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๐ถ 37-year old
๐ณ๏ธโ๐ Progressive
๐ซ Not religious
๐ Single
โ๐ป White
๐ Heterosexual
๐จ โ Man
๐
with a
Bachelor's
๐ป
works as a
Software Dev
๐ก
from
a Home office
๐ฐ
makes
$85,000 / y
โ๏ธ
loves
Coffee
๐ฅฉ eats meat
๐ฅพ
works out by
Hiking
๐ฏ๐ต
loves
Tokyo most
๐
is vaccinated
๐
produces 72% less COโ
4๏ธโฃ
and stays for
4 months
๐ถ Nomads by age |
||||
| Age | % | |||
| 18 |
0.1%
|
|||
| 21 |
0.1%
|
|||
| 22 |
0.3%
|
|||
| 23 |
0.2%
|
|||
| 24 |
1%
|
|||
| 25 |
1%
|
|||
| 26 |
1%
|
|||
| 27 |
2%
|
|||
| 28 |
2%
|
|||
| 29 |
2%
|
|||
| 30 |
2%
|
|||
| 31 |
3%
|
|||
| 32 |
6%
|
|||
| 33 |
7%
|
|||
| 34 |
7%
|
|||
| 35 |
5%
|
|||
| 36 |
5%
|
|||
| 37 |
8%
|
|||
| 38 |
6%
|
|||
| 39 |
5%
|
|||
| 40 |
5%
|
|||
| 41 |
4%
|
|||
| 42 |
4%
|
|||
| 43 |
3%
|
|||
| 44 |
3%
|
active last 365d, n=983 | ||
โณ๏ธ Nomads by nationality |
||||
| # | Country | People | % | |
| 1 | ๐บ๐ธ United States | 55,252,496 | 42% | |
| 2 | ๐ฌ๐ง United Kingdom | 8,981,139 | 7% | |
| 3 | ๐จ๐ฆ Canada | 5,993,748 | 5% | |
| 4 | ๐ท๐บ Russia | 5,789,847 | 4% | |
| 5 | ๐ฉ๐ช Germany | 5,448,431 | 4% | |
| 6 | ๐ซ๐ท France | 4,547,472 | 3% | |
| 7 | ๐ง๐ท Brazil | 3,475,805 | 3% | |
| 8 | ๐ฆ๐บ Australia | 3,068,002 | 2% | |
| 9 | ๐ณ๐ฑ Netherlands | 2,413,622 | 2% | |
| 10 | ๐ช๐ธ Spain | 2,375,687 | 2% | |
| 11 | ๐ฎ๐ณ India | 2,214,462 | 2% | |
| 12 | ๐ฎ๐น Italy | 1,892,014 | 1% | |
| 13 | ๐บ๐ฆ Ukraine | 1,887,272 | 1% | |
| 14 | ๐ต๐ฑ Poland | 1,574,307 | 1% | |
| 15 | ๐จ๐ญ Switzerland | 1,332,471 | 1% | |
| 16 | ๐ฆ๐น Austria | 995,797 | 1% | |
| 17 | ๐น๐ท Turkey | 972,087 | 1% | |
| 18 | ๐ฏ๐ต Japan | 943,636 | 1% | |
| 19 | ๐ธ๐ช Sweden | 924,668 | 1% | |
| 20 | ๐ฎ๐ช Ireland | 900,959 | 1% | |
| 21 | ๐ฎ๐ฑ Israel | 810,863 | 1% | |
| 22 | ๐ง๐ช Belgium | 787,154 | 1% | |
| 23 | ๐ฐ๐ท South Korea | 758,702 | 1% | |
| 24 | ๐จ๐ฟ Czechia | 744,477 | 1% | |
| 25 | ๐ฆ๐ท Argentina | 706,542 | 1% | |
| 26 | ๐ฟ๐ฆ South Africa | 697,058 | 1% | |
| 27 | ๐ต๐น Portugal | 692,316 | 1% | |
| 28 | ๐ฒ๐ฝ Mexico | 692,316 | 1% | |
| 29 | ๐ท๐ด Romania | 654,381 | 1% | |
| 30 | ๐จ๐ณ China | 616,446 | 0% | n=27,483 |
๐ถ Nomads by gender |
||||
| Gender | % | |||
| ๐จโ Men |
66%
|
|||
| ๐ฑโโ๏ธ Women |
34%
|
|||
| ๐ง Other |
0%
|
active last 365d, n=11,162 | ||
๐ Nomads by sexuality |
||||
| Sexuality | % | |||
| ๐ Heterosexual |
87%
|
|||
| ๐ฆ Bisexual |
8%
|
|||
| ๐ณ๏ธโ๐ Gay or lesbian |
5%
|
n=17,058 | ||
๐ Nomads by beliefs |
||||
| Religion | % | |||
| ๐ซ Not religious |
51%
|
|||
| ๐ Spirituality |
28%
|
|||
| โช๏ธ Christianity |
10%
|
|||
| ๐ Buddhism |
3%
|
|||
| ๐ Islam |
2%
|
|||
| โจ Astrology |
2%
|
|||
| ๐ Judaism |
2%
|
|||
| ๐ Hinduism |
1%
|
|||
| ๐ณ Sikhism |
0%
|
n=8,976 | ||
โ Nomads by ethnicity |
||||
| Ethnicity | % | |||
| โ๐ป White |
59%
|
|||
| โ๐พ Non-white |
41%
|
|||
| ↱โ๐ผ Asian |
14%
|
|||
| ↱โ๐ฝ Latin |
12%
|
|||
| ↱โ๐ฟ Black |
7%
|
|||
| ↱โ๐ฝ Indian |
5%
|
|||
| ↱โ๐พ Middle Eastern |
3%
|
|||
| ↱โ๐ฝ Pacific |
1%
|
n=8,145 | ||
๐ Education |
||||
| Education | % | |||
| ๐ High School |
9%
|
|||
| ๐ Higher education |
91%
|
|||
| ↱๐ Bachelor's |
53%
|
|||
| ↱๐ Master's |
34%
|
|||
| ↱๐ฉโ๐ซ PhD |
3%
|
n=18,699 | ||
โค๏ธ Nomads by relationship |
||||
| Relationship | % | |||
| ๐ Single |
67%
|
|||
| ๐ In a relationship |
33%
|
n=10,538 | ||
๐ Nomads looking for |
||||
| Looking for | % | |||
| ๐ค Friends |
35%
|
|||
| ๐ Travel buddies |
32%
|
|||
| ๐น Casual dating |
15%
|
|||
| โค๏ธ Relationship |
13%
|
|||
| ๐ Poly dating |
4%
|
n=62,922 | ||
๐ฐ 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 | $124,503 / y | |||
| Median | $85,000 / y | n=5,612 | ||
๐ฐ Nomads by employment |
||||
| Employment type | % | |||
| Full time |
37%
|
|||
| Freelance |
19%
|
|||
| Startup founder |
18%
|
|||
| Full time contractor |
9%
|
|||
| Agency |
8%
|
|||
| Other |
6%
|
|||
| Part time |
2%
|
|||
| Part time contractor |
1%
|
n=7,147 | ||
๐ก Where do nomads work from |
||||
| Place | % | |||
| ๐ก Home office |
58%
|
|||
| ๐ฌ Coworking |
15%
|
|||
| โ๏ธ Cafe |
8%
|
|||
| ๐ข Office |
7%
|
|||
| ๐ Couch |
3%
|
|||
| ๐ฝ Dining table |
3%
|
|||
| ๐ Bed |
2%
|
|||
| ๐ช Balcony |
1%
|
|||
| ๐ Van |
1%
|
|||
| ๐ช Kitchen |
0%
|
|||
| ๐ชด Garden |
0%
|
|||
| ๐ฆ Pool |
0%
|
|||
| ๐ฅ Boat |
0%
|
|||
| ๐ Library |
0%
|
n=5,959 | ||
๐ฌ What messaging apps nomads use? |
||||
| Messaging app | % | |||
| Telegram |
50%
|
|||
|
44%
|
||||
| Snapchat |
3%
|
|||
|
2%
|
||||
|
0%
|
||||
| LINE |
0%
|
|||
| Slack |
0%
|
n=5,882 | ||
โ๏ธ Nomad men by politics |
||||
| Politics | % | |||
| ๐ณ๏ธโ๐ Progressive |
45%
|
|||
| โ๏ธ Non-progressive |
55%
|
|||
| ↱๐ฝ Libertarian |
27%
|
|||
| ↱โ๏ธ Centrist |
21%
|
|||
| ↱๐ด Conservative |
7%
|
n=3,698 | ||
โ๏ธ Nomad women by politics |
||||
| Politics | % | |||
| ๐ณ๏ธโ๐ Progressive |
71%
|
|||
| โ๏ธ Non-progressive |
29%
|
|||
| ↱๐ฝ Libertarian |
13%
|
|||
| ↱โ๏ธ Centrist |
13%
|
|||
| ↱๐ด Conservative |
3%
|
n=909 | ||
๐ฅฉ 77% of ๐จโ men eat meat
๐ฅฉ 58% of ๐ฑโโ๏ธwomen eat meat
๐ซ 38% of nomads don't eat meat
๐ฅ 11% are vegetarian
๐ฅ 11% are vegan
๐ 5% are pescetarian
๐ Nomad men by diet |
||||
| Diet | % | |||
| ๐ฅฉ Eats meat |
77%
|
|||
| ๐ซ Does not eat meat |
23%
|
|||
| ↱๐ฅ Vegan |
10%
|
|||
| ↱๐ฅ Vegetarian |
10%
|
|||
| ↱๐ Pescetarian |
4%
|
n=5,804 | ||
๐ Nomad women by diet |
||||
| Diet | % | |||
| ๐ฅฉ Eats meat |
58%
|
|||
| ๐ซ Does not eat meat |
42%
|
|||
| ↱๐ฅ Vegetarian |
18%
|
|||
| ↱๐ฅ Vegan |
14%
|
|||
| ↱๐ Pescetarian |
10%
|
n=1,319 | ||
๐ฅพ Hiking
๐ช Fitness
๐ Running
๐คธโโ๏ธ Yoga
๐ Swimming
๐ด Cycling
๐ Nomad men by sports |
||||
| Sport | % | |||
| ๐ช Fitness |
49%
|
|||
| ๐ฅพ Hiking |
47%
|
|||
| ๐ Running |
29%
|
|||
| ๐ด Cycling |
24%
|
|||
| ๐ Swimming |
23%
|
|||
| ๐คธโโ๏ธ Yoga |
20%
|
|||
| ๐ Surfing |
18%
|
|||
| ๐ Diving |
15%
|
|||
| โฐ Climbing |
15%
|
|||
| ๐ Snowboarding |
15%
|
|||
| โท Skiing |
15%
|
|||
| ๐พ Tennis |
14%
|
|||
| ๐ Motorcycling |
13%
|
|||
| ๐ช Fight sports |
11%
|
|||
| ๐ Table tennis |
9%
|
n=11,250 | ||
๐ Nomad women by sports |
||||
| Sport | % | |||
| ๐ฅพ Hiking |
50%
|
|||
| ๐คธโโ๏ธ Yoga |
43%
|
|||
| ๐ช Fitness |
40%
|
|||
| ๐ Swimming |
24%
|
|||
| ๐ Running |
21%
|
|||
| ๐ด Cycling |
17%
|
|||
| ๐ Diving |
15%
|
|||
| ๐ Surfing |
14%
|
|||
| โฐ Climbing |
13%
|
|||
| โท Skiing |
12%
|
|||
| ๐พ Tennis |
11%
|
|||
| ๐ Snowboarding |
9%
|
|||
| ๐ช Crossfit |
5%
|
|||
| ๐ Motorcycling |
5%
|
|||
| ๐ช Fight sports |
5%
|
n=2,798 | ||
๐ฏ๐ต Tokyo
๐ต๐น Ericeira
๐บ๐ธ Chicago
๐ต๐น Portimรฃo
๐ง๐ฌ Varna
๐ฎ๐ธ Reykjavik
๐ Most liked cities by men |
||||
| # | City | Rating | ||
| 1 | ๐ฒ๐พ Kuala Lumpur | 4.55 | ||
| 2 | ๐ฏ๐ต Tokyo | 4.44 | ||
| 3 | ๐ญ๐บ Budapest | 4.44 | ||
| 4 | ๐น๐ญ Chiang Mai | 4.29 | ||
| 5 | ๐จ๐ฟ Prague | 4.29 | ||
| 6 | ๐ฒ๐ฝ Mexico City | 4.29 | ||
| 7 | ๐ช๐ธ Madrid | 4.29 | ||
| 8 | ๐ต๐ฑ Krakรณw | 4.17 | ||
| 9 | ๐ธ๐ฌ Singapore | 4.17 | ||
| 10 | ๐ฏ๐ต Osaka | 4.17 | ||
| 11 | ๐ณ๐ฑ Amsterdam | 4.17 | ||
| 12 | ๐ฌ๐น Antigua | 4.17 | ||
| 13 | ๐ฌ๐ง London | 4.00 | ||
| 14 | ๐บ๐ธ New York City | 4.00 | ||
| 15 | ๐ฎ๐ฉ Ubud | 4.00 | n=6,801 | |
๐ Most liked cities by women |
||||
| # | City | Rating | ||
| 1 | ๐ฒ๐ฝ Mexico City | 3.33 | n=6,801 | |
๐ Most visited cities |
||||
| # | City | % visited | ||
| 1 | ๐น๐ญ Bangkok | 2.22% | ||
| 2 | ๐ฌ๐ง London | 2.19% | ||
| 3 | ๐ช๐ธ Barcelona | 1.48% | ||
| 4 | ๐บ๐ธ New York City | 1.47% | ||
| 5 | ๐ซ๐ท Paris | 1.46% | ||
| 6 | ๐ต๐น Lisbon | 1.44% | ||
| 7 | ๐ฉ๐ช Berlin | 1.43% | ||
| 8 | ๐ณ๐ฑ Amsterdam | 1.18% | ||
| 9 | ๐บ๐ธ San Francisco | 1.13% | ||
| 10 | ๐น๐ญ Chiang Mai | 1.07% | ||
| 11 | ๐ฒ๐ฝ Mexico City | 0.98% | ||
| 12 | ๐ฏ๐ต Tokyo | 0.92% | ||
| 13 | ๐ฎ๐ฉ Canggu | 0.92% | ||
| 14 | ๐ธ๐ฌ Singapore | 0.89% | ||
| 15 | ๐น๐ท Istanbul | 0.86% | ||
| 16 | ๐ช๐ธ Madrid | 0.82% | ||
| 17 | ๐ฒ๐พ Kuala Lumpur | 0.81% | ||
| 18 | ๐บ๐ธ Los Angeles | 0.8% | ||
| 19 | ๐ฆ๐ช Dubai | 0.79% | ||
| 20 | ๐ญ๐บ Budapest | 0.77% | ||
| 21 | ๐จ๐ฟ Prague | 0.7% | ||
| 22 | ๐ฆ๐ท Buenos Aires | 0.69% | ||
| 23 | ๐จ๐ด Medellรญn | 0.62% | ||
| 24 | ๐ฎ๐น Rome | 0.6% | ||
| 25 | ๐ท๐บ Moscow | 0.59% | ||
