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The 2026 State of Digital Nomads

Explore the world


Who is the average nomad in 2026?

๐Ÿ‘ถ 37-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‚‚

4๏ธโƒฃ and stays for
4 months

n=42,495


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 2026.

Last updated: 12 minutes ago

๐Ÿ‘ถ Nomads by age

Age %
18
0.1%
21
0.1%
22
0.3%
23
0.2%
24
1%
25
1%
26
1%
27
1%
28
2%
29
2%
30
2%
31
3%
32
6%
33
7%
34
7%
35
5%
36
5%
37
9%
38
6%
39
5%
40
5%
41
4%
42
4%
43
3%
44
3%
active last 365d, n=986

โ›ณ๏ธ Nomads by nationality

# Country People %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 54,809,558 42%
2 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 8,906,612 7%
3 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 5,950,295 5%
4 ๐Ÿ‡ท๐Ÿ‡บ Russia 5,747,872 4%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 5,385,393 4%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 4,514,504 3%
7 ๐Ÿ‡ง๐Ÿ‡ท Brazil 3,450,606 3%
8 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 3,041,053 2%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 2,396,123 2%
10 ๐Ÿ‡ช๐Ÿ‡ธ Spain 2,353,756 2%
11 ๐Ÿ‡ฎ๐Ÿ‡ณ India 2,174,870 2%
12 ๐Ÿ‡ฎ๐Ÿ‡น Italy 1,878,297 1%
13 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine 1,864,175 1%
14 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1,562,894 1%
15 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 1,322,811 1%
16 ๐Ÿ‡ฆ๐Ÿ‡น Austria 983,870 1%
17 ๐Ÿ‡น๐Ÿ‡ท Turkey 965,040 1%
18 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 936,795 1%
19 ๐Ÿ‡ธ๐Ÿ‡ช Sweden 917,965 1%
20 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland 889,720 1%
21 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel 804,984 1%
22 ๐Ÿ‡ง๐Ÿ‡ช Belgium 781,447 1%
23 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 748,494 1%
24 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 739,079 1%
25 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 692,004 1%
26 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 687,297 1%
27 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 687,297 1%
28 ๐Ÿ‡ต๐Ÿ‡น Portugal 682,589 1%
29 ๐Ÿ‡ท๐Ÿ‡ด Romania 644,929 0%
30 ๐Ÿ‡จ๐Ÿ‡ณ China 611,977 0%
n=27,442

๐Ÿ‘ถ Nomads by gender

Gender %
๐Ÿ‘จโ€ Men
66%
๐Ÿ‘ฑโ€โ™€๏ธ Women
33%
๐Ÿง‘ Other
0%
active last 365d, n=11,213

๐Ÿ‘€ Nomads by sexuality

Sexuality %
๐Ÿ‘‹ Heterosexual
87%
๐Ÿฆ„ Bisexual
8%
๐Ÿณ๏ธโ€๐ŸŒˆ Gay or lesbian
5%
n=17,003

๐Ÿ™ Nomads by beliefs

Religion %
๐Ÿ’ซ Not religious
51%
๐Ÿ™ Spirituality
28%
โ›ช๏ธ Christianity
10%
๐Ÿ™ Buddhism
3%
๐Ÿ•Œ Islam
2%
โœจ Astrology
2%
๐Ÿ• Judaism
2%
๐Ÿ•‰ Hinduism
1%
๐Ÿ‘ณ Sikhism
0%
n=8,964

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=8,130

๐ŸŽ“ Education

Education %
๐ŸšŒ High School
9%
๐ŸŽ“ Higher education
91%
๐Ÿ“œ Bachelor's
53%
๐ŸŽ“ Master's
34%
๐Ÿ‘ฉโ€๐Ÿซ PhD
3%
n=18,662

โค๏ธ Nomads by relationship

Relationship %
๐Ÿ˜Ž Single
67%
๐Ÿ˜ In a relationship
33%
n=10,506

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=62,805

๐Ÿ’ฐ Nomads by income

Income %
< $25k / y
6%
$25k - $50k / y
15%
$50k - $100k / y
33%
$100k - $250k / y
35%
> $250k - $1M / y
9%
> $1M / y
2%
Average $124,451 / y
Median $85,000 / y
n=5,596

๐Ÿ’ฐ Nomads by employment

Employment type %
Full time
37%
Freelance
19%
Startup founder
18%
Full time contractor
9%
Agency
8%
Other
6%
Part time
2%
Part time contractor
1%
n=7,113


๐Ÿก Where do nomads work from

Place %
๐Ÿก Home office
58%
๐Ÿฌ Coworking
15%
โ˜•๏ธ Cafe
8%
๐Ÿข Office
7%
๐Ÿ›‹ Couch
3%
๐Ÿฝ Dining table
3%
๐Ÿ› Bed
2%
๐Ÿช‘ Balcony
1%
๐Ÿš Van
1%
๐Ÿ”ช Kitchen
0%
๐Ÿชด Garden
0%
๐Ÿ’ฆ Pool
0%
๐Ÿ›ฅ Boat
0%
๐Ÿ“š Library
0%
n=5,935

๐Ÿ’ฌ What messaging apps nomads use?

Messaging app %
Telegram
50%
Whatsapp
44%
Snapchat
3%
Facebook
2%
LINE
0%
WeChat
0%
Slack
0%
n=5,867


โš–๏ธ Nomad men by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
45%
โš–๏ธ Non-progressive
55%
๐Ÿ—ฝ Libertarian
27%
โš–๏ธ Centrist
21%
๐Ÿ‘ด Conservative
7%
n=3,691

โš–๏ธ Nomad women by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
71%
โš–๏ธ Non-progressive
29%
๐Ÿ—ฝ Libertarian
13%
โš–๏ธ Centrist
13%
๐Ÿ‘ด Conservative
3%
n=906


What do nomads eat?

