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SVERIGEFAKTA

Compare municipalities

Select up to four municipalities and compare verified key figures on population, work, economy and tax, schools, housing, health and crime. Every metric is compared for the same period across all selected municipalities — otherwise it is not shown.

Last updated: View changelog

AleprofilePartilleprofile

Overview

Ale
County: Västra Götalands län
Population 2025: 32,625
Full municipal profile
Partille
County: Västra Götalands län
Population 2025: 41,172
Full municipal profile

Quick comparison

Sverigefakta does not rank municipalities as good or bad. “Highest” and “Lowest” describe only the numeric value among the selected municipalities.

Population (31 Dec)
2025 · people

Ale
32,625 peopleLowest
Partille
41,172 peopleHighest
National (municipal mean)

Population change, 5 years
2025 · %

Ale
2.4 %Lowest
Partille
4.2 %Highest
National (municipal mean)

Municipal tax rate (%)
2025 · %

Ale
21.4 %Highest
Partille
19.9 %Lowest
National (municipal mean)
21.7

Median income, 20+
2024 · SEK

Ale
387,300 SEKLowest
Partille
412,800 SEKHighest
National (municipal mean)
345,416

Year 9 pupils eligible for vocational upper secondary programmes (%)
2025 · %

Ale
81.6 %Lowest
Partille
85.8 %Highest
National (municipal mean)
81.5

Overcrowding in apartment blocks (norm 2), share (%)
2025 · %

Ale
15.2 %Highest
Partille
13.3 %Lowest
National (municipal mean)
13.5

Life expectancy, women
2025 · years

Ale
84.6 yearsLowest
Partille
85.8 yearsHighest
National (municipal mean)
84.7

Reported violent offences (per 100,000)
2025 · /100k

Ale
708.6 /100kLowest
Partille
734.6 /100kHighest
National (municipal mean)
885.9
Data points (observation IDs)

Population (31 Dec) over time

2002–2025 · people · Municipalities

Verified time series for the selected municipalities, same definition and same years.

Population (31 Dec) over time: Ale moves from 25,835 (2002) to 32,625 (2025) — up 6,790 people. Full values are available in the data table below (2002–2025, Municipalities).

Population (31 Dec) over time · people · 2002–2025 · Municipalities
YearAlePartille
2 00225 83533 088
2 00325 99333 192
2 00426 28833 281
2 00526 40533 543
2 00626 80033 614
2 00727 09233 699
2 00827 32333 802
2 00927 39434 382
2 01027 44235 084
2 01127 57735 518
2 01227 84235 837
2 01328 07436 147
2 01428 42336 528
2 01528 86236 977
2 01629 54937 316
2 01730 22337 880
2 01830 92638 443
2 01931 40239 289
2 02031 86839 512
2 02132 14839 529
2 02232 39439 852
2 02332 44640 730
2 02432 57641 060
2 02532 62541 172

Method: Only years where every selected municipality has a verified value are shown.

Source: SCB BE0101N1

Comparison by topic

Population

Annual population change
2025 · people

Ale
49.0 peopleLowest
Partille
112.0 peopleHighest
National (municipal mean)

Population change, 10 years
2025 · %

Ale
13.0 %Highest
Partille
11.3 %Lowest
National (municipal mean)

Residents aged 0–19, share (%)
2025 · %

Ale
26.5 %Highest
Partille
26.5 %Lowest
National (municipal mean)
22.0

Residents aged 20–64, share (%)
2025 · %

Ale
55.8 %Lowest
Partille
55.9 %Highest
National (municipal mean)
52.6

Residents aged 65–79, share (%)
2025 · %

Ale
12.0 %Lowest
Partille
12.4 %Highest
National (municipal mean)
17.6

Residents aged 80+, share (%)
2025 · %

Ale
5.7 %Highest
Partille
5.3 %Lowest
National (municipal mean)
7.8

Deaths, number
2025 · people

Ale
243.0 peopleLowest
Partille
264.0 peopleHighest
National (municipal mean)
318.1

Births, number
2025 · people

Ale
279.0 peopleLowest
Partille
454.0 peopleHighest
National (municipal mean)
336.2

Demographic dependency ratio
2025 · ratio

Ale
0.79 ratioHighest
Partille
0.79 ratioLowest
National (municipal mean)
0.91

In-migration to the municipality
2025 · people

Ale
1,774.0 peopleLowest
Partille
3,141.0 peopleHighest
National (municipal mean)
2,132.5

