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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 76% less COโ‚‚

6๏ธโƒฃ and stays for
6 months

n=33,359


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: 31 minutes ago

๐Ÿ‘ถ Nomads by age

Age %
19
0.2%
21
0.2%
22
0.2%
23
0.3%
24
1%
25
1%
26
1%
27
2%
28
2%
29
3%
30
5%
31
6%
32
7%
33
6%
34
6%
35
8%
36
6%
37
6%
38
5%
39
5%
40
4%
41
3%
42
3%
43
2%
44
2%
n=1,210

โ›ณ๏ธ Nomads by nationality

# Country People %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 35,000,078 45%
2 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 5,464,684 7%
3 ๐Ÿ‡ท๐Ÿ‡บ Russia 3,634,636 5%
4 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 3,520,059 5%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 2,924,895 4%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 2,492,049 3%
7 ๐Ÿ‡ง๐Ÿ‡ท Brazil 1,884,154 2%
8 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 1,795,039 2%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 1,365,375 2%
10 ๐Ÿ‡ช๐Ÿ‡ธ Spain 1,308,087 2%
11 ๐Ÿ‡ฎ๐Ÿ‡ณ India 1,104,395 1%
12 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine 1,024,827 1%
13 ๐Ÿ‡ฎ๐Ÿ‡น Italy 929,346 1%
14 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 887,971 1%
15 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 747,933 1%
16 ๐Ÿ‡ฆ๐Ÿ‡น Austria 604,712 1%
17 ๐Ÿ‡ธ๐Ÿ‡ช Sweden 521,962 1%
18 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland 499,683 1%
19 ๐Ÿ‡น๐Ÿ‡ท Turkey 477,404 1%
20 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel 477,404 1%
21 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 471,039 1%
22 ๐Ÿ‡ง๐Ÿ‡ช Belgium 423,298 1%
23 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 420,116 1%
24 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 388,289 1%
25 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 385,106 0%
26 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 369,192 0%
27 ๐Ÿ‡ต๐Ÿ‡น Portugal 366,010 0%
28 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 362,827 0%
29 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 359,644 0%
30 ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand 343,731 0%
n=24,215

๐Ÿ‘ถ Nomads by gender

Gender %
๐Ÿ‘จโ€ Men
87%
๐Ÿ‘ฑโ€โ™€๏ธ Women
13%
Last 30 days. n=89

๐Ÿ‘€ Nomads by sexuality

Sexuality %
๐Ÿ‘‹ Heterosexual
87%
๐Ÿฆ„ Bisexual
8%
๐Ÿณ๏ธโ€๐ŸŒˆ Gay or lesbian
5%
n=14,274

๐Ÿ™ Nomads by beliefs

Religion %
๐Ÿ’ซ Not religious
54%
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=7,235

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=6,428

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=14,662

โค๏ธ Nomads by relationship

Relationship %
๐Ÿ˜Ž Single
66%
๐Ÿ˜ In a relationship
34%
n=7,864

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
5%
n=49,296

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 $123,060 / y
Median $85,000 / y
n=3,963

๐Ÿ’ฐ Nomads by employment

Employment type %
Full time
41%
Freelance
17%
Startup founder
17%
Full time contractor
9%
Agency
8%
Other
5%
Part time
2%
Part time contractor
2%
n=4,672


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%
n=3,661

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=4,366


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=3,282

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=779


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=6,643


๐Ÿ• Nomad men by diet

Diet %
๐Ÿฅฉ Eats meat
75%
๐Ÿšซ Does not eat meat
25%
๐Ÿฅ‘ Vegan
11%
๐Ÿฅ’ Vegetarian
10%
๐ŸŸ Pescetarian
4%
n=5,024

๐Ÿ• Nomad women by diet

Diet %
๐Ÿฅฉ Eats meat
56%
๐Ÿšซ Does not eat meat
44%
๐Ÿฅ’ Vegetarian
19%
๐Ÿฅ‘ Vegan
15%
๐ŸŸ Pescetarian
11%
n=1,160


How do nomads work out?

๐Ÿฅพ Hiking

๐Ÿ’ช Fitness

๐Ÿƒ Running

๐Ÿคธโ€โ™€๏ธ Yoga

๐ŸŠ Swimming

๐Ÿšด Cycling

n=12,821


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=9,514

๐Ÿ˜… Nomad women by sports

Sport %
๐Ÿฅพ Hiking
52%
๐Ÿคธโ€โ™€๏ธ Yoga
44%
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
5%
๐Ÿ Motorcycling
5%
๐Ÿ’ช Fight sports
5%
n=2,389


Where do nomads like to go most?

