Loading
Assembling your view…
Crunching costs, sorting signals, rendering insights.
Crunching costs, sorting signals, rendering insights.
Safest cities in Västmanland, Sweden in 2026. Västerås leads with a safety score of 68/100 and crime rate of 58.2/1k. Average safety across the region is 68/100.
Safest cities in Västmanland, Sweden in 2026. Västerås leads with a safety score of 68/100 and crime rate of 58.2/1k. Average safety across the region is 68/100.
| # | City | Cost Index | Rent/mo | Income | QoL | Safety |
|---|---|---|---|---|---|---|
| 1 | Västerås | 99 | 8 000 kr | 362 000 kr | 68 | 68 |
Västerås ranks #1 with a cost index of 99 and rent of 8 000 kr/month.
Average cost index across these cities: 99 (-2 vs national average of 101).
Average quality of life: 68/100. Top: Västerås at 68/100.
Safest city: Västerås (68/100 safety score).
The numbers tell a story most people wouldn't expect. Västerås stands out as the top-ranked city in this analysis. With a cost index of 99 and median income of 362 000 kr, it offers below-average costs relative to the rest of Sweden. Financially, that's significant.
On quality of life, Västerås leads with a composite score of 68/100 — reflecting its safety (68), healthcare (74), and walkability (72) metrics. But here's the flip side: affordability and QoL don't always move in the same direction, and Sweden is a good example of that tension.
Västerås ranks #1 in Västmanland for this analysis with a cost index of 99 and median income of 362 000 kr.
The region average QoL score is 69/100. Västerås leads with 68/100, reflecting safety, healthcare access, walkability, and green space.
Our index is benchmarked to 100 (national median). Sub-categories cover housing, food, transport, utilities, and healthcare. Data sources include SCB, Lantmäteriet, Skatteverket.
This analysis uses data from SCB, Lantmäteriet, Skatteverket to rank cities in Sweden. The cost of living index is benchmarked to 100 (national median). Quality of life scores combine safety, healthcare, walkability, air quality, green space, and transit metrics. Salary ranges use national occupation data adjusted for local cost differences. Data is updated regularly to reflect current market conditions.