Who is the average nomad?

👶 34-year old

🏳️‍🌈 Progressive

💫 Not religious

😎 Single

✋🏻 White

👋 Heterosexual

👨 ‍ Man

🎓 with a
Bachelor's

💻 works as a
Software Dev

🏡 from
a Home office

💰 makes
$90,000 / y

☕️ loves
Coffee

🥩 eats meat

🥾 works out by
Hiking

🇯🇵 loves
Tokyo most

💉 is vaccinated

🍃 produces 78% less CO₂

8️⃣ and stays for
8 months

n=28,990

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 Nomad List 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. Nomad List 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 Nomad List 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, please link back and mention us. If you like this, also see the live network graph of all travels on Nomad List and the fastest growing remote work hubs of 2023.

Last updated: 13 minutes ago

👶 Nomads by age
Age	%
18	0.1%
21	0.3%
22	0.3%
23	1%
24	1%
25	1%
26	1%
27	2%
28	3%
29	4%
30	6%
31	7%
32	6%
33	6%
34	8%
35	6%
36	6%
37	6%
38	5%
39	4%
40	4%
41	3%
42	3%
43	2%
44	3%
n=1,100

⛳️ Nomads by nationality
#	Country	People	%
1	🇺🇸 United States	25,019,048	48%
2	🇬🇧 United Kingdom	3,863,447	7%
3	🇷🇺 Russia	2,611,537	5%
4	🇨🇦 Canada	2,312,323	4%
5	🇩🇪 Germany	1,874,274	4%
6	🇫🇷 France	1,551,124	3%
7	🇦🇺 Australia	1,156,162	2%
8	🇧🇷 Brazil	1,127,437	2%
9	🇳🇱 Netherlands	914,397	2%
10	🇪🇸 Spain	804,286	2%
11	🇮🇳 India	667,845	1%
12	🇺🇦 Ukraine	629,546	1%
13	🇵🇱 Poland	572,096	1%
14	🇮🇹 Italy	550,553	1%
15	🇨🇭 Switzerland	481,136	1%
16	🇦🇹 Austria	428,474	1%
17	🇸🇪 Sweden	347,088	1%
18	🇮🇪 Ireland	320,757	1%
19	🇮🇱 Israel	306,395	1%
20	🇨🇿 Czechia	270,489	1%
21	🇧🇪 Belgium	265,702	1%
22	🇯🇵 Japan	260,914	0%
23	🇹🇷 Turkey	256,127	0%
24	🇰🇷 South Korea	251,339	0%
25	🇸🇬 Singapore	251,339	0%
26	🇿🇦 South Africa	246,552	0%
n=21,814

👶 Nomads by gender
Gender	%
👨‍ Men	58%
👱‍♀️ Women	41%
🧑 Other	1%
Last 30 days. n=359

👀 Nomads by sexuality
Sexuality	%
👋 Heterosexual	86%
🦄 Bisexual	8%
🏳️‍🌈 Gay or lesbian	5%
n=12,528

🙏 Nomads by beliefs
Religion	%
💫 Not religious	55%
🙏 Spirituality	28%
⛪️ Christianity	8%
🙏 Buddhism	2%
✨ Astrology	2%
🕌 Islam	2%
🕍 Judaism	2%
🕉 Hinduism	1%
👳 Sikhism	0%
n=5,996

✋ Nomads by ethnicity
Ethnicity	%
✋🏻 White	60%
✋🏾 Non-white	40%
↱✋🏼 Asian	13%
↱✋🏽 Latin	12%
↱✋🏿 Black	6%
↱✋🏽 Indian	5%
↱✋🏾 Middle Eastern	3%
↱✋🏽 Pacific	1%
n=5,233

🎓 Education
Education	%
🚌 High School	10%
🎓 Higher education	90%
↱📜 Bachelor's	54%
↱🎓 Master's	33%
↱👩‍🏫 PhD	3%
n=11,980

❤️ Nomads by relationship
Relationship	%
😎 Single	65%
😍 In a relationship	35%
n=6,305

👀 Nomads looking for
Looking for	%
🤝 Friends	35%
🎒 Travel buddies	32%
🍹 Casual dating	16%
❤️ Relationship	13%
👐 Poly dating	5%
n=40,370

💰 Nomads by income
Income	%
< $25k / y	6%
$25k - $50k / y	15%
$50k - $100k / y	34%
$100k - $250k / y	36%
> $250k - $1M / y	8%
> $1M / y	2%
Average	$123,693 / y
Median	$90,000 / y
n=2,601

