Manila vs San Francisco: cost, size & quality of life compared
Trying to decide between Manila and San Francisco? Here's the honest bottom line first — then the full, sourced breakdown on cost of living, salary, safety and quality of life.
Manila comes out ahead overall — by a narrow edge.
But the "winner" depends on what you care about. Here's who takes each dimension:
Composite scores
Overall: Manila wins by 0.5 points
Population & size
Is Manila bigger than San Francisco?
Manila is the bigger city: about 1.8M people versus San Francisco's 873k — roughly 2.1× larger.
City-proper / metro population estimates. Size is one input — scroll on for cost of living, salary equivalence and quality-of-life scoring.
National income
Is Manila richer than San Francisco?
The two sit on different measures, so we are not ranking them: Philippines is reported as income per capita (GNI, PPP) ($13,330), United States as average annual wage ($82,933). A full-time wage and a whole-population income per head are not the same quantity.
Country-level figures — Manila is not Philippines and San Francisco is not United States, and both cities typically pay above their national average. Gross, before tax: see take-home pay by country for what lands in the account.
Distance
How far is Manila from San Francisco?
Manila is about 11,210 km (6,970 mi) from San Francisco in a straight line — roughly 13 h 55 m of nonstop flight time.
Great-circle distance, not a routed itinerary; flight estimate assumes ~850 km/h cruise plus 45 minutes of taxi, climb and descent.
Climate
Is Manila warmer than San Francisco?
Manila is the warmer city: January highs average 30°C vs 14°C, and July 31°C vs 21°C. San Francisco gets noticeably more sun — about 860 more sunshine hours per year.
| Month | Manila | San Francisco |
|---|---|---|
| January (high / low) | 30° / 22°C | 14° / 8°C |
| July (high / low) | 31° / 25°C | 21° / 13°C |
Tropical monsoon — hot all year, typhoon-season rains Jun-Nov can shut the city down. Dec-Feb is the dry, marginally cooler window.
Famously mild and foggy. Almost no extremes — summers are cool (rarely above 25°C), winters mild and wet. Microclimates within the city vary wildly.
Manila's 5.2 score edges out San Francisco's 4.4, suggesting stronger livability fundamentals despite lower per-capita wealth, likely driven by denser communities and lower cost barriers.
The 0.8-point gap is narrow enough to suggest both cities excel in different dimensions rather than one dominating across all metrics.
If affordability and social density matter more to you than tech infrastructure, Manila deserves serious consideration; if you prioritize innovation ecosystems, San Francisco's gap is small enough to warrant deeper investigation.
Data signals
What separates Manila and San Francisco
How decisive
Manila comes out ahead by 0.5 composite points — a narrow edge.
Biggest difference
The widest gap is affordability, where Manila leads by 7.2 points.
Where they match
They're most evenly matched on remote-work friendliness — within 1.5 points of each other.
Overall cost gap
Total monthly costs in San Francisco run about 386% higher than in Manila.
Where budgets split most
Healthcare is the line item that diverges most: roughly 1121% pricier in San Francisco than Manila.
Size difference
Manila is the larger metro — about 2.1× the population of the other, which shapes commute times, housing supply and how "big-city" daily life feels.
Home internet
San Francisco has the faster typical broadband (280 vs 60 Mbps median) — worth weighing if you work remotely or move large files.
Safety
San Francisco scores higher on safety (45 vs 35 / 100) — a common deciding factor for families.
Score-by-score, side-by-side
Each axis is scored independently with disclosed weights and a calculation string.
The exact scores and winners:
| Axis | Manila | San Francisco | Winner |
|---|---|---|---|
| Affordability | 8.3 | 1.1 | Manila +7.2 |
| Quality of life | 4.3 | 6.0 | San Francisco +1.7 |
| Remote-work friendliness | 5.5 | 7.0 | San Francisco +1.5 |
| Healthcare | 3.8 | 6.0 | San Francisco +2.2 |
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%)20
- Rent index (weight 40%)13
How this is calculated
Affordability = ((100 − costIndex)/100 × 0.6 + (100 − rentIndex)/100 × 0.4) × 10. For Manila: ((100 − 20)/100 × 0.6 + (100 − 13)/100 × 0.4) × 10 = 8.3.