๐Ÿฅฉ 77% of ๐Ÿ‘จโ€ men eat meat

๐Ÿฅฉ 58% of ๐Ÿ‘ฑโ€โ™€๏ธwomen eat meat

๐Ÿšซ 38% of nomads don't eat meat

๐Ÿฅ’ 11% are vegetarian

๐Ÿฅ‘ 11% are vegan

๐ŸŸ 5% are pescetarian

n=8,115


๐Ÿ• Nomad men by diet

Diet %
๐Ÿฅฉ Eats meat
77%
๐Ÿšซ Does not eat meat
23%
๐Ÿฅ‘ Vegan
10%
๐Ÿฅ’ Vegetarian
10%
๐ŸŸ Pescetarian
4%
n=5,795

๐Ÿ• Nomad women by diet

Diet %
๐Ÿฅฉ Eats meat
58%
๐Ÿšซ Does not eat meat
42%
๐Ÿฅ’ Vegetarian
18%
๐Ÿฅ‘ Vegan
14%
๐ŸŸ Pescetarian
10%
n=1,312


How do nomads work out?

๐Ÿฅพ Hiking

๐Ÿ’ช Fitness

๐Ÿƒ Running

๐Ÿคธโ€โ™€๏ธ Yoga

๐ŸŠ Swimming

๐Ÿšด Cycling

n=16,016


๐Ÿ˜… Nomad men by sports

Sport %
๐Ÿ’ช Fitness
49%
๐Ÿฅพ Hiking
47%
๐Ÿƒ Running
29%
๐Ÿšด Cycling
24%
๐ŸŠ Swimming
23%
๐Ÿคธโ€โ™€๏ธ Yoga
20%
๐Ÿ„ Surfing
18%
๐ŸŒŠ Diving
15%
โ›ฐ Climbing
15%
๐Ÿ‚ Snowboarding
15%
โ›ท Skiing
15%
๐ŸŽพ Tennis
14%
๐Ÿ Motorcycling
13%
๐Ÿ’ช Fight sports
11%
๐Ÿ“ Table tennis
9%
n=11,224

๐Ÿ˜… Nomad women by sports

Sport %
๐Ÿฅพ Hiking
50%
๐Ÿคธโ€โ™€๏ธ Yoga
43%
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
11%
๐Ÿ‚ Snowboarding
9%
๐Ÿ’ช Crossfit
5%
๐Ÿ Motorcycling
5%
๐Ÿ’ช Fight sports
5%
n=2,785


Where do nomads like to go most?

๐Ÿ‡ฏ๐Ÿ‡ต Tokyo

๐Ÿ‡ต๐Ÿ‡น Ericeira

๐Ÿ‡บ๐Ÿ‡ธ Chicago

๐Ÿ‡ต๐Ÿ‡น Portimรฃo

๐Ÿ‡ง๐Ÿ‡ฌ Varna

๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik

n=420,363


๐Ÿ˜ Most liked cities by men

# City Rating
1 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 4.55
2 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 4.44
3 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 4.44
4 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 4.38
5 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 4.38
6 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 4.29
7 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 4.29
8 ๐Ÿ‡ต๐Ÿ‡ฑ Krakรณw 4.17
9 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 4.17
10 ๐Ÿ‡ฏ๐Ÿ‡ต Osaka 4.17
11 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam 4.17
12 ๐Ÿ‡ง๐Ÿ‡ฌ Bansko 4.17
13 ๐Ÿ‡ฌ๐Ÿ‡น Antigua 4.17
14 ๐Ÿ‡ฌ๐Ÿ‡ง London 4.09
15 ๐Ÿ‡บ๐Ÿ‡ธ New York City 4.00
n=6,805

๐Ÿ˜ Most liked cities by women

# City Rating
1 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 3.33
n=6,805


๐ŸŒ† Most visited cities

# City % visited
1 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 2.22%
2 ๐Ÿ‡ฌ๐Ÿ‡ง London 2.18%
3 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona 1.48%
4 ๐Ÿ‡บ๐Ÿ‡ธ New York City 1.47%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris 1.46%
6 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin 1.44%
7 ๐Ÿ‡ต๐Ÿ‡น Lisbon 1.43%
8 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam 1.18%
9 ๐Ÿ‡บ๐Ÿ‡ธ San Francisco 1.13%
10 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 1.07%
11 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 0.98%
12 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 0.92%
13 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 0.92%
14 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 0.9%
15 ๐Ÿ‡น๐Ÿ‡ท Istanbul 0.86%
16 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 0.83%
17 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 0.81%
18 ๐Ÿ‡บ๐Ÿ‡ธ Los Angeles 0.8%
19 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 0.79%
20 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 0.77%
21 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 0.71%
22 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires 0.69%
23 ๐Ÿ‡จ๐Ÿ‡ด Medellรญn 0.62%
24 ๐Ÿ‡ฎ๐Ÿ‡น Rome 0.6%
25 ๐Ÿ‡ท๐Ÿ‡บ Moscow 0.59%
26 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 0.57%
27 ๐Ÿ‡ฐ๐Ÿ‡ท Seoul 0.56%
28 ๐Ÿ‡ป๐Ÿ‡ณ Ho Chi Minh City 0.55%
29 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong 0.54%
30 ๐Ÿ‡น๐Ÿ‡ญ Phuket 0.53%
n=420,363

๐ŸŒŽ Most visited countries

# Country % visited
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 13%
2 ๐Ÿ‡น๐Ÿ‡ญ Thailand 5%
3 ๐Ÿ‡ช๐Ÿ‡ธ Spain 5%
4 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 4%
5 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 4%
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 3%
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‡ฏ๐Ÿ‡ต Japan 2%
13 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 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‡ฒ๐Ÿ‡พ Malaysia 1%
21 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 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‡จ๐Ÿ‡ณ China 1%
27 ๐Ÿ‡ฆ๐Ÿ‡น Austria 1%
28 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates 1%
29 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 1%
30 ๐Ÿ‡ญ๐Ÿ‡ท Croatia 1%
n=420,363