💰 Nomads by employment
Employment type	%
Full time	44%
Freelance	17%
Startup founder	16%
Full time contractor	8%
Agency	7%
Other	5%
Part time	2%
Part time contractor	1%
n=2,754

🏡 Where do nomads work from
Place	%
🏡 Home office	61%
🏬 Coworking	15%
☕️ Cafe	7%
🏢 Office	4%
🍽 Dining table	4%
🛋 Couch	3%
🛏 Bed	2%
🚐 Van	1%
🪑 Balcony	1%
🪴 Garden	0%
🔪 Kitchen	0%
🛥 Boat	0%
📚 Library	0%
💦 Pool	0%
n=1,821

⚖️ Nomad men by politics
Politics	%
🏳️‍🌈 Progressive	49%
⚖️ Non-progressive	51%
↱🗽 Libertarian	26%
↱⚖️ Centrist	20%
↱👴 Conservative	6%
n=2,974

⚖️ Nomad women by politics
Politics	%
🏳️‍🌈 Progressive	72%
⚖️ Non-progressive	28%
↱🗽 Libertarian	13%
↱⚖️ Centrist	12%
↱👴 Conservative	3%
n=711

What do nomads eat?

🥩 74% of 👨‍ men eat meat

🥩 55% of 👱‍♀️women eat meat

🚫 37% of nomads don't eat meat

🥒 12% are vegetarian

🥑 12% are vegan

🐟 5% are pescetarian

n=5,602

🍕 Nomad men by diet
Diet	%
🥩 Eats meat	74%
🚫 Does not eat meat	26%
↱🥑 Vegan	11%
↱🥒 Vegetarian	11%
↱🐟 Pescetarian	4%
n=4,540

🍕 Nomad women by diet
Diet	%
🥩 Eats meat	55%
🚫 Does not eat meat	45%
↱🥒 Vegetarian	19%
↱🥑 Vegan	16%
↱🐟 Pescetarian	10%
n=990

How do nomads work out?

🥾 Hiking

💪 Fitness

🏃 Running

🤸‍♀️ Yoga

🏊 Swimming

🚴 Cycling

n=10,573

😅 Nomad men by sports
Sport	%
🥾 Hiking	49%
💪 Fitness	47%
🏃 Running	29%
🚴 Cycling	26%
🏊 Swimming	24%
🤸‍♀️ Yoga	22%
🏄 Surfing	18%
⛰ Climbing	16%
⛷ Skiing	16%
🏂 Snowboarding	16%
🌊 Diving	16%
🎾 Tennis	14%
🏍 Motorcycling	14%
💪 Fight sports	11%
💪 Crossfit	9%
n=8,396

😅 Nomad women by sports
Sport	%
🥾 Hiking	52%
🤸‍♀️ Yoga	45%
💪 Fitness	39%
🏊 Swimming	24%
🏃 Running	22%
🚴 Cycling	18%
🌊 Diving	16%
🏄 Surfing	15%
⛰ Climbing	14%
⛷ Skiing	11%
🎾 Tennis	10%
🏂 Snowboarding	10%
🏍 Motorcycling	6%
💪 Crossfit	5%
💪 Fight sports	5%
n=2,027

Where do nomads like to go most?

🇯🇵 Tokyo

🇵🇹 Portimão

🇹🇭 Ko Pha Ngan

🇨🇴 Medellín

🇪🇸 Madrid

🇭🇷 Zagreb

n=254,910

😍 Most liked cities by men
#	City	Rating
1	🇯🇵 Tokyo	4.81
2	🇹🇭 Chiang Mai	4.78
3	🇨🇴 Medellín	4.78
4	🇦🇷 Buenos Aires	4.76
5	🇭🇷 Split	4.74
6	🇦🇪 Dubai	4.72
7	🇦🇹 Vienna	4.72
8	🇺🇸 Austin	4.69
9	🇹🇼 Taipei	4.67
10	🇪🇸 Madrid	4.67
11	🇧🇷 Rio de Janeiro	4.64
12	🇹🇭 Ko Pha Ngan	4.62
13	🇷🇺 Saint Petersburg	4.62
14	🇪🇸 Seville	4.58
15	🇧🇬 Sofia	4.58
n=6,450

