Mundevo
City comparison·United States flagSan FranciscovsUnited States flagSeattle

San Francisco vs Seattle: cost, quality of life, and the winner

San Francisco (composite 4.4) vs Seattle (composite 5.0). Side-by-side on affordability, quality of life, remote-work friendliness and healthcare — with the calculation behind each score.

Composite scores

Overall: Seattle wins by 0.6 points

San Francisco composite
4.4 / 10
fair
Seattle composite
5.0 / 10
fair
Analyst take

Seattle pulls ahead with a 5.0 score versus San Francisco's 4.4, a meaningful 0.6-point gap that reflects measurable differences in livability metrics or quality-of-life factors.

While both are Pacific Northwest tech hubs, Seattle's edge suggests it offers tangible advantages—whether cost-of-living relief, housing availability, or civic infrastructure—that San Francisco hasn't matched.

What to do

If you're weighing these cities, examine the specific scoring criteria behind Seattle's lead: dig into housing costs, transit quality, and job market stability to see which factors matter most for your move.

Score-by-score, side-by-side

Each axis is scored independently with disclosed weights and a calculation string.

AxisSan FranciscoSeattleWinner
Affordability0.01.0Seattle +1.0
Quality of life6.06.7Seattle +0.7
Remote-work friendliness6.77.2Seattle +0.5
Healthcare5.05.2Seattle +0.2
Score card · San Francisco
4.4/ 10 compositefair

Each axis is a weighted aggregate of underlying indicators normalized to a 0–10 scale. Weights are explicit and disclosed per axis. The composite is the unweighted mean of the four axes — axes are not collapsed further because the underlying trade-offs (e.g. low cost vs poor air quality) are user-dependent.

Affordability

0.0poor
  • Cost-of-living index (weight 60%)120
  • Rent index (weight 40%)115
How this is calculated

Affordability = ((100 − costIndex)/100 × 0.6 + (100 − rentIndex)/100 × 0.4) × 10. For San Francisco: ((100 − 120)/100 × 0.6 + (100 − 115)/100 × 0.4) × 10 = 0.

San Francisco is among the more expensive cities tracked. Salary expectations should be calibrated to the high cost base before relocating.

Quality of life

6.0good
  • Safety index (weight 40%)45
  • Healthcare index (weight 35%)72
  • Air quality index (weight 25%)68
How this is calculated

QoL = (safety/100 × 0.4 + healthcare/100 × 0.35 + airQuality/100 × 0.25) × 10. For San Francisco: (45/100 × 0.4 + 72/100 × 0.35 + 68/100 × 0.25) × 10 = 6.

San Francisco has a mixed quality profile. Safety: fair; healthcare: good; air: good. Weigh the weakest axis against your personal priorities.

Remote-work friendliness

6.7good
  • Internet (median Mbps) (weight 45%)280 Mbps
  • Effective income tax (lower = better) (weight 30%)17.0%
  • Cost-of-living (lower = better) (weight 25%)120
How this is calculated

RemoteWork = (min(Mbps/300, 1) × 0.45 + (1 − incomeTax) × 0.3 + (100 − costIndex)/100 × 0.25) × 10. For San Francisco: (min(280/300, 1) × 0.45 + (1 − 0.17) × 0.3 + (100 − 120)/100 × 0.25) × 10 = 6.7.

San Francisco works for remote work but isn't optimized for it: internet 280 Mbps, income tax 17%, cost index 120.

Healthcare

5.0fair
  • Healthcare quality index (weight 70%)72
  • Healthcare out-of-pocket / month (lower = better) (weight 30%)500
How this is calculated

Healthcare = (qualityIndex/100 × 0.7 + max(0, 1 − OOP/500) × 0.3) × 10. For San Francisco: (72/100 × 0.7 + max(0, 1 − 500/500) × 0.3) × 10 = 5.

San Francisco has trade-offs in healthcare: quality is good, typical out-of-pocket cost is ~500 USD/month. Cross-border insurance closes the gap.

Score card · Seattle
5.0/ 10 compositefair

Each axis is a weighted aggregate of underlying indicators normalized to a 0–10 scale. Weights are explicit and disclosed per axis. The composite is the unweighted mean of the four axes — axes are not collapsed further because the underlying trade-offs (e.g. low cost vs poor air quality) are user-dependent.

