Who is the average nomad in 2024?

👶 35-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
Portimão most

💉 is vaccinated

🍃 produces 76% less CO₂

7️⃣ and stays for
7 months

n=33,505

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, as long as you reference us as "Nomad List" (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 Nomad List and the fastest growing remote work hubs of 2024.

Last updated: 28 minutes ago

👶 Nomads by age
Age	%
19	0.2%
21	0.3%
22	0.2%
23	0.3%
24	1%
25	1%
26	1%
27	2%
28	2%
29	3%
30	5%
31	6%
32	7%
33	6%
34	6%
35	7%
36	6%
37	6%
38	5%
39	5%
40	4%
41	3%
42	3%
43	2%
44	2%
n=1,217

⛳️ Nomads by nationality
#	Country	People	%
1	🇺🇸 United States	35,525,110	45%
2	🇬🇧 United Kingdom	5,537,595	7%
3	🇷🇺 Russia	3,683,130	5%
4	🇨🇦 Canada	3,586,375	5%
5	🇩🇪 Germany	2,976,820	4%
6	🇫🇷 France	2,534,974	3%
7	🇧🇷 Brazil	1,918,969	2%
8	🇦🇺 Australia	1,828,664	2%
9	🇳🇱 Netherlands	1,393,268	2%
10	🇪🇸 Spain	1,335,215	2%
11	🇮🇳 India	1,132,030	1%
12	🇺🇦 Ukraine	1,035,276	1%
13	🇮🇹 Italy	944,971	1%
14	🇵🇱 Poland	903,044	1%
15	🇨🇭 Switzerland	761,137	1%
16	🇦🇹 Austria	619,230	1%
17	🇸🇪 Sweden	528,926	1%
18	🇮🇪 Ireland	509,575	1%
19	🇮🇱 Israel	486,999	1%
20	🇹🇷 Turkey	483,774	1%
21	🇯🇵 Japan	477,323	1%
22	🇨🇿 Czechia	428,946	1%
23	🇧🇪 Belgium	428,946	1%
24	🇰🇷 South Korea	393,469	1%
25	🇿🇦 South Africa	393,469	1%
26	🇸🇬 Singapore	374,118	0%
27	🇵🇹 Portugal	374,118	0%
28	🇲🇽 Mexico	374,118	0%
29	🇦🇷 Argentina	367,668	0%
30	🇳🇿 New Zealand	348,317	0%
n=24,283

👶 Nomads by gender
Gender	%
👨‍ Men	86%
👱‍♀️ Women	14%
Last 30 days. n=92

👀 Nomads by sexuality
Sexuality	%
👋 Heterosexual	87%
🦄 Bisexual	8%
🏳️‍🌈 Gay or lesbian	5%
n=14,317

🙏 Nomads by beliefs
Religion	%
💫 Not religious	54%
🙏 Spirituality	28%
⛪️ Christianity	9%
🙏 Buddhism	3%
✨ Astrology	2%
🕌 Islam	2%
🕍 Judaism	2%
🕉 Hinduism	1%
👳 Sikhism	0%
n=7,286

✋ Nomads by ethnicity
Ethnicity	%
✋🏻 White	59%
✋🏾 Non-white	41%
↱✋🏼 Asian	14%
↱✋🏽 Latin	12%
↱✋🏿 Black	7%
↱✋🏽 Indian	5%
↱✋🏾 Middle Eastern	3%
↱✋🏽 Pacific	1%
n=6,470

🎓 Education
Education	%
🚌 High School	9%
🎓 Higher education	91%
↱📜 Bachelor's	54%
↱🎓 Master's	34%
↱👩‍🏫 PhD	3%
n=14,754

❤️ Nomads by relationship
Relationship	%
😎 Single	66%
😍 In a relationship	34%
n=7,923

👀 Nomads looking for
Looking for	%
🤝 Friends	35%
🎒 Travel buddies	32%
🍹 Casual dating	15%
❤️ Relationship	13%
👐 Poly dating	4%
n=49,606

💰 Nomads by income
Income	%
< $25k / y	6%
$25k - $50k / y	15%
$50k - $100k / y	34%
$100k - $250k / y	35%
> $250k - $1M / y	8%
> $1M / y	2%
Average	$123,342 / y
Median	$85,000 / y
n=4,011

💰 Nomads by employment
Employment type	%
Full time	41%
Freelance	18%
Startup founder	17%
Full time contractor	9%
Agency	8%
Other	5%
Part time	2%
Part time contractor	2%
n=4,733

🏡 Where do nomads work from
Place	%
🏡 Home office	59%
🏬 Coworking	15%
☕️ Cafe	8%
🏢 Office	6%
🍽 Dining table	4%
🛋 Couch	3%
🛏 Bed	2%
🪑 Balcony	1%
🚐 Van	1%
🔪 Kitchen	0%
💦 Pool	0%
🛥 Boat	0%
🪴 Garden	0%
📚 Library	0%
n=3,724

