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The 2026 State of Digital Nomads

Explore the world


Who is the average nomad in 2026?

๐Ÿ‘ถ 37-year old

๐Ÿณ๏ธโ€๐ŸŒˆ Progressive

๐Ÿ’ซ Not religious

๐Ÿ˜Ž Single

โœ‹๐Ÿป White

๐Ÿ‘‹ Heterosexual

๐Ÿ‘จ โ€ Man

๐ŸŽ“ with a
Bachelor's

๐Ÿ’ป works as a
Software Dev

๐Ÿก from
a Home office

๐Ÿ’ฐ makes
$85,000 / y

โ˜•๏ธ loves
Coffee

๐Ÿฅฉ eats meat

๐Ÿฅพ works out by
Hiking

๐Ÿ‡ฏ๐Ÿ‡ต loves
Tokyo most

๐Ÿ’‰ is vaccinated

๐Ÿƒ produces 72% less COโ‚‚

4๏ธโƒฃ and stays for
4 months

n=42,543


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: 56 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
6%
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=983

โ›ณ๏ธ Nomads by nationality

# Country People %
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 55,238,616 42%
2 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 8,978,882 7%
3 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 5,992,243 5%
4 ๐Ÿ‡ท๐Ÿ‡บ Russia 5,788,393 4%
5 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 5,447,062 4%
6 ๐Ÿ‡ซ๐Ÿ‡ท France 4,546,330 3%
7 ๐Ÿ‡ง๐Ÿ‡ท Brazil 3,474,932 3%
8 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 3,067,232 2%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 2,413,015 2%
10 ๐Ÿ‡ช๐Ÿ‡ธ Spain 2,375,090 2%
11 ๐Ÿ‡ฎ๐Ÿ‡ณ India 2,213,906 2%
12 ๐Ÿ‡ฎ๐Ÿ‡น Italy 1,891,539 1%
13 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine 1,886,798 1%
14 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1,573,912 1%
15 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 1,332,136 1%
16 ๐Ÿ‡ฆ๐Ÿ‡น Austria 995,547 1%
17 ๐Ÿ‡น๐Ÿ‡ท Turkey 971,843 1%
18 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 943,399 1%
19 ๐Ÿ‡ธ๐Ÿ‡ช Sweden 924,436 1%
20 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland 895,992 1%
21 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel 810,659 1%
22 ๐Ÿ‡ง๐Ÿ‡ช Belgium 786,956 1%
23 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 758,512 1%
24 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 744,290 1%
25 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 706,364 1%
26 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 696,883 1%
27 ๐Ÿ‡ต๐Ÿ‡น Portugal 692,142 1%
28 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 692,142 1%
29 ๐Ÿ‡ท๐Ÿ‡ด Romania 654,216 1%
30 ๐Ÿ‡จ๐Ÿ‡ณ China 616,291 0%
n=27,482

๐Ÿ‘ถ Nomads by gender

Gender %
๐Ÿ‘จโ€ Men
66%
๐Ÿ‘ฑโ€โ™€๏ธ Women
34%
๐Ÿง‘ Other
0%
active last 365d, n=11,164

๐Ÿ‘€ Nomads by sexuality

Sexuality %
๐Ÿ‘‹ Heterosexual
87%
๐Ÿฆ„ Bisexual
8%
๐Ÿณ๏ธโ€๐ŸŒˆ Gay or lesbian
5%
n=17,054

๐Ÿ™ Nomads by beliefs

Religion %
๐Ÿ’ซ Not religious
51%
๐Ÿ™ Spirituality
28%
โ›ช๏ธ Christianity
10%
๐Ÿ™ Buddhism
3%
๐Ÿ•Œ Islam
2%
โœจ Astrology
2%
๐Ÿ• Judaism
2%
๐Ÿ•‰ Hinduism
1%
๐Ÿ‘ณ Sikhism
0%
n=8,975

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=8,143

๐ŸŽ“ Education

Education %
๐ŸšŒ High School
9%
๐ŸŽ“ Higher education
91%
๐Ÿ“œ Bachelor's
53%
๐ŸŽ“ Master's
34%
๐Ÿ‘ฉโ€๐Ÿซ PhD
3%
n=18,697

โค๏ธ Nomads by relationship

Relationship %
๐Ÿ˜Ž Single
67%
๐Ÿ˜ In a relationship
33%
n=10,537

๐Ÿ‘€ Nomads looking for

Looking for %
๐Ÿค Friends
35%
๐ŸŽ’ Travel buddies
32%
๐Ÿน Casual dating
15%
โค๏ธ Relationship
13%
๐Ÿ‘ Poly dating
4%
n=62,920

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 $124,521 / y
Median $85,000 / y
n=5,611

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=7,145


๐Ÿก Where do nomads work from

Place %
๐Ÿก Home office
58%
๐Ÿฌ Coworking
15%
โ˜•๏ธ Cafe
8%
๐Ÿข Office
7%
๐Ÿ›‹ Couch
3%
๐Ÿฝ Dining table
3%
๐Ÿ› Bed
2%
๐Ÿช‘ Balcony
1%
๐Ÿš Van
1%
๐Ÿ”ช Kitchen
0%
๐Ÿชด Garden
0%
๐Ÿ’ฆ Pool
0%
๐Ÿ›ฅ Boat
0%
๐Ÿ“š Library
0%
n=5,958

๐Ÿ’ฌ What messaging apps nomads use?

Messaging app %
Telegram
50%
Whatsapp
44%
Snapchat
3%
Facebook
2%
WeChat
0%
LINE
0%
Slack
0%
n=5,881


โš–๏ธ Nomad men by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
45%
โš–๏ธ Non-progressive
55%
๐Ÿ—ฝ Libertarian
27%
โš–๏ธ Centrist
21%
๐Ÿ‘ด Conservative
7%
n=3,697

โš–๏ธ Nomad women by politics

Politics %
๐Ÿณ๏ธโ€๐ŸŒˆ Progressive
71%
โš–๏ธ Non-progressive
29%
๐Ÿ—ฝ Libertarian
13%
โš–๏ธ Centrist
13%
๐Ÿ‘ด Conservative
3%
n=908


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=8,122


๐Ÿ• Nomad men by diet

Diet %
๐Ÿฅฉ Eats meat
77%
๐Ÿšซ Does not eat meat
23%
๐Ÿฅ‘ Vegan
10%
๐Ÿฅ’ Vegetarian
10%
๐ŸŸ Pescetarian
4%
n=5,803

๐Ÿ• Nomad women by diet

Diet %
๐Ÿฅฉ Eats meat
58%
๐Ÿšซ Does not eat meat
42%
๐Ÿฅ’ Vegetarian
18%
๐Ÿฅ‘ Vegan
14%
๐ŸŸ Pescetarian
10%
n=1,319


How do nomads work out?

๐Ÿฅพ Hiking

๐Ÿ’ช Fitness

๐Ÿƒ Running

๐Ÿคธโ€โ™€๏ธ Yoga

๐ŸŠ Swimming

๐Ÿšด Cycling

n=16,034


๐Ÿ˜… Nomad men by sports

Sport %
๐Ÿ’ช Fitness
49%
๐Ÿฅพ Hiking
47%
๐Ÿƒ Running
29%
๐Ÿšด Cycling
24%
๐ŸŠ Swimming
23%
๐Ÿคธโ€โ™€๏ธ Yoga
20%
๐Ÿ„ Surfing
18%
๐ŸŒŠ Diving
15%
โ›ฐ Climbing
15%
๐Ÿ‚ Snowboarding
15%
โ›ท Skiing
15%
๐ŸŽพ Tennis
14%
๐Ÿ Motorcycling
13%
๐Ÿ’ช Fight sports
11%
๐Ÿ“ Table tennis
9%
n=11,249

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=2,797


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=421,583


๐Ÿ˜ Most liked cities by men

# City Rating
1 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur 4.55
2 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo 4.44
3 ๐Ÿ‡ญ๐Ÿ‡บ Budapest 4.44
4 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai 4.29
5 ๐Ÿ‡จ๐Ÿ‡ฟ Prague 4.29
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 4.29
7 ๐Ÿ‡ช๐Ÿ‡ธ Madrid 4.29
8 ๐Ÿ‡ต๐Ÿ‡ฑ Krakรณw 4.17
9 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 4.17
10 ๐Ÿ‡ฏ๐Ÿ‡ต Osaka 4.17
11 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam 4.17
12 ๐Ÿ‡ฌ๐Ÿ‡น Antigua 4.17
13 ๐Ÿ‡ฌ๐Ÿ‡ง London 4.00
14 ๐Ÿ‡บ๐Ÿ‡ธ New York City 4.00
15 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud 4.00
n=6,801

๐Ÿ˜ Most liked cities by women

# City Rating
1 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City 3.33
n=6,801


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 0.82%
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=421,583

๐ŸŒŽ Most visited countries

# Country % visited
1 ๐Ÿ‡บ๐Ÿ‡ธ United States 13%
2 ๐Ÿ‡น๐Ÿ‡ญ Thailand 5%
3 ๐Ÿ‡ช๐Ÿ‡ธ Spain 5%
4 ๐Ÿ‡ฉ๐Ÿ‡ช Germany 4%
5 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 4%
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 3%
7 ๐Ÿ‡ซ๐Ÿ‡ท France 3%
8 ๐Ÿ‡ฎ๐Ÿ‡น Italy 3%
9 ๐Ÿ‡ต๐Ÿ‡น Portugal 3%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Indonesia 2%
11 ๐Ÿ‡ง๐Ÿ‡ท Brazil 2%
12 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 2%
13 ๐Ÿ‡จ๐Ÿ‡ฆ Canada 2%
14 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 2%
15 ๐Ÿ‡ป๐Ÿ‡ณ Vietnam 2%
16 ๐Ÿ‡ท๐Ÿ‡บ Russia 2%
17 ๐Ÿ‡น๐Ÿ‡ท Turkey 2%
18 ๐Ÿ‡จ๐Ÿ‡ด Colombia 1%
19 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 1%
20 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia 1%
21 ๐Ÿ‡ฆ๐Ÿ‡บ Australia 1%
22 ๐Ÿ‡ฎ๐Ÿ‡ณ India 1%
23 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 1%
24 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina 1%
25 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 1%
26 ๐Ÿ‡จ๐Ÿ‡ณ China 1%
27 ๐Ÿ‡ฆ๐Ÿ‡น Austria 1%
28 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates 1%
29 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore 1%
30 ๐Ÿ‡ญ๐Ÿ‡ท Croatia 1%
n=421,583

๐Ÿƒ Avg. COโ‚‚ by member traveling

Year COโ‚‚
2013
677 kg/y
2014
985 kg/y
2015
1,076 kg/y
2016
1,287 kg/y
2017
1,466 kg/y
2018
1,544 kg/y
2019
1,582 kg/y
2020
997 kg/y
2021
1,003 kg/y
2022
1,571 kg/y
2023
1,736 kg/y
2024
1,699 kg/y
2025
1,603 kg/y
2026
1,977 kg/y
Average 1,308 kg/y
Median 1,376 kg/y
Based on 421,583 trips by 16,055 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 -21%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris -21%
6 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai -4%
7 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam +4%
8 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin -3%
9 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu -1%
10 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo +15%
11 ๐Ÿ‡น๐Ÿ‡ท Istanbul +8%
12 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore +14%
13 ๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur +27%
14 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City -20%
15 ๐Ÿ‡ญ๐Ÿ‡บ Budapest +19%
median temp=18°C; n=421,583

๐Ÿ‘ฑโ€โ™€๏ธ Where women go most

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ‡ต๐Ÿ‡น Lisbon +19%
2 ๐Ÿ‡ฌ๐Ÿ‡ง London +27%
3 ๐Ÿ‡น๐Ÿ‡ญ Bangkok -18%
4 ๐Ÿ‡ช๐Ÿ‡ธ Barcelona +12%
5 ๐Ÿ‡ซ๐Ÿ‡ท Paris +27%
6 ๐Ÿ‡น๐Ÿ‡ญ Chiang Mai +4%
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City +25%
8 ๐Ÿ‡ฉ๐Ÿ‡ช Berlin +3%
9 ๐Ÿ‡ณ๐Ÿ‡ฑ Amsterdam -4%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu +1%
11 ๐Ÿ‡ฎ๐Ÿ‡น Rome +26%
12 ๐Ÿ‡น๐Ÿ‡ท Istanbul -7%
13 ๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud +30%
14 ๐Ÿ‡ฏ๐Ÿ‡ต Tokyo -13%
15 ๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires +7%
median temp=18°C; n=421,583


