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The 2025 State of Digital Nomads

Explore the world


Who is the average nomad in 2025?

๐Ÿ‘ถ 36-year old

๐Ÿณ๏ธโ€๐ŸŒˆ Progressive

๐Ÿ’ซ Not religious

๐Ÿ˜Ž Single

โœ‹๐Ÿป White

๐Ÿ‘‹ Heterosexual

๐Ÿ‘จ โ€ Man

๐ŸŽ“ with a
Bachelor's

๐Ÿ’ป works as a
Software Dev

๐Ÿก from
a Home office

๐Ÿ’ฐ makes
$85,000 / y

โ˜•๏ธ loves
Coffee

๐Ÿฅฉ eats meat

๐Ÿฅพ works out by
Hiking

๐Ÿ‡ฏ๐Ÿ‡ต loves
Tokyo most

๐Ÿ’‰ is vaccinated

๐Ÿƒ produces 74% less COโ‚‚

6๏ธโƒฃ and stays for
6 months

n=36,628


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 Nomads.com 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. Nomads.com 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 Nomads.com 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 "Nomads.com" (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 Nomads.com and the fastest growing remote work hubs of 2025.

Last updated: 7 minutes ago

๐Ÿ‘ถ Nomads by age

Age %
20
0.2%
22
0.2%
23
0.2%
24
1%
25
1%
26
1%
27
2%
28
2%
29
2%
30
3%
31
5%
32
7%
33
7%
34
6%
35
6%
36
7%
37
6%
38
6%
39
5%
40
4%
41
4%
42
3%
43
3%
44
2%
45
2%
n=1,203

โ›ณ๏ธ Nomads by nationality

# Country People %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 41,836,478 44%
2 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 6,645,292 7%
3 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 4,347,560 5%
4 ๐Ÿ‡ท๐Ÿ‡บ Russia 4,343,860 5%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 3,788,852 4%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 3,204,244 3%
7 ๐Ÿ‡ง๐Ÿ‡ท Brazil 2,353,233 2%
8 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 2,245,931 2%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 1,727,924 2%
10 ๐Ÿ‡ช๐Ÿ‡ธ Spain 1,653,923 2%
11 ๐Ÿ‡ฎ๐Ÿ‡ณ India 1,480,020 2%
12 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine 1,309,818 1%
13 ๐Ÿ‡ฎ๐Ÿ‡น Italy 1,258,017 1%
14 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1,124,816 1%
15 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 958,313 1%
16 ๐Ÿ‡ฆ๐Ÿ‡น Austria 728,910 1%
17 ๐Ÿ‡ธ๐Ÿ‡ช Sweden 658,609 1%
18 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland 629,009 1%
19 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 625,309 1%
20 ๐Ÿ‡น๐Ÿ‡ท Turkey 606,808 1%
21 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel 588,308 1%
22 ๐Ÿ‡ง๐Ÿ‡ช Belgium 547,608 1%
23 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 529,107 1%
24 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 521,707 1%
25 ๐Ÿ‡ต๐Ÿ‡น Portugal 495,807 1%
26 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 492,107 1%
27 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 481,007 1%
28 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 469,906 0%
29 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 447,706 0%
30 ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand 429,206 0%
n=25,643

๐Ÿ‘ถ Nomads by gender

Gender %
๐Ÿ‘จโ€ Men
91%
๐Ÿ‘ฑโ€โ™€๏ธ Women
8%
๐Ÿง‘ Other
0%
Last 30 days. n=279

๐Ÿ‘€ Nomads by sexuality

Sexuality %
๐Ÿ‘‹ Heterosexual
87%
๐Ÿฆ„ Bisexual
8%
๐Ÿณ๏ธโ€๐ŸŒˆ Gay or lesbian
5%
n=15,509

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=8,007

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=7,246

๐ŸŽ“ Education

Education %
๐ŸšŒ High School
10%
๐ŸŽ“ Higher education
90%
๐Ÿ“œ Bachelor's
54%
๐ŸŽ“ Master's
34%
๐Ÿ‘ฉโ€๐Ÿซ PhD
3%
n=16,471

โค๏ธ Nomads by relationship

Relationship %
๐Ÿ˜Ž Single
67%
๐Ÿ˜ In a relationship
33%
n=8,954

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=55,240

๐Ÿ’ฐ Nomads by income

Income %
< $25k / y
6%
$25k - $50k / y
15%
$50k - $100k / y
34%
$100k - $250k / y
35%
> $250k - $1M / y
9%
> $1M / y
2%
Average $123,923 / y
Median $85,000 / y
n=4,765

๐Ÿ’ฐ Nomads by employment

Employment type %
Full time
39%
Freelance
18%
Startup founder
18%
Full time contractor
9%
Agency
8%
Other
5%
Part time
2%
Part time contractor
1%
n=5,781


๐Ÿก Where do nomads work from

Place %
๐Ÿก Home office
59%
๐Ÿฌ Coworking
15%
โ˜•๏ธ Cafe
8%
๐Ÿข Office
7%
๐Ÿฝ Dining table
3%
๐Ÿ›‹ Couch
3%
๐Ÿ› Bed
2%
๐Ÿช‘ Balcony
1%
๐Ÿš Van
1%
๐Ÿ”ช Kitchen
0%
๐Ÿ’ฆ Pool
0%
๐Ÿ›ฅ Boat
0%
๐Ÿชด Garden
0%
๐Ÿ“š Library
0%
๐Ÿก En รงok รงalฤฑลŸtฤฑฤŸฤฑnฤฑz yeri seรงin
0%
n=4,734

๐Ÿ’ฌ What messaging apps nomads use?

