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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 |
5%
|
|||
| 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=991 | ||
โณ๏ธ Nomads by nationality |
||||
| # | Country | People | % | |
| 1 | ๐บ๐ธ United States | 55,997,991 | 42% | |
| 2 | ๐ฌ๐ง United Kingdom | 9,091,518 | 7% | |
| 3 | ๐จ๐ฆ Canada | 6,092,996 | 5% | |
| 4 | ๐ท๐บ Russia | 5,857,912 | 4% | |
| 5 | ๐ฉ๐ช Germany | 5,546,066 | 4% | |
| 6 | ๐ซ๐ท France | 4,634,515 | 4% | |
| 7 | ๐ง๐ท Brazil | 3,555,047 | 3% | |
| 8 | ๐ฆ๐บ Australia | 3,113,665 | 2% | |
| 9 | ๐ณ๐ฑ Netherlands | 2,451,591 | 2% | |
| 10 | ๐ช๐ธ Spain | 2,437,198 | 2% | |
| 11 | ๐ฎ๐ณ India | 2,283,674 | 2% | |
| 12 | ๐ฎ๐น Italy | 1,928,649 | 1% | |
| 13 | ๐บ๐ฆ Ukraine | 1,919,054 | 1% | |
| 14 | ๐ต๐ฑ Poland | 1,592,815 | 1% | |
| 15 | ๐จ๐ญ Switzerland | 1,357,731 | 1% | |
| 16 | ๐ฆ๐น Austria | 1,017,099 | 1% | |
| 17 | ๐น๐ท Turkey | 993,110 | 1% | |
| 18 | ๐ฏ๐ต Japan | 954,729 | 1% | |
| 19 | ๐ธ๐ช Sweden | 935,539 | 1% | |
| 20 | ๐ฎ๐ช Ireland | 921,146 | 1% | |
| 21 | ๐ฎ๐ฑ Israel | 825,193 | 1% | |
| 22 | ๐ง๐ช Belgium | 815,598 | 1% | |
| 23 | ๐ฐ๐ท South Korea | 767,622 | 1% | |
| 24 | ๐จ๐ฟ Czechia | 758,026 | 1% | |
| 25 | ๐ฆ๐ท Argentina | 714,848 | 1% | |
| 26 | ๐ฟ๐ฆ South Africa | 710,050 | 1% | |
| 27 | ๐ต๐น Portugal | 700,455 | 1% | |
| 28 | ๐ฒ๐ฝ Mexico | 700,455 | 1% | |
| 29 | ๐ท๐ด Romania | 666,871 | 1% | |
| 30 | ๐จ๐ณ China | 633,288 | 0% | n=27,590 |
๐ถ Nomads by gender |
||||
| Gender | % | |||
| ๐จโ Men |
65%
|
|||
| ๐ฑโโ๏ธ Women |
35%
|
|||
| ๐ง Other |
0%
|
active last 365d, n=11,542 | ||
๐ Nomads by sexuality |
||||
| Sexuality | % | |||
| ๐ Heterosexual |
87%
|
|||
| ๐ฆ Bisexual |
8%
|
|||
| ๐ณ๏ธโ๐ Gay or lesbian |
5%
|
n=17,239 | ||
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=9,051 | ||
โ Nomads by ethnicity |
||||
| Ethnicity | % | |||
| โ๐ป White |
59%
|
|||
| โ๐พ Non-white |
41%
|
|||
| โฑโ๐ผ Asian |
14%
|
|||
| โฑโ๐ฝ Latin |
12%
|
|||
| โฑโ๐ฟ Black |
7%
|
|||
| โฑโ๐ฝ Indian |
5%
|
|||
| โฑโ๐พ Middle Eastern |
3%
|
|||
| โฑโ๐ฝ Pacific |
1%
|
n=8,202 | ||
๐ Education |
||||
| Education | % | |||
| ๐ High School |
10%
|
|||
| ๐ Higher education |
90%
|
|||
| โฑ๐ Bachelor's |
53%
|
|||
| โฑ๐ Master's |
34%
|
|||
| โฑ๐ฉโ๐ซ PhD |
3%
|
n=18,868 | ||
โค๏ธ Nomads by relationship |
||||
| Relationship | % | |||
| ๐ Single |
68%
|
|||
| ๐ In a relationship |
32%
|
n=10,702 | ||
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=63,526 | ||
๐ฐ Nomads by income |
||||
| Income | % | |||
| < $25k / y |
6%
|
|||
| $25k - $50k / y |
15%
|
|||
| $50k - $100k / y |
33%
|
|||
| $100k - $250k / y |
35%
|
|||
| > $250k - $1M / y |
9%
|
|||
| > $1M / y |
2%
|
|||
| Average | $124,737 / y | |||
| Median | $85,000 / y | n=5,651 | ||
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=7,231 | ||
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=6,033 | ||
๐ฌ What messaging apps nomads use? |
||||
| Messaging app | % | |||
| Telegram |
50%
|
|||
|
44%
|
||||
| Snapchat |
3%
|
|||
|
2%
|
||||
|
0%
|
||||
| LINE |
0%
|
|||
| Slack |
0%
|
n=5,950 | ||
โ๏ธ Nomad men by politics |
||||
| Politics | % | |||
| ๐ณ๏ธโ๐ Progressive |
45%
|
|||
| โ๏ธ Non-progressive |
55%
|
|||
| โฑ๐ฝ Libertarian |
27%
|
|||
| โฑโ๏ธ Centrist |
21%
|
|||
| โฑ๐ด Conservative |
7%
|
n=3,732 | ||
โ๏ธ Nomad women by politics |
||||
| Politics | % | |||
| ๐ณ๏ธโ๐ Progressive |
71%
|
|||
| โ๏ธ Non-progressive |
29%
|
|||
| โฑ๐ฝ Libertarian |
13%
|
|||
| โฑโ๏ธ Centrist |
12%
|
|||
| โฑ๐ด Conservative |
3%
|
n=919 | ||
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%
|
|||
| โฑ๐ฅ Vegan |
10%
|
|||
| โฑ๐ฅ Vegetarian |
10%
|
|||
| โฑ๐ Pescetarian |
4%
|
n=5,854 | ||
๐ Nomad women by diet |
||||
| Diet | % | |||
| ๐ฅฉ Eats meat |
58%
|
|||
| ๐ซ Does not eat meat |
42%
|
|||
| โฑ๐ฅ Vegetarian |
18%
|
|||
| โฑ๐ฅ Vegan |
14%
|
|||
| โฑ๐ Pescetarian |
10%
|
n=1,329 | ||
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%
|
|||
| ๐ Snowboarding |
15%
|
|||
| โฐ Climbing |
15%
|
|||
| โท Skiing |
15%
|
|||
| ๐พ Tennis |
14%
|
|||
| ๐ Motorcycling |
13%
|
|||
| ๐ช Fight sports |
11%
|
|||
| ๐ Table tennis |
9%
|
n=11,341 | ||
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=2,825 | ||
๐ฏ๐ต Tokyo
๐ต๐น Ericeira
๐บ๐ธ Chicago
๐ต๐น Portimรฃo
๐ง๐ฌ Varna
๐ฎ๐ธ Reykjavik
๐ Most liked cities by men |
||||
| # | City | Rating | ||
| 1 | ๐ฒ๐พ Kuala Lumpur | 4.50 | ||
| 2 | ๐ฏ๐ต Tokyo | 4.38 | ||
| 3 | ๐ญ๐บ Budapest | 4.38 | ||
| 4 | ๐น๐ญ Chiang Mai | 4.29 | ||
| 5 | ๐ฒ๐ฝ Mexico City | 4.29 | ||
| 6 | ๐ช๐ธ Madrid | 4.29 | ||
| 7 | ๐ต๐ฑ Krakรณw | 4.17 | ||
| 8 | ๐ฏ๐ต Osaka | 4.17 | ||
| 9 | ๐ฌ๐น Antigua | 4.17 | ||
| 10 | ๐ธ๐ฌ Singapore | 4.17 | ||
| 11 | ๐จ๐ฟ Prague | 4.17 | ||
| 12 | ๐ณ๐ฑ Amsterdam | 4.17 | ||
| 13 | ๐น๐ญ Bangkok | 4.12 | ||
| 14 | ๐บ๐ธ New York City | 4.00 | ||
| 15 | ๐ฎ๐ฉ Ubud | 4.00 | n=6,789 | |
๐ Most liked cities by women |
||||
| # | City | Rating | ||
| 1 | ๐จ๐ด Medellรญn | 3.75 | ||
| 2 | ๐ฒ๐ฝ Mexico City | 3.33 | n=6,789 | |
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 | 0.83% | ||
| 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=424,490 | |
๐ Most visited countries |
||||
| # | Country | % visited | ||
| 1 | ๐บ๐ธ United States | 13% | ||
| 2 | ๐น๐ญ Thailand | 5% | ||
| 3 | ๐ช๐ธ Spain | 5% | ||
| 4 | ๐ฌ๐ง United Kingdom | 4% | ||
| 5 | ๐ฉ๐ช Germany | 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 | ๐ฆ๐บ Australia | 1% | ||
| 21 | ๐ฒ๐พ Malaysia | 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=424,490 | |
๐ Avg. COโ by member traveling |
||||
| Year | COโ | |||
| 2013 |
676 kg/y
|
|||
| 2014 |
985 kg/y
|
|||
| 2015 |
1,076 kg/y
|
|||
| 2016 |
1,287 kg/y
|
|||
| 2017 |
1,466 kg/y
|
|||
| 2018 |
1,543 kg/y
|
|||
| 2019 |
1,578 kg/y
|
|||
| 2020 |
993 kg/y
|
|||
| 2021 |
1,002 kg/y
|
|||
| 2022 |
1,573 kg/y
|
|||
| 2023 |
1,732 kg/y
|
|||
| 2024 |
1,698 kg/y
|
|||
| 2025 |
1,611 kg/y
|
|||
| 2026 |
1,758 kg/y
|
|||
| Average | 1,310 kg/y | |||
| Median | 1,376 kg/y |
Based on 424,490 trips by 16,134 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 | -22% | ||
| 5 | ๐ซ๐ท Paris | -21% | ||
| 6 | ๐น๐ญ Chiang Mai | -4% | ||
| 7 | ๐ณ๐ฑ Amsterdam | +4% | ||
| 8 | ๐ฉ๐ช Berlin | -4% | ||
| 9 | ๐ฎ๐ฉ Canggu | -1% | ||
| 10 | ๐ฏ๐ต Tokyo | +14% | ||
| 11 | ๐น๐ท Istanbul | +8% | ||
| 12 | ๐ธ๐ฌ Singapore | +14% | ||
| 13 | ๐ฒ๐พ Kuala Lumpur | +26% | ||
| 14 | ๐ฒ๐ฝ Mexico City | -20% | ||
| 15 | ๐ญ๐บ Budapest | +19% | median temp=18ยฐC; n=424,490 | |
๐ฑโโ๏ธ Where women go most |
||||
| # | Tag | vs. ๐จ | ||
| 1 | ๐ต๐น Lisbon | +19% | ||
| 2 | ๐ฌ๐ง London | +28% | ||
| 3 | ๐น๐ญ Bangkok | -18% | ||
| 4 | ๐ช๐ธ Barcelona | +12% | ||