Net domestic migration
2025 · people

Ale
6.0 peopleHighest
Partille
-79.0 peopleLowest
National (municipal mean)
0.1

Out-migration from the municipality
2025 · people

Ale
1,774.0 peopleLowest
Partille
3,223.0 peopleHighest
National (municipal mean)
2,091.4
Data points (observation IDs)

Work

Residents receiving social assistance during the year, share of population (%)
2025 · %

Ale
2.0 %Highest
Partille
1.5 %Lowest
National (municipal mean)
2.4

Employed refugees/family reunified 20–64, 4–6 years of residence, share (%)
2024 · %

Ale
61.8 %Lowest
Partille
70.9 %Highest
National (municipal mean)
61.2

Households receiving social assistance, number
2025 · households

Ale
390.0 householdsLowest
Partille
417.0 householdsHighest
National (municipal mean)
522.6

Employment rate, foreign-born 20–64 (%)
2024 · %

Ale
78.6 %Highest
Partille
77.2 %Lowest
National (municipal mean)
70.2

Residents aged 16–24 not in employment, education or training (%)
2024 · %

Ale
6.2 %Highest
Partille
5.6 %Lowest
National (municipal mean)
6.9
Data points (observation IDs)

Economy & tax

Net cost of elderly care, SEK per resident
2025 · SEK/resident

Ale
10,775 SEK/residentHighest
Partille
10,233 SEK/residentLowest
National (municipal mean)
17,158

Net cost of social services (IFO), SEK per resident
2025 · SEK/resident

Ale
5,448.2 SEK/residentHighest
Partille
3,667.7 SEK/residentLowest
National (municipal mean)
5,333.4

Net income as share of tax revenue & general grants (%)
2025 · %

Ale
4.3 %Lowest
Partille
5.0 %Highest
National (municipal mean)
3.5

Tax base per resident (SEK)
2025 · SEK

Ale
298,830 SEKLowest
Partille
327,079 SEKHighest
National (municipal mean)
280,284

Equity ratio, municipality (%)
2025 · %

Ale
53.2 %Highest
Partille
37.7 %Lowest
National (municipal mean)
40.5
Data points (observation IDs)

Schools

Year 9 pupils eligible for vocational programmes, municipal schools (%)
2025 · %

Ale
81.2 %Lowest
Partille
85.2 %Highest
National (municipal mean)
80.8

Year 9 pupils passing all subjects (%)
2025 · %

Ale
71.0 %Lowest
Partille
75.2 %Highest
National (municipal mean)
67.9

Upper-secondary students graduating within 3 years, home municipality (%)
2025 · %

Ale
73.1 %Lowest
Partille
75.6 %Highest
National (municipal mean)
69.3

Upper-secondary students graduating within 4 years, home municipality (%)
2025 · %

Ale
75.1 %Lowest
Partille
79.7 %Highest
National (municipal mean)
73.5

Year 9 average merit rating, home municipality (17 subjects)
2025 · points

Ale
225.0 pointsLowest
Partille
238.0 pointsHighest
National (municipal mean)
218.3

Year 9 merit rating, municipality of location (17 subjects)
2025 · points

Ale
224.5 pointsLowest
Partille
233.6 pointsHighest
National (municipal mean)
217.0
Data points (observation IDs)

Housing

Completed dwellings
2025 · dwellings

Ale
136.0 dwellingsHighest
Partille
77.0 dwellingsLowest
National (municipal mean)
108.1

Rental dwellings, number per 1,000 residents
2025 · per 1,000 residents

Ale
116.9 per 1,000 residentsLowest
Partille
156.2 per 1,000 residentsHighest
National (municipal mean)
171.6

Completed detached houses per 1,000 residents
2025 · per 1,000 residents

Ale
0.6 per 1,000 residentsLowest
Partille
1.9 per 1,000 residentsHighest
National (municipal mean)
0.6

Apartment price, SEK/m²
2025 · SEK/m²

Ale
30,756 SEK/m²Lowest
Partille
34,054 SEK/m²Highest
National (municipal mean)
17,205

House prices, detached houses, SEK/m²
2025 · SEK/m²

Ale
30,721 SEK/m²Lowest
Partille
46,691 SEK/m²Highest
National (municipal mean)
21,704

Overcrowding in apartment blocks (norm 3), share (%)
2025 · %

Ale
39.5 %Highest
Partille
36.4 %Lowest
National (municipal mean)
36.4
Data points (observation IDs)

