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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

โš– ๏ธ Non-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=47,568


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: 60 minutes ago

๐Ÿ‘ถ Nomads by age

Age %
18
0.1%
21
0.1%
22
0.3%
23
0.3%
24
0.5%
25
1%
26
2%
27
2%
28
1%
29
2%
30
2%
31
3%
32
5%
33
7%
34
7%
35
4%
36
6%
37
8%
38
6%
39
6%
40
6%
41
4%
42
4%
43
3%
44
3%
active last 365d, n=1,034

โ›ณ๏ธ Nomads by nationality

# Country People %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 56,079,111 42%
2 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 9,228,027 7%
3 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 6,159,970 5%
4 ๐Ÿ‡ท๐Ÿ‡บ Russia 5,916,625 4%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 5,754,395 4%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 4,814,415 4%
7 ๐Ÿ‡ง๐Ÿ‡ท Brazil 3,683,576 3%
8 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 3,177,800 2%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 2,552,738 2%
10 ๐Ÿ‡ฎ๐Ÿ‡ณ India 2,514,566 2%
11 ๐Ÿ‡ช๐Ÿ‡ธ Spain 2,509,794 2%
12 ๐Ÿ‡ฎ๐Ÿ‡น Italy 2,046,962 2%
13 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine 1,965,846 1%
14 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1,679,558 1%
15 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 1,378,955 1%
16 ๐Ÿ‡น๐Ÿ‡ท Turkey 1,054,495 1%
17 ๐Ÿ‡ฆ๐Ÿ‡น Austria 1,030,638 1%
18 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 968,609 1%
19 ๐Ÿ‡ธ๐Ÿ‡ช Sweden 949,523 1%
20 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland 925,666 1%
21 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel 844,551 1%
22 ๐Ÿ‡ง๐Ÿ‡ช Belgium 830,236 1%
23 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 801,607 1%
24 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 792,064 1%
25 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 772,978 1%
26 ๐Ÿ‡ต๐Ÿ‡น Portugal 753,893 1%
27 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 725,264 1%
28 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 720,492 1%
29 ๐Ÿ‡ท๐Ÿ‡ด Romania 706,178 1%
30 ๐Ÿ‡จ๐Ÿ‡ณ China 687,092 1%
n=28,299

๐Ÿ‘ถ Nomads by gender

Gender %
๐Ÿ‘จโ€ Men
83%
๐Ÿ‘ฑโ€โ™€๏ธ Women
17%
๐Ÿง‘ Other
0%
active last 365d, n=15,923

๐Ÿ‘€ Nomads by sexuality

Sexuality %
๐Ÿ‘‹ Heterosexual
88%
๐Ÿฆ„ Bisexual
7%
๐Ÿณ๏ธโ€๐ŸŒˆ Gay or lesbian
5%
n=18,294

๐Ÿ™ Nomads by beliefs

Religion %
๐Ÿ’ซ Not religious
51%
๐Ÿ™ Spirituality
28%
โ›ช๏ธ Christianity
11%
๐Ÿ™ Buddhism
3%
๐Ÿ•Œ Islam
3%
โœจ Astrology
2%
๐Ÿ• Judaism
2%
๐Ÿ•‰ Hinduism
1%
๐Ÿ‘ณ Sikhism
0%
n=9,486

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=8,638

๐ŸŽ“ Education

Education %
๐ŸšŒ High School
9%
๐ŸŽ“ Higher education
91%
↱๐Ÿ“œ Bachelor's
53%
↱๐ŸŽ“ Master's
35%
↱๐Ÿ‘ฉโ€๐Ÿซ PhD
3%
n=20,116

โค๏ธ Nomads by relationship

Relationship %
๐Ÿ˜Ž Single
67%
๐Ÿ˜ In a relationship
33%
n=11,694

๐Ÿ‘€ Nomads looking for

Looking for %
๐Ÿค Friends
36%
๐ŸŽ’ Travel buddies
32%
๐Ÿน Casual dating
15%
โค๏ธ Relationship
13%
๐Ÿ‘ Poly dating
4%
n=67,819

๐Ÿ’ฐ Nomads by income

Income %
< $25k / y
7%
$25k - $50k / y
15%
$50k - $100k / y
33%
$100k - $250k / y
35%
> $250k - $1M / y
9%
> $1M / y
2%
Average $125,764 / y
Median $85,000 / y
n=5,939

๐Ÿ’ฐ Nomads by employment

Employment type %
Full time
37%
Freelance
19%
Startup founder
19%
Full time contractor
9%
Agency
8%
Other
6%
Part time
2%
Part time contractor
1%
n=7,743


๐Ÿก Where do nomads work from

Place %
๐Ÿก Home office
58%
๐Ÿฌ Coworking
15%
โ˜•๏ธ Cafe
8%
๐Ÿข Office
8%
๐Ÿ›‹ Couch
4%
๐Ÿฝ Dining table
3%
๐Ÿ› Bed
2%
๐Ÿช‘ Balcony
1%
๐Ÿš Van
1%
๐Ÿ›ฅ Boat
0%
๐Ÿ”ช Kitchen
0%
๐Ÿชด Garden
0%
๐Ÿ’ฆ Pool
0%
๐Ÿ“š Library
0%
n=6,506

๐Ÿ’ฌ What messaging apps nomads use?

Messaging app %
Telegram
50%
Whatsapp
43%
Snapchat
3%
Facebook
2%
WeChat
0%
LINE
0%
Slack
0%
n=6,400


โš–๏ธ Nomad men by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
43%
โš–๏ธ Non-progressive
57%
↱๐Ÿ—ฝ Libertarian
27%
↱โš–๏ธ Centrist
22%
↱๐Ÿ‘ด Conservative
8%
n=3,965

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=898


What do nomads eat?

๐Ÿฅฉ 77% of ๐Ÿ‘จโ€ men eat meat

๐Ÿฅฉ 57% of ๐Ÿ‘ฑโ€โ™€๏ธwomen eat meat

๐Ÿšซ 37% of nomads don't eat meat

๐Ÿฅ’ 11% are vegetarian

๐Ÿฅ‘ 11% are vegan

๐ŸŸ 5% are pescetarian

n=8,478


๐Ÿ• Nomad men by diet

Diet %
๐Ÿฅฉ Eats meat
77%
๐Ÿšซ Does not eat meat
23%
↱๐Ÿฅ’ Vegetarian
10%
↱๐Ÿฅ‘ Vegan
10%
↱๐ŸŸ Pescetarian
4%
n=6,120

๐Ÿ• Nomad women by diet

Diet %
๐Ÿฅฉ Eats meat
57%
๐Ÿšซ Does not eat meat
43%
↱๐Ÿฅ’ Vegetarian
19%
↱๐Ÿฅ‘ Vegan
15%
↱๐ŸŸ Pescetarian
10%
n=1,288


How do nomads work out?

๐Ÿฅพ Hiking

๐Ÿ’ช Fitness

๐Ÿƒ Running

๐Ÿคธโ€โ™€๏ธ Yoga

๐ŸŠ Swimming

๐Ÿšด Cycling

n=16,834


๐Ÿ˜… Nomad men by sports

Sport %
๐Ÿ’ช Fitness
49%
๐Ÿฅพ Hiking
47%
๐Ÿƒ Running
28%
๐Ÿšด Cycling
24%
๐ŸŠ Swimming
23%
๐Ÿคธโ€โ™€๏ธ Yoga
20%
๐Ÿ„ Surfing
18%
โ›ท Skiing
15%
๐ŸŒŠ Diving
15%
๐Ÿ‚ Snowboarding
15%
โ›ฐ Climbing
15%
๐ŸŽพ Tennis
14%
๐Ÿ Motorcycling
13%
๐Ÿ’ช Fight sports
10%
๐Ÿ“ Table tennis
9%
n=11,935

๐Ÿ˜… Nomad women by sports

Sport %
๐Ÿฅพ Hiking
51%
๐Ÿคธโ€โ™€๏ธ Yoga
45%
๐Ÿ’ช Fitness
40%
๐ŸŠ Swimming
25%
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 Volleyball
5%
n=2,717


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=446,243


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‡น๐Ÿ‡ญ Chiang Mai 4.29
4 ๐Ÿ‡ฏ๐Ÿ‡ต Osaka 4.29
5 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 4.29
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 4.17
7 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 4.17
8 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam 4.17
9 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 4.06
10 ๐Ÿ‡ต๐Ÿ‡ฑ Krakรณw 4.00
11 ๐Ÿ‡บ๐Ÿ‡ธ New York City 4.00
12 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud 4.00
13 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 4.00
14 ๐Ÿ‡ง๐Ÿ‡ฌ Bansko 4.00
15 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 4.00
n=6,786

๐Ÿ˜ Most liked cities by women

# City Rating
1 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 4.00
2 ๐Ÿ‡จ๐Ÿ‡ด Medellรญn 3.75
3 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 3.33
4 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 3.33
5 ๐Ÿ‡ต๐Ÿ‡น Azores 3.33
6 ๐Ÿ‡ช๐Ÿ‡ธ Valencia 3.33
7 ๐Ÿ‡ฆ๐Ÿ‡บ Sydney 3.33
8 ๐Ÿ‡ป๐Ÿ‡ณ Da Nang 3.33
9 ๐Ÿ‡ฌ๐Ÿ‡น Antigua 3.33
10 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires 3.33
11 ๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi 3.33
12 ๐Ÿ‡ธ๐Ÿ‡ช Stockholm 3.33
13 ๐Ÿ‡ณ๐Ÿ‡ฑ The Hague 3.33
14 ๐Ÿ‡ง๐Ÿ‡ฌ Bansko 3.33
15 ๐Ÿ‡ฒ๐Ÿ‡พ Johor Bahru 3.33
n=6,786


Most visited countries, on the map

1 trip 59,638 trips (log scale)


๐ŸŒ† Most visited cities

# City % visited
1 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 2.18%
2 ๐Ÿ‡ฌ๐Ÿ‡ง London 2.17%
3 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona 1.46%
4 ๐Ÿ‡ซ๐Ÿ‡ท Paris 1.45%
5 ๐Ÿ‡บ๐Ÿ‡ธ New York City 1.43%
6 ๐Ÿ‡ต๐Ÿ‡น Lisbon 1.43%
7 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin 1.4%
8 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam 1.16%
9 ๐Ÿ‡บ๐Ÿ‡ธ San Francisco 1.1%
10 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 1.04%
11 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 0.96%
12 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 0.93%
13 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu 0.89%
14 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 0.88%
15 ๐Ÿ‡น๐Ÿ‡ท Istanbul 0.85%
16 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 0.82%
17 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 0.8%
18 ๐Ÿ‡บ๐Ÿ‡ธ Los Angeles 0.79%
19 ๐Ÿ‡ฆ๐Ÿ‡ช Dubai 0.77%
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 0.6%
24 ๐Ÿ‡ฎ๐Ÿ‡น Rome 0.59%
25 ๐Ÿ‡ท๐Ÿ‡บ Moscow 0.57%
26 ๐Ÿ‡ฆ๐Ÿ‡น Vienna 0.57%
27 ๐Ÿ‡ฐ๐Ÿ‡ท Seoul 0.55%
28 ๐Ÿ‡ป๐Ÿ‡ณ Ho Chi Minh City 0.54%
29 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong 0.53%
30 ๐Ÿ‡น๐Ÿ‡ญ Phuket 0.51%
n=446,243

๐ŸŒŽ Most visited countries

# Country % visited
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 13%
2 ๐Ÿ‡ช๐Ÿ‡ธ Spain 5%
3 ๐Ÿ‡น๐Ÿ‡ญ Thailand 5%
4 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 4%
5 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 4%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 3%
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 3%
8 ๐Ÿ‡ฎ๐Ÿ‡น Italy 3%
9 ๐Ÿ‡ต๐Ÿ‡น Portugal 3%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Indonesia 2%
11 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 2%
12 ๐Ÿ‡ง๐Ÿ‡ท Brazil 2%
13 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 2%
14 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 2%
15 ๐Ÿ‡ป๐Ÿ‡ณ Vietnam 2%
16 ๐Ÿ‡น๐Ÿ‡ท Turkey 2%
17 ๐Ÿ‡ท๐Ÿ‡บ Russia 1%
18 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1%
19 ๐Ÿ‡จ๐Ÿ‡ด Colombia 1%
20 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 1%
21 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia 1%
22 ๐Ÿ‡ฎ๐Ÿ‡ณ India 1%
23 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 1%
24 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 1%
25 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 1%
26 ๐Ÿ‡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‡บ Hungary 1%
n=446,243