| 5 | ๐ซ๐ท Paris | +27% | ||
| 6 | ๐น๐ญ Chiang Mai | +4% | ||
| 7 | ๐ฉ๐ช Berlin | +4% | ||
| 8 | ๐ฒ๐ฝ Mexico City | +24% | ||
| 9 | ๐ณ๐ฑ Amsterdam | -4% | ||
| 10 | ๐ฎ๐ฉ Canggu | +1% | ||
| 11 | ๐ฎ๐น Rome | +26% | ||
| 12 | ๐น๐ท Istanbul | -7% | ||
| 13 | ๐ฎ๐ฉ Ubud | +30% | ||
| 14 | ๐ฏ๐ต Tokyo | -12% | ||
| 15 | ๐ฆ๐ท Buenos Aires | +8% | median temp=18ยฐC; n=424,490 | |
๐จ Where men go more |
||||
| # | Tag | vs. women | ||
| 1 | ๐ท๐บ Russia | +82% | ||
| 2 | ๐ต๐ฑ Poland | +66% | ||
| 3 | ๐ท๐ด Romania | +53% | ||
| 4 | ๐ฌ๐ช Georgia | +45% | ||
| 5 | ๐ญ๐ฐ Hong Kong | +32% | ||
| 6 | ๐ต๐ญ Philippines | +32% | ||
| 7 | ๐ท๐ธ Serbia | +26% | ||
| 8 | ๐ฆ๐ช United Arab Emirates | +25% | ||
| 9 | ๐จ๐ฟ Czechia | +25% | ||
| 10 | ๐จ๐ณ China | +24% | ||
| 11 | ๐ฏ๐ต Japan | +22% | ||
| 12 | ๐ณ๐ด Norway | +21% | ||
| 13 | ๐ป๐ณ Vietnam | +19% | ||
| 14 | ๐ญ๐บ Hungary | +19% | ||
| 15 | ๐ฒ๐พ Malaysia | +17% | median temp=13ยฐC; n=424,490 | |
๐ฑโโ๏ธ Where women go more |
||||
| # | Tag | vs. men | ||
| 1 | ๐ฟ๐ฆ South Africa | +50% | ||
| 2 | ๐จ๐ท Costa Rica | +47% | ||
| 3 | ๐ฒ๐ฝ Mexico | +36% | ||
| 4 | ๐ฌ๐ง United Kingdom | +30% | ||
| 5 | ๐ญ๐ท Croatia | +24% | ||
| 6 | ๐จ๐ฑ Chile | +24% | ||
| 7 | ๐ซ๐ท France | +21% | ||
| 8 | ๐ฎ๐น Italy | +18% | ||
| 9 | ๐ฌ๐ท Greece | +13% | ||
| 10 | ๐ต๐น Portugal | +13% | ||
| 11 | ๐ฆ๐บ Australia | +12% | ||
| 12 | ๐ฎ๐ช Ireland | +9% | ||
| 13 | ๐ต๐ช Peru | +8% | ||
| 14 | ๐ช๐ธ Spain | +7% | ||
| 15 | ๐ฆ๐ท Argentina | +7% | median temp=18ยฐC; n=424,490 | |
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 | 4.45 | ||
| 7 | ๐ฐ๐ท South Korea | 4.4 | ||
| 8 | ๐จ๐ญ Switzerland | 4.4 | ||
| 9 | ๐ฌ๐น Guatemala | 4.3 | ||
| 10 | ๐ฐ๐ฟ Kazakhstan | 4.3 | ||
| 11 | ๐ฟ๐ฆ South Africa | 4.25 | ||
| 12 | ๐ช๐ช Estonia | 4.25 | ||
| 13 | ๐ฑ๐น Lithuania | 4.25 | ||
| 14 | ๐ท๐บ Russia | 4.25 | ||
| 15 | ๐ฌ๐ท Greece | 4.2 | n=4,023 | |
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 | ๐ฒ๐ฉ Moldova | 2 | ||
| 7 | ๐ฒ๐น Malta | 2.15 | ||
| 8 | ๐จ๐ฑ Chile | 2.25 | ||
| 9 | ๐ฑ๐ฐ Sri Lanka | 2.35 | ||
| 10 | ๐ธ๐ด Somalia | 2.5 | ||
| 11 | ๐ช๐น Ethiopia | 2.5 | ||
| 12 | ๐น๐ฟ Tanzania | 2.5 | ||
| 13 | ๐ธ๐ณ Senegal | 2.5 | ||
| 14 | ๐ฑ๐บ Luxembourg | 2.5 | ||
| 15 | ๐ด Kurdistan | 2.5 | n=4,023 | |
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=413,798 | ||
๐ก How long do nomads stay in one country? |
||||
| Duration | % | |||
| < 7 days |
0%
|
|||
| 7 - 30 days |
59%
|
|||
| 30 - 90 days |
28%
|
|||
| 90+ days |
14%
|
|||
| Average | 132 days (4 months) | n=413,798 | ||
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% | +322% | |
| 2 | ๐ Startup Founder | 26% | +174% | |
| 3 | ๐ธ Web Dev | 26% | +349% | |
| 4 | ๐ Marketing | 15% | +21% | |
| 5 | ๐ SaaS | 13% | +257% | |
| 6 | ๐ฉโ๐จ Creative | 12% | +2% | |
| 7 | ๐จ UI/UX Design | 11% | +72% | |
| 8 | ๐ค Product Manager | 10% | +112% | |
| 9 | ๐ฑ Mobile Dev | 10% | +440% | |
| 10 | ๐ฐ Crypto | 10% | +352% | |
| 11 | ๐ Data | 10% | +142% | |
| 12 | ๐ฐ Finance | 9% | +173% | |
| 13 | ๐ Ecommerce | 8% | +149% | |
| 14 | ๐ค Sales | 7% | +117% | |
| 15 | ๐จโ๐ซ Education | 6% | +4% | n=23,262 |
๐ฑโโ๏ธ Nomad women work as |
||||
| # | Work | % | vs. men | |
| 1 | ๐ Marketing | 12% | -17% | |
| 2 | ๐ฉโ๐จ Creative | 11% | -2% | |
| 3 | ๐ Startup Founder | 10% | -64% | |
| 4 | ๐ป Software Dev | 8% | -76% | |
| 5 | ๐จ UI/UX Design | 6% | -42% | |
| 6 | ๐ค Community | 6% | +6% | |
| 7 | ๐ธ Web Dev | 6% | -78% | |
| 8 | ๐จโ๐ซ Education | 6% | -4% | |
| 9 | ๐ Blogging | 5% | -1% | |
| 10 | ๐ Coach | 5% | +1% | |
| 11 | ๐ค Product Manager | 5% | -53% | |
| 12 | ๐ Data | 4% | -59% | |
| 13 | ๐ SaaS | 4% | -72% | |
| 14 | ๐ฐ Finance | 3% | -63% | |
| 15 | ๐ค Sales | 3% | -54% | n=8,957 |
๐จ Nomad men vs. women |
||||
| # | Tag | vs. women | ||
| 1 | ๐ก Sysadmin | +473% | ||
| 2 | ๐ฑ Mobile Dev | +440% | ||
| 3 | ๐ Dev Ops | +439% | ||
| 4 | ๐พ Game Dev | +388% | ||
| 5 | ๐ฐ Crypto | +352% | ||
| 6 | ๐ธ Web Dev | +349% | ||
| 7 | ๐ป Software Dev | +322% | ||
| 8 | ๐ SaaS | +257% | ||
| 9 | ๐ VR Dev | +240% | ||
| 10 | ๐ Investor | +208% | ||
| 11 | ๐ช Military | +208% | ||
| 12 | ๐ก๏ธ InfoSec | +199% | ||
| 13 | ๐ Startup Founder | +174% | ||
| 14 | ๐ฐ Finance | +173% | ||
| 15 | ๐บ Geo | +170% | n=29,740 | |
๐ฑโโ๏ธ Nomad women vs. men |
||||
| # | Tag | vs. men | ||
| 1 | ๐ธ House wife | +290% | ||
| 2 | ๐ Tradwife | +160% | ||
| 3 | ๐ฅ Healthcare | +56% | ||
| 4 | ๐ Student | +56% | ||
| 5 | ๐งโ๐ผ Human resources | +50% | ||
| 6 | ๐ณ Chef | +44% | ||
| 7 | ๐พ Farm life | +42% | ||
| 8 | ๐น Content Creator | +36% | ||
| 9 | ๐จ Stay-at-home dad | +30% | ||
| 10 | ๐ฐ Journalism | +27% | ||
| 11 | ๐ง Psychologist | +26% | ||
| 12 | ๐จ Artist | +23% | ||
| 13 | ๐ Support | +18% | ||
| 14 | ๐จโโ๏ธ Medical | +7% | ||
| 15 | ๐ Hospitality | +6% | n=29,740 | |
โ๏ธ Coffee
๐ฌ๐ง Speaks English
๐ Optimist
โฐ Outdoors
๐ฅพ Hiking
๐ COVID vaccinated
๐จโ Nomad men |
||||
| # | Tag | % | vs. ๐ฑโโ๏ธ | |
| 1 | โ๏ธ Coffee | 37% | +61% | |
| 2 | ๐ฌ๐ง Speaks English | 31% | +50% | |
| 3 | ๐ Optimist | 30% | +61% | |
| 4 | ๐ช Fitness | 25% | +86% | |
| 5 | โฐ Outdoors | 24% | +33% | |
| 6 | ๐ COVID vaccinated | 24% | +51% | |
| 7 | ๐ฅพ Hiking | 24% | +47% | |
| 8 | ๐ Single | 24% | +62% | |
| 9 | ๐ถ Dogs | 24% | +35% | |
| 10 | ๐ง Open-minded | 23% | +50% | |
| 11 | โ๏ธ Waking up early | 23% | +60% | |
| 12 | ๐บ Beer | 23% | +182% | |
| 13 | ๐ Staying up late | 22% | +96% | |
| 14 | ๐ Reading | 22% | +36% | |
| 15 | ๐ท Wine | 21% | +27% | n=23,262 |
๐ฑโโ๏ธ Nomad women |
||||
| # | Tag | % | vs. ๐จโ | |
| 1 | โ๏ธ Coffee | 23% | -38% | |
| 2 | ๐ฌ๐ง Speaks English | 21% | -34% | |
| 3 | ๐ Optimist | 18% | -38% | |
| 4 | โฐ Outdoors | 18% | -25% | |
| 5 | ๐ถ Dogs | 17% | -26% | |
| 6 | ๐ท Wine | 16% | -21% | |
| 7 | ๐ฅพ Hiking | 16% | -32% | |
| 8 | ๐ COVID vaccinated | 16% | -34% | |
| 9 | ๐ Reading | 16% | -27% | |
| 10 | ๐ง Open-minded | 15% | -33% | |
| 11 | ๐ต Tea | 15% | -20% | |
| 12 | ๐ Single | 15% | -38% | |
| 13 | ๐คธโโ๏ธ Yoga | 14% | +38% | |
| 14 | โ๏ธ Waking up early | 14% | -37% | |
| 15 | ๐ช Fitness | 13% | -46% | n=8,957 |
๐จ Nomad men vs. women |
||||
| # | Tag | vs. ๐ฑโโ๏ธ | ||
| 1 | ๐ง Have a beard | +1,587% | ||
| 2 | ๐จ No beard | +506% | ||
| 3 | โฝ๏ธ Football | +441% | ||
| 4 | ๐ Ice hockey | +376% | ||
| 5 | ๐งโ Short hair | +326% | ||
| 6 | ๐ช Dropout | +307% | ||
| 7 | ๐ Motorcycling | +292% | ||
| 8 | ๐ Basketball | +281% | ||
| 9 | ๐ Race sports | +277% | ||
| 10 | โ๏ธ Chess | +273% | ||
| 11 | ๐ช Fight sports | +252% | ||
| 12 | ๐ Table tennis | +252% | ||
| 13 | ๐ด Conservative politics | +252% | ||
| 14 | โ๏ธ Private pilot | +226% | ||
| 15 | ๐พ Gaming | +226% | n=29,740 | |