Manila sits well below the New York baseline on both cost-of-living and rent. Budgets stretch further here than in benchmark Tier-1 cities.
Quality of life
- Safety index (weight 40%)35
- Healthcare index (weight 35%)54
- Air quality index (weight 25%)40
How this is calculated
QoL = (safety/100 × 0.4 + healthcare/100 × 0.35 + airQuality/100 × 0.25) × 10. For Manila: (35/100 × 0.4 + 54/100 × 0.35 + 40/100 × 0.25) × 10 = 4.3.
Manila has a mixed quality profile. Safety: fair; healthcare: fair; air: fair. Weigh the weakest axis against your personal priorities.
Remote-work friendliness
- Internet (median Mbps) (weight 45%)60 Mbps
- Effective income tax (lower = better) (weight 30%)12.0%
- Cost-of-living (lower = better) (weight 25%)20
How this is calculated
RemoteWork = (min(Mbps/300, 1) × 0.45 + (1 − incomeTax) × 0.3 + (100 − costIndex)/100 × 0.25) × 10. For Manila: (min(60/300, 1) × 0.45 + (1 − 0.12) × 0.3 + (100 − 20)/100 × 0.25) × 10 = 5.5.
Manila works for remote work but isn't optimized for it: internet 60 Mbps, income tax 12%, cost index 20.
Healthcare
- Healthcare quality index (weight 70%)54
- Healthcare out-of-pocket / month (lower = better) (weight 30%)1728
How this is calculated
Healthcare = (qualityIndex/100 × 0.7 + max(0, 1 − OOP/500) × 0.3) × 10. For Manila: (54/100 × 0.7 + max(0, 1 − 1728/500) × 0.3) × 10 = 3.8.
Manila has trade-offs in healthcare: quality is fair, typical out-of-pocket cost is ~1728 PHP/month. Cross-border insurance closes the gap.
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%)90
- Rent index (weight 40%)87
How this is calculated
Affordability = ((100 − costIndex)/100 × 0.6 + (100 − rentIndex)/100 × 0.4) × 10. For San Francisco: ((100 − 90)/100 × 0.6 + (100 − 87)/100 × 0.4) × 10 = 1.1.
San Francisco 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%)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
- Internet (median Mbps) (weight 45%)280 Mbps
- Effective income tax (lower = better) (weight 30%)16.6%
- Cost-of-living (lower = better) (weight 25%)90
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 − 0.166) × 0.3 + (100 − 90)/100 × 0.25) × 10 = 7.
San Francisco combines fast internet (280 Mbps median), a 17% effective income tax and cost index 90 — a strong configuration for remote workers earning in a stronger currency.
Healthcare
- Healthcare quality index (weight 70%)72
- Healthcare out-of-pocket / month (lower = better) (weight 30%)337
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 − 337/500) × 0.3) × 10 = 6.
San Francisco has trade-offs in healthcare: quality is good, typical out-of-pocket cost is ~337 USD/month. Cross-border insurance closes the gap.
Monthly cost delta: Manila vs San Francisco
Normalized to PHP at 1 USD = 62.6013 PHP.
| Category | Manila | San Francisco | Change |
|---|---|---|---|
| housing | ₱33,243 | $3,798 | +615% |
| food | ₱12,669 | $471 | +133% |
| transport | ₱800 | $90 | +604% |
| utilities | ₱7,544 | $254 | +111% |
| leisure | ₱13,821 | $471 | +113% |
| healthcare | ₱1,728 | $337 | +1121% |
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: San Francisco spends 22.4 percentage points more of its budget on it (70% vs. 48%). If you're sensitive to that category, weight the per-axis scores accordingly.
Buying property
Apartment prices: Manila vs San Francisco
Approximate asking prices in EUR per square meter (as of 2025-01), central vs mid-distance neighborhoods.
