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๐ถ 37-year old
โ ๏ธ Non-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 73% less COโ
5๏ธโฃ
and stays for
5 months
๐ถ Nomads by age |
||||
| Age | % | |||
| 18 |
0.1%
|
|||
| 21 |
0.1%
|
|||
| 22 |
0.3%
|
|||
| 23 |
0.3%
|
|||
| 24 |
0.5%
|
|||
| 25 |
1%
|
|||
| 26 |
2%
|
|||
| 27 |
2%
|
|||
| 28 |
2%
|
|||
| 29 |
2%
|
|||
| 30 |
2%
|
|||
| 31 |
3%
|
|||
| 32 |
6%
|
|||
| 33 |
7%
|
|||
| 34 |
7%
|
|||
| 35 |
5%
|
|||
| 36 |
6%
|
|||
| 37 |
8%
|
|||
| 38 |
6%
|
|||
| 39 |
5%
|
|||
| 40 |
5%
|
|||
| 41 |
4%
|
|||
| 42 |
4%
|
|||
| 43 |
3%
|
|||
| 44 |
2%
|
active last 365d, n=1,013 | ||
โณ๏ธ Nomads by nationality |
||||
| # | Country | People | % | |
| 1 | ๐บ๐ธ United States | 55,862,652 | 42% | |
| 2 | ๐ฌ๐ง United Kingdom | 9,126,077 | 7% | |
| 3 | ๐จ๐ฆ Canada | 6,107,892 | 5% | |
| 4 | ๐ท๐บ Russia | 5,869,488 | 4% | |
| 5 | ๐ฉ๐ช Germany | 5,631,085 | 4% | |
| 6 | ๐ซ๐ท France | 4,710,848 | 4% | |
| 7 | ๐ง๐ท Brazil | 3,614,193 | 3% | |
| 8 | ๐ฆ๐บ Australia | 3,142,155 | 2% | |
| 9 | ๐ณ๐ฑ Netherlands | 2,498,466 | 2% | |
| 10 | ๐ช๐ธ Spain | 2,479,394 | 2% | |
| 11 | ๐ฎ๐ณ India | 2,474,626 | 2% | |
| 12 | ๐ฎ๐น Italy | 2,012,124 | 2% | |
| 13 | ๐บ๐ฆ Ukraine | 1,945,371 | 1% | |
| 14 | ๐ต๐ฑ Poland | 1,659,287 | 1% | |
| 15 | ๐จ๐ญ Switzerland | 1,354,131 | 1% | |
| 16 | ๐น๐ท Turkey | 1,039,438 | 1% | |
| 17 | ๐ฆ๐น Austria | 1,015,598 | 1% | |
| 18 | ๐ฏ๐ต Japan | 958,381 | 1% | |
| 19 | ๐ธ๐ช Sweden | 934,541 | 1% | |
| 20 | ๐ฎ๐ช Ireland | 915,469 | 1% | |
| 21 | ๐ฎ๐ฑ Israel | 839,179 | 1% | |
| 22 | ๐ง๐ช Belgium | 820,107 | 1% | |
| 23 | ๐จ๐ฟ Czechia | 796,267 | 1% | |
| 24 | ๐ฐ๐ท South Korea | 772,427 | 1% | |
| 25 | ๐ฆ๐ท Argentina | 748,586 | 1% | |
| 26 | ๐ต๐น Portugal | 739,050 | 1% | |
| 27 | ๐ฟ๐ฆ South Africa | 715,210 | 1% | |
| 28 | ๐ฒ๐ฝ Mexico | 715,210 | 1% | |
| 29 | ๐ท๐ด Romania | 696,138 | 1% | |
| 30 | ๐จ๐ณ China | 667,529 | 0% | n=28,025 |
๐ถ Nomads by gender |
||||
| Gender | % | |||
| ๐จโ Men |
82%
|
|||
| ๐ฑโโ๏ธ Women |
18%
|
|||
| ๐ง Other |
0%
|
active last 365d, n=14,554 | ||
๐ Nomads by sexuality |
||||
| Sexuality | % | |||
| ๐ Heterosexual |
88%
|
|||
| ๐ฆ Bisexual |
7%
|
|||
| ๐ณ๏ธโ๐ Gay or lesbian |
5%
|
n=17,904 | ||
๐ Nomads by beliefs |
||||
| Religion | % | |||
| ๐ซ Not religious |
51%
|
|||
| ๐ Spirituality |
28%
|
|||
| โช๏ธ Christianity |
11%
|
|||
| ๐ Buddhism |
3%
|
|||
| ๐ Islam |
3%
|
|||
| โจ Astrology |
2%
|
|||
| ๐ Judaism |
2%
|
|||
| ๐ Hinduism |
1%
|
|||
| ๐ณ Sikhism |
0%
|
n=9,342 | ||
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=8,495 | ||
๐ Education |
||||
| Education | % | |||
| ๐ High School |
9%
|
|||
| ๐ Higher education |
91%
|
|||
| ↱๐ Bachelor's |
53%
|
|||
| ↱๐ Master's |
34%
|
|||
| ↱๐ฉโ๐ซ PhD |
3%
|
n=19,715 | ||
โค๏ธ Nomads by relationship |
||||
| Relationship | % | |||
| ๐ Single |
67%
|
|||
| ๐ In a relationship |
33%
|
n=11,361 | ||
๐ Nomads looking for |
||||
| Looking for | % | |||
| ๐ค Friends |
36%
|
|||
| ๐ Travel buddies |
32%
|
|||
| ๐น Casual dating |
15%
|
|||
| โค๏ธ Relationship |
13%
|
|||
| ๐ Poly dating |
4%
|
n=66,393 | ||
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 | $125,206 / y | |||
| Median | $85,000 / y | n=5,845 | ||
๐ฐ Nomads by employment |
||||
| Employment type | % | |||
| Full time |
37%
|
|||
| Freelance |
19%
|
|||
| Startup founder |
19%
|
|||
| Full time contractor |
9%
|
|||
| Agency |
8%
|
|||
| Other |
6%
|
|||
| Part time |
2%
|
|||
| Part time contractor |
1%
|
n=7,547 | ||
๐ก Where do nomads work from |
||||
| Place | % | |||
| ๐ก Home office |
58%
|
|||
| ๐ฌ Coworking |
15%
|
|||
| โ๏ธ Cafe |
8%
|
|||
| ๐ข Office |
8%
|
|||
| ๐ Couch |
3%
|
|||
| ๐ฝ Dining table |
3%
|
|||
| ๐ Bed |
2%
|
|||
| ๐ช Balcony |
1%
|
|||
| ๐ Van |
1%
|
|||
| ๐ช Kitchen |
0%
|
|||
| ๐ชด Garden |
0%
|
|||
| ๐ฅ Boat |
0%
|
|||
| ๐ฆ Pool |
0%
|
|||
| ๐ Library |
0%
|
n=6,332 | ||
๐ฌ What messaging apps nomads use? |
||||
| Messaging app | % | |||
| Telegram |
50%
|
|||
|
43%
|
||||
| Snapchat |
3%
|
|||
|
2%
|
||||
|
0%
|
||||
| LINE |
0%
|
|||
| Slack |
0%
|
n=6,228 | ||
โ๏ธ Nomad men by politics |
||||
| Politics | % | |||
| ๐ณ๏ธโ๐ Progressive |
44%
|
|||
| โ๏ธ Non-progressive |
56%
|
|||
| ↱๐ฝ Libertarian |
27%
|
|||
| ↱โ๏ธ Centrist |
21%
|
|||
| ↱๐ด Conservative |
8%
|
n=3,897 | ||
โ๏ธ Nomad women by politics |
||||
| Politics | % | |||
| ๐ณ๏ธโ๐ Progressive |
72%
|
|||
| โ๏ธ Non-progressive |
28%
|
|||
| ↱๐ฝ Libertarian |
12%
|
|||
| ↱โ๏ธ Centrist |
12%
|
|||
| ↱๐ด Conservative |
3%
|
n=889 | ||
๐ฅฉ 77% of ๐จโ men eat meat
๐ฅฉ 57% of ๐ฑโโ๏ธwomen eat meat
๐ซ 37% 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 Vegetarian |
10%
|
|||
| ↱๐ฅ Vegan |
10%
|
|||
| ↱๐ Pescetarian |
4%
|
n=6,031 | ||
๐ Nomad women by diet |
||||
| Diet | % | |||
| ๐ฅฉ Eats meat |
57%
|
|||
| ๐ซ Does not eat meat |
43%
|
|||
| ↱๐ฅ Vegetarian |
19%
|
|||
| ↱๐ฅ Vegan |
15%
|
|||
| ↱๐ Pescetarian |
10%
|
n=1,276 | ||
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 |
28%
|
|||
| ๐ด Cycling |
24%
|
|||
| ๐ Swimming |
23%
|
|||
| ๐คธโโ๏ธ Yoga |
20%
|
|||
| ๐ Surfing |
18%
|
|||
| ๐ Diving |
15%
|
|||
| ๐ Snowboarding |
15%
|
|||
| โท Skiing |
15%
|
|||
| โฐ Climbing |
15%
|
|||
| ๐พ Tennis |
14%
|
|||
| ๐ Motorcycling |
13%
|
|||
| ๐ช Fight sports |
10%
|
|||
| ๐ Table tennis |
9%
|
n=11,714 | ||
๐ Nomad women by sports |
||||
| Sport | % | |||
| ๐ฅพ Hiking |
51%
|
|||
| ๐คธโโ๏ธ Yoga |
45%
|
|||
| ๐ช Fitness |
40%
|
|||
| ๐ Swimming |
25%
|
|||
| 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%
|
|||
| ๐ Volleyball |
5%
|
n=2,682 | ||
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 | 4.38 | ||
| 3 | ๐น๐ญ Chiang Mai | 4.29 | ||
| 4 | ๐ธ๐ฌ Singapore | 4.17 | ||
| 5 | ๐ฒ๐ฝ Mexico City | 4.17 | ||
| 6 | ๐ฏ๐ต Osaka | 4.17 | ||
| 7 | ๐ช๐ธ Madrid | 4.17 | ||
| 8 | ๐จ๐ฟ Prague | 4.17 | ||
| 9 | ๐ณ๐ฑ Amsterdam | 4.17 | ||
| 10 | ๐น๐ญ Bangkok | 4.12 | ||
| 11 | ๐ต๐ฑ Krakรณw | 4.00 | ||
| 12 | ๐บ๐ธ New York City | 4.00 | ||
| 13 | ๐ฎ๐ฉ Ubud | 4.00 | ||
| 14 | ๐ฏ๐ต Fukuoka | 4.00 | ||
| 15 | ๐ฆ๐ช Dubai | 4.00 | n=6,779 | |
๐ Most liked cities by women |
||||
| # | City | Rating | ||
| 1 | ๐จ๐ด Medellรญn | 3.75 | ||
| 2 | ๐น๐ญ Bangkok | 3.33 | ||
| 3 | ๐น๐ญ Chiang Mai | 3.33 | ||
| 4 | ๐ป๐ณ Da Nang | 3.33 | ||
| 5 | ๐ต๐น Azores | 3.33 | ||
| 6 | ๐ฌ๐ช Tbilisi | 3.33 | ||
| 7 | ๐ฒ๐ฝ Mexico City | 3.33 | ||
| 8 | ๐ช๐ธ Valencia | 3.33 | ||
| 9 | ๐ฌ๐น Antigua | 3.33 | ||
| 10 | ๐ฆ๐บ Sydney | 3.33 | ||
| 11 | ๐ฆ๐ท Buenos Aires | 3.33 | ||
| 12 | ๐ณ๐ฑ The Hague | 3.33 | ||
| 13 | ๐ธ๐ช Stockholm | 3.33 | ||
| 14 | ๐ง๐ฌ Bansko | 3.33 | ||
| 15 | ๐ป๐ณ Hue | 3.33 | n=6,779 | |
๐ Most visited cities |
||||
| # | City | % visited | ||
| 1 | ๐น๐ญ Bangkok | 2.22% | ||
| 2 | ๐ฌ๐ง London | 2.19% | ||
| 3 | ๐ช๐ธ Barcelona | 1.48% | ||
| 4 | ๐ซ๐ท Paris | 1.46% | ||
| 5 | ๐บ๐ธ New York City | 1.46% | ||
| 6 | ๐ต๐น Lisbon | 1.43% | ||
| 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 | 0.93% | ||
| 13 | ๐ฎ๐ฉ Canggu | 0.91% | ||
| 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 | 0.71% | ||
| 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=429,586 | |
