Who is the average nomad in 2026?

👶 37-year old

⚖ ️ Non-progressive

💫 Not religious

😎 Single

✋🏻 White

👋 Heterosexual

👨 ‍ Man

🎓 with a
Bachelor's

💻 works as a
Software Dev

🏡 from
a Home office

💰 makes
$85,000 / y

☕️ loves
Coffee

🥩 eats meat

🥾 works out by
Hiking

🇯🇵 loves
Tokyo most

💉 is vaccinated

🍃 produces 72% less CO₂

5️⃣ and stays for
5 months

n=45,662

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: 4 minutes ago

👶 Nomads by age
Age	%
18	0.1%
21	0.1%
22	0.3%
23	0.3%
24	0.5%
25	1%
26	1%
27	2%
28	2%
29	2%
30	2%
31	3%
32	5%
33	7%
34	7%
35	5%
36	6%
37	9%
38	6%
39	5%
40	5%
41	4%
42	4%
43	3%
44	2%
active last 365d, n=1,010

⛳️ Nomads by nationality
#	Country	People	%
1	🇺🇸 United States	55,878,138	42%
2	🇬🇧 United Kingdom	9,108,647	7%
3	🇨🇦 Canada	6,107,422	5%
4	🇷🇺 Russia	5,868,851	4%
5	🇩🇪 Germany	5,625,508	4%
6	🇫🇷 France	4,704,623	4%
7	🇧🇷 Brazil	3,611,967	3%
8	🇦🇺 Australia	3,134,825	2%
9	🇳🇱 Netherlands	2,500,226	2%
10	🇪🇸 Spain	2,476,369	2%
11	🇮🇳 India	2,466,826	2%
12	🇮🇹 Italy	1,994,455	1%
13	🇺🇦 Ukraine	1,937,198	1%
14	🇵🇱 Poland	1,641,370	1%
15	🇨🇭 Switzerland	1,355,084	1%
16	🇹🇷 Turkey	1,035,399	1%
17	🇦🇹 Austria	1,011,542	1%
18	🇯🇵 Japan	954,285	1%
19	🇸🇪 Sweden	935,199	1%
20	🇮🇪 Ireland	916,113	1%
21	🇮🇱 Israel	834,999	1%
22	🇧🇪 Belgium	820,685	1%
23	🇨🇿 Czechia	782,513	1%
24	🇰🇷 South Korea	772,971	1%
25	🇦🇷 Argentina	734,799	1%
26	🇵🇹 Portugal	730,028	1%
27	🇿🇦 South Africa	715,713	1%
28	🇲🇽 Mexico	715,713	1%
29	🇷🇴 Romania	696,628	1%
30	🇨🇳 China	667,999	1%
n=27,966

👶 Nomads by gender
Gender	%
👨‍ Men	82%
👱‍♀️ Women	18%
🧑 Other	0%
active last 365d, n=14,164

👀 Nomads by sexuality
Sexuality	%
👋 Heterosexual	88%
🦄 Bisexual	7%
🏳️‍🌈 Gay or lesbian	5%
n=17,805

🙏 Nomads by beliefs
Religion	%
💫 Not religious	51%
🙏 Spirituality	28%
⛪️ Christianity	10%
🙏 Buddhism	3%
🕌 Islam	3%
✨ Astrology	2%
🕍 Judaism	2%
🕉 Hinduism	1%
👳 Sikhism	0%
n=9,296

✋ Nomads by ethnicity
Ethnicity	%
✋🏻 White	59%
✋🏾 Non-white	41%
↱✋🏼 Asian	14%
↱✋🏽 Latin	12%
↱✋🏿 Black	7%
↱✋🏽 Indian	5%
↱✋🏾 Middle Eastern	3%
↱✋🏽 Pacific	1%
n=8,452

🎓 Education
Education	%
🚌 High School	9%
🎓 Higher education	91%
↱📜 Bachelor's	53%
↱🎓 Master's	34%
↱👩‍🏫 PhD	3%
n=19,602

❤️ Nomads by relationship
Relationship	%
😎 Single	67%
😍 In a relationship	33%
n=11,275

👀 Nomads looking for
Looking for	%
🤝 Friends	36%
🎒 Travel buddies	32%
🍹 Casual dating	15%
❤️ Relationship	13%
👐 Poly dating	4%
n=66,004

💰 Nomads by income
Income	%
< $25k / y	7%
$25k - $50k / y	15%
$50k - $100k / y	33%
$100k - $250k / y	35%
> $250k - $1M / y	9%
> $1M / y	2%
Average	$125,202 / y
Median	$85,000 / y
n=5,817

💰 Nomads by employment
Employment type	%
Full time	37%
Freelance	19%
Startup founder	19%
Full time contractor	9%
Agency	8%
Other	6%
Part time	2%
Part time contractor	1%
n=7,505

🏡 Where do nomads work from
Place	%
🏡 Home office	58%
🏬 Coworking	15%
☕️ Cafe	8%
🏢 Office	8%
🛋 Couch	3%
🍽 Dining table	3%
🛏 Bed	2%
🪑 Balcony	1%
🚐 Van	1%
🔪 Kitchen	0%
🪴 Garden	0%
🛥 Boat	0%
💦 Pool	0%
📚 Library	0%
n=6,291

💬 What messaging apps nomads use?
Messaging app	%
Telegram	50%
Whatsapp	43%
Snapchat	3%
Facebook	2%
WeChat	0%
LINE	0%
Slack	0%
n=6,185

⚖️ Nomad men by politics
Politics	%
🏳️‍🌈 Progressive	44%
⚖️ Non-progressive	56%
↱🗽 Libertarian	27%
↱⚖️ Centrist	21%
↱👴 Conservative	8%
n=3,862

⚖️ Nomad women by politics
Politics	%
🏳️‍🌈 Progressive	72%
⚖️ Non-progressive	28%
↱🗽 Libertarian	13%
↱⚖️ Centrist	12%
↱👴 Conservative	3%
n=888

What do nomads eat?

🥩 77% of 👨‍ men eat meat

🥩 57% of 👱‍♀️women eat meat

🚫 37% of nomads don't eat meat

🥒 11% are vegetarian

🥑 11% are vegan

🐟 5% are pescetarian

n=8,351

🍕 Nomad men by diet
Diet	%
🥩 Eats meat	77%
🚫 Does not eat meat	23%
↱🥒 Vegetarian	10%
↱🥑 Vegan	10%
↱🐟 Pescetarian	4%
n=6,004

🍕 Nomad women by diet
Diet	%
🥩 Eats meat	57%
🚫 Does not eat meat	43%
↱🥒 Vegetarian	19%
↱🥑 Vegan	15%
↱🐟 Pescetarian	10%
n=1,274

How do nomads work out?

🥾 Hiking

💪 Fitness

🏃 Running

🤸‍♀️ Yoga

🏊 Swimming

🚴 Cycling

n=16,522

😅 Nomad men by sports
Sport	%
💪 Fitness	49%
🥾 Hiking	47%
🏃 Running	28%
🚴 Cycling	24%
🏊 Swimming	23%
🤸‍♀️ Yoga	20%
🏄 Surfing	18%
🌊 Diving	15%
⛷ Skiing	15%
🏂 Snowboarding	15%
⛰ Climbing	15%
🎾 Tennis	14%
🏍 Motorcycling	13%
💪 Fight sports	10%
🏓 Table tennis	9%
n=11,652

😅 Nomad women by sports
Sport	%
🥾 Hiking	51%
🤸‍♀️ Yoga	45%
💪 Fitness	40%
🏊 Swimming	25%
🏃 Running	21%
🚴 Cycling	17%
🌊 Diving	15%
🏄 Surfing	14%
⛰ Climbing	13%
⛷ Skiing	12%
🎾 Tennis	11%
🏂 Snowboarding	9%
💪 Crossfit	5%
🏍 Motorcycling	5%
🏐 Volleyball	5%
n=2,677

Where do nomads like to go most?

🇯🇵 Tokyo

🇵🇹 Ericeira

🇺🇸 Chicago

🇵🇹 Portimão

🇧🇬 Varna

🇮🇸 Reykjavik

n=428,982

😍 Most liked cities by men
#	City	Rating
1	🇲🇾 Kuala Lumpur	4.55
2	🇯🇵 Tokyo	4.38
3	🇹🇭 Chiang Mai	4.29
4	🇸🇬 Singapore	4.17
5	🇲🇽 Mexico City	4.17
6	🇯🇵 Osaka	4.17
7	🇨🇿 Prague	4.17
8	🇪🇸 Madrid	4.17
9	🇳🇱 Amsterdam	4.17
10	🇹🇭 Bangkok	4.12
11	🇵🇱 Kraków	4.00
12	🇮🇩 Ubud	4.00
13	🇺🇸 New York City	4.00
14	🇬🇹 Antigua	4.00
15	🇯🇵 Fukuoka	4.00
n=6,788

😍 Most liked cities by women
#	City	Rating
1	🇨🇴 Medellín	3.75
2	🇹🇭 Bangkok	3.33
3	🇹🇭 Chiang Mai	3.33
4	🇻🇳 Da Nang	3.33
5	🇬🇪 Tbilisi	3.33
6	🇵🇹 Azores	3.33
7	🇪🇸 Valencia	3.33
8	🇲🇽 Mexico City	3.33
9	🇬🇹 Antigua	3.33
10	🇦🇺 Sydney	3.33
11	🇦🇷 Buenos Aires	3.33
12	🇳🇱 The Hague	3.33
13	🇸🇪 Stockholm	3.33
14	🇧🇬 Bansko	3.33
15	🇲🇾 Johor Bahru	3.33
n=6,788