๐ฑโโ๏ธ Nomad women vs. men |
||||
| # | Tag | vs. ๐จ | ||
| 1 | ๐ Makeup | +2,803% | ||
| 2 | ๐คธโโ๏ธ Pilates | +722% | ||
| 3 | ๐ฑโโ๏ธ Long hair | +247% | ||
| 4 | ๐ Dress up | +163% | ||
| 5 | ๐ถ Pottery | +160% | ||
| 6 | โจ Astrology | +156% | ||
| 7 | ๐ช Feminism | +140% | ||
| 8 | ๐ Fashion | +132% | ||
| 9 | ๐ฆพ Disabled | +110% | ||
| 10 | โจ Believe in astrology | +102% | ||
| 11 | ๐ Vintage | +89% | ||
| 12 | ๐ฅ Red hair | +74% | ||
| 13 | ๐จ Drawing | +64% | ||
| 14 | ๐ณ๏ธโ๐ LGBTQ+ | +59% | ||
| 15 | ๐ข Slowmad | +57% | n=29,740 | |
๐ Nomads by vaccination |
||||
| Vaccinated | % | |||
| ๐ COVID vaccinated |
92%
|
|||
| ๐ Not COVID vaccinated |
8%
|
n=8,390 | ||
๐ Vaccination (men) | ||||
| Vaccinated | % | |||
| ๐ Vaccinated | 92% | |||
| ๐ Not vaccinated | 8% | n=6,025 | ||
๐ Vaccination (women) | ||||
| Vaccinated | % | |||
| ๐ Vaccinated | 94% | |||
| ๐ Not vaccinated | 6% | n=1,546 | ||
โค๏ธ Nomads by family |
||||
| Relationship | % | |||
| โค๏ธ Close to parents |
82%
|
|||
| ๐ Not close to parents |
18%
|
n=2,513 | ||
๐ถ Nomads by childhood |
||||
| Childhood | % | |||
| ๐ Happy childhood |
89%
|
|||
| ๐ Unhappy childhood |
11%
|
n=2,702 | ||
๐จ Childhood (men) | ||||
| Childhood | % | |||
| ๐ Happy childhood | 90% | |||
| ๐ Unhappy childhood | 10% | n=1,992 | ||
๐ฉ Childhood (women) | ||||
| Childhood | % | |||
| ๐ Happy childhood | 87% | |||
| ๐ Unhappy childhood | 13% | n=444 | ||
๐ก Homeownership amongst nomads |
||||
| Homeownership | % | |||
| ๐ก Homeowner |
55%
|
|||
| ๐ก Not a homeowner |
45%
|
n=2,912 | ||
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 Running
โฑ Beach
๐ In a relationship
๐ Backpacking
๐ง Open-minded
๐จโ Most attractive men's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ถ Middle child | +421% | ||
| 2 | ๐งโ Short hair | +348% | ||
| 3 | ๐ช Crossfit | +339% | ||
| 4 | ๐ธ Indie rock music | +331% | ||
| 5 | ๐ง House music | +324% | ||
| 6 | ๐ง Have a beard | +294% | ||
| 7 | ๐ง Techno music | +287% | ||
| 8 | ๐จโ๐ค Partying | +282% | ||
| 9 | ๐ง Sauna | +280% | ||
| 10 | ๐ Massage | +270% | ||
| 11 | ๐ฌ Facebook | +267% | ||
| 12 | ๐ฐ Pop music | +260% | ||
| 13 | โค๏ธ My parents are together | +249% | ||
| 14 | โจ๏ธ Hot springs | +241% | ||
| 15 | ๐๏ธโ Weightlifting | +232% | ||
| 16 | ๐ง Hiphop music | +232% | ||
| 17 | โฌ๏ธ Has no tattoos | +224% | ||
| 18 | ๐ iPhone | +208% | ||
| 19 | ๐ก Homeowner | +207% | ||
| 20 | ๐ธ Cocktails | +201% | ||
| 21 | ๐ In a relationship | +198% | ||
| 22 | ๐ Extrovert | +182% | ||
| 23 | ๐ Surfing | +177% | ||
| 24 | ๐งน Tidy | +176% | ||
| 25 | ๐ฅ Soft boiled eggs | +176% | ||
| 26 | โฑ Beach | +173% | ||
| 27 | โท Skiing | +166% | ||
| 28 | โฐ Climbing | +166% | ||
| 29 | ๐ณ๏ธโ๐ Progressive politics | +154% | ||
| 30 | ๐ Running | +150% | n=29,740 | |
๐ฑโโ๏ธ Most attractive women's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ Running | +629% | ||
| 2 | โฑ Beach | +405% | ||
| 3 | ๐ Backpacking | +404% | ||
| 4 | ๐ In a relationship | +346% | ||
| 5 | ๐ง Open-minded | +322% | ||
| 6 | ๐ Dancing | +314% | ||
| 7 | ๐ Movies | +313% | ||
| 8 | ๐ฅพ Hiking | +298% | ||
| 9 | ๐ช Fitness | +273% | ||
| 10 | ๐บ Documentaries | +265% | ||
| 11 | โ๏ธ Waking up early | +253% | ||
| 12 | ๐คธโโ๏ธ Yoga | +252% | ||
| 13 | ๐ถ Dogs | +245% | ||
| 14 | โฐ Outdoors | +230% | ||
| 15 | ๐ฏ Mexican food | +217% | ||
| 16 | ๐ท Wine | +205% | ||
| 17 | ๐ Italian food | +196% | ||
| 18 | ๐ฃ Japanese food | +192% | ||
| 19 | โ๏ธ Coffee | +186% | ||
| 20 | ๐ญ No smoking | +165% | ||
| 21 | ๐ต Tea | +162% | ||
| 22 | ๐ COVID vaccinated | +148% | ||
| 23 | ๐ Reading | +121% | ||
| 24 | ๐ Optimist | +117% | n=29,740 | |
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.
๐ช Feminism
๐จ No beard
โจ Believe in astrology
๐ง Garage music
๐ Buddhist
๐ธ Anime
๐จโ Most unattractive men's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ช Feminism | -1,437% | ||
| 2 | ๐จ No beard | -1,183% | ||
| 3 | ๐ง Garage music | -561% | ||
| 4 | ๐ธ Anime | -461% | ||
| 5 | ๐ง Hardstyle music | -455% | ||
| 6 | ๐ฌ LINE | -442% | ||
| 7 | ๐ Buddhist | -440% | ||
| 8 | ๐ช Skydiving | -434% | ||
| 9 | ๐ณ Bowling | -427% | ||
| 10 | ๐ฌ Daily smoker | -389% | ||
| 11 | ๐คฟ Snorkeling | -326% | ||
| 12 | โจ Believe in astrology | -307% | ||
| 13 | ๐ช Paragliding | -273% | ||
| 14 | ๐ Cricket | -216% | ||
| 15 | ๐ก Architecture | -215% | ||
| 16 | ๐ Rugby | -209% | ||
| 17 | ๐บ Breakdance | -137% | ||
| 18 | ๐ฆ Still water | -107% | ||
| 19 | ๐ Sustainability | -100% | ||
| 20 | ๐ Basketball | -67% | ||
| 21 | ๐ฅ No alcohol | -63% | ||
| 22 | ๐ฒ Board games | -59% | ||
| 23 | ๐ฆ Sparkling water | -46% | ||
| 24 | ๐ง Trance music | -45% | ||
| 25 | ๐ฐ๐ท K-pop music | -44% | ||
| 26 | ๐ค Podcast | -31% | ||
| 27 | ๐ FetLife | -27% | ||
| 28 | ๐ข Slowmad | -25% | ||
| 29 | ๐ผ Youngest child | -23% | ||
| 30 | ๐ Creatine | -23% | n=29,740 | |
๐ฑโโ๏ธ Most unattractive women's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ฌ Facebook | -571% | ||
| 2 | ๐ Snowboarding | -482% | ||
| 3 | ๐ก Not a homeowner | -417% | ||
| 4 | ๐ถ Middle child | -363% | ||
| 5 | โจ Believe in astrology | -274% | ||
| 6 | ๐ช Crossfit | -254% | ||
| 7 | ๐ช Fight sports | -209% | ||
| 8 | ๐งโ Short hair | -189% | ||
| 9 | ๐ฝ Libertarian politics | -171% | ||
| 10 | ๐ Kitesurfing | -157% | ||
| 11 | ๐ธ Badminton | -124% | ||
| 12 | ๐ Free diving | -115% | ||
| 13 | ๐ Paleo | -104% | ||
| 14 | ๐คฟ Snorkeling | -99% | ||
| 15 | ๐ Basketball | -99% | ||
| 16 | ๐ฅ Messy | -90% | ||
| 17 | ๐ Urbex | -86% | ||
| 18 | ๐ Buddhist | -81% | ||
| 19 | ๐ Skateboarding | -77% | ||
| 20 | ๐ฑ Pool | -54% | ||
| 21 | ๐ Religious | -50% | ||
| 22 | ๐ฐ๐ท Korean food | -44% | ||
| 23 | ๐ช Dropout | -34% | ||
| 24 | ๐ณ Bowling | -32% | ||
| 25 | ๐ช Paragliding | -25% | ||
| 26 | ๐ธ Anime | -25% | ||
| 27 | ๐ฌ LINE | -23% | ||
| 28 | ๐ฌ Discord | -14% | ||
| 29 | ๐ฌ Slack | -12% | ||
| 30 | ๐ง Garage music | -12% | n=29,740 | |
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).
๐ช Fitness
๐ค Product Manager
๐จ UI/UX Design
๐ SaaS
๐ฉโ๐จ Creative
๐ Data
๐จโ Attractive men's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐ช Fitness | +298% | ||
| 2 | ๐ค Product Manager | +273% | ||
| 3 | ๐จ UI/UX Design | +160% | ||
| 4 | ๐ SaaS | +131% | ||
| 5 | ๐ฉโ๐จ Creative | +115% | ||
| 6 | ๐ Data | +107% | ||
| 7 | ๐ธ Web Dev | +83% | ||
| 8 | ๐ Startup Founder | +74% | ||
| 9 | ๐ฐ Finance | +71% | ||
| 10 | ๐ฑ Mobile Dev | +56% | ||
| 11 | ๐ป Software Dev | +46% | ||
| 12 | ๐ Marketing | +39% | n=29,740 | |
๐ฑโโ๏ธ Attractive women's jobs |
||||
| # | Tag | Diff | n=29,740 | |
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.