๐Ÿ‘จ Where men go more

# Tag vs. women
1 ๐Ÿ‡ท๐Ÿ‡บ Russia +83%
2 ๐Ÿ‡ต๐Ÿ‡ฑ Poland +68%
3 ๐Ÿ‡ท๐Ÿ‡ด Romania +52%
4 ๐Ÿ‡ฌ๐Ÿ‡ช Georgia +45%
5 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong +33%
6 ๐Ÿ‡ต๐Ÿ‡ญ Philippines +30%
7 ๐Ÿ‡จ๐Ÿ‡ณ China +28%
8 ๐Ÿ‡ท๐Ÿ‡ธ Serbia +26%
9 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates +25%
10 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia +24%
11 ๐Ÿ‡ฏ๐Ÿ‡ต Japan +23%
12 ๐Ÿ‡ญ๐Ÿ‡บ Hungary +19%
13 ๐Ÿ‡ณ๐Ÿ‡ด Norway +18%
14 ๐Ÿ‡ป๐Ÿ‡ณ Vietnam +18%
15 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia +17%
median temp=13°C; n=421,583

๐Ÿ‘ฑโ€โ™€๏ธ Where women go more

# Tag vs. men
1 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa +51%
2 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica +47%
3 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico +37%
4 ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom +29%
5 ๐Ÿ‡ญ๐Ÿ‡ท Croatia +25%
6 ๐Ÿ‡จ๐Ÿ‡ฑ Chile +23%
7 ๐Ÿ‡ซ๐Ÿ‡ท France +21%
8 ๐Ÿ‡ฎ๐Ÿ‡น Italy +18%
9 ๐Ÿ‡ฌ๐Ÿ‡ท Greece +14%
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‡บ๐Ÿ‡ธ United States +7%
median temp=18°C; n=421,583


๐Ÿ˜ Most liked countries

# Country Rating
1 ๐Ÿ‡ฏ๐Ÿ‡ต Japan 4.8
2 ๐Ÿ‡ญ๐Ÿ‡บ Hungary 4.7
3 ๐Ÿ‡จ๐Ÿ‡ฟ Czechia 4.55
4 ๐Ÿ‡ญ๐Ÿ‡ท Croatia 4.55
5 ๐Ÿ‡ฑ๐Ÿ‡ป Latvia 4.5
6 ๐Ÿ‡ต๐Ÿ‡ฑ Poland 4.5
7 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 4.4
8 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland 4.35
9 ๐Ÿ‡ฐ๐Ÿ‡ฟ Kazakhstan 4.3
10 ๐Ÿ‡ฌ๐Ÿ‡น Guatemala 4.3
11 ๐Ÿ‡ช๐Ÿ‡ช Estonia 4.25
12 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 4.25
13 ๐Ÿ‡ฑ๐Ÿ‡น Lithuania 4.25
14 ๐Ÿ‡ท๐Ÿ‡บ Russia 4.25
15 ๐Ÿ‡ฌ๐Ÿ‡ท Greece 4.2
n=4,043

๐Ÿคฎ Least liked countries

# Country Rating
1 ๐Ÿ‡จ๐Ÿ‡บ Cuba 1
2 ๐Ÿ‡ฎ๐Ÿ‡ท Iran 1.65
3 ๐Ÿ‡ฌ๐Ÿ‡ฎ Gibraltar 1.65
4 ๐Ÿ‡ญ๐Ÿ‡ณ Honduras 1.65
5 ๐Ÿ‡จ๐Ÿ‡พ Cyprus 1.65
6 ๐Ÿ‡ฒ๐Ÿ‡น Malta 2.15
7 ๐Ÿ‡จ๐Ÿ‡ฑ Chile 2.25
8 ๐Ÿ‡ฑ๐Ÿ‡ฐ Sri Lanka 2.35
9 ๐Ÿ‡ธ๐Ÿ‡ด Somalia 2.5
10 ๐Ÿ‡ช๐Ÿ‡น Ethiopia 2.5
11 ๐Ÿ‡น๐Ÿ‡ฟ Tanzania 2.5
12 ๐Ÿ‡ธ๐Ÿ‡ณ Senegal 2.5
13 ๐Ÿ‡ฒ๐Ÿ‡ณ Mongolia 2.5
14 ๐Ÿ‡ป๐Ÿ‡ช Venezuela 2.5
15 ๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg 2.5
n=4,043


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=410,942

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

Duration %
< 7 days
0%
7 - 30 days
60%
30 - 90 days
27%
90+ days
13%
Average 126 days (4 months)
n=410,942





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=29,281


๐Ÿ‘จ Nomad men work as

# Work % vs. women
1 ๐Ÿ’ป Software Dev 33% +319%
2 ๐Ÿ“‡ Startup Founder 26% +174%
3 ๐Ÿ•ธ Web Dev 26% +347%
4 ๐Ÿ˜ Marketing 15% +20%
5 ๐Ÿ“Š SaaS 13% +259%
6 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 12% +1%
7 ๐ŸŽจ UI/UX Design 11% +71%
8 ๐Ÿค  Product Manager 10% +110%
9 ๐Ÿ“ฑ Mobile Dev 10% +439%
10 ๐Ÿ’ฐ Crypto 10% +350%
11 ๐Ÿ“ˆ Data 10% +141%
12 ๐Ÿ’ฐ Finance 9% +171%
13 ๐Ÿ›’ Ecommerce 8% +148%
14 ๐Ÿค‘ Sales 7% +117%
15 ๐Ÿ‘จโ€๐Ÿซ Education 6% +3%
n=22,911

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women work as

# Work % vs. men
1 ๐Ÿ˜ Marketing 12% -17%
2 ๐Ÿ‘ฉโ€๐ŸŽจ Creative 12% -1%
3 ๐Ÿ“‡ Startup Founder 10% -63%
4 ๐Ÿ’ป Software Dev 8% -76%
5 ๐ŸŽจ UI/UX Design 6% -41%
6 ๐Ÿค Community 6% +7%
7 ๐Ÿ•ธ Web Dev 6% -78%
8 ๐Ÿ‘จโ€๐Ÿซ Education 6% -3%
9 ๐Ÿ“ Blogging 6% 0%
10 ๐Ÿ‘Š Coach 5% +2%
11 ๐Ÿค  Product Manager 5% -52%
12 ๐Ÿ“ˆ Data 4% -59%
13 ๐Ÿ“Š SaaS 4% -72%
14 ๐Ÿ’ฐ Finance 3% -63%
15 ๐Ÿค‘ Sales 3% -54%
n=8,689


๐Ÿ‘จ Nomad men vs. women

# Tag vs. women
1 ๐Ÿ“ก Sysadmin +467%
2 ๐Ÿ“ฑ Mobile Dev +439%
3 ๐Ÿ—ƒ Dev Ops +435%
4 ๐Ÿ‘พ Game Dev +397%
5 ๐Ÿ’ฐ Crypto +350%
6 ๐Ÿ•ธ Web Dev +347%
7 ๐Ÿ’ป Software Dev +319%
8 ๐Ÿ“Š SaaS +259%
9 ๐Ÿ˜Ž VR Dev +247%
10 ๐Ÿค– AI model +203%
11 ๐Ÿ“ˆ Investor +203%
12 ๐Ÿ›ก๏ธ InfoSec +197%
13 ๐Ÿ“‡ Startup Founder +174%
14 ๐Ÿ’ฐ Finance +171%
15 ๐Ÿƒ Sports +163%
n=29,281

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. men
1 ๐Ÿ‘ธ House wife +296%
2 ๐Ÿ‘— Tradwife +164%
3 ๐Ÿง‘โ€๐Ÿ’ผ Human resources +53%
4 ๐Ÿฅ Healthcare +49%
5 ๐ŸŽ“ Student +48%
6 ๐Ÿ“น Content Creator +43%
7 ๐ŸŒพ Farm life +32%
8 ๐Ÿณ Chef +32%
9 ๐Ÿ“ฐ Journalism +29%
10 ๐Ÿง  Psychologist +25%
11 ๐ŸŽจ Artist +20%
12 ๐Ÿ™‚ Support +19%
13 ๐Ÿ‘จโ€โš•๏ธ Medical +9%
14 ๐Ÿ‘‹ Hospitality +8%
15 ๐Ÿค Community +7%
n=29,281


How do nomads describe themselves?

โ˜•๏ธ Coffee

๐Ÿ‡ฌ๐Ÿ‡ง Speaks English

๐Ÿ™‚ Optimist

โ›ฐ Outdoors

๐Ÿ’‰ COVID vaccinated

๐Ÿฅพ Hiking

n=29,281


๐Ÿ‘จโ€ Nomad men

# Tag % vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 โ˜•๏ธ Coffee 37% +58%
2 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 31% +49%
3 ๐Ÿ™‚ Optimist 30% +60%
4 ๐Ÿ’ช Fitness 25% +84%
5 ๐Ÿ’‰ COVID vaccinated 25% +49%
6 โ›ฐ Outdoors 25% +32%
7 ๐Ÿฅพ Hiking 24% +45%
8 ๐Ÿถ Dogs 24% +34%
9 ๐Ÿ˜Ž Single 24% +61%
10 ๐Ÿง  Open-minded 23% +48%
11 โ˜€๏ธ Waking up early 23% +57%
12 ๐Ÿบ Beer 23% +179%
13 ๐ŸŒ™ Staying up late 22% +93%
14 ๐Ÿ“– Reading 22% +34%
15 ๐Ÿท Wine 21% +25%
n=22,911

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women

# Tag % vs. ๐Ÿ‘จโ€
1 โ˜•๏ธ Coffee 23% -37%
2 ๐Ÿ‡ฌ๐Ÿ‡ง Speaks English 21% -33%
3 ๐Ÿ™‚ Optimist 19% -37%
4 โ›ฐ Outdoors 19% -24%
5 ๐Ÿถ Dogs 18% -25%
6 ๐Ÿท Wine 17% -20%
7 ๐Ÿฅพ Hiking 17% -31%
8 ๐Ÿ’‰ COVID vaccinated 17% -33%
9 ๐Ÿ“– Reading 16% -26%
10 ๐Ÿง  Open-minded 16% -33%
11 ๐Ÿต Tea 16% -19%
12 ๐Ÿคธโ€โ™€๏ธ Yoga 15% +40%
13 ๐Ÿ˜Ž Single 15% -38%
14 โ˜€๏ธ Waking up early 15% -36%
15 ๐Ÿ’ช Fitness 14% -46%
n=8,689


๐Ÿ‘จ Nomad men vs. women

# Tag vs. ๐Ÿ‘ฑโ€โ™€๏ธ
1 ๐Ÿง” Have a beard +1,815%
2 ๐Ÿ‘จ No beard +524%
3 โšฝ๏ธ Football +448%
4 ๐Ÿ’ Ice hockey +366%
5 ๐Ÿง‘โ€ Short hair +327%
6 ๐Ÿช‚ Dropout +298%
7 ๐Ÿ Motorcycling +291%
8 ๐ŸŽ Race sports +275%
9 ๐Ÿ€ Basketball +271%
10 โ™Ÿ๏ธ Chess +265%
11 ๐Ÿ’ช Fight sports +253%
12 ๐Ÿ“ Table tennis +252%
13 ๐Ÿ‘ด Conservative politics +235%
14 ๐ŸŽง Hardstyle music +232%
15 ๐Ÿ—ฝ Libertarian politics +221%
n=29,281

๐Ÿ‘ฑโ€โ™€๏ธ Nomad women vs. men

# Tag vs. ๐Ÿ‘จ
1 ๐Ÿ’„ Makeup +2,754%
2 ๐Ÿคธโ€โ™€๏ธ Pilates +838%
3 ๐Ÿ‘ฑโ€โ™€๏ธ Long hair +248%
4 ๐Ÿ‘— Dress up +167%
5 โœจ Astrology +160%
6 ๐Ÿ’ช Feminism +142%
7 ๐Ÿถ Pottery +137%
8 ๐Ÿ’ƒ Fashion +133%
9 ๐Ÿฆพ Disabled +113%
10 โœจ Believe in astrology +102%
11 ๐Ÿข Slowmad +79%
12 ๐Ÿ— Vintage +76%
13 ๐ŸŸฅ Red hair +72%
14 ๐ŸŽจ Drawing +65%
15 ๐Ÿ’ƒ Dancing +54%
n=29,281




