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NXS-GRX-LVA · Northern Europe · Regions

Augšdaugavas 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
43,017
people (GHSL 2025)
2,511 km²
area
2.4%
of Latvia
27
units inside

01Ramani

Inside Augšdaugavas novads

The 27 ADM2 units of Augšdaugavas novads.

FIG 1 · 27 units inside Augšdaugavas 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

43,017

2.4% of Latvia.

Watu · WorldPop 2025

38,818

-10% against GHSL; the two grids differ in method.

Area

2,511 km²

17 people per km².

Code

LV-111

Subdivision code as carried by the boundary source.

03Units

27 units inside Augšdaugavas 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
Ambeļu pag. – 293 225 69.02 4 0.7% 0
Bebrenes pag. – 1,046 663 102.26 10 2.4% 0
Biķernieku pag. – 553 367 68.49 8 1.3% 0
Demenes pag. – 1,492 866 180.48 8 3.4% 0
Dubnas pag. – 700 535 64.04 11 1.6% 0
Dvietes pag. – 611 466 117.92 5 1.4% 0
Eglaines pag. – 875 556 78.76 11 2% 0
Ilūkste – 186 326 8.63 22 0.4% 0
Kalkūnes pag. – 6,742 6,189 66.97 101 15.6% 0
Kalupes pag. – 669 880 118.61 6 1.5% 0
Laucesas pag. – 1,811 1,417 60.31 30 4.2% 0
Līksnas pag. – 9,057 8,990 137.29 66 20.9% 0
Maļinovas pag. – 1,039 887 71.86 14 2.4% 0
Medumu pag. – 1,246 758 116.32 11 2.9% 0
Naujenes pag. – 4,655 6,020 129.34 36 10.7% 0
Nīcgales pag. – 547 551 96.1 6 1.3% 0
Pilskalnes pag. – 2,013 2,185 124.44 16 4.6% 0
Prodes pag. – 942 770 93.42 10 2.2% 0
Salienas pag. – 787 668 123.64 6 1.8% 0
Šēderes pag. – 1,393 606 114.03 12 3.2% 0
Skrudalienas pag. – 763 603 99.1 8 1.8% 0
Subate – 126 138 5.31 24 0.3% 0
Sventes pag. – 2,128 1,676 126.3 17 4.9% 0
Tabores pag. – 822 563 76.66 11 1.9% 0
Vaboles pag. – 587 453 76.97 8 1.4% 0
Vecsalienas pag. – 655 465 81.65 8 1.5% 0
Višķu pag. – 1,590 1,459 103.54 15 3.7% 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
None at this resolution
Bandari
None at this resolution
Viwanja vya ndege
None at this resolution
Major roads
None at this resolution
Reli
None at this resolution
Rivers and lakes
None at this resolution
05Hatari

Risk values

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