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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‡ฏ๐Ÿ‡ต loves
Tokyo most

๐Ÿ’‰ is vaccinated

๐Ÿƒ produces 72% less COโ‚‚

6๏ธโƒฃ and stays for
6 months

n=35,700


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 2024.

Last updated: 18 minutes ago

๐Ÿ‘ถ Nomads by age

Age %
19
0.2%
21
0.2%
22
0.2%
23
1%
24
1%
25
1%
26
2%
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
4%
40
4%
41
3%
42
3%
43
2%
44
2%
n=1,234

โ›ณ๏ธ Nomads by nationality

# Country People %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 40,625,225 45%
2 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 6,392,637 7%
3 ๐Ÿ‡ท๐Ÿ‡บ Russia 4,199,120 5%
4 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 4,177,438 5%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 3,592,019 4%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 3,024,668 3%
7 ๐Ÿ‡ง๐Ÿ‡ท Brazil 2,254,949 2%
8 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 2,142,925 2%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 1,633,393 2%
10 ๐Ÿ‡ช๐Ÿ‡ธ Spain 1,561,119 2%
11 ๐Ÿ‡ฎ๐Ÿ‡ณ India 1,380,434 2%
12 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine 1,250,341 1%
13 ๐Ÿ‡ฎ๐Ÿ‡น Italy 1,170,839 1%
14 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1,058,814 1%
15 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 914,266 1%
16 ๐Ÿ‡ฆ๐Ÿ‡น Austria 711,899 1%
17 ๐Ÿ‡ธ๐Ÿ‡ช Sweden 632,398 1%
18 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 607,102 1%
19 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland 596,261 1%
20 ๐Ÿ‡น๐Ÿ‡ท Turkey 570,965 1%
21 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel 570,965 1%
22 ๐Ÿ‡ง๐Ÿ‡ช Belgium 505,918 1%
23 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 498,691 1%
24 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 495,077 1%
25 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 469,781 1%
26 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 451,713 0%
27 ๐Ÿ‡ต๐Ÿ‡น Portugal 448,099 0%
28 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 433,644 0%
29 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 430,030 0%
30 ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand 415,576 0%
n=25,223

๐Ÿ‘ถ Nomads by gender

Gender %
๐Ÿ‘จโ€ Men
90%
๐Ÿ‘ฑโ€โ™€๏ธ Women
10%
Last 30 days. n=108

๐Ÿ‘€ Nomads by sexuality

Sexuality %
๐Ÿ‘‹ Heterosexual
87%
๐Ÿฆ„ Bisexual
8%
๐Ÿณ๏ธโ€๐ŸŒˆ Gay or lesbian
5%
n=15,106

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=7,790

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=7,015

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=15,967

โค๏ธ Nomads by relationship

Relationship %
๐Ÿ˜Ž Single
67%
๐Ÿ˜ In a relationship
33%
n=8,651

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=53,516

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 $124,225 / y
Median $85,000 / y
n=4,534

๐Ÿ’ฐ Nomads by employment

Employment type %
Full time
39%
Freelance
18%
Startup founder
17%
Full time contractor
9%
Agency
8%
Other
5%
Part time
2%
Part time contractor
1%
n=5,477


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
3%
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=4,433

๐Ÿ’ฌ What messaging apps nomads use?

Messaging app %
Telegram
47%
Whatsapp
43%
Twitter
5%
Facebook
2%
Snapchat
2%
WeChat
0%
LINE
0%
Slack
0%
n=4,976


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=3,391

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
13%
๐Ÿ‘ด Conservative
3%
n=798


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=7,172


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=5,312

๐Ÿ• Nomad women by diet

Diet %
๐Ÿฅฉ Eats meat
57%
๐Ÿšซ Does not eat meat
43%
๐Ÿฅ’ Vegetarian
18%
๐Ÿฅ‘ Vegan
15%
๐ŸŸ Pescetarian
10%
n=1,190


How do nomads work out?

๐Ÿฅพ Hiking

๐Ÿ’ช Fitness

๐Ÿƒ Running

๐Ÿคธโ€โ™€๏ธ Yoga

๐ŸŠ Swimming

๐Ÿšด Cycling

n=13,906


๐Ÿ˜… Nomad men by sports

Sport %
๐Ÿฅพ Hiking
48%
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%
๐Ÿ‚ Snowboarding
16%
๐ŸŒŠ Diving
16%
โ›ท Skiing
15%
๐ŸŽพ Tennis
14%
๐Ÿ Motorcycling
13%
๐Ÿ’ช Fight sports
11%
๐Ÿ’ช Crossfit
9%
n=10,076

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
6%
๐Ÿ Motorcycling
5%
๐Ÿ’ช Fight sports
5%
n=2,471


