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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

๐Ÿ‡บ๐Ÿ‡ธ from
US

๐ŸŽ“ with a
Bachelor's

๐Ÿ’ป works as a
Software Dev

๐Ÿ’ฐ makes
$80,000 / y

โ˜•๏ธ loves
Coffee

๐Ÿฅฉ eats meat

๐Ÿฅพ works out by
Hiking

๐Ÿ‡ฏ๐Ÿ‡ต loves
Tokyo

๐Ÿ’‰ is vaccinated

7๏ธโƒฃ0๏ธโƒฃ and stays for
70 days

n=21,456

Remote work is now on an exponential trajectory and growing fast. With its growth, 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 build 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: 1 minute ago

๐Ÿ‘ถ Nomads by age

Age %
20
0.1%
21
0.1%
22
1%
23
1%
24
2%
25
1%
26
2%
27
3%
28
5%
29
5%
30
7%
31
6%
32
8%
33
8%
34
8%
35
6%
36
5%
37
5%
38
4%
39
4%
40
3%
41
3%
42
2%
43
3%
44
1%
n=797

โ›ณ๏ธ Nomads by nationality

# Country %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 49%
2 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 13%
3 ๐Ÿ‡ท๐Ÿ‡บ Russia 5%
4 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 4%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 3%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 2%
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‡บ๐Ÿ‡ฆ Ukraine 1%
12 ๐Ÿ‡ฎ๐Ÿ‡ณ India 1%
13 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1%
14 ๐Ÿ‡ฆ๐Ÿ‡น Austria 1%
15 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 1%
16 ๐Ÿ‡ฎ๐Ÿ‡น Italy 1%
17 ๐Ÿ‡ธ๐Ÿ‡ช Sweden 1%
18 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel 0%
n=20,149

๐Ÿ‘ถ Nomads by gender

Gender %
๐Ÿ‘จโ€ Men
79%
๐Ÿ‘ฑโ€โ™€๏ธ Women
20%
๐Ÿง‘ Other
1%
n=12,749

๐Ÿ‘€ Nomads by sexuality

Sexuality %
๐Ÿ‘‹ Heterosexual
86%
๐Ÿฆ„ Bisexual
9%
๐Ÿณ๏ธโ€๐ŸŒˆ Gay or lesbian
5%
n=7,818

๐Ÿ™ Nomads by beliefs

Religion %
๐Ÿ’ซ Not religious
55%
๐Ÿ™ Spirituality
31%
โ›ช๏ธ Christianity
6%
๐Ÿ™ Buddhism
2%
โœจ Astrology
2%
๐Ÿ•Œ Islam
2%
๐Ÿ• Judaism
1%
๐Ÿ•‰ Hinduism
0%
n=3,682

โœ‹ Nomads by ethnicity

Ethnicity %
โœ‹๐Ÿป White
63%
โœ‹๐Ÿผ Asian
13%
โœ‹๐Ÿฝ Latin
12%
โœ‹๐Ÿฟ Black
6%
โœ‹๐Ÿฝ Indian
4%
โœ‹๐Ÿพ Middle Eastern
3%
โœ‹๐Ÿฝ Pacific
1%
n=2,980

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=7,192

โค๏ธ Nomads by relationship

Relationship %
๐Ÿ˜Ž Single
66%
๐Ÿ˜ In a relationship
34%
n=3,525

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=24,610

๐Ÿ’ฐ Nomads by income

Income %
< $25k / y
7%
$25k - $50k / y
17%
$50k - $100k / y
34%
$100k - $250k / y
33%
> $250k / y
9%
Average $120,719 / y
Median $80,000 / y
n=640

โš–๏ธ Nomad men by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
52%
โš–๏ธ Non-progressive
48%
๐Ÿ—ฝ Libertarian
โš–๏ธ Centrist
๐Ÿ‘ด Conservative
n=2,077

โš–๏ธ Nomad women by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
73%
โš–๏ธ Non-progressive
27%
โš–๏ธ Centrist
13%
๐Ÿ—ฝ Libertarian
11%
๐Ÿ‘ด Conservative
3%
n=463

What do nomads eat?

๐Ÿฅฉ 74% of ๐Ÿ‘จโ€ men eat meat

๐Ÿšซ 46% ๐Ÿ‘ฑโ€โ™€๏ธwomen don't eat meat

๐Ÿฅ’ 12% are vegetarian

๐Ÿฅ‘ 13% are vegan

๐ŸŸ 5% are pescetarian

n=3,795


๐Ÿ• Nomad men by diet

Diet %
๐Ÿฅฉ Eats meat
74%
๐Ÿšซ Does not eat meat
26%
๐Ÿฅ‘ Vegan
12%
๐Ÿฅ’ Vegetarian
10%
๐ŸŸ Pescetarian
4%
n=3,088

๐Ÿ• Nomad women by diet

Diet %
๐Ÿฅฉ Eats meat
54%
๐Ÿšซ Does not eat meat
46%
๐Ÿฅ‘ Vegan
18%
๐Ÿฅ’ Vegetarian
18%
๐ŸŸ Pescetarian
10%
n=643


How do nomads work out?