Most visited countries, on the map

1 trip 56,966 trips (log scale)

🌆 Most visited cities
#	City	% visited
1	🇹🇭 Bangkok	2.22%
2	🇬🇧 London	2.19%
3	🇪🇸 Barcelona	1.48%
4	🇫🇷 Paris	1.46%
5	🇺🇸 New York City	1.46%
6	🇵🇹 Lisbon	1.43%
7	🇩🇪 Berlin	1.43%
8	🇳🇱 Amsterdam	1.18%
9	🇺🇸 San Francisco	1.13%
10	🇹🇭 Chiang Mai	1.07%
11	🇲🇽 Mexico City	0.98%
12	🇯🇵 Tokyo	0.93%
13	🇮🇩 Canggu	0.91%
14	🇸🇬 Singapore	0.89%
15	🇹🇷 Istanbul	0.86%
16	🇪🇸 Madrid	0.83%
17	🇲🇾 Kuala Lumpur	0.81%
18	🇺🇸 Los Angeles	0.8%
19	🇦🇪 Dubai	0.79%
20	🇭🇺 Budapest	0.77%
21	🇨🇿 Prague	0.71%
22	🇦🇷 Buenos Aires	0.69%
23	🇨🇴 Medellín	0.62%
24	🇮🇹 Rome	0.6%
25	🇷🇺 Moscow	0.59%
26	🇦🇹 Vienna	0.57%
27	🇰🇷 Seoul	0.56%
28	🇻🇳 Ho Chi Minh City	0.55%
29	🇭🇰 Hong Kong	0.54%
30	🇹🇭 Phuket	0.53%
n=428,982

🌎 Most visited countries
#	Country	% visited
1	🇺🇸 United States	13%
2	🇪🇸 Spain	5%
3	🇹🇭 Thailand	5%
4	🇩🇪 Germany	4%
5	🇬🇧 United Kingdom	4%
6	🇲🇽 Mexico	3%
7	🇫🇷 France	3%
8	🇮🇹 Italy	3%
9	🇵🇹 Portugal	3%
10	🇮🇩 Indonesia	2%
11	🇯🇵 Japan	2%
12	🇧🇷 Brazil	2%
13	🇨🇦 Canada	2%
14	🇳🇱 Netherlands	2%
15	🇻🇳 Vietnam	2%
16	🇹🇷 Turkey	2%
17	🇷🇺 Russia	1%
18	🇵🇱 Poland	1%
19	🇨🇴 Colombia	1%
20	🇮🇳 India	1%
21	🇲🇾 Malaysia	1%
22	🇦🇺 Australia	1%
23	🇬🇷 Greece	1%
24	🇦🇷 Argentina	1%
25	🇨🇭 Switzerland	1%
26	🇨🇳 China	1%
27	🇦🇹 Austria	1%
28	🇦🇪 United Arab Emirates	1%
29	🇸🇬 Singapore	1%
30	🇭🇷 Croatia	1%
n=428,982

🍃 Avg. CO₂ by member traveling
Year	CO₂
2013	674 kg/y
2014	985 kg/y
2015	1,075 kg/y
2016	1,286 kg/y
2017	1,464 kg/y
2018	1,540 kg/y
2019	1,570 kg/y
2020	990 kg/y
2021	1,002 kg/y
2022	1,571 kg/y
2023	1,722 kg/y
2024	1,696 kg/y
2025	1,600 kg/y
2026	1,662 kg/y
Average	1,308 kg/y
Median	1,375 kg/y
Based on 428,982 trips by 16,290 members @ 115g/km CO₂ 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 1,375 kg/y, or 72% less CO₂ than the average American on travel and commuting.

👨 Where men go most
#	Tag	vs. 👱‍♀️
1	🇹🇭 Bangkok	+25%
2	🇵🇹 Lisbon	-16%
3	🇪🇸 Barcelona	-10%
4	🇬🇧 London	-22%
5	🇹🇭 Chiang Mai	-2%
6	🇫🇷 Paris	-23%
7	🇳🇱 Amsterdam	+2%
8	🇩🇪 Berlin	-3%
9	🇮🇩 Canggu	+4%
10	🇯🇵 Tokyo	+14%
11	🇹🇷 Istanbul	+7%
12	🇸🇬 Singapore	+12%
13	🇲🇾 Kuala Lumpur	+27%
14	🇲🇽 Mexico City	-20%
15	🇭🇺 Budapest	+16%
median temp=18°C; n=428,982

👱‍♀️ Where women go most
#	Tag	vs. 👨
1	🇵🇹 Lisbon	+19%
2	🇬🇧 London	+28%
3	🇹🇭 Bangkok	-20%
4	🇫🇷 Paris	+30%
5	🇪🇸 Barcelona	+11%
6	🇹🇭 Chiang Mai	+2%
7	🇲🇽 Mexico City	+25%
8	🇩🇪 Berlin	+3%
9	🇳🇱 Amsterdam	-2%
10	🇮🇩 Canggu	-4%
11	🇮🇹 Rome	+26%
12	🇹🇷 Istanbul	-6%
13	🇮🇩 Ubud	+31%
14	🇯🇵 Tokyo	-13%
15	🇸🇬 Singapore	-11%
median temp=18°C; n=428,982

👨 Where men go more
#	Tag	vs. women
1	🇷🇺 Russia	+78%
2	🇵🇱 Poland	+63%
3	🇬🇪 Georgia	+49%
4	🇷🇴 Romania	+48%
5	🇵🇭 Philippines	+36%
6	🇭🇰 Hong Kong	+32%
7	🇷🇸 Serbia	+28%
8	🇦🇪 United Arab Emirates	+28%
9	🇨🇳 China	+25%
10	🇨🇿 Czechia	+21%
11	🇯🇵 Japan	+20%
12	🇻🇳 Vietnam	+19%
13	🇳🇴 Norway	+19%
14	🇲🇾 Malaysia	+17%
15	🇭🇺 Hungary	+16%
median temp=13°C; n=428,982

👱‍♀️ Where women go more
#	Tag	vs. men
1	🇨🇷 Costa Rica	+52%
2	🇿🇦 South Africa	+49%
3	🇲🇽 Mexico	+38%
4	🇬🇧 United Kingdom	+31%
5	🇭🇷 Croatia	+29%
6	🇫🇷 France	+23%
7	🇮🇹 Italy	+21%
8	🇨🇱 Chile	+19%
9	🇬🇷 Greece	+14%
10	🇦🇺 Australia	+13%
11	🇵🇹 Portugal	+12%
12	🇵🇪 Peru	+10%
13	🇮🇪 Ireland	+9%
14	🇪🇸 Spain	+7%
15	🇦🇷 Argentina	+6%
median temp=18°C; n=428,982

😍 Most liked countries
#	Country	Rating
1	🇯🇵 Japan	4.85
2	🇭🇺 Hungary	4.65
3	🇨🇿 Czechia	4.55
4	🇭🇷 Croatia	4.55
5	🇱🇻 Latvia	4.5
6	🇵🇱 Poland	4.45
7	🇰🇷 South Korea	4.4
8	🇨🇭 Switzerland	4.4
9	🇬🇹 Guatemala	4.3
10	🇰🇿 Kazakhstan	4.3
11	🇿🇦 South Africa	4.25
12	🇪🇪 Estonia	4.25
13	🇱🇹 Lithuania	4.25
14	🇷🇺 Russia	4.25
15	🇬🇷 Greece	4.2
n=4,022

🤮 Least liked countries
#	Country	Rating
1	🇨🇺 Cuba	1
2	🇮🇷 Iran	1.65
3	🇬🇮 Gibraltar	1.65
4	🇭🇳 Honduras	1.65
5	🇨🇾 Cyprus	1.65
6	🇲🇩 Moldova	2
7	🇲🇹 Malta	2.15
8	🇨🇱 Chile	2.25
9	🇱🇰 Sri Lanka	2.35
10	🇸🇴 Somalia	2.5
11	🇪🇹 Ethiopia	2.5
12	🇹🇿 Tanzania	2.5
13	🇸🇳 Senegal	2.5
14	🇨🇲 Cameroon	2.5
15	🏴 Kurdistan	2.5
n=4,022

⏰ How long do nomads stay in one city?
Duration	%
< 7 days	47%
7 - 30 days	33%
30 - 90 days	14%
90+ days	6%
Average	63 days (2 months)
Median	7 days
n=418,046

🏡 How long do nomads stay in one country?
Duration	%
< 7 days	0%
7 - 30 days	59%
30 - 90 days	28%
90+ days	14%
Average	154 days (5 months)
n=418,046

What do nomads do for work?

