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The 2026 State of Digital Nomads

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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=43,011


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: 8 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
2%
28
2%
29
2%
30
2%
31
3%
32
5%
33
7%
34
7%
35
5%
36
5%
37
8%
38
6%
39
5%
40
5%
41
4%
42
4%
43
3%
44
3%
active last 365d, n=991

โ›ณ๏ธ Nomads by nationality

# Country People %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 55,997,991 42%
2 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 9,091,518 7%
3 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 6,092,996 5%
4 ๐Ÿ‡ท๐Ÿ‡บ Russia 5,857,912 4%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 5,546,066 4%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 4,634,515 4%
7 ๐Ÿ‡ง๐Ÿ‡ท Brazil 3,555,047 3%
8 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 3,113,665 2%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 2,451,591 2%
10 ๐Ÿ‡ช๐Ÿ‡ธ Spain 2,437,198 2%
11 ๐Ÿ‡ฎ๐Ÿ‡ณ India 2,283,674 2%
12 ๐Ÿ‡ฎ๐Ÿ‡น Italy 1,928,649 1%
13 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine 1,919,054 1%
14 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1,592,815 1%
15 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 1,357,731 1%
16 ๐Ÿ‡ฆ๐Ÿ‡น Austria 1,017,099 1%
17 ๐Ÿ‡น๐Ÿ‡ท Turkey 993,110 1%
18 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 954,729 1%
19 ๐Ÿ‡ธ๐Ÿ‡ช Sweden 935,539 1%
20 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland 921,146 1%
21 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel 825,193 1%
22 ๐Ÿ‡ง๐Ÿ‡ช Belgium 815,598 1%
23 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 767,622 1%
24 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 758,026 1%
25 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 714,848 1%
26 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 710,050 1%
27 ๐Ÿ‡ต๐Ÿ‡น Portugal 700,455 1%
28 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 700,455 1%
29 ๐Ÿ‡ท๐Ÿ‡ด Romania 666,871 1%
30 ๐Ÿ‡จ๐Ÿ‡ณ China 633,288 0%
n=27,590

๐Ÿ‘ถ Nomads by gender

Gender %
๐Ÿ‘จโ€ Men
65%
๐Ÿ‘ฑโ€โ™€๏ธ Women
35%
๐Ÿง‘ Other
0%
active last 365d, n=11,542

๐Ÿ‘€ Nomads by sexuality

Sexuality %
๐Ÿ‘‹ Heterosexual
87%
๐Ÿฆ„ Bisexual
8%
๐Ÿณ๏ธโ€๐ŸŒˆ Gay or lesbian
5%
n=17,239

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=9,051

โœ‹ Nomads by ethnicity

Ethnicity %
โœ‹๐Ÿป White
59%
โœ‹๐Ÿพ Non-white
41%
โ†ฑโœ‹๐Ÿผ Asian
14%
โ†ฑโœ‹๐Ÿฝ Latin
12%
โ†ฑโœ‹๐Ÿฟ Black
7%
โ†ฑโœ‹๐Ÿฝ Indian
5%
โ†ฑโœ‹๐Ÿพ Middle Eastern
3%
โ†ฑโœ‹๐Ÿฝ Pacific
1%
n=8,202

๐ŸŽ“ Education

Education %
๐ŸšŒ High School
10%
๐ŸŽ“ Higher education
90%
โ†ฑ๐Ÿ“œ Bachelor's
53%
โ†ฑ๐ŸŽ“ Master's
34%
โ†ฑ๐Ÿ‘ฉโ€๐Ÿซ PhD
3%
n=18,868

โค๏ธ Nomads by relationship

Relationship %
๐Ÿ˜Ž Single
68%
๐Ÿ˜ In a relationship
32%
n=10,702

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=63,526

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 $124,737 / y
Median $85,000 / y
n=5,651

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=7,231


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=6,033

๐Ÿ’ฌ What messaging apps nomads use?

Messaging app %
Telegram
50%
Whatsapp
44%
Snapchat
3%
Facebook
2%
WeChat
0%
LINE
0%
Slack
0%
n=5,950


โš–๏ธ Nomad men by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
45%
โš–๏ธ Non-progressive
55%
โ†ฑ๐Ÿ—ฝ Libertarian
27%
โ†ฑโš–๏ธ Centrist
21%
โ†ฑ๐Ÿ‘ด Conservative
7%
n=3,732

โš–๏ธ Nomad women by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
71%
โš–๏ธ Non-progressive
29%
โ†ฑ๐Ÿ—ฝ Libertarian
13%
โ†ฑโš–๏ธ Centrist
12%
โ†ฑ๐Ÿ‘ด Conservative
3%
n=919


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=8,167


๐Ÿ• Nomad men by diet

Diet %
๐Ÿฅฉ Eats meat
77%
๐Ÿšซ Does not eat meat
23%
โ†ฑ๐Ÿฅ‘ Vegan
10%
โ†ฑ๐Ÿฅ’ Vegetarian
10%
โ†ฑ๐ŸŸ Pescetarian
4%
n=5,854

๐Ÿ• Nomad women by diet

Diet %
๐Ÿฅฉ Eats meat
58%
๐Ÿšซ Does not eat meat
42%
โ†ฑ๐Ÿฅ’ Vegetarian
18%
โ†ฑ๐Ÿฅ‘ Vegan
14%
โ†ฑ๐ŸŸ Pescetarian
10%
n=1,329


How do nomads work out?

๐Ÿฅพ Hiking

๐Ÿ’ช Fitness

๐Ÿƒ Running

๐Ÿคธโ€โ™€๏ธ Yoga

๐ŸŠ Swimming

๐Ÿšด Cycling

n=16,132


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%
๐Ÿ‚ Snowboarding
15%
โ›ฐ Climbing
15%
โ›ท Skiing
15%
๐ŸŽพ Tennis
14%
๐Ÿ Motorcycling
13%
๐Ÿ’ช Fight sports
11%
๐Ÿ“ Table tennis
9%
n=11,341

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=2,825


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=424,490


๐Ÿ˜ Most liked cities by men

# City Rating
1 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 4.50
2 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 4.38
3 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 4.38
4 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 4.29
5 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 4.29
6 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 4.29
7 ๐Ÿ‡ต๐Ÿ‡ฑ Krakรณw 4.17
8 ๐Ÿ‡ฏ๐Ÿ‡ต Osaka 4.17
9 ๐Ÿ‡ฌ๐Ÿ‡น Antigua 4.17
10 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 4.17
11 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 4.17
12 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam 4.17
13 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 4.12
14 ๐Ÿ‡บ๐Ÿ‡ธ New York City 4.00
15 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud 4.00
n=6,789

๐Ÿ˜ Most liked cities by women

# City Rating
1 ๐Ÿ‡จ๐Ÿ‡ด Medellรญn 3.75
2 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 3.33
n=6,789


๐ŸŒ† Most visited cities

# City % visited
1 ๐Ÿ‡น๐Ÿ‡ญ Bangkok 2.22%
2 ๐Ÿ‡ฌ๐Ÿ‡ง London 2.19%
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‡ต๐Ÿ‡น Lisbon 1.44%
7 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin 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 0.89%
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 0.7%
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=424,490

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‡ฌ๐Ÿ‡ง United Kingdom 4%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 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‡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‡ท Croatia 1%
n=424,490

๐Ÿƒ Avg. COโ‚‚ by member traveling

Year COโ‚‚
2013
676 kg/y
2014
985 kg/y
2015
1,076 kg/y
2016
1,287 kg/y
2017
1,466 kg/y
2018
1,543 kg/y
2019
1,578 kg/y
2020
993 kg/y
2021
1,002 kg/y
2022
1,573 kg/y
2023
1,732 kg/y
2024
1,698 kg/y
2025
1,611 kg/y
2026
1,758 kg/y
Average 1,310 kg/y
Median 1,376 kg/y
Based on 424,490 trips by 16,134 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 -11%
4 ๐Ÿ‡ฌ๐Ÿ‡ง London -22%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris -21%
6 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai -4%
7 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam +4%
8 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin -4%
9 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu -1%
10 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo +14%
11 ๐Ÿ‡น๐Ÿ‡ท Istanbul +8%
12 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore +14%
13 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur +26%
14 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City -20%
15 ๐Ÿ‡ญ๐Ÿ‡บ Budapest +19%
median temp=18ยฐC; n=424,490

๐Ÿ‘ฑโ€โ™€๏ธ Where women go most

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‡ต๐Ÿ‡น Lisbon +19%
2 ๐Ÿ‡ฌ๐Ÿ‡ง London +28%
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‡ฉ๐Ÿ‡ช Berlin +4%
8 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City +24%
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 +30%
14 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo -12%
15 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires +8%
median temp=18ยฐC; n=424,490


๐Ÿ‘จ Where men go more

# Tag vs. women
1 ๐Ÿ‡ท๐Ÿ‡บ Russia +82%
2 ๐Ÿ‡ต๐Ÿ‡ฑ Poland +66%
3 ๐Ÿ‡ท๐Ÿ‡ด Romania +53%
4 ๐Ÿ‡ฌ๐Ÿ‡ช Georgia +45%
5 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong +32%
6 ๐Ÿ‡ต๐Ÿ‡ญ Philippines +32%
7 ๐Ÿ‡ท๐Ÿ‡ธ Serbia +26%
8 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates +25%
9 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia +25%
10 ๐Ÿ‡จ๐Ÿ‡ณ China +24%
11 ๐Ÿ‡ฏ๐Ÿ‡ต Japan +22%
12 ๐Ÿ‡ณ๐Ÿ‡ด Norway +21%
13 ๐Ÿ‡ป๐Ÿ‡ณ Vietnam +19%
14 ๐Ÿ‡ญ๐Ÿ‡บ Hungary +19%
15 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia +17%
median temp=13ยฐC; n=424,490

๐Ÿ‘ฑโ€โ™€๏ธ Where women go more

# Tag vs. men
1 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa +50%
2 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica +47%
3 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico +36%
4 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom +30%
5 ๐Ÿ‡ญ๐Ÿ‡ท Croatia +24%
6 ๐Ÿ‡จ๐Ÿ‡ฑ Chile +24%
7 ๐Ÿ‡ซ๐Ÿ‡ท France +21%
8 ๐Ÿ‡ฎ๐Ÿ‡น Italy +18%
9 ๐Ÿ‡ฌ๐Ÿ‡ท Greece +13%
10 ๐Ÿ‡ต๐Ÿ‡น Portugal +13%
11 ๐Ÿ‡ฆ๐Ÿ‡บ Australia +12%
12 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland +9%
13 ๐Ÿ‡ต๐Ÿ‡ช Peru +8%
14 ๐Ÿ‡ช๐Ÿ‡ธ Spain +7%
15 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina +7%
median temp=18ยฐC; n=424,490


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 4.45
7 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 4.4
8 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 4.4
9 ๐Ÿ‡ฌ๐Ÿ‡น Guatemala 4.3
10 ๐Ÿ‡ฐ๐Ÿ‡ฟ Kazakhstan 4.3
11 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 4.25
12 ๐Ÿ‡ช๐Ÿ‡ช Estonia 4.25
13 ๐Ÿ‡ฑ๐Ÿ‡น Lithuania 4.25
14 ๐Ÿ‡ท๐Ÿ‡บ Russia 4.25
15 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 4.2
n=4,023

