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Crunching costs, sorting signals, rendering insights.
Crunching costs, sorting signals, rendering insights.
Gävle digital nomad score: 72/100 — internet 85 Mbps, walk score 68/100, safety 68/100, rent 7 500 kr/mo, nightlife 38/100. Full breakdown vs Gävleborg peers.
Gävle digital nomad score: 72/100 — internet 85 Mbps, walk score 68/100, safety 68/100, rent 7 500 kr/mo, nightlife 38/100. Full breakdown vs Gävleborg peers.
Gävle: cost index 93 (-8 vs national avg 101), rent 7 500 kr/month.
Gävleborg region average cost index: 101. Gävle is -8 vs region peers.
Quality of life: 69/100 — safety 68, healthcare 72, walkability 68.
Safety score: 68/100 (crime rate 58.9/1k). National average: 73/100.
One stat flips the usual narrative: Gävle has a cost index of 93 — 8 points below the Sweden national average of 101. Median income is 352 000 kr with rent at 7 500 kr/month, putting the rent-to-income ratio at 26%. Financially, that's significant.
Context matters here. looking at Gävleborg as a whole, the spread across all 24 cities is 3 points on the cost index. Eskilstuna sits at the other end with index 96 and rent of 7 700 kr/mo. This stands out as genuinely impressive.
On quality of life, Gävle scores a composite score of 69/100 — reflecting its safety (68), healthcare (72), and walkability (68) metrics. That said, affordability and QoL don't always move in the same direction, and Sweden is a good example of that tension.
For digital nomads specifically, Gävle earns a DN score of 72/100, powered by 85 Mbps internet, walkability of 68/100, and a nightlife score of 38/100. This is an advantage that compounds over time.
| # | City | Cost Index | Rent/mo | Income | DN Score | Internet (Mbps) |
|---|---|---|---|---|---|---|
| 1 | Gävle | 93 | 7 500 kr | 352 000 kr | 72 | 85 |
| 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 | Sundsvall | 93 | 7 400 kr | 357 000 kr | 72 | 85 |
| 18 | Växjö | 95 | 7 500 kr | 357 000 kr | 72 | 90 |
| 19 | Karlskrona | 90 | 6 900 kr | 341 000 kr | 72 | 80 |
| 20 | Västerås | 99 | 8 000 kr | 362 000 kr | 72 | 100 |
Gävle — cost index 93, rent 7 500 kr/mo, income 352 000 kr, QoL 69/100.
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.
Gävle earns a digital nomad score of 72/100 — internet 85 Mbps, walk score 68/100, safety 68/100, rent 7 500 kr/month.
The Gävleborg region of average QoL score is 69/100. Gävle leads with 69/100, 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.
Gävle: cost index 93, rent 7 500 kr/mo, income 352 000 kr/yr, QoL 69/100. 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.