💬 What messaging apps nomads use?
Messaging app	%
Telegram	47%
Whatsapp	44%
Twitter	5%
Facebook	2%
Snapchat	1%
LINE	0%
WeChat	0%
Slack	0%
n=4,412

⚖️ Nomad men by politics
Politics	%
🏳️‍🌈 Progressive	47%
⚖️ Non-progressive	53%
↱🗽 Libertarian	26%
↱⚖️ Centrist	21%
↱👴 Conservative	6%
n=3,291

⚖️ Nomad women by politics
Politics	%
🏳️‍🌈 Progressive	72%
⚖️ Non-progressive	28%
↱🗽 Libertarian	13%
↱⚖️ Centrist	13%
↱👴 Conservative	3%
n=780

What do nomads eat?

🥩 75% of 👨‍ men eat meat

🥩 56% of 👱‍♀️women eat meat

🚫 38% of nomads don't eat meat

🥒 12% are vegetarian

🥑 11% are vegan

🐟 5% are pescetarian

n=6,679

🍕 Nomad men by diet
Diet	%
🥩 Eats meat	75%
🚫 Does not eat meat	25%
↱🥑 Vegan	11%
↱🥒 Vegetarian	10%
↱🐟 Pescetarian	4%
n=5,038

🍕 Nomad women by diet
Diet	%
🥩 Eats meat	56%
🚫 Does not eat meat	44%
↱🥒 Vegetarian	18%
↱🥑 Vegan	15%
↱🐟 Pescetarian	11%
n=1,165

How do nomads work out?

🥾 Hiking

💪 Fitness

🏃 Running

🤸‍♀️ Yoga

🏊 Swimming

🚴 Cycling

n=12,907

😅 Nomad men by sports
Sport	%
🥾 Hiking	49%
💪 Fitness	48%
🏃 Running	29%
🚴 Cycling	25%
🏊 Swimming	24%
🤸‍♀️ Yoga	21%
🏄 Surfing	18%
⛰ Climbing	16%
🌊 Diving	16%
🏂 Snowboarding	16%
⛷ Skiing	16%
🎾 Tennis	14%
🏍 Motorcycling	13%
💪 Fight sports	11%
💪 Crossfit	9%
n=9,550

😅 Nomad women by sports
Sport	%
🥾 Hiking	52%
🤸‍♀️ Yoga	44%
💪 Fitness	39%
🏊 Swimming	24%
🏃 Running	21%
🚴 Cycling	18%
🌊 Diving	15%
🏄 Surfing	14%
⛰ Climbing	13%
⛷ Skiing	12%
🎾 Tennis	10%
🏂 Snowboarding	9%
💪 Crossfit	6%
🏍 Motorcycling	5%
💪 Fight sports	5%
n=2,394

Where do nomads like to go most?

🇵🇹 Portimão

🇺🇸 Chicago

🇺🇦 Odessa

🇭🇺 Budapest

🇪🇸 Valencia

🇹🇭 Chiang Mai

n=329,611

😍 Most liked cities by men
#	City	Rating
1	🇵🇹 Porto	4.58
2	🇪🇸 Madrid	4.58
3	🇰🇷 Seoul	4.50
4	🇵🇱 Warsaw	4.50
5	🇯🇵 Tokyo	4.44
6	🇵🇱 Kraków	4.38
7	🇨🇿 Prague	4.38
8	🇲🇽 Mexico City	4.29
9	🇲🇾 Penang	4.29
10	🇿🇦 Cape Town	4.29
11	🇪🇸 Valencia	4.29
12	🇩🇪 Munich	4.29
13	🇭🇺 Budapest	4.23
14	🇬🇷 Athens	4.17
15	🇯🇵 Kyoto	4.17
n=4,783

😍 Most liked cities by women
#	City	Rating
1	🇨🇴 Medellín	4.00
2	🇹🇭 Chiang Mai	3.75
3	🇭🇺 Budapest	3.75
4	🇩🇪 Munich	3.75
5	🇩🇪 Berlin	3.75
6	🇦🇹 Vienna	3.75
7	🇲🇽 Playa del Carmen	3.00
n=4,783