๐Ÿ‡ต๐Ÿ‡น Portimรฃo

๐Ÿ‡บ๐Ÿ‡ธ Chicago

๐Ÿ‡บ๐Ÿ‡ฆ Odessa

๐Ÿ‡ญ๐Ÿ‡บ Budapest

๐Ÿ‡ช๐Ÿ‡ธ Valencia

๐Ÿ‡น๐Ÿ‡ญ Chiang Mai

n=327,067


๐Ÿ˜ Most liked cities by men

# City Rating
1 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 4.58
2 ๐Ÿ‡ต๐Ÿ‡น Porto 4.55
3 ๐Ÿ‡ฐ๐Ÿ‡ท Seoul 4.50
4 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 4.44
5 ๐Ÿ‡ต๐Ÿ‡ฑ Krakรณw 4.44
6 ๐Ÿ‡ต๐Ÿ‡ฑ Warsaw 4.44
7 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 4.38
8 ๐Ÿ‡ญ๐Ÿ‡ท Split 4.38
9 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 4.29
10 ๐Ÿ‡ฒ๐Ÿ‡พ Penang 4.29
11 ๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town 4.29
12 ๐Ÿ‡ช๐Ÿ‡ธ Valencia 4.29
13 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 4.23
14 ๐Ÿ‡ฌ๐Ÿ‡ท Athens 4.17
15 ๐Ÿ‡จ๐Ÿ‡ฆ Montreal 4.17
n=4,768

๐Ÿ˜ Most liked cities by women

# City Rating
1 ๐Ÿ‡จ๐Ÿ‡ด Medellรญn 4.00
2 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 3.75
3 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 3.75
4 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin 3.75
5 ๐Ÿ‡ฉ๐Ÿ‡ช Munich 3.75
6 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 3.75
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen 3.00
n=4,768


๐ŸŒ† Most visited cities

# City % visited
1 ๐Ÿ‡ฌ๐Ÿ‡ง London 2.28%
2 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 2.02%
3 ๐Ÿ‡บ๐Ÿ‡ธ New York City 1.55%
4 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin 1.52%
5 ๐Ÿ‡ต๐Ÿ‡น Lisbon 1.51%
6 ๐Ÿ‡ซ๐Ÿ‡ท Paris 1.5%
7 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona 1.47%
8 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam 1.27%
9 ๐Ÿ‡บ๐Ÿ‡ธ San Francisco 1.19%
10 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 1.09%
11 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 1.01%
12 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 0.91%
13 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 0.9%
14 ๐Ÿ‡บ๐Ÿ‡ธ Los Angeles 0.88%
15 ๐Ÿ‡น๐Ÿ‡ท Istanbul 0.84%
16 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 0.83%
17 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 0.81%
18 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 0.81%
19 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 0.75%
20 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 0.73%
21 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 0.7%
22 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires 0.66%
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‡ญ๐Ÿ‡ฐ Hong Kong 0.53%
28 ๐Ÿ‡ป๐Ÿ‡ณ Ho Chi Minh City 0.53%
29 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud 0.52%
30 ๐Ÿ‡ต๐Ÿ‡น Porto 0.52%
n=327,067

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‡ณ๐Ÿ‡ฑ Netherlands 2%
14 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 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‡ฎ๐Ÿ‡ณ India 1%
22 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia 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%
29 ๐Ÿ‡ญ๐Ÿ‡บ Hungary 1%
n=327,067

๐Ÿƒ Avg. COโ‚‚ by member traveling

Year COโ‚‚
2013
679 kg/y
2014
994 kg/y
2015
1,099 kg/y
2016
1,320 kg/y
2017
1,512 kg/y
2018
1,612 kg/y
2019
1,630 kg/y
2020
1,015 kg/y
2021
1,019 kg/y
2022
1,642 kg/y
2023
1,751 kg/y
2024
2,956 kg/y
Average 1,260 kg/y
Median 1,209 kg/y
Based on 327,067 trips by 13,268 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 1,209 kg/y, or 76% 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 +22%
2 ๐Ÿ‡ต๐Ÿ‡น Lisbon -14%
3 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona -9%
4 ๐Ÿ‡ฌ๐Ÿ‡ง London -20%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris -18%
6 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin -2%
7 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam +5%
8 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai -4%
9 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu +1%
10 ๐Ÿ‡น๐Ÿ‡ท Istanbul +10%
11 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore +12%
12 ๐Ÿ‡ญ๐Ÿ‡บ Budapest +18%
13 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City -23%
14 ๐Ÿ‡จ๐Ÿ‡ฟ Prague +18%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo +12%
median temp=17°C; n=327,067

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 +10%
4 ๐Ÿ‡ซ๐Ÿ‡ท Paris +22%
5 ๐Ÿ‡น๐Ÿ‡ญ Bangkok -18%
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City +30%
7 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin +2%
8 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai +4%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam -5%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu -1%
11 ๐Ÿ‡ฎ๐Ÿ‡น Rome +21%
12 ๐Ÿ‡น๐Ÿ‡ท Istanbul -9%
13 ๐Ÿ‡บ๐Ÿ‡ธ New York City +8%
14 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud +24%
15 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires +14%
median temp=18°C; n=327,067


