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The 2024 State of Digital Nomads

Explore the world


Who is the average nomad in 2024?

๐Ÿ‘ถ 35-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‡ต๐Ÿ‡น loves
Portimรฃo most

๐Ÿ’‰ is vaccinated

๐Ÿƒ produces 74% less COโ‚‚

7๏ธโƒฃ and stays for
7 months

n=34,117


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, as long as you reference us as "Nomad List" (with space in between) and use our logo and link back on every data mention! Thanks!. If you like this, also see the live network graph of all travels on Nomad List and the fastest growing remote work hubs of 2024.

Last updated: 26 minutes ago

๐Ÿ‘ถ Nomads by age

Age %
19
0.2%
21
0.3%
22
0.2%
23
0.4%
24
1%
25
1%
26
1%
27
2%
28
2%
29
3%
30
4%
31
6%
32
7%
33
6%
34
6%
35
7%
36
6%
37
6%
38
5%
39
5%
40
4%
41
3%
42
3%
43
2%
44
2%
n=1,227

โ›ณ๏ธ Nomads by nationality

# Country People %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 37,481,906 45%
2 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 5,849,679 7%
3 ๐Ÿ‡ท๐Ÿ‡บ Russia 3,871,609 5%
4 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 3,817,508 5%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 3,185,201 4%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 2,711,817 3%
7 ๐Ÿ‡ง๐Ÿ‡ท Brazil 2,055,841 2%
8 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 1,954,402 2%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 1,474,254 2%
10 ๐Ÿ‡ช๐Ÿ‡ธ Spain 1,413,391 2%
11 ๐Ÿ‡ฎ๐Ÿ‡ณ India 1,224,037 1%
12 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine 1,105,691 1%
13 ๐Ÿ‡ฎ๐Ÿ‡น Italy 1,024,539 1%
14 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 963,676 1%
15 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 804,754 1%
16 ๐Ÿ‡ฆ๐Ÿ‡น Austria 655,976 1%
17 ๐Ÿ‡ธ๐Ÿ‡ช Sweden 561,299 1%
18 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland 537,629 1%
19 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 537,629 1%
20 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel 517,342 1%
21 ๐Ÿ‡น๐Ÿ‡ท Turkey 507,198 1%
22 ๐Ÿ‡ง๐Ÿ‡ช Belgium 463,241 1%
23 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 456,478 1%
24 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 429,427 1%
25 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 419,283 1%
26 ๐Ÿ‡ต๐Ÿ‡น Portugal 398,995 0%
27 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 395,614 0%
28 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 395,614 0%
29 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 385,470 0%
30 ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand 368,564 0%
n=24,559

๐Ÿ‘ถ Nomads by gender

Gender %
๐Ÿ‘จโ€ Men
86%
๐Ÿ‘ฑโ€โ™€๏ธ Women
14%
Last 30 days. n=105

๐Ÿ‘€ Nomads by sexuality

Sexuality %
๐Ÿ‘‹ Heterosexual
87%
๐Ÿฆ„ Bisexual
8%
๐Ÿณ๏ธโ€๐ŸŒˆ Gay or lesbian
5%
n=14,560

๐Ÿ™ Nomads by beliefs

Religion %
๐Ÿ’ซ Not religious
53%
๐Ÿ™ Spirituality
28%
โ›ช๏ธ Christianity
9%
๐Ÿ™ Buddhism
3%
โœจ Astrology
2%
๐Ÿ•Œ Islam
2%
๐Ÿ• Judaism
2%
๐Ÿ•‰ Hinduism
1%
๐Ÿ‘ณ Sikhism
0%
n=7,443

โœ‹ Nomads by ethnicity

Ethnicity %
โœ‹๐Ÿป White
59%
โœ‹๐Ÿพ Non-white
41%
โœ‹๐Ÿผ Asian
14%
โœ‹๐Ÿฝ Latin
12%
โœ‹๐Ÿฟ Black
7%
โœ‹๐Ÿฝ Indian
5%
โœ‹๐Ÿพ Middle Eastern
3%
โœ‹๐Ÿฝ Pacific
1%
n=6,649

๐ŸŽ“ Education

Education %
๐ŸšŒ High School
9%
๐ŸŽ“ Higher education
91%
๐Ÿ“œ Bachelor's
54%
๐ŸŽ“ Master's
34%
๐Ÿ‘ฉโ€๐Ÿซ PhD
3%
n=15,102

โค๏ธ Nomads by relationship

Relationship %
๐Ÿ˜Ž Single
66%
๐Ÿ˜ In a relationship
34%
n=8,131

๐Ÿ‘€ Nomads looking for

Looking for %
๐Ÿค Friends
35%
๐ŸŽ’ Travel buddies
32%
๐Ÿน Casual dating
15%
โค๏ธ Relationship
13%
๐Ÿ‘ Poly dating
4%
n=50,737

๐Ÿ’ฐ Nomads by income

Income %
< $25k / y
6%
$25k - $50k / y
15%
$50k - $100k / y
34%
$100k - $250k / y
35%
> $250k - $1M / y
8%
> $1M / y
2%
Average $123,815 / y
Median $85,000 / y
n=4,178

๐Ÿ’ฐ Nomads by employment

Employment type %
Full time
40%
Freelance
18%
Startup founder
17%
Full time contractor
9%
Agency
8%
Other
5%
Part time
2%
Part time contractor
1%
n=4,958


๐Ÿก Where do nomads work from

Place %
๐Ÿก Home office
59%
๐Ÿฌ Coworking
15%
โ˜•๏ธ Cafe
8%
๐Ÿข Office
6%
๐Ÿฝ Dining table
4%
๐Ÿ›‹ Couch
3%
๐Ÿ› Bed
2%
๐Ÿช‘ Balcony
1%
๐Ÿš Van
1%
๐Ÿ”ช Kitchen
0%
๐Ÿ’ฆ Pool
0%
๐Ÿชด Garden
0%
๐Ÿ›ฅ Boat
0%
๐Ÿ“š Library
0%
๐Ÿก En รงok รงalฤฑลŸtฤฑฤŸฤฑnฤฑz yeri seรงin
0%
n=3,945

๐Ÿ’ฌ What messaging apps nomads use?