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 | ๐ฏ๐ต Japan | 2% | ||
| 12 | ๐ง๐ท Brazil | 2% | ||
| 13 | ๐จ๐ฆ Canada | 2% | ||
| 14 | ๐ณ๐ฑ Netherlands | 2% | ||
| 15 | ๐ป๐ณ Vietnam | 2% | ||
| 16 | ๐น๐ท Turkey | 2% | ||
| 17 | ๐ท๐บ Russia | 1% | ||
| 18 | ๐ต๐ฑ Poland | 1% | ||
| 19 | ๐จ๐ด Colombia | 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=429,586 | |
๐ Avg. COโ by member traveling |
||||
| Year | COโ | |||
| 2013 |
674 kg/y
|
|||
| 2014 |
985 kg/y
|
|||
| 2015 |
1,075 kg/y
|
|||
| 2016 |
1,285 kg/y
|
|||
| 2017 |
1,462 kg/y
|
|||
| 2018 |
1,537 kg/y
|
|||
| 2019 |
1,569 kg/y
|
|||
| 2020 |
990 kg/y
|
|||
| 2021 |
1,002 kg/y
|
|||
| 2022 |
1,570 kg/y
|
|||
| 2023 |
1,721 kg/y
|
|||
| 2024 |
1,696 kg/y
|
|||
| 2025 |
1,598 kg/y
|
|||
| 2026 |
1,639 kg/y
|
|||
| Average | 1,307 kg/y | |||
| Median | 1,373 kg/y |
Based on 429,586 trips by 16,323 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 1,373 kg/y, or 73% less COโ than the average American on travel and commuting. |
||
๐จ Where men go most |
||||
| # | Tag | vs. ๐ฑโโ๏ธ | ||
| 1 | ๐น๐ญ Bangkok | +25% | ||
| 2 | ๐ต๐น Lisbon | -16% | ||
| 3 | ๐ช๐ธ Barcelona | -10% | ||
| 4 | ๐ฌ๐ง London | -22% | ||
| 5 | ๐น๐ญ Chiang Mai | -2% | ||
| 6 | ๐ซ๐ท Paris | -23% | ||
| 7 | ๐ณ๐ฑ Amsterdam | +1% | ||
| 8 | ๐ฉ๐ช Berlin | -3% | ||
| 9 | ๐ฎ๐ฉ Canggu | +4% | ||
| 10 | ๐ฏ๐ต Tokyo | +15% | ||
| 11 | ๐น๐ท Istanbul | +7% | ||
| 12 | ๐ธ๐ฌ Singapore | +13% | ||
| 13 | ๐ฒ๐พ Kuala Lumpur | +28% | ||
| 14 | ๐ฒ๐ฝ Mexico City | -20% | ||
| 15 | ๐ญ๐บ Budapest | +16% | median temp=18°C; n=429,586 | |
๐ฑโโ๏ธ Where women go most |
||||
| # | Tag | vs. ๐จ | ||
| 1 | ๐ต๐น Lisbon | +19% | ||
| 2 | ๐ฌ๐ง London | +28% | ||
| 3 | ๐น๐ญ Bangkok | -20% | ||
| 4 | ๐ซ๐ท Paris | +30% | ||
| 5 | ๐ช๐ธ Barcelona | +11% | ||
| 6 | ๐น๐ญ Chiang Mai | +2% | ||
| 7 | ๐ฒ๐ฝ Mexico City | +26% | ||
| 8 | ๐ฉ๐ช Berlin | +3% | ||
| 9 | ๐ณ๐ฑ Amsterdam | -1% | ||
| 10 | ๐ฎ๐น Rome | +27% | ||
| 11 | ๐ฎ๐ฉ Canggu | -4% | ||
| 12 | ๐น๐ท Istanbul | -6% | ||
| 13 | ๐ฎ๐ฉ Ubud | +31% | ||
| 14 | ๐ฏ๐ต Tokyo | -13% | ||
| 15 | ๐ธ๐ฌ Singapore | -11% | median temp=18°C; n=429,586 | |
๐จ Where men go more |
||||
| # | Tag | vs. women | ||
| 1 | ๐ท๐บ Russia | +78% | ||
| 2 | ๐ต๐ฑ Poland | +64% | ||
| 3 | ๐ฌ๐ช Georgia | +50% | ||
| 4 | ๐ท๐ด Romania | +47% | ||
| 5 | ๐ต๐ญ Philippines | +36% | ||
| 6 | ๐ญ๐ฐ Hong Kong | +31% | ||
| 7 | ๐ท๐ธ Serbia | +28% | ||
| 8 | ๐ฆ๐ช United Arab Emirates | +28% | ||
| 9 | ๐จ๐ณ China | +26% | ||
| 10 | ๐จ๐ฟ Czechia | +21% | ||
| 11 | ๐ฏ๐ต Japan | +21% | ||
| 12 | ๐ป๐ณ Vietnam | +19% | ||
| 13 | ๐ณ๐ด Norway | +18% | ||
| 14 | ๐ฒ๐พ Malaysia | +17% | ||
| 15 | ๐ญ๐บ Hungary | +16% | median temp=13°C; n=429,586 | |
๐ฑโโ๏ธ Where women go more |
||||
| # | Tag | vs. men | ||
| 1 | ๐จ๐ท Costa Rica | +52% | ||
| 2 | ๐ฟ๐ฆ South Africa | +49% | ||
| 3 | ๐ฒ๐ฝ Mexico | +38% | ||
| 4 | ๐ฌ๐ง United Kingdom | +31% | ||
| 5 | ๐ญ๐ท Croatia | +29% | ||
| 6 | ๐ซ๐ท France | +23% | ||
| 7 | ๐ฎ๐น Italy | +21% | ||
| 8 | ๐จ๐ฑ Chile | +19% | ||
| 9 | ๐ฌ๐ท Greece | +14% | ||
| 10 | ๐ฆ๐บ Australia | +13% | ||
| 11 | ๐ต๐น Portugal | +12% | ||
| 12 | ๐ต๐ช Peru | +10% | ||
| 13 | ๐ฎ๐ช Ireland | +9% | ||
| 14 | ๐ช๐ธ Spain | +7% | ||
| 15 | ๐ฆ๐ท Argentina | +7% | median temp=18°C; n=429,586 | |
๐ Most liked countries |
||||
| # | Country | Rating | ||
| 1 | ๐ฏ๐ต Japan | 4.85 | ||
| 2 | ๐ญ๐บ Hungary | 4.65 | ||
| 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=4,015 | |
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 | ๐ด Kurdistan | 2.5 | ||
| 15 | ๐จ๐ฒ Cameroon | 2.5 | n=4,015 | |
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 | 63 days (2 months) | |||
| Median | 7 days | n=418,623 | ||
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 | 158 days (5 months) | n=418,623 | ||
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 | 31% | +283% | |
| 2 | ๐ Startup Founder | 25% | +131% | |
| 3 | ๐ธ Web Dev | 25% | +279% | |
| 4 | ๐ Marketing | 14% | -11% | |
| 5 | ๐ SaaS | 12% | +183% | |
| 6 | ๐ฉโ๐จ Creative | 11% | -28% | |
| 7 | ๐ฑ Mobile Dev | 10% | +348% | |
| 8 | ๐จ UI/UX Design | 10% | +22% | |
| 9 | ๐ค Product Manager | 10% | +55% | |
| 10 | ๐ Data | 9% | +79% | |
| 11 | ๐ฐ Crypto | 9% | +266% | |
| 12 | ๐ฐ Finance | 9% | +109% | |
| 13 | ๐ Ecommerce | 8% | +86% | |
| 14 | ๐ค Sales | 7% | +68% | |
| 15 | ๐ Dev Ops | 6% | +435% | n=26,108 |
๐ฑโโ๏ธ Nomad women work as |
||||
| # | Work | % | vs. men | |
| 1 | ๐ Marketing | 15% | +12% | |
| 2 | ๐ฉโ๐จ Creative | 15% | +40% | |
| 3 | ๐ Startup Founder | 11% | -57% | |
| 4 | ๐ป Software Dev | 8% | -74% | |
| 5 | ๐จ UI/UX Design | 8% | -18% | |
| 6 | ๐ค Community | 8% | +49% | |
| 7 | ๐จโ๐ซ Education | 7% | +35% | |
| 8 | ๐ Blogging | 7% | +41% | |
| 9 | ๐ Coach | 7% | +45% | |
| 10 | ๐ธ Web Dev | 7% | -74% | |
| 11 | ๐ค Product Manager | 6% | -36% | |
| 12 | ๐ Data | 5% | -44% | |
| 13 | ๐ SaaS | 4% | -65% | |
| 14 | ๐ฐ Finance | 4% | -52% | |
| 15 | ๐ Ecommerce | 4% | -46% | n=6,742 |
๐จ Nomad men vs. women |
||||
| # | Tag | vs. women | ||
| 1 | ๐ Dev Ops | +435% | ||
| 2 | ๐ก Sysadmin | +391% | ||
| 3 | ๐ Engineering | +385% | ||
| 4 | ๐ฑ Mobile Dev | +348% | ||
| 5 | ๐ Investor | +344% | ||
| 6 | ๐พ Game Dev | +324% | ||
| 7 | ๐ช Military | +313% | ||
| 8 | ๐ค AI | +309% | ||
| 9 | ๐ป Software Dev | +283% | ||
| 10 | ๐ธ Web Dev | +279% | ||
| 11 | ๐ฐ Crypto | +266% | ||
| 12 | ๐ค AI model | +227% | ||
| 13 | ๐ก๏ธ InfoSec | +222% | ||
| 14 | ๐ SaaS | +183% | ||
| 15 | ๐ VR Dev | +151% | n=32,747 | |
๐ฑโโ๏ธ Nomad women vs. men |
||||
| # | Tag | vs. men | ||
| 1 | ๐ธ House wife | +132% | ||
| 2 | ๐งโ๐ผ Human resources | +105% | ||
| 3 | ๐ Tradwife | +94% | ||
| 4 | ๐ฐ Journalism | +80% | ||
| 5 | ๐ง Psychologist | +79% | ||
| 6 | ๐ Support | +63% | ||
| 7 | ๐ Hospitality | +57% | ||
| 8 | ๐จโโ๏ธ Medical | +49% | ||
| 9 | ๐ค Community | +49% | ||
| 10 | ๐ Coach | +45% | ||
| 11 | ๐ฅ Healthcare | +44% | ||
| 12 | ๐ Blogging | +41% | ||
| 13 | ๐ฉโ๐จ Creative | +40% | ||
| 14 | ๐จโ๐ซ Education | +35% | ||
| 15 | ๐ Recruitment | +34% | n=32,747 | |
โ๏ธ Coffee
๐ฌ๐ง Speaks English
๐ Optimist
โฐ Outdoors
๐ช Fitness
๐ฅพ Hiking
๐จโ Nomad men |
||||
| # | Tag | % | vs. ๐ฑโโ๏ธ | |
| 1 | โ๏ธ Coffee | 33% | +15% | |
| 2 | ๐ฌ๐ง Speaks English | 29% | +11% | |
| 3 | ๐ Optimist | 28% | +18% | |
| 4 | ๐ช Fitness | 23% | +37% | |
| 5 | ๐ Single | 22% | +21% | |
| 6 | โฐ Outdoors | 22% | -5% | |
| 7 | ๐ฅพ Hiking | 22% | +3% | |
| 8 | ๐ COVID vaccinated | 22% | +10% | |
| 9 | ๐ง Open-minded | 22% | +12% | |
| 10 | ๐ถ Dogs | 21% | -5% | |
| 11 | โ๏ธ Waking up early | 21% | +14% | |
| 12 | ๐บ Beer | 20% | +110% | |
| 13 | ๐ Staying up late | 20% | +42% | |
| 14 | ๐ Reading | 20% | -4% | |
| 15 | ๐ญ No smoking | 19% | +12% | n=26,108 |
๐ฑโโ๏ธ Nomad women |
||||
| # | Tag | % | vs. ๐จโ | |
| 1 | โ๏ธ Coffee | 29% | -13% | |
| 2 | ๐ฌ๐ง Speaks English | 26% | -10% | |
| 3 | ๐ Optimist | 23% | -15% | |
| 4 | โฐ Outdoors | 23% | +6% | |
| 5 | ๐ถ Dogs | 22% | +5% | |
| 6 | ๐ฅพ Hiking | 21% | -3% | |
| 7 | ๐ท Wine | 21% | +11% | |
| 8 | ๐ Reading | 21% | +4% | |
| 9 | ๐ COVID vaccinated | 20% | -9% | |