🌆 Most visited cities
#	City	% visited
1	🇬🇧 London	2.28%
2	🇹🇭 Bangkok	2.03%
3	🇺🇸 New York City	1.55%
4	🇩🇪 Berlin	1.51%
5	🇵🇹 Lisbon	1.5%
6	🇫🇷 Paris	1.49%
7	🇪🇸 Barcelona	1.47%
8	🇳🇱 Amsterdam	1.26%
9	🇺🇸 San Francisco	1.19%
10	🇹🇭 Chiang Mai	1.08%
11	🇲🇽 Mexico City	1.01%
12	🇸🇬 Singapore	0.91%
13	🇮🇩 Canggu	0.9%
14	🇺🇸 Los Angeles	0.88%
15	🇹🇷 Istanbul	0.85%
16	🇯🇵 Tokyo	0.83%
17	🇭🇺 Budapest	0.81%
18	🇪🇸 Madrid	0.81%
19	🇲🇾 Kuala Lumpur	0.76%
20	🇨🇿 Prague	0.73%
21	🇦🇪 Dubai	0.7%
22	🇦🇷 Buenos Aires	0.67%
23	🇨🇴 Medellín	0.64%
24	🇷🇺 Moscow	0.62%
25	🇮🇹 Rome	0.59%
26	🇦🇹 Vienna	0.58%
27	🇭🇰 Hong Kong	0.53%
28	🇻🇳 Ho Chi Minh City	0.53%
29	🇮🇩 Ubud	0.53%
30	🇹🇭 Phuket	0.52%
n=329,611

🌎 Most visited countries
#	Country	% visited
1	🇺🇸 United States	14%
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	🇧🇷 Brazil	2%
12	🇨🇦 Canada	2%
13	🇳🇱 Netherlands	2%
14	🇯🇵 Japan	2%
15	🇻🇳 Vietnam	2%
16	🇷🇺 Russia	2%
17	🇨🇴 Colombia	1%
18	🇹🇷 Turkey	1%
19	🇦🇺 Australia	1%
20	🇵🇱 Poland	1%
21	🇮🇳 India	1%
22	🇲🇾 Malaysia	1%
23	🇬🇷 Greece	1%
24	🇦🇷 Argentina	1%
25	🇨🇭 Switzerland	1%
26	🇦🇹 Austria	1%
27	🇭🇷 Croatia	1%
28	🇸🇬 Singapore	1%
29	🇭🇺 Hungary	1%
n=329,611

🍃 Avg. CO₂ by member traveling
Year	CO₂
2013	676 kg/y
2014	994 kg/y
2015	1,098 kg/y
2016	1,318 kg/y
2017	1,511 kg/y
2018	1,603 kg/y
2019	1,632 kg/y
2020	1,015 kg/y
2021	1,018 kg/y
2022	1,638 kg/y
2023	1,762 kg/y
2024	2,884 kg/y
Average	1,270 kg/y
Median	1,208 kg/y
Based on 329,611 trips by 13,332 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 1,208 kg/y, or 76% less CO₂ than the average American on travel and commuting.

👨 Where men go most
#	Tag	vs. 👱‍♀️
1	🇹🇭 Bangkok	+23%
2	🇵🇹 Lisbon	-14%
3	🇪🇸 Barcelona	-9%
4	🇬🇧 London	-21%
5	🇫🇷 Paris	-19%
6	🇩🇪 Berlin	-2%
7	🇳🇱 Amsterdam	+5%
8	🇹🇭 Chiang Mai	-3%
9	🇮🇩 Canggu	+2%
10	🇹🇷 Istanbul	+9%
11	🇸🇬 Singapore	+13%
12	🇭🇺 Budapest	+18%
13	🇲🇽 Mexico City	-23%
14	🇯🇵 Tokyo	+10%
15	🇨🇿 Prague	+18%
median temp=17°C; n=329,611

👱‍♀️ Where women go most
#	Tag	vs. 👨
1	🇵🇹 Lisbon	+16%
2	🇬🇧 London	+26%
3	🇪🇸 Barcelona	+10%
4	🇫🇷 Paris	+23%
5	🇹🇭 Bangkok	-19%
6	🇲🇽 Mexico City	+29%
7	🇩🇪 Berlin	+2%
8	🇹🇭 Chiang Mai	+3%
9	🇳🇱 Amsterdam	-5%
10	🇮🇩 Canggu	-2%
11	🇮🇹 Rome	+23%
12	🇹🇷 Istanbul	-8%
13	🇮🇩 Ubud	+24%
14	🇺🇸 New York City	+9%
15	🇦🇷 Buenos Aires	+14%
median temp=18°C; n=329,611

👨 Where men go more
#	Tag	vs. women
1	🇺🇦 Ukraine	+97%
2	🇷🇺 Russia	+76%
3	🇵🇱 Poland	+71%
4	🇷🇴 Romania	+68%
5	🇬🇪 Georgia	+42%
6	🇷🇸 Serbia	+34%
7	🇭🇰 Hong Kong	+29%
8	🇦🇪 United Arab Emirates	+25%
9	🇳🇿 New Zealand	+25%
10	🇨🇿 Czechia	+22%
11	🇵🇭 Philippines	+20%
12	🇭🇺 Hungary	+18%
13	🇻🇳 Vietnam	+18%
14	🇳🇴 Norway	+17%
15	🇲🇾 Malaysia	+17%
median temp=13°C; n=329,611