Messaging app %
Telegram
47%
Whatsapp
44%
Twitter
5%
Facebook
2%
Snapchat
2%
LINE
0%
WeChat
0%
Slack
0%
n=4,579


โš–๏ธ Nomad men by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
47%
โš–๏ธ Non-progressive
53%
๐Ÿ—ฝ Libertarian
26%
โš–๏ธ Centrist
21%
๐Ÿ‘ด Conservative
6%
n=3,321

โš–๏ธ Nomad women by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
72%
โš–๏ธ Non-progressive
28%
๐Ÿ—ฝ Libertarian
13%
โš–๏ธ Centrist
12%
๐Ÿ‘ด Conservative
3%
n=784


What do nomads eat?

๐Ÿฅฉ 75% of ๐Ÿ‘จโ€ men eat meat

๐Ÿฅฉ 56% of ๐Ÿ‘ฑโ€โ™€๏ธwomen eat meat

๐Ÿšซ 38% of nomads don't eat meat

๐Ÿฅ’ 12% are vegetarian

๐Ÿฅ‘ 11% are vegan

๐ŸŸ 5% are pescetarian

n=6,833


๐Ÿ• Nomad men by diet

Diet %
๐Ÿฅฉ Eats meat
75%
๐Ÿšซ Does not eat meat
25%
๐Ÿฅ‘ Vegan
10%
๐Ÿฅ’ Vegetarian
10%
๐ŸŸ Pescetarian
4%
n=5,114

๐Ÿ• Nomad women by diet

Diet %
๐Ÿฅฉ Eats meat
56%
๐Ÿšซ Does not eat meat
44%
๐Ÿฅ’ Vegetarian
18%
๐Ÿฅ‘ Vegan
15%
๐ŸŸ Pescetarian
11%
n=1,174


How do nomads work out?

๐Ÿฅพ Hiking

๐Ÿ’ช Fitness

๐Ÿƒ Running

๐Ÿคธโ€โ™€๏ธ Yoga

๐ŸŠ Swimming

๐Ÿšด Cycling

n=13,194


๐Ÿ˜… Nomad men by sports

Sport %
๐Ÿฅพ Hiking
49%
๐Ÿ’ช Fitness
48%
๐Ÿƒ Running
29%
๐Ÿšด Cycling
25%
๐ŸŠ Swimming
24%
๐Ÿคธโ€โ™€๏ธ Yoga
21%
๐Ÿ„ Surfing
18%
โ›ฐ Climbing
16%
๐ŸŒŠ Diving
16%
๐Ÿ‚ Snowboarding
16%
โ›ท Skiing
16%
๐ŸŽพ Tennis
14%
๐Ÿ Motorcycling
13%
๐Ÿ’ช Fight sports
11%
๐Ÿ’ช Crossfit
9%
n=9,694

๐Ÿ˜… Nomad women by sports

Sport %
๐Ÿฅพ Hiking
52%
๐Ÿคธโ€โ™€๏ธ Yoga
45%
๐Ÿ’ช Fitness
39%
๐ŸŠ Swimming
24%
๐Ÿƒ Running
21%
๐Ÿšด Cycling
18%
๐ŸŒŠ Diving
15%
๐Ÿ„ Surfing
14%
โ›ฐ Climbing
13%
โ›ท Skiing
12%
๐ŸŽพ Tennis
10%
๐Ÿ‚ Snowboarding
9%
๐Ÿ’ช Crossfit
6%
๐Ÿ Motorcycling
5%
๐Ÿ’ช Fight sports
5%
n=2,418


Where do nomads like to go most?

๐Ÿ‡ต๐Ÿ‡น Portimรฃo

๐Ÿ‡บ๐Ÿ‡ธ Chicago

๐Ÿ‡บ๐Ÿ‡ฆ Odessa

๐Ÿ‡ฏ๐Ÿ‡ต Tokyo

๐Ÿ‡ช๐Ÿ‡ธ Valencia

๐Ÿ‡ฐ๐Ÿ‡ท Seoul

n=339,420


๐Ÿ˜ Most liked cities by men

# City Rating
1 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 4.58
2 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 4.58
3 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 4.55
4 ๐Ÿ‡ฐ๐Ÿ‡ท Seoul 4.55
5 ๐Ÿ‡ต๐Ÿ‡น Porto 4.55
6 ๐Ÿ‡ต๐Ÿ‡ฑ Warsaw 4.50
7 ๐Ÿ‡ช๐Ÿ‡ธ Valencia 4.44
8 ๐Ÿ‡ฌ๐Ÿ‡ท Athens 4.38
9 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 4.38
10 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 4.29
11 ๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town 4.29
12 ๐Ÿ‡ฒ๐Ÿ‡พ Penang 4.29
13 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 4.29
14 ๐Ÿ‡ฉ๐Ÿ‡ช Munich 4.29
15 ๐Ÿ‡จ๐Ÿ‡ฆ Montreal 4.29
n=4,811

๐Ÿ˜ Most liked cities by women

# City Rating
1 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 3.75
2 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin 3.75
3 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 3.75
4 ๐Ÿ‡ฉ๐Ÿ‡ช Munich 3.75
5 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 3.75
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen 3.00
n=4,811


๐ŸŒ† Most visited cities

# City % visited
1 ๐Ÿ‡ฌ๐Ÿ‡ง London 2.26%
2 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 2.04%
3 ๐Ÿ‡บ๐Ÿ‡ธ New York City 1.54%
4 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin 1.51%
5 ๐Ÿ‡ต๐Ÿ‡น Lisbon 1.5%
6 ๐Ÿ‡ซ๐Ÿ‡ท Paris 1.49%
7 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona 1.48%
8 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam 1.25%
9 ๐Ÿ‡บ๐Ÿ‡ธ San Francisco 1.18%
10 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 1.07%
11 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 1%
12 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 0.91%
13 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 0.9%
14 ๐Ÿ‡บ๐Ÿ‡ธ Los Angeles 0.87%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 0.85%
16 ๐Ÿ‡น๐Ÿ‡ท Istanbul 0.85%
17 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 0.81%
18 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 0.81%
19 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 0.78%
20 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 0.73%
21 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 0.71%
22 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires 0.67%
23 ๐Ÿ‡จ๐Ÿ‡ด Medellรญn 0.64%
24 ๐Ÿ‡ท๐Ÿ‡บ Moscow 0.62%
25 ๐Ÿ‡ฎ๐Ÿ‡น Rome 0.59%
26 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 0.58%
27 ๐Ÿ‡ป๐Ÿ‡ณ Ho Chi Minh City 0.53%
28 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud 0.53%
29 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong 0.53%
30 ๐Ÿ‡น๐Ÿ‡ญ Phuket 0.52%
n=339,420