| 26 | ๐ฆ๐น Vienna | 0.57% | ||
| 27 | ๐ฐ๐ท Seoul | 0.56% | ||
| 28 | ๐ป๐ณ Ho Chi Minh City | 0.55% | ||
| 29 | ๐ญ๐ฐ Hong Kong | 0.54% | ||
| 30 | ๐น๐ญ Phuket | 0.53% | n=421,602 | |
๐ Most visited countries |
||||
| # | Country | % visited | ||
| 1 | ๐บ๐ธ United States | 13% | ||
| 2 | ๐น๐ญ Thailand | 5% | ||
| 3 | ๐ช๐ธ Spain | 5% | ||
| 4 | ๐ฉ๐ช Germany | 4% | ||
| 5 | ๐ฌ๐ง United Kingdom | 4% | ||
| 6 | ๐ฒ๐ฝ Mexico | 3% | ||
| 7 | ๐ซ๐ท France | 3% | ||
| 8 | ๐ฎ๐น Italy | 3% | ||
| 9 | ๐ต๐น Portugal | 3% | ||
| 10 | ๐ฎ๐ฉ Indonesia | 2% | ||
| 11 | ๐ง๐ท Brazil | 2% | ||
| 12 | ๐ฏ๐ต Japan | 2% | ||
| 13 | ๐จ๐ฆ Canada | 2% | ||
| 14 | ๐ณ๐ฑ Netherlands | 2% | ||
| 15 | ๐ป๐ณ Vietnam | 2% | ||
| 16 | ๐ท๐บ Russia | 2% | ||
| 17 | ๐น๐ท Turkey | 2% | ||
| 18 | ๐จ๐ด Colombia | 1% | ||
| 19 | ๐ต๐ฑ Poland | 1% | ||
| 20 | ๐ฒ๐พ Malaysia | 1% | ||
| 21 | ๐ฆ๐บ Australia | 1% | ||
| 22 | ๐ฎ๐ณ India | 1% | ||
| 23 | ๐ฌ๐ท Greece | 1% | ||
| 24 | ๐ฆ๐ท Argentina | 1% | ||
| 25 | ๐จ๐ญ Switzerland | 1% | ||
| 26 | ๐จ๐ณ China | 1% | ||
| 27 | ๐ฆ๐น Austria | 1% | ||
| 28 | ๐ฆ๐ช United Arab Emirates | 1% | ||
| 29 | ๐ธ๐ฌ Singapore | 1% | ||
| 30 | ๐ญ๐ท Croatia | 1% | n=421,602 | |
๐ Avg. COโ by member traveling |
||||
| Year | COโ | |||
| 2013 |
677 kg/y
|
|||
| 2014 |
985 kg/y
|
|||
| 2015 |
1,076 kg/y
|
|||
| 2016 |
1,287 kg/y
|
|||
| 2017 |
1,466 kg/y
|
|||
| 2018 |
1,544 kg/y
|
|||
| 2019 |
1,582 kg/y
|
|||
| 2020 |
997 kg/y
|
|||
| 2021 |
1,003 kg/y
|
|||
| 2022 |
1,571 kg/y
|
|||
| 2023 |
1,736 kg/y
|
|||
| 2024 |
1,699 kg/y
|
|||
| 2025 |
1,603 kg/y
|
|||
| 2026 |
1,971 kg/y
|
|||
| Average | 1,308 kg/y | |||
| Median | 1,376 kg/y |
Based on 421,602 trips by 16,057 members @ 115g/km COโ 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 1,376 kg/y, or 72% less COโ than the average American on travel and commuting. |
||
๐จ Where men go most |
||||
| # | Tag | vs. ๐ฑโโ๏ธ | ||
| 1 | ๐น๐ญ Bangkok | +22% | ||
| 2 | ๐ต๐น Lisbon | -16% | ||
| 3 | ๐ช๐ธ Barcelona | -11% | ||
| 4 | ๐ฌ๐ง London | -21% | ||
| 5 | ๐ซ๐ท Paris | -21% | ||
| 6 | ๐น๐ญ Chiang Mai | -4% | ||
| 7 | ๐ณ๐ฑ Amsterdam | +4% | ||
| 8 | ๐ฉ๐ช Berlin | -3% | ||
| 9 | ๐ฎ๐ฉ Canggu | -1% | ||
| 10 | ๐ฏ๐ต Tokyo | +15% | ||
| 11 | ๐น๐ท Istanbul | +8% | ||
| 12 | ๐ธ๐ฌ Singapore | +14% | ||
| 13 | ๐ฒ๐พ Kuala Lumpur | +27% | ||
| 14 | ๐ฒ๐ฝ Mexico City | -20% | ||
| 15 | ๐ญ๐บ Budapest | +19% | median temp=18°C; n=421,602 | |
๐ฑโโ๏ธ Where women go most |
||||
| # | Tag | vs. ๐จ | ||
| 1 | ๐ต๐น Lisbon | +19% | ||
| 2 | ๐ฌ๐ง London | +27% | ||
| 3 | ๐น๐ญ Bangkok | -18% | ||
| 4 | ๐ช๐ธ Barcelona | +12% | ||
| 5 | ๐ซ๐ท Paris | +27% | ||
| 6 | ๐น๐ญ Chiang Mai | +4% | ||
| 7 | ๐ฒ๐ฝ Mexico City | +25% | ||
| 8 | ๐ฉ๐ช Berlin | +3% | ||
| 9 | ๐ณ๐ฑ Amsterdam | -4% | ||
| 10 | ๐ฎ๐ฉ Canggu | +1% | ||
| 11 | ๐ฎ๐น Rome | +26% | ||
| 12 | ๐น๐ท Istanbul | -7% | ||
| 13 | ๐ฎ๐ฉ Ubud | +30% | ||
| 14 | ๐ฏ๐ต Tokyo | -13% | ||
| 15 | ๐ฆ๐ท Buenos Aires | +7% | median temp=18°C; n=421,602 | |
๐จ Where men go more |
||||
| # | Tag | vs. women | ||
| 1 | ๐ท๐บ Russia | +83% | ||
| 2 | ๐ต๐ฑ Poland | +67% | ||
| 3 | ๐ท๐ด Romania | +52% | ||
| 4 | ๐ฌ๐ช Georgia | +45% | ||
| 5 | ๐ญ๐ฐ Hong Kong | +33% | ||
| 6 | ๐ต๐ญ Philippines | +30% | ||
| 7 | ๐จ๐ณ China | +28% | ||
| 8 | ๐ท๐ธ Serbia | +26% | ||
| 9 | ๐ฆ๐ช United Arab Emirates | +25% | ||
| 10 | ๐จ๐ฟ Czechia | +24% | ||
| 11 | ๐ฏ๐ต Japan | +23% | ||
| 12 | ๐ญ๐บ Hungary | +19% | ||
| 13 | ๐ป๐ณ Vietnam | +18% | ||
| 14 | ๐ณ๐ด Norway | +18% | ||
| 15 | ๐ฒ๐พ Malaysia | +17% | median temp=13°C; n=421,602 | |
๐ฑโโ๏ธ Where women go more |
||||
| # | Tag | vs. men | ||
| 1 | ๐ฟ๐ฆ South Africa | +52% | ||
| 2 | ๐จ๐ท Costa Rica | +47% | ||
| 3 | ๐ฒ๐ฝ Mexico | +37% | ||
| 4 | ๐ฌ๐ง United Kingdom | +29% | ||
| 5 | ๐ญ๐ท Croatia | +25% | ||
| 6 | ๐จ๐ฑ Chile | +23% | ||
| 7 | ๐ซ๐ท France | +21% | ||
| 8 | ๐ฎ๐น Italy | +18% | ||
| 9 | ๐ฌ๐ท Greece | +14% | ||
| 10 | ๐ต๐น Portugal | +13% | ||
| 11 | ๐ฆ๐บ Australia | +12% | ||
| 12 | ๐ฎ๐ช Ireland | +9% | ||
| 13 | ๐ต๐ช Peru | +8% | ||
| 14 | ๐ช๐ธ Spain | +7% | ||
| 15 | ๐บ๐ธ United States | +7% | median temp=18°C; n=421,602 | |
๐ Most liked countries |
||||
| # | Country | Rating | ||
| 1 | ๐ฏ๐ต Japan | 4.8 | ||
| 2 | ๐ญ๐บ Hungary | 4.7 | ||
| 3 | ๐จ๐ฟ Czechia | 4.55 | ||
| 4 | ๐ญ๐ท Croatia | 4.55 | ||
| 5 | ๐ฑ๐ป Latvia | 4.5 | ||
| 6 | ๐ต๐ฑ Poland | 4.5 | ||
| 7 | ๐ฐ๐ท South Korea | 4.4 | ||
| 8 | ๐จ๐ญ Switzerland | 4.35 | ||
| 9 | ๐ฐ๐ฟ Kazakhstan | 4.3 | ||
| 10 | ๐ฌ๐น Guatemala | 4.3 | ||
| 11 | ๐ช๐ช Estonia | 4.25 | ||
| 12 | ๐ฟ๐ฆ South Africa | 4.25 | ||
| 13 | ๐ฑ๐น Lithuania | 4.25 | ||
| 14 | ๐ท๐บ Russia | 4.25 | ||
| 15 | ๐ฌ๐ท Greece | 4.2 | n=4,043 | |
๐คฎ Least liked countries |
||||
| # | Country | Rating | ||
| 1 | ๐จ๐บ Cuba | 1 | ||
| 2 | ๐ฎ๐ท Iran | 1.65 | ||
| 3 | ๐ฌ๐ฎ Gibraltar | 1.65 | ||
| 4 | ๐ญ๐ณ Honduras | 1.65 | ||
| 5 | ๐จ๐พ Cyprus | 1.65 | ||
| 6 | ๐ฒ๐น Malta | 2.15 | ||
| 7 | ๐จ๐ฑ Chile | 2.25 | ||
| 8 | ๐ฑ๐ฐ Sri Lanka | 2.35 | ||
| 9 | ๐ธ๐ด Somalia | 2.5 | ||
| 10 | ๐ช๐น Ethiopia | 2.5 | ||
| 11 | ๐น๐ฟ Tanzania | 2.5 | ||
| 12 | ๐ธ๐ณ Senegal | 2.5 | ||
| 13 | ๐ฒ๐ณ Mongolia | 2.5 | ||
| 14 | ๐ป๐ช Venezuela | 2.5 | ||
| 15 | ๐ฑ๐บ Luxembourg | 2.5 | n=4,043 | |
โฐ How long do nomads stay in one city? |
||||
| Duration | % | |||
| < 7 days |
47%
|
|||
| 7 - 30 days |
33%
|
|||
| 30 - 90 days |
14%
|
|||
| 90+ days |
6%
|
|||
| Average | 62 days (2 months) | |||
| Median | 7 days | n=410,961 | ||
๐ก How long do nomads stay in one country? |
||||
| Duration | % | |||
| < 7 days |
0%
|
|||
| 7 - 30 days |
60%
|
|||
| 30 - 90 days |
27%
|
|||
| 90+ days |
13%
|
|||
| Average | 126 days (4 months) | n=410,961 | ||
๐ป Software Dev
๐ Startup Founder
๐ธ Web Dev
๐ Marketing
๐ฉโ๐จ Creative
๐ SaaS
๐จ Nomad men work as |
||||
| # | Work | % | vs. women | |
| 1 | ๐ป Software Dev | 33% | +319% | |
| 2 | ๐ Startup Founder | 26% | +174% | |
| 3 | ๐ธ Web Dev | 26% | +347% | |
| 4 | ๐ Marketing | 15% | +20% | |
| 5 | ๐ SaaS | 13% | +259% | |
| 6 | ๐ฉโ๐จ Creative | 12% | +1% | |
| 7 | ๐จ UI/UX Design | 11% | +71% | |
| 8 | ๐ค Product Manager | 10% | +110% | |
| 9 | ๐ฑ Mobile Dev | 10% | +439% | |
| 10 | ๐ฐ Crypto | 10% | +350% | |
| 11 | ๐ Data | 10% | +141% | |
| 12 | ๐ฐ Finance | 9% | +171% | |
| 13 | ๐ Ecommerce | 8% | +148% | |
| 14 | ๐ค Sales | 7% | +117% | |
| 15 | ๐จโ๐ซ Education | 6% | +3% | n=22,914 |
๐ฑโโ๏ธ Nomad women work as |
||||
| # | Work | % | vs. men | |
| 1 | ๐ Marketing | 12% | -17% | |
| 2 | ๐ฉโ๐จ Creative | 12% | -1% | |
| 3 | ๐ Startup Founder | 10% | -64% | |
| 4 | ๐ป Software Dev | 8% | -76% | |
| 5 | ๐จ UI/UX Design | 6% | -41% | |
| 6 | ๐ค Community | 6% | +7% | |
| 7 | ๐ธ Web Dev | 6% | -78% | |
| 8 | ๐จโ๐ซ Education | 6% | -3% | |
| 9 | ๐ Blogging | 6% | 0% | |
| 10 | ๐ Coach | 5% | +2% | |
| 11 | ๐ค Product Manager | 5% | -52% | |
| 12 | ๐ Data | 4% | -59% | |
| 13 | ๐ SaaS | 4% | -72% | |
| 14 | ๐ฐ Finance | 3% | -63% | |
| 15 | ๐ค Sales | 3% | -54% | n=8,692 |
๐จ Nomad men vs. women |
||||
| # | Tag | vs. women | ||
| 1 | ๐ก Sysadmin | +467% | ||
| 2 | ๐ฑ Mobile Dev | +439% | ||
| 3 | ๐ Dev Ops | +435% | ||
| 4 | ๐พ Game Dev | +397% | ||
| 5 | ๐ฐ Crypto | +350% | ||
| 6 | ๐ธ Web Dev | +347% | ||
| 7 | ๐ป Software Dev | +319% | ||
| 8 | ๐ SaaS | +259% | ||
| 9 | ๐ VR Dev | +247% | ||
| 10 | ๐ค AI model | +203% | ||
| 11 | ๐ก๏ธ InfoSec | +197% | ||
| 12 | ๐ Investor | +183% | ||
| 13 | ๐ Startup Founder | +174% | ||
| 14 | ๐ฐ Finance | +171% | ||
| 15 | ๐ Sports | +163% | n=29,285 | |
๐ฑโโ๏ธ Nomad women vs. men |
||||
| # | Tag | vs. men | ||
| 1 | ๐ธ House wife | +295% | ||
| 2 | ๐ Tradwife | +164% | ||
| 3 | ๐งโ๐ผ Human resources | +53% | ||
| 4 | ๐ฅ Healthcare | +49% | ||
| 5 | ๐ Student | +48% | ||
| 6 | ๐น Content Creator | +46% | ||
| 7 | ๐ณ Chef | +32% | ||
| 8 | ๐พ Farm life | +32% | ||
| 9 | ๐ฐ Journalism | +29% | ||
| 10 | ๐ง Psychologist | +25% | ||
| 11 | ๐จ Artist | +20% | ||
| 12 | ๐ Support | +18% | ||
| 13 | ๐จโโ๏ธ Medical | +9% | ||
| 14 | ๐ Hospitality | +8% | ||
| 15 | ๐ค Community | +7% | n=29,285 | |
โ๏ธ Coffee
๐ฌ๐ง Speaks English
๐ Optimist
โฐ Outdoors
๐ COVID vaccinated