๐Ÿ‘จ Where men go more

# Tag vs. women
1 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine +87%
2 ๐Ÿ‡ท๐Ÿ‡บ Russia +76%
3 ๐Ÿ‡ต๐Ÿ‡ฑ Poland +74%
4 ๐Ÿ‡ท๐Ÿ‡ด Romania +68%
5 ๐Ÿ‡ฌ๐Ÿ‡ช Georgia +49%
6 ๐Ÿ‡ท๐Ÿ‡ธ Serbia +36%
7 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong +32%
8 ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand +27%
9 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates +25%
10 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia +22%
11 ๐Ÿ‡ต๐Ÿ‡ญ Philippines +21%
12 ๐Ÿ‡ณ๐Ÿ‡ด Norway +21%
13 ๐Ÿ‡ญ๐Ÿ‡บ Hungary +18%
14 ๐Ÿ‡ป๐Ÿ‡ณ Vietnam +17%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Japan +16%
median temp=13°C; n=327,067

๐Ÿ‘ฑโ€โ™€๏ธ Where women go more

# Tag vs. men
1 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa +55%
2 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica +48%
3 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico +43%
4 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom +26%
5 ๐Ÿ‡จ๐Ÿ‡ฑ Chile +26%
6 ๐Ÿ‡ญ๐Ÿ‡ท Croatia +22%
7 ๐Ÿ‡ต๐Ÿ‡ช Peru +17%
8 ๐Ÿ‡ซ๐Ÿ‡ท France +16%
9 ๐Ÿ‡ฎ๐Ÿ‡น Italy +15%
10 ๐Ÿ‡ฌ๐Ÿ‡ท Greece +12%
11 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina +10%
12 ๐Ÿ‡ฆ๐Ÿ‡บ Australia +9%
13 ๐Ÿ‡บ๐Ÿ‡ธ United States +9%
14 ๐Ÿ‡ต๐Ÿ‡น Portugal +9%
15 ๐Ÿ‡ช๐Ÿ‡ธ Spain +6%
median temp=18°C; n=327,067


๐Ÿ˜ Most liked countries

# Country Rating
1 ๐Ÿ‡ญ๐Ÿ‡ท Croatia 4.7
2 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 4.7
3 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 4.65
4 ๐Ÿ‡ญ๐Ÿ‡บ Hungary 4.65
5 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 4.4
6 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia 4.35
7 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 4.3
8 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 4.15
9 ๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark 4.15
10 ๐Ÿ‡บ๐Ÿ‡พ Uruguay 4.15
11 ๐Ÿ‡ต๐Ÿ‡ฆ Panama 4.15
12 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica 4.15
13 ๐Ÿ‡ช๐Ÿ‡ธ Spain 4.1
14 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 4.05
15 ๐Ÿ‡ฐ๐Ÿ‡ฟ Kazakhstan 4
n=2,026

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‡ฒ๐Ÿ‡ช Montenegro 1.8
7 ๐Ÿ‡ฑ๐Ÿ‡ฐ Sri Lanka 2
8 ๐Ÿ‡จ๐Ÿ‡ฑ Chile 2.1
9 ๐Ÿ‡ฑ๐Ÿ‡ฆ Laos 2.15
10 ๐Ÿ‡ธ๐Ÿ‡ด Somalia 2.5
11 ๐Ÿ‡ช๐Ÿ‡น Ethiopia 2.5
12 ๐Ÿ‡ท๐Ÿ‡ผ Rwanda 2.5
13 ๐Ÿ‡ป๐Ÿ‡ช Venezuela 2.5
14 ๐Ÿ‡จ๐Ÿ‡ฒ Cameroon 2.5
15 ๐Ÿ‡ฌ๐Ÿ‡ฎ Gibraltar 2.5
n=2,026


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=318,350

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

Duration %
< 7 days
0%
7 - 30 days
61%
30 - 90 days
26%
90+ days
13%
Average 195 days (6 months)
n=318,350





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=22,959


๐Ÿ‘จ Nomad men work as

# Work % vs. women
1 ๐Ÿ’ป Software Dev 34% +242%
2 ๐Ÿ•ธ Web Dev 28% +255%
3 ๐Ÿ“‡ Startup Founder 27% +134%
4 ๐Ÿ˜ Marketing 15% =
5 ๐Ÿ“Š SaaS 13% +196%
6 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 12% -18%
7 ๐ŸŽจ UI/UX Design 11% +40%
8 ๐Ÿค  Product Manager 11% +71%
9 ๐Ÿ’ฐ Crypto 11% +253%
10 ๐Ÿ“ˆ Data 11% +108%
11 ๐Ÿ“ฑ Mobile Dev 11% +342%
12 ๐Ÿ’ฐ Finance 10% +127%
13 ๐Ÿ›’ Ecommerce 9% +104%
14 ๐Ÿค‘ Sales 7% +82%
15 ๐Ÿ‘จโ€๐Ÿซ Education 6% -10%
n=18,405

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women work as

# Work % vs. men
1 ๐Ÿ˜ Marketing 15% 0%
2 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 15% +21%
3 ๐Ÿ“‡ Startup Founder 11% -57%
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% +24%
9 ๐Ÿ‘จโ€๐Ÿซ Education 7% +11%
10 ๐Ÿ‘Š Coach 7% +20%
11 ๐Ÿค  Product Manager 7% -42%
12 ๐Ÿ“ˆ Data 5% -52%
13 ๐Ÿ“Š SaaS 4% -66%
14 ๐Ÿ›’ Ecommerce 4% -51%
15 ๐Ÿ’ฐ Finance 4% -56%
n=5,680