๐Ÿƒ Avg. COโ‚‚ by member traveling

Year COโ‚‚
2013
678 kg/y
2014
985 kg/y
2015
1,076 kg/y
2016
1,287 kg/y
2017
1,467 kg/y
2018
1,544 kg/y
2019
1,582 kg/y
2020
999 kg/y
2021
1,004 kg/y
2022
1,572 kg/y
2023
1,740 kg/y
2024
1,700 kg/y
2025
1,603 kg/y
2026
2,124 kg/y
Average 1,307 kg/y
Median 1,376 kg/y
Based on 420,363 trips by 16,015 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 1,376 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 -10%
4 ๐Ÿ‡ฌ๐Ÿ‡ง London -21%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris -21%
6 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai -3%
7 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam +4%
8 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin -3%
9 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu -1%
10 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo +16%
11 ๐Ÿ‡น๐Ÿ‡ท Istanbul +8%
12 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore +14%
13 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur +27%
14 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City -20%
15 ๐Ÿ‡ญ๐Ÿ‡บ Budapest +20%
median temp=18°C; n=420,363

๐Ÿ‘ฑโ€โ™€๏ธ Where women go most

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‡ต๐Ÿ‡น Lisbon +19%
2 ๐Ÿ‡ฌ๐Ÿ‡ง London +27%
3 ๐Ÿ‡น๐Ÿ‡ญ Bangkok -18%
4 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona +12%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris +27%
6 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai +4%
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City +25%
8 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin +3%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam -4%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu +1%
11 ๐Ÿ‡ฎ๐Ÿ‡น Rome +26%
12 ๐Ÿ‡น๐Ÿ‡ท Istanbul -7%
13 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud +29%
14 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires +8%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo -14%
median temp=18°C; n=420,363


๐Ÿ‘จ Where men go more

# Tag vs. women
1 ๐Ÿ‡ท๐Ÿ‡บ Russia +82%
2 ๐Ÿ‡ต๐Ÿ‡ฑ Poland +68%
3 ๐Ÿ‡ท๐Ÿ‡ด Romania +54%
4 ๐Ÿ‡ฌ๐Ÿ‡ช Georgia +41%
5 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong +32%
6 ๐Ÿ‡จ๐Ÿ‡ณ China +29%
7 ๐Ÿ‡ต๐Ÿ‡ญ Philippines +29%
8 ๐Ÿ‡ท๐Ÿ‡ธ Serbia +26%
9 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates +26%
10 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia +24%
11 ๐Ÿ‡ฏ๐Ÿ‡ต Japan +23%
12 ๐Ÿ‡ญ๐Ÿ‡บ Hungary +20%
13 ๐Ÿ‡ป๐Ÿ‡ณ Vietnam +18%
14 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia +18%
15 ๐Ÿ‡ณ๐Ÿ‡ด Norway +18%
median temp=13°C; n=420,363

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 +37%
4 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom +29%
5 ๐Ÿ‡ญ๐Ÿ‡ท Croatia +25%
6 ๐Ÿ‡จ๐Ÿ‡ฑ Chile +23%
7 ๐Ÿ‡ซ๐Ÿ‡ท France +21%
8 ๐Ÿ‡ฎ๐Ÿ‡น Italy +19%
9 ๐Ÿ‡ฌ๐Ÿ‡ท Greece +14%
10 ๐Ÿ‡ต๐Ÿ‡น Portugal +13%
11 ๐Ÿ‡ฆ๐Ÿ‡บ Australia +10%
12 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland +10%
13 ๐Ÿ‡ต๐Ÿ‡ช Peru +8%
14 ๐Ÿ‡บ๐Ÿ‡ธ United States +7%
15 ๐Ÿ‡ช๐Ÿ‡ธ Spain +7%
median temp=18°C; n=420,363


๐Ÿ˜ Most liked countries

# Country Rating
1 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 4.8
2 ๐Ÿ‡ญ๐Ÿ‡บ Hungary 4.7
3 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 4.55
4 ๐Ÿ‡ญ๐Ÿ‡ท Croatia 4.55
5 ๐Ÿ‡ฑ๐Ÿ‡ป Latvia 4.5
6 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 4.5
7 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 4.4
8 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 4.35
9 ๐Ÿ‡ฐ๐Ÿ‡ฟ Kazakhstan 4.3
10 ๐Ÿ‡ฌ๐Ÿ‡น Guatemala 4.3
11 ๐Ÿ‡ช๐Ÿ‡ช Estonia 4.25
12 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 4.25
13 ๐Ÿ‡ฑ๐Ÿ‡น Lithuania 4.25
14 ๐Ÿ‡ท๐Ÿ‡บ Russia 4.25
15 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 4.2
n=4,047

๐Ÿคฎ Least liked countries

# Country Rating
1 ๐Ÿ‡จ๐Ÿ‡บ Cuba 1
2 ๐Ÿ‡ฎ๐Ÿ‡ท Iran 1.65
3 ๐Ÿ‡ฌ๐Ÿ‡ฎ Gibraltar 1.65
4 ๐Ÿ‡ญ๐Ÿ‡ณ Honduras 1.65
5 ๐Ÿ‡จ๐Ÿ‡พ Cyprus 1.65
6 ๐Ÿ‡ฒ๐Ÿ‡น Malta 2.15
7 ๐Ÿ‡จ๐Ÿ‡ฑ Chile 2.25
8 ๐Ÿ‡ฑ๐Ÿ‡ฐ Sri Lanka 2.35
9 ๐Ÿ‡ธ๐Ÿ‡ด Somalia 2.5
10 ๐Ÿ‡ช๐Ÿ‡น Ethiopia 2.5
11 ๐Ÿ‡น๐Ÿ‡ฟ Tanzania 2.5
12 ๐Ÿ‡ง๐Ÿ‡ง Barbados 2.5
13 ๐Ÿ‡ธ๐Ÿ‡ณ Senegal 2.5
14 ๐Ÿ‡ฒ๐Ÿ‡ณ Mongolia 2.5
15 ๐Ÿ‡ป๐Ÿ‡ช Venezuela 2.5
n=4,047


