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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 75% less COโ‚‚

7๏ธโƒฃ and stays for
7 months

n=34,087


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: 52 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
4%
42
3%
43
2%
44
2%
n=1,228

โ›ณ๏ธ Nomads by nationality

# Country People %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 37,421,356 45%
2 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 5,840,015 7%
3 ๐Ÿ‡ท๐Ÿ‡บ Russia 3,860,692 5%
4 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 3,813,405 5%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 3,178,400 4%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 2,708,902 3%
7 ๐Ÿ‡ง๐Ÿ‡ท Brazil 2,050,254 2%
8 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 1,948,923 2%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 1,469,292 2%
10 ๐Ÿ‡ช๐Ÿ‡ธ Spain 1,411,872 2%
11 ๐Ÿ‡ฎ๐Ÿ‡ณ India 1,222,721 1%
12 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine 1,104,503 1%
13 ๐Ÿ‡ฎ๐Ÿ‡น Italy 1,023,438 1%
14 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 962,640 1%
15 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 803,889 1%
16 ๐Ÿ‡ฆ๐Ÿ‡น Austria 655,271 1%
17 ๐Ÿ‡ธ๐Ÿ‡ช Sweden 560,695 1%
18 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland 537,052 1%
19 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 537,052 1%
20 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel 516,786 1%
21 ๐Ÿ‡น๐Ÿ‡ท Turkey 506,653 1%
22 ๐Ÿ‡ง๐Ÿ‡ช Belgium 462,743 1%
23 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 455,987 1%
24 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 428,966 1%
25 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 418,833 1%
26 ๐Ÿ‡ต๐Ÿ‡น Portugal 398,567 0%
27 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 395,189 0%
28 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 395,189 0%
29 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 385,056 0%
30 ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand 368,168 0%
n=24,545

๐Ÿ‘ถ Nomads by gender

Gender %
๐Ÿ‘จโ€ Men
84%
๐Ÿ‘ฑโ€โ™€๏ธ Women
16%
Last 30 days. n=102

๐Ÿ‘€ Nomads by sexuality

Sexuality %
๐Ÿ‘‹ Heterosexual
87%
๐Ÿฆ„ Bisexual
8%
๐Ÿณ๏ธโ€๐ŸŒˆ Gay or lesbian
5%
n=14,549

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=7,433

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=6,641

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=15,085

โค๏ธ Nomads by relationship

Relationship %
๐Ÿ˜Ž Single
66%
๐Ÿ˜ In a relationship
34%
n=8,122

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=50,667

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 $123,561 / y
Median $85,000 / y
n=4,167

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=4,946


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=3,935

๐Ÿ’ฌ What messaging apps nomads use?

Messaging app %
Telegram
47%
Whatsapp
44%
Twitter
5%
Facebook
2%
Snapchat
1%
LINE
0%
WeChat
0%
Slack
0%
n=4,573


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=3,322

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=6,827


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=5,112

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=13,183


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=9,691

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=2,417


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=339,008


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‡ฒ๐Ÿ‡พ Penang 4.29
12 ๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town 4.29
13 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 4.29
14 ๐Ÿ‡ฉ๐Ÿ‡ช Munich 4.29
15 ๐Ÿ‡จ๐Ÿ‡ฆ Montreal 4.29
n=4,805

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=4,805


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=339,008

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=339,008

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
1,600 kg/y
2019
1,634 kg/y
2020
1,015 kg/y
2021
1,017 kg/y
2022
1,634 kg/y
2023
1,781 kg/y
2024
2,276 kg/y
Average 1,292 kg/y
Median 1,269 kg/y
Based on 339,008 trips by 13,595 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 1,269 kg/y, or 75% 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 +13%
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=339,008

๐Ÿ‘ฑโ€โ™€๏ธ Where women go most

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‡ต๐Ÿ‡น Lisbon +16%
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 +4%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam -5%
10 ๐Ÿ‡ฎ๐Ÿ‡น Rome +23%
11 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu -2%
12 ๐Ÿ‡น๐Ÿ‡ท Istanbul -7%
13 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud +26%
14 ๐Ÿ‡บ๐Ÿ‡ธ New York City +8%
15 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore -11%
median temp=18°C; n=339,008


