Skip to content

Foundry

The Global Risks Index

NXS-GRX-SWE · Northern Europe · Regions

Skåne län

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

Map All 21 first-level units
Page GRX-SWE-REdition Baseline Edition 2026Evidence close 2026-09-30ISO SWE / SEStatus UN member stateValues not yet publishedMethod v1.0.0-draft
1,395,485
people (GHSL 2025)
11,278 km²
area
13.7%
of Sweden
32
units inside

01Ramani

Inside Skåne län

The 32 ADM2 units of Skåne län.

FIG 1 · 32 units inside Skåne län
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.

Watu · GHSL 2025

1,395,485

13.7% of Sweden.

Watu · WorldPop 2025

1,348,149

-3% against GHSL; the two grids differ in method.

Area

11,278 km²

124 people per km².

Code

SE-M

Subdivision code as carried by the boundary source.

Ukanda wa pwani ulio chini

285,136

people on land at or below 10 m, 20.4% of the unit (GEBCO 2024 and GHSL 2025).

03Units

32 units inside Skåne län

Each unit has its own page.

Boundary licences: Creative Commons Attribution 3.0 License · CC0 1.0 Universal (CC0 1.0) Public Domain Dedication.

Unit Code People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Ängelholm – 44,175 42,961 465.97 95 3.3% 5,983
Åstorp – 11,744 9,741 92.78 127 0.9% 596
Bjuv – 20,150 18,642 115.77 174 1.5% 144
Bromölla – 11,815 12,334 184.65 64 0.9% 4,636
Burlöv – 7,733 10,145 20.28 381 0.6% 2,517
Eslöv – 33,827 31,539 442.85 76 2.5% 0
Hässleholm – 55,440 50,138 1,315.33 42 4.1% 0
Helsingborg – 150,285 154,822 397.72 378 11.1% 24,082
Höganäs – 22,212 22,793 164.64 135 1.6% 13,774
Höör – 18,975 18,956 319.41 59 1.4% 0
Hörby – 15,520 13,962 407.05 38 1.1% 0
Kävlinge – 28,559 26,461 172.08 166 2.1% 8,632
Klippan – 16,064 15,703 364.16 44 1.2% 0
Kristianstad – 93,789 87,915 1,376.88 68 6.9% 47,659
Landskrona – 30,111 26,709 179.93 167 2.2% 4,867
Lomma – 22,747 22,998 85.77 265 1.7% 11,911
Lund – 65,537 59,106 431.86 152 4.8% 16
Malmö – 356,564 340,722 151.4 2,355 26.3% 106,482
Örkelljunga – 11,823 10,531 304.29 39 0.9% 0
Osby – 17,563 14,611 598.25 29 1.3% 0
Östra Göinge – 16,198 15,746 451.92 36 1.2% 0
Perstorp – 1,148 1,185 158.81 7 0.1% 0
Simrishamn – 18,976 15,832 372.01 51 1.4% 846
Sjöbo – 19,893 18,561 495.68 40 1.5% 0
Skurup – 13,280 13,451 216.4 61 1% 366
Staffanstorp – 76,559 78,960 107.4 713 5.6% 898
Svalöv – 12,423 12,427 380.69 33 0.9% 0
Svedala – 34,937 36,013 229.62 152 2.6% 2,116
Tomelilla – 12,172 11,107 382.32 32 0.9% 0
Trelleborg – 55,328 52,374 437.94 126 4.1% 12,321
Vellinge – 48,830 50,654 187.97 260 3.6% 14,535
Ystad – 12,775 11,537 428.67 30 0.9% 972
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
685.8 H3 cells
Bandari
1 H3 cells
Viwanja vya ndege
None at this resolution
Major roads
502.8 H3 cells
Reli
722.4 H3 cells
Rivers and lakes
None at this resolution
05Hatari

Risk values

Values when released. Subnational risk values for Skåne län publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Sweden.
Run a scenario Hazards Domain indices
06Neighbours

Neighbouring units

07Vyanzo

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen SWE ADM1, source: geoBoundaries, Erik Frohne, licence: Creative Commons Attribution 3.0 License · source · represents 2009
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen SWE ADM2, source: geoBoundaries, Wikimedia Commons, licence: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication · source · represents 2017
ADM3 boundaries
geoBoundaries (William & Mary geoLab), gbOpen SWE ADM3, source: Lantmateriet, Statistics Sweden, licence: Public Domain · source · represents 2018
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

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.

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

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.