๐ŸŒŽ Most visited countries

# Country % visited
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 14%
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 3%
8 ๐Ÿ‡ฎ๐Ÿ‡น Italy 3%
9 ๐Ÿ‡ต๐Ÿ‡น Portugal 3%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Indonesia 2%
11 ๐Ÿ‡ง๐Ÿ‡ท Brazil 2%
12 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 2%
13 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 2%
14 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 2%
15 ๐Ÿ‡ป๐Ÿ‡ณ Vietnam 2%
16 ๐Ÿ‡ท๐Ÿ‡บ Russia 2%
17 ๐Ÿ‡จ๐Ÿ‡ด Colombia 1%
18 ๐Ÿ‡น๐Ÿ‡ท Turkey 1%
19 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 1%
20 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1%
21 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia 1%
22 ๐Ÿ‡ฎ๐Ÿ‡ณ India 1%
23 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 1%
24 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 1%
25 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 1%
26 ๐Ÿ‡ฆ๐Ÿ‡น Austria 1%
27 ๐Ÿ‡ญ๐Ÿ‡ท Croatia 1%
28 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 1%
n=339,420

๐Ÿƒ Avg. COโ‚‚ by member traveling

Year COโ‚‚
2013
679 kg/y
2014
1,011 kg/y
2015
1,097 kg/y
2016
1,317 kg/y
2017
1,505 kg/y
2018
1,601 kg/y
2019
1,634 kg/y
2020
1,015 kg/y
2021
1,018 kg/y
2022
1,633 kg/y
2023
1,781 kg/y
2024
2,285 kg/y
Average 1,294 kg/y
Median 1,277 kg/y
Based on 339,420 trips by 13,608 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 1,277 kg/y, or 74% less COโ‚‚ than the average American on travel and commuting.


๐Ÿ‘จ Where men go most

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿ‡น๐Ÿ‡ญ Bangkok +23%
2 ๐Ÿ‡ต๐Ÿ‡น Lisbon -14%
3 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona -10%
4 ๐Ÿ‡ฌ๐Ÿ‡ง London -21%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris -18%
6 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin -1%
7 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam +5%
8 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai -3%
9 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu +3%
10 ๐Ÿ‡น๐Ÿ‡ท Istanbul +8%
11 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore +12%
12 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City -22%
13 ๐Ÿ‡ญ๐Ÿ‡บ Budapest +16%
14 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo +13%
15 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur +24%
median temp=18°C; n=339,420

๐Ÿ‘ฑโ€โ™€๏ธ Where women go most

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‡ต๐Ÿ‡น Lisbon +17%
2 ๐Ÿ‡ฌ๐Ÿ‡ง London +26%
3 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona +12%
4 ๐Ÿ‡ซ๐Ÿ‡ท Paris +22%
5 ๐Ÿ‡น๐Ÿ‡ญ Bangkok -19%
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City +28%
7 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin +1%
8 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai +3%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam -5%
10 ๐Ÿ‡ฎ๐Ÿ‡น Rome +23%
11 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu -3%
12 ๐Ÿ‡น๐Ÿ‡ท Istanbul -7%
13 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud +27%
14 ๐Ÿ‡บ๐Ÿ‡ธ New York City +8%
15 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore -11%
median temp=18°C; n=339,420


๐Ÿ‘จ Where men go more

# Tag vs. women
1 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine +99%
2 ๐Ÿ‡ท๐Ÿ‡บ Russia +72%
3 ๐Ÿ‡ต๐Ÿ‡ฑ Poland +71%
4 ๐Ÿ‡ท๐Ÿ‡ด Romania +59%
5 ๐Ÿ‡ฌ๐Ÿ‡ช Georgia +44%
6 ๐Ÿ‡ท๐Ÿ‡ธ Serbia +36%
7 ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand +28%
8 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong +28%
9 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates +23%
10 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia +23%
11 ๐Ÿ‡ฆ๐Ÿ‡น Austria +20%
12 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia +19%
13 ๐Ÿ‡ญ๐Ÿ‡บ Hungary +17%
14 ๐Ÿ‡ต๐Ÿ‡ญ Philippines +17%
15 ๐Ÿ‡ณ๐Ÿ‡ด Norway +17%
median temp=12.5°C; n=339,420

๐Ÿ‘ฑโ€โ™€๏ธ Where women go more

# Tag vs. men
1 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa +49%
2 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica +44%
3 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico +41%
4 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom +27%
5 ๐Ÿ‡จ๐Ÿ‡ฑ Chile +23%
6 ๐Ÿ‡ญ๐Ÿ‡ท Croatia +19%
7 ๐Ÿ‡ฎ๐Ÿ‡น Italy +18%
8 ๐Ÿ‡ซ๐Ÿ‡ท France +18%
9 ๐Ÿ‡ฌ๐Ÿ‡ท Greece +14%
10 ๐Ÿ‡ต๐Ÿ‡ช Peru +11%
11 ๐Ÿ‡ต๐Ÿ‡น Portugal +9%
12 ๐Ÿ‡ฆ๐Ÿ‡บ Australia +9%
13 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina +8%
14 ๐Ÿ‡ช๐Ÿ‡ธ Spain +8%
15 ๐Ÿ‡บ๐Ÿ‡ธ United States +6%
median temp=18°C; n=339,420