๐ฅพ Hiking
๐จโ Nomad men |
||||
| # | Tag | % | vs. ๐ฑโโ๏ธ | |
| 1 | โ๏ธ Coffee | 37% | +58% | |
| 2 | ๐ฌ๐ง Speaks English | 31% | +48% | |
| 3 | ๐ Optimist | 30% | +60% | |
| 4 | ๐ช Fitness | 25% | +84% | |
| 5 | ๐ COVID vaccinated | 25% | +49% | |
| 6 | โฐ Outdoors | 25% | +32% | |
| 7 | ๐ฅพ Hiking | 24% | +45% | |
| 8 | ๐ถ Dogs | 24% | +34% | |
| 9 | ๐ Single | 24% | +61% | |
| 10 | ๐ง Open-minded | 23% | +48% | |
| 11 | โ๏ธ Waking up early | 23% | +57% | |
| 12 | ๐บ Beer | 23% | +179% | |
| 13 | ๐ Staying up late | 22% | +93% | |
| 14 | ๐ Reading | 22% | +35% | |
| 15 | ๐ท Wine | 21% | +25% | n=22,914 |
๐ฑโโ๏ธ Nomad women |
||||
| # | Tag | % | vs. ๐จโ | |
| 1 | โ๏ธ Coffee | 23% | -37% | |
| 2 | ๐ฌ๐ง Speaks English | 21% | -33% | |
| 3 | ๐ Optimist | 19% | -37% | |
| 4 | โฐ Outdoors | 19% | -24% | |
| 5 | ๐ถ Dogs | 18% | -25% | |
| 6 | ๐ท Wine | 17% | -20% | |
| 7 | ๐ฅพ Hiking | 17% | -31% | |
| 8 | ๐ COVID vaccinated | 17% | -33% | |
| 9 | ๐ Reading | 16% | -26% | |
| 10 | ๐ง Open-minded | 16% | -33% | |
| 11 | ๐ต Tea | 16% | -19% | |
| 12 | ๐คธโโ๏ธ Yoga | 15% | +40% | |
| 13 | ๐ Single | 15% | -38% | |
| 14 | โ๏ธ Waking up early | 15% | -36% | |
| 15 | ๐ช Fitness | 14% | -46% | n=8,692 |
๐จ Nomad men vs. women |
||||
| # | Tag | vs. ๐ฑโโ๏ธ | ||
| 1 | ๐ง Have a beard | +1,816% | ||
| 2 | ๐จ No beard | +524% | ||
| 3 | โฝ๏ธ Football | +448% | ||
| 4 | ๐ Ice hockey | +366% | ||
| 5 | ๐งโ Short hair | +327% | ||
| 6 | ๐ช Dropout | +298% | ||
| 7 | ๐ Motorcycling | +291% | ||
| 8 | ๐ Race sports | +275% | ||
| 9 | ๐ Basketball | +271% | ||
| 10 | โ๏ธ Chess | +265% | ||
| 11 | ๐ช Fight sports | +253% | ||
| 12 | ๐ Table tennis | +252% | ||
| 13 | ๐ด Conservative politics | +236% | ||
| 14 | ๐ง Hardstyle music | +232% | ||
| 15 | ๐ฝ Libertarian politics | +221% | n=29,285 | |
๐ฑโโ๏ธ Nomad women vs. men |
||||
| # | Tag | vs. ๐จ | ||
| 1 | ๐ Makeup | +2,769% | ||
| 2 | ๐คธโโ๏ธ Pilates | +837% | ||
| 3 | ๐ฑโโ๏ธ Long hair | +249% | ||
| 4 | ๐ Dress up | +167% | ||
| 5 | โจ Astrology | +160% | ||
| 6 | ๐ช Feminism | +142% | ||
| 7 | ๐ถ Pottery | +137% | ||
| 8 | ๐ Fashion | +133% | ||
| 9 | ๐ฆพ Disabled | +113% | ||
| 10 | โจ Believe in astrology | +102% | ||
| 11 | ๐ Vintage | +76% | ||
| 12 | ๐ข Slowmad | +76% | ||
| 13 | ๐ฅ Red hair | +72% | ||
| 14 | ๐จ Drawing | +65% | ||
| 15 | ๐ Dancing | +54% | n=29,285 | |
๐ Nomads by vaccination |
||||
| Vaccinated | % | |||
| ๐ COVID vaccinated |
92%
|
|||
| ๐ Not COVID vaccinated |
8%
|
n=8,365 | ||
๐ Vaccination (men) | ||||
| Vaccinated | % | |||
| ๐ Vaccinated | 92% | |||
| ๐ Not vaccinated | 8% | n=6,005 | ||
๐ Vaccination (women) | ||||
| Vaccinated | % | |||
| ๐ Vaccinated | 94% | |||
| ๐ Not vaccinated | 6% | n=1,535 | ||
โค๏ธ Nomads by family |
||||
| Relationship | % | |||
| โค๏ธ Close to parents |
82%
|
|||
| ๐ Not close to parents |
18%
|
n=2,470 | ||
๐ถ Nomads by childhood |
||||
| Childhood | % | |||
| ๐ Happy childhood |
89%
|
|||
| ๐ Unhappy childhood |
11%
|
n=2,669 | ||
๐จ Childhood (men) | ||||
| Childhood | % | |||
| ๐ Happy childhood | 90% | |||
| ๐ Unhappy childhood | 10% | n=1,966 | ||
๐ฉ Childhood (women) | ||||
| Childhood | % | |||
| ๐ Happy childhood | 87% | |||
| ๐ Unhappy childhood | 13% | n=435 | ||
๐ก Homeownership amongst nomads |
||||
| Homeownership | % | |||
| ๐ก Homeowner |
55%
|
|||
| ๐ก Not a homeowner |
45%
|
n=2,875 | ||
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).
๐ Pescetarian
๐ In a relationship
โท Skiing
โฐ Climbing
๐ Running
๐จโ Most attractive men's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ In a relationship | +151% | ||
| 2 | ๐ถ Middle child | +150% | ||
| 3 | ๐ Skateboarding | +113% | ||
| 4 | ๐ก Not a homeowner | +109% | ||
| 5 | ๐ Extrovert | +98% | ||
| 6 | ๐ง Have a beard | +94% | ||
| 7 | ๐ iPhone | +83% | ||
| 8 | ๐ Pescetarian | +80% | ||
| 9 | โฐ Climbing | +74% | ||
| 10 | ๐จโ๐ค Partying | +74% | ||
| 11 | ๐ฃ Japanese food | +74% | ||
| 12 | ๐ฌ Facebook | +73% | ||
| 13 | ๐ฅ Soft boiled eggs | +72% | ||
| 14 | ๐งน Tidy | +64% | ||
| 15 | ๐ง Oldest child | +62% | ||
| 16 | ๐ธ Indie rock music | +62% | ||
| 17 | ๐ฐ๐ท Korean food | +61% | ||
| 18 | ๐ช Crossfit | +61% | ||
| 19 | ๐ง Hiphop music | +60% | ||
| 20 | ๐ฐ Pop music | +59% | ||
| 21 | ๐ Third Culture Kid | +59% | ||
| 22 | โฝ๏ธ Football | +58% | ||
| 23 | ๐ง Dubstep music | +57% | ||
| 24 | ๐ฏ๐ฒ Reggae music | +57% | ||
| 25 | ๐ Diving | +57% | ||
| 26 | ๐ฅพ Hiking | +56% | ||
| 27 | ๐งโ Short hair | +56% | ||
| 28 | ๐ Reading | +56% | ||
| 29 | ๐ฏ Mexican food | +55% | ||
| 30 | โฐ Outdoors | +55% | n=29,285 | |
๐ฑโโ๏ธ Most attractive women's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ Pescetarian | +344% | ||
| 2 | โท Skiing | +333% | ||
| 3 | โฐ Climbing | +300% | ||
| 4 | ๐ธ Acoustic music | +281% | ||
| 5 | ๐ Running | +271% | ||
| 6 | ๐ In a relationship | +265% | ||
| 7 | ๐ Surfing | +250% | ||
| 8 | ๐พ Tennis | +242% | ||
| 9 | โค๏ธ Close to my parents | +235% | ||
| 10 | ๐ฅ No alcohol | +228% | ||
| 11 | ๐ Shopping | +216% | ||
| 12 | โ๏ธ Waking up early | +216% | ||
| 13 | โ๏ธ Doesn't want kids | +214% | ||
| 14 | โฑ Beach | +212% | ||
| 15 | ๐ง Oldest child | +212% | ||
| 16 | ๐ฅ Vegetarian | +208% | ||
| 17 | ๐ 420 | +204% | ||
| 18 | ๐ช Fitness | +202% | ||
| 19 | ๐ซ Not religious | +198% | ||
| 20 | ๐ Dress up | +196% | ||
| 21 | ๐ป Gardening | +190% | ||
| 22 | ๐ฐ Pop music | +186% | ||
| 23 | ๐ฅ Soft boiled eggs | +184% | ||
| 24 | ๐ Swimming | +181% | ||
| 25 | ๐ด Cycling | +175% | ||
| 26 | ๐ฅพ Hiking | +174% | ||
| 27 | ๐๏ธโ Weightlifting | +168% | ||
| 28 | ๐ณ๏ธโ๐ Progressive politics | +168% | ||
| 29 | ๐ฉโ๐ณ Cooking | +166% | ||
| 30 | ๐ iPhone | +164% | n=29,285 | |
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.
๐ง Garage music
๐ธ Anime
๐ณ Bowling
๐คฟ Snorkeling
๐ก Architecture
๐ Cricket
๐จโ Most unattractive men's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ง Garage music | -3,275% | ||
| 2 | ๐ธ Anime | -2,757% | ||
| 3 | ๐ณ Bowling | -2,551% | ||
| 4 | ๐คฟ Snorkeling | -2,013% | ||
| 5 | ๐ Cricket | -1,534% | ||
| 6 | ๐ก Architecture | -1,446% | ||
| 7 | ๐ฆ Still water | -810% | ||
| 8 | ๐ฒ Board games | -614% | ||
| 9 | ๐ FetLife | -546% | ||
| 10 | ๐จ No beard | -543% | ||
| 11 | ๐ค Podcast | -467% | ||
| 12 | ๐ข Slowmad | -458% | ||
| 13 | ๐ Creatine | -409% | ||
| 14 | ๐ถโ๐ซ๏ธ Hang gliding | -379% | ||
| 15 | ๐ณ๏ธโ๐ LGBTQ+ | -301% | ||
| 16 | ๐ญ Swinging | -282% | ||
| 17 | ๐๏ธ Live in the mountains | -262% | ||
| 18 | ๐จโ๐ฆฒ Bald | -245% | ||
| 19 | ๐งโ๐จ Interior design | -203% | ||
| 20 | ๐ง Hardstyle music | -182% | ||
| 21 | ๐ช Skydiving | -173% | ||
| 22 | ๐ฌ Daily smoker | -148% | ||
| 23 | ๐ต๐ท Reggaeton music | -145% | ||
| 24 | ๐ฉ Samoyeds | -137% | ||
| 25 | ๐ Vintage | -105% | ||
| 26 | ๐ง๐ท Brazil funk | -105% | ||
| 27 | โ๏ธ Private pilot | -98% | ||
| 28 | ๐ Single | -87% | ||
| 29 | ๐ฌ Discord | -81% | ||
| 30 | ๐ค Android | -76% | n=29,285 | |
๐ฑโโ๏ธ Most unattractive women's traits |
||||
| # | Tag | Diff | ||
| 1 | โจ Believe in astrology | -1,147% | ||
| 2 | ๐คฟ Snorkeling | -550% | ||
| 3 | ๐ฅ Messy | -543% | ||
| 4 | ๐ Urbex | -527% | ||
| 5 | ๐ฑ Pool | -436% | ||
| 6 | ๐ Religious | -397% | ||
| 7 | ๐ณ Bowling | -351% | ||
| 8 | ๐ช Paragliding | -328% | ||
| 9 | ๐ธ Anime | -328% | ||
| 10 | ๐ฌ Slack | -267% | ||
| 11 | ๐บ Breakdance | -260% | ||
| 12 | ๐ฌ Discord | -244% | ||
| 13 | ๐ง Pessimist | -221% | ||
| 14 | โ๏ธ Chess | -221% | ||
| 15 | ๐ฌ Daily smoker | -214% | ||
| 16 | ๐ก Architecture | -206% | ||
| 17 | ๐จ No beard | -206% | ||
| 18 | ๐ข Slowmad | -191% | ||
| 19 | ๐ง Have a beard | -160% | ||
| 20 | ๐ง Bouldering | -152% | ||
| 21 | ๐ง Hardstyle music | -152% | ||
| 22 | ๐คธโโ๏ธ Pilates | -145% | ||
| 23 | ๐ฒ Board games | -137% | ||
| 24 | ๐ฌ Facebook | -125% | ||
| 25 | ๐ด Conservative politics | -122% | ||
| 26 | ๐ฆ Still water | -122% | ||
| 27 | ๐ฐ๐ท K-pop music | -91% | ||
| 28 | โพ๏ธ Baseball | -84% | ||
| 29 | ๐ Carnivore | -77% | ||
| 30 | ๐งฌ Longevity | -76% | n=29,285 | |
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).
