Homepage๐ Dark mode โค๏ธ Your favorites๐ Nomad insurance๐ถ32-year old
๐ณ๏ธโ๐ Progressive
๐ซ Not religious
๐ Single
โ๐ป White
๐ Heterosexual
๐จโ Man
๐บ๐ธfrom
US
๐ปworks as a
Software Dev
๐ฐmakes
$80,000 / y
โ๏ธloves
Coffee
๐คis looking for
๐ค Friends
๐ฅฉeats meat
๐ฅพworks out by
Hiking
๐ฏ๐ต loves
Tokyo
๐ฏ๐ต loves
Japan
๐is vaccinated
6๏ธโฃ9๏ธโฃand stays for
69 days, nice
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 build LIVE with data pulled straight from the database every hour, 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 2021.
Last updated: 2 minutes ago
๐ถ Nomads by age | ||||
| Age | % | |||
| 19 | 0.1% | |||
| 21 | 0.4% | |||
| 22 | 0.4% | |||
| 23 | 1% | |||
| 24 | 1% | |||
| 25 | 2% | |||
| 26 | 3% | |||
| 27 | 4% | |||
| 28 | 5% | |||
| 29 | 7% | |||
| 30 | 5% | |||
| 31 | 8% | |||
| 32 | 9% | |||
| 33 | 8% | |||
| 34 | 6% | |||
| 35 | 5% | |||
| 36 | 6% | |||
| 37 | 4% | |||
| 38 | 3% | |||
| 39 | 4% | |||
| 40 | 3% | |||
| 41 | 3% | |||
| 42 | 3% | |||
| 43 | 1% | |||
| 44 | 1% | n=990 | ||
โณ๏ธ Nomads by nationality | ||||
| # | Country | % | ||
| 1 | ๐บ๐ธ United States | 50% | ||
| 2 | ๐ฌ๐ง United Kingdom | 13% | ||
| 3 | ๐ท๐บ Russia | 5% | ||
| 4 | ๐จ๐ฆ Canada | 4% | ||
| 5 | ๐ฉ๐ช Germany | 3% | ||
| 6 | ๐ซ๐ท France | 2% | ||
| 7 | ๐ฆ๐บ Australia | 2% | ||
| 8 | ๐ง๐ท Brazil | 2% | ||
| 9 | ๐ณ๐ฑ Netherlands | 2% | ||
| 10 | ๐ช๐ธ Spain | 1% | ||
| 11 | ๐บ๐ฆ Ukraine | 1% | ||
| 12 | ๐ฎ๐ณ India | 1% | ||
| 13 | ๐ต๐ฑ Poland | 1% | ||
| 14 | ๐ฆ๐น Austria | 1% | ||
| 15 | ๐จ๐ญ Switzerland | 1% | ||
| 16 | ๐ฎ๐น Italy | 1% | ||
| 17 | ๐ธ๐ช Sweden | 1% | n=19,826 | |
๐ถ Nomads by gender | ||||
| Gender | % | |||
| ๐จโ Men | 79% | |||
| ๐ฑโโ๏ธ Women | 20% | |||
| ๐ง Other | 1% | n=11,709 | ||
๐ Nomads by sexuality | ||||
| Sexuality | % | |||
| ๐ Heterosexual | 86% | |||
| ๐ฆ Bisexual | 9% | |||
| ๐ณ๏ธโ๐ Gay or lesbian | 5% | n=6,935 | ||
๐ Nomads by beliefs | ||||
| Religion | % | |||
| ๐ซ Not religious | 55% | |||
| ๐ Spirituality | 32% | |||
| โช๏ธ Christian | 6% | |||
| ๐ Buddhist | 2% | |||
| โจ Astrology | 2% | |||
| ๐ Muslim | 1% | |||
| ๐ Jewish | 1% | |||
| ๐ Hindu | 0% | n=3,229 | ||
โ Nomads by ethnicity | ||||
| Ethnicity | % | |||
| โ๐ป White | 62% | |||
| โ๐ผ Asian | 13% | |||
| โ๐ฝ Latin | 11% | |||
| โ๐ฟ Black | 6% | |||
| โ๐ฝ Indian | 4% | |||
| โ๐พ Middle Eastern | 3% | |||
| โ๐ฝ Pacific | 1% | n=2,557 | ||
๐ Languages spoken | ||||
| Language | % | |||
| ๐ฌ๐ง Speaks English | 93% | |||
| ๐ช๐ธ Speaks Spanish | 28% | |||
| ๐ซ๐ท Speaks French | 18% | |||