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‡ณ๐Ÿ‡ด Norway +17%
14 ๐Ÿ‡ญ๐Ÿ‡บ Hungary +17%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Japan +17%
median temp=12.5°C; n=339,008

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‡ซ๐Ÿ‡ท France +18%
8 ๐Ÿ‡ฎ๐Ÿ‡น Italy +18%
9 ๐Ÿ‡ฌ๐Ÿ‡ท Greece +14%
10 ๐Ÿ‡ต๐Ÿ‡ช Peru +12%
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=339,008


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=2,057

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‡ฐ๐Ÿ‡ต North Korea 2.5
13 ๐Ÿ‡ฌ๐Ÿ‡ฎ Gibraltar 2.5
14 ๐Ÿ‡ป๐Ÿ‡ช Venezuela 2.5
15 ๐Ÿ‡ธ๐Ÿ‡ณ Senegal 2.5
n=2,057


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=330,086

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=330,086





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=23,244


๐Ÿ‘จ Nomad men work as

# Work % vs. women
1 ๐Ÿ’ป Software Dev 34% +244%
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% +262%
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=18,643

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% -42%
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 +355%
2 ๐Ÿ“ฑ Mobile Dev +345%
3 ๐Ÿ—ƒ Dev Ops +319%
4 ๐Ÿ“ก Sysadmin +304%
5 ๐Ÿ’ฐ Crypto +262%
6 ๐Ÿ•ธ Web Dev +261%
7 ๐Ÿ’ป Software Dev +244%
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=23,244

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=23,244


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=23,244


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% +22%
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% +126%
10 โ˜€๏ธ Waking up early 25% +29%
11 ๐ŸŒ™ Staying up late 25% +55%
12 ๐Ÿง  Open-minded 24% +22%
13 ๐Ÿ“– Reading 24% +12%
14 ๐Ÿท Wine 23% +1%
15 ๐Ÿ˜Ž Single 23% +34%
n=18,643

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women

# Tag % vs. ๐Ÿ‘จโ€
1 โ˜•๏ธ Coffee 31% -23%
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 +1,240%
2 ๐Ÿชœ Roost Stand +376%
3 ๐Ÿ‘จ No beard +341%
4 โšฝ๏ธ Football +339%
5 ๐Ÿง‘โ€ Short hair +264%
6 ๐Ÿ’ Ice hockey +259%
7 ๐ŸŽ Race sports +225%
8 ๐Ÿ Motorcycling +216%
9 ๐ŸŽง Hardstyle music +214%
10 ๐Ÿ‘ด Conservative politics +212%
11 ๐Ÿช‚ Dropout +208%
12 ๐Ÿ€ Basketball +190%
13 ๐Ÿ“ Table tennis +187%
14 ๐Ÿ‘พ Gaming +174%
15 ๐Ÿ‚ Skateboarding +171%
n=23,244

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ’„ Makeup +2,910%
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 +75%
13 ๐Ÿคธโ€โ™€๏ธ Yoga +70%
14 ๐ŸŒป Gardening +69%
15 โœ‹๐Ÿฟ Black +66%
n=23,244