| 10 | ๐ต Tea | 20% | +13% | |
| 11 | ๐ง Open-minded | 19% | -11% | |
| 12 | ๐คธโโ๏ธ Yoga | 19% | +103% | |
| 13 | ๐ Single | 19% | -17% | |
| 14 | โ๏ธ Waking up early | 18% | -12% | |
| 15 | ๐ช Fitness | 17% | -27% | n=6,742 |
๐จ Nomad men vs. women |
||||
| # | Tag | vs. ๐ฑโโ๏ธ | ||
| 1 | ๐จ No beard | +546% | ||
| 2 | โฝ๏ธ Football | +367% | ||
| 3 | ๐งโ Short hair | +338% | ||
| 4 | ๐ช Dropout | +255% | ||
| 5 | โ๏ธ Private pilot | +242% | ||
| 6 | ๐ Basketball | +232% | ||
| 7 | ๐ Ice hockey | +228% | ||
| 8 | ๐ Race sports | +195% | ||
| 9 | ๐ Table tennis | +191% | ||
| 10 | โ๏ธ Chess | +191% | ||
| 11 | ๐ Motorcycling | +189% | ||
| 12 | ๐ Hindu | +188% | ||
| 13 | ๐ด Conservative politics | +186% | ||
| 14 | ๐ช Fight sports | +177% | ||
| 15 | ๐ง Hardstyle music | +150% | n=32,747 | |
๐ฑโโ๏ธ Nomad women vs. men |
||||
| # | Tag | vs. ๐จ | ||
| 1 | ๐ Makeup | +3,988% | ||
| 2 | ๐คธโโ๏ธ Pilates | +1,039% | ||
| 3 | ๐ฑโโ๏ธ Long hair | +385% | ||
| 4 | ๐ถ Ceramics | +384% | ||
| 5 | โฑ๏ธ Luxury brands | +287% | ||
| 6 | ๐ Dress up | +277% | ||
| 7 | โจ Astrology | +271% | ||
| 8 | ๐ช Feminism | +249% | ||
| 9 | ๐ถ Pottery | +210% | ||
| 10 | โจ Believe in astrology | +182% | ||
| 11 | ๐ฅ Red hair | +166% | ||
| 12 | ๐ Jewelry | +158% | ||
| 13 | ๐ Fashion | +142% | ||
| 14 | ๐จ Drawing | +139% | ||
| 15 | ๐ฆพ Disabled | +136% | n=32,747 | |
๐ Nomads by vaccination |
||||
| Vaccinated | % | |||
| ๐ COVID vaccinated |
92%
|
|||
| ๐ Not COVID vaccinated |
8%
|
n=8,490 | ||
๐ Vaccination (men) | ||||
| Vaccinated | % | |||
| ๐ Vaccinated | 92% | |||
| ๐ Not vaccinated | 8% | n=6,231 | ||
๐ Vaccination (women) | ||||
| Vaccinated | % | |||
| ๐ Vaccinated | 93% | |||
| ๐ Not vaccinated | 7% | n=1,446 | ||
โค๏ธ Nomads by family |
||||
| Relationship | % | |||
| โค๏ธ Close to parents |
82%
|
|||
| ๐ Not close to parents |
18%
|
n=2,641 | ||
๐ถ Nomads by childhood |
||||
| Childhood | % | |||
| ๐ Happy childhood |
89%
|
|||
| ๐ Unhappy childhood |
11%
|
n=2,851 | ||
๐จ Childhood (men) | ||||
| Childhood | % | |||
| ๐ Happy childhood | 90% | |||
| ๐ Unhappy childhood | 10% | n=2,172 | ||
๐ฉ Childhood (women) | ||||
| Childhood | % | |||
| ๐ Happy childhood | 87% | |||
| ๐ Unhappy childhood | 13% | n=415 | ||
๐ก Homeownership amongst nomads |
||||
| Homeownership | % | |||
| ๐ก Homeowner |
55%
|
|||
| ๐ก Not a homeowner |
45%
|
n=3,074 | ||
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 In a relationship
๐งฌ Longevity
๐ My parents separated
๐ Volleyball
๐ง Only child
๐จโ Most attractive men's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐งฌ Longevity | +277% | ||
| 2 | ๐ Creatine | +215% | ||
| 3 | ๐ฆ Sparkling water | +165% | ||
| 4 | ๐ข Slowmad | +136% | ||
| 5 | ๐ In a relationship | +135% | ||
| 6 | ๐ธ Padel | +128% | ||
| 7 | ๐ฆ Still water | +118% | ||
| 8 | ๐ค Podcast | +103% | ||
| 9 | ๐ฒ Board games | +92% | ||
| 10 | ๐๏ธ Live near the beach | +87% | ||
| 11 | ๐ Basketball | +80% | ||
| 12 | โจ Believe in astrology | +77% | ||
| 13 | ๐ฅ Soft boiled eggs | +75% | ||
| 14 | โณ๏ธ Golf | +69% | ||
| 15 | ๐ง Dubstep music | +68% | ||
| 16 | ๐ก Homeowner | +67% | ||
| 17 | ๐ Not COVID vaccinated | +65% | ||
| 18 | ๐ง Hiphop music | +64% | ||
| 19 | ๐ฌ ๐ | +63% | ||
| 20 | โค๏ธ Happy childhood | +58% | ||
| 21 | ๐ฏ๐ฒ Reggae music | +57% | ||
| 22 | ๐ Kitesurfing | +56% | ||
| 23 | ๐ถ Middle child | +56% | ||
| 24 | ๐๏ธโ Weightlifting | +56% | ||
| 25 | ๐ Free diving | +55% | ||
| 26 | ๐ก Not a homeowner | +55% | ||
| 27 | ๐ถ Parent | +54% | ||
| 28 | ๐ Extrovert | +54% | ||
| 29 | ๐งโ Short hair | +54% | ||
| 30 | ๐ง House music | +53% | n=32,747 | |
๐ฑโโ๏ธ Most attractive women's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ฉ Samoyeds | +229% | ||
| 2 | ๐ My parents separated | +226% | ||
| 3 | ๐ง Only child | +225% | ||
| 4 | ๐ Volleyball | +206% | ||
| 5 | ๐พ Tennis | +201% | ||
| 6 | ๐ Shopping | +192% | ||
| 7 | ๐ฌ Social smoker | +192% | ||
| 8 | ๐ Table tennis | +182% | ||
| 9 | ๐ Running | +172% | ||
| 10 | ๐ง Trance music | +170% | ||
| 11 | ๐ In a relationship | +165% | ||
| 12 | ๐งผ Clean freak | +165% | ||
| 13 | ๐ Surfing | +150% | ||
| 14 | โท Skiing | +147% | ||
| 15 | ๐ฝ Libertarian politics | +147% | ||
| 16 | ๐จโ๐ค Partying | +144% | ||
| 17 | โฌ๏ธ Has no tattoos | +137% | ||
| 18 | ๐ Pescetarian | +134% | ||
| 19 | ๐ด Cycling | +123% | ||
| 20 | ๐ฅ Vegan | +118% | ||
| 21 | ๐ Motorcycling | +116% | ||
| 22 | ๐ฅ Hard boiled eggs | +116% | ||
| 23 | ๐ Backpacking | +115% | ||
| 24 | ๐บ Beer | +113% | ||
| 25 | ๐จ๐ณ Chinese food | +112% | ||
| 26 | ๐ 420 | +112% | ||
| 27 | ๐ Vanlife | +110% | ||
| 28 | ๐ Staying up late | +109% | ||
| 29 | ๐ Diving | +105% | ||
| 30 | ๐ซ Not religious | +105% | n=32,747 | |
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.
๐ FetLife
๐ Makeup
๐ Fashion
โฑ๏ธ Luxury brands
๐ช Skydiving
๐ฐ๐ท K-pop music
๐จโ Most unattractive men's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ FetLife | -2,594% | ||
| 2 | ๐ Makeup | -555% | ||
| 3 | ๐ช Skydiving | -245% | ||
| 4 | ๐ฐ๐ท K-pop music | -195% | ||
| 5 | โฑ๏ธ Luxury brands | -155% | ||
| 6 | ๐ Bodyboarding | -86% | ||
| 7 | ๐ง Garage music | -84% | ||
| 8 | ๐ถโ๐ซ๏ธ Hang gliding | -78% | ||
| 9 | ๐ณ Bowling | -78% | ||
| 10 | ๐ญ Swinging | -71% | ||
| 11 | ๐ช Paragliding | -43% | ||
| 12 | ๐ง Trance music | -33% | ||
| 13 | ๐ Cricket | -32% | ||
| 14 | ๐ฉ Samoyeds | -25% | ||
| 15 | ๐ Single | -24% | ||
| 16 | ๐ Motorcycling | -21% | ||
| 17 | ๐ Urbex | -21% | ||
| 18 | ๐ Sex positive | -20% | ||
| 19 | ๐จโ๐ฆฒ Bald | -17% | ||
| 20 | ๐ Fashion | -13% | ||
| 21 | ๐จ No beard | -11% | ||
| 22 | ๐ป Gardening | -11% | ||
| 23 | ๐ Kink | -10% | ||
| 24 | ๐ Paleo | -8% | ||
| 25 | ๐ Shopping | -8% | ||
| 26 | ๐ Religious | -7% | ||
| 27 | โ๏ธ Private pilot | -7% | ||
| 28 | ๐ Race sports | -6% | ||
| 29 | โ๏ธ Doesn't want kids | -6% | ||
| 30 | ๐ Dancing | -5% | n=32,747 | |
๐ฑโโ๏ธ Most unattractive women's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ฅ Messy | -2,164% | ||
| 2 | ๐ธ Anime | -1,373% | ||
| 3 | ๐ข Slowmad | -1,046% | ||
| 4 | ๐ง Pessimist | -991% | ||
| 5 | ๐ฌ Daily smoker | -991% | ||
| 6 | ๐๏ธ Live near the beach | -909% | ||
| 7 | ๐ฆ Still water | -909% | ||
| 8 | ๐ง Bouldering | -882% | ||
| 9 | ๐งฌ Longevity | -718% | ||
| 10 | ๐ด Conservative politics | -636% | ||
| 11 | ๐ค Podcast | -527% | ||
| 12 | ๐ฆ Sparkling water | -500% | ||
| 13 | ๐ Fashion | -445% | ||
| 14 | ๐ฌ Snapchat | -418% | ||
| 15 | ๐ Nails | -391% | ||
| 16 | ๐ต๐ท Reggaeton music | -336% | ||
| 17 | ๐ Creatine | -309% | ||
| 18 | ๐ Vintage | -309% | ||
| 19 | ๐ฌ TikTok | -309% | ||
| 20 | ๐ FetLife | -255% | ||
| 21 | ๐๏ธ Live in the mountains | -227% | ||
| 22 | ๐ถ Pottery | -227% | ||
| 23 | ๐งถ Knitting | -145% | ||
| 24 | ๐ Pickleball | -145% | ||
| 25 | ๐ High heels | -145% | ||
| 26 | โจ Believe in astrology | -126% | ||
| 27 | ๐ Jewelry | -118% | ||
| 28 | โค๏ธ Happy childhood | -94% | ||
| 29 | ๐ Basketball | -91% | ||
| 30 | ๐ Field hockey | -91% | n=32,747 | |
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).