| ๐ฉ๐ช Speaks German | 14% | |||
| ๐ท๐บ Speaks Russian | 10% | |||
| ๐ต๐น Speaks Portuguese | 9% | |||
| ๐ณ๐ฑ Speaks Dutch | 4% | |||
| ๐ฆ๐ช Speaks Arabic | 3% | |||
| ๐จ๐ณ Speaks Mandarin | 3% | |||
| ๐ฎ๐ฉ Speaks Indonesian | 1% | n=240 | ||
โค๏ธ Nomads by relationship | ||||
| Relationship | % | |||
| ๐ Single | 65% | |||
| ๐ In a relationship | 35% | n=2,997 | ||
๐ Nomads looking for | ||||
| Looking for | % | |||
| ๐ค Friends | 35% | |||
| ๐ Travel buddies | 32% | |||
| ๐น Casual dating | 16% | |||
| โค๏ธ Relationship | 13% | |||
| ๐ Poly dating | 5% | n=21,794 | ||
๐ฐ Nomads by income | ||||
| Income | % | |||
| < $25k / y | 4% | |||
| $25k - $50k / y | 22% | |||
| $50k - $100k / y | 34% | |||
| $100k - $250k / y | 34% | |||
| > $250k / y | 7% | |||
| Average | $113,457 / y | |||
| Median | $80,000 / y | n=188 | ||
โ๏ธ Nomads by politics | ||||
| Politics | % | |||
| ๐ณ๏ธโ๐ Progressive | 57% | |||
| โ๏ธ Non-progressive | 43% | |||
| ↱๐ฝ Libertarian | 21% | |||
| ↱โ๏ธ Centrist | 18% | |||
| ↱๐ด Conservative | 5% | n=2,341 | ||
โ๏ธ Nomad men by politics | ||||
| Politics | % | |||
| ๐ณ๏ธโ๐ Progressive | 53% | |||
| โ๏ธ Non-progressive | 47% | |||
| ↱๐ฝ Libertarian | 23% | |||
| ↱โ๏ธ Centrist | 19% | |||
| ↱๐ด Conservative | 5% | n=1,880 | ||
โ๏ธ Nomad women by politics | ||||
| Politics | % | |||
| ๐ณ๏ธโ๐ Progressive | 72% | |||
| โ๏ธ Non-progressive | 28% | |||
| ↱โ๏ธ Centrist | 13% | |||
| ↱๐ฝ Libertarian | 12% | |||
| ↱๐ด Conservative | 3% | n=431 | ||
๐ฅฉ74% of ๐จโ men eat meat
๐ซ47% ๐ฑโโ๏ธwomen don't eat meat
๐ฅ12% are vegetarian
๐ฅ13% are vegan
๐5% are pescetarian
๐ Nomads by diet | ||||
| Diet | % | |||
| ๐ฅฉ Eats meat | 70% | |||
| ๐ซ Does not eat meat | 30% | |||
| ↱๐ฅ Vegan | 13% | |||
| ↱๐ฅ Vegetarian | 12% | |||
| ↱๐ Pescetarian | 5% | n=3,414 | ||
๐ Nomad men by diet | ||||
| Diet | % | |||
| ๐ฅฉ Eats meat | 74% | |||
| ๐ซ Does not eat meat | 26% | |||
| ↱๐ฅ Vegan | 12% | |||
| ↱๐ฅ Vegetarian | 10% | |||
| ↱๐ Pescetarian | 4% | n=2,769 | ||
๐ Nomad women by diet | ||||
| Diet | % | |||
| ๐ฅฉ Eats meat | 53% | |||
| ๐ซ Does not eat meat | 47% | |||
| ↱๐ฅ Vegetarian | 18% | |||
| ↱๐ฅ Vegan | 18% | |||
| ↱๐ Pescetarian | 11% | n=586 | ||
๐ฅพHiking
๐ชFitness
๐Running
๐คธโโ๏ธYoga
๐ดCycling
๐Swimming
๐ Nomads by sports | ||||
| Sport | % | |||
| ๐ฅพ Hiking | 52% | |||
| ๐ช Fitness | 46% | |||
| ๐ Running | 30% | |||
| ๐คธโโ๏ธ Yoga | 29% | |||
| ๐ด Cycling | 27% | |||
| ๐ Swimming | 26% | |||
| ๐ Surfing | 19% | |||
| ๐ Diving | 18% | |||
| โฐ Climbing | 17% | |||