๐ Coach
๐ Blogging
๐ Startup Founder
๐จ UI/UX Design
๐ฉโ๐จ Creative
๐ Marketing
๐จโ Attractive men's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐ Hospitality | +114% | ||
| 2 | ๐ Logistics | +93% | ||
| 3 | ๐จ UI/UX Design | +92% | ||
| 4 | ๐ Coach | +78% | ||
| 5 | ๐ช Fitness | +68% | ||
| 6 | ๐ค Product Manager | +56% | ||
| 7 | ๐ฉโ๐จ Creative | +54% | ||
| 8 | ๐ Startup Founder | +51% | ||
| 9 | ๐ Sports | +44% | ||
| 10 | ๐ธ Web Dev | +43% | ||
| 11 | ๐ฑ Mobile Dev | +33% | ||
| 12 | ๐ SaaS | +30% | ||
| 13 | ๐ป Software Dev | +28% | ||
| 14 | ๐ Ecommerce | +27% | ||
| 15 | ๐ค Community | +25% | ||
| 16 | ๐ Blogging | +20% | ||
| 17 | ๐ Dev Ops | +16% | ||
| 18 | ๐ฐ Finance | +15% | ||
| 19 | ๐จโ๐ซ Education | +15% | ||
| 20 | ๐ Marketing | +13% | ||
| 21 | ๐ Data | +13% | ||
| 22 | ๐ฐ Crypto | +3% | ||
| 23 | ๐ค Sales | +1% | n=29,285 | |
๐ฑโโ๏ธ Attractive women's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐ Blogging | +229% | ||
| 2 | ๐ Coach | +194% | ||
| 3 | ๐ Marketing | +136% | ||
| 4 | ๐ Startup Founder | +123% | ||
| 5 | ๐ค Community | +98% | ||
| 6 | ๐ฉโ๐จ Creative | +96% | ||
| 7 | ๐ป Software Dev | +94% | ||
| 8 | ๐จโ๐ซ Education | +87% | ||
| 9 | ๐จ UI/UX Design | +71% | n=29,285 | |
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.
๐ฉ Politics
๐ฉโ๐ผ Law
๐ Investor
๐น Content Creator
๐ Engineering
๐ก Architecture
๐จโ Most unattractive men's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐ฉ Politics | -2,718% | ||
| 2 | ๐ฉโ๐ผ Law | -2,493% | ||
| 3 | ๐ Investor | -996% | ||
| 4 | ๐น Content Creator | -692% | ||
| 5 | ๐ Engineering | -546% | ||
| 6 | ๐ Real estate | -419% | ||
| 7 | ๐ต Music | -409% | ||
| 8 | ๐จ Artist | -350% | ||
| 9 | ๐ฐ Journalism | -292% | ||
| 10 | ๐ฅ Healthcare | -193% | ||
| 11 | ๐ฌ Science | -193% | ||
| 12 | ๐ OF | -145% | ||
| 13 | ๐ Student | -145% | ||
| 14 | ๐ถ Adult | -118% | ||
| 15 | ๐ก Sysadmin | -114% | ||
| 16 | ๐ผ Retired | -96% | ||
| 17 | ๐ Unemployed | -66% | ||
| 18 | โ๏ธ Aviation | -37% | ||
| 19 | ๐พ Game Dev | -37% | ||
| 20 | ๐ก Architecture | -33% | ||
| 21 | ๐ VR Dev | -24% | ||
| 22 | ๐ Recruitment | -8% | ||
| 23 | ๐ค Consulting | -4% | n=29,285 | |
๐ฑโโ๏ธ Most unattractive women's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐ก Architecture | -466% | ||
| 2 | ๐ค Consulting | -428% | ||
| 3 | ๐ Logistics | -405% | ||
| 4 | ๐ฉ Politics | -321% | ||
| 5 | ๐ Data | -175% | ||
| 6 | ๐ค Sales | -119% | ||
| 7 | ๐ VR Dev | -114% | ||
| 8 | ๐จ Artist | -61% | ||
| 9 | ๐ฐ Journalism | -49% | ||
| 10 | ๐ Hospitality | -37% | ||
| 11 | ๐ฅ Healthcare | -30% | ||
| 12 | ๐ Real estate | -22% | ||
| 13 | ๐ Investor | -15% | ||
| 14 | ๐จโโ๏ธ Medical | -11% | ||
| 15 | ๐ต Music | -7% | ||
| 16 | ๐ Student | -7% | n=29,285 | |
๐จโ Where attractive men travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐ฌ๐ท Mykonos | 5 | ||
| 2 | ๐ต๐น Ericeira | 4.45 | ||
| 3 | ๐ฆ๐น Salzburg | 4.39 | ||
| 4 | ๐ฎ๐น Pisa | 4.36 | ||
| 5 | ๐ฎ๐ฉ Uluwatu | 4.32 | ||
| 6 | ๐ญ๐ท Zadar | 4.32 | ||
| 7 | ๐บ๐ธ Honolulu | 4.32 | ||
| 8 | ๐ฆ๐บ Brisbane | 4.32 | ||
| 9 | ๐ฒ๐ฝ Cabo San Lucas | 4.32 | ||
| 10 | ๐ธ๐ช Malmรถ | 4.27 | ||
| 11 | ๐ณ๐ด Bergen | 4.24 | ||
| 12 | ๐ช๐ธ Ibiza | 4.24 | ||
| 13 | ๐ฉ๐ช Stuttgart | 4.23 | ||
| 14 | ๐จ๐ท Tamarindo | 4.22 | ||
| 15 | ๐ช๐ธ Mallorca | 4.22 | ||
| 16 | ๐ฉ๐ด Punta Cana | 4.18 | ||
| 17 | ๐ฑ๐บ Luxembourg | 4.18 | ||
| 18 | ๐จ๐ญ Zurich | 4.15 | ||
| 19 | ๐ฌ๐ง Manchester | 4.15 | ||
| 20 | ๐ช๐ธ Fuerteventura | 4.15 | ||
| 21 | ๐บ๐ธ Boston | 4.15 | ||
| 22 | ๐บ๐ฟ Tashkent | 4.15 | ||
| 23 | ๐ฎ๐น Catania | 4.13 | ||
| 24 | ๐ช๐ธ San Sebastian | 4.13 | ||
| 25 | ๐ช๐ธ Granada | 4.12 | ||
| 26 | ๐ต๐น Lagos | 4.11 | ||
| 27 | ๐ฒ๐พ Langkawi | 4.11 | ||
| 28 | ๐ฆ๐ฉ Andorra la Vella | 4.1 | ||
| 29 | ๐ช๐ธ Malaga | 4.1 | ||
| 30 | ๐ฆ๐บ Melbourne | 4.09 | Based on attractiveness of visitors n=421,602 | |
๐ฑโโ๏ธ Where attractive women travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐บ๐ธ Houston | 5 | ||
| 2 | ๐ต๐ฑ Wrocลaw | 4.92 | ||
| 3 | ๐น๐ญ Ko Phi Phi | 4.85 | ||
| 4 | ๐บ๐ธ Orlando | 4.84 | ||
| 5 | ๐ฎ๐น Genoa | 4.8 | ||
| 6 | ๐ป๐ณ Nha Trang | 4.76 | ||
| 7 | ๐ฉ๐ช Dresden | 4.75 | ||
| 8 | ๐ต๐ฑ Gdansk | 4.73 | ||
| 9 | ๐ณ๐ฑ Rotterdam | 4.73 | ||
| 10 | ๐ช๐ธ Fuerteventura | 4.69 | ||
| 11 | ๐ฑ๐ฐ Galle | 4.69 | ||
| 12 | ๐ฉ๐ด Punta Cana | 4.68 | ||
| 13 | ๐บ๐ฆ Kyiv | 4.62 | ||
| 14 | ๐น๐ญ Ao Nang | 4.6 | ||
| 15 | ๐ท๐บ Moscow | 4.59 | ||
| 16 | ๐บ๐ธ Phoenix | 4.59 | ||
| 17 | ๐บ๐ธ Austin | 4.57 | ||
| 18 | ๐จ๐ฑ Valparaรญso | 4.57 | ||
| 19 | ๐น๐ญ Ko Samui | 4.57 | ||
| 20 | ๐บ๐ธ Denver | 4.57 | ||
| 21 | ๐ฎ๐น Catania | 4.56 | ||
| 22 | ๐ฌ๐ท Mykonos | 4.56 | ||
| 23 | ๐ฆ๐บ Cairns | 4.56 | ||
| 24 | ๐จ๐ญ Interlaken | 4.55 | ||
| 25 | ๐ฒ๐ช Budva | 4.55 | ||
| 26 | ๐ง๐ช Bruges | 4.55 | ||
| 27 | ๐ฌ๐ท Rhodes | 4.55 | ||
| 28 | ๐ท๐บ Saint Petersburg | 4.55 | ||
| 29 | ๐บ๐ธ Miami | 4.54 | ||
| 30 | ๐น๐ญ Chiang Rai | 4.53 | Based on attractiveness of visitors n=421,602 | |
๐จโ Where unattractive men travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐ฎ๐ณ Goa | 3.07 | ||
| 2 | ๐ฎ๐ณ Bengaluru | 3.24 | ||
| 3 | ๐ช๐ธ Alicante | 3.27 | ||
| 4 | ๐ณ๐ฟ Wellington | 3.34 | ||
| 5 | ๐บ๐ฆ Lviv | 3.38 | ||
| 6 | ๐น๐ญ Pattaya | 3.38 | ||
| 7 | ๐ป๐ณ Nha Trang | 3.38 | ||
| 8 | ๐ฐ๐ญ Phnom Penh | 3.38 | ||
| 9 | ๐ฒ๐ฉ Chisinau | 3.39 | ||
| 10 | ๐บ๐ธ Houston | 3.4 | ||
| 11 | ๐ณ๐ต Kathmandu | 3.42 | ||
| 12 | ๐ฆ๐ฒ Yerevan | 3.42 | ||
| 13 | ๐ฌ๐ช Batumi | 3.42 | ||
| 14 | ๐ต๐ฑ Gdansk | 3.43 | ||
| 15 | ๐ง๐พ Minsk | 3.43 | ||
| 16 | ๐ฎ๐ฉ Kuta | 3.45 | ||
| 17 | ๐ต๐พ Asuncion | 3.45 | ||
| 18 | ๐ฒ๐ฝ Cozumel | 3.45 | ||
| 19 | ๐ณ๐ฑ Rotterdam | 3.45 | ||
| 20 | ๐น๐ญ Chiang Rai | 3.45 | ||
| 21 | ๐ช๐ธ Bilbao | 3.46 | ||
| 22 | ๐ท๐บ Moscow | 3.46 | ||
| 23 | ๐ต๐ฑ Wrocลaw | 3.47 | ||
| 24 | ๐ฏ๐ต Hiroshima | 3.48 | ||
| 25 | ๐ต๐ฆ Panama City | 3.49 | ||
| 26 | ๐ฐ๐ฟ Almaty | 3.49 | ||
| 27 | ๐ท๐ด Cluj | 3.52 | ||
| 28 | ๐จ๐บ Havana | 3.53 | ||
| 29 | ๐บ๐ธ Washington | 3.53 | ||
| 30 | ๐บ๐ธ Seattle | 3.53 | Based on unattractiveness of visitors n=421,602 | |
๐ฑโโ๏ธ Where unattractive women travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐ช๐จ Quito | 3.14 | ||
| 2 | ๐ฐ๐ช Nairobi | 3.27 | ||
| 3 | ๐จ๐ฆ Quebec City | 3.35 | ||
| 4 | ๐ต๐พ Asuncion | 3.37 | ||
| 5 | ๐ฑ๐ฐ Weligama | 3.37 | ||
| 6 | ๐จ๐ณ Macau | 3.39 | ||
| 7 | ๐ต๐ท San Juan | 3.4 | ||
| 8 | ๐ฆ๐บ Perth | 3.42 | ||
| 9 | ๐ฏ๐ต Fukuoka | 3.42 | ||
| 10 | ๐ณ๐ฟ Wellington | 3.42 | ||
| 11 | ๐จ๐ณ Shenzhen | 3.43 | ||
| 12 | ๐ง๐ฆ Sarajevo | 3.46 | ||
| 13 | ๐ฒ๐ฝ Guadalajara | 3.49 | ||
| 14 | ๐ฏ๐ฒ Montego Bay | 3.51 | ||
| 15 | ๐จ๐ณ Guangzhou | 3.51 | ||
| 16 | ๐ฌ๐ง Glasgow | 3.51 | ||
| 17 | ๐ฏ๐ด Amman | 3.52 | ||
| 18 | ๐ฒ๐ฝ Merida | 3.53 | ||
| 19 | ๐ง๐ฌ Bansko | 3.54 | ||
| 20 | ๐ช๐จ Cuenca | 3.54 | ||
| 21 | ๐บ๐ธ Atlanta | 3.56 | ||
| 22 | ๐ฉ๐ช Dusseldorf | 3.56 | ||
| 23 | ๐ง๐ฆ Mostar | 3.57 | ||
| 24 | ๐ฒ๐ฆ Essaouira | 3.57 | ||
| 25 | ๐ฐ๐ท Jeju Island | 3.57 | ||
| 26 | ๐ช๐ธ Lanzarote | 3.58 | ||
| 27 | ๐จ๐ด Bogota | 3.59 | ||
| 28 | ๐บ๐ธ New Orleans | 3.59 | ||
| 29 | ๐ฑ๐ฐ Colombo | 3.61 | ||
| 30 | ๐ฒ๐ฝ Puebla | 3.63 | Based on unattractiveness of visitors n=421,602 | |
Share of the visiting nomads who travel to each city (locals excluded) who hold a ๐ 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.