Affordability

1.0poor
  • Cost-of-living index (weight 60%)92
  • Rent index (weight 40%)88
How this is calculated

Affordability = ((100 − costIndex)/100 × 0.6 + (100 − rentIndex)/100 × 0.4) × 10. For Seattle: ((100 − 92)/100 × 0.6 + (100 − 88)/100 × 0.4) × 10 = 1.

Seattle is among the more expensive cities tracked. Salary expectations should be calibrated to the high cost base before relocating.

Quality of life

6.7good
  • Safety index (weight 40%)55
  • Healthcare index (weight 35%)75
  • Air quality index (weight 25%)75
How this is calculated

QoL = (safety/100 × 0.4 + healthcare/100 × 0.35 + airQuality/100 × 0.25) × 10. For Seattle: (55/100 × 0.4 + 75/100 × 0.35 + 75/100 × 0.25) × 10 = 6.7.

Seattle has a mixed quality profile. Safety: good; healthcare: good; air: good. Weigh the weakest axis against your personal priorities.

Remote-work friendliness

7.2good
  • Internet (median Mbps) (weight 45%)300 Mbps
  • Effective income tax (lower = better) (weight 30%)17.0%
  • Cost-of-living (lower = better) (weight 25%)92
How this is calculated

RemoteWork = (min(Mbps/300, 1) × 0.45 + (1 − incomeTax) × 0.3 + (100 − costIndex)/100 × 0.25) × 10. For Seattle: (min(300/300, 1) × 0.45 + (1 − 0.17) × 0.3 + (100 − 92)/100 × 0.25) × 10 = 7.2.

Seattle combines fast internet (300 Mbps median), a 17% effective income tax and cost index 92 — a strong configuration for remote workers earning in a stronger currency.

Healthcare

5.2fair
  • Healthcare quality index (weight 70%)75
  • Healthcare out-of-pocket / month (lower = better) (weight 30%)500
How this is calculated

Healthcare = (qualityIndex/100 × 0.7 + max(0, 1 − OOP/500) × 0.3) × 10. For Seattle: (75/100 × 0.7 + max(0, 1 − 500/500) × 0.3) × 10 = 5.2.

Seattle has trade-offs in healthcare: quality is good, typical out-of-pocket cost is ~500 USD/month. Cross-border insurance closes the gap.

Monthly cost delta: San Francisco vs Seattle

Normalized to USD at 1 USD = 1.0000 USD.

CategorySan FranciscoSeattleChange
housing$3,500$2,800-20%
food$700$650-7%
transport$80$100+25%
utilities$200$200+0%
leisure$700$650-7%
healthcare$500$500+0%

Where each city's money goes

Two cities can have the same monthly total but very different shapes — one might burn 50% on housing while the other splits more evenly. The composition matters as much as the headline.

San Francisco62% housing
Seattle57% housing
housing
food
transport
utilities
leisure
healthcare

The biggest shape difference is housing: San Francisco spends 4.5 percentage points more of its budget on it (62% vs. 57%). If you're sensitive to that category, weight the per-axis scores accordingly.

Salary equivalence: San Francisco ↔ Seattle

What earning the same purchasing power costs in each city. Cost-adjusted using the local cost-of-living index (San Francisco = 120, Seattle = 92); currency-converted at 1 USD = 1.0000 USD. Tax differences are not modeled.

Earning in San Francisco, moving to Seattle
USD → equivalent USD
San Francisco grossSeattle equivalent
$40,000$30,667
$75,000$57,500
$120,000$92,000
Earning in Seattle, moving to San Francisco
USD → equivalent USD
Seattle grossSan Francisco equivalent
$40,000$52,174
$75,000$97,826
$120,000$156,522

Equivalence here means same cost-of-living purchasing power, not same net take-home. Effective tax rates differ between countries; a salary equivalent on cost can still net more or less depending on the destination's tax regime. Use the calculator for tax-adjusted figures at a specific lifestyle tier.