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=358,273


๐Ÿ˜ Most liked cities by men

# City Rating
1 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 4.64
2 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 4.62
3 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 4.58
4 ๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi 4.50
5 ๐Ÿ‡ต๐Ÿ‡ฑ Warsaw 4.50
6 ๐Ÿ‡ต๐Ÿ‡น Porto 4.50
7 ๐Ÿ‡ฐ๐Ÿ‡ท Seoul 4.44
8 ๐Ÿ‡ซ๐Ÿ‡ท Paris 4.44
9 ๐Ÿ‡ช๐Ÿ‡ธ Valencia 4.38
10 ๐Ÿ‡บ๐Ÿ‡ธ New York City 4.38
11 ๐Ÿ‡ฉ๐Ÿ‡ช Munich 4.29
12 ๐Ÿ‡ฌ๐Ÿ‡ท Athens 4.29
13 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 4.29
14 ๐Ÿ‡ฒ๐Ÿ‡พ Penang 4.29
15 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 4.23
n=7,009

๐Ÿ˜ Most liked cities by women

# City Rating
1 ๐Ÿ‡จ๐Ÿ‡ด Medellรญn 4.00
2 ๐Ÿ‡ฉ๐Ÿ‡ช Munich 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=7,009


๐ŸŒ† Most visited cities

# City % visited
1 ๐Ÿ‡ฌ๐Ÿ‡ง London 2.25%
2 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 2.09%
3 ๐Ÿ‡บ๐Ÿ‡ธ New York City 1.53%
4 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona 1.49%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin 1.49%
6 ๐Ÿ‡ต๐Ÿ‡น Lisbon 1.48%
7 ๐Ÿ‡ซ๐Ÿ‡ท Paris 1.47%
8 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam 1.23%
9 ๐Ÿ‡บ๐Ÿ‡ธ San Francisco 1.17%
10 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 1.08%
11 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 1%
12 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 0.9%
13 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 0.9%
14 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 0.87%
15 ๐Ÿ‡บ๐Ÿ‡ธ Los Angeles 0.86%
16 ๐Ÿ‡น๐Ÿ‡ท Istanbul 0.85%
17 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 0.82%
18 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 0.8%
19 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 0.78%
20 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 0.73%
21 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 0.72%
22 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires 0.67%
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‡ญ๐Ÿ‡ฐ Hong Kong 0.53%
29 ๐Ÿ‡น๐Ÿ‡ญ Phuket 0.53%
30 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud 0.52%
n=358,273

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‡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%
n=358,273

๐Ÿƒ Avg. COโ‚‚ by member traveling

Year COโ‚‚
2013
677 kg/y
2014
1,015 kg/y
2015
1,097 kg/y
2016
1,312 kg/y
2017
1,496 kg/y
2018
1,596 kg/y
2019
1,613 kg/y
2020
1,008 kg/y
2021
1,014 kg/y
2022
1,614 kg/y
2023
1,788 kg/y
2024
1,723 kg/y
Average 1,313 kg/y
Median 1,403 kg/y
Based on 358,273 trips by 14,166 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 1,403 kg/y, or 72% 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 -16%
3 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona -12%
4 ๐Ÿ‡ฌ๐Ÿ‡ง London -20%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris -18%
6 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin -1%
7 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam +5%
8 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai -4%
9 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu +2%
10 ๐Ÿ‡น๐Ÿ‡ท Istanbul +8%
11 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City -23%
12 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore +12%
13 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo +12%
14 ๐Ÿ‡ญ๐Ÿ‡บ Budapest +16%
15 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur +27%
median temp=18°C; n=358,273

๐Ÿ‘ฑโ€โ™€๏ธ Where women go most

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‡ต๐Ÿ‡น Lisbon +18%
2 ๐Ÿ‡ฌ๐Ÿ‡ง London +25%
3 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona +14%
4 ๐Ÿ‡น๐Ÿ‡ญ Bangkok -18%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris +23%
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City +31%
7 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai +4%
8 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin +1%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam -5%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu -2%
11 ๐Ÿ‡ฎ๐Ÿ‡น Rome +23%
12 ๐Ÿ‡น๐Ÿ‡ท Istanbul -7%
13 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud +27%
14 ๐Ÿ‡บ๐Ÿ‡ธ New York City +9%
15 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore -11%
median temp=18°C; n=358,273


๐Ÿ‘จ Where men go more

# Tag vs. women
1 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine +84%
2 ๐Ÿ‡ท๐Ÿ‡บ Russia +71%
3 ๐Ÿ‡ต๐Ÿ‡ฑ Poland +69%
4 ๐Ÿ‡ท๐Ÿ‡ด Romania +59%
5 ๐Ÿ‡ฌ๐Ÿ‡ช Georgia +41%
6 ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand +29%
7 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong +26%
8 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates +25%
9 ๐Ÿ‡ท๐Ÿ‡ธ Serbia +24%
10 ๐Ÿ‡ต๐Ÿ‡ญ Philippines +21%
11 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia +21%
12 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia +20%
13 ๐Ÿ‡ณ๐Ÿ‡ด Norway +19%
14 ๐Ÿ‡ธ๐Ÿ‡ช Sweden +19%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Japan +18%
median temp=13°C; n=358,273

