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The 2022 State of Digital Nomads

Who is the average nomad?

๐Ÿ‘ถ 33-year old

๐Ÿณ๏ธโ€๐ŸŒˆ Progressive

๐Ÿ’ซ Not religious

๐Ÿ˜Ž Single

โœ‹๐Ÿป White

๐Ÿ‘‹ Heterosexual

๐Ÿ‘จ โ€ Man

๐ŸŽ“ with a
Bachelor's

๐Ÿ’ป works as a
Software Dev

๐Ÿก from
a Home office

๐Ÿ’ฐ makes
$85,000 / y

โ˜•๏ธ loves
Coffee

๐Ÿฅฉ eats meat

๐Ÿฅพ works out by
Hiking

๐Ÿ‡ฏ๐Ÿ‡ต loves
Tokyo most

๐Ÿ’‰ is vaccinated

๐Ÿƒ produces 77% less COโ‚‚

8๏ธโƒฃ and stays for
8 months

n=26,554


Remote work is now on an exponential trajectory and growing fast. With its growth, hundreds of millions of people who are now newly working remotely from home, a cafe, or coworking space, will realize they've become location independent and travel or move to new places. In this report, we try to figure out who these people are, what work do they do, and how they spend their life based on data from tens of thousands of Nomad List members.

This page is built LIVE with data pulled straight from the database every day, so it's always up-to-date. Conclusions you can derive from this are always limited and merely indicative but possibly interesting. Nomad List is a paid membership community, which means there's a selection bias as people who do not or cannot pay are not in the dataset. On the other hand, free digital nomad communities, like on Facebook, require no commitment to join, therefore it's not clear if these people are merely aspirational or active nomads or not. On Nomad List we can confirm they are active based on their travel logs.

The title of this report is inspired by Buffer's amazing annual remote work report (and used with permission).

You can freely use this page's data, please link back and mention us. If you like this, also see the live network graph of all travels on Nomad List and the fastest growing remote work hubs of 2022.

Last updated: 16 minutes ago

๐Ÿ‘ถ Nomads by age

Age %
20
0.2%
21
0.2%
22
1%
23
1%
24
1%
25
1%
26
2%
27
3%
28
4%
29
6%
30
8%
31
6%
32
7%
33
8%
34
6%
35
6%
36
6%
37
5%
38
4%
39
3%
40
3%
41
3%
42
2%
43
3%
44
2%
n=1,027

โ›ณ๏ธ Nomads by nationality

# Country %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 50%
2 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 8%
3 ๐Ÿ‡ท๐Ÿ‡บ Russia 5%
4 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 4%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 3%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 3%
7 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 2%
8 ๐Ÿ‡ง๐Ÿ‡ท Brazil 2%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 2%
10 ๐Ÿ‡ช๐Ÿ‡ธ Spain 1%
11 ๐Ÿ‡ฎ๐Ÿ‡ณ India 1%
12 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine 1%
13 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1%
14 ๐Ÿ‡ฎ๐Ÿ‡น Italy 1%
15 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 1%
16 ๐Ÿ‡ฆ๐Ÿ‡น Austria 1%
17 ๐Ÿ‡ธ๐Ÿ‡ช Sweden 1%
18 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland 1%
19 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel 1%
20 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 0%
21 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 0%
n=20,363

๐Ÿ‘ถ Nomads by gender

Gender %
๐Ÿ‘จโ€ Men
61%
๐Ÿ‘ฑโ€โ™€๏ธ Women
39%
๐Ÿง‘ Other
0%
Last 90 days. n=1,314

๐Ÿ‘€ Nomads by sexuality

Sexuality %
๐Ÿ‘‹ Heterosexual
87%
๐Ÿฆ„ Bisexual
8%
๐Ÿณ๏ธโ€๐ŸŒˆ Gay or lesbian
5%
n=10,976

๐Ÿ™ Nomads by beliefs

Religion %
๐Ÿ’ซ Not religious
56%
๐Ÿ™ Spirituality
29%
โ›ช๏ธ Christianity
7%
๐Ÿ™ Buddhism
2%
โœจ Astrology
2%
๐Ÿ•Œ Islam
2%
๐Ÿ• Judaism
2%
๐Ÿ•‰ Hinduism
1%
๐Ÿ‘ณ Sikhism
0%
n=5,294

โœ‹ Nomads by ethnicity

Ethnicity %
โœ‹๐Ÿป White
61%
โœ‹๐Ÿผ Asian
13%
โœ‹๐Ÿฝ Latin
12%
โœ‹๐Ÿฟ Black
6%
โœ‹๐Ÿฝ Indian
5%
โœ‹๐Ÿพ Middle Eastern
3%
โœ‹๐Ÿฝ Pacific
1%
n=4,528

๐ŸŽ“ Education

Education %
๐ŸšŒ High School
10%
๐ŸŽ“ Higher education
90%
๐Ÿ“œ Bachelor's
54%
๐ŸŽ“ Master's
33%
๐Ÿ‘ฉโ€๐Ÿซ PhD
3%
n=10,466

โค๏ธ Nomads by relationship

Relationship %
๐Ÿ˜Ž Single
65%
๐Ÿ˜ In a relationship
35%
n=5,389

๐Ÿ‘€ Nomads looking for

Looking for %
๐Ÿค Friends
35%
๐ŸŽ’ Travel buddies
32%
๐Ÿน Casual dating
16%
โค๏ธ Relationship
13%
๐Ÿ‘ Poly dating
5%
n=35,207

๐Ÿ’ฐ Nomads by income

Income %
< $25k / y
6%
$25k - $50k / y
15%
$50k - $100k / y
34%
$100k - $250k / y
35%
> $250k - $1M / y
7%
> $1M / y
2%
Average $119,889 / y
Median $85,000 / y
n=1,764

๐Ÿ’ฐ Nomads by employment

Employment type %
Full time
47%
Freelance
17%
Startup founder
16%
Agency
7%
Full time contractor
6%
Other
5%
Part time
2%
Part time contractor
1%
n=1,516