| โท Skiing | 16% | |||
| ๐ Snowboarding | 16% | |||
| ๐ Motorcycling | 14% | |||
| ๐พ Tennis | 13% | |||
| ๐ช Fight sports | 10% | |||
| ๐ช Crossfit | 8% | n=5,818 | ||
๐ Nomad men by sports | ||||
| Sport | % | |||
| ๐ฅพ Hiking | 52% | |||
| ๐ช Fitness | 48% | |||
| ๐ Running | 31% | |||
| ๐ด Cycling | 28% | |||
| ๐ Swimming | 26% | |||
| ๐คธโโ๏ธ Yoga | 24% | |||
| ๐ Surfing | 20% | |||
| ๐ Diving | 18% | |||
| โฐ Climbing | 18% | |||
| ๐ Snowboarding | 17% | |||
| โท Skiing | 17% | |||
| ๐ Motorcycling | 16% | |||
| ๐พ Tennis | 14% | |||
| ๐ช Fight sports | 11% | |||
| ๐ช Crossfit | 9% | n=4,653 | ||
๐ Nomad women by sports | ||||
| Sport | % | |||
| ๐ฅพ Hiking | 55% | |||
| ๐คธโโ๏ธ Yoga | 51% | |||
| ๐ช Fitness | 42% | |||
| ๐ Swimming | 27% | |||
| ๐ Running | 25% | |||
| ๐ด Cycling | 21% | |||
| ๐ Diving | 18% | |||
| ๐ Surfing | 16% | |||
| โฐ Climbing | 14% | |||
| โท Skiing | 12% | |||
| ๐ Snowboarding | 11% | |||
| ๐พ Tennis | 9% | |||
| ๐ Motorcycling | 7% | |||
| ๐ช Crossfit | 6% | |||
| ๐ช Fight sports | 5% | n=1,033 | ||
๐ฏ๐ต Tokyo
๐น๐ผ Taipei
๐ฒ๐ฝ Mexico City
๐ฟ๐ฆ Cape Town
๐ญ๐ท Zagreb
๐ท๐บ Saint Petersburg
๐ Most liked cities | ||||
| # | City | Rating | ||
| 1 | ๐ฏ๐ต Tokyo | 4.85 | ||
| 2 | ๐น๐ผ Taipei | 4.8 | ||
| 3 | ๐ฒ๐ฝ Mexico City | 4.75 | ||
| 4 | ๐ฟ๐ฆ Cape Town | 4.7 | ||
| 5 | ๐ญ๐ท Zagreb | 4.65 | ||
| 6 | ๐ท๐บ Saint Petersburg | 4.65 | ||
| 7 | ๐ช๐ธ Seville | 4.65 | ||
| 8 | ๐บ๐ธ Chicago | 4.65 | ||
| 9 | ๐ช๐ธ Tenerife | 4.65 | ||
| 10 | ๐ช๐ธ Madrid | 4.65 | n=5,513 | |
๐ Most liked cities by men | ||||
| # | City | Rating | ||
| 1 | ๐ฏ๐ต Tokyo | 4.8 | ||
| 2 | ๐ฒ๐ฝ Mexico City | 4.75 | ||
| 3 | ๐น๐ญ Chiang Mai | 4.75 | ||
| 4 | ๐ฆ๐ท Buenos Aires | 4.7 | ||
| 5 | ๐จ๐ด Medellรญn | 4.7 | ||
| 6 | ๐น๐ผ Taipei | 4.65 | ||
| 7 | ๐ป๐ณ Da Nang | 4.65 | ||
| 8 | ๐บ๐ธ Austin | 4.65 | ||
| 9 | ๐ฆ๐น Vienna | 4.6 | ||
| 10 | ๐ญ๐ท Split | 4.6 | n=5,513 | |
๐ Most liked cities by women | ||||
| # | City | Rating | ||
| 1 | ๐ต๐น Lisbon | 4.6 | ||
| 2 | ๐ฌ๐ง London | 4.5 | ||
| 3 | ๐น๐ญ Chiang Mai | 4.3 | ||
| 4 | ๐ฎ๐ฉ Canggu | 4.3 | ||
| 5 | ๐ญ๐บ Budapest | 4.3 | ||
| 6 | ๐ง๐ฌ Sofia | 4.3 | ||
| 7 | ๐บ๐ธ San Francisco | 4.15 | ||
| 8 | ๐ฒ๐ฝ Oaxaca | 4.15 | ||
| 9 | ๐ฌ๐ง Edinburgh | 4 | ||
| 10 | ๐ฆ๐ฑ Tirana | 4 | n=5,513 | |
๐จ Where men go vs. women | ||||
| # | Like | vs. ๐ฑโโ๏ธ | ||
| 1 | ๐ต๐ฑ Gdansk | +1,720% | ||
| 2 | ๐บ๐ฆ Kyiv | +1,639% | ||
| 3 | ๐จ๐ฟ Brno | +1,200% | ||
| 4 | ๐ฉ๐ช Hamburg | +1,196% | ||
| 5 | ๐ธ๐ฐ Bratislava | +1,031% | ||
| 6 | ๐ต๐ฑ Warsaw | +983% | ||