๐Ÿ’‰ Nomads by vaccination

Vaccinated %
๐Ÿ’‰ COVID vaccinated
92%
๐Ÿ’‰ Not COVID vaccinated
8%
n=8,365

๐Ÿ’‰ Vaccination (men)

Vaccinated%
๐Ÿ’‰ Vaccinated
92%
๐Ÿ’‰ Not vaccinated
8%
n=6,004

๐Ÿ’‰ Vaccination (women)

Vaccinated%
๐Ÿ’‰ Vaccinated
94%
๐Ÿ’‰ Not vaccinated
6%
n=1,535

โค๏ธ Nomads by family

Relationship %
โค๏ธ Close to parents
82%
๐Ÿ’” Not close to parents
18%
n=2,470

๐Ÿ‘ถ Nomads by childhood

Childhood %
๐Ÿ˜Š Happy childhood
89%
๐Ÿ˜” Unhappy childhood
11%
n=2,669

๐Ÿ‘จ Childhood (men)

Childhood%
๐Ÿ˜Š Happy childhood
90%
๐Ÿ˜” Unhappy childhood
10%
n=1,966

๐Ÿ‘ฉ Childhood (women)

Childhood%
๐Ÿ˜Š Happy childhood
87%
๐Ÿ˜” Unhappy childhood
13%
n=435

๐Ÿก Homeownership amongst nomads

Homeownership %
๐Ÿก Homeowner
55%
๐Ÿก Not a homeowner
45%
n=2,874


What are the traits of attractive nomads?

Attractiveness is based on the proportion of people liking or disliking a person based on their photo on Nomads.com's dating app. It does not show any of these traits in their profile when they rate them. People who are rated as attractive based on their photo are more likely to have these traits. TL;DR hot people have specific traits, but those specific traits don't necessarily make you hot (you could always try though).

๐Ÿง’ Only child

๐Ÿ˜ In a relationship

๐Ÿ’” My parents separated

๐Ÿ Volleyball

๐Ÿ› Shopping

n=29,281


๐Ÿ‘จโ€ Most attractive men's traits

# Tag Diff
1 ๐Ÿ˜ In a relationship +136%
2 ๐Ÿก Homeowner +70%
3 โœจ Believe in astrology +62%
4 ๐Ÿ’‰ Not COVID vaccinated +61%
5 ๐Ÿ‰ Rugby +60%
6 ๐Ÿฅš Soft boiled eggs +60%
7 ๐Ÿ€ Basketball +58%
8 ๐ŸŽง Hiphop music +57%
9 ๐Ÿธ Padel +56%
10 ๐Ÿ’ฌ ๐• +55%
11 ๐Ÿ‘ถ Parent +53%
12 ๐Ÿ‚ Skateboarding +53%
13 ๐Ÿก Not a homeowner +51%
14 ๐Ÿง— Bouldering +50%
15 ๐Ÿ’ฅ Messy +49%
16 ๐ŸŽง Dubstep music +48%
17 ๐ŸŒŠ Free diving +48%
18 ๐Ÿ‡ฏ๐Ÿ‡ฒ Reggae music +46%
19 ๐Ÿง‘โ€ Short hair +45%
20 ๐Ÿ‹๏ธโ€ Weightlifting +45%
21 ๐Ÿ’‰ COVID vaccinated +45%
22 ๐Ÿ’ช Crossfit +45%
23 โšฝ๏ธ Football +44%
24 โ›ณ๏ธ Golf +43%
25 ๐ŸŽ Kitesurfing +42%
26 ๐Ÿ„ Surfing +42%
27 ๐Ÿ iPhone +41%
28 ๐Ÿ‘ถ Middle child +40%
29 โค๏ธ Happy childhood +40%
30 ๐ŸŽง House music +40%
n=29,281

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

# Tag Diff
1 ๐Ÿง’ Only child +328%
2 ๐Ÿ Volleyball +299%
3 ๐Ÿ’” My parents separated +297%
4 ๐Ÿ› Shopping +286%
5 ๐Ÿงผ Clean freak +252%
6 ๐ŸŽพ Tennis +249%
7 ๐Ÿƒ Running +247%
8 ๐Ÿšฌ Social smoker +222%
9 ๐Ÿ“ Table tennis +221%
10 ๐Ÿ˜ In a relationship +211%
11 ๐ŸŸ Pescetarian +202%
12 โ›ท Skiing +201%
13 ๐Ÿ‘จโ€๐ŸŽค Partying +200%
14 โฌœ๏ธ Has no tattoos +186%
15 ๐Ÿ„ Surfing +180%
16 ๐Ÿ’„ Makeup +180%
17 ๐Ÿฅš Hard boiled eggs +177%
18 ๐Ÿšด Cycling +176%
19 ๐Ÿ Motorcycling +172%
20 ๐Ÿบ Beer +168%
21 ๐ŸŒ™ Staying up late +162%
22 ๐ŸŠ Swimming +159%
23 ๐ŸŽž Film making +158%
24 ๐Ÿ’ซ Not religious +155%
25 โšฝ๏ธ Football +154%
26 ๐ŸŽค Singing +153%
27 โ›ฑ Beach +152%
28 ๐ŸŒŠ Diving +152%
29 โœจ Astrology +151%
30 ๐Ÿš Vanlife +149%
n=29,281


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

๐ŸŽค Podcast

๐Ÿ”๏ธ Live in the mountains

๐ŸŒธ Anime

๐Ÿ— Vintage

๐Ÿคธโ€โ™€๏ธ Pilates

n=29,281


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

# Tag Diff
1 ๐Ÿ˜ˆ FetLife -2,374%
2 ๐ŸŽค Podcast -2,042%
3 ๐Ÿ”๏ธ Live in the mountains -1,266%
4 ๐Ÿ— Vintage -676%
5 ๐Ÿ’„ Makeup -528%
6 ๐ŸŽญ Acting -528%
7 ๐Ÿ’ƒ Fashion -528%
8 ๐Ÿ’ƒ Hiphop dance -491%
9 ๐Ÿช‚ Skydiving -413%
10 ๐Ÿถ Pottery -269%
11 ๐Ÿคธโ€โ™€๏ธ Pilates -232%
12 ๐ŸŽณ Bowling -230%
13 ๐Ÿšซ Teetotaler -195%
14 ๐Ÿ‡ฐ๐Ÿ‡ท K-pop music -170%
15 ๐Ÿคฟ Snorkeling -161%
16 ๐ŸŽง Garage music -109%
17 ๐Ÿก Architecture -91%
18 ๐Ÿช‚ Paragliding -78%
19 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -77%
20 ๐ŸŽง Trance music -61%
21 ๐Ÿ’ฌ TikTok -59%
22 ๐Ÿ˜Ž Single -55%
23 ๐Ÿ Cricket -50%
24 ๐ŸŒธ Anime -50%
25 ๐Ÿ„ Bodyboarding -48%
26 ๐Ÿ‘จโ€๐Ÿฆฒ Bald -42%
27 ๐Ÿ“” Religious -41%
28 ๐ŸŽญ Swinging -40%
29 โšพ๏ธ Baseball -40%
30 ๐Ÿš Urbex -39%
n=29,281

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

# Tag Diff
1 ๐Ÿ’ฅ Messy -1,627%
2 ๐ŸŒธ Anime -1,051%
3 ๐Ÿง Pessimist -763%
4 ๐Ÿšฌ Daily smoker -743%
5 ๐Ÿข Slowmad -681%
6 ๐Ÿง— Bouldering -578%
7 ๐Ÿคธโ€โ™€๏ธ Pilates -558%
8 ๐Ÿ‘ด Conservative politics -496%
9 ๐Ÿ’ฆ Still water -496%
10 ๐Ÿงฌ Longevity -373%
11 ๐ŸŽค Podcast -311%
12 ๐Ÿ’ฆ Sparkling water -311%
13 ๐Ÿ’ฌ Snapchat -291%
14 ๐Ÿš Creatine -208%
15 ๐Ÿ’ƒ Fashion -208%
16 ๐Ÿ’ฌ TikTok -208%
17 ๐Ÿ— Vintage -188%
18 ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Hang gliding -147%
19 ๐Ÿ˜ˆ FetLife -126%
20 ๐Ÿ‡ต๐Ÿ‡ท Reggaeton music -126%
21 ๐Ÿ’… Nails -126%
22 ๐Ÿ„ Bodyboarding -85%
23 ๐Ÿ”๏ธ Live in the mountains -85%
24 ๐Ÿถ Pottery -85%
25 โœจ Believe in astrology -65%
26 ๐Ÿงถ Knitting -64%
27 ๐Ÿ‘ Field hockey -44%
28 ๐Ÿ“ Pickleball -44%
29 ๐Ÿ’Ž Jewelry -44%
30 ๐Ÿ‡ง๐Ÿ‡ท Brazil funk -44%
n=29,281


What are the jobs of attractive nomads?

Attractiveness is based on the proportion of people liking or disliking a person based on their photo on Nomads.com's dating app. That does NOT mean people like or dislike specific jobs. It's that people who are rated as attractive are more likely to work in speciifc industries. TL;DR hot people work in specific industries, but those specific industries don't necessarily make you hot (you could always try though).

๐Ÿ“ž Recruitment

๐Ÿ“ฑ Mobile Dev

๐Ÿ‘Š Coach

๐Ÿค Community

๐Ÿ“Š SaaS

๐ŸŽจ UI/UX Design

n=29,281


๐Ÿ‘จโ€ Attractive men's jobs

# Tag Diff
1 ๐Ÿ‘จโ€โš•๏ธ Medical +81%
2 ๐Ÿ“ž Recruitment +54%
3 ๐ŸŽจ UI/UX Design +49%
4 ๐Ÿ“Š SaaS +47%
5 ๐Ÿšš Logistics +44%
6 ๐Ÿง  Psychologist +43%
7 ๐Ÿ‘Š Coach +41%
8 ๐Ÿค  Product Manager +38%
9 ๐Ÿ“ธ Model +37%
10 ๐Ÿ›’ Ecommerce +33%
11 ๐Ÿ—ƒ Dev Ops +29%
12 ๐Ÿ“‡ Startup Founder +27%
13 ๐Ÿ“ฑ Mobile Dev +24%
14 ๐Ÿ’ช Fitness +24%
15 ๐Ÿ˜ Marketing +24%
16 ๐Ÿ˜Ž VR Dev +22%
17 ๐Ÿ“ˆ Data +21%
18 ๐Ÿค‘ Sales +19%
19 ๐Ÿ’ป Software Dev +18%
20 ๐Ÿ‘พ Game Dev +15%
21 ๐Ÿ•ธ Web Dev +12%
22 ๐Ÿ“ก Sysadmin +11%
23 ๐Ÿ“ Blogging +9%
24 ๐Ÿ‘จโ€๐Ÿซ Education +7%
25 ๐Ÿค Community +6%
26 ๐Ÿ’ฐ Finance +6%
27 ๐Ÿƒ Sports +5%
28 ๐Ÿค Consulting +5%
n=29,281

๐Ÿ‘ฑโ€โ™€๏ธ Attractive women's jobs

# Tag Diff
1 ๐Ÿ“ฑ Mobile Dev +214%
2 ๐Ÿ“ž Recruitment +194%
3 ๐Ÿค Community +149%
4 ๐Ÿ‘Š Coach +124%
5 ๐Ÿ‘ฉโ€๐ŸŽจ Creative +115%
6 ๐Ÿ“ Blogging +108%
7 ๐Ÿ“ฐ Journalism +107%
8 ๐Ÿ“Š SaaS +95%
9 ๐ŸŽจ UI/UX Design +87%
10 ๐Ÿ’ป Software Dev +85%
11 ๐Ÿ’ฐ Finance +85%
12 ๐Ÿ“‡ Startup Founder +81%
13 ๐Ÿ›’ Ecommerce +76%
14 ๐Ÿ˜ Marketing +74%
15 ๐Ÿ‘จโ€๐Ÿซ Education +73%
16 ๐Ÿค  Product Manager +63%
17 ๐Ÿ•ธ Web Dev +37%
n=29,281


