Who is the average nomad?

👶 33-year old

🏳️‍🌈 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 78% less CO₂

8️⃣ and stays for
8 months

n=25,913

Remote work is now on an exponential trajectory and growing fast. With its growth, 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 2022.

Last updated: 19 minutes ago

👶 Nomads by age
Age	%
20	0.2%
21	0.2%
22	1%
23	1%
24	1%
25	1%
26	2%
27	4%
28	4%
29	6%
30	7%
31	6%
32	7%
33	8%
34	6%
35	6%
36	6%
37	5%
38	4%
39	3%
40	3%
41	3%
42	2%
43	3%
44	2%
n=993

⛳️ Nomads by nationality
#	Country	%
1	🇺🇸 United States	50%
2	🇬🇧 United Kingdom	8%
3	🇷🇺 Russia	5%
4	🇨🇦 Canada	4%
5	🇩🇪 Germany	3%
6	🇫🇷 France	3%
7	🇦🇺 Australia	2%
8	🇧🇷 Brazil	2%
9	🇳🇱 Netherlands	2%
10	🇪🇸 Spain	1%
11	🇮🇳 India	1%
12	🇺🇦 Ukraine	1%
13	🇵🇱 Poland	1%
14	🇮🇹 Italy	1%
15	🇨🇭 Switzerland	1%
16	🇦🇹 Austria	1%
17	🇸🇪 Sweden	1%
18	🇮🇪 Ireland	1%
19	🇮🇱 Israel	1%
20	🇸🇬 Singapore	1%
n=20,014

👶 Nomads by gender
Gender	%
👨‍ Men	79%
👱‍♀️ Women	20%
🧑 Other	1%
n=16,345

👀 Nomads by sexuality
Sexuality	%
👋 Heterosexual	87%
🦄 Bisexual	8%
🏳️‍🌈 Gay or lesbian	5%
n=10,544

🙏 Nomads by beliefs
Religion	%
💫 Not religious	56%
🙏 Spirituality	29%
⛪️ Christianity	7%
🙏 Buddhism	2%
✨ Astrology	2%
🕌 Islam	2%
🕍 Judaism	1%
🕉 Hinduism	1%
👳 Sikhism	0%
n=5,073

✋ Nomads by ethnicity
Ethnicity	%
✋🏻 White	61%
✋🏼 Asian	13%
✋🏽 Latin	12%
✋🏿 Black	6%
✋🏽 Indian	5%
✋🏾 Middle Eastern	3%
✋🏽 Pacific	1%
n=4,311

🎓 Education
Education	%
🚌 High School	10%
🎓 Higher education	90%
↱📜 Bachelor's	54%
↱🎓 Master's	33%
↱👩‍🏫 PhD	3%
n=10,035

❤️ Nomads by relationship
Relationship	%
😎 Single	64%
😍 In a relationship	36%
n=5,139

👀 Nomads looking for
Looking for	%
🤝 Friends	35%
🎒 Travel buddies	32%
🍹 Casual dating	16%
❤️ Relationship	13%
👐 Poly dating	5%
n=33,749

💰 Nomads by income
Income	%
< $25k / y	6%
$25k - $50k / y	16%
$50k - $100k / y	34%
$100k - $250k / y	35%
> $250k - $1M / y	7%
> $1M / y	2%
Average	$119,113 / y
Median	$85,000 / y
n=1,551

💰 Nomads by employment
Employment type	%
Full time	51%
Startup founder	16%
Freelance	16%
Agency	7%
Other	5%
Full time contractor	3%
Part time	2%
Part time contractor	0%
n=1,178

🏡 Where do nomads work from
Place	%
🏡 Home office	62%
🏬 Coworking	16%
☕️ Cafe	11%
🍽 Dining table	4%
🛋 Couch	3%
🏢 Office	3%
🛏 Bed	1%
🪑 Balcony	1%
🚐 Van	0%
📚 Library	0%
🔪 Kitchen	0%
n=278

⚖️ Nomad men by politics
Politics	%
🏳️‍🌈 Progressive	50%
⚖️ Non-progressive	50%
↱🗽 Libertarian	25%
↱⚖️ Centrist	20%
↱👴 Conservative	6%
n=2,611

⚖️ Nomad women by politics
Politics	%
🏳️‍🌈 Progressive	73%
⚖️ Non-progressive	27%
↱⚖️ Centrist	13%
↱🗽 Libertarian	11%
↱👴 Conservative	3%
n=603

What do nomads eat?