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ด Kurdistan 2.5
n=4,023


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 62 days (2 months)
Median 7 days
n=413,798

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 132 days (4 months)
n=413,798





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=29,740


๐Ÿ‘จ Nomad men work as

# Work % vs. women
1 ๐Ÿ’ป Software Dev 33% +322%
2 ๐Ÿ“‡ Startup Founder 26% +174%
3 ๐Ÿ•ธ Web Dev 26% +349%
4 ๐Ÿ˜ Marketing 15% +21%
5 ๐Ÿ“Š SaaS 13% +257%
6 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 12% +2%
7 ๐ŸŽจ UI/UX Design 11% +72%
8 ๐Ÿค  Product Manager 10% +112%
9 ๐Ÿ“ฑ Mobile Dev 10% +440%
10 ๐Ÿ’ฐ Crypto 10% +352%
11 ๐Ÿ“ˆ Data 10% +142%
12 ๐Ÿ’ฐ Finance 9% +173%
13 ๐Ÿ›’ Ecommerce 8% +149%
14 ๐Ÿค‘ Sales 7% +117%
15 ๐Ÿ‘จโ€๐Ÿซ Education 6% +4%
n=23,262

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women work as

# Work % vs. men
1 ๐Ÿ˜ Marketing 12% -17%
2 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 11% -2%
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% -4%
9 ๐Ÿ“ Blogging 5% -1%
10 ๐Ÿ‘Š Coach 5% +1%
11 ๐Ÿค  Product Manager 5% -53%
12 ๐Ÿ“ˆ Data 4% -59%
13 ๐Ÿ“Š SaaS 4% -72%
14 ๐Ÿ’ฐ Finance 3% -63%
15 ๐Ÿค‘ Sales 3% -54%
n=8,957


๐Ÿ‘จ Nomad men vs. women

# Tag vs. women
1 ๐Ÿ“ก Sysadmin +473%
2 ๐Ÿ“ฑ Mobile Dev +440%
3 ๐Ÿ—ƒ Dev Ops +439%
4 ๐Ÿ‘พ Game Dev +388%
5 ๐Ÿ’ฐ Crypto +352%
6 ๐Ÿ•ธ Web Dev +349%
7 ๐Ÿ’ป Software Dev +322%
8 ๐Ÿ“Š SaaS +257%
9 ๐Ÿ˜Ž VR Dev +240%
10 ๐Ÿ“ˆ Investor +208%
11 ๐Ÿช– Military +208%
12 ๐Ÿ›ก๏ธ InfoSec +199%
13 ๐Ÿ“‡ Startup Founder +174%
14 ๐Ÿ’ฐ Finance +173%
15 ๐Ÿ—บ Geo +170%
n=29,740

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. men
1 ๐Ÿ‘ธ House wife +290%
2 ๐Ÿ‘— Tradwife +160%
3 ๐Ÿฅ Healthcare +56%
4 ๐ŸŽ“ Student +56%
5 ๐Ÿง‘โ€๐Ÿ’ผ Human resources +50%
6 ๐Ÿณ Chef +44%
7 ๐ŸŒพ Farm life +42%
8 ๐Ÿ“น Content Creator +36%
9 ๐Ÿ‘จ Stay-at-home dad +30%
10 ๐Ÿ“ฐ Journalism +27%
11 ๐Ÿง  Psychologist +26%
12 ๐ŸŽจ Artist +23%
13 ๐Ÿ™‚ Support +18%
14 ๐Ÿ‘จโ€โš•๏ธ Medical +7%
15 ๐Ÿ‘‹ Hospitality +6%
n=29,740


How do nomads describe themselves?

โ˜•๏ธ Coffee

๐Ÿ‡ฌ๐Ÿ‡ง Speaks English

๐Ÿ™‚ Optimist

โ›ฐ Outdoors

๐Ÿฅพ Hiking

๐Ÿ’‰ COVID vaccinated

n=29,740


๐Ÿ‘จโ€ Nomad men

# Tag % vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 โ˜•๏ธ Coffee 37% +61%
2 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 31% +50%
3 ๐Ÿ™‚ Optimist 30% +61%
4 ๐Ÿ’ช Fitness 25% +86%
5 โ›ฐ Outdoors 24% +33%
6 ๐Ÿ’‰ COVID vaccinated 24% +51%
7 ๐Ÿฅพ Hiking 24% +47%
8 ๐Ÿ˜Ž Single 24% +62%
9 ๐Ÿถ Dogs 24% +35%
10 ๐Ÿง  Open-minded 23% +50%
11 โ˜€๏ธ Waking up early 23% +60%
12 ๐Ÿบ Beer 23% +182%
13 ๐ŸŒ™ Staying up late 22% +96%
14 ๐Ÿ“– Reading 22% +36%
15 ๐Ÿท Wine 21% +27%
n=23,262

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women

# Tag % vs. ๐Ÿ‘จโ€
1 โ˜•๏ธ Coffee 23% -38%
2 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 21% -34%
3 ๐Ÿ™‚ Optimist 18% -38%
4 โ›ฐ Outdoors 18% -25%
5 ๐Ÿถ Dogs 17% -26%
6 ๐Ÿท Wine 16% -21%
7 ๐Ÿฅพ Hiking 16% -32%
8 ๐Ÿ’‰ COVID vaccinated 16% -34%
9 ๐Ÿ“– Reading 16% -27%
10 ๐Ÿง  Open-minded 15% -33%
11 ๐Ÿต Tea 15% -20%
12 ๐Ÿ˜Ž Single 15% -38%
13 ๐Ÿคธโ€โ™€๏ธ Yoga 14% +38%
14 โ˜€๏ธ Waking up early 14% -37%
15 ๐Ÿ’ช Fitness 13% -46%
n=8,957


๐Ÿ‘จ Nomad men vs. women

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿง” Have a beard +1,587%
2 ๐Ÿ‘จ No beard +506%
3 โšฝ๏ธ Football +441%
4 ๐Ÿ’ Ice hockey +376%
5 ๐Ÿง‘โ€ Short hair +326%
6 ๐Ÿช‚ Dropout +307%
7 ๐Ÿ Motorcycling +292%
8 ๐Ÿ€ Basketball +281%
9 ๐ŸŽ Race sports +277%
10 โ™Ÿ๏ธ Chess +273%
11 ๐Ÿ’ช Fight sports +252%
12 ๐Ÿ“ Table tennis +252%
13 ๐Ÿ‘ด Conservative politics +252%
14 โœˆ๏ธ Private pilot +226%
15 ๐Ÿ‘พ Gaming +226%
n=29,740

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ’„ Makeup +2,803%
2 ๐Ÿคธโ€โ™€๏ธ Pilates +722%
3 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +247%
4 ๐Ÿ‘— Dress up +163%
5 ๐Ÿถ Pottery +160%
6 โœจ Astrology +156%
7 ๐Ÿ’ช Feminism +140%
8 ๐Ÿ’ƒ Fashion +132%
9 ๐Ÿฆพ Disabled +110%
10 โœจ Believe in astrology +102%
11 ๐Ÿ— Vintage +89%
12 ๐ŸŸฅ Red hair +74%
13 ๐ŸŽจ Drawing +64%
14 ๐Ÿณ๏ธโ€๐ŸŒˆ LGBTQ+ +59%
15 ๐Ÿข Slowmad +57%
n=29,740




๐Ÿ’‰ Nomads by vaccination

Vaccinated %
๐Ÿ’‰ COVID vaccinated
92%
๐Ÿ’‰ Not COVID vaccinated
8%
n=8,390

๐Ÿ’‰ Vaccination (men)

Vaccinated%
๐Ÿ’‰ Vaccinated
92%
๐Ÿ’‰ Not vaccinated
8%
n=6,025

๐Ÿ’‰ Vaccination (women)

Vaccinated%
๐Ÿ’‰ Vaccinated
94%
๐Ÿ’‰ Not vaccinated
6%
n=1,546

โค๏ธ Nomads by family

Relationship %
โค๏ธ Close to parents
82%
๐Ÿ’” Not close to parents
18%
n=2,513

๐Ÿ‘ถ Nomads by childhood

Childhood %
๐Ÿ˜Š Happy childhood
89%
๐Ÿ˜” Unhappy childhood
11%
n=2,702

๐Ÿ‘จ Childhood (men)

Childhood%
๐Ÿ˜Š Happy childhood
90%
๐Ÿ˜” Unhappy childhood
10%
n=1,992

๐Ÿ‘ฉ Childhood (women)

Childhood%
๐Ÿ˜Š Happy childhood
87%
๐Ÿ˜” Unhappy childhood
13%
n=444

๐Ÿก Homeownership amongst nomads

Homeownership %
๐Ÿก Homeowner
55%
๐Ÿก Not a homeowner
45%
n=2,912


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ƒ Running

โ›ฑ Beach

๐Ÿ˜ In a relationship

๐ŸŽ’ Backpacking

๐Ÿง  Open-minded

n=29,740


๐Ÿ‘จโ€ Most attractive men's traits

# Tag Diff
1 ๐Ÿ‘ถ Middle child +421%
2 ๐Ÿง‘โ€ Short hair +348%
3 ๐Ÿ’ช Crossfit +339%
4 ๐ŸŽธ Indie rock music +331%
5 ๐ŸŽง House music +324%
6 ๐Ÿง” Have a beard +294%
7 ๐ŸŽง Techno music +287%
8 ๐Ÿ‘จโ€๐ŸŽค Partying +282%
9 ๐Ÿง– Sauna +280%
10 ๐Ÿ’† Massage +270%
11 ๐Ÿ’ฌ Facebook +267%
12 ๐Ÿ’ฐ Pop music +260%
13 โค๏ธ My parents are together +249%
14 โ™จ๏ธ Hot springs +241%
15 ๐Ÿ‹๏ธโ€ Weightlifting +232%
16 ๐ŸŽง Hiphop music +232%
17 โฌœ๏ธ Has no tattoos +224%
18 ๐Ÿ iPhone +208%
19 ๐Ÿก Homeowner +207%
20 ๐Ÿธ Cocktails +201%
21 ๐Ÿ˜ In a relationship +198%
22 ๐Ÿ˜ Extrovert +182%
23 ๐Ÿ„ Surfing +177%
24 ๐Ÿงน Tidy +176%
25 ๐Ÿฅš Soft boiled eggs +176%
26 โ›ฑ Beach +173%
27 โ›ท Skiing +166%
28 โ›ฐ Climbing +166%
29 ๐Ÿณ๏ธโ€๐ŸŒˆ Progressive politics +154%
30 ๐Ÿƒ Running +150%
n=29,740