๐Ÿƒ Avg. COโ‚‚ by member traveling

Year COโ‚‚
2013
665 kg/y
2014
985 kg/y
2015
1,073 kg/y
2016
1,287 kg/y
2017
1,466 kg/y
2018
1,537 kg/y
2019
1,570 kg/y
2020
990 kg/y
2021
1,003 kg/y
2022
1,576 kg/y
2023
1,712 kg/y
2024
1,698 kg/y
2025
1,608 kg/y
2026
1,534 kg/y
Average 1,309 kg/y
Median 1,376 kg/y
Based on 446,243 trips by 16,535 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 +24%
2 ๐Ÿ‡ต๐Ÿ‡น Lisbon -16%
3 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona -11%
4 ๐Ÿ‡ฌ๐Ÿ‡ง London -22%
5 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai -2%
6 ๐Ÿ‡ซ๐Ÿ‡ท Paris -24%
7 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam +1%
8 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin -4%
9 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu +2%
10 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo +15%
11 ๐Ÿ‡น๐Ÿ‡ท Istanbul +7%
12 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore +10%
13 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur +28%
14 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City -21%
15 ๐Ÿ‡ญ๐Ÿ‡บ Budapest +14%
median temp=18°C; n=446,243

๐Ÿ‘ฑโ€โ™€๏ธ Where women go most

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‡ต๐Ÿ‡น Lisbon +20%
2 ๐Ÿ‡ฌ๐Ÿ‡ง London +28%
3 ๐Ÿ‡น๐Ÿ‡ญ Bangkok -19%
4 ๐Ÿ‡ซ๐Ÿ‡ท Paris +32%
5 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona +13%
6 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai +2%
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City +27%
8 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin +4%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam -1%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu -2%
11 ๐Ÿ‡ฎ๐Ÿ‡น Rome +27%
12 ๐Ÿ‡น๐Ÿ‡ท Istanbul -6%
13 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud +31%
14 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore -9%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo -13%
median temp=18°C; n=446,243


๐Ÿ‘จ Where men go more

# Tag vs. women
1 ๐Ÿ‡ท๐Ÿ‡บ Russia +78%
2 ๐Ÿ‡ต๐Ÿ‡ฑ Poland +61%
3 ๐Ÿ‡ฌ๐Ÿ‡ช Georgia +50%
4 ๐Ÿ‡ท๐Ÿ‡ด Romania +48%
5 ๐Ÿ‡ต๐Ÿ‡ญ Philippines +35%
6 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong +29%
7 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates +28%
8 ๐Ÿ‡จ๐Ÿ‡ณ China +26%
9 ๐Ÿ‡ท๐Ÿ‡ธ Serbia +26%
10 ๐Ÿ‡ฏ๐Ÿ‡ต Japan +21%
11 ๐Ÿ‡ป๐Ÿ‡ณ Vietnam +20%
12 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia +19%
13 ๐Ÿ‡ณ๐Ÿ‡ด Norway +18%
14 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia +18%
15 ๐Ÿ‡ญ๐Ÿ‡บ Hungary +14%
median temp=13°C; n=446,243

๐Ÿ‘ฑโ€โ™€๏ธ Where women go more

# Tag vs. men
1 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica +53%
2 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa +49%
3 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico +40%
4 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom +31%
5 ๐Ÿ‡ญ๐Ÿ‡ท Croatia +29%
6 ๐Ÿ‡ซ๐Ÿ‡ท France +24%
7 ๐Ÿ‡ฎ๐Ÿ‡น Italy +21%
8 ๐Ÿ‡จ๐Ÿ‡ฑ Chile +18%
9 ๐Ÿ‡ฌ๐Ÿ‡ท Greece +14%
10 ๐Ÿ‡ฆ๐Ÿ‡บ Australia +13%
11 ๐Ÿ‡ต๐Ÿ‡น Portugal +13%
12 ๐Ÿ‡ต๐Ÿ‡ช Peru +10%
13 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland +10%
14 ๐Ÿ‡ช๐Ÿ‡ธ Spain +8%
15 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina +7%
median temp=18°C; n=446,243


๐Ÿ˜ Most liked countries

# Country Rating
1 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 4.85
2 ๐Ÿ‡ญ๐Ÿ‡บ Hungary 4.65
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 4.45
7 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 4.4
8 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 4.4
9 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 4.3
10 ๐Ÿ‡ฌ๐Ÿ‡น Guatemala 4.3
11 ๐Ÿ‡ฐ๐Ÿ‡ฟ Kazakhstan 4.3
12 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 4.25
13 ๐Ÿ‡ช๐Ÿ‡ช Estonia 4.25
14 ๐Ÿ‡ฑ๐Ÿ‡น Lithuania 4.25
15 ๐Ÿ‡ท๐Ÿ‡บ Russia 4.25
n=4,018

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‡ฉ Moldova 2
7 ๐Ÿ‡ฒ๐Ÿ‡น Malta 2.15
8 ๐Ÿ‡จ๐Ÿ‡ฑ Chile 2.25
9 ๐Ÿ‡ฑ๐Ÿ‡ฐ Sri Lanka 2.35
10 ๐Ÿ‡ธ๐Ÿ‡ด Somalia 2.5
11 ๐Ÿ‡ช๐Ÿ‡น Ethiopia 2.5
12 ๐Ÿ‡น๐Ÿ‡ฟ Tanzania 2.5
13 ๐Ÿ‡ธ๐Ÿ‡ณ Senegal 2.5
14 ๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg 2.5
15 ๐Ÿ‡ณ๐Ÿ‡ฎ Nicaragua 2.5
n=4,018


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

Duration %
< 7 days
48%
7 - 30 days
32%
30 - 90 days
14%
90+ days
6%
Average 62 days (2 months)
Median 7 days
n=435,131

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 172 days (6 months)
n=435,131





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=34,173


๐Ÿ‘จ Nomad men work as

# Work % vs. women
1 ๐Ÿ’ป Software Dev 31% +276%
2 ๐Ÿ“‡ Startup Founder 24% +128%
3 ๐Ÿ•ธ Web Dev 24% +275%
4 ๐Ÿ˜ Marketing 13% -13%
5 ๐Ÿ“Š SaaS 12% +176%
6 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 10% -30%
7 ๐Ÿ“ฑ Mobile Dev 10% +334%
8 ๐Ÿค  Product Manager 9% +53%
9 ๐ŸŽจ UI/UX Design 9% +20%
10 ๐Ÿ“ˆ Data 9% +76%
11 ๐Ÿ’ฐ Crypto 9% +255%
12 ๐Ÿ’ฐ Finance 8% +106%
13 ๐Ÿ›’ Ecommerce 7% +82%
14 ๐Ÿค‘ Sales 7% +63%
15 ๐Ÿ—ƒ Dev Ops 5% +435%
n=27,376

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women work as

# Work % vs. men
1 ๐Ÿ˜ Marketing 15% +14%
2 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 15% +42%
3 ๐Ÿ“‡ Startup Founder 11% -56%
4 ๐Ÿ’ป Software Dev 8% -73%
5 ๐ŸŽจ UI/UX Design 8% -16%
6 ๐Ÿค Community 8% +51%
7 ๐Ÿ‘จโ€๐Ÿซ Education 7% +39%
8 ๐Ÿ“ Blogging 7% +44%
9 ๐Ÿ‘Š Coach 7% +48%
10 ๐Ÿ•ธ Web Dev 6% -73%
11 ๐Ÿค  Product Manager 6% -35%
12 ๐Ÿ“ˆ Data 5% -43%
13 ๐Ÿ“Š SaaS 4% -64%
14 ๐Ÿ’ฐ Finance 4% -52%
15 ๐Ÿค‘ Sales 4% -39%
n=6,898


๐Ÿ‘จ Nomad men vs. women

# Tag vs. women
1 ๐Ÿ—ƒ Dev Ops +435%
2 ๐Ÿ“ก Sysadmin +399%
3 ๐Ÿช– Military +354%
4 ๐Ÿ— Engineering +349%
5 ๐Ÿ“ˆ Investor +340%
6 ๐Ÿ“ฑ Mobile Dev +334%
7 ๐Ÿ‘พ Game Dev +306%
8 ๐Ÿค– AI +304%
9 ๐Ÿ’ป Software Dev +276%
10 ๐Ÿ•ธ Web Dev +275%
11 ๐Ÿ’ฐ Crypto +255%
12 ๐Ÿ›ก๏ธ InfoSec +228%
13 ๐Ÿค– AI model +226%
14 ๐Ÿ‘จ Stay-at-home dad +190%
15 ๐Ÿ“Š SaaS +176%
n=34,173

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. men
1 ๐Ÿ‘ธ House wife +165%
2 ๐Ÿง‘โ€๐Ÿ’ผ Human resources +100%
3 ๐Ÿ‘— Tradwife +98%
4 ๐Ÿ“ฐ Journalism +84%
5 ๐Ÿง  Psychologist +79%
6 ๐Ÿฅ Healthcare +69%
7 ๐Ÿ™‚ Support +65%
8 ๐Ÿ‘‹ Hospitality +63%
9 ๐Ÿ‘จโ€โš•๏ธ Medical +54%
10 ๐Ÿค Community +51%
11 ๐Ÿ‘Š Coach +48%
12 ๐Ÿ“ Blogging +44%
13 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +42%
14 ๐Ÿ‘จโ€๐Ÿซ Education +39%
15 ๐Ÿ“ž Recruitment +36%
n=34,173


How do nomads describe themselves?

โ˜•๏ธ Coffee

๐Ÿ‡ฌ๐Ÿ‡ง Speaks English

๐Ÿ™‚ Optimist

โ›ฐ Outdoors

๐Ÿ˜Ž Single

๐Ÿ’ช Fitness

n=34,173


๐Ÿ‘จโ€ Nomad men

# Tag % vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 โ˜•๏ธ Coffee 32% +13%
2 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 28% +9%
3 ๐Ÿ™‚ Optimist 27% +15%
4 ๐Ÿ’ช Fitness 22% +33%
5 ๐Ÿ˜Ž Single 22% +19%
6 ๐Ÿง  Open-minded 21% +10%
7 โ›ฐ Outdoors 21% -7%
8 ๐Ÿฅพ Hiking 21% +1%
9 ๐Ÿ’‰ COVID vaccinated 21% +8%
10 ๐Ÿถ Dogs 21% -7%
11 โ˜€๏ธ Waking up early 20% +11%
12 ๐Ÿบ Beer 20% +104%
13 ๐ŸŒ™ Staying up late 19% +38%
14 ๐Ÿ“– Reading 19% -6%
15 ๐Ÿšญ No smoking 19% +10%
n=27,376

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women

# Tag % vs. ๐Ÿ‘จโ€
1 โ˜•๏ธ Coffee 29% -11%
2 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 26% -8%
3 ๐Ÿ™‚ Optimist 23% -13%
4 โ›ฐ Outdoors 23% +8%
5 ๐Ÿถ Dogs 22% +7%
6 ๐Ÿฅพ Hiking 21% -1%
7 ๐Ÿท Wine 21% +14%
8 ๐Ÿ“– Reading 20% +7%
9 ๐Ÿ’‰ COVID vaccinated 20% -7%
10 ๐Ÿง  Open-minded 19% -9%
11 ๐Ÿต Tea 19% +16%
12 ๐Ÿคธโ€โ™€๏ธ Yoga 19% +108%
13 ๐Ÿ˜Ž Single 19% -16%
14 โ˜€๏ธ Waking up early 18% -10%
15 ๐Ÿšญ No smoking 17% -9%
n=6,898


๐Ÿ‘จ Nomad men vs. women

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿ‘จ No beard +507%
2 โšฝ๏ธ Football +364%
3 ๐Ÿง‘โ€ Short hair +324%
4 ๐Ÿช‚ Dropout +255%
5 โœˆ๏ธ Private pilot +240%
6 ๐Ÿ’ Ice hockey +224%
7 ๐Ÿ€ Basketball +223%
8 โ™Ÿ๏ธ Chess +197%
9 ๐Ÿ•‰ Hindu +191%
10 ๐ŸŽ Race sports +189%
11 ๐Ÿ“ Table tennis +180%
12 ๐Ÿ Motorcycling +180%
13 ๐Ÿ’ช Fight sports +168%
14 ๐Ÿ‘ด Conservative politics +168%
15 ๐Ÿš Creatine +153%
n=34,173

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ’„ Makeup +4,177%
2 ๐Ÿคธโ€โ™€๏ธ Pilates +928%
3 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +396%
4 ๐Ÿถ Ceramics +337%
5 โšฑ๏ธ Luxury brands +297%
6 ๐Ÿ‘— Dress up +290%
7 โœจ Astrology +279%
8 ๐Ÿ’ช Feminism +258%
9 โœจ Believe in astrology +183%
10 ๐ŸŸฅ Red hair +158%
11 ๐Ÿ’ƒ Fashion +154%
12 ๐Ÿถ Pottery +151%
13 ๐ŸŽจ Drawing +142%
14 ๐Ÿ’ƒ Dancing +126%
15 ๐Ÿ› Shopping +123%
n=34,173