๐Ÿฅพ Hiking

๐Ÿ’ช Fitness

๐Ÿƒ Running

๐Ÿคธโ€โ™€๏ธ Yoga

๐Ÿšด Cycling

๐ŸŠ Swimming

n=6,536


๐Ÿ˜… Nomad men by sports

Sport %
๐Ÿฅพ Hiking
52%
๐Ÿ’ช Fitness
47%
๐Ÿƒ Running
31%
๐Ÿšด Cycling
28%
๐ŸŠ Swimming
26%
๐Ÿคธโ€โ™€๏ธ Yoga
24%
๐Ÿ„ Surfing
19%
๐ŸŒŠ Diving
18%
โ›ฐ Climbing
18%
๐Ÿ‚ Snowboarding
17%
โ›ท Skiing
17%
๐Ÿ Motorcycling
15%
๐ŸŽพ Tennis
14%
๐Ÿ’ช Fight sports
11%
๐Ÿ’ช Crossfit
9%
n=5,228

๐Ÿ˜… Nomad women by sports

Sport %
๐Ÿฅพ Hiking
55%
๐Ÿคธโ€โ™€๏ธ Yoga
51%
๐Ÿ’ช Fitness
41%
๐ŸŠ Swimming
27%
๐Ÿƒ Running
24%
๐Ÿšด Cycling
20%
๐ŸŒŠ Diving
16%
๐Ÿ„ Surfing
15%
โ›ฐ Climbing
14%
โ›ท Skiing
12%
๐Ÿ‚ Snowboarding
11%
๐ŸŽพ Tennis
9%
๐Ÿ Motorcycling
7%
๐Ÿ’ช Crossfit
6%
๐Ÿ’ช Fight sports
5%
n=1,158


Where do nomads like to go?

๐Ÿ‡ฏ๐Ÿ‡ต Tokyo

๐Ÿ‡น๐Ÿ‡ผ Taipei

๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City

๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town

๐Ÿ‡ช๐Ÿ‡ธ Tenerife

๐Ÿ‡ช๐Ÿ‡ธ Seville

n=160,405

๐Ÿ˜ Most liked cities by men

# City Rating
1 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 4.79
2 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 4.75
3 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 4.75
4 ๐Ÿ‡จ๐Ÿ‡ด Medellรญn 4.72
5 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires 4.71
6 ๐Ÿ‡น๐Ÿ‡ผ Taipei 4.67
7 ๐Ÿ‡ป๐Ÿ‡ณ Da Nang 4.67
8 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 4.64
9 ๐Ÿ‡บ๐Ÿ‡ธ Austin 4.64
10 ๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg 4.62
11 ๐Ÿ‡ญ๐Ÿ‡ท Split 4.62
12 ๐Ÿ‡ท๐Ÿ‡ธ Belgrade 4.62
13 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 4.57
14 ๐Ÿ‡บ๐Ÿ‡ธ Chicago 4.55
15 ๐Ÿ‡ช๐Ÿ‡ธ Tenerife 4.55
n=5,643

๐Ÿ˜ Most liked cities by women

# City Rating
1 ๐Ÿ‡ต๐Ÿ‡น Lisbon 4.58
2 ๐Ÿ‡ฌ๐Ÿ‡ง London 4.50
3 ๐Ÿ‡ง๐Ÿ‡ฌ Sofia 4.29
4 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 4.29
5 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 4.29
6 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 4.29
7 ๐Ÿ‡บ๐Ÿ‡ธ San Francisco 4.17
8 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 4.17
9 ๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca 4.17
10 ๐Ÿ‡ฆ๐Ÿ‡ฑ Tirana 4.00
11 ๐Ÿ‡ฌ๐Ÿ‡ง Edinburgh 4.00
12 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 4.00
13 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona 4.00
14 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 4.00
15 ๐Ÿ‡ง๐Ÿ‡ท Sรฃo Paulo 4.00
n=5,643

๐ŸŒ† Most visited cities

# City % visited
1 ๐Ÿ‡ฌ๐Ÿ‡ง London 2.49%
2 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 1.96%
3 ๐Ÿ‡บ๐Ÿ‡ธ New York City 1.77%
4 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin 1.67%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris 1.6%
6 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam 1.46%
7 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona 1.45%
8 ๐Ÿ‡บ๐Ÿ‡ธ San Francisco 1.45%
9 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 1.3%
10 ๐Ÿ‡ต๐Ÿ‡น Lisbon 1.25%
11 ๐Ÿ‡บ๐Ÿ‡ธ Los Angeles 1.04%
12 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 1%
13 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 0.9%
14 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 0.89%
15 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 0.85%
16 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 0.8%
17 ๐Ÿ‡ท๐Ÿ‡บ Moscow 0.78%
18 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 0.78%
19 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 0.77%
20 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 0.72%
21 ๐Ÿ‡น๐Ÿ‡ท Istanbul 0.61%
22 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud 0.6%
23 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 0.59%
24 ๐Ÿ‡ป๐Ÿ‡ณ Ho Chi Minh City 0.58%
25 ๐Ÿ‡ฎ๐Ÿ‡น Rome 0.56%
26 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong 0.56%
27 ๐Ÿ‡บ๐Ÿ‡ธ Seattle 0.55%
28 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 0.52%
29 ๐Ÿ‡จ๐Ÿ‡ด Medellรญn 0.52%
30 ๐Ÿ‡บ๐Ÿ‡ธ Chicago 0.51%
n=160,405

๐ŸŒŽ Most visited countries

# Country %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 16%
2 ๐Ÿ‡น๐Ÿ‡ญ Thailand 5%
3 ๐Ÿ‡ช๐Ÿ‡ธ Spain 5%
4 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 4%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 4%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 4%
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 3%
8 ๐Ÿ‡ฎ๐Ÿ‡น Italy 3%
9 ๐Ÿ‡ฎ๐Ÿ‡ฉ Indonesia 2%
10 ๐Ÿ‡ต๐Ÿ‡น Portugal 2%
11 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 2%
12 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 2%
13 ๐Ÿ‡ท๐Ÿ‡บ Russia 2%
14 ๐Ÿ‡ง๐Ÿ‡ท Brazil 2%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 2%
16 ๐Ÿ‡ป๐Ÿ‡ณ Vietnam 2%
17 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 2%
18 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia 1%
19 ๐Ÿ‡จ๐Ÿ‡ณ China 1%
20 ๐Ÿ‡ฎ๐Ÿ‡ณ India 1%
21 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1%
22 ๐Ÿ‡จ๐Ÿ‡ด Colombia 1%
23 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 1%
24 ๐Ÿ‡น๐Ÿ‡ท Turkey 1%
25 ๐Ÿ‡ญ๐Ÿ‡ท Croatia 1%
26 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 1%
27 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 1%
28 ๐Ÿ‡ญ๐Ÿ‡บ Hungary 1%
29 ๐Ÿ‡ฆ๐Ÿ‡น Austria 1%
30 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 1%
n=160,405