Pros and cons

Why pick San Francisco

San Francisco doesn't have any standout advantages of ≥0.3 points on the scoring model.

Why pick Seattle

  • Wins on affordability (+1.0 points vs San Francisco).
  • Wins on quality of life (+0.7 points vs San Francisco).
  • Wins on remote-work friendliness (+0.5 points vs San Francisco).

San Francisco trade-offs

  • Trails Seattle on affordability by 1.0 points.
  • Trails Seattle on quality of life by 0.7 points.
  • Trails Seattle on remote-work friendliness by 0.5 points.

Seattle trade-offs

No material trade-offs versus San Francisco on the scored axes.

Who should choose which

The composite winner doesn't always match what matters to you. These four reader profiles weigh the axes differently — find the closest fit.

Young remote pro

Single, salaried remote worker, 25-40, optimizing for runway + bandwidth.

Best fit
Seattle by 0.7 points
San Francisco3.4/10
Seattle4.1/10

Axes scored: affordability, remoteWork

Family with kids

Couple with school-age children, prioritizing safety, healthcare, and air quality.

Best fit
Seattle by 0.5 points
San Francisco5.5/10
Seattle6.0/10

Axes scored: qualityOfLife, healthcare

Retiree

Fixed income, healthcare-sensitive, prefers low cost and stable infrastructure.

Best fit
Seattle by 0.6 points
San Francisco3.7/10
Seattle4.3/10

Axes scored: healthcare, qualityOfLife, affordability

Cost-conscious mover

Salary stretch matters most. Cuts everything else if it lowers the burn rate.

Best fit
Seattle by 1.0 points
San Francisco0.0/10
Seattle1.0/10

Axes scored: affordability

Profiles use simple axis averaging — for a deeper read with your own weights, use the per-axis breakdown above.

Going deeper

Visa landscape for both countries — and case studies that touch this corridor.

Tools that work for either choice

Some links below are affiliate links — if you sign up we may earn a small commission, at no extra cost to you.

Methodology

How this page is calculated

Data sources

  • Mundevo per-city dataset. Cost basket, rent index, safety, healthcare, air quality and median internet for both cities. Reference date: 2026-05-28 (San Francisco) and 2026-05-28 (Seattle).
  • FX rate. 1 USD = 1.0000 USD, used to normalize cost baskets.
  • CityScoreCalculator. Four axes (Affordability, Quality of life, Remote work, Healthcare) computed with explicit weights and explanations. See per-axis calculation strings rendered on this page.
  • ComparisonService. Per-category cost deltas (housing, food, transport, utilities, leisure, healthcare) normalized to the origin currency.

Update cadence

Data as of . Last reviewed .

Calculation

For each of the four axes we compute an independent 0–10 score using the formulas printed beside each axis. The composite is the unweighted mean of the four axes. The overall winner is the city with the higher composite, unless the margin is under 0.05 points — in which case San Francisco is shown first as a tiebreaker to keep results stable.

Limitations

  • Climate is not scored — we don't yet hold a maintained climate dataset, so weather-driven preferences are not modeled.
  • Tax differences between cities in the same country are not modeled (Spain and Germany don't have material regional differences for this dataset).
  • Indices are population-level. Personal cost varies with neighborhood, employer benefits and family status.
  • Quality-of-life axis weights (safety 0.4 / healthcare 0.35 / air 0.25) are editorial defaults — readers with strong preferences should re-weight manually.

Frequently asked questions

San Francisco vs Seattle: which is cheaper?

Seattle is roughly 14% cheaper than San Francisco on the monthly cost basket (housing, food, transport, utilities, healthcare). San Francisco has cost index 120 vs Seattle at 92 (both with New York = 100).

Which city has better quality of life?

San Francisco scores 4.4/10 on the Mundevo composite versus Seattle at 5.0/10. The composite weights safety (40%), healthcare (35%) and air quality (25%). Seattle wins overall by 0.6 points.

Is San Francisco or Seattle better for remote work?

San Francisco has 280 Mbps median internet vs Seattle at 300 Mbps. The four-axis decision rubric on this page (affordability, quality of life, remote work, healthcare) gives a per-dimension breakdown rather than a single answer.

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