Skip to content

Foundry

I-Global Risks Index

NXS-GRX-PRT · Southern Europe · Regions

LISBOA

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

Map All 20 first-level units
Page GRX-PRT-REdition Baseline Edition 2026Evidence close 2026-09-30ISO PRT / PTStatus UN member stateValues not yet publishedMethod v1.0.0-draft
2,356,669
people (GHSL 2025)
2,814 km²
area
24.1%
of Portugal
16
units inside

01Map

Inside LISBOA

The 16 ADM2 units of LISBOA.

FIG 1 · 16 units inside LISBOA
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

2,356,669

24.1% of Portugal.

People · WorldPop 2025

2,244,472

-5% against GHSL; the two grids differ in method.

Indawo

2,814 km²

837 people per km².

Ikhowudi

PT-11

Subdivision code as carried by the boundary source.

Low coastal zone

66,873

people on land at or below 10 m, 2.8% of the unit (GEBCO 2024 and GHSL 2025).

03Units

16 units inside LISBOA

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.

Unit Ikhowudi People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Alenquer ADM 2 27,822 24,888 243.22 114 1.4% 128
Amadora ADM 2 176,056 146,963 26.97 6,528 8.8% 0
Arruda dos Vinhos ADM 2 8,511 8,378 97.61 87 0.4% 0
Azambuja ADM 2 22,763 20,525 204.38 111 1.1% 2,646
Cadaval ADM 2 15,923 14,645 195.38 81 0.8% 0
Cascais ADM 2 199,232 188,913 111.3 1,790 9.9% 0
Lisboa ADM 2 480,230 452,825 76.95 6,241 24% 5,011
Loures ADM 2 152,724 139,866 144.67 1,056 7.6% 18,645
Lourinha ADM 2 36,523 34,094 215.3 170 1.8% 408
Mafra ADM 2 69,124 76,624 292.77 236 3.4% 0
Odivelas ADM 2 33,082 39,635 25.07 1,320 1.7% 0
Oeiras ADM 2 220,566 216,213 47.25 4,668 11% 0
Sintra ADM 2 393,037 378,080 292.65 1,343 19.6% 0
Sobral de Monte Agraco ADM 2 14,360 13,019 61.42 234 0.7% 0
Torres Vedras ADM 2 75,645 93,753 374.04 202 3.8% 1,326
Vila Franca de Xira ADM 2 78,093 79,331 279.87 279 3.9% 15,954
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 LISBOA publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Portugal.
Run a scenario Hazards Domain indices
06Neighbours

Neighbouring units

07Imithombo

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.
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.