💻 Software Dev

📇 Startup Founder

🕸 Web Dev

😁 Marketing

👩‍🎨 Creative

📊 SaaS

n=32,353

👨 Nomad men work as
#	Work	%	vs. women
1	💻 Software Dev	32%	+284%
2	📇 Startup Founder	25%	+132%
3	🕸 Web Dev	25%	+280%
4	😁 Marketing	14%	-10%
5	📊 SaaS	12%	+183%
6	👩‍🎨 Creative	11%	-28%
7	📱 Mobile Dev	10%	+347%
8	🎨 UI/UX Design	10%	+24%
9	🤠 Product Manager	10%	+57%
10	📈 Data	9%	+80%
11	💰 Crypto	9%	+268%
12	💰 Finance	9%	+110%
13	🛒 Ecommerce	8%	+87%
14	🤑 Sales	7%	+68%
15	🗃 Dev Ops	6%	+436%
n=25,747

👱‍♀️ Nomad women work as
#	Work	%	vs. men
1	😁 Marketing	15%	+11%
2	👩‍🎨 Creative	15%	+38%
3	📇 Startup Founder	11%	-57%
4	💻 Software Dev	8%	-74%
5	🎨 UI/UX Design	8%	-19%
6	🤝 Community	8%	+48%
7	📝 Blogging	7%	+40%
8	👨‍🏫 Education	7%	+34%
9	👊 Coach	7%	+44%
10	🕸 Web Dev	7%	-74%
11	🤠 Product Manager	6%	-36%
12	📈 Data	5%	-44%
13	📊 SaaS	4%	-65%
14	💰 Finance	4%	-52%
15	🛒 Ecommerce	4%	-47%
n=6,709

👨 Nomad men vs. women
#	Tag	vs. women
1	🗃 Dev Ops	+436%
2	🏗 Engineering	+424%
3	📡 Sysadmin	+406%
4	📈 Investor	+356%
5	📱 Mobile Dev	+347%
6	👾 Game Dev	+324%
7	🪖 Military	+317%
8	🤖 AI	+292%
9	💻 Software Dev	+284%
10	🕸 Web Dev	+280%
11	💰 Crypto	+268%
12	🛡️ InfoSec	+252%
13	🤖 AI model	+223%
14	📊 SaaS	+183%
15	😎 VR Dev	+153%
n=32,353

👱‍♀️ Nomad women vs. men
#	Tag	vs. men
1	👸 House wife	+130%
2	🧑‍💼 Human resources	+101%
3	👗 Tradwife	+92%
4	📰 Journalism	+78%
5	🧠 Psychologist	+78%
6	🙂 Support	+61%
7	👋 Hospitality	+56%
8	🤝 Community	+48%
9	👨‍⚕️ Medical	+48%
10	👊 Coach	+44%
11	📝 Blogging	+40%
12	👩‍🎨 Creative	+38%
13	🍳 Chef	+37%
14	👨‍🏫 Education	+34%
15	📞 Recruitment	+33%
n=32,353

How do nomads describe themselves?

☕️ Coffee

🇬🇧 Speaks English

🙂 Optimist

⛰ Outdoors

🥾 Hiking

💪 Fitness

n=32,353

👨‍ Nomad men
#	Tag	%	vs. 👱‍♀️
1	☕️ Coffee	34%	+16%
2	🇬🇧 Speaks English	29%	+11%
3	🙂 Optimist	28%	+18%
4	💪 Fitness	23%	+38%
5	😎 Single	23%	+22%
6	⛰ Outdoors	22%	-5%
7	💉 COVID vaccinated	22%	+11%
8	🥾 Hiking	22%	+4%
9	🧠 Open-minded	22%	+13%
10	🐶 Dogs	22%	-4%
11	☀️ Waking up early	21%	+15%
12	🍺 Beer	21%	+111%
13	🌙 Staying up late	20%	+42%
14	📖 Reading	20%	-4%
15	🍷 Wine	19%	-10%
n=25,747

👱‍♀️ Nomad women
#	Tag	%	vs. 👨‍
1	☕️ Coffee	29%	-14%
2	🇬🇧 Speaks English	26%	-10%
3	🙂 Optimist	24%	-15%
4	⛰ Outdoors	23%	+5%
5	🐶 Dogs	23%	+4%
6	🥾 Hiking	21%	-4%
7	🍷 Wine	21%	+11%
8	📖 Reading	21%	+4%
9	💉 COVID vaccinated	20%	-10%
10	🍵 Tea	20%	+12%
11	🧠 Open-minded	19%	-11%
12	🤸‍♀️ Yoga	19%	+101%
13	😎 Single	19%	-18%
14	☀️ Waking up early	18%	-13%
15	⛱ Beach	17%	+24%
n=6,709

👨 Nomad men vs. women
#	Tag	vs. 👱‍♀️
1	👨 No beard	+546%
2	⚽️ Football	+372%
3	🧑‍ Short hair	+337%
4	🪂 Dropout	+256%
5	✈️ Private pilot	+242%
6	🏀 Basketball	+233%
7	🏒 Ice hockey	+231%
8	🏎 Race sports	+201%
9	🏓 Table tennis	+195%
10	🏍 Motorcycling	+190%
11	♟️ Chess	+187%
12	🕉 Hindu	+185%
13	👴 Conservative politics	+184%
14	💪 Fight sports	+178%
15	💬 𝕏	+152%
n=32,353

👱‍♀️ Nomad women vs. men
#	Tag	vs. 👨
1	💄 Makeup	+3,951%
2	🤸‍♀️ Pilates	+1,006%
3	👱‍♀️ Long hair	+386%
4	🍶 Ceramics	+380%
5	👗 Dress up	+274%
6	✨ Astrology	+268%
7	💪 Feminism	+247%
8	🍶 Pottery	+207%
9	✨ Believe in astrology	+180%
10	💎 Jewelry	+179%
11	🟥 Red hair	+160%
12	💃 Fashion	+151%
13	🎨 Drawing	+138%
14	🦾 Disabled	+134%
15	💃 Dancing	+120%
n=32,353

💉 Nomads by vaccination
Vaccinated	%
💉 COVID vaccinated	92%
💉 Not COVID vaccinated	8%
n=8,476

💉 Vaccination (men)
Vaccinated	%
💉 Vaccinated	92%
💉 Not vaccinated	8%
n=6,218

💉 Vaccination (women)
Vaccinated	%
💉 Vaccinated	93%
💉 Not vaccinated	7%
n=1,445

❤️ Nomads by family
Relationship	%
❤️ Close to parents	82%
💔 Not close to parents	18%
n=2,627

👶 Nomads by childhood
Childhood	%
😊 Happy childhood	89%
😔 Unhappy childhood	11%
n=2,831

👨 Childhood (men)
Childhood	%
😊 Happy childhood	90%
😔 Unhappy childhood	10%
n=2,153

👩 Childhood (women)
Childhood	%
😊 Happy childhood	87%
😔 Unhappy childhood	13%
n=414

🏡 Homeownership amongst nomads
Homeownership	%
🏡 Homeowner	55%
🏡 Not a homeowner	45%
n=3,054

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).

😍 In a relationship

💔 My parents separated

🧒 Only child

🏐 Volleyball

🧬 Longevity

n=32,353

👨‍ Most attractive men's traits
#	Tag	Diff
1	🧬 Longevity	+227%
2	🐢 Slowmad	+222%
3	🍚 Creatine	+192%
4	😍 In a relationship	+135%
5	🎲 Board games	+129%
6	🏸 Padel	+126%
7	💦 Sparkling water	+115%
8	💦 Still water	+89%
9	🏀 Basketball	+79%
10	🏝️ Live near the beach	+78%
11	🥚 Soft boiled eggs	+71%
12	🏡 Homeowner	+70%
13	✨ Believe in astrology	+66%
14	🎧 Dubstep music	+64%
15	💬 LINE	+64%
16	🎧 Hiphop music	+63%
17	💉 Not COVID vaccinated	+63%
18	🏡 Not a homeowner	+61%
19	💬 𝕏	+61%
20	⛳️ Golf	+61%
21	🏂 Skateboarding	+57%
22	❤️ Happy childhood	+56%
23	🏋️‍ Weightlifting	+56%
24	🧑‍ Short hair	+56%
25	👶 Middle child	+55%
26	🎏 Kitesurfing	+53%
27	🏉 Rugby	+53%
28	🏄 Surfing	+53%
29	🎧 House music	+52%
30	🇯🇲 Reggae music	+52%
n=32,353

👱‍♀️ Most attractive women's traits
#	Tag	Diff
1	🐩 Samoyeds	+226%
2	🧒 Only child	+223%
3	💔 My parents separated	+222%
4	🏐 Volleyball	+205%
5	🎾 Tennis	+199%
6	🚬 Social smoker	+191%
7	🛍 Shopping	+189%
8	🏓 Table tennis	+182%
9	🏃 Running	+170%
10	🎧 Trance music	+167%
11	😍 In a relationship	+163%
12	🧼 Clean freak	+162%
13	🏄 Surfing	+148%
14	⛷ Skiing	+144%
15	🗽 Libertarian politics	+144%
16	👨‍🎤 Partying	+142%
17	⬜️ Has no tattoos	+138%
18	🐟 Pescetarian	+131%
19	🚴 Cycling	+122%
20	🥑 Vegan	+115%
21	🥚 Hard boiled eggs	+115%
22	🏍 Motorcycling	+113%
23	🎒 Backpacking	+113%
24	🍺 Beer	+110%
25	🇨🇳 Chinese food	+110%
26	🍁 420	+109%
27	🚐 Vanlife	+108%
28	🌙 Staying up late	+106%
29	💫 Not religious	+103%
30	⛰ Climbing	+103%
n=32,353

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.