| 7 | ๐ฑ๐น Vilnius | +973% | ||
| 8 | ๐ท๐บ Saint Petersburg | +902% | ||
| 9 | ๐บ๐ฆ Lviv | +888% | ||
| 10 | ๐น๐ญ Ko Samui | +864% | ||
| 11 | ๐ฟ๐ฆ Johannesburg | +800% | ||
| 12 | ๐ธ๐ฎ Ljubljana | +655% | ||
| 13 | ๐ญ๐ฐ Hong Kong | +652% | ||
| 14 | ๐ต๐ฑ Krakรณw | +652% | ||
| 15 | ๐บ๐ธ Minneapolis | +647% | median temp=15°C; n=149,087 | |
๐ Most liked countries | ||||
| # | Country | Rating | ||
| 1 | ๐ฏ๐ต Japan | 4.9 | ||
| 2 | ๐ญ๐ท Croatia | 4.85 | ||
| 3 | ๐ท๐ธ Serbia | 4.8 | ||
| 4 | ๐ฆ๐บ Australia | 4.8 | ||
| 5 | ๐ท๐บ Russia | 4.8 | ||
| 6 | ๐บ๐ธ United States | 4.75 | ||
| 7 | ๐ฌ๐ช Georgia | 4.75 | ||
| 8 | ๐ง๐ท Brazil | 4.75 | ||
| 9 | ๐ฎ๐ณ India | 4.75 | ||
| 10 | ๐ฆ๐น Austria | 4.7 | n=2,805 | |
๐ฐ How long do they stay in one place? | ||||
| Duration | % | |||
| < 7 days | 48% | |||
| 7 - 30 days | 32% | |||
| 30 - 90 days | 14% | |||
| 90+ days | 7% | |||
| Average | 69 days | n=144,581 | ||
๐ Most visited countries | ||||
| # | Country | % | ||
| 1 | ๐บ๐ธUnited States | 16% | ||
| 2 | ๐น๐ญThailand | 5% | ||
| 3 | ๐ช๐ธSpain | 5% | ||
| 4 | ๐ฌ๐งUnited Kingdom | 5% | ||
| 5 | ๐ฉ๐ชGermany | 4% | ||
| 6 | ๐ซ๐ทFrance | 4% | ||
| 7 | ๐ฒ๐ฝMexico | 3% | ||
| 8 | ๐ฎ๐นItaly | 3% | ||
| 9 | ๐ฎ๐ฉIndonesia | 2% | ||
| 10 | ๐ณ๐ฑNetherlands | 2% | ||
| 11 | ๐จ๐ฆCanada | 2% | ||
| 12 | ๐ต๐นPortugal | 2% | ||
| 13 | ๐ท๐บRussia | 2% | ||
| 14 | ๐ฏ๐ตJapan | 2% | ||
| 15 | ๐ป๐ณVietnam | 2% | ||
| 16 | ๐ง๐ทBrazil | 2% | ||
| 17 | ๐ฆ๐บAustralia | 2% | ||
| 18 | ๐ฒ๐พMalaysia | 1% | ||
| 19 | ๐จ๐ณChina | 1% | ||
| 20 | ๐ฎ๐ณIndia | 1% | ||
| 21 | ๐ต๐ฑPoland | 1% | ||
| 22 | ๐ฌ๐ทGreece | 1% | ||
| 23 | ๐จ๐ดColombia | 1% | ||
| 24 | ๐ธ๐ฌSingapore | 1% | ||
| 25 | ๐ญ๐ทCroatia | 1% | ||
| 26 | ๐จ๐ญSwitzerland | 1% | ||
| 27 | ๐ฆ๐นAustria | 1% | ||
| 28 | ๐ญ๐บHungary | 1% | ||
| 29 | ๐น๐ทTurkey | 1% | ||
| 30 | ๐จ๐ฟCzechia | 1% | n=149,087 | |
๐ Most visited cities | ||||
| # | City | % | ||
| 1 | ๐ฌ๐ง London | 3% | ||
| 2 | ๐น๐ญ Bangkok | 2% | ||
| 3 | ๐บ๐ธ New York City | 2% | ||
| 4 | ๐ฉ๐ช Berlin | 2% | ||
| 5 | ๐ซ๐ท Paris | 2% | ||
| 6 | ๐ณ๐ฑ Amsterdam | 1% | ||
| 7 | ๐บ๐ธ San Francisco | 1% | ||
| 8 | ๐ช๐ธ Barcelona | 1% | ||
| 9 | ๐น๐ญ Chiang Mai | 1% | ||
| 10 | ๐ต๐น Lisbon | 1% | ||
| 11 | ๐ธ๐ฌ Singapore | 1% | ||
| 12 | ๐บ๐ธ Los Angeles | 1% | ||
| 13 | ๐ฎ๐ฉ Canggu | 1% | ||
| 14 | ๐ญ๐บ Budapest | 1% | ||
| 15 | ๐ฏ๐ต Tokyo | 1% | ||
| 16 | ๐ฒ๐พ Kuala Lumpur | 1% | ||
| 17 | ๐ฒ๐ฝ Mexico City | 1% | ||
| 18 | ๐ท๐บ Moscow | 1% | ||
| 19 | ๐จ๐ฟ Prague | 1% | ||
| 20 | ๐ช๐ธ Madrid | 1% | ||