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

# Tag Diff
1 ๐Ÿƒ Running +629%
2 โ›ฑ Beach +405%
3 ๐ŸŽ’ Backpacking +404%
4 ๐Ÿ˜ In a relationship +346%
5 ๐Ÿง  Open-minded +322%
6 ๐Ÿ’ƒ Dancing +314%
7 ๐ŸŽž Movies +313%
8 ๐Ÿฅพ Hiking +298%
9 ๐Ÿ’ช Fitness +273%
10 ๐Ÿ“บ Documentaries +265%
11 โ˜€๏ธ Waking up early +253%
12 ๐Ÿคธโ€โ™€๏ธ Yoga +252%
13 ๐Ÿถ Dogs +245%
14 โ›ฐ Outdoors +230%
15 ๐ŸŒฏ Mexican food +217%
16 ๐Ÿท Wine +205%
17 ๐Ÿ Italian food +196%
18 ๐Ÿฃ Japanese food +192%
19 โ˜•๏ธ Coffee +186%
20 ๐Ÿšญ No smoking +165%
21 ๐Ÿต Tea +162%
22 ๐Ÿ’‰ COVID vaccinated +148%
23 ๐Ÿ“– Reading +121%
24 ๐Ÿ™‚ Optimist +117%
n=29,740


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’ช Feminism

๐Ÿ‘จ No beard

โœจ Believe in astrology

๐ŸŽง Garage music

๐Ÿ™ Buddhist

๐ŸŒธ Anime

n=29,740


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

# Tag Diff
1 ๐Ÿ’ช Feminism -1,437%
2 ๐Ÿ‘จ No beard -1,183%
3 ๐ŸŽง Garage music -561%
4 ๐ŸŒธ Anime -461%
5 ๐ŸŽง Hardstyle music -455%
6 ๐Ÿ’ฌ LINE -442%
7 ๐Ÿ™ Buddhist -440%
8 ๐Ÿช‚ Skydiving -434%
9 ๐ŸŽณ Bowling -427%
10 ๐Ÿšฌ Daily smoker -389%
11 ๐Ÿคฟ Snorkeling -326%
12 โœจ Believe in astrology -307%
13 ๐Ÿช‚ Paragliding -273%
14 ๐Ÿ Cricket -216%
15 ๐Ÿก Architecture -215%
16 ๐Ÿ‰ Rugby -209%
17 ๐Ÿ•บ Breakdance -137%
18 ๐Ÿ’ฆ Still water -107%
19 ๐Ÿƒ Sustainability -100%
20 ๐Ÿ€ Basketball -67%
21 ๐Ÿฅ› No alcohol -63%
22 ๐ŸŽฒ Board games -59%
23 ๐Ÿ’ฆ Sparkling water -46%
24 ๐ŸŽง Trance music -45%
25 ๐Ÿ‡ฐ๐Ÿ‡ท K-pop music -44%
26 ๐ŸŽค Podcast -31%
27 ๐Ÿ˜ˆ FetLife -27%
28 ๐Ÿข Slowmad -25%
29 ๐Ÿ‘ผ Youngest child -23%
30 ๐Ÿš Creatine -23%
n=29,740

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

# Tag Diff
1 ๐Ÿ’ฌ Facebook -571%
2 ๐Ÿ‚ Snowboarding -482%
3 ๐Ÿก Not a homeowner -417%
4 ๐Ÿ‘ถ Middle child -363%
5 โœจ Believe in astrology -274%
6 ๐Ÿ’ช Crossfit -254%
7 ๐Ÿ’ช Fight sports -209%
8 ๐Ÿง‘โ€ Short hair -189%
9 ๐Ÿ—ฝ Libertarian politics -171%
10 ๐ŸŽ Kitesurfing -157%
11 ๐Ÿธ Badminton -124%
12 ๐ŸŒŠ Free diving -115%
13 ๐Ÿ– Paleo -104%
14 ๐Ÿคฟ Snorkeling -99%
15 ๐Ÿ€ Basketball -99%
16 ๐Ÿ’ฅ Messy -90%
17 ๐Ÿš Urbex -86%
18 ๐Ÿ™ Buddhist -81%
19 ๐Ÿ‚ Skateboarding -77%
20 ๐ŸŽฑ Pool -54%
21 ๐Ÿ“” Religious -50%
22 ๐Ÿ‡ฐ๐Ÿ‡ท Korean food -44%
23 ๐Ÿช‚ Dropout -34%
24 ๐ŸŽณ Bowling -32%
25 ๐Ÿช‚ Paragliding -25%
26 ๐ŸŒธ Anime -25%
27 ๐Ÿ’ฌ LINE -23%
28 ๐Ÿ’ฌ Discord -14%
29 ๐Ÿ’ฌ Slack -12%
30 ๐ŸŽง Garage music -12%
n=29,740


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’ช Fitness

๐Ÿค  Product Manager

๐ŸŽจ UI/UX Design

๐Ÿ“Š SaaS

๐Ÿ‘ฉโ€๐ŸŽจ Creative

๐Ÿ“ˆ Data

n=29,740


๐Ÿ‘จโ€ Attractive men's jobs

# Tag Diff
1 ๐Ÿ’ช Fitness +298%
2 ๐Ÿค  Product Manager +273%
3 ๐ŸŽจ UI/UX Design +160%
4 ๐Ÿ“Š SaaS +131%
5 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +115%
6 ๐Ÿ“ˆ Data +107%
7 ๐Ÿ•ธ Web Dev +83%
8 ๐Ÿ“‡ Startup Founder +74%
9 ๐Ÿ’ฐ Finance +71%
10 ๐Ÿ“ฑ Mobile Dev +56%
11 ๐Ÿ’ป Software Dev +46%
12 ๐Ÿ˜ Marketing +39%
n=29,740

๐Ÿ‘ฑโ€โ™€๏ธ Attractive women's jobs

# Tag Diff
n=29,740


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.

๐Ÿ“ก Sysadmin

๐Ÿ“ฐ Journalism

๐Ÿ‘พ Game Dev

๐Ÿ‘ฉโ€๐Ÿ’ผ Law

๐Ÿšฉ Politics

๐Ÿ˜Ž VR Dev

n=29,740


๐Ÿ‘จโ€ Most unattractive men's jobs

# Tag Diff
1 ๐Ÿ“ก Sysadmin -1,170%
2 ๐Ÿ‘พ Game Dev -980%
3 ๐Ÿ“ฐ Journalism -668%
4 ๐Ÿšฉ Politics -446%
5 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law -402%
6 ๐Ÿ˜Ž VR Dev -385%
7 ๐ŸŒถ Adult -332%
8 ๐Ÿ“ธ Model -216%
9 ๐Ÿ“ˆ Investor -158%
10 ๐Ÿ“ Blogging -146%
11 ๐Ÿ‘Š Coach -124%
12 ๐Ÿ“น Content Creator -99%
13 ๐Ÿ›ก๏ธ InfoSec -91%
14 ๐Ÿ— Engineering -50%
15 ๐Ÿ  Real estate -27%
16 ๐ŸŽต Music -21%
17 ๐Ÿ™‚ Support -10%
18 ๐ŸŽจ Artist -4%
n=29,740

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

# Tag Diff
1 ๐Ÿ“ˆ Data -721%
2 ๐Ÿค‘ Sales -560%
3 ๐Ÿ“ฐ Journalism -343%
4 ๐Ÿ‘‹ Hospitality -307%
5 ๐Ÿ“ฑ Mobile Dev -278%
6 ๐Ÿ‘จโ€โš•๏ธ Medical -227%
7 ๐Ÿƒ Sports -139%
8 ๐Ÿ—ƒ Dev Ops -117%
9 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law -113%
10 ๐Ÿค Consulting -77%
11 ๐Ÿก Architecture -66%
12 ๐Ÿšš Logistics -48%
13 ๐Ÿšฉ Politics -25%
14 ๐Ÿ“น Content Creator -23%
15 ๐Ÿค Community -22%
16 ๐Ÿ‘พ Game Dev -1%
17 ๐Ÿ“ก Sysadmin -1%
n=29,740


Where do attractive people go?

๐Ÿ‘จโ€ Where attractive men travel to

# City Attractiveness
1 ๐Ÿ‡ฉ๐Ÿ‡ช Stuttgart 5
2 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 4.67
3 ๐Ÿ‡บ๐Ÿ‡ธ Honolulu 4.63
4 ๐Ÿ‡ง๐Ÿ‡ธ Nassau 4.6
5 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.5
6 ๐Ÿ‡ต๐Ÿ‡ท San Juan 4.45
7 ๐Ÿ‡จ๐Ÿ‡ท Tamarindo 4.45
8 ๐Ÿ‡ต๐Ÿ‡น Ericeira 4.43
9 ๐Ÿ‡ธ๐Ÿ‡ช Malmรถ 4.41
10 ๐Ÿ‡จ๐Ÿ‡ญ Zurich 4.39
11 ๐Ÿ‡จ๐Ÿ‡พ Limassol 4.37
12 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.35
13 ๐Ÿ‡จ๐Ÿ‡ด Santa Marta 4.34
14 ๐Ÿ‡บ๐Ÿ‡ธ Orlando 4.32
15 ๐Ÿ‡ฒ๐Ÿ‡ฉ Chisinau 4.31
16 ๐Ÿ‡ง๐Ÿ‡ท Florianopolis 4.29
17 ๐Ÿ‡ช๐Ÿ‡ธ Tenerife 4.27
18 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud 4.27
19 ๐Ÿ‡ฎ๐Ÿ‡น Naples 4.27
20 ๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt 4.26
21 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 4.26
22 ๐Ÿ‡ฒ๐Ÿ‡ฆ Taghazout 4.23
23 ๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik 4.21
24 ๐Ÿ‡น๐Ÿ‡ญ Ko Samui 4.21
25 ๐Ÿ‡ฆ๐Ÿ‡น Innsbruck 4.21
26 ๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu 4.21
27 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 4.2
28 ๐Ÿ‡ช๐Ÿ‡ธ Gran Canaria 4.19
29 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.19
30 ๐Ÿ‡ฒ๐Ÿ‡ฆ Fes 4.19
Based on attractiveness of visitors n=424,490

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

# City Attractiveness
1 ๐Ÿ‡บ๐Ÿ‡ธ Phoenix 5
2 ๐Ÿ‡บ๐Ÿ‡ธ Houston 4.88
3 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 4.88
4 ๐Ÿ‡ต๐Ÿ‡ฑ Gdansk 4.77
5 ๐Ÿ‡บ๐Ÿ‡ธ Orlando 4.72
6 ๐Ÿ‡ฑ๐Ÿ‡ฐ Galle 4.65
7 ๐Ÿ‡ป๐Ÿ‡ณ Nha Trang 4.65
8 ๐Ÿ‡ณ๐Ÿ‡ฑ Rotterdam 4.64
9 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 4.61
10 ๐Ÿ‡ฉ๐Ÿ‡ช Dresden 4.55
11 ๐Ÿ‡ฎ๐Ÿ‡น Genoa 4.5
12 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.49
13 ๐Ÿ‡ฎ๐Ÿ‡น Catania 4.49
14 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 4.48
15 ๐Ÿ‡ฌ๐Ÿ‡ช Batumi 4.47
16 ๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg 4.46
17 ๐Ÿ‡ท๐Ÿ‡บ Moscow 4.46
18 ๐Ÿ‡ต๐Ÿ‡น Faro 4.46
19 ๐Ÿ‡ฆ๐Ÿ‡บ Cairns 4.45
20 ๐Ÿ‡จ๐Ÿ‡ญ Interlaken 4.45
21 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.45
22 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 4.44
23 ๐Ÿ‡ฌ๐Ÿ‡ท Rhodes 4.44
24 ๐Ÿ‡จ๐Ÿ‡ฑ Valparaรญso 4.43
25 ๐Ÿ‡ช๐Ÿ‡ธ Malaga 4.43
26 ๐Ÿ‡น๐Ÿ‡ท Antalya 4.43
27 ๐Ÿ‡น๐Ÿ‡ญ Ko Samui 4.42
28 ๐Ÿ‡ป๐Ÿ‡ณ Da Lat 4.38
29 ๐Ÿ‡ต๐Ÿ‡น Ericeira 4.35
30 ๐Ÿ‡น๐Ÿ‡ญ Ao Nang 4.33
Based on attractiveness of visitors n=424,490


And where do unattractive people go?