๐ก Sysadmin
๐ฐ Journalism
๐พ Game Dev
๐ฉโ๐ผ Law
๐ฉ Politics
๐ VR Dev
๐จโ Most unattractive men's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐ก Sysadmin | -1,170% | ||
| 2 | ๐พ Game Dev | -980% | ||
| 3 | ๐ฐ Journalism | -668% | ||
| 4 | ๐ฉ Politics | -446% | ||
| 5 | ๐ฉโ๐ผ Law | -402% | ||
| 6 | ๐ VR Dev | -385% | ||
| 7 | ๐ถ Adult | -332% | ||
| 8 | ๐ธ Model | -216% | ||
| 9 | ๐ Investor | -158% | ||
| 10 | ๐ Blogging | -146% | ||
| 11 | ๐ Coach | -124% | ||
| 12 | ๐น Content Creator | -99% | ||
| 13 | ๐ก๏ธ InfoSec | -91% | ||
| 14 | ๐ Engineering | -50% | ||
| 15 | ๐ Real estate | -27% | ||
| 16 | ๐ต Music | -21% | ||
| 17 | ๐ Support | -10% | ||
| 18 | ๐จ Artist | -4% | n=29,740 | |
๐ฑโโ๏ธ Most unattractive women's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐ Data | -721% | ||
| 2 | ๐ค Sales | -560% | ||
| 3 | ๐ฐ Journalism | -343% | ||
| 4 | ๐ Hospitality | -307% | ||
| 5 | ๐ฑ Mobile Dev | -278% | ||
| 6 | ๐จโโ๏ธ Medical | -227% | ||
| 7 | ๐ Sports | -139% | ||
| 8 | ๐ Dev Ops | -117% | ||
| 9 | ๐ฉโ๐ผ Law | -113% | ||
| 10 | ๐ค Consulting | -77% | ||
| 11 | ๐ก Architecture | -66% | ||
| 12 | ๐ Logistics | -48% | ||
| 13 | ๐ฉ Politics | -25% | ||
| 14 | ๐น Content Creator | -23% | ||
| 15 | ๐ค Community | -22% | ||
| 16 | ๐พ Game Dev | -1% | ||
| 17 | ๐ก Sysadmin | -1% | n=29,740 | |
๐จโ Where attractive men travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐ฉ๐ช Stuttgart | 5 | ||
| 2 | ๐ฌ๐ท Mykonos | 4.67 | ||
| 3 | ๐บ๐ธ Honolulu | 4.63 | ||
| 4 | ๐ง๐ธ Nassau | 4.6 | ||
| 5 | ๐ฉ๐ด Punta Cana | 4.5 | ||
| 6 | ๐ต๐ท San Juan | 4.45 | ||
| 7 | ๐จ๐ท Tamarindo | 4.45 | ||
| 8 | ๐ต๐น Ericeira | 4.43 | ||
| 9 | ๐ธ๐ช Malmรถ | 4.41 | ||
| 10 | ๐จ๐ญ Zurich | 4.39 | ||
| 11 | ๐จ๐พ Limassol | 4.37 | ||
| 12 | ๐ช๐ธ Fuerteventura | 4.35 | ||
| 13 | ๐จ๐ด Santa Marta | 4.34 | ||
| 14 | ๐บ๐ธ Orlando | 4.32 | ||
| 15 | ๐ฒ๐ฉ Chisinau | 4.31 | ||
| 16 | ๐ง๐ท Florianopolis | 4.29 | ||
| 17 | ๐ช๐ธ Tenerife | 4.27 | ||
| 18 | ๐ฎ๐ฉ Ubud | 4.27 | ||
| 19 | ๐ฎ๐น Naples | 4.27 | ||
| 20 | ๐ฉ๐ช Frankfurt | 4.26 | ||
| 21 | ๐ฒ๐ฝ Guadalajara | 4.26 | ||
| 22 | ๐ฒ๐ฆ Taghazout | 4.23 | ||
| 23 | ๐ญ๐ท Dubrovnik | 4.21 | ||
| 24 | ๐น๐ญ Ko Samui | 4.21 | ||
| 25 | ๐ฆ๐น Innsbruck | 4.21 | ||
| 26 | ๐ฎ๐ฉ Uluwatu | 4.21 | ||
| 27 | ๐ฆ๐บ Brisbane | 4.2 | ||
| 28 | ๐ช๐ธ Gran Canaria | 4.19 | ||
| 29 | ๐ญ๐ท Zadar | 4.19 | ||
| 30 | ๐ฒ๐ฆ Fes | 4.19 | Based on attractiveness of visitors n=424,490 | |
๐ฑโโ๏ธ Where attractive women travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐บ๐ธ Phoenix | 5 | ||
| 2 | ๐บ๐ธ Houston | 4.88 | ||
| 3 | ๐ต๐ฑ Wrocลaw | 4.88 | ||
| 4 | ๐ต๐ฑ Gdansk | 4.77 | ||
| 5 | ๐บ๐ธ Orlando | 4.72 | ||
| 6 | ๐ฑ๐ฐ Galle | 4.65 | ||
| 7 | ๐ป๐ณ Nha Trang | 4.65 | ||
| 8 | ๐ณ๐ฑ Rotterdam | 4.64 | ||
| 9 | ๐น๐ญ Ko Phi Phi | 4.61 | ||
| 10 | ๐ฉ๐ช Dresden | 4.55 | ||
| 11 | ๐ฎ๐น Genoa | 4.5 | ||
| 12 | ๐ช๐ธ Fuerteventura | 4.49 | ||
| 13 | ๐ฎ๐น Catania | 4.49 | ||
| 14 | ๐บ๐ฆ Kyiv | 4.48 | ||
| 15 | ๐ฌ๐ช Batumi | 4.47 | ||
| 16 | ๐ท๐บ Saint Petersburg | 4.46 | ||
| 17 | ๐ท๐บ Moscow | 4.46 | ||
| 18 | ๐ต๐น Faro | 4.46 | ||
| 19 | ๐ฆ๐บ Cairns | 4.45 | ||
| 20 | ๐จ๐ญ Interlaken | 4.45 | ||
| 21 | ๐ฉ๐ด Punta Cana | 4.45 | ||
| 22 | ๐ฌ๐ท Mykonos | 4.44 | ||
| 23 | ๐ฌ๐ท Rhodes | 4.44 | ||
| 24 | ๐จ๐ฑ Valparaรญso | 4.43 | ||
| 25 | ๐ช๐ธ Malaga | 4.43 | ||
| 26 | ๐น๐ท Antalya | 4.43 | ||
| 27 | ๐น๐ญ Ko Samui | 4.42 | ||
| 28 | ๐ป๐ณ Da Lat | 4.38 | ||
| 29 | ๐ต๐น Ericeira | 4.35 | ||
| 30 | ๐น๐ญ Ao Nang | 4.33 | Based on attractiveness of visitors n=424,490 | |
๐จโ Where unattractive men travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐บ๐ธ Atlanta | 3.12 | ||
| 2 | ๐ฎ๐ฉ Kuta | 3.15 | ||
| 3 | ๐ป๐ณ Nha Trang | 3.29 | ||
| 4 | ๐น๐ท Izmir | 3.32 | ||
| 5 | ๐ฟ๐ฆ Johannesburg | 3.32 | ||
| 6 | ๐บ๐ธ Denver | 3.39 | ||
| 7 | ๐บ๐ฆ Lviv | 3.43 | ||
| 8 | ๐จ๐ณ Beijing | 3.5 | ||
| 9 | ๐จ๐ฆ Toronto | 3.5 | ||
| 10 | ๐ณ๐ฑ Utrecht | 3.51 | ||
| 11 | ๐บ๐ธ Houston | 3.52 | ||
| 12 | ๐ถ๐ฆ Doha | 3.53 | ||
| 13 | ๐บ๐ธ Chicago | 3.55 | ||
| 14 | ๐ฐ๐ช Nairobi | 3.56 | ||
| 15 | ๐ฎ๐ณ Goa | 3.56 | ||
| 16 | ๐ท๐ด Cluj | 3.56 | ||
| 17 | ๐จ๐บ Havana | 3.56 | ||
| 18 | ๐ป๐ฆ Vatican City | 3.57 | ||
| 19 | ๐ฆ๐ฉ Andorra la Vella | 3.57 | ||
| 20 | ๐ณ๐ฟ Queenstown | 3.57 | ||
| 21 | ๐บ๐ธ Portland | 3.57 | ||
| 22 | ๐ฑ๐ฐ Colombo | 3.58 | ||
| 23 | ๐น๐ญ Pattaya | 3.59 | ||
| 24 | ๐ช๐ธ Bilbao | 3.59 | ||
| 25 | ๐ซ๐ท Bordeaux | 3.59 | ||
| 26 | ๐ฉ๐ช Dusseldorf | 3.59 | ||
| 27 | ๐ฆ๐ฒ Yerevan | 3.59 | ||
| 28 | ๐ฌ๐ท Thessaloniki | 3.6 | ||
| 29 | ๐บ๐ธ Las Vegas | 3.61 | ||
| 30 | ๐ฒ๐ฆ Tangier | 3.62 | Based on unattractiveness of visitors n=424,490 | |
๐ฑโโ๏ธ Where unattractive women travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐ช๐จ Quito | 3.06 | ||
| 2 | ๐ฌ๐ง Glasgow | 3.11 | ||
| 3 | ๐จ๐ณ Macau | 3.14 | ||
| 4 | ๐ณ๐ฟ Wellington | 3.23 | ||
| 5 | ๐ง๐ฆ Sarajevo | 3.24 | ||
| 6 | ๐ง๐ฆ Mostar | 3.24 | ||
| 7 | ๐ฐ๐ช Nairobi | 3.25 | ||
| 8 | ๐ฉ๐ด Santo Domingo | 3.25 | ||
| 9 | ๐ฑ๐ฐ Weligama | 3.28 | ||
| 10 | ๐ต๐พ Asuncion | 3.28 | ||
| 11 | ๐บ๐ธ Atlanta | 3.32 | ||
| 12 | ๐ฏ๐ต Fukuoka | 3.32 | ||
| 13 | ๐ฆ๐บ Perth | 3.33 | ||
| 14 | ๐จ๐ด Santa Marta | 3.34 | ||
| 15 | ๐ฒ๐ฝ Puebla | 3.34 | ||
| 16 | ๐จ๐ด Bogota | 3.36 | ||
| 17 | ๐ฒ๐ฝ Guanajuato | 3.38 | ||
| 18 | ๐ง๐ฌ Bansko | 3.39 | ||
| 19 | ๐ฒ๐ฝ Guadalajara | 3.39 | ||
| 20 | ๐น๐ญ Ko Lanta | 3.4 | ||
| 21 | ๐ฏ๐ฒ Montego Bay | 3.41 | ||
| 22 | ๐ฏ๐ด Amman | 3.42 | ||
| 23 | ๐ณ๐ฎ San Juan del Sur | 3.42 | ||
| 24 | ๐จ๐ณ Shenzhen | 3.44 | ||
| 25 | ๐ฒ๐ฝ Merida | 3.44 | ||
| 26 | ๐ฉ๐ช Dusseldorf | 3.45 | ||
| 27 | ๐ช๐ธ Lanzarote | 3.46 | ||
| 28 | ๐ช๐จ Cuenca | 3.47 | ||
| 29 | ๐ฒ๐ฝ San Miguel de Allende | 3.48 | ||
| 30 | ๐ต๐ท San Juan | 3.48 | Based on unattractiveness of visitors n=424,490 | |
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 | 46% | ||
| 3 | ๐ต๐น Madeira | 45% | ||
| 4 | ๐บ๐ธ Boston | 44% | ||
| 5 | ๐ช๐ธ Fuerteventura | 44% | ||
| 6 | ๐ต๐ฑ Wrocลaw | 43% | ||
| 7 | ๐ฑ๐บ Luxembourg | 43% | ||
| 8 | ๐ฑ๐ง Beirut | 43% | ||
| 9 | ๐ท๐ด Brasov | 43% | ||
| 10 | ๐ฒ๐ฉ Chisinau | 43% | ||
| 11 | ๐ฌ๐ช Batumi | 43% | ||
| 12 | ๐ช๐ธ Lanzarote | 43% | ||
| 13 | ๐ฒ๐ฆ Taghazout | 43% | ||
| 14 | ๐ฆ๐ฉ Andorra la Vella | 43% | ||
| 15 | ๐จ๐ญ Geneva | 42% | ||