๐ Where the most educated people travel to |
||||
| # | City | Graduate degree | ||
| 1 | ๐จ๐พ Larnaca | 48% | ||
| 2 | ๐ง๐พ Minsk | 45% | ||
| 3 | ๐ต๐น Madeira | 44% | ||
| 4 | ๐บ๐ธ Boston | 44% | ||
| 5 | ๐ช๐ธ Fuerteventura | 43% | ||
| 6 | ๐ฑ๐บ Luxembourg | 43% | ||
| 7 | ๐ฑ๐ง Beirut | 43% | ||
| 8 | ๐ฒ๐ฉ Chisinau | 43% | ||
| 9 | ๐ฌ๐ช Batumi | 43% | ||
| 10 | ๐ต๐ฑ Wrocลaw | 43% | ||
| 11 | ๐ฒ๐ฆ Taghazout | 43% | ||
| 12 | ๐จ๐ญ Geneva | 43% | ||
| 13 | ๐ต๐น Azores | 43% | ||
| 14 | ๐ช๐ธ Lanzarote | 43% | ||
| 15 | ๐ท๐ด Brasov | 42% | ||
| 16 | ๐ฎ๐น Genoa | 42% | ||
| 17 | ๐จ๐พ Limassol | 42% | ||
| 18 | ๐ฉ๐ด Santo Domingo | 42% | ||
| 19 | ๐ช๐ช Tallinn | 42% | ||
| 20 | ๐ฆ๐ฉ Andorra la Vella | 42% | ||
| 21 | ๐ฑ๐ฐ Weligama | 42% | ||
| 22 | ๐ธ๐ฎ Ljubljana | 42% | ||
| 23 | ๐ฆ๐ฒ Yerevan | 42% | ||
| 24 | ๐ฐ๐ฌ Bishkek | 42% | ||
| 25 | ๐น๐ณ Tunis | 42% | ||
| 26 | ๐ฎ๐น Turin | 42% | ||
| 27 | ๐ต๐ฑ Gdansk | 42% | ||
| 28 | ๐จ๐ญ Zurich | 42% | ||
| 29 | ๐ช๐ธ Bilbao | 42% | ||
| 30 | ๐ฌ๐ท Thessaloniki | 42% | Share of visiting nomads with a graduate degree n=123,580 nomads | |
๐ Where the least educated people travel to |
||||
| # | City | Graduate degree | ||
| 1 | ๐ฒ๐ฝ Cabo San Lucas | 26% | ||
| 2 | ๐น๐ญ Ko Phi Phi | 27% | ||
| 3 | ๐จ๐ท Tamarindo | 27% | ||
| 4 | ๐ฒ๐ฆ Tangier | 27% | ||
| 5 | ๐น๐ญ Krabi | 28% | ||
| 6 | ๐ฒ๐ฝ Sayulita | 29% | ||
| 7 | ๐ฒ๐ฝ Guadalajara | 29% | ||
| 8 | ๐จ๐ณ Guangzhou | 29% | ||
| 9 | ๐ฒ๐ฝ San Miguel de Allende | 30% | ||
| 10 | ๐ฎ๐ฉ Jakarta | 30% | ||
| 11 | ๐ฏ๐ต Hiroshima | 31% | ||
| 12 | ๐บ๐ธ Atlanta | 31% | ||
| 13 | ๐บ๐ธ Houston | 31% | ||
| 14 | ๐ฌ๐ท Mykonos | 31% | ||
| 15 | ๐ฌ๐น Antigua | 31% | ||
| 16 | ๐น๐ญ Ao Nang | 31% | ||
| 17 | ๐ฎ๐ฉ Seminyak | 31% | ||
| 18 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 32% | ||
| 19 | ๐ฏ๐ต Osaka | 32% | ||
| 20 | ๐ฆ๐บ Brisbane | 32% | ||
| 21 | ๐จ๐ท Santa Teresa | 32% | ||
| 22 | ๐น๐ญ Pattaya | 32% | ||
| 23 | ๐ป๐ณ Hue | 32% | ||
| 24 | ๐น๐ญ Pai | 32% | ||
| 25 | ๐จ๐ฆ Calgary | 32% | ||
| 26 | ๐ฆ๐บ Perth | 32% | ||
| 27 | ๐น๐ผ Taipei | 32% | ||
| 28 | ๐ป๐ณ Hanoi | 32% | ||
| 29 | ๐ช๐ธ San Sebastian | 32% | ||
| 30 | ๐ฑ๐ฆ Vientiane | 32% | Share of visiting nomads with a graduate degree n=123,580 nomads | |
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.
๐ฃ Youngest visiting nomads | ||||
| # | City | Median age | ||
| 1 | ๐บ๐ฟ Tashkent | 33 yrs | ||
| 2 | ๐ฎ๐น Pisa | 33 yrs | ||
| 3 | ๐ฐ๐ฟ Almaty | 33 yrs | ||
| 4 | ๐น๐ท Ankara | 33 yrs | ||
| 5 | ๐ฎ๐ฉ Uluwatu | 34 yrs | ||
| 6 | ๐ต๐ฑ Warsaw | 34 yrs | ||
| 7 | ๐จ๐ณ Chengdu | 34 yrs | ||
| 8 | ๐จ๐ณ Guangzhou | 34 yrs | ||
| 9 | ๐ต๐ฑ Poznan | 34 yrs | ||
| 10 | ๐ฆ๐ท Bariloche | 34 yrs | ||
| 11 | ๐ฌ๐ง Oxford | 34 yrs | ||
| 12 | ๐ฌ๐ช Batumi | 34 yrs | ||
| 13 | ๐ฌ๐ช Kutaisi | 34 yrs | ||
| 14 | ๐ต๐ญ Siargao | 34 yrs | ||
| 15 | ๐น๐ท Antalya | 34 yrs | ||
| 16 | ๐ฆ๐ฒ Yerevan | 34 yrs | ||
| 17 | ๐จ๐ฟ Brno | 34 yrs | ||
| 18 | ๐จ๐ญ Interlaken | 34 yrs | ||
| 19 | ๐ฎ๐น Milan | 34 yrs | ||
| 20 | ๐ธ๐ช Gothenburg | 34 yrs | ||
| 21 | ๐ฌ๐ง Cambridge | 34 yrs | ||
| 22 | ๐ซ๐ท Chamonix | 34 yrs | ||
| 23 | ๐ถ๐ฆ Doha | 34 yrs | ||
| 24 | ๐บ๐ธ Detroit | 34 yrs | ||
| 25 | ๐บ๐ธ Raleigh | 34 yrs | ||
| 26 | ๐ฒ๐ป Male | 34 yrs | ||
| 27 | ๐ป๐ฆ Vatican City | 34 yrs | ||
| 28 | ๐ท๐บ Sochi | 34 yrs | ||
| 29 | ๐บ๐ธ Philadelphia | 34.5 yrs | ||
| 30 | ๐ฒ๐ช Podgorica | 34.5 yrs | Median age of visiting nomads (locals excluded)n=196,532 nomads | |
๐ง Oldest visiting nomads | ||||
| # | City | Median age | ||
| 1 | ๐ฒ๐ฝ San Miguel de Allende | 41 yrs | ||
| 2 | ๐ฒ๐ฝ Puebla | 39 yrs | ||
| 3 | ๐ณ๐ฟ Wellington | 39 yrs | ||
| 4 | ๐ฒ๐ฒ Yangon | 38 yrs | ||
| 5 | ๐บ๐ธ Kansas City | 38 yrs | ||
| 6 | ๐น๐ญ Hua Hin | 38 yrs | ||
| 7 | ๐ฒ๐ฝ Merida | 38 yrs | ||
| 8 | ๐จ๐ท Puerto Viejo | 38 yrs | ||
| 9 | ๐ง๐ท Fortaleza | 38 yrs | ||
| 10 | ๐จ๐ฆ Quebec City | 38 yrs | ||
| 11 | ๐ฒ๐ฝ Guadalajara | 38 yrs | ||
| 12 | ๐บ๐ธ Oakland | 38 yrs | ||
| 13 | ๐น๐ญ Ko Lanta | 38 yrs | ||
| 14 | ๐ช๐จ Cuenca | 38 yrs | ||
| 15 | ๐ง๐ท Recife | 38 yrs | ||
| 16 | ๐ฒ๐ฝ Cozumel | 37.5 yrs | ||
| 17 | ๐ต๐ฆ Bocas del Toro | 37.5 yrs | ||
| 18 | ๐ฒ๐ฝ Puerto Vallarta | 37 yrs | ||
| 19 | ๐ฑ๐ง Beirut | 37 yrs | ||
| 20 | ๐ฒ๐ฝ Sayulita | 37 yrs | ||
| 21 | ๐จ๐บ Havana | 37 yrs | ||
| 22 | ๐น๐ญ Ao Nang | 37 yrs | ||
| 23 | ๐ฑ๐ฆ Vientiane | 37 yrs | ||
| 24 | ๐ฒ๐ฝ Isla Mujeres | 37 yrs | ||
| 25 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 37 yrs | ||
| 26 | ๐ต๐ญ Boracay | 37 yrs | ||
| 27 | ๐ช๐ธ Tarifa | 37 yrs | ||
| 28 | ๐ฎ๐ช Galway | 37 yrs | ||
| 29 | ๐ฒ๐พ Johor Bahru | 37 yrs | ||
| 30 | ๐จ๐ท San Josรฉ | 37 yrs | Median age of visiting nomads (locals excluded)n=196,532 nomads | |
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.
๐ฐ Highest-earning visitors | ||||
| # | City | Median income | ||
| 1 | ๐บ๐ธ Austin | $150,000 | ||
| 2 | ๐ฏ๐ต Tokyo | $100,000 | ||
| 3 | ๐บ๐ธ New York City | $100,000 | ||
| 4 | ๐จ๐ฆ Toronto | $100,000 | ||
| 5 | ๐ฆ๐บ Sydney | $100,000 | ||
| 6 | ๐ฆ๐ท Buenos Aires | $100,000 | ||
| 7 | ๐ณ๐ฟ Auckland | $100,000 | ||
| 8 | ๐ฒ๐ฝ Mexico City | $100,000 | ||
| 9 | ๐บ๐ธ Chicago | $100,000 | ||
| 10 | ๐ธ๐ฎ Ljubljana | $100,000 | ||
| 11 | ๐ญ๐ฐ Hong Kong | $100,000 | ||
| 12 | ๐ฉ๐ฐ Copenhagen | $100,000 | ||
| 13 | ๐ง๐ท Rio de Janeiro | $100,000 | ||
| 14 | ๐จ๐ด Medellรญn | $100,000 | ||
| 15 | ๐ฎ๐ณ Delhi | $100,000 | ||
| 16 | ๐ฏ๐ต Kyoto | $100,000 | ||
| 17 | ๐ฟ๐ฆ Cape Town | $100,000 | ||
| 18 | ๐ธ๐ช Stockholm | $100,000 | ||
| 19 | ๐จ๐ฆ Montreal | $100,000 | ||
| 20 | ๐ง๐ท Florianopolis | $100,000 | ||
| 21 | ๐จ๐ญ Zurich | $100,000 | ||
| 22 | ๐จ๐ด Bogota | $100,000 | ||
| 23 | ๐บ๐ธ Boston | $100,000 | ||
| 24 | ๐บ๐ธ San Francisco | $100,000 | ||
| 25 | ๐ฒ๐ฝ Oaxaca | $100,000 | ||
| 26 | ๐ฆ๐ช Dubai | $100,000 | ||
| 27 | ๐จ๐ฆ Vancouver | $100,000 | ||
| 28 | ๐ฒ๐ฆ Marrakesh | $100,000 | ||
| 29 | ๐ซ๐ท Nice | $100,000 | ||
| 30 | ๐น๐ผ Taipei | $100,000 | Median self-reported income of visiting nomadsn=45,875 nomads | |
๐ช Lowest-earning visitors | ||||
| # | City | Median income | ||
| 1 | ๐ฐ๐ฟ Almaty | $65,000 | ||
| 2 | ๐ฆ๐ฒ Yerevan | $70,000 | ||
| 3 | ๐ต๐ญ Cebu | $70,000 | ||
| 4 | ๐ฌ๐ช Batumi | $70,000 | ||
| 5 | ๐ป๐ณ Da Nang | $70,000 | ||
| 6 | ๐ฐ๐ญ Phnom Penh | $72,500 | ||
| 7 | ๐น๐ญ Pattaya | $75,000 | ||
| 8 | ๐น๐ญ Ko Pha Ngan | $75,000 | ||
| 9 | ๐ป๐ณ Hoi An | $75,000 | ||
| 10 | ๐น๐ท Antalya | $75,000 | ||
| 11 | ๐ง๐ฌ Bansko | $75,000 | ||
| 12 | ๐ฐ๐ท Busan | $75,000 | ||
| 13 | ๐ฒ๐พ Penang | $75,000 | ||
| 14 | ๐ฒ๐พ Kuala Lumpur | $75,000 | ||
| 15 | ๐ฌ๐ช Tbilisi | $75,000 | ||
| 16 | ๐ฒ๐ฐ Skopje | $77,500 | ||
| 17 | ๐ป๐ฆ Vatican City | $80,000 | ||
| 18 | ๐น๐ญ Ko Tao | $80,000 | ||
| 19 | ๐ฑ๐บ Luxembourg | $80,000 | ||
| 20 | ๐ช๐ธ Tenerife | $80,000 | ||
| 21 | ๐น๐ญ Phuket | $80,000 | ||
| 22 | ๐ฎ๐ฉ Jakarta | $80,000 | ||
| 23 | ๐ฐ๐ญ Siem Reap | $80,000 | ||
| 24 | ๐ฏ๐ต Fukuoka | $80,000 | ||
| 25 | ๐น๐ญ Ko Lanta | $80,000 | ||
| 26 | ๐ท๐ธ Belgrade | $80,000 | ||
| 27 | ๐น๐ญ Krabi | $80,000 | ||
| 28 | ๐ฑ๐ฐ Colombo | $80,000 | ||
| 29 | ๐ต๐พ Asuncion | $80,000 | ||
| 30 | ๐ฎ๐ฉ Ubud | $80,000 | Median self-reported income of visiting nomadsn=45,875 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.