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ฅ Healthcare

๐Ÿšฉ Politics

๐Ÿ”ฌ Science

๐ŸŽ“ Student

โœˆ๏ธ Aviation

๐ŸŽจ Artist

n=29,281


๐Ÿ‘จโ€ Most unattractive men's jobs

# Tag Diff
1 ๐Ÿฅ Healthcare -1,008%
2 ๐Ÿ”ฌ Science -1,008%
3 ๐ŸŽ“ Student -823%
4 โœˆ๏ธ Aviation -417%
5 ๐ŸŒพ Farm life -269%
6 ๐Ÿ“น Content Creator -195%
7 ๐Ÿณ Chef -195%
8 ๐Ÿšฉ Politics -162%
9 ๐Ÿ‘ฉโ€๐Ÿ’ผ Law -141%
10 ๐Ÿ  Real estate -92%
11 ๐ŸŽจ Artist -66%
12 ๐Ÿ“ฐ Journalism -61%
13 ๐Ÿก Architecture -48%
14 ๐ŸŒถ Adult -34%
15 ๐Ÿ™‚ Support -14%
16 ๐Ÿ—บ Geo -13%
17 ๐Ÿ›ก๏ธ InfoSec -12%
18 ๐Ÿค– AI model -5%
19 ๐Ÿ‘‹ Hospitality -4%
n=29,281

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

# Tag Diff
1 ๐Ÿšฉ Politics -1,030%
2 ๐Ÿ˜Ž VR Dev -476%
3 ๐ŸŽจ Artist -332%
4 ๐Ÿฅ Healthcare -249%
5 ๐Ÿ  Real estate -208%
6 ๐ŸŽต Music -188%
7 ๐Ÿ“ˆ Investor -188%
8 ๐Ÿ›ก๏ธ InfoSec -147%
9 ๐Ÿค– AI model -126%
10 ๐Ÿƒ Sports -112%
11 ๐Ÿ‘‹ Hospitality -82%
12 ๐Ÿ’ผ Retired -64%
13 ๐Ÿ”ฌ Science -64%
14 ๐Ÿค Consulting -40%
15 ๐Ÿ“ˆ Data -21%
16 ๐Ÿ™‚ Support -4%
n=29,281


Where do attractive people go?

๐Ÿ‘จโ€ Where attractive men travel to

# City Attractiveness
1 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 5
2 ๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu 4.67
3 ๐Ÿ‡ต๐Ÿ‡น Ericeira 4.67
4 ๐Ÿ‡ธ๐Ÿ‡ช Malmรถ 4.67
5 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 4.64
6 ๐Ÿ‡ณ๐Ÿ‡ฟ Christchurch 4.61
7 ๐Ÿ‡จ๐Ÿ‡ท Tamarindo 4.58
8 ๐Ÿ‡ช๐Ÿ‡ธ Ibiza 4.55
9 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.52
10 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas 4.51
11 ๐Ÿ‡บ๐Ÿ‡ธ Boston 4.51
12 ๐Ÿ‡ณ๐Ÿ‡ด Bergen 4.49
13 ๐Ÿ‡ณ๐Ÿ‡ฑ Utrecht 4.45
14 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.42
15 ๐Ÿ‡ฎ๐Ÿ‡น Catania 4.39
16 ๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik 4.39
17 ๐Ÿ‡ณ๐Ÿ‡ฟ Auckland 4.37
18 ๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown 4.37
19 ๐Ÿ‡น๐Ÿ‡ญ Ko Lanta 4.37
20 ๐Ÿ‡ฆ๐Ÿ‡บ Melbourne 4.36
21 ๐Ÿ‡ต๐Ÿ‡น Portimรฃo 4.36
22 ๐Ÿ‡บ๐Ÿ‡ฟ Tashkent 4.34
23 ๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo 4.34
24 ๐Ÿ‡ฌ๐Ÿ‡ท Santorini 4.33
25 ๐Ÿ‡ช๐Ÿ‡ธ Mallorca 4.32
26 ๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro 4.32
27 ๐Ÿ‡ฌ๐Ÿ‡ง Manchester 4.31
28 ๐Ÿ‡ง๐Ÿ‡ช Bruges 4.31
29 ๐Ÿ‡ช๐Ÿ‡ธ Tenerife 4.31
30 ๐Ÿ‡ฉ๐Ÿ‡ช Stuttgart 4.31
Based on attractiveness of visitors n=421,583

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

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi 5
2 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 4.8
3 ๐Ÿ‡ฎ๐Ÿ‡น Genoa 4.8
4 ๐Ÿ‡ฉ๐Ÿ‡ช Dresden 4.71
5 ๐Ÿ‡ต๐Ÿ‡ฑ Gdansk 4.7
6 ๐Ÿ‡ญ๐Ÿ‡ท Zadar 4.7
7 ๐Ÿ‡บ๐Ÿ‡ธ Orlando 4.69
8 ๐Ÿ‡ฑ๐Ÿ‡ฐ Galle 4.63
9 ๐Ÿ‡ป๐Ÿ‡ณ Nha Trang 4.61
10 ๐Ÿ‡ท๐Ÿ‡บ Moscow 4.61
11 ๐Ÿ‡ณ๐Ÿ‡ฑ Rotterdam 4.61
12 ๐Ÿ‡บ๐Ÿ‡ฆ Kyiv 4.6
13 ๐Ÿ‡น๐Ÿ‡ญ Ko Samui 4.59
14 ๐Ÿ‡จ๐Ÿ‡ฑ Valparaรญso 4.59
15 ๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan 4.58
16 ๐Ÿ‡ป๐Ÿ‡ณ Da Lat 4.57
17 ๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu 4.57
18 ๐Ÿ‡ฒ๐Ÿ‡ช Budva 4.56
19 ๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana 4.56
20 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 4.56
21 ๐Ÿ‡ฑ๐Ÿ‡น Vilnius 4.55
22 ๐Ÿ‡ฆ๐Ÿ‡บ Cairns 4.54
23 ๐Ÿ‡น๐Ÿ‡ท Izmir 4.54
24 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 4.53
25 ๐Ÿ‡ฌ๐Ÿ‡ท Rhodes 4.53
26 ๐Ÿ‡ฎ๐Ÿ‡น Amalfi 4.52
27 ๐Ÿ‡ซ๐Ÿ‡ท Cannes 4.52
28 ๐Ÿ‡ฎ๐Ÿ‡น Milan 4.51
29 ๐Ÿ‡บ๐Ÿ‡ธ Miami 4.51
30 ๐Ÿ‡ณ๐Ÿ‡ฑ The Hague 4.51
Based on attractiveness of visitors n=421,583


And where do unattractive people go?

๐Ÿ‘จโ€ Where unattractive men travel to

# City Attractiveness
1 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 3.27
2 ๐Ÿ‡ฎ๐Ÿ‡ณ Goa 3.38
3 ๐Ÿ‡ฎ๐Ÿ‡ฑ Jerusalem 3.5
4 ๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel 3.5
5 ๐Ÿ‡บ๐Ÿ‡ธ Houston 3.5
6 ๐Ÿ‡ฒ๐Ÿ‡ช Podgorica 3.5
7 ๐Ÿ‡ต๐Ÿ‡พ Asuncion 3.5
8 ๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru 3.53
9 ๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty 3.54
10 ๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai 3.54
11 ๐Ÿ‡ณ๐Ÿ‡ต Kathmandu 3.56
12 ๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane 3.57
13 ๐Ÿ‡ฏ๐Ÿ‡ต Hiroshima 3.57
14 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 3.59
15 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.59
16 ๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh 3.59
17 ๐Ÿ‡ช๐Ÿ‡ธ Alicante 3.62
18 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.64
19 ๐Ÿ‡ต๐Ÿ‡ท San Juan 3.64
20 ๐Ÿ‡ท๐Ÿ‡บ Moscow 3.65
21 ๐Ÿ‡น๐Ÿ‡ญ Hua Hin 3.66
22 ๐Ÿ‡บ๐Ÿ‡ฆ Lviv 3.68
23 ๐Ÿ‡ช๐Ÿ‡ฌ Cairo 3.68
24 ๐Ÿ‡ด๐Ÿ‡ฒ Muscat 3.68
25 ๐Ÿ‡ฒ๐Ÿ‡ฉ Chisinau 3.68
26 ๐Ÿ‡ช๐Ÿ‡ธ Bilbao 3.71
27 ๐Ÿ‡ฎ๐Ÿ‡ฉ Kuta 3.71
28 ๐Ÿ‡ฌ๐Ÿ‡ช Batumi 3.71
29 ๐Ÿ‡บ๐Ÿ‡ธ Seattle 3.72
30 ๐Ÿ‡ป๐Ÿ‡ณ Nha Trang 3.72
Based on unattractiveness of visitors n=421,583

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

# City Attractiveness
1 ๐Ÿ‡ต๐Ÿ‡พ Asuncion 3.12
2 ๐Ÿ‡ช๐Ÿ‡จ Quito 3.16
3 ๐Ÿ‡ณ๐Ÿ‡ฟ Wellington 3.28
4 ๐Ÿ‡ฐ๐Ÿ‡ช Nairobi 3.31
5 ๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama 3.36
6 ๐Ÿ‡ฆ๐Ÿ‡บ Perth 3.36
7 ๐Ÿ‡ต๐Ÿ‡ท San Juan 3.37
8 ๐Ÿ‡จ๐Ÿ‡ฆ Quebec City 3.38
9 ๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka 3.39
10 ๐Ÿ‡ฌ๐Ÿ‡ง Glasgow 3.46
11 ๐Ÿ‡ฌ๐Ÿ‡ง Liverpool 3.46
12 ๐Ÿ‡จ๐Ÿ‡ณ Macau 3.47
13 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 3.48
14 ๐Ÿ‡ฏ๐Ÿ‡ด Amman 3.49
15 ๐Ÿ‡จ๐Ÿ‡ณ Shenzhen 3.5
16 ๐Ÿ‡ช๐Ÿ‡จ Cuenca 3.53
17 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 3.53
18 ๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown 3.54
19 ๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo 3.55
20 ๐Ÿ‡ฒ๐Ÿ‡ฝ Merida 3.56
21 ๐Ÿ‡จ๐Ÿ‡ด Bogota 3.56
22 ๐Ÿ‡บ๐Ÿ‡ธ New Orleans 3.57
23 ๐Ÿ‡ฉ๐Ÿ‡ช Dusseldorf 3.59
24 ๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo 3.61
25 ๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo 3.62
26 ๐Ÿ‡จ๐Ÿ‡ณ Guangzhou 3.62
27 ๐Ÿ‡ฐ๐Ÿ‡ท Jeju Island 3.64
28 ๐Ÿ‡จ๐Ÿ‡ด Santa Marta 3.64
29 ๐Ÿ‡ต๐Ÿ‡ฆ Panama City 3.64
30 ๐Ÿ‡ฏ๐Ÿ‡ฒ Montego Bay 3.66
Based on unattractiveness of visitors n=421,583