| 21 | ๐ฎ๐ฉ Ubud | 1% | ||
| 22 | ๐ป๐ณ Ho Chi Minh City | 1% | ||
| 23 | ๐ฆ๐น Vienna | 1% | ||
| 24 | ๐ญ๐ฐ Hong Kong | 1% | ||
| 25 | ๐น๐ท Istanbul | 1% | ||
| 26 | ๐บ๐ธ Seattle | 1% | ||
| 27 | ๐ฎ๐น Rome | 1% | ||
| 28 | ๐บ๐ธ Chicago | 1% | ||
| 29 | ๐ธ๐ช Stockholm | 1% | ||
| 30 | ๐จ๐ฆ Vancouver | 1% | n=149,087 | |
๐ปSoftware Dev
๐Startup Founder
๐ธWeb Dev
๐Marketing
๐ฉโ๐จCreative
๐จUI/UX Design
๐ช Nomads work as | ||||
| # | Work | % | ||
| 1 | ๐ป Software Dev | 27% | ||
| 2 | ๐ Startup Founder | 26% | ||
| 3 | ๐ธ Web Dev | 25% | ||
| 4 | ๐ Marketing | 15% | ||
| 5 | ๐ฉโ๐จ Creative | 14% | ||
| 6 | ๐จ UI/UX Design | 12% | ||
| 7 | ๐ค Product Manager | 10% | ||
| 8 | ๐ SaaS | 10% | ||
| 9 | ๐ฑ Mobile Dev | 10% | ||
| 10 | ๐ Data | 10% | ||
| 11 | ๐ฐ Crypto | 8% | ||
| 12 | ๐ฐ Finance | 8% | ||
| 13 | ๐ Ecommerce | 8% | ||
| 14 | ๐ Blogging | 8% | ||
| 15 | ๐จโ๐ซ Education | 7% | n=11,638 | |
๐จ Nomad men work as | ||||
| # | Work | % | vs. ๐ฑโโ๏ธ | |
| 1 | ๐ป Software Dev | 31% | +243% | |
| 2 | ๐ Startup Founder | 29% | +115% | |
| 3 | ๐ธ Web Dev | 29% | +229% | |
| 4 | ๐ Marketing | 15% | -6% | |
| 5 | ๐ฉโ๐จ Creative | 13% | -22% | |
| 6 | ๐จ UI/UX Design | 13% | +32% | |
| 7 | ๐ SaaS | 12% | +179% | |
| 8 | ๐ฑ Mobile Dev | 12% | +272% | |
| 9 | ๐ค Product Manager | 12% | +91% | |
| 10 | ๐ Data | 10% | +76% | |
| 11 | ๐ฐ Crypto | 10% | +255% | |
| 12 | ๐ฐ Finance | 9% | +113% | |
| 13 | ๐ Ecommerce | 9% | +57% | |
| 14 | ๐ Blogging | 7% | -32% | |
| 15 | ๐จโ๐ซ Education | 7% | -23% | n=9,266 |
๐ฑโโ๏ธ Nomad women work as | ||||
| # | Work | % | vs. ๐จโ | |
| 1 | ๐ฉโ๐จ Creative | 17% | +28% | |
| 2 | ๐ Marketing | 16% | +6% | |
| 3 | ๐ Startup Founder | 14% | -53% | |
| 4 | ๐ Blogging | 11% | +47% | |
| 5 | ๐จ UI/UX Design | 10% | -24% | |
| 6 | ๐ป Software Dev | 9% | -71% | |
| 7 | ๐ธ Web Dev | 9% | -70% | |
| 8 | ๐จโ๐ซ Education | 9% | +30% | |
| 9 | ๐ค Community | 9% | +37% | |
| 10 | ๐ Coach | 6% | +17% | |
| 11 | ๐ค Product Manager | 6% | -48% | |
| 12 | ๐ Data | 6% | -43% | |
| 13 | ๐ Ecommerce | 6% | -36% | |
| 14 | ๐ฐ Finance | 4% | -53% | |
| 15 | ๐ SaaS | 4% | -64% | n=2,358 |
๐จ Nomad men vs. women | ||||
| # | Like | vs. ๐ฑโโ๏ธ | ||
| 1 | ๐พ Game Dev | +380% | ||
| 2 | ๐ Dev Ops | +341% | ||
| 3 | ๐ฑ Mobile Dev | +272% | ||
| 4 | ๐ฐ Crypto | +255% | ||
| 5 | ๐ป Software Dev | +243% | ||
| 6 | ๐ธ Web Dev | +229% | ||
| 7 | ๐ก Sysadmin | +208% | ||
| 8 | ๐ SaaS | +179% | ||
| 9 | ๐ Startup Founder | +115% | ||
| 10 | ๐ Sports | +114% | ||
| 11 | ๐ฐ Finance | +113% | ||
