-GRX-LVA · Northern Europe · Regions

Valmieras 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
49,835
people (GHSL 2025)
2,933 km²
area
2.8%
of Latvia
31
units inside

01Ramani

Inside Valmieras novads

The 31 ADM2 units of Valmieras novads.

FIG 1 · 31 units inside Valmieras novads
Inapakia ramani

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.

Watu · GHSL 2025

49,835

2.8% of Latvia.

Watu · 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)

Unit Code People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Bērzaines pag. – 313 329 54.91 6 0.6% 0
Brenguļu pag. – 1,097 1,006 98.77 11 2.2% 0
Burtnieku pag. – 1,264 1,145 178.14 7 2.5% 0
Dikļu pag. – 1,329 1,066 155.72 9 2.6% 0
Ēveles pag. – 582 406 91.65 6 1.2% 0
Ipiķu pag. – 908 730 67.15 14 1.8% 0
Jērcēnu pag. – 1,058 1,042 148.8 7 2.1% 0
Jeru pag. – 2,827 3,326 124.97 23 5.6% 0
Kauguru pag. – 2,422 2,426 87.6 28 4.8% 0
Kocēnu pag. – 6,552 6,934 183.56 36 13% 0
Ķoņu pag. – 1,190 1,169 87.76 14 2.4% 0
Lodes pag. – 552 295 63.53 9 1.1% 0
Matīšu pag. – 588 728 80.23 7 1.2% 0
Mazsalaca – 129 195 2.84 45 0.3% 0
Mazsalacas pag. – 1,626 1,849 69.6 23 3.2% 0
Naukšēnu pag. – 1,058 966 191.38 6 2.1% 0
Plāņu pag. – 1,236 672 217.49 6 2.4% 0
Ramatas pag. – 553 312 170.03 3 1.1% 0
Rencēnu pag. – 1,756 1,419 159.18 11 3.5% 0
Rūjiena – 503 795 7.67 66 1% 0
Seda – 31 69 2 16 0.1% 0
Sēļu pag. – 251 167 61.26 4 0.5% 0
Skaņkalnes pag. – 630 420 111.62 6 1.2% 0
Strenči – 1,071 1,190 5.59 192 2.1% 0
Trikātas pag. – 709 765 112.61 6 1.4% 0
Vaidavas pag. – 772 809 72.59 11 1.5% 0
Valmiera – 15,883 16,618 19.29 823 31.5% 0
Valmieras pag. – 2,099 3,191 100.6 21 4.2% 0
Vecates pag. – 337 367 88.8 4 0.7% 0
Vilpulkas pag. – 734 349 88.02 8 1.5% 0
Zilākalna pag. – 438 920 29.37 15 0.9% 0
04Mfiduo

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
Bandari
None at this resolution
Viwanja vya ndege
None at this resolution
Major roads
302.1 H3 cells
Reli
335.2 H3 cells
Rivers and lakes
None at this resolution
05Hatari

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.
Run a scenario Hazards Domain indices
06Neighbours

Neighbouring units

07Vyanzo

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.
Nchi
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.

Hali

Mbinu, muundo na fasili za The Global Risks Index ni rasimu ya kazi ya maandalizi (2026), inayosambazwa kwa mapitio na maoni na si kwa utekelezaji. Hakuna thamani itakayoonekana hadi toleo litakapotolewa kutoka kato la ushahidi linalosimamiwa; kisha thamani zitakuwa na vipindi, madaraja, vyanzo na njia yake ya masahihisho. Viigaji huendesha mbinu zilizochapishwa kwa namba unazochagua na kamwe havionyeshi thamani ya NXS-GRX.

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.

NXS-GRX si nini

NXS-GRX ni taarifa ya utafiti na uchambuzi wa hatari. Si daraja la mikopo wala la ESG na haitumii kipimo chochote cha daraja, si kigezo cha vyombo vya fedha, si takwimu rasmi, si onyo la dharura wala uainishaji rasmi, na si ushauri. Haipaswi kutumiwa kutathmini watu binafsi. Madaraja ya hatari ni mikanda kwenye kipimo kilichochapishwa, kamwe si mpangilio wa nchi au watu.

Ishara za Pulse na uwezekano wa mtazamo ni taarifa za kukaguliwa na mamlaka husika, kamwe si maonyo ya umma; maonyo rasmi hutoka tu kwa mamlaka zilizopewa jukumu.

Taasisi na vyanzo

Nexus Consortium inasimamiwa na taasisi tatu huru zisizo za faida: The Global Centre for Risk and Innovation (GCRI), kupitia GCRI US huko Washington, DC na GCRI Canada huko Ontario, huku GCRI Canada ikiwa Taasisi Kiongozi, Sekretarieti ya Muungano na shirika kiongozi la mikataba; The Global Risks Forum (GRF); na The Global Risks Alliance (GRA). Watoa huduma za teknolojia, miundombinu na huduma hufanya kazi na Muungano kwa umbali chini ya makubaliano ya maandishi, kama kila mhusika mwingine wa nje katika muundo wa umma, sekta binafsi na sayari, na hawana jukumu lolote katika usimamizi wake.

Kila thamani ina utajo wa vyanzo vyake, ambavyo hubaki na leseni zao. Majina ya nje yanatajwa kwa ajili ya mwingiliano tu. Maandishi yaliyoandikwa na Nexus yanakusudiwa kuwa chini ya CC BY 4.0 yatakapotolewa.

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.