| 16 | ๐ต๐น Azores | 42% | ||
| 17 | ๐จ๐พ Limassol | 42% | ||
| 18 | ๐ฎ๐น Genoa | 42% | ||
| 19 | ๐ฐ๐ฌ Bishkek | 42% | ||
| 20 | ๐ฉ๐ด Santo Domingo | 42% | ||
| 21 | ๐ฑ๐ฐ Weligama | 42% | ||
| 22 | ๐ช๐ช Tallinn | 42% | ||
| 23 | ๐ธ๐ฎ Ljubljana | 42% | ||
| 24 | ๐ฑ๐ป Riga | 42% | ||
| 25 | ๐ณ๐ฑ The Hague | 42% | ||
| 26 | ๐จ๐ญ Zurich | 42% | ||
| 27 | ๐ฆ๐ฒ Yerevan | 42% | ||
| 28 | ๐ช๐ธ Bilbao | 42% | ||
| 29 | ๐ฎ๐น Turin | 42% | ||
| 30 | ๐ฌ๐ท Thessaloniki | 42% | Share of visiting nomads with a graduate degree n=124,409 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 | ๐ฒ๐ฆ Tangier | 27% | ||
| 4 | ๐จ๐ท Tamarindo | 27% | ||
| 5 | ๐น๐ญ Krabi | 28% | ||
| 6 | ๐ฒ๐ฝ Sayulita | 29% | ||
| 7 | ๐ฒ๐ฝ Guadalajara | 29% | ||
| 8 | ๐ฒ๐ฝ San Miguel de Allende | 30% | ||
| 9 | ๐จ๐ณ Guangzhou | 30% | ||
| 10 | ๐บ๐ธ Atlanta | 31% | ||
| 11 | ๐ฎ๐ฉ Jakarta | 31% | ||
| 12 | ๐บ๐ธ Houston | 31% | ||
| 13 | ๐ฌ๐น Antigua | 31% | ||
| 14 | ๐น๐ญ Ao Nang | 31% | ||
| 15 | ๐ฏ๐ต Hiroshima | 31% | ||
| 16 | ๐ฌ๐ท Mykonos | 31% | ||
| 17 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 31% | ||
| 18 | ๐ฏ๐ต Osaka | 31% | ||
| 19 | ๐น๐ญ Pattaya | 31% | ||
| 20 | ๐ฎ๐ฉ Seminyak | 31% | ||
| 21 | ๐ฆ๐บ Brisbane | 32% | ||
| 22 | ๐ป๐ณ Hue | 32% | ||
| 23 | ๐จ๐ท Santa Teresa | 32% | ||
| 24 | ๐น๐ญ Pai | 32% | ||
| 25 | ๐ฆ๐บ Perth | 32% | ||
| 26 | ๐ต๐ญ Cebu | 32% | ||
| 27 | ๐น๐ผ Taipei | 32% | ||
| 28 | ๐ป๐ณ Da Nang | 32% | ||
| 29 | ๐ช๐ธ San Sebastian | 32% | ||
| 30 | ๐ต๐ญ Manila | 32% | Share of visiting nomads with a graduate degree n=124,409 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 | ๐ฐ๐ฟ Almaty | 33 yrs | ||
| 2 | ๐บ๐ฟ Tashkent | 33 yrs | ||
| 3 | ๐ฎ๐น Pisa | 33 yrs | ||
| 4 | ๐น๐ท Ankara | 33 yrs | ||
| 5 | ๐ฎ๐ฉ Uluwatu | 34 yrs | ||
| 6 | ๐ต๐ฑ Warsaw | 34 yrs | ||
| 7 | ๐ต๐ญ Siargao | 34 yrs | ||
| 8 | ๐ต๐ฑ Poznan | 34 yrs | ||
| 9 | ๐จ๐ณ Chengdu | 34 yrs | ||
| 10 | ๐จ๐ณ Guangzhou | 34 yrs | ||
| 11 | ๐น๐ท Antalya | 34 yrs | ||
| 12 | ๐จ๐ฟ Brno | 34 yrs | ||
| 13 | ๐ฆ๐ฒ Yerevan | 34 yrs | ||
| 14 | ๐ฎ๐น Milan | 34 yrs | ||
| 15 | ๐ถ๐ฆ Doha | 34 yrs | ||
| 16 | ๐ฌ๐ช Kutaisi | 34 yrs | ||
| 17 | ๐ธ๐ช Gothenburg | 34 yrs | ||
| 18 | ๐บ๐ธ Raleigh | 34 yrs | ||
| 19 | ๐ฆ๐ท Bariloche | 34 yrs | ||
| 20 | ๐บ๐ธ Detroit | 34 yrs | ||
| 21 | ๐ฌ๐ง Cambridge | 34 yrs | ||
| 22 | ๐ฒ๐ป Male | 34 yrs | ||
| 23 | ๐ซ๐ท Chamonix | 34 yrs | ||
| 24 | ๐ป๐ฆ Vatican City | 34 yrs | ||
| 25 | ๐ท๐บ Sochi | 34 yrs | ||
| 26 | ๐บ๐ธ Philadelphia | 34.5 yrs | ||
| 27 | ๐ง๐ท Foz do Iguaรงu | 34.5 yrs | ||
| 28 | ๐ฒ๐ฆ Taghazout | 34.5 yrs | ||
| 29 | ๐ฌ๐ง Oxford | 34.5 yrs | ||
| 30 | ๐จ๐ญ Interlaken | 34.5 yrs | Median age of visiting nomads (locals excluded)n=197,330 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 | ๐จ๐ท Puerto Viejo | 38 yrs | ||
| 6 | ๐น๐ญ Hua Hin | 38 yrs | ||
| 7 | ๐บ๐ธ Oakland | 38 yrs | ||
| 8 | ๐บ๐ธ Kansas City | 38 yrs | ||
| 9 | ๐ฒ๐ฝ Merida | 38 yrs | ||
| 10 | ๐ฒ๐ฝ Guadalajara | 38 yrs | ||
| 11 | ๐ง๐ท Fortaleza | 38 yrs | ||
| 12 | ๐ง๐ท Recife | 38 yrs | ||
| 13 | ๐น๐ญ Ko Lanta | 38 yrs | ||
| 14 | ๐ช๐จ Cuenca | 38 yrs | ||
| 15 | ๐จ๐ฆ Quebec City | 37.5 yrs | ||
| 16 | ๐ฒ๐ฝ Puerto Vallarta | 37 yrs | ||
| 17 | ๐ฑ๐ง Beirut | 37 yrs | ||
| 18 | ๐ฒ๐ฝ Sayulita | 37 yrs | ||
| 19 | ๐ฌ๐ง Belfast | 37 yrs | ||
| 20 | ๐ง๐ธ Nassau | 37 yrs | ||
| 21 | ๐ฆ๐บ Gold Coast | 37 yrs | ||
| 22 | ๐ฒ๐ฝ Isla Mujeres | 37 yrs | ||
| 23 | ๐ช๐ธ Tarifa | 37 yrs | ||
| 24 | ๐ซ๐ท Montpellier | 37 yrs | ||
| 25 | ๐ต๐ฆ Bocas del Toro | 37 yrs | ||
| 26 | ๐ฆ๐บ Cairns | 37 yrs | ||
| 27 | ๐ฆ๐ฉ Andorra la Vella | 37 yrs | ||
| 28 | ๐ต๐ญ Boracay | 37 yrs | ||
| 29 | ๐ฑ๐ฆ Vientiane | 37 yrs | ||
| 30 | ๐ฌ๐ง Glasgow | 37 yrs | Median age of visiting nomads (locals excluded)n=197,330 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 canโt skew it.
๐ฐ Highest-earning visitors | ||||
| # | City | Median income | ||
| 1 | ๐บ๐ธ Austin | $150,000 | ||
| 2 | ๐จ๐ฆ Vancouver | $125,000 | ||
| 3 | ๐บ๐ธ New York City | $100,000 | ||
| 4 | ๐ฏ๐ต Tokyo | $100,000 | ||
| 5 | ๐ฉ๐ฐ Copenhagen | $100,000 | ||
| 6 | ๐ณ๐ฟ Auckland | $100,000 | ||
| 7 | ๐ธ๐ฎ Ljubljana | $100,000 | ||
| 8 | ๐ฟ๐ฆ Cape Town | $100,000 | ||
| 9 | ๐ฒ๐ฝ Mexico City | $100,000 | ||
| 10 | ๐บ๐ธ Boston | $100,000 | ||
| 11 | ๐ง๐ท Rio de Janeiro | $100,000 | ||
| 12 | ๐บ๐ธ Chicago | $100,000 | ||
| 13 | ๐ฒ๐ฝ Oaxaca | $100,000 | ||
| 14 | ๐ฆ๐บ Sydney | $100,000 | ||
| 15 | ๐ฎ๐ณ Delhi | $100,000 | ||
| 16 | ๐บ๐ธ Las Vegas | $100,000 | ||
| 17 | ๐ธ๐ช Stockholm | $100,000 | ||
| 18 | ๐ฏ๐ต Kyoto | $100,000 | ||
| 19 | ๐ฆ๐ท Buenos Aires | $100,000 | ||
| 20 | ๐น๐ผ Taipei | $100,000 | ||
| 21 | ๐ฒ๐ฆ Marrakesh | $100,000 | ||
| 22 | ๐จ๐ฆ Toronto | $100,000 | ||
| 23 | ๐บ๐ธ Miami | $100,000 | ||
| 24 | ๐จ๐ฆ Montreal | $100,000 | ||
| 25 | ๐จ๐ญ Zurich | $100,000 | ||
| 26 | ๐จ๐ด Bogota | $100,000 | ||
| 27 | ๐จ๐ญ Geneva | $100,000 | ||
| 28 | ๐ญ๐ฐ Hong Kong | $100,000 | ||
| 29 | ๐จ๐ด Medellรญn | $100,000 | ||
| 30 | ๐บ๐ธ San Francisco | $100,000 | Median self-reported income of visiting nomadsn=46,182 nomads | |
๐ช Lowest-earning visitors | ||||
| # | City | Median income | ||
| 1 | ๐ฐ๐ฟ Almaty | $67,500 | ||
| 2 | ๐ฆ๐ฒ Yerevan | $70,000 | ||
| 3 | ๐ต๐ญ Cebu | $70,000 | ||
| 4 | ๐ฌ๐ช Batumi | $70,000 | ||
| 5 | ๐ฐ๐ญ Phnom Penh | $72,500 | ||
| 6 | ๐ป๐ณ Da Nang | $72,500 | ||
| 7 | ๐น๐ญ Pattaya | $75,000 | ||
| 8 | ๐น๐ท Antalya | $75,000 | ||
| 9 | ๐น๐ญ Ko Pha Ngan | $75,000 | ||
| 10 | ๐ฒ๐พ Penang | $75,000 | ||
| 11 | ๐ป๐ณ Hoi An | $75,000 | ||
| 12 | ๐ฒ๐ฐ Skopje | $75,000 | ||
| 13 | ๐ง๐ฌ Bansko | $75,000 | ||
| 14 | ๐ฐ๐ท Busan | $75,000 | ||
| 15 | ๐ฌ๐ช Tbilisi | $75,000 | ||
| 16 | ๐ฒ๐พ Kuala Lumpur | $75,000 | ||
| 17 | ๐ป๐ฆ Vatican City | $80,000 | ||
| 18 | ๐ฑ๐บ Luxembourg | $80,000 | ||
| 19 | ๐น๐ญ Ko Tao | $80,000 | ||
| 20 | ๐ช๐ธ Tenerife | $80,000 | ||
| 21 | ๐ฑ๐ฐ Colombo | $80,000 | ||
| 22 | ๐น๐ญ Phuket | $80,000 | ||
| 23 | ๐น๐ญ Ko Lanta | $80,000 | ||
| 24 | ๐ท๐ธ Belgrade | $80,000 | ||
| 25 | ๐ฎ๐ฉ Jakarta | $80,000 | ||
| 26 | ๐น๐ท Istanbul | $80,000 | ||
| 27 | ๐ฏ๐ต Fukuoka | $80,000 | ||
| 28 | ๐ฐ๐ญ Siem Reap | $80,000 | ||
| 29 | ๐น๐ญ Krabi | $80,000 | ||
| 30 | ๐ฎ๐ฉ Ubud | $80,000 | Median self-reported income of visiting nomadsn=46,182 nomads | |