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 45%
3 ๐Ÿ‡ต๐Ÿ‡น Madeira 44%
4 ๐Ÿ‡บ๐Ÿ‡ธ Boston 44%
5 ๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura 43%
6 ๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg 43%
7 ๐Ÿ‡ฑ๐Ÿ‡ง Beirut 43%
8 ๐Ÿ‡ฒ๐Ÿ‡ฉ Chisinau 43%
9 ๐Ÿ‡ฌ๐Ÿ‡ช Batumi 43%
10 ๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw 43%
11 ๐Ÿ‡ฒ๐Ÿ‡ฆ Taghazout 43%
12 ๐Ÿ‡จ๐Ÿ‡ญ Geneva 43%
13 ๐Ÿ‡ต๐Ÿ‡น Azores 43%
14 ๐Ÿ‡ช๐Ÿ‡ธ Lanzarote 43%
15 ๐Ÿ‡ท๐Ÿ‡ด Brasov 42%
16 ๐Ÿ‡ฎ๐Ÿ‡น Genoa 42%
17 ๐Ÿ‡จ๐Ÿ‡พ Limassol 42%
18 ๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo 42%
19 ๐Ÿ‡ช๐Ÿ‡ช Tallinn 42%
20 ๐Ÿ‡ฆ๐Ÿ‡ฉ Andorra la Vella 42%
21 ๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama 42%
22 ๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan 42%
23 ๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana 42%
24 ๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek 42%
25 ๐Ÿ‡น๐Ÿ‡ณ Tunis 42%
26 ๐Ÿ‡ฎ๐Ÿ‡น Turin 42%
27 ๐Ÿ‡ต๐Ÿ‡ฑ Gdansk 42%
28 ๐Ÿ‡จ๐Ÿ‡ญ Zurich 42%
29 ๐Ÿ‡ช๐Ÿ‡ธ Bilbao 42%
30 ๐Ÿ‡ฌ๐Ÿ‡ท Thessaloniki 42%
Share of visiting nomads with a graduate degree n=123,581 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‡จ๐Ÿ‡ท Tamarindo 27%
4 ๐Ÿ‡ฒ๐Ÿ‡ฆ Tangier 27%
5 ๐Ÿ‡น๐Ÿ‡ญ Krabi 28%
6 ๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita 29%
7 ๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara 29%
8 ๐Ÿ‡จ๐Ÿ‡ณ Guangzhou 29%
9 ๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende 30%
10 ๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta 30%
11 ๐Ÿ‡ฏ๐Ÿ‡ต Hiroshima 31%
12 ๐Ÿ‡บ๐Ÿ‡ธ Atlanta 31%
13 ๐Ÿ‡บ๐Ÿ‡ธ Houston 31%
14 ๐Ÿ‡ฌ๐Ÿ‡ท Mykonos 31%
15 ๐Ÿ‡ฌ๐Ÿ‡น Antigua 31%
16 ๐Ÿ‡น๐Ÿ‡ญ Ao Nang 31%
17 ๐Ÿ‡ฎ๐Ÿ‡ฉ Seminyak 31%
18 ๐Ÿ‡ฒ๐Ÿ‡ฝ San Cristรณbal de las Casas 32%
19 ๐Ÿ‡ฏ๐Ÿ‡ต Osaka 32%
20 ๐Ÿ‡ฆ๐Ÿ‡บ Brisbane 32%
21 ๐Ÿ‡จ๐Ÿ‡ท Santa Teresa 32%
22 ๐Ÿ‡น๐Ÿ‡ญ Pattaya 32%
23 ๐Ÿ‡ป๐Ÿ‡ณ Hue 32%
24 ๐Ÿ‡น๐Ÿ‡ญ Pai 32%
25 ๐Ÿ‡จ๐Ÿ‡ฆ Calgary 32%
26 ๐Ÿ‡ฆ๐Ÿ‡บ Perth 32%
27 ๐Ÿ‡น๐Ÿ‡ผ Taipei 32%
28 ๐Ÿ‡ช๐Ÿ‡ธ San Sebastian 32%
29 ๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane 32%
30 ๐Ÿ‡ต๐Ÿ‡ญ Cebu 32%
Share of visiting nomads with a graduate degree n=123,581 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‡บ๐Ÿ‡ฟ Tashkent33 yrs
2๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty33 yrs
3๐Ÿ‡ฎ๐Ÿ‡น Pisa33 yrs
4๐Ÿ‡น๐Ÿ‡ท Ankara33 yrs
5๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu34 yrs
6๐Ÿ‡ต๐Ÿ‡ฑ Warsaw34 yrs
7๐Ÿ‡จ๐Ÿ‡ณ Guangzhou34 yrs
8๐Ÿ‡จ๐Ÿ‡ณ Chengdu34 yrs
9๐Ÿ‡ฆ๐Ÿ‡ท Bariloche34 yrs
10๐Ÿ‡ต๐Ÿ‡ฑ Poznan34 yrs
11๐Ÿ‡ฌ๐Ÿ‡ช Batumi34 yrs
12๐Ÿ‡ฌ๐Ÿ‡ง Oxford34 yrs
13๐Ÿ‡ฌ๐Ÿ‡ช Kutaisi34 yrs
14๐Ÿ‡ต๐Ÿ‡ญ Siargao34 yrs
15๐Ÿ‡น๐Ÿ‡ท Antalya34 yrs
16๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan34 yrs
17๐Ÿ‡จ๐Ÿ‡ฟ Brno34 yrs
18๐Ÿ‡จ๐Ÿ‡ญ Interlaken34 yrs
19๐Ÿ‡ฎ๐Ÿ‡น Milan34 yrs
20๐Ÿ‡ธ๐Ÿ‡ช Gothenburg34 yrs
21๐Ÿ‡ฌ๐Ÿ‡ง Cambridge34 yrs
22๐Ÿ‡ซ๐Ÿ‡ท Chamonix34 yrs
23๐Ÿ‡ถ๐Ÿ‡ฆ Doha34 yrs
24๐Ÿ‡บ๐Ÿ‡ธ Raleigh34 yrs
25๐Ÿ‡บ๐Ÿ‡ธ Detroit34 yrs
26๐Ÿ‡ฒ๐Ÿ‡ป Male34 yrs
27๐Ÿ‡ป๐Ÿ‡ฆ Vatican City34 yrs
28๐Ÿ‡ท๐Ÿ‡บ Sochi34 yrs
29๐Ÿ‡บ๐Ÿ‡ธ Philadelphia34.5 yrs
30๐Ÿ‡ฒ๐Ÿ‡ช Podgorica34.5 yrs
Median age of visiting nomads (locals excluded)n=196,532 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‡บ๐Ÿ‡ธ Kansas City38 yrs
6๐Ÿ‡น๐Ÿ‡ญ Hua Hin38 yrs
7๐Ÿ‡ฒ๐Ÿ‡ฝ Merida38 yrs
8๐Ÿ‡จ๐Ÿ‡ท Puerto Viejo38 yrs
9๐Ÿ‡ง๐Ÿ‡ท Fortaleza38 yrs
10๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara38 yrs
11๐Ÿ‡จ๐Ÿ‡ฆ Quebec City38 yrs
12๐Ÿ‡บ๐Ÿ‡ธ Oakland38 yrs
13๐Ÿ‡น๐Ÿ‡ญ Ko Lanta38 yrs
14๐Ÿ‡ง๐Ÿ‡ท Recife38 yrs
15๐Ÿ‡ช๐Ÿ‡จ Cuenca38 yrs
16๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel37.5 yrs
17๐Ÿ‡ต๐Ÿ‡ฆ Bocas del Toro37.5 yrs
18๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Vallarta37 yrs
19๐Ÿ‡ฑ๐Ÿ‡ง Beirut37 yrs
20๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita37 yrs
21๐Ÿ‡จ๐Ÿ‡บ Havana37 yrs
22๐Ÿ‡น๐Ÿ‡ญ Ao Nang37 yrs
23๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane37 yrs
24๐Ÿ‡ฒ๐Ÿ‡ฝ Isla Mujeres37 yrs
25๐Ÿ‡ฒ๐Ÿ‡ฝ San Cristรณbal de las Casas37 yrs
26๐Ÿ‡ต๐Ÿ‡ญ Boracay37 yrs
27๐Ÿ‡ช๐Ÿ‡ธ Tarifa37 yrs
28๐Ÿ‡ฎ๐Ÿ‡ช Galway37 yrs
29๐Ÿ‡ฒ๐Ÿ‡พ Johor Bahru37 yrs
30๐Ÿ‡ฌ๐Ÿ‡ท Chania37 yrs
Median age of visiting nomads (locals excluded)n=196,532 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‡ฏ๐Ÿ‡ต Tokyo$100,000
3๐Ÿ‡บ๐Ÿ‡ธ New York City$100,000
4๐Ÿ‡จ๐Ÿ‡ฆ Toronto$100,000
5๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires$100,000
6๐Ÿ‡ณ๐Ÿ‡ฟ Auckland$100,000
7๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City$100,000
8๐Ÿ‡ฉ๐Ÿ‡ฐ Copenhagen$100,000
9๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana$100,000
10๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong$100,000
11๐Ÿ‡ฆ๐Ÿ‡บ Sydney$100,000
12๐Ÿ‡ฏ๐Ÿ‡ต Kyoto$100,000
13๐Ÿ‡ธ๐Ÿ‡ช Stockholm$100,000
14๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro$100,000
15๐Ÿ‡บ๐Ÿ‡ธ Chicago$100,000
16๐Ÿ‡ฎ๐Ÿ‡ณ Delhi$100,000
17๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town$100,000
18๐Ÿ‡จ๐Ÿ‡ด Medellรญn$100,000
19๐Ÿ‡จ๐Ÿ‡ฆ Montreal$100,000
20๐Ÿ‡ง๐Ÿ‡ท Florianopolis$100,000
21๐Ÿ‡จ๐Ÿ‡ญ Zurich$100,000
22๐Ÿ‡จ๐Ÿ‡ด Bogota$100,000
23๐Ÿ‡บ๐Ÿ‡ธ San Francisco$100,000
24๐Ÿ‡บ๐Ÿ‡ธ Boston$100,000
25๐Ÿ‡จ๐Ÿ‡ฆ Vancouver$100,000
26๐Ÿ‡ฆ๐Ÿ‡ช Dubai$100,000
27๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca$100,000
28๐Ÿ‡ฒ๐Ÿ‡ฆ Marrakesh$100,000
29๐Ÿ‡ซ๐Ÿ‡ท Nice$100,000
30๐Ÿ‡น๐Ÿ‡ผ Taipei$100,000
Median self-reported income of visiting nomadsn=45,870 nomads

๐Ÿช™ Lowest-earning visitors

#CityMedian income
1๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty$65,000
2๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan$70,000
3๐Ÿ‡ฌ๐Ÿ‡ช Batumi$70,000
4๐Ÿ‡ต๐Ÿ‡ญ Cebu$70,000
5๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh$72,500
6๐Ÿ‡ป๐Ÿ‡ณ Da Nang$72,500
7๐Ÿ‡น๐Ÿ‡ญ Pattaya$75,000
8๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan$75,000
9๐Ÿ‡ป๐Ÿ‡ณ Hoi An$75,000
10๐Ÿ‡น๐Ÿ‡ท Antalya$75,000
11๐Ÿ‡ง๐Ÿ‡ฌ Bansko$75,000
12๐Ÿ‡ฐ๐Ÿ‡ท Busan$75,000
13๐Ÿ‡ฒ๐Ÿ‡พ Penang$75,000
14๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur$75,000
15๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi$75,000
16๐Ÿ‡ฒ๐Ÿ‡ฐ Skopje$77,500
17๐Ÿ‡ป๐Ÿ‡ฆ Vatican City$80,000
18๐Ÿ‡น๐Ÿ‡ญ Ko Tao$80,000
19๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg$80,000
20๐Ÿ‡ช๐Ÿ‡ธ Tenerife$80,000
21๐Ÿ‡น๐Ÿ‡ญ Phuket$80,000
22๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta$80,000
23๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka$80,000
24๐Ÿ‡ฐ๐Ÿ‡ญ Siem Reap$80,000
25๐Ÿ‡ท๐Ÿ‡ธ Belgrade$80,000
26๐Ÿ‡ต๐Ÿ‡พ Asuncion$80,000
27๐Ÿ‡น๐Ÿ‡ญ Ko Lanta$80,000
28๐Ÿ‡น๐Ÿ‡ญ Krabi$80,000
29๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo$80,000
30๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud$80,000
Median self-reported income of visiting nomadsn=45,870 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 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‡บ๐Ÿ‡ธ Chicago94%
11๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo94%
12๐Ÿ‡ฎ๐Ÿ‡ฉ Gili Trawangan94%
13๐Ÿ‡จ๐Ÿ‡ฟ Brno94%
14๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar94%
15๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama94%
16๐Ÿ‡ช๐Ÿ‡ธ Tenerife94%
17๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu94%
18๐Ÿ‡บ๐Ÿ‡ธ Seattle94%
19๐Ÿ‡น๐Ÿ‡ญ Hua Hin94%
20๐Ÿ‡บ๐Ÿ‡ธ San Diego94%
21๐Ÿ‡ฆ๐Ÿ‡ช Dubai94%
22๐Ÿ‡ฎ๐Ÿ‡น Catania94%
23๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi94%
24๐Ÿ‡ฌ๐Ÿ‡ท Rhodes94%
25๐Ÿ‡บ๐Ÿ‡ธ New Orleans93%
26๐Ÿ‡ช๐Ÿ‡ฌ Dahab93%
27๐Ÿ‡ฎ๐Ÿ‡ฉ Kuta93%
28๐Ÿ‡น๐Ÿ‡ญ Ko Samui93%
29๐Ÿ‡น๐Ÿ‡ญ Pai93%
30๐Ÿ‡ป๐Ÿ‡ณ Da Nang93%
How mixed the visiting nomads’ nationalities aren=137,147 nomads