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

Duration %
< 7 days
47%
7 - 30 days
33%
30 - 90 days
14%
90+ days
6%
Average 63 days (2 months)
Median 7 days
n=409,740

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 136 days (4 months)
n=409,740





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=29,223


๐Ÿ‘จ Nomad men work as

# Work % vs. women
1 ๐Ÿ’ป Software Dev 33% +320%
2 ๐Ÿ•ธ Web Dev 26% +349%
3 ๐Ÿ“‡ Startup Founder 26% +174%
4 ๐Ÿ˜ Marketing 15% +20%
5 ๐Ÿ“Š SaaS 13% +259%
6 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 12% +1%
7 ๐ŸŽจ UI/UX Design 11% +71%
8 ๐Ÿค  Product Manager 10% +112%
9 ๐Ÿ“ฑ Mobile Dev 10% +437%
10 ๐Ÿ’ฐ Crypto 10% +353%
11 ๐Ÿ“ˆ Data 10% +141%
12 ๐Ÿ’ฐ Finance 9% +170%
13 ๐Ÿ›’ Ecommerce 8% +153%
14 ๐Ÿค‘ Sales 7% +117%
15 ๐Ÿ‘จโ€๐Ÿซ Education 6% +3%
n=22,878

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women work as

# Work % vs. men
1 ๐Ÿ˜ Marketing 12% -17%
2 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 12% -1%
3 ๐Ÿ“‡ Startup Founder 10% -64%
4 ๐Ÿ’ป Software Dev 8% -76%
5 ๐ŸŽจ UI/UX Design 6% -42%
6 ๐Ÿค Community 6% +6%
7 ๐Ÿ•ธ Web Dev 6% -78%
8 ๐Ÿ‘จโ€๐Ÿซ Education 6% -3%
9 ๐Ÿ“ Blogging 6% 0%
10 ๐Ÿ‘Š Coach 5% +2%
11 ๐Ÿค  Product Manager 5% -53%
12 ๐Ÿ“ˆ Data 4% -58%
13 ๐Ÿ“Š SaaS 4% -72%
14 ๐Ÿ’ฐ Finance 3% -63%
15 ๐Ÿค‘ Sales 3% -54%
n=8,667


๐Ÿ‘จ Nomad men vs. women

# Tag vs. women
1 ๐Ÿ“ก Sysadmin +465%
2 ๐Ÿ“ฑ Mobile Dev +437%
3 ๐Ÿ—ƒ Dev Ops +432%
4 ๐Ÿ‘พ Game Dev +394%
5 ๐Ÿ’ฐ Crypto +353%
6 ๐Ÿ•ธ Web Dev +349%
7 ๐Ÿ’ป Software Dev +320%
8 ๐Ÿ“Š SaaS +259%
9 ๐Ÿ˜Ž VR Dev +245%
10 ๐Ÿ“ˆ Investor +209%
11 ๐Ÿ›ก๏ธ InfoSec +190%
12 ๐Ÿค– AI model +186%
13 ๐Ÿ“‡ Startup Founder +174%
14 ๐Ÿ’ฐ Finance +170%
15 ๐Ÿ—บ Geo +167%
n=29,223

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. men
1 ๐Ÿ‘ธ House wife +296%
2 ๐Ÿ‘— Tradwife +164%
3 ๐ŸŽ“ Student +68%
4 ๐Ÿฅ Healthcare +62%
5 ๐Ÿง‘โ€๐Ÿ’ผ Human resources +56%
6 ๐Ÿ“น Content Creator +42%
7 ๐Ÿณ Chef +32%
8 ๐Ÿง  Psychologist +29%
9 ๐Ÿ“ฐ Journalism +28%
10 ๐Ÿ™‚ Support +17%
11 ๐ŸŽจ Artist +17%
12 ๐ŸŒพ Farm life +17%
13 ๐Ÿ‘จโ€โš•๏ธ Medical +9%
14 ๐Ÿ‘‹ Hospitality +7%
15 ๐Ÿค Community +6%
n=29,223


How do nomads describe themselves?

โ˜•๏ธ Coffee

๐Ÿ‡ฌ๐Ÿ‡ง Speaks English

๐Ÿ™‚ Optimist

โ›ฐ Outdoors

๐Ÿ’‰ COVID vaccinated

๐Ÿฅพ Hiking

n=29,223


๐Ÿ‘จโ€ Nomad men

# Tag % vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 โ˜•๏ธ Coffee 37% +58%
2 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 31% +49%
3 ๐Ÿ™‚ Optimist 30% +60%
4 ๐Ÿ’ช Fitness 25% +84%
5 ๐Ÿ’‰ COVID vaccinated 25% +49%
6 โ›ฐ Outdoors 25% +32%
7 ๐Ÿฅพ Hiking 24% +45%
8 ๐Ÿถ Dogs 24% +34%
9 ๐Ÿ˜Ž Single 23% +61%
10 ๐Ÿง  Open-minded 23% +49%
11 โ˜€๏ธ Waking up early 23% +58%
12 ๐Ÿบ Beer 23% +179%
13 ๐ŸŒ™ Staying up late 22% +93%
14 ๐Ÿ“– Reading 22% +34%
15 ๐Ÿท Wine 21% +25%
n=22,878