๐Ÿ‘จ Nomad men vs. women

# Tag vs. women
1 ๐Ÿ‘พ Game Dev +353%
2 ๐Ÿ“ฑ Mobile Dev +342%
3 ๐Ÿ—ƒ Dev Ops +303%
4 ๐Ÿ“ก Sysadmin +285%
5 ๐Ÿ•ธ Web Dev +255%
6 ๐Ÿ’ฐ Crypto +253%
7 ๐Ÿ’ป Software Dev +242%
8 ๐Ÿ“Š SaaS +196%
9 ๐Ÿ˜Ž VR Dev +154%
10 ๐Ÿƒ Sports +151%
11 ๐Ÿ—บ Geo +141%
12 ๐Ÿ“‡ Startup Founder +134%
13 ๐Ÿ’ฐ Finance +127%
14 ๐Ÿ“ˆ Data +108%
15 ๐Ÿ›’ Ecommerce +104%
n=22,959

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. men
1 ๐Ÿง‘โ€๐Ÿ’ผ Human resources +79%
2 ๐Ÿง  Psychologist +62%
3 ๐Ÿ“ฐ Journalism +49%
4 ๐Ÿ‘จโ€โš•๏ธ Medical +33%
5 ๐Ÿ™‚ Support +29%
6 ๐Ÿค Community +24%
7 ๐Ÿ‘‹ Hospitality +22%
8 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +21%
9 ๐Ÿ‘Š Coach +20%
10 ๐Ÿ“ Blogging +20%
11 ๐Ÿ“ธ Model +14%
12 ๐Ÿ“ž Recruitment +12%
13 ๐Ÿ‘จโ€๐Ÿซ Education +11%
14 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law +8%
n=22,959


How do nomads describe themselves?

โ˜•๏ธ Coffee

๐Ÿ™‚ Optimist

๐Ÿ‡ฌ๐Ÿ‡ง Speaks English

๐Ÿ’‰ COVID vaccinated

โ›ฐ Outdoors

๐Ÿฅพ Hiking

n=22,959


๐Ÿ‘จโ€ Nomad men

# Tag % vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 โ˜•๏ธ Coffee 39% +30%
2 ๐Ÿ™‚ Optimist 31% +32%
3 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 30% +22%
4 ๐Ÿ’‰ COVID vaccinated 27% +21%
5 โ›ฐ Outdoors 27% +9%
6 ๐Ÿฅพ Hiking 26% +17%
7 ๐Ÿถ Dogs 26% +10%
8 ๐Ÿ’ช Fitness 26% +52%
9 ๐Ÿบ Beer 25% +126%
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% +13%
14 ๐Ÿท Wine 23% +2%
15 ๐Ÿ˜Ž Single 22% +36%
n=18,405

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women

# Tag % vs. ๐Ÿ‘จโ€
1 โ˜•๏ธ Coffee 30% -23%
2 โ›ฐ Outdoors 24% -8%
3 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 24% -18%
4 ๐Ÿถ Dogs 23% -9%
5 ๐Ÿ™‚ Optimist 23% -24%
6 ๐Ÿท Wine 23% -2%
7 ๐Ÿ’‰ COVID vaccinated 23% -17%
8 ๐Ÿฅพ Hiking 22% -14%
9 ๐Ÿ“– Reading 21% -11%
10 ๐Ÿต Tea 21% -1%
11 ๐Ÿง  Open-minded 19% -18%
12 ๐Ÿคธโ€โ™€๏ธ Yoga 19% +69%
13 โ˜€๏ธ Waking up early 19% -23%
14 โ›ฑ Beach 18% +4%
15 ๐Ÿธ Cocktails 17% -8%
n=5,680


๐Ÿ‘จ Nomad men vs. women

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿง” Have a beard +1,164%
2 ๐Ÿชœ Roost Stand +373%
3 โšฝ๏ธ Football +339%
4 ๐Ÿ‘จ No beard +338%
5 ๐Ÿง‘โ€ Short hair +260%
6 ๐ŸŽง Hardstyle music +227%
7 ๐ŸŽ Race sports +216%
8 ๐Ÿ’ Ice hockey +216%
9 ๐Ÿ Motorcycling +212%
10 ๐Ÿช‚ Dropout +204%
11 ๐Ÿ€ Basketball +199%
12 ๐Ÿ“ Table tennis +190%
13 ๐Ÿ‘ด Conservative politics +188%
14 ๐Ÿ‚ Skateboarding +177%
15 ๐Ÿ‘พ Gaming +175%
n=22,959

