Assembling your view…
Crunching costs, sorting signals, rendering insights.
Crunching costs, sorting signals, rendering insights.
Safest cities in Dalarna, Sweden in 2026. Falun leads with a safety score of 80/100 and crime rate of 35.2/1k. Average safety across the region is 80/100.
Safest cities in Dalarna, Sweden in 2026. Falun leads with a safety score of 80/100 and crime rate of 35.2/1k. Average safety across the region is 80/100.
Falun ranks #1 with a cost index of 89 and rent of 7 000 kr/month.
Average cost index across these cities: 89 (-8 vs national average of 97).
Average quality of life: 71/100. Top: Falun at 71/100.
Safest city: Falun (80/100 safety score).
Here's what the headline numbers don't tell you: Falun stands out as the top-ranked city in this analysis. With a cost index of 89 and median income of 340 000 kr, it offers below-average costs relative to the rest of Sweden. Financially, that's significant.
On quality of life, Falun leads with a composite score of 71/100 — reflecting its safety (80), healthcare (72), and walkability (62) metrics. And here's the trade-off: affordability and QoL don't always move in the same direction, and Sweden is a good example of that tension.
| # | City | Cost Index | Rent/mo | Income | QoL | Safety |
|---|---|---|---|---|---|---|
| 1 | Falun | 89 | 7 000 kr | 340 000 kr | 71 | 80 |
Falun ranks #1 in Dalarna for this analysis with a cost index of 89 and median income of 340 000 kr.
The region average QoL score is 70/100. Falun leads with 71/100, reflecting its 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.