๐Ÿ“ Least international crowd

#CityNationality mix
1๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas45%
2๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende49%
3๐Ÿ‡ต๐Ÿ‡ท San Juan49%
4๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita58%
5๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Vallarta59%
6๐Ÿ‡ง๐Ÿ‡ธ Nassau63%
7๐Ÿ‡จ๐Ÿ‡ท Tamarindo65%
8๐Ÿ‡จ๐Ÿ‡ท Santa Teresa68%
9๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel68%
10๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara70%
11๐Ÿ‡ฌ๐Ÿ‡น Antigua71%
12๐Ÿ‡ช๐Ÿ‡จ Quito72%
13๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City74%
14๐Ÿ‡ฒ๐Ÿ‡ฝ Merida74%
15๐Ÿ‡จ๐Ÿ‡ด Medellรญn75%
16๐Ÿ‡จ๐Ÿ‡ฆ Vancouver75%
17๐Ÿ‡ฌ๐Ÿ‡น Guatemala City75%
18๐Ÿ‡ณ๐Ÿ‡ฎ San Juan del Sur76%
19๐Ÿ‡จ๐Ÿ‡ฆ Calgary77%
20๐Ÿ‡จ๐Ÿ‡ท San Josรฉ77%
21๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum77%
22๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik77%
23๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca77%
24๐Ÿ‡จ๐Ÿ‡ฆ Montreal78%
25๐Ÿ‡จ๐Ÿ‡ด Cali78%
26๐Ÿ‡ต๐Ÿ‡ฆ Bocas del Toro78%
27๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen79%
28๐Ÿ‡จ๐Ÿ‡ด Cartagena79%
29๐Ÿ‡ต๐Ÿ‡ช Lima80%
30๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown80%
How mixed the visiting nomads’ nationalities aren=137,147 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 Batumi68%
2๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty67%
3๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan63%
4๐Ÿ‡ท๐Ÿ‡ด Cluj63%
5๐Ÿ‡บ๐Ÿ‡ฟ Tashkent63%
6๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw63%
7๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek62%
8๐Ÿ‡จ๐Ÿ‡พ Larnaca62%
9๐Ÿ‡ง๐Ÿ‡พ Minsk61%
10๐Ÿ‡ป๐Ÿ‡ณ Da Lat61%
11๐Ÿ‡น๐Ÿ‡ผ Kaohsiung61%
12๐Ÿ‡ซ๐Ÿ‡ท Lyon61%
13๐Ÿ‡น๐Ÿ‡ญ Pattaya61%
14๐Ÿ‡ฏ๐Ÿ‡ต Hiroshima61%
15๐Ÿ‡ต๐Ÿ‡ฑ Krakรณw61%
16๐Ÿ‡น๐Ÿ‡ท Antalya60%
17๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar60%
18๐Ÿ‡ท๐Ÿ‡ธ Novi Sad60%
19๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka60%
20๐Ÿ‡ฏ๐Ÿ‡ต Osaka60%
21๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi60%
22๐Ÿ‡ท๐Ÿ‡บ Moscow59%
23๐Ÿ‡ท๐Ÿ‡ธ Belgrade59%
24๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru59%
25๐Ÿ‡ฒ๐Ÿ‡พ Langkawi59%
26๐Ÿ‡บ๐Ÿ‡ธ San Francisco59%
27๐Ÿ‡ณ๐Ÿ‡ฑ Utrecht59%
28๐Ÿ‡ณ๐Ÿ‡ด Oslo58%
29๐Ÿ‡ฒ๐Ÿ‡ช Budva58%
30๐Ÿ‡ฐ๐Ÿ‡ท Busan58%
Share of visiting nomads who are developersn=152,595 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 Domingo42%
7๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita42%
8๐Ÿ‡จ๐Ÿ‡ด Santa Marta42%
9๐Ÿ‡ฌ๐Ÿ‡น Antigua42%
10๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca42%
11๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Vallarta42%
12๐Ÿ‡จ๐Ÿ‡ท Santa Teresa42%
13๐Ÿ‡ฒ๐Ÿ‡ฝ Merida42%
14๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende43%
15๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town43%
16๐Ÿ‡ฑ๐Ÿ‡ง Beirut43%
17๐Ÿ‡ช๐Ÿ‡ธ San Sebastian44%
18๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana44%
19๐Ÿ‡ต๐Ÿ‡ฆ Bocas del Toro44%
20๐Ÿ‡ฏ๐Ÿ‡ด Amman44%
21๐Ÿ‡ฆ๐Ÿ‡ท El Calafate45%
22๐Ÿ‡ช๐Ÿ‡จ Quito45%
23๐Ÿ‡ต๐Ÿ‡ญ Siargao45%
24๐Ÿ‡ฐ๐Ÿ‡ช Nairobi45%
25๐Ÿ‡จ๐Ÿ‡บ Havana45%
26๐Ÿ‡ต๐Ÿ‡น Lagos45%
27๐Ÿ‡ฒ๐Ÿ‡ฆ Essaouira45%
28๐Ÿ‡ฌ๐Ÿ‡ท Mykonos45%
29๐Ÿ‡ช๐Ÿ‡ธ Ibiza46%
30๐Ÿ‡ฌ๐Ÿ‡ง Glasgow46%
Share of visiting nomads who are developersn=152,595 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‡จ๐Ÿ‡ณ Shenzhen46%
2๐Ÿ‡บ๐Ÿ‡ธ San Francisco46%
3๐Ÿ‡ช๐Ÿ‡ธ Marbella46%
4๐Ÿ‡บ๐Ÿ‡ธ Boston42%
5๐Ÿ‡ด๐Ÿ‡ฒ Muscat42%
6๐Ÿ‡ซ๐Ÿ‡ท Cannes41%
7๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong40%
8๐Ÿ‡ฆ๐Ÿ‡ช Dubai40%
9๐Ÿ‡ฆ๐Ÿ‡บ Perth40%
10๐Ÿ‡บ๐Ÿ‡ธ New Orleans40%
11๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi40%
12๐Ÿ‡บ๐Ÿ‡ฆ Kyiv40%
13๐Ÿ‡ฒ๐Ÿ‡จ Monaco40%
14๐Ÿ‡บ๐Ÿ‡ธ Las Vegas40%
15๐Ÿ‡ฎ๐Ÿ‡ณ Goa40%
16๐Ÿ‡บ๐Ÿ‡ธ Philadelphia40%
17๐Ÿ‡บ๐Ÿ‡ธ Los Angeles39%
18๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar39%
19๐Ÿ‡ถ๐Ÿ‡ฆ Doha39%
20๐Ÿ‡จ๐Ÿ‡พ Larnaca39%
21๐Ÿ‡ฎ๐Ÿ‡ฉ Sanur39%
22๐Ÿ‡จ๐Ÿ‡ณ Guangzhou39%
23๐Ÿ‡บ๐Ÿ‡ธ Dallas39%
24๐Ÿ‡ซ๐Ÿ‡ฎ Helsinki39%
25๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru39%
26๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu39%
27๐Ÿ‡ง๐Ÿ‡ธ Nassau39%
28๐Ÿ‡บ๐Ÿ‡ธ New York City39%
29๐Ÿ‡บ๐Ÿ‡ฆ Lviv38%
30๐Ÿ‡ช๐Ÿ‡ธ Bilbao38%
Share of visiting nomads who are foundersn=152,595 nomads

๐Ÿง‘โ€๐Ÿญ Fewest founders

#CityFounders
1๐Ÿ‡ฆ๐Ÿ‡ท El Calafate24%
2๐Ÿ‡ฆ๐Ÿ‡ท Bariloche25%
3๐Ÿ‡ฒ๐Ÿ‡ฝ Merida26%
4๐Ÿ‡ต๐Ÿ‡ช Arequipa26%
5๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara26%
6๐Ÿ‡ช๐Ÿ‡จ Cuenca27%
7๐Ÿ‡ฌ๐Ÿ‡ง Glasgow27%
8๐Ÿ‡ง๐Ÿ‡ฆ Mostar27%
9๐Ÿ‡ช๐Ÿ‡ธ Granada27%
10๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Escondido27%
11๐Ÿ‡จ๐Ÿ‡ท Puerto Viejo27%
12๐Ÿ‡ฆ๐Ÿ‡ท Mendoza27%
13๐Ÿ‡ฒ๐Ÿ‡ฝ San Cristรณbal de las Casas27%
14๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo27%
15๐Ÿ‡ฆ๐Ÿ‡ฑ Sarandรซ27%
16๐Ÿ‡ฒ๐Ÿ‡ฝ Cozumel28%
17๐Ÿ‡ฒ๐Ÿ‡ฝ Oaxaca28%
18๐Ÿ‡ช๐Ÿ‡จ Quito28%
19๐Ÿ‡ฐ๐Ÿ‡ท Busan28%
20๐Ÿ‡ณ๐Ÿ‡ฟ Christchurch28%
21๐Ÿ‡ง๐Ÿ‡ฌ Plovdiv28%
22๐Ÿ‡ฉ๐Ÿ‡ด Punta Cana28%
23๐Ÿ‡จ๐Ÿ‡ท Santa Teresa28%
24๐Ÿ‡ฒ๐Ÿ‡ช Kotor28%
25๐Ÿ‡บ๐Ÿ‡ธ Honolulu29%
26๐Ÿ‡จ๐Ÿ‡ด Santa Marta29%
27๐Ÿ‡ญ๐Ÿ‡ท Zadar29%
28๐Ÿ‡ต๐Ÿ‡ช Cusco29%
29๐Ÿ‡ฆ๐Ÿ‡ท Ushuaia29%
30๐Ÿ‡ฑ๐Ÿ‡ฆ Vientiane29%
Share of visiting nomads who are foundersn=152,595 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 Angeles36%
5๐Ÿ‡ฑ๐Ÿ‡ฐ Galle35%
6๐Ÿ‡จ๐Ÿ‡ณ Shanghai35%
7๐Ÿ‡ง๐Ÿ‡ช Antwerp35%
8๐Ÿ‡ซ๐Ÿ‡ท Cannes34%
9๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh34%
10๐Ÿ‡ฒ๐Ÿ‡ฆ Tangier34%
11๐Ÿ‡ง๐Ÿ‡ธ Nassau34%
12๐Ÿ‡ฒ๐Ÿ‡ฆ Essaouira34%
13๐Ÿ‡ฆ๐Ÿ‡บ Melbourne34%
14๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo34%
15๐Ÿ‡ฎ๐Ÿ‡ฉ Yogyakarta34%
16๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum34%
17๐Ÿ‡ฒ๐Ÿ‡พ Penang34%
18๐Ÿ‡ช๐Ÿ‡ธ Bilbao33%
19๐Ÿ‡ต๐Ÿ‡น Faro33%
20๐Ÿ‡น๐Ÿ‡ญ Chiang Rai33%
21๐Ÿ‡จ๐Ÿ‡ณ Beijing33%
22๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan33%
23๐Ÿ‡จ๐Ÿ‡ท Puerto Viejo33%
24๐Ÿ‡ณ๐Ÿ‡ฑ Rotterdam33%
25๐Ÿ‡จ๐Ÿ‡ณ Guangzhou33%
26๐Ÿ‡ต๐Ÿ‡น Albufeira33%
27๐Ÿ‡ฒ๐Ÿ‡พ Langkawi33%
28๐Ÿ‡น๐Ÿ‡ท Izmir33%
29๐Ÿ‡บ๐Ÿ‡ธ San Francisco33%
30๐Ÿ‡ฎ๐Ÿ‡น Naples33%
Share of visiting nomads who are designersn=152,595 nomads