๐Ÿ˜ Most liked countries

# Country Rating
1 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 4.75
2 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 4.7
3 ๐Ÿ‡ญ๐Ÿ‡บ Hungary 4.65
4 ๐Ÿ‡ญ๐Ÿ‡ท Croatia 4.65
5 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 4.4
6 ๐Ÿ‡บ๐Ÿ‡พ Uruguay 4.4
7 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia 4.25
8 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 4.25
9 ๐Ÿ‡ช๐Ÿ‡ฌ Egypt 4.25
10 ๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark 4.15
11 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 4.15
12 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland 4.15
13 ๐Ÿ‡ต๐Ÿ‡ฆ Panama 4.15
14 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 4
15 ๐Ÿ‡ท๐Ÿ‡ด Romania 4
n=2,061

๐Ÿคฎ Least liked countries

# Country Rating
1 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel 1.65
2 ๐Ÿ‡ฎ๐Ÿ‡ท Iran 1.65
3 ๐Ÿ‡ฒ๐Ÿ‡ฉ Moldova 1.65
4 ๐Ÿ‡ญ๐Ÿ‡ณ Honduras 1.65
5 ๐Ÿด Kurdistan 1.65
6 ๐Ÿ‡จ๐Ÿ‡ฑ Chile 2
7 ๐Ÿ‡ฑ๐Ÿ‡ฐ Sri Lanka 2
8 ๐Ÿ‡ฑ๐Ÿ‡ฆ Laos 2.2
9 ๐Ÿ‡ธ๐Ÿ‡ด Somalia 2.5
10 ๐Ÿ‡ถ๐Ÿ‡ฆ Qatar 2.5
11 ๐Ÿ‡ฐ๐Ÿ‡ช Kenya 2.5
12 ๐Ÿ‡ฌ๐Ÿ‡ฎ Gibraltar 2.5
13 ๐Ÿ‡ฐ๐Ÿ‡ต North Korea 2.5
14 ๐Ÿ‡ป๐Ÿ‡ช Venezuela 2.5
15 ๐Ÿ‡ธ๐Ÿ‡ณ Senegal 2.5
n=2,061


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

Duration %
< 7 days
46%
7 - 30 days
33%
30 - 90 days
14%
90+ days
6%
Average 64 days (2 months)
Median 7 days
n=330,490

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

Duration %
< 7 days
0%
7 - 30 days
57%
30 - 90 days
29%
90+ days
14%
Average 202 days (7 months)
n=330,490





What do nomads do for work?

๐Ÿ’ป Software Dev

๐Ÿ“‡ Startup Founder

๐Ÿ•ธ Web Dev

๐Ÿ˜ Marketing

๐Ÿ‘ฉโ€๐ŸŽจ Creative

๐Ÿ“Š SaaS

n=23,255


๐Ÿ‘จ Nomad men work as

# Work % vs. women
1 ๐Ÿ’ป Software Dev 34% +243%
2 ๐Ÿ•ธ Web Dev 28% +261%
3 ๐Ÿ“‡ Startup Founder 27% +136%
4 ๐Ÿ˜ Marketing 15% +1%
5 ๐Ÿ“Š SaaS 13% +196%
6 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 12% -17%
7 ๐ŸŽจ UI/UX Design 11% +39%
8 ๐Ÿค  Product Manager 11% +71%
9 ๐Ÿ’ฐ Crypto 11% +260%
10 ๐Ÿ“ˆ Data 11% +106%
11 ๐Ÿ“ฑ Mobile Dev 11% +345%
12 ๐Ÿ’ฐ Finance 10% +130%
13 ๐Ÿ›’ Ecommerce 9% +103%
14 ๐Ÿค‘ Sales 7% +81%
15 ๐Ÿ‘จโ€๐Ÿซ Education 6% -9%
n=18,653

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women work as

# Work % vs. men
1 ๐Ÿ˜ Marketing 15% -1%
2 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 15% +21%
3 ๐Ÿ“‡ Startup Founder 11% -58%
4 ๐Ÿ’ป Software Dev 10% -71%
5 ๐ŸŽจ UI/UX Design 8% -28%
6 ๐Ÿ•ธ Web Dev 8% -72%
7 ๐Ÿ“ Blogging 8% +20%
8 ๐Ÿค Community 7% +23%
9 ๐Ÿ‘จโ€๐Ÿซ Education 7% +10%
10 ๐Ÿ‘Š Coach 7% +23%
11 ๐Ÿค  Product Manager 7% -41%
12 ๐Ÿ“ˆ Data 5% -52%
13 ๐Ÿ“Š SaaS 4% -66%
14 ๐Ÿ’ฐ Finance 4% -57%
15 ๐Ÿ›’ Ecommerce 4% -51%
n=5,699


๐Ÿ‘จ Nomad men vs. women

# Tag vs. women
1 ๐Ÿ‘พ Game Dev +354%
2 ๐Ÿ“ฑ Mobile Dev +345%
3 ๐Ÿ—ƒ Dev Ops +318%
4 ๐Ÿ“ก Sysadmin +303%
5 ๐Ÿ•ธ Web Dev +261%
6 ๐Ÿ’ฐ Crypto +260%
7 ๐Ÿ’ป Software Dev +243%
8 ๐Ÿ“Š SaaS +196%
9 ๐Ÿ˜Ž VR Dev +153%
10 ๐Ÿƒ Sports +144%
11 ๐Ÿ—บ Geo +140%
12 ๐Ÿ“‡ Startup Founder +136%
13 ๐Ÿ’ฐ Finance +130%
14 ๐Ÿ“ˆ Data +106%
15 ๐Ÿ›’ Ecommerce +103%
n=23,255

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. men
1 ๐Ÿง‘โ€๐Ÿ’ผ Human resources +71%
2 ๐Ÿง  Psychologist +54%
3 ๐Ÿ“ฐ Journalism +49%
4 ๐Ÿ‘จโ€โš•๏ธ Medical +37%
5 ๐Ÿ™‚ Support +29%
6 ๐Ÿ‘Š Coach +23%
7 ๐Ÿค Community +23%
8 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +21%
9 ๐Ÿ‘‹ Hospitality +21%
10 ๐Ÿ“ Blogging +20%
11 ๐Ÿ“ž Recruitment +15%
12 ๐Ÿ“ธ Model +11%
13 ๐Ÿ‘จโ€๐Ÿซ Education +10%
14 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law +10%
n=23,255


How do nomads describe themselves?