| 12 | ๐บ Geo | +109% | ||
| 13 | ๐ VR Dev | +95% | ||
| 14 | ๐ค Product Manager | +91% | ||
| 15 | ๐ Data | +76% | n=11,638 | |
๐ฑโโ๏ธ Nomad women vs. men | ||||
| # | Like | vs. ๐จ | ||
| 1 | ๐จโโ๏ธ Medical | +79% | ||
| 2 | ๐ฐ Journalism | +73% | ||
| 3 | ๐ Hospitality | +52% | ||
| 4 | ๐ Blogging | +47% | ||
| 5 | ๐ Support | +38% | ||
| 6 | ๐ Recruitment | +37% | ||
| 7 | ๐ค Community | +37% | ||
| 8 | ๐จโ๐ซ Education | +30% | ||
| 9 | ๐ฉโ๐จ Creative | +28% | ||
| 10 | ๐ฉโ๐ผ Law | +25% | ||
| 11 | ๐ Coach | +17% | ||
| 12 | ๐ธ Model | +11% | ||
| 13 | ๐ Marketing | +6% | n=11,638 | |
โ๏ธCoffee
โฐOutdoors
๐Reading
๐ฅพHiking
๐Optimist
๐ถDogs
๐ Nomads | ||||
| # | Like | % | ||
| 1 | โ๏ธ Coffee | 35% | ||
| 2 | โฐ Outdoors | 27% | ||
| 3 | ๐ Reading | 26% | ||
| 4 | ๐ฅพ Hiking | 26% | ||
| 5 | ๐ Optimist | 25% | ||
| 6 | ๐ถ Dogs | 25% | ||
| 7 | โ๏ธ Waking up early | 24% | ||
| 8 | ๐ Staying up late | 24% | ||
| 9 | ๐ท Wine | 23% | ||
| 10 | ๐บ Beer | 23% | ||
| 11 | ๐ช Fitness | 23% | ||
| 12 | ๐ Right handed | 22% | ||
| 13 | ๐ต Tea | 22% | ||
| 14 | ๐ Movies | 21% | ||
| 15 | ๐ฃ Japanese food | 21% | n=11,638 | |
๐จโ Nomad men | ||||
| # | Like | % | vs. ๐ฑโโ๏ธ | |
| 1 | โ๏ธ Coffee | 37% | +22% | |
| 2 | โฐ Outdoors | 27% | +4% | |
| 3 | ๐ Optimist | 27% | +25% | |
| 4 | ๐ฅพ Hiking | 26% | +8% | |
| 5 | ๐ Reading | 26% | +2% | |
| 6 | ๐ Staying up late | 26% | +39% | |
| 7 | ๐บ Beer | 26% | +106% | |
| 8 | โ๏ธ Waking up early | 25% | +17% | |
| 9 | ๐ถ Dogs | 25% | +1% | |
| 10 | ๐ Right handed | 24% | +51% | |
| 11 | ๐ช Fitness | 24% | +30% | |
| 12 | ๐ท Wine | 23% | -7% | |
| 13 | ๐ฅฉ Eating meat | 22% | +69% | |
| 14 | ๐ Movies | 22% | +20% | |
| 15 | ๐ฃ Japanese food | 21% | +19% | n=9,266 |
๐ฑโโ๏ธ Nomad women | ||||
| # | Like | % | vs. ๐จโ | |
| 1 | โ๏ธ Coffee | 30% | -18% | |
| 2 | โฐ Outdoors | 26% | -4% | |
| 3 | ๐ Reading | 26% | -2% | |
| 4 | ๐ท Wine | 25% | +7% | |
| 5 | ๐ถ Dogs | 25% | -1% | |
| 6 | ๐ฅพ Hiking | 24% | -7% | |
| 7 | ๐ต Tea | 23% | +7% | |
| 8 | ๐คธโโ๏ธ Yoga | 23% | +87% | |
| 9 | โฑ Beach | 22% | +10% | |
| 10 | โ๏ธ Waking up early | 21% | -15% | |
| 11 | ๐ Optimist | 21% | -20% | |
| 12 | โ๏ธ Writing | 19% | +54% | |
| 13 | ๐ธ Cocktails | 19% | +3% | |
| 14 | ๐ Staying up late | 19% | -28% | |
| 15 | ๐ช Fitness | 18% | -23% | n=2,358 |
๐จ Nomad men vs. women | ||||
| # | Like | vs. ๐ฑโโ๏ธ | ||
| 1 | โฝ๏ธ Football | +294% | ||
| 2 | ๐ Skateboarding | +159% | ||
| 3 | ๐พ Gaming | +155% | ||
| 4 | โณ๏ธ Golf | +154% | ||
| 5 | ๐ Race sports | +154% | ||