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women

# Tag % vs. ๐Ÿ‘จโ€
1 โ˜•๏ธ Coffee 23% -37%
2 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 21% -33%
3 โ›ฐ Outdoors 19% -24%
4 ๐Ÿ™‚ Optimist 19% -38%
5 ๐Ÿถ Dogs 18% -25%
6 ๐Ÿท Wine 17% -20%
7 ๐Ÿฅพ Hiking 17% -31%
8 ๐Ÿ’‰ COVID vaccinated 17% -33%
9 ๐Ÿ“– Reading 16% -25%
10 ๐Ÿต Tea 16% -19%
11 ๐Ÿง  Open-minded 16% -33%
12 ๐Ÿคธโ€โ™€๏ธ Yoga 15% +41%
13 โ˜€๏ธ Waking up early 15% -37%
14 ๐Ÿ˜Ž Single 15% -38%
15 ๐Ÿ’ช Fitness 14% -46%
n=8,667


๐Ÿ‘จ Nomad men vs. women

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿง” Have a beard +1,806%
2 ๐Ÿ‘จ No beard +521%
3 โšฝ๏ธ Football +451%
4 ๐Ÿ’ Ice hockey +365%
5 ๐Ÿง‘โ€ Short hair +335%
6 ๐Ÿช‚ Dropout +297%
7 ๐Ÿ Motorcycling +290%
8 ๐ŸŽ Race sports +278%
9 ๐Ÿ€ Basketball +278%
10 โ™Ÿ๏ธ Chess +272%
11 ๐Ÿ“ Table tennis +256%
12 ๐Ÿ’ช Fight sports +255%
13 ๐ŸŽง Hardstyle music +234%
14 ๐Ÿ•‰ Hindu +234%
15 ๐Ÿ‘ด Conservative politics +233%
n=29,223

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ’„ Makeup +2,742%
2 ๐Ÿคธโ€โ™€๏ธ Pilates +780%
3 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +246%
4 ๐Ÿ‘— Dress up +168%
5 โœจ Astrology +160%
6 ๐Ÿ’ช Feminism +141%
7 ๐Ÿ’ƒ Fashion +117%
8 ๐Ÿฆพ Disabled +114%
9 ๐Ÿถ Pottery +111%
10 โœจ Believe in astrology +100%
11 ๐Ÿ— Vintage +85%
12 ๐ŸŸฅ Red hair +75%
13 ๐ŸŽจ Drawing +65%
14 ๐Ÿข Slowmad +65%
15 ๐Ÿ’ƒ Dancing +54%
n=29,223




๐Ÿ’‰ Nomads by vaccination

Vaccinated %
๐Ÿ’‰ COVID vaccinated
92%
๐Ÿ’‰ Not COVID vaccinated
8%
n=8,363

โค๏ธ Nomads by family

Relationship %
โค๏ธ Close to parents
82%
๐Ÿ’” Not close to parents
18%
n=2,460

๐Ÿ‘ถ Nomads by childhood

Childhood %
๐Ÿ˜Š Happy childhood
89%
๐Ÿ˜” Unhappy childhood
11%
n=2,662

๐Ÿก Homeownership amongst nomads

Homeownership %
๐Ÿก Homeowner
55%
๐Ÿก Not a homeowner
45%
n=2,866


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).

๐Ÿง’ Only child

๐Ÿ˜ In a relationship

๐Ÿ’” My parents separated

๐Ÿ Volleyball

๐Ÿƒ Running

n=29,223


๐Ÿ‘จโ€ Most attractive men's traits

# Tag Diff
1 ๐Ÿ˜ In a relationship +133%
2 โœจ Believe in astrology +75%
3 ๐Ÿก Homeowner +66%
4 ๐Ÿ’‰ Not COVID vaccinated +60%
5 ๐Ÿธ Padel +59%
6 ๐Ÿ‰ Rugby +59%
7 ๐Ÿฅš Soft boiled eggs +59%
8 ๐Ÿ€ Basketball +58%
9 ๐ŸŽง Hiphop music +56%
10 ๐Ÿ’ฌ ๐• +52%
11 ๐Ÿ‘ถ Parent +52%
12 ๐Ÿ‚ Skateboarding +52%
13 ๐Ÿง— Bouldering +52%
14 ๐Ÿก Not a homeowner +51%
15 ๐Ÿ’ฌ Slack +48%
16 ๐Ÿ’ฅ Messy +48%
17 ๐ŸŽง Dubstep music +48%
18 ๐ŸŒŠ Free diving +47%
19 ๐Ÿ‡ฏ๐Ÿ‡ฒ Reggae music +45%
20 ๐Ÿง‘โ€ Short hair +45%
21 ๐Ÿ’‰ COVID vaccinated +44%
22 ๐Ÿ’ช Crossfit +44%
23 ๐Ÿ‘ถ Middle child +43%
24 ๐Ÿ‹๏ธโ€ Weightlifting +43%
25 โ›ณ๏ธ Golf +43%
26 ๐Ÿ„ Surfing +42%
27 โšฝ๏ธ Football +42%
28 ๐Ÿ iPhone +42%
29 ๐ŸŽ Kitesurfing +42%
30 ๐ŸŽง House music +41%
n=29,223

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

# Tag Diff
1 ๐Ÿง’ Only child +333%
2 ๐Ÿ Volleyball +301%
3 ๐Ÿ’” My parents separated +300%
4 ๐Ÿ› Shopping +285%
5 ๐Ÿƒ Running +256%
6 ๐Ÿงผ Clean freak +253%
7 ๐ŸŽพ Tennis +236%
8 ๐Ÿ“ Table tennis +227%
9 ๐Ÿšฌ Social smoker +221%
10 ๐Ÿ˜ In a relationship +220%
11 โ›ท Skiing +216%
12 ๐ŸŸ Pescetarian +202%
13 ๐Ÿ‘จโ€๐ŸŽค Partying +200%
14 โฌœ๏ธ Has no tattoos +190%
15 ๐Ÿ’„ Makeup +180%
16 ๐Ÿ„ Surfing +180%
17 ๐Ÿฅš Hard boiled eggs +177%
18 ๐Ÿšด Cycling +176%
19 ๐Ÿบ Beer +176%
20 ๐Ÿ Motorcycling +171%
21 ๐Ÿ‘ถ Wants kids +166%
22 ๐Ÿ’ซ Not religious +162%
23 ๐ŸŒ™ Staying up late +162%
24 ๐ŸŠ Swimming +160%
25 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +160%
26 ๐ŸŽž Film making +157%
27 โ›ฑ Beach +157%
28 โšฝ๏ธ Football +155%
29 ๐ŸŽค Singing +154%
30 ๐Ÿ’ช Fitness +152%
n=29,223


