Mundevo
City comparison·Germany flagHamburgvsPhilippines flagManila

Hamburg vs Manila: cost, size & quality of life compared

Trying to decide between Hamburg and Manila? Here's the honest bottom line first — then the full, sourced breakdown on cost of living, salary, safety and quality of life.

The bottom line

Hamburg comes out ahead overall — by a clear margin.

But the "winner" depends on what you care about. Here's who takes each dimension:

Overall
Hamburg flagHamburg
Cheaper
Manila flagManila
Quality of life
Hamburg flagHamburg
Remote work
Hamburg flagHamburg

Composite scores

Overall: Hamburg wins by 1.1 points

Hamburg composite
6.3 / 10
good
Manila composite
5.2 / 10
fair

Population & size

Is Hamburg bigger than Manila?

Hamburg and Manila are roughly the same size — about 1.9M and 1.8M people respectively.

Hamburg population
1.9M
1,850,000
Manila population
1.8M
1,800,000

City-proper / metro population estimates. Size is one input — scroll on for cost of living, salary equivalence and quality-of-life scoring.

Distance

How far is Hamburg from Manila?

Hamburg is about 10,030 km (6,230 mi) from Manila in a straight line — roughly 12 h 35 m of nonstop flight time.

Straight-line
10,030 km
In miles
6,230 mi
Nonstop flight (est.)
12 h 35 m

Great-circle distance, not a routed itinerary; flight estimate assumes ~850 km/h cruise plus 45 minutes of taxi, climb and descent.

Climate

Is Hamburg warmer than Manila?

Manila is the warmer city: January highs average 30°C vs 4°C, and July 31°C vs 22°C. Manila gets noticeably more sun — about 544 more sunshine hours per year.

Sunshine hours / year
Hamburg
1,556
Manila
2,100
Rainfall (mm / year) — drier leads
Hamburg
770 mm
Manila
2,050 mm
MonthHamburgManila
January (high / low)4° / -1°C30° / 22°C
July (high / low)22° / 13°C31° / 25°C
Hamburg

North Sea maritime climate. Cool summers, mild damp winters, persistent overcast — one of Germany's grayest cities.

Manila

Tropical monsoon — hot all year, typhoon-season rains Jun-Nov can shut the city down. Dec-Feb is the dry, marginally cooler window.

Analyst take

Hamburg edges out Manila on the Mundevo composite, 6.3 to 5.2 out of 10 — a decisive 1.1-point margin across safety, healthcare, air quality and cost.

A 1.1-point composite gap is large enough that the result holds across most reasonable axis re-weightings. Still worth scanning the per-axis breakdown if you have a non-default priority (e.g. air quality matters more to you than the default 25% weight).

What to do

Run the salary calculator for both cities at your target lifestyle before deciding — Hamburg winning on quality doesn't mean the gross-salary requirement also lands in your favor. If you're on a balanced tier, the cost-of-living pages for each city carry the full monthly basket and the gross-salary figure.

Data signals

What separates Hamburg and Manila

  • How decisive

    Hamburg comes out ahead by 1.1 composite points — a clear edge.

  • Biggest difference

    The widest gap is healthcare, where Hamburg leads by 4.9 points.

  • Where they match

    They're most evenly matched on remote-work friendliness — within 0.8 points of each other.

  • Overall cost gap

    Total monthly costs in Manila run about 68% lower than in Hamburg.

  • Where budgets split most

    Housing is the line item that diverges most: roughly 78% cheaper in Manila than Hamburg.

  • Home internet

    Hamburg has the faster typical broadband (200 vs 60 Mbps median) — worth weighing if you work remotely or move large files.

  • Safety

    Hamburg scores higher on safety (65 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.

