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Statistics

Highest and lowest unemployment

Registered fully unemployed as a share of the labour force in the municipality.

Trysil has the highest unemployment of Norway's municipalities at 3.2% (2025). The lowest is Stord at 0.4%. Source: SSB, table 13563, processed by Morning Analytics 3 November 2026.

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3.2%Highest: Trysil
1.5%Median of the municipalities
0.4%Lowest: Stord

The picture in figures

The bars show the ten highest and the ten lowest of 183 municipalities. The dashed line is the median of all municipalities.

Highest 10
TrysilTrysil3.2%GloppenGloppen2.9%UllensakerUllensaker2.9%ÅsÅs2.8%SarpsborgSarpsborg2.8%LørenskogLørenskog2.7%FredrikstadFredrikstad2.5%HortenHorten2.4%HaldenHalden2.4%MossMoss2.4%
Lowest 10
StordStord0.4%SenjaSenja0.6%GausdalGausdal0.7%SveioSveio0.7%AustevollAustevoll0.8%Midtre GauldalMidtre Gauldal0.8%HarstadHarstad0.8%MålselvMålselv0.8%RørosRøros0.8%Nord-FronNord-Fron0.8%
How 183 municipalities spread
0.4% – 0.7%: 20.7% – 0.9%: 200.9% – 1.1%: 271.1% – 1.4%: 301.4% – 1.6%: 301.6% – 1.8%: 251.8% – 2.1%: 252.1% – 2.3%: 132.3% – 2.5%: 52.5% – 2.8%: 12.8% – 3.0%: 43.0% – 3.2%: 10.4%3.2%unemployment →

Each bar is the number of municipalities in a range of values. The dashed line is the median. Hover over a bar to see the range.

Analysis: why are some at the top and others at the bottom?

We compared unemployment with every other municipal figure we have, from Statistics Norway, NIPH and the Brønnøysund Register Centre. Below are the figures that go most closely together with unemployment across the country, and what marks the municipalities at the top and bottom on those figures.

The pattern across the country

  • Municipalities that rank high on «Centrality (Statistics Norway's centrality index, 6 is most central)» most often also rank high on unemployment (strong association, rank correlation 0.51 across 183 municipalities; Statistics Norway, centrality index).
  • Municipalities that rank high on «Projected population growth to 2050 (main alternative)» most often also rank high on unemployment (moderate association, rank correlation 0.41 across 183 municipalities; Statistics Norway table 14746).
  • Municipalities that rank high on «Net operating expenditure per inhabitant» most often rank low on unemployment (moderate association, rank correlation −0.39 across 183 municipalities; Statistics Norway table 12137).
  • Municipalities that rank high on «Gross operating revenue per inhabitant» most often rank low on unemployment (moderate association, rank correlation −0.37 across 183 municipalities; Statistics Norway table 12137).

The highest and the lowest

  • No. 1 Trysil (3.2%) The municipality does not stand out on the figures that otherwise go together with the measure. The explanation probably lies in something we have no figures for. Goes against the pattern: «Projected population growth to 2050 (main alternative)» −8.4% (no. 331 of 357 from the top; Statistics Norway table 14746). Most distinctive industry: sports- og fritidsaktiviteter og drift av fornøyelsesetablissementer, 7% of the jobs, 6.9 times the national share (Statistics Norway table 13470, 2025).
  • No. 2 Gloppen (2.9%) The municipality does not stand out on the figures that otherwise go together with the measure. The explanation probably lies in something we have no figures for. Goes against the pattern: «Projected population growth to 2050 (main alternative)» −4.0% (no. 286 of 357 from the top; Statistics Norway table 14746). Most distinctive industry: jordbruk og tjenester tilknyttet jordbruk, jakt og viltstell, 7% of the jobs, 5.2 times the national share (Statistics Norway table 13470, 2025).
  • No. 3 Ullensaker (2.9%) Fits the pattern: «Centrality (Statistics Norway's centrality index, 6 is most central)» 5 (no. 6 of 357 from the top; Statistics Norway, centrality index); «Projected population growth to 2050 (main alternative)» 31.7% (no. 7 of 357 from the top; Statistics Norway table 14746); «Net operating expenditure per inhabitant» 72,906 kr (no. 348 of 357 from the top; Statistics Norway table 12137). Most distinctive industry: lufttransport, 9% of the jobs, 43.6 times the national share (Statistics Norway table 13470, 2025).
  • No. 183 Stord (0.4%, among the lowest) The municipality does not stand out on the figures that otherwise go together with the measure. The explanation probably lies in something we have no figures for. Goes against the pattern: «Centrality (Statistics Norway's centrality index, 6 is most central)» 3 (no. 81 of 357 from the top; Statistics Norway, centrality index). Most distinctive industry: produksjon av andre transportmidler, 22% of the jobs, 39.5 times the national share (Statistics Norway table 13470, 2025).
  • No. 182 Senja (0.6%, among the lowest) Fits the pattern: «Projected population growth to 2050 (main alternative)» −3.0% (no. 270 of 357 from the top; Statistics Norway table 14746). Most distinctive industry: fiske, fangst og akvakultur, 9% of the jobs, 11.2 times the national share (Statistics Norway table 13470, 2025).
  • No. 181 Gausdal (0.7%, among the lowest) Fits the pattern: «Projected population growth to 2050 (main alternative)» −4.0% (no. 287 of 357 from the top; Statistics Norway table 14746). Goes against the pattern: «Centrality (Statistics Norway's centrality index, 6 is most central)» 3 (no. 81 of 357 from the top; Statistics Norway, centrality index). Most distinctive industry: produksjon av trelast og varer av tre, kork, strå og flettematerialer, unntatt møbler, 6% of the jobs, 15.6 times the national share (Statistics Norway table 13470, 2025).