๐Ÿก Where do nomads work from

Place %
๐Ÿก Home office
60%
๐Ÿฌ Coworking
16%
โ˜•๏ธ Cafe
9%
๐Ÿฝ Dining table
4%
๐Ÿ›‹ Couch
3%
๐Ÿข Office
3%
๐Ÿ› Bed
1%
๐Ÿš Van
0%
๐Ÿช‘ Balcony
0%
๐Ÿ›ฅ Boat
0%
๐Ÿชด Garden
0%
๐Ÿ”ช Kitchen
0%
๐Ÿ“š Library
0%
n=615


โš–๏ธ Nomad men by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
49%
โš–๏ธ Non-progressive
51%
๐Ÿ—ฝ Libertarian
25%
โš–๏ธ Centrist
20%
๐Ÿ‘ด Conservative
6%
n=2,696

โš–๏ธ Nomad women by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
74%
โš–๏ธ Non-progressive
26%
โš–๏ธ Centrist
12%
๐Ÿ—ฝ Libertarian
12%
๐Ÿ‘ด Conservative
3%
n=613


What do nomads eat?

๐Ÿฅฉ 74% of ๐Ÿ‘จโ€ men eat meat

๐Ÿฅฉ 53% of ๐Ÿ‘ฑโ€โ™€๏ธwomen eat meat

๐Ÿšซ 37% of nomads don't eat meat

๐Ÿฅ’ 12% are vegetarian

๐Ÿฅ‘ 13% are vegan

๐ŸŸ 6% are pescetarian

n=5,037


๐Ÿ• Nomad men by diet

Diet %
๐Ÿฅฉ Eats meat
74%
๐Ÿšซ Does not eat meat
26%
๐Ÿฅ‘ Vegan
11%
๐Ÿฅ’ Vegetarian
10%
๐ŸŸ Pescetarian
4%
n=4,069

๐Ÿ• Nomad women by diet

Diet %
๐Ÿฅฉ Eats meat
53%
๐Ÿšซ Does not eat meat
47%
๐Ÿฅ’ Vegetarian
19%
๐Ÿฅ‘ Vegan
17%
๐ŸŸ Pescetarian
11%
n=856


How do nomads work out?

๐Ÿฅพ Hiking

๐Ÿ’ช Fitness

๐Ÿƒ Running

๐Ÿคธโ€โ™€๏ธ Yoga

๐ŸŠ Swimming

๐Ÿšด Cycling

n=9,275


๐Ÿ˜… Nomad men by sports

Sport %
๐Ÿฅพ Hiking
50%
๐Ÿ’ช Fitness
47%
๐Ÿƒ Running
30%
๐Ÿšด Cycling
27%
๐ŸŠ Swimming
25%
๐Ÿคธโ€โ™€๏ธ Yoga
22%
๐Ÿ„ Surfing
18%
โ›ฐ Climbing
17%
โ›ท Skiing
17%
๐ŸŒŠ Diving
17%
๐Ÿ‚ Snowboarding
16%
๐Ÿ Motorcycling
14%
๐ŸŽพ Tennis
14%
๐Ÿ’ช Fight sports
11%
๐Ÿ’ช Crossfit
9%
n=7,335

๐Ÿ˜… Nomad women by sports

Sport %
๐Ÿฅพ Hiking
53%
๐Ÿคธโ€โ™€๏ธ Yoga
48%
๐Ÿ’ช Fitness
39%
๐ŸŠ Swimming
26%
๐Ÿƒ Running
22%
๐Ÿšด Cycling
18%
๐ŸŒŠ Diving
15%
๐Ÿ„ Surfing
14%
โ›ฐ Climbing
14%
โ›ท Skiing
12%
๐ŸŽพ Tennis
10%
๐Ÿ‚ Snowboarding
10%
๐Ÿ’ช Crossfit
6%
๐Ÿ Motorcycling
5%
๐Ÿ’ช Fight sports
5%
n=1,693


Where do nomads like to go most?

๐Ÿ‡ฏ๐Ÿ‡ต Tokyo

๐Ÿ‡ญ๐Ÿ‡ท Zagreb

๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan

๐Ÿ‡จ๐Ÿ‡ด Medellรญn

๐Ÿ‡ช๐Ÿ‡ธ Madrid

๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg

n=216,240


๐Ÿ˜ Most liked cities by men

# City Rating
1 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 4.79
2 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 4.76
3 ๐Ÿ‡จ๐Ÿ‡ด Medellรญn 4.75
4 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires 4.72
5 ๐Ÿ‡ญ๐Ÿ‡ท Split 4.72
6 ๐Ÿ‡ท๐Ÿ‡ธ Belgrade 4.71
7 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 4.69
8 ๐Ÿ‡บ๐Ÿ‡ธ Austin 4.67
9 ๐Ÿ‡น๐Ÿ‡ผ Taipei 4.67
10 ๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg 4.62
11 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 4.62
12 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 4.62
13 ๐Ÿ‡ญ๐Ÿ‡ท Zagreb 4.58
14 ๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan 4.58
15 ๐Ÿ‡ง๐Ÿ‡ฌ Sofia 4.55
n=6,069

๐Ÿ˜ Most liked cities by women

# City Rating
1 ๐Ÿ‡ต๐Ÿ‡น Lisbon 4.58
2 ๐Ÿ‡ฌ๐Ÿ‡ง London 4.44
3 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 4.38
4 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 4.29
5 ๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca 4.29
6 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 4.29
7 ๐Ÿ‡ง๐Ÿ‡ฌ Sofia 4.29
8 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 4.17
9 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona 4.17
10 ๐Ÿ‡ฌ๐Ÿ‡ง Edinburgh 4.17
11 ๐Ÿ‡บ๐Ÿ‡ธ San Francisco 4.17
12 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 4.17
13 ๐Ÿ‡บ๐Ÿ‡ธ Tucson 4.00
14 ๐Ÿ‡ฆ๐Ÿ‡ฑ Tirana 4.00
15 ๐Ÿ‡จ๐Ÿ‡ฑ Santiago 4.00
n=6,069


