VacationSelector

Lima or Stuttgart?

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

Your match

Lima
✓ Best match
55
match

Wins on beaches & swimming and year-round weather with your weighting.

Stuttgart
51
match

Wins on nature & day trips and places to eat 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.

LimaStuttgart
Beaches & swimming. Lima leads by 37 points.37
LimaStuttgart
Score370
Swim season months20
Beaches 10 km123
Coast distance6 km476 km
Water distance6 km
Places to eat. Stuttgart leads by 7 points.7
LimaStuttgart
Score5259
Restaurants within 2 km of centre796575
Effective number of cuisines within 2 km1429
Museums & heritage. Lima leads by 8 points.8
LimaStuttgart
Score6456
Museums within 10 km8965
Museums within 2 km of centre4721
Share of museums within 2 km %5332
Unesco sites within 50 km23
Nightlife. Stuttgart leads by 4 points.4
LimaStuttgart
Score4549
Drinking venues within 4 km409524
Drinking venues within 2 km of centre177374
Share of drinking venues within 2 km %4371
Nightclubs within 4 km6353
Nature & day trips. Stuttgart leads by 53 points.53
LimaStuttgart
Score2780
Protected land share 50 km %251
Landscape blanket share 50 km %031
Land share of disc %51100
Park area within 2 km54 hectares78 hectares
Good for families. Lima leads by 11 points.11
LimaStuttgart
Score5645
Tourist attractions within 2 km2511
Park area within 2 km54 hectares78 hectares
Theme parks within 30 km42
Sights concentration. Lima leads by 2 points.2
LimaStuttgart
Score4644
Notable places within 2 km5450
Min wikipedia languages55
Value for money. Lima leads by 20 points.20
LimaStuttgart
Score8060
Price level global47.775.9
Daily budget€163
Year-round weather. Lima leads by 29 points.29
LimaStuttgart
Score9263
Monthly daytime high18.6 °C to 27.4 °C5.6 °C to 25.9 °C
Monthly rainfall0 mm to 1 mm33 mm to 79 mm
Dry months123
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
Lima
26
27
27
25
22
20
19
19
19
20
22
24
Stuttgart
6
7
12
16
21
24
26
26
21
16
10
6
Sea temperature, °C
Lima
21
22
21
20
19
18
18
17
17
17
18
19
Stuttgart
No coastline within reach
Rainfall, mm
Lima
1
1
0
0
1
1
1
1
1
1
0
1
Stuttgart
35
33
43
37
72
77
79
63
49
55
50
50
Daylight, hours per day
Lima
13
13
12
12
12
11
12
12
12
12
13
13
Stuttgart
9
10
12
14
15
16
16
14
13
11
9
8
Sunshine, hours per day
Lima
5
5
6
6
3
1
1
1
1
2
3
4
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. Lima: 1991-2020 normals, Lima-Callao / Aerop. Internacional Jorgechavez (10.9 km from centre). Stuttgart: 1991-2020 normals, Stuttgart / Neckartal (2.8 km from centre).

WorseBetter

Getting there

Flying fromLimaStuttgart
Sao PauloGRU, VCP, CGH, RTE
4 h 45 m
€282-372
LIM · 9 km
12 h 10 m
no fares
FRA · 146 km
Buenos AiresEZE, AEP
4 h 25 m
€256
LIM · 9 km
14 h 10 m
no fares
FRA · 146 km
BarcelonaBCN
12 h 25 m
€898-998
1 stop
LIM · 9 km
1 h 50 m
€111-165
STR · 10 km
AmsterdamAMS
13 h 5 m
€876-946
1 stop
LIM · 9 km
1 h 15 m
€213-254
STR · 10 km
MadridMAD
11 h 50 m
€895-903
LIM · 9 km
2 h 20 m
€145-238
1 stop
FRA · 146 km
MiamiMIA, OPF
5 h 40 m
€403-426
1 stop
LIM · 9 km
9 h 50 m
no fares
FRA · 146 km
BogotaBOG
2 h 55 m
no fares
LIM · 9 km
11 h 20 m
no fares
FRA · 146 km
Mexico CityMEX, NLU, TLC
5 h 40 m
€348-370
1 stop
LIM · 9 km
11 h 55 m
no fares
FRA · 146 km
Punta CanaPUJ
4 h 50 m
no fares
LIM · 9 km
9 h 30 m
no fares
FRA · 146 km
AtlantaATL, PDK
6 h 45 m
no fares
LIM · 9 km
9 h 30 m
no fares
STR · 10 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

MeasureLimaStuttgart
Official languageSpanish, Aymara, QuechuaGerman
CurrencySol (PEN)Euro (EUR)
SocketsABC220 V, 60 HzCF230 V, 50 Hz
Driving sideRightRight
Time zoneUTC-5UTC+1, UTC+2 in summer
Emergency number111 or 911112
Elevation154 m245 m
Main airportJorge Chávez International Airport (LIM)9 km from centre63 non-stop destinationsStuttgart Airport (STR)10 km from centre121 non-stop destinations
Public holidays this year14 days12 days

By the numbers

MeasureLimaStuttgart
City population9,943,800633,484
People per km²3,7213,054
Museums within 10 km4642
UNESCO World Heritage sites within 50 km23
Distinct cuisines in the centre3359
Swim season, months above 21 °C2 months

Where else could you go?

Every comparison below shares a destination with this one, so you can follow Lima 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). 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. 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.