๐Ÿ”ง Fewest designers

#CityDesigners
1๐Ÿ‡ต๐Ÿ‡พ Asuncion20%
2๐Ÿ‡บ๐Ÿ‡ธ Denver22%
3๐Ÿ‡จ๐Ÿ‡พ Limassol22%
4๐Ÿ‡ฆ๐Ÿ‡ฉ Andorra la Vella23%
5๐Ÿ‡ฆ๐Ÿ‡ท Ushuaia23%
6๐Ÿ‡ช๐Ÿ‡ฌ Dahab23%
7๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty24%
8๐Ÿ‡จ๐Ÿ‡พ Paphos24%
9๐Ÿ‡ฐ๐Ÿ‡ท Jeju Island24%
10๐Ÿ‡ญ๐Ÿ‡ท Zadar24%
11๐Ÿ‡ฎ๐Ÿ‡ฉ Sanur24%
12๐Ÿ‡ฒ๐Ÿ‡ช Podgorica24%
13๐Ÿ‡ฆ๐Ÿ‡ท El Calafate24%
14๐Ÿ‡ฑ๐Ÿ‡น Vilnius24%
15๐Ÿ‡ฎ๐Ÿ‡น Verona25%
16๐Ÿ‡ฌ๐Ÿ‡ท Rhodes25%
17๐Ÿ‡ง๐Ÿ‡พ Minsk25%
18๐Ÿ‡ฒ๐Ÿ‡ฆ Casablanca25%
19๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi25%
20๐Ÿ‡ง๐Ÿ‡ท Foz do Iguaรงu25%
21๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan25%
22๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo25%
23๐Ÿ‡จ๐Ÿ‡พ Larnaca25%
24๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek25%
25๐Ÿ‡ฆ๐Ÿ‡ท Mendoza25%
26๐Ÿ‡ฌ๐Ÿ‡ช Batumi25%
27๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg25%
28๐Ÿ‡ง๐Ÿ‡ฌ Plovdiv25%
29๐Ÿ‡ธ๐Ÿ‡ช Gothenburg25%
30๐Ÿ‡บ๐Ÿ‡พ Montevideo25%
Share of visiting nomads who are designersn=152,595 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‡จ๐Ÿ‡ด Medellรญn52%
3๐Ÿ‡ฎ๐Ÿ‡ฉ Uluwatu51%
4๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen50%
5๐Ÿ‡น๐Ÿ‡ญ Ko Samui50%
6๐Ÿ‡จ๐Ÿ‡ท Tamarindo50%
7๐Ÿ‡ฉ๐Ÿ‡ด Santo Domingo50%
8๐Ÿ‡ต๐Ÿ‡ญ Siargao50%
9๐Ÿ‡จ๐Ÿ‡ด Cali50%
10๐Ÿ‡น๐Ÿ‡ญ Krabi50%
11๐Ÿ‡จ๐Ÿ‡ท Santa Teresa49%
12๐Ÿ‡ง๐Ÿ‡ท Florianopolis49%
13๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara49%
14๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan49%
15๐Ÿ‡ถ๐Ÿ‡ฆ Doha49%
16๐Ÿ‡จ๐Ÿ‡ด Cartagena49%
17๐Ÿ‡ต๐Ÿ‡ฆ Panama City49%
18๐Ÿ‡ญ๐Ÿ‡ท Hvar49%
19๐Ÿ‡ช๐Ÿ‡ธ Marbella49%
20๐Ÿ‡จ๐Ÿ‡ท Puerto Viejo49%
21๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu49%
22๐Ÿ‡ต๐Ÿ‡ท San Juan49%
23๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura48%
24๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro48%
25๐Ÿ‡ช๐Ÿ‡ธ Lanzarote48%
26๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi48%
27๐Ÿ‡ป๐Ÿ‡ณ Da Nang48%
28๐Ÿ‡ฒ๐Ÿ‡ฝ Sayulita48%
29๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik48%
30๐Ÿ‡ช๐Ÿ‡ธ Mallorca48%
Share of visiting nomads into gym & strength trainingn=149,145 nomads

๐Ÿ›‹๏ธ Least gym-going visitors

#CityGym / strength
1๐Ÿ‡ณ๐Ÿ‡ฑ The Hague32%
2๐Ÿ‡ฌ๐Ÿ‡ง Glasgow32%
3๐Ÿ‡น๐Ÿ‡ท Izmir33%
4๐Ÿ‡บ๐Ÿ‡ฟ Tashkent34%
5๐Ÿ‡ฎ๐Ÿ‡ฉ Yogyakarta34%
6๐Ÿ‡ณ๐Ÿ‡ด Bergen34%
7๐Ÿ‡ง๐Ÿ‡ฌ Plovdiv34%
8๐Ÿ‡ฌ๐Ÿ‡ง Belfast35%
9๐Ÿ‡ฎ๐Ÿ‡ณ Jaipur35%
10๐Ÿ‡ง๐Ÿ‡พ Minsk35%
11๐Ÿ‡น๐Ÿ‡ญ Chiang Rai36%
12๐Ÿ‡ฆ๐Ÿ‡ท Ushuaia36%
13๐Ÿ‡ง๐Ÿ‡ฆ Mostar36%
14๐Ÿ‡ซ๐Ÿ‡ท Lyon36%
15๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende36%
16๐Ÿ‡จ๐Ÿ‡ณ Chengdu36%
17๐Ÿ‡ง๐Ÿ‡ฆ Sarajevo36%
18๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan36%
19๐Ÿ‡ท๐Ÿ‡ธ Novi Sad36%
20๐Ÿ‡ต๐Ÿ‡ช Arequipa36%
21๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty37%
22๐Ÿ‡ฌ๐Ÿ‡ง Edinburgh37%
23๐Ÿ‡ฒ๐Ÿ‡ฆ Fes37%
24๐Ÿ‡ง๐Ÿ‡ท Foz do Iguaรงu37%
25๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek37%
26๐Ÿ‡จ๐Ÿ‡ฑ San Pedro de Atacama37%
27๐Ÿ‡ฒ๐Ÿ‡ฝ San Cristรณbal de las Casas38%
28๐Ÿ‡ฒ๐Ÿ‡ฉ Chisinau38%
29๐Ÿ‡จ๐Ÿ‡ฆ Quebec City38%
30๐Ÿ‡ฌ๐Ÿ‡ฎ Gibraltar38%
Share of visiting nomads into gym & strength trainingn=149,145 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 Bariloche66%
3๐Ÿ‡ต๐Ÿ‡ญ Boracay65%
4๐Ÿ‡ฆ๐Ÿ‡ท Cordoba65%
5๐Ÿ‡จ๐Ÿ‡บ Havana65%
6๐Ÿ‡ญ๐Ÿ‡ท Dubrovnik65%
7๐Ÿ‡ป๐Ÿ‡ณ Hue65%
8๐Ÿ‡ฎ๐Ÿ‡ช Dublin65%
9๐Ÿ‡จ๐Ÿ‡ด Santa Marta65%
10๐Ÿ‡บ๐Ÿ‡พ Montevideo65%
11๐Ÿ‡ฒ๐Ÿ‡ฝ Isla Mujeres64%
12๐Ÿ‡ฌ๐Ÿ‡ง Manchester64%
13๐Ÿ‡ฎ๐Ÿ‡น Florence64%
14๐Ÿ‡ช๐Ÿ‡จ Quito64%
15๐Ÿ‡ฉ๐Ÿ‡ช Cologne64%
16๐Ÿ‡ต๐Ÿ‡ท San Juan64%
17๐Ÿ‡ญ๐Ÿ‡ท Split64%
18๐Ÿ‡ฒ๐Ÿ‡ฝ Cancun64%
19๐Ÿ‡ป๐Ÿ‡ฆ Vatican City64%
20๐Ÿ‡ณ๐Ÿ‡ฟ Queenstown64%
21๐Ÿ‡ช๐Ÿ‡ธ Seville64%
22๐Ÿ‡ฌ๐Ÿ‡ท Chania64%
23๐Ÿ‡ฒ๐Ÿ‡ฝ Guadalajara63%
24๐Ÿ‡ฌ๐Ÿ‡น Antigua63%
25๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik63%
26๐Ÿ‡ญ๐Ÿ‡ท Zadar63%
27๐Ÿ‡ต๐Ÿ‡น Faro63%
28๐Ÿ‡ฌ๐Ÿ‡ท Santorini63%
29๐Ÿ‡ง๐Ÿ‡ธ Nassau63%
30๐Ÿ‡ช๐Ÿ‡ธ Fuerteventura63%
Share of visiting nomads who like alcoholn=149,145 nomads

๐Ÿšฑ Most sober visitors

#CityDrinks
1๐Ÿ‡จ๐Ÿ‡ณ Shenzhen48%
2๐Ÿ‡ต๐Ÿ‡น Portimรฃo50%
3๐Ÿ‡บ๐Ÿ‡ธ Honolulu51%
4๐Ÿ‡ณ๐Ÿ‡ฑ Utrecht51%
5๐Ÿ‡น๐Ÿ‡ณ Tunis51%
6๐Ÿ‡ท๐Ÿ‡บ Moscow51%
7๐Ÿ‡ฎ๐Ÿ‡ณ Bengaluru52%
8๐Ÿ‡จ๐Ÿ‡ณ Guangzhou52%
9๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi52%
10๐Ÿ‡ฒ๐Ÿ‡ช Podgorica52%
11๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta52%
12๐Ÿ‡บ๐Ÿ‡ธ Portland52%
13๐Ÿ‡ฒ๐Ÿ‡ฉ Chisinau52%
14๐Ÿ‡ฎ๐Ÿ‡ฉ Ubud52%
15๐Ÿ‡ด๐Ÿ‡ฒ Muscat53%
16๐Ÿ‡ง๐Ÿ‡พ Minsk53%
17๐Ÿ‡ฉ๐Ÿ‡ช Stuttgart53%
18๐Ÿ‡ฆ๐Ÿ‡ช Dubai53%
19๐Ÿ‡ฎ๐Ÿ‡ฉ Sanur53%
20๐Ÿ‡ท๐Ÿ‡ด Timisoara53%
21๐Ÿ‡ฐ๐Ÿ‡ท Seoul53%
22๐Ÿ‡บ๐Ÿ‡ธ Austin53%
23๐Ÿ‡ฎ๐Ÿ‡ฉ Yogyakarta54%
24๐Ÿ‡ธ๐Ÿ‡ป San Salvador54%
25๐Ÿ‡จ๐Ÿ‡ณ Shanghai54%
26๐Ÿ‡ณ๐Ÿ‡ต Pokhara54%
27๐Ÿ‡จ๐Ÿ‡ญ Geneva54%
28๐Ÿ‡ต๐Ÿ‡ญ Manila54%
29๐Ÿ‡ฐ๐Ÿ‡ท Busan54%
30๐Ÿ‡บ๐Ÿ‡ธ Dallas54%
Share of visiting nomads who like alcoholn=149,145 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 Mykonos26%
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 Santa Marta21%
9๐Ÿ‡จ๐Ÿ‡ด Cartagena21%
10๐Ÿ‡จ๐Ÿ‡บ Havana21%
11๐Ÿ‡น๐Ÿ‡ญ Ko Pha Ngan21%
12๐Ÿ‡น๐Ÿ‡ญ Pattaya21%
13๐Ÿ‡ง๐Ÿ‡ท Salvador21%
14๐Ÿ‡น๐Ÿ‡ญ Ko Tao21%
15๐Ÿ‡ฎ๐Ÿ‡ณ Goa21%
16๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi21%
17๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum21%
18๐Ÿ‡จ๐Ÿ‡ด Bogota20%
19๐Ÿ‡ฎ๐Ÿ‡ฉ Seminyak20%
20๐Ÿ‡ฒ๐Ÿ‡ฆ Fes20%
21๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo20%
22๐Ÿ‡ฎ๐Ÿ‡ณ Mumbai20%
23๐Ÿ‡จ๐Ÿ‡ฆ Montreal20%
24๐Ÿ‡ฒ๐Ÿ‡จ Monaco20%
25๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen20%
26๐Ÿ‡ฒ๐Ÿ‡ฝ Cabo San Lucas20%
27๐Ÿ‡ฎ๐Ÿ‡ฉ Denpasar20%
28๐Ÿ‡จ๐Ÿ‡ด Medellรญn20%
29๐Ÿ‡ฆ๐Ÿ‡ท Bariloche20%
30๐Ÿ‡ฎ๐Ÿ‡ฉ Gili Air20%
Share of visiting nomads who like partyingn=149,145 nomads