๐ŸŒ† Most visited cities

# City % visited
1 ๐Ÿ‡ฌ๐Ÿ‡ง London 2.45%
2 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 1.82%
3 ๐Ÿ‡บ๐Ÿ‡ธ New York City 1.7%
4 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin 1.69%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris 1.6%
6 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona 1.47%
7 ๐Ÿ‡ต๐Ÿ‡น Lisbon 1.47%
8 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam 1.41%
9 ๐Ÿ‡บ๐Ÿ‡ธ San Francisco 1.34%
10 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 1.12%
11 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 0.97%
12 ๐Ÿ‡บ๐Ÿ‡ธ Los Angeles 0.97%
13 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 0.95%
14 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 0.87%
15 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 0.86%
16 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 0.78%
17 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 0.77%
18 ๐Ÿ‡ท๐Ÿ‡บ Moscow 0.75%
19 ๐Ÿ‡น๐Ÿ‡ท Istanbul 0.74%
20 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 0.72%
21 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 0.69%
22 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 0.6%
23 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 0.59%
24 ๐Ÿ‡ฎ๐Ÿ‡น Rome 0.59%
25 ๐Ÿ‡จ๐Ÿ‡ด Medellรญn 0.57%
26 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong 0.56%
27 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud 0.53%
28 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires 0.52%
29 ๐Ÿ‡ป๐Ÿ‡ณ Ho Chi Minh City 0.51%
30 ๐Ÿ‡ฌ๐Ÿ‡ท Athens 0.51%
n=216,240

๐ŸŒŽ Most visited countries

# Country %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 16%
2 ๐Ÿ‡ช๐Ÿ‡ธ Spain 5%
3 ๐Ÿ‡น๐Ÿ‡ญ Thailand 5%
4 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 4%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 4%
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 4%
7 ๐Ÿ‡ซ๐Ÿ‡ท France 4%
8 ๐Ÿ‡ฎ๐Ÿ‡น Italy 3%
9 ๐Ÿ‡ต๐Ÿ‡น Portugal 3%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Indonesia 2%
11 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 2%
12 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 2%
13 ๐Ÿ‡ง๐Ÿ‡ท Brazil 2%
14 ๐Ÿ‡ท๐Ÿ‡บ Russia 2%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 2%
16 ๐Ÿ‡ป๐Ÿ‡ณ Vietnam 2%
17 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 1%
18 ๐Ÿ‡น๐Ÿ‡ท Turkey 1%
19 ๐Ÿ‡จ๐Ÿ‡ด Colombia 1%
20 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1%
21 ๐Ÿ‡ฎ๐Ÿ‡ณ India 1%
22 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 1%
23 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia 1%
24 ๐Ÿ‡ญ๐Ÿ‡ท Croatia 1%
25 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 1%
26 ๐Ÿ‡จ๐Ÿ‡ณ China 1%
27 ๐Ÿ‡ฆ๐Ÿ‡น Austria 1%
28 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 1%
29 ๐Ÿ‡ญ๐Ÿ‡บ Hungary 1%
30 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 1%
n=216,240

๐Ÿƒ Avg. COโ‚‚ by member traveling

Year COโ‚‚
2013
746 kg/y
2014
1,022 kg/y
2015
1,108 kg/y
2016
1,390 kg/y
2017
1,575 kg/y
2018
1,694 kg/y
2019
1,698 kg/y
2020
1,044 kg/y
2021
1,046 kg/y
2022
1,602 kg/y
Average 1,251 kg/y
Median 1,152 kg/y
Based on 216,240 trips by 9,516 members @ 115g/km COโ‚‚ emitted.
An average American spends ~5,000kg/y on commuting by car and flying. We'd assume nomads travel more internationally but on the other hand they don't commute to work since they work 100% remotely. Many walk to work or work from their home, hotel or Airbnb. That means on average nomads generate 1,152 kg/y, or 77% less COโ‚‚ than the average American on travel and commuting.
Also see Nomad List's COโ‚‚ removal donations.


๐Ÿ‘จ Where men go most

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿ‡ต๐Ÿ‡น Lisbon -15%
2 ๐Ÿ‡น๐Ÿ‡ญ Bangkok +15%
3 ๐Ÿ‡ฌ๐Ÿ‡ง London -18%
4 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona -8%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin -3%
6 ๐Ÿ‡ซ๐Ÿ‡ท Paris -19%
7 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam +2%
8 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai -1%
9 ๐Ÿ‡ญ๐Ÿ‡บ Budapest +19%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu +5%
11 ๐Ÿ‡จ๐Ÿ‡ฟ Prague +12%
12 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore +15%
13 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City -26%
14 ๐Ÿ‡น๐Ÿ‡ท Istanbul +10%
15 ๐Ÿ‡บ๐Ÿ‡ธ New York City -2%
median temp=18°C; n=216,240

๐Ÿ‘ฑโ€โ™€๏ธ Where women go most

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‡ต๐Ÿ‡น Lisbon +17%
2 ๐Ÿ‡ฌ๐Ÿ‡ง London +22%
3 ๐Ÿ‡ซ๐Ÿ‡ท Paris +24%
4 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona +8%
5 ๐Ÿ‡น๐Ÿ‡ญ Bangkok -13%
6 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin +3%
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City +36%
8 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam -2%
9 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai +1%
10 ๐Ÿ‡ฎ๐Ÿ‡น Rome +25%
11 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu -5%
12 ๐Ÿ‡ช๐Ÿ‡ธ Madrid +9%
13 ๐Ÿ‡บ๐Ÿ‡ธ New York City +2%
14 ๐Ÿ‡ญ๐Ÿ‡บ Budapest -16%
15 ๐Ÿ‡จ๐Ÿ‡ฟ Prague -11%
median temp=18°C; n=216,240