Buying in central Manila runs about 67% cheaper per square meter (€4,300/m² vs €13,000/m²).
Midpoints of public listing ranges — a scoping number for rent-vs-buy thinking, not a valuation. Renting comparisons live in the cost table above.
Getting around
Public transport: Manila vs San Francisco
Monthly pass and casual-ride pricing in EUR (as of 2025-01) plus the modes each network runs.
LRT-1/2 + MRT-3 elevated lines beat EDSA traffic when not at crush load; jeepneys and buses fill the grid. Beep card taps across rail lines.
Single ride: €0.48 · Modes: Light rail, Bus
Muni pass + BART; one of the few cities where the cable cars are still everyday transit, not just tourist rides.
Single ride: €2.8 · Modes: Metro, Tram, Bus, Commuter rail, Ferry, Cable car
Salary equivalence: Manila ↔ San Francisco
What earning the same purchasing power costs in each city. Cost-adjusted using the local cost-of-living index (Manila = 20, San Francisco = 90); currency-converted at 1 USD = 62.6013 PHP. Tax differences are not modeled.
| Manila gross | San Francisco equivalent |
|---|---|
| ₱40,000 | $2,875 |
| ₱75,000 | $5,391 |
| ₱120,000 | $8,626 |
| San Francisco gross | Manila equivalent |
|---|---|
| $40,000 | ₱556,456 |
| $75,000 | ₱1,043,356 |
| $120,000 | ₱1,669,369 |
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 Manila
- Wins on affordability (+7.2 points vs San Francisco).
Why pick San Francisco
- Wins on quality of life (+1.7 points vs Manila).
- Wins on remote-work friendliness (+1.5 points vs Manila).
- Wins on healthcare (+2.2 points vs Manila).
Manila trade-offs
- Trails San Francisco on quality of life by 1.7 points.
- Trails San Francisco on remote-work friendliness by 1.5 points.
- Trails San Francisco on healthcare by 2.2 points.
San Francisco trade-offs
- Trails Manila on affordability by 7.2 points.
Remote work logistics
Time zones and language: Manila vs San Francisco
Manila (Asia/Manila) and San Francisco (America/Los_Angeles) sit 16 hours apart in standard time. A 9-to-5 in one overlaps the other's for 0 hours a day — fully asynchronous collaboration. Note: San Francisco observes daylight saving while Manila doesn't, so the gap shifts by an hour part of the year.
Official: Filipino, English · English: Native-equivalent · Local language: Not needed
English is co-official, the language of business, law and education — the Philippines' core BPO advantage. Taglish is the street blend; English alone is fully functional.
Official: English · English: Native-equivalent · Local language: Not needed
English-native. Significant Spanish and Mandarin presence in specific neighborhoods (Mission, Chinatown). English universal.
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 (Manila) and 2026-05-28 (San Francisco).
- FX rate. 1 USD = 62.6013 PHP, 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 Manila 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
Manila vs San Francisco: which is cheaper?
Manila is roughly 386% cheaper than San Francisco on the monthly cost basket (housing, food, transport, utilities, healthcare). Manila has cost index 20 vs San Francisco at 90 (both with New York = 100).
Which city has better quality of life?
Manila scores 5.5/10 on the Mundevo composite versus San Francisco at 5.0/10. The composite weights safety (40%), healthcare (35%) and air quality (25%). Manila wins overall by 0.5 points.
Is Manila or San Francisco better for remote work?
Manila has 60 Mbps median internet vs San Francisco at 280 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.
Is Manila bigger than San Francisco?
Manila is larger — about 1.8M people versus San Francisco's 873k, roughly 2.1× the size.
Is Manila safer than San Francisco?
San Francisco scores higher on safety — 45 vs 35 / 100 on the Mundevo safety index (crime and personal-security signals).
Should I move to Manila or San Francisco?
It depends on what you weight. Manila wins the overall Mundevo composite by 0.5 points, but Manila is cheaper, and the two split differently across affordability, quality of life, remote work and healthcare. Use the per-axis table and the reader-profile section above to match the verdict to your own priorities.