๐Ÿƒ Avg. COโ‚‚ by member traveling

Year COโ‚‚
Average 0 kg/y
Median 0 kg/y
Based on 160,405 trips by 7,077 members @ 115g/km COโ‚‚ emitted.
An average American spends ~5,000kg/y on commuting by car and flying. We'd assume nomads travel more internatinally 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 100% 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‡ฌ๐Ÿ‡ง London -19%
2 ๐Ÿ‡น๐Ÿ‡ญ Bangkok +12%
3 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin +2%
4 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona -2%
5 ๐Ÿ‡ต๐Ÿ‡น Lisbon -18%
6 ๐Ÿ‡บ๐Ÿ‡ธ New York City -9%
7 ๐Ÿ‡ซ๐Ÿ‡ท Paris -15%
8 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam +2%
9 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 0%
10 ๐Ÿ‡บ๐Ÿ‡ธ San Francisco +13%
11 ๐Ÿ‡ญ๐Ÿ‡บ Budapest +10%
12 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore +14%
13 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu +3%
14 ๐Ÿ‡จ๐Ÿ‡ฟ Prague +8%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo +8%
median temp=18°C; n=160,405

๐Ÿ‘ฑโ€โ™€๏ธ Where women go most

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‡ฌ๐Ÿ‡ง London +24%
2 ๐Ÿ‡ต๐Ÿ‡น Lisbon +22%
3 ๐Ÿ‡ซ๐Ÿ‡ท Paris +17%
4 ๐Ÿ‡บ๐Ÿ‡ธ New York City +10%
5 ๐Ÿ‡น๐Ÿ‡ญ Bangkok -11%
6 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona +2%
7 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin -2%
8 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai +0%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam -2%
10 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City +33%
11 ๐Ÿ‡บ๐Ÿ‡ธ San Francisco -11%
12 ๐Ÿ‡ญ๐Ÿ‡บ Budapest -9%
13 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu -3%
14 ๐Ÿ‡บ๐Ÿ‡ธ Los Angeles +9%
15 ๐Ÿ‡ฎ๐Ÿ‡น Rome +22%
median temp=19°C; n=160,405


๐Ÿ‘จ Where men go more

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine +92%
2 ๐Ÿ‡ต๐Ÿ‡ฑ Poland +78%
3 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong +59%
4 ๐Ÿ‡ท๐Ÿ‡บ Russia +56%
5 ๐Ÿ‡ท๐Ÿ‡ด Romania +38%
6 ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand +31%
7 ๐Ÿ‡ง๐Ÿ‡ท Brazil +29%
8 ๐Ÿ‡ฎ๐Ÿ‡ณ India +26%
9 ๐Ÿ‡ณ๐Ÿ‡ด Norway +25%
10 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates +21%
11 ๐Ÿ‡ฏ๐Ÿ‡ต Japan +19%
12 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland +18%
13 ๐Ÿ‡ฉ๐Ÿ‡ช Germany +17%
14 ๐Ÿ‡ธ๐Ÿ‡ช Sweden +16%
15 ๐Ÿ‡ง๐Ÿ‡ช Belgium +16%
median temp=15°C; n=160,405

๐Ÿ‘ฑโ€โ™€๏ธ Where women go more

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico +46%
2 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica +44%
3 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa +31%
4 ๐Ÿ‡ต๐Ÿ‡ช Peru +27%
5 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom +22%
6 ๐Ÿ‡ฌ๐Ÿ‡ท Greece +19%
7 ๐Ÿ‡ฎ๐Ÿ‡น Italy +18%
8 ๐Ÿ‡ญ๐Ÿ‡ท Croatia +14%
9 ๐Ÿ‡ต๐Ÿ‡น Portugal +13%
10 ๐Ÿ‡ฐ๐Ÿ‡ญ Cambodia +11%
11 ๐Ÿ‡บ๐Ÿ‡ธ United States +9%
12 ๐Ÿ‡ซ๐Ÿ‡ท France +8%
13 ๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark +5%
14 ๐Ÿ‡จ๐Ÿ‡ณ China +5%
15 ๐Ÿ‡ฆ๐Ÿ‡บ Australia +2%
median temp=21°C; n=160,405


๐Ÿ˜ Most liked countries

# Country Rating
1 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 4.9
2 ๐Ÿ‡ญ๐Ÿ‡ท Croatia 4.85
3 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 4.8
4 ๐Ÿ‡ท๐Ÿ‡บ Russia 4.8
5 ๐Ÿ‡บ๐Ÿ‡ธ United States 4.75
6 ๐Ÿ‡ฌ๐Ÿ‡ช Georgia 4.75
7 ๐Ÿ‡ง๐Ÿ‡ท Brazil 4.75
8 ๐Ÿ‡ฎ๐Ÿ‡ณ India 4.75
9 ๐Ÿ‡ฆ๐Ÿ‡น Austria 4.7
10 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 4.7
n=2,935

๐Ÿ’ฐ How long do they stay in one place?