👱‍♀️ Where women go more
#	Tag	vs. men
1	🇿🇦 South Africa	+56%
2	🇨🇷 Costa Rica	+45%
3	🇲🇽 Mexico	+42%
4	🇬🇧 United Kingdom	+27%
5	🇨🇱 Chile	+26%
6	🇭🇷 Croatia	+20%
7	🇫🇷 France	+18%
8	🇮🇹 Italy	+16%
9	🇵🇪 Peru	+16%
10	🇬🇷 Greece	+13%
11	🇦🇷 Argentina	+10%
12	🇵🇹 Portugal	+9%
13	🇦🇺 Australia	+9%
14	🇺🇸 United States	+8%
15	🇪🇸 Spain	+6%
median temp=18°C; n=329,611

😍 Most liked countries
#	Country	Rating
1	🇰🇷 South Korea	4.7
2	🇬🇷 Greece	4.65
3	🇭🇺 Hungary	4.65
4	🇭🇷 Croatia	4.65
5	🇨🇿 Czechia	4.4
6	🇲🇾 Malaysia	4.35
7	🇵🇱 Poland	4.3
8	🇿🇦 South Africa	4.25
9	🇩🇰 Denmark	4.15
10	🇺🇾 Uruguay	4.15
11	🇵🇦 Panama	4.15
12	🇫🇷 France	4.1
13	🇩🇪 Germany	4.05
14	🇪🇸 Spain	4.05
15	🇮🇳 India	4
n=2,041

🤮 Least liked countries
#	Country	Rating
1	🇮🇱 Israel	1.65
2	🇮🇷 Iran	1.65
3	🇲🇩 Moldova	1.65
4	🇭🇳 Honduras	1.65
5	🏴 Kurdistan	1.65
6	🇲🇪 Montenegro	1.8
7	🇱🇰 Sri Lanka	2
8	🇱🇦 Laos	2.15
9	🇨🇱 Chile	2.25
10	🇸🇴 Somalia	2.5
11	🇪🇹 Ethiopia	2.5
12	🇷🇼 Rwanda	2.5
13	🇬🇮 Gibraltar	2.5
14	🇸🇳 Senegal	2.5
15	🇻🇪 Venezuela	2.5
n=2,041

⏰ How long do nomads stay in one city?
Duration	%
< 7 days	46%
7 - 30 days	33%
30 - 90 days	14%
90+ days	6%
Average	64 days (2 months)
Median	7 days
n=320,861

🏡 How long do nomads stay in one country?
Duration	%
< 7 days	0%
7 - 30 days	60%
30 - 90 days	27%
90+ days	13%
Average	198 days (7 months)
n=320,861

What do nomads do for work?

💻 Software Dev

📇 Startup Founder

🕸 Web Dev

😁 Marketing

👩‍🎨 Creative

📊 SaaS

n=23,011

👨 Nomad men work as
#	Work	%	vs. women
1	💻 Software Dev	34%	+241%
2	🕸 Web Dev	28%	+254%
3	📇 Startup Founder	27%	+135%
4	😁 Marketing	15%	+1%
5	📊 SaaS	13%	+196%
6	👩‍🎨 Creative	12%	-18%
7	🎨 UI/UX Design	11%	+39%
8	🤠 Product Manager	11%	+71%
9	💰 Crypto	11%	+256%
10	📈 Data	11%	+107%
11	📱 Mobile Dev	11%	+341%
12	💰 Finance	10%	+130%
13	🛒 Ecommerce	9%	+105%
14	🤑 Sales	7%	+84%
15	👨‍🏫 Education	6%	-9%
n=18,452

👱‍♀️ Nomad women work as
#	Work	%	vs. men
1	😁 Marketing	15%	-1%
2	👩‍🎨 Creative	15%	+22%
3	📇 Startup Founder	11%	-57%
4	💻 Software Dev	10%	-71%
5	🎨 UI/UX Design	8%	-28%
6	🕸 Web Dev	8%	-72%
7	📝 Blogging	8%	+20%
8	🤝 Community	7%	+23%
9	👨‍🏫 Education	7%	+10%
10	👊 Coach	7%	+22%
11	🤠 Product Manager	6%	-42%
12	📈 Data	5%	-52%
13	📊 SaaS	4%	-66%
14	🛒 Ecommerce	4%	-51%
15	💰 Finance	4%	-56%
n=5,680