๐ฑ Mobile Dev
๐ Recruitment
๐จ Artist
๐ค Community
๐ SaaS
๐จ UI/UX Design
๐จโ Attractive men's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐จ Artist | +171% | ||
| 2 | ๐ค Consulting | +93% | ||
| 3 | ๐ต Music | +92% | ||
| 4 | ๐จโโ๏ธ Medical | +82% | ||
| 5 | ๐น Content Creator | +75% | ||
| 6 | ๐ค AI model | +69% | ||
| 7 | ๐ธ Model | +68% | ||
| 8 | ๐ SaaS | +65% | ||
| 9 | ๐จ UI/UX Design | +61% | ||
| 10 | ๐ Recruitment | +58% | ||
| 11 | ๐ Engineering | +55% | ||
| 12 | ๐ง Psychologist | +48% | ||
| 13 | ๐ Coach | +46% | ||
| 14 | ๐ค Product Manager | +46% | ||
| 15 | ๐ Logistics | +45% | ||
| 16 | ๐ Ecommerce | +43% | ||
| 17 | ๐ฑ Mobile Dev | +38% | ||
| 18 | ๐ Marketing | +38% | ||
| 19 | ๐ค Sales | +36% | ||
| 20 | ๐ช Fitness | +33% | ||
| 21 | ๐ Startup Founder | +32% | ||
| 22 | ๐ VR Dev | +32% | ||
| 23 | ๐ Dev Ops | +31% | ||
| 24 | ๐ Data | +30% | ||
| 25 | ๐ป Software Dev | +29% | ||
| 26 | ๐พ Game Dev | +23% | ||
| 27 | ๐ธ Web Dev | +21% | ||
| 28 | ๐ค Community | +20% | ||
| 29 | ๐ Sports | +19% | ||
| 30 | ๐ Blogging | +18% | n=32,747 | |
๐ฑโโ๏ธ Attractive women's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐ฑ Mobile Dev | +168% | ||
| 2 | ๐ Recruitment | +125% | ||
| 3 | ๐ค Community | +114% | ||
| 4 | ๐ฉโ๐จ Creative | +84% | ||
| 5 | ๐ช Fitness | +79% | ||
| 6 | ๐ป Software Dev | +74% | ||
| 7 | ๐ Coach | +69% | ||
| 8 | ๐ Startup Founder | +69% | ||
| 9 | ๐จโ๐ซ Education | +66% | ||
| 10 | ๐ฐ Journalism | +59% | ||
| 11 | ๐ Blogging | +58% | ||
| 12 | ๐จ UI/UX Design | +58% | ||
| 13 | ๐ SaaS | +57% | ||
| 14 | ๐ Marketing | +43% | ||
| 15 | ๐ Ecommerce | +39% | ||
| 16 | ๐ธ Web Dev | +39% | ||
| 17 | ๐ค Product Manager | +36% | ||
| 18 | ๐ฐ Finance | +7% | n=32,747 | |
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
๐จ Stay-at-home dad
๐ช Military
๐ Real estate
๐ก๏ธ InfoSec
๐ฉโ๐ผ Law
๐จโ Most unattractive men's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐จ Stay-at-home dad | -555% | ||
| 2 | ๐ช Military | -482% | ||
| 3 | ๐ฉโ๐ผ Law | -99% | ||
| 4 | ๐ฉ Politics | -80% | ||
| 5 | ๐ฐ Journalism | -48% | ||
| 6 | ๐ก Architecture | -38% | ||
| 7 | ๐ก๏ธ InfoSec | -21% | ||
| 8 | ๐ Real estate | -15% | ||
| 9 | โ๏ธ Aviation | -9% | ||
| 10 | ๐ถ Adult | -6% | ||
| 11 | ๐บ Geo | -5% | ||
| 12 | ๐ Support | -2% | n=32,747 | |
๐ฑโโ๏ธ Most unattractive women's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐ฉ Politics | -1,373% | ||
| 2 | ๐น Content Creator | -1,291% | ||
| 3 | ๐จ Artist | -691% | ||
| 4 | ๐ VR Dev | -636% | ||
| 5 | ๐ฅ Healthcare | -500% | ||
| 6 | ๐ Real estate | -364% | ||
| 7 | ๐ Investor | -309% | ||
| 8 | ๐ต Music | -309% | ||
| 9 | ๐ค AI model | -309% | ||
| 10 | ๐ก๏ธ InfoSec | -200% | ||
| 11 | ๐ผ Retired | -173% | ||
| 12 | ๐ Hospitality | -148% | ||
| 13 | ๐ Support | -36% | ||
| 14 | ๐ Data | -32% | ||
| 15 | ๐ Sports | -30% | ||
| 16 | ๐ค Sales | -20% | ||
| 17 | ๐ฉโ๐ผ Law | -20% | ||
| 18 | ๐ฐ Crypto | -12% | ||
| 19 | ๐บ Geo | -6% | n=32,747 | |
๐จโ Where attractive men travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐ฌ๐ท Mykonos | 5 | ||
| 2 | ๐ธ๐ช Malmรถ | 4.67 | ||
| 3 | ๐ฎ๐ฉ Uluwatu | 4.65 | ||
| 4 | ๐ณ๐ฟ Christchurch | 4.64 | ||
| 5 | ๐ต๐น Ericeira | 4.56 | ||
| 6 | ๐ช๐ธ Ibiza | 4.55 | ||
| 7 | ๐จ๐ท Tamarindo | 4.55 | ||
| 8 | ๐ณ๐ฑ Utrecht | 4.49 | ||
| 9 | ๐ช๐ธ Fuerteventura | 4.49 | ||
| 10 | ๐ณ๐ด Bergen | 4.48 | ||
| 11 | ๐ญ๐ท Zadar | 4.46 | ||
| 12 | ๐บ๐ธ Boston | 4.45 | ||
| 13 | ๐ฆ๐บ Brisbane | 4.45 | ||
| 14 | ๐ต๐น Portimรฃo | 4.41 | ||
| 15 | ๐ช๐ธ Mallorca | 4.41 | ||
| 16 | ๐ง๐ฆ Sarajevo | 4.41 | ||
| 17 | ๐ฆ๐น Salzburg | 4.39 | ||
| 18 | ๐บ๐ธ Honolulu | 4.37 | ||
| 19 | ๐ฎ๐ธ Reykjavik | 4.37 | ||
| 20 | ๐ณ๐ฟ Queenstown | 4.35 | ||
| 21 | ๐ฒ๐ฝ Cabo San Lucas | 4.34 | ||
| 22 | ๐ฆ๐บ Melbourne | 4.34 | ||
| 23 | ๐ณ๐ด Oslo | 4.33 | ||
| 24 | ๐ฎ๐น Catania | 4.32 | ||
| 25 | ๐ฌ๐ท Santorini | 4.31 | ||
| 26 | ๐ฒ๐ฆ Marrakesh | 4.31 | ||
| 27 | ๐ช๐ธ Tenerife | 4.31 | ||
| 28 | ๐ณ๐ฟ Auckland | 4.31 | ||
| 29 | ๐จ๐ญ Zurich | 4.31 | ||
| 30 | ๐น๐ญ Ko Lanta | 4.3 | Based on attractiveness of visitors n=429,586 | |
๐ฑโโ๏ธ Where attractive women travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐น๐ญ Ko Phi Phi | 5 | ||
| 2 | ๐บ๐ธ Orlando | 4.87 | ||
| 3 | ๐ญ๐ท Zadar | 4.82 | ||
| 4 | ๐ต๐ฑ Gdansk | 4.8 | ||
| 5 | ๐ต๐ฑ Wrocลaw | 4.79 | ||
| 6 | ๐ฎ๐น Genoa | 4.77 | ||
| 7 | ๐ฑ๐ฐ Galle | 4.69 | ||
| 8 | ๐ป๐ณ Nha Trang | 4.69 | ||
| 9 | ๐ฉ๐ช Dresden | 4.68 | ||
| 10 | ๐น๐ญ Ko Pha Ngan | 4.6 | ||
| 11 | ๐ท๐บ Moscow | 4.6 | ||
| 12 | ๐จ๐ฑ Valparaรญso | 4.59 | ||
| 13 | ๐น๐ญ Ko Samui | 4.59 | ||
| 14 | ๐ณ๐ฑ Rotterdam | 4.58 | ||
| 15 | ๐ฉ๐ด Punta Cana | 4.58 | ||
| 16 | ๐บ๐ฆ Kyiv | 4.58 | ||
| 17 | ๐ฎ๐ฉ Uluwatu | 4.56 | ||
| 18 | ๐ฎ๐ฑ Tel Aviv | 4.56 | ||
| 19 | ๐ป๐ณ Da Lat | 4.55 | ||
| 20 | ๐ช๐ธ Fuerteventura | 4.55 | ||
| 21 | ๐ฑ๐น Vilnius | 4.55 | ||
| 22 | ๐ฒ๐ช Budva | 4.54 | ||
| 23 | ๐ฌ๐ท Mykonos | 4.54 | ||
| 24 | ๐ฆ๐บ Cairns | 4.54 | ||
| 25 | ๐ฌ๐ท Rhodes | 4.53 | ||
| 26 | ๐ท๐บ Saint Petersburg | 4.53 | ||
| 27 | ๐ฎ๐น Amalfi | 4.53 | ||
| 28 | ๐ต๐ฑ Warsaw | 4.52 | ||
| 29 | ๐ฌ๐ช Batumi | 4.52 | ||
| 30 | ๐บ๐ธ Chicago | 4.52 | Based on attractiveness of visitors n=429,586 | |
๐จโ Where unattractive men travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐น๐ญ Pattaya | 3.29 | ||
| 2 | ๐ฎ๐ณ Goa | 3.41 | ||
| 3 | ๐ป๐ณ Phu Quoc | 3.41 | ||
| 4 | ๐ฒ๐ฉ Chisinau | 3.5 | ||
| 5 | ๐ฑ๐ฆ Vientiane | 3.52 | ||
| 6 | ๐ฎ๐ณ Bengaluru | 3.52 | ||
| 7 | ๐ฆ๐ท Cordoba | 3.55 | ||
| 8 | ๐ฒ๐ช Podgorica | 3.56 | ||
| 9 | ๐ฌ๐ช Batumi | 3.56 | ||
| 10 | ๐ณ๐ต Kathmandu | 3.57 | ||
| 11 | ๐ด๐ฒ Muscat | 3.59 | ||
| 12 | ๐ฐ๐ญ Phnom Penh | 3.59 | ||
| 13 | ๐ฎ๐ฑ Jerusalem | 3.61 | ||
| 14 | ๐บ๐ฆ Lviv | 3.62 | ||
| 15 | ๐ต๐พ Asuncion | 3.62 | ||
| 16 | ๐ฏ๐ต Hiroshima | 3.65 | ||
| 17 | ๐ช๐ฌ Cairo | 3.65 | ||
| 18 | ๐ฐ๐ฟ Almaty | 3.65 | ||
| 19 | ๐ช๐ธ Alicante | 3.65 | ||
| 20 | ๐ต๐ฆ Panama City | 3.66 | ||
| 21 | ๐ฎ๐น Turin | 3.67 | ||
| 22 | ๐ฉ๐ช Dusseldorf | 3.67 | ||
| 23 | ๐ช๐ธ Bilbao | 3.67 | ||
| 24 | ๐ต๐ฑ Wrocลaw | 3.67 | ||
| 25 | ๐ฏ๐ต Fukuoka | 3.68 | ||
| 26 | ๐บ๐ธ Seattle | 3.68 | ||
| 27 | ๐ฎ๐ณ Mumbai | 3.69 | ||
| 28 | ๐ณ๐ฑ Rotterdam | 3.7 | ||
| 29 | ๐ฎ๐ฉ Kuta | 3.71 | ||
| 30 | ๐ป๐ณ Nha Trang | 3.72 | Based on unattractiveness of visitors n=429,586 | |
๐ฑโโ๏ธ Where unattractive women travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐ช๐จ Quito | 3.16 | ||
| 2 | ๐ณ๐ฟ Wellington | 3.2 | ||
| 3 | ๐ฐ๐ช Nairobi | 3.32 | ||
| 4 | ๐จ๐ณ Macau | 3.34 | ||
| 5 | ๐ฑ๐ฐ Weligama | 3.37 | ||
| 6 | ๐ฏ๐ต Hiroshima | 3.38 | ||
| 7 | ๐ช๐จ Cuenca | 3.39 | ||