🥩 74% of 👨‍ men eat meat

🥩 54% of 👱‍♀️women eat meat

🚫 37% of nomads don't eat meat

🥒 12% are vegetarian

🥑 13% are vegan

🐟 5% are pescetarian

n=4,876

🍕 Nomad men by diet
Diet	%
🥩 Eats meat	74%
🚫 Does not eat meat	26%
↱🥑 Vegan	11%
↱🥒 Vegetarian	10%
↱🐟 Pescetarian	4%
n=3,960

🍕 Nomad women by diet
Diet	%
🥩 Eats meat	54%
🚫 Does not eat meat	46%
↱🥒 Vegetarian	18%
↱🥑 Vegan	17%
↱🐟 Pescetarian	10%
n=827

How do nomads work out?

🥾 Hiking

💪 Fitness

🏃 Running

🤸‍♀️ Yoga

🏊 Swimming

🚴 Cycling

n=8,892

😅 Nomad men by sports
Sport	%
🥾 Hiking	50%
💪 Fitness	47%
🏃 Running	30%
🚴 Cycling	27%
🏊 Swimming	25%
🤸‍♀️ Yoga	22%
🏄 Surfing	18%
⛰ Climbing	17%
🌊 Diving	17%
⛷ Skiing	17%
🏂 Snowboarding	16%
🏍 Motorcycling	14%
🎾 Tennis	14%
💪 Fight sports	11%
💪 Crossfit	9%
n=7,054

😅 Nomad women by sports
Sport	%
🥾 Hiking	53%
🤸‍♀️ Yoga	49%
💪 Fitness	39%
🏊 Swimming	26%
🏃 Running	22%
🚴 Cycling	19%
🌊 Diving	16%
🏄 Surfing	15%
⛰ Climbing	14%
⛷ Skiing	12%
🎾 Tennis	10%
🏂 Snowboarding	10%
🏍 Motorcycling	6%
💪 Crossfit	5%
💪 Fight sports	5%
n=1,614

Where do nomads like to go most?

🇯🇵 Tokyo

🇭🇷 Zagreb

🇹🇭 Ko Pha Ngan

🇨🇴 Medellín

🇪🇸 Gran Canaria

🇪🇸 Seville

n=206,527

😍 Most liked cities by men
#	City	Rating
1	🇯🇵 Tokyo	4.79
2	🇨🇴 Medellín	4.75
3	🇹🇭 Chiang Mai	4.75
4	🇦🇷 Buenos Aires	4.72
5	🇭🇷 Split	4.71
6	🇺🇸 Austin	4.67
7	🇹🇼 Taipei	4.67
8	🇷🇸 Belgrade	4.67
9	🇦🇹 Vienna	4.64
10	🇷🇺 Saint Petersburg	4.62
11	🇭🇷 Zagreb	4.58
12	🇦🇪 Dubai	4.58
13	🇪🇸 Madrid	4.58
14	🇿🇦 Cape Town	4.58
15	🇹🇭 Ko Pha Ngan	4.58
n=5,958

😍 Most liked cities by women
#	City	Rating
1	🇵🇹 Lisbon	4.58
2	🇬🇧 London	4.50
3	🇹🇭 Chiang Mai	4.38
4	🇧🇬 Sofia	4.29
5	🇮🇩 Canggu	4.29
6	🇭🇺 Budapest	4.29
7	🇲🇽 Oaxaca	4.29
8	🇺🇸 San Francisco	4.17
9	🇹🇭 Bangkok	4.17
10	🇬🇧 Edinburgh	4.17
11	🇮🇹 Florence	4.00
12	🇨🇱 Santiago	4.00
13	🇦🇱 Tirana	4.00
14	🇲🇾 Kuala Lumpur	4.00
15	🇧🇷 São Paulo	4.00
n=5,958

🌆 Most visited cities
#	City	% visited
1	🇬🇧 London	2.46%
2	🇹🇭 Bangkok	1.83%
3	🇩🇪 Berlin	1.7%
4	🇺🇸 New York City	1.7%
5	🇫🇷 Paris	1.59%
6	🇪🇸 Barcelona	1.47%
7	🇵🇹 Lisbon	1.44%
8	🇳🇱 Amsterdam	1.41%
9	🇺🇸 San Francisco	1.36%
10	🇹🇭 Chiang Mai	1.13%
11	🇺🇸 Los Angeles	0.97%
12	🇸🇬 Singapore	0.97%
13	🇲🇽 Mexico City	0.94%
14	🇭🇺 Budapest	0.88%
15	🇮🇩 Canggu	0.85%
16	🇨🇿 Prague	0.78%
17	🇪🇸 Madrid	0.76%
18	🇷🇺 Moscow	0.75%
19	🇯🇵 Tokyo	0.73%
20	🇹🇷 Istanbul	0.72%
21	🇲🇾 Kuala Lumpur	0.7%
22	🇦🇹 Vienna	0.6%
23	🇮🇹 Rome	0.59%
24	🇦🇪 Dubai	0.58%
25	🇭🇰 Hong Kong	0.58%
26	🇨🇴 Medellín	0.57%
27	🇮🇩 Ubud	0.54%
28	🇻🇳 Ho Chi Minh City	0.52%
29	🇦🇷 Buenos Aires	0.51%
30	🇬🇷 Athens	0.51%
n=206,527