๐ Most international crowd | ||||
| # | City | Nationality mix | ||
| 1 | ๐บ๐ธ San Francisco | 95% | ||
| 2 | ๐บ๐ธ Boston | 95% | ||
| 3 | ๐บ๐ธ Denver | 95% | ||
| 4 | ๐บ๐ธ Washington | 95% | ||
| 5 | ๐บ๐ธ New York City | 95% | ||
| 6 | ๐บ๐ธ Los Angeles | 95% | ||
| 7 | ๐ฒ๐พ Langkawi | 95% | ||
| 8 | ๐บ๐ธ Las Vegas | 95% | ||
| 9 | ๐บ๐ธ Miami | 95% | ||
| 10 | ๐บ๐ธ Chicago | 94% | ||
| 11 | ๐ฑ๐ฐ Colombo | 94% | ||
| 12 | ๐ฎ๐ฉ Gili Trawangan | 94% | ||
| 13 | ๐จ๐ฟ Brno | 94% | ||
| 14 | ๐ฎ๐ฉ Denpasar | 94% | ||
| 15 | ๐ฑ๐ฐ Weligama | 94% | ||
| 16 | ๐ช๐ธ Tenerife | 94% | ||
| 17 | ๐ฎ๐ฉ Uluwatu | 94% | ||
| 18 | ๐บ๐ธ Seattle | 94% | ||
| 19 | ๐น๐ญ Hua Hin | 94% | ||
| 20 | ๐บ๐ธ San Diego | 94% | ||
| 21 | ๐ฆ๐ช Dubai | 94% | ||
| 22 | ๐ฎ๐น Catania | 94% | ||
| 23 | ๐ฆ๐ช Abu Dhabi | 94% | ||
| 24 | ๐ฌ๐ท Rhodes | 94% | ||
| 25 | ๐บ๐ธ New Orleans | 93% | ||
| 26 | ๐ช๐ฌ Dahab | 93% | ||
| 27 | ๐ฎ๐ฉ Kuta | 93% | ||
| 28 | ๐น๐ญ Ko Samui | 93% | ||
| 29 | ๐ป๐ณ Da Nang | 93% | ||
| 30 | ๐น๐ญ Pai | 93% | How mixed the visiting nomads’ nationalities aren=137,149 nomads | |
๐ Least international crowd | ||||
| # | City | Nationality mix | ||
| 1 | ๐ฒ๐ฝ Cabo San Lucas | 45% | ||
| 2 | ๐ฒ๐ฝ San Miguel de Allende | 49% | ||
| 3 | ๐ต๐ท San Juan | 49% | ||
| 4 | ๐ฒ๐ฝ Sayulita | 58% | ||
| 5 | ๐ฒ๐ฝ Puerto Vallarta | 59% | ||
| 6 | ๐ง๐ธ Nassau | 63% | ||
| 7 | ๐จ๐ท Tamarindo | 65% | ||
| 8 | ๐จ๐ท Santa Teresa | 68% | ||
| 9 | ๐ฒ๐ฝ Cozumel | 68% | ||
| 10 | ๐ฒ๐ฝ Guadalajara | 70% | ||
| 11 | ๐ฌ๐น Antigua | 71% | ||
| 12 | ๐ช๐จ Quito | 72% | ||
| 13 | ๐ฒ๐ฝ Mexico City | 74% | ||
| 14 | ๐ฒ๐ฝ Merida | 74% | ||
| 15 | ๐จ๐ด Medellรญn | 75% | ||
| 16 | ๐จ๐ฆ Vancouver | 75% | ||
| 17 | ๐ฌ๐น Guatemala City | 75% | ||
| 18 | ๐ณ๐ฎ San Juan del Sur | 76% | ||
| 19 | ๐จ๐ฆ Calgary | 77% | ||
| 20 | ๐จ๐ท San Josรฉ | 77% | ||
| 21 | ๐ฒ๐ฝ Tulum | 77% | ||
| 22 | ๐ฎ๐ธ Reykjavik | 77% | ||
| 23 | ๐ฒ๐ฝ Oaxaca | 77% | ||
| 24 | ๐จ๐ฆ Montreal | 78% | ||
| 25 | ๐จ๐ด Cali | 78% | ||
| 26 | ๐ต๐ฆ Bocas del Toro | 78% | ||
| 27 | ๐ฒ๐ฝ Playa del Carmen | 79% | ||
| 28 | ๐จ๐ด Cartagena | 79% | ||
| 29 | ๐ต๐ช Lima | 80% | ||
| 30 | ๐ณ๐ฟ Queenstown | 80% | How mixed the visiting nomads’ nationalities aren=137,149 nomads | |
Share of the visiting nomads who travel to each city who work as software, web or mobile developers (of those who shared their profession).
๐จโ๐ป Most developer-heavy visitors | ||||
| # | City | Developers | ||
| 1 | ๐ฌ๐ช Batumi | 68% | ||
| 2 | ๐ฐ๐ฟ Almaty | 67% | ||
| 3 | ๐ฆ๐ฒ Yerevan | 63% | ||
| 4 | ๐ท๐ด Cluj | 63% | ||
| 5 | ๐บ๐ฟ Tashkent | 63% | ||
| 6 | ๐ต๐ฑ Wrocลaw | 63% | ||
| 7 | ๐ฐ๐ฌ Bishkek | 62% | ||
| 8 | ๐จ๐พ Larnaca | 62% | ||
| 9 | ๐ง๐พ Minsk | 61% | ||
| 10 | ๐ป๐ณ Da Lat | 61% | ||
| 11 | ๐น๐ผ Kaohsiung | 61% | ||
| 12 | ๐ซ๐ท Lyon | 61% | ||
| 13 | ๐น๐ญ Pattaya | 61% | ||
| 14 | ๐ฏ๐ต Hiroshima | 61% | ||
| 15 | ๐ต๐ฑ Krakรณw | 60% | ||
| 16 | ๐น๐ท Antalya | 60% | ||
| 17 | ๐ฎ๐ฉ Denpasar | 60% | ||
| 18 | ๐ท๐ธ Novi Sad | 60% | ||
| 19 | ๐ฏ๐ต Fukuoka | 60% | ||
| 20 | ๐ฏ๐ต Osaka | 60% | ||
| 21 | ๐ฌ๐ช Tbilisi | 60% | ||
| 22 | ๐ท๐บ Moscow | 59% | ||
| 23 | ๐ท๐ธ Belgrade | 59% | ||
| 24 | ๐ฎ๐ณ Bengaluru | 59% | ||
| 25 | ๐ฒ๐พ Langkawi | 59% | ||
| 26 | ๐บ๐ธ San Francisco | 59% | ||
| 27 | ๐ณ๐ฑ Utrecht | 59% | ||
| 28 | ๐ณ๐ด Oslo | 58% | ||
| 29 | ๐ฒ๐ช Budva | 58% | ||
| 30 | ๐ฐ๐ท Busan | 58% | Share of visiting nomads who are developersn=152,596 nomads | |
๐ด Fewest developers | ||||
| # | City | Developers | ||
| 1 | ๐ฒ๐ฝ Cabo San Lucas | 36% | ||
| 2 | ๐ง๐ท Salvador | 39% | ||
| 3 | ๐ช๐จ Cuenca | 39% | ||
| 4 | ๐ณ๐ฎ San Juan del Sur | 41% | ||
| 5 | ๐ฒ๐ฝ Tulum | 41% | ||
| 6 | ๐ฉ๐ด Santo Domingo | 42% | ||
| 7 | ๐ฒ๐ฝ Sayulita | 42% | ||
| 8 | ๐จ๐ด Santa Marta | 42% | ||
| 9 | ๐ฌ๐น Antigua | 42% | ||
| 10 | ๐ฒ๐ฝ Oaxaca | 42% | ||
| 11 | ๐ฒ๐ฝ Puerto Vallarta | 42% | ||
| 12 | ๐จ๐ท Santa Teresa | 42% | ||
| 13 | ๐ฒ๐ฝ Merida | 42% | ||
| 14 | ๐ฒ๐ฝ San Miguel de Allende | 43% | ||
| 15 | ๐ฟ๐ฆ Cape Town | 43% | ||
| 16 | ๐ฑ๐ง Beirut | 43% | ||
| 17 | ๐ช๐ธ San Sebastian | 44% | ||
| 18 | ๐ฉ๐ด Punta Cana | 44% | ||
| 19 | ๐ต๐ฆ Bocas del Toro | 44% | ||
| 20 | ๐ฏ๐ด Amman | 44% | ||
| 21 | ๐ฆ๐ท El Calafate | 45% | ||
| 22 | ๐ช๐จ Quito | 45% | ||
| 23 | ๐ต๐ญ Siargao | 45% | ||
| 24 | ๐ฐ๐ช Nairobi | 45% | ||
| 25 | ๐จ๐บ Havana | 45% | ||
| 26 | ๐ต๐น Lagos | 45% | ||
| 27 | ๐ฒ๐ฆ Essaouira | 45% | ||
| 28 | ๐ฌ๐ท Mykonos | 45% | ||
| 29 | ๐ช๐ธ Ibiza | 46% | ||
| 30 | ๐ฌ๐ง Glasgow | 46% | Share of visiting nomads who are developersn=152,596 nomads | |
Share of the visiting nomads who travel to each city who are startup founders (of those who shared their profession).
๐ Most founder-heavy visitors | ||||
| # | City | Founders | ||
| 1 | ๐จ๐ณ Shenzhen | 46% | ||
| 2 | ๐บ๐ธ San Francisco | 46% | ||
| 3 | ๐ช๐ธ Marbella | 46% | ||
| 4 | ๐บ๐ธ Boston | 42% | ||
| 5 | ๐ด๐ฒ Muscat | 42% | ||
| 6 | ๐ซ๐ท Cannes | 41% | ||
| 7 | ๐ญ๐ฐ Hong Kong | 40% | ||
| 8 | ๐ฆ๐ช Dubai | 40% | ||
| 9 | ๐ฆ๐บ Perth | 40% | ||
| 10 | ๐บ๐ธ New Orleans | 40% | ||
| 11 | ๐ฆ๐ช Abu Dhabi | 40% | ||
| 12 | ๐บ๐ฆ Kyiv | 40% | ||
| 13 | ๐ฒ๐จ Monaco | 40% | ||
| 14 | ๐บ๐ธ Las Vegas | 40% | ||
| 15 | ๐ฎ๐ณ Goa | 40% | ||
| 16 | ๐บ๐ธ Philadelphia | 40% | ||
| 17 | ๐บ๐ธ Los Angeles | 39% | ||
| 18 | ๐ฎ๐ฉ Denpasar | 39% | ||
| 19 | ๐ถ๐ฆ Doha | 39% | ||
| 20 | ๐จ๐พ Larnaca | 39% | ||
| 21 | ๐ฎ๐ฉ Sanur | 39% | ||
| 22 | ๐จ๐ณ Guangzhou | 39% | ||
| 23 | ๐บ๐ธ Dallas | 39% | ||
| 24 | ๐ซ๐ฎ Helsinki | 39% | ||
| 25 | ๐ฎ๐ณ Bengaluru | 39% | ||
| 26 | ๐ฎ๐ฉ Canggu | 39% | ||
| 27 | ๐ง๐ธ Nassau | 39% | ||
| 28 | ๐บ๐ธ New York City | 39% | ||
| 29 | ๐บ๐ฆ Lviv | 38% | ||
| 30 | ๐ช๐ธ Bilbao | 38% | Share of visiting nomads who are foundersn=152,596 nomads | |
๐งโ๐ญ Fewest founders | ||||
| # | City | Founders | ||
| 1 | ๐ฆ๐ท El Calafate | 24% | ||
| 2 | ๐ฆ๐ท Bariloche | 25% | ||
| 3 | ๐ฒ๐ฝ Merida | 26% | ||
| 4 | ๐ต๐ช Arequipa | 26% | ||
| 5 | ๐ฒ๐ฝ Guadalajara | 26% | ||
| 6 | ๐ช๐จ Cuenca | 27% | ||
| 7 | ๐ฌ๐ง Glasgow | 27% | ||
| 8 | ๐ง๐ฆ Mostar | 27% | ||
| 9 | ๐ช๐ธ Granada | 27% | ||
| 10 | ๐ฒ๐ฝ Puerto Escondido | 27% | ||
| 11 | ๐จ๐ท Puerto Viejo | 27% | ||
| 12 | ๐ฆ๐ท Mendoza | 27% | ||
| 13 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 27% | ||
| 14 | ๐ง๐ฆ Sarajevo | 27% | ||
| 15 | ๐ฆ๐ฑ Sarandรซ | 27% | ||
| 16 | ๐ฒ๐ฝ Cozumel | 28% | ||
| 17 | ๐ฒ๐ฝ Oaxaca | 28% | ||
| 18 | ๐ช๐จ Quito | 28% | ||
| 19 | ๐ฐ๐ท Busan | 28% | ||
| 20 | ๐ณ๐ฟ Christchurch | 28% | ||
| 21 | ๐ง๐ฌ Plovdiv | 28% | ||
| 22 | ๐ฉ๐ด Punta Cana | 28% | ||
| 23 | ๐จ๐ท Santa Teresa | 28% | ||
| 24 | ๐ฒ๐ช Kotor | 28% | ||
| 25 | ๐บ๐ธ Honolulu | 29% | ||
| 26 | ๐จ๐ด Santa Marta | 29% | ||
| 27 | ๐ญ๐ท Zadar | 29% | ||
| 28 | ๐ต๐ช Cusco | 29% | ||
| 29 | ๐ฆ๐ท Ushuaia | 29% | ||
| 30 | ๐ฑ๐ฆ Vientiane | 29% | Share of visiting nomads who are foundersn=152,596 nomads | |
Share of the visiting nomads who travel to each city in UI/UX or creative design roles (of those who shared their profession).