๐Ÿ‘จ Where men go more

# Tag vs. women
1 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine +78%
2 ๐Ÿ‡ต๐Ÿ‡ฑ Poland +77%
3 ๐Ÿ‡ท๐Ÿ‡ด Romania +68%
4 ๐Ÿ‡ท๐Ÿ‡บ Russia +62%
5 ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand +36%
6 ๐Ÿ‡ฌ๐Ÿ‡ช Georgia +35%
7 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates +33%
8 ๐Ÿ‡ฏ๐Ÿ‡ต Japan +31%
9 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong +30%
10 ๐Ÿ‡ณ๐Ÿ‡ด Norway +21%
11 ๐Ÿ‡ญ๐Ÿ‡บ Hungary +19%
12 ๐Ÿ‡ท๐Ÿ‡ธ Serbia +18%
13 ๐Ÿ‡ธ๐Ÿ‡ช Sweden +18%
14 ๐Ÿ‡ต๐Ÿ‡ญ Philippines +18%
15 ๐Ÿ‡ฆ๐Ÿ‡น Austria +18%
median temp=14°C; n=216,240

๐Ÿ‘ฑโ€โ™€๏ธ Where women go more

# Tag vs. men
1 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica +58%
2 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa +50%
3 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico +47%
4 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom +21%
5 ๐Ÿ‡ฌ๐Ÿ‡ท Greece +19%
6 ๐Ÿ‡ญ๐Ÿ‡ท Croatia +19%
7 ๐Ÿ‡ต๐Ÿ‡ช Peru +19%
8 ๐Ÿ‡ฎ๐Ÿ‡น Italy +18%
9 ๐Ÿ‡ซ๐Ÿ‡ท France +15%
10 ๐Ÿ‡ต๐Ÿ‡น Portugal +12%
11 ๐Ÿ‡จ๐Ÿ‡ฑ Chile +8%
12 ๐Ÿ‡ช๐Ÿ‡ธ Spain +7%
13 ๐Ÿ‡ฐ๐Ÿ‡ญ Cambodia +3%
14 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland +3%
15 ๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark +3%
median temp=19.5°C; n=216,240


๐Ÿ˜ Most liked countries

# Country Rating
1 ๐Ÿ‡ญ๐Ÿ‡ท Croatia 4.9
2 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 4.9
3 ๐Ÿ‡น๐Ÿ‡ผ Taiwan 4.85
4 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 4.8
5 ๐Ÿ‡ท๐Ÿ‡บ Russia 4.8
6 ๐Ÿ‡ง๐Ÿ‡ท Brazil 4.7
7 ๐Ÿ‡บ๐Ÿ‡ธ United States 4.7
8 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 4.7
9 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 4.65
10 ๐Ÿ‡ฎ๐Ÿ‡ณ India 4.65
11 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica 4.65
12 ๐Ÿ‡ซ๐Ÿ‡ฎ Finland 4.65
13 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 4.65
14 ๐Ÿ‡ช๐Ÿ‡ธ Spain 4.6
15 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 4.6
n=3,355

๐Ÿคฎ Least liked countries

# Country Rating
1 ๐Ÿ‡ฒ๐Ÿ‡ฐ North Macedonia 3
2 ๐Ÿ‡ฒ๐Ÿ‡น Malta 3
3 ๐Ÿ‡ฒ๐Ÿ‡ฉ Moldova 3
4 ๐Ÿ‡ฆ๐Ÿ‡ฑ Albania 3.2
5 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland 3.35
6 ๐Ÿ‡บ๐Ÿ‡พ Uruguay 3.55
7 ๐Ÿ‡จ๐Ÿ‡ฑ Chile 3.55
8 ๐Ÿ‡จ๐Ÿ‡พ Cyprus 3.55
9 ๐Ÿ‡ต๐Ÿ‡ญ Philippines 3.7
10 ๐Ÿ‡ฑ๐Ÿ‡ง Lebanon 3.75
11 ๐Ÿ‡ฉ๐Ÿ‡ด Dominican Republic 3.75
12 ๐Ÿ‡ง๐Ÿ‡ง Barbados 3.75
13 ๐Ÿ‡ธ๐Ÿ‡ฐ Slovakia 3.75
14 ๐Ÿ‡ฒ๐Ÿ‡ช Montenegro 3.95
15 ๐Ÿ‡ฐ๐Ÿ‡ช Kenya 4
n=3,355


โฐ How long do nomads stay in one city?

Duration %
< 7 days
47%
7 - 30 days
33%
30 - 90 days
14%
90+ days
7%
Average 71 days (2 months)
Median 7 days
n=209,657

๐Ÿก How long do nomads stay in one country?

Duration %
< 7 days
4%
7 - 30 days
52%
30 - 90 days
30%
90+ days
15%
Average 249 days (8 months)
n=209,657





What do nomads do for work?

๐Ÿ’ป Software Dev

๐Ÿ“‡ Startup Founder

๐Ÿ•ธ Web Dev

๐Ÿ˜ Marketing

๐Ÿ‘ฉโ€๐ŸŽจ Creative

๐ŸŽจ UI/UX Design

n=16,935


๐Ÿ‘จ Nomad men work as

# Work % vs. women
1 ๐Ÿ’ป Software Dev 34% +245%
2 ๐Ÿ•ธ Web Dev 30% +260%
3 ๐Ÿ“‡ Startup Founder 29% +120%
4 ๐Ÿ˜ Marketing 16% -10%
5 ๐Ÿ“Š SaaS 13% +171%
6 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 13% -25%
7 ๐ŸŽจ UI/UX Design 12% +31%
8 ๐Ÿค  Product Manager 12% +62%
9 ๐Ÿ’ฐ Crypto 12% +250%
10 ๐Ÿ“ฑ Mobile Dev 11% +324%
11 ๐Ÿ“ˆ Data 11% +79%
12 ๐Ÿ’ฐ Finance 10% +108%
13 ๐Ÿ›’ Ecommerce 9% +68%
14 ๐Ÿ“ Blogging 7% -30%
15 ๐Ÿค‘ Sales 7% +59%
n=13,454