๐Ÿ‘จโ€ Where unattractive men travel to

# City Attractiveness
1 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 3.12
2 ๐Ÿ‡ฎ๐Ÿ‡ฉ Kuta 3.15
3 ๐Ÿ‡ป๐Ÿ‡ณ Nha Trang 3.29
4 ๐Ÿ‡น๐Ÿ‡ท Izmir 3.32
5 ๐Ÿ‡ฟ๐Ÿ‡ฆ Johannesburg 3.32
6 ๐Ÿ‡บ๐Ÿ‡ธ Denver 3.39
7 ๐Ÿ‡บ๐Ÿ‡ฆ Lviv 3.43
8 ๐Ÿ‡จ๐Ÿ‡ณ Beijing 3.5
9 ๐Ÿ‡จ๐Ÿ‡ฆ Toronto 3.5
10 ๐Ÿ‡ณ๐Ÿ‡ฑ Utrecht 3.51
11 ๐Ÿ‡บ๐Ÿ‡ธ Houston 3.52
12 ๐Ÿ‡ถ๐Ÿ‡ฆ Doha 3.53
13 ๐Ÿ‡บ๐Ÿ‡ธ Chicago 3.55
14 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.56
15 ๐Ÿ‡ฎ๐Ÿ‡ณ Goa 3.56
16 ๐Ÿ‡ท๐Ÿ‡ด Cluj 3.56
17 ๐Ÿ‡จ๐Ÿ‡บ Havana 3.56
18 ๐Ÿ‡ป๐Ÿ‡ฆ Vatican City 3.57
19 ๐Ÿ‡ฆ๐Ÿ‡ฉ Andorra la Vella 3.57
20 ๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown 3.57
21 ๐Ÿ‡บ๐Ÿ‡ธ Portland 3.57
22 ๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo 3.58
23 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 3.59
24 ๐Ÿ‡ช๐Ÿ‡ธ Bilbao 3.59
25 ๐Ÿ‡ซ๐Ÿ‡ท Bordeaux 3.59
26 ๐Ÿ‡ฉ๐Ÿ‡ช Dusseldorf 3.59
27 ๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan 3.59
28 ๐Ÿ‡ฌ๐Ÿ‡ท Thessaloniki 3.6
29 ๐Ÿ‡บ๐Ÿ‡ธ Las Vegas 3.61
30 ๐Ÿ‡ฒ๐Ÿ‡ฆ Tangier 3.62
Based on unattractiveness of visitors n=424,490

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

# City Attractiveness
1 ๐Ÿ‡ช๐Ÿ‡จ Quito 3.06
2 ๐Ÿ‡ฌ๐Ÿ‡ง Glasgow 3.11
3 ๐Ÿ‡จ๐Ÿ‡ณ Macau 3.14
4 ๐Ÿ‡ณ๐Ÿ‡ฟ Wellington 3.23
5 ๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo 3.24
6 ๐Ÿ‡ง๐Ÿ‡ฆ Mostar 3.24
7 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.25
8 ๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo 3.25
9 ๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama 3.28
10 ๐Ÿ‡ต๐Ÿ‡พ Asuncion 3.28
11 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 3.32
12 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.32
13 ๐Ÿ‡ฆ๐Ÿ‡บ Perth 3.33
14 ๐Ÿ‡จ๐Ÿ‡ด Santa Marta 3.34
15 ๐Ÿ‡ฒ๐Ÿ‡ฝ Puebla 3.34
16 ๐Ÿ‡จ๐Ÿ‡ด Bogota 3.36
17 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guanajuato 3.38
18 ๐Ÿ‡ง๐Ÿ‡ฌ Bansko 3.39
19 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.39
20 ๐Ÿ‡น๐Ÿ‡ญ Ko Lanta 3.4
21 ๐Ÿ‡ฏ๐Ÿ‡ฒ Montego Bay 3.41
22 ๐Ÿ‡ฏ๐Ÿ‡ด Amman 3.42
23 ๐Ÿ‡ณ๐Ÿ‡ฎ San Juan del Sur 3.42
24 ๐Ÿ‡จ๐Ÿ‡ณ Shenzhen 3.44
25 ๐Ÿ‡ฒ๐Ÿ‡ฝ Merida 3.44
26 ๐Ÿ‡ฉ๐Ÿ‡ช Dusseldorf 3.45
27 ๐Ÿ‡ช๐Ÿ‡ธ Lanzarote 3.46
28 ๐Ÿ‡ช๐Ÿ‡จ Cuenca 3.47
29 ๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende 3.48
30 ๐Ÿ‡ต๐Ÿ‡ท San Juan 3.48
Based on unattractiveness of visitors n=424,490



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 48%
2 ๐Ÿ‡ง๐Ÿ‡พ Minsk 46%
3 ๐Ÿ‡ต๐Ÿ‡น Madeira 45%
4 ๐Ÿ‡บ๐Ÿ‡ธ Boston 44%
5 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 44%
6 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 43%
7 ๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg 43%
8 ๐Ÿ‡ฑ๐Ÿ‡ง Beirut 43%
9 ๐Ÿ‡ท๐Ÿ‡ด Brasov 43%
10 ๐Ÿ‡ฒ๐Ÿ‡ฉ Chisinau 43%
11 ๐Ÿ‡ฌ๐Ÿ‡ช Batumi 43%
12 ๐Ÿ‡ช๐Ÿ‡ธ Lanzarote 43%
13 ๐Ÿ‡ฒ๐Ÿ‡ฆ Taghazout 43%
14 ๐Ÿ‡ฆ๐Ÿ‡ฉ Andorra la Vella 43%
15 ๐Ÿ‡จ๐Ÿ‡ญ Geneva 42%
16 ๐Ÿ‡ต๐Ÿ‡น Azores 42%
17 ๐Ÿ‡จ๐Ÿ‡พ Limassol 42%
18 ๐Ÿ‡ฎ๐Ÿ‡น Genoa 42%
19 ๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek 42%
20 ๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo 42%
21 ๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama 42%
22 ๐Ÿ‡ช๐Ÿ‡ช Tallinn 42%
23 ๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana 42%
24 ๐Ÿ‡ฑ๐Ÿ‡ป Riga 42%
25 ๐Ÿ‡ณ๐Ÿ‡ฑ The Hague 42%
26 ๐Ÿ‡จ๐Ÿ‡ญ Zurich 42%
27 ๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan 42%
28 ๐Ÿ‡ช๐Ÿ‡ธ Bilbao 42%
29 ๐Ÿ‡ฎ๐Ÿ‡น Turin 42%
30 ๐Ÿ‡ฌ๐Ÿ‡ท Thessaloniki 42%
Share of visiting nomads with a graduate degree n=124,409 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 27%
3 ๐Ÿ‡ฒ๐Ÿ‡ฆ Tangier 27%
4 ๐Ÿ‡จ๐Ÿ‡ท Tamarindo 27%
5 ๐Ÿ‡น๐Ÿ‡ญ Krabi 28%
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita 29%
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 29%
8 ๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende 30%
9 ๐Ÿ‡จ๐Ÿ‡ณ Guangzhou 30%
10 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 31%
11 ๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta 31%
12 ๐Ÿ‡บ๐Ÿ‡ธ Houston 31%
13 ๐Ÿ‡ฌ๐Ÿ‡น Antigua 31%
14 ๐Ÿ‡น๐Ÿ‡ญ Ao Nang 31%
15 ๐Ÿ‡ฏ๐Ÿ‡ต Hiroshima 31%
16 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 31%
17 ๐Ÿ‡ฒ๐Ÿ‡ฝ San Cristรณbal de las Casas 31%
18 ๐Ÿ‡ฏ๐Ÿ‡ต Osaka 31%
19 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 31%
20 ๐Ÿ‡ฎ๐Ÿ‡ฉ Seminyak 31%
21 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 32%
22 ๐Ÿ‡ป๐Ÿ‡ณ Hue 32%
23 ๐Ÿ‡จ๐Ÿ‡ท Santa Teresa 32%
24 ๐Ÿ‡น๐Ÿ‡ญ Pai 32%
25 ๐Ÿ‡ฆ๐Ÿ‡บ Perth 32%
26 ๐Ÿ‡ต๐Ÿ‡ญ Cebu 32%
27 ๐Ÿ‡น๐Ÿ‡ผ Taipei 32%
28 ๐Ÿ‡ป๐Ÿ‡ณ Da Nang 32%
29 ๐Ÿ‡ช๐Ÿ‡ธ San Sebastian 32%
30 ๐Ÿ‡ต๐Ÿ‡ญ Manila 32%
Share of visiting nomads with a graduate degree n=124,409 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‡ฟ Tashkent33 yrs
3๐Ÿ‡ฎ๐Ÿ‡น Pisa33 yrs
4๐Ÿ‡น๐Ÿ‡ท Ankara33 yrs
5๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu34 yrs
6๐Ÿ‡ต๐Ÿ‡ฑ Warsaw34 yrs
7๐Ÿ‡ต๐Ÿ‡ญ Siargao34 yrs
8๐Ÿ‡ต๐Ÿ‡ฑ Poznan34 yrs
9๐Ÿ‡จ๐Ÿ‡ณ Chengdu34 yrs
10๐Ÿ‡จ๐Ÿ‡ณ Guangzhou34 yrs
11๐Ÿ‡น๐Ÿ‡ท Antalya34 yrs
12๐Ÿ‡จ๐Ÿ‡ฟ Brno34 yrs
13๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan34 yrs
14๐Ÿ‡ฎ๐Ÿ‡น Milan34 yrs
15๐Ÿ‡ถ๐Ÿ‡ฆ Doha34 yrs
16๐Ÿ‡ฌ๐Ÿ‡ช Kutaisi34 yrs
17๐Ÿ‡ธ๐Ÿ‡ช Gothenburg34 yrs
18๐Ÿ‡บ๐Ÿ‡ธ Raleigh34 yrs
19๐Ÿ‡ฆ๐Ÿ‡ท Bariloche34 yrs
20๐Ÿ‡บ๐Ÿ‡ธ Detroit34 yrs
21๐Ÿ‡ฌ๐Ÿ‡ง Cambridge34 yrs
22๐Ÿ‡ฒ๐Ÿ‡ป Male34 yrs
23๐Ÿ‡ซ๐Ÿ‡ท Chamonix34 yrs
24๐Ÿ‡ป๐Ÿ‡ฆ Vatican City34 yrs
25๐Ÿ‡ท๐Ÿ‡บ Sochi34 yrs
26๐Ÿ‡บ๐Ÿ‡ธ Philadelphia34.5 yrs
27๐Ÿ‡ง๐Ÿ‡ท Foz do Iguaรงu34.5 yrs
28๐Ÿ‡ฒ๐Ÿ‡ฆ Taghazout34.5 yrs
29๐Ÿ‡ฌ๐Ÿ‡ง Oxford34.5 yrs
30๐Ÿ‡จ๐Ÿ‡ญ Interlaken34.5 yrs
Median age of visiting nomads (locals excluded)n=197,330 nomads