๐Ÿ’‰ Nomads by vaccination

Vaccinated %
๐Ÿ’‰ COVID vaccinated
92%
๐Ÿ’‰ Not COVID vaccinated
8%
n=8,553

๐Ÿ’‰ Vaccination (men)

Vaccinated%
๐Ÿ’‰ Vaccinated
91%
๐Ÿ’‰ Not vaccinated
9%
n=6,288

๐Ÿ’‰ Vaccination (women)

Vaccinated%
๐Ÿ’‰ Vaccinated
93%
๐Ÿ’‰ Not vaccinated
7%
n=1,453

โค๏ธ Nomads by family

Relationship %
โค๏ธ Close to parents
82%
๐Ÿ’” Not close to parents
18%
n=2,708

๐Ÿ‘ถ Nomads by childhood

Childhood %
๐Ÿ˜Š Happy childhood
89%
๐Ÿ˜” Unhappy childhood
11%
n=2,924

๐Ÿ‘จ Childhood (men)

Childhood%
๐Ÿ˜Š Happy childhood
90%
๐Ÿ˜” Unhappy childhood
10%
n=2,240

๐Ÿ‘ฉ Childhood (women)

Childhood%
๐Ÿ˜Š Happy childhood
87%
๐Ÿ˜” Unhappy childhood
13%
n=418

๐Ÿก Homeownership amongst nomads

Homeownership %
๐Ÿก Homeowner
56%
๐Ÿก Not a homeowner
44%
n=3,158


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˜ In a relationship

๐Ÿ’” My parents separated

๐Ÿ Volleyball

๐Ÿง’ Only child

๐Ÿฉ Samoyeds

n=34,173


๐Ÿ‘จโ€ Most attractive men's traits

# Tag Diff
1 ๐Ÿงฌ Longevity +223%
2 ๐Ÿณ๏ธโ€๐ŸŒˆ LGBTQ+ +220%
3 ๐Ÿš Creatine +170%
4 ๐Ÿ˜ In a relationship +144%
5 ๐Ÿ’ฆ Sparkling water +133%
6 ๐Ÿง— Bouldering +113%
7 ๐Ÿธ Padel +106%
8 ๐Ÿข Slowmad +97%
9 ๐Ÿ€ Basketball +90%
10 โœจ Believe in astrology +87%
11 ๐Ÿก Architecture +82%
12 ๐Ÿ๏ธ Live near the beach +82%
13 ๐Ÿก Homeowner +76%
14 ๐ŸŽฒ Board games +75%
15 ๐ŸŽง Dubstep music +73%
16 ๐Ÿ’ฌ ๐• +72%
17 ๐Ÿฅš Soft boiled eggs +72%
18 ๐Ÿ‡ฏ๐Ÿ‡ฒ Reggae music +70%
19 ๐ŸŽง Hiphop music +68%
20 ๐Ÿก Not a homeowner +66%
21 ๐ŸŽค Podcast +64%
22 ๐Ÿง‘โ€ Short hair +62%
23 ๐Ÿ‚ Skateboarding +61%
24 โ›ณ๏ธ Golf +60%
25 ๐ŸŒŠ Free diving +60%
26 ๐Ÿ’ฆ Still water +59%
27 ๐ŸŽง Drum & Bass music +58%
28 ๐Ÿ‘ผ Youngest child +58%
29 ๐Ÿ‹๏ธโ€ Weightlifting +58%
30 ๐Ÿคฟ Snorkeling +58%
n=34,173

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

# Tag Diff
1 ๐Ÿฉ Samoyeds +231%
2 ๐Ÿ’” My parents separated +228%
3 ๐Ÿง’ Only child +223%
4 ๐Ÿ Volleyball +205%
5 ๐ŸŽพ Tennis +201%
6 ๐Ÿ› Shopping +193%
7 ๐Ÿšฌ Social smoker +191%
8 ๐Ÿ“ Table tennis +175%
9 ๐Ÿƒ Running +172%
10 ๐ŸŽง Trance music +169%
11 ๐Ÿงผ Clean freak +164%
12 ๐Ÿ˜ In a relationship +158%
13 ๐Ÿ„ Surfing +151%
14 โ›ท Skiing +145%
15 ๐Ÿ‘จโ€๐ŸŽค Partying +143%
16 ๐Ÿ—ฝ Libertarian politics +141%
17 ๐ŸŸ Pescetarian +134%
18 โฌœ๏ธ Has no tattoos +128%
19 ๐Ÿšด Cycling +123%
20 ๐Ÿฅ‘ Vegan +118%
21 ๐ŸŽ’ Backpacking +115%
22 ๐Ÿฅš Hard boiled eggs +115%
23 ๐ŸŒ™ Staying up late +113%
24 ๐Ÿ Motorcycling +112%
25 ๐Ÿ 420 +112%
26 ๐Ÿบ Beer +111%
27 ๐Ÿš Vanlife +111%
28 ๐Ÿ‡จ๐Ÿ‡ณ Chinese food +110%
29 ๐Ÿ’ซ Not religious +108%
30 โ›ฑ Beach +106%
n=34,173


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

๐Ÿ’„ Makeup

โšฑ๏ธ Luxury brands

๐Ÿ‡ฐ๐Ÿ‡ท K-pop music

๐Ÿช‚ Skydiving

๐Ÿ„ Bodyboarding

n=34,173


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

# Tag Diff
1 ๐Ÿ˜ˆ FetLife -2,809%
2 ๐Ÿ’„ Makeup -546%
3 โšฑ๏ธ Luxury brands -223%
4 ๐Ÿ‡ฐ๐Ÿ‡ท K-pop music -205%
5 ๐Ÿช‚ Skydiving -158%
6 ๐Ÿ„ Bodyboarding -90%
7 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -80%
8 ๐ŸŽญ Swinging -76%
9 ๐ŸŽง Garage music -44%
10 ๐ŸŽณ Bowling -39%
11 ๐Ÿ Cricket -35%
12 ๐Ÿ“” Religious -30%
13 โœˆ๏ธ Private pilot -26%
14 ๐ŸŽง Trance music -22%
15 ๐Ÿ˜ˆ Kink -21%
16 ๐Ÿช‚ Paragliding -20%
17 ๐Ÿ˜Ž Single -19%
18 ๐Ÿ Motorcycling -18%
19 ๐Ÿ– Paleo -14%
20 ๐ŸŒป Gardening -11%
21 ๐Ÿ‘… Sex positive -11%
22 ๐Ÿฉ Samoyeds -8%
23 ๐Ÿ› Shopping -7%
24 ๐ŸŽ Race sports -7%
25 ๐Ÿš Urbex -5%
26 ๐Ÿ’ช Feminism -4%
27 ๐Ÿ‘จโ€๐Ÿฆฒ Bald -3%
28 ๐Ÿณ๏ธโ€๐ŸŒˆ Progressive politics -1%
n=34,173

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

# Tag Diff
1 ๐Ÿ’ฅ Messy -2,176%
2 ๐ŸŒธ Anime -1,363%
3 ๐Ÿข Slowmad -1,228%
4 ๐Ÿ๏ธ Live near the beach -1,065%
5 ๐Ÿšฌ Daily smoker -1,065%
6 ๐Ÿ’ฆ Still water -1,065%
7 ๐Ÿง Pessimist -984%
8 ๐Ÿง— Bouldering -930%
9 ๐Ÿงฌ Longevity -821%
10 ๐Ÿ‘ด Conservative politics -686%
11 ๐ŸŽค Podcast -659%
12 ๐Ÿ’ฆ Sparkling water -632%
13 ๐Ÿ’ƒ Fashion -577%
14 ๐Ÿ’… Nails -523%
15 ๐Ÿ’ฌ Snapchat -415%
16 ๐Ÿ— Vintage -415%
17 ๐Ÿš Creatine -388%
18 ๐Ÿ‡ต๐Ÿ‡ท Reggaeton music -361%
19 ๐Ÿ’ฌ TikTok -361%
20 ๐Ÿ”๏ธ Live in the mountains -279%
21 ๐Ÿ˜ˆ FetLife -252%
22 ๐Ÿ‘  High heels -252%
23 ๐Ÿงถ Knitting -225%
24 ๐Ÿถ Pottery -225%
25 ๐Ÿ“ Pickleball -198%
26 ๐Ÿ’Ž Jewelry -171%
27 โšฑ๏ธ Luxury brands -144%
28 โœจ Believe in astrology -128%
29 โค๏ธ Happy childhood -94%
30 ๐Ÿ€ Basketball -92%
n=34,173


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

๐Ÿ“ž Recruitment

๐Ÿค Community

๐Ÿ“Š SaaS

๐Ÿค Consulting

๐Ÿค– AI model

n=34,173


๐Ÿ‘จโ€ Attractive men's jobs

# Tag Diff
1 ๐Ÿค Consulting +122%
2 ๐Ÿค– AI model +119%
3 ๐ŸŽจ Artist +112%
4 ๐Ÿ“น Content Creator +77%
5 ๐Ÿ‘จโ€โš•๏ธ Medical +74%
6 ๐Ÿ“ธ Model +68%
7 ๐Ÿ“Š SaaS +68%
8 ๐ŸŽจ UI/UX Design +62%
9 ๐Ÿง  Psychologist +60%
10 ๐Ÿ“ž Recruitment +58%
11 ๐Ÿšš Logistics +52%
12 ๐Ÿค  Product Manager +49%
13 ๐Ÿ‘Š Coach +48%
14 ๐Ÿ›’ Ecommerce +46%
15 ๐Ÿ˜Ž VR Dev +43%
16 ๐Ÿ“ฑ Mobile Dev +38%
17 ๐Ÿ“ˆ Data +36%
18 ๐Ÿ˜ Marketing +35%
19 ๐Ÿค‘ Sales +35%
20 ๐Ÿ— Engineering +34%
21 ๐Ÿ“‡ Startup Founder +34%
22 ๐Ÿ’ป Software Dev +32%
23 ๐Ÿ“ˆ Investor +32%
24 ๐Ÿ—ƒ Dev Ops +31%
25 ๐Ÿ’ช Fitness +31%
26 ๐Ÿ‘พ Game Dev +25%
27 ๐Ÿ•ธ Web Dev +24%
28 ๐Ÿค Community +19%
29 ๐Ÿ“ก Sysadmin +19%
30 ๐Ÿ“ Blogging +19%
n=34,173

๐Ÿ‘ฑโ€โ™€๏ธ Attractive women's jobs

# Tag Diff
1 ๐Ÿ“ฑ Mobile Dev +160%
2 ๐Ÿ“ž Recruitment +127%
3 ๐Ÿค Community +115%
4 ๐Ÿ’ป Software Dev +86%
5 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +82%
6 ๐Ÿ’ช Fitness +77%
7 ๐Ÿ‘Š Coach +69%
8 ๐Ÿ“‡ Startup Founder +67%
9 ๐Ÿ‘จโ€๐Ÿซ Education +63%
10 ๐Ÿ“ฐ Journalism +59%
11 ๐Ÿ“ Blogging +57%
12 ๐Ÿ•ธ Web Dev +57%
13 ๐ŸŽจ UI/UX Design +56%
14 ๐Ÿ“Š SaaS +54%
15 ๐Ÿค  Product Manager +44%
16 ๐Ÿ˜ Marketing +41%
17 ๐Ÿ›’ Ecommerce +38%
18 ๐Ÿ’ฐ Finance +7%
n=34,173


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‘จ Stay-at-home dad

๐Ÿช– Military

๐Ÿ  Real estate

๐Ÿ›ก๏ธ InfoSec

๐Ÿ‘ฉโ€๐Ÿ’ผ Law

n=34,173


๐Ÿ‘จโ€ Most unattractive men's jobs

# Tag Diff
1 ๐Ÿ‘จ Stay-at-home dad -726%
2 ๐Ÿช– Military -546%
3 ๐Ÿšฉ Politics -118%
4 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law -66%
5 ๐Ÿก Architecture -52%
6 ๐Ÿ“ฐ Journalism -47%
7 ๐Ÿ  Real estate -45%
8 ๐Ÿ›ก๏ธ InfoSec -8%
9 ๐ŸŒถ Adult -8%
10 ๐Ÿ—บ Geo -4%
11 ๐Ÿ™‚ Support -2%
n=34,173

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

# Tag Diff
1 ๐Ÿ“น Content Creator -1,526%
2 ๐Ÿšฉ Politics -1,363%
3 ๐ŸŽจ Artist -876%
4 ๐Ÿฅ Healthcare -686%
5 ๐Ÿ˜Ž VR Dev -659%
6 ๐Ÿ“ˆ Investor -415%
7 ๐ŸŽต Music -388%
8 ๐Ÿค– AI model -388%
9 ๐Ÿ  Real estate -361%
10 ๐Ÿ›ก๏ธ InfoSec -225%
11 ๐Ÿ‘‹ Hospitality -156%
12 ๐Ÿ™‚ Support -37%
13 ๐Ÿƒ Sports -33%
14 ๐Ÿ“ˆ Data -32%
15 ๐Ÿค‘ Sales -23%
16 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law -21%
17 ๐Ÿ’ฐ Crypto -13%
18 ๐Ÿ—บ Geo -6%
19 ๐Ÿ‘พ Game Dev -3%
n=34,173


Where do attractive people go?