😍 Most liked cities by women
#	City	Rating
1	🇵🇹 Lisbon	4.62
2	🇬🇧 London	4.44
3	🇹🇭 Chiang Mai	4.44
4	🇮🇩 Canggu	4.38
5	🇲🇽 Oaxaca	4.29
6	🇭🇺 Budapest	4.29
7	🇧🇬 Sofia	4.29
8	🇩🇪 Berlin	4.17
9	🇬🇧 Edinburgh	4.17
10	🇺🇸 San Francisco	4.17
11	🇪🇸 Barcelona	4.17
12	🇹🇭 Bangkok	4.17
13	🇲🇾 Kuala Lumpur	4.17
14	🇮🇩 Seminyak	4.00
15	🇧🇷 São Paulo	4.00
n=6,450

🌆 Most visited cities
#	City	% visited
1	🇬🇧 London	2.4%
2	🇹🇭 Bangkok	1.94%
3	🇺🇸 New York City	1.65%
4	🇩🇪 Berlin	1.6%
5	🇫🇷 Paris	1.56%
6	🇵🇹 Lisbon	1.5%
7	🇪🇸 Barcelona	1.45%
8	🇳🇱 Amsterdam	1.36%
9	🇺🇸 San Francisco	1.27%
10	🇹🇭 Chiang Mai	1.12%
11	🇲🇽 Mexico City	1%
12	🇸🇬 Singapore	0.94%
13	🇺🇸 Los Angeles	0.93%
14	🇮🇩 Canggu	0.88%
15	🇭🇺 Budapest	0.84%
16	🇹🇷 Istanbul	0.78%
17	🇪🇸 Madrid	0.77%
18	🇯🇵 Tokyo	0.76%
19	🇨🇿 Prague	0.75%
20	🇲🇾 Kuala Lumpur	0.71%
21	🇷🇺 Moscow	0.69%
22	🇦🇪 Dubai	0.64%
23	🇨🇴 Medellín	0.63%
24	🇮🇹 Rome	0.59%
25	🇦🇹 Vienna	0.59%
26	🇦🇷 Buenos Aires	0.58%
27	🇭🇰 Hong Kong	0.55%
28	🇮🇩 Ubud	0.53%
29	🇻🇳 Ho Chi Minh City	0.52%
30	🇺🇸 Miami	0.5%
n=254,910

🌎 Most visited countries
#	Country	% visited
1	🇺🇸 United States	15%
2	🇪🇸 Spain	5%
3	🇹🇭 Thailand	5%
4	🇬🇧 United Kingdom	4%
5	🇩🇪 Germany	4%
6	🇲🇽 Mexico	4%
7	🇫🇷 France	3%
8	🇮🇹 Italy	3%
9	🇵🇹 Portugal	3%
10	🇮🇩 Indonesia	2%
11	🇨🇦 Canada	2%
12	🇳🇱 Netherlands	2%
13	🇧🇷 Brazil	2%
14	🇷🇺 Russia	2%
15	🇯🇵 Japan	2%
16	🇻🇳 Vietnam	2%
17	🇦🇺 Australia	1%
18	🇨🇴 Colombia	1%
19	🇹🇷 Turkey	1%
20	🇵🇱 Poland	1%
21	🇮🇳 India	1%
22	🇲🇾 Malaysia	1%
23	🇬🇷 Greece	1%
24	🇨🇭 Switzerland	1%
25	🇭🇷 Croatia	1%
26	🇦🇹 Austria	1%
27	🇦🇷 Argentina	1%
28	🇸🇬 Singapore	1%
29	🇭🇺 Hungary	1%
30	🇨🇳 China	1%
n=254,910

🍃 Avg. CO₂ by member traveling
Year	CO₂
2013	757 kg/y
2014	1,008 kg/y
2015	1,100 kg/y
2016	1,350 kg/y
2017	1,553 kg/y
2018	1,664 kg/y
2019	1,681 kg/y
2020	1,024 kg/y
2021	1,041 kg/y
2022	1,601 kg/y
2023	2,676 kg/y
Average	1,217 kg/y
Median	1,099 kg/y
Based on 254,910 trips by 10,936 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 1,099 kg/y, or 78% less CO₂ than the average American on travel and commuting. Also see Nomad List's CO₂ removal donations.