| 8 | ๐ฏ๐ต Fukuoka | 3.4 | ||
| 9 | ๐ต๐ท San Juan | 3.41 | ||
| 10 | ๐จ๐ด Santa Marta | 3.42 | ||
| 11 | ๐ฆ๐บ Perth | 3.44 | ||
| 12 | ๐ฏ๐ด Amman | 3.5 | ||
| 13 | ๐จ๐ณ Shenzhen | 3.51 | ||
| 14 | ๐ฉ๐ด Santo Domingo | 3.54 | ||
| 15 | ๐จ๐ฆ Quebec City | 3.56 | ||
| 16 | ๐ต๐พ Asuncion | 3.56 | ||
| 17 | ๐ฒ๐ฝ Merida | 3.57 | ||
| 18 | ๐ฑ๐ฐ Colombo | 3.6 | ||
| 19 | ๐จ๐ด Bogota | 3.61 | ||
| 20 | ๐ฏ๐ฒ Montego Bay | 3.65 | ||
| 21 | ๐ซ๐ท Lyon | 3.66 | ||
| 22 | ๐ฑ๐ฆ Vientiane | 3.66 | ||
| 23 | ๐ฒ๐ฝ Cozumel | 3.67 | ||
| 24 | ๐ง๐ฆ Sarajevo | 3.67 | ||
| 25 | ๐ณ๐ฟ Queenstown | 3.67 | ||
| 26 | ๐ฐ๐ญ Phnom Penh | 3.68 | ||
| 27 | ๐ต๐ฆ Panama City | 3.68 | ||
| 28 | ๐ฌ๐ง Glasgow | 3.68 | ||
| 29 | ๐ฐ๐ท Jeju Island | 3.69 | ||
| 30 | ๐ง๐ฌ Bansko | 3.7 | Based on unattractiveness of visitors n=429,586 | |
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 | 47% | ||
| 2 | ๐ง๐พ Minsk | 46% | ||
| 3 | ๐บ๐ธ Boston | 45% | ||
| 4 | ๐ต๐น Madeira | 45% | ||
| 5 | ๐ฑ๐บ Luxembourg | 43% | ||
| 6 | ๐ช๐ธ Fuerteventura | 43% | ||
| 7 | ๐ฑ๐ง Beirut | 43% | ||
| 8 | ๐ต๐ฑ Wrocลaw | 43% | ||
| 9 | ๐ท๐ด Brasov | 43% | ||
| 10 | ๐บ๐ธ Seattle | 43% | ||
| 11 | ๐ฒ๐ฉ Chisinau | 43% | ||
| 12 | ๐จ๐พ Limassol | 43% | ||
| 13 | ๐ฒ๐ฆ Taghazout | 43% | ||
| 14 | ๐ฑ๐ฐ Weligama | 42% | ||
| 15 | ๐ฆ๐ฉ Andorra la Vella | 42% | ||
| 16 | ๐ฌ๐ช Batumi | 42% | ||
| 17 | ๐ต๐น Azores | 42% | ||
| 18 | ๐ช๐ช Tallinn | 42% | ||
| 19 | ๐จ๐ฆ Montreal | 42% | ||
| 20 | ๐ณ๐ฑ The Hague | 42% | ||
| 21 | ๐ฐ๐ฌ Bishkek | 42% | ||
| 22 | ๐ฎ๐น Genoa | 42% | ||
| 23 | ๐ฉ๐ด Santo Domingo | 42% | ||
| 24 | ๐จ๐ญ Geneva | 42% | ||
| 25 | ๐ฌ๐ท Thessaloniki | 42% | ||
| 26 | ๐ฑ๐ป Riga | 42% | ||
| 27 | ๐ฆ๐ฒ Yerevan | 41% | ||
| 28 | ๐ธ๐ฎ Ljubljana | 41% | ||
| 29 | ๐ช๐ธ Gran Canaria | 41% | ||
| 30 | ๐ง๐ฆ Sarajevo | 41% | Share of visiting nomads with a graduate degree n=122,458 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 | 28% | ||
| 5 | ๐น๐ญ Krabi | 28% | ||
| 6 | ๐ฒ๐ฝ Guadalajara | 29% | ||
| 7 | ๐ฒ๐ฝ Sayulita | 29% | ||
| 8 | ๐ฒ๐ฝ San Miguel de Allende | 30% | ||
| 9 | ๐จ๐ณ Guangzhou | 30% | ||
| 10 | ๐ฎ๐ฉ Jakarta | 31% | ||
| 11 | ๐น๐ญ Ao Nang | 31% | ||
| 12 | ๐ฌ๐น Antigua | 31% | ||
| 13 | ๐ฎ๐ฉ Seminyak | 31% | ||
| 14 | ๐น๐ญ Pattaya | 31% | ||
| 15 | ๐ฏ๐ต Osaka | 31% | ||
| 16 | ๐ฏ๐ต Hiroshima | 31% | ||
| 17 | ๐ป๐ณ Hue | 31% | ||
| 18 | ๐จ๐ท Santa Teresa | 32% | ||
| 19 | ๐ฌ๐ท Mykonos | 32% | ||
| 20 | ๐ฆ๐บ Perth | 32% | ||
| 21 | ๐ป๐ณ Da Nang | 32% | ||
| 22 | ๐น๐ญ Pai | 32% | ||
| 23 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 32% | ||
| 24 | ๐ฆ๐บ Brisbane | 32% | ||
| 25 | ๐ช๐ธ San Sebastian | 32% | ||
| 26 | ๐น๐ผ Taipei | 32% | ||
| 27 | ๐ฑ๐ฐ Colombo | 32% | ||
| 28 | ๐ป๐ณ Hanoi | 32% | ||
| 29 | ๐ฒ๐ฝ Mexico City | 32% | ||
| 30 | ๐ณ๐ฑ Utrecht | 33% | Share of visiting nomads with a graduate degree n=122,458 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 | ๐จ๐ณ Chengdu | 34 yrs | ||
| 9 | ๐จ๐ณ Guangzhou | 34 yrs | ||
| 10 | ๐ฌ๐ช Batumi | 34 yrs | ||
| 11 | ๐บ๐ธ Minneapolis | 34 yrs | ||
| 12 | ๐น๐ท Antalya | 34 yrs | ||
| 13 | ๐ฆ๐ฒ Yerevan | 34 yrs | ||
| 14 | ๐ฒ๐ฆ Taghazout | 34 yrs | ||
| 15 | ๐จ๐ฟ Brno | 34 yrs | ||
| 16 | ๐ฌ๐ช Kutaisi | 34 yrs | ||
| 17 | ๐ฎ๐น Milan | 34 yrs | ||
| 18 | ๐ถ๐ฆ Doha | 34 yrs | ||
| 19 | ๐ฆ๐ท Bariloche | 34 yrs | ||
| 20 | ๐ฌ๐ง Oxford | 34 yrs | ||
| 21 | ๐ธ๐ช Gothenburg | 34 yrs | ||
| 22 | ๐บ๐ธ Raleigh | 34 yrs | ||
| 23 | ๐บ๐ธ Asheville | 34 yrs | ||
| 24 | ๐บ๐ธ Detroit | 34 yrs | ||
| 25 | ๐ฌ๐ง Cambridge | 34 yrs | ||
| 26 | ๐บ๐ธ Phoenix | 34 yrs | ||
| 27 | ๐บ๐ธ Charlotte | 34 yrs | ||
| 28 | ๐ฒ๐ป Male | 34 yrs | ||
| 29 | ๐ป๐ฆ Vatican City | 34 yrs | ||
| 30 | ๐ซ๐ท Chamonix | 34 yrs | Median age of visiting nomads (locals excluded)n=200,405 nomads | |
๐ง Oldest visiting nomads | ||||
| # | City | Median age | ||
| 1 | ๐ฒ๐ฝ San Miguel de Allende | 41 yrs | ||
| 2 | ๐ง๐ท Recife | 40 yrs | ||
| 3 | ๐ฒ๐ฝ Puebla | 39 yrs | ||
| 4 | ๐ณ๐ฟ Wellington | 39 yrs | ||
| 5 | ๐ฎ๐ณ Hyderabad | 39 yrs | ||
| 6 | ๐ฒ๐ฒ Yangon | 38 yrs | ||
| 7 | ๐น๐ญ Hua Hin | 38 yrs | ||
| 8 | ๐จ๐ท Puerto Viejo | 38 yrs | ||
| 9 | ๐บ๐ธ St. Louis | 38 yrs | ||
| 10 | ๐ฒ๐ฝ Merida | 38 yrs | ||
| 11 | ๐ง๐ท Fortaleza | 38 yrs | ||
| 12 | ๐น๐ญ Ko Lanta | 38 yrs | ||
| 13 | ๐ช๐จ Cuenca | 38 yrs | ||
| 14 | ๐จ๐ฆ Quebec City | 37.5 yrs | ||
| 15 | ๐ฎ๐ช Galway | 37.5 yrs | ||
| 16 | ๐ช๐ธ San Sebastian | 37.5 yrs | ||
| 17 | ๐บ๐ธ Tampa | 37.5 yrs | ||
| 18 | ๐ฒ๐ฝ Puerto Vallarta | 37 yrs | ||
| 19 | ๐ฑ๐ง Beirut | 37 yrs | ||
| 20 | ๐ฒ๐ฝ Sayulita | 37 yrs | ||
| 21 | ๐ฌ๐ง Belfast | 37 yrs | ||
| 22 | ๐ง๐ธ Nassau | 37 yrs | ||
| 23 | ๐ช๐ธ Tarifa | 37 yrs | ||
| 24 | ๐ฒ๐ฝ Isla Mujeres | 37 yrs | ||
| 25 | ๐ฆ๐ฉ Andorra la Vella | 37 yrs | ||
| 26 | ๐ซ๐ท Montpellier | 37 yrs | ||
| 27 | ๐ต๐ฆ Bocas del Toro | 37 yrs | ||
| 28 | ๐จ๐ฑ Valparaรญso | 37 yrs | ||
| 29 | ๐ฌ๐ฎ Gibraltar | 37 yrs | ||
| 30 | ๐ฑ๐ฆ Vientiane | 37 yrs | Median age of visiting nomads (locals excluded)n=200,405 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 | $125,000 | ||
| 2 | ๐จ๐ฆ Vancouver | $125,000 | ||
| 3 | ๐ฏ๐ต Tokyo | $100,000 | ||
| 4 | ๐ฟ๐ฆ Cape Town | $100,000 | ||
| 5 | ๐บ๐ธ New York City | $100,000 | ||
| 6 | ๐ฉ๐ฐ Copenhagen | $100,000 | ||
| 7 | ๐ฒ๐ฝ Mexico City | $100,000 | ||
| 8 | ๐ณ๐ฟ Auckland | $100,000 | ||
| 9 | ๐ธ๐ฎ Ljubljana | $100,000 | ||
| 10 | ๐ฆ๐บ Sydney | $100,000 | ||
| 11 | ๐บ๐ธ Boston | $100,000 | ||
| 12 | ๐น๐ผ Taipei | $100,000 | ||
| 13 | ๐ฎ๐ณ Delhi | $100,000 | ||
| 14 | ๐จ๐ฆ Montreal | $100,000 | ||
| 15 | ๐ฒ๐ฆ Marrakesh | $100,000 | ||
| 16 | ๐ง๐ท Rio de Janeiro | $100,000 | ||
| 17 | ๐ฆ๐ท Buenos Aires | $100,000 | ||
| 18 | ๐จ๐ด Bogota | $100,000 | ||
| 19 | ๐จ๐ฆ Toronto | $100,000 | ||
| 20 | ๐บ๐ธ Miami | $100,000 | ||
| 21 | ๐จ๐ญ Zurich | $100,000 | ||
| 22 | ๐ธ๐ช Stockholm | $100,000 | ||
| 23 | ๐จ๐ญ Geneva | $100,000 | ||
| 24 | ๐ฏ๐ต Kyoto | $100,000 | ||
| 25 | ๐ง๐ท Florianopolis | $100,000 | ||
| 26 | ๐จ๐ด Medellรญn | $100,000 | ||
| 27 | ๐ญ๐ฐ Hong Kong | $100,000 | ||
| 28 | ๐บ๐ธ San Francisco | $100,000 | ||
| 29 | ๐ฆ๐ช Dubai | $100,000 | ||
| 30 | ๐ฎ๐ธ Reykjavik | $100,000 | Median self-reported income of visiting nomadsn=46,606 nomads | |
๐ช Lowest-earning visitors | ||||
| # | City | Median income | ||
| 1 | ๐ต๐ญ Cebu | $70,000 | ||
| 2 | ๐ฐ๐ฟ Almaty | $70,000 | ||
| 3 | ๐ฆ๐ฒ Yerevan | $70,000 | ||
| 4 | ๐ฌ๐ช Batumi | $70,000 | ||
| 5 | ๐น๐ญ Pattaya | $75,000 | ||
| 6 | ๐น๐ท Antalya | $75,000 | ||
| 7 | ๐ป๐ณ Hoi An | $75,000 | ||
| 8 | ๐น๐ญ Ko Pha Ngan | $75,000 | ||
| 9 | ๐ฒ๐พ Penang | $75,000 | ||
| 10 | ๐ง๐ฌ Bansko | $75,000 | ||