๐Ÿ‘จโ€ Where attractive men travel to

# City Attractiveness
1 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 5
2 ๐Ÿ‡ธ๐Ÿ‡ช Malmรถ 4.69
3 ๐Ÿ‡ต๐Ÿ‡น Ericeira 4.63
4 ๐Ÿ‡ต๐Ÿ‡น Portimรฃo 4.6
5 ๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu 4.59
6 ๐Ÿ‡ณ๐Ÿ‡ฑ Utrecht 4.59
7 ๐Ÿ‡ช๐Ÿ‡ธ Ibiza 4.59
8 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.58
9 ๐Ÿ‡จ๐Ÿ‡ท Tamarindo 4.58
10 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas 4.56
11 ๐Ÿ‡ฆ๐Ÿ‡น Salzburg 4.55
12 ๐Ÿ‡ณ๐Ÿ‡ฟ Christchurch 4.5
13 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.49
14 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 4.45
15 ๐Ÿ‡ช๐Ÿ‡ธ Mallorca 4.45
16 ๐Ÿ‡ณ๐Ÿ‡ด Bergen 4.45
17 ๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo 4.44
18 ๐Ÿ‡ฎ๐Ÿ‡น Catania 4.41
19 ๐Ÿ‡บ๐Ÿ‡ธ Honolulu 4.4
20 ๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik 4.4
21 ๐Ÿ‡น๐Ÿ‡ญ Ko Lanta 4.37
22 ๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown 4.37
23 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 4.37
24 ๐Ÿ‡ฌ๐Ÿ‡ท Santorini 4.37
25 ๐Ÿ‡จ๐Ÿ‡ญ Zurich 4.37
26 ๐Ÿ‡ณ๐Ÿ‡ด Oslo 4.37
27 ๐Ÿ‡ช๐Ÿ‡ธ Tenerife 4.37
28 ๐Ÿ‡ฒ๐Ÿ‡ป Male 4.37
29 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.36
30 ๐Ÿ‡ฒ๐Ÿ‡ฆ Marrakesh 4.35
Based on attractiveness of visitors n=446,243

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

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 5
2 ๐Ÿ‡ต๐Ÿ‡ฑ Gdansk 4.9
3 ๐Ÿ‡บ๐Ÿ‡ธ Orlando 4.89
4 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.84
5 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 4.82
6 ๐Ÿ‡ฎ๐Ÿ‡น Genoa 4.77
7 ๐Ÿ‡ฑ๐Ÿ‡ฐ Galle 4.7
8 ๐Ÿ‡ป๐Ÿ‡ณ Nha Trang 4.7
9 ๐Ÿ‡ฉ๐Ÿ‡ช Dresden 4.65
10 ๐Ÿ‡จ๐Ÿ‡ฑ Valparaรญso 4.62
11 ๐Ÿ‡ท๐Ÿ‡บ Moscow 4.6
12 ๐Ÿ‡น๐Ÿ‡ญ Ko Samui 4.59
13 ๐Ÿ‡ป๐Ÿ‡ณ Da Lat 4.59
14 ๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan 4.59
15 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.59
16 ๐Ÿ‡ง๐Ÿ‡ช Ghent 4.57
17 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 4.57
18 ๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu 4.57
19 ๐Ÿ‡ฎ๐Ÿ‡ฑ Tel Aviv 4.57
20 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.57
21 ๐Ÿ‡ฆ๐Ÿ‡บ Cairns 4.55
22 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 4.55
23 ๐Ÿ‡ฒ๐Ÿ‡ช Budva 4.55
24 ๐Ÿ‡ฌ๐Ÿ‡ท Rhodes 4.54
25 ๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg 4.54
26 ๐Ÿ‡ฌ๐Ÿ‡ช Batumi 4.54
27 ๐Ÿ‡ต๐Ÿ‡ฑ Warsaw 4.54
28 ๐Ÿ‡ฎ๐Ÿ‡น Amalfi 4.54
29 ๐Ÿ‡บ๐Ÿ‡ธ Chicago 4.53
30 ๐Ÿ‡ณ๐Ÿ‡ด Oslo 4.53
Based on attractiveness of visitors n=446,243


And where do unattractive people go?

๐Ÿ‘จโ€ Where unattractive men travel to

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 3.39
2 ๐Ÿ‡ป๐Ÿ‡ณ Phu Quoc 3.47
3 ๐Ÿ‡ฎ๐Ÿ‡ณ Goa 3.52
4 ๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru 3.52
5 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel 3.56
6 ๐Ÿ‡ฒ๐Ÿ‡ฉ Chisinau 3.57
7 ๐Ÿ‡ฆ๐Ÿ‡ท Cordoba 3.57
8 ๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane 3.58
9 ๐Ÿ‡ฒ๐Ÿ‡ช Podgorica 3.6
10 ๐Ÿ‡ต๐Ÿ‡พ Asuncion 3.62
11 ๐Ÿ‡ฌ๐Ÿ‡ง Belfast 3.62
12 ๐Ÿ‡ฌ๐Ÿ‡ช Batumi 3.64
13 ๐Ÿ‡ด๐Ÿ‡ฒ Muscat 3.64
14 ๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty 3.64
15 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 3.65
16 ๐Ÿ‡บ๐Ÿ‡ธ Seattle 3.66
17 ๐Ÿ‡ฎ๐Ÿ‡ฉ Kuta 3.66
18 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.67
19 ๐Ÿ‡ช๐Ÿ‡ฌ Cairo 3.68
20 ๐Ÿ‡ฉ๐Ÿ‡ช Dusseldorf 3.69
21 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.69
22 ๐Ÿ‡ช๐Ÿ‡ธ Alicante 3.69
23 ๐Ÿ‡ฏ๐Ÿ‡ต Hiroshima 3.69
24 ๐Ÿ‡ฎ๐Ÿ‡น Turin 3.71
25 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.75
26 ๐Ÿ‡ป๐Ÿ‡ณ Nha Trang 3.75
27 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.76
28 ๐Ÿ‡บ๐Ÿ‡ฆ Lviv 3.76
29 ๐Ÿ‡ณ๐Ÿ‡ฑ Rotterdam 3.76
30 ๐Ÿ‡ฎ๐Ÿ‡ฑ Jerusalem 3.77
Based on unattractiveness of visitors n=446,243

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

# City Attractiveness
1 ๐Ÿ‡ณ๐Ÿ‡ฟ Wellington 3.21
2 ๐Ÿ‡ช๐Ÿ‡จ Quito 3.29
3 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.32
4 ๐Ÿ‡จ๐Ÿ‡ณ Macau 3.35
5 ๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama 3.38
6 ๐Ÿ‡ฆ๐Ÿ‡บ Perth 3.38
7 ๐Ÿ‡ฏ๐Ÿ‡ต Hiroshima 3.39
8 ๐Ÿ‡ต๐Ÿ‡ท San Juan 3.42
9 ๐Ÿ‡ช๐Ÿ‡จ Cuenca 3.43
10 ๐Ÿ‡จ๐Ÿ‡ด Santa Marta 3.44
11 ๐Ÿ‡ฏ๐Ÿ‡ด Amman 3.51
12 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.54
13 ๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown 3.55
14 ๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo 3.55
15 ๐Ÿ‡จ๐Ÿ‡ฆ Quebec City 3.57
16 ๐Ÿ‡ต๐Ÿ‡พ Asuncion 3.57
17 ๐Ÿ‡ฏ๐Ÿ‡ฒ Montego Bay 3.57
18 ๐Ÿ‡ฒ๐Ÿ‡ฝ Merida 3.58
19 ๐Ÿ‡จ๐Ÿ‡ด Bogota 3.58
20 ๐Ÿ‡จ๐Ÿ‡ณ Shenzhen 3.6
21 ๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo 3.61
22 ๐Ÿ‡ฒ๐Ÿ‡ป Male 3.67
23 ๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane 3.67
24 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.67
25 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel 3.68
26 ๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo 3.68
27 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.69
28 ๐Ÿ‡ฒ๐Ÿ‡ฆ Essaouira 3.69
29 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.69
30 ๐Ÿ‡ฐ๐Ÿ‡ท Jeju Island 3.69
Based on unattractiveness of visitors n=446,243



Where do the most educated nomads travel?

Share of the visiting nomads who travel to each city (locals excluded) who hold a ๐ŸŽ“ graduate degree (a Master's or PhD), based on the highest degree they selected on their profile. Adjusted for sample size so cities with few visitors don't dominate.

๐ŸŽ“ Where the most educated people travel to

# City Graduate degree
1 ๐Ÿ‡จ๐Ÿ‡พ Larnaca 47%
2 ๐Ÿ‡ง๐Ÿ‡พ Minsk 46%
3 ๐Ÿ‡ต๐Ÿ‡น Madeira 45%
4 ๐Ÿ‡บ๐Ÿ‡ธ Boston 44%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Dresden 44%
6 ๐Ÿ‡ท๐Ÿ‡ด Brasov 44%
7 ๐Ÿ‡ฒ๐Ÿ‡ฉ Chisinau 44%
8 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 44%
9 ๐Ÿ‡บ๐Ÿ‡ธ Seattle 43%
10 ๐Ÿ‡ฌ๐Ÿ‡ช Batumi 43%
11 ๐Ÿ‡ณ๐Ÿ‡ฑ The Hague 43%
12 ๐Ÿ‡ฑ๐Ÿ‡ง Beirut 43%
13 ๐Ÿ‡ฒ๐Ÿ‡ฆ Taghazout 43%
14 ๐Ÿ‡ฌ๐Ÿ‡ท Thessaloniki 43%
15 ๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg 43%
16 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 43%
17 ๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek 43%
18 ๐Ÿ‡ฆ๐Ÿ‡ฉ Andorra la Vella 43%
19 ๐Ÿ‡จ๐Ÿ‡ญ Geneva 42%
20 ๐Ÿ‡จ๐Ÿ‡พ Limassol 42%
21 ๐Ÿ‡ช๐Ÿ‡ช Tallinn 42%
22 ๐Ÿ‡จ๐Ÿ‡ฆ Montreal 42%
23 ๐Ÿ‡ต๐Ÿ‡น Azores 42%
24 ๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo 42%
25 ๐Ÿ‡ฑ๐Ÿ‡ป Riga 42%
26 ๐Ÿ‡ต๐Ÿ‡ฑ Gdansk 42%
27 ๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan 42%
28 ๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana 42%
29 ๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama 42%
30 ๐Ÿ‡ช๐Ÿ‡ธ Gran Canaria 42%
Share of visiting nomads with a graduate degree n=126,852 nomads

๐ŸšŒ Where the least educated people travel to

# City Graduate degree
1 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas 26%
2 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 26%
3 ๐Ÿ‡ฒ๐Ÿ‡ฆ Tangier 28%
4 ๐Ÿ‡น๐Ÿ‡ญ Krabi 28%
5 ๐Ÿ‡จ๐Ÿ‡ท Tamarindo 28%
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita 29%
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 29%
8 ๐Ÿ‡จ๐Ÿ‡ณ Guangzhou 30%
9 ๐Ÿ‡น๐Ÿ‡ญ Ao Nang 30%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta 30%
11 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 30%
12 ๐Ÿ‡ฎ๐Ÿ‡ฉ Seminyak 31%
13 ๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende 31%
14 ๐Ÿ‡ฏ๐Ÿ‡ต Osaka 31%
15 ๐Ÿ‡ป๐Ÿ‡ณ Hue 31%
16 ๐Ÿ‡ฌ๐Ÿ‡น Antigua 31%
17 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 31%
18 ๐Ÿ‡ฏ๐Ÿ‡ต Hiroshima 31%
19 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 32%
20 ๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo 32%
21 ๐Ÿ‡จ๐Ÿ‡ท Santa Teresa 32%
22 ๐Ÿ‡ฆ๐Ÿ‡บ Perth 32%
23 ๐Ÿ‡น๐Ÿ‡ผ Taipei 32%
24 ๐Ÿ‡น๐Ÿ‡ญ Pai 32%
25 ๐Ÿ‡ป๐Ÿ‡ณ Hanoi 32%
26 ๐Ÿ‡จ๐Ÿ‡ณ Chengdu 32%
27 ๐Ÿ‡ณ๐Ÿ‡ฑ Utrecht 32%
28 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 32%
29 ๐Ÿ‡ป๐Ÿ‡ณ Da Nang 32%
30 ๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane 33%
Share of visiting nomads with a graduate degree n=126,852 nomads



How old are the nomads who travel to each city?