👨 Where men go most
#	Tag	vs. 👱‍♀️
1	🇹🇭 Bangkok	+19%
2	🇵🇹 Lisbon	-13%
3	🇬🇧 London	-20%
4	🇪🇸 Barcelona	-9%
5	🇩🇪 Berlin	-1%
6	🇫🇷 Paris	-21%
7	🇳🇱 Amsterdam	+1%
8	🇹🇭 Chiang Mai	+2%
9	🇮🇩 Canggu	+3%
10	🇭🇺 Budapest	+20%
11	🇹🇷 Istanbul	+13%
12	🇲🇽 Mexico City	-27%
13	🇸🇬 Singapore	+12%
14	🇨🇿 Prague	+19%
15	🇲🇾 Kuala Lumpur	+26%
median temp=18°C; n=254,910

👱‍♀️ Where women go most
#	Tag	vs. 👨
1	🇵🇹 Lisbon	+15%
2	🇬🇧 London	+25%
3	🇫🇷 Paris	+27%
4	🇪🇸 Barcelona	+10%
5	🇹🇭 Bangkok	-16%
6	🇩🇪 Berlin	+1%
7	🇲🇽 Mexico City	+37%
8	🇳🇱 Amsterdam	-1%
9	🇹🇭 Chiang Mai	-2%
10	🇮🇩 Canggu	-3%
11	🇮🇹 Rome	+21%
12	🇪🇸 Madrid	+10%
13	🇺🇸 New York City	+4%
14	🇹🇷 Istanbul	-12%
15	🇸🇬 Singapore	-11%
median temp=19°C; n=254,910

👨 Where men go more
#	Tag	vs. women
1	🇺🇦 Ukraine	+97%
2	🇷🇺 Russia	+84%
3	🇷🇴 Romania	+80%
4	🇵🇱 Poland	+71%
5	🇬🇪 Georgia	+49%
6	🇳🇿 New Zealand	+45%
7	🇦🇪 United Arab Emirates	+35%
8	🇭🇰 Hong Kong	+28%
9	🇯🇵 Japan	+25%
10	🇨🇿 Czechia	+22%
11	🇻🇳 Vietnam	+21%
12	🇳🇴 Norway	+20%
13	🇭🇺 Hungary	+20%
14	🇵🇭 Philippines	+19%
15	🇸🇪 Sweden	+19%
median temp=14°C; n=254,910

👱‍♀️ Where women go more
#	Tag	vs. men
1	🇿🇦 South Africa	+56%
2	🇨🇷 Costa Rica	+55%
3	🇲🇽 Mexico	+47%
4	🇬🇧 United Kingdom	+26%
5	🇨🇱 Chile	+23%
6	🇫🇷 France	+18%
7	🇵🇪 Peru	+17%
8	🇬🇷 Greece	+17%
9	🇭🇷 Croatia	+17%
10	🇦🇷 Argentina	+15%
11	🇮🇹 Italy	+15%
12	🇵🇹 Portugal	+9%
13	🇪🇸 Spain	+7%
14	🇺🇸 United States	+4%
15	🇦🇺 Australia	+3%
median temp=20°C; n=254,910

😍 Most liked countries
#	Country	Rating
1	🇭🇷 Croatia	4.9
2	🇯🇵 Japan	4.9
3	🇹🇼 Taiwan	4.85
4	🇷🇺 Russia	4.8
5	🇲🇦 Morocco	4.75
6	🇫🇮 Finland	4.7
7	🇨🇿 Czechia	4.7
8	🇺🇸 United States	4.7
9	🇳🇱 Netherlands	4.7
10	🇰🇭 Cambodia	4.7
11	🇦🇺 Australia	4.7
12	🇮🇹 Italy	4.65
13	🇪🇸 Spain	4.65
14	🇧🇷 Brazil	4.65
15	🇬🇷 Greece	4.65
n=3,736

🤮 Least liked countries
#	Country	Rating
1	🇧🇧 Barbados	3
2	🇲🇩 Moldova	3
3	🇮🇪 Ireland	3.35
4	🇲🇹 Malta	3.35
5	🇦🇱 Albania	3.45
6	🇨🇱 Chile	3.55
7	🇲🇰 North Macedonia	3.55
8	🇵🇭 Philippines	3.7
9	🇩🇴 Dominican Republic	3.75
10	🇸🇰 Slovakia	3.75
11	🇨🇼 Curaçao	3.75
12	🇸🇪 Sweden	3.8
13	🇵🇪 Peru	3.85
14	🇺🇾 Uruguay	3.9
15	🇨🇾 Cyprus	4
n=3,736

⏰ How long do nomads stay in one city?
Duration	%
< 7 days	46%
7 - 30 days	33%
30 - 90 days	14%
90+ days	6%
Average	68 days (2 months)
Median	7 days
n=247,513

🏡 How long do nomads stay in one country?
Duration	%
< 7 days	0%
7 - 30 days	57%
30 - 90 days	29%
90+ days	14%
Average	258 days (8 months)
n=247,513

What do nomads do for work?