๐จ Most designer-heavy visitors | ||||
| # | City | Designers | ||
| 1 | ๐ช๐ธ San Sebastian | 38% | ||
| 2 | ๐ฆ๐บ Perth | 37% | ||
| 3 | ๐บ๐ธ Portland | 37% | ||
| 4 | ๐บ๐ธ Los Angeles | 36% | ||
| 5 | ๐ฑ๐ฐ Galle | 35% | ||
| 6 | ๐จ๐ณ Shanghai | 35% | ||
| 7 | ๐ง๐ช Antwerp | 35% | ||
| 8 | ๐ซ๐ท Cannes | 34% | ||
| 9 | ๐ฐ๐ญ Phnom Penh | 34% | ||
| 10 | ๐ฒ๐ฆ Tangier | 34% | ||
| 11 | ๐ง๐ธ Nassau | 34% | ||
| 12 | ๐ฒ๐ฆ Essaouira | 34% | ||
| 13 | ๐ฆ๐บ Melbourne | 34% | ||
| 14 | ๐ฑ๐ฐ Colombo | 34% | ||
| 15 | ๐ฎ๐ฉ Yogyakarta | 34% | ||
| 16 | ๐ฒ๐ฝ Tulum | 34% | ||
| 17 | ๐ฒ๐พ Penang | 34% | ||
| 18 | ๐ช๐ธ Bilbao | 33% | ||
| 19 | ๐ต๐น Faro | 33% | ||
| 20 | ๐น๐ญ Chiang Rai | 33% | ||
| 21 | ๐จ๐ณ Beijing | 33% | ||
| 22 | ๐น๐ญ Ko Pha Ngan | 33% | ||
| 23 | ๐จ๐ท Puerto Viejo | 33% | ||
| 24 | ๐ณ๐ฑ Rotterdam | 33% | ||
| 25 | ๐จ๐ณ Guangzhou | 33% | ||
| 26 | ๐ต๐น Albufeira | 33% | ||
| 27 | ๐บ๐ธ San Francisco | 33% | ||
| 28 | ๐ฒ๐พ Langkawi | 33% | ||
| 29 | ๐น๐ท Izmir | 33% | ||
| 30 | ๐ฎ๐น Naples | 33% | Share of visiting nomads who are designersn=152,596 nomads | |
๐ง Fewest designers | ||||
| # | City | Designers | ||
| 1 | ๐ต๐พ Asuncion | 20% | ||
| 2 | ๐บ๐ธ Denver | 22% | ||
| 3 | ๐จ๐พ Limassol | 22% | ||
| 4 | ๐ฆ๐ฉ Andorra la Vella | 23% | ||
| 5 | ๐ฆ๐ท Ushuaia | 23% | ||
| 6 | ๐ช๐ฌ Dahab | 23% | ||
| 7 | ๐ฐ๐ฟ Almaty | 24% | ||
| 8 | ๐จ๐พ Paphos | 24% | ||
| 9 | ๐ฐ๐ท Jeju Island | 24% | ||
| 10 | ๐ญ๐ท Zadar | 24% | ||
| 11 | ๐ฎ๐ฉ Sanur | 24% | ||
| 12 | ๐ฒ๐ช Podgorica | 24% | ||
| 13 | ๐ฆ๐ท El Calafate | 24% | ||
| 14 | ๐ฑ๐น Vilnius | 24% | ||
| 15 | ๐ฎ๐น Verona | 25% | ||
| 16 | ๐ฌ๐ท Rhodes | 25% | ||
| 17 | ๐ง๐พ Minsk | 25% | ||
| 18 | ๐ฌ๐ช Tbilisi | 25% | ||
| 19 | ๐ฆ๐ฒ Yerevan | 25% | ||
| 20 | ๐ฒ๐ฆ Casablanca | 25% | ||
| 21 | ๐ง๐ท Foz do Iguaรงu | 25% | ||
| 22 | ๐ฉ๐ด Santo Domingo | 25% | ||
| 23 | ๐จ๐พ Larnaca | 25% | ||
| 24 | ๐ฐ๐ฌ Bishkek | 25% | ||
| 25 | ๐ฆ๐ท Mendoza | 25% | ||
| 26 | ๐ฌ๐ช Batumi | 25% | ||
| 27 | ๐ฑ๐บ Luxembourg | 25% | ||
| 28 | ๐ง๐ฌ Plovdiv | 25% | ||
| 29 | ๐ธ๐ช Gothenburg | 25% | ||
| 30 | ๐บ๐พ Montevideo | 25% | Share of visiting nomads who are designersn=152,596 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).
๐ช Fittest visiting nomads | ||||
| # | City | Gym / strength | ||
| 1 | ๐ต๐น Ericeira | 56% | ||
| 2 | ๐จ๐ด Medellรญn | 52% | ||
| 3 | ๐ฎ๐ฉ Uluwatu | 51% | ||
| 4 | ๐ฒ๐ฝ Playa del Carmen | 50% | ||
| 5 | ๐น๐ญ Ko Samui | 50% | ||
| 6 | ๐จ๐ท Tamarindo | 50% | ||
| 7 | ๐ฉ๐ด Santo Domingo | 50% | ||
| 8 | ๐ต๐ญ Siargao | 50% | ||
| 9 | ๐จ๐ด Cali | 50% | ||
| 10 | ๐น๐ญ Krabi | 50% | ||
| 11 | ๐จ๐ท Santa Teresa | 49% | ||
| 12 | ๐ง๐ท Florianopolis | 49% | ||
| 13 | ๐ฒ๐ฝ Guadalajara | 49% | ||
| 14 | ๐น๐ญ Ko Pha Ngan | 49% | ||
| 15 | ๐ถ๐ฆ Doha | 49% | ||
| 16 | ๐จ๐ด Cartagena | 49% | ||
| 17 | ๐ต๐ฆ Panama City | 49% | ||
| 18 | ๐ญ๐ท Hvar | 49% | ||
| 19 | ๐ช๐ธ Marbella | 49% | ||
| 20 | ๐จ๐ท Puerto Viejo | 49% | ||
| 21 | ๐ฎ๐ฉ Canggu | 49% | ||
| 22 | ๐ต๐ท San Juan | 49% | ||
| 23 | ๐ง๐ท Rio de Janeiro | 48% | ||
| 24 | ๐ช๐ธ Fuerteventura | 48% | ||
| 25 | ๐ช๐ธ Lanzarote | 48% | ||
| 26 | ๐ฆ๐ช Abu Dhabi | 48% | ||
| 27 | ๐ป๐ณ Da Nang | 48% | ||
| 28 | ๐ฒ๐ฝ Sayulita | 48% | ||
| 29 | ๐ญ๐ท Dubrovnik | 48% | ||
| 30 | ๐ช๐ธ Mallorca | 48% | Share of visiting nomads into gym & strength trainingn=149,146 nomads | |
๐๏ธ Least gym-going visitors | ||||
| # | City | Gym / strength | ||
| 1 | ๐ณ๐ฑ The Hague | 32% | ||
| 2 | ๐ฌ๐ง Glasgow | 32% | ||
| 3 | ๐น๐ท Izmir | 33% | ||
| 4 | ๐บ๐ฟ Tashkent | 34% | ||
| 5 | ๐ฎ๐ฉ Yogyakarta | 34% | ||
| 6 | ๐ณ๐ด Bergen | 34% | ||
| 7 | ๐ง๐ฌ Plovdiv | 34% | ||
| 8 | ๐ฌ๐ง Belfast | 35% | ||
| 9 | ๐ฎ๐ณ Jaipur | 35% | ||
| 10 | ๐ง๐พ Minsk | 35% | ||
| 11 | ๐น๐ญ Chiang Rai | 36% | ||
| 12 | ๐ฆ๐ท Ushuaia | 36% | ||
| 13 | ๐ง๐ฆ Mostar | 36% | ||
| 14 | ๐ซ๐ท Lyon | 36% | ||
| 15 | ๐ฒ๐ฝ San Miguel de Allende | 36% | ||
| 16 | ๐จ๐ณ Chengdu | 36% | ||
| 17 | ๐ง๐ฆ Sarajevo | 36% | ||
| 18 | ๐ฆ๐ฒ Yerevan | 36% | ||
| 19 | ๐ท๐ธ Novi Sad | 36% | ||
| 20 | ๐ต๐ช Arequipa | 36% | ||
| 21 | ๐ฐ๐ฟ Almaty | 37% | ||
| 22 | ๐ฌ๐ง Edinburgh | 37% | ||
| 23 | ๐ฒ๐ฆ Fes | 37% | ||
| 24 | ๐ง๐ท Foz do Iguaรงu | 37% | ||
| 25 | ๐ฐ๐ฌ Bishkek | 37% | ||
| 26 | ๐จ๐ฑ San Pedro de Atacama | 37% | ||
| 27 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 38% | ||
| 28 | ๐ฒ๐ฉ Chisinau | 38% | ||
| 29 | ๐จ๐ฆ Quebec City | 38% | ||
| 30 | ๐ฌ๐ฎ Gibraltar | 38% | Share of visiting nomads into gym & strength trainingn=149,146 nomads | |
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).
๐บ Biggest drinkers | ||||
| # | City | Drinks | ||
| 1 | ๐ฆ๐ท Mendoza | 72% | ||
| 2 | ๐ฆ๐ท Bariloche | 66% | ||
| 3 | ๐ต๐ญ Boracay | 65% | ||
| 4 | ๐ฆ๐ท Cordoba | 65% | ||
| 5 | ๐จ๐บ Havana | 65% | ||
| 6 | ๐ญ๐ท Dubrovnik | 65% | ||
| 7 | ๐ป๐ณ Hue | 65% | ||
| 8 | ๐ฎ๐ช Dublin | 65% | ||
| 9 | ๐จ๐ด Santa Marta | 65% | ||
| 10 | ๐บ๐พ Montevideo | 65% | ||
| 11 | ๐ฒ๐ฝ Isla Mujeres | 64% | ||
| 12 | ๐ฌ๐ง Manchester | 64% | ||
| 13 | ๐ฎ๐น Florence | 64% | ||
| 14 | ๐ช๐จ Quito | 64% | ||
| 15 | ๐ฉ๐ช Cologne | 64% | ||
| 16 | ๐ต๐ท San Juan | 64% | ||
| 17 | ๐ญ๐ท Split | 64% | ||
| 18 | ๐ฒ๐ฝ Cancun | 64% | ||
| 19 | ๐ป๐ฆ Vatican City | 64% | ||
| 20 | ๐ณ๐ฟ Queenstown | 64% | ||
| 21 | ๐ช๐ธ Seville | 64% | ||
| 22 | ๐ฌ๐ท Chania | 64% | ||
| 23 | ๐ฒ๐ฝ Guadalajara | 63% | ||
| 24 | ๐ฌ๐น Antigua | 63% | ||
| 25 | ๐ฎ๐ธ Reykjavik | 63% | ||
| 26 | ๐ญ๐ท Zadar | 63% | ||
| 27 | ๐ต๐น Faro | 63% | ||
| 28 | ๐ฌ๐ท Santorini | 63% | ||
| 29 | ๐ง๐ธ Nassau | 63% | ||
| 30 | ๐ช๐ธ Fuerteventura | 63% | Share of visiting nomads who like alcoholn=149,146 nomads | |
๐ฑ Most sober visitors | ||||
| # | City | Drinks | ||
| 1 | ๐จ๐ณ Shenzhen | 48% | ||
| 2 | ๐ต๐น Portimรฃo | 50% | ||
| 3 | ๐บ๐ธ Honolulu | 51% | ||
| 4 | ๐ณ๐ฑ Utrecht | 51% | ||
| 5 | ๐น๐ณ Tunis | 51% | ||
| 6 | ๐ท๐บ Moscow | 51% | ||
| 7 | ๐ฎ๐ณ Bengaluru | 52% | ||
| 8 | ๐จ๐ณ Guangzhou | 52% | ||
| 9 | ๐ฆ๐ช Abu Dhabi | 52% | ||
| 10 | ๐ฒ๐ช Podgorica | 52% | ||
| 11 | ๐ฎ๐ฉ Jakarta | 52% | ||
| 12 | ๐บ๐ธ Portland | 52% | ||
| 13 | ๐ฒ๐ฉ Chisinau | 52% | ||
| 14 | ๐ฎ๐ฉ Ubud | 52% | ||
| 15 | ๐ด๐ฒ Muscat | 53% | ||
| 16 | ๐ง๐พ Minsk | 53% | ||
| 17 | ๐ฉ๐ช Stuttgart | 53% | ||
| 18 | ๐ฆ๐ช Dubai | 53% | ||
| 19 | ๐ฎ๐ฉ Sanur | 53% | ||
| 20 | ๐ท๐ด Timisoara | 53% | ||
| 21 | ๐ฐ๐ท Seoul | 53% | ||
| 22 | ๐บ๐ธ Austin | 53% | ||
| 23 | ๐ฎ๐ฉ Yogyakarta | 54% | ||
| 24 | ๐ธ๐ป San Salvador | 54% | ||
| 25 | ๐จ๐ณ Shanghai | 54% | ||
| 26 | ๐ณ๐ต Pokhara | 54% | ||
| 27 | ๐จ๐ญ Geneva | 54% | ||
| 28 | ๐ต๐ญ Manila | 54% | ||
| 29 | ๐ฐ๐ท Busan | 54% | ||
| 30 | ๐บ๐ธ Dallas | 54% | Share of visiting nomads who like alcoholn=149,146 nomads | |
Share of the visiting nomads who travel to each city who list partying among their likes (of those who shared any lifestyle likes).