๐Ÿ’‰ Nomads by vaccination

Vaccinated %
๐Ÿ’‰ COVID vaccinated
94%
๐Ÿ’‰ Not COVID vaccinated
6%
n=7,210

โค๏ธ Nomads by family

Relationship %
โค๏ธ Close to parents
81%
๐Ÿ’” Not close to parents
19%
n=1,849

๐Ÿ‘ถ Nomads by childhood

Childhood %
๐Ÿ˜Š Happy childhood
89%
๐Ÿ˜” Unhappy childhood
11%
n=1,998

๐Ÿก Homeownership amongst nomads

Homeownership %
๐Ÿก Homeowner
53%
๐Ÿก Not a homeowner
47%
n=2,155


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

๐Ÿ˜ In a relationship

๐Ÿ’„ Makeup

๐ŸŸ Pescetarian

โ›ท Skiing

๐Ÿ› Shopping

n=23,244


๐Ÿ‘จโ€ Attractive men's traits

# Tag Diff
1 ๐Ÿ˜ In a relationship +148%
2 ๐ŸŽง Dubstep music +118%
3 ๐Ÿ‚ Skateboarding +79%
4 ๐Ÿงผ Clean freak +75%
5 ๐Ÿง Pessimist +66%
6 ๐Ÿก Not a homeowner +66%
7 โœจ Astrology +64%
8 ๐Ÿ’ช Crossfit +62%
9 ๐Ÿ Reggae music +62%
10 ๐Ÿ‘ถ Middle child +58%
11 ๐ŸŽง Hiphop music +56%
12 ๐Ÿ’ฌ Twitter +54%
13 ๐Ÿš Vanlife +53%
14 ๐Ÿฅš Soft boiled eggs +52%
15 ๐Ÿ„ Surfing +51%
16 โ›ฐ Climbing +51%
17 ๐ŸŒŠ Diving +50%
18 ๐ŸŽง House music +50%
19 ๐Ÿ˜ Extrovert +49%
20 ๐ŸŽ Kitesurfing +48%
21 โšฝ๏ธ Football +47%
22 ๐Ÿฃ Japanese food +44%
23 ๐ŸŽง Drum & Bass music +40%
24 ๐Ÿง” Have a beard +40%
25 ๐ŸŽธ Indie rock music +40%
26 ๐Ÿ‘จโ€๐ŸŽค Partying +39%
27 ๐Ÿ’‰ Not COVID vaccinated +39%
28 โค๏ธ My parents are together +37%
29 ๐ŸŽ Race sports +36%
30 ๐Ÿƒ Running +35%
n=23,244

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

# Tag Diff
1 ๐Ÿณ๏ธโ€๐ŸŒˆ LGBT +479%
2 ๐Ÿ’„ Makeup +275%
3 ๐ŸŸ Pescetarian +222%
4 ๐Ÿ› Shopping +209%
5 โ›ท Skiing +202%
6 ๐Ÿ‘— Dress up +186%
7 ๐ŸŽธ Acoustic music +175%
8 ๐Ÿ’ฐ Pop music +166%
9 ๐Ÿƒ Running +160%
10 ๐Ÿ˜ In a relationship +157%
11 ๐Ÿ’ช Fitness +154%
12 ๐Ÿ’ซ Not religious +152%
13 ๐Ÿ„ Surfing +150%
14 ๐Ÿง’ Oldest child +150%
15 ๐ŸŽท Blues music +147%
16 โ›ฐ Climbing +146%
17 ๐Ÿš Vanlife +145%
18 ๐Ÿฅ‘ Vegan +141%
19 ๐ŸŽ’ Backpacking +138%
20 ๐Ÿฃ Japanese food +137%
21 ๐ŸŽพ Tennis +136%
22 ๐Ÿšด Cycling +135%
23 ๐ŸŽง Hiphop music +133%
24 ๐ŸŽธ Indie rock music +130%
25 โœจ Astrology +126%
26 ๐Ÿ“ธ Photography +125%
27 ๐Ÿพ Drinking alcohol +124%
28 ๐ŸŽธ Rock music +123%
29 ๐Ÿก Homebody +121%
30 โ›ฑ Beach +121%
n=23,244


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’” Unhappy childhood

๐Ÿ’ฌ Discord

๐Ÿชœ Nexstand

๐Ÿš Urbex

๐Ÿ“” Religious

๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding

n=23,244


๐Ÿ‘จโ€ Unattractive men's traits

# Tag Diff
1 ๐Ÿ’” Unhappy childhood -2,916%
2 ๐Ÿ’ฌ Discord -2,260%
3 ๐Ÿชœ Nexstand -1,213%
4 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -592%
5 ๐Ÿ’ฌ Snapchat -485%
6 ๐Ÿ˜ˆ FetLife -361%
7 ๐Ÿ‘จ No beard -334%
8 ๐Ÿธ Badminton -216%
9 ๐Ÿ’„ Makeup -166%
10 ๐Ÿš Urbex -157%
11 ๐ŸŽณ Bowling -155%
12 ๐ŸŽญ Swinging -148%
13 ๐Ÿ’” My parents separated -135%
14 ๐Ÿ˜Ž Single -96%
15 ๐Ÿฉ Samoyeds -91%
16 ๐Ÿช‚ Skydiving -83%
17 ๐Ÿ‘ด Conservative politics -79%
18 ๐Ÿ’” Not close to my parents -64%
19 ๐Ÿ‘จโ€๐Ÿฆฒ Bald -61%
20 โœˆ๏ธ Private pilot -51%
21 ๐ŸŽฑ Pool -44%
22 ๐Ÿ“” Religious -42%
23 ๐Ÿค– Android -40%
24 ๐Ÿ˜ˆ Kink -39%
25 ๐ŸŽง Trance music -37%
26 ๐Ÿ Volleyball -36%
27 ๐Ÿ› Shopping -36%
28 ๐Ÿคฒ Human rights -35%
29 ๐ŸŽž Film making -32%
30 ๐Ÿ‘… Sex positive -32%
n=23,244