๐Ÿ‘ฑโ€โ™€๏ธ Where women go more

# Tag vs. men
1 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa +50%
2 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica +46%
3 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico +41%
4 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom +26%
5 ๐Ÿ‡ญ๐Ÿ‡ท Croatia +21%
6 ๐Ÿ‡จ๐Ÿ‡ฑ Chile +18%
7 ๐Ÿ‡ฎ๐Ÿ‡น Italy +17%
8 ๐Ÿ‡ซ๐Ÿ‡ท France +17%
9 ๐Ÿ‡ฌ๐Ÿ‡ท Greece +13%
10 ๐Ÿ‡ต๐Ÿ‡ช Peru +13%
11 ๐Ÿ‡ต๐Ÿ‡น Portugal +10%
12 ๐Ÿ‡ช๐Ÿ‡ธ Spain +8%
13 ๐Ÿ‡ฆ๐Ÿ‡บ Australia +7%
14 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland +7%
15 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina +6%
median temp=18°C; n=358,273


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‡ฐ๐Ÿ‡ท South Korea 4.4
7 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 4.4
8 ๐Ÿ‡ช๐Ÿ‡ช Estonia 4.4
9 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 4.3
10 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 4.3
11 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica 4.2
12 ๐Ÿ‡ญ๐Ÿ‡บ Hungary 4.2
13 ๐Ÿ‡ช๐Ÿ‡ธ Spain 4.2
14 ๐Ÿ‡ซ๐Ÿ‡ฎ Finland 4.15
15 ๐Ÿ‡ท๐Ÿ‡บ Russia 4.15
n=4,255

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 1.8
6 ๐Ÿ‡ฒ๐Ÿ‡น Malta 2.15
7 ๐Ÿ‡จ๐Ÿ‡ฑ Chile 2.25
8 ๐Ÿ‡จ๐Ÿ‡พ Cyprus 2.35
9 ๐Ÿ‡ธ๐Ÿ‡ด Somalia 2.5
10 ๐Ÿ‡น๐Ÿ‡ฟ Tanzania 2.5
11 ๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg 2.5
12 ๐Ÿ‡ป๐Ÿ‡ช Venezuela 2.5
13 ๐Ÿ‡ฌ๐Ÿ‡ฎ Gibraltar 2.5
14 ๐Ÿ‡ธ๐Ÿ‡ณ Senegal 2.5
15 ๐Ÿ‡บ๐Ÿ‡ฌ Uganda 2.5
n=4,255


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=348,915

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 188 days (6 months)
n=348,915





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=23,862


๐Ÿ‘จ Nomad men work as

# Work % vs. women
1 ๐Ÿ’ป Software Dev 34% +249%
2 ๐Ÿ•ธ Web Dev 28% +264%
3 ๐Ÿ“‡ Startup Founder 27% +137%
4 ๐Ÿ˜ Marketing 15% -1%
5 ๐Ÿ“Š SaaS 13% +197%
6 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 12% -19%
7 ๐ŸŽจ UI/UX Design 11% +38%
8 ๐Ÿค  Product Manager 11% +70%
9 ๐Ÿ’ฐ Crypto 11% +247%
10 ๐Ÿ“ˆ Data 11% +105%
11 ๐Ÿ“ฑ Mobile Dev 11% +349%
12 ๐Ÿ’ฐ Finance 10% +125%
13 ๐Ÿ›’ Ecommerce 9% +101%
14 ๐Ÿค‘ Sales 7% +80%
15 ๐Ÿ‘จโ€๐Ÿซ Education 6% -10%
n=19,181

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% -71%
5 ๐ŸŽจ UI/UX Design 8% -27%
6 ๐Ÿ•ธ Web Dev 8% -73%
7 ๐Ÿ“ Blogging 8% +24%
8 ๐Ÿค Community 7% +22%
9 ๐Ÿ‘จโ€๐Ÿซ Education 7% +11%
10 ๐Ÿ‘Š Coach 7% +24%
11 ๐Ÿค  Product Manager 7% -41%
12 ๐Ÿ“ˆ Data 5% -51%
13 ๐Ÿ“Š SaaS 5% -66%
14 ๐Ÿ’ฐ Finance 4% -56%
15 ๐Ÿ›’ Ecommerce 4% -50%
n=5,749


๐Ÿ‘จ Nomad men vs. women

# Tag vs. women
1 ๐Ÿ“ฑ Mobile Dev +349%
2 ๐Ÿ‘พ Game Dev +348%
3 ๐Ÿ“ก Sysadmin +336%
4 ๐Ÿ—ƒ Dev Ops +331%
5 ๐Ÿ•ธ Web Dev +264%
6 ๐Ÿ’ป Software Dev +249%
7 ๐Ÿ’ฐ Crypto +247%
8 ๐Ÿ“Š SaaS +197%
9 ๐Ÿ˜Ž VR Dev +163%
10 ๐Ÿ’Ž OF +140%
11 ๐Ÿƒ Sports +137%
12 ๐Ÿ“‡ Startup Founder +137%
13 ๐Ÿ—บ Geo +133%
14 ๐Ÿ’ฐ Finance +125%
15 ๐Ÿ“ˆ Data +105%
n=23,862

