VacationSelector

Manila or Stuttgart?

Two destinations compared on nine measures of openly sourced data. Weight what matters to you and the verdict follows.

Your match

Manila
✓ Best match
60
match

Wins on beaches & swimming and value for money with your weighting.

Stuttgart
51
match

Wins on nature & day trips and museums & heritage with your weighting.

What matters to you?

Pick a travel style or drag the sliders. The match scores above update as you do.

Scoreboard

Each measure scored 0 to 100. Open a row for the figures behind the score.

ManilaStuttgart
Beaches & swimming. Manila leads by 76 points.76
ManilaStuttgart
Score760
Swim season months120
Beaches 10 km33
Coast distance2 km476 km
Water distance2 km
Places to eat. Stuttgart leads by 1 points.1
ManilaStuttgart
Score5859
Restaurants within 2 km of centre1,015575
Effective number of cuisines within 2 km1729
Museums & heritage. Stuttgart leads by 6 points.6
ManilaStuttgart
Score5056
Museums within 10 km7765
Museums within 2 km of centre2321
Share of museums within 2 km %3032
Unesco sites within 50 km13
Nightlife. Manila leads by 12 points.12
ManilaStuttgart
Score6149
Drinking venues within 4 km1,082524
Drinking venues within 2 km of centre374374
Share of drinking venues within 2 km %3571
Nightclubs within 4 km3653
Nature & day trips. Stuttgart leads by 51 points.51
ManilaStuttgart
Score2980
Protected land share 50 km %451
Landscape blanket share 50 km %031
Land share of disc %78100
Park area within 2 km54 hectares78 hectares
Good for families. Manila leads by 15 points.15
ManilaStuttgart
Score6045
Tourist attractions within 2 km3711
Park area within 2 km54 hectares78 hectares
Theme parks within 30 km32
Sights concentration. Manila leads by 8 points.8
ManilaStuttgart
Score5244
Notable places within 2 km7950
Min wikipedia languages55
Value for money. Manila leads by 30 points.30
ManilaStuttgart
Score9060
Price level global33.775.9
Daily budget€163
Year-round weather. Stuttgart leads by 2 points.2
ManilaStuttgart
Score6163
Monthly daytime high30.5 °C to 34.6 °C5.6 °C to 25.9 °C
Monthly rainfall24 mm to 564 mm33 mm to 79 mm
Dry months43
0255075100

When should you go?

The figures behind each month. Each row is shaded against that destination's own year, so the deepest cell is its best month for that measure and the palest its weakest. Shades are not comparable between the two rows.

J
F
M
A
M
J
J
A
S
O
N
D
Daytime high, °C
Manila
31
31
33
35
34
33
32
31
31
32
31
31
Stuttgart
6
7
12
16
21
24
26
26
21
16
10
6
Sea temperature, °C
Manila
27
27
28
29
30
30
29
29
29
29
28
28
Stuttgart
No coastline within reach
Rainfall, mm
Manila
26
24
40
36
220
314
487
564
509
297
152
109
Stuttgart
35
33
43
37
72
77
79
63
49
55
50
50
Daylight, hours per day
Manila
11
12
12
13
13
13
13
13
12
12
12
11
Stuttgart
9
10
12
14
15
16
16
14
13
11
9
8
Sunshine, hours per day
Manila
No sunshine record
Stuttgart
2
3
5
6
7
7
8
7
6
4
2
2

Temperature and rainfall are thirty-year climate normals, averaged over the years shown. Manila: 1991-2020 normals, Science Garden (6 km from centre). Stuttgart: 1991-2020 normals, Stuttgart / Neckartal (2.8 km from centre).