😈 FetLife

🗝 Vintage

💃 Fashion

🚫 Teetotaler

💄 Makeup

💎 Jewelry

n=32,353

👨‍ Most unattractive men's traits
#	Tag	Diff
1	😈 FetLife	-2,571%
2	🗝 Vintage	-1,127%
3	💃 Fashion	-947%
4	🚫 Teetotaler	-658%
5	💄 Makeup	-550%
6	💎 Jewelry	-297%
7	🪂 Skydiving	-241%
8	🍶 Ceramics	-189%
9	🇰🇷 K-pop music	-185%
10	🎧 Garage music	-112%
11	🏄 Bodyboarding	-80%
12	😶‍🌫️ Hang gliding	-77%
13	🎳 Bowling	-74%
14	🎭 Swinging	-70%
15	🪂 Paragliding	-41%
16	🎧 Trance music	-38%
17	🏏 Cricket	-29%
18	👨‍🦲 Bald	-26%
19	😎 Single	-25%
20	🐩 Samoyeds	-24%
21	🏍 Motorcycling	-22%
22	🏚 Urbex	-19%
23	👅 Sex positive	-18%
24	🌻 Gardening	-10%
25	😈 Kink	-8%
26	🍖 Paleo	-7%
27	🛍 Shopping	-7%
28	💃 Dancing	-6%
29	🎱 Pool	-6%
30	📔 Religious	-5%
n=32,353

👱‍♀️ Most unattractive women's traits
#	Tag	Diff
1	💥 Messy	-2,161%
2	🌸 Anime	-1,389%
3	🐢 Slowmad	-1,030%
4	🧐 Pessimist	-1,003%
5	🚬 Daily smoker	-1,003%
6	💦 Still water	-892%
7	🧗 Bouldering	-865%
8	👴 Conservative politics	-644%
9	🧬 Longevity	-644%
10	🎤 Podcast	-507%
11	💦 Sparkling water	-507%
12	💬 Snapchat	-424%
13	💃 Fashion	-424%
14	💅 Nails	-396%
15	🇵🇷 Reggaeton music	-341%
16	🗝 Vintage	-314%
17	💬 TikTok	-314%
18	🍚 Creatine	-286%
19	😈 FetLife	-231%
20	🍶 Pottery	-231%
21	🏔️ Live in the mountains	-203%
22	🧶 Knitting	-148%
23	✨ Believe in astrology	-129%
24	🏓 Pickleball	-121%
25	💎 Jewelry	-121%
26	👠 High heels	-121%
27	🏑 Field hockey	-93%
28	⚱️ Luxury brands	-93%
29	🏀 Basketball	-93%
30	💪 Fight sports	-63%
n=32,353

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).

📱 Mobile Dev

📞 Recruitment

🎨 Artist

🤝 Community

📊 SaaS

🎨 UI/UX Design

n=32,353

👨‍ Attractive men's jobs
#	Tag	Diff
1	🎨 Artist	+142%
2	👨‍⚕️ Medical	+76%
3	📞 Recruitment	+68%
4	📊 SaaS	+61%
5	🎨 UI/UX Design	+57%
6	📸 Model	+52%
7	🤝 Consulting	+51%
8	🚚 Logistics	+47%
9	👊 Coach	+45%
10	🤠 Product Manager	+42%
11	🤖 AI model	+41%
12	🛒 Ecommerce	+40%
13	🧠 Psychologist	+35%
14	📱 Mobile Dev	+31%
15	📇 Startup Founder	+31%
16	🗃 Dev Ops	+31%
17	😁 Marketing	+31%
18	📈 Investor	+30%
19	💪 Fitness	+30%
20	💻 Software Dev	+27%
21	📈 Data	+27%
22	🤑 Sales	+26%
23	🏗 Engineering	+26%
24	👾 Game Dev	+25%
25	😎 VR Dev	+21%
26	🤝 Community	+21%
27	🕸 Web Dev	+20%
28	🏃 Sports	+17%
29	💰 Finance	+12%
30	👨‍🏫 Education	+12%
n=32,353

👱‍♀️ Attractive women's jobs
#	Tag	Diff
1	📱 Mobile Dev	+165%
2	📞 Recruitment	+123%
3	🤝 Community	+112%
4	👩‍🎨 Creative	+86%
5	💪 Fitness	+77%
6	💻 Software Dev	+72%
7	📇 Startup Founder	+68%
8	👊 Coach	+68%
9	👨‍🏫 Education	+65%
10	📰 Journalism	+57%
11	🎨 UI/UX Design	+57%
12	📝 Blogging	+56%
13	📊 SaaS	+55%
14	😁 Marketing	+46%
15	🛒 Ecommerce	+38%
16	🕸 Web Dev	+38%
17	🤠 Product Manager	+36%
18	💰 Finance	+20%
n=32,353

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.

🚩 Politics

✈️ Aviation

🌾 Farm life

🏥 Healthcare

👨 Stay-at-home dad

🪖 Military

n=32,353

👨‍ Most unattractive men's jobs
#	Tag	Diff
1	✈️ Aviation	-947%
2	🌾 Farm life	-730%
3	👨 Stay-at-home dad	-514%
4	🪖 Military	-478%
5	🍳 Chef	-405%
6	🚩 Politics	-114%
7	🏥 Healthcare	-102%
8	👩‍💼 Law	-96%
9	🏡 Architecture	-67%
10	📰 Journalism	-63%
11	🏠 Real estate	-61%
12	🌶 Adult	-21%
13	🗺 Geo	-15%
14	🔬 Science	-12%
15	😅 Unemployed	-12%
16	👋 Hospitality	-5%
17	🙂 Support	-1%
n=32,353

👱‍♀️ Most unattractive women's jobs
#	Tag	Diff
1	🚩 Politics	-1,389%
2	🎨 Artist	-700%
3	😎 VR Dev	-644%
4	🏥 Healthcare	-424%
5	🏠 Real estate	-341%
6	🎵 Music	-314%
7	🤖 AI model	-314%
8	📈 Investor	-286%
9	💼 Retired	-176%
10	🛡️ InfoSec	-176%
11	👋 Hospitality	-151%
12	🙂 Support	-37%
13	📹 Content Creator	-35%
14	📈 Data	-33%
15	🏃 Sports	-31%
16	👩‍💼 Law	-21%
17	🤑 Sales	-21%
18	💰 Crypto	-13%
19	🗺 Geo	-8%
n=32,353

Where do attractive people go?

👨‍ Where attractive men travel to
#	City	Attractiveness
1	🇬🇷 Mykonos	5
2	🇮🇩 Uluwatu	4.67
3	🇸🇪 Malmö	4.67
4	🇳🇿 Christchurch	4.64
5	🇪🇸 Ibiza	4.56
6	🇵🇹 Ericeira	4.56
7	🇨🇷 Tamarindo	4.55
8	🇳🇱 Utrecht	4.49
9	🇳🇴 Bergen	4.48
10	🇭🇷 Zadar	4.46
11	🇺🇸 Boston	4.45
12	🇦🇺 Brisbane	4.45
13	🇪🇸 Fuerteventura	4.44
14	🇵🇹 Portimão	4.41
15	🇦🇹 Salzburg	4.39
16	🇺🇸 Honolulu	4.37
17	🇮🇸 Reykjavik	4.37
18	🇧🇦 Sarajevo	4.37
19	🇪🇸 Mallorca	4.37
20	🇳🇿 Queenstown	4.35
21	🇲🇽 Cabo San Lucas	4.34
22	🇹🇭 Ko Lanta	4.34
23	🇦🇺 Melbourne	4.32
24	🇮🇹 Catania	4.32
25	🇬🇷 Santorini	4.31
26	🇳🇿 Auckland	4.31
27	🇲🇦 Marrakesh	4.31
28	🇨🇭 Zurich	4.28
29	🇲🇹 Sliema	4.28
30	🇲🇾 Langkawi	4.27
Based on attractiveness of visitors n=428,982

👱‍♀️ Where attractive women travel to
#	City	Attractiveness
1	🇹🇭 Ko Phi Phi	5
2	🇺🇸 Orlando	4.87
3	🇭🇷 Zadar	4.82
4	🇵🇱 Gdansk	4.8
5	🇵🇱 Wrocław	4.79
6	🇮🇹 Genoa	4.77
7	🇱🇰 Galle	4.69
8	🇻🇳 Nha Trang	4.69
9	🇩🇪 Dresden	4.68
10	🇹🇭 Ko Pha Ngan	4.6
11	🇷🇺 Moscow	4.6
12	🇨🇱 Valparaíso	4.59
13	🇹🇭 Ko Samui	4.59
14	🇳🇱 Rotterdam	4.59
15	🇻🇳 Da Lat	4.59
16	🇺🇦 Kyiv	4.58
17	🇮🇩 Uluwatu	4.58
18	🇩🇴 Punta Cana	4.58
19	🇮🇱 Tel Aviv	4.56
20	🇪🇸 Fuerteventura	4.55
21	🇱🇹 Vilnius	4.55
22	🇦🇺 Cairns	4.54
23	🇬🇷 Mykonos	4.53
24	🇲🇪 Budva	4.53
25	🇬🇷 Rhodes	4.53
26	🇷🇺 Saint Petersburg	4.53
27	🇵🇱 Warsaw	4.53
28	🇺🇸 Chicago	4.52
29	🇬🇪 Batumi	4.52
30	🇮🇹 Amalfi	4.52
Based on attractiveness of visitors n=428,982

And where do unattractive people go?