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. men
1 ๐Ÿง‘โ€๐Ÿ’ผ Human resources +64%
2 ๐Ÿ“ฐ Journalism +50%
3 ๐Ÿง  Psychologist +43%
4 ๐Ÿ‘จโ€โš•๏ธ Medical +40%
5 ๐Ÿ™‚ Support +33%
6 ๐Ÿ‘Š Coach +24%
7 ๐Ÿ“ Blogging +24%
8 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +23%
9 ๐Ÿค Community +22%
10 ๐Ÿ‘‹ Hospitality +22%
11 ๐Ÿ“ž Recruitment +14%
12 ๐Ÿ“ธ Model +13%
13 ๐Ÿ‘จโ€๐Ÿซ Education +11%
14 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law +10%
15 ๐Ÿ˜ Marketing +1%
n=23,862


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=23,862


๐Ÿ‘จโ€ Nomad men

# Tag % vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 โ˜•๏ธ Coffee 40% +29%
2 ๐Ÿ™‚ Optimist 32% +32%
3 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 31% +23%
4 ๐Ÿ’‰ COVID vaccinated 28% +20%
5 โ›ฐ Outdoors 27% +8%
6 ๐Ÿ’ช Fitness 27% +51%
7 ๐Ÿฅพ Hiking 26% +17%
8 ๐Ÿถ Dogs 26% +10%
9 ๐Ÿบ Beer 25% +129%
10 โ˜€๏ธ Waking up early 25% +28%
11 ๐ŸŒ™ Staying up late 25% +54%
12 ๐Ÿง  Open-minded 24% +21%
13 ๐Ÿ“– Reading 24% +10%
14 ๐Ÿท Wine 23% +2%
15 ๐Ÿ˜Ž Single 23% +36%
n=19,181

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women

# Tag % vs. ๐Ÿ‘จโ€
1 โ˜•๏ธ Coffee 31% -22%
2 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 26% -19%
3 โ›ฐ Outdoors 25% -7%
4 ๐Ÿ™‚ Optimist 24% -24%
5 ๐Ÿถ Dogs 24% -9%
6 ๐Ÿ’‰ COVID vaccinated 23% -17%
7 ๐Ÿท Wine 23% -2%
8 ๐Ÿฅพ Hiking 22% -15%
9 ๐Ÿ“– Reading 21% -9%
10 ๐Ÿต Tea 21% 0%
11 ๐Ÿง  Open-minded 20% -17%
12 ๐Ÿคธโ€โ™€๏ธ Yoga 20% +71%
13 โ˜€๏ธ Waking up early 19% -22%
14 โ›ฑ Beach 18% +8%
15 ๐Ÿ’ช Fitness 18% -34%
n=5,749


๐Ÿ‘จ Nomad men vs. women

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿง” Have a beard +1,386%
2 ๐Ÿชœ Roost Stand +436%
3 ๐Ÿ‘จ No beard +351%
4 โšฝ๏ธ Football +347%
5 ๐Ÿง‘โ€ Short hair +275%
6 ๐Ÿ’ Ice hockey +232%
7 ๐ŸŽ Race sports +225%
8 ๐Ÿช‚ Dropout +222%
9 ๐ŸŽง Hardstyle music +215%
10 ๐Ÿ Motorcycling +213%
11 ๐Ÿ€ Basketball +201%
12 โ™Ÿ๏ธ Chess +197%
13 ๐Ÿ‘ด Conservative politics +181%
14 ๐Ÿ“ Table tennis +180%
15 ๐ŸŽธ Metal music +173%
n=23,862

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ’„ Makeup +3,147%
2 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +289%
3 ๐Ÿ‘— Dress up +231%
4 โœจ Astrology +220%
5 ๐Ÿ’ช Feminism +198%
6 โœจ Believe in astrology +191%
7 ๐Ÿฆพ Disabled +116%
8 ๐ŸŸฅ Red hair +104%
9 ๐ŸŽจ Drawing +103%
10 ๐Ÿ’ƒ Dancing +90%
11 ๐Ÿ› Shopping +80%
12 ๐ŸŒป Gardening +73%
13 ๐Ÿคธโ€โ™€๏ธ Yoga +71%
14 โœ‹๐Ÿฟ Black +65%
15 ๐ŸŸจ Blonde hair +57%
n=23,862