Median age of the visiting nomads who travel to each city (people who live there are excluded), based on the birth date on their profile.

๐Ÿฃ Youngest visiting nomads

#CityMedian age
1๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty33 yrs
2๐Ÿ‡บ๐Ÿ‡ธ Asheville33 yrs
3๐Ÿ‡บ๐Ÿ‡ฟ Tashkent33 yrs
4๐Ÿ‡น๐Ÿ‡ท Ankara33 yrs
5๐Ÿ‡ฎ๐Ÿ‡น Pisa33 yrs
6๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu34 yrs
7๐Ÿ‡ต๐Ÿ‡ฑ Warsaw34 yrs
8๐Ÿ‡ต๐Ÿ‡ญ Siargao34 yrs
9๐Ÿ‡จ๐Ÿ‡ณ Chengdu34 yrs
10๐Ÿ‡จ๐Ÿ‡ณ Guangzhou34 yrs
11๐Ÿ‡บ๐Ÿ‡ธ Austin34 yrs
12๐Ÿ‡ฌ๐Ÿ‡ช Batumi34 yrs
13๐Ÿ‡น๐Ÿ‡ท Antalya34 yrs
14๐Ÿ‡บ๐Ÿ‡ธ Minneapolis34 yrs
15๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek34 yrs
16๐Ÿ‡ฒ๐Ÿ‡ฆ Taghazout34 yrs
17๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan34 yrs
18๐Ÿ‡จ๐Ÿ‡ฟ Brno34 yrs
19๐Ÿ‡ฒ๐Ÿ‡ช Podgorica34 yrs
20๐Ÿ‡ฎ๐Ÿ‡น Milan34 yrs
21๐Ÿ‡ถ๐Ÿ‡ฆ Doha34 yrs
22๐Ÿ‡ฌ๐Ÿ‡ช Kutaisi34 yrs
23๐Ÿ‡ฆ๐Ÿ‡ท Bariloche34 yrs
24๐Ÿ‡ฌ๐Ÿ‡ง Oxford34 yrs
25๐Ÿ‡ธ๐Ÿ‡ช Gothenburg34 yrs
26๐Ÿ‡บ๐Ÿ‡ธ Phoenix34 yrs
27๐Ÿ‡บ๐Ÿ‡ธ Detroit34 yrs
28๐Ÿ‡ฌ๐Ÿ‡ง Cambridge34 yrs
29๐Ÿ‡บ๐Ÿ‡ธ Charlotte34 yrs
30๐Ÿ‡ป๐Ÿ‡ฆ Vatican City34 yrs
Median age of visiting nomads (locals excluded)n=204,447 nomads

๐Ÿง“ Oldest visiting nomads

#CityMedian age
1๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende41 yrs
2๐Ÿ‡ง๐Ÿ‡ท Recife40 yrs
3๐Ÿ‡ฒ๐Ÿ‡ฝ Puebla39 yrs
4๐Ÿ‡ฎ๐Ÿ‡ณ Hyderabad39 yrs
5๐Ÿ‡ฒ๐Ÿ‡ฒ Yangon38 yrs
6๐Ÿ‡น๐Ÿ‡ญ Hua Hin38 yrs
7๐Ÿ‡จ๐Ÿ‡ท Puerto Viejo38 yrs
8๐Ÿ‡ฎ๐Ÿ‡ช Galway38 yrs
9๐Ÿ‡บ๐Ÿ‡ธ St. Louis38 yrs
10๐Ÿ‡ณ๐Ÿ‡ฟ Wellington38 yrs
11๐Ÿ‡ฒ๐Ÿ‡ฝ Merida38 yrs
12๐Ÿ‡น๐Ÿ‡ญ Ko Lanta38 yrs
13๐Ÿ‡ง๐Ÿ‡ท Fortaleza38 yrs
14๐Ÿ‡ช๐Ÿ‡จ Cuenca38 yrs
15๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Vallarta37.5 yrs
16๐Ÿ‡จ๐Ÿ‡ฆ Quebec City37.5 yrs
17๐Ÿ‡จ๐Ÿ‡ฑ Valparaรญso37.5 yrs
18๐Ÿ‡บ๐Ÿ‡ธ Tampa37.5 yrs
19๐Ÿ‡บ๐Ÿ‡ฆ Odessa37 yrs
20๐Ÿ‡ฑ๐Ÿ‡ง Beirut37 yrs
21๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita37 yrs
22๐Ÿ‡ฌ๐Ÿ‡ง Belfast37 yrs
23๐Ÿ‡ง๐Ÿ‡ธ Nassau37 yrs
24๐Ÿ‡ฆ๐Ÿ‡ฉ Andorra la Vella37 yrs
25๐Ÿ‡ฒ๐Ÿ‡ฝ Isla Mujeres37 yrs
26๐Ÿ‡ฌ๐Ÿ‡ง Brighton37 yrs
27๐Ÿ‡ต๐Ÿ‡ฆ Bocas del Toro37 yrs
28๐Ÿ‡ซ๐Ÿ‡ท Montpellier37 yrs
29๐Ÿ‡ช๐Ÿ‡ธ Tarifa37 yrs
30๐Ÿ‡ฆ๐Ÿ‡บ Cairns37 yrs
Median age of visiting nomads (locals excluded)n=204,447 nomads


Where do the highest-earning nomads travel?

Median self-reported yearly income of the visiting nomads who travel to each city (locals excluded). The median is used so a few very large numbers can’t skew it.

๐Ÿ’ฐ Highest-earning visitors

#CityMedian income
1๐Ÿ‡บ๐Ÿ‡ธ Austin$150,000
2๐Ÿ‡จ๐Ÿ‡ฆ Vancouver$125,000
3๐Ÿ‡ฌ๐Ÿ‡ง London$100,000
4๐Ÿ‡บ๐Ÿ‡ธ New York City$100,000
5๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town$100,000
6๐Ÿ‡ฏ๐Ÿ‡ต Tokyo$100,000
7๐Ÿ‡ต๐Ÿ‡น Madeira$100,000
8๐Ÿ‡ฉ๐Ÿ‡ช Munich$100,000
9๐Ÿ‡ณ๐Ÿ‡ฟ Auckland$100,000
10๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana$100,000
11๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City$100,000
12๐Ÿ‡ฆ๐Ÿ‡บ Sydney$100,000
13๐Ÿ‡ง๐Ÿ‡ท Sรฃo Paulo$100,000
14๐Ÿ‡ฉ๐Ÿ‡ฐ Copenhagen$100,000
15๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro$100,000
16๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca$100,000
17๐Ÿ‡บ๐Ÿ‡ธ Boston$100,000
18๐Ÿ‡ฎ๐Ÿ‡ณ Delhi$100,000
19๐Ÿ‡น๐Ÿ‡ผ Taipei$100,000
20๐Ÿ‡จ๐Ÿ‡ฆ Montreal$100,000
21๐Ÿ‡ฒ๐Ÿ‡ฆ Marrakesh$100,000
22๐Ÿ‡ฌ๐Ÿ‡น Antigua$100,000
23๐Ÿ‡บ๐Ÿ‡ธ Las Vegas$100,000
24๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires$100,000
25๐Ÿ‡บ๐Ÿ‡ธ Chicago$100,000
26๐Ÿ‡บ๐Ÿ‡ธ Miami$100,000
27๐Ÿ‡ธ๐Ÿ‡ช Stockholm$100,000
28๐Ÿ‡จ๐Ÿ‡ด Bogota$100,000
29๐Ÿ‡จ๐Ÿ‡ฆ Toronto$100,000
30๐Ÿ‡จ๐Ÿ‡ด Medellรญn$100,000
Median self-reported income of visiting nomadsn=47,847 nomads

๐Ÿช™ Lowest-earning visitors

#CityMedian income
1๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty$70,000
2๐Ÿ‡ต๐Ÿ‡ญ Cebu$70,000
3๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan$70,000
4๐Ÿ‡น๐Ÿ‡ญ Pattaya$75,000
5๐Ÿ‡ป๐Ÿ‡ณ Hoi An$75,000
6๐Ÿ‡น๐Ÿ‡ท Antalya$75,000
7๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan$75,000
8๐Ÿ‡ฒ๐Ÿ‡พ Penang$75,000
9๐Ÿ‡ง๐Ÿ‡ฌ Bansko$75,000
10๐Ÿ‡ฌ๐Ÿ‡ช Batumi$75,000
11๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi$75,000
12๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh$75,000
13๐Ÿ‡ฐ๐Ÿ‡ท Busan$75,000
14๐Ÿ‡ป๐Ÿ‡ณ Da Nang$75,000
15๐Ÿ‡ป๐Ÿ‡ฆ Vatican City$80,000
16๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg$80,000
17๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo$80,000
18๐Ÿ‡ช๐Ÿ‡ธ Tenerife$80,000
19๐Ÿ‡น๐Ÿ‡ญ Ko Lanta$80,000
20๐Ÿ‡น๐Ÿ‡ญ Ko Tao$80,000
21๐Ÿ‡น๐Ÿ‡ญ Phuket$80,000
22๐Ÿ‡ต๐Ÿ‡พ Asuncion$80,000
23๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta$80,000
24๐Ÿ‡ฒ๐Ÿ‡ฐ Skopje$80,000
25๐Ÿ‡ฐ๐Ÿ‡ญ Siem Reap$80,000
26๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka$80,000
27๐Ÿ‡ป๐Ÿ‡ณ Hanoi$80,000
28๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud$80,000
29๐Ÿ‡น๐Ÿ‡ญ Krabi$80,000
30๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu$80,000
Median self-reported income of visiting nomadsn=47,847 nomads


Which cities draw the most international nomads?

Among the nomads who travel to each city, the chance that two random visitors come from different countries — higher means a more internationally mixed crowd of visitors.

๐ŸŒ Most international crowd

#CityNationality mix
1๐Ÿ‡บ๐Ÿ‡ธ Denver96%
2๐Ÿ‡บ๐Ÿ‡ธ San Francisco96%
3๐Ÿ‡บ๐Ÿ‡ธ New York City96%
4๐Ÿ‡บ๐Ÿ‡ธ Houston96%
5๐Ÿ‡บ๐Ÿ‡ธ Boston95%
6๐Ÿ‡บ๐Ÿ‡ธ Washington95%
7๐Ÿ‡บ๐Ÿ‡ธ Los Angeles95%
8๐Ÿ‡บ๐Ÿ‡ธ Las Vegas95%
9๐Ÿ‡ฒ๐Ÿ‡พ Langkawi95%
10๐Ÿ‡บ๐Ÿ‡ธ Miami95%
11๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama95%
12๐Ÿ‡บ๐Ÿ‡ธ Chicago95%
13๐Ÿ‡ฑ๐Ÿ‡ฐ Galle95%
14๐Ÿ‡ฌ๐Ÿ‡ช Kutaisi95%
15๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo95%
16๐Ÿ‡จ๐Ÿ‡ฟ Brno95%
17๐Ÿ‡บ๐Ÿ‡ธ San Diego94%
18๐Ÿ‡ช๐Ÿ‡ธ Tenerife94%
19๐Ÿ‡ฎ๐Ÿ‡ฉ Gili Trawangan94%
20๐Ÿ‡บ๐Ÿ‡ธ Seattle94%
21๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu94%
22๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi94%
23๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar94%
24๐Ÿ‡ง๐Ÿ‡ฌ Varna94%
25๐Ÿ‡น๐Ÿ‡ญ Hua Hin94%
26๐Ÿ‡ฌ๐Ÿ‡ท Rhodes94%
27๐Ÿ‡ฆ๐Ÿ‡ช Dubai94%
28๐Ÿ‡ช๐Ÿ‡ฌ Dahab94%
29๐Ÿ‡บ๐Ÿ‡ธ New Orleans94%
30๐Ÿ‡บ๐Ÿ‡ธ Atlanta94%
How mixed the visiting nomads’ nationalities aren=169,368 nomads

๐Ÿ“ Least international crowd

#CityNationality mix
1๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas40%
2๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende46%
3๐Ÿ‡ต๐Ÿ‡ท San Juan46%
4๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita55%
5๐Ÿ‡ช๐Ÿ‡จ Cuenca56%
6๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Vallarta58%
7๐Ÿ‡ง๐Ÿ‡ธ Nassau63%
8๐Ÿ‡จ๐Ÿ‡ท Tamarindo65%
9๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel66%
10๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara69%
11๐Ÿ‡จ๐Ÿ‡ท Santa Teresa70%
12๐Ÿ‡ฌ๐Ÿ‡น Antigua71%
13๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City72%
14๐Ÿ‡ช๐Ÿ‡จ Quito72%
15๐Ÿ‡ฌ๐Ÿ‡น Guatemala City72%
16๐Ÿ‡ฒ๐Ÿ‡ฝ Merida73%
17๐Ÿ‡จ๐Ÿ‡ด Medellรญn74%
18๐Ÿ‡จ๐Ÿ‡ฆ Vancouver75%
19๐Ÿ‡ณ๐Ÿ‡ฎ San Juan del Sur75%
20๐Ÿ‡ฎ๐Ÿ‡น Amalfi75%
21๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca76%
22๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum76%
23๐Ÿ‡จ๐Ÿ‡ท San Josรฉ76%
24๐Ÿ‡จ๐Ÿ‡ฆ Quebec City76%
25๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik76%
26๐Ÿ‡ต๐Ÿ‡ฆ Bocas del Toro76%
27๐Ÿ‡ธ๐Ÿ‡ป San Salvador77%
28๐Ÿ‡จ๐Ÿ‡ฆ Calgary77%
29๐Ÿ‡ฒ๐Ÿ‡ฝ Puebla77%
30๐Ÿ‡จ๐Ÿ‡ด Cartagena78%
How mixed the visiting nomads’ nationalities aren=169,368 nomads


Where do software developers travel?