Affordability
Hamburg
3.1/10
Manila
7.4/10
Quality of life
Hamburg
7.2/10
Manila
4.3/10
Remote-work friendliness
Hamburg
6.0/10
Manila
5.2/10
Healthcare
Hamburg
8.7/10
Manila
3.8/10

The exact scores and winners:

AxisHamburgManilaWinner
Affordability3.17.4Manila +4.3
Quality of life7.24.3Hamburg +2.9
Remote-work friendliness6.05.2Hamburg +0.8
Healthcare8.73.8Hamburg +4.9
Score card · Hamburg
6.3/ 10 compositegood

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

3.1poor
  • Cost-of-living index (weight 60%)75
  • Rent index (weight 40%)60
How this is calculated

Affordability = ((100 − costIndex)/100 × 0.6 + (100 − rentIndex)/100 × 0.4) × 10. For Hamburg: ((100 − 75)/100 × 0.6 + (100 − 60)/100 × 0.4) × 10 = 3.1.

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

Quality of life

7.2good
  • Safety index (weight 40%)65
  • Healthcare index (weight 35%)82
  • 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 Hamburg: (65/100 × 0.4 + 82/100 × 0.35 + 68/100 × 0.25) × 10 = 7.2.

Hamburg scores good on safety, excellent on healthcare and good on air. The composite quality-of-life signal is strong.

Remote-work friendliness

6.0good
  • Internet (median Mbps) (weight 45%)200 Mbps
  • Effective income tax (lower = better) (weight 30%)22.0%
  • Cost-of-living (lower = better) (weight 25%)75
How this is calculated

RemoteWork = (min(Mbps/300, 1) × 0.45 + (1 − incomeTax) × 0.3 + (100 − costIndex)/100 × 0.25) × 10. For Hamburg: (min(200/300, 1) × 0.45 + (1 − 0.22) × 0.3 + (100 − 75)/100 × 0.25) × 10 = 6.

Hamburg works for remote work but isn't optimized for it: internet 200 Mbps, income tax 22%, cost index 75.

Healthcare

8.7excellent
  • Healthcare quality index (weight 70%)82
  • Healthcare out-of-pocket / month (lower = better) (weight 30%)0
How this is calculated

Healthcare = (qualityIndex/100 × 0.7 + max(0, 1 − OOP/500) × 0.3) × 10. For Hamburg: (82/100 × 0.7 + max(0, 1 − 0/500) × 0.3) × 10 = 8.7.

Hamburg combines excellent system quality with a manageable out-of-pocket cost (~0 EUR/month). Travel insurance still recommended for non-residents.

Score card · Manila
5.2/ 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

7.4good
  • Cost-of-living index (weight 60%)34
  • Rent index (weight 40%)15
How this is calculated

Affordability = ((100 − costIndex)/100 × 0.6 + (100 − rentIndex)/100 × 0.4) × 10. For Manila: ((100 − 34)/100 × 0.6 + (100 − 15)/100 × 0.4) × 10 = 7.4.

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

4.3fair
  • 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

5.2fair
  • Internet (median Mbps) (weight 45%)60 Mbps
  • Effective income tax (lower = better) (weight 30%)12.0%
  • Cost-of-living (lower = better) (weight 25%)34
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 − 34)/100 × 0.25) × 10 = 5.2.

Manila works for remote work but isn't optimized for it: internet 60 Mbps, income tax 12%, cost index 34.

Healthcare

3.8poor
  • Healthcare quality index (weight 70%)54
  • Healthcare out-of-pocket / month (lower = better) (weight 30%)1500
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 − 1500/500) × 0.3) × 10 = 3.8.

Manila has trade-offs in healthcare: quality is fair, typical out-of-pocket cost is ~1500 PHP/month. Cross-border insurance closes the gap.

Monthly cost delta: Hamburg vs Manila

Normalized to EUR at 1 PHP = 0.0161 EUR.

CategoryHamburgManilaChange
housing€1,600₱22,000-78%
food€400₱11,000-56%
transport€65₱1,200-70%
utilities€240₱5,500-63%
leisure€400₱12,000-52%
healthcare€0₱1,500+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.

Hamburg59% housing
Manila41% housing
housing
food
transport
utilities
leisure
healthcare

The biggest shape difference is housing: Hamburg spends 17.8 percentage points more of its budget on it (59% vs. 41%). If you're sensitive to that category, weight the per-axis scores accordingly.

Buying property

Apartment prices: Hamburg vs Manila

Approximate asking prices in EUR per square meter (as of 2025-01), central vs mid-distance neighborhoods.

Buying in central Manila runs about 39% cheaper per square meter (€4,300/m² vs €7,000/m²).