๐ Biggest partiers | ||||
| # | City | Parties | ||
| 1 | ๐ช๐ธ Ibiza | 28% | ||
| 2 | ๐ฌ๐ท Mykonos | 26% | ||
| 3 | ๐ญ๐ท Hvar | 24% | ||
| 4 | ๐ง๐ท Rio de Janeiro | 22% | ||
| 5 | ๐ฒ๐ฆ Tangier | 22% | ||
| 6 | ๐ฌ๐น Guatemala City | 22% | ||
| 7 | ๐ญ๐ท Split | 21% | ||
| 8 | ๐จ๐ด Santa Marta | 21% | ||
| 9 | ๐จ๐ด Cartagena | 21% | ||
| 10 | ๐จ๐บ Havana | 21% | ||
| 11 | ๐น๐ญ Ko Pha Ngan | 21% | ||
| 12 | ๐น๐ญ Pattaya | 21% | ||
| 13 | ๐ง๐ท Salvador | 21% | ||
| 14 | ๐น๐ญ Ko Tao | 21% | ||
| 15 | ๐ฎ๐ณ Goa | 21% | ||
| 16 | ๐น๐ญ Ko Phi Phi | 21% | ||
| 17 | ๐ฒ๐ฝ Tulum | 21% | ||
| 18 | ๐จ๐ด Bogota | 20% | ||
| 19 | ๐ฎ๐ฉ Seminyak | 20% | ||
| 20 | ๐ฒ๐ฆ Fes | 20% | ||
| 21 | ๐ฑ๐ฐ Colombo | 20% | ||
| 22 | ๐ฎ๐ณ Mumbai | 20% | ||
| 23 | ๐จ๐ฆ Montreal | 20% | ||
| 24 | ๐ฒ๐จ Monaco | 20% | ||
| 25 | ๐ฒ๐ฝ Playa del Carmen | 20% | ||
| 26 | ๐จ๐ด Medellรญn | 20% | ||
| 27 | ๐ฒ๐ฝ Cabo San Lucas | 20% | ||
| 28 | ๐ฎ๐ฉ Denpasar | 20% | ||
| 29 | ๐ฆ๐ท Bariloche | 20% | ||
| 30 | ๐ฎ๐ฉ Gili Air | 20% | Share of visiting nomads who like partyingn=149,146 nomads | |
๐ด Quietest visitors | ||||
| # | City | Parties | ||
| 1 | ๐ฉ๐ช Hamburg | 10% | ||
| 2 | ๐ท๐ธ Novi Sad | 11% | ||
| 3 | ๐ธ๐ช Malmรถ | 11% | ||
| 4 | ๐ฎ๐ฉ Sanur | 11% | ||
| 5 | ๐ต๐ฑ Wrocลaw | 11% | ||
| 6 | ๐บ๐ธ Dallas | 11% | ||
| 7 | ๐จ๐ณ Chengdu | 12% | ||
| 8 | ๐ฆ๐ฒ Yerevan | 12% | ||
| 9 | ๐ง๐พ Minsk | 12% | ||
| 10 | ๐ง๐ช Antwerp | 12% | ||
| 11 | ๐ฎ๐น Verona | 12% | ||
| 12 | ๐ฐ๐ฌ Bishkek | 12% | ||
| 13 | ๐ฑ๐ฐ Weligama | 12% | ||
| 14 | ๐ฒ๐ฆ Essaouira | 12% | ||
| 15 | ๐บ๐ฟ Tashkent | 12% | ||
| 16 | ๐ธ๐ช Gothenburg | 13% | ||
| 17 | ๐ฑ๐ฐ Galle | 13% | ||
| 18 | ๐ฌ๐ง Glasgow | 13% | ||
| 19 | ๐น๐ญ Chiang Rai | 13% | ||
| 20 | ๐ฌ๐ช Tbilisi | 13% | ||
| 21 | ๐บ๐ธ Denver | 13% | ||
| 22 | ๐ณ๐ด Bergen | 13% | ||
| 23 | ๐ฎ๐ฑ Jerusalem | 13% | ||
| 24 | ๐ด๐ฒ Muscat | 13% | ||
| 25 | ๐ง๐ฌ Plovdiv | 13% | ||
| 26 | ๐ต๐พ Asuncion | 13% | ||
| 27 | ๐บ๐ธ Houston | 13% | ||
| 28 | ๐ฒ๐ฝ San Miguel de Allende | 13% | ||
| 29 | ๐ฎ๐น Pisa | 14% | ||
| 30 | ๐ฒ๐ป Male | 14% | Share of visiting nomads who like partyingn=149,146 nomads | |
Share of the visiting nomads who travel to each city who say they’re single (of those who shared their relationship status).
๐ Most single visitors | ||||
| # | City | Single | ||
| 1 | ๐จ๐ด Medellรญn | 79% | ||
| 2 | ๐ต๐ญ Cebu | 77% | ||
| 3 | ๐ช๐จ Quito | 75% | ||
| 4 | ๐ง๐ท Rio de Janeiro | 75% | ||
| 5 | ๐ฐ๐ช Nairobi | 74% | ||
| 6 | ๐ช๐ธ Ibiza | 74% | ||
| 7 | ๐ต๐ฆ Panama City | 74% | ||
| 8 | ๐จ๐ด Cartagena | 74% | ||
| 9 | ๐ฌ๐น Antigua | 74% | ||
| 10 | ๐ฒ๐ฝ Puerto Escondido | 74% | ||
| 11 | ๐ฆ๐ท Buenos Aires | 73% | ||
| 12 | ๐ช๐ฌ Cairo | 73% | ||
| 13 | ๐จ๐ท San Josรฉ | 73% | ||
| 14 | ๐ง๐ท Florianopolis | 73% | ||
| 15 | ๐ง๐ฌ Bansko | 73% | ||
| 16 | ๐ฏ๐ต Fukuoka | 73% | ||
| 17 | ๐ต๐ช Lima | 73% | ||
| 18 | ๐ฏ๐ด Amman | 72% | ||
| 19 | ๐ต๐ญ Manila | 72% | ||
| 20 | ๐ช๐ธ Valencia | 72% | ||
| 21 | ๐น๐ผ Taipei | 72% | ||
| 22 | ๐ฎ๐ฉ Canggu | 72% | ||
| 23 | ๐ฒ๐ฝ Mexico City | 72% | ||
| 24 | ๐ต๐ช Cusco | 72% | ||
| 25 | ๐ง๐ท Sรฃo Paulo | 72% | ||
| 26 | ๐ช๐ธ Gran Canaria | 72% | ||
| 27 | ๐ฆ๐ฑ Tirana | 72% | ||
| 28 | ๐ฒ๐ฝ Playa del Carmen | 72% | ||
| 29 | ๐ต๐พ Asuncion | 72% | ||
| 30 | ๐ญ๐ท Zagreb | 72% | Share of visiting nomads who are singlen=69,559 nomads | |
๐ Most coupled-up visitors | ||||
| # | City | Single | ||
| 1 | ๐น๐ญ Ko Phi Phi | 58% | ||
| 2 | ๐จ๐พ Larnaca | 60% | ||
| 3 | ๐ฑ๐ฐ Colombo | 60% | ||
| 4 | ๐ป๐ฆ Vatican City | 61% | ||
| 5 | ๐ฒ๐พ Penang | 61% | ||
| 6 | ๐ฆ๐น Salzburg | 61% | ||
| 7 | ๐บ๐ธ Seattle | 61% | ||
| 8 | ๐ฉ๐ช Frankfurt | 61% | ||
| 9 | ๐น๐ญ Krabi | 62% | ||
| 10 | ๐ท๐บ Moscow | 62% | ||
| 11 | ๐ณ๐ด Oslo | 62% | ||
| 12 | ๐ง๐ช Bruges | 62% | ||
| 13 | ๐ฆ๐ช Abu Dhabi | 62% | ||
| 14 | ๐น๐ญ Ko Lanta | 62% | ||
| 15 | ๐จ๐บ Havana | 62% | ||
| 16 | ๐ฐ๐ฟ Almaty | 63% | ||
| 17 | ๐บ๐ธ Orlando | 63% | ||
| 18 | ๐น๐ท Antalya | 63% | ||
| 19 | ๐ฒ๐น Sliema | 63% | ||
| 20 | ๐ญ๐ฐ Hong Kong | 63% | ||
| 21 | ๐ท๐บ Saint Petersburg | 63% | ||
| 22 | ๐บ๐ธ Las Vegas | 63% | ||
| 23 | ๐บ๐ธ Los Angeles | 63% | ||
| 24 | ๐ซ๐ท Paris | 63% | ||
| 25 | ๐จ๐ฆ Vancouver | 64% | ||
| 26 | ๐ฌ๐ช Tbilisi | 64% | ||
| 27 | ๐ฎ๐น Milan | 64% | ||
| 28 | ๐ง๐ช Brussels | 64% | ||
| 29 | ๐ซ๐ท Lyon | 64% | ||
| 30 | ๐ฉ๐ช Cologne | 64% | Share of visiting nomads who are singlen=69,559 nomads | |
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.
๐ Most attractive, rich & educated | ||||
| # | City | Score | ||
| 1 | ๐บ๐ธ Boston | 88% | ||
| 2 | ๐จ๐ญ Zurich | 88% | ||
| 3 | ๐จ๐ญ Geneva | 87% | ||
| 4 | ๐ฟ๐ฆ Cape Town | 80% | ||
| 5 | ๐ฒ๐ฆ Marrakesh | 77% | ||
| 6 | ๐ฎ๐น Palermo | 77% | ||
| 7 | ๐บ๐ธ New York City | 77% | ||
| 8 | ๐จ๐ฆ Montreal | 76% | ||
| 9 | ๐ฎ๐ธ Reykjavik | 74% | ||
| 10 | ๐ฎ๐น Naples | 74% | ||
| 11 | ๐ณ๐ด Oslo | 72% | ||
| 12 | ๐ง๐ท Rio de Janeiro | 71% | ||
| 13 | ๐ต๐น Lisbon | 68% | ||
| 14 | ๐ธ๐ฎ Ljubljana | 68% | ||
| 15 | ๐ฒ๐ฝ Tulum | 68% | ||
| 16 | ๐ธ๐ช Stockholm | 67% | ||
| 17 | ๐บ๐ธ Austin | 67% | ||
| 18 | ๐ฑ๐บ Luxembourg | 67% | ||
| 19 | ๐ฉ๐ช Munich | 66% | ||
| 20 | ๐ฎ๐ฑ Tel Aviv | 66% | ||
| 21 | ๐ง๐ท Florianopolis | 64% | ||
| 22 | ๐ฒ๐ฝ Playa del Carmen | 64% | ||
| 23 | ๐ช๐ธ Gran Canaria | 64% | ||
| 24 | ๐ฆ๐บ Sydney | 64% | ||
| 25 | ๐ต๐น Madeira | 64% | ||
| 26 | ๐บ๐ธ Miami | 63% | ||
| 27 | ๐ฉ๐ฐ Copenhagen | 63% | ||
| 28 | ๐ช๐ธ Mallorca | 63% | ||
| 29 | ๐ง๐ท Sรฃo Paulo | 62% | ||
| 30 | ๐ฉ๐ช Hamburg | 62% | Blend of attractiveness, income & education of visiting nomadsn=45,875 nomads | |
๐๏ธ Least attractive, lowest income & least educated | ||||
| # | City | Score | ||
| 1 | ๐น๐ญ Pattaya | 3% | ||
| 2 | ๐ป๐ณ Da Nang | 6% | ||
| 3 | ๐ฑ๐ฐ Colombo | 8% | ||
| 4 | ๐ฎ๐ฉ Jakarta | 8% | ||
| 5 | ๐ต๐ญ Cebu | 13% | ||
| 6 | ๐น๐ญ Krabi | 13% | ||
| 7 | ๐ป๐ณ Hanoi | 14% | ||
| 8 | ๐ฒ๐พ Kuala Lumpur | 14% | ||
| 9 | ๐ต๐ญ Manila | 15% | ||
| 10 | ๐ฐ๐ญ Phnom Penh | 17% | ||
| 11 | ๐ป๐ณ Ho Chi Minh City | 18% | ||
| 12 | ๐ฏ๐ต Osaka | 18% | ||
| 13 | ๐บ๐พ Montevideo | 18% | ||
| 14 | ๐ฎ๐ฉ Seminyak | 19% | ||
| 15 | ๐น๐ญ Phuket | 20% | ||
| 16 | ๐ฆ๐ฑ Tirana | 21% | ||
| 17 | ๐ฐ๐ญ Siem Reap | 23% | ||
| 18 | ๐ป๐ณ Hoi An | 25% | ||
| 19 | ๐ท๐ธ Belgrade | 26% | ||
| 20 | ๐ฐ๐ท Busan | 26% | ||
| 21 | ๐น๐ผ Taipei | 27% | ||
| 22 | ๐ฐ๐ฟ Almaty | 27% | ||
| 23 | ๐น๐ญ Bangkok | 27% | ||
| 24 | ๐ฏ๐ต Fukuoka | 27% | ||
| 25 | ๐ต๐พ Asuncion | 27% | ||
| 26 | ๐ต๐ช Cusco | 29% | ||
| 27 | ๐ฒ๐พ Penang | 31% | ||
| 28 | ๐ญ๐บ Budapest | 31% | ||
| 29 | ๐ช๐จ Quito | 31% | ||
| 30 | ๐น๐ญ Chiang Mai | 31% | Blend of attractiveness, income & education of visiting nomadsn=45,875 nomads | |
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