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

# Tag Diff
1 ๐Ÿ– Carnivore -2,534%
2 ๐Ÿš Urbex -996%
3 ๐Ÿ’ฅ Messy -911%
4 ๐Ÿ‚ Skateboarding -840%
5 ๐Ÿ“” Religious -626%
6 ๐Ÿ•บ Breakdance -526%
7 ๐Ÿช‚ Paragliding -512%
8 ๐Ÿง” Have a beard -341%
9 ๐ŸŽง Hardstyle music -227%
10 ๐Ÿ‘ด Conservative politics -185%
11 โšพ๏ธ Baseball -171%
12 ๐Ÿ’ฌ Discord -171%
13 ๐Ÿ‘ถ Middle child -132%
14 ๐ŸŒธ Anime -114%
15 ๐Ÿ‘… Sex positive -99%
16 ๐Ÿ’ช Crossfit -89%
17 ๐Ÿ’ Ice hockey -71%
18 ๐Ÿ’ฌ Facebook -64%
19 ๐Ÿ‡ฐ๐Ÿ‡ท K-pop music -57%
20 โœจ Believe in astrology -55%
21 โš–๏ธ Centrist politics -37%
22 ๐ŸŽ Kitesurfing -30%
23 ๐Ÿ‘ถ Parent -28%
24 ๐Ÿชœ Roost Stand -28%
25 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -28%
26 ๐Ÿ’ฌ Snapchat -28%
27 โ›ต๏ธ Sailing -19%
28 ๐Ÿ– Paleo -15%
29 ๐Ÿ˜ˆ Kink -11%
30 ๐Ÿธ Badminton -8%
n=23,244


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“Š SaaS

๐Ÿ“ Blogging

๐ŸŽจ UI/UX Design

๐Ÿค Community

๐Ÿ‘Š Coach

๐Ÿ“‡ Startup Founder

n=23,244


๐Ÿ‘จโ€ Attractive men's jobs

# Tag Diff
1 ๐Ÿ—บ Geo +86%
2 ๐ŸŽจ UI/UX Design +65%
3 ๐Ÿšš Logistics +58%
4 ๐Ÿ“ฑ Mobile Dev +47%
5 ๐Ÿ’ช Fitness +47%
6 ๐Ÿ‘Š Coach +42%
7 ๐Ÿ“Š SaaS +41%
8 ๐Ÿ“‡ Startup Founder +39%
9 ๐Ÿค Community +37%
10 ๐Ÿƒ Sports +33%
11 ๐Ÿ•ธ Web Dev +31%
12 ๐Ÿ˜ Marketing +30%
13 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +25%
14 ๐Ÿ‘พ Game Dev +25%
15 ๐Ÿ›’ Ecommerce +24%
16 ๐Ÿ’ป Software Dev +23%
17 ๐Ÿค  Product Manager +19%
18 ๐Ÿ’ฐ Finance +15%
19 ๐Ÿค‘ Sales +14%
20 ๐Ÿ“ˆ Data +13%
21 ๐Ÿ‘จโ€๐Ÿซ Education +11%
22 ๐Ÿ“ Blogging +8%
23 ๐Ÿ‘‹ Hospitality +7%
n=23,244