Messaging app %
Telegram
48%
Whatsapp
42%
Twitter
5%
Facebook
2%
Snapchat
2%
WeChat
0%
LINE
0%
Slack
0%
n=5,204


โš–๏ธ Nomad men by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
46%
โš–๏ธ Non-progressive
54%
๐Ÿ—ฝ Libertarian
27%
โš–๏ธ Centrist
21%
๐Ÿ‘ด Conservative
6%
n=3,442

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=796


What do nomads eat?

๐Ÿฅฉ 76% of ๐Ÿ‘จโ€ men eat meat

๐Ÿฅฉ 57% 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=7,393


๐Ÿ• Nomad men by diet

Diet %
๐Ÿฅฉ Eats meat
76%
๐Ÿšซ Does not eat meat
24%
๐Ÿฅ‘ Vegan
10%
๐Ÿฅ’ Vegetarian
10%
๐ŸŸ Pescetarian
4%
n=5,439

๐Ÿ• Nomad women by diet

Diet %
๐Ÿฅฉ Eats meat
57%
๐Ÿšซ Does not eat meat
43%
๐Ÿฅ’ Vegetarian
18%
๐Ÿฅ‘ Vegan
14%
๐ŸŸ Pescetarian
10%
n=1,199


How do nomads work out?

๐Ÿฅพ Hiking

๐Ÿ’ช Fitness

๐Ÿƒ Running

๐Ÿคธโ€โ™€๏ธ Yoga

๐ŸŠ Swimming

๐Ÿšด Cycling

n=14,321


๐Ÿ˜… Nomad men by sports

Sport %
๐Ÿ’ช Fitness
49%
๐Ÿฅพ Hiking
48%
๐Ÿƒ Running
29%
๐Ÿšด Cycling
25%
๐ŸŠ Swimming
24%
๐Ÿคธโ€โ™€๏ธ Yoga
21%
๐Ÿ„ Surfing
18%
โ›ฐ Climbing
16%
๐Ÿ‚ Snowboarding
16%
๐ŸŒŠ Diving
15%
โ›ท Skiing
15%
๐ŸŽพ Tennis
14%
๐Ÿ Motorcycling
13%
๐Ÿ’ช Fight sports
11%
๐Ÿ’ช Crossfit
9%
n=10,351

๐Ÿ˜… Nomad women by sports

Sport %
๐Ÿฅพ Hiking
51%
๐Ÿคธโ€โ™€๏ธ Yoga
44%
๐Ÿ’ช Fitness
40%
๐ŸŠ Swimming
24%
๐Ÿƒ Running
21%
๐Ÿšด Cycling
17%
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=2,495


Where do nomads like to go most?

๐Ÿ‡ฏ๐Ÿ‡ต Tokyo

๐Ÿ‡ต๐Ÿ‡น Portimรฃo

๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo

๐Ÿ‡บ๐Ÿ‡ธ Chicago

๐Ÿ‡ง๐Ÿ‡ฌ Varna

๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik

n=368,908


๐Ÿ˜ Most liked cities by men

# City Rating
1 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 4.62
2 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 4.58
3 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 4.55
4 ๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi 4.55
5 ๐Ÿ‡ต๐Ÿ‡ฑ Warsaw 4.50
6 ๐Ÿ‡ซ๐Ÿ‡ท Paris 4.50
7 ๐Ÿ‡ฐ๐Ÿ‡ท Seoul 4.44
8 ๐Ÿ‡ฌ๐Ÿ‡ท Athens 4.38
9 ๐Ÿ‡บ๐Ÿ‡ธ New York City 4.38
10 ๐Ÿ‡ต๐Ÿ‡น Porto 4.38
11 ๐Ÿ‡ฉ๐Ÿ‡ช Munich 4.29
12 ๐Ÿ‡ฌ๐Ÿ‡น Antigua 4.17
13 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 4.17
14 ๐Ÿ‡ช๐Ÿ‡ธ Valencia 4.17
15 ๐Ÿ‡ฒ๐Ÿ‡พ Penang 4.17
n=6,770

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‡บ๐Ÿ‡ธ Los Angeles 3.75
5 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 3.33
6 ๐Ÿ‡ป๐Ÿ‡ณ Da Nang 3.00
7 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires 2.50
n=6,770


๐ŸŒ† Most visited cities

# City % visited
1 ๐Ÿ‡ฌ๐Ÿ‡ง London 2.24%
2 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 2.13%
3 ๐Ÿ‡บ๐Ÿ‡ธ New York City 1.52%
4 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona 1.5%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris 1.49%
6 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin 1.49%
7 ๐Ÿ‡ต๐Ÿ‡น Lisbon 1.47%
8 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam 1.22%
9 ๐Ÿ‡บ๐Ÿ‡ธ San Francisco 1.17%
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‡ฏ๐Ÿ‡ต Tokyo 0.88%
15 ๐Ÿ‡น๐Ÿ‡ท Istanbul 0.86%
16 ๐Ÿ‡บ๐Ÿ‡ธ Los Angeles 0.85%
17 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 0.82%
18 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 0.79%
19 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 0.79%
20 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 0.74%
21 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 0.72%
22 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires 0.68%
23 ๐Ÿ‡จ๐Ÿ‡ด Medellรญn 0.64%
24 ๐Ÿ‡ท๐Ÿ‡บ Moscow 0.61%
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‡น๐Ÿ‡ญ Phuket 0.53%
29 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong 0.53%
30 ๐Ÿ‡ฐ๐Ÿ‡ท Seoul 0.52%
n=368,908

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‡น๐Ÿ‡ท Turkey 2%
18 ๐Ÿ‡จ๐Ÿ‡ด Colombia 1%
19 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1%
20 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 1%
21 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia 1%
22 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 1%
23 ๐Ÿ‡ฎ๐Ÿ‡ณ India 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%
30 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates 1%
n=368,908