๐Ÿ’‰ Nomads by vaccination

Vaccinated %
๐Ÿ’‰ COVID vaccinated
94%
๐Ÿ’‰ Not COVID vaccinated
6%
n=7,576

โค๏ธ Nomads by family

Relationship %
โค๏ธ Close to parents
81%
๐Ÿ’” Not close to parents
19%
n=2,031

๐Ÿ‘ถ Nomads by childhood

Childhood %
๐Ÿ˜Š Happy childhood
88%
๐Ÿ˜” Unhappy childhood
12%
n=2,153

๐Ÿก Homeownership amongst nomads

Homeownership %
๐Ÿก Homeowner
54%
๐Ÿก Not a homeowner
46%
n=2,325


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. 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ณ๏ธโ€๐ŸŒˆ LGBT

๐Ÿ˜ In a relationship

๐Ÿ“ Table tennis

๐Ÿง’ Only child

๐Ÿ Volleyball

n=23,862


๐Ÿ‘จโ€ Attractive men's traits

# Tag Diff
1 ๐Ÿ˜ In a relationship +130%
2 โœจ Believe in astrology +74%
3 ๐Ÿก Homeowner +61%
4 ๐ŸŽง Hiphop music +59%
5 ๐Ÿ‘ถ Parent +58%
6 ๐Ÿ€ Basketball +54%
7 ๐Ÿ’ฌ Twitter +52%
8 ๐Ÿง‘โ€ Short hair +51%
9 ๐ŸŒŠ Free diving +48%
10 ๐Ÿฅš Soft boiled eggs +48%
11 ๐ŸŽง House music +46%
12 ๐Ÿ’‰ Not COVID vaccinated +45%
13 ๐Ÿ iPhone +44%
14 ๐Ÿ‘ผ Youngest child +44%
15 ๐Ÿง Pessimist +43%
16 ๐Ÿ’ Ice hockey +42%
17 ๐ŸŽง Dubstep music +42%
18 ๐Ÿ’ช Crossfit +40%
19 ๐Ÿ Reggae music +37%
20 ๐Ÿก Not a homeowner +37%
21 ๐ŸŽ Kitesurfing +37%
22 โ›ณ๏ธ Golf +34%
23 โ›ฐ Climbing +34%
24 ๐Ÿ’‰ COVID vaccinated +34%
25 ๐Ÿ’ฌ Facebook +33%
26 ๐Ÿ’ฅ Messy +33%
27 ๐Ÿ‚ Skateboarding +31%
28 โค๏ธ Happy childhood +30%
29 โšฝ๏ธ Football +30%
30 ๐Ÿ’ฐ Pop music +29%
n=23,862

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

# Tag Diff
1 ๐Ÿ’” My parents separated +307%
2 ๐Ÿณ๏ธโ€๐ŸŒˆ LGBT +271%
3 ๐Ÿง’ Only child +264%
4 ๐Ÿ“ Table tennis +255%
5 ๐Ÿƒ Running +234%
6 ๐Ÿ› Shopping +233%
7 ๐Ÿ Volleyball +231%
8 ๐Ÿ—ฝ Libertarian politics +191%
9 ๐ŸŽธ Punk music +188%
10 ๐Ÿ‘จโ€๐ŸŽค Partying +179%
11 ๐Ÿงผ Clean freak +178%
12 ๐Ÿ’„ Makeup +154%
13 โ›ท Skiing +151%
14 ๐Ÿ‘— Dress up +150%
15 ๐Ÿ˜ In a relationship +149%
16 ๐Ÿšฌ Social smoker +148%
17 ๐Ÿ Motorcycling +147%
18 ๐ŸŸ Pescetarian +147%
19 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +144%
20 ๐Ÿš Vanlife +139%
21 ๐ŸŽท Blues music +135%
22 ๐Ÿบ Beer +134%
23 ๐Ÿšด Cycling +134%
24 โœจ Astrology +134%
25 ๐Ÿพ Drinking alcohol +132%
26 ๐Ÿ„ Surfing +129%
27 ๐ŸŽท Jazz music +126%
28 โฌœ๏ธ Has no tattoos +123%
29 ๐Ÿ’ช Fitness +119%
30 ๐ŸŒ™ Staying up late +119%
n=23,862


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.