๐Ÿ‘ฑโ€โ™€๏ธ Attractive women's jobs

# Tag Diff
1 ๐Ÿ“ Blogging +190%
2 ๐Ÿ“Š SaaS +158%
3 ๐Ÿค Community +139%
4 ๐ŸŽจ UI/UX Design +119%
5 ๐Ÿ“‡ Startup Founder +110%
6 ๐Ÿ‘Š Coach +108%
7 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +103%
8 ๐Ÿ˜ Marketing +91%
9 ๐Ÿค  Product Manager +75%
10 ๐Ÿ•ธ Web Dev +31%
11 ๐Ÿ‘จโ€๐Ÿซ Education +25%
12 ๐Ÿ’ป Software Dev +15%
n=23,244


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‘ฉโ€๐Ÿ’ผ Law

๐Ÿง‘โ€๐Ÿ’ผ Human resources

๐Ÿ“ฐ Journalism

๐Ÿ“ธ Model

๐Ÿ™‚ Support

n=23,244


๐Ÿ‘จโ€ Unattractive men's jobs

# Tag Diff
1 ๐Ÿšฉ Politics -4,371%
2 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law -3,927%
3 ๐Ÿง‘โ€๐Ÿ’ผ Human resources -1,798%
4 ๐Ÿ“ฐ Journalism -213%
5 ๐Ÿ“ธ Model -150%
6 ๐Ÿ“ก Sysadmin -81%
7 ๐Ÿ™‚ Support -46%
8 ๐Ÿ—ƒ Dev Ops -25%
9 ๐ŸŒถ Adult -14%
10 ๐Ÿ‘จโ€โš•๏ธ Medical -4%
11 ๐Ÿก Architecture -3%
n=23,244

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

# Tag Diff
1 ๐Ÿ‘‹ Hospitality -1,879%
2 ๐Ÿง  Psychologist -697%
3 ๐Ÿšฉ Politics -569%
4 ๐Ÿ˜Ž VR Dev -256%
5 ๐Ÿ™‚ Support -40%
6 ๐Ÿ“ˆ Data -38%
7 ๐Ÿ’ฐ Crypto -20%
8 ๐Ÿƒ Sports -7%
9 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law -7%
n=23,244


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 4.93
3 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 4.93
4 ๐Ÿ‡จ๐Ÿ‡ท Tamarindo 4.77
5 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas 4.76
6 ๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik 4.66
7 ๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt 4.62
8 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.62
9 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 4.62
10 ๐Ÿ‡ฐ๐Ÿ‡ท Busan 4.59
11 ๐Ÿ‡ฒ๐Ÿ‡พ Langkawi 4.55
12 ๐Ÿ‡ช๐Ÿ‡ธ Ibiza 4.54
13 ๐Ÿ‡ง๐Ÿ‡ช Antwerp 4.54
14 ๐Ÿ‡ฟ๐Ÿ‡ฆ Johannesburg 4.51
15 ๐Ÿ‡ต๐Ÿ‡น Faro 4.51
16 ๐Ÿ‡น๐Ÿ‡ญ Ko Lanta 4.5
17 ๐Ÿ‡ณ๐Ÿ‡ด Bergen 4.48
18 ๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown 4.46
19 ๐Ÿ‡น๐Ÿ‡ญ Ao Nang 4.45
20 ๐Ÿ‡ป๐Ÿ‡ณ Hoi An 4.45
21 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 4.45
22 ๐Ÿ‡ง๐Ÿ‡ช Bruges 4.44
23 ๐Ÿ‡ช๐Ÿ‡ธ Seville 4.44
24 ๐Ÿ‡ณ๐Ÿ‡ฟ Auckland 4.44
25 ๐Ÿ‡ฆ๐Ÿ‡ท Bariloche 4.44
26 ๐Ÿ‡ช๐Ÿ‡ธ Mallorca 4.44
27 ๐Ÿ‡ณ๐Ÿ‡ฟ Christchurch 4.41
28 ๐Ÿ‡ฑ๐Ÿ‡ฆ Luang Prabang 4.41
29 ๐Ÿ‡ฎ๐Ÿ‡น Palermo 4.41
30 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.41
Based on attractiveness of visitors n=339,008

