VacationSelector

Stuttgart or Valletta?

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

Your match

Stuttgart
51
match

Wins on nature & day trips and nightlife with your weighting.

Valletta
✓ Best match
60
match

Wins on beaches & swimming and sights concentration 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.

StuttgartValletta
Beaches & swimming. Valletta leads by 77 points.77
StuttgartValletta
Score077
Swim season months06
Beaches 10 km322
Coast distance476 km0 km
Water distance0 km
Places to eat. Stuttgart leads by 1 points.1
StuttgartValletta
Score5958
Restaurants within 2 km of centre575416
Effective number of cuisines within 2 km2935
Museums & heritage. Valletta leads by 5 points.5
StuttgartValletta
Score5661
Museums within 10 km6546
Museums within 2 km of centre2129
Share of museums within 2 km %3263
Unesco sites within 50 km33
Nightlife. Stuttgart leads by 2 points.2
StuttgartValletta
Score4947
Drinking venues within 4 km524522
Drinking venues within 2 km of centre374250
Share of drinking venues within 2 km %7148
Nightclubs within 4 km5327
Nature & day trips. Stuttgart leads by 34 points.34
StuttgartValletta
Score8046
Protected land share 50 km %51
Landscape blanket share 50 km %310
Land share of disc %1006
Park area within 2 km78 hectares24 hectares
Good for families. Valletta leads by 1 points.1
StuttgartValletta
Score4546
Tourist attractions within 2 km1132
Park area within 2 km78 hectares24 hectares
Theme parks within 30 km21
Sights concentration. Valletta leads by 17 points.17
StuttgartValletta
Score4461
Notable places within 2 km50133
Min wikipedia languages55
Value for money. Valletta leads by 9 points.9
StuttgartValletta
Score6069
Price level global75.962.8
Daily budget€163€129
Year-round weather. Valletta leads by 16 points.16
StuttgartValletta
Score6379
Monthly daytime high5.6 °C to 25.9 °C15.7 °C to 31.9 °C
Monthly rainfall33 mm to 79 mm0 mm to 90 mm
Dry months36
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
Stuttgart
6
7
12
16
21
24
26
26
21
16
10
6
Valletta
16
16
17
20
24
29
32
32
29
25
21
17
Sea temperature, °C
Stuttgart
No coastline within reach
Valletta
16
15
15
16
19
22
25
27
26
24
21
18
Rainfall, mm
Stuttgart
35
33
43
37
72
77
79
63
49
55
50
50
Valletta
80
72
39
19
10
5
0
10
63
74
90
85
Daylight, hours per day
Stuttgart
9
10
12
14
15
16
16
14
13
11
9
8
Valletta
10
11
12
13
14
15
14
14
12
11
10
10
Sunshine, hours per day
Stuttgart
2
3
5
6
7
7
8
7
6
4
2
2
Valletta
6
6
7
8
10
11
12
11
8
7
6
5

Temperature and rainfall are thirty-year climate normals, averaged over the years shown. Stuttgart: 1991-2020 normals, Stuttgart / Neckartal (2.8 km from centre). Valletta: 1991-2020 normals, Luqa (5.9 km from centre).

WorseBetter

Getting there

Flying fromStuttgartValletta
LondonLHR, LGW, STN, LTN +2
1 h 35 m
no fares
STR · 10 km
3 h 10 m
€91-131
1 stop
MLA · 6 km
IstanbulIST, SAW
2 h 40 m
€139-291
STR · 10 km
2 h 15 m
€177-222
MLA · 6 km
RomeFCO, CIA
1 h 35 m
no fares
STR · 10 km
1 h 30 m
€37-71
MLA · 6 km
PalmaPMI
2 h 0 m
no fares
STR · 10 km
2 h 0 m
no fares
MLA · 6 km
FrankfurtFRA, HHN
50 m
no fares
STR · 10 km
2 h 35 m
no fares
MLA · 6 km
BarcelonaBCN
1 h 50 m
€111-165
STR · 10 km
2 h 5 m
€56-95
MLA · 6 km
MunichMUC
55 m
no fares
STR · 10 km
2 h 20 m
€165-259
MLA · 6 km
ViennaVIE
1 h 20 m
€174-248
STR · 10 km
2 h 15 m
€111-180
1 stop
MLA · 6 km
DubaiDXB, DWC
6 h 20 m
€296-339
1 stop
FRA · 146 km
5 h 25 m
no fares
MLA · 6 km
New YorkJFK, EWR, LGA
7 h 55 m
€537-713
FRA · 146 km
9 h 20 m
no fares
MLA · 6 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 2026-08 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

MeasureStuttgartValletta
Official languageGermanEnglish, Maltese
CurrencyEuro (EUR)Euro (EUR)
SocketsCF230 V, 50 HzG230 V, 50 Hz
Driving sideRightLeft
Time zoneUTC+1, UTC+2 in summerUTC+1, UTC+2 in summer
Emergency number112112
Elevation245 m56 m
Main airportStuttgart Airport (STR)10 km from centre121 non-stop destinationsMalta International Airport (MLA)6 km from centre109 non-stop destinations
Public holidays this year12 days14 days

By the numbers

MeasureStuttgartValletta
City population633,4846,444
People per km²3,0548,055
Museums within 10 km4215
UNESCO World Heritage sites within 50 km33
Distinct cuisines in the centre5955
Swim season, months above 21 °C6 months

Where else could you go?

Every comparison below shares a destination with this one, so you can follow Stuttgart or Valletta 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. Airport data from OurAirports (public domain). Tourism statistics from Eurostat, © European Union, reused under CC BY 4.0. Public holidays from Nager.Date (MIT). 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. Sea surface temperature from NOAA OISST v2.1, NOAA Physical Sciences Laboratory. 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. Exchange rates via Frankfurter, based on European Central Bank reference rates.

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.