💻 Software Dev

📇 Startup Founder

🕸 Web Dev

😁 Marketing

👩‍🎨 Creative

🎨 UI/UX Design

n=19,370

👨 Nomad men work as
#	Work	%	vs. women
1	💻 Software Dev	34%	+230%
2	🕸 Web Dev	29%	+240%
3	📇 Startup Founder	28%	+121%
4	😁 Marketing	15%	-4%
5	📊 SaaS	13%	+169%
6	👩‍🎨 Creative	13%	-20%
7	🎨 UI/UX Design	12%	+40%
8	🤠 Product Manager	12%	+65%
9	💰 Crypto	11%	+241%
10	📱 Mobile Dev	11%	+334%
11	📈 Data	11%	+93%
12	💰 Finance	10%	+122%
13	🛒 Ecommerce	9%	+84%
14	🤑 Sales	7%	+71%
15	📝 Blogging	7%	-22%
n=15,495

👱‍♀️ Nomad women work as
#	Work	%	vs. men
1	😁 Marketing	16%	+5%
2	👩‍🎨 Creative	16%	+24%
3	📇 Startup Founder	13%	-55%
4	💻 Software Dev	10%	-70%
5	🎨 UI/UX Design	9%	-28%
6	📝 Blogging	9%	+28%
7	🕸 Web Dev	8%	-71%
8	🤝 Community	8%	+33%
9	👨‍🏫 Education	8%	+19%
10	🤠 Product Manager	7%	-39%
11	👊 Coach	7%	+25%
12	📈 Data	6%	-48%
13	🛒 Ecommerce	5%	-46%
14	📊 SaaS	5%	-63%
15	💰 Finance	4%	-55%
n=4,455

👨 Nomad men vs. women
#	Tag	vs. women
1	👾 Game Dev	+343%
2	📱 Mobile Dev	+334%
3	🗃 Dev Ops	+292%
4	💰 Crypto	+241%
5	🕸 Web Dev	+240%
6	💻 Software Dev	+230%
7	📡 Sysadmin	+220%
8	📊 SaaS	+169%
9	🗺 Geo	+157%
10	😎 VR Dev	+155%
11	💰 Finance	+122%
12	📇 Startup Founder	+121%
13	🏃 Sports	+112%
14	📈 Data	+93%
15	🌶 Adult	+92%
n=19,370

👱‍♀️ Nomad women vs. men
#	Tag	vs. men
1	🧠 Psychologist	+114%
2	🧑‍💼 Human resources	+77%
3	📰 Journalism	+57%
4	👨‍⚕️ Medical	+38%
5	🤝 Community	+33%
6	🙂 Support	+32%
7	👋 Hospitality	+32%
8	📝 Blogging	+28%
9	👊 Coach	+25%
10	👩‍🎨 Creative	+24%
11	👨‍🏫 Education	+19%
12	👩‍💼 Law	+18%
13	📸 Model	+16%
14	📞 Recruitment	+15%
15	😁 Marketing	+5%
n=19,370

How do nomads describe themselves?

☕️ Coffee

🙂 Optimist

⛰ Outdoors

💉 COVID vaccinated

🐶 Dogs

🥾 Hiking

n=19,370

👨‍ Nomad men
#	Tag	%	vs. 👱‍♀️
1	☕️ Coffee	40%	+23%
2	🙂 Optimist	31%	+26%
3	⛰ Outdoors	28%	+5%
4	💉 COVID vaccinated	27%	+11%
5	🥾 Hiking	27%	+11%
6	🐶 Dogs	27%	+5%
7	🍺 Beer	26%	+114%
8	🇬🇧 Speaks English	26%	+13%
9	🌙 Staying up late	26%	+46%
10	💪 Fitness	26%	+42%
11	☀️ Waking up early	26%	+21%
12	📖 Reading	25%	+8%
13	🍷 Wine	24%	-4%
14	👉 Right handed	22%	+50%
15	🥩 Eating meat	22%	+77%
n=15,495

👱‍♀️ Nomad women
#	Tag	%	vs. 👨‍
1	☕️ Coffee	32%	-19%
2	⛰ Outdoors	26%	-5%
3	🐶 Dogs	25%	-5%
4	🍷 Wine	25%	+4%
5	🙂 Optimist	24%	-21%
6	💉 COVID vaccinated	24%	-10%
7	🥾 Hiking	24%	-10%
8	📖 Reading	23%	-7%
9	🇬🇧 Speaks English	23%	-11%
10	🍵 Tea	23%	+5%
11	☀️ Waking up early	21%	-18%
12	🤸‍♀️ Yoga	21%	+75%
13	⛱ Beach	19%	+8%
14	🍸 Cocktails	19%	-2%
15	🧠 Open-minded	19%	-13%
n=4,455