🌎 Most visited countries
#	Country	%
1	🇺🇸 United States	16%
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	🇳🇱 Netherlands	2%
12	🇨🇦 Canada	2%
13	🇧🇷 Brazil	2%
14	🇷🇺 Russia	2%
15	🇯🇵 Japan	2%
16	🇻🇳 Vietnam	2%
17	🇦🇺 Australia	1%
18	🇨🇴 Colombia	1%
19	🇵🇱 Poland	1%
20	🇹🇷 Turkey	1%
21	🇮🇳 India	1%
22	🇬🇷 Greece	1%
23	🇲🇾 Malaysia	1%
24	🇭🇷 Croatia	1%
25	🇨🇭 Switzerland	1%
26	🇨🇳 China	1%
27	🇦🇹 Austria	1%
28	🇸🇬 Singapore	1%
29	🇭🇺 Hungary	1%
30	🇨🇿 Czechia	1%
n=206,527

🍃 Avg. CO₂ by member traveling
Year	CO₂
2013	746 kg/y
2014	1,045 kg/y
2015	1,113 kg/y
2016	1,406 kg/y
2017	1,584 kg/y
2018	1,712 kg/y
2019	1,716 kg/y
2020	1,046 kg/y
2021	1,047 kg/y
2022	1,763 kg/y
Average	1,249 kg/y
Median	1,099 kg/y
Based on 206,527 trips by 9,107 members @ 115g/km CO₂ emitted. An average American spends ~5,000kg/y on commuting by car and flying. We'd assume nomads travel more internatinally 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	🇬🇧 London	-15%
2	🇵🇹 Lisbon	-13%
3	🇹🇭 Bangkok	+17%
4	🇪🇸 Barcelona	-2%
5	🇩🇪 Berlin	+3%
6	🇫🇷 Paris	-13%
7	🇺🇸 New York City	-11%
8	🇳🇱 Amsterdam	+6%
9	🇹🇭 Chiang Mai	+0%
10	🇺🇸 San Francisco	+5%
11	🇭🇺 Budapest	+21%
12	🇨🇿 Prague	+14%
13	🇸🇬 Singapore	+13%
14	🇮🇩 Canggu	+3%
15	🇲🇽 Mexico City	-22%
median temp=17°C; n=206,527

👱‍♀️ Where women go most
#	Tag	vs. 👨
1	🇬🇧 London	+18%
2	🇵🇹 Lisbon	+15%
3	🇫🇷 Paris	+15%
4	🇪🇸 Barcelona	+2%
5	🇺🇸 New York City	+12%
6	🇩🇪 Berlin	-3%
7	🇹🇭 Bangkok	-14%
8	🇳🇱 Amsterdam	-5%
9	🇲🇽 Mexico City	+27%
10	🇹🇭 Chiang Mai	0%
11	🇺🇸 San Francisco	-5%
12	🇮🇹 Rome	+23%
13	🇮🇩 Canggu	-3%
14	🇺🇸 Los Angeles	+7%
15	🇪🇸 Madrid	+5%
median temp=19°C; n=206,527

👨 Where men go more
#	Tag	vs. women
1	🇵🇱 Poland	+74%
2	🇺🇦 Ukraine	+71%
3	🇷🇴 Romania	+57%
4	🇷🇺 Russia	+53%
5	🇬🇪 Georgia	+37%
6	🇮🇳 India	+33%
7	🇳🇿 New Zealand	+32%
8	🇭🇰 Hong Kong	+30%
9	🇯🇵 Japan	+28%
10	🇧🇷 Brazil	+28%
11	🇦🇪 United Arab Emirates	+27%
12	🇭🇺 Hungary	+21%
13	🇨🇿 Czechia	+17%
14	🇦🇹 Austria	+17%
15	🇳🇴 Norway	+16%
median temp=14°C; n=206,527