Among the nomads who travel to each city, the chance that two random visitors come from different countries โ 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 | ๐ฎ๐ฉ Gili Trawangan | 94% | ||
| 11 | ๐จ๐ฟ Brno | 94% | ||
| 12 | ๐บ๐ธ Chicago | 94% | ||
| 13 | ๐ฑ๐ฐ Colombo | 94% | ||
| 14 | ๐ฎ๐ฉ Denpasar | 94% | ||
| 15 | ๐ฑ๐ฐ Weligama | 94% | ||
| 16 | ๐ช๐ธ Tenerife | 94% | ||
| 17 | ๐ฎ๐ฉ Uluwatu | 94% | ||
| 18 | ๐บ๐ธ Seattle | 94% | ||
| 19 | ๐บ๐ธ San Diego | 94% | ||
| 20 | ๐น๐ญ Hua Hin | 94% | ||
| 21 | ๐ฆ๐ช Dubai | 94% | ||
| 22 | ๐ฌ๐ท Rhodes | 94% | ||
| 23 | ๐ฆ๐ช Abu Dhabi | 94% | ||
| 24 | ๐ฎ๐น Catania | 94% | ||
| 25 | ๐บ๐ธ New Orleans | 93% | ||
| 26 | ๐ช๐ฌ Dahab | 93% | ||
| 27 | ๐ฎ๐ฉ Kuta | 93% | ||
| 28 | ๐ป๐ณ Da Nang | 93% | ||
| 29 | ๐จ๐พ Larnaca | 93% | ||
| 30 | ๐น๐ญ Pai | 93% | How mixed the visiting nomadsโ nationalities aren=137,671 nomads | |
๐ Least international crowd | ||||
| # | City | Nationality mix | ||
| 1 | ๐ฒ๐ฝ Cabo San Lucas | 45% | ||
| 2 | ๐ฒ๐ฝ San Miguel de Allende | 48% | ||
| 3 | ๐ต๐ท San Juan | 49% | ||
| 4 | ๐ฒ๐ฝ Sayulita | 58% | ||
| 5 | ๐ฒ๐ฝ Puerto Vallarta | 59% | ||
| 6 | ๐ง๐ธ Nassau | 63% | ||
| 7 | ๐จ๐ท Tamarindo | 65% | ||
| 8 | ๐ฒ๐ฝ Cozumel | 68% | ||
| 9 | ๐จ๐ท Santa Teresa | 68% | ||
| 10 | ๐ฒ๐ฝ Guadalajara | 70% | ||
| 11 | ๐ฌ๐น Antigua | 71% | ||
| 12 | ๐ช๐จ Quito | 72% | ||
| 13 | ๐ฒ๐ฝ Mexico City | 74% | ||
| 14 | ๐ฒ๐ฝ Merida | 75% | ||
| 15 | ๐จ๐ด Medellรญn | 75% | ||
| 16 | ๐จ๐ฆ Vancouver | 75% | ||
| 17 | ๐ฌ๐น Guatemala City | 75% | ||
| 18 | ๐ณ๐ฎ San Juan del Sur | 76% | ||
| 19 | ๐ฒ๐ฝ Tulum | 77% | ||
| 20 | ๐จ๐ท San Josรฉ | 77% | ||
| 21 | ๐ฎ๐ธ Reykjavik | 77% | ||
| 22 | ๐ฒ๐ฝ Oaxaca | 77% | ||
| 23 | ๐จ๐ฆ Calgary | 77% | ||
| 24 | ๐ต๐ฆ Bocas del Toro | 78% | ||
| 25 | ๐จ๐ฆ Montreal | 78% | ||
| 26 | ๐จ๐ด Cali | 78% | ||
| 27 | ๐ฒ๐ฝ Playa del Carmen | 78% | ||
| 28 | ๐จ๐ด Cartagena | 79% | ||
| 29 | ๐ณ๐ฟ Queenstown | 80% | ||
| 30 | ๐ต๐ช Lima | 80% | How mixed the visiting nomadsโ nationalities aren=137,671 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 | ๐ฐ๐ฟ Almaty | 67% | ||
| 2 | ๐ฌ๐ช Batumi | 67% | ||
| 3 | ๐บ๐ฟ Tashkent | 63% | ||
| 4 | ๐ฆ๐ฒ Yerevan | 63% | ||
| 5 | ๐ต๐ฑ Wrocลaw | 63% | ||
| 6 | ๐ฐ๐ฌ Bishkek | 62% | ||
| 7 | ๐จ๐พ Larnaca | 62% | ||
| 8 | ๐ท๐ด Cluj | 62% | ||
| 9 | ๐ป๐ณ Da Lat | 61% | ||
| 10 | ๐ง๐พ Minsk | 61% | ||
| 11 | ๐น๐ผ Kaohsiung | 61% | ||
| 12 | ๐น๐ญ Pattaya | 61% | ||
| 13 | ๐ฎ๐ฉ Denpasar | 61% | ||
| 14 | ๐ซ๐ท Lyon | 60% | ||
| 15 | ๐ฏ๐ต Hiroshima | 60% | ||
| 16 | ๐ต๐ฑ Krakรณw | 60% | ||
| 17 | ๐น๐ท Antalya | 60% | ||
| 18 | ๐ฏ๐ต Osaka | 60% | ||
| 19 | ๐ท๐ธ Novi Sad | 60% | ||
| 20 | ๐ฌ๐ช Tbilisi | 60% | ||
| 21 | ๐ท๐บ Moscow | 60% | ||
| 22 | ๐ฏ๐ต Fukuoka | 59% | ||
| 23 | ๐ฎ๐ณ Bengaluru | 59% | ||
| 24 | ๐ท๐ธ Belgrade | 59% | ||
| 25 | ๐บ๐ธ San Francisco | 59% | ||
| 26 | ๐ฒ๐พ Langkawi | 59% | ||
| 27 | ๐ณ๐ฑ Utrecht | 59% | ||
| 28 | ๐ป๐ณ Phu Quoc | 58% | ||
| 29 | ๐ณ๐ด Oslo | 58% | ||
| 30 | ๐ฐ๐ท Busan | 58% | Share of visiting nomads who are developersn=152,995 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 | 41% | ||
| 7 | ๐จ๐ด Santa Marta | 42% | ||
| 8 | ๐ฒ๐ฝ Sayulita | 42% | ||
| 9 | ๐ฒ๐ฝ Puerto Vallarta | 42% | ||
| 10 | ๐ฒ๐ฝ San Miguel de Allende | 42% | ||
| 11 | ๐ฌ๐น Antigua | 42% | ||
| 12 | ๐ฒ๐ฝ Merida | 42% | ||
| 13 | ๐ฒ๐ฝ Oaxaca | 42% | ||
| 14 | ๐จ๐ท Santa Teresa | 43% | ||
| 15 | ๐ฟ๐ฆ Cape Town | 43% | ||
| 16 | ๐ช๐ธ San Sebastian | 43% | ||
| 17 | ๐ฑ๐ง Beirut | 43% | ||
| 18 | ๐ฉ๐ด Punta Cana | 44% | ||
| 19 | ๐ฏ๐ด Amman | 44% | ||
| 20 | ๐ต๐ฆ Bocas del Toro | 44% | ||
| 21 | ๐ฆ๐ท El Calafate | 44% | ||
| 22 | ๐ช๐จ Quito | 45% | ||
| 23 | ๐ฐ๐ช Nairobi | 45% | ||
| 24 | ๐ฒ๐ฆ Essaouira | 45% | ||
| 25 | ๐ต๐ญ Siargao | 45% | ||
| 26 | ๐จ๐บ Havana | 45% | ||
| 27 | ๐ฌ๐ท Mykonos | 45% | ||
| 28 | ๐ฒ๐ฝ Isla Mujeres | 46% | ||
| 29 | ๐ต๐ท San Juan | 46% | ||
| 30 | ๐ต๐น Lagos | 46% | Share of visiting nomads who are developersn=152,995 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 | ๐บ๐ธ San Francisco | 46% | ||
| 2 | ๐จ๐ณ Shenzhen | 46% | ||
| 3 | ๐ช๐ธ Marbella | 46% | ||
| 4 | ๐บ๐ธ Boston | 42% | ||
| 5 | ๐ด๐ฒ Muscat | 42% | ||
| 6 | ๐ซ๐ท Cannes | 41% | ||
| 7 | ๐ญ๐ฐ Hong Kong | 40% | ||
| 8 | ๐ฆ๐ช Abu Dhabi | 40% | ||
| 9 | ๐ฆ๐ช Dubai | 40% | ||
| 10 | ๐ฆ๐บ Perth | 40% | ||
| 11 | ๐บ๐ธ New Orleans | 40% | ||
| 12 | ๐บ๐ธ Las Vegas | 40% | ||
| 13 | ๐บ๐ธ Philadelphia | 40% | ||
| 14 | ๐บ๐ฆ Kyiv | 40% | ||
| 15 | ๐ฒ๐จ Monaco | 40% | ||
| 16 | ๐จ๐พ Larnaca | 39% | ||
| 17 | ๐บ๐ธ Los Angeles | 39% | ||
| 18 | ๐ถ๐ฆ Doha | 39% | ||
| 19 | ๐บ๐ธ Dallas | 39% | ||
| 20 | ๐ฎ๐ณ Bengaluru | 39% | ||
| 21 | ๐ง๐ธ Nassau | 39% | ||
| 22 | ๐จ๐ณ Guangzhou | 39% | ||
| 23 | ๐ฎ๐ฉ Sanur | 39% | ||
| 24 | ๐ฎ๐ณ Goa | 39% | ||
| 25 | ๐ฎ๐ฉ Canggu | 39% | ||
| 26 | ๐ฎ๐ฉ Denpasar | 39% | ||
| 27 | ๐ช๐ธ Bilbao | 39% | ||
| 28 | ๐บ๐ธ New York City | 39% | ||
| 29 | ๐ซ๐ฎ Helsinki | 39% | ||
| 30 | ๐บ๐ฆ Lviv | 38% | Share of visiting nomads who are foundersn=152,995 nomads | |
๐งโ๐ญ Fewest founders | ||||
| # | City | Founders | ||
| 1 | ๐ฆ๐ท Bariloche | 22% | ||
| 2 | ๐ฆ๐ท El Calafate | 24% | ||
| 3 | ๐ต๐ช Arequipa | 26% | ||
| 4 | ๐ฒ๐ฝ Merida | 27% | ||
| 5 | ๐ฒ๐ฝ Guadalajara | 27% | ||
| 6 | ๐ฌ๐ง Glasgow | 27% | ||
| 7 | ๐ช๐จ Cuenca | 27% | ||
| 8 | ๐ง๐ฆ Mostar | 27% | ||
| 9 | ๐ฒ๐ฝ Puerto Escondido | 27% | ||
| 10 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 27% | ||
| 11 | ๐จ๐ท Puerto Viejo | 27% | ||
| 12 | ๐ฆ๐ท Mendoza | 27% | ||
| 13 | ๐ช๐ธ Granada | 27% | ||
| 14 | ๐ง๐ฆ Sarajevo | 27% | ||
| 15 | ๐ฆ๐ฑ Sarandรซ | 27% | ||
| 16 | ๐ง๐ฌ Plovdiv | 28% | ||
| 17 | ๐ฒ๐ฝ Oaxaca | 28% | ||
| 18 | ๐ช๐จ Quito | 28% | ||
| 19 | ๐ฒ๐ฝ Cozumel | 28% | ||
| 20 | ๐ณ๐ฟ Christchurch | 28% | ||
| 21 | ๐ฐ๐ท Busan | 28% | ||
| 22 | ๐จ๐ด Santa Marta | 28% | ||
| 23 | ๐ฒ๐ช Kotor | 28% | ||
| 24 | ๐ต๐ช Cusco | 28% | ||
| 25 | ๐บ๐ธ Honolulu | 28% | ||
| 26 | ๐จ๐ท Santa Teresa | 29% | ||
| 27 | ๐ฉ๐ด Punta Cana | 29% | ||
| 28 | ๐ญ๐ท Zadar | 29% | ||
| 29 | ๐ฆ๐ท Ushuaia | 29% | ||
| 30 | ๐ฆ๐ท Cordoba | 29% | Share of visiting nomads who are foundersn=152,995 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 | 35% | ||
| 5 | ๐ง๐ช Antwerp | 35% | ||
| 6 | ๐จ๐ณ Shanghai | 34% | ||
| 7 | ๐ซ๐ท Cannes | 34% | ||
| 8 | ๐ฒ๐ฆ Essaouira | 34% | ||
| 9 | ๐ช๐ธ Bilbao | 34% | ||