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”๏ธ Live in the mountains

๐ŸŒธ Anime

๐Ÿ— Vintage

๐Ÿคธโ€โ™€๏ธ Pilates

๐Ÿšฌ Daily smoker

๐Ÿ’ƒ Fashion

n=29,223


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

# Tag Diff
1 ๐Ÿ”๏ธ Live in the mountains -1,201%
2 ๐Ÿ— Vintage -643%
3 ๐Ÿ’„ Makeup -532%
4 ๐ŸŽญ Acting -532%
5 ๐Ÿ’ƒ Fashion -532%
6 ๐Ÿ’ƒ Hiphop dance -495%
7 ๐Ÿถ Pottery -272%
8 ๐Ÿคธโ€โ™€๏ธ Pilates -235%
9 ๐ŸŽณ Bowling -231%
10 ๐Ÿ‡ฐ๐Ÿ‡ท K-pop music -168%
11 ๐Ÿคฟ Snorkeling -160%
12 ๐Ÿช‚ Skydiving -157%
13 ๐Ÿ˜ˆ FetLife -145%
14 ๐ŸŽง Garage music -110%
15 ๐ŸŽค Podcast -101%
16 ๐Ÿก Architecture -91%
17 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -78%
18 ๐ŸŽง Trance music -62%
19 ๐Ÿ’ฌ TikTok -56%
20 ๐Ÿ Cricket -51%
21 ๐Ÿ˜Ž Single -51%
22 ๐ŸŒธ Anime -51%
23 ๐Ÿ„ Bodyboarding -49%
24 ๐Ÿ‘จโ€๐Ÿฆฒ Bald -42%
25 ๐Ÿช‚ Paragliding -42%
26 ๐Ÿ“” Religious -41%
27 ๐ŸŽญ Swinging -41%
28 โšพ๏ธ Baseball -41%
29 ๐Ÿš Urbex -40%
30 ๐Ÿ Motorcycling -31%
n=29,223

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

# Tag Diff
1 ๐Ÿ’ฅ Messy -1,631%
2 ๐ŸŒธ Anime -1,054%
3 ๐Ÿง Pessimist -745%
4 ๐Ÿšฌ Daily smoker -745%
5 ๐Ÿง— Bouldering -580%
6 ๐Ÿ๏ธ Live near the beach -559%
7 ๐Ÿคธโ€โ™€๏ธ Pilates -518%
8 ๐Ÿ‘ด Conservative politics -498%
9 ๐Ÿ’ฆ Still water -395%
10 ๐Ÿ’ฆ Sparkling water -292%
11 ๐ŸŽค Podcast -292%
12 ๐Ÿ’ฌ Snapchat -271%
13 ๐Ÿ— Vintage -189%
14 ๐Ÿ’ƒ Fashion -189%
15 ๐Ÿ’ฌ TikTok -189%
16 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -147%
17 ๐Ÿ˜ˆ FetLife -127%
18 ๐Ÿ’… Nails -106%
19 ๐Ÿ„ Bodyboarding -85%
20 ๐Ÿ‡ต๐Ÿ‡ท Reggaeton music -85%
21 ๐Ÿถ Pottery -65%
22 โœจ Believe in astrology -64%
23 ๐Ÿ‘ Field hockey -44%
24 ๐Ÿ”๏ธ Live in the mountains -44%
25 ๐Ÿ’Ž Jewelry -44%
26 ๐Ÿ‡ง๐Ÿ‡ท Brazil funk -44%
27 โค๏ธ Happy childhood -27%
28 ๐ŸŽ Kitesurfing -17%
29 ๐Ÿก Not a homeowner -13%
n=29,223


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“ž Recruitment

๐Ÿ“ฑ Mobile Dev

๐Ÿ‘Š Coach

๐Ÿค Community

๐Ÿ“Š SaaS

๐ŸŽจ UI/UX Design

n=29,223


๐Ÿ‘จโ€ Attractive men's jobs

# Tag Diff
1 ๐Ÿ‘จโ€โš•๏ธ Medical +79%
2 ๐Ÿง  Psychologist +60%
3 ๐Ÿ“ž Recruitment +53%
4 ๐ŸŽจ UI/UX Design +47%
5 ๐Ÿ“Š SaaS +46%
6 ๐Ÿšš Logistics +43%
7 ๐Ÿ‘Š Coach +43%
8 ๐Ÿค  Product Manager +37%
9 ๐Ÿ“ธ Model +35%
10 ๐Ÿ›’ Ecommerce +34%
11 ๐Ÿ—ƒ Dev Ops +29%
12 ๐Ÿ“‡ Startup Founder +26%
13 ๐Ÿ˜ Marketing +25%
14 ๐Ÿ“ฑ Mobile Dev +24%
15 ๐Ÿ’ช Fitness +23%
16 ๐Ÿ“ˆ Data +22%
17 ๐Ÿ˜Ž VR Dev +21%
18 ๐Ÿ’ป Software Dev +18%
19 ๐Ÿค‘ Sales +18%
20 ๐Ÿ‘พ Game Dev +15%
21 ๐Ÿค Consulting +13%
22 ๐Ÿ•ธ Web Dev +12%
23 ๐Ÿ“ก Sysadmin +11%
24 ๐Ÿ‘จโ€๐Ÿซ Education +10%
25 ๐Ÿ“ Blogging +8%
26 ๐Ÿค Community +8%
27 ๐Ÿ’ฐ Finance +7%
28 ๐Ÿƒ Sports +5%
29 ๐Ÿ’ฐ Crypto +1%
n=29,223