👱‍♀️ Where women go more
#	Tag	vs. men
1	🇨🇷 Costa Rica	+53%
2	🇲🇽 Mexico	+43%
3	🇿🇦 South Africa	+38%
4	🇭🇷 Croatia	+21%
5	🇵🇪 Peru	+21%
6	🇬🇷 Greece	+20%
7	🇬🇧 United Kingdom	+17%
8	🇮🇹 Italy	+15%
9	🇺🇸 United States	+13%
10	🇵🇹 Portugal	+8%
11	🇰🇭 Cambodia	+7%
12	🇫🇷 France	+5%
13	🇲🇦 Morocco	+3%
14	🇨🇦 Canada	+3%
15	🇧🇬 Bulgaria	+3%
median temp=19.5°C; n=206,527

😍 Most liked countries
#	Country	Rating
1	🇭🇷 Croatia	4.9
2	🇯🇵 Japan	4.9
3	🇹🇼 Taiwan	4.85
4	🇦🇺 Australia	4.8
5	🇿🇦 South Africa	4.8
6	🇷🇺 Russia	4.8
7	🇧🇷 Brazil	4.8
8	🇺🇸 United States	4.7
9	🇳🇱 Netherlands	4.7
10	🇨🇿 Czechia	4.65
11	🇮🇳 India	4.65
12	🇫🇮 Finland	4.65
13	🇨🇷 Costa Rica	4.65
14	🇵🇪 Peru	4.65
15	🇪🇸 Spain	4.6
n=3,248

🤮 Least liked countries
#	Country	Rating
1	🇮🇪 Ireland	3.35
2	🇨🇱 Chile	3.45
3	🇦🇱 Albania	3.5
4	🇸🇰 Slovakia	3.55
5	🇨🇾 Cyprus	3.55
6	🇺🇾 Uruguay	3.55
7	🇵🇭 Philippines	3.7
8	🇱🇧 Lebanon	3.75
9	🇲🇩 Moldova	3.75
10	🇩🇴 Dominican Republic	3.75
11	🇧🇧 Barbados	3.75
12	🇲🇹 Malta	3.75
13	🇸🇪 Sweden	3.95
14	🇲🇪 Montenegro	3.95
15	🇰🇪 Kenya	4
n=3,248

⏰ How long do nomads stay in one city?
Duration	%
< 7 days	47%
7 - 30 days	32%
30 - 90 days	14%
90+ days	7%
Average	71 days (2 months)
Median	7 days
n=200,180

🏡 How long do nomads stay in one country?
Duration	%
< 7 days	4%
7 - 30 days	54%
30 - 90 days	29%
90+ days	14%
Average	232 days (8 months)
n=200,180

What do nomads do for work?

💻 Software Dev

📇 Startup Founder

🕸 Web Dev

😁 Marketing

👩‍🎨 Creative

🎨 UI/UX Design

n=16,183

👨 Nomad men work as
#	Work	%	vs. women
1	💻 Software Dev	34%	+230%
2	🕸 Web Dev	30%	+249%
3	📇 Startup Founder	29%	+113%
4	😁 Marketing	16%	-11%
5	📊 SaaS	13%	+153%
6	👩‍🎨 Creative	13%	-28%
7	🎨 UI/UX Design	13%	+25%
8	🤠 Product Manager	12%	+57%
9	💰 Crypto	12%	+251%
10	📱 Mobile Dev	11%	+317%
11	📈 Data	11%	+77%
12	💰 Finance	10%	+99%
13	🛒 Ecommerce	9%	+63%
14	📝 Blogging	7%	-33%
15	🤑 Sales	7%	+56%
n=12,945

👱‍♀️ Nomad women work as
#	Work	%	vs. men
1	👩‍🎨 Creative	18%	+39%
2	😁 Marketing	18%	+13%
3	📇 Startup Founder	13%	-53%
4	📝 Blogging	10%	+49%
5	💻 Software Dev	10%	-70%
6	🎨 UI/UX Design	10%	-20%
7	🤝 Community	9%	+44%
8	👨‍🏫 Education	9%	+33%
9	🕸 Web Dev	9%	-71%
10	👊 Coach	7%	+33%
11	🤠 Product Manager	7%	-36%
12	📈 Data	6%	-43%
13	🛒 Ecommerce	6%	-39%
14	📊 SaaS	5%	-61%
15	💰 Finance	5%	-50%
n=3,277

👨 Nomad men vs. women
#	Tag	vs. women
1	🗃 Dev Ops	+326%
2	📱 Mobile Dev	+317%
3	👾 Game Dev	+303%
4	💰 Crypto	+251%
5	🕸 Web Dev	+249%
6	📡 Sysadmin	+247%
7	💻 Software Dev	+230%
8	📊 SaaS	+153%
9	🗺 Geo	+151%
10	😎 VR Dev	+125%
11	📇 Startup Founder	+113%
12	🏃 Sports	+103%
13	💰 Finance	+99%
14	📈 Data	+77%
15	🚚 Logistics	+64%
n=16,183