๐Ÿชœ Nexstand

๐Ÿ˜ˆ FetLife

๐Ÿช‚ Paragliding

๐Ÿ’ฌ Discord

๐ŸŽญ Swinging

๐ŸŒธ Anime

n=23,862


๐Ÿ‘จโ€ Unattractive men's traits

# Tag Diff
1 ๐Ÿชœ Nexstand -2,928%
2 ๐Ÿ˜ˆ FetLife -1,642%
3 ๐ŸŽญ Swinging -647%
4 ๐Ÿ’„ Makeup -522%
5 ๐Ÿช‚ Skydiving -381%
6 ๐ŸŽณ Bowling -261%
7 ๐ŸŒธ Anime -170%
8 ๐Ÿ“” Religious -112%
9 ๐ŸŽฑ Pool -99%
10 โ™Ÿ๏ธ Chess -91%
11 ๐Ÿ’ฌ Discord -84%
12 ๐Ÿ˜ˆ Kink -79%
13 ๐Ÿ˜Ž Single -70%
14 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -66%
15 ๐Ÿš Urbex -63%
16 ๐Ÿ’ฌ Instagram -51%
17 ๐ŸŒป Gardening -50%
18 ๐Ÿ’” Unhappy childhood -49%
19 ๐Ÿ Motorcycling -48%
20 ๐Ÿ Cricket -47%
21 ๐Ÿ‘… Sex positive -47%
22 ๐ŸŽง Trance music -45%
23 ๐ŸŽจ Drawing -44%
24 ๐Ÿ’ช Feminism -43%
25 ๐Ÿ– Paleo -43%
26 โœˆ๏ธ Private pilot -39%
27 ๐Ÿฅš Hard boiled eggs -37%
28 ๐ŸŽง Garage music -35%
29 โšพ๏ธ Baseball -34%
30 ๐Ÿช‚ Paragliding -30%
n=23,862

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

# Tag Diff
1 ๐Ÿ’ฅ Messy -1,866%
2 ๐Ÿช‚ Paragliding -987%
3 ๐Ÿ’ฌ Slack -728%
4 ๐Ÿ’ฌ Discord -624%
5 ๐Ÿ‘ด Conservative politics -495%
6 ๐ŸŒธ Anime -443%
7 ๐Ÿ‡ฐ๐Ÿ‡ท K-pop music -210%
8 ๐Ÿ’ฌ Snapchat -185%
9 ๐Ÿ– Carnivore -146%
10 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -133%
11 ๐Ÿ˜ˆ Kink -112%
12 ๐Ÿชœ Roost Stand -107%
13 ๐Ÿธ Badminton -102%
14 ๐Ÿก Not a homeowner -65%
15 โœจ Believe in astrology -49%
16 โค๏ธ Happy childhood -29%
17 ๐Ÿšœ Country music -27%
18 ๐Ÿ˜ณ Introvert -21%
19 ๐Ÿ’ฌ Facebook -21%
20 ๐ŸŽ Kitesurfing -18%
21 ๐ŸŒ Third Culture Kid -11%
22 ๐ŸŽง Garage music -6%
23 ๐Ÿ’ช Fight sports -6%
24 ๐Ÿ– Paleo -5%
25 ๐Ÿง Pessimist -3%
26 ๐Ÿ‘… Sex positive -3%
27 ๐Ÿƒ Sustainability -3%
n=23,862


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

๐ŸŽจ UI/UX Design

๐Ÿ’ช Fitness

๐Ÿค Community

๐Ÿ“Š SaaS

๐Ÿ“ Blogging

n=23,862


๐Ÿ‘จโ€ Attractive men's jobs

# Tag Diff
1 ๐Ÿ“ž Recruitment +60%
2 ๐Ÿ‘จโ€โš•๏ธ Medical +49%
3 ๐ŸŽจ UI/UX Design +35%
4 ๐Ÿ›’ Ecommerce +34%
5 ๐Ÿ“Š SaaS +33%
6 ๐Ÿ“ฑ Mobile Dev +28%
7 ๐Ÿšš Logistics +23%
8 ๐Ÿค  Product Manager +21%
9 ๐Ÿ“‡ Startup Founder +19%
10 ๐Ÿ‘Š Coach +19%
11 ๐Ÿ“ˆ Data +17%
12 ๐Ÿ‘พ Game Dev +16%
13 ๐Ÿ˜Ž VR Dev +15%
14 ๐Ÿ˜ Marketing +14%
15 ๐Ÿ’ช Fitness +14%
16 ๐Ÿ—ƒ Dev Ops +13%
17 ๐Ÿ’ป Software Dev +10%
18 ๐Ÿค‘ Sales +8%
19 ๐Ÿ’ฐ Finance +8%
20 ๐Ÿค Community +3%
21 ๐Ÿ•ธ Web Dev +2%
n=23,862

๐Ÿ‘ฑโ€โ™€๏ธ Attractive women's jobs

# Tag Diff
1 ๐Ÿ“ฑ Mobile Dev +142%
2 ๐Ÿค Community +108%
3 ๐Ÿ’ช Fitness +100%
4 ๐Ÿ“ Blogging +93%
5 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +88%
6 ๐ŸŽจ UI/UX Design +88%
7 ๐Ÿ“Š SaaS +71%
8 ๐Ÿ“‡ Startup Founder +70%
9 ๐Ÿ‘Š Coach +66%
10 ๐Ÿ˜ Marketing +48%
11 ๐Ÿ‘จโ€๐Ÿซ Education +48%
12 ๐Ÿ›’ Ecommerce +45%
13 ๐Ÿ’ฐ Finance +43%
14 ๐Ÿค  Product Manager +38%
15 ๐Ÿค‘ Sales +35%
16 ๐Ÿ’ป Software Dev +21%
17 ๐Ÿ“ˆ Data +6%
n=23,862


