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Crunching costs, sorting signals, rendering insights.
Crunching costs, sorting signals, rendering insights.
Visby digital nomad score: 71/100 — internet 70 Mbps, walk score 78/100, safety 88/100, rent 8 200 kr/mo, nightlife 42/100. Full breakdown vs Gotland peers.
Visby digital nomad score: 71/100 — internet 70 Mbps, walk score 78/100, safety 88/100, rent 8 200 kr/mo, nightlife 42/100. Full breakdown vs Gotland peers.
Visby: cost index 100 (-1 vs national avg 101), rent 8 200 kr/month.
Gotland region average cost index: 101. Visby is -1 vs region peers.
Quality of life: 70/100 — safety 88, healthcare 68, walkability 78.
Safety score: 88/100 (crime rate 22.1/1k). National average: 73/100.
Here's what the headline numbers don't tell you: Visby has a cost index of 100 — 1 points below the Sweden national average of 101. Median income is 347 000 kr with rent at 8 200 kr/month, putting the rent-to-income ratio at 28%. This combination is rare — and valuable.
Zooming out, looking at Gotland as a whole, the spread across all 24 cities is 4 points on the cost index. Eskilstuna sits at the other end with index 96 and rent of 7 700 kr/mo. That's a difference you notice every single month.
On quality of life, Visby scores a composite score of 70/100 — reflecting its safety (88), healthcare (68), and walkability (78) 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.
For digital nomads specifically, Visby earns a DN score of 71/100, powered by 70 Mbps internet, walkability of 78/100, and a nightlife score of 42/100. That ratio is hard to beat anywhere else.
| # | City | Cost Index | Rent/mo | Income | DN Score | Internet (Mbps) |
|---|---|---|---|---|---|---|
| 1 | Visby | 100 | 8 200 kr | 347 000 kr | 71 | 70 |
| 2 | Lund | 112 | 9 700 kr | 400 000 kr | 74 | 125 |
| 3 | Linköping | 102 | 8 700 kr | 378 000 kr | 74 | 115 |
| 4 | Jönköping | 96 | 7 900 kr | 362 000 kr | 74 | 100 |
| 5 | Örebro | 97 | 8 000 kr | 362 000 kr | 74 | 105 |
| 6 | Umeå | 101 | 8 300 kr | 373 000 kr | 74 | 110 |
| 7 | Kalmar | 90 | 7 200 kr | 347 000 kr | 74 | 80 |
| 8 | Karlstad | 94 | 7 500 kr | 357 000 kr | 74 | 90 |
| 9 | Gothenburg | 112 | 10 100 kr | 395 000 kr | 73 | 130 |
| 10 | Malmö | 108 | 9 500 kr | 378 000 kr | 73 | 120 |
| 11 | Uppsala | 114 | 10 400 kr | 405 000 kr | 73 | 135 |
| 12 | Östersund | 94 | 7 500 kr | 357 000 kr | 73 | 80 |
| 13 | Helsingborg | 103 | 9 000 kr | 368 000 kr | 72 | 110 |
| 14 | Norrköping | 96 | 8 100 kr | 357 000 kr | 72 | 100 |
| 15 | Halmstad | 104 | 8 700 kr | 383 000 kr | 72 | 95 |
| 16 | Luleå | 96 | 7 600 kr | 378 000 kr | 72 | 90 |
| 17 | Gävle | 93 | 7 500 kr | 352 000 kr | 72 | 85 |
| 18 | Sundsvall | 93 | 7 400 kr | 357 000 kr | 72 | 85 |
| 19 | Växjö | 95 | 7 500 kr | 357 000 kr | 72 | 90 |
| 20 | Karlskrona | 90 | 6 900 kr | 341 000 kr | 72 | 80 |
Visby — cost index 100, rent 8 200 kr/mo, income 347 000 kr, QoL 70/100.
Lund — cost index 112, rent 9 700 kr/mo, income 400 000 kr, QoL 70/100.
Linköping — cost index 102, rent 8 700 kr/mo, income 378 000 kr, QoL 71/100.
Jönköping — cost index 96, rent 7 900 kr/mo, income 362 000 kr, QoL 71/100.
Örebro — cost index 97, rent 8 000 kr/mo, income 362 000 kr, QoL 69/100.
Visby earns a digital nomad score of 71/100 — internet 70 Mbps, walk score 78/100, safety 88/100, rent 8 200 kr/month.
The Gotland region of 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.
Visby: cost index 100, rent 8 200 kr/mo, income 347 000 kr/yr, QoL 70/100. Lund: cost index 112, rent 9 700 kr/mo, income 400 000 kr/yr, QoL 70/100.
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.