Duration %
< 7 days
47%
7 - 30 days
32%
30 - 90 days
14%
90+ days
7%
Average 70 days
Median 7 days
n=155,446



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=12,670

๐Ÿ‘จ Nomad men work as

# Work % vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿ’ป Software Dev 32% +249%
2 ๐Ÿ•ธ Web Dev 29% +239%
3 ๐Ÿ“‡ Startup Founder 29% +113%
4 ๐Ÿ˜ Marketing 15% -8%
5 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 13% -23%
6 ๐ŸŽจ UI/UX Design 13% +33%
7 ๐Ÿ“Š SaaS 12% +171%
8 ๐Ÿ“ฑ Mobile Dev 12% +287%
9 ๐Ÿค  Product Manager 12% +83%
10 ๐Ÿ’ฐ Crypto 11% +265%
11 ๐Ÿ“ˆ Data 11% +80%
12 ๐Ÿ’ฐ Finance 10% +114%
13 ๐Ÿ›’ Ecommerce 9% +62%
14 ๐Ÿ“ Blogging 7% -32%
15 ๐Ÿ‘จโ€๐Ÿซ Education 7% -23%
n=10,111

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women work as

# Work % vs. ๐Ÿ‘จโ€
1 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 18% +31%
2 ๐Ÿ˜ Marketing 17% +9%
3 ๐Ÿ“‡ Startup Founder 14% -53%
4 ๐Ÿ“ Blogging 11% +47%
5 ๐ŸŽจ UI/UX Design 10% -25%
6 ๐Ÿค Community 9% +47%
7 ๐Ÿ’ป Software Dev 9% -71%
8 ๐Ÿ‘จโ€๐Ÿซ Education 9% +30%
9 ๐Ÿ•ธ Web Dev 9% -70%
10 ๐Ÿ‘Š Coach 7% +21%
11 ๐Ÿค  Product Manager 6% -45%
12 ๐Ÿ“ˆ Data 6% -44%
13 ๐Ÿ›’ Ecommerce 5% -38%
14 ๐Ÿ’ฐ Finance 5% -53%
15 ๐Ÿ™‚ Support 5% +50%
n=2,547

๐Ÿ‘จ Nomad men vs. women

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿ‘พ Game Dev +350%
2 ๐Ÿ—ƒ Dev Ops +325%
3 ๐Ÿ“ฑ Mobile Dev +287%
4 ๐Ÿ’ฐ Crypto +265%
5 ๐Ÿ’ป Software Dev +249%
6 ๐Ÿ•ธ Web Dev +239%
7 ๐Ÿ“Š SaaS +171%
8 ๐Ÿ“ก Sysadmin +170%
9 ๐Ÿ’ฐ Finance +114%
10 ๐Ÿ—บ Geo +113%
11 ๐Ÿ“‡ Startup Founder +113%
12 ๐Ÿƒ Sports +110%
13 ๐Ÿ˜Ž VR Dev +91%
14 ๐Ÿค  Product Manager +83%
15 ๐Ÿ“ˆ Data +80%
n=12,670

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‘จโ€โš•๏ธ Medical +81%
2 ๐Ÿ“ฐ Journalism +75%
3 ๐Ÿ‘‹ Hospitality +58%
4 ๐Ÿ™‚ Support +50%
5 ๐Ÿ“ Blogging +47%
6 ๐Ÿค Community +47%
7 ๐Ÿ“ž Recruitment +35%
8 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +31%
9 ๐Ÿ‘จโ€๐Ÿซ Education +30%
10 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law +21%
11 ๐Ÿ‘Š Coach +21%
12 ๐Ÿ˜ Marketing +9%
13 ๐Ÿ“ธ Model +5%
n=12,670


How do nomads describe themselves?

โ˜•๏ธ Coffee

โ›ฐ Outdoors

๐Ÿ™‚ Optimist

๐Ÿ“– Reading

๐Ÿฅพ Hiking

๐Ÿถ Dogs

n=12,670

๐Ÿ‘จโ€ Nomad men

# Tag % vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 โ˜•๏ธ Coffee 38% +20%
2 ๐Ÿ™‚ Optimist 28% +21%
3 โ›ฐ Outdoors 28% +4%
4 ๐Ÿฅพ Hiking 27% +7%
5 ๐Ÿ“– Reading 26% +2%
6 ๐Ÿบ Beer 26% +102%
7 ๐ŸŒ™ Staying up late 26% +39%
8 ๐Ÿถ Dogs 26% =
9 โ˜€๏ธ Waking up early 26% +16%
10 ๐Ÿ’ช Fitness 24% +32%
11 ๐Ÿ‘‰ Right handed 24% +48%
12 ๐Ÿท Wine 24% -7%
13 ๐Ÿฅฉ Eating meat 23% +66%
14 ๐ŸŽž Movies 22% +21%
15 ๐Ÿต Tea 22% -7%
n=10,111

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women

# Tag % vs. ๐Ÿ‘จโ€
1 โ˜•๏ธ Coffee 31% -17%
2 โ›ฐ Outdoors 27% -4%
3 ๐Ÿ“– Reading 26% -2%
4 ๐Ÿท Wine 26% +8%
5 ๐Ÿถ Dogs 26% 0%
6 ๐Ÿฅพ Hiking 25% -7%
7 ๐Ÿต Tea 24% +7%
8 ๐Ÿคธโ€โ™€๏ธ Yoga 23% +89%
9 ๐Ÿ™‚ Optimist 23% -18%
10 โ›ฑ Beach 22% +11%
11 โ˜€๏ธ Waking up early 22% -14%
12 ๐Ÿธ Cocktails 20% +5%
13 โœ๏ธ Writing 19% +52%
14 ๐ŸŒฏ Mexican food 19% -7%
15 ๐ŸŒ™ Staying up late 19% -28%
n=2,547