๐Ÿƒ Avg. COโ‚‚ by member traveling

Year COโ‚‚
2013
674 kg/y
2014
1,001 kg/y
2015
1,098 kg/y
2016
1,309 kg/y
2017
1,491 kg/y
2018
1,587 kg/y
2019
1,606 kg/y
2020
1,005 kg/y
2021
1,010 kg/y
2022
1,601 kg/y
2023
1,772 kg/y
2024
1,649 kg/y
2025
4,531 kg/y
Average 1,230 kg/y
Median 1,309 kg/y
Based on 368,908 trips by 14,493 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 1,309 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 +25%
2 ๐Ÿ‡ต๐Ÿ‡น Lisbon -15%
3 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona -12%
4 ๐Ÿ‡ฌ๐Ÿ‡ง London -20%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris -19%
6 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin -1%
7 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam +7%
8 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai -3%
9 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu +1%
10 ๐Ÿ‡น๐Ÿ‡ท Istanbul +9%
11 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore +13%
12 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City -23%
13 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo +11%
14 ๐Ÿ‡ญ๐Ÿ‡บ Budapest +16%
15 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur +29%
median temp=18°C; n=368,908

๐Ÿ‘ฑโ€โ™€๏ธ Where women go most

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‡ต๐Ÿ‡น Lisbon +18%
2 ๐Ÿ‡ฌ๐Ÿ‡ง London +26%
3 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona +13%
4 ๐Ÿ‡น๐Ÿ‡ญ Bangkok -20%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris +23%
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City +29%
7 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai +4%
8 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin +1%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam -6%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu -1%
11 ๐Ÿ‡ฎ๐Ÿ‡น Rome +20%
12 ๐Ÿ‡น๐Ÿ‡ท Istanbul -8%
13 ๐Ÿ‡บ๐Ÿ‡ธ New York City +10%
14 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud +26%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo -10%
median temp=18°C; n=368,908


๐Ÿ‘จ Where men go more

# Tag vs. women
1 ๐Ÿ‡ท๐Ÿ‡บ Russia +74%
2 ๐Ÿ‡ต๐Ÿ‡ฑ Poland +69%
3 ๐Ÿ‡ท๐Ÿ‡ด Romania +57%
4 ๐Ÿ‡ฌ๐Ÿ‡ช Georgia +41%
5 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong +26%
6 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates +26%
7 ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand +25%
8 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia +23%
9 ๐Ÿ‡ท๐Ÿ‡ธ Serbia +21%
10 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia +20%
11 ๐Ÿ‡จ๐Ÿ‡ณ China +19%
12 ๐Ÿ‡ณ๐Ÿ‡ด Norway +19%
13 ๐Ÿ‡ต๐Ÿ‡ญ Philippines +18%
14 ๐Ÿ‡ธ๐Ÿ‡ช Sweden +17%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Japan +17%
median temp=13°C; n=368,908

๐Ÿ‘ฑโ€โ™€๏ธ Where women go more

# Tag vs. men
1 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa +54%
2 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica +49%
3 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico +40%
4 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom +28%
5 ๐Ÿ‡ญ๐Ÿ‡ท Croatia +22%
6 ๐Ÿ‡จ๐Ÿ‡ฑ Chile +19%
7 ๐Ÿ‡ซ๐Ÿ‡ท France +18%
8 ๐Ÿ‡ฎ๐Ÿ‡น Italy +16%
9 ๐Ÿ‡ต๐Ÿ‡ช Peru +13%
10 ๐Ÿ‡ฌ๐Ÿ‡ท Greece +12%
11 ๐Ÿ‡ต๐Ÿ‡น Portugal +11%
12 ๐Ÿ‡ฆ๐Ÿ‡บ Australia +8%
13 ๐Ÿ‡ช๐Ÿ‡ธ Spain +8%
14 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland +8%
15 ๐Ÿ‡บ๐Ÿ‡ธ United States +6%
median temp=18°C; n=368,908


๐Ÿ˜ Most liked countries

# Country Rating
1 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 4.85
2 ๐Ÿ‡ญ๐Ÿ‡ท Croatia 4.6
3 ๐Ÿ‡ง๐Ÿ‡ฆ Bosnia 4.55
4 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 4.5
5 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 4.45
6 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 4.4
7 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 4.4
8 ๐Ÿ‡ช๐Ÿ‡ช Estonia 4.4
9 ๐Ÿ‡ญ๐Ÿ‡บ Hungary 4.35
10 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 4.3
11 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 4.15
12 ๐Ÿ‡ซ๐Ÿ‡ฎ Finland 4.15
13 ๐Ÿ‡ฌ๐Ÿ‡น Guatemala 4.15
14 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 4.15
15 ๐Ÿ‡ฐ๐Ÿ‡ฟ Kazakhstan 4.15
n=4,016

๐Ÿคฎ Least liked countries

# Country Rating
1 ๐Ÿ‡จ๐Ÿ‡บ Cuba 1
2 ๐Ÿ‡ช๐Ÿ‡น Ethiopia 1.65
3 ๐Ÿ‡ฎ๐Ÿ‡ท Iran 1.65
4 ๐Ÿ‡ญ๐Ÿ‡ณ Honduras 1.65
5 ๐Ÿ‡ฑ๐Ÿ‡ฐ Sri Lanka 2.1
6 ๐Ÿ‡ฒ๐Ÿ‡น Malta 2.15
7 ๐Ÿ‡จ๐Ÿ‡ฑ Chile 2.15
8 ๐Ÿ‡จ๐Ÿ‡พ Cyprus 2.3
9 ๐Ÿ‡ธ๐Ÿ‡ด Somalia 2.5
10 ๐Ÿ‡น๐Ÿ‡ฟ Tanzania 2.5
11 ๐Ÿ‡ฌ๐Ÿ‡ฎ Gibraltar 2.5
12 ๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg 2.5
13 ๐Ÿ‡ป๐Ÿ‡ช Venezuela 2.5
14 ๐Ÿ‡ธ๐Ÿ‡ณ Senegal 2.5
15 ๐Ÿ‡ง๐Ÿ‡ณ Brunei 2.5
n=4,016