👨 Nomad men vs. women
#	Tag	vs. women
1	👾 Game Dev	+352%
2	📱 Mobile Dev	+341%
3	🗃 Dev Ops	+305%
4	📡 Sysadmin	+294%
5	💰 Crypto	+256%
6	🕸 Web Dev	+254%
7	💻 Software Dev	+241%
8	📊 SaaS	+196%
9	😎 VR Dev	+156%
10	🏃 Sports	+152%
11	🗺 Geo	+139%
12	📇 Startup Founder	+135%
13	💰 Finance	+130%
14	📈 Data	+107%
15	🛒 Ecommerce	+105%
n=23,011

👱‍♀️ Nomad women vs. men
#	Tag	vs. men
1	🧑‍💼 Human resources	+76%
2	🧠 Psychologist	+62%
3	📰 Journalism	+50%
4	👨‍⚕️ Medical	+32%
5	🙂 Support	+29%
6	🤝 Community	+23%
7	👋 Hospitality	+22%
8	👩‍🎨 Creative	+22%
9	👊 Coach	+22%
10	📝 Blogging	+20%
11	📸 Model	+15%
12	📞 Recruitment	+13%
13	👨‍🏫 Education	+10%
14	👩‍💼 Law	+9%
n=23,011

How do nomads describe themselves?

☕️ Coffee

🙂 Optimist

🇬🇧 Speaks English

💉 COVID vaccinated

⛰ Outdoors

🐶 Dogs

n=23,011

👨‍ Nomad men
#	Tag	%	vs. 👱‍♀️
1	☕️ Coffee	39%	+29%
2	🙂 Optimist	31%	+33%
3	🇬🇧 Speaks English	30%	+22%
4	💉 COVID vaccinated	27%	+21%
5	⛰ Outdoors	27%	+9%
6	🥾 Hiking	26%	+17%
7	🐶 Dogs	26%	+10%
8	💪 Fitness	26%	+52%
9	🍺 Beer	25%	+126%
10	☀️ Waking up early	25%	+29%
11	🌙 Staying up late	25%	+55%
12	🧠 Open-minded	24%	+23%
13	📖 Reading	24%	+13%
14	🍷 Wine	23%	+1%
15	😎 Single	23%	+36%
n=18,452

👱‍♀️ Nomad women
#	Tag	%	vs. 👨‍
1	☕️ Coffee	30%	-23%
2	⛰ Outdoors	24%	-8%
3	🇬🇧 Speaks English	24%	-18%
4	🐶 Dogs	23%	-9%
5	🙂 Optimist	23%	-25%
6	🍷 Wine	23%	-1%
7	💉 COVID vaccinated	23%	-17%
8	🥾 Hiking	22%	-15%
9	📖 Reading	21%	-11%
10	🍵 Tea	21%	-1%
11	🧠 Open-minded	19%	-18%
12	☀️ Waking up early	19%	-23%
13	🤸‍♀️ Yoga	19%	+68%
14	⛱ Beach	18%	+5%
15	🍸 Cocktails	17%	-8%
n=5,680

👨 Nomad men vs. women
#	Tag	vs. 👱‍♀️
1	🧔 Have a beard	+1,168%
2	🪜 Roost Stand	+372%
3	👨 No beard	+338%
4	⚽️ Football	+333%
5	🧑‍ Short hair	+257%
6	🎧 Hardstyle music	+227%
7	🏎 Race sports	+218%
8	🏒 Ice hockey	+217%
9	🏍 Motorcycling	+213%
10	🏀 Basketball	+203%
11	🪂 Dropout	+202%
12	👴 Conservative politics	+192%
13	🏓 Table tennis	+187%
14	👾 Gaming	+176%
15	🏂 Skateboarding	+172%
n=23,011

👱‍♀️ Nomad women vs. men
#	Tag	vs. 👨
1	💄 Makeup	+2,963%
2	👱‍♀️ Long hair	+275%
3	👗 Dress up	+232%
4	✨ Astrology	+228%
5	✨ Believe in astrology	+225%
6	💪 Feminism	+186%
7	🎨 Drawing	+101%
8	🦾 Disabled	+91%
9	💃 Dancing	+86%
10	🟥 Red hair	+84%
11	🛍 Shopping	+70%
12	🇰🇷 Speaks Korean	+68%
13	🤸‍♀️ Yoga	+68%
14	🌻 Gardening	+68%
15	✋🏿 Black	+65%
n=23,011

💉 Nomads by vaccination
Vaccinated	%
💉 COVID vaccinated	94%
💉 Not COVID vaccinated	6%
n=7,057

❤️ Nomads by family
Relationship	%
❤️ Close to parents	81%
💔 Not close to parents	19%
n=1,775

👶 Nomads by childhood
Childhood	%
😊 Happy childhood	89%
😔 Unhappy childhood	11%
n=1,927

🏡 Homeownership amongst nomads
Homeownership	%
🏡 Homeowner	53%
🏡 Not a homeowner	47%
n=2,087

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).