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ’„ Makeup +2,955%
2 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +273%
3 ๐Ÿ‘— Dress up +231%
4 โœจ Believe in astrology +231%
5 โœจ Astrology +229%
6 ๐Ÿ’ช Feminism +185%
7 ๐ŸŽจ Drawing +102%
8 ๐Ÿฆพ Disabled +91%
9 ๐Ÿ’ƒ Dancing +85%
10 ๐ŸŸฅ Red hair +78%
11 ๐Ÿ› Shopping +70%
12 ๐Ÿคธโ€โ™€๏ธ Yoga +69%
13 ๐ŸŒป Gardening +68%
14 ๐Ÿ‡ฐ๐Ÿ‡ท Speaks Korean +68%
15 โœ‹๐Ÿฟ Black +66%
n=22,959




๐Ÿ’‰ Nomads by vaccination

Vaccinated %
๐Ÿ’‰ COVID vaccinated
94%
๐Ÿ’‰ Not COVID vaccinated
6%
n=7,013

โค๏ธ Nomads by family

Relationship %
โค๏ธ Close to parents
81%
๐Ÿ’” Not close to parents
19%
n=1,754

๐Ÿ‘ถ Nomads by childhood

Childhood %
๐Ÿ˜Š Happy childhood
89%
๐Ÿ˜” Unhappy childhood
11%
n=1,905

๐Ÿก Homeownership amongst nomads

Homeownership %
๐Ÿก Homeowner
53%
๐Ÿก Not a homeowner
47%
n=2,063


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˜ In a relationship

๐Ÿณ๏ธโ€๐ŸŒˆ LGBT

๐ŸŽธ Punk music

n=22,959


๐Ÿ‘จโ€ Attractive men's traits

# Tag Diff
1 ๐Ÿ˜ In a relationship +137%
2 ๐Ÿ’‰ Not COVID vaccinated +87%
3 ๐Ÿก Homeowner +81%
4 ๐ŸŒŠ Free diving +77%
5 โœจ Believe in astrology +75%
6 ๐Ÿง Pessimist +74%
7 ๐Ÿ’ฌ Twitter +70%
8 ๐Ÿ€ Basketball +69%
9 ๐Ÿ‘ถ Parent +68%
10 ๐Ÿง‘โ€ Short hair +67%
11 ๐ŸŽง Hiphop music +63%
12 ๐Ÿก Not a homeowner +60%
13 ๐Ÿ Volleyball +57%
14 ๐ŸŽง Dubstep music +54%
15 ๐Ÿ iPhone +51%
16 โค๏ธ Happy childhood +50%
17 ๐Ÿ“ Table tennis +48%
18 ๐Ÿง” Have a beard +47%
19 ๐Ÿ’ Ice hockey +47%
20 ๐Ÿ Reggae music +46%
21 ๐Ÿ’ฐ Pop music +45%
22 ๐ŸŽง Drum & Bass music +45%
23 ๐ŸŽธ Metal music +44%
24 ๐Ÿงผ Clean freak +42%
25 ๐Ÿ’† Massage +42%
26 โค๏ธ My parents are together +42%
27 ๐Ÿฅš Soft boiled eggs +41%
28 ๐Ÿ’‰ COVID vaccinated +40%
29 ๐Ÿ’ฌ Facebook +40%
30 ๐ŸŽง House music +39%
n=22,959

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

# Tag Diff
1 ๐Ÿ’” My parents separated +353%
2 ๐Ÿ“ Table tennis +312%
3 ๐Ÿ Volleyball +269%
4 ๐Ÿณ๏ธโ€๐ŸŒˆ LGBT +259%
5 ๐Ÿ› Shopping +249%
6 ๐Ÿง’ Only child +225%
7 ๐ŸŽธ Punk music +223%
8 ๐Ÿ—ฝ Libertarian politics +206%
9 ๐Ÿƒ Running +188%
10 ๐ŸŸ Pescetarian +177%
11 ๐Ÿ‘จโ€๐ŸŽค Partying +166%
12 ๐Ÿงผ Clean freak +159%
13 ๐Ÿ’„ Makeup +159%
14 ๐Ÿšฌ Social smoker +156%
15 โ›ท Skiing +153%
16 ๐Ÿ˜ In a relationship +150%
17 ๐Ÿ‘— Dress up +148%
18 ๐Ÿ„ Surfing +148%
19 โšฝ๏ธ Football +144%
20 ๐Ÿพ Drinking alcohol +144%
21 ๐Ÿš Vanlife +141%
22 โœจ Astrology +133%
23 ๐ŸŽž Film making +129%
24 ๐Ÿบ Beer +129%
25 ๐Ÿšด Cycling +129%
26 ๐Ÿ Motorcycling +129%
27 ๐ŸŽง Techno music +127%
28 ๐ŸŽธ Indie rock music +125%
29 ๐ŸŽธ Acoustic music +120%
30 ๐ŸŽง Hiphop music +117%
n=22,959


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.

