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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 72% less COโ
6๏ธโฃ
and stays for
6 months
๐ถ Nomads by age |
||||
| Age | % | |||
| 18 |
0.1%
|
|||
| 21 |
0.1%
|
|||
| 22 |
0.3%
|
|||
| 23 |
0.3%
|
|||
| 24 |
1%
|
|||
| 25 |
1%
|
|||
| 26 |
2%
|
|||
| 27 |
2%
|
|||
| 28 |
1%
|
|||
| 29 |
2%
|
|||
| 30 |
2%
|
|||
| 31 |
3%
|
|||
| 32 |
5%
|
|||
| 33 |
7%
|
|||
| 34 |
7%
|
|||
| 35 |
4%
|
|||
| 36 |
6%
|
|||
| 37 |
8%
|
|||
| 38 |
6%
|
|||
| 39 |
5%
|
|||
| 40 |
5%
|
|||
| 41 |
4%
|
|||
| 42 |
4%
|
|||
| 43 |
3%
|
|||
| 44 |
3%
|
active last 365d, n=1,029 | ||
โณ๏ธ Nomads by nationality |
||||
| # | Country | People | % | |
| 1 | ๐บ๐ธ United States | 56,383,048 | 41% | |
| 2 | ๐ฌ๐ง United Kingdom | 9,315,793 | 7% | |
| 3 | ๐จ๐ฆ Canada | 6,213,720 | 5% | |
| 4 | ๐ท๐บ Russia | 5,964,788 | 4% | |
| 5 | ๐ฉ๐ช Germany | 5,816,387 | 4% | |
| 6 | ๐ซ๐ท France | 4,863,744 | 4% | |
| 7 | ๐ง๐ท Brazil | 3,733,977 | 3% | |
| 8 | ๐ฆ๐บ Australia | 3,212,177 | 2% | |
| 9 | ๐ณ๐ฑ Netherlands | 2,570,699 | 2% | |
| 10 | ๐ช๐ธ Spain | 2,556,338 | 2% | |
| 11 | ๐ฎ๐ณ India | 2,532,402 | 2% | |
| 12 | ๐ฎ๐น Italy | 2,115,920 | 2% | |
| 13 | ๐บ๐ฆ Ukraine | 2,001,029 | 1% | |
| 14 | ๐ต๐ฑ Poland | 1,704,225 | 1% | |
| 15 | ๐จ๐ญ Switzerland | 1,383,486 | 1% | |
| 16 | ๐น๐ท Turkey | 1,081,896 | 1% | |
| 17 | ๐ฆ๐น Austria | 1,038,811 | 1% | |
| 18 | ๐ฏ๐ต Japan | 976,579 | 1% | |
| 19 | ๐ฎ๐ช Ireland | 952,643 | 1% | |
| 20 | ๐ธ๐ช Sweden | 952,643 | 1% | |
| 21 | ๐ฎ๐ฑ Israel | 847,325 | 1% | |
| 22 | ๐ง๐ช Belgium | 842,538 | 1% | |
| 23 | ๐จ๐ฟ Czechia | 818,603 | 1% | |
| 24 | ๐ฐ๐ท South Korea | 799,454 | 1% | |
| 25 | ๐ฆ๐ท Argentina | 794,667 | 1% | |
| 26 | ๐ต๐น Portugal | 780,305 | 1% | |
| 27 | ๐ฟ๐ฆ South Africa | 727,647 | 1% | |
| 28 | ๐ฒ๐ฝ Mexico | 727,647 | 1% | |
| 29 | ๐ท๐ด Romania | 713,285 | 1% | |
| 30 | ๐จ๐ณ China | 708,498 | 1% | n=28,477 |
๐ถ Nomads by gender |
||||
| Gender | % | |||
| ๐จโ Men |
83%
|
|||
| ๐ฑโโ๏ธ Women |
17%
|
|||
| ๐ง Other |
0%
|
active last 365d, n=16,760 | ||
๐ Nomads by sexuality |
||||
| Sexuality | % | |||
| ๐ Heterosexual |
88%