💔 My parents separated

🏓 Table tennis

🏐 Volleyball

😍 In a relationship

🏳️‍🌈 LGBT

🛍 Shopping

n=23,011

👨‍ Attractive men's traits
#	Tag	Diff
1	😍 In a relationship	+134%
2	✨ Believe in astrology	+116%
3	💉 Not COVID vaccinated	+82%
4	🏡 Homeowner	+76%
5	🧐 Pessimist	+70%
6	💬 Twitter	+69%
7	👶 Parent	+69%
8	🌊 Free diving	+68%
9	🏀 Basketball	+64%
10	🧑‍ Short hair	+62%
11	🎧 Dubstep music	+58%
12	🎧 Hiphop music	+56%
13	🏐 Volleyball	+55%
14	🍏 iPhone	+52%
15	🏡 Not a homeowner	+50%
16	🪂 Dropout	+49%
17	❤️ Happy childhood	+49%
18	🥚 Soft boiled eggs	+48%
19	🍁 Reggae music	+47%
20	🏒 Ice hockey	+44%
21	🏓 Table tennis	+43%
22	🎧 Drum & Bass music	+42%
23	💬 Facebook	+41%
24	🎏 Kitesurfing	+40%
25	🧼 Clean freak	+40%
26	💬 Instagram	+39%
27	🎸 Metal music	+38%
28	🎸 Indie rock music	+38%
29	💉 COVID vaccinated	+37%
30	💰 Pop music	+37%
n=23,011

👱‍♀️ Attractive women's traits
#	Tag	Diff
1	💔 My parents separated	+346%
2	🏓 Table tennis	+301%
3	🏐 Volleyball	+263%
4	🏳️‍🌈 LGBT	+254%
5	🛍 Shopping	+244%
6	🧒 Only child	+218%
7	🎸 Punk music	+215%
8	🗽 Libertarian politics	+201%
9	🏃 Running	+183%
10	👨‍🎤 Partying	+164%
11	🧼 Clean freak	+157%
12	💄 Makeup	+155%
13	🐟 Pescetarian	+155%
14	🚬 Social smoker	+154%
15	😍 In a relationship	+153%
16	⛷ Skiing	+147%
17	👗 Dress up	+145%
18	🚐 Vanlife	+136%
19	🍾 Drinking alcohol	+134%
20	🍺 Beer	+132%
21	🏄 Surfing	+131%
22	✨ Astrology	+129%
23	🏍 Motorcycling	+125%
24	🎞 Film making	+125%
25	🚴 Cycling	+124%
26	🎧 Techno music	+123%
27	🌙 Staying up late	+122%
28	🎸 Indie rock music	+120%
29	⬜️ Has no tattoos	+120%
30	🎸 Acoustic music	+116%
n=23,011

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

🪂 Skydiving

💄 Makeup

🎭 Swinging

🌸 Anime

🪜 Nexstand

n=23,011

👨‍ Unattractive men's traits
#	Tag	Diff
1	🪂 Skydiving	-762%
2	💄 Makeup	-515%
3	🎭 Swinging	-428%
4	🪜 Nexstand	-212%
5	🏚 Urbex	-110%
6	🎳 Bowling	-80%
7	😎 Single	-70%
8	😶‍🌫️ Hang gliding	-63%
9	🎧 Trance music	-56%
10	🪂 Paragliding	-56%
11	🐩 Samoyeds	-55%
12	💪 Feminism	-49%
13	🍖 Paleo	-47%
14	🏏 Cricket	-45%
15	🏳️‍🌈 Progressive politics	-41%
16	👅 Sex positive	-37%
17	🎱 Pool	-34%
18	🌏 Third Culture Kid	-32%
19	😈 Kink	-30%
20	🎞 Film making	-27%
21	🥚 Hard boiled eggs	-26%
22	⚾️ Baseball	-26%
23	📔 Religious	-25%
24	🎤 Singing	-25%
25	🌻 Gardening	-24%
26	🙏 Buddhist	-23%
27	🥏 Frisbee	-21%
28	🕺 Breakdance	-21%
29	🛍 Shopping	-19%
30	🌸 Anime	-19%
n=23,011

👱‍♀️ Unattractive women's traits
#	Tag	Diff
1	💥 Messy	-1,694%
2	🪂 Paragliding	-936%
3	👴 Conservative politics	-431%
4	💬 Slack	-330%
5	💬 Discord	-279%
6	🌸 Anime	-203%
7	🪜 Roost Stand	-127%
8	💬 Snapchat	-102%
9	😈 Kink	-92%
10	🏸 Badminton	-90%
11	💬 Instagram	-84%
12	😶‍🌫️ Hang gliding	-77%
13	🇰🇷 K-pop music	-77%
14	🏂 Skateboarding	-62%
15	🍖 Carnivore	-47%
16	❤️ Happy childhood	-44%
17	✨ Believe in astrology	-29%
18	🚜 Country music	-14%
19	🎏 Kitesurfing	-12%
20	💬 Facebook	-11%
21	👶 Parent	-9%
22	🍃 Sustainability	-6%
23	💬 Telegram	-6%
24	🍖 Paleo	-4%
25	🎧 Garage music	-4%
26	💪 Fight sports	-2%
n=23,011

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 Nomad List'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).