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=359,287

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

Duration %
< 7 days
0%
7 - 30 days
59%
30 - 90 days
28%
90+ days
14%
Average 186 days (6 months)
n=359,287





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=24,289


๐Ÿ‘จ Nomad men work as

# Work % vs. women
1 ๐Ÿ’ป Software Dev 34% +252%
2 ๐Ÿ•ธ Web Dev 28% +263%
3 ๐Ÿ“‡ Startup Founder 28% +136%
4 ๐Ÿ˜ Marketing 15% -1%
5 ๐Ÿ“Š SaaS 13% +193%
6 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 13% -18%
7 ๐ŸŽจ UI/UX Design 11% +38%
8 ๐Ÿค  Product Manager 11% +68%
9 ๐Ÿ’ฐ Crypto 11% +252%
10 ๐Ÿ“ˆ Data 11% +107%
11 ๐Ÿ“ฑ Mobile Dev 11% +348%
12 ๐Ÿ’ฐ Finance 10% +127%
13 ๐Ÿ›’ Ecommerce 9% +100%
14 ๐Ÿค‘ Sales 7% +79%
15 ๐Ÿ‘จโ€๐Ÿซ Education 6% -11%
n=19,576

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women work as

# Work % vs. men
1 ๐Ÿ˜ Marketing 16% +1%
2 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 15% +23%
3 ๐Ÿ“‡ Startup Founder 12% -58%
4 ๐Ÿ’ป Software Dev 10% -72%
5 ๐ŸŽจ UI/UX Design 8% -28%
6 ๐Ÿ•ธ Web Dev 8% -72%
7 ๐Ÿ“ Blogging 8% +23%
8 ๐Ÿค Community 8% +24%
9 ๐Ÿ‘จโ€๐Ÿซ Education 7% +12%
10 ๐Ÿ‘Š Coach 7% +25%
11 ๐Ÿค  Product Manager 7% -41%
12 ๐Ÿ“ˆ Data 5% -52%
13 ๐Ÿ“Š SaaS 5% -66%
14 ๐Ÿ’ฐ Finance 4% -56%
15 ๐Ÿ›’ Ecommerce 4% -50%
n=5,773


๐Ÿ‘จ Nomad men vs. women

# Tag vs. women
1 ๐Ÿ›ก๏ธ InfoSec +401%
2 ๐Ÿ‘พ Game Dev +352%
3 ๐Ÿ“ก Sysadmin +352%
4 ๐Ÿ“ฑ Mobile Dev +348%
5 ๐Ÿ—ƒ Dev Ops +341%
6 ๐Ÿ•ธ Web Dev +263%
7 ๐Ÿ’ฐ Crypto +252%
8 ๐Ÿ’ป Software Dev +252%
9 ๐Ÿ’Ž OF +195%
10 ๐Ÿ“Š SaaS +193%
11 ๐Ÿ˜Ž VR Dev +171%
12 ๐Ÿ“‡ Startup Founder +136%
13 ๐Ÿƒ Sports +130%
14 ๐Ÿ’ฐ Finance +127%
15 ๐Ÿ—บ Geo +124%
n=24,289

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. men
1 ๐Ÿง‘โ€๐Ÿ’ผ Human resources +68%
2 ๐Ÿ“ฐ Journalism +49%
3 ๐Ÿ‘จโ€โš•๏ธ Medical +41%
4 ๐Ÿง  Psychologist +39%
5 ๐Ÿ™‚ Support +34%
6 ๐Ÿ‘Š Coach +25%
7 ๐Ÿค Community +24%
8 ๐Ÿ“ Blogging +23%
9 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +23%
10 ๐Ÿ‘‹ Hospitality +22%
11 ๐Ÿ“ž Recruitment +17%
12 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law +13%
13 ๐Ÿ‘จโ€๐Ÿซ Education +12%
14 ๐Ÿ“ธ Model +9%
15 ๐Ÿ˜ Marketing +1%
n=24,289


How do nomads describe themselves?

โ˜•๏ธ Coffee

๐Ÿ‡ฌ๐Ÿ‡ง Speaks English

๐Ÿ™‚ Optimist

โ›ฐ Outdoors

๐Ÿ’‰ COVID vaccinated

๐Ÿถ Dogs

n=24,289


๐Ÿ‘จโ€ Nomad men

# Tag % vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 โ˜•๏ธ Coffee 40% +29%
2 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 32% +25%
3 ๐Ÿ™‚ Optimist 32% +32%
4 ๐Ÿ’‰ COVID vaccinated 28% +20%
5 โ›ฐ Outdoors 27% +7%
6 ๐Ÿ’ช Fitness 27% +51%
7 ๐Ÿฅพ Hiking 26% +16%
8 ๐Ÿถ Dogs 26% +10%
9 โ˜€๏ธ Waking up early 25% +28%
10 ๐Ÿบ Beer 25% +129%
11 ๐ŸŒ™ Staying up late 24% +55%
12 ๐Ÿง  Open-minded 24% +21%
13 ๐Ÿ“– Reading 24% +10%
14 ๐Ÿ˜Ž Single 23% +36%
15 ๐Ÿท Wine 23% +1%
n=19,576