|
|||
| ๐ฆ Bisexual |
7%
|
|||
| ๐ณ๏ธโ๐ Gay or lesbian |
5%
|
n=18,577 | ||
๐ Nomads by beliefs |
||||
| Religion | % | |||
| ๐ซ Not religious |
51%
|
|||
| ๐ Spirituality |
27%
|
|||
| โช๏ธ Christianity |
11%
|
|||
| ๐ Buddhism |
3%
|
|||
| ๐ Islam |
3%
|
|||
| โจ Astrology |
2%
|
|||
| ๐ Judaism |
2%
|
|||
| ๐ Hinduism |
2%
|
|||
| ๐ณ Sikhism |
0%
|
n=9,594 | ||
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=8,731 | ||
๐ Education |
||||
| Education | % | |||
| ๐ High School |
9%
|
|||
| ๐ Higher education |
91%
|
|||
| ↱๐ Bachelor's |
53%
|
|||
| ↱๐ Master's |
35%
|
|||
| ↱๐ฉโ๐ซ PhD |
3%
|
n=20,377 | ||
โค๏ธ Nomads by relationship |
||||
| Relationship | % | |||
| ๐ Single |
67%
|
|||
| ๐ In a relationship |
33%
|
n=11,923 | ||
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=68,739 | ||
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 | $125,560 / y | |||
| Median | $85,000 / y | n=6,001 | ||
๐ฐ Nomads by employment |
||||
| Employment type | % | |||
| Full time |
36%
|
|||
| Startup founder |
19%
|
|||
| Freelance |
19%
|
|||
| Full time contractor |
9%
|
|||
| Agency |
8%
|
|||
| Other |
6%
|
|||
| Part time |
2%
|
|||
| Part time contractor |
1%
|
n=7,861 | ||
๐ก Where do nomads work from |
||||
| Place | % | |||
| ๐ก Home office |
58%
|
|||
| ๐ฌ Coworking |
15%
|
|||
| โ๏ธ Cafe |
8%
|
|||
| ๐ข Office |
8%
|
|||
| ๐ Couch |
4%
|
|||
| ๐ฝ Dining table |
3%
|
|||
| ๐ Bed |
2%
|
|||
| ๐ช Balcony |
1%
|
|||
| ๐ Van |
1%
|
|||
| ๐ฅ Boat |
0%
|
|||
| ๐ช Kitchen |
0%
|
|||
| ๐ชด Garden |
0%
|
|||
| ๐ฆ Pool |
0%
|
|||
| ๐ Library |
0%
|
n=6,612 | ||
๐ฌ What messaging apps nomads use? |
||||
| Messaging app | % | |||
| Telegram |
50%
|
|||
|
43%
|
||||
| Snapchat |
3%
|
|||
|
2%
|
||||
|
0%
|
||||
| LINE |
0%
|
|||
| Slack |
0%
|
n=6,511 | ||
โ๏ธ Nomad men by politics |
||||
| Politics | % | |||
| ๐ณ๏ธโ๐ Progressive |
43%
|
|||
| โ๏ธ Non-progressive |
57%
|
|||
| ↱๐ฝ Libertarian |
27%
|
|||
| ↱โ๏ธ Centrist |
22%
|
|||
| ↱๐ด Conservative |
8%
|
n=4,005 | ||
โ๏ธ Nomad women by politics |
||||
| Politics | % | |||
| ๐ณ๏ธโ๐ Progressive |
72%
|
|||
| โ๏ธ Non-progressive |
28%
|
|||