๐Ÿ‘จ Nomad men vs. women

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 โšฝ๏ธ Football +336%
2 ๐Ÿง‘โ€ Short hair +196%
3 ๐Ÿ‚ Skateboarding +174%
4 ๐ŸŽ Race sports +172%
5 ๐Ÿ‹๏ธโ€ Weightlifting +166%
6 ๐Ÿ Motorcycling +163%
7 ๐Ÿ’ช Fight sports +157%
8 โ›ณ๏ธ Golf +148%
9 โœ‹๐Ÿฝ Indian +147%
10 ๐Ÿ‘พ Gaming +144%
11 ๐Ÿ‘ด Conservative politics +138%
12 ๐Ÿ‘จ No beard +138%
13 ๐ŸŽธ Metal music +134%
14 ๐Ÿ—ฝ Libertarian politics +133%
15 ๐Ÿ˜ˆ Kink +116%
n=12,670

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +394%
2 โœจ Astrology +262%
3 ๐Ÿ’ช Feminism +229%
4 ๐Ÿ‘— Dress up +208%
5 โœ‹๐Ÿฟ Black +127%
6 ๐Ÿ’ƒ Dancing +109%
7 ๐ŸŸฅ Red hair +98%
8 ๐Ÿ› Shopping +93%
9 ๐ŸŽจ Drawing +93%
10 ๐Ÿคธโ€โ™€๏ธ Yoga +89%
11 ๐ŸŸจ Blonde hair +84%
12 ๐ŸŒป Gardening +74%
13 ๐ŸŒ Third Culture Kid +62%
14 ๐Ÿ•บ Breakdance +61%
15 ๐ŸŽค Singing +60%
n=12,670

๐Ÿ’‰ Nomads by vaccination

Vaccinated %
๐Ÿ’‰ COVID vaccinated
97%
๐Ÿ’‰ Not COVID vaccinated
3%
n=1,381

โค๏ธ Nomads by family

Relationship %
โค๏ธ Close to parents
81%
๐Ÿ’” Not close to parents
19%
n=263

๐Ÿ‘ถ Nomads by childhood

Childhood %
๐Ÿ˜Š Happy childhood
88%
๐Ÿ˜” Unhappy childhood
12%
n=291

๐Ÿก Homeownership amongst nomads

Homeownership %
๐Ÿก Not a homeowner
54%
๐Ÿก Homeowner
46%
n=246


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).

๐ŸŸจ Blonde hair

๐Ÿณ๏ธโ€๐ŸŒˆ LGBT

๐Ÿ˜ In a relationship

๐Ÿง– Sauna

๐ŸŸซ Brown hair

๐Ÿง  Open-minded

n=12,670

๐Ÿ‘จโ€ Attractive men's traits

# Tag Diff
1 ๐ŸŸจ Blonde hair +1,018%
2 ๐Ÿ‡ณ๐Ÿ‡ฑ Speaks Dutch +411%
3 ๐Ÿง– Sauna +278%
4 ๐ŸŸซ Brown hair +272%
5 ๐Ÿ’† Massage +238%
6 ๐ŸŒŠ Free diving +222%
7 ๐Ÿง‘โ€ Short hair +222%
8 ๐Ÿ‡ต๐Ÿ‡น Speaks Portuguese +209%
9 ๐Ÿ’ฌ Telegram +195%
10 ๐Ÿง” Have a beard +189%
11 ๐Ÿ“ Table tennis +183%
12 ๐Ÿ€ Basketball +178%
13 ๐Ÿ‡ท๐Ÿ‡บ Speaks Russian +173%
14 ๐Ÿ’ฌ Whatsapp +164%
15 โค๏ธ Close to my parents +156%
16 ๐Ÿ‹๏ธโ€ Weightlifting +155%
17 ๐Ÿณ๏ธโ€๐ŸŒˆ LGBT +142%
18 ๐Ÿงน Tidy +141%
19 ๐Ÿคฒ Empathy +136%
20 ๐ŸŽง House music +136%
21 ๐Ÿ‡ซ๐Ÿ‡ท Speaks French +135%
22 โค๏ธ Happy childhood +134%
23 ๐ŸŽง Hiphop music +134%
24 ๐Ÿง  Open-minded +133%
25 ๐Ÿก Not a homeowner +131%
26 ๐Ÿ˜ In a relationship +129%
27 ๐Ÿ‡ฉ๐Ÿ‡ช Speaks German +127%
28 ๐Ÿ’‰ COVID vaccinated +125%
29 ๐Ÿƒ Sustainability +125%
30 ๐ŸŽง Techno music +122%
n=12,670

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

# Tag Diff
1 ๐Ÿณ๏ธโ€๐ŸŒˆ LGBT +311%
2 ๐Ÿงผ Clean freak +183%
3 ๐Ÿ˜ In a relationship +179%
4 ๐Ÿƒ Running +172%
5 ๐Ÿ Motorcycling +171%
6 ๐ŸŽค Singing +153%
7 โœจ Astrology +151%
8 โ›ฐ Climbing +149%
9 ๐Ÿ› Shopping +143%
10 ๐Ÿš Vanlife +139%
11 ๐Ÿง  Open-minded +134%
12 ๐Ÿšด Cycling +128%
13 ๐Ÿ 420 +124%
14 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English +117%
15 ๐ŸŒ™ Staying up late +116%
16 ๐ŸŠ Swimming +111%
17 ๐Ÿ‘ผ Youngest child +110%
18 ๐Ÿพ Drinking alcohol +108%
19 โ›ท Skiing +105%
20 ๐Ÿ‘พ Gaming +102%
21 โ›ฑ Beach +99%
22 ๐Ÿ‘จโ€๐ŸŽค Partying +96%
23 ๐Ÿ’ช Fitness +95%
24 ๐ŸŒŠ Diving +95%
25 ๐Ÿฅš Soft boiled eggs +94%
26 ๐Ÿบ Beer +91%
27 ๐Ÿ‘ถ Wants kids +89%
28 ๐Ÿ’ซ Not religious +88%
29 ๐Ÿธ Cocktails +88%
30 ๐Ÿ™ Spiritual +87%
n=12,670


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.