๐Ÿง“ Oldest visiting nomads

#CityMedian age
1๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende41 yrs
2๐Ÿ‡ฒ๐Ÿ‡ฝ Puebla39 yrs
3๐Ÿ‡ณ๐Ÿ‡ฟ Wellington39 yrs
4๐Ÿ‡ฒ๐Ÿ‡ฒ Yangon38 yrs
5๐Ÿ‡จ๐Ÿ‡ท Puerto Viejo38 yrs
6๐Ÿ‡น๐Ÿ‡ญ Hua Hin38 yrs
7๐Ÿ‡บ๐Ÿ‡ธ Oakland38 yrs
8๐Ÿ‡บ๐Ÿ‡ธ Kansas City38 yrs
9๐Ÿ‡ฒ๐Ÿ‡ฝ Merida38 yrs
10๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara38 yrs
11๐Ÿ‡ง๐Ÿ‡ท Fortaleza38 yrs
12๐Ÿ‡ง๐Ÿ‡ท Recife38 yrs
13๐Ÿ‡น๐Ÿ‡ญ Ko Lanta38 yrs
14๐Ÿ‡ช๐Ÿ‡จ Cuenca38 yrs
15๐Ÿ‡จ๐Ÿ‡ฆ Quebec City37.5 yrs
16๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Vallarta37 yrs
17๐Ÿ‡ฑ๐Ÿ‡ง Beirut37 yrs
18๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita37 yrs
19๐Ÿ‡ฌ๐Ÿ‡ง Belfast37 yrs
20๐Ÿ‡ง๐Ÿ‡ธ Nassau37 yrs
21๐Ÿ‡ฆ๐Ÿ‡บ Gold Coast37 yrs
22๐Ÿ‡ฒ๐Ÿ‡ฝ Isla Mujeres37 yrs
23๐Ÿ‡ช๐Ÿ‡ธ Tarifa37 yrs
24๐Ÿ‡ซ๐Ÿ‡ท Montpellier37 yrs
25๐Ÿ‡ต๐Ÿ‡ฆ Bocas del Toro37 yrs
26๐Ÿ‡ฆ๐Ÿ‡บ Cairns37 yrs
27๐Ÿ‡ฆ๐Ÿ‡ฉ Andorra la Vella37 yrs
28๐Ÿ‡ต๐Ÿ‡ญ Boracay37 yrs
29๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane37 yrs
30๐Ÿ‡ฌ๐Ÿ‡ง Glasgow37 yrs
Median age of visiting nomads (locals excluded)n=197,330 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 canโ€™t skew it.

๐Ÿ’ฐ Highest-earning visitors

#CityMedian income
1๐Ÿ‡บ๐Ÿ‡ธ Austin$150,000
2๐Ÿ‡จ๐Ÿ‡ฆ Vancouver$125,000
3๐Ÿ‡บ๐Ÿ‡ธ New York City$100,000
4๐Ÿ‡ฏ๐Ÿ‡ต Tokyo$100,000
5๐Ÿ‡ฉ๐Ÿ‡ฐ Copenhagen$100,000
6๐Ÿ‡ณ๐Ÿ‡ฟ Auckland$100,000
7๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana$100,000
8๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town$100,000
9๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City$100,000
10๐Ÿ‡บ๐Ÿ‡ธ Boston$100,000
11๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro$100,000
12๐Ÿ‡บ๐Ÿ‡ธ Chicago$100,000
13๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca$100,000
14๐Ÿ‡ฆ๐Ÿ‡บ Sydney$100,000
15๐Ÿ‡ฎ๐Ÿ‡ณ Delhi$100,000
16๐Ÿ‡บ๐Ÿ‡ธ Las Vegas$100,000
17๐Ÿ‡ธ๐Ÿ‡ช Stockholm$100,000
18๐Ÿ‡ฏ๐Ÿ‡ต Kyoto$100,000
19๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires$100,000
20๐Ÿ‡น๐Ÿ‡ผ Taipei$100,000
21๐Ÿ‡ฒ๐Ÿ‡ฆ Marrakesh$100,000
22๐Ÿ‡จ๐Ÿ‡ฆ Toronto$100,000
23๐Ÿ‡บ๐Ÿ‡ธ Miami$100,000
24๐Ÿ‡จ๐Ÿ‡ฆ Montreal$100,000
25๐Ÿ‡จ๐Ÿ‡ญ Zurich$100,000
26๐Ÿ‡จ๐Ÿ‡ด Bogota$100,000
27๐Ÿ‡จ๐Ÿ‡ญ Geneva$100,000
28๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong$100,000
29๐Ÿ‡จ๐Ÿ‡ด Medellรญn$100,000
30๐Ÿ‡บ๐Ÿ‡ธ San Francisco$100,000
Median self-reported income of visiting nomadsn=46,182 nomads

๐Ÿช™ Lowest-earning visitors

#CityMedian income
1๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty$67,500
2๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan$70,000
3๐Ÿ‡ต๐Ÿ‡ญ Cebu$70,000
4๐Ÿ‡ฌ๐Ÿ‡ช Batumi$70,000
5๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh$72,500
6๐Ÿ‡ป๐Ÿ‡ณ Da Nang$72,500
7๐Ÿ‡น๐Ÿ‡ญ Pattaya$75,000
8๐Ÿ‡น๐Ÿ‡ท Antalya$75,000
9๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan$75,000
10๐Ÿ‡ฒ๐Ÿ‡พ Penang$75,000
11๐Ÿ‡ป๐Ÿ‡ณ Hoi An$75,000
12๐Ÿ‡ฒ๐Ÿ‡ฐ Skopje$75,000
13๐Ÿ‡ง๐Ÿ‡ฌ Bansko$75,000
14๐Ÿ‡ฐ๐Ÿ‡ท Busan$75,000
15๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi$75,000
16๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur$75,000
17๐Ÿ‡ป๐Ÿ‡ฆ Vatican City$80,000
18๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg$80,000
19๐Ÿ‡น๐Ÿ‡ญ Ko Tao$80,000
20๐Ÿ‡ช๐Ÿ‡ธ Tenerife$80,000
21๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo$80,000
22๐Ÿ‡น๐Ÿ‡ญ Phuket$80,000
23๐Ÿ‡น๐Ÿ‡ญ Ko Lanta$80,000
24๐Ÿ‡ท๐Ÿ‡ธ Belgrade$80,000
25๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta$80,000
26๐Ÿ‡น๐Ÿ‡ท Istanbul$80,000
27๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka$80,000
28๐Ÿ‡ฐ๐Ÿ‡ญ Siem Reap$80,000
29๐Ÿ‡น๐Ÿ‡ญ Krabi$80,000
30๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud$80,000
Median self-reported income of visiting nomadsn=46,182 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 โ€” higher means a more internationally mixed crowd of visitors.

๐ŸŒ Most international crowd

#CityNationality mix
1๐Ÿ‡บ๐Ÿ‡ธ San Francisco95%
2๐Ÿ‡บ๐Ÿ‡ธ Boston95%
3๐Ÿ‡บ๐Ÿ‡ธ Denver95%
4๐Ÿ‡บ๐Ÿ‡ธ Washington95%
5๐Ÿ‡บ๐Ÿ‡ธ New York City95%
6๐Ÿ‡บ๐Ÿ‡ธ Los Angeles95%
7๐Ÿ‡ฒ๐Ÿ‡พ Langkawi95%
8๐Ÿ‡บ๐Ÿ‡ธ Las Vegas95%
9๐Ÿ‡บ๐Ÿ‡ธ Miami95%
10๐Ÿ‡ฎ๐Ÿ‡ฉ Gili Trawangan94%
11๐Ÿ‡จ๐Ÿ‡ฟ Brno94%
12๐Ÿ‡บ๐Ÿ‡ธ Chicago94%
13๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo94%
14๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar94%
15๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama94%
16๐Ÿ‡ช๐Ÿ‡ธ Tenerife94%
17๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu94%
18๐Ÿ‡บ๐Ÿ‡ธ Seattle94%
19๐Ÿ‡บ๐Ÿ‡ธ San Diego94%
20๐Ÿ‡น๐Ÿ‡ญ Hua Hin94%
21๐Ÿ‡ฆ๐Ÿ‡ช Dubai94%
22๐Ÿ‡ฌ๐Ÿ‡ท Rhodes94%
23๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi94%
24๐Ÿ‡ฎ๐Ÿ‡น Catania94%
25๐Ÿ‡บ๐Ÿ‡ธ New Orleans93%
26๐Ÿ‡ช๐Ÿ‡ฌ Dahab93%
27๐Ÿ‡ฎ๐Ÿ‡ฉ Kuta93%
28๐Ÿ‡ป๐Ÿ‡ณ Da Nang93%
29๐Ÿ‡จ๐Ÿ‡พ Larnaca93%
30๐Ÿ‡น๐Ÿ‡ญ Pai93%
How mixed the visiting nomadsโ€™ nationalities aren=137,671 nomads