Health

Life expectancy, men
2025 · years

Ale
82.0 yearsLowest
Partille
82.6 yearsHighest
National (municipal mean)
81.3

Residential elderly care users satisfied overall (%)
2025 · %

Ale
87.1 %Highest
Partille
71.6 %Lowest
National (municipal mean)
78.1

Ongoing stress-related sick leave, annual average share of population (%)
2025 · %

Ale
0.7 %Highest
Partille
0.5 %Lowest
National (municipal mean)
0.5
Data points (observation IDs)

Crime

Reported offences against liberty and peace (per 100,000)
2025 · /100k

Ale
1,371.2 /100kHighest
Partille
1,199.2 /100kLowest
National (municipal mean)
1,418.9

Reported offences, total (per 100,000)
2025 · /100k

Ale
8,331.8 /100kLowest
Partille
8,810.1 /100kHighest
National (municipal mean)
9,856.9

Reported economic crime (per 100,000)
2025 · /100k

Ale
2,058.4 /100kHighest
Partille
1,916.7 /100kLowest
National (municipal mean)
2,075.2

Reported gross violation of a woman's integrity (per 100,000)
2025 · /100k

Ale
18.4 /100kLowest
Partille
24.3 /100kHighest
National (municipal mean)
8.4

Reported drug offences (per 100,000)
2025 · /100k

Ale
552.2 /100kHighest
Partille
481.6 /100kLowest
National (municipal mean)
825.5

Reported sexual offences (per 100,000)
2025 · /100k

Ale
156.5 /100kHighest
Partille
153.2 /100kLowest
National (municipal mean)
187.2
Data points (observation IDs)

Politics

Assignments per elected municipal politician
2025 · assignments/politician

Ale
1.8 assignments/politicianLowest
Partille
1.9 assignments/politicianHighest
National (municipal mean)
1.8

Residents per elected municipal politician
2025 · residents/politician

Ale
246.8 residents/politicianLowest
Partille
350.9 residents/politicianHighest
National (municipal mean)
221.4
Data points (observation IDs)

Calculated and specialised measures

The measures below are not official municipal observations in the same sense as the tables above. They are calculated by Sverigefakta or taken from situation reports and model estimates, and are therefore reported separately.

Estimated net cost per resident per year
Model estimate
Note: Model estimate = (received / 5) × Ruist's average annual net cost per person (SEK 74,000 in 2018 prices, inflation-adjusted) / population. It covers only the last five years of reception and is not official municipal accounting.

Ale
-127 SEK
Partille
-134 SEK
National
About the data. The comparison uses the municipal engine's verified time series — the same figures, definitions and sources as the municipal pages. For every metric we use the latest period in which all selected municipalities have a verified value. If no common period exists the metric is omitted entirely; nothing is imputed and years are never mixed within a row.

About the tool

Compare municipalities — method, units and sources

Choose up to four municipalities and see them side by side on the same indicator, the same year and the same unit. The national mean is shown as a reference. Shareable URL — the recipient opens the same comparison.

Method & limitations

  • All compared municipalities are shown for the same year per indicator. Where an indicator is missing '—' is displayed.
  • Units are fixed per row (percent, SEK, count per 1,000). Rows never mix units within the same column.
  • The national mean is the source's own national row (SCB / Kolada / Migrationsverket) — not an average of municipalities.
  • Ranking or best/worst colours are only used where the indicator has a clear direction (e.g. upper-secondary eligibility, higher is better).
  • Net cost is a model estimate: Ruist's 74,000 SEK/year × arrivals 2020–2024 / population. Not official municipal accounts.
  • The clear button resets selections. URL parameters make the comparison shareable.

Primary sources

Agencies and research institutions behind this page

4

agencies/institutions

2

reports & studies

6

primary datasets

All primary sources

Definitions

How the numbers are counted — and what they do not cover

Per capita / per 1,000 / per 100,000
Normalising an absolute number by population size, so municipalities of different sizes can be compared. Shootings, for example, are usually reported per 100,000 inhabitants.
Median vs mean
The median is the middle value in a sorted series. The mean is the sum divided by the count and is much more sensitive to outliers. Incomes and wealth are therefore usually reported as medians.
Ranking & percentile
The ranking is the municipality's place in the sorted list of all 290 municipalities. The percentile is the share below the municipality — rank 29 of 290 ≈ the 90th percentile.Ties use shared ranking (e.g. two municipalities both at rank 10).

Frequently asked questions

Short answers to what is most often discussed

No — we cap at four. Beyond that the table becomes hard to read on mobile and colour coding loses its meaning. Use /en/comparisons for county-vs-county perspectives.