โ˜•๏ธ Coffee

๐Ÿ™‚ Optimist

๐Ÿ‡ฌ๐Ÿ‡ง Speaks English

โ›ฐ Outdoors

๐Ÿ’‰ COVID vaccinated

๐Ÿถ Dogs

n=23,255


๐Ÿ‘จโ€ Nomad men

# Tag % vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 โ˜•๏ธ Coffee 39% +29%
2 ๐Ÿ™‚ Optimist 31% +32%
3 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 30% +23%
4 ๐Ÿ’‰ COVID vaccinated 28% +20%
5 โ›ฐ Outdoors 27% +8%
6 ๐Ÿฅพ Hiking 26% +17%
7 ๐Ÿ’ช Fitness 26% +52%
8 ๐Ÿถ Dogs 26% +9%
9 ๐Ÿบ Beer 25% +125%
10 โ˜€๏ธ Waking up early 25% +29%
11 ๐ŸŒ™ Staying up late 25% +54%
12 ๐Ÿง  Open-minded 24% +22%
13 ๐Ÿ“– Reading 24% +12%
14 ๐Ÿท Wine 23% +1%
15 ๐Ÿ˜Ž Single 23% +35%
n=18,653

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women

# Tag % vs. ๐Ÿ‘จโ€
1 โ˜•๏ธ Coffee 31% -22%
2 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 25% -18%
3 โ›ฐ Outdoors 25% -8%
4 ๐Ÿถ Dogs 24% -9%
5 ๐Ÿ™‚ Optimist 24% -24%
6 ๐Ÿท Wine 23% -1%
7 ๐Ÿ’‰ COVID vaccinated 23% -17%
8 ๐Ÿฅพ Hiking 22% -15%
9 ๐Ÿ“– Reading 21% -10%
10 ๐Ÿต Tea 21% -1%
11 ๐Ÿง  Open-minded 20% -18%
12 ๐Ÿคธโ€โ™€๏ธ Yoga 19% +70%
13 โ˜€๏ธ Waking up early 19% -22%
14 โ›ฑ Beach 18% +6%
15 ๐Ÿธ Cocktails 17% -7%
n=5,699


๐Ÿ‘จ Nomad men vs. women

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿง” Have a beard +1,241%
2 ๐Ÿชœ Roost Stand +375%
3 ๐Ÿ‘จ No beard +341%
4 โšฝ๏ธ Football +338%
5 ๐Ÿง‘โ€ Short hair +264%
6 ๐Ÿ’ Ice hockey +259%
7 ๐ŸŽ Race sports +225%
8 ๐Ÿ Motorcycling +215%
9 ๐ŸŽง Hardstyle music +213%
10 ๐Ÿ‘ด Conservative politics +212%
11 ๐Ÿช‚ Dropout +207%
12 ๐Ÿ€ Basketball +189%
13 ๐Ÿ“ Table tennis +187%
14 ๐Ÿ‘พ Gaming +174%
15 ๐Ÿ‚ Skateboarding +172%
n=23,255

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ’„ Makeup +2,911%
2 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +279%
3 ๐Ÿ‘— Dress up +234%
4 โœจ Astrology +227%
5 โœจ Believe in astrology +224%
6 ๐Ÿ’ช Feminism +190%
7 ๐Ÿฆพ Disabled +112%
8 ๐ŸŽจ Drawing +99%
9 ๐ŸŸฅ Red hair +90%
10 ๐Ÿ‡ฐ๐Ÿ‡ท K-pop music +89%
11 ๐Ÿ’ƒ Dancing +88%
12 ๐Ÿ› Shopping +76%
13 ๐Ÿคธโ€โ™€๏ธ Yoga +70%
14 ๐ŸŒป Gardening +69%
15 โœ‹๐Ÿฟ Black +66%
n=23,255




๐Ÿ’‰ Nomads by vaccination

Vaccinated %
๐Ÿ’‰ COVID vaccinated
94%
๐Ÿ’‰ Not COVID vaccinated
6%
n=7,220

โค๏ธ Nomads by family

Relationship %
โค๏ธ Close to parents
81%
๐Ÿ’” Not close to parents
19%
n=1,853

๐Ÿ‘ถ Nomads by childhood

Childhood %
๐Ÿ˜Š Happy childhood
89%
๐Ÿ˜” Unhappy childhood
11%
n=2,002

๐Ÿก Homeownership amongst nomads

Homeownership %
๐Ÿก Homeowner
54%
๐Ÿก Not a homeowner
46%
n=2,157


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’” My parents separated

๐Ÿ“ Table tennis

๐Ÿ Volleyball

๐Ÿณ๏ธโ€๐ŸŒˆ LGBT

๐Ÿ˜ In a relationship

๐Ÿง’ Only child

n=23,255


๐Ÿ‘จโ€ Attractive men's traits

# Tag Diff
1 ๐Ÿธ Padel +215%
2 ๐Ÿ˜ In a relationship +129%
3 ๐Ÿ’‰ Not COVID vaccinated +82%
4 ๐Ÿ€ Basketball +77%
5 โœจ Believe in astrology +74%
6 ๐Ÿ’ Ice hockey +71%
7 ๐Ÿ’ฌ Twitter +68%
8 ๐ŸŒŠ Free diving +67%
9 ๐Ÿก Homeowner +66%
10 ๐Ÿง‘โ€ Short hair +63%
11 ๐ŸŽง Hiphop music +56%
12 ๐Ÿ‘ถ Parent +55%
13 ๐Ÿ Volleyball +55%
14 ๐ŸŽง Dubstep music +53%
15 โ™Ÿ๏ธ Chess +50%
16 ๐Ÿงผ Clean freak +49%
17 ๐Ÿก Not a homeowner +49%
18 ๐Ÿฅš Soft boiled eggs +49%
19 ๐Ÿง Pessimist +47%
20 ๐Ÿ iPhone +46%
21 โค๏ธ Happy childhood +46%
22 ๐Ÿ“ Table tennis +43%
23 ๐ŸŽง Hardstyle music +41%
24 ๐Ÿ‰ Rugby +41%
25 ๐ŸŽง House music +40%
26 ๐ŸŽ Kitesurfing +39%
27 ๐Ÿ‹๏ธโ€ Weightlifting +38%
28 โค๏ธ Close to my parents +37%
29 ๐Ÿ Reggae music +36%
30 โ›ฐ Climbing +34%
n=23,255