And 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’Ž OF

๐Ÿƒ Sports

๐Ÿ‘‹ Hospitality

๐Ÿ“ฐ Journalism

๐Ÿ‘ฉโ€๐Ÿ’ผ Law

n=23,862


๐Ÿ‘จโ€ Unattractive men's jobs

# Tag Diff
1 ๐Ÿšฉ Politics -433%
2 ๐Ÿ’Ž OF -232%
3 ๐Ÿ“ฐ Journalism -62%
4 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law -58%
5 ๐ŸŒถ Adult -36%
6 ๐Ÿก Architecture -35%
7 ๐Ÿ—บ Geo -29%
8 ๐Ÿ™‚ Support -22%
9 ๐Ÿ‘‹ Hospitality -21%
10 ๐Ÿ“ธ Model -20%
11 ๐Ÿ“ก Sysadmin -20%
12 ๐Ÿ‘จโ€๐Ÿซ Education -6%
13 ๐Ÿ‘ฉโ€๐ŸŽจ Creative -6%
14 ๐Ÿƒ Sports -5%
15 ๐Ÿ’ฐ Crypto -3%
16 ๐Ÿ“ Blogging -1%
n=23,862

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

# Tag Diff
1 ๐Ÿšฉ Politics -1,168%
2 ๐Ÿ˜Ž VR Dev -547%
3 ๐Ÿƒ Sports -104%
4 ๐Ÿ‘‹ Hospitality -84%
5 ๐Ÿšš Logistics -37%
6 ๐Ÿ™‚ Support -3%
7 ๐Ÿ•ธ Web Dev -1%
n=23,862


Where do attractive people go?

๐Ÿ‘จโ€ Where attractive men travel to

# City Attractiveness
1 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 5
2 ๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu 4.97
3 ๐Ÿ‡ต๐Ÿ‡น Ericeira 4.87
4 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 4.84
5 ๐Ÿ‡จ๐Ÿ‡ท Tamarindo 4.84
6 ๐Ÿ‡ฒ๐Ÿ‡พ Langkawi 4.84
7 ๐Ÿ‡ช๐Ÿ‡ธ Ibiza 4.84
8 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas 4.84
9 ๐Ÿ‡ณ๐Ÿ‡ด Bergen 4.76
10 ๐Ÿ‡ต๐Ÿ‡น Faro 4.65
11 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 4.63
12 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.63
13 ๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik 4.61
14 ๐Ÿ‡ณ๐Ÿ‡ฟ Christchurch 4.56
15 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 4.54
16 ๐Ÿ‡บ๐Ÿ‡ธ Honolulu 4.48
17 ๐Ÿ‡ฐ๐Ÿ‡ท Busan 4.48
18 ๐Ÿ‡ช๐Ÿ‡ธ Mallorca 4.48
19 ๐Ÿ‡ง๐Ÿ‡ช Bruges 4.46
20 ๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt 4.46
21 ๐Ÿ‡ฌ๐Ÿ‡ง Manchester 4.46
22 ๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown 4.44
23 ๐Ÿ‡ณ๐Ÿ‡ฟ Auckland 4.44
24 ๐Ÿ‡น๐Ÿ‡ญ Ko Lanta 4.43
25 ๐Ÿ‡ฆ๐Ÿ‡บ Perth 4.42
26 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.42
27 ๐Ÿ‡ฎ๐Ÿ‡น Pisa 4.42
28 ๐Ÿ‡ฒ๐Ÿ‡น Sliema 4.41
29 ๐Ÿ‡ช๐Ÿ‡ธ Seville 4.41
30 ๐Ÿ‡ง๐Ÿ‡ช Antwerp 4.4
Based on attractiveness of visitors n=358,273

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

# City Attractiveness
1 ๐Ÿ‡ง๐Ÿ‡ฆ Mostar 5
2 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.97
3 ๐Ÿ‡ฎ๐Ÿ‡น Genoa 4.94
4 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 4.93
5 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 4.9
6 ๐Ÿ‡ฑ๐Ÿ‡ฐ Galle 4.89
7 ๐Ÿ‡ฒ๐Ÿ‡ช Budva 4.87
8 ๐Ÿ‡บ๐Ÿ‡ธ Orlando 4.83
9 ๐Ÿ‡ฆ๐Ÿ‡น Salzburg 4.78
10 ๐Ÿ‡ฎ๐Ÿ‡น Amalfi 4.77
11 ๐Ÿ‡ฎ๐Ÿ‡น Catania 4.77
12 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.76
13 ๐Ÿ‡น๐Ÿ‡ญ Ko Samui 4.74
14 ๐Ÿ‡ธ๐Ÿ‡ฐ Bratislava 4.74
15 ๐Ÿ‡ท๐Ÿ‡บ Moscow 4.74
16 ๐Ÿ‡ฎ๐Ÿ‡ฑ Tel Aviv 4.72
17 ๐Ÿ‡ฉ๐Ÿ‡ช Dusseldorf 4.71
18 ๐Ÿ‡ต๐Ÿ‡ฑ Warsaw 4.7
19 ๐Ÿ‡จ๐Ÿ‡พ Larnaca 4.7
20 ๐Ÿ‡ซ๐Ÿ‡ท Lyon 4.69
21 ๐Ÿ‡จ๐Ÿ‡ฑ Valparaรญso 4.69
22 ๐Ÿ‡น๐Ÿ‡ท Antalya 4.69
23 ๐Ÿ‡ฎ๐Ÿ‡น Milan 4.68
24 ๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu 4.65
25 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.65
26 ๐Ÿ‡บ๐Ÿ‡ธ Denver 4.64
27 ๐Ÿ‡น๐Ÿ‡ท Izmir 4.64
28 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 4.63
29 ๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo 4.63
30 ๐Ÿ‡ฐ๐Ÿ‡ท Busan 4.62
Based on attractiveness of visitors n=358,273