๐Ÿšฌ Daily smoker

๐Ÿชœ Nexstand

โšพ๏ธ Baseball

๐Ÿ‡ฏ๐Ÿ‡ต Speaks Japanese

๐Ÿ‘ด Conservative politics

๐Ÿ‡ฎ๐Ÿ‡ฉ Speaks Indonesian

n=12,670

๐Ÿ‘จโ€ Unattractive men's traits

# Tag Diff
1 ๐Ÿชœ Nexstand -641%
2 โšพ๏ธ Baseball -566%
3 ๐Ÿ‡ฏ๐Ÿ‡ต Speaks Japanese -492%
4 ๐Ÿšฌ Daily smoker -296%
5 ๐Ÿ‡ฎ๐Ÿ‡ฉ Speaks Indonesian -196%
6 ๐Ÿ“” Religious -70%
7 ๐Ÿ•บ Breakdance -52%
8 ๐Ÿ‘ด Conservative politics -48%
9 โœˆ๏ธ Private pilot -46%
10 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair -33%
11 ๐Ÿ’” Not close to my parents -33%
12 โฌ›๏ธ Black hair -32%
13 ๐Ÿ‘จโ€๐Ÿฆฒ Bald -26%
14 ๐Ÿ– Paleo -26%
15 ๐Ÿง Pessimist -23%
16 ๐Ÿ‘… Sex positive -19%
17 ๐Ÿ’ฌ LINE -15%
18 ๐Ÿ˜Ž Single -12%
19 ๐ŸŽธ Acoustic music -10%
20 ๐Ÿ› Shopping -9%
21 ๐Ÿ“บ Documentaries -9%
22 โ›ช๏ธ History -7%
23 ๐Ÿ™ Spiritual -6%
24 ๐Ÿ‘ฉโ€๐Ÿณ Cooking -5%
25 ๐ŸŽž Film making -4%
26 ๐Ÿณ๏ธโ€๐ŸŒˆ Progressive politics -4%
27 โ›”๏ธ Doesn't want kids -4%
28 ๐Ÿ 420 -4%
29 ๐ŸŽค Singing -3%
30 โ›ต๏ธ Sailing -1%
n=12,670

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

# Tag Diff
1 ๐Ÿ’ช Fight sports -2,074%
2 ๐Ÿ’ฅ Messy -1,287%
3 ๐Ÿช• Folk music -799%
4 ๐Ÿก Not a homeowner -575%
5 ๐Ÿšฌ Daily smoker -425%
6 ๐ŸŽธ Metal music -387%
7 ๐Ÿ‘ด Conservative politics -387%
8 ๐ŸŽธ Punk music -350%
9 ๐Ÿง‘โ€ Short hair -350%
10 ๐Ÿšœ Country music -350%
11 ๐Ÿ’” My parents separated -350%
12 ๐Ÿ Volleyball -275%
13 ๐ŸŒŠ Free diving -275%
14 ๐Ÿ– Carnivore -237%
15 ๐Ÿธ Badminton -237%
16 ๐Ÿคฒ Human rights -65%
17 ๐Ÿฅ› No alcohol -42%
18 ๐Ÿ‘… Sex positive -33%
19 ๐Ÿ‚ Skateboarding -16%
20 ๐Ÿ‚ Snowboarding -11%
21 โš–๏ธ Centrist politics -11%
22 ๐ŸŽ Race sports -9%
23 ๐Ÿฅ’ Vegetarian -4%
24 ๐Ÿ– Paleo -3%
n=12,670


Where do attractive people go?

๐Ÿ‘จโ€ Where attractive people travel to

# City Attractiveness
1 ๐Ÿ‡ช๐Ÿ‡ธ Seville 5
2 ๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum 4.9
3 ๐Ÿ‡บ๐Ÿ‡ธ Honolulu 4.8
4 ๐Ÿ‡ต๐Ÿ‡น Madeira 4.78
5 ๐Ÿ‡น๐Ÿ‡ท Antalya 4.72
6 ๐Ÿ‡ฒ๐Ÿ‡ฆ Marrakesh 4.71
7 ๐Ÿ‡ฉ๐Ÿ‡ฐ Copenhagen 4.65
8 ๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town 4.62
9 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud 4.62
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 4.59
11 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.59
12 ๐Ÿ‡จ๐Ÿ‡ญ Zurich 4.58
13 ๐Ÿ‡ฎ๐Ÿ‡น Milan 4.58
14 ๐Ÿ‡ซ๐Ÿ‡ท Lyon 4.57
15 ๐Ÿ‡ฒ๐Ÿ‡น Sliema 4.5
16 ๐Ÿ‡ต๐Ÿ‡น Lisbon 4.5
17 ๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik 4.5
18 ๐Ÿ‡จ๐Ÿ‡ฆ Montreal 4.5
19 ๐Ÿ‡ญ๐Ÿ‡ท Split 4.47
20 ๐Ÿ‡ฐ๐Ÿ‡ญ Siem Reap 4.45
21 ๐Ÿ‡ช๐Ÿ‡ธ Malaga 4.45
22 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 4.44
23 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 4.44
24 ๐Ÿ‡บ๐Ÿ‡ธ Los Angeles 4.41
25 ๐Ÿ‡ต๐Ÿ‡น Porto 4.39
26 ๐Ÿ‡จ๐Ÿ‡ฆ Vancouver 4.38
27 ๐Ÿ‡ป๐Ÿ‡ณ Hoi An 4.36
28 ๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik 4.36
29 ๐Ÿ‡ฌ๐Ÿ‡ท Athens 4.36
30 ๐Ÿ‡จ๐Ÿ‡ญ Geneva 4.36
Based on attractiveness of visitors n=160,405