👨‍ Where unattractive men travel to
#	City	Attractiveness
1	🇹🇭 Pattaya	3.29
2	🇮🇳 Goa	3.41
3	🇻🇳 Phu Quoc	3.41
4	🇱🇦 Vientiane	3.5
5	🇲🇩 Chisinau	3.5
6	🇮🇳 Bengaluru	3.52
7	🇲🇪 Podgorica	3.52
8	🇦🇷 Cordoba	3.55
9	🇬🇪 Batumi	3.56
10	🇳🇵 Kathmandu	3.57
11	🇰🇭 Phnom Penh	3.59
12	🇴🇲 Muscat	3.59
13	🇮🇱 Jerusalem	3.61
14	🇮🇳 Mumbai	3.61
15	🇺🇦 Lviv	3.62
16	🇰🇿 Almaty	3.62
17	🇵🇾 Asuncion	3.62
18	🇯🇵 Hiroshima	3.65
19	🇩🇪 Dusseldorf	3.65
20	🇪🇬 Cairo	3.65
21	🇵🇦 Panama City	3.65
22	🇪🇸 Alicante	3.65
23	🇪🇸 Bilbao	3.66
24	🇮🇹 Turin	3.67
25	🇵🇱 Gdansk	3.67
26	🇵🇱 Wrocław	3.67
27	🇳🇱 Rotterdam	3.68
28	🇮🇩 Kuta	3.68
29	🇯🇵 Fukuoka	3.68
30	🇺🇸 Seattle	3.68
Based on unattractiveness of visitors n=428,982

👱‍♀️ Where unattractive women travel to
#	City	Attractiveness
1	🇪🇨 Quito	3.16
2	🇳🇿 Wellington	3.2
3	🇰🇪 Nairobi	3.32
4	🇨🇳 Macau	3.34
5	🇱🇰 Weligama	3.37
6	🇯🇵 Hiroshima	3.38
7	🇯🇵 Fukuoka	3.4
8	🇵🇷 San Juan	3.41
9	🇦🇺 Perth	3.44
10	🇯🇴 Amman	3.5
11	🇨🇳 Shenzhen	3.51
12	🇨🇴 Santa Marta	3.53
13	🇪🇨 Cuenca	3.55
14	🇨🇦 Quebec City	3.56
15	🇵🇾 Asuncion	3.56
16	🇲🇽 Merida	3.57
17	🇱🇰 Colombo	3.6
18	🇨🇴 Bogota	3.61
19	🇩🇴 Santo Domingo	3.62
20	🇯🇲 Montego Bay	3.65
21	🇫🇷 Lyon	3.66
22	🇱🇦 Vientiane	3.66
23	🇲🇽 Cozumel	3.67
24	🇧🇦 Sarajevo	3.67
25	🇳🇿 Queenstown	3.67
26	🇰🇭 Phnom Penh	3.68
27	🇵🇦 Panama City	3.68
28	🇬🇧 Glasgow	3.68
29	🇰🇷 Jeju Island	3.69
30	🇧🇬 Bansko	3.7
Based on unattractiveness of visitors n=428,982

Where do the most educated nomads travel?

Share of the visiting nomads who travel to each city (locals excluded) who hold a 🎓 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.

🎓 Where the most educated people travel to
#	City	Graduate degree
1	🇨🇾 Larnaca	47%
2	🇧🇾 Minsk	46%
3	🇺🇸 Boston	45%
4	🇵🇹 Madeira	45%
5	🇵🇱 Wrocław	43%
6	🇱🇺 Luxembourg	43%
7	🇪🇸 Fuerteventura	43%
8	🇱🇧 Beirut	43%
9	🇷🇴 Brasov	43%
10	🇺🇸 Seattle	43%
11	🇲🇩 Chisinau	43%
12	🇨🇾 Limassol	43%
13	🇲🇦 Taghazout	43%
14	🇱🇰 Weligama	42%
15	🇦🇩 Andorra la Vella	42%
16	🇬🇪 Batumi	42%
17	🇵🇹 Azores	42%
18	🇪🇪 Tallinn	42%
19	🇨🇦 Montreal	42%
20	🇳🇱 The Hague	42%
21	🇰🇬 Bishkek	42%
22	🇩🇴 Santo Domingo	42%
23	🇨🇭 Geneva	42%
24	🇬🇷 Thessaloniki	42%
25	🇱🇻 Riga	42%
26	🇦🇲 Yerevan	42%
27	🇮🇹 Genoa	41%
28	🇸🇮 Ljubljana	41%
29	🇧🇬 Bansko	41%
30	🇧🇷 Florianopolis	41%
Share of visiting nomads with a graduate degree n=122,199 nomads

🚌 Where the least educated people travel to
#	City	Graduate degree
1	🇲🇽 Cabo San Lucas	26%
2	🇹🇭 Ko Phi Phi	27%
3	🇲🇦 Tangier	27%
4	🇨🇷 Tamarindo	28%
5	🇹🇭 Krabi	28%
6	🇲🇽 Guadalajara	29%
7	🇲🇽 Sayulita	29%
8	🇲🇽 San Miguel de Allende	30%
9	🇨🇳 Guangzhou	30%
10	🇮🇩 Jakarta	31%
11	🇹🇭 Ao Nang	31%
12	🇮🇩 Seminyak	31%
13	🇬🇹 Antigua	31%
14	🇹🇭 Pattaya	31%
15	🇯🇵 Hiroshima	31%
16	🇻🇳 Hue	31%
17	🇯🇵 Osaka	31%
18	🇨🇷 Santa Teresa	32%
19	🇬🇷 Mykonos	32%
20	🇦🇺 Perth	32%
21	🇳🇱 Utrecht	32%
22	🇻🇳 Da Nang	32%
23	🇹🇭 Pai	32%
24	🇲🇽 San Cristóbal de las Casas	32%
25	🇪🇸 San Sebastian	32%
26	🇹🇼 Taipei	32%
27	🇱🇰 Colombo	32%
28	🇦🇺 Brisbane	32%
29	🇱🇦 Vientiane	32%
30	🇲🇽 Mexico City	32%
Share of visiting nomads with a graduate degree n=122,199 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.

🐣 Youngest visiting nomads
#	City	Median age
1	🇰🇿 Almaty	33 yrs
2	🇺🇿 Tashkent	33 yrs
3	🇹🇷 Ankara	33 yrs
4	🇮🇹 Pisa	33 yrs
5	🇮🇩 Uluwatu	34 yrs
6	🇵🇱 Warsaw	34 yrs
7	🇵🇭 Siargao	34 yrs
8	🇨🇳 Chengdu	34 yrs
9	🇨🇳 Guangzhou	34 yrs
10	🇬🇪 Batumi	34 yrs
11	🇹🇷 Antalya	34 yrs
12	🇺🇸 Minneapolis	34 yrs
13	🇲🇦 Taghazout	34 yrs
14	🇨🇿 Brno	34 yrs
15	🇦🇲 Yerevan	34 yrs
16	🇶🇦 Doha	34 yrs
17	🇮🇹 Milan	34 yrs
18	🇦🇷 Bariloche	34 yrs
19	🇬🇪 Kutaisi	34 yrs
20	🇺🇸 Raleigh	34 yrs
21	🇸🇪 Gothenburg	34 yrs
22	🇺🇸 Asheville	34 yrs
23	🇬🇧 Oxford	34 yrs
24	🇺🇸 Detroit	34 yrs
25	🇺🇸 Charlotte	34 yrs
26	🇺🇸 Phoenix	34 yrs
27	🇬🇧 Cambridge	34 yrs
28	🇲🇻 Male	34 yrs
29	🇫🇷 Chamonix	34 yrs
30	🇻🇦 Vatican City	34 yrs
Median age of visiting nomads (locals excluded)n=199,713 nomads

🧓 Oldest visiting nomads
#	City	Median age
1	🇲🇽 San Miguel de Allende	41 yrs
2	🇧🇷 Recife	40 yrs
3	🇲🇽 Puebla	39 yrs
4	🇳🇿 Wellington	39 yrs
5	🇮🇳 Hyderabad	39 yrs
6	🇲🇲 Yangon	38 yrs
7	🇹🇭 Hua Hin	38 yrs
8	🇨🇷 Puerto Viejo	38 yrs
9	🇺🇸 St. Louis	38 yrs
10	🇲🇽 Merida	38 yrs
11	🇧🇷 Fortaleza	38 yrs
12	🇹🇭 Ko Lanta	38 yrs
13	🇪🇨 Cuenca	38 yrs
14	🇨🇦 Quebec City	37.5 yrs
15	🇮🇪 Galway	37.5 yrs
16	🇪🇸 San Sebastian	37.5 yrs
17	🇺🇸 Tampa	37.5 yrs
18	🇲🇽 Puerto Vallarta	37 yrs
19	🇱🇧 Beirut	37 yrs
20	🇲🇽 Sayulita	37 yrs
21	🇬🇧 Belfast	37 yrs
22	🇧🇸 Nassau	37 yrs
23	🇫🇷 Montpellier	37 yrs
24	🇪🇸 Tarifa	37 yrs
25	🇦🇩 Andorra la Vella	37 yrs
26	🇲🇽 Isla Mujeres	37 yrs
27	🇬🇮 Gibraltar	37 yrs
28	🇵🇦 Bocas del Toro	37 yrs
29	🇨🇱 Valparaíso	37 yrs
30	🇪🇸 Granada	37 yrs
Median age of visiting nomads (locals excluded)n=199,713 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.