๐Ÿ“ Least international crowd

#CityNationality mix
1๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas45%
2๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende48%
3๐Ÿ‡ต๐Ÿ‡ท San Juan49%
4๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita58%
5๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Vallarta59%
6๐Ÿ‡ง๐Ÿ‡ธ Nassau63%
7๐Ÿ‡จ๐Ÿ‡ท Tamarindo65%
8๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel68%
9๐Ÿ‡จ๐Ÿ‡ท Santa Teresa68%
10๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara70%
11๐Ÿ‡ฌ๐Ÿ‡น Antigua71%
12๐Ÿ‡ช๐Ÿ‡จ Quito72%
13๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City74%
14๐Ÿ‡ฒ๐Ÿ‡ฝ Merida75%
15๐Ÿ‡จ๐Ÿ‡ด Medellรญn75%
16๐Ÿ‡จ๐Ÿ‡ฆ Vancouver75%
17๐Ÿ‡ฌ๐Ÿ‡น Guatemala City75%
18๐Ÿ‡ณ๐Ÿ‡ฎ San Juan del Sur76%
19๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum77%
20๐Ÿ‡จ๐Ÿ‡ท San Josรฉ77%
21๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik77%
22๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca77%
23๐Ÿ‡จ๐Ÿ‡ฆ Calgary77%
24๐Ÿ‡ต๐Ÿ‡ฆ Bocas del Toro78%
25๐Ÿ‡จ๐Ÿ‡ฆ Montreal78%
26๐Ÿ‡จ๐Ÿ‡ด Cali78%
27๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen78%
28๐Ÿ‡จ๐Ÿ‡ด Cartagena79%
29๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown80%
30๐Ÿ‡ต๐Ÿ‡ช Lima80%
How mixed the visiting nomadsโ€™ nationalities aren=137,671 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‡ฐ๐Ÿ‡ฟ Almaty67%
2๐Ÿ‡ฌ๐Ÿ‡ช Batumi67%
3๐Ÿ‡บ๐Ÿ‡ฟ Tashkent63%
4๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan63%
5๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw63%
6๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek62%
7๐Ÿ‡จ๐Ÿ‡พ Larnaca62%
8๐Ÿ‡ท๐Ÿ‡ด Cluj62%
9๐Ÿ‡ป๐Ÿ‡ณ Da Lat61%
10๐Ÿ‡ง๐Ÿ‡พ Minsk61%
11๐Ÿ‡น๐Ÿ‡ผ Kaohsiung61%
12๐Ÿ‡น๐Ÿ‡ญ Pattaya61%
13๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar61%
14๐Ÿ‡ซ๐Ÿ‡ท Lyon60%
15๐Ÿ‡ฏ๐Ÿ‡ต Hiroshima60%
16๐Ÿ‡ต๐Ÿ‡ฑ Krakรณw60%
17๐Ÿ‡น๐Ÿ‡ท Antalya60%
18๐Ÿ‡ฏ๐Ÿ‡ต Osaka60%
19๐Ÿ‡ท๐Ÿ‡ธ Novi Sad60%
20๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi60%
21๐Ÿ‡ท๐Ÿ‡บ Moscow60%
22๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka59%
23๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru59%
24๐Ÿ‡ท๐Ÿ‡ธ Belgrade59%
25๐Ÿ‡บ๐Ÿ‡ธ San Francisco59%
26๐Ÿ‡ฒ๐Ÿ‡พ Langkawi59%
27๐Ÿ‡ณ๐Ÿ‡ฑ Utrecht59%
28๐Ÿ‡ป๐Ÿ‡ณ Phu Quoc58%
29๐Ÿ‡ณ๐Ÿ‡ด Oslo58%
30๐Ÿ‡ฐ๐Ÿ‡ท Busan58%
Share of visiting nomads who are developersn=152,995 nomads

๐ŸŒด Fewest developers

#CityDevelopers
1๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas36%
2๐Ÿ‡ง๐Ÿ‡ท Salvador39%
3๐Ÿ‡ช๐Ÿ‡จ Cuenca39%
4๐Ÿ‡ณ๐Ÿ‡ฎ San Juan del Sur41%
5๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum41%
6๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo41%
7๐Ÿ‡จ๐Ÿ‡ด Santa Marta42%
8๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita42%
9๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Vallarta42%
10๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende42%
11๐Ÿ‡ฌ๐Ÿ‡น Antigua42%
12๐Ÿ‡ฒ๐Ÿ‡ฝ Merida42%
13๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca42%
14๐Ÿ‡จ๐Ÿ‡ท Santa Teresa43%
15๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town43%
16๐Ÿ‡ช๐Ÿ‡ธ San Sebastian43%
17๐Ÿ‡ฑ๐Ÿ‡ง Beirut43%
18๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana44%
19๐Ÿ‡ฏ๐Ÿ‡ด Amman44%
20๐Ÿ‡ต๐Ÿ‡ฆ Bocas del Toro44%
21๐Ÿ‡ฆ๐Ÿ‡ท El Calafate44%
22๐Ÿ‡ช๐Ÿ‡จ Quito45%
23๐Ÿ‡ฐ๐Ÿ‡ช Nairobi45%
24๐Ÿ‡ฒ๐Ÿ‡ฆ Essaouira45%
25๐Ÿ‡ต๐Ÿ‡ญ Siargao45%
26๐Ÿ‡จ๐Ÿ‡บ Havana45%
27๐Ÿ‡ฌ๐Ÿ‡ท Mykonos45%
28๐Ÿ‡ฒ๐Ÿ‡ฝ Isla Mujeres46%
29๐Ÿ‡ต๐Ÿ‡ท San Juan46%
30๐Ÿ‡ต๐Ÿ‡น Lagos46%
Share of visiting nomads who are developersn=152,995 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‡บ๐Ÿ‡ธ San Francisco46%
2๐Ÿ‡จ๐Ÿ‡ณ Shenzhen46%
3๐Ÿ‡ช๐Ÿ‡ธ Marbella46%
4๐Ÿ‡บ๐Ÿ‡ธ Boston42%
5๐Ÿ‡ด๐Ÿ‡ฒ Muscat42%
6๐Ÿ‡ซ๐Ÿ‡ท Cannes41%
7๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong40%
8๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi40%
9๐Ÿ‡ฆ๐Ÿ‡ช Dubai40%
10๐Ÿ‡ฆ๐Ÿ‡บ Perth40%
11๐Ÿ‡บ๐Ÿ‡ธ New Orleans40%
12๐Ÿ‡บ๐Ÿ‡ธ Las Vegas40%
13๐Ÿ‡บ๐Ÿ‡ธ Philadelphia40%
14๐Ÿ‡บ๐Ÿ‡ฆ Kyiv40%
15๐Ÿ‡ฒ๐Ÿ‡จ Monaco40%
16๐Ÿ‡จ๐Ÿ‡พ Larnaca39%
17๐Ÿ‡บ๐Ÿ‡ธ Los Angeles39%
18๐Ÿ‡ถ๐Ÿ‡ฆ Doha39%
19๐Ÿ‡บ๐Ÿ‡ธ Dallas39%
20๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru39%
21๐Ÿ‡ง๐Ÿ‡ธ Nassau39%
22๐Ÿ‡จ๐Ÿ‡ณ Guangzhou39%
23๐Ÿ‡ฎ๐Ÿ‡ฉ Sanur39%
24๐Ÿ‡ฎ๐Ÿ‡ณ Goa39%
25๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu39%
26๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar39%
27๐Ÿ‡ช๐Ÿ‡ธ Bilbao39%
28๐Ÿ‡บ๐Ÿ‡ธ New York City39%
29๐Ÿ‡ซ๐Ÿ‡ฎ Helsinki39%
30๐Ÿ‡บ๐Ÿ‡ฆ Lviv38%
Share of visiting nomads who are foundersn=152,995 nomads

๐Ÿง‘โ€๐Ÿญ Fewest founders

#CityFounders
1๐Ÿ‡ฆ๐Ÿ‡ท Bariloche22%
2๐Ÿ‡ฆ๐Ÿ‡ท El Calafate24%
3๐Ÿ‡ต๐Ÿ‡ช Arequipa26%
4๐Ÿ‡ฒ๐Ÿ‡ฝ Merida27%
5๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara27%
6๐Ÿ‡ฌ๐Ÿ‡ง Glasgow27%
7๐Ÿ‡ช๐Ÿ‡จ Cuenca27%
8๐Ÿ‡ง๐Ÿ‡ฆ Mostar27%
9๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Escondido27%
10๐Ÿ‡ฒ๐Ÿ‡ฝ San Cristรณbal de las Casas27%
11๐Ÿ‡จ๐Ÿ‡ท Puerto Viejo27%
12๐Ÿ‡ฆ๐Ÿ‡ท Mendoza27%
13๐Ÿ‡ช๐Ÿ‡ธ Granada27%
14๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo27%
15๐Ÿ‡ฆ๐Ÿ‡ฑ Sarandรซ27%
16๐Ÿ‡ง๐Ÿ‡ฌ Plovdiv28%
17๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca28%
18๐Ÿ‡ช๐Ÿ‡จ Quito28%
19๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel28%
20๐Ÿ‡ณ๐Ÿ‡ฟ Christchurch28%
21๐Ÿ‡ฐ๐Ÿ‡ท Busan28%
22๐Ÿ‡จ๐Ÿ‡ด Santa Marta28%
23๐Ÿ‡ฒ๐Ÿ‡ช Kotor28%
24๐Ÿ‡ต๐Ÿ‡ช Cusco28%
25๐Ÿ‡บ๐Ÿ‡ธ Honolulu28%
26๐Ÿ‡จ๐Ÿ‡ท Santa Teresa29%
27๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana29%
28๐Ÿ‡ญ๐Ÿ‡ท Zadar29%
29๐Ÿ‡ฆ๐Ÿ‡ท Ushuaia29%
30๐Ÿ‡ฆ๐Ÿ‡ท Cordoba29%
Share of visiting nomads who are foundersn=152,995 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 Sebastian38%
2๐Ÿ‡ฆ๐Ÿ‡บ Perth37%
3๐Ÿ‡บ๐Ÿ‡ธ Portland37%
4๐Ÿ‡บ๐Ÿ‡ธ Los Angeles35%
5๐Ÿ‡ง๐Ÿ‡ช Antwerp35%
6๐Ÿ‡จ๐Ÿ‡ณ Shanghai34%
7๐Ÿ‡ซ๐Ÿ‡ท Cannes34%
8๐Ÿ‡ฒ๐Ÿ‡ฆ Essaouira34%
9๐Ÿ‡ช๐Ÿ‡ธ Bilbao34%
10๐Ÿ‡ฒ๐Ÿ‡ฆ Tangier34%
11๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh34%
12๐Ÿ‡ฒ๐Ÿ‡พ Penang34%
13๐Ÿ‡ฆ๐Ÿ‡บ Melbourne34%
14๐Ÿ‡ง๐Ÿ‡ธ Nassau34%
15๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum34%
16๐Ÿ‡ต๐Ÿ‡น Faro34%
17๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo33%
18๐Ÿ‡จ๐Ÿ‡ณ Guangzhou33%
19๐Ÿ‡จ๐Ÿ‡ท Puerto Viejo33%
20๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt33%
21๐Ÿ‡จ๐Ÿ‡ณ Beijing33%
22๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan33%
23๐Ÿ‡บ๐Ÿ‡ธ San Francisco33%
24๐Ÿ‡ฎ๐Ÿ‡น Milan33%
25๐Ÿ‡ฒ๐Ÿ‡พ Langkawi33%
26๐Ÿ‡บ๐Ÿ‡ธ New Orleans33%
27๐Ÿ‡ณ๐Ÿ‡ฑ Rotterdam33%
28๐Ÿ‡ฌ๐Ÿ‡ง Edinburgh33%
29๐Ÿ‡น๐Ÿ‡ท Izmir33%
30๐Ÿ‡ฉ๐Ÿ‡ช Berlin33%
Share of visiting nomads who are designersn=152,995 nomads

