NXS-GRX-PRT · Southern Europe · Regions

BEJA

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

Page GRX-PRT-REdition Baseline Edition 2026Evidence close 2026-09-30ISO PRT / PTStatus UN member stateValues not yet publishedMethod v1.0.0-draft
125,409
people (GHSL 2025)
10,259 km²
area
1.3%
of Portugal
14
units inside
01Map

Inside BEJA

The 14 ADM2 units of BEJA.

FIG 1 · 14 units inside BEJA
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

125,409

1.3% of Portugal.

People · WorldPop 2025

137,949

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

Area

10,259 km²

12 people per km².

Code

PT-02

Subdivision code as carried by the boundary source.

Low coastal zone

399

people on land at or below 10 m, 0.3% of the unit (GEBCO 2024 and GHSL 2025).

03Units

14 units inside BEJA

Each unit has its own page.

Boundary licences: Open Data Commons Open Database License 1.0 · CC0 1.0 Universal (CC0 1.0) Public Domain Dedication.

UnitCodePeople (GHSL)People (WorldPop)Area km²Per km²ShareCoast ≤ 10 m
AljustrelADM 27,1338,420480.91155.5%0
AlmodovarADM 26,2576,798830.4284.8%0
AlvitoADM 24,3574,365276.48163.4%0
BarrancosADM 21,5571,264235.4671.2%0
BejaADM 231,05732,6821,089.492924%0
Castro VerdeADM 25,9136,584617.12104.6%0
CubaADM 23,6903,748184.19202.8%0
Ferriera do AlentejoADM 25,9416,634642.4394.6%0
MertolaADM 25,7095,6961,302.2144.4%0
MouraADM 212,44911,981902.44149.6%0
OdemiraADM 221,96330,2041,655.061316.9%399
OuriqueADM 24,9965,141677.273.9%0
SerpaADM 213,31913,1541,135.331210.3%0
VidigueiraADM 25,2595,406432.88124.1%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
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
05Risk

Risk values

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

Neighbouring units

07Sources

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen PRT ADM1, source: DG Territory © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2016. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen PRT ADM2, source: Wikipedia, licence: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication · source · represents 2020
ADM3 boundaries
geoBoundaries (William & Mary geoLab), gbOpen PRT ADM3, source: geoBoundaries, DG Territory, licence: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication · 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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