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women work as

# Work % vs. men
1 ๐Ÿ˜ Marketing 17% +11%
2 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 17% +34%
3 ๐Ÿ“‡ Startup Founder 13% -55%
4 ๐Ÿ“ Blogging 10% +43%
5 ๐Ÿ’ป Software Dev 10% -71%
6 ๐ŸŽจ UI/UX Design 10% -23%
7 ๐Ÿค Community 9% +38%
8 ๐Ÿ‘จโ€๐Ÿซ Education 8% +27%
9 ๐Ÿ•ธ Web Dev 8% -72%
10 ๐Ÿ‘Š Coach 7% +31%
11 ๐Ÿค  Product Manager 7% -38%
12 ๐Ÿ“ˆ Data 6% -44%
13 ๐Ÿ›’ Ecommerce 5% -40%
14 ๐Ÿ“Š SaaS 5% -63%
15 ๐Ÿ’ฐ Finance 5% -52%
n=3,508


๐Ÿ‘จ Nomad men vs. women

# Tag vs. women
1 ๐Ÿ‘พ Game Dev +346%
2 ๐Ÿ—ƒ Dev Ops +335%
3 ๐Ÿ“ฑ Mobile Dev +324%
4 ๐Ÿ•ธ Web Dev +260%
5 ๐Ÿ’ฐ Crypto +250%
6 ๐Ÿ“ก Sysadmin +245%
7 ๐Ÿ’ป Software Dev +245%
8 ๐Ÿ—บ Geo +179%
9 ๐Ÿ“Š SaaS +171%
10 ๐Ÿ˜Ž VR Dev +167%
11 ๐Ÿ“‡ Startup Founder +120%
12 ๐Ÿ’ฐ Finance +108%
13 ๐Ÿƒ Sports +92%
14 ๐Ÿ“ˆ Data +79%
15 ๐Ÿšš Logistics +78%
n=16,935

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. men
1 ๐Ÿง‘โ€๐Ÿ’ผ Human resources +195%
2 ๐Ÿง  Psychologist +168%
3 ๐Ÿ“ฐ Journalism +70%
4 ๐Ÿ‘จโ€โš•๏ธ Medical +52%
5 ๐Ÿ‘‹ Hospitality +51%
6 ๐Ÿ“ Blogging +43%
7 ๐Ÿ™‚ Support +40%
8 ๐Ÿค Community +38%
9 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +34%
10 ๐Ÿ‘Š Coach +31%
11 ๐Ÿ“ธ Model +29%
12 ๐Ÿ“ž Recruitment +28%
13 ๐Ÿ‘จโ€๐Ÿซ Education +27%
14 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law +16%
15 ๐Ÿ˜ Marketing +11%
n=16,935


How do nomads describe themselves?

โ˜•๏ธ Coffee

๐Ÿ™‚ Optimist

โ›ฐ Outdoors

๐Ÿถ Dogs

๐Ÿฅพ Hiking

๐Ÿ“– Reading

n=16,935


๐Ÿ‘จโ€ Nomad men

# Tag % vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 โ˜•๏ธ Coffee 40% +17%
2 ๐Ÿ™‚ Optimist 30% +19%
3 โ›ฐ Outdoors 28% -2%
4 ๐Ÿฅพ Hiking 27% +6%
5 ๐Ÿบ Beer 27% +104%
6 ๐Ÿถ Dogs 27% =
7 ๐ŸŒ™ Staying up late 26% +39%
8 ๐Ÿ“– Reading 26% +2%
9 โ˜€๏ธ Waking up early 26% +13%
10 ๐Ÿ’ช Fitness 26% +36%
11 ๐Ÿ’‰ COVID vaccinated 25% +8%
12 ๐Ÿท Wine 25% -10%
13 ๐Ÿ‘‰ Right handed 24% +45%
14 ๐Ÿฅฉ Eating meat 22% +71%
15 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 22% +10%
n=13,454

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women

# Tag % vs. ๐Ÿ‘จโ€
1 โ˜•๏ธ Coffee 34% -15%
2 โ›ฐ Outdoors 29% +2%
3 ๐Ÿท Wine 27% +12%
4 ๐Ÿถ Dogs 27% 0%
5 ๐Ÿ™‚ Optimist 26% -16%
6 ๐Ÿ“– Reading 26% -2%
7 ๐Ÿฅพ Hiking 26% -6%
8 ๐Ÿต Tea 25% +12%
9 ๐Ÿคธโ€โ™€๏ธ Yoga 23% +94%
10 โ˜€๏ธ Waking up early 23% -12%
11 ๐Ÿ’‰ COVID vaccinated 23% -8%
12 โ›ฑ Beach 22% +15%
13 ๐Ÿธ Cocktails 21% +5%
14 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 20% -9%
15 ๐ŸŒ™ Staying up late 19% -28%
n=3,508


๐Ÿ‘จ Nomad men vs. women

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿง” Have a beard +2,608%
2 โšฝ๏ธ Football +366%
3 ๐Ÿ€ Basketball +317%
4 ๐Ÿง‘โ€ Short hair +296%
5 ๐Ÿช‚ Dropout +279%
6 ๐Ÿ‘จ No beard +271%
7 ๐Ÿ“ Table tennis +234%
8 ๐Ÿฅ Frisbee +217%
9 ๐Ÿ Motorcycling +203%
10 ๐Ÿชœ Roost Stand +203%
11 ๐ŸŽ Race sports +200%
12 ๐Ÿ‚ Skateboarding +176%
13 ๐Ÿ’ช Fight sports +170%
14 ๐ŸŽง Garage music +161%
15 ๐ŸŽง Hardstyle music +159%
n=16,935