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

# Tag Diff
1 ๐Ÿ’” My parents separated +329%
2 ๐Ÿณ๏ธโ€๐ŸŒˆ LGBT +282%
3 ๐Ÿ“ Table tennis +281%
4 ๐Ÿ› Shopping +240%
5 ๐Ÿง’ Only child +235%
6 ๐Ÿ Volleyball +234%
7 ๐Ÿƒ Running +214%
8 ๐ŸŽธ Punk music +203%
9 ๐Ÿ’„ Makeup +201%
10 ๐Ÿ—ฝ Libertarian politics +190%
11 ๐Ÿงผ Clean freak +176%
12 ๐Ÿ‘จโ€๐ŸŽค Partying +156%
13 ๐Ÿ Motorcycling +153%
14 ๐Ÿ‘— Dress up +148%
15 ๐Ÿšฌ Social smoker +145%
16 โ›ท Skiing +139%
17 ๐ŸŽท Blues music +139%
18 ๐Ÿ˜ In a relationship +138%
19 ๐Ÿ„ Surfing +135%
20 โœจ Astrology +132%
21 ๐Ÿบ Beer +131%
22 ๐ŸŸ Pescetarian +128%
23 ๐Ÿšด Cycling +126%
24 ๐Ÿ’ช Fitness +126%
25 ๐Ÿš Vanlife +124%
26 ๐ŸŽธ Indie rock music +120%
27 ๐Ÿพ Drinking alcohol +120%
28 ๐ŸŽท Jazz music +119%
29 ๐ŸŠ Swimming +118%
30 ๐ŸŽž Film making +117%
n=23,255


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˜ˆ FetLife

๐Ÿช‚ Paragliding

๐Ÿ’„ Makeup

๐ŸŽญ Swinging

๐ŸŒธ Anime

๐Ÿชœ Nexstand

n=23,255


๐Ÿ‘จโ€ Unattractive men's traits

# Tag Diff
1 ๐Ÿ˜ˆ FetLife -1,059%
2 ๐Ÿ’„ Makeup -569%
3 ๐ŸŽญ Swinging -524%
4 ๐Ÿชœ Nexstand -225%
5 ๐ŸŽณ Bowling -111%
6 ๐Ÿš Urbex -91%
7 ๐Ÿช‚ Skydiving -81%
8 ๐Ÿ˜Ž Single -72%
9 ๐ŸŽง Trance music -69%
10 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -69%
11 ๐Ÿฉ Samoyeds -58%
12 ๐ŸŒป Gardening -57%
13 ๐Ÿ’ช Feminism -52%
14 ๐Ÿ– Paleo -51%
15 ๐Ÿ˜ˆ Kink -50%
16 ๐Ÿ‘… Sex positive -47%
17 ๐Ÿณ๏ธโ€๐ŸŒˆ Progressive politics -38%
18 ๐Ÿฅš Hard boiled eggs -30%
19 ๐Ÿช‚ Paragliding -29%
20 ๐Ÿ™ Buddhist -28%
21 ๐ŸŒ Third Culture Kid -25%
22 โ›”๏ธ Doesn't want kids -24%
23 โœˆ๏ธ Private pilot -23%
24 ๐ŸŽž Film making -23%
25 ๐Ÿ’” Unhappy childhood -23%
26 ๐Ÿ•บ Breakdance -23%
27 ๐ŸŽค Singing -21%
28 ๐Ÿ‘ Field hockey -20%
29 ๐Ÿชœ Roost Stand -20%
30 ๐Ÿ Cricket -19%
n=23,255

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

# Tag Diff
1 ๐Ÿ’ฅ Messy -1,741%
2 ๐Ÿช‚ Paragliding -1,015%
3 ๐Ÿ‘ด Conservative politics -418%
4 ๐Ÿ’ฌ Discord -393%
5 ๐ŸŒธ Anime -289%
6 ๐Ÿ‡ฐ๐Ÿ‡ท K-pop music -185%
7 ๐Ÿชœ Roost Stand -133%
8 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -133%
9 ๐Ÿ’ฌ Snapchat -133%
10 ๐Ÿ˜ˆ Kink -102%
11 ๐Ÿธ Badminton -97%
12 ๐Ÿ– Carnivore -57%
13 โœจ Believe in astrology -40%
14 ๐Ÿšœ Country music -23%
15 ๐Ÿก Not a homeowner -19%
16 ๐Ÿ’ฌ Facebook -18%
17 ๐ŸŽ Kitesurfing -17%
18 ๐Ÿ‘ถ Parent -15%
19 ๐Ÿ˜ณ Introvert -11%
20 โค๏ธ Happy childhood -8%
21 ๐ŸŽง Garage music -6%
22 ๐Ÿ’ช Fight sports -5%
23 ๐Ÿ– Paleo -4%
n=23,255


What are the jobs 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 jobs. It's that people who are rated as attractive are more likely to work in speciifc industries. TL;DR hot people work in specific industries, but those specific industries don't necessarily make you hot (you could always try though).