💰 Highest-earning visitors
#	City	Median income
1	🇨🇦 Vancouver	$125,000
2	🇯🇵 Tokyo	$100,000
3	🇺🇸 New York City	$100,000
4	🇩🇰 Copenhagen	$100,000
5	🇿🇦 Cape Town	$100,000
6	🇲🇽 Mexico City	$100,000
7	🇳🇿 Auckland	$100,000
8	🇸🇮 Ljubljana	$100,000
9	🇮🇳 Delhi	$100,000
10	🇧🇷 Rio de Janeiro	$100,000
11	🇦🇺 Sydney	$100,000
12	🇺🇸 Boston	$100,000
13	🇹🇼 Taipei	$100,000
14	🇦🇷 Buenos Aires	$100,000
15	🇨🇦 Montreal	$100,000
16	🇲🇦 Marrakesh	$100,000
17	🇺🇸 Austin	$100,000
18	🇸🇪 Stockholm	$100,000
19	🇨🇴 Bogota	$100,000
20	🇨🇦 Toronto	$100,000
21	🇺🇸 Miami	$100,000
22	🇯🇵 Kyoto	$100,000
23	🇨🇭 Zurich	$100,000
24	🇧🇷 Florianopolis	$100,000
25	🇨🇴 Medellín	$100,000
26	🇭🇰 Hong Kong	$100,000
27	🇨🇭 Geneva	$100,000
28	🇦🇪 Dubai	$100,000
29	🇮🇸 Reykjavik	$100,000
30	🇺🇸 San Francisco	$100,000
Median self-reported income of visiting nomadsn=46,507 nomads

🪙 Lowest-earning visitors
#	City	Median income
1	🇦🇲 Yerevan	$70,000
2	🇰🇿 Almaty	$70,000
3	🇵🇭 Cebu	$70,000
4	🇬🇪 Batumi	$70,000
5	🇰🇭 Phnom Penh	$72,500
6	🇹🇭 Pattaya	$75,000
7	🇻🇳 Hoi An	$75,000
8	🇹🇷 Antalya	$75,000
9	🇹🇭 Ko Pha Ngan	$75,000
10	🇲🇾 Penang	$75,000
11	🇲🇰 Skopje	$75,000
12	🇧🇬 Bansko	$75,000
13	🇰🇷 Busan	$75,000
14	🇬🇪 Tbilisi	$75,000
15	🇻🇳 Da Nang	$75,000
16	🇲🇾 Kuala Lumpur	$75,000
17	🇻🇦 Vatican City	$80,000
18	🇱🇺 Luxembourg	$80,000
19	🇹🇭 Ko Tao	$80,000
20	🇪🇸 Tenerife	$80,000
21	🇱🇰 Colombo	$80,000
22	🇹🇭 Phuket	$80,000
23	🇹🇭 Ko Lanta	$80,000
24	🇷🇸 Belgrade	$80,000
25	🇮🇩 Jakarta	$80,000
26	🇯🇵 Fukuoka	$80,000
27	🇰🇭 Siem Reap	$80,000
28	🇻🇳 Hanoi	$80,000
29	🇹🇭 Krabi	$80,000
30	🇹🇷 Istanbul	$80,000
Median self-reported income of visiting nomadsn=46,507 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.

🌍 Most international crowd
#	City	Nationality mix
1	🇺🇸 Denver	96%
2	🇺🇸 San Francisco	96%
3	🇺🇸 New York City	96%
4	🇺🇸 Houston	95%
5	🇺🇸 Washington	95%
6	🇺🇸 Boston	95%
7	🇺🇸 Los Angeles	95%
8	🇲🇾 Langkawi	95%
9	🇺🇸 Las Vegas	95%
10	🇺🇸 Miami	95%
11	🇺🇸 Chicago	95%
12	🇱🇰 Weligama	95%
13	🇮🇩 Gili Trawangan	95%
14	🇨🇿 Brno	95%
15	🇱🇰 Colombo	95%
16	🇪🇸 Tenerife	94%
17	🇬🇪 Kutaisi	94%
18	🇺🇸 Seattle	94%
19	🇮🇩 Uluwatu	94%
20	🇦🇪 Abu Dhabi	94%
21	🇮🇩 Denpasar	94%
22	🇪🇬 Dahab	94%
23	🇺🇸 San Diego	94%
24	🇹🇭 Hua Hin	94%
25	🇦🇪 Dubai	94%
26	🇬🇷 Rhodes	94%
27	🇧🇬 Varna	94%
28	🇺🇸 New Orleans	94%
29	🇮🇩 Kuta	94%
30	🇹🇭 Ko Samui	93%
How mixed the visiting nomads’ nationalities aren=164,064 nomads

📍 Least international crowd
#	City	Nationality mix
1	🇲🇽 Cabo San Lucas	41%
2	🇵🇷 San Juan	47%
3	🇲🇽 San Miguel de Allende	47%
4	🇪🇨 Cuenca	55%
5	🇲🇽 Sayulita	56%
6	🇲🇽 Puerto Vallarta	58%
7	🇧🇸 Nassau	64%
8	🇨🇷 Tamarindo	65%
9	🇲🇽 Cozumel	67%
10	🇲🇽 Guadalajara	69%
11	🇨🇷 Santa Teresa	70%
12	🇬🇹 Antigua	71%
13	🇬🇹 Guatemala City	72%
14	🇲🇽 Mexico City	72%
15	🇪🇨 Quito	72%
16	🇲🇽 Merida	73%
17	🇨🇴 Medellín	74%
18	🇨🇦 Vancouver	75%
19	🇲🇽 Oaxaca	75%
20	🇳🇮 San Juan del Sur	75%
21	🇲🇽 Tulum	76%
22	🇨🇦 Quebec City	76%
23	🇮🇹 Amalfi	76%
24	🇵🇦 Bocas del Toro	76%
25	🇨🇷 San José	76%
26	🇮🇸 Reykjavik	76%
27	🇸🇻 San Salvador	77%
28	🇨🇦 Calgary	77%
29	🇲🇽 Playa del Carmen	78%
30	🇨🇴 Cartagena	78%
How mixed the visiting nomads’ nationalities aren=164,064 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).

👨‍💻 Most developer-heavy visitors
#	City	Developers
1	🇬🇪 Batumi	67%
2	🇰🇿 Almaty	67%
3	🇺🇿 Tashkent	63%
4	🇨🇾 Larnaca	63%
5	🇰🇬 Bishkek	63%
6	🇦🇲 Yerevan	62%
7	🇷🇴 Cluj	62%
8	🇧🇾 Minsk	62%
9	🇵🇱 Wrocław	61%
10	🇹🇼 Kaohsiung	61%
11	🇻🇳 Da Lat	61%
12	🇫🇷 Lyon	61%
13	🇮🇩 Denpasar	61%
14	🇹🇷 Antalya	61%
15	🇯🇵 Hiroshima	61%
16	🇹🇭 Pattaya	60%
17	🇷🇸 Novi Sad	60%
18	🇯🇵 Fukuoka	60%
19	🇯🇵 Osaka	60%
20	🇺🇸 San Francisco	59%
21	🇵🇱 Kraków	59%
22	🇻🇳 Phu Quoc	59%
23	🇺🇸 Orlando	59%
24	🇮🇳 Bengaluru	59%
25	🇬🇪 Tbilisi	59%
26	🇷🇸 Belgrade	59%
27	🇲🇾 Langkawi	59%
28	🇷🇺 Moscow	59%
29	🇧🇪 Antwerp	59%
30	🇳🇴 Oslo	59%
Share of visiting nomads who are developersn=151,804 nomads

🌴 Fewest developers
#	City	Developers
1	🇲🇽 Cabo San Lucas	36%
2	🇧🇷 Salvador	39%
3	🇪🇨 Cuenca	39%
4	🇳🇮 San Juan del Sur	41%
5	🇲🇽 Tulum	41%
6	🇨🇴 Santa Marta	42%
7	🇩🇴 Santo Domingo	42%
8	🇲🇽 Oaxaca	42%
9	🇲🇽 Sayulita	42%
10	🇲🇽 San Miguel de Allende	42%
11	🇬🇹 Antigua	42%
12	🇲🇽 Puerto Vallarta	42%
13	🇲🇽 Merida	42%
14	🇿🇦 Cape Town	43%
15	🇨🇷 Santa Teresa	43%
16	🇪🇸 San Sebastian	43%
17	🇱🇧 Beirut	44%
18	🇩🇴 Punta Cana	44%
19	🇵🇦 Bocas del Toro	44%
20	🇯🇴 Amman	45%
21	🇦🇷 El Calafate	45%
22	🇰🇪 Nairobi	45%
23	🇪🇨 Quito	45%
24	🇮🇹 Lake Como	45%
25	🇦🇺 Perth	45%
26	🇨🇺 Havana	45%
27	🇲🇦 Essaouira	45%
28	🇬🇷 Mykonos	45%
29	🇲🇽 Isla Mujeres	45%
30	🇧🇬 Bansko	45%
Share of visiting nomads who are developersn=151,804 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).