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women

# Tag % vs. ๐Ÿ‘จโ€
1 โ˜•๏ธ Coffee 31% -23%
2 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 26% -20%
3 โ›ฐ Outdoors 25% -7%
4 ๐Ÿ™‚ Optimist 24% -24%
5 ๐Ÿถ Dogs 24% -9%
6 ๐Ÿท Wine 23% -1%
7 ๐Ÿ’‰ COVID vaccinated 23% -17%
8 ๐Ÿฅพ Hiking 23% -14%
9 ๐Ÿ“– Reading 22% -9%
10 ๐Ÿต Tea 21% -1%
11 ๐Ÿง  Open-minded 20% -17%
12 ๐Ÿคธโ€โ™€๏ธ Yoga 20% +72%
13 โ˜€๏ธ Waking up early 19% -22%
14 โ›ฑ Beach 18% +8%
15 ๐Ÿ’ช Fitness 18% -34%
n=5,773


๐Ÿ‘จ Nomad men vs. women

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿง” Have a beard +1,526%
2 ๐Ÿชœ Roost Stand +423%
3 ๐Ÿ‘จ No beard +357%
4 โšฝ๏ธ Football +349%
5 ๐Ÿง‘โ€ Short hair +281%
6 โ™Ÿ๏ธ Chess +236%
7 ๐Ÿ’ Ice hockey +233%
8 ๐Ÿช‚ Dropout +226%
9 ๐ŸŽ Race sports +224%
10 ๐Ÿ Motorcycling +215%
11 ๐ŸŽง Hardstyle music +208%
12 ๐Ÿ€ Basketball +205%
13 ๐Ÿ‘ด Conservative politics +185%
14 ๐Ÿ“ Table tennis +179%
15 ๐ŸŽธ Metal music +174%
n=24,289

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ’„ Makeup +3,268%
2 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +287%
3 ๐Ÿ‘— Dress up +234%
4 โœจ Astrology +219%
5 ๐Ÿ’ช Feminism +202%
6 โœจ Believe in astrology +165%
7 ๐ŸŽจ Drawing +104%
8 ๐Ÿฆพ Disabled +99%
9 ๐ŸŸฅ Red hair +94%
10 ๐Ÿ’ƒ Dancing +93%
11 ๐Ÿ› Shopping +80%
12 ๐ŸŒป Gardening +72%
13 ๐Ÿคธโ€โ™€๏ธ Yoga +72%
14 โœ‹๐Ÿฟ Black +65%
15 ๐ŸŸ Pescetarian +56%
n=24,289




๐Ÿ’‰ Nomads by vaccination

Vaccinated %
๐Ÿ’‰ COVID vaccinated
93%
๐Ÿ’‰ Not COVID vaccinated
7%
n=7,789

โค๏ธ Nomads by family

Relationship %
โค๏ธ Close to parents
81%
๐Ÿ’” Not close to parents
19%
n=2,121

๐Ÿ‘ถ Nomads by childhood

Childhood %
๐Ÿ˜Š Happy childhood
89%
๐Ÿ˜” Unhappy childhood
11%
n=2,263

๐Ÿก Homeownership amongst nomads

Homeownership %
๐Ÿก Homeowner
54%
๐Ÿก Not a homeowner
46%
n=2,428


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 Nomads.com's dating app. It does not show any of these traits in their profile when they rate them. People who are rated as attractive based on their photo are more likely to have these traits. 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˜ In a relationship

๐Ÿณ๏ธโ€๐ŸŒˆ LGBT

๐Ÿ Volleyball

๐Ÿ“ Table tennis

๐Ÿ› Shopping

n=24,289


๐Ÿ‘จโ€ Most attractive men's traits

# Tag Diff
1 ๐Ÿ˜ In a relationship +135%
2 ๐Ÿธ Padel +76%
3 ๐ŸŽง Hiphop music +63%
4 ๐Ÿ’ Ice hockey +62%
5 ๐ŸŽง Dubstep music +60%
6 ๐Ÿ€ Basketball +57%
7 โœจ Believe in astrology +56%
8 ๐Ÿ’ฅ Messy +56%
9 ๐Ÿก Homeowner +55%
10 ๐Ÿฅš Soft boiled eggs +54%
11 ๐Ÿก Not a homeowner +53%
12 ๐ŸŽ Kitesurfing +52%
13 ๐Ÿง‘โ€ Short hair +51%
14 ๐Ÿ’ฌ Twitter +49%
15 ๐Ÿ iPhone +49%
16 ๐Ÿ‘ถ Parent +44%
17 ๐ŸŽง House music +42%
18 ๐ŸŒŠ Free diving +39%
19 ๐Ÿ’ช Crossfit +39%
20 ๐Ÿ‚ Skateboarding +38%
21 ๐Ÿ Reggae music +38%
22 ๐Ÿ’” Not close to my parents +37%
23 ๐Ÿ’‰ Not COVID vaccinated +37%
24 ๐Ÿ‘ผ Youngest child +36%
25 โ›ฐ Climbing +36%
26 ๐ŸŽง Hardstyle music +36%
27 ๐Ÿ’‰ COVID vaccinated +36%
28 โ›ณ๏ธ Golf +35%
29 โค๏ธ Happy childhood +35%
30 โšฝ๏ธ Football +35%
n=24,289