🤝 Community

📱 Mobile Dev

🎨 UI/UX Design

👩‍🎨 Creative

📊 SaaS

📇 Startup Founder

n=23,011

👨‍ Attractive men's jobs
#	Tag	Diff
1	👨‍⚕️ Medical	+55%
2	👾 Game Dev	+44%
3	🎨 UI/UX Design	+41%
4	📞 Recruitment	+39%
5	📊 SaaS	+36%
6	📱 Mobile Dev	+35%
7	🤠 Product Manager	+30%
8	📇 Startup Founder	+23%
9	🗃 Dev Ops	+21%
10	🛒 Ecommerce	+20%
11	👊 Coach	+19%
12	💪 Fitness	+18%
13	😁 Marketing	+18%
14	🤑 Sales	+17%
15	🚚 Logistics	+16%
16	😎 VR Dev	+15%
17	💻 Software Dev	+13%
18	🤝 Community	+11%
19	📈 Data	+11%
20	🕸 Web Dev	+10%
21	💰 Crypto	+8%
22	🏃 Sports	+8%
23	💰 Finance	+5%
24	👨‍🏫 Education	+2%
n=23,011

👱‍♀️ Attractive women's jobs
#	Tag	Diff
1	🤝 Community	+149%
2	📱 Mobile Dev	+115%
3	👩‍🎨 Creative	+101%
4	📝 Blogging	+94%
5	🎨 UI/UX Design	+79%
6	📇 Startup Founder	+71%
7	🛒 Ecommerce	+70%
8	📊 SaaS	+64%
9	😁 Marketing	+62%
10	🤠 Product Manager	+56%
11	💰 Finance	+53%
12	🤑 Sales	+47%
13	👨‍🏫 Education	+45%
14	👊 Coach	+42%
15	💻 Software Dev	+24%
16	📈 Data	+12%
17	🕸 Web Dev	+10%
n=23,011

And unattractive jobs?

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 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

👋 Hospitality

📸 Model

👩‍💼 Law

📰 Journalism

🏡 Architecture

n=23,011

👨‍ Unattractive men's jobs
#	Tag	Diff
1	🚩 Politics	-265%
2	📸 Model	-95%
3	👩‍💼 Law	-90%
4	📰 Journalism	-66%
5	🏡 Architecture	-49%
6	🧑‍💼 Human resources	-39%
7	🌶 Adult	-36%
8	🙂 Support	-24%
9	📡 Sysadmin	-21%
10	👋 Hospitality	-20%
11	🗺 Geo	-5%
12	📝 Blogging	-4%
13	👩‍🎨 Creative	-4%
n=23,011

👱‍♀️ Unattractive women's jobs
#	Tag	Diff
1	🚩 Politics	-1,113%
2	😎 VR Dev	-532%
3	👋 Hospitality	-249%
4	🏃 Sports	-82%
n=23,011

Where do attractive people go?

👨‍ Where attractive men travel to
#	City	Attractiveness
1	🇵🇹 Ericeira	5
2	🇦🇺 Brisbane	4.88
3	🇲🇾 Langkawi	4.88
4	🇮🇸 Reykjavik	4.77
5	🇲🇽 Cabo San Lucas	4.75
6	🇨🇷 Tamarindo	4.73
7	🇺🇸 Boston	4.68
8	🇳🇴 Bergen	4.62
9	🇮🇩 Uluwatu	4.6
10	🇺🇸 Orlando	4.58
11	🇰🇷 Busan	4.55
12	🇩🇴 Punta Cana	4.51
13	🇩🇪 Frankfurt	4.5
14	🇪🇸 Mallorca	4.5
15	🇿🇦 Johannesburg	4.48
16	🇦🇷 Mendoza	4.47
17	🇲🇽 Sayulita	4.46
18	🇳🇿 Queenstown	4.45
19	🇧🇪 Antwerp	4.44
20	🇵🇹 Faro	4.43
21	🇱🇦 Vientiane	4.43
22	🇳🇿 Auckland	4.43
23	🇱🇦 Luang Prabang	4.41
24	🇹🇭 Ko Lanta	4.4
25	🇻🇳 Hoi An	4.4
26	🇦🇺 Melbourne	4.4
27	🇫🇷 Nice	4.4
28	🇪🇸 Ibiza	4.4
29	🇮🇹 Palermo	4.39
30	🇮🇱 Tel Aviv	4.39
Based on attractiveness of visitors n=329,611