🚀 Most founder-heavy visitors
#	City	Founders
1	🇺🇸 San Francisco	47%
2	🇪🇸 Marbella	46%
3	🇨🇳 Shenzhen	46%
4	🇮🇹 Lake Como	45%
5	🇺🇸 Boston	44%
6	🇺🇸 New Orleans	44%
7	🇺🇸 Dallas	43%
8	🇴🇲 Muscat	42%
9	🇦🇺 Perth	41%
10	🇺🇸 Las Vegas	41%
11	🇺🇦 Kyiv	41%
12	🇺🇸 Los Angeles	41%
13	🇭🇰 Hong Kong	40%
14	🇫🇷 Cannes	40%
15	🇦🇪 Dubai	40%
16	🇦🇪 Abu Dhabi	40%
17	🇺🇸 New York City	40%
18	🇲🇨 Monaco	40%
19	🇨🇳 Guangzhou	40%
20	🇶🇦 Doha	39%
21	🇩🇪 Hamburg	39%
22	🇺🇸 Washington	39%
23	🇮🇩 Canggu	39%
24	🇮🇩 Denpasar	39%
25	🇺🇸 Seattle	39%
26	🇨🇾 Larnaca	39%
27	🇺🇸 Denver	39%
28	🇧🇸 Nassau	39%
29	🇮🇳 Bengaluru	39%
30	🇮🇳 Goa	39%
Share of visiting nomads who are foundersn=151,804 nomads

🧑‍🏭 Fewest founders
#	City	Founders
1	🇦🇷 Bariloche	23%
2	🇦🇷 El Calafate	25%
3	🇵🇪 Arequipa	26%
4	🇬🇧 Glasgow	27%
5	🇲🇽 Merida	27%
6	🇪🇨 Cuenca	27%
7	🇲🇽 Guadalajara	27%
8	🇦🇷 Mendoza	27%
9	🇧🇦 Sarajevo	27%
10	🇨🇷 Puerto Viejo	27%
11	🇦🇱 Sarandë	27%
12	🇲🇽 Puerto Escondido	27%
13	🇲🇽 San Cristóbal de las Casas	27%
14	🇧🇦 Mostar	27%
15	🇪🇸 Granada	27%
16	🇲🇽 Oaxaca	28%
17	🇧🇬 Plovdiv	28%
18	🇰🇷 Busan	28%
19	🇬🇧 Liverpool	28%
20	🇳🇿 Christchurch	28%
21	🇪🇨 Quito	28%
22	🇨🇷 Santa Teresa	28%
23	🇵🇪 Cusco	28%
24	🇭🇷 Zadar	28%
25	🇦🇷 Cordoba	28%
26	🇲🇪 Kotor	28%
27	🇩🇴 Punta Cana	29%
28	🇨🇴 Santa Marta	29%
29	🇮🇹 Bologna	29%
30	🇧🇴 La Paz	29%
Share of visiting nomads who are foundersn=151,804 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).

🎨 Most designer-heavy visitors
#	City	Designers
1	🇪🇸 San Sebastian	38%
2	🇦🇺 Perth	37%
3	🇺🇸 Los Angeles	35%
4	🇺🇸 Portland	35%
5	🇲🇦 Essaouira	35%
6	🇨🇳 Shanghai	35%
7	🇫🇷 Cannes	35%
8	🇦🇺 Melbourne	35%
9	🇧🇪 Antwerp	34%
10	🇪🇸 Bilbao	34%
11	🇲🇦 Tangier	34%
12	🇲🇾 Penang	34%
13	🇧🇸 Nassau	34%
14	🇵🇹 Faro	34%
15	🇰🇭 Phnom Penh	34%
16	🇲🇽 Tulum	34%
17	🇺🇸 New Orleans	34%
18	🇹🇷 Izmir	33%
19	🇺🇸 San Francisco	33%
20	🇱🇰 Colombo	33%
21	🇫🇷 Montpellier	33%
22	🇨🇳 Beijing	33%
23	🇲🇾 Langkawi	33%
24	🇩🇪 Berlin	33%
25	🇹🇭 Ko Pha Ngan	33%
26	🇨🇷 Puerto Viejo	33%
27	🇨🇳 Guangzhou	33%
28	🇺🇸 Dallas	33%
29	🇵🇭 Siargao	33%
30	🇳🇴 Tromso	33%
Share of visiting nomads who are designersn=151,804 nomads

🔧 Fewest designers
#	City	Designers
1	🇵🇾 Asuncion	19%
2	🇦🇷 Bariloche	22%
3	🇺🇸 Denver	22%
4	🇨🇾 Limassol	22%
5	🇦🇷 Ushuaia	23%
6	🇦🇩 Andorra la Vella	23%
7	🇪🇬 Dahab	23%
8	🇲🇪 Podgorica	23%
9	🇰🇷 Jeju Island	24%
10	🇭🇷 Zadar	24%
11	🇱🇹 Vilnius	24%
12	🇦🇷 El Calafate	24%
13	🇮🇹 Verona	24%
14	🇰🇿 Almaty	24%
15	🇬🇷 Rhodes	24%
16	🇧🇷 Foz do Iguaçu	24%
17	🇩🇴 Santo Domingo	24%
18	🇧🇾 Minsk	24%
19	🇱🇺 Luxembourg	25%
20	🇨🇾 Paphos	25%
21	🇦🇿 Baku	25%
22	🇮🇩 Sanur	25%
23	🇸🇪 Gothenburg	25%
24	🇦🇷 Mendoza	25%
25	🇺🇸 Atlanta	25%
26	🇦🇲 Yerevan	25%
27	🇬🇪 Tbilisi	25%
28	🇲🇦 Casablanca	25%
29	🇺🇾 Montevideo	25%
30	🇨🇾 Larnaca	25%
Share of visiting nomads who are designersn=151,804 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).

💪 Fittest visiting nomads
#	City	Gym / strength
1	🇵🇹 Ericeira	56%
2	🇨🇴 Medellín	52%
3	🇮🇩 Uluwatu	52%
4	🇹🇭 Ko Samui	50%
5	🇲🇽 Playa del Carmen	50%
6	🇵🇭 Siargao	50%
7	🇩🇴 Santo Domingo	50%
8	🇧🇷 Florianopolis	50%
9	🇨🇴 Cali	50%
10	🇨🇷 Santa Teresa	50%
11	🇶🇦 Doha	50%
12	🇹🇭 Krabi	49%
13	🇨🇷 Tamarindo	49%
14	🇧🇷 Rio de Janeiro	49%
15	🇭🇷 Hvar	49%
16	🇵🇦 Panama City	49%
17	🇹🇭 Ko Pha Ngan	49%
18	🇨🇷 Puerto Viejo	49%
19	🇮🇩 Canggu	49%
20	🇵🇷 San Juan	49%
21	🇨🇴 Cartagena	49%
22	🇺🇸 Miami	48%
23	🇪🇸 Marbella	48%
24	🇲🇽 Guadalajara	48%
25	🇪🇸 Fuerteventura	48%
26	🇧🇷 São Paulo	48%
27	🇪🇸 Mallorca	48%
28	🇦🇪 Abu Dhabi	48%
29	🇭🇷 Dubrovnik	48%
30	🇪🇸 Lanzarote	48%
Share of visiting nomads into gym & strength trainingn=148,461 nomads

🛋️ Least gym-going visitors
#	City	Gym / strength
1	🇳🇱 The Hague	31%
2	🇬🇧 Glasgow	33%
3	🇹🇷 Izmir	34%
4	🇮🇩 Yogyakarta	34%
5	🇧🇬 Plovdiv	34%
6	🇲🇽 San Miguel de Allende	35%
7	🇺🇿 Tashkent	35%
8	🇬🇧 Belfast	35%
9	🇮🇳 Jaipur	35%
10	🇳🇴 Bergen	35%
11	🇧🇾 Minsk	35%
12	🇦🇷 Ushuaia	35%
13	🇧🇦 Sarajevo	36%
14	🇷🇸 Novi Sad	36%
15	🇰🇿 Almaty	36%
16	🇧🇦 Mostar	36%
17	🇵🇪 Arequipa	36%
18	🇹🇭 Chiang Rai	36%
19	🇦🇲 Yerevan	36%
20	🇨🇱 San Pedro de Atacama	37%
21	🇨🇳 Chengdu	37%
22	🇫🇷 Lyon	37%
23	🇲🇽 San Cristóbal de las Casas	37%
24	🇬🇧 Edinburgh	37%
25	🇲🇦 Fes	37%
26	🇦🇷 Cordoba	37%
27	🇺🇸 Portland	37%
28	🇩🇪 Dusseldorf	37%
29	🇲🇩 Chisinau	37%
30	🇬🇧 Liverpool	38%
Share of visiting nomads into gym & strength trainingn=148,461 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).

🍺 Biggest drinkers
#	City	Drinks
1	🇦🇷 Mendoza	71%
2	🇻🇳 Hue	65%
3	🇨🇺 Havana	65%
4	🇺🇾 Montevideo	65%
5	🇮🇪 Dublin	64%
6	🇭🇷 Dubrovnik	64%
7	🇨🇴 Santa Marta	64%
8	🇦🇷 Cordoba	64%
9	🇮🇹 Florence	64%
10	🇲🇽 Isla Mujeres	64%
11	🇬🇧 Manchester	64%
12	🇵🇭 Boracay	64%
13	🇦🇷 Bariloche	64%
14	🇲🇽 Cancun	64%
15	🇵🇷 San Juan	64%
16	🇺🇸 Orlando	63%
17	🇭🇷 Split	63%
18	🇳🇿 Queenstown	63%
19	🇪🇸 Seville	63%
20	🇻🇦 Vatican City	63%
21	🇮🇸 Reykjavik	63%
22	🇪🇨 Quito	63%
23	🇩🇪 Cologne	63%
24	🇺🇸 New Orleans	63%
25	🇭🇷 Zadar	63%
26	🇯🇵 Sapporo	63%
27	🇬🇷 Santorini	63%
28	🇧🇸 Nassau	63%
29	🇹🇭 Ko Lanta	63%
30	🇬🇹 Antigua	63%
Share of visiting nomads who like alcoholn=148,461 nomads

🚱 Most sober visitors
#	City	Drinks
1	🇨🇳 Shenzhen	49%
2	🇹🇳 Tunis	49%
3	🇵🇹 Portimão	49%
4	🇮🇹 Lake Como	50%
5	🇳🇱 Utrecht	50%
6	🇩🇪 Stuttgart	51%
7	🇲🇩 Chisinau	51%
8	🇨🇳 Guangzhou	51%
9	🇦🇪 Abu Dhabi	52%
10	🇮🇩 Jakarta	52%
11	🇷🇺 Moscow	52%
12	🇸🇻 San Salvador	52%
13	🇴🇲 Muscat	52%
14	🇮🇳 Bengaluru	52%
15	🇮🇩 Ubud	52%
16	🇧🇾 Minsk	52%
17	🇲🇪 Podgorica	52%
18	🇨🇳 Shanghai	53%
19	🇮🇩 Sanur	53%
20	🇨🇭 Geneva	53%
21	🇰🇷 Seoul	53%
22	🇵🇭 Manila	53%
23	🇦🇪 Dubai	53%
24	🇺🇸 Honolulu	53%
25	🇷🇴 Timisoara	53%
26	🇮🇩 Uluwatu	53%
27	🇵🇭 Siargao	53%
28	🇲🇦 Taghazout	53%
29	🇳🇵 Pokhara	53%
30	🇹🇭 Hua Hin	53%
Share of visiting nomads who like alcoholn=148,461 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).