๐Ÿ‘ฑโ€โ™€๏ธ Attractive women's jobs

# Tag Diff
1 ๐Ÿ“ฑ Mobile Dev +213%
2 ๐Ÿ“ž Recruitment +193%
3 ๐Ÿค Community +150%
4 ๐Ÿ‘Š Coach +126%
5 ๐Ÿ“Š SaaS +112%
6 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +110%
7 ๐Ÿ“ฐ Journalism +108%
8 ๐Ÿ“ Blogging +107%
9 ๐Ÿ’ป Software Dev +94%
10 ๐ŸŽจ UI/UX Design +87%
11 ๐Ÿ‘จโ€๐Ÿซ Education +84%
12 ๐Ÿ“‡ Startup Founder +82%
13 ๐Ÿ˜ Marketing +69%
14 ๐Ÿ’ฐ Finance +67%
15 ๐Ÿค  Product Manager +64%
16 ๐Ÿ›’ Ecommerce +61%
17 ๐Ÿ•ธ Web Dev +37%
n=29,223


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ฅ Healthcare

๐Ÿ”ฌ Science

๐ŸŽ“ Student

โœˆ๏ธ Aviation

๐ŸŽจ Artist

n=29,223


๐Ÿ‘จโ€ Most unattractive men's jobs

# Tag Diff
1 ๐Ÿ”ฌ Science -941%
2 ๐Ÿฅ Healthcare -867%
3 ๐ŸŽ“ Student -718%
4 โœˆ๏ธ Aviation -383%
5 ๐ŸŒพ Farm life -235%
6 ๐Ÿณ Chef -197%
7 ๐Ÿšฉ Politics -163%
8 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law -143%
9 ๐Ÿ  Real estate -90%
10 ๐ŸŽจ Artist -64%
11 ๐Ÿค– AI model -51%
12 ๐Ÿก Architecture -48%
13 ๐Ÿ“ฐ Journalism -46%
14 ๐ŸŒถ Adult -35%
15 ๐Ÿ™‚ Support -14%
16 ๐Ÿ—บ Geo -13%
17 ๐Ÿ›ก๏ธ InfoSec -10%
18 ๐Ÿ— Engineering -10%
19 ๐Ÿ‘‹ Hospitality -5%
20 ๐Ÿ‘ฉโ€๐ŸŽจ Creative -1%
n=29,223

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

# Tag Diff
1 ๐Ÿšฉ Politics -1,033%
2 ๐Ÿ“น Content Creator -745%
3 ๐Ÿ˜Ž VR Dev -477%
4 ๐ŸŽจ Artist -312%
5 ๐Ÿฅ Healthcare -230%
6 ๐Ÿ  Real estate -189%
7 ๐Ÿ“ˆ Investor -168%
8 ๐Ÿ›ก๏ธ InfoSec -147%
9 ๐Ÿค– AI model -127%
10 ๐Ÿƒ Sports -110%
11 ๐ŸŽต Music -106%
12 ๐Ÿ‘‹ Hospitality -81%
13 ๐Ÿ’ผ Retired -44%
14 ๐Ÿค Consulting -28%
15 ๐Ÿ“ˆ Data -22%
16 ๐Ÿ™‚ Support -3%
n=29,223


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 4.67
3 ๐Ÿ‡ต๐Ÿ‡น Ericeira 4.67
4 ๐Ÿ‡ธ๐Ÿ‡ช Malmรถ 4.67
5 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 4.64
6 ๐Ÿ‡ณ๐Ÿ‡ฟ Christchurch 4.61
7 ๐Ÿ‡จ๐Ÿ‡ท Tamarindo 4.58
8 ๐Ÿ‡ช๐Ÿ‡ธ Ibiza 4.56
9 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.52
10 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas 4.51
11 ๐Ÿ‡ณ๐Ÿ‡ด Bergen 4.49
12 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.48
13 ๐Ÿ‡ณ๐Ÿ‡ฑ Utrecht 4.45
14 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.41
15 ๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik 4.39
16 ๐Ÿ‡ฌ๐Ÿ‡ง Manchester 4.39
17 ๐Ÿ‡ณ๐Ÿ‡ฟ Auckland 4.38
18 ๐Ÿ‡บ๐Ÿ‡ธ Honolulu 4.37
19 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 4.37
20 ๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown 4.37
21 ๐Ÿ‡น๐Ÿ‡ญ Ko Lanta 4.37
22 ๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo 4.34
23 ๐Ÿ‡ง๐Ÿ‡ช Antwerp 4.34
24 ๐Ÿ‡ต๐Ÿ‡น Portimรฃo 4.33
25 ๐Ÿ‡ฌ๐Ÿ‡ท Santorini 4.33
26 ๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro 4.33
27 ๐Ÿ‡ช๐Ÿ‡ธ Mallorca 4.31
28 ๐Ÿ‡น๐Ÿ‡ญ Krabi 4.31
29 ๐Ÿ‡ฎ๐Ÿ‡น Catania 4.31
30 ๐Ÿ‡ฒ๐Ÿ‡ฆ Marrakesh 4.31
Based on attractiveness of visitors n=420,363