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

# Tag Diff
1 ๐Ÿ’” My parents separated +274%
2 ๐Ÿณ๏ธโ€๐ŸŒˆ LGBT +257%
3 ๐Ÿ› Shopping +242%
4 ๐Ÿ Volleyball +232%
5 ๐Ÿ“ Table tennis +219%
6 ๐Ÿง’ Only child +205%
7 ๐Ÿƒ Running +190%
8 ๐Ÿ’„ Makeup +183%
9 ๐Ÿงผ Clean freak +181%
10 ๐Ÿ‘จโ€๐ŸŽค Partying +177%
11 ๐Ÿ—ฝ Libertarian politics +167%
12 ๐Ÿ‘— Dress up +164%
13 โฌœ๏ธ Has no tattoos +161%
14 ๐Ÿ˜ In a relationship +151%
15 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +149%
16 ๐Ÿฅš Hard boiled eggs +137%
17 ๐Ÿพ Drinking alcohol +130%
18 ๐ŸŽž Film making +129%
19 โ›ท Skiing +128%
20 ๐Ÿšฌ Social smoker +126%
21 ๐Ÿ„ Surfing +126%
22 ๐Ÿ Motorcycling +126%
23 ๐ŸŸ Pescetarian +124%
24 ๐Ÿš Vanlife +117%
25 ๐Ÿบ Beer +116%
26 ๐Ÿšด Cycling +114%
27 ๐ŸŠ Swimming +113%
28 โœจ Astrology +111%
29 ๐ŸŽค Singing +108%
30 ๐ŸŽ’ Backpacking +108%
n=24,289


And unattractive traits?

Attractiveness is based on the proportion of people liking or disliking a person based on their photo on Nomads.com'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

๐Ÿง— Bouldering

๐ŸŽญ Swinging

๐ŸŒธ Anime

โ™Ÿ๏ธ Chess

n=24,289


๐Ÿ‘จโ€ Most unattractive men's traits

# Tag Diff
1 ๐Ÿ˜ˆ FetLife -1,954%
2 ๐Ÿง— Bouldering -1,270%
3 ๐ŸŽญ Swinging -786%
4 ๐Ÿ’„ Makeup -504%
5 ๐Ÿช‚ Skydiving -381%
6 ๐Ÿ„ Bodyboarding -222%
7 ๐Ÿชœ Nexstand -198%
8 ๐Ÿ’ฌ Discord -189%
9 ๐ŸŽณ Bowling -156%
10 ๐Ÿ’ฌ Snapchat -146%
11 โ™Ÿ๏ธ Chess -137%
12 ๐Ÿช‚ Paragliding -126%
13 ๐ŸŒธ Anime -113%
14 ๐Ÿ“” Religious -112%
15 ๐Ÿ˜Ž Single -67%
16 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -65%
17 ๐Ÿ’ฌ Instagram -64%
18 ๐ŸŒป Gardening -61%
19 ๐ŸŽฑ Pool -60%
20 ๐Ÿ•บ Breakdance -54%
21 ๐ŸŽง Trance music -53%
22 ๐ŸŽง Garage music -53%
23 ๐Ÿš Urbex -47%
24 ๐Ÿ Cricket -46%
25 ๐Ÿ‘… Sex positive -44%
26 ๐Ÿ˜ˆ Kink -44%
27 ๐Ÿ‡ฐ๐Ÿ‡ท K-pop music -41%
28 ๐ŸŽจ Drawing -35%
29 โšพ๏ธ Baseball -31%
30 ๐Ÿฅš Hard boiled eggs -29%
n=24,289

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

# Tag Diff
1 ๐Ÿ’ฅ Messy -2,067%
2 ๐Ÿช‚ Paragliding -1,166%
3 ๐Ÿšฌ Daily smoker -829%
4 ๐Ÿ’ฌ Slack -772%
5 ๐Ÿ‘ด Conservative politics -547%
6 ๐ŸŒธ Anime -519%
7 โ™Ÿ๏ธ Chess -491%
8 ๐Ÿ‡ฐ๐Ÿ‡ท K-pop music -266%
9 ๐Ÿ’ฌ Snapchat -238%
10 ๐Ÿšœ Country music -181%
11 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -181%
12 ๐Ÿชœ Roost Stand -125%
13 ๐Ÿธ Badminton -119%
14 ๐Ÿ– Carnivore -79%
15 ๐Ÿก Not a homeowner -79%
16 โค๏ธ Happy childhood -72%
17 โœจ Believe in astrology -65%
18 ๐ŸŽ Kitesurfing -35%
19 ๐Ÿ’ฌ Facebook -33%
20 ๐Ÿ‘ถ Parent -28%
21 ๐ŸŽง Garage music -18%
22 ๐ŸŽฑ Pool -18%
23 ๐Ÿ’ช Fight sports -17%
24 ๐Ÿ˜ˆ Kink -15%
25 ๐ŸŽณ Bowling -15%
26 ๐Ÿ– Paleo -14%
27 ๐Ÿ’ฌ Telegram -13%
28 ๐Ÿง Pessimist -13%
29 ๐Ÿ‚ Snowboarding -6%
30 ๐Ÿ˜ณ Introvert -3%
n=24,289


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 Nomads.com'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“ฑ Mobile Dev

๐Ÿค Community

๐ŸŽจ UI/UX Design

๐Ÿ“ Blogging

๐Ÿ‘ฉโ€๐ŸŽจ Creative

๐Ÿ“Š SaaS

n=24,289


๐Ÿ‘จโ€ Attractive men's jobs

# Tag Diff
1 ๐Ÿ‘จโ€โš•๏ธ Medical +67%
2 ๐Ÿ“ž Recruitment +45%
3 ๐ŸŽจ UI/UX Design +37%
4 ๐Ÿ“Š SaaS +36%
5 ๐Ÿค  Product Manager +31%
6 ๐Ÿ›’ Ecommerce +28%
7 ๐Ÿ“ฑ Mobile Dev +24%
8 ๐Ÿ‘Š Coach +22%
9 ๐Ÿ“‡ Startup Founder +17%
10 ๐Ÿšš Logistics +17%
11 ๐Ÿ—ƒ Dev Ops +17%
12 ๐Ÿ‘พ Game Dev +16%
13 ๐Ÿ˜ Marketing +15%
14 ๐Ÿ˜Ž VR Dev +13%
15 ๐Ÿ“ˆ Data +13%
16 ๐Ÿ’ป Software Dev +13%
17 ๐Ÿค‘ Sales +6%
18 ๐Ÿ’ช Fitness +4%
19 ๐Ÿ’ฐ Finance +3%
20 ๐Ÿค Community +3%
21 ๐Ÿ•ธ Web Dev +3%
n=24,289