🎉 Biggest partiers
#	City	Parties
1	🇪🇸 Ibiza	28%
2	🇬🇷 Mykonos	25%
3	🇭🇷 Hvar	25%
4	🇧🇷 Rio de Janeiro	22%
5	🇲🇦 Tangier	21%
6	🇭🇷 Split	21%
7	🇬🇹 Guatemala City	21%
8	🇨🇴 Santa Marta	21%
9	🇮🇳 Goa	21%
10	🇨🇴 Cartagena	21%
11	🇹🇭 Ko Phi Phi	21%
12	🇨🇺 Havana	21%
13	🇹🇭 Ko Pha Ngan	21%
14	🇹🇭 Ko Tao	21%
15	🇹🇭 Pattaya	20%
16	🇲🇽 Tulum	20%
17	🇨🇦 Montreal	20%
18	🇨🇴 Bogota	20%
19	🇧🇷 Salvador	20%
20	🇮🇩 Seminyak	20%
21	🇲🇽 Playa del Carmen	20%
22	🇲🇦 Fes	20%
23	🇮🇩 Gili Air	20%
24	🇲🇨 Monaco	20%
25	🇨🇴 Medellín	20%
26	🇲🇽 Cabo San Lucas	20%
27	🇱🇰 Colombo	20%
28	🇮🇩 Denpasar	20%
29	🇫🇷 Marseille	20%
30	🇮🇳 Mumbai	20%
Share of visiting nomads who like partyingn=148,461 nomads

😴 Quietest visitors
#	City	Parties
1	🇸🇪 Malmö	10%
2	🇩🇪 Hamburg	10%
3	🇮🇩 Sanur	10%
4	🇷🇸 Novi Sad	10%
5	🇮🇹 Lake Como	11%
6	🇨🇳 Chengdu	11%
7	🇮🇹 Verona	12%
8	🇧🇪 Antwerp	12%
9	🇵🇱 Wrocław	12%
10	🇲🇦 Essaouira	12%
11	🇧🇾 Minsk	12%
12	🇦🇲 Yerevan	12%
13	🇺🇿 Tashkent	12%
14	🇰🇬 Bishkek	12%
15	🇱🇰 Weligama	12%
16	🇺🇸 Dallas	12%
17	🇸🇪 Gothenburg	12%
18	🇲🇽 San Miguel de Allende	13%
19	🇬🇪 Tbilisi	13%
20	🇵🇾 Asuncion	13%
21	🇴🇲 Muscat	13%
22	🇮🇳 Bengaluru	13%
23	🇹🇭 Chiang Rai	13%
24	🇮🇱 Jerusalem	13%
25	🇬🇧 Glasgow	13%
26	🇦🇹 Salzburg	13%
27	🇮🇹 Pisa	13%
28	🇧🇬 Plovdiv	13%
29	🇲🇻 Male	13%
30	🇵🇭 Siargao	13%
Share of visiting nomads who like partyingn=148,461 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).

💘 Most single visitors
#	City	Single
1	🇨🇴 Medellín	79%
2	🇵🇭 Cebu	76%
3	🇲🇽 Puerto Escondido	75%
4	🇪🇨 Quito	74%
5	🇧🇷 Rio de Janeiro	74%
6	🇧🇷 Florianopolis	74%
7	🇰🇪 Nairobi	74%
8	🇨🇴 Cartagena	74%
9	🇬🇹 Antigua	74%
10	🇪🇬 Cairo	73%
11	🇨🇷 San José	73%
12	🇵🇦 Panama City	73%
13	🇧🇬 Bansko	73%
14	🇪🇸 Ibiza	73%
15	🇦🇷 Buenos Aires	73%
16	🇵🇪 Lima	73%
17	🇵🇭 Manila	73%
18	🇵🇾 Asuncion	73%
19	🇯🇴 Amman	73%
20	🇵🇪 Cusco	72%
21	🇲🇽 Mexico City	72%
22	🇮🇩 Canggu	72%
23	🇪🇸 Valencia	72%
24	🇪🇸 Gran Canaria	72%
25	🇹🇼 Taipei	72%
26	🇧🇷 São Paulo	72%
27	🇭🇷 Zagreb	72%
28	🇦🇱 Tirana	72%
29	🇨🇴 Bogota	72%
30	🇲🇽 Playa del Carmen	72%
Share of visiting nomads who are singlen=69,926 nomads

💍 Most coupled-up visitors
#	City	Single
1	🇹🇭 Ko Phi Phi	58%
2	🇻🇦 Vatican City	59%
3	🇨🇾 Larnaca	60%
4	🇲🇾 Penang	60%
5	🇦🇹 Salzburg	60%
6	🇩🇪 Frankfurt	60%
7	🇱🇰 Colombo	60%
8	🇹🇭 Ko Lanta	61%
9	🇺🇸 Seattle	61%
10	🇦🇪 Abu Dhabi	61%
11	🇺🇸 Austin	62%
12	🇹🇭 Krabi	62%
13	🇲🇹 Sliema	62%
14	🇷🇺 Moscow	62%
15	🇧🇪 Bruges	62%
16	🇹🇷 Antalya	62%
17	🇳🇴 Oslo	62%
18	🇷🇺 Saint Petersburg	62%
19	🇨🇺 Havana	63%
20	🇭🇰 Hong Kong	63%
21	🇺🇸 Las Vegas	63%
22	🇨🇦 Vancouver	63%
23	🇮🇹 Milan	63%
24	🇫🇷 Paris	64%
25	🇺🇸 San Francisco	64%
26	🇰🇭 Siem Reap	64%
27	🇩🇪 Cologne	64%
28	🇺🇸 Los Angeles	64%
29	🇩🇴 Punta Cana	64%
30	🇺🇸 San Diego	64%
Share of visiting nomads who are singlen=69,926 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.

🏆 Most attractive, rich & educated
#	City	Score
1	🇺🇸 Boston	90%
2	🇨🇭 Geneva	86%
3	🇨🇭 Zurich	85%
4	🇿🇦 Cape Town	82%
5	🇮🇸 Reykjavik	77%
6	🇧🇷 Florianopolis	76%
7	🇸🇪 Stockholm	76%
8	🇮🇱 Tel Aviv	75%
9	🇧🇷 Rio de Janeiro	74%
10	🇺🇸 New York City	73%
11	🇪🇸 Ibiza	70%
12	🇩🇰 Copenhagen	70%
13	🇲🇽 Tulum	70%
14	🇳🇴 Oslo	69%
15	🇨🇦 Montreal	68%
16	🇲🇦 Marrakesh	67%
17	🇸🇮 Ljubljana	65%
18	🇩🇪 Munich	65%
19	🇧🇷 São Paulo	65%
20	🇮🇹 Palermo	64%
21	🇮🇹 Naples	63%
22	🇪🇸 Mallorca	62%
23	🇨🇴 Cartagena	62%
24	🇵🇹 Madeira	62%
25	🇲🇽 Puerto Escondido	61%
26	🇵🇹 Lisbon	60%
27	🇫🇷 Nice	60%
28	🇱🇻 Riga	60%
29	🇮🇪 Dublin	60%
30	🇧🇦 Sarajevo	59%
Blend of attractiveness, income & education of visiting nomadsn=46,507 nomads

🏖️ Least attractive, lowest income & least educated
#	City	Score
1	🇹🇭 Pattaya	2%
2	🇻🇳 Da Nang	6%
3	🇱🇰 Colombo	7%
4	🇵🇭 Cebu	10%
5	🇲🇾 Kuala Lumpur	13%
6	🇹🇭 Phuket	13%
7	🇻🇳 Ho Chi Minh City	15%
8	🇵🇭 Manila	15%
9	🇮🇩 Jakarta	16%
10	🇰🇭 Phnom Penh	16%
11	🇦🇱 Tirana	18%
12	🇮🇩 Seminyak	19%
13	🇻🇳 Hanoi	20%
14	🇯🇵 Fukuoka	21%
15	🇹🇭 Krabi	21%
16	🇹🇭 Bangkok	24%
17	🇰🇭 Siem Reap	24%
18	🇺🇾 Montevideo	24%
19	🇯🇵 Osaka	25%
20	🇲🇾 Penang	26%
21	🇰🇿 Almaty	27%
22	🇷🇸 Belgrade	27%
23	🇺🇸 Las Vegas	28%
24	🇹🇼 Taipei	28%
25	🇻🇳 Hoi An	30%
26	🇸🇰 Bratislava	31%
27	🇪🇨 Quito	31%
28	🇰🇷 Busan	31%
29	🇵🇾 Asuncion	32%
30	🇸🇬 Singapore	32%
Blend of attractiveness, income & education of visiting nomadsn=46,507 nomads