Share of the visiting nomads who travel to each city who work as software, web or mobile developers (of those who shared their profession).

๐Ÿ‘จโ€๐Ÿ’ป Most developer-heavy visitors

#CityDevelopers
1๐Ÿ‡ฌ๐Ÿ‡ช Batumi67%
2๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty67%
3๐Ÿ‡จ๐Ÿ‡พ Larnaca63%
4๐Ÿ‡บ๐Ÿ‡ฟ Tashkent63%
5๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek62%
6๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan62%
7๐Ÿ‡ท๐Ÿ‡ด Cluj62%
8๐Ÿ‡ง๐Ÿ‡พ Minsk62%
9๐Ÿ‡ป๐Ÿ‡ณ Da Lat61%
10๐Ÿ‡น๐Ÿ‡ท Antalya61%
11๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw61%
12๐Ÿ‡ซ๐Ÿ‡ท Lyon61%
13๐Ÿ‡ท๐Ÿ‡ธ Novi Sad61%
14๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar61%
15๐Ÿ‡น๐Ÿ‡ผ Kaohsiung60%
16๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru60%
17๐Ÿ‡ฏ๐Ÿ‡ต Osaka60%
18๐Ÿ‡น๐Ÿ‡ญ Pattaya60%
19๐Ÿ‡บ๐Ÿ‡ธ San Francisco60%
20๐Ÿ‡ท๐Ÿ‡บ Moscow60%
21๐Ÿ‡ฏ๐Ÿ‡ต Hiroshima60%
22๐Ÿ‡บ๐Ÿ‡ธ Orlando60%
23๐Ÿ‡ฒ๐Ÿ‡พ Langkawi59%
24๐Ÿ‡ต๐Ÿ‡ฑ Krakรณw59%
25๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka59%
26๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi59%
27๐Ÿ‡ป๐Ÿ‡ณ Phu Quoc59%
28๐Ÿ‡ท๐Ÿ‡ธ Belgrade59%
29๐Ÿ‡ณ๐Ÿ‡ด Oslo58%
30๐Ÿ‡ง๐Ÿ‡ช Antwerp58%
Share of visiting nomads who are developersn=156,907 nomads

๐ŸŒด Fewest developers

#CityDevelopers
1๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas36%
2๐Ÿ‡ช๐Ÿ‡จ Cuenca39%
3๐Ÿ‡ง๐Ÿ‡ท Salvador39%
4๐Ÿ‡ณ๐Ÿ‡ฎ San Juan del Sur40%
5๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum41%
6๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Vallarta42%
7๐Ÿ‡จ๐Ÿ‡ด Santa Marta42%
8๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita42%
9๐Ÿ‡ฌ๐Ÿ‡น Antigua42%
10๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town43%
11๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende43%
12๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo43%
13๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca43%
14๐Ÿ‡ฒ๐Ÿ‡ฝ Merida43%
15๐Ÿ‡ช๐Ÿ‡ธ San Sebastian43%
16๐Ÿ‡จ๐Ÿ‡ท Santa Teresa44%
17๐Ÿ‡ฐ๐Ÿ‡ช Nairobi44%
18๐Ÿ‡ฑ๐Ÿ‡ง Beirut44%
19๐Ÿ‡ต๐Ÿ‡ฆ Bocas del Toro44%
20๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana44%
21๐Ÿ‡ฆ๐Ÿ‡บ Perth44%
22๐Ÿ‡ช๐Ÿ‡จ Quito45%
23๐Ÿ‡จ๐Ÿ‡บ Havana45%
24๐Ÿ‡ฒ๐Ÿ‡ฝ Isla Mujeres45%
25๐Ÿ‡ฆ๐Ÿ‡ท El Calafate45%
26๐Ÿ‡ฌ๐Ÿ‡ท Mykonos45%
27๐Ÿ‡ฒ๐Ÿ‡ฆ Essaouira45%
28๐Ÿ‡ต๐Ÿ‡น Lagos46%
29๐Ÿ‡จ๐Ÿ‡ท Puerto Viejo46%
30๐Ÿ‡ฏ๐Ÿ‡ด Amman46%
Share of visiting nomads who are developersn=156,907 nomads


Where do startup founders travel?

Share of the visiting nomads who travel to each city who are startup founders (of those who shared their profession).

๐Ÿš€ Most founder-heavy visitors

#CityFounders
1๐Ÿ‡ฎ๐Ÿ‡น Lake Como47%
2๐Ÿ‡บ๐Ÿ‡ธ San Francisco47%
3๐Ÿ‡ช๐Ÿ‡ธ Marbella47%
4๐Ÿ‡จ๐Ÿ‡ณ Shenzhen46%
5๐Ÿ‡บ๐Ÿ‡ธ Boston45%
6๐Ÿ‡บ๐Ÿ‡ธ Dallas44%
7๐Ÿ‡บ๐Ÿ‡ธ New Orleans44%
8๐Ÿ‡ด๐Ÿ‡ฒ Muscat42%
9๐Ÿ‡ฆ๐Ÿ‡บ Perth41%
10๐Ÿ‡บ๐Ÿ‡ธ Las Vegas41%
11๐Ÿ‡บ๐Ÿ‡ฆ Kyiv41%
12๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong41%
13๐Ÿ‡จ๐Ÿ‡ณ Guangzhou40%
14๐Ÿ‡บ๐Ÿ‡ธ Los Angeles40%
15๐Ÿ‡ฆ๐Ÿ‡ช Dubai40%
16๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru40%
17๐Ÿ‡ซ๐Ÿ‡ท Cannes40%
18๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar40%
19๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi40%
20๐Ÿ‡บ๐Ÿ‡ธ New York City40%
21๐Ÿ‡จ๐Ÿ‡พ Larnaca40%
22๐Ÿ‡บ๐Ÿ‡ธ Denver39%
23๐Ÿ‡ช๐Ÿ‡ธ Bilbao39%
24๐Ÿ‡ฉ๐Ÿ‡ช Hamburg39%
25๐Ÿ‡บ๐Ÿ‡ธ Chicago39%
26๐Ÿ‡บ๐Ÿ‡ธ Washington39%
27๐Ÿ‡ฒ๐Ÿ‡จ Monaco39%
28๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu39%
29๐Ÿ‡ฎ๐Ÿ‡ณ Goa39%
30๐Ÿ‡ท๐Ÿ‡บ Moscow39%
Share of visiting nomads who are foundersn=156,907 nomads

๐Ÿง‘โ€๐Ÿญ Fewest founders

#CityFounders
1๐Ÿ‡ฆ๐Ÿ‡ท Bariloche23%
2๐Ÿ‡ฆ๐Ÿ‡ท El Calafate25%
3๐Ÿ‡ต๐Ÿ‡ช Arequipa25%
4๐Ÿ‡จ๐Ÿ‡ท Puerto Viejo26%
5๐Ÿ‡ฌ๐Ÿ‡ง Glasgow27%
6๐Ÿ‡ฆ๐Ÿ‡ท Mendoza27%
7๐Ÿ‡ช๐Ÿ‡จ Cuenca27%
8๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara27%
9๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo27%
10๐Ÿ‡ช๐Ÿ‡ธ Granada28%
11๐Ÿ‡ฒ๐Ÿ‡ฝ Merida28%
12๐Ÿ‡ง๐Ÿ‡ฆ Mostar28%
13๐Ÿ‡ฆ๐Ÿ‡ฑ Sarandรซ28%
14๐Ÿ‡ง๐Ÿ‡ฌ Plovdiv28%
15๐Ÿ‡ฒ๐Ÿ‡ฝ San Cristรณbal de las Casas28%
16๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Escondido28%
17๐Ÿ‡ณ๐Ÿ‡ฟ Christchurch28%
18๐Ÿ‡ฐ๐Ÿ‡ท Busan28%
19๐Ÿ‡ต๐Ÿ‡ช Cusco28%
20๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca28%
21๐Ÿ‡ฒ๐Ÿ‡ฝ Puebla28%
22๐Ÿ‡จ๐Ÿ‡ด Santa Marta28%
23๐Ÿ‡ญ๐Ÿ‡ท Zadar28%
24๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana28%
25๐Ÿ‡ฌ๐Ÿ‡ง Liverpool28%
26๐Ÿ‡ฆ๐Ÿ‡ท Cordoba28%
27๐Ÿ‡ช๐Ÿ‡จ Quito29%
28๐Ÿ‡ง๐Ÿ‡ด La Paz29%
29๐Ÿ‡จ๐Ÿ‡ท Santa Teresa29%
30๐Ÿ‡ฎ๐Ÿ‡น Bologna29%
Share of visiting nomads who are foundersn=156,907 nomads


Where do designers travel?

Share of the visiting nomads who travel to each city in UI/UX or creative design roles (of those who shared their profession).

๐ŸŽจ Most designer-heavy visitors

#CityDesigners
1๐Ÿ‡ช๐Ÿ‡ธ San Sebastian39%
2๐Ÿ‡ฌ๐Ÿ‡ง Brighton38%
3๐Ÿ‡ฆ๐Ÿ‡บ Perth37%
4๐Ÿ‡บ๐Ÿ‡ธ Portland36%
5๐Ÿ‡บ๐Ÿ‡ธ Los Angeles35%
6๐Ÿ‡ช๐Ÿ‡ธ Tarifa35%
7๐Ÿ‡จ๐Ÿ‡ณ Shanghai35%
8๐Ÿ‡ฒ๐Ÿ‡ฆ Essaouira35%
9๐Ÿ‡ฆ๐Ÿ‡บ Melbourne34%
10๐Ÿ‡ฒ๐Ÿ‡พ Penang34%
11๐Ÿ‡ซ๐Ÿ‡ท Cannes34%
12๐Ÿ‡ต๐Ÿ‡น Faro34%
13๐Ÿ‡ฒ๐Ÿ‡ฆ Tangier34%
14๐Ÿ‡ช๐Ÿ‡ธ Bilbao34%
15๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum33%
16๐Ÿ‡ง๐Ÿ‡ธ Nassau33%
17๐Ÿ‡น๐Ÿ‡ท Izmir33%
18๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh33%
19๐Ÿ‡ง๐Ÿ‡ช Antwerp33%
20๐Ÿ‡ต๐Ÿ‡ญ Siargao33%
21๐Ÿ‡บ๐Ÿ‡ธ San Francisco33%
22๐Ÿ‡บ๐Ÿ‡ธ New Orleans33%
23๐Ÿ‡จ๐Ÿ‡ณ Beijing33%
24๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo33%
25๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan33%
26๐Ÿ‡ซ๐Ÿ‡ท Montpellier33%
27๐Ÿ‡บ๐Ÿ‡ธ Dallas32%
28๐Ÿ‡ฉ๐Ÿ‡ช Berlin32%
29๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt32%
30๐Ÿ‡ฒ๐Ÿ‡พ Langkawi32%
Share of visiting nomads who are designersn=156,907 nomads

๐Ÿ”ง Fewest designers

#CityDesigners
1๐Ÿ‡ต๐Ÿ‡พ Asuncion19%
2๐Ÿ‡ฆ๐Ÿ‡ท Bariloche21%
3๐Ÿ‡จ๐Ÿ‡พ Limassol22%
4๐Ÿ‡ฆ๐Ÿ‡ท Ushuaia22%
5๐Ÿ‡บ๐Ÿ‡ธ Denver22%
6๐Ÿ‡ช๐Ÿ‡ฌ Luxor23%
7๐Ÿ‡ฆ๐Ÿ‡ท El Calafate23%
8๐Ÿ‡ช๐Ÿ‡ฌ Dahab23%
9๐Ÿ‡ฆ๐Ÿ‡ฉ Andorra la Vella24%
10๐Ÿ‡ฒ๐Ÿ‡ช Podgorica24%
11๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty24%
12๐Ÿ‡ฑ๐Ÿ‡น Vilnius24%
13๐Ÿ‡ฎ๐Ÿ‡น Verona24%
14๐Ÿ‡ง๐Ÿ‡ท Foz do Iguaรงu24%
15๐Ÿ‡ญ๐Ÿ‡ท Zadar24%
16๐Ÿ‡ฌ๐Ÿ‡ท Rhodes24%
17๐Ÿ‡ง๐Ÿ‡พ Minsk24%
18๐Ÿ‡ฎ๐Ÿ‡น Catania24%
19๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg24%
20๐Ÿ‡จ๐Ÿ‡พ Paphos24%
21๐Ÿ‡บ๐Ÿ‡ธ Atlanta24%
22๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek25%
23๐Ÿ‡ฒ๐Ÿ‡ฝ Puebla25%
24๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi25%
25๐Ÿ‡ฆ๐Ÿ‡ฟ Baku25%
26๐Ÿ‡ธ๐Ÿ‡ช Gothenburg25%
27๐Ÿ‡ฐ๐Ÿ‡ท Jeju Island25%
28๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo25%
29๐Ÿ‡ฎ๐Ÿ‡ฉ Sanur25%
30๐Ÿ‡ฎ๐Ÿ‡น Lake Como25%
Share of visiting nomads who are designersn=156,907 nomads


Which cities attract the fittest nomads?

