Loading
Assembling your view…
Crunching costs, sorting signals, rendering insights.
Crunching costs, sorting signals, rendering insights.
Ranking of cities in Gotland for 2026. Visby leads with a cost index of 100 and rent of 8 200 kr/month.
Visby ranks #1 with a cost index of 100 and rent of 8 200 kr/month.
Average cost index across these cities: 100 (-1 vs national average of 101).
Average quality of life: 70/100. Top: Visby at 70/100.
Safest city: Visby (88/100 safety score).
0 out of 1 cities keep rent under 30% of a 250K kr gross income.
| # | City | Cost Index | Rent/mo | Income |
|---|---|---|---|---|
| 1 | Visby | 100 | 8 200 kr | 347 000 kr |
The real cost of living can't be reduced to a single number. But this comes close: Visby stands out as the top-ranked city in this analysis. With a cost index of 100 and median income of 347 000 kr, it offers below-average costs relative to the rest of Sweden. This combination is rare — and valuable.
On quality of life, Visby leads with a composite score of 70/100 — reflecting its safety (88), healthcare (68), and walkability (78) 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.
Visby ranks #1 in Gotland for this analysis with a cost index of 100 and median income of 347 000 kr.
In Visby, rent would be about 39% of your gross monthly income on 250K kr. Consider cost-cutting measures or a roommate.
The region average QoL score is 69/100. Visby leads with 70/100, 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.