๐Ÿก Architecture

๐Ÿ“Š SaaS

๐Ÿ“ฑ Mobile Dev

๐Ÿค Community

๐ŸŽจ UI/UX Design

๐Ÿ’ช Fitness

n=23,255


๐Ÿ‘จโ€ Attractive men's jobs

# Tag Diff
1 ๐Ÿ‘จโ€โš•๏ธ Medical +53%
2 ๐ŸŽจ UI/UX Design +42%
3 ๐Ÿ“Š SaaS +36%
4 ๐Ÿ“ž Recruitment +34%
5 ๐Ÿ‘พ Game Dev +29%
6 ๐Ÿค  Product Manager +28%
7 ๐Ÿ“ฑ Mobile Dev +27%
8 ๐Ÿ›’ Ecommerce +22%
9 ๐Ÿ“‡ Startup Founder +21%
10 ๐Ÿค‘ Sales +20%
11 ๐Ÿ˜ Marketing +19%
12 ๐Ÿ‘Š Coach +16%
13 ๐Ÿ—ƒ Dev Ops +15%
14 ๐Ÿšš Logistics +14%
15 ๐Ÿ˜Ž VR Dev +14%
16 ๐Ÿ’ป Software Dev +13%
17 ๐Ÿ’ช Fitness +12%
18 ๐Ÿ“ˆ Data +9%
19 ๐Ÿ•ธ Web Dev +9%
20 ๐Ÿ’ฐ Finance +6%
21 ๐Ÿค Community +6%
22 ๐Ÿ’ฐ Crypto +5%
n=23,255

๐Ÿ‘ฑโ€โ™€๏ธ Attractive women's jobs

# Tag Diff
1 ๐Ÿก Architecture +374%
2 ๐Ÿค Community +130%
3 ๐Ÿ“ฑ Mobile Dev +111%
4 ๐Ÿ“Š SaaS +108%
5 ๐Ÿ’ช Fitness +106%
6 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +100%
7 ๐Ÿ“ Blogging +89%
8 ๐ŸŽจ UI/UX Design +83%
9 ๐Ÿ“‡ Startup Founder +79%
10 ๐Ÿค‘ Sales +75%
11 ๐Ÿค  Product Manager +74%
12 ๐Ÿ›’ Ecommerce +65%
13 ๐Ÿ‘Š Coach +57%
14 ๐Ÿ˜ Marketing +57%
15 ๐Ÿ‘จโ€๐Ÿซ Education +50%
16 ๐Ÿ’ฐ Finance +30%
17 ๐Ÿ’ป Software Dev +28%
18 ๐Ÿ•ธ Web Dev +9%
n=23,255


And unattractive jobs?

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 jobs. It's that people who are rated as unattractive are more likely to have selected these jobs on their profile. TL;DR unattractive people have specific jobs, but those specific jobs don't necessarily make you unattractive.

๐Ÿšฉ Politics

๐Ÿ‘‹ Hospitality

๐Ÿ“ฐ Journalism

๐Ÿ‘ฉโ€๐Ÿ’ผ Law

๐Ÿง‘โ€๐Ÿ’ผ Human resources

๐Ÿ“ธ Model

n=23,255


๐Ÿ‘จโ€ Unattractive men's jobs

# Tag Diff
1 ๐Ÿšฉ Politics -457%
2 ๐Ÿ“ฐ Journalism -71%
3 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law -64%
4 ๐Ÿง‘โ€๐Ÿ’ผ Human resources -55%
5 ๐Ÿ“ธ Model -54%
6 ๐ŸŒถ Adult -40%
7 ๐Ÿ‘‹ Hospitality -36%
8 ๐Ÿก Architecture -27%
9 ๐Ÿ™‚ Support -20%
10 ๐Ÿ“ก Sysadmin -16%
11 ๐Ÿ—บ Geo -7%
12 ๐Ÿ‘ฉโ€๐ŸŽจ Creative -6%
13 ๐Ÿ‘จโ€๐Ÿซ Education -6%
14 ๐Ÿ“ Blogging -2%
n=23,255

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

# Tag Diff
1 ๐Ÿšฉ Politics -1,118%
2 ๐Ÿ˜Ž VR Dev -548%
3 ๐Ÿ‘‹ Hospitality -258%
4 ๐Ÿƒ Sports -94%
5 ๐Ÿ“ˆ Data -6%
n=23,255


Where do attractive people go?

๐Ÿ‘จโ€ Where attractive men travel to

# City Attractiveness
1 ๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu 5
2 ๐Ÿ‡ต๐Ÿ‡น Ericeira 4.87
3 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 4.87
4 ๐Ÿ‡จ๐Ÿ‡ท Tamarindo 4.72
5 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas 4.7
6 ๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik 4.6
7 ๐Ÿ‡ฐ๐Ÿ‡ท Busan 4.56
8 ๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt 4.56
9 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.56
10 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 4.56
11 ๐Ÿ‡ฒ๐Ÿ‡พ Langkawi 4.49
12 ๐Ÿ‡ช๐Ÿ‡ธ Ibiza 4.48
13 ๐Ÿ‡ง๐Ÿ‡ช Antwerp 4.48
14 ๐Ÿ‡ฟ๐Ÿ‡ฆ Johannesburg 4.45
15 ๐Ÿ‡ต๐Ÿ‡น Faro 4.45
16 ๐Ÿ‡น๐Ÿ‡ญ Ko Lanta 4.44
17 ๐Ÿ‡ณ๐Ÿ‡ด Bergen 4.43
18 ๐Ÿ‡น๐Ÿ‡ญ Ao Nang 4.4
19 ๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown 4.4
20 ๐Ÿ‡ป๐Ÿ‡ณ Hoi An 4.39
21 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 4.39
22 ๐Ÿ‡ง๐Ÿ‡ช Bruges 4.38
23 ๐Ÿ‡ช๐Ÿ‡ธ Seville 4.38
24 ๐Ÿ‡ณ๐Ÿ‡ฟ Auckland 4.38
25 ๐Ÿ‡ฆ๐Ÿ‡ท Bariloche 4.38
26 ๐Ÿ‡ช๐Ÿ‡ธ Mallorca 4.38
27 ๐Ÿ‡ฑ๐Ÿ‡ฆ Luang Prabang 4.37
28 ๐Ÿ‡ฎ๐Ÿ‡น Palermo 4.37
29 ๐Ÿ‡ณ๐Ÿ‡ฟ Christchurch 4.35
30 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.35
Based on attractiveness of visitors n=339,420

