Florencevs
MadridFlorence vs Madrid: cost, size & quality of life compared
Florence (composite 6.1) vs Madrid (composite 6.6). Side-by-side on cost of living, population & size, affordability, quality of life, remote-work friendliness and healthcare — with the calculation behind each score.
Composite scores
Overall: Madrid wins by 0.5 points
Population & size
Is Florence bigger than Madrid?
Madrid is the bigger city: about 3.3M people versus Florence's 380k — roughly 8.7× larger.
City-proper / metro population estimates. Size is one input — scroll on for cost of living, salary equivalence and quality-of-life scoring.
Madrid edges Florence by just 0.5 points (6.6 vs 6.1), suggesting both cities deliver similarly on core livability metrics despite vastly different scales and histories.
Madrid's modest lead reflects its larger job market and transit infrastructure advantage, while Florence's score reflects constraints from tourism density and limited modern amenities.
If you prioritize cultural heritage and walkability, Florence justifies its lower score; if you need employment opportunities and diverse neighborhoods, Madrid's edge becomes meaningful.
Data signals
What separates Florence and Madrid
How decisive
Madrid comes out ahead by 0.5 composite points — a narrow edge.
Biggest difference
The widest gap is remote-work friendliness, where Madrid leads by 0.8 points.
Where they match
They're most evenly matched on affordability — within 0.1 points of each other.
Overall cost gap
Total monthly costs in Madrid run about 6% higher than in Florence.
Where budgets split most
Transport is the line item that diverges most: roughly 71% pricier in Madrid than Florence.
Score-by-score, side-by-side
Each axis is scored independently with disclosed weights and a calculation string.
| Axis | Florence | Madrid | Winner |
|---|---|---|---|
| Affordability | 4.5 | 4.4 | Florence +0.1 |
| Quality of life | 6.4 | 7.1 | Madrid +0.7 |
| Remote-work friendliness | 5.8 | 6.6 | Madrid +0.8 |
| Healthcare | 7.6 | 8.1 | Madrid +0.5 |
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
- Cost-of-living index (weight 60%)66
- Rent index (weight 40%)38
How this is calculated
Affordability = ((100 − costIndex)/100 × 0.6 + (100 − rentIndex)/100 × 0.4) × 10. For Florence: ((100 − 66)/100 × 0.6 + (100 − 38)/100 × 0.4) × 10 = 4.5.
Florence is among the more expensive cities tracked. Salary expectations should be calibrated to the high cost base before relocating.
Quality of life
- Safety index (weight 40%)58
- Healthcare index (weight 35%)72
- Air quality index (weight 25%)62
How this is calculated
QoL = (safety/100 × 0.4 + healthcare/100 × 0.35 + airQuality/100 × 0.25) × 10. For Florence: (58/100 × 0.4 + 72/100 × 0.35 + 62/100 × 0.25) × 10 = 6.4.
Florence has a mixed quality profile. Safety: good; healthcare: good; air: good. Weigh the weakest axis against your personal priorities.
Remote-work friendliness
- Internet (median Mbps) (weight 45%)180 Mbps
- Effective income tax (lower = better) (weight 30%)25.0%
- Cost-of-living (lower = better) (weight 25%)66
How this is calculated
RemoteWork = (min(Mbps/300, 1) × 0.45 + (1 − incomeTax) × 0.3 + (100 − costIndex)/100 × 0.25) × 10. For Florence: (min(180/300, 1) × 0.45 + (1 − 0.25) × 0.3 + (100 − 66)/100 × 0.25) × 10 = 5.8.
Florence works for remote work but isn't optimized for it: internet 180 Mbps, income tax 25%, cost index 66.
Healthcare
- Healthcare quality index (weight 70%)72
- Healthcare out-of-pocket / month (lower = better) (weight 30%)80
How this is calculated
Healthcare = (qualityIndex/100 × 0.7 + max(0, 1 − OOP/500) × 0.3) × 10. For Florence: (72/100 × 0.7 + max(0, 1 − 80/500) × 0.3) × 10 = 7.6.
Florence combines good system quality with a manageable out-of-pocket cost (~80 EUR/month). Travel insurance still recommended for non-residents.
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
- Cost-of-living index (weight 60%)65
- Rent index (weight 40%)42
How this is calculated
Affordability = ((100 − costIndex)/100 × 0.6 + (100 − rentIndex)/100 × 0.4) × 10. For Madrid: ((100 − 65)/100 × 0.6 + (100 − 42)/100 × 0.4) × 10 = 4.4.
Madrid is among the more expensive cities tracked. Salary expectations should be calibrated to the high cost base before relocating.