👱‍♀️ Where attractive women travel to
#	City	Attractiveness
1	🇹🇭 Ko Phi Phi	5
2	🇭🇷 Zadar	4.99
3	🇮🇹 Amalfi	4.99
4	🇮🇹 Genoa	4.98
5	🇵🇱 Warsaw	4.96
6	🇩🇴 Punta Cana	4.96
7	🇵🇱 Kraków	4.9
8	🇺🇦 Kyiv	4.88
9	🇹🇭 Ko Samui	4.86
10	🇲🇪 Budva	4.85
11	🇦🇹 Salzburg	4.8
12	🇨🇱 Valparaíso	4.78
13	🇰🇷 Busan	4.75
14	🇲🇪 Kotor	4.73
15	🇲🇦 Casablanca	4.72
16	🇸🇰 Bratislava	4.71
17	🇮🇩 Jakarta	4.7
18	🇺🇸 Orlando	4.7
19	🇪🇸 Fuerteventura	4.69
20	🇦🇹 Vienna	4.68
21	🇸🇮 Ljubljana	4.68
22	🇪🇸 Gran Canaria	4.63
23	🇮🇹 Catania	4.63
24	🇷🇺 Moscow	4.62
25	🇮🇹 Milan	4.62
26	🇺🇸 Boston	4.62
27	🇺🇸 Portland	4.62
28	🇨🇾 Larnaca	4.6
29	🇩🇪 Dusseldorf	4.6
30	🇫🇷 Strasbourg	4.59
Based on attractiveness of visitors n=329,611

And where do unattractive people go?

👨‍ Where unattractive men travel to
#	City	Attractiveness
1	🇹🇭 Pattaya	3.19
2	🇮🇳 Goa	3.3
3	🇮🇳 Mumbai	3.59
4	🇷🇺 Moscow	3.66
5	🇲🇽 Guadalajara	3.66
6	🇲🇪 Podgorica	3.66
7	🇳🇵 Kathmandu	3.66
8	🇪🇸 Alicante	3.66
9	🇹🇷 Antalya	3.7
10	🇪🇬 Cairo	3.72
11	🇵🇾 Asuncion	3.74
12	🇺🇦 Lviv	3.74
13	🇨🇺 Havana	3.78
14	🇮🇩 Kuta	3.78
15	🇮🇱 Jerusalem	3.79
16	🇧🇾 Minsk	3.79
17	🇰🇿 Almaty	3.82
18	🇰🇪 Nairobi	3.82
19	🇵🇱 Wrocław	3.83
20	🇪🇸 Bilbao	3.83
21	🇨🇭 Geneva	3.83
22	🇵🇱 Gdansk	3.83
23	🇶🇦 Doha	3.83
24	🇹🇭 Pai	3.84
25	🇦🇱 Tirana	3.84
26	🇦🇪 Dubai	3.85
27	🇮🇳 Delhi	3.86
28	🇵🇭 Cebu	3.87
29	🇨🇳 Shenzhen	3.89
30	🇵🇦 Panama City	3.89
Based on unattractiveness of visitors n=329,611

👱‍♀️ Where unattractive women travel to
#	City	Attractiveness
1	🇪🇨 Cuenca	2.97
2	🇰🇪 Nairobi	3.21
3	🇪🇨 Quito	3.24
4	🇧🇪 Antwerp	3.24
5	🇪🇸 Tarifa	3.25
6	🇦🇺 Perth	3.45
7	🇺🇸 Atlanta	3.49
8	🇳🇮 San Juan del Sur	3.49
9	🇵🇷 San Juan	3.49
10	🇺🇸 New Orleans	3.49
11	🇬🇧 Manchester	3.56
12	🇲🇽 Guadalajara	3.57
13	🇱🇦 Vientiane	3.59
14	🇯🇴 Amman	3.59
15	🇲🇽 Guanajuato	3.64
16	🇨🇴 Bogota	3.64
17	🇬🇧 Liverpool	3.66
18	🇳🇿 Wellington	3.66
19	🇰🇭 Phnom Penh	3.68
20	🇲🇽 San Miguel de Allende	3.74
21	🇨🇳 Guangzhou	3.74
22	🇮🇩 Denpasar	3.74
23	🇳🇵 Kathmandu	3.75
24	🇮🇳 Mumbai	3.77
25	🇲🇽 San Cristóbal de las Casas	3.79
26	🇲🇽 Merida	3.79
27	🇮🇩 Kuta	3.79
28	🇵🇦 Panama City	3.8
29	🇲🇽 Cozumel	3.8
30	🇬🇧 Glasgow	3.8
Based on unattractiveness of visitors n=329,611