| 10 | ๐ฒ๐ฆ Tangier | 34% | ||
| 11 | ๐ฐ๐ญ Phnom Penh | 34% | ||
| 12 | ๐ฒ๐พ Penang | 34% | ||
| 13 | ๐ฆ๐บ Melbourne | 34% | ||
| 14 | ๐ง๐ธ Nassau | 34% | ||
| 15 | ๐ฒ๐ฝ Tulum | 34% | ||
| 16 | ๐ต๐น Faro | 34% | ||
| 17 | ๐ฑ๐ฐ Colombo | 33% | ||
| 18 | ๐จ๐ณ Guangzhou | 33% | ||
| 19 | ๐จ๐ท Puerto Viejo | 33% | ||
| 20 | ๐ฉ๐ช Frankfurt | 33% | ||
| 21 | ๐จ๐ณ Beijing | 33% | ||
| 22 | ๐น๐ญ Ko Pha Ngan | 33% | ||
| 23 | ๐บ๐ธ San Francisco | 33% | ||
| 24 | ๐ฎ๐น Milan | 33% | ||
| 25 | ๐ฒ๐พ Langkawi | 33% | ||
| 26 | ๐บ๐ธ New Orleans | 33% | ||
| 27 | ๐ณ๐ฑ Rotterdam | 33% | ||
| 28 | ๐ฌ๐ง Edinburgh | 33% | ||
| 29 | ๐น๐ท Izmir | 33% | ||
| 30 | ๐ฉ๐ช Berlin | 33% | Share of visiting nomads who are designersn=152,995 nomads | |
๐ง Fewest designers | ||||
| # | City | Designers | ||
| 1 | ๐ต๐พ Asuncion | 19% | ||
| 2 | ๐ฆ๐ท Bariloche | 22% | ||
| 3 | ๐บ๐ธ Denver | 22% | ||
| 4 | ๐จ๐พ Limassol | 22% | ||
| 5 | ๐ฆ๐ฉ Andorra la Vella | 22% | ||
| 6 | ๐ฐ๐ฟ Almaty | 23% | ||
| 7 | ๐ช๐ฌ Dahab | 23% | ||
| 8 | ๐ฆ๐ท Ushuaia | 23% | ||
| 9 | ๐ญ๐ท Zadar | 24% | ||
| 10 | ๐ฐ๐ท Jeju Island | 24% | ||
| 11 | ๐ฒ๐ช Podgorica | 24% | ||
| 12 | ๐ฑ๐น Vilnius | 24% | ||
| 13 | ๐ฆ๐ท El Calafate | 24% | ||
| 14 | ๐จ๐พ Paphos | 24% | ||
| 15 | ๐ฎ๐น Verona | 24% | ||
| 16 | ๐ฌ๐ท Rhodes | 24% | ||
| 17 | ๐ง๐ท Foz do Iguaรงu | 24% | ||
| 18 | ๐ฌ๐ช Tbilisi | 25% | ||
| 19 | ๐ฆ๐ฒ Yerevan | 25% | ||
| 20 | ๐ฎ๐ฉ Sanur | 25% | ||
| 21 | ๐ง๐พ Minsk | 25% | ||
| 22 | ๐ฒ๐ฆ Casablanca | 25% | ||
| 23 | ๐ฐ๐ฌ Bishkek | 25% | ||
| 24 | ๐ฑ๐บ Luxembourg | 25% | ||
| 25 | ๐ฉ๐ด Santo Domingo | 25% | ||
| 26 | ๐ฌ๐ช Batumi | 25% | ||
| 27 | ๐ฆ๐ท Mendoza | 25% | ||
| 28 | ๐ฆ๐ฟ Baku | 25% | ||
| 29 | ๐ธ๐ช Gothenburg | 25% | ||
| 30 | ๐ง๐ฌ Plovdiv | 25% | Share of visiting nomads who are designersn=152,995 nomads | |
Share of the visiting nomads who travel to each city who lift โ 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 | ๐น๐ญ Ko Samui | 51% | ||
| 5 | ๐ฒ๐ฝ Playa del Carmen | 50% | ||
| 6 | ๐ฉ๐ด Santo Domingo | 50% | ||
| 7 | ๐ต๐ญ Siargao | 50% | ||
| 8 | ๐จ๐ด Cali | 50% | ||
| 9 | ๐จ๐ท Tamarindo | 50% | ||
| 10 | ๐จ๐ท Santa Teresa | 50% | ||
| 11 | ๐ง๐ท Florianopolis | 49% | ||
| 12 | ๐น๐ญ Krabi | 49% | ||
| 13 | ๐ถ๐ฆ Doha | 49% | ||
| 14 | ๐น๐ญ Ko Pha Ngan | 49% | ||
| 15 | ๐ต๐ฆ Panama City | 49% | ||
| 16 | ๐ฒ๐ฝ Guadalajara | 49% | ||
| 17 | ๐จ๐ด Cartagena | 49% | ||
| 18 | ๐ญ๐ท Hvar | 49% | ||
| 19 | ๐ต๐ท San Juan | 49% | ||
| 20 | ๐ฎ๐ฉ Canggu | 49% | ||
| 21 | ๐จ๐ท Puerto Viejo | 49% | ||
| 22 | ๐ช๐ธ Lanzarote | 49% | ||
| 23 | ๐ง๐ท Rio de Janeiro | 49% | ||
| 24 | ๐ช๐ธ Marbella | 49% | ||
| 25 | ๐ช๐ธ Fuerteventura | 48% | ||
| 26 | ๐บ๐ธ Atlanta | 48% | ||
| 27 | ๐ฒ๐ฝ Sayulita | 48% | ||
| 28 | ๐ญ๐ท Dubrovnik | 48% | ||
| 29 | ๐ฆ๐ช Abu Dhabi | 48% | ||
| 30 | ๐ช๐ธ Mallorca | 48% | Share of visiting nomads into gym & strength trainingn=149,762 nomads | |
๐๏ธ Least gym-going visitors | ||||
| # | City | Gym / strength | ||
| 1 | ๐ณ๐ฑ The Hague | 32% | ||
| 2 | ๐ฌ๐ง Glasgow | 32% | ||
| 3 | ๐น๐ท Izmir | 33% | ||
| 4 | ๐ฎ๐ฉ Yogyakarta | 34% | ||
| 5 | ๐บ๐ฟ Tashkent | 35% | ||
| 6 | ๐ณ๐ด Bergen | 35% | ||
| 7 | ๐ง๐ฌ Plovdiv | 35% | ||
| 8 | ๐ฎ๐ณ Jaipur | 35% | ||
| 9 | ๐ฌ๐ง Belfast | 35% | ||
| 10 | ๐ง๐พ Minsk | 35% | ||
| 11 | ๐ฒ๐ฝ San Miguel de Allende | 36% | ||
| 12 | ๐ฆ๐ท Ushuaia | 36% | ||
| 13 | ๐ง๐ฆ Mostar | 36% | ||
| 14 | ๐ฐ๐ฟ Almaty | 36% | ||
| 15 | ๐ง๐ฆ Sarajevo | 36% | ||
| 16 | ๐ท๐ธ Novi Sad | 36% | ||
| 17 | ๐จ๐ณ Chengdu | 36% | ||
| 18 | ๐ต๐ช Arequipa | 36% | ||
| 19 | ๐น๐ญ Chiang Rai | 36% | ||
| 20 | ๐ซ๐ท Lyon | 36% | ||
| 21 | ๐ฆ๐ฒ Yerevan | 36% | ||
| 22 | ๐ฌ๐ง Edinburgh | 37% | ||
| 23 | ๐ฒ๐ฆ Fes | 37% | ||
| 24 | ๐จ๐ฑ San Pedro de Atacama | 37% | ||
| 25 | ๐ง๐ท Foz do Iguaรงu | 37% | ||
| 26 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 37% | ||
| 27 | ๐จ๐ญ Bern | 38% | ||
| 28 | ๐ฌ๐ฎ Gibraltar | 38% | ||
| 29 | ๐จ๐ฆ Quebec City | 38% | ||
| 30 | ๐ฆ๐ท Cordoba | 38% | Share of visiting nomads into gym & strength trainingn=149,762 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 Cordoba | 65% | ||
| 3 | ๐จ๐บ Havana | 65% | ||
| 4 | ๐ป๐ณ Hue | 65% | ||
| 5 | ๐ญ๐ท Dubrovnik | 65% | ||
| 6 | ๐ฎ๐ช Dublin | 65% | ||
| 7 | ๐ต๐ญ Boracay | 65% | ||
| 8 | ๐บ๐พ Montevideo | 65% | ||
| 9 | ๐ฌ๐ง Manchester | 64% | ||
| 10 | ๐ฎ๐น Florence | 64% | ||
| 11 | ๐ฆ๐ท Bariloche | 64% | ||
| 12 | ๐จ๐ด Santa Marta | 64% | ||
| 13 | ๐ฉ๐ช Cologne | 64% | ||
| 14 | ๐ฒ๐ฝ Isla Mujeres | 64% | ||
| 15 | ๐ช๐จ Quito | 64% | ||
| 16 | ๐ฒ๐ฝ Cancun | 64% | ||
| 17 | ๐ต๐ท San Juan | 64% | ||
| 18 | ๐ญ๐ท Split | 64% | ||
| 19 | ๐ณ๐ฟ Queenstown | 64% | ||
| 20 | ๐ป๐ฆ Vatican City | 64% | ||
| 21 | ๐ช๐ธ Seville | 63% | ||
| 22 | ๐ฎ๐ธ Reykjavik | 63% | ||
| 23 | ๐ฌ๐น Antigua | 63% | ||
| 24 | ๐ฏ๐ต Sapporo | 63% | ||
| 25 | ๐ฒ๐ฝ Guadalajara | 63% | ||
| 26 | ๐ช๐ธ Fuerteventura | 63% | ||
| 27 | ๐ฌ๐ท Chania | 63% | ||
| 28 | ๐ฎ๐น Genoa | 63% | ||
| 29 | ๐น๐ญ Ko Lanta | 63% | ||
| 30 | ๐ช๐จ Cuenca | 63% | Share of visiting nomads who like alcoholn=149,762 nomads | |
๐ฑ Most sober visitors | ||||
| # | City | Drinks | ||
| 1 | ๐จ๐ณ Shenzhen | 48% | ||
| 2 | ๐ต๐น Portimรฃo | 50% | ||
| 3 | ๐ฎ๐น Lake Como | 50% | ||
| 4 | ๐น๐ณ Tunis | 51% | ||
| 5 | ๐บ๐ธ Honolulu | 51% | ||
| 6 | ๐ณ๐ฑ Utrecht | 51% | ||
| 7 | ๐ท๐บ Moscow | 51% | ||
| 8 | ๐ฎ๐ณ Bengaluru | 51% | ||
| 9 | ๐จ๐ณ Guangzhou | 51% | ||
| 10 | ๐ฆ๐ช Abu Dhabi | 52% | ||
| 11 | ๐บ๐ธ Portland | 52% | ||
| 12 | ๐ฒ๐ฉ Chisinau | 52% | ||
| 13 | ๐ฎ๐ฉ Jakarta | 52% | ||
| 14 | ๐ฒ๐ช Podgorica | 52% | ||
| 15 | ๐ฎ๐ฉ Ubud | 52% | ||
| 16 | ๐ด๐ฒ Muscat | 53% | ||
| 17 | ๐ฎ๐ฉ Sanur | 53% | ||
| 18 | ๐ง๐พ Minsk | 53% | ||
| 19 | ๐ฆ๐ช Dubai | 53% | ||
| 20 | ๐ฉ๐ช Stuttgart | 53% | ||
| 21 | ๐ธ๐ป San Salvador | 53% | ||
| 22 | ๐ฐ๐ท Seoul | 53% | ||
| 23 | ๐บ๐ธ Austin | 53% | ||
| 24 | ๐ท๐ด Timisoara | 53% | ||
| 25 | ๐จ๐ญ Geneva | 54% | ||
| 26 | ๐จ๐ณ Shanghai | 54% | ||
| 27 | ๐บ๐ธ Dallas | 54% | ||
| 28 | ๐ฐ๐ท Busan | 54% | ||
| 29 | ๐ต๐ญ Manila | 54% | ||
| 30 | ๐ฎ๐ฉ Yogyakarta | 54% | Share of visiting nomads who like alcoholn=149,762 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 | 25% | ||
| 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 Cartagena | 21% | ||
| 9 | ๐จ๐ด Santa Marta | 21% | ||