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

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 5
2 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.94
3 ๐Ÿ‡ฎ๐Ÿ‡น Genoa 4.94
4 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 4.88
5 ๐Ÿ‡ฒ๐Ÿ‡ช Budva 4.86
6 ๐Ÿ‡ฎ๐Ÿ‡น Amalfi 4.85
7 ๐Ÿ‡ต๐Ÿ‡ฑ Warsaw 4.83
8 ๐Ÿ‡ฆ๐Ÿ‡น Salzburg 4.82
9 ๐Ÿ‡น๐Ÿ‡ญ Ko Samui 4.79
10 ๐Ÿ‡บ๐Ÿ‡ธ Orlando 4.78
11 ๐Ÿ‡ฎ๐Ÿ‡ฑ Tel Aviv 4.77
12 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.76
13 ๐Ÿ‡จ๐Ÿ‡ฑ Valparaรญso 4.75
14 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.74
15 ๐Ÿ‡ฐ๐Ÿ‡ท Busan 4.71
16 ๐Ÿ‡ฒ๐Ÿ‡ช Kotor 4.68
17 ๐Ÿ‡ต๐Ÿ‡น Ericeira 4.67
18 ๐Ÿ‡น๐Ÿ‡ญ Krabi 4.66
19 ๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta 4.65
20 ๐Ÿ‡ท๐Ÿ‡บ Moscow 4.63
21 ๐Ÿ‡ธ๐Ÿ‡ฐ Bratislava 4.63
22 ๐Ÿ‡ช๐Ÿ‡ธ Gran Canaria 4.62
23 ๐Ÿ‡ฎ๐Ÿ‡น Milan 4.62
24 ๐Ÿ‡บ๐Ÿ‡ธ Portland 4.62
25 ๐Ÿ‡จ๐Ÿ‡พ Larnaca 4.62
26 ๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo 4.61
27 ๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg 4.61
28 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 4.61
29 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.6
30 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 4.6
Based on attractiveness of visitors n=339,420


And where do unattractive people go?

๐Ÿ‘จโ€ Where unattractive men travel to

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 3.06
2 ๐Ÿ‡ฎ๐Ÿ‡ณ Goa 3.15
3 ๐Ÿ‡บ๐Ÿ‡ธ Houston 3.52
4 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.58
5 ๐Ÿ‡ถ๐Ÿ‡ฆ Doha 3.6
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.62
7 ๐Ÿ‡ฒ๐Ÿ‡ช Podgorica 3.62
8 ๐Ÿ‡ฎ๐Ÿ‡ฑ Jerusalem 3.65
9 ๐Ÿ‡ช๐Ÿ‡ฌ Cairo 3.65
10 ๐Ÿ‡ต๐Ÿ‡พ Asuncion 3.65
11 ๐Ÿ‡น๐Ÿ‡ท Antalya 3.65
12 ๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty 3.65
13 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.65
14 ๐Ÿ‡ช๐Ÿ‡ธ Alicante 3.66
15 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.67
16 ๐Ÿ‡จ๐Ÿ‡ณ Guangzhou 3.68
17 ๐Ÿ‡ท๐Ÿ‡บ Moscow 3.7
18 ๐Ÿ‡จ๐Ÿ‡พ Larnaca 3.73
19 ๐Ÿ‡ง๐Ÿ‡พ Minsk 3.73
20 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.74
21 ๐Ÿ‡จ๐Ÿ‡บ Havana 3.75
22 ๐Ÿ‡ต๐Ÿ‡ญ Manila 3.78
23 ๐Ÿ‡ฆ๐Ÿ‡น Salzburg 3.78
24 ๐Ÿ‡ฌ๐Ÿ‡ง Glasgow 3.78
25 ๐Ÿ‡จ๐Ÿ‡ญ Geneva 3.79
26 ๐Ÿ‡ฆ๐Ÿ‡ฑ Tirana 3.8
27 ๐Ÿ‡น๐Ÿ‡ญ Pai 3.8
28 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.8
29 ๐Ÿ‡บ๐Ÿ‡ธ Washington 3.8
30 ๐Ÿ‡ต๐Ÿ‡ฑ Gdansk 3.81
Based on unattractiveness of visitors n=339,420

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

# City Attractiveness
1 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.2
2 ๐Ÿ‡ช๐Ÿ‡จ Quito 3.31
3 ๐Ÿ‡ง๐Ÿ‡ช Antwerp 3.38
4 ๐Ÿ‡ฆ๐Ÿ‡บ Perth 3.43
5 ๐Ÿ‡บ๐Ÿ‡ธ New Orleans 3.46
6 ๐Ÿ‡ฌ๐Ÿ‡ง Liverpool 3.48
7 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 3.49
8 ๐Ÿ‡ณ๐Ÿ‡ฎ San Juan del Sur 3.52
9 ๐Ÿ‡ฌ๐Ÿ‡ง Manchester 3.53
10 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.53
11 ๐Ÿ‡ณ๐Ÿ‡ฟ Wellington 3.53
12 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.53
13 ๐Ÿ‡ต๐Ÿ‡ท San Juan 3.53
14 ๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane 3.55
15 ๐Ÿ‡จ๐Ÿ‡ฆ Quebec City 3.55
16 ๐Ÿ‡ฏ๐Ÿ‡ด Amman 3.58
17 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guanajuato 3.61
18 ๐Ÿ‡จ๐Ÿ‡ด Bogota 3.61
19 ๐Ÿ‡ฌ๐Ÿ‡ง Glasgow 3.68
20 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.69
21 ๐Ÿ‡ฌ๐Ÿ‡ง Bristol 3.71
22 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.71
23 ๐Ÿ‡จ๐Ÿ‡ด Santa Marta 3.71
24 ๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende 3.74
25 ๐Ÿ‡ฒ๐Ÿ‡ฝ Merida 3.77
26 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.78
27 ๐Ÿ‡ช๐Ÿ‡จ Cuenca 3.81
28 ๐Ÿ‡ฒ๐Ÿ‡ฝ Puebla 3.82
29 ๐Ÿ‡ฒ๐Ÿ‡ฝ La Paz 3.83
30 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel 3.83
Based on unattractiveness of visitors n=339,420



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