Quality of life
- Safety index (weight 40%)70
- Healthcare index (weight 35%)80
- Air quality index (weight 25%)60
How this is calculated
QoL = (safety/100 × 0.4 + healthcare/100 × 0.35 + airQuality/100 × 0.25) × 10. For Madrid: (70/100 × 0.4 + 80/100 × 0.35 + 60/100 × 0.25) × 10 = 7.1.
Madrid scores good on safety, excellent on healthcare and good on air. The composite quality-of-life signal is strong.
Remote-work friendliness
- Internet (median Mbps) (weight 45%)220 Mbps
- Effective income tax (lower = better) (weight 30%)18.0%
- Cost-of-living (lower = better) (weight 25%)65
How this is calculated
RemoteWork = (min(Mbps/300, 1) × 0.45 + (1 − incomeTax) × 0.3 + (100 − costIndex)/100 × 0.25) × 10. For Madrid: (min(220/300, 1) × 0.45 + (1 − 0.18) × 0.3 + (100 − 65)/100 × 0.25) × 10 = 6.6.
Madrid works for remote work but isn't optimized for it: internet 220 Mbps, income tax 18%, cost index 65.
Healthcare
- Healthcare quality index (weight 70%)80
- Healthcare out-of-pocket / month (lower = better) (weight 30%)80
How this is calculated
Healthcare = (qualityIndex/100 × 0.7 + max(0, 1 − OOP/500) × 0.3) × 10. For Madrid: (80/100 × 0.7 + max(0, 1 − 80/500) × 0.3) × 10 = 8.1.
Madrid combines excellent system quality with a manageable out-of-pocket cost (~80 EUR/month). Travel insurance still recommended for non-residents.
Monthly cost delta: Florence vs Madrid
Normalized to EUR at 1 EUR = 1.0000 EUR.
| Category | Florence | Madrid | Change |
|---|---|---|---|
| housing | €1,000 | €1,200 | +20% |
| food | €370 | €350 | -5% |
| transport | €35 | €60 | +71% |
| utilities | €190 | €130 | -32% |
| leisure | €380 | €350 | -8% |
| healthcare | €80 | €80 | +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.
The biggest shape difference is housing: Madrid spends 6.6 percentage points more of its budget on it (55% vs. 49%). If you're sensitive to that category, weight the per-axis scores accordingly.
Salary equivalence: Florence ↔ Madrid
What earning the same purchasing power costs in each city. Cost-adjusted using the local cost-of-living index (Florence = 66, Madrid = 65); currency-converted at 1 EUR = 1.0000 EUR. Tax differences are not modeled.
| Florence gross | Madrid equivalent |
|---|---|
| €40,000 | €39,394 |
| €75,000 | €73,864 |
| €120,000 | €118,182 |
| Madrid gross | Florence equivalent |
|---|---|
| €40,000 | €40,615 |
| €75,000 | €76,154 |
| €120,000 | €121,846 |
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 Florence
Florence doesn't have any standout advantages of ≥0.3 points on the scoring model.
Why pick Madrid
- Wins on quality of life (+0.7 points vs Florence).
- Wins on remote-work friendliness (+0.8 points vs Florence).
- Wins on healthcare (+0.5 points vs Florence).
Florence trade-offs
- Trails Madrid on quality of life by 0.7 points.
- Trails Madrid on remote-work friendliness by 0.8 points.
- Trails Madrid on healthcare by 0.5 points.
Madrid trade-offs
No material trade-offs versus Florence 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.
Single, salaried remote worker, 25-40, optimizing for runway + bandwidth.
Axes scored: affordability, remoteWork
Couple with school-age children, prioritizing safety, healthcare, and air quality.
Axes scored: qualityOfLife, healthcare
Fixed income, healthcare-sensitive, prefers low cost and stable infrastructure.
Axes scored: healthcare, qualityOfLife, affordability
Salary stretch matters most. Cuts everything else if it lowers the burn rate.
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.
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: 2026-06-10 (Florence) and 2026-05-23 (Madrid).
- FX rate. 1 EUR = 1.0000 EUR, 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 Florence 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
Florence vs Madrid: which is cheaper?
Florence is roughly 6% cheaper than Madrid on the monthly cost basket (housing, food, transport, utilities, healthcare). Florence has cost index 66 vs Madrid at 65 (both with New York = 100).
Which city has better quality of life?
Florence scores 6.1/10 on the Mundevo composite versus Madrid at 6.6/10. The composite weights safety (40%), healthcare (35%) and air quality (25%). Madrid wins overall by 0.5 points.
Is Florence or Madrid better for remote work?
Florence has 180 Mbps median internet vs Madrid at 220 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.