| 6 | โ๐ฝ Indian | +153% | ||
| 7 | ๐ Motorcycling | +152% | ||
| 8 | ๐ช Fight sports | +148% | ||
| 9 | ๐ฝ Libertarian politics | +119% | ||
| 10 | ๐ด Conservative politics | +114% | ||
| 11 | ๐ง Pessimist | +109% | ||
| 12 | ๐บ Beer | +106% | ||
| 13 | ๐ธ Rock music | +97% | ||
| 14 | ๐ฌ Daily smoker | +88% | ||
| 15 | ๐น Electronic music | +87% | n=11,638 | |
๐ฑโโ๏ธ Nomad women vs. men | ||||
| # | Like | vs. ๐จ | ||
| 1 | โจ Astrology | +246% | ||
| 2 | ๐ช Feminism | +235% | ||
| 3 | โ๐ฟ Black | +131% | ||
| 4 | ๐ Unhappy childhood | +125% | ||
| 5 | ๐ Dancing | +109% | ||
| 6 | ๐ Dress up | +96% | ||
| 7 | ๐ Shopping | +91% | ||
| 8 | ๐จ Drawing | +88% | ||
| 9 | ๐คธโโ๏ธ Yoga | +87% | ||
| 10 | ๐ป Gardening | +76% | ||
| 11 | ๐บ Breakdance | +69% | ||
| 12 | ๐ณ๏ธโ๐ LGBT | +64% | ||
| 13 | ๐ Third Culture Kid | +63% | ||
| 14 | ๐ Pescetarian | +59% | ||
| 15 | ๐ค Singing | +59% | n=11,638 | |
๐ Nomads by vaccination | ||||
| Vaccinated | % | |||
| ๐ COVID vaccinated | 96% | |||
| ๐ Not COVID vaccinated | 4% | n=379 | ||
โค๏ธ Nomads by family | ||||
| Relationship | % | |||
| โค๏ธ Close to parents | 77% | |||
| ๐ Not close to parents | 23% | n=74 | ||
๐ถ Nomads by childhood | ||||
| Childhood | % | |||
| ๐ Happy childhood | 86% | |||
| ๐ Unhappy childhood | 14% | n=79 | ||
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).
๐ฌ๐งSpeaks English
๐COVID vaccinated
๐ช๐ธSpeaks Spanish
๐ฌTwitter
๐In a relationship
๐งผClean freak
๐ฅ Attractive traits | ||||
| # | Like | Diff | ||
| 1 | ๐ฌ๐ง Speaks English | +257% | ||
| 2 | ๐ COVID vaccinated | +215% | ||
| 3 | ๐ช๐ธ Speaks Spanish | +211% | ||
| 4 | ๐ฌ Twitter | +179% | ||
| 5 | ๐ In a relationship | +170% | ||
| 6 | ๐งผ Clean freak | +166% | ||
| 7 | โจ Astrology | +122% | ||
| 8 | ๐ Running | +104% | ||
| 9 | ๐ด Cycling | +101% | ||
| 10 | ๐ Surfing | +94% | ||
| 11 | ๐ป Gardening | +90% | ||
| 12 | ๐ฌ Whatsapp | +87% | ||
| 13 | ๐ถ Wants kids | +87% | ||
| 14 | โฐ Climbing | +86% | ||
| 15 | ๐ Pescetarian | +85% | n=11,638 | |
๐จโ Attractive men traits | ||||
| # | Like | Diff | ||
| 1 | ๐ช๐ธ Speaks Spanish | +422% | ||
| 2 | ๐ฌ Twitter | +357% | ||
| 3 | ๐๏ธโ Weightlifting | +266% | ||
| 4 | ๐ COVID vaccinated | +213% | ||
| 5 | ๐ป Gardening | +180% | ||
| 6 | ๐ฌ Whatsapp | +174% | ||
| 7 | ๐ธ Rock music | +158% | ||
| 8 | ๐ง Open-minded | +140% | ||
| 9 | ๐ In a relationship | +138% | ||
| 10 | ๐ฌ๐ง Speaks English | +115% | ||
| 11 | ๐พ Tennis | +90% | ||
| 12 | ๐ Skateboarding | +86% | ||
| 13 | โณ๏ธ Golf | +79% | ||
| 14 | โฐ Climbing | +76% | ||