And where do unattractive people go?

๐Ÿ‘จโ€ Where unattractive men travel to

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 3.15
2 ๐Ÿ‡ฎ๐Ÿ‡ณ Goa 3.35
3 ๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru 3.57
4 ๐Ÿ‡บ๐Ÿ‡ธ Houston 3.63
5 ๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty 3.63
6 ๐Ÿ‡ต๐Ÿ‡พ Asuncion 3.63
7 ๐Ÿ‡ฒ๐Ÿ‡ช Podgorica 3.65
8 ๐Ÿ‡ง๐Ÿ‡พ Minsk 3.72
9 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.72
10 ๐Ÿ‡ช๐Ÿ‡ธ Alicante 3.73
11 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.73
12 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.76
13 ๐Ÿ‡ช๐Ÿ‡ฌ Cairo 3.78
14 ๐Ÿ‡จ๐Ÿ‡ณ Beijing 3.78
15 ๐Ÿ‡ถ๐Ÿ‡ฆ Doha 3.82
16 ๐Ÿ‡น๐Ÿ‡ท Antalya 3.82
17 ๐Ÿ‡ท๐Ÿ‡บ Moscow 3.83
18 ๐Ÿ‡ฌ๐Ÿ‡ช Batumi 3.83
19 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.84
20 ๐Ÿ‡ฎ๐Ÿ‡น Turin 3.84
21 ๐Ÿ‡ต๐Ÿ‡ญ Manila 3.85
22 ๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo 3.85
23 ๐Ÿ‡ฌ๐Ÿ‡ง Glasgow 3.86
24 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.87
25 ๐Ÿ‡น๐Ÿ‡ผ Taipei 3.87
26 ๐Ÿ‡ณ๐Ÿ‡ฑ Rotterdam 3.88
27 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 3.88
28 ๐Ÿ‡บ๐Ÿ‡ธ Washington 3.88
29 ๐Ÿ‡จ๐Ÿ‡ฆ Toronto 3.89
30 ๐Ÿ‡ท๐Ÿ‡ด Bucharest 3.9
Based on unattractiveness of visitors n=358,273

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

# City Attractiveness
1 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.16
2 ๐Ÿ‡ช๐Ÿ‡จ Quito 3.29
3 ๐Ÿ‡ฆ๐Ÿ‡บ Perth 3.43
4 ๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane 3.45
5 ๐Ÿ‡ณ๐Ÿ‡ฟ Wellington 3.46
6 ๐Ÿ‡จ๐Ÿ‡ฆ Quebec City 3.48
7 ๐Ÿ‡บ๐Ÿ‡ธ New Orleans 3.48
8 ๐Ÿ‡ฏ๐Ÿ‡ด Amman 3.48
9 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 3.51
10 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.51
11 ๐Ÿ‡ง๐Ÿ‡ช Antwerp 3.52
12 ๐Ÿ‡ฌ๐Ÿ‡ง Liverpool 3.52
13 ๐Ÿ‡ต๐Ÿ‡ท San Juan 3.54
14 ๐Ÿ‡ณ๐Ÿ‡ฎ San Juan del Sur 3.59
15 ๐Ÿ‡ฌ๐Ÿ‡ง Manchester 3.6
16 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.6
17 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.66
18 ๐Ÿ‡ช๐Ÿ‡จ Cuenca 3.67
19 ๐Ÿ‡ฌ๐Ÿ‡ง Bristol 3.69
20 ๐Ÿ‡จ๐Ÿ‡ด Bogota 3.71
21 ๐Ÿ‡จ๐Ÿ‡ณ Macau 3.75
22 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.76
23 ๐Ÿ‡ฎ๐Ÿ‡ฉ Kuta 3.77
24 ๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar 3.78
25 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel 3.8
26 ๐Ÿ‡ฌ๐Ÿ‡ง Glasgow 3.81
27 ๐Ÿ‡ฒ๐Ÿ‡ฝ La Paz 3.81
28 ๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo 3.83
29 ๐Ÿ‡ฒ๐Ÿ‡ฝ Merida 3.83
30 ๐Ÿ‡ฌ๐Ÿ‡ท Thessaloniki 3.84
Based on unattractiveness of visitors n=358,273



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