👨 Nomad men vs. women
#	Tag	vs. 👱‍♀️
1	🧔 Have a beard	+847%
2	🪜 Roost Stand	+324%
3	⚽️ Football	+293%
4	👨 No beard	+274%
5	🏀 Basketball	+237%
6	🧑‍ Short hair	+233%
7	🏎 Race sports	+213%
8	🏍 Motorcycling	+196%
9	🎧 Hardstyle music	+181%
10	🪂 Dropout	+179%
11	🏓 Table tennis	+177%
12	💪 Fight sports	+177%
13	👾 Gaming	+170%
14	🏂 Skateboarding	+153%
15	👴 Conservative politics	+153%
n=19,370

👱‍♀️ Nomad women vs. men
#	Tag	vs. 👨
1	💄 Makeup	+2,442%
2	✨ Believe in astrology	+277%
3	👱‍♀️ Long hair	+267%
4	👗 Dress up	+257%
5	✨ Astrology	+224%
6	💪 Feminism	+206%
7	🎨 Drawing	+97%
8	💃 Dancing	+95%
9	🟥 Red hair	+83%
10	⬛️ Has tattoos	+83%
11	🛍 Shopping	+77%
12	🟨 Blonde hair	+75%
13	🤸‍♀️ Yoga	+75%
14	🌻 Gardening	+75%
15	🦾 Disabled	+74%
n=19,370

💉 Nomads by vaccination
Vaccinated	%
💉 COVID vaccinated	96%
💉 Not COVID vaccinated	4%
n=5,566

❤️ Nomads by family
Relationship	%
❤️ Close to parents	79%
💔 Not close to parents	21%
n=1,231

👶 Nomads by childhood
Childhood	%
😊 Happy childhood	88%
😔 Unhappy childhood	12%
n=1,323

🏡 Homeownership amongst nomads
Homeownership	%
🏡 Homeowner	51%
🏡 Not a homeowner	49%
n=1,472

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 Nomad List's dating app. That does NOT mean people like or dislike specific traits. It's that people who are rated as attractive are more likely to have selected these traits on their profile. TL;DR hot people have specific traits, but those specific traits don't necessarily make you hot (you could always try though).

🏐 Volleyball

😍 In a relationship

🏳️‍🌈 LGBT

🎧 Hiphop music

🧼 Clean freak

🏃 Running

n=19,370

👨‍ Attractive men's traits
#	Tag	Diff
1	😍 In a relationship	+141%
2	🏡 Homeowner	+122%
3	🌊 Free diving	+102%
4	💉 Not COVID vaccinated	+100%
5	💬 Twitter	+91%
6	⬛️ Has tattoos	+90%
7	🏡 Not a homeowner	+89%
8	🏀 Basketball	+85%
9	💬 LINE	+85%
10	✨ Don't believe in astrology	+79%
11	🍏 iPhone	+78%
12	❤️ Happy childhood	+76%
13	🏐 Volleyball	+74%
14	🏸 Badminton	+74%
15	🧑‍ Short hair	+73%
16	🪂 Dropout	+70%
17	💆 Massage	+70%
18	🎧 Dubstep music	+70%
19	🏓 Table tennis	+69%
20	💬 Facebook	+69%
21	🎧 Hiphop music	+67%
22	❤️ Close to my parents	+65%
23	🎧 House music	+63%
24	👶 Parent	+63%
25	🏋️‍ Weightlifting	+61%
26	💰 Pop music	+59%
27	🏉 Rugby	+56%
28	🎏 Kitesurfing	+56%
29	🧠 Open-minded	+56%
30	🧖 Sauna	+53%
n=19,370

👱‍♀️ Attractive women's traits
#	Tag	Diff
1	🏳️‍🌈 LGBT	+284%
2	🏐 Volleyball	+258%
3	🛍 Shopping	+201%
4	🎧 Hiphop music	+199%
5	🚬 Social smoker	+197%
6	🧼 Clean freak	+191%
7	🏃 Running	+179%
8	🧒 Only child	+159%
9	💄 Makeup	+157%
10	👗 Dress up	+156%
11	😍 In a relationship	+152%
12	🐟 Pescetarian	+151%
13	👨‍🎤 Partying	+147%
14	🏍 Motorcycling	+146%
15	👶 Wants kids	+138%
16	⛷ Skiing	+138%
17	🚴 Cycling	+130%
18	💪 Fitness	+124%
19	🎸 Rock music	+118%
20	🎷 Blues music	+115%
21	👱‍♀️ Long hair	+115%
22	🏄 Surfing	+115%
23	🍾 Drinking alcohol	+114%
24	⛰ Climbing	+110%
25	💰 Pop music	+108%
26	😁 Extrovert	+107%
27	👾 Gaming	+105%
28	🎤 Singing	+102%
29	✨ Astrology	+102%
30	💫 Not religious	+102%
n=19,370

And unattractive traits?