๐Ÿ‘ฑโ€โ™€๏ธ Attractive women's jobs

# Tag Diff
1 ๐Ÿ“ฑ Mobile Dev +119%
2 ๐Ÿค Community +115%
3 ๐Ÿ“ Blogging +96%
4 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +90%
5 ๐Ÿ’ช Fitness +79%
6 ๐Ÿ“‡ Startup Founder +71%
7 ๐ŸŽจ UI/UX Design +63%
8 ๐Ÿ‘Š Coach +60%
9 ๐Ÿ“ฐ Journalism +59%
10 ๐Ÿ“Š SaaS +53%
11 ๐Ÿ˜ Marketing +48%
12 ๐Ÿ›’ Ecommerce +47%
13 ๐Ÿ’ฐ Finance +46%
14 ๐Ÿค‘ Sales +40%
15 ๐Ÿ‘จโ€๐Ÿซ Education +35%
16 ๐Ÿค  Product Manager +26%
17 ๐Ÿ’ป Software Dev +23%
n=24,289


And most unattractive jobs?

Attractiveness is based on the proportion of people liking or disliking a person based on their photo on Nomads.com'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ƒ Sports

๐Ÿ‘‹ Hospitality

๐Ÿ“ฐ Journalism

๐Ÿ‘ฉโ€๐Ÿ’ผ Law

๐Ÿ“ธ Model

n=24,289


๐Ÿ‘จโ€ Most unattractive men's jobs

# Tag Diff
1 ๐Ÿšฉ Politics -253%
2 ๐Ÿ“ฐ Journalism -62%
3 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law -56%
4 ๐Ÿ“ธ Model -49%
5 ๐ŸŒถ Adult -35%
6 ๐Ÿก Architecture -34%
7 ๐Ÿ‘‹ Hospitality -31%
8 ๐Ÿ™‚ Support -27%
9 ๐Ÿ—บ Geo -26%
10 ๐Ÿ‘จโ€๐Ÿซ Education -13%
11 ๐Ÿง‘โ€๐Ÿ’ผ Human resources -12%
12 ๐Ÿ“ก Sysadmin -10%
13 ๐Ÿ‘ฉโ€๐ŸŽจ Creative -7%
14 ๐Ÿƒ Sports -5%
15 ๐Ÿ“ Blogging -4%
16 ๐Ÿ’ฐ Crypto -1%
n=24,289

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

# Tag Diff
1 ๐Ÿšฉ Politics -1,279%
2 ๐Ÿ˜Ž VR Dev -603%
3 ๐Ÿƒ Sports -131%
4 ๐Ÿ‘‹ Hospitality -101%
5 ๐Ÿšš Logistics -52%
6 ๐Ÿ’ฐ Crypto -23%
7 ๐Ÿ•ธ Web Dev -23%
8 ๐Ÿ™‚ Support -14%
9 ๐Ÿ“ˆ Data -2%
n=24,289


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 4.94
3 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 4.94
4 ๐Ÿ‡จ๐Ÿ‡ท Tamarindo 4.94
5 ๐Ÿ‡ณ๐Ÿ‡ด Bergen 4.94
6 ๐Ÿ‡ช๐Ÿ‡ธ Ibiza 4.94
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas 4.88
8 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 4.83
9 ๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik 4.77
10 ๐Ÿ‡ช๐Ÿ‡ธ Mallorca 4.76
11 ๐Ÿ‡ต๐Ÿ‡น Faro 4.68
12 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 4.63
13 ๐Ÿ‡น๐Ÿ‡ญ Ko Lanta 4.56
14 ๐Ÿ‡ฒ๐Ÿ‡พ Langkawi 4.56
15 ๐Ÿ‡ซ๐Ÿ‡ท Bordeaux 4.55
16 ๐Ÿ‡ฎ๐Ÿ‡น Pisa 4.54
17 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.53
18 ๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro 4.53
19 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 4.53
20 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.53
21 ๐Ÿ‡ง๐Ÿ‡ช Bruges 4.52
22 ๐Ÿ‡ณ๐Ÿ‡ฟ Christchurch 4.51
23 ๐Ÿ‡ฒ๐Ÿ‡ฆ Marrakesh 4.51
24 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.51
25 ๐Ÿ‡ช๐Ÿ‡ธ Tenerife 4.51
26 ๐Ÿ‡ณ๐Ÿ‡ฟ Auckland 4.5
27 ๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown 4.5
28 ๐Ÿ‡ณ๐Ÿ‡ด Oslo 4.49
29 ๐Ÿ‡ง๐Ÿ‡ท Florianopolis 4.49
30 ๐Ÿ‡ฒ๐Ÿ‡น Sliema 4.49
Based on attractiveness of visitors n=368,908