๐Ÿ˜ด Quietest visitors

#CityParties
1๐Ÿ‡ฉ๐Ÿ‡ช Hamburg10%
2๐Ÿ‡ท๐Ÿ‡ธ Novi Sad11%
3๐Ÿ‡ธ๐Ÿ‡ช Malmรถ11%
4๐Ÿ‡ฎ๐Ÿ‡ฉ Sanur11%
5๐Ÿ‡ต๐Ÿ‡ฑ Wrocล‚aw11%
6๐Ÿ‡บ๐Ÿ‡ธ Dallas11%
7๐Ÿ‡จ๐Ÿ‡ณ Chengdu12%
8๐Ÿ‡ฆ๐Ÿ‡ฒ Yerevan12%
9๐Ÿ‡ง๐Ÿ‡พ Minsk12%
10๐Ÿ‡ง๐Ÿ‡ช Antwerp12%
11๐Ÿ‡ฎ๐Ÿ‡น Verona12%
12๐Ÿ‡ฐ๐Ÿ‡ฌ Bishkek12%
13๐Ÿ‡ฑ๐Ÿ‡ฐ Weligama12%
14๐Ÿ‡ฒ๐Ÿ‡ฆ Essaouira12%
15๐Ÿ‡บ๐Ÿ‡ฟ Tashkent12%
16๐Ÿ‡ธ๐Ÿ‡ช Gothenburg13%
17๐Ÿ‡ฑ๐Ÿ‡ฐ Galle13%
18๐Ÿ‡ฌ๐Ÿ‡ง Glasgow13%
19๐Ÿ‡น๐Ÿ‡ญ Chiang Rai13%
20๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi13%
21๐Ÿ‡บ๐Ÿ‡ธ Denver13%
22๐Ÿ‡ณ๐Ÿ‡ด Bergen13%
23๐Ÿ‡ฎ๐Ÿ‡ฑ Jerusalem13%
24๐Ÿ‡ด๐Ÿ‡ฒ Muscat13%
25๐Ÿ‡ง๐Ÿ‡ฌ Plovdiv13%
26๐Ÿ‡ต๐Ÿ‡พ Asuncion13%
27๐Ÿ‡บ๐Ÿ‡ธ Houston13%
28๐Ÿ‡ฒ๐Ÿ‡ฝ San Miguel de Allende13%
29๐Ÿ‡ฎ๐Ÿ‡น Pisa14%
30๐Ÿ‡ฒ๐Ÿ‡ป Male14%
Share of visiting nomads who like partyingn=149,145 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 Cebu77%
3๐Ÿ‡ช๐Ÿ‡จ Quito75%
4๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro75%
5๐Ÿ‡ฐ๐Ÿ‡ช Nairobi74%
6๐Ÿ‡ช๐Ÿ‡ธ Ibiza74%
7๐Ÿ‡ต๐Ÿ‡ฆ Panama City74%
8๐Ÿ‡จ๐Ÿ‡ด Cartagena74%
9๐Ÿ‡ฌ๐Ÿ‡น Antigua74%
10๐Ÿ‡ฒ๐Ÿ‡ฝ Puerto Escondido74%
11๐Ÿ‡ฆ๐Ÿ‡ท Buenos Aires73%
12๐Ÿ‡ช๐Ÿ‡ฌ Cairo73%
13๐Ÿ‡จ๐Ÿ‡ท San Josรฉ73%
14๐Ÿ‡ง๐Ÿ‡ท Florianopolis73%
15๐Ÿ‡ง๐Ÿ‡ฌ Bansko73%
16๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka73%
17๐Ÿ‡ต๐Ÿ‡ช Lima73%
18๐Ÿ‡ฏ๐Ÿ‡ด Amman72%
19๐Ÿ‡ต๐Ÿ‡ญ Manila72%
20๐Ÿ‡ช๐Ÿ‡ธ Valencia72%
21๐Ÿ‡น๐Ÿ‡ผ Taipei72%
22๐Ÿ‡ฎ๐Ÿ‡ฉ Canggu72%
23๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico City72%
24๐Ÿ‡ต๐Ÿ‡ช Cusco72%
25๐Ÿ‡ง๐Ÿ‡ท Sรฃo Paulo72%
26๐Ÿ‡ช๐Ÿ‡ธ Gran Canaria72%
27๐Ÿ‡ฆ๐Ÿ‡ฑ Tirana72%
28๐Ÿ‡ฒ๐Ÿ‡ฝ Playa del Carmen72%
29๐Ÿ‡ต๐Ÿ‡พ Asuncion72%
30๐Ÿ‡ญ๐Ÿ‡ท Zagreb72%
Share of visiting nomads who are singlen=69,560 nomads

๐Ÿ’ Most coupled-up visitors

#CitySingle
1๐Ÿ‡น๐Ÿ‡ญ Ko Phi Phi58%
2๐Ÿ‡จ๐Ÿ‡พ Larnaca60%
3๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo60%
4๐Ÿ‡ป๐Ÿ‡ฆ Vatican City61%
5๐Ÿ‡ฒ๐Ÿ‡พ Penang61%
6๐Ÿ‡ฆ๐Ÿ‡น Salzburg61%
7๐Ÿ‡บ๐Ÿ‡ธ Seattle61%
8๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt61%
9๐Ÿ‡น๐Ÿ‡ญ Krabi62%
10๐Ÿ‡ท๐Ÿ‡บ Moscow62%
11๐Ÿ‡ณ๐Ÿ‡ด Oslo62%
12๐Ÿ‡ง๐Ÿ‡ช Bruges62%
13๐Ÿ‡ฆ๐Ÿ‡ช Abu Dhabi62%
14๐Ÿ‡น๐Ÿ‡ญ Ko Lanta62%
15๐Ÿ‡จ๐Ÿ‡บ Havana62%
16๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty63%
17๐Ÿ‡บ๐Ÿ‡ธ Orlando63%
18๐Ÿ‡น๐Ÿ‡ท Antalya63%
19๐Ÿ‡ฒ๐Ÿ‡น Sliema63%
20๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong63%
21๐Ÿ‡ท๐Ÿ‡บ Saint Petersburg63%
22๐Ÿ‡บ๐Ÿ‡ธ Las Vegas63%
23๐Ÿ‡บ๐Ÿ‡ธ Los Angeles63%
24๐Ÿ‡ซ๐Ÿ‡ท Paris63%
25๐Ÿ‡จ๐Ÿ‡ฆ Vancouver64%
26๐Ÿ‡ฎ๐Ÿ‡น Milan64%
27๐Ÿ‡ฌ๐Ÿ‡ช Tbilisi64%
28๐Ÿ‡ง๐Ÿ‡ช Brussels64%
29๐Ÿ‡ซ๐Ÿ‡ท Lyon64%
30๐Ÿ‡ฉ๐Ÿ‡ช Cologne64%
Share of visiting nomads who are singlen=69,560 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 Boston88%
2๐Ÿ‡จ๐Ÿ‡ญ Zurich87%
3๐Ÿ‡ฟ๐Ÿ‡ฆ Cape Town80%
4๐Ÿ‡จ๐Ÿ‡ญ Geneva77%
5๐Ÿ‡ฒ๐Ÿ‡ฆ Marrakesh76%
6๐Ÿ‡ฎ๐Ÿ‡ธ Reykjavik75%
7๐Ÿ‡ฎ๐Ÿ‡น Palermo74%
8๐Ÿ‡ธ๐Ÿ‡ช Stockholm74%
9๐Ÿ‡ฎ๐Ÿ‡ฑ Tel Aviv72%
10๐Ÿ‡ง๐Ÿ‡ท Rio de Janeiro72%
11๐Ÿ‡บ๐Ÿ‡ธ New York City71%
12๐Ÿ‡ง๐Ÿ‡ท Florianopolis71%
13๐Ÿ‡ฒ๐Ÿ‡ฝ Tulum70%
14๐Ÿ‡ฉ๐Ÿ‡ฐ Copenhagen69%
15๐Ÿ‡จ๐Ÿ‡ฆ Montreal69%
16๐Ÿ‡ณ๐Ÿ‡ด Oslo69%
17๐Ÿ‡ง๐Ÿ‡ท Sรฃo Paulo68%
18๐Ÿ‡ฉ๐Ÿ‡ช Munich66%
19๐Ÿ‡ธ๐Ÿ‡ฎ Ljubljana66%
20๐Ÿ‡ฆ๐Ÿ‡บ Sydney65%
21๐Ÿ‡ฎ๐Ÿ‡น Naples65%
22๐Ÿ‡ช๐Ÿ‡ธ Mallorca64%
23๐Ÿ‡จ๐Ÿ‡ด Cartagena63%
24๐Ÿ‡ฉ๐Ÿ‡ช Frankfurt62%
25๐Ÿ‡ต๐Ÿ‡น Madeira62%
26๐Ÿ‡ต๐Ÿ‡น Lisbon61%
27๐Ÿ‡ญ๐Ÿ‡ท Zagreb60%
28๐Ÿ‡ซ๐Ÿ‡ท Nice60%
29๐Ÿ‡บ๐Ÿ‡ธ Miami60%
30๐Ÿ‡บ๐Ÿ‡ธ San Diego59%
Blend of attractiveness, income & education of visiting nomadsn=45,870 nomads

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

#CityScore
1๐Ÿ‡น๐Ÿ‡ญ Pattaya2%
2๐Ÿ‡ป๐Ÿ‡ณ Da Nang8%
3๐Ÿ‡ฑ๐Ÿ‡ฐ Colombo8%
4๐Ÿ‡ต๐Ÿ‡ญ Cebu11%
5๐Ÿ‡ฎ๐Ÿ‡ฉ Jakarta11%
6๐Ÿ‡ฒ๐Ÿ‡พ Kuala Lumpur13%
7๐Ÿ‡ต๐Ÿ‡ญ Manila14%
8๐Ÿ‡น๐Ÿ‡ญ Phuket16%
9๐Ÿ‡ป๐Ÿ‡ณ Ho Chi Minh City16%
10๐Ÿ‡ฐ๐Ÿ‡ญ Phnom Penh16%
11๐Ÿ‡ฏ๐Ÿ‡ต Osaka17%
12๐Ÿ‡ฏ๐Ÿ‡ต Fukuoka17%
13๐Ÿ‡ป๐Ÿ‡ณ Hanoi18%
14๐Ÿ‡ฆ๐Ÿ‡ฑ Tirana20%
15๐Ÿ‡ฎ๐Ÿ‡ฉ Seminyak20%
16๐Ÿ‡ฐ๐Ÿ‡ญ Siem Reap22%
17๐Ÿ‡บ๐Ÿ‡พ Montevideo22%
18๐Ÿ‡น๐Ÿ‡ญ Krabi23%
19๐Ÿ‡น๐Ÿ‡ญ Bangkok25%
20๐Ÿ‡ท๐Ÿ‡ธ Belgrade26%
21๐Ÿ‡ต๐Ÿ‡พ Asuncion27%
22๐Ÿ‡ฐ๐Ÿ‡ฟ Almaty27%
23๐Ÿ‡น๐Ÿ‡ผ Taipei27%
24๐Ÿ‡ช๐Ÿ‡จ Quito30%
25๐Ÿ‡น๐Ÿ‡ท Antalya31%
26๐Ÿ‡ต๐Ÿ‡ช Cusco31%
27๐Ÿ‡ธ๐Ÿ‡ฐ Bratislava32%
28๐Ÿ‡ฒ๐Ÿ‡พ Penang32%
29๐Ÿ‡ป๐Ÿ‡ณ Hoi An32%
30๐Ÿ‡ฌ๐Ÿ‡ช Batumi33%
Blend of attractiveness, income & education of visiting nomadsn=45,870 nomads


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