| 11 | ๐ฐ๐ญ Phnom Penh | $75,000 | ||
| 12 | ๐ฐ๐ท Busan | $75,000 | ||
| 13 | ๐ฌ๐ช Tbilisi | $75,000 | ||
| 14 | ๐ป๐ณ Da Nang | $75,000 | ||
| 15 | ๐ฒ๐พ Kuala Lumpur | $75,000 | ||
| 16 | ๐ฒ๐ฐ Skopje | $77,500 | ||
| 17 | ๐ป๐ฆ Vatican City | $80,000 | ||
| 18 | ๐ฑ๐บ Luxembourg | $80,000 | ||
| 19 | ๐น๐ญ Ko Tao | $80,000 | ||
| 20 | ๐ฑ๐ฐ Colombo | $80,000 | ||
| 21 | ๐ช๐ธ Tenerife | $80,000 | ||
| 22 | ๐น๐ญ Phuket | $80,000 | ||
| 23 | ๐น๐ญ Ko Lanta | $80,000 | ||
| 24 | ๐ท๐ธ Belgrade | $80,000 | ||
| 25 | ๐ฎ๐ฉ Jakarta | $80,000 | ||
| 26 | ๐ฏ๐ต Fukuoka | $80,000 | ||
| 27 | ๐ฐ๐ญ Siem Reap | $80,000 | ||
| 28 | ๐น๐ญ Krabi | $80,000 | ||
| 29 | ๐ป๐ณ Hanoi | $80,000 | ||
| 30 | ๐น๐ท Istanbul | $80,000 | Median self-reported income of visiting nomadsn=46,606 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 Denver | 96% | ||
| 2 | ๐บ๐ธ San Francisco | 96% | ||
| 3 | ๐บ๐ธ New York City | 96% | ||
| 4 | ๐บ๐ธ Houston | 95% | ||
| 5 | ๐บ๐ธ Washington | 95% | ||
| 6 | ๐บ๐ธ Boston | 95% | ||
| 7 | ๐บ๐ธ Los Angeles | 95% | ||
| 8 | ๐ฒ๐พ Langkawi | 95% | ||
| 9 | ๐บ๐ธ Las Vegas | 95% | ||
| 10 | ๐บ๐ธ Miami | 95% | ||
| 11 | ๐บ๐ธ Chicago | 95% | ||
| 12 | ๐ฑ๐ฐ Weligama | 95% | ||
| 13 | ๐ฎ๐ฉ Gili Trawangan | 95% | ||
| 14 | ๐ฑ๐ฐ Galle | 95% | ||
| 15 | ๐จ๐ฟ Brno | 95% | ||
| 16 | ๐ฑ๐ฐ Colombo | 95% | ||
| 17 | ๐ช๐ธ Tenerife | 94% | ||
| 18 | ๐ฌ๐ช Kutaisi | 94% | ||
| 19 | ๐บ๐ธ Seattle | 94% | ||
| 20 | ๐ฎ๐ฉ Uluwatu | 94% | ||
| 21 | ๐ฆ๐ช Abu Dhabi | 94% | ||
| 22 | ๐น๐ญ Hua Hin | 94% | ||
| 23 | ๐ฎ๐ฉ Denpasar | 94% | ||
| 24 | ๐ช๐ฌ Dahab | 94% | ||
| 25 | ๐บ๐ธ San Diego | 94% | ||
| 26 | ๐ฆ๐ช Dubai | 94% | ||
| 27 | ๐ฌ๐ท Rhodes | 94% | ||
| 28 | ๐ง๐ฌ Varna | 94% | ||
| 29 | ๐บ๐ธ New Orleans | 94% | ||
| 30 | ๐ฎ๐ฉ Kuta | 94% | How mixed the visiting nomads’ nationalities aren=164,352 nomads | |
๐ Least international crowd | ||||
| # | City | Nationality mix | ||
| 1 | ๐ฒ๐ฝ Cabo San Lucas | 41% | ||
| 2 | ๐ต๐ท San Juan | 47% | ||
| 3 | ๐ฒ๐ฝ San Miguel de Allende | 47% | ||
| 4 | ๐ฒ๐ฝ Sayulita | 56% | ||
| 5 | ๐ช๐จ Cuenca | 56% | ||
| 6 | ๐ฒ๐ฝ Puerto Vallarta | 58% | ||
| 7 | ๐ง๐ธ Nassau | 64% | ||
| 8 | ๐จ๐ท Tamarindo | 65% | ||
| 9 | ๐ฒ๐ฝ Cozumel | 67% | ||
| 10 | ๐ฒ๐ฝ Guadalajara | 69% | ||
| 11 | ๐จ๐ท Santa Teresa | 70% | ||
| 12 | ๐ฌ๐น Antigua | 71% | ||
| 13 | ๐ฌ๐น Guatemala City | 72% | ||
| 14 | ๐ฒ๐ฝ Mexico City | 72% | ||
| 15 | ๐ช๐จ Quito | 72% | ||
| 16 | ๐ฒ๐ฝ Merida | 73% | ||
| 17 | ๐จ๐ด Medellรญn | 74% | ||
| 18 | ๐จ๐ฆ Vancouver | 75% | ||
| 19 | ๐ฒ๐ฝ Oaxaca | 75% | ||
| 20 | ๐ณ๐ฎ San Juan del Sur | 75% | ||
| 21 | ๐ฒ๐ฝ Tulum | 76% | ||
| 22 | ๐จ๐ฆ Quebec City | 76% | ||
| 23 | ๐ฎ๐น Amalfi | 76% | ||
| 24 | ๐ต๐ฆ Bocas del Toro | 76% | ||
| 25 | ๐จ๐ท San Josรฉ | 76% | ||
| 26 | ๐ฎ๐ธ Reykjavik | 76% | ||
| 27 | ๐ธ๐ป San Salvador | 77% | ||
| 28 | ๐จ๐ฆ Calgary | 77% | ||
| 29 | ๐ฒ๐ฝ Playa del Carmen | 78% | ||
| 30 | ๐จ๐ด Cartagena | 78% | How mixed the visiting nomads’ nationalities aren=164,352 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 | 67% | ||
| 2 | ๐ฐ๐ฟ Almaty | 67% | ||
| 3 | ๐บ๐ฟ Tashkent | 63% | ||
| 4 | ๐จ๐พ Larnaca | 63% | ||
| 5 | ๐ฐ๐ฌ Bishkek | 63% | ||
| 6 | ๐ฆ๐ฒ Yerevan | 62% | ||
| 7 | ๐ท๐ด Cluj | 62% | ||
| 8 | ๐ง๐พ Minsk | 62% | ||
| 9 | ๐ต๐ฑ Wrocลaw | 62% | ||
| 10 | ๐ป๐ณ Da Lat | 61% | ||
| 11 | ๐น๐ผ Kaohsiung | 61% | ||
| 12 | ๐ซ๐ท Lyon | 61% | ||
| 13 | ๐น๐ท Antalya | 61% | ||
| 14 | ๐ฎ๐ฉ Denpasar | 61% | ||
| 15 | ๐น๐ญ Pattaya | 60% | ||
| 16 | ๐ฏ๐ต Hiroshima | 60% | ||
| 17 | ๐ฏ๐ต Fukuoka | 60% | ||
| 18 | ๐ท๐ธ Novi Sad | 60% | ||
| 19 | ๐ฏ๐ต Osaka | 60% | ||
| 20 | ๐ต๐ฑ Krakรณw | 59% | ||
| 21 | ๐บ๐ธ San Francisco | 59% | ||
| 22 | ๐ป๐ณ Phu Quoc | 59% | ||
| 23 | ๐ฎ๐ณ Bengaluru | 59% | ||
| 24 | ๐บ๐ธ Orlando | 59% | ||
| 25 | ๐ฌ๐ช Tbilisi | 59% | ||
| 26 | ๐ท๐ธ Belgrade | 59% | ||
| 27 | ๐ฒ๐พ Langkawi | 59% | ||
| 28 | ๐ท๐บ Moscow | 59% | ||
| 29 | ๐ง๐ช Antwerp | 59% | ||
| 30 | ๐ฒ๐ช Budva | 59% | Share of visiting nomads who are developersn=152,140 nomads | |
๐ด Fewest developers | ||||
| # | City | Developers | ||
| 1 | ๐ฒ๐ฝ Cabo San Lucas | 36% | ||
| 2 | ๐ง๐ท Salvador | 39% | ||
| 3 | ๐ช๐จ Cuenca | 40% | ||
| 4 | ๐ณ๐ฎ San Juan del Sur | 41% | ||
| 5 | ๐ฒ๐ฝ Tulum | 41% | ||
| 6 | ๐จ๐ด Santa Marta | 42% | ||
| 7 | ๐ฉ๐ด Santo Domingo | 42% | ||
| 8 | ๐ฒ๐ฝ Sayulita | 42% | ||
| 9 | ๐ฒ๐ฝ Puerto Vallarta | 42% | ||
| 10 | ๐ฒ๐ฝ San Miguel de Allende | 42% | ||
| 11 | ๐ฒ๐ฝ Oaxaca | 42% | ||
| 12 | ๐ฌ๐น Antigua | 42% | ||
| 13 | ๐ฒ๐ฝ Merida | 42% | ||
| 14 | ๐ฟ๐ฆ Cape Town | 43% | ||
| 15 | ๐จ๐ท Santa Teresa | 43% | ||
| 16 | ๐ช๐ธ San Sebastian | 43% | ||
| 17 | ๐ฑ๐ง Beirut | 44% | ||
| 18 | ๐ฉ๐ด Punta Cana | 44% | ||
| 19 | ๐ต๐ฆ Bocas del Toro | 44% | ||
| 20 | ๐ฏ๐ด Amman | 45% | ||
| 21 | ๐ฐ๐ช Nairobi | 45% | ||
| 22 | ๐ฆ๐ท El Calafate | 45% | ||
| 23 | ๐ช๐จ Quito | 45% | ||
| 24 | ๐ฎ๐น Lake Como | 45% | ||
| 25 | ๐ฆ๐บ Perth | 45% | ||
| 26 | ๐จ๐บ Havana | 45% | ||
| 27 | ๐ฌ๐ท Mykonos | 45% | ||
| 28 | ๐ฒ๐ฝ Isla Mujeres | 45% | ||
| 29 | ๐ฒ๐ฆ Essaouira | 46% | ||
| 30 | ๐ต๐ท San Juan | 46% | Share of visiting nomads who are developersn=152,140 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 | 47% | ||
| 2 | ๐ช๐ธ Marbella | 46% | ||
| 3 | ๐จ๐ณ Shenzhen | 46% | ||
| 4 | ๐ฎ๐น Lake Como | 45% | ||
| 5 | ๐บ๐ธ Boston | 44% | ||
| 6 | ๐บ๐ธ New Orleans | 44% | ||
| 7 | ๐บ๐ธ Dallas | 43% | ||
| 8 | ๐ด๐ฒ Muscat | 42% | ||
| 9 | ๐ฆ๐บ Perth | 41% | ||
| 10 | ๐บ๐ธ Las Vegas | 41% | ||
| 11 | ๐บ๐ฆ Kyiv | 41% | ||
| 12 | ๐บ๐ธ Los Angeles | 41% | ||
| 13 | ๐ซ๐ท Cannes | 40% | ||
| 14 | ๐ญ๐ฐ Hong Kong | 40% | ||
| 15 | ๐ฆ๐ช Dubai | 40% | ||
| 16 | ๐ฒ๐จ Monaco | 40% | ||
| 17 | ๐บ๐ธ New York City | 40% | ||
| 18 | ๐ฉ๐ช Hamburg | 40% | ||
| 19 | ๐ฆ๐ช Abu Dhabi | 40% | ||
| 20 | ๐ถ๐ฆ Doha | 39% | ||
| 21 | ๐จ๐ณ Guangzhou | 39% | ||
| 22 | ๐ฎ๐ฉ Canggu | 39% | ||
| 23 | ๐ฎ๐ณ Bengaluru | 39% | ||
| 24 | ๐บ๐ธ Washington | 39% | ||
| 25 | ๐จ๐พ Larnaca | 39% | ||
| 26 | ๐ง๐ธ Nassau | 39% | ||
| 27 | ๐บ๐ธ Denver | 39% | ||
| 28 | ๐บ๐ธ Seattle | 39% | ||
| 29 | ๐ฎ๐ฉ Denpasar | 39% | ||
| 30 | ๐ฎ๐ณ Goa | 39% | Share of visiting nomads who are foundersn=152,140 nomads | |
๐งโ๐ญ Fewest founders | ||||
| # | City | Founders | ||
| 1 | ๐ฆ๐ท Bariloche | 23% | ||
| 2 | ๐ฆ๐ท El Calafate | 25% | ||
| 3 | ๐ต๐ช Arequipa | 26% | ||
| 4 | ๐ฌ๐ง Glasgow | 26% | ||
| 5 | ๐ฒ๐ฝ Merida | 27% | ||
| 6 | ๐ช๐จ Cuenca | 27% | ||
| 7 | ๐ฒ๐ฝ Guadalajara | 27% | ||
| 8 | ๐ฆ๐ท Mendoza | 27% | ||
| 9 | ๐ง๐ฆ Sarajevo | 27% | ||
| 10 | ๐จ๐ท Puerto Viejo | 27% | ||
| 11 | ๐ฆ๐ฑ Sarandรซ | 27% | ||
| 12 | ๐ฒ๐ฝ Puerto Escondido | 27% | ||