The analysis describes what goes together, not what causes what. Two figures can follow each other because both depend on something else, such as size, location or industry. The figures are from the latest year available for each source, so the years can differ. Rank correlation runs from −1 to 1; values near 1 mean the municipalities lie in roughly the same order on both measures.

What explains the placing?

  • 1. Trysil 3.2% 121% above the median of the municipalities.
  • 2. Gloppen 2.9% 99% above the median of the municipalities.
  • 3. Ullensaker 2.9% 98% above the median of the municipalities.
  • 181. Gausdal 0.7% 53% below the median of the municipalities.
  • 182. Senja 0.6% 60% below the median of the municipalities.
  • 183. Stord 0.4% 70% below the median of the municipalities.
#Municipality County Inhabitants unemployment
1 Trysil Innlandet 6,474 3.2%
2 Gloppen Vestland 5,976 2.9%
3 Ullensaker Akershus 45,982 2.9%
4 Ås Akershus 22,725 2.8%
5 Sarpsborg Østfold 60,614 2.8%
6 Lørenskog Akershus 51,511 2.7%
7 Fredrikstad Østfold 86,243 2.5%
8 Horten Vestfold 28,173 2.4%
9 Halden Østfold 32,082 2.4%
10 Moss Østfold 53,207 2.4%
11 Drammen Buskerud 106,013 2.4%
12 Risør Agder 6,683 2.3%
13 Oslo Oslo 728,714 2.3%
14 Nesodden Akershus 21,005 2.2%
15 Årdal Vestland 5,178 2.2%
16 Heim Trøndelag 6,075 2.2%
17 Lillestrøm Akershus 96,771 2.2%
18 Aurskog-Høland Akershus 18,458 2.2%
19 Lillesand Agder 11,822 2.2%
20 Nordre Follo Akershus 65,381 2.2%
21 Porsgrunn Telemark 37,435 2.1%
22 Eidsvoll Akershus 28,739 2.1%
23 Rælingen Akershus 20,904 2.1%
24 Nannestad Akershus 16,662 2.1%
25 Steinkjer Trøndelag 24,007 2.0%
26 Ringerike Buskerud 31,942 2.0%
27 Nome Telemark 6,529 2.0%
28 Kragerø Telemark 10,378 2.0%
29 Tønsberg Vestfold 60,246 2.0%
30 Søndre Land Innlandet 5,603 2.0%
31 Råde Østfold 7,892 2.0%
32 Indre Østfold Østfold 47,943 2.0%
33 Sunndal Møre og Romsdal 7,094 2.0%
34 Tvedestrand Agder 6,430 2.0%
35 Bamble Telemark 14,267 2.0%
36 Nærøysund Trøndelag 9,920 2.0%
37 Skien Telemark 56,906 2.0%
38 Eidskog Innlandet 6,103 2.0%
39 Midt-Telemark Telemark 11,157 1.9%
40 Enebakk Akershus 11,697 1.9%
41 Modum Buskerud 14,776 1.9%
42 Surnadal Møre og Romsdal 5,982 1.9%
43 Gjøvik Innlandet 31,350 1.9%
44 Hole Buskerud 7,205 1.9%
45 Sandnes Rogaland 85,785 1.9%
46 Indre Fosen Trøndelag 10,006 1.9%
47 Nes Akershus 24,948 1.9%
48 Orkland Trøndelag 18,840 1.8%
49 Stavanger Rogaland 151,669 1.8%
50 Lier Buskerud 28,797 1.8%

Not ranked because the municipality has fewer than 5,000 inhabitants, where a few people can move the figure a lot (174): Alvdal (0.7%), Andøy (0.7%), Aremark (1.5%), Askvoll (1.1%), Aukra (1.0%), Aure (1.2%), Aurland (1.6%), Austrheim (1.5%), Bardu (0.4%), Beiarn (0.9%), Berlevåg (2.2%), Bindal (1.7%), Bjerkreim (1.0%), Bokn (1.8%), Bremanger (0.7%), Bygland (1.2%), Bykle (1.4%), Båtsfjord (2.4%), Bø (0.8%), Dovre (0.3%), Drangedal (1.3%), Dyrøy (1.9%), Dønna (0.9%), Eidfjord (2.3%), Engerdal (2.0%), Etne (1.0%), Etnedal (0.8%), Evenes (0.9%), Evje og Hornnes (1.8%), Fedje (2.4%), Fitjar (0.6%), Fjaler (0.8%), Fjord (0.5%), Flakstad (2.8%), Flatanger (1.2%), Flesberg (1.6%), Flå (1.4%), Folldal (0.4%), Frosta (1.8%), Fyresdal (1.7%) …