| 10 | ๐ฎ๐ณ Goa | 21% | ||
| 11 | ๐จ๐บ Havana | 21% | ||
| 12 | ๐ง๐ท Salvador | 21% | ||
| 13 | ๐น๐ญ Ko Pha Ngan | 21% | ||
| 14 | ๐น๐ญ Ko Phi Phi | 21% | ||
| 15 | ๐น๐ญ Pattaya | 21% | ||
| 16 | ๐น๐ญ Ko Tao | 21% | ||
| 17 | ๐ฒ๐ฝ Tulum | 20% | ||
| 18 | ๐จ๐ด Bogota | 20% | ||
| 19 | ๐ฒ๐ฆ Fes | 20% | ||
| 20 | ๐ฑ๐ฐ Colombo | 20% | ||
| 21 | ๐ฎ๐ฉ Gili Air | 20% | ||
| 22 | ๐จ๐ฆ Montreal | 20% | ||
| 23 | ๐ฎ๐ณ Mumbai | 20% | ||
| 24 | ๐ฒ๐ฝ Playa del Carmen | 20% | ||
| 25 | ๐ฎ๐ฉ Denpasar | 20% | ||
| 26 | ๐ฒ๐จ Monaco | 20% | ||
| 27 | ๐จ๐ด Medellรญn | 20% | ||
| 28 | ๐ฒ๐ฝ Cabo San Lucas | 20% | ||
| 29 | ๐ฎ๐ฉ Seminyak | 20% | ||
| 30 | ๐ง๐ท Sรฃo Paulo | 20% | Share of visiting nomads who like partyingn=149,762 nomads | |
๐ด Quietest visitors | ||||
| # | City | Parties | ||
| 1 | ๐ธ๐ช Malmรถ | 10% | ||
| 2 | ๐ฉ๐ช Hamburg | 10% | ||
| 3 | ๐ฎ๐ฉ Sanur | 10% | ||
| 4 | ๐ท๐ธ Novi Sad | 10% | ||
| 5 | ๐ฎ๐น Lake Como | 11% | ||
| 6 | ๐จ๐ณ Chengdu | 11% | ||
| 7 | ๐ต๐ฑ Wrocลaw | 11% | ||
| 8 | ๐บ๐ธ Dallas | 11% | ||
| 9 | ๐ง๐พ Minsk | 12% | ||
| 10 | ๐ง๐ช Antwerp | 12% | ||
| 11 | ๐ฆ๐ฒ Yerevan | 12% | ||
| 12 | ๐ฎ๐น Verona | 12% | ||
| 13 | ๐ฐ๐ฌ Bishkek | 12% | ||
| 14 | ๐บ๐ฟ Tashkent | 12% | ||
| 15 | ๐ฒ๐ฆ Essaouira | 12% | ||
| 16 | ๐ฑ๐ฐ Weligama | 12% | ||
| 17 | ๐ธ๐ช Gothenburg | 12% | ||
| 18 | ๐ฌ๐ช Tbilisi | 13% | ||
| 19 | ๐บ๐ธ Denver | 13% | ||
| 20 | ๐ณ๐ด Bergen | 13% | ||
| 21 | ๐น๐ญ Chiang Rai | 13% | ||
| 22 | ๐ฎ๐ฑ Jerusalem | 13% | ||
| 23 | ๐ต๐พ Asuncion | 13% | ||
| 24 | ๐ด๐ฒ Muscat | 13% | ||
| 25 | ๐ฌ๐ง Glasgow | 13% | ||
| 26 | ๐ฆ๐น Salzburg | 13% | ||
| 27 | ๐ฒ๐ฝ San Miguel de Allende | 13% | ||
| 28 | ๐ง๐ฌ Plovdiv | 13% | ||
| 29 | ๐บ๐ธ Houston | 13% | ||
| 30 | ๐บ๐ธ Seattle | 13% | Share of visiting nomads who like partyingn=149,762 nomads | |
Share of the visiting nomads who travel to each city who say theyโre 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 | ๐ฐ๐ช Nairobi | 74% | ||
| 5 | ๐ง๐ท Rio de Janeiro | 74% | ||
| 6 | ๐ฒ๐ฝ Puerto Escondido | 74% | ||
| 7 | ๐จ๐ด Cartagena | 74% | ||
| 8 | ๐ฌ๐น Antigua | 74% | ||
| 9 | ๐ต๐ฆ Panama City | 74% | ||
| 10 | ๐ช๐ธ Ibiza | 74% | ||
| 11 | ๐จ๐ท San Josรฉ | 74% | ||
| 12 | ๐ช๐ฌ Cairo | 73% | ||
| 13 | ๐ฆ๐ท Buenos Aires | 73% | ||
| 14 | ๐ง๐ท Florianopolis | 73% | ||
| 15 | ๐ต๐ช Lima | 73% | ||
| 16 | ๐ง๐ฌ Bansko | 73% | ||
| 17 | ๐ต๐ญ Manila | 73% | ||
| 18 | ๐ฏ๐ด Amman | 72% | ||
| 19 | ๐ช๐ธ Valencia | 72% | ||
| 20 | ๐ต๐พ Asuncion | 72% | ||
| 21 | ๐ต๐ช Cusco | 72% | ||
| 22 | ๐น๐ผ Taipei | 72% | ||
| 23 | ๐ฎ๐ฉ Canggu | 72% | ||
| 24 | ๐ฒ๐ฝ Mexico City | 72% | ||
| 25 | ๐ง๐ท Sรฃo Paulo | 72% | ||
| 26 | ๐ช๐ธ Gran Canaria | 72% | ||
| 27 | ๐ญ๐ท Zagreb | 72% | ||
| 28 | ๐ฏ๐ต Fukuoka | 72% | ||
| 29 | ๐ฆ๐ฑ Tirana | 72% | ||
| 30 | ๐ฒ๐ฝ Playa del Carmen | 72% | Share of visiting nomads who are singlen=70,085 nomads | |
๐ Most coupled-up visitors | ||||
| # | City | Single | ||
| 1 | ๐น๐ญ Ko Phi Phi | 58% | ||
| 2 | ๐ป๐ฆ Vatican City | 60% | ||
| 3 | ๐ฆ๐น Salzburg | 60% | ||
| 4 | ๐ฉ๐ช Frankfurt | 61% | ||
| 5 | ๐ฑ๐ฐ Colombo | 61% | ||
| 6 | ๐จ๐พ Larnaca | 61% | ||
| 7 | ๐ฒ๐พ Penang | 61% | ||
| 8 | ๐บ๐ธ Seattle | 61% | ||
| 9 | ๐น๐ญ Krabi | 61% | ||
| 10 | ๐ง๐ช Bruges | 62% | ||
| 11 | ๐ฆ๐ช Abu Dhabi | 62% | ||
| 12 | ๐น๐ญ Ko Lanta | 62% | ||
| 13 | ๐ท๐บ Moscow | 62% | ||
| 14 | ๐ณ๐ด Oslo | 62% | ||
| 15 | ๐ฒ๐น Sliema | 62% | ||
| 16 | ๐ท๐บ Saint Petersburg | 63% | ||
| 17 | ๐จ๐บ Havana | 63% | ||
| 18 | ๐ญ๐ฐ Hong Kong | 63% | ||
| 19 | ๐บ๐ธ Orlando | 63% | ||
| 20 | ๐ฉ๐ช Cologne | 63% | ||
| 21 | ๐น๐ท Antalya | 63% | ||
| 22 | ๐ฎ๐น Milan | 63% | ||
| 23 | ๐บ๐ธ Los Angeles | 63% | ||
| 24 | ๐บ๐ธ Las Vegas | 63% | ||
| 25 | ๐ฐ๐ฟ Almaty | 63% | ||
| 26 | ๐ฉ๐ช Hamburg | 63% | ||
| 27 | ๐ง๐ช Brussels | 64% | ||
| 28 | ๐ซ๐ท Paris | 64% | ||
| 29 | ๐ถ๐ฆ Doha | 64% | ||
| 30 | ๐จ๐ฆ Vancouver | 64% | Share of visiting nomads who are singlen=70,085 nomads | |
A blended 0-100 score of the visiting nomads to each city, combining how attractive theyโre 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 | ๐จ๐ญ Geneva | 88% | ||
| 2 | ๐จ๐ญ Zurich | 87% | ||
| 3 | ๐ง๐ท Rio de Janeiro | 80% | ||
| 4 | ๐บ๐ธ Boston | 79% | ||
| 5 | ๐จ๐ฆ Montreal | 78% | ||
| 6 | ๐บ๐ธ New York City | 77% | ||
| 7 | ๐ฟ๐ฆ Cape Town | 76% | ||
| 8 | ๐ฎ๐น Palermo | 75% | ||
| 9 | ๐บ๐ธ Austin | 74% | ||
| 10 | ๐ต๐น Madeira | 74% | ||
| 11 | ๐ฎ๐น Naples | 74% | ||
| 12 | ๐ง๐ท Florianopolis | 71% | ||
| 13 | ๐ฒ๐ฝ Tulum | 70% | ||
| 14 | ๐ฉ๐ช Frankfurt | 68% | ||
| 15 | ๐ฎ๐ธ Reykjavik | 68% | ||
| 16 | ๐บ๐ธ San Francisco | 67% | ||
| 17 | ๐ฑ๐บ Luxembourg | 67% | ||
| 18 | ๐ฉ๐ช Munich | 67% | ||
| 19 | ๐ต๐น Lisbon | 66% | ||
| 20 | ๐ฉ๐ช Hamburg | 66% | ||
| 21 | ๐ฒ๐ฝ Playa del Carmen | 66% | ||
| 22 | ๐ฉ๐ฐ Copenhagen | 65% | ||
| 23 | ๐ธ๐ช Stockholm | 65% | ||
| 24 | ๐ฒ๐ฝ Oaxaca | 64% | ||
| 25 | ๐ฆ๐บ Sydney | 64% | ||
| 26 | ๐จ๐ฆ Vancouver | 64% | ||
| 27 | ๐บ๐ธ Miami | 64% | ||
| 28 | ๐ฒ๐ฆ Marrakesh | 63% | ||
| 29 | ๐ช๐ธ Gran Canaria | 62% | ||
| 30 | ๐บ๐ธ San Diego | 61% | Blend of attractiveness, income & education of visiting nomadsn=46,182 nomads | |
๐๏ธ Least attractive, lowest income & least educated | ||||
| # | City | Score | ||
| 1 | ๐น๐ญ Pattaya | 4% | ||
| 2 | ๐ฎ๐ฉ Jakarta | 6% | ||
| 3 | ๐ฑ๐ฐ Colombo | 7% | ||
| 4 | ๐ป๐ณ Da Nang | 8% | ||
| 5 | ๐ต๐ญ Manila | 13% | ||
| 6 | ๐ต๐ญ Cebu | 14% | ||
| 7 | ๐ป๐ณ Hanoi | 15% | ||
| 8 | ๐ฒ๐พ Kuala Lumpur | 16% | ||
| 9 | ๐ป๐ฆ Vatican City | 18% | ||
| 10 | ๐ฆ๐ฑ Tirana | 18% | ||
| 11 | ๐ป๐ณ Ho Chi Minh City | 19% | ||
| 12 | ๐ฎ๐ฉ Seminyak | 19% | ||
| 13 | ๐ฏ๐ต Fukuoka | 20% | ||
| 14 | ๐น๐ญ Phuket | 22% | ||
| 15 | ๐ฐ๐ญ Phnom Penh | 22% | ||
| 16 | ๐ฏ๐ต Osaka | 23% | ||
| 17 | ๐ฐ๐ฟ Almaty | 25% | ||
| 18 | ๐ฐ๐ท Busan | 26% | ||
| 19 | ๐น๐ญ Krabi | 27% | ||
| 20 | ๐ป๐ณ Hoi An | 27% | ||
| 21 | ๐บ๐พ Montevideo | 28% | ||
| 22 | ๐ฐ๐ญ Siem Reap | 28% | ||
| 23 | ๐ท๐ธ Belgrade | 29% | ||
| 24 | ๐ต๐พ Asuncion | 29% | ||
| 25 | ๐ญ๐บ Budapest | 29% | ||
| 26 | ๐ถ๐ฆ Doha | 30% | ||
| 27 | ๐น๐ผ Taipei | 31% | ||
| 28 | ๐น๐ท Antalya | 31% | ||
| 29 | ๐ซ๐ท Marseille | 32% | ||
| 30 | ๐ธ๐ฐ Bratislava | 32% | Blend of attractiveness, income & education of visiting nomadsn=46,182 nomads | |
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