๐Ÿ”ง Fewest designers

#CityDesigners
1๐Ÿ‡ต๐Ÿ‡พ Asuncion19%
2๐Ÿ‡ฆ๐Ÿ‡ท Bariloche22%
3๐Ÿ‡บ๐Ÿ‡ธ Denver22%
4๐Ÿ‡จ๐Ÿ‡พ Limassol22%
5๐Ÿ‡ฆ๐Ÿ‡ฉ Andorra la Vella22%
6๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty23%
7๐Ÿ‡ช๐Ÿ‡ฌ Dahab23%
8๐Ÿ‡ฆ๐Ÿ‡ท Ushuaia23%
9๐Ÿ‡ญ๐Ÿ‡ท Zadar24%
10๐Ÿ‡ฐ๐Ÿ‡ท Jeju Island24%
11๐Ÿ‡ฒ๐Ÿ‡ช Podgorica24%
12๐Ÿ‡ฑ๐Ÿ‡น Vilnius24%
13๐Ÿ‡ฆ๐Ÿ‡ท El Calafate24%
14๐Ÿ‡จ๐Ÿ‡พ Paphos24%
15๐Ÿ‡ฎ๐Ÿ‡น Verona24%
16๐Ÿ‡ฌ๐Ÿ‡ท Rhodes24%
17๐Ÿ‡ง๐Ÿ‡ท Foz do Iguaรงu24%
18๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi25%
19๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan25%
20๐Ÿ‡ฎ๐Ÿ‡ฉ Sanur25%
21๐Ÿ‡ง๐Ÿ‡พ Minsk25%
22๐Ÿ‡ฒ๐Ÿ‡ฆ Casablanca25%
23๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek25%
24๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg25%
25๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo25%
26๐Ÿ‡ฌ๐Ÿ‡ช Batumi25%
27๐Ÿ‡ฆ๐Ÿ‡ท Mendoza25%
28๐Ÿ‡ฆ๐Ÿ‡ฟ Baku25%
29๐Ÿ‡ธ๐Ÿ‡ช Gothenburg25%
30๐Ÿ‡ง๐Ÿ‡ฌ Plovdiv25%
Share of visiting nomads who are designersn=152,995 nomads


Which cities attract the fittest nomads?

Share of the visiting nomads who travel to each city who lift โ€” 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‡จ๐Ÿ‡ด Medellรญn52%
3๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu51%
4๐Ÿ‡น๐Ÿ‡ญ Ko Samui51%
5๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen50%
6๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo50%
7๐Ÿ‡ต๐Ÿ‡ญ Siargao50%
8๐Ÿ‡จ๐Ÿ‡ด Cali50%
9๐Ÿ‡จ๐Ÿ‡ท Tamarindo50%
10๐Ÿ‡จ๐Ÿ‡ท Santa Teresa50%
11๐Ÿ‡ง๐Ÿ‡ท Florianopolis49%
12๐Ÿ‡น๐Ÿ‡ญ Krabi49%
13๐Ÿ‡ถ๐Ÿ‡ฆ Doha49%
14๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan49%
15๐Ÿ‡ต๐Ÿ‡ฆ Panama City49%
16๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara49%
17๐Ÿ‡จ๐Ÿ‡ด Cartagena49%
18๐Ÿ‡ญ๐Ÿ‡ท Hvar49%
19๐Ÿ‡ต๐Ÿ‡ท San Juan49%
20๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu49%
21๐Ÿ‡จ๐Ÿ‡ท Puerto Viejo49%
22๐Ÿ‡ช๐Ÿ‡ธ Lanzarote49%
23๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro49%
24๐Ÿ‡ช๐Ÿ‡ธ Marbella49%
25๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura48%
26๐Ÿ‡บ๐Ÿ‡ธ Atlanta48%
27๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita48%
28๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik48%
29๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi48%
30๐Ÿ‡ช๐Ÿ‡ธ Mallorca48%
Share of visiting nomads into gym & strength trainingn=149,762 nomads

๐Ÿ›‹๏ธ Least gym-going visitors

#CityGym / strength
1๐Ÿ‡ณ๐Ÿ‡ฑ The Hague32%
2๐Ÿ‡ฌ๐Ÿ‡ง Glasgow32%
3๐Ÿ‡น๐Ÿ‡ท Izmir33%
4๐Ÿ‡ฎ๐Ÿ‡ฉ Yogyakarta34%
5๐Ÿ‡บ๐Ÿ‡ฟ Tashkent35%
6๐Ÿ‡ณ๐Ÿ‡ด Bergen35%
7๐Ÿ‡ง๐Ÿ‡ฌ Plovdiv35%
8๐Ÿ‡ฎ๐Ÿ‡ณ Jaipur35%
9๐Ÿ‡ฌ๐Ÿ‡ง Belfast35%
10๐Ÿ‡ง๐Ÿ‡พ Minsk35%
11๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende36%
12๐Ÿ‡ฆ๐Ÿ‡ท Ushuaia36%
13๐Ÿ‡ง๐Ÿ‡ฆ Mostar36%
14๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty36%
15๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo36%
16๐Ÿ‡ท๐Ÿ‡ธ Novi Sad36%
17๐Ÿ‡จ๐Ÿ‡ณ Chengdu36%
18๐Ÿ‡ต๐Ÿ‡ช Arequipa36%
19๐Ÿ‡น๐Ÿ‡ญ Chiang Rai36%
20๐Ÿ‡ซ๐Ÿ‡ท Lyon36%
21๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan36%
22๐Ÿ‡ฌ๐Ÿ‡ง Edinburgh37%
23๐Ÿ‡ฒ๐Ÿ‡ฆ Fes37%
24๐Ÿ‡จ๐Ÿ‡ฑ San Pedro de Atacama37%
25๐Ÿ‡ง๐Ÿ‡ท Foz do Iguaรงu37%
26๐Ÿ‡ฒ๐Ÿ‡ฝ San Cristรณbal de las Casas37%
27๐Ÿ‡จ๐Ÿ‡ญ Bern38%
28๐Ÿ‡ฌ๐Ÿ‡ฎ Gibraltar38%
29๐Ÿ‡จ๐Ÿ‡ฆ Quebec City38%
30๐Ÿ‡ฆ๐Ÿ‡ท Cordoba38%
Share of visiting nomads into gym & strength trainingn=149,762 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 Mendoza72%
2๐Ÿ‡ฆ๐Ÿ‡ท Cordoba65%
3๐Ÿ‡จ๐Ÿ‡บ Havana65%
4๐Ÿ‡ป๐Ÿ‡ณ Hue65%
5๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik65%
6๐Ÿ‡ฎ๐Ÿ‡ช Dublin65%
7๐Ÿ‡ต๐Ÿ‡ญ Boracay65%
8๐Ÿ‡บ๐Ÿ‡พ Montevideo65%
9๐Ÿ‡ฌ๐Ÿ‡ง Manchester64%
10๐Ÿ‡ฎ๐Ÿ‡น Florence64%
11๐Ÿ‡ฆ๐Ÿ‡ท Bariloche64%
12๐Ÿ‡จ๐Ÿ‡ด Santa Marta64%
13๐Ÿ‡ฉ๐Ÿ‡ช Cologne64%
14๐Ÿ‡ฒ๐Ÿ‡ฝ Isla Mujeres64%
15๐Ÿ‡ช๐Ÿ‡จ Quito64%
16๐Ÿ‡ฒ๐Ÿ‡ฝ Cancun64%
17๐Ÿ‡ต๐Ÿ‡ท San Juan64%
18๐Ÿ‡ญ๐Ÿ‡ท Split64%
19๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown64%
20๐Ÿ‡ป๐Ÿ‡ฆ Vatican City64%
21๐Ÿ‡ช๐Ÿ‡ธ Seville63%
22๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik63%
23๐Ÿ‡ฌ๐Ÿ‡น Antigua63%
24๐Ÿ‡ฏ๐Ÿ‡ต Sapporo63%
25๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara63%
26๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura63%
27๐Ÿ‡ฌ๐Ÿ‡ท Chania63%
28๐Ÿ‡ฎ๐Ÿ‡น Genoa63%
29๐Ÿ‡น๐Ÿ‡ญ Ko Lanta63%
30๐Ÿ‡ช๐Ÿ‡จ Cuenca63%
Share of visiting nomads who like alcoholn=149,762 nomads

๐Ÿšฑ Most sober visitors

#CityDrinks
1๐Ÿ‡จ๐Ÿ‡ณ Shenzhen48%
2๐Ÿ‡ต๐Ÿ‡น Portimรฃo50%
3๐Ÿ‡ฎ๐Ÿ‡น Lake Como50%
4๐Ÿ‡น๐Ÿ‡ณ Tunis51%
5๐Ÿ‡บ๐Ÿ‡ธ Honolulu51%
6๐Ÿ‡ณ๐Ÿ‡ฑ Utrecht51%
7๐Ÿ‡ท๐Ÿ‡บ Moscow51%
8๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru51%
9๐Ÿ‡จ๐Ÿ‡ณ Guangzhou51%
10๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi52%
11๐Ÿ‡บ๐Ÿ‡ธ Portland52%
12๐Ÿ‡ฒ๐Ÿ‡ฉ Chisinau52%
13๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta52%
14๐Ÿ‡ฒ๐Ÿ‡ช Podgorica52%
15๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud52%
16๐Ÿ‡ด๐Ÿ‡ฒ Muscat53%
17๐Ÿ‡ฎ๐Ÿ‡ฉ Sanur53%
18๐Ÿ‡ง๐Ÿ‡พ Minsk53%
19๐Ÿ‡ฆ๐Ÿ‡ช Dubai53%
20๐Ÿ‡ฉ๐Ÿ‡ช Stuttgart53%
21๐Ÿ‡ธ๐Ÿ‡ป San Salvador53%
22๐Ÿ‡ฐ๐Ÿ‡ท Seoul53%
23๐Ÿ‡บ๐Ÿ‡ธ Austin53%
24๐Ÿ‡ท๐Ÿ‡ด Timisoara53%
25๐Ÿ‡จ๐Ÿ‡ญ Geneva54%
26๐Ÿ‡จ๐Ÿ‡ณ Shanghai54%
27๐Ÿ‡บ๐Ÿ‡ธ Dallas54%
28๐Ÿ‡ฐ๐Ÿ‡ท Busan54%
29๐Ÿ‡ต๐Ÿ‡ญ Manila54%
30๐Ÿ‡ฎ๐Ÿ‡ฉ Yogyakarta54%
Share of visiting nomads who like alcoholn=149,762 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 Ibiza28%
2๐Ÿ‡ฌ๐Ÿ‡ท Mykonos25%
3๐Ÿ‡ญ๐Ÿ‡ท Hvar24%
4๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro22%
5๐Ÿ‡ฒ๐Ÿ‡ฆ Tangier22%
6๐Ÿ‡ฌ๐Ÿ‡น Guatemala City22%
7๐Ÿ‡ญ๐Ÿ‡ท Split21%
8๐Ÿ‡จ๐Ÿ‡ด Cartagena21%
9๐Ÿ‡จ๐Ÿ‡ด Santa Marta21%
10๐Ÿ‡ฎ๐Ÿ‡ณ Goa21%
11๐Ÿ‡จ๐Ÿ‡บ Havana21%
12๐Ÿ‡ง๐Ÿ‡ท Salvador21%
13๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan21%
14๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi21%
15๐Ÿ‡น๐Ÿ‡ญ Pattaya21%
16๐Ÿ‡น๐Ÿ‡ญ Ko Tao21%
17๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum20%
18๐Ÿ‡จ๐Ÿ‡ด Bogota20%
19๐Ÿ‡ฒ๐Ÿ‡ฆ Fes20%
20๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo20%
21๐Ÿ‡ฎ๐Ÿ‡ฉ Gili Air20%
22๐Ÿ‡จ๐Ÿ‡ฆ Montreal20%
23๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai20%
24๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen20%
25๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar20%
26๐Ÿ‡ฒ๐Ÿ‡จ Monaco20%
27๐Ÿ‡จ๐Ÿ‡ด Medellรญn20%
28๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas20%
29๐Ÿ‡ฎ๐Ÿ‡ฉ Seminyak20%
30๐Ÿ‡ง๐Ÿ‡ท Sรฃo Paulo20%
Share of visiting nomads who like partyingn=149,762 nomads