| 13 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 27% | ||
| 14 | ๐ง๐ฆ Mostar | 27% | ||
| 15 | ๐ช๐ธ Granada | 28% | ||
| 16 | ๐ฐ๐ท Busan | 28% | ||
| 17 | ๐ง๐ฌ Plovdiv | 28% | ||
| 18 | ๐ฒ๐ฝ Oaxaca | 28% | ||
| 19 | ๐ฌ๐ง Liverpool | 28% | ||
| 20 | ๐ณ๐ฟ Christchurch | 28% | ||
| 21 | ๐ช๐จ Quito | 28% | ||
| 22 | ๐จ๐ท Santa Teresa | 28% | ||
| 23 | ๐ต๐ช Cusco | 28% | ||
| 24 | ๐ญ๐ท Zadar | 28% | ||
| 25 | ๐ฆ๐ท Cordoba | 28% | ||
| 26 | ๐ฉ๐ด Punta Cana | 29% | ||
| 27 | ๐จ๐ด Santa Marta | 29% | ||
| 28 | ๐ฎ๐น Bologna | 29% | ||
| 29 | ๐ฒ๐ช Kotor | 29% | ||
| 30 | ๐ง๐ด La Paz | 29% | Share of visiting nomads who are foundersn=152,140 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 Los Angeles | 35% | ||
| 4 | ๐ฒ๐ฆ Essaouira | 35% | ||
| 5 | ๐บ๐ธ Portland | 35% | ||
| 6 | ๐จ๐ณ Shanghai | 35% | ||
| 7 | ๐ฆ๐บ Melbourne | 35% | ||
| 8 | ๐ซ๐ท Cannes | 35% | ||
| 9 | ๐ง๐ช Antwerp | 34% | ||
| 10 | ๐ช๐ธ Bilbao | 34% | ||
| 11 | ๐ฒ๐ฆ Tangier | 34% | ||
| 12 | ๐ฒ๐พ Penang | 34% | ||
| 13 | ๐ง๐ธ Nassau | 34% | ||
| 14 | ๐ต๐น Faro | 34% | ||
| 15 | ๐ฒ๐ฝ Tulum | 34% | ||
| 16 | ๐ฐ๐ญ Phnom Penh | 34% | ||
| 17 | ๐บ๐ธ New Orleans | 33% | ||
| 18 | ๐น๐ท Izmir | 33% | ||
| 19 | ๐บ๐ธ San Francisco | 33% | ||
| 20 | ๐ฑ๐ฐ Colombo | 33% | ||
| 21 | ๐ซ๐ท Montpellier | 33% | ||
| 22 | ๐จ๐ณ Beijing | 33% | ||
| 23 | ๐ฒ๐พ Langkawi | 33% | ||
| 24 | ๐น๐ญ Ko Pha Ngan | 33% | ||
| 25 | ๐ฉ๐ช Berlin | 33% | ||
| 26 | ๐จ๐ท Puerto Viejo | 33% | ||
| 27 | ๐ต๐ญ Siargao | 33% | ||
| 28 | ๐จ๐ณ Guangzhou | 33% | ||
| 29 | ๐ฉ๐ช Hamburg | 33% | ||
| 30 | ๐ฌ๐ง Edinburgh | 33% | Share of visiting nomads who are designersn=152,140 nomads | |
๐ง Fewest designers | ||||
| # | City | Designers | ||
| 1 | ๐ต๐พ Asuncion | 19% | ||
| 2 | ๐ฆ๐ท Bariloche | 22% | ||
| 3 | ๐บ๐ธ Denver | 22% | ||
| 4 | ๐จ๐พ Limassol | 23% | ||
| 5 | ๐ฆ๐ท Ushuaia | 23% | ||
| 6 | ๐ฆ๐ฉ Andorra la Vella | 23% | ||
| 7 | ๐ช๐ฌ Dahab | 23% | ||
| 8 | ๐ฒ๐ช Podgorica | 23% | ||
| 9 | ๐ฐ๐ท Jeju Island | 24% | ||
| 10 | ๐ญ๐ท Zadar | 24% | ||
| 11 | ๐ฑ๐น Vilnius | 24% | ||
| 12 | ๐ฆ๐ท El Calafate | 24% | ||
| 13 | ๐ฎ๐น Verona | 24% | ||
| 14 | ๐ฐ๐ฟ Almaty | 24% | ||
| 15 | ๐ฌ๐ท Rhodes | 24% | ||
| 16 | ๐ง๐ท Foz do Iguaรงu | 24% | ||
| 17 | ๐ง๐พ Minsk | 24% | ||
| 18 | ๐ฉ๐ด Santo Domingo | 24% | ||
| 19 | ๐ฑ๐บ Luxembourg | 25% | ||
| 20 | ๐ฎ๐ฉ Sanur | 25% | ||
| 21 | ๐ฆ๐ฟ Baku | 25% | ||
| 22 | ๐ธ๐ช Gothenburg | 25% | ||
| 23 | ๐จ๐พ Paphos | 25% | ||
| 24 | ๐ฆ๐ท Mendoza | 25% | ||
| 25 | ๐บ๐ธ Atlanta | 25% | ||
| 26 | ๐ฌ๐ช Tbilisi | 25% | ||
| 27 | ๐ฒ๐ฆ Casablanca | 25% | ||
| 28 | ๐ฆ๐ฒ Yerevan | 25% | ||
| 29 | ๐บ๐พ Montevideo | 25% | ||
| 30 | ๐จ๐พ Larnaca | 25% | Share of visiting nomads who are designersn=152,140 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 | ๐ฎ๐ฉ Uluwatu | 52% | ||
| 3 | ๐จ๐ด Medellรญn | 52% | ||
| 4 | ๐น๐ญ Ko Samui | 51% | ||
| 5 | ๐ฒ๐ฝ Playa del Carmen | 50% | ||
| 6 | ๐ต๐ญ Siargao | 50% | ||
| 7 | ๐ฉ๐ด Santo Domingo | 50% | ||
| 8 | ๐ง๐ท Florianopolis | 50% | ||
| 9 | ๐จ๐ด Cali | 50% | ||
| 10 | ๐จ๐ท Santa Teresa | 50% | ||
| 11 | ๐ถ๐ฆ Doha | 50% | ||
| 12 | ๐น๐ญ Krabi | 49% | ||
| 13 | ๐จ๐ท Tamarindo | 49% | ||
| 14 | ๐ง๐ท Rio de Janeiro | 49% | ||
| 15 | ๐ญ๐ท Hvar | 49% | ||
| 16 | ๐น๐ญ Ko Pha Ngan | 49% | ||
| 17 | ๐จ๐ท Puerto Viejo | 49% | ||
| 18 | ๐ต๐ฆ Panama City | 49% | ||
| 19 | ๐ฎ๐ฉ Canggu | 49% | ||
| 20 | ๐ต๐ท San Juan | 49% | ||
| 21 | ๐จ๐ด Cartagena | 49% | ||
| 22 | ๐บ๐ธ Miami | 48% | ||
| 23 | ๐ฒ๐ฝ Guadalajara | 48% | ||
| 24 | ๐ช๐ธ Fuerteventura | 48% | ||
| 25 | ๐ง๐ท Sรฃo Paulo | 48% | ||
| 26 | ๐บ๐ธ Dallas | 48% | ||
| 27 | ๐ช๐ธ Marbella | 48% | ||
| 28 | ๐ฆ๐ช Abu Dhabi | 48% | ||
| 29 | ๐ช๐ธ Mallorca | 48% | ||
| 30 | ๐ญ๐ท Dubrovnik | 48% | Share of visiting nomads into gym & strength trainingn=148,754 nomads | |
๐๏ธ Least gym-going visitors | ||||
| # | City | Gym / strength | ||
| 1 | ๐ณ๐ฑ The Hague | 31% | ||
| 2 | ๐ฌ๐ง Glasgow | 33% | ||
| 3 | ๐น๐ท Izmir | 34% | ||
| 4 | ๐ฎ๐ฉ Yogyakarta | 34% | ||
| 5 | ๐ง๐ฌ Plovdiv | 34% | ||
| 6 | ๐ฒ๐ฝ San Miguel de Allende | 35% | ||
| 7 | ๐ณ๐ด Bergen | 35% | ||
| 8 | ๐ฌ๐ง Belfast | 35% | ||
| 9 | ๐ฎ๐ณ Jaipur | 35% | ||
| 10 | ๐บ๐ฟ Tashkent | 35% | ||
| 11 | ๐ง๐พ Minsk | 35% | ||
| 12 | ๐ฆ๐ท Ushuaia | 35% | ||
| 13 | ๐ง๐ฆ Sarajevo | 36% | ||
| 14 | ๐น๐ญ Chiang Rai | 36% | ||
| 15 | ๐ง๐ฆ Mostar | 36% | ||
| 16 | ๐ต๐ช Arequipa | 36% | ||
| 17 | ๐ท๐ธ Novi Sad | 36% | ||
| 18 | ๐ฐ๐ฟ Almaty | 36% | ||
| 19 | ๐จ๐ณ Chengdu | 36% | ||
| 20 | ๐จ๐ฑ San Pedro de Atacama | 37% | ||
| 21 | ๐ฆ๐ฒ Yerevan | 37% | ||
| 22 | ๐ซ๐ท Lyon | 37% | ||
| 23 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 37% | ||
| 24 | ๐ฌ๐ง Edinburgh | 37% | ||
| 25 | ๐ฒ๐ฆ Fes | 37% | ||
| 26 | ๐ฆ๐ท Cordoba | 37% | ||
| 27 | ๐บ๐ธ Portland | 37% | ||
| 28 | ๐ฉ๐ช Dusseldorf | 37% | ||
| 29 | ๐ฒ๐ฉ Chisinau | 37% | ||
| 30 | ๐ฌ๐ง Liverpool | 38% | Share of visiting nomads into gym & strength trainingn=148,754 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 | 71% | ||
| 2 | ๐ป๐ณ Hue | 65% | ||
| 3 | ๐จ๐บ Havana | 65% | ||
| 4 | ๐บ๐พ Montevideo | 65% | ||
| 5 | ๐ฎ๐ช Dublin | 64% | ||
| 6 | ๐ญ๐ท Dubrovnik | 64% | ||
| 7 | ๐จ๐ด Santa Marta | 64% | ||
| 8 | ๐ฆ๐ท Cordoba | 64% | ||
| 9 | ๐ฎ๐น Florence | 64% | ||
| 10 | ๐ฒ๐ฝ Isla Mujeres | 64% | ||
| 11 | ๐ต๐ญ Boracay | 64% | ||
| 12 | ๐ฆ๐ท Bariloche | 64% | ||
| 13 | ๐ฒ๐ฝ Cancun | 64% | ||
| 14 | ๐ต๐ท San Juan | 64% | ||
| 15 | ๐ฌ๐ง Manchester | 64% | ||
| 16 | ๐บ๐ธ Orlando | 63% | ||
| 17 | ๐ญ๐ท Split | 63% | ||
| 18 | ๐ช๐ธ Seville | 63% | ||
| 19 | ๐ป๐ฆ Vatican City | 63% | ||
| 20 | ๐ฎ๐ธ Reykjavik | 63% | ||
| 21 | ๐ช๐จ Quito | 63% | ||
| 22 | ๐ณ๐ฟ Queenstown | 63% | ||
| 23 | ๐บ๐ธ New Orleans | 63% | ||
| 24 | ๐ญ๐ท Zadar | 63% | ||
| 25 | ๐ฏ๐ต Sapporo | 63% | ||
| 26 | ๐ฉ๐ช Cologne | 63% | ||
| 27 | ๐ฌ๐ท Santorini | 63% | ||
| 28 | ๐ง๐ธ Nassau | 63% | ||
| 29 | ๐น๐ญ Ko Lanta | 63% | ||
| 30 | ๐ฒ๐ฝ Guadalajara | 63% | Share of visiting nomads who like alcoholn=148,754 nomads | |
๐ฑ Most sober visitors | ||||
| # | City | Drinks | ||
| 1 | ๐จ๐ณ Shenzhen | 49% | ||
| 2 | ๐น๐ณ Tunis | 49% | ||
| 3 | ๐ณ๐ฑ Utrecht | 49% | ||
| 4 | ๐ต๐น Portimรฃo | 49% | ||
| 5 | ๐ฎ๐น Lake Como | 50% | ||
| 6 | ๐จ๐ณ Guangzhou | 51% | ||
| 7 | ๐ฉ๐ช Stuttgart | 51% | ||
| 8 | ๐ฒ๐ฉ Chisinau | 51% | ||
| 9 | ๐ฆ๐ช Abu Dhabi | 52% | ||
| 10 | ๐ฎ๐ฉ Jakarta | 52% | ||
| 11 | ๐ฎ๐ณ Bengaluru | 52% | ||
| 12 | ๐ท๐บ Moscow | 52% | ||
| 13 | ๐ธ๐ป San Salvador | 52% | ||
| 14 | ๐ด๐ฒ Muscat | 52% | ||
| 15 | ๐ง๐พ Minsk | 52% | ||
| 16 | ๐ฎ๐ฉ Ubud | 52% | ||
| 17 | ๐ฎ๐ฉ Sanur | 52% | ||
| 18 | ๐ฒ๐ช Podgorica | 52% | ||