๐Ÿ‘จโ€ Where attractive men travel to

# City Attractiveness
1 ๐Ÿ‡ช๐Ÿ‡ธ Seville 5
2 ๐Ÿ‡ฒ๐Ÿ‡ฆ Marrakesh 5
3 ๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum 4.95
4 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud 4.64
5 ๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan 4.58
6 ๐Ÿ‡ซ๐Ÿ‡ท Nice 4.58
7 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 4.58
8 ๐Ÿ‡จ๐Ÿ‡ญ Geneva 4.58
9 ๐Ÿ‡ซ๐Ÿ‡ท Lyon 4.58
10 ๐Ÿ‡บ๐Ÿ‡ธ Honolulu 4.58
11 ๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik 4.58
12 ๐Ÿ‡น๐Ÿ‡ท Antalya 4.58
13 ๐Ÿ‡ฎ๐Ÿ‡น Milan 4.58
14 ๐Ÿ‡ต๐Ÿ‡น Madeira 4.58
15 ๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Vallarta 4.58
16 ๐Ÿ‡ต๐Ÿ‡น Lisbon 4.58
17 ๐Ÿ‡ป๐Ÿ‡ณ Hoi An 4.58
18 ๐Ÿ‡ฎ๐Ÿ‡ฉ Seminyak 4.58
19 ๐Ÿ‡จ๐Ÿ‡บ Havana 4.58
20 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.58
21 ๐Ÿ‡บ๐Ÿ‡ธ Los Angeles 4.58
22 ๐Ÿ‡ฒ๐Ÿ‡พ Penang 4.58
23 ๐Ÿ‡จ๐Ÿ‡ฆ Montreal 4.58
24 ๐Ÿ‡จ๐Ÿ‡ญ Zurich 4.58
25 ๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town 4.58
26 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 4.58
27 ๐Ÿ‡น๐Ÿ‡ญ Krabi 4.58
28 ๐Ÿ‡ช๐Ÿ‡ธ Malaga 4.58
29 ๐Ÿ‡บ๐Ÿ‡ธ New Orleans 4.58
30 ๐Ÿ‡ต๐Ÿ‡น Porto 4.58
Based on attractiveness of visitors n=160,405

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

# City Attractiveness
1 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 5
2 ๐Ÿ‡ต๐Ÿ‡ฑ Warsaw 4.82
3 ๐Ÿ‡น๐Ÿ‡ญ Krabi 4.81
4 ๐Ÿ‡น๐Ÿ‡ญ Ko Samui 4.76
5 ๐Ÿ‡ฎ๐Ÿ‡ฑ Tel Aviv 4.74
6 ๐Ÿ‡ฑ๐Ÿ‡น Vilnius 4.72
7 ๐Ÿ‡ท๐Ÿ‡บ Moscow 4.7
8 ๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta 4.68
9 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 4.68
10 ๐Ÿ‡ญ๐Ÿ‡ท Split 4.67
11 ๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik 4.66
12 ๐Ÿ‡ธ๐Ÿ‡ช Stockholm 4.58
13 ๐Ÿ‡บ๐Ÿ‡ธ Orlando 4.58
14 ๐Ÿ‡ฎ๐Ÿ‡น Milan 4.55
15 ๐Ÿ‡ฆ๐Ÿ‡น Salzburg 4.54
16 ๐Ÿ‡ฑ๐Ÿ‡ป Riga 4.49
17 ๐Ÿ‡น๐Ÿ‡ท Antalya 4.49
18 ๐Ÿ‡ฒ๐Ÿ‡ฒ Yangon 4.49
19 ๐Ÿ‡ฌ๐Ÿ‡ท Santorini 4.49
20 ๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana 4.45
21 ๐Ÿ‡ป๐Ÿ‡ณ Da Nang 4.44
22 ๐Ÿ‡ช๐Ÿ‡ฌ Cairo 4.44
23 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 4.44
24 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 4.43
25 ๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town 4.43
26 ๐Ÿ‡ฒ๐Ÿ‡น Sliema 4.43
27 ๐Ÿ‡ท๐Ÿ‡ธ Belgrade 4.41
28 ๐Ÿ‡จ๐Ÿ‡ด Bogota 4.41
29 ๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg 4.4
30 ๐Ÿ‡ฉ๐Ÿ‡ฐ Copenhagen 4.4
Based on attractiveness of visitors n=160,405


And where do unattractive people go?