Attractiveness is based on the proportion of people liking or disliking a person based on their photo on Nomad List'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.

🪂 Paragliding

👴 Conservative politics

⚾️ Baseball

🪜 Nexstand

✈️ Private pilot

🏚 Urbex

n=19,370

👨‍ Unattractive men's traits
#	Tag	Diff
1	🪜 Nexstand	-195%
2	✈️ Private pilot	-141%
3	🏚 Urbex	-100%
4	🙏 Buddhist	-84%
5	😎 Single	-81%
6	🪂 Paragliding	-80%
7	🕺 Breakdance	-77%
8	🪂 Skydiving	-69%
9	🌏 Third Culture Kid	-58%
10	💪 Feminism	-58%
11	👅 Sex positive	-56%
12	🍖 Paleo	-52%
13	🎞 Film making	-46%
14	🎤 Singing	-35%
15	🏳️‍🌈 Progressive politics	-35%
16	💃 Dancing	-31%
17	🏍 Motorcycling	-28%
18	🥚 Hard boiled eggs	-27%
19	🎨 Drawing	-24%
20	👶 Wants kids	-21%
21	🏏 Cricket	-21%
22	🗽 Libertarian politics	-20%
23	⛔️ Doesn't want kids	-20%
24	😈 Kink	-19%
25	🏑 Field hockey	-18%
26	👩‍🍳 Cooking	-18%
27	⛪️ History	-15%
28	⛵️ Sailing	-14%
29	🛍 Shopping	-13%
30	✨ Believe in astrology	-13%
n=19,370

👱‍♀️ Unattractive women's traits
#	Tag	Diff
1	💥 Messy	-1,885%
2	✨ Don't believe in astrology	-954%
3	🧔 Have a beard	-799%
4	🚬 Daily smoker	-768%
5	👴 Conservative politics	-489%
6	🪂 Paragliding	-489%
7	🎧 Hardstyle music	-427%
8	⚾️ Baseball	-303%
9	🪜 Roost Stand	-148%
10	❤️ Happy childhood	-108%
11	🚜 Country music	-102%
12	🏸 Badminton	-55%
13	👶 Parent	-52%
14	🍃 Sustainability	-45%
15	💬 Facebook	-31%
16	🍖 Carnivore	-30%
17	🏂 Snowboarding	-17%
18	❤️ My parents are together	-8%
19	🌏 Third Culture Kid	-8%
n=19,370

Where do attractive people go?

👨‍ Where attractive men travel to
#	City	Attractiveness
1	🇮🇩 Seminyak	5
2	🇪🇸 Ibiza	4.98
3	🇵🇹 Ericeira	4.98
4	🇪🇸 Seville	4.89
5	🇲🇽 Tulum	4.89
6	🇮🇸 Reykjavik	4.89
7	🇦🇺 Brisbane	4.89
8	🇺🇸 Orlando	4.89
9	🇺🇸 Boston	4.89
10	🇹🇭 Krabi	4.89
11	🇻🇳 Hoi An	4.89
12	🇩🇴 Punta Cana	4.89
13	🇦🇺 Melbourne	4.89
14	🇮🇩 Canggu	4.89
15	🇮🇱 Tel Aviv	4.85
16	🇮🇩 Ubud	4.84
17	🇨🇾 Larnaca	4.79
18	🇳🇿 Wellington	4.79
19	🇨🇦 Vancouver	4.79
20	🇱🇺 Luxembourg	4.79
21	🇩🇪 Frankfurt	4.78
22	🇵🇹 Porto	4.78
23	🇪🇸 Tenerife	4.73
24	🇹🇭 Ko Phi Phi	4.72
25	🇳🇿 Auckland	4.71
26	🇧🇷 Rio de Janeiro	4.71
27	🇧🇪 Bruges	4.7
28	🇩🇪 Cologne	4.7
29	🇱🇦 Luang Prabang	4.69
30	🇨🇴 Cartagena	4.69
Based on attractiveness of visitors n=254,910