| 19 | ๐จ๐ณ Shanghai | 53% | ||
| 20 | ๐ต๐ญ Manila | 53% | ||
| 21 | ๐จ๐ญ Geneva | 53% | ||
| 22 | ๐ฐ๐ท Seoul | 53% | ||
| 23 | ๐ฎ๐ฉ Uluwatu | 53% | ||
| 24 | ๐น๐ญ Hua Hin | 53% | ||
| 25 | ๐บ๐ธ Honolulu | 53% | ||
| 26 | ๐ฆ๐ช Dubai | 53% | ||
| 27 | ๐ท๐ด Timisoara | 53% | ||
| 28 | ๐ต๐ญ Siargao | 53% | ||
| 29 | ๐ฒ๐ฆ Taghazout | 53% | ||
| 30 | ๐ณ๐ต Pokhara | 53% | Share of visiting nomads who like alcoholn=148,754 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 | 25% | ||
| 4 | ๐ง๐ท Rio de Janeiro | 22% | ||
| 5 | ๐ฒ๐ฆ Tangier | 21% | ||
| 6 | ๐ฌ๐น Guatemala City | 21% | ||
| 7 | ๐ญ๐ท Split | 21% | ||
| 8 | ๐จ๐ด Santa Marta | 21% | ||
| 9 | ๐ฎ๐ณ Goa | 21% | ||
| 10 | ๐จ๐ด Cartagena | 21% | ||
| 11 | ๐น๐ญ Ko Phi Phi | 21% | ||
| 12 | ๐จ๐บ Havana | 21% | ||
| 13 | ๐น๐ญ Ko Pha Ngan | 21% | ||
| 14 | ๐น๐ญ Ko Tao | 20% | ||
| 15 | ๐น๐ญ Pattaya | 20% | ||
| 16 | ๐ฒ๐ฝ Tulum | 20% | ||
| 17 | ๐จ๐ฆ Montreal | 20% | ||
| 18 | ๐จ๐ด Bogota | 20% | ||
| 19 | ๐ง๐ท Salvador | 20% | ||
| 20 | ๐ฎ๐ฉ Seminyak | 20% | ||
| 21 | ๐ฒ๐ฝ Playa del Carmen | 20% | ||
| 22 | ๐ฒ๐ฆ Fes | 20% | ||
| 23 | ๐ฎ๐ฉ Gili Air | 20% | ||
| 24 | ๐ฒ๐จ Monaco | 20% | ||
| 25 | ๐จ๐ด Medellรญn | 20% | ||
| 26 | ๐ฒ๐ฝ Cabo San Lucas | 20% | ||
| 27 | ๐ฑ๐ฐ Colombo | 20% | ||
| 28 | ๐ซ๐ท Marseille | 20% | ||
| 29 | ๐ฎ๐ฉ Denpasar | 20% | ||
| 30 | ๐ฎ๐ณ Mumbai | 20% | Share of visiting nomads who like partyingn=148,754 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 | ๐ฎ๐น Verona | 12% | ||
| 8 | ๐ง๐ช Antwerp | 12% | ||
| 9 | ๐ง๐พ Minsk | 12% | ||
| 10 | ๐บ๐ฟ Tashkent | 12% | ||
| 11 | ๐ฐ๐ฌ Bishkek | 12% | ||
| 12 | ๐ต๐ฑ Wrocลaw | 12% | ||
| 13 | ๐ฑ๐ฐ Weligama | 12% | ||
| 14 | ๐บ๐ธ Dallas | 12% | ||
| 15 | ๐ธ๐ช Gothenburg | 12% | ||
| 16 | ๐ฆ๐ฒ Yerevan | 12% | ||
| 17 | ๐ฒ๐ฆ Essaouira | 13% | ||
| 18 | ๐ฒ๐ฝ San Miguel de Allende | 13% | ||
| 19 | ๐ฎ๐ณ Bengaluru | 13% | ||
| 20 | ๐ต๐พ Asuncion | 13% | ||
| 21 | ๐ด๐ฒ Muscat | 13% | ||
| 22 | ๐น๐ญ Chiang Rai | 13% | ||
| 23 | ๐ฌ๐ช Tbilisi | 13% | ||
| 24 | ๐ฎ๐ฑ Jerusalem | 13% | ||
| 25 | ๐ฌ๐ง Glasgow | 13% | ||
| 26 | ๐ฆ๐น Salzburg | 13% | ||
| 27 | ๐ฎ๐น Pisa | 13% | ||
| 28 | ๐ง๐ฌ Plovdiv | 13% | ||
| 29 | ๐ฒ๐ป Male | 13% | ||
| 30 | ๐ต๐ญ Siargao | 13% | Share of visiting nomads who like partyingn=148,754 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 | 76% | ||
| 3 | ๐ฒ๐ฝ Puerto Escondido | 75% | ||
| 4 | ๐ช๐จ Quito | 74% | ||
| 5 | ๐จ๐ด Cartagena | 74% | ||
| 6 | ๐ฐ๐ช Nairobi | 74% | ||
| 7 | ๐ง๐ท Rio de Janeiro | 74% | ||
| 8 | ๐ฌ๐น Antigua | 74% | ||
| 9 | ๐ง๐ท Florianopolis | 73% | ||
| 10 | ๐ช๐ฌ Cairo | 73% | ||
| 11 | ๐จ๐ท San Josรฉ | 73% | ||
| 12 | ๐ช๐ธ Ibiza | 73% | ||
| 13 | ๐ต๐ฆ Panama City | 73% | ||
| 14 | ๐ฆ๐ท Buenos Aires | 73% | ||
| 15 | ๐ต๐ญ Manila | 73% | ||
| 16 | ๐ต๐พ Asuncion | 73% | ||
| 17 | ๐ต๐ช Lima | 73% | ||
| 18 | ๐ง๐ฌ Bansko | 73% | ||
| 19 | ๐จ๐ณ Guangzhou | 73% | ||
| 20 | ๐ฏ๐ด Amman | 72% | ||
| 21 | ๐ต๐ช Cusco | 72% | ||
| 22 | ๐ช๐ธ Valencia | 72% | ||
| 23 | ๐ฒ๐ฝ Mexico City | 72% | ||
| 24 | ๐ฎ๐ฉ Canggu | 72% | ||
| 25 | ๐ช๐ธ Gran Canaria | 72% | ||
| 26 | ๐น๐ผ Taipei | 72% | ||
| 27 | ๐ง๐ท Sรฃo Paulo | 72% | ||
| 28 | ๐ญ๐ท Zagreb | 72% | ||
| 29 | ๐จ๐ด Bogota | 72% | ||
| 30 | ๐ฒ๐ฝ Playa del Carmen | 71% | Share of visiting nomads who are singlen=70,235 nomads | |
๐ Most coupled-up visitors | ||||
| # | City | Single | ||
| 1 | ๐น๐ญ Ko Phi Phi | 58% | ||
| 2 | ๐ป๐ฆ Vatican City | 59% | ||
| 3 | ๐จ๐พ Larnaca | 60% | ||
| 4 | ๐ฒ๐พ Penang | 60% | ||
| 5 | ๐ฆ๐น Salzburg | 60% | ||
| 6 | ๐ฉ๐ช Frankfurt | 60% | ||
| 7 | ๐ฑ๐ฐ Colombo | 60% | ||
| 8 | ๐บ๐ธ Seattle | 61% | ||
| 9 | ๐ฆ๐ช Abu Dhabi | 61% | ||
| 10 | ๐น๐ญ Ko Lanta | 61% | ||
| 11 | ๐น๐ญ Krabi | 61% | ||
| 12 | ๐น๐ท Antalya | 62% | ||
| 13 | ๐ท๐บ Moscow | 62% | ||
| 14 | ๐บ๐ธ Austin | 62% | ||
| 15 | ๐ง๐ช Bruges | 62% | ||
| 16 | ๐ฒ๐น Sliema | 62% | ||
| 17 | ๐ณ๐ด Oslo | 62% | ||
| 18 | ๐ท๐บ Saint Petersburg | 62% | ||
| 19 | ๐จ๐บ Havana | 63% | ||
| 20 | ๐ญ๐ฐ Hong Kong | 63% | ||
| 21 | ๐จ๐ฆ Vancouver | 63% | ||
| 22 | ๐บ๐ธ Las Vegas | 63% | ||
| 23 | ๐บ๐ธ San Diego | 63% | ||
| 24 | ๐ฌ๐ง Manchester | 63% | ||
| 25 | ๐บ๐ธ San Francisco | 63% | ||
| 26 | ๐ซ๐ท Paris | 64% | ||
| 27 | ๐ฎ๐น Milan | 64% | ||
| 28 | ๐ฉ๐ด Punta Cana | 64% | ||
| 29 | ๐ฉ๐ช Hamburg | 64% | ||
| 30 | ๐ฐ๐ญ Siem Reap | 64% | Share of visiting nomads who are singlen=70,235 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 | 90% | ||
| 2 | ๐จ๐ญ Zurich | 86% | ||
| 3 | ๐ฟ๐ฆ Cape Town | 82% | ||
| 4 | ๐ฎ๐ธ Reykjavik | 77% | ||
| 5 | ๐จ๐ญ Geneva | 77% | ||
| 6 | ๐ธ๐ช Stockholm | 75% | ||
| 7 | ๐ง๐ท Florianopolis | 75% | ||
| 8 | ๐ฎ๐ฑ Tel Aviv | 74% | ||
| 9 | ๐ง๐ท Rio de Janeiro | 72% | ||
| 10 | ๐บ๐ธ New York City | 72% | ||
| 11 | ๐ช๐ธ Ibiza | 70% | ||
| 12 | ๐ฒ๐ฝ Tulum | 70% | ||
| 13 | ๐ฉ๐ฐ Copenhagen | 69% | ||
| 14 | ๐ณ๐ด Oslo | 68% | ||
| 15 | ๐จ๐ฆ Montreal | 68% | ||
| 16 | ๐ฒ๐ฆ Marrakesh | 67% | ||
| 17 | ๐ง๐ท Sรฃo Paulo | 66% | ||
| 18 | ๐ธ๐ฎ Ljubljana | 66% | ||
| 19 | ๐ฉ๐ช Munich | 65% | ||
| 20 | ๐ฎ๐น Palermo | 64% | ||
| 21 | ๐ฎ๐น Naples | 63% | ||
| 22 | ๐บ๐ธ Austin | 62% | ||
| 23 | ๐ช๐ธ Mallorca | 62% | ||
| 24 | ๐จ๐ด Cartagena | 62% | ||
| 25 | ๐ฒ๐ฝ Puerto Escondido | 61% | ||
| 26 | ๐ต๐น Madeira | 61% | ||
| 27 | ๐ซ๐ท Nice | 60% | ||
| 28 | ๐ฑ๐ป Riga | 60% | ||
| 29 | ๐ต๐น Lisbon | 59% | ||
| 30 | ๐ง๐ฆ Sarajevo | 59% | Blend of attractiveness, income & education of visiting nomadsn=46,606 nomads | |
๐๏ธ Least attractive, lowest income & least educated | ||||
| # | City | Score | ||
| 1 | ๐น๐ญ Pattaya | 2% | ||
| 2 | ๐ป๐ณ Da Nang | 6% | ||
| 3 | ๐ฑ๐ฐ Colombo | 7% | ||
| 4 | ๐ฒ๐พ Kuala Lumpur | 12% | ||
| 5 | ๐ต๐ญ Cebu | 12% | ||
| 6 | ๐น๐ญ Phuket | 13% | ||
| 7 | ๐ป๐ณ Ho Chi Minh City | 14% | ||
| 8 | ๐ต๐ญ Manila | 14% | ||
| 9 | ๐ฎ๐ฉ Jakarta | 15% | ||
| 10 | ๐ฎ๐ฉ Seminyak | 18% | ||
| 11 | ๐ฆ๐ฑ Tirana | 18% | ||
| 12 | ๐ฐ๐ญ Phnom Penh | 18% | ||
| 13 | ๐ป๐ณ Hanoi | 19% | ||
| 14 | ๐ฏ๐ต Fukuoka | 19% | ||
| 15 | ๐น๐ญ Krabi | 22% | ||
| 16 | ๐ฒ๐พ Penang | 23% | ||
| 17 | ๐น๐ญ Bangkok | 24% | ||
| 18 | ๐ฐ๐ญ Siem Reap | 24% | ||
| 19 | ๐บ๐พ Montevideo | 24% | ||
| 20 | ๐ฏ๐ต Osaka | 24% | ||
| 21 | ๐ฐ๐ฟ Almaty | 27% | ||
| 22 | ๐ท๐ธ Belgrade | 27% | ||
| 23 | ๐น๐ผ Taipei | 28% | ||
| 24 | ๐ป๐ณ Hoi An | 30% | ||
| 25 | ๐ฐ๐ท Busan | 30% | ||
| 26 | ๐ช๐จ Quito | 30% | ||
| 27 | ๐ธ๐ฐ Bratislava | 31% | ||
| 28 | ๐ต๐พ Asuncion | 31% | ||
| 29 | ๐น๐ท Antalya | 32% | ||
| 30 | ๐ฐ๐ท Seoul | 32% | Blend of attractiveness, income & education of visiting nomadsn=46,606 nomads | |
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