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ’„ Makeup +2,393%
2 ๐Ÿ‘— Dress up +327%
3 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +309%
4 โœจ Astrology +258%
5 ๐Ÿ’ช Feminism +222%
6 ๐Ÿ‡ฐ๐Ÿ‡ท Speaks Korean +121%
7 ๐ŸŽจ Drawing +113%
8 ๐Ÿ’ƒ Dancing +110%
9 โœ‹๐Ÿฟ Black +109%
10 โฌ›๏ธ Has tattoos +104%
11 ๐Ÿ› Shopping +96%
12 ๐Ÿคธโ€โ™€๏ธ Yoga +94%
13 ๐ŸŸจ Blonde hair +92%
14 ๐ŸŒป Gardening +91%
15 ๐ŸŸฅ Red hair +70%
n=16,935




๐Ÿ’‰ Nomads by vaccination

Vaccinated %
๐Ÿ’‰ COVID vaccinated
96%
๐Ÿ’‰ Not COVID vaccinated
4%
n=4,436

โค๏ธ Nomads by family

Relationship %
โค๏ธ Close to parents
79%
๐Ÿ’” Not close to parents
21%
n=929

๐Ÿ‘ถ Nomads by childhood

Childhood %
๐Ÿ˜Š Happy childhood
88%
๐Ÿ˜” Unhappy childhood
12%
n=1,003

๐Ÿก Homeownership amongst nomads

Homeownership %
๐Ÿก Not a homeowner
52%
๐Ÿก Homeowner
48%
n=1,118


What are the traits of attractive nomads?

Attractiveness is based on the proportion of people liking or disliking a person based on their photo on Nomad List's dating app. That does NOT mean people like or dislike specific traits. It's that people who are rated as attractive are more likely to have selected these traits on their profile. TL;DR hot people have specific traits, but those specific traits don't necessarily make you hot (you could always try though).

๐Ÿณ๏ธโ€๐ŸŒˆ LGBT

โ›ท Skiing

๐Ÿ˜ In a relationship

โ›ฐ Climbing

๐ŸŽธ Acoustic music

๐Ÿช• Folk music

n=16,935


๐Ÿ‘จโ€ Attractive men's traits

# Tag Diff
1 ๐Ÿช• Folk music +192%
2 ๐ŸŽง Dubstep music +178%
3 โค๏ธ My parents are together +146%
4 โฌ›๏ธ Has tattoos +141%
5 ๐Ÿ˜ In a relationship +137%
6 ๐ŸŽธ Punk music +123%
7 ๐Ÿ‘ถ Middle child +117%
8 ๐Ÿณ๏ธโ€๐ŸŒˆ LGBT +117%
9 ๐Ÿก Homeowner +113%
10 ๐Ÿง” Have a beard +92%
11 ๐Ÿšฌ Social smoker +89%
12 โค๏ธ Close to my parents +88%
13 ๐ŸŽธ Metal music +87%
14 โ™จ๏ธ Hot springs +87%
15 ๐ŸŽง Hiphop music +86%
16 ๐Ÿก Not a homeowner +82%
17 โ›ฐ Climbing +81%
18 โšฝ๏ธ Football +75%
19 ๐ŸŽง Drum & Bass music +68%
20 ๐Ÿ’ฌ Facebook +67%
21 ๐Ÿ‹๏ธโ€ Weightlifting +66%
22 ๐Ÿ„ Surfing +65%
23 ๐Ÿ’ฐ Pop music +65%
24 โ›”๏ธ Doesn't want kids +65%
25 ๐ŸŽพ Tennis +65%
26 ๐Ÿง– Sauna +62%
27 ๐ŸŽธ Rock music +62%
28 ๐Ÿง‘โ€ Short hair +60%
29 ๐Ÿฅ‘ Vegan +60%
30 โš–๏ธ Centrist politics +60%
n=16,935

๐Ÿ‘ฑโ€โ™€๏ธ Attractive women's traits

# Tag Diff
1 ๐Ÿณ๏ธโ€๐ŸŒˆ LGBT +431%
2 โ›ท Skiing +393%
3 ๐Ÿ˜ In a relationship +253%
4 ๐ŸŽธ Acoustic music +176%
5 ๐Ÿ’ช Fitness +158%
6 ๐ŸŽค Singing +157%
7 โ›ฐ Climbing +152%
8 ๐Ÿƒ Running +149%
9 ๐Ÿง’ Oldest child +140%
10 ๐Ÿ’ซ Not religious +136%
11 ๐Ÿ iPhone +133%
12 ๐ŸŽž Movies +131%
13 ๐Ÿ“ธ Photography +111%
14 โ›ฑ Beach +110%
15 ๐Ÿฃ Japanese food +106%
16 ๐Ÿšด Cycling +92%
17 ๐Ÿฅพ Hiking +88%
18 ๐Ÿ“– Reading +88%
19 ๐Ÿคธโ€โ™€๏ธ Yoga +85%
20 ๐Ÿคฒ Empathy +84%
21 โ›ฐ Outdoors +83%
22 ๐Ÿ™ Spiritual +79%
23 ๐Ÿ‘ฉโ€๐Ÿณ Cooking +79%
24 ๐ŸŒฏ Mexican food +79%
25 ๐Ÿพ Drinking alcohol +77%
26 ๐Ÿค” Philosophy +76%
27 โ›ช๏ธ History +76%
28 ๐Ÿง  Open-minded +74%
29 ๐ŸŠ Swimming +72%
30 ๐Ÿถ Dogs +70%
n=16,935


And unattractive traits?

Attractiveness is based on the proportion of people liking or disliking a person based on their photo on Nomad List's dating app. That does NOT mean people like or dislike specific traits. It's that people who are rated as unattractive are more likely to have selected these traits on their profile. TL;DR unattractive people have specific traits, but those specific traits don't necessarily make you unattractive.