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

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 5
2 ๐Ÿ‡ฎ๐Ÿ‡น Genoa 4.94
3 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 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‡บ๐Ÿ‡ธ Orlando 4.77
10 ๐Ÿ‡น๐Ÿ‡ญ Ko Samui 4.76
11 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.76
12 ๐Ÿ‡จ๐Ÿ‡ฑ Valparaรญso 4.75
13 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.74
14 ๐Ÿ‡ฐ๐Ÿ‡ท Busan 4.71
15 ๐Ÿ‡ฒ๐Ÿ‡ช Kotor 4.68
16 ๐Ÿ‡น๐Ÿ‡ญ Krabi 4.67
17 ๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta 4.65
18 ๐Ÿ‡ท๐Ÿ‡บ Moscow 4.63
19 ๐Ÿ‡ฎ๐Ÿ‡ฑ Tel Aviv 4.63
20 ๐Ÿ‡ธ๐Ÿ‡ฐ Bratislava 4.63
21 ๐Ÿ‡ช๐Ÿ‡ธ Gran Canaria 4.62
22 ๐Ÿ‡จ๐Ÿ‡พ Larnaca 4.61
23 ๐Ÿ‡บ๐Ÿ‡ธ Portland 4.61
24 ๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg 4.61
25 ๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo 4.61
26 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 4.61
27 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.6
28 ๐Ÿ‡ฎ๐Ÿ‡น Milan 4.6
29 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 4.6
30 ๐Ÿ‡ฒ๐Ÿ‡ฆ Taghazout 4.6
Based on attractiveness of visitors n=339,008


And where do unattractive people go?

๐Ÿ‘จโ€ Where unattractive men travel to

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 3.09
2 ๐Ÿ‡ฎ๐Ÿ‡ณ Goa 3.19
3 ๐Ÿ‡บ๐Ÿ‡ธ Houston 3.57
4 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.63
5 ๐Ÿ‡ถ๐Ÿ‡ฆ Doha 3.65
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.67
7 ๐Ÿ‡ฒ๐Ÿ‡ช Podgorica 3.67
8 ๐Ÿ‡ฎ๐Ÿ‡ฑ Jerusalem 3.7
9 ๐Ÿ‡ช๐Ÿ‡ฌ Cairo 3.7
10 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.7
11 ๐Ÿ‡ต๐Ÿ‡พ Asuncion 3.7
12 ๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty 3.7
13 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.7
14 ๐Ÿ‡น๐Ÿ‡ท Antalya 3.7
15 ๐Ÿ‡ช๐Ÿ‡ธ Alicante 3.71
16 ๐Ÿ‡ท๐Ÿ‡บ Moscow 3.72
17 ๐Ÿ‡จ๐Ÿ‡ณ Guangzhou 3.73
18 ๐Ÿ‡จ๐Ÿ‡พ Larnaca 3.78
19 ๐Ÿ‡ง๐Ÿ‡พ Minsk 3.79
20 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.79
21 ๐Ÿ‡จ๐Ÿ‡บ Havana 3.8
22 ๐Ÿ‡ฌ๐Ÿ‡ง Glasgow 3.82
23 ๐Ÿ‡ต๐Ÿ‡ญ Manila 3.83
24 ๐Ÿ‡น๐Ÿ‡ญ Pai 3.83
25 ๐Ÿ‡ฆ๐Ÿ‡น Salzburg 3.84
26 ๐Ÿ‡จ๐Ÿ‡ณ Shenzhen 3.84
27 ๐Ÿ‡จ๐Ÿ‡ญ Geneva 3.84
28 ๐Ÿ‡ฆ๐Ÿ‡ฑ Tirana 3.85
29 ๐Ÿ‡ฎ๐Ÿ‡ฉ Kuta 3.85
30 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.85
Based on unattractiveness of visitors n=339,008

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

# City Attractiveness
1 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.2
2 ๐Ÿ‡ช๐Ÿ‡จ Quito 3.32
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 3.49
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‡ต๐Ÿ‡ท San Juan 3.53
11 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.53
12 ๐Ÿ‡ณ๐Ÿ‡ฟ Wellington 3.53
13 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 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‡จ๐Ÿ‡ด Santa Marta 3.71
23 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.72
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 Cozumel 3.83
30 ๐Ÿ‡ฒ๐Ÿ‡ฝ La Paz 3.83
Based on unattractiveness of visitors n=339,008



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