👱‍♀️ Where attractive women travel to
#	City	Attractiveness
1	🇹🇭 Ko Phi Phi	5
2	🇵🇱 Warsaw	4.94
3	🇫🇷 Bordeaux	4.94
4	🇪🇸 Ibiza	4.94
5	🇹🇭 Ko Samui	4.88
6	🇭🇷 Zadar	4.86
7	🇮🇩 Uluwatu	4.85
8	🇩🇴 Punta Cana	4.8
9	🇺🇦 Kyiv	4.75
10	🇹🇭 Pai	4.72
11	🇨🇱 Valparaíso	4.7
12	🇲🇦 Taghazout	4.7
13	🇹🇭 Ko Pha Ngan	4.68
14	🇸🇰 Bratislava	4.67
15	🇮🇩 Jakarta	4.66
16	🇱🇹 Vilnius	4.64
17	🇮🇱 Tel Aviv	4.64
18	🇸🇪 Stockholm	4.63
19	🇭🇷 Split	4.62
20	🇭🇷 Dubrovnik	4.61
21	🇹🇭 Ko Tao	4.6
22	🇱🇻 Riga	4.59
23	🇪🇸 Alicante	4.59
24	🇦🇹 Vienna	4.55
25	🇨🇾 Larnaca	4.55
26	🇻🇳 Da Nang	4.54
27	🇨🇷 Tamarindo	4.54
28	🇵🇹 Ericeira	4.54
29	🇹🇷 Antalya	4.54
30	🇮🇹 Milan	4.53
Based on attractiveness of visitors n=254,910

And where do unattractive people go?

👨‍ Where unattractive men travel to
#	City	Attractiveness
1	🇮🇳 Goa	3.62
2	🇹🇭 Pattaya	3.62
3	🇮🇳 Mumbai	3.69
4	🇮🇹 Bologna	4
5	🇬🇷 Thessaloniki	4.03
6	🇪🇬 Cairo	4.07
7	🇫🇷 Bordeaux	4.13
8	🇨🇾 Paphos	4.13
9	🇶🇦 Doha	4.14
10	🇹🇷 Antalya	4.14
11	🇳🇵 Kathmandu	4.15
12	🇰🇭 Phnom Penh	4.17
13	🇺🇸 Las Vegas	4.19
14	🇫🇷 Lyon	4.19
15	🇵🇱 Wrocław	4.19
16	🇨🇺 Havana	4.19
17	🇸🇰 Bratislava	4.21
18	🇲🇽 Guadalajara	4.22
19	🇹🇷 Istanbul	4.24
20	🇦🇪 Dubai	4.25
21	🇵🇦 Panama City	4.26
22	🇨🇦 Toronto	4.27
23	🇻🇦 Vatican City	4.27
24	🇧🇾 Minsk	4.27
25	🇹🇭 Pai	4.27
26	🇬🇹 Antigua	4.28
27	🇳🇴 Oslo	4.28
28	🇦🇪 Abu Dhabi	4.29
29	🇹🇼 Taipei	4.29
30	🇪🇸 Valencia	4.29
Based on unattractiveness of visitors n=254,910

👱‍♀️ Where unattractive women travel to
#	City	Attractiveness
1	🇪🇨 Cuenca	2.62
2	🇯🇴 Amman	2.9
3	🇺🇸 Atlanta	3.33
4	🇵🇷 San Juan	3.35
5	🇺🇸 New Orleans	3.37
6	🇰🇪 Nairobi	3.38
7	🇺🇸 Washington	3.4
8	🇨🇴 Santa Marta	3.4
9	🇪🇨 Quito	3.52
10	🇲🇽 Guadalajara	3.6
11	🇨🇳 Guangzhou	3.6
12	🇧🇪 Antwerp	3.6
13	🇿🇦 Johannesburg	3.61
14	🇲🇽 Merida	3.63
15	🇬🇧 Manchester	3.64
16	🇱🇦 Vientiane	3.64
17	🇲🇽 San Miguel de Allende	3.64
18	🇳🇿 Auckland	3.65
19	🇬🇧 Glasgow	3.65
20	🇬🇷 Thessaloniki	3.68
21	🇮🇳 Mumbai	3.68
22	🇨🇴 Bogota	3.69
23	🇨🇳 Beijing	3.7
24	🇵🇦 Panama City	3.73
25	🇵🇪 Arequipa	3.73
26	🇺🇸 San Diego	3.75
27	🇧🇦 Sarajevo	3.8
28	🇬🇧 Edinburgh	3.82
29	🇮🇹 Naples	3.82
30	🇲🇲 Yangon	3.83
Based on unattractiveness of visitors n=254,910