๐Ÿ‘จโ€ Where unattractive people travel to

# City Attractiveness
1 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.14
2 ๐Ÿ‡ต๐Ÿ‡ญ Cebu 3.72
3 ๐Ÿ‡ฎ๐Ÿ‡ณ Delhi 3.75
4 ๐Ÿ‡ต๐Ÿ‡ญ Manila 3.79
5 ๐Ÿ‡บ๐Ÿ‡ธ Portland 3.81
6 ๐Ÿ‡จ๐Ÿ‡ท San Josรฉ 3.81
7 ๐Ÿ‡ฏ๐Ÿ‡ต Osaka 3.85
8 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 3.85
9 ๐Ÿ‡ท๐Ÿ‡บ Moscow 3.9
10 ๐Ÿ‡ฏ๐Ÿ‡ต Kyoto 3.92
11 ๐Ÿ‡จ๐Ÿ‡ณ Beijing 3.94
12 ๐Ÿ‡ท๐Ÿ‡ด Bucharest 3.95
13 ๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana 3.97
14 ๐Ÿ‡ญ๐Ÿ‡ท Zagreb 4
15 ๐Ÿ‡ฐ๐Ÿ‡ท Seoul 4
16 ๐Ÿ‡ต๐Ÿ‡ฑ Krakรณw 4
17 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 4
18 ๐Ÿ‡ซ๐Ÿ‡ฎ Helsinki 4
19 ๐Ÿ‡บ๐Ÿ‡ธ Las Vegas 4
20 ๐Ÿ‡ธ๐Ÿ‡ช Stockholm 4
21 ๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg 4
22 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 4
23 ๐Ÿ‡ฉ๐Ÿ‡ช Hamburg 4
24 ๐Ÿ‡น๐Ÿ‡ผ Taipei 4
25 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 4
26 ๐Ÿ‡บ๐Ÿ‡ธ Washington 4
27 ๐Ÿ‡ธ๐Ÿ‡ฐ Bratislava 4
28 ๐Ÿ‡บ๐Ÿ‡ธ Orlando 4
29 ๐Ÿ‡ฑ๐Ÿ‡น Vilnius 4
30 ๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro 4
Based on unattractiveness of visitors n=160,405

๐Ÿ‘จโ€ Where unattractive men travel to

# City Attractiveness
1 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.06
2 ๐Ÿ‡ต๐Ÿ‡ญ Cebu 3.59
3 ๐Ÿ‡จ๐Ÿ‡ท San Josรฉ 3.75
4 ๐Ÿ‡ฎ๐Ÿ‡ณ Delhi 3.79
5 ๐Ÿ‡บ๐Ÿ‡ธ Houston 3.93
6 ๐Ÿ‡ท๐Ÿ‡ด Bucharest 3.93
7 ๐Ÿ‡ท๐Ÿ‡บ Moscow 3.93
8 ๐Ÿ‡ต๐Ÿ‡ญ Manila 3.97
9 ๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi 3.99
10 ๐Ÿ‡ฏ๐Ÿ‡ต Kyoto 3.99
11 ๐Ÿ‡ง๐Ÿ‡ฌ Sofia 3.99
12 ๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta 4.04
13 ๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca 4.04
14 ๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana 4.06
15 ๐Ÿ‡ง๐Ÿ‡ท Florianopolis 4.08
16 ๐Ÿ‡ฏ๐Ÿ‡ต Osaka 4.08
17 ๐Ÿ‡ท๐Ÿ‡ธ Belgrade 4.08
18 ๐Ÿ‡น๐Ÿ‡ผ Taipei 4.13
19 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 4.13
20 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 4.13
21 ๐Ÿ‡จ๐Ÿ‡ณ Beijing 4.13
22 ๐Ÿ‡ฑ๐Ÿ‡น Vilnius 4.13
23 ๐Ÿ‡บ๐Ÿ‡ธ Portland 4.13
24 ๐Ÿ‡ฉ๐Ÿ‡ช Munich 4.15
25 ๐Ÿ‡บ๐Ÿ‡ธ Las Vegas 4.15
26 ๐Ÿ‡ญ๐Ÿ‡ท Zagreb 4.17
27 ๐Ÿ‡บ๐Ÿ‡ธ Seattle 4.18
28 ๐Ÿ‡ฎ๐Ÿ‡น Naples 4.18
29 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 4.18
30 ๐Ÿ‡ช๐Ÿ‡ช Tallinn 4.18
Based on unattractiveness of visitors n=160,405

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

# City Attractiveness
1 ๐Ÿ‡บ๐Ÿ‡ธ Portland 3.41
2 ๐Ÿ‡บ๐Ÿ‡ธ New Orleans 3.43
3 ๐Ÿ‡บ๐Ÿ‡ธ Chicago 3.51
4 ๐Ÿ‡บ๐Ÿ‡ธ Houston 3.51
5 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 3.54
6 ๐Ÿ‡ซ๐Ÿ‡ท Marseille 3.56
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.58
8 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.58
9 ๐Ÿ‡ง๐Ÿ‡ฌ Sofia 3.59
10 ๐Ÿ‡ฌ๐Ÿ‡ง Manchester 3.61
11 ๐Ÿ‡บ๐Ÿ‡ธ Philadelphia 3.62
12 ๐Ÿ‡จ๐Ÿ‡ณ Beijing 3.66
13 ๐Ÿ‡บ๐Ÿ‡ธ Phoenix 3.68
14 ๐Ÿ‡ช๐Ÿ‡ธ Valencia 3.7
15 ๐Ÿ‡ช๐Ÿ‡ธ Gran Canaria 3.7
16 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.7
17 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.75
18 ๐Ÿ‡บ๐Ÿ‡ธ Salt Lake City 3.75
19 ๐Ÿ‡บ๐Ÿ‡ธ Washington 3.75
20 ๐Ÿ‡ฐ๐Ÿ‡ญ Siem Reap 3.77
21 ๐Ÿ‡ฎ๐Ÿ‡น Naples 3.81
22 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 3.81
23 ๐Ÿ‡ณ๐Ÿ‡ฟ Wellington 3.82
24 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.82
25 ๐Ÿ‡น๐Ÿ‡ญ Ko Lanta 3.82
26 ๐Ÿ‡ฏ๐Ÿ‡ต Kyoto 3.83
27 ๐Ÿ‡ฏ๐Ÿ‡ต Osaka 3.83
28 ๐Ÿ‡จ๐Ÿ‡ฆ Toronto 3.83
29 ๐Ÿ‡ป๐Ÿ‡ณ Hoi An 3.84
30 ๐Ÿ‡บ๐Ÿ‡ธ Denver 3.84
Based on unattractiveness of visitors n=160,405



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