๐Ÿช‚ Paragliding

๐Ÿ’„ Makeup

๐ŸŽญ Swinging

๐Ÿช‚ Skydiving

๐Ÿ’ฌ Discord

๐Ÿชœ Nexstand

n=22,959


๐Ÿ‘จโ€ Unattractive men's traits

# Tag Diff
1 ๐Ÿ’„ Makeup -510%
2 ๐ŸŽญ Swinging -379%
3 ๐Ÿช‚ Skydiving -314%
4 ๐Ÿชœ Nexstand -214%
5 ๐ŸŽณ Bowling -157%
6 ๐Ÿš Urbex -107%
7 ๐Ÿฉ Samoyeds -86%
8 ๐Ÿ’ช Feminism -73%
9 ๐Ÿ˜Ž Single -72%
10 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -57%
11 ๐ŸŽง Trance music -54%
12 ๐Ÿช‚ Paragliding -51%
13 ๐ŸŽฑ Pool -51%
14 ๐Ÿ– Paleo -45%
15 ๐Ÿ Cricket -43%
16 ๐Ÿณ๏ธโ€๐ŸŒˆ Progressive politics -43%
17 ๐ŸŽž Film making -41%
18 ๐Ÿ™ Buddhist -39%
19 ๐Ÿฅš Hard boiled eggs -35%
20 ๐ŸŒป Gardening -30%
21 ๐ŸŒ Third Culture Kid -30%
22 ๐Ÿ‘… Sex positive -29%
23 ๐Ÿ˜ˆ Kink -28%
24 ๐ŸŽค Singing -27%
25 โšพ๏ธ Baseball -25%
26 ๐Ÿ“” Religious -21%
27 ๐Ÿฅ Frisbee -20%
28 ๐Ÿ Motorcycling -20%
29 ๐Ÿ•บ Breakdance -19%
30 ๐Ÿ› Shopping -18%
n=22,959

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

# Tag Diff
1 ๐Ÿ’ฅ Messy -1,693%
2 ๐Ÿช‚ Paragliding -921%
3 ๐Ÿ‘ด Conservative politics -423%
4 ๐Ÿ’ฌ Slack -323%
5 ๐Ÿ’ฌ Discord -274%
6 ๐ŸŒธ Anime -149%
7 ๐Ÿชœ Roost Stand -124%
8 ๐Ÿ’ฌ Snapchat -99%
9 ๐Ÿ˜ˆ Kink -89%
10 ๐Ÿธ Badminton -87%
11 ๐Ÿ’ฌ Instagram -74%
12 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -74%
13 ๐Ÿ‡ฐ๐Ÿ‡ท K-pop music -74%
14 ๐Ÿ– Carnivore -44%
15 โค๏ธ Happy childhood -41%
16 โœจ Believe in astrology -23%
17 ๐Ÿ˜ณ Introvert -13%
18 ๐Ÿšœ Country music -12%
19 ๐ŸŽ Kitesurfing -11%
20 ๐Ÿ’ฌ Facebook -10%
21 ๐Ÿ‘ถ Parent -8%
22 ๐Ÿ’ฌ Telegram -4%
23 ๐Ÿ– Paleo -2%
24 ๐ŸŽง Garage music -2%
n=22,959


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).

๐Ÿค Community

๐Ÿ“ฑ Mobile Dev

๐ŸŽจ UI/UX Design

๐Ÿ‘ฉโ€๐ŸŽจ Creative

๐Ÿ“Š SaaS

๐Ÿ“‡ Startup Founder

n=22,959


๐Ÿ‘จโ€ Attractive men's jobs

# Tag Diff
1 ๐Ÿ‘จโ€โš•๏ธ Medical +58%
2 ๐ŸŽจ UI/UX Design +43%
3 ๐Ÿ“ž Recruitment +41%
4 ๐Ÿ“Š SaaS +36%
5 ๐Ÿ‘พ Game Dev +34%
6 ๐Ÿ“ฑ Mobile Dev +30%
7 ๐Ÿค  Product Manager +29%
8 ๐Ÿ“‡ Startup Founder +21%
9 ๐Ÿ—ƒ Dev Ops +20%
10 ๐Ÿ›’ Ecommerce +20%
11 ๐Ÿ˜ Marketing +18%
12 ๐Ÿ’ช Fitness +17%
13 ๐Ÿ˜Ž VR Dev +17%
14 ๐Ÿ‘Š Coach +16%
15 ๐Ÿ’ป Software Dev +12%
16 ๐Ÿค‘ Sales +11%
17 ๐Ÿ“ˆ Data +11%
18 ๐Ÿ•ธ Web Dev +10%
19 ๐Ÿšš Logistics +10%
20 ๐Ÿƒ Sports +9%
21 ๐Ÿ’ฐ Crypto +8%
22 ๐Ÿ’ฐ Finance +4%
23 ๐Ÿค Community +2%
n=22,959

๐Ÿ‘ฑโ€โ™€๏ธ Attractive women's jobs

# Tag Diff
1 ๐Ÿค Community +163%
2 ๐Ÿ“ฑ Mobile Dev +118%
3 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +106%
4 ๐Ÿ“ Blogging +97%
5 ๐Ÿ“‡ Startup Founder +80%
6 ๐ŸŽจ UI/UX Design +72%
7 ๐Ÿ›’ Ecommerce +72%
8 ๐Ÿ“Š SaaS +66%
9 ๐Ÿ˜ Marketing +60%
10 ๐Ÿค  Product Manager +58%
11 ๐Ÿ’ฐ Finance +54%
12 ๐Ÿค‘ Sales +49%
13 ๐Ÿ‘จโ€๐Ÿซ Education +46%
14 ๐Ÿ‘Š Coach +45%
15 ๐Ÿ’ป Software Dev +26%
16 ๐Ÿ•ธ Web Dev +12%
n=22,959