๐Ÿ˜ด Quietest visitors

#CityParties
1๐Ÿ‡ธ๐Ÿ‡ช Malmรถ10%
2๐Ÿ‡ฉ๐Ÿ‡ช Hamburg10%
3๐Ÿ‡ฎ๐Ÿ‡ฉ Sanur10%
4๐Ÿ‡ท๐Ÿ‡ธ Novi Sad10%
5๐Ÿ‡ฎ๐Ÿ‡น Lake Como11%
6๐Ÿ‡จ๐Ÿ‡ณ Chengdu11%
7๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw11%
8๐Ÿ‡บ๐Ÿ‡ธ Dallas11%
9๐Ÿ‡ง๐Ÿ‡พ Minsk12%
10๐Ÿ‡ง๐Ÿ‡ช Antwerp12%
11๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan12%
12๐Ÿ‡ฎ๐Ÿ‡น Verona12%
13๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek12%
14๐Ÿ‡บ๐Ÿ‡ฟ Tashkent12%
15๐Ÿ‡ฒ๐Ÿ‡ฆ Essaouira12%
16๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama12%
17๐Ÿ‡ธ๐Ÿ‡ช Gothenburg12%
18๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi13%
19๐Ÿ‡บ๐Ÿ‡ธ Denver13%
20๐Ÿ‡ณ๐Ÿ‡ด Bergen13%
21๐Ÿ‡น๐Ÿ‡ญ Chiang Rai13%
22๐Ÿ‡ฎ๐Ÿ‡ฑ Jerusalem13%
23๐Ÿ‡ต๐Ÿ‡พ Asuncion13%
24๐Ÿ‡ด๐Ÿ‡ฒ Muscat13%
25๐Ÿ‡ฌ๐Ÿ‡ง Glasgow13%
26๐Ÿ‡ฆ๐Ÿ‡น Salzburg13%
27๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende13%
28๐Ÿ‡ง๐Ÿ‡ฌ Plovdiv13%
29๐Ÿ‡บ๐Ÿ‡ธ Houston13%
30๐Ÿ‡บ๐Ÿ‡ธ Seattle13%
Share of visiting nomads who like partyingn=149,762 nomads


Where do single nomads travel?

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

๐Ÿ’˜ Most single visitors

#CitySingle
1๐Ÿ‡จ๐Ÿ‡ด Medellรญn79%
2๐Ÿ‡ต๐Ÿ‡ญ Cebu77%
3๐Ÿ‡ช๐Ÿ‡จ Quito75%
4๐Ÿ‡ฐ๐Ÿ‡ช Nairobi74%
5๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro74%
6๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Escondido74%
7๐Ÿ‡จ๐Ÿ‡ด Cartagena74%
8๐Ÿ‡ฌ๐Ÿ‡น Antigua74%
9๐Ÿ‡ต๐Ÿ‡ฆ Panama City74%
10๐Ÿ‡ช๐Ÿ‡ธ Ibiza74%
11๐Ÿ‡จ๐Ÿ‡ท San Josรฉ74%
12๐Ÿ‡ช๐Ÿ‡ฌ Cairo73%
13๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires73%
14๐Ÿ‡ง๐Ÿ‡ท Florianopolis73%
15๐Ÿ‡ต๐Ÿ‡ช Lima73%
16๐Ÿ‡ง๐Ÿ‡ฌ Bansko73%
17๐Ÿ‡ต๐Ÿ‡ญ Manila73%
18๐Ÿ‡ฏ๐Ÿ‡ด Amman72%
19๐Ÿ‡ช๐Ÿ‡ธ Valencia72%
20๐Ÿ‡ต๐Ÿ‡พ Asuncion72%
21๐Ÿ‡ต๐Ÿ‡ช Cusco72%
22๐Ÿ‡น๐Ÿ‡ผ Taipei72%
23๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu72%
24๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City72%
25๐Ÿ‡ง๐Ÿ‡ท Sรฃo Paulo72%
26๐Ÿ‡ช๐Ÿ‡ธ Gran Canaria72%
27๐Ÿ‡ญ๐Ÿ‡ท Zagreb72%
28๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka72%
29๐Ÿ‡ฆ๐Ÿ‡ฑ Tirana72%
30๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen72%
Share of visiting nomads who are singlen=70,085 nomads

๐Ÿ’ Most coupled-up visitors

#CitySingle
1๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi58%
2๐Ÿ‡ป๐Ÿ‡ฆ Vatican City60%
3๐Ÿ‡ฆ๐Ÿ‡น Salzburg60%
4๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt61%
5๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo61%
6๐Ÿ‡จ๐Ÿ‡พ Larnaca61%
7๐Ÿ‡ฒ๐Ÿ‡พ Penang61%
8๐Ÿ‡บ๐Ÿ‡ธ Seattle61%
9๐Ÿ‡น๐Ÿ‡ญ Krabi61%
10๐Ÿ‡ง๐Ÿ‡ช Bruges62%
11๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi62%
12๐Ÿ‡น๐Ÿ‡ญ Ko Lanta62%
13๐Ÿ‡ท๐Ÿ‡บ Moscow62%
14๐Ÿ‡ณ๐Ÿ‡ด Oslo62%
15๐Ÿ‡ฒ๐Ÿ‡น Sliema62%
16๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg63%
17๐Ÿ‡จ๐Ÿ‡บ Havana63%
18๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong63%
19๐Ÿ‡บ๐Ÿ‡ธ Orlando63%
20๐Ÿ‡ฉ๐Ÿ‡ช Cologne63%
21๐Ÿ‡น๐Ÿ‡ท Antalya63%
22๐Ÿ‡ฎ๐Ÿ‡น Milan63%
23๐Ÿ‡บ๐Ÿ‡ธ Los Angeles63%
24๐Ÿ‡บ๐Ÿ‡ธ Las Vegas63%
25๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty63%
26๐Ÿ‡ฉ๐Ÿ‡ช Hamburg63%
27๐Ÿ‡ง๐Ÿ‡ช Brussels64%
28๐Ÿ‡ซ๐Ÿ‡ท Paris64%
29๐Ÿ‡ถ๐Ÿ‡ฆ Doha64%
30๐Ÿ‡จ๐Ÿ‡ฆ Vancouver64%
Share of visiting nomads who are singlen=70,085 nomads


The overall mix: attractive, rich & educated

A blended 0-100 score of the visiting nomads to each city, combining how attractive theyโ€™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‡จ๐Ÿ‡ญ Geneva88%
2๐Ÿ‡จ๐Ÿ‡ญ Zurich87%
3๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro80%
4๐Ÿ‡บ๐Ÿ‡ธ Boston79%
5๐Ÿ‡จ๐Ÿ‡ฆ Montreal78%
6๐Ÿ‡บ๐Ÿ‡ธ New York City77%
7๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town76%
8๐Ÿ‡ฎ๐Ÿ‡น Palermo75%
9๐Ÿ‡บ๐Ÿ‡ธ Austin74%
10๐Ÿ‡ต๐Ÿ‡น Madeira74%
11๐Ÿ‡ฎ๐Ÿ‡น Naples74%
12๐Ÿ‡ง๐Ÿ‡ท Florianopolis71%
13๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum70%
14๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt68%
15๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik68%
16๐Ÿ‡บ๐Ÿ‡ธ San Francisco67%
17๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg67%
18๐Ÿ‡ฉ๐Ÿ‡ช Munich67%
19๐Ÿ‡ต๐Ÿ‡น Lisbon66%
20๐Ÿ‡ฉ๐Ÿ‡ช Hamburg66%
21๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen66%
22๐Ÿ‡ฉ๐Ÿ‡ฐ Copenhagen65%
23๐Ÿ‡ธ๐Ÿ‡ช Stockholm65%
24๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca64%
25๐Ÿ‡ฆ๐Ÿ‡บ Sydney64%
26๐Ÿ‡จ๐Ÿ‡ฆ Vancouver64%
27๐Ÿ‡บ๐Ÿ‡ธ Miami64%
28๐Ÿ‡ฒ๐Ÿ‡ฆ Marrakesh63%
29๐Ÿ‡ช๐Ÿ‡ธ Gran Canaria62%
30๐Ÿ‡บ๐Ÿ‡ธ San Diego61%
Blend of attractiveness, income & education of visiting nomadsn=46,182 nomads

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

#CityScore
1๐Ÿ‡น๐Ÿ‡ญ Pattaya4%
2๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta6%
3๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo7%
4๐Ÿ‡ป๐Ÿ‡ณ Da Nang8%
5๐Ÿ‡ต๐Ÿ‡ญ Manila13%
6๐Ÿ‡ต๐Ÿ‡ญ Cebu14%
7๐Ÿ‡ป๐Ÿ‡ณ Hanoi15%
8๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur16%
9๐Ÿ‡ป๐Ÿ‡ฆ Vatican City18%
10๐Ÿ‡ฆ๐Ÿ‡ฑ Tirana18%
11๐Ÿ‡ป๐Ÿ‡ณ Ho Chi Minh City19%
12๐Ÿ‡ฎ๐Ÿ‡ฉ Seminyak19%
13๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka20%
14๐Ÿ‡น๐Ÿ‡ญ Phuket22%
15๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh22%
16๐Ÿ‡ฏ๐Ÿ‡ต Osaka23%
17๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty25%
18๐Ÿ‡ฐ๐Ÿ‡ท Busan26%
19๐Ÿ‡น๐Ÿ‡ญ Krabi27%
20๐Ÿ‡ป๐Ÿ‡ณ Hoi An27%
21๐Ÿ‡บ๐Ÿ‡พ Montevideo28%
22๐Ÿ‡ฐ๐Ÿ‡ญ Siem Reap28%
23๐Ÿ‡ท๐Ÿ‡ธ Belgrade29%
24๐Ÿ‡ต๐Ÿ‡พ Asuncion29%
25๐Ÿ‡ญ๐Ÿ‡บ Budapest29%
26๐Ÿ‡ถ๐Ÿ‡ฆ Doha30%
27๐Ÿ‡น๐Ÿ‡ผ Taipei31%
28๐Ÿ‡น๐Ÿ‡ท Antalya31%
29๐Ÿ‡ซ๐Ÿ‡ท Marseille32%
30๐Ÿ‡ธ๐Ÿ‡ฐ Bratislava32%
Blend of attractiveness, income & education of visiting nomadsn=46,182 nomads


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