👱‍♀️ Nomad women vs. men
#	Tag	vs. men
1	🧑‍💼 Human resources	+295%
2	🧠 Psychologist	+147%
3	📰 Journalism	+73%
4	👨‍⚕️ Medical	+59%
5	👋 Hospitality	+57%
6	📝 Blogging	+49%
7	🤝 Community	+44%
8	🙂 Support	+43%
9	📸 Model	+42%
10	👩‍🎨 Creative	+39%
11	📞 Recruitment	+35%
12	👨‍🏫 Education	+33%
13	👊 Coach	+33%
14	👩‍💼 Law	+23%
15	😁 Marketing	+13%
n=16,183

How do nomads describe themselves?

☕️ Coffee

🙂 Optimist

⛰ Outdoors

🐶 Dogs

🥾 Hiking

📖 Reading

n=16,183

👨‍ Nomad men
#	Tag	%	vs. 👱‍♀️
1	☕️ Coffee	40%	+15%
2	🙂 Optimist	30%	+17%
3	⛰ Outdoors	29%	-4%
4	🥾 Hiking	27%	+3%
5	🍺 Beer	27%	+98%
6	🐶 Dogs	27%	-1%
7	🌙 Staying up late	26%	+35%
8	📖 Reading	26%	-1%
9	☀️ Waking up early	26%	+13%
10	💪 Fitness	25%	+34%
11	🍷 Wine	25%	-12%
12	💉 COVID vaccinated	24%	+9%
13	👉 Right handed	24%	+43%
14	🥩 Eating meat	23%	+65%
15	🍵 Tea	22%	-11%
n=12,945

👱‍♀️ Nomad women
#	Tag	%	vs. 👨‍
1	☕️ Coffee	34%	-13%
2	⛰ Outdoors	30%	+4%
3	🍷 Wine	28%	+13%
4	🐶 Dogs	27%	+1%
5	📖 Reading	26%	+1%
6	🥾 Hiking	26%	-3%
7	🙂 Optimist	26%	-15%
8	🍵 Tea	25%	+12%
9	🤸‍♀️ Yoga	24%	+99%
10	☀️ Waking up early	23%	-11%
11	⛱ Beach	22%	+18%
12	💉 COVID vaccinated	22%	-8%
13	🍸 Cocktails	21%	+8%
14	🌯 Mexican food	19%	-6%
15	🌙 Staying up late	19%	-26%
n=3,277

👨 Nomad men vs. women
#	Tag	vs. 👱‍♀️
1	🧑‍ Short hair	+352%
2	⚽️ Football	+350%
3	🏀 Basketball	+306%
4	🪂 Dropout	+253%
5	👨 No beard	+237%
6	🏓 Table tennis	+227%
7	🎧 Garage music	+195%
8	🏒 Ice hockey	+186%
9	🎧 Hardstyle music	+184%
10	🏍 Motorcycling	+169%
11	🏂 Skateboarding	+161%
12	🏎 Race sports	+160%
13	👾 Gaming	+157%
14	🎸 Metal music	+156%
15	💪 Fight sports	+151%
n=16,183

👱‍♀️ Nomad women vs. men
#	Tag	vs. 👨
1	💄 Makeup	+2,204%
2	👗 Dress up	+336%
3	👱‍♀️ Long hair	+307%
4	✨ Astrology	+266%
5	💪 Feminism	+229%
6	🎨 Drawing	+120%
7	✋🏿 Black	+119%
8	💃 Dancing	+114%
9	⬛️ Has tattoos	+109%
10	🇰🇷 Speaks Korean	+105%
11	🌻 Gardening	+102%
12	🤸‍♀️ Yoga	+99%
13	🛍 Shopping	+98%
14	🟨 Blonde hair	+83%
15	🟥 Red hair	+83%
n=16,183

💉 Nomads by vaccination
Vaccinated	%
💉 COVID vaccinated	96%
💉 Not COVID vaccinated	4%
n=4,076

❤️ Nomads by family
Relationship	%
❤️ Close to parents	79%
💔 Not close to parents	21%
n=835

👶 Nomads by childhood
Childhood	%
😊 Happy childhood	89%
😔 Unhappy childhood	11%
n=907

🏡 Homeownership amongst nomads
Homeownership	%
🏡 Not a homeowner	51%
🏡 Homeowner	49%
n=1,005

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).