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“ธ Model

๐Ÿ‘ฉโ€๐Ÿ’ผ Law

๐Ÿก Architecture

๐Ÿ“ฐ Journalism

n=22,959


๐Ÿ‘จโ€ Unattractive men's jobs

# Tag Diff
1 ๐Ÿšฉ Politics -260%
2 ๐Ÿ“ธ Model -95%
3 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law -86%
4 ๐Ÿก Architecture -85%
5 ๐Ÿ“ฐ Journalism -65%
6 ๐Ÿ‘‹ Hospitality -41%
7 ๐ŸŒถ Adult -35%
8 ๐Ÿง‘โ€๐Ÿ’ผ Human resources -35%
9 ๐Ÿ—บ Geo -32%
10 ๐Ÿ™‚ Support -31%
11 ๐Ÿ“ก Sysadmin -13%
12 ๐Ÿ‘จโ€๐Ÿซ Education -6%
13 ๐Ÿ‘ฉโ€๐ŸŽจ Creative -2%
n=22,959

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

# Tag Diff
1 ๐Ÿšฉ Politics -1,095%
2 ๐Ÿ˜Ž VR Dev -523%
3 ๐Ÿ‘‹ Hospitality -244%
4 ๐Ÿƒ Sports -79%
5 ๐Ÿ“ˆ Data -1%
n=22,959


Where do attractive people go?

๐Ÿ‘จโ€ Where attractive men travel to

# City Attractiveness
1 ๐Ÿ‡ต๐Ÿ‡น Ericeira 5
2 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 4.92
3 ๐Ÿ‡ฒ๐Ÿ‡พ Langkawi 4.92
4 ๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu 4.9
5 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas 4.8
6 ๐Ÿ‡จ๐Ÿ‡ท Tamarindo 4.76
7 ๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik 4.72
8 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.68
9 ๐Ÿ‡ช๐Ÿ‡ธ Mallorca 4.62
10 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.57
11 ๐Ÿ‡ช๐Ÿ‡ธ Ibiza 4.56
12 ๐Ÿ‡ณ๐Ÿ‡ด Bergen 4.56
13 ๐Ÿ‡ป๐Ÿ‡ณ Hoi An 4.54
14 ๐Ÿ‡ฐ๐Ÿ‡ท Busan 4.54
15 ๐Ÿ‡ฑ๐Ÿ‡ฆ Luang Prabang 4.54
16 ๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt 4.52
17 ๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita 4.49
18 ๐Ÿ‡ฟ๐Ÿ‡ฆ Johannesburg 4.49
19 ๐Ÿ‡บ๐Ÿ‡ธ Portland 4.47
20 ๐Ÿ‡ฆ๐Ÿ‡ท Mendoza 4.45
21 ๐Ÿ‡ฌ๐Ÿ‡ท Chania 4.45
22 ๐Ÿ‡ณ๐Ÿ‡ฟ Auckland 4.45
23 ๐Ÿ‡บ๐Ÿ‡ธ Orlando 4.45
24 ๐Ÿ‡ซ๐Ÿ‡ท Nice 4.43
25 ๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane 4.43
26 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 4.42
27 ๐Ÿ‡ป๐Ÿ‡ณ Hanoi 4.42
28 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 4.42
29 ๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown 4.42
30 ๐Ÿ‡ฎ๐Ÿ‡น Palermo 4.42
Based on attractiveness of visitors n=327,067

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

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 5
2 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.99
3 ๐Ÿ‡ฎ๐Ÿ‡น Amalfi 4.97
4 ๐Ÿ‡ฎ๐Ÿ‡น Genoa 4.95
5 ๐Ÿ‡ต๐Ÿ‡ฑ Warsaw 4.89
6 ๐Ÿ‡ต๐Ÿ‡ฑ Krakรณw 4.88
7 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.88
8 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 4.86
9 ๐Ÿ‡น๐Ÿ‡ญ Ko Samui 4.85
10 ๐Ÿ‡ฒ๐Ÿ‡ช Budva 4.84
11 ๐Ÿ‡ฐ๐Ÿ‡ท Busan 4.78
12 ๐Ÿ‡ฆ๐Ÿ‡น Salzburg 4.77
13 ๐Ÿ‡จ๐Ÿ‡ฑ Valparaรญso 4.76
14 ๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta 4.76
15 ๐Ÿ‡ธ๐Ÿ‡ฐ Bratislava 4.73
16 ๐Ÿ‡ฒ๐Ÿ‡ฆ Casablanca 4.72
17 ๐Ÿ‡ฒ๐Ÿ‡ช Kotor 4.71
18 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.69
19 ๐Ÿ‡บ๐Ÿ‡ธ Orlando 4.69
20 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.66
21 ๐Ÿ‡ซ๐Ÿ‡ท Strasbourg 4.65
22 ๐Ÿ‡ฎ๐Ÿ‡น Milan 4.64
23 ๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu 4.64
24 ๐Ÿ‡ต๐Ÿ‡น Ericeira 4.63
25 ๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik 4.63
26 ๐Ÿ‡บ๐Ÿ‡ธ Miami 4.63
27 ๐Ÿ‡ณ๐Ÿ‡ฑ The Hague 4.61
28 ๐Ÿ‡บ๐Ÿ‡ธ Portland 4.6
29 ๐Ÿ‡ช๐Ÿ‡ธ Gran Canaria 4.6
30 ๐Ÿ‡จ๐Ÿ‡พ Larnaca 4.58
Based on attractiveness of visitors n=327,067