City center — cheaper leads
Hamburg
€7,000/m²
Manila
€4,300/m²
Outside center (5-15 km) — cheaper leads
Hamburg
€4,500/m²
Manila
€2,500/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: Hamburg vs Manila

Monthly pass and casual-ride pricing in EUR (as of 2025-01) plus the modes each network runs.

Monthly pass — cheaper leads
Hamburg
€62
Manila
€12.9
Hamburg

HVV zone-AB; Hamburg's harbor ferry network is integrated with the pass, unusual for a German city.

Day pass: €8.6 · Modes: Metro, Bus, Commuter rail, Ferry

Manila

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

Salary equivalence: Hamburg ↔ Manila

What earning the same purchasing power costs in each city. Cost-adjusted using the local cost-of-living index (Hamburg = 75, Manila = 34); currency-converted at 1 PHP = 0.0161 EUR. Tax differences are not modeled.

Earning in Hamburg, moving to Manila
EUR → equivalent PHP
Hamburg grossManila equivalent
€40,000₱1,124,267
€75,000₱2,108,000
€120,000₱3,372,800
Earning in Manila, moving to Hamburg
PHP → equivalent EUR
Manila grossHamburg equivalent
₱40,000€1,423
₱75,000€2,668
₱120,000€4,269

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 Hamburg

  • Wins on quality of life (+2.9 points vs Manila).
  • Wins on remote-work friendliness (+0.8 points vs Manila).
  • Wins on healthcare (+4.9 points vs Manila).

Why pick Manila

  • Wins on affordability (+4.3 points vs Hamburg).

Hamburg trade-offs

  • Trails Manila on affordability by 4.3 points.

Manila trade-offs

  • Trails Hamburg on quality of life by 2.9 points.
  • Trails Hamburg on remote-work friendliness by 0.8 points.
  • Trails Hamburg on healthcare by 4.9 points.

Remote work logistics

Time zones and language: Hamburg vs Manila

Hamburg (Europe/Berlin) and Manila (Asia/Manila) sit 7 hours apart in standard time. A 9-to-5 in one overlaps the other's for 1 hour a day. Note: Hamburg observes daylight saving while Manila doesn't, so the gap shifts by an hour part of the year.

Hamburg

Official: German · English: Moderate · Local language: Useful

Similar to Munich — German is the working norm. International firms and the port/shipping sector use English; outside those, German is expected.

Manila

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.

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
Manila by 1.8 points
Hamburg4.5/10
Manila6.3/10

Axes scored: affordability, remoteWork

Family with kids

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

Best fit
Hamburg by 3.9 points
Hamburg7.9/10
Manila4.0/10

Axes scored: qualityOfLife, healthcare

Retiree

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

Best fit
Hamburg by 1.2 points
Hamburg6.3/10
Manila5.2/10

Axes scored: healthcare, qualityOfLife, affordability

Cost-conscious mover

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

Best fit
Manila by 4.3 points
Hamburg3.1/10
Manila7.4/10

Axes scored: affordability

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

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 (Hamburg) and 2026-06-10 (Manila).
  • FX rate. 1 PHP = 0.0161 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 Hamburg 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

Hamburg vs Manila: which is cheaper?

Manila is roughly 68% cheaper than Hamburg on the monthly cost basket (housing, food, transport, utilities, healthcare). Hamburg has cost index 75 vs Manila at 34 (both with New York = 100).

Which city has better quality of life?

Hamburg scores 6.3/10 on the Mundevo composite versus Manila at 5.2/10. The composite weights safety (40%), healthcare (35%) and air quality (25%). Hamburg wins overall by 1.1 points.

Is Hamburg or Manila better for remote work?

Hamburg has 200 Mbps median internet vs Manila at 60 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 Hamburg bigger than Manila?

Hamburg and Manila are similar in size — about 1.9M and 1.8M people respectively.

Is Hamburg safer than Manila?

Hamburg scores higher on safety — 65 vs 35 / 100 on the Mundevo safety index (crime and personal-security signals).

Should I move to Hamburg or Manila?

It depends on what you weight. Hamburg wins the overall Mundevo composite by 1.1 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.