๐Ÿ Cricket

๐Ÿ– Carnivore

๐Ÿ’ช Fight sports

๐Ÿš Urbex

๐Ÿ˜ˆ Kink

๐Ÿ“” Religious

n=16,935


๐Ÿ‘จโ€ Unattractive men's traits

# Tag Diff
1 ๐Ÿ Cricket -987%
2 ๐Ÿช‚ Skydiving -390%
3 ๐Ÿ‘จ No beard -257%
4 ๐Ÿช‚ Dropout -226%
5 ๐Ÿ’ฅ Messy -186%
6 ๐Ÿช‚ Paragliding -178%
7 ๐Ÿ˜Ž Single -168%
8 ๐Ÿ™ Buddhist -125%
9 ๐Ÿ‘ด Conservative politics -113%
10 ๐Ÿ“” Religious -104%
11 ๐Ÿ‘จโ€๐Ÿฆฒ Bald -92%
12 ๐Ÿ– Paleo -82%
13 ๐Ÿš Urbex -67%
14 โœˆ๏ธ Private pilot -66%
15 ๐Ÿ’„ Makeup -59%
16 ๐Ÿ Volleyball -58%
17 ๐Ÿฅ› No alcohol -49%
18 ๐Ÿ– Carnivore -43%
19 ๐Ÿ˜ˆ Kink -43%
20 ๐Ÿ•บ Breakdance -37%
21 ๐Ÿฅš Hard boiled eggs -29%
22 ๐Ÿคฒ Empathy -27%
23 ๐Ÿ‘… Sex positive -25%
24 ๐Ÿ’ƒ Dancing -24%
25 ๐Ÿ Motorcycling -23%
26 ๐Ÿชœ Roost Stand -22%
27 ๐Ÿฅš Soft boiled eggs -15%
28 ๐ŸŸ Eating fish -13%
29 ๐Ÿ’ Ice hockey -13%
30 ๐Ÿฅ’ Vegetarian -11%
n=16,935

๐Ÿ‘ฑโ€โ™€๏ธ Unattractive women's traits

# Tag Diff
1 ๐Ÿ’ฌ Facebook -1,548%
2 ๐Ÿ‘ถ Parent -1,366%
3 ๐Ÿ’ฌ Twitter -1,112%
4 ๐Ÿ– Carnivore -906%
5 ๐Ÿ’ช Fight sports -833%
6 โšฝ๏ธ Football -797%
7 ๐Ÿš Urbex -651%
8 โฌœ๏ธ Has no tattoos -566%
9 ๐Ÿ˜ˆ Kink -518%
10 ๐Ÿšœ Country music -518%
11 ๐ŸŽง Trance music -470%
12 ๐Ÿ‚ Skateboarding -421%
13 ๐Ÿ“” Religious -385%
14 ๐Ÿšฌ Daily smoker -191%
15 ๐Ÿ€ Basketball -191%
16 ๐Ÿ‘จ No beard -130%
17 โ™จ๏ธ Hot springs -123%
18 โ›ต๏ธ Sailing -123%
19 ๐Ÿ‘ด Conservative politics -118%
20 ๐Ÿช‚ Dropout -106%
21 ๐Ÿ‚ Snowboarding -94%
22 ๐ŸŒ Third Culture Kid -56%
23 ๐ŸŒŠ Diving -55%
24 ๐Ÿ‘ถ Middle child -47%
25 ๐Ÿ’ฌ LINE -45%
26 ๐ŸŽง Hardstyle music -45%
27 ๐Ÿฅš Hard boiled eggs -41%
28 ๐Ÿ’ฌ Whatsapp -34%
29 ๐Ÿช‚ Skydiving -33%
30 ๐Ÿ‘… Sex positive -27%
n=16,935


Where do attractive people go?

๐Ÿ‘จโ€ Where attractive men travel to

# City Attractiveness
1 ๐Ÿ‡ช๐Ÿ‡ธ Ibiza 5
2 ๐Ÿ‡ช๐Ÿ‡ธ Seville 4.88
3 ๐Ÿ‡น๐Ÿ‡ญ Krabi 4.88
4 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 4.88
5 ๐Ÿ‡จ๐Ÿ‡ฆ Montreal 4.88
6 ๐Ÿ‡ฎ๐Ÿ‡ฉ Seminyak 4.88
7 ๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik 4.88
8 ๐Ÿ‡ณ๐Ÿ‡ฟ Auckland 4.88
9 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 4.88
10 ๐Ÿ‡จ๐Ÿ‡ฆ Vancouver 4.88
11 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 4.88
12 ๐Ÿ‡ป๐Ÿ‡ณ Hoi An 4.88
13 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.85
14 ๐Ÿ‡ช๐Ÿ‡ธ Granada 4.79
15 ๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt 4.77
16 ๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum 4.75
17 ๐Ÿ‡ช๐Ÿ‡ธ Tenerife 4.74
18 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud 4.74
19 ๐Ÿ‡ง๐Ÿ‡ช Bruges 4.72
20 ๐Ÿ‡ฎ๐Ÿ‡ฑ Tel Aviv 4.72
21 ๐Ÿ‡ฉ๐Ÿ‡ช Cologne 4.7
22 ๐Ÿ‡ณ๐Ÿ‡ฑ Rotterdam 4.69
23 ๐Ÿ‡ต๐Ÿ‡น Porto 4.68
24 ๐Ÿ‡ช๐Ÿ‡ธ Gran Canaria 4.64
25 ๐Ÿ‡ง๐Ÿ‡พ Minsk 4.64
26 ๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro 4.61
27 ๐Ÿ‡ง๐Ÿ‡ช Brussels 4.6
28 ๐Ÿ‡บ๐Ÿ‡ธ Chicago 4.59
29 ๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo 4.59
30 ๐Ÿ‡ฒ๐Ÿ‡น Sliema 4.59
Based on attractiveness of visitors n=216,240

