VacationSelector
The SkyWheel by the beach, Myrtle Beach
Myrtle BeachThe SkyWheel by the beach
Vilnius Cathedral, Vilnius
VilniusVilnius Cathedral

Photos: Myrtle Beach by The ed17, CC BY-SA 4.0, cropped; Vilnius by Scotch Mist, CC BY-SA 4.0, cropped.

Myrtle Beach or Vilnius?

Our verdict in twelve categories, each scored against the same fixed benchmark cities, and the climate month by month, so you can choose for your trip.

Choose Myrtle Beach for

  • beaches
  • families

What lies behind each score is written up on Myrtle Beach’s own page.

Choose Vilnius for

  • getting around
  • culture and sights
  • live music and the arts

What lies behind each score is written up on Vilnius’s own page.

Scoreboard

Twelve categories on one fixed scale from 0 to 100. The shaded stretch is the gap between the two.

Beaches & swimming. Myrtle Beach 84, Vilnius 17: Myrtle Beach leads by 67 points.
Food & drink. Myrtle Beach 38, Vilnius 50: Vilnius leads by 12 points.
Culture & sights. Myrtle Beach 20, Vilnius 66: Vilnius leads by 46 points.
Nightlife. Myrtle Beach 42, Vilnius 46: Vilnius leads by 4 points.
Nature & outdoors. Myrtle Beach 46, Vilnius 52: Vilnius leads by 6 points.
Day trips. Myrtle Beach 50, Vilnius 60: Vilnius leads by 10 points.
Good for families. Myrtle Beach 80, Vilnius 44: Myrtle Beach leads by 36 points.
Getting around. Myrtle Beach 18, Vilnius 68: Vilnius leads by 50 points.
Shopping & style. Myrtle Beach and Vilnius are level on 38.
Affordability. Myrtle Beach 52, Vilnius 64: Vilnius leads by 12 points.
Live music & performing arts. Myrtle Beach 30, Vilnius 54: Vilnius leads by 24 points.
Wellness & relaxation. Myrtle Beach 28, Vilnius 34: Vilnius leads by 6 points.
0255075100

What lies behind each score is written up on the two cities’ own pages: Myrtle Beach and Vilnius.

Your match

Pick a travel style or drag the sliders, and both match scores follow your weighting.

Myrtle Beach
44match

Wins on beaches and families with your weighting.

Vilnius
Best match
49match

Wins on getting around and culture and sights with your weighting.

What matters to you?

When should you go?

Pick your month. The climate figures are measured averages, not a forecast.

Myrtle Beach in July

31 °Cdaytime high
24 °Cnight-time low
172 mmrain in the month
No recordsunshine a day
28 °Csea
14 hdaylight a day

Vilnius in July

24 °Cdaytime high
14 °Cnight-time low
90 mmrain in the month
9 hsunshine a day
No seasea
17 hdaylight a day

Daytime high, °C

-10°0°10°20°30°40°JFMAMJJASOND

Rainfall in the month, mm

050100150200JFMAMJJASOND
Myrtle BeachVilnius

Where the figures come from

Myrtle Beach has no rain gauge within 25 km of the centre, so its rainfall comes from a gridded climate dataset read at the city rather than from a gauge further away.

Temperature and rainfall are climate normals, averaged over the years shown. Myrtle Beach: 1971-2000 (rainfall 1991-2020) normals, Myrtle Beach Air Force Base (5.5 km from centre). Vilnius: 1991-2020 normals, Vilnius (13 km from centre).

Before you go

MeasureMyrtle BeachVilnius
Official language-Lithuanian
CurrencyUS Dollar (USD)Euro (EUR)
SocketsAB120 V, 60 HzCF220 V, 50 Hz
Driving sideRightRight
Time zoneUTC-5, UTC-4 in summerUTC+2, UTC+3 in summer
Emergency number911112
Elevation8 m98 m
Main airportMyrtle Beach International Airport (MYR)5 km from centre60 non-stop destinationsVilnius International Airport (VNO)6 km from centre82 non-stop destinations
Public holidays this year12 days14 days

By the numbers

MeasureMyrtle BeachVilnius
City population35,682619,405
People per km²5911,545
Museums within 10 km231
UNESCO World Heritage sites within 50 km03
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 Myrtle Beach or Vilnius somewhere new.

Browse every destination

Sources

Structured data from Wikidata (CC0). Weather data by Meteostat. Meteorological data provided by NOAA, DWD and others. Rainfall where no rain gauge is within 25 km is from the TerraClimate 1991-2020 climatology (Abatzoglou et al. 2018, Scientific Data), read at the city. 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.

Category scores are our editorial verdict under rubric v3, each placed against the same fixed benchmark cities; the climate figures are measured. How the scores are set. Snapshot generated 2026-11-02. Daily budgets are estimates from country price levels.