And where do unattractive people go?

๐Ÿ‘จโ€ Where unattractive men travel to

# City Attractiveness
1 ๐Ÿ‡ฎ๐Ÿ‡ณ Goa 3.26
2 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 3.28
3 ๐Ÿ‡ฒ๐Ÿ‡ช Podgorica 3.42
4 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.53
5 ๐Ÿ‡ต๐Ÿ‡พ Asuncion 3.58
6 ๐Ÿ‡ช๐Ÿ‡ธ Alicante 3.58
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.69
8 ๐Ÿ‡ช๐Ÿ‡ฌ Cairo 3.69
9 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.69
10 ๐Ÿ‡ท๐Ÿ‡บ Moscow 3.72
11 ๐Ÿ‡บ๐Ÿ‡ฆ Lviv 3.76
12 ๐Ÿ‡ฎ๐Ÿ‡ฑ Jerusalem 3.77
13 ๐Ÿ‡ง๐Ÿ‡พ Minsk 3.77
14 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.79
15 ๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty 3.8
16 ๐Ÿ‡น๐Ÿ‡ท Antalya 3.81
17 ๐Ÿ‡จ๐Ÿ‡บ Havana 3.82
18 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 3.83
19 ๐Ÿ‡ช๐Ÿ‡ธ Bilbao 3.84
20 ๐Ÿ‡น๐Ÿ‡ญ Pai 3.85
21 ๐Ÿ‡ถ๐Ÿ‡ฆ Doha 3.85
22 ๐Ÿ‡จ๐Ÿ‡ญ Geneva 3.85
23 ๐Ÿ‡ฆ๐Ÿ‡ฑ Tirana 3.85
24 ๐Ÿ‡ต๐Ÿ‡ฑ Gdansk 3.86
25 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 3.87
26 ๐Ÿ‡ฎ๐Ÿ‡ฉ Kuta 3.88
27 ๐Ÿ‡บ๐Ÿ‡ธ Washington 3.88
28 ๐Ÿ‡น๐Ÿ‡ผ Taipei 3.88
29 ๐Ÿ‡ฎ๐Ÿ‡ณ Delhi 3.88
30 ๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi 3.9
Based on unattractiveness of visitors n=327,067

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

# City Attractiveness
1 ๐Ÿ‡ช๐Ÿ‡จ Cuenca 2.89
2 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.2
3 ๐Ÿ‡ช๐Ÿ‡จ Quito 3.21
4 ๐Ÿ‡ง๐Ÿ‡ช Antwerp 3.23
5 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 3.45
6 ๐Ÿ‡ฆ๐Ÿ‡บ Perth 3.45
7 ๐Ÿ‡ณ๐Ÿ‡ฎ San Juan del Sur 3.47
8 ๐Ÿ‡บ๐Ÿ‡ธ New Orleans 3.5
9 ๐Ÿ‡ต๐Ÿ‡ท San Juan 3.5
10 ๐Ÿ‡ฌ๐Ÿ‡ง Manchester 3.54
11 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.54
12 ๐Ÿ‡ฏ๐Ÿ‡ด Amman 3.62
13 ๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane 3.62
14 ๐Ÿ‡ฌ๐Ÿ‡ง Liverpool 3.63
15 ๐Ÿ‡ณ๐Ÿ‡ฟ Wellington 3.63
16 ๐Ÿ‡จ๐Ÿ‡ด Bogota 3.64
17 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guanajuato 3.65
18 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.71
19 ๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende 3.71
20 ๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar 3.73
21 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.74
22 ๐Ÿ‡ฌ๐Ÿ‡ง Glasgow 3.75
23 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.77
24 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.77
25 ๐Ÿ‡ฌ๐Ÿ‡ง Bristol 3.78
26 ๐Ÿ‡ฒ๐Ÿ‡ฝ San Cristรณbal de las Casas 3.79
27 ๐Ÿ‡ฒ๐Ÿ‡ฝ Merida 3.79
28 ๐Ÿ‡ฎ๐Ÿ‡ฉ Kuta 3.79
29 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel 3.79
30 ๐Ÿ‡ต๐Ÿ‡ช Arequipa 3.81
Based on unattractiveness of visitors n=327,067



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