Share of the visiting nomads who travel to each city who lift — gym, strength training and Crossfit (casual running, cycling and yoga are not counted).

๐Ÿ’ช Fittest visiting nomads

#CityGym / strength
1๐Ÿ‡ต๐Ÿ‡น Ericeira56%
2๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu51%
3๐Ÿ‡จ๐Ÿ‡ด Medellรญn51%
4๐Ÿ‡น๐Ÿ‡ญ Ko Samui50%
5๐Ÿ‡บ๐Ÿ‡ธ Atlanta50%
6๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen50%
7๐Ÿ‡จ๐Ÿ‡ท Santa Teresa50%
8๐Ÿ‡ต๐Ÿ‡ญ Siargao50%
9๐Ÿ‡จ๐Ÿ‡ด Cali50%
10๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo49%
11๐Ÿ‡ง๐Ÿ‡ท Florianopolis49%
12๐Ÿ‡น๐Ÿ‡ญ Krabi49%
13๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro49%
14๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan49%
15๐Ÿ‡บ๐Ÿ‡ธ Miami49%
16๐Ÿ‡ต๐Ÿ‡ฆ Panama City49%
17๐Ÿ‡จ๐Ÿ‡ท Tamarindo49%
18๐Ÿ‡ต๐Ÿ‡ท San Juan49%
19๐Ÿ‡ถ๐Ÿ‡ฆ Doha49%
20๐Ÿ‡จ๐Ÿ‡ด Cartagena49%
21๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu48%
22๐Ÿ‡ญ๐Ÿ‡ท Hvar48%
23๐Ÿ‡จ๐Ÿ‡ท Puerto Viejo48%
24๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik48%
25๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura48%
26๐Ÿ‡บ๐Ÿ‡ธ Dallas48%
27๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita48%
28๐Ÿ‡ช๐Ÿ‡ธ Marbella48%
29๐Ÿ‡ช๐Ÿ‡ธ Mallorca48%
30๐Ÿ‡ฆ๐Ÿ‡บ Brisbane48%
Share of visiting nomads into gym & strength trainingn=153,017 nomads

๐Ÿ›‹๏ธ Least gym-going visitors

#CityGym / strength
1๐Ÿ‡ฌ๐Ÿ‡ง Glasgow32%
2๐Ÿ‡ณ๐Ÿ‡ฑ The Hague33%
3๐Ÿ‡น๐Ÿ‡ท Izmir33%
4๐Ÿ‡ง๐Ÿ‡ฌ Plovdiv34%
5๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende34%
6๐Ÿ‡ฎ๐Ÿ‡ฉ Yogyakarta35%
7๐Ÿ‡ณ๐Ÿ‡ด Bergen35%
8๐Ÿ‡ฌ๐Ÿ‡ง Belfast35%
9๐Ÿ‡ฎ๐Ÿ‡ณ Jaipur35%
10๐Ÿ‡ฆ๐Ÿ‡ท Ushuaia35%
11๐Ÿ‡ง๐Ÿ‡พ Minsk35%
12๐Ÿ‡บ๐Ÿ‡ฟ Tashkent35%
13๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo35%
14๐Ÿ‡ท๐Ÿ‡ธ Novi Sad36%
15๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty36%
16๐Ÿ‡ต๐Ÿ‡ช Arequipa36%
17๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan36%
18๐Ÿ‡ฌ๐Ÿ‡ง Edinburgh36%
19๐Ÿ‡ฒ๐Ÿ‡ฝ San Cristรณbal de las Casas36%
20๐Ÿ‡น๐Ÿ‡ญ Chiang Rai37%
21๐Ÿ‡ซ๐Ÿ‡ท Lyon37%
22๐Ÿ‡จ๐Ÿ‡ฑ San Pedro de Atacama37%
23๐Ÿ‡ฆ๐Ÿ‡ท Cordoba37%
24๐Ÿ‡จ๐Ÿ‡ณ Chengdu37%
25๐Ÿ‡ง๐Ÿ‡ฆ Mostar37%
26๐Ÿ‡ฒ๐Ÿ‡ฆ Fes37%
27๐Ÿ‡ฉ๐Ÿ‡ช Dusseldorf37%
28๐Ÿ‡ฌ๐Ÿ‡ฎ Gibraltar38%
29๐Ÿ‡ฒ๐Ÿ‡ฉ Chisinau38%
30๐Ÿ‡บ๐Ÿ‡ธ Portland38%
Share of visiting nomads into gym & strength trainingn=153,017 nomads


Where do the biggest drinkers travel?

Share of the visiting nomads who travel to each city who list beer, wine, cocktails or drinking among their likes (of those who shared any lifestyle likes).

๐Ÿบ Biggest drinkers

#CityDrinks
1๐Ÿ‡ฆ๐Ÿ‡ท Mendoza70%
2๐Ÿ‡จ๐Ÿ‡บ Havana65%
3๐Ÿ‡จ๐Ÿ‡ด Santa Marta65%
4๐Ÿ‡ฌ๐Ÿ‡ง Manchester64%
5๐Ÿ‡ป๐Ÿ‡ณ Hue64%
6๐Ÿ‡บ๐Ÿ‡พ Montevideo64%
7๐Ÿ‡ฆ๐Ÿ‡ท Cordoba64%
8๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik64%
9๐Ÿ‡ฎ๐Ÿ‡น Florence64%
10๐Ÿ‡ฎ๐Ÿ‡ช Dublin64%
11๐Ÿ‡ฒ๐Ÿ‡ฝ Isla Mujeres63%
12๐Ÿ‡ฆ๐Ÿ‡ท Bariloche63%
13๐Ÿ‡ญ๐Ÿ‡ท Split63%
14๐Ÿ‡ต๐Ÿ‡ญ Boracay63%
15๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik63%
16๐Ÿ‡ฏ๐Ÿ‡ต Sapporo63%
17๐Ÿ‡ฒ๐Ÿ‡ฝ Cancun63%
18๐Ÿ‡ช๐Ÿ‡จ Quito63%
19๐Ÿ‡ช๐Ÿ‡ธ Seville63%
20๐Ÿ‡ฌ๐Ÿ‡น Antigua63%
21๐Ÿ‡น๐Ÿ‡ญ Ko Lanta63%
22๐Ÿ‡ญ๐Ÿ‡ท Zadar63%
23๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown63%
24๐Ÿ‡จ๐Ÿ‡ด Cartagena63%
25๐Ÿ‡ต๐Ÿ‡ท San Juan63%
26๐Ÿ‡ง๐Ÿ‡ธ Nassau63%
27๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara63%
28๐Ÿ‡ฌ๐Ÿ‡ท Santorini63%
29๐Ÿ‡ป๐Ÿ‡ฆ Vatican City62%
30๐Ÿ‡บ๐Ÿ‡ธ New Orleans62%
Share of visiting nomads who like alcoholn=153,017 nomads

๐Ÿšฑ Most sober visitors

#CityDrinks
1๐Ÿ‡จ๐Ÿ‡ณ Shenzhen49%
2๐Ÿ‡น๐Ÿ‡ณ Tunis49%
3๐Ÿ‡ณ๐Ÿ‡ฑ Utrecht49%
4๐Ÿ‡ฎ๐Ÿ‡น Lake Como49%
5๐Ÿ‡ต๐Ÿ‡น Portimรฃo49%
6๐Ÿ‡จ๐Ÿ‡ณ Guangzhou50%
7๐Ÿ‡ฉ๐Ÿ‡ช Stuttgart50%
8๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta51%
9๐Ÿ‡ฎ๐Ÿ‡ฉ Sanur51%
10๐Ÿ‡ท๐Ÿ‡บ Moscow51%
11๐Ÿ‡ธ๐Ÿ‡ป San Salvador51%
12๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru51%
13๐Ÿ‡ฒ๐Ÿ‡ฉ Chisinau51%
14๐Ÿ‡บ๐Ÿ‡ธ Honolulu51%
15๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud52%
16๐Ÿ‡น๐Ÿ‡ญ Hua Hin52%
17๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi52%
18๐Ÿ‡ง๐Ÿ‡พ Minsk52%
19๐Ÿ‡ด๐Ÿ‡ฒ Muscat52%
20๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu52%
21๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek52%
22๐Ÿ‡จ๐Ÿ‡ญ Geneva52%
23๐Ÿ‡ท๐Ÿ‡ด Timisoara52%
24๐Ÿ‡ฐ๐Ÿ‡ท Seoul52%
25๐Ÿ‡บ๐Ÿ‡ธ Portland53%
26๐Ÿ‡ฒ๐Ÿ‡ช Podgorica53%
27๐Ÿ‡ป๐Ÿ‡ณ Da Nang53%
28๐Ÿ‡ต๐Ÿ‡ญ Manila53%
29๐Ÿ‡ฆ๐Ÿ‡ช Dubai53%
30๐Ÿ‡จ๐Ÿ‡ณ Shanghai53%
Share of visiting nomads who like alcoholn=153,017 nomads


Where do the biggest partiers travel?

Share of the visiting nomads who travel to each city who list partying among their likes (of those who shared any lifestyle likes).