๐Ÿ‘ฑโ€โ™€๏ธ Where attractive women travel to

# City Attractiveness
1 ๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta 5
2 ๐Ÿ‡ธ๐Ÿ‡ฐ Bratislava 4.96
3 ๐Ÿ‡ช๐Ÿ‡ธ Ibiza 4.95
4 ๐Ÿ‡ต๐Ÿ‡ฑ Warsaw 4.94
5 ๐Ÿ‡น๐Ÿ‡ญ Ko Samui 4.9
6 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.86
7 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.84
8 ๐Ÿ‡ต๐Ÿ‡ญ Manila 4.79
9 ๐Ÿ‡น๐Ÿ‡ญ Krabi 4.78
10 ๐Ÿ‡ฎ๐Ÿ‡ฑ Tel Aviv 4.71
11 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 4.69
12 ๐Ÿ‡ธ๐Ÿ‡ช Stockholm 4.68
13 ๐Ÿ‡ฎ๐Ÿ‡ณ Delhi 4.68
14 ๐Ÿ‡ฐ๐Ÿ‡ท Seoul 4.68
15 ๐Ÿ‡ฑ๐Ÿ‡น Vilnius 4.67
16 ๐Ÿ‡ต๐Ÿ‡น Lagos 4.66
17 ๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan 4.63
18 ๐Ÿ‡ฒ๐Ÿ‡ช Kotor 4.62
19 ๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum 4.59
20 ๐Ÿ‡ญ๐Ÿ‡ท Split 4.59
21 ๐Ÿ‡ฑ๐Ÿ‡ป Riga 4.58
22 ๐Ÿ‡จ๐Ÿ‡ท Santa Teresa 4.57
23 ๐Ÿ‡ฉ๐Ÿ‡ฐ Copenhagen 4.54
24 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 4.53
25 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 4.53
26 ๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi 4.53
27 ๐Ÿ‡ต๐Ÿ‡น Ericeira 4.53
28 ๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik 4.53
29 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas 4.53
30 ๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana 4.52
Based on attractiveness of visitors n=216,240


And where do unattractive people go?

๐Ÿ‘จโ€ Where unattractive men travel to

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 3.25
2 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.66
3 ๐Ÿ‡น๐Ÿ‡ท Antalya 3.74
4 ๐Ÿ‡ช๐Ÿ‡ฌ Cairo 3.8
5 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 3.83
6 ๐Ÿ‡จ๐Ÿ‡พ Paphos 3.88
7 ๐Ÿ‡ง๐Ÿ‡ฌ Bansko 3.9
8 ๐Ÿ‡ท๐Ÿ‡ด Bucharest 3.9
9 ๐Ÿ‡ธ๐Ÿ‡ฐ Bratislava 3.95
10 ๐Ÿ‡ถ๐Ÿ‡ฆ Doha 3.99
11 ๐Ÿ‡น๐Ÿ‡ท Istanbul 3.99
12 ๐Ÿ‡ญ๐Ÿ‡ท Zagreb 3.99
13 ๐Ÿ‡จ๐Ÿ‡ฑ Santiago 4.03
14 ๐Ÿ‡ฏ๐Ÿ‡ต Osaka 4.03
15 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 4.04
16 ๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan 4.04
17 ๐Ÿ‡จ๐Ÿ‡บ Havana 4.04
18 ๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana 4.04
19 ๐Ÿ‡ท๐Ÿ‡ธ Belgrade 4.05
20 ๐Ÿ‡จ๐Ÿ‡ด Medellรญn 4.05
21 ๐Ÿ‡ง๐Ÿ‡ฌ Sofia 4.07
22 ๐Ÿ‡ฆ๐Ÿ‡น Salzburg 4.07
23 ๐Ÿ‡ฒ๐Ÿ‡จ Monaco 4.07
24 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 4.08
25 ๐Ÿ‡ฒ๐Ÿ‡ช Kotor 4.09
26 ๐Ÿ‡ต๐Ÿ‡น Madeira 4.1
27 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 4.11
28 ๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi 4.12
29 ๐Ÿ‡บ๐Ÿ‡ธ San Diego 4.14
30 ๐Ÿ‡บ๐Ÿ‡ธ Austin 4.14
Based on unattractiveness of visitors n=216,240

๐Ÿ‘ฑโ€โ™€๏ธ Where unattractive women travel to

# City Attractiveness
1 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 3.05
2 ๐Ÿ‡ต๐Ÿ‡ท San Juan 3.34
3 ๐Ÿ‡บ๐Ÿ‡ธ Washington 3.42
4 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.44
5 ๐Ÿ‡ฌ๐Ÿ‡ง Manchester 3.52
6 ๐Ÿ‡ช๐Ÿ‡จ Quito 3.6
7 ๐Ÿ‡จ๐Ÿ‡ณ Guangzhou 3.65
8 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.67
9 ๐Ÿ‡ฌ๐Ÿ‡ง Glasgow 3.71
10 ๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo 3.71
11 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.73
12 ๐Ÿ‡ฌ๐Ÿ‡ท Chania 3.75
13 ๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende 3.76
14 ๐Ÿ‡ฎ๐Ÿ‡น Naples 3.76
15 ๐Ÿ‡ท๐Ÿ‡ด Bucharest 3.77
16 ๐Ÿ‡ณ๐Ÿ‡ฟ Wellington 3.77
17 ๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane 3.82
18 ๐Ÿ‡จ๐Ÿ‡ณ Beijing 3.82
19 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.82
20 ๐Ÿ‡จ๐Ÿ‡ท San Josรฉ 3.82
21 ๐Ÿ‡ฒ๐Ÿ‡ฝ Merida 3.85
22 ๐Ÿ‡บ๐Ÿ‡ธ Denver 3.85
23 ๐Ÿ‡ป๐Ÿ‡ณ Hoi An 3.87
24 ๐Ÿ‡ฐ๐Ÿ‡ญ Siem Reap 3.88
25 ๐Ÿ‡ป๐Ÿ‡ณ Hanoi 3.88
26 ๐Ÿ‡ช๐Ÿ‡ธ Tenerife 3.88
27 ๐Ÿ‡ฎ๐Ÿ‡น Palermo 3.89
28 ๐Ÿ‡ฌ๐Ÿ‡ง Edinburgh 3.9
29 ๐Ÿ‡น๐Ÿ‡ญ Ko Lanta 3.9
30 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.9
Based on unattractiveness of visitors n=216,240



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