WorseBetter

Getting there

Flying fromManilaStuttgart
SingaporeSIN, XSP
3 h 30 m
€154-174
MNL · 11 km
12 h 45 m
no fares
FRA · 146 km
IstanbulIST, SAW
11 h 25 m
no fares
MNL · 11 km
2 h 40 m
€139-291
STR · 10 km
TokyoHND, NRT
4 h 10 m
€304-317
MNL · 11 km
11 h 40 m
no fares
FRA · 146 km
SeoulICN, GMP
3 h 45 m
€191-223
MNL · 11 km
10 h 45 m
€490-632
1 stop
FRA · 146 km
Hong KongHKG
2 h 0 m
€128-135
MNL · 11 km
11 h 25 m
no fares
FRA · 146 km
BangkokBKK, DMK
3 h 15 m
€205-213
MNL · 11 km
11 h 15 m
€570-612
1 stop
FRA · 146 km
HanoiHAN
2 h 45 m
€182-214
1 stop
MNL · 11 km
10 h 55 m
no fares
FRA · 146 km
Ho Chi Minh CitySGN
2 h 35 m
€142-175
MNL · 11 km
12 h 0 m
no fares
FRA · 146 km
RiyadhRUH
9 h 50 m
€435-460
1 stop
MNL · 11 km
5 h 45 m
no fares
FRA · 146 km
San FranciscoSFO
13 h 55 m
€628-629
1 stop
MNL · 11 km
11 h 25 m
€628-763
1 stop
FRA · 146 km

The busiest departure cities for these two, with a place kept for each other part of the world. Busiest means arriving passengers where an official count exists, and where none does, the number of non-stop services flown: official route statistics are published by the European reporting countries and by nobody else, so a table ranked on them alone would offer a reader in New York or Tokyo ten European cities. Flying times are estimated from the distance between airports, and every row is a city flown non-stop to both. Where the typical offer connects anyway, the stops are shown. Under each figure is the airport the flight lands at and how far that is from the centre, because the nearest airport is not always the one a route is flown to. Where both columns name the same airport it is one flight, and the difference between the two is the distance printed beside it. Typical return fares for 2026-09 to 2026-10, cached market data up to 7 days old. The figure is the middle half of the offers found, so a single price means they agreed and a range means they did not; for a typical route that middle half spans about a quarter of the median, and for the least settled routes rather more than the median itself.

Before you go

MeasureManilaStuttgart
Official languageEnglish, Filipino, TaglishGerman
CurrencyPhilippine Peso (PHP)Euro (EUR)
SocketsABC220 V, 60 HzCF230 V, 50 Hz
Driving sideRightRight
Time zoneUTC+8UTC+1, UTC+2 in summer
Emergency number911112
Elevation9 m245 m
Main airportNinoy Aquino International Airport (MNL)11 km from centre88 non-stop destinationsStuttgart Airport (STR)10 km from centre121 non-stop destinations
Public holidays this year18 days12 days

By the numbers

MeasureManilaStuttgart
City population1,902,590633,484
People per km²76,1043,054
Museums within 10 km2742
UNESCO World Heritage sites within 50 km13
Distinct cuisines in the centre3959
Swim season, months above 21 °C12 months

Where else could you go?

Every comparison below shares a destination with this one, so you can follow Manila or Stuttgart somewhere new.

Browse every destination we have measured

Sources

© OpenStreetMap contributors, data available under the Open Database Licence. Place counts include data from Overture Maps Foundation (CDLA Permissive 2.0), assembled from Meta, Microsoft, Foursquare and other providers. Notable-place counts from Wikidata (CC0), weighted by Wikipedia language editions. Structured data from Wikidata (CC0). Weather data by Meteostat. Meteorological data provided by NOAA, DWD and others. Sea surface temperature from NOAA OISST v2.1, NOAA Physical Sciences Laboratory. Airport data from OurAirports (public domain). Public holidays from Nager.Date (MIT). Exchange rates via Frankfurter, based on European Central Bank reference rates. Non-stop route lists from the "Airlines and destinations" tables on English Wikipedia airport articles, by Wikipedia contributors, reused under CC BY-SA 4.0. Currency from the ISO 4217 register maintained by SIX, cross-checked against country data from GeoNames (CC BY 4.0). Price level from World Bank open data (PPP conversion factor for private consumption and official exchange rate), CC BY 4.0. Time zones from GeoNames (CC BY 4.0); clock offsets computed from the IANA time zone database. Tourism statistics from Eurostat, © European Union, reused under CC BY 4.0. Daylight hours computed from each destination's latitude using the NOAA solar position algorithm. Typical fares from Travelpayouts (Aviasales data). Route-level air passenger statistics from Eurostat, © European Union, reused under CC BY 4.0.

Scores follow rubric v2; snapshot generated 2026-08-31. Typical prices can be up to 7 days old. Daily budgets are estimates from country price levels.