๐ŸŽ‰ Biggest partiers

#CityParties
1๐Ÿ‡ช๐Ÿ‡ธ Ibiza29%
2๐Ÿ‡ฌ๐Ÿ‡ท Mykonos25%
3๐Ÿ‡ญ๐Ÿ‡ท Hvar24%
4๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro22%
5๐Ÿ‡จ๐Ÿ‡ด Santa Marta21%
6๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi21%
7๐Ÿ‡จ๐Ÿ‡บ Havana21%
8๐Ÿ‡จ๐Ÿ‡ด Cartagena21%
9๐Ÿ‡ญ๐Ÿ‡ท Split21%
10๐Ÿ‡ฌ๐Ÿ‡น Guatemala City21%
11๐Ÿ‡ฎ๐Ÿ‡ณ Goa21%
12๐Ÿ‡น๐Ÿ‡ญ Pattaya21%
13๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan21%
14๐Ÿ‡ฒ๐Ÿ‡ฆ Tangier21%
15๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum20%
16๐Ÿ‡น๐Ÿ‡ญ Ko Tao20%
17๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai20%
18๐Ÿ‡จ๐Ÿ‡ด Bogota20%
19๐Ÿ‡ง๐Ÿ‡ท Salvador20%
20๐Ÿ‡ฎ๐Ÿ‡ฉ Gili Air20%
21๐Ÿ‡ฒ๐Ÿ‡ฆ Fes20%
22๐Ÿ‡ฒ๐Ÿ‡จ Monaco20%
23๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo20%
24๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen20%
25๐Ÿ‡จ๐Ÿ‡ฆ Montreal20%
26๐Ÿ‡จ๐Ÿ‡ด Medellรญn20%
27๐Ÿ‡ฎ๐Ÿ‡ฉ Seminyak20%
28๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas20%
29๐Ÿ‡ต๐Ÿ‡ฆ Panama City20%
30๐Ÿ‡ณ๐Ÿ‡ฎ San Juan del Sur20%
Share of visiting nomads who like partyingn=153,017 nomads

๐Ÿ˜ด Quietest visitors

#CityParties
1๐Ÿ‡ธ๐Ÿ‡ช Malmรถ10%
2๐Ÿ‡ฎ๐Ÿ‡ฉ Sanur10%
3๐Ÿ‡ฉ๐Ÿ‡ช Hamburg10%
4๐Ÿ‡ท๐Ÿ‡ธ Novi Sad11%
5๐Ÿ‡จ๐Ÿ‡ณ Chengdu11%
6๐Ÿ‡ฎ๐Ÿ‡น Lake Como11%
7๐Ÿ‡ง๐Ÿ‡ช Antwerp12%
8๐Ÿ‡ฎ๐Ÿ‡น Verona12%
9๐Ÿ‡ฒ๐Ÿ‡ฆ Essaouira12%
10๐Ÿ‡บ๐Ÿ‡ธ Dallas12%
11๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan12%
12๐Ÿ‡ง๐Ÿ‡พ Minsk13%
13๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama13%
14๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek13%
15๐Ÿ‡ธ๐Ÿ‡ช Gothenburg13%
16๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende13%
17๐Ÿ‡บ๐Ÿ‡ฟ Tashkent13%
18๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw13%
19๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi13%
20๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru13%
21๐Ÿ‡ต๐Ÿ‡พ Asuncion13%
22๐Ÿ‡ต๐Ÿ‡ญ Siargao13%
23๐Ÿ‡ฌ๐Ÿ‡ท Rhodes13%
24๐Ÿ‡ด๐Ÿ‡ฒ Muscat13%
25๐Ÿ‡ซ๐Ÿ‡ท Strasbourg13%
26๐Ÿ‡ฎ๐Ÿ‡น Pisa13%
27๐Ÿ‡น๐Ÿ‡ญ Chiang Rai13%
28๐Ÿ‡ง๐Ÿ‡ฌ Plovdiv13%
29๐Ÿ‡จ๐Ÿ‡ญ Geneva13%
30๐Ÿ‡บ๐Ÿ‡ธ Denver13%
Share of visiting nomads who like partyingn=153,017 nomads


Where do single nomads travel?

Share of the visiting nomads who travel to each city who say they’re single (of those who shared their relationship status).

๐Ÿ’˜ Most single visitors

#CitySingle
1๐Ÿ‡จ๐Ÿ‡ด Medellรญn79%
2๐Ÿ‡ต๐Ÿ‡ญ Cebu76%
3๐Ÿ‡ช๐Ÿ‡จ Quito75%
4๐Ÿ‡จ๐Ÿ‡ด Cartagena74%
5๐Ÿ‡ฐ๐Ÿ‡ช Nairobi74%
6๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Escondido74%
7๐Ÿ‡ฌ๐Ÿ‡น Antigua74%
8๐Ÿ‡ง๐Ÿ‡ท Florianopolis74%
9๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro74%
10๐Ÿ‡ช๐Ÿ‡ฌ Cairo73%
11๐Ÿ‡ต๐Ÿ‡ญ Manila73%
12๐Ÿ‡ช๐Ÿ‡ธ Ibiza73%
13๐Ÿ‡จ๐Ÿ‡ท San Josรฉ73%
14๐Ÿ‡ต๐Ÿ‡พ Asuncion73%
15๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires73%
16๐Ÿ‡ต๐Ÿ‡ช Lima73%
17๐Ÿ‡ง๐Ÿ‡ฌ Bansko73%
18๐Ÿ‡ต๐Ÿ‡ฆ Panama City72%
19๐Ÿ‡ญ๐Ÿ‡ท Zagreb72%
20๐Ÿ‡ต๐Ÿ‡ช Cusco72%
21๐Ÿ‡ง๐Ÿ‡ท Sรฃo Paulo72%
22๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City72%
23๐Ÿ‡จ๐Ÿ‡ด Bogota72%
24๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu72%
25๐Ÿ‡น๐Ÿ‡ผ Taipei72%
26๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen72%
27๐Ÿ‡ช๐Ÿ‡ธ Gran Canaria72%
28๐Ÿ‡ฆ๐Ÿ‡ฑ Tirana71%
29๐Ÿ‡จ๐Ÿ‡ณ Guangzhou71%
30๐Ÿ‡ช๐Ÿ‡ธ Valencia71%
Share of visiting nomads who are singlen=72,309 nomads

๐Ÿ’ Most coupled-up visitors

#CitySingle
1๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi57%
2๐Ÿ‡ป๐Ÿ‡ฆ Vatican City59%
3๐Ÿ‡ฆ๐Ÿ‡น Salzburg60%
4๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt60%
5๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo60%
6๐Ÿ‡ฒ๐Ÿ‡พ Penang60%
7๐Ÿ‡จ๐Ÿ‡พ Larnaca60%
8๐Ÿ‡บ๐Ÿ‡ธ Seattle61%
9๐Ÿ‡น๐Ÿ‡ญ Ko Lanta61%
10๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi62%
11๐Ÿ‡ง๐Ÿ‡ช Bruges62%
12๐Ÿ‡ท๐Ÿ‡บ Moscow62%
13๐Ÿ‡น๐Ÿ‡ท Antalya62%
14๐Ÿ‡น๐Ÿ‡ญ Krabi62%
15๐Ÿ‡บ๐Ÿ‡ธ Austin62%
16๐Ÿ‡จ๐Ÿ‡บ Havana62%
17๐Ÿ‡ณ๐Ÿ‡ด Oslo62%
18๐Ÿ‡ฒ๐Ÿ‡น Sliema62%
19๐Ÿ‡บ๐Ÿ‡ธ Las Vegas63%
20๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg63%
21๐Ÿ‡บ๐Ÿ‡ธ San Francisco63%
22๐Ÿ‡ถ๐Ÿ‡ฆ Doha63%
23๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong63%
24๐Ÿ‡ซ๐Ÿ‡ท Paris63%
25๐Ÿ‡ฉ๐Ÿ‡ฐ Copenhagen63%
26๐Ÿ‡บ๐Ÿ‡ธ Los Angeles63%
27๐Ÿ‡ฉ๐Ÿ‡ช Hamburg64%
28๐Ÿ‡บ๐Ÿ‡ธ San Diego64%
29๐Ÿ‡จ๐Ÿ‡ฆ Vancouver64%
30๐Ÿ‡ฎ๐Ÿ‡น Venice64%
Share of visiting nomads who are singlen=72,309 nomads


The overall mix: attractive, rich & educated

A blended 0-100 score of the visiting nomads to each city, combining how attractive they’re rated, their median income, and how many hold a graduate degree. Each city is percentile-ranked against the others on all three, then averaged with equal weight.

๐Ÿ† Most attractive, rich & educated

#CityScore
1๐Ÿ‡บ๐Ÿ‡ธ Boston87%
2๐Ÿ‡จ๐Ÿ‡ญ Zurich84%
3๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town79%
4๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik74%
5๐Ÿ‡จ๐Ÿ‡ญ Geneva74%
6๐Ÿ‡ง๐Ÿ‡ท Florianopolis72%
7๐Ÿ‡ธ๐Ÿ‡ช Stockholm72%
8๐Ÿ‡ฎ๐Ÿ‡ฑ Tel Aviv71%
9๐Ÿ‡ต๐Ÿ‡น Madeira71%
10๐Ÿ‡ง๐Ÿ‡ท Sรฃo Paulo71%
11๐Ÿ‡บ๐Ÿ‡ธ New York City70%
12๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum70%
13๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro70%
14๐Ÿ‡ฉ๐Ÿ‡ช Munich69%
15๐Ÿ‡ณ๐Ÿ‡ด Oslo67%
16๐Ÿ‡ช๐Ÿ‡ธ Ibiza67%
17๐Ÿ‡ฉ๐Ÿ‡ฐ Copenhagen66%
18๐Ÿ‡ฒ๐Ÿ‡ฆ Marrakesh66%
19๐Ÿ‡บ๐Ÿ‡ธ Chicago64%
20๐Ÿ‡จ๐Ÿ‡ฆ Montreal64%
21๐Ÿ‡ฆ๐Ÿ‡บ Sydney64%
22๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt63%
23๐Ÿ‡ช๐Ÿ‡ธ Mallorca63%
24๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana62%
25๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Escondido61%
26๐Ÿ‡บ๐Ÿ‡ธ San Diego61%
27๐Ÿ‡บ๐Ÿ‡ธ Austin60%
28๐Ÿ‡ฎ๐Ÿ‡น Palermo60%
29๐Ÿ‡บ๐Ÿ‡ธ San Francisco60%
30๐Ÿ‡ฎ๐Ÿ‡น Naples60%
Blend of attractiveness, income & education of visiting nomadsn=47,847 nomads

๐Ÿ–๏ธ Least attractive, lowest income & least educated

#CityScore
1๐Ÿ‡น๐Ÿ‡ญ Pattaya1%
2๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo6%
3๐Ÿ‡ป๐Ÿ‡ณ Da Nang7%
4๐Ÿ‡ต๐Ÿ‡ญ Cebu11%
5๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta13%
6๐Ÿ‡น๐Ÿ‡ญ Phuket13%
7๐Ÿ‡ป๐Ÿ‡ณ Ho Chi Minh City13%
8๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur14%
9๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh14%
10๐Ÿ‡ต๐Ÿ‡ญ Manila15%
11๐Ÿ‡ป๐Ÿ‡ณ Hanoi15%
12๐Ÿ‡ฆ๐Ÿ‡ฑ Tirana15%
13๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka18%
14๐Ÿ‡ฎ๐Ÿ‡ฉ Seminyak22%
15๐Ÿ‡น๐Ÿ‡ญ Krabi22%
16๐Ÿ‡ฏ๐Ÿ‡ต Osaka22%
17๐Ÿ‡บ๐Ÿ‡พ Montevideo23%
18๐Ÿ‡น๐Ÿ‡ญ Bangkok24%
19๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty25%
20๐Ÿ‡ฒ๐Ÿ‡พ Penang25%
21๐Ÿ‡ต๐Ÿ‡พ Asuncion26%
22๐Ÿ‡ฐ๐Ÿ‡ญ Siem Reap26%
23๐Ÿ‡น๐Ÿ‡ผ Taipei26%
24๐Ÿ‡ฐ๐Ÿ‡ท Busan27%
25๐Ÿ‡ฐ๐Ÿ‡ท Seoul29%
26๐Ÿ‡ต๐Ÿ‡ฆ Panama City29%
27๐Ÿ‡ป๐Ÿ‡ณ Hoi An30%
28๐Ÿ‡ท๐Ÿ‡ธ Belgrade31%
29๐Ÿ‡ช๐Ÿ‡จ Quito31%
30๐Ÿ‡ญ๐Ÿ‡บ Budapest32%
Blend of attractiveness, income & education of visiting nomadsn=47,847 nomads


Most and least spammy countries

Share of members from each signup country ever warned by our moderators or by Nomad Bot, for things like self promotion, job posts or spam. Human mods issued most warnings from 2019 to 2023, Nomad Bot took over in 2024. Only countries with at least 100 members are ranked.

๐Ÿ‘บ Most spammy countries

# Country Warned
1 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 24.9%
2 ๐Ÿ‡ฑ๐Ÿ‡น Lithuania 20.1%
3 ๐Ÿ‡จ๐Ÿ‡ด Colombia 19.4%
4 ๐Ÿ‡ฎ๐Ÿ‡น Italy 19.1%
5 ๐Ÿ‡ช๐Ÿ‡ธ Spain 18.8%
6 ๐Ÿ‡ง๐Ÿ‡ช Belgium 18.5%
7 ๐Ÿ‡ง๐Ÿ‡ท Brazil 17.8%
8 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine 17.8%
9 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 17.6%
10 ๐Ÿ‡ช๐Ÿ‡ช Estonia 17.4%
Share of members by country warned for spamming chatn=41,925 members

๐Ÿ˜‡ Least spammy countries

# Country Warned
1 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong 5.4%
2 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 8%
3 ๐Ÿ‡ณ๐Ÿ‡ด Norway 8.2%
4 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates 8.3%
5 ๐Ÿ‡บ๐Ÿ‡ธ United States 9.2%
6 ๐Ÿ‡น๐Ÿ‡ญ Thailand 9.2%
7 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 9.4%
8 ๐Ÿ‡ฐ๐Ÿ‡ฟ Kazakhstan 11%
9 ๐Ÿ‡ท๐Ÿ‡บ Russia 11.2%
10 ๐Ÿ‡ง๐Ÿ‡ฌ Bulgaria 11.3%
Share of members by country warned for spamming chatn=41,925 members


>

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