🏋️‍ Weightlifting

🎧 Hiphop music

😍 In a relationship

🏳️‍🌈 LGBT

💆 Massage

🍏 iPhone

n=16,183

👨‍ Attractive men's traits
#	Tag	Diff
1	🏉 Rugby	+192%
2	💔 Unhappy childhood	+187%
3	⬛️ Has tattoos	+140%
4	😍 In a relationship	+140%
5	⬜️ Has no tattoos	+134%
6	🏡 Homeowner	+133%
7	🍏 iPhone	+129%
8	🎧 Dubstep music	+128%
9	💬 LINE	+126%
10	🌊 Free diving	+122%
11	🥏 Frisbee	+119%
12	🧑‍ Short hair	+119%
13	💔 My parents separated	+117%
14	🧖 Sauna	+114%
15	🏀 Basketball	+114%
16	💆 Massage	+108%
17	💬 Twitter	+106%
18	🏡 Not a homeowner	+105%
19	🎧 Hiphop music	+101%
20	🏐 Volleyball	+101%
21	🏋️‍ Weightlifting	+101%
22	❤️ Happy childhood	+95%
23	🏒 Ice hockey	+95%
24	🪕 Folk music	+93%
25	❤️ My parents are together	+91%
26	💔 Not close to my parents	+90%
27	❤️ Close to my parents	+87%
28	🏓 Table tennis	+86%
29	💰 Pop music	+85%
30	🪜 Roost Stand	+83%
n=16,183

👱‍♀️ Attractive women's traits
#	Tag	Diff
1	🏋️‍ Weightlifting	+285%
2	🎧 Hiphop music	+265%
3	🏳️‍🌈 LGBT	+243%
4	🚬 Social smoker	+203%
5	🏃 Running	+180%
6	🏍 Motorcycling	+178%
7	🧼 Clean freak	+174%
8	🛍 Shopping	+167%
9	👗 Dress up	+161%
10	💆 Massage	+157%
11	😍 In a relationship	+157%
12	💰 Pop music	+149%
13	⛷ Skiing	+138%
14	🎧 House music	+135%
15	🚴 Cycling	+123%
16	🏄 Surfing	+118%
17	💪 Fitness	+116%
18	🎸 Rock music	+115%
19	✨ Astrology	+114%
20	⛰ Climbing	+111%
21	👨‍🎤 Partying	+109%
22	👱‍♀️ Long hair	+109%
23	🍏 iPhone	+108%
24	🚐 Vanlife	+108%
25	🧹 Tidy	+106%
26	🏊 Swimming	+104%
27	🥚 Hard boiled eggs	+101%
28	🧖 Sauna	+96%
29	👾 Gaming	+96%
30	🧒 Oldest child	+92%
n=16,183

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.

🏑 Field hockey

👴 Conservative politics

🌏 Third Culture Kid

😎 Single

🕺 Breakdance

🍖 Paleo

n=16,183

👨‍ Unattractive men's traits
#	Tag	Diff
1	🏑 Field hockey	-746%
2	😎 Single	-68%
3	🕺 Breakdance	-64%
4	🍖 Paleo	-63%
5	👴 Conservative politics	-47%
6	✈️ Private pilot	-38%
7	👅 Sex positive	-33%
8	💪 Feminism	-31%
9	🏚 Urbex	-28%
10	🏍 Motorcycling	-20%
11	🎞 Film making	-18%
12	🥚 Hard boiled eggs	-18%
13	🏏 Cricket	-16%
14	💃 Dancing	-14%
15	🏳️‍🌈 Progressive politics	-12%
16	🙏 Buddhist	-10%
17	😈 Kink	-10%
18	🎤 Singing	-9%
19	🎸 Acoustic music	-7%
20	🎧 Trance music	-4%
21	⛔️ Doesn't want kids	-4%
22	⛪️ History	-4%
23	🪜 Nexstand	-2%
24	🎹 Electronic music	-2%
25	👩‍🍳 Cooking	-2%
26	📸 Photography	-1%
27	🌏 Third Culture Kid	-1%
n=16,183

👱‍♀️ Unattractive women's traits
#	Tag	Diff
1	💪 Fight sports	-2,474%
2	💥 Messy	-1,538%
3	⬜️ Has no tattoos	-1,337%
4	🚬 Daily smoker	-669%
5	👴 Conservative politics	-535%
6	🪂 Dropout	-435%
7	🎧 Hardstyle music	-234%
8	⚾️ Baseball	-167%
9	🌏 Third Culture Kid	-107%
10	🍃 Sustainability	-94%
11	👶 Parent	-91%
12	🚜 Country music	-47%
13	🏡 Not a homeowner	-44%
14	🏂 Skateboarding	-40%
15	💬 Facebook	-38%
16	🏂 Snowboarding	-29%
17	🍖 Carnivore	-19%
18	😳 Introvert	-18%
19	🪕 Folk music	-17%
20	⚽️ Football	-15%
21	🥒 Vegetarian	-5%
22	🥛 No alcohol	-3%
n=16,183

Where do attractive people go?