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

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 5
2 ๐Ÿ‡ฎ๐Ÿ‡น Genoa 4.82
3 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 4.81
4 ๐Ÿ‡ซ๐Ÿ‡ท Cannes 4.8
5 ๐Ÿ‡ต๐Ÿ‡ฑ Gdansk 4.72
6 ๐Ÿ‡ฉ๐Ÿ‡ช Dresden 4.71
7 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.7
8 ๐Ÿ‡บ๐Ÿ‡ธ Orlando 4.7
9 ๐Ÿ‡ฑ๐Ÿ‡ฐ Galle 4.63
10 ๐Ÿ‡ป๐Ÿ‡ณ Nha Trang 4.63
11 ๐Ÿ‡ณ๐Ÿ‡ฑ Rotterdam 4.61
12 ๐Ÿ‡ท๐Ÿ‡บ Moscow 4.61
13 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 4.6
14 ๐Ÿ‡น๐Ÿ‡ญ Ko Samui 4.6
15 ๐Ÿ‡จ๐Ÿ‡ฑ Valparaรญso 4.59
16 ๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan 4.58
17 ๐Ÿ‡ณ๐Ÿ‡ฑ Utrecht 4.58
18 ๐Ÿ‡ป๐Ÿ‡ณ Da Lat 4.57
19 ๐Ÿ‡ฒ๐Ÿ‡ช Budva 4.57
20 ๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu 4.57
21 ๐Ÿ‡ฆ๐Ÿ‡บ Cairns 4.57
22 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.57
23 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.56
24 ๐Ÿ‡ฆ๐Ÿ‡ฟ Baku 4.56
25 ๐Ÿ‡ง๐Ÿ‡ช Bruges 4.56
26 ๐Ÿ‡ฑ๐Ÿ‡น Vilnius 4.55
27 ๐Ÿ‡น๐Ÿ‡ท Izmir 4.54
28 ๐Ÿ‡ฌ๐Ÿ‡ท Rhodes 4.54
29 ๐Ÿ‡ฎ๐Ÿ‡น Amalfi 4.54
30 ๐Ÿ‡ฎ๐Ÿ‡น Milan 4.52
Based on attractiveness of visitors n=420,363


And where do unattractive people go?

๐Ÿ‘จโ€ Where unattractive men travel to

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 3.26
2 ๐Ÿ‡ฎ๐Ÿ‡ณ Goa 3.39
3 ๐Ÿ‡ฎ๐Ÿ‡ฑ Jerusalem 3.5
4 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel 3.5
5 ๐Ÿ‡บ๐Ÿ‡ธ Houston 3.5
6 ๐Ÿ‡ช๐Ÿ‡ธ Alicante 3.5
7 ๐Ÿ‡ต๐Ÿ‡พ Asuncion 3.5
8 ๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru 3.53
9 ๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty 3.54
10 ๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane 3.56
11 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.57
12 ๐Ÿ‡ฒ๐Ÿ‡ช Podgorica 3.57
13 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.6
14 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 3.61
15 ๐Ÿ‡ต๐Ÿ‡ท San Juan 3.64
16 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.65
17 ๐Ÿ‡ฏ๐Ÿ‡ต Hiroshima 3.65
18 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.65
19 ๐Ÿ‡น๐Ÿ‡ญ Hua Hin 3.66
20 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.67
21 ๐Ÿ‡ท๐Ÿ‡บ Moscow 3.67
22 ๐Ÿ‡ช๐Ÿ‡ฌ Cairo 3.68
23 ๐Ÿ‡ด๐Ÿ‡ฒ Muscat 3.68
24 ๐Ÿ‡ฌ๐Ÿ‡ช Batumi 3.68
25 ๐Ÿ‡ฎ๐Ÿ‡ฉ Kuta 3.71
26 ๐Ÿ‡บ๐Ÿ‡ฆ Lviv 3.71
27 ๐Ÿ‡บ๐Ÿ‡ธ Seattle 3.72
28 ๐Ÿ‡ป๐Ÿ‡ณ Nha Trang 3.72
29 ๐Ÿ‡ท๐Ÿ‡ด Bucharest 3.74
30 ๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan 3.74
Based on unattractiveness of visitors n=420,363

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

# City Attractiveness
1 ๐Ÿ‡ช๐Ÿ‡จ Quito 3.17
2 ๐Ÿ‡ต๐Ÿ‡พ Asuncion 3.24
3 ๐Ÿ‡ณ๐Ÿ‡ฟ Wellington 3.27
4 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.31
5 ๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama 3.35
6 ๐Ÿ‡ฆ๐Ÿ‡บ Perth 3.37
7 ๐Ÿ‡จ๐Ÿ‡ฆ Quebec City 3.38
8 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.39
9 ๐Ÿ‡ช๐Ÿ‡จ Cuenca 3.39
10 ๐Ÿ‡ต๐Ÿ‡ท San Juan 3.42
11 ๐Ÿ‡ฌ๐Ÿ‡ง Liverpool 3.46
12 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 3.48
13 ๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty 3.49
14 ๐Ÿ‡ฏ๐Ÿ‡ด Amman 3.5
15 ๐Ÿ‡จ๐Ÿ‡ณ Shenzhen 3.5
16 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.54
17 ๐Ÿ‡จ๐Ÿ‡ด Bogota 3.55
18 ๐Ÿ‡ฒ๐Ÿ‡ฝ Merida 3.55
19 ๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown 3.55
20 ๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo 3.56
21 ๐Ÿ‡จ๐Ÿ‡ด Santa Marta 3.56
22 ๐Ÿ‡จ๐Ÿ‡ณ Macau 3.57
23 ๐Ÿ‡ฌ๐Ÿ‡ง Glasgow 3.58
24 ๐Ÿ‡บ๐Ÿ‡ธ New Orleans 3.58
25 ๐Ÿ‡ฉ๐Ÿ‡ช Dusseldorf 3.59
26 ๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo 3.61
27 ๐Ÿ‡จ๐Ÿ‡ณ Guangzhou 3.63
28 ๐Ÿ‡ฐ๐Ÿ‡ท Jeju Island 3.64
29 ๐Ÿ‡ฏ๐Ÿ‡ฒ Montego Bay 3.66
30 ๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo 3.66
Based on unattractiveness of visitors n=420,363



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