| 15 | โจ Astrology | +72% | n=11,638 | |
๐ฑโโ๏ธ Attractive women traits | ||||
| # | Like | Diff | ||
| 1 | ๐ฌ๐ง Speaks English | +400% | ||
| 2 | ๐งผ Clean freak | +267% | ||
| 3 | ๐ COVID vaccinated | +217% | ||
| 4 | ๐ In a relationship | +203% | ||
| 5 | โจ Astrology | +172% | ||
| 6 | ๐ Running | +162% | ||
| 7 | ๐ด Cycling | +159% | ||
| 8 | ๐ค Singing | +139% | ||
| 9 | ๐พ Gaming | +133% | ||
| 10 | ๐ Vanlife | +129% | ||
| 11 | ๐พ Drinking alcohol | +127% | ||
| 12 | ๐ Pescetarian | +120% | ||
| 13 | ๐ Surfing | +118% | ||
| 14 | ๐ถ Wants kids | +114% | ||
| 15 | ๐ Diving | +112% | n=11,638 | |
๐ฌDaily smoker
๐บBreakdance
๐ทBlues music
๐ดConservative politics
๐ต๐นSpeaks Portuguese
๐งDubstep music
๐จโ Unattractive traits | ||||
| # | Like | Diff | ||
| 1 | ๐ฌ Daily smoker | -1,926% | ||
| 2 | ๐บ Breakdance | -1,263% | ||
| 3 | ๐ท Blues music | -734% | ||
| 4 | ๐ด Conservative politics | -337% | ||
| 5 | ๐ต๐น Speaks Portuguese | -278% | ||
| 6 | ๐ง Dubstep music | -242% | ||
| 7 | ๐ง Have a beard | -187% | ||
| 8 | ๐ Volleyball | -151% | ||
| 9 | ๐จ No beard | -96% | ||
| 10 | ๐ฌ WeChat | -78% | ||
| 11 | ๐งโ Short hair | -78% | ||
| 12 | ๐ Third Culture Kid | -34% | ||
| 13 | ๐ Religious | -22% | ||
| 14 | ๐ Paleo | -16% | ||
| 15 | ๐ Shopping | -9% | n=11,638 | |
๐จโ Unattractive men traits | ||||
| # | Like | Diff | ||
| 1 | ๐ฌ Daily smoker | -3,401% | ||
| 2 | ๐บ Breakdance | -2,526% | ||
| 3 | ๐ท Blues music | -1,468% | ||
| 4 | ๐ต๐น Speaks Portuguese | -556% | ||
| 5 | ๐ง Dubstep music | -483% | ||
| 6 | ๐ง Have a beard | -374% | ||
| 7 | ๐ Volleyball | -301% | ||
| 8 | ๐ด Conservative politics | -265% | ||
| 9 | ๐จ No beard | -192% | ||
| 10 | ๐งโ Short hair | -155% | ||
| 11 | ๐ฌ WeChat | -155% | ||
| 12 | ๐ Religious | -44% | ||
| 13 | ๐ Third Culture Kid | -37% | ||
| 14 | ๐ Paleo | -20% | ||
| 15 | ๐ Shopping | -19% | n=11,638 | |
๐ฑโโ๏ธ Unattractive women traits | ||||
| # | Like | Diff | ||
| 1 | โ๏ธ Private pilot | -494% | ||
| 2 | ๐ฌ Daily smoker | -452% | ||
| 3 | ๐ด Conservative politics | -409% | ||
| 4 | ๐ซ๐ท Speaks French | -282% | ||
| 5 | ๐ง House music | -240% | ||
| 6 | ๐ Snowboarding | -136% | ||
| 7 | ๐ช Fight sports | -125% | ||
| 8 | ๐ถ Parent | -36% | ||
| 9 | ๐ Third Culture Kid | -32% | ||
| 10 | ๐ฅ Messy | -32% | ||
| 11 | ๐ช Crossfit | -29% | ||
| 12 | ๐ Skateboarding | -27% | ||
| 13 | ๐ฅ Vegetarian | -27% | ||
| 14 | โ๏ธ Centrist politics | -17% | ||
| 15 | ๐ Paleo | -12% | n=11,638 | |
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