👨‍ Where attractive people travel to
#	City	Attractiveness
1	🇪🇸 Ibiza	5
2	🇬🇷 Santorini	4.99
3	🇺🇸 Honolulu	4.83
4	🇲🇽 Tulum	4.79
5	🇲🇽 Puerto Escondido	4.79
6	🇨🇭 Geneva	4.79
7	🇮🇩 Canggu	4.65
8	🇫🇷 Lyon	4.65
9	🇪🇸 Seville	4.63
10	🇪🇸 Granada	4.55
11	🇨🇦 Vancouver	4.53
12	🇳🇱 Rotterdam	4.52
13	🇮🇸 Reykjavik	4.52
14	🇮🇩 Ubud	4.49
15	🇮🇩 Seminyak	4.49
16	🇻🇳 Hoi An	4.49
17	🇭🇷 Dubrovnik	4.49
18	🇺🇸 Boston	4.48
19	🇹🇭 Ko Tao	4.46
20	🇹🇭 Krabi	4.46
21	🇲🇽 Oaxaca	4.45
22	🇺🇸 Phoenix	4.43
23	🇲🇽 Playa del Carmen	4.42
24	🇲🇦 Marrakesh	4.42
25	🇨🇭 Zurich	4.42
26	🇪🇸 Mallorca	4.4
27	🇺🇸 Orlando	4.38
28	🇺🇸 Salt Lake City	4.37
29	🇮🇹 Milan	4.36
30	🇦🇺 Melbourne	4.36
Based on attractiveness of visitors n=206,527

👨‍ Where attractive men travel to
#	City	Attractiveness
1	🇪🇸 Ibiza	5
2	🇳🇱 Rotterdam	4.87
3	🇺🇸 Salt Lake City	4.71
4	🇮🇩 Canggu	4.67
5	🇮🇩 Seminyak	4.63
6	🇪🇸 Seville	4.62
7	🇻🇳 Hoi An	4.59
8	🇺🇸 Honolulu	4.59
9	🇪🇸 Granada	4.57
10	🇺🇾 Montevideo	4.52
11	🇨🇦 Montreal	4.52
12	🇺🇸 Philadelphia	4.52
13	🇦🇺 Brisbane	4.52
14	🇺🇸 New Orleans	4.52
15	🇨🇭 Geneva	4.52
16	🇦🇺 Sydney	4.52
17	🇮🇸 Reykjavik	4.52
18	🇳🇿 Auckland	4.52
19	🇺🇸 Boston	4.52
20	🇺🇸 San Diego	4.52
21	🇩🇪 Cologne	4.52
22	🇦🇺 Melbourne	4.52
23	🇨🇦 Vancouver	4.52
24	🇮🇱 Tel Aviv	4.52
25	🇧🇦 Sarajevo	4.52
26	🇹🇭 Krabi	4.52
27	🇵🇹 Porto	4.52
28	🇨🇭 Zurich	4.52
29	🇲🇽 Tulum	4.52
30	🇫🇮 Helsinki	4.52
Based on attractiveness of visitors n=206,527

👱‍♀️ Where attractive women travel to
#	City	Attractiveness
1	🇲🇪 Kotor	5
2	🇪🇸 Ibiza	4.95
3	🇭🇷 Zadar	4.94
4	🇵🇱 Warsaw	4.93
5	🇱🇹 Vilnius	4.92
6	🇺🇦 Kyiv	4.91
7	🇹🇭 Ko Samui	4.84
8	🇩🇴 Punta Cana	4.81
9	🇸🇰 Bratislava	4.79
10	🇮🇱 Tel Aviv	4.74
11	🇱🇻 Riga	4.73
12	🇸🇪 Stockholm	4.7
13	🇭🇷 Dubrovnik	4.69
14	🇹🇭 Krabi	4.69
15	🇰🇷 Seoul	4.65
16	🇨🇷 Santa Teresa	4.63
17	🇬🇪 Tbilisi	4.6
18	🇭🇷 Split	4.59
19	🇮🇩 Canggu	4.58
20	🇲🇲 Yangon	4.55
21	🇹🇭 Ko Pha Ngan	4.54
22	🇩🇪 Cologne	4.53
23	🇵🇹 Lagos	4.53
24	🇧🇪 Bruges	4.53
25	🇹🇭 Ko Tao	4.52
26	🇷🇺 Saint Petersburg	4.51
27	🇩🇰 Copenhagen	4.51
28	🇭🇷 Hvar	4.49
29	🇲🇹 Sliema	4.49
30	🇭🇷 Zagreb	4.49
Based on attractiveness of visitors n=206,527

And where do unattractive people go?