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

# City Attractiveness
1 ๐Ÿ‡ง๐Ÿ‡ฆ Mostar 5
2 ๐Ÿ‡ฎ๐Ÿ‡น Genoa 4.98
3 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.98
4 ๐Ÿ‡บ๐Ÿ‡ธ Orlando 4.96
5 ๐Ÿ‡ซ๐Ÿ‡ท Cannes 4.96
6 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 4.94
7 ๐Ÿ‡ฒ๐Ÿ‡ฆ Taghazout 4.91
8 ๐Ÿ‡ฑ๐Ÿ‡ฐ Galle 4.89
9 ๐Ÿ‡ฒ๐Ÿ‡ช Budva 4.89
10 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 4.88
11 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.83
12 ๐Ÿ‡ต๐Ÿ‡ฑ Warsaw 4.8
13 ๐Ÿ‡ฆ๐Ÿ‡บ Cairns 4.8
14 ๐Ÿ‡ธ๐Ÿ‡ฐ Bratislava 4.75
15 ๐Ÿ‡ฎ๐Ÿ‡น Amalfi 4.75
16 ๐Ÿ‡ท๐Ÿ‡บ Moscow 4.75
17 ๐Ÿ‡ฆ๐Ÿ‡น Salzburg 4.75
18 ๐Ÿ‡น๐Ÿ‡ท Izmir 4.74
19 ๐Ÿ‡ฎ๐Ÿ‡ฑ Tel Aviv 4.72
20 ๐Ÿ‡จ๐Ÿ‡พ Larnaca 4.71
21 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.71
22 ๐Ÿ‡น๐Ÿ‡ท Antalya 4.7
23 ๐Ÿ‡จ๐Ÿ‡ฑ Valparaรญso 4.7
24 ๐Ÿ‡น๐Ÿ‡ญ Krabi 4.69
25 ๐Ÿ‡น๐Ÿ‡ญ Ko Samui 4.68
26 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 4.68
27 ๐Ÿ‡ป๐Ÿ‡ณ Nha Trang 4.67
28 ๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu 4.66
29 ๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg 4.66
30 ๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta 4.65
Based on attractiveness of visitors n=368,908


And where do unattractive people go?

๐Ÿ‘จโ€ Where unattractive men travel to

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 3.31
2 ๐Ÿ‡ฎ๐Ÿ‡ณ Goa 3.43
3 ๐Ÿ‡บ๐Ÿ‡ธ Houston 3.59
4 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.7
5 ๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru 3.7
6 ๐Ÿ‡ต๐Ÿ‡พ Asuncion 3.73
7 ๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty 3.8
8 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.84
9 ๐Ÿ‡ช๐Ÿ‡ฌ Cairo 3.87
10 ๐Ÿ‡น๐Ÿ‡ท Antalya 3.87
11 ๐Ÿ‡ฒ๐Ÿ‡ช Podgorica 3.88
12 ๐Ÿ‡ช๐Ÿ‡ธ Alicante 3.9
13 ๐Ÿ‡จ๐Ÿ‡บ Havana 3.92
14 ๐Ÿ‡ง๐Ÿ‡พ Minsk 3.92
15 ๐Ÿ‡ฌ๐Ÿ‡ช Batumi 3.94
16 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.94
17 ๐Ÿ‡จ๐Ÿ‡ณ Beijing 3.94
18 ๐Ÿ‡ถ๐Ÿ‡ฆ Doha 3.94
19 ๐Ÿ‡ต๐Ÿ‡ญ Manila 3.95
20 ๐Ÿ‡ท๐Ÿ‡บ Moscow 3.95
21 ๐Ÿ‡ฒ๐Ÿ‡ฝ Merida 3.95
22 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 3.95
23 ๐Ÿ‡จ๐Ÿ‡ณ Guangzhou 3.95
24 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.96
25 ๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo 3.96
26 ๐Ÿ‡น๐Ÿ‡ผ Taipei 3.96
27 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.97
28 ๐Ÿ‡ณ๐Ÿ‡ฑ Rotterdam 3.97
29 ๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana 3.99
30 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 3.99
Based on unattractiveness of visitors n=368,908

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

# City Attractiveness
1 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.22
2 ๐Ÿ‡ช๐Ÿ‡จ Quito 3.27
3 ๐Ÿ‡ฏ๐Ÿ‡ด Amman 3.27
4 ๐Ÿ‡จ๐Ÿ‡ฆ Quebec City 3.39
5 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 3.4
6 ๐Ÿ‡ณ๐Ÿ‡ฟ Wellington 3.46
7 ๐Ÿ‡ฆ๐Ÿ‡บ Perth 3.49
8 ๐Ÿ‡บ๐Ÿ‡ธ New Orleans 3.49
9 ๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane 3.49
10 ๐Ÿ‡ง๐Ÿ‡ช Antwerp 3.54
11 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.54
12 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.55
13 ๐Ÿ‡ต๐Ÿ‡ท San Juan 3.57
14 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.62
15 ๐Ÿ‡ช๐Ÿ‡จ Cuenca 3.67
16 ๐Ÿ‡ฌ๐Ÿ‡ง Liverpool 3.69
17 ๐Ÿ‡ฌ๐Ÿ‡ง Manchester 3.71
18 ๐Ÿ‡จ๐Ÿ‡ณ Macau 3.71
19 ๐Ÿ‡จ๐Ÿ‡ด Bogota 3.72
20 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.73
21 ๐Ÿ‡จ๐Ÿ‡ด Santa Marta 3.75
22 ๐Ÿ‡ฒ๐Ÿ‡ฝ Merida 3.77
23 ๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar 3.77
24 ๐Ÿ‡ณ๐Ÿ‡ฎ San Juan del Sur 3.8
25 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel 3.81
26 ๐Ÿ‡ฎ๐Ÿ‡ฉ Kuta 3.82
27 ๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo 3.82
28 ๐Ÿ‡จ๐Ÿ‡ท San Josรฉ 3.82
29 ๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo 3.82
30 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.82
Based on unattractiveness of visitors n=368,908



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