👨‍ Where unattractive people travel to
#	City	Attractiveness
1	🇮🇳 Bengaluru	2.85
2	🇮🇳 Goa	2.94
3	🇮🇳 Mumbai	3.05
4	🇹🇭 Pattaya	3.3
5	🇶🇦 Doha	3.47
6	🇩🇪 Dusseldorf	3.55
7	🇮🇳 Delhi	3.63
8	🇷🇴 Bucharest	3.67
9	🇺🇦 Lviv	3.7
10	🇸🇮 Ljubljana	3.73
11	🇰🇭 Phnom Penh	3.77
12	🇸🇰 Bratislava	3.79
13	🇲🇽 Guadalajara	3.81
14	🇧🇬 Sofia	3.81
15	🇹🇷 Antalya	3.81
16	🇯🇵 Osaka	3.85
17	🇬🇪 Batumi	3.86
18	🇦🇺 Perth	3.87
19	🇭🇷 Zagreb	3.87
20	🇪🇬 Cairo	3.87
21	🇧🇷 Florianopolis	3.88
22	🇵🇭 Manila	3.9
23	🇵🇭 Cebu	3.91
24	🇦🇪 Dubai	3.92
25	🇷🇸 Belgrade	3.93
26	🇨🇷 San José	3.94
27	🇲🇨 Monaco	3.94
28	🇩🇪 Hamburg	4
29	🇵🇱 Wrocław	4
30	🇧🇷 Rio de Janeiro	4
Based on unattractiveness of visitors n=206,527

👨‍ Where unattractive men travel to
#	City	Attractiveness
1	🇮🇳 Goa	2.86
2	🇮🇳 Mumbai	3.02
3	🇮🇳 Bengaluru	3.13
4	🇹🇭 Pattaya	3.23
5	🇪🇬 Cairo	3.51
6	🇶🇦 Doha	3.7
7	🇧🇬 Bansko	3.76
8	🇲🇨 Monaco	3.78
9	🇮🇳 Delhi	3.88
10	🇺🇦 Lviv	3.88
11	🇺🇸 Dallas	3.88
12	🇸🇰 Bratislava	3.88
13	🇹🇷 Antalya	3.88
14	🇸🇮 Ljubljana	3.88
15	🇵🇱 Wrocław	3.88
16	🇧🇬 Sofia	3.91
17	🇩🇪 Dusseldorf	3.91
18	🇷🇴 Bucharest	3.94
19	🇹🇷 Istanbul	3.94
20	🇧🇷 Florianopolis	3.96
21	🇯🇵 Osaka	3.98
22	🇭🇷 Zagreb	3.98
23	🇹🇼 Taipei	3.99
24	🇵🇭 Cebu	3.99
25	🇷🇸 Belgrade	4.01
26	🇬🇪 Tbilisi	4.02
27	🇨🇴 Medellín	4.02
28	🇰🇭 Phnom Penh	4.03
29	🇵🇱 Gdansk	4.05
30	🇲🇽 Oaxaca	4.06
Based on unattractiveness of visitors n=206,527

👱‍♀️ Where unattractive women travel to
#	City	Attractiveness
1	🇺🇸 Atlanta	3.29
2	🇨🇦 Ottawa	3.37
3	🇺🇸 Philadelphia	3.38
4	🇵🇷 San Juan	3.41
5	🇺🇸 New Orleans	3.42
6	🇺🇸 Houston	3.43
7	🇰🇪 Nairobi	3.53
8	🇪🇨 Quito	3.58
9	🇺🇸 Portland	3.62
10	🇬🇧 Glasgow	3.64
11	🇬🇷 Thessaloniki	3.65
12	🇮🇳 Mumbai	3.66
13	🇮🇹 Naples	3.66
14	🇺🇸 Washington	3.66
15	🇺🇸 Chicago	3.68
16	🇺🇸 Dallas	3.68
17	🇺🇸 Phoenix	3.68
18	🇵🇦 Panama City	3.68
19	🇮🇹 Palermo	3.68
20	🇯🇵 Osaka	3.68
21	🇲🇽 Merida	3.68
22	🇲🇽 San Miguel de Allende	3.72
23	🇰🇭 Phnom Penh	3.76
24	🇨🇳 Guangzhou	3.76
25	🇺🇸 Tampa	3.76
26	🇬🇷 Chania	3.77
27	🇨🇷 San José	3.77
28	🇬🇧 Manchester	3.77
29	🇺🇸 Denver	3.8
30	🇷🇴 Bucharest	3.8
Based on unattractiveness of visitors n=206,527