| ↱๐ฝ Libertarian |
13%
|
|||
| ↱โ๏ธ Centrist |
12%
|
|||
| ↱๐ด Conservative |
3%
|
n=906 | ||
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=6,184 | ||
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=1,309 | ||
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 |
17%
|
|||
| โท Skiing |
15%
|
|||
| ๐ Diving |
15%
|
|||
| ๐ Snowboarding |
15%
|
|||
| โฐ Climbing |
15%
|
|||
| ๐พ Tennis |
14%
|
|||
| ๐ Motorcycling |
13%
|
|||
| ๐ช Fight sports |
10%
|
|||
| ๐ Table tennis |
9%
|
n=12,070 | ||
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=2,759 | ||
๐ฏ๐ต Tokyo
๐ต๐น Ericeira
๐บ๐ธ Chicago
๐ต๐น Portimรฃo
๐ง๐ฌ Varna
๐ฎ๐ธ Reykjavik
๐ Most liked cities by men |
||||
| # | City | Rating | ||
| 1 | ๐น๐ญ Chiang Mai | 4.62 | ||
| 2 | ๐ฒ๐พ Kuala Lumpur | 4.50 | ||
| 3 | ๐ฏ๐ต Tokyo | 4.44 | ||
| 4 | ๐ธ๐ฌ Singapore | 4.29 | ||
| 5 | ๐ฏ๐ต Osaka | 4.17 | ||
| 6 | ๐ฒ๐ฝ Mexico City | 4.17 | ||
| 7 | ๐จ๐ฟ Prague | 4.17 | ||
| 8 | ๐น๐ญ Bangkok | 4.12 | ||
| 9 | ๐ฎ๐ฉ Ubud | 4.00 | ||
| 10 | ๐บ๐ธ New York City | 4.00 | ||
| 11 | ๐ฏ๐ต Fukuoka | 4.00 | ||
| 12 | ๐ง๐ฌ Bansko | 4.00 | ||
| 13 | ๐ฐ๐ญ Siem Reap | 4.00 | ||
| 14 | ๐ณ๐ฑ Amsterdam | 4.00 | ||
| 15 | ๐ฆ๐ช Dubai | 4.00 | n=6,776 | |
๐ Most liked cities by women |
||||
| # | City | Rating | ||
| 1 | ๐ฒ๐ฝ Mexico City | 3.75 | ||
| 2 | ๐จ๐ด Medellรญn | 3.75 | ||
| 3 | ๐น๐ญ Bangkok | 3.33 | ||
| 4 | ๐น๐ญ Chiang Mai | 3.33 | ||
| 5 | ๐ต๐น Azores | 3.33 | ||
| 6 | ๐ฆ๐ท Buenos Aires | 3.33 | ||
| 7 | ๐ฆ๐บ Sydney | 3.33 | ||
| 8 | ๐ฌ๐น Antigua | 3.33 | ||
| 9 | ๐ช๐ธ Valencia | 3.33 | ||
| 10 | ๐ณ๐ฑ The Hague | 3.33 | ||
| 11 | ๐ป๐ณ Da Nang | 3.33 | ||
| 12 | ๐ง๐ฌ Bansko | 3.33 | ||
| 13 | ๐ฌ๐ช Tbilisi | 3.33 | ||
| 14 | ๐ธ๐ช Stockholm | 3.33 | ||
| 15 | ๐ฒ๐พ Johor Bahru | 3.33 | n=6,776 | |
๐ Most visited cities |
||||
| # | City | % visited | ||
| 1 | ๐น๐ญ Bangkok | 2.18% | ||
| 2 | ๐ฌ๐ง London | 2.16% | ||
| 3 | ๐ช๐ธ Barcelona | 1.46% | ||
| 4 | ๐ซ๐ท Paris | 1.45% | ||
| 5 | ๐บ๐ธ New York City | 1.43% | ||
| 6 | ๐ต๐น Lisbon | 1.43% | ||
| 7 | ๐ฉ๐ช Berlin | 1.4% | ||
| 8 | ๐ณ๐ฑ Amsterdam | 1.16% | ||
| 9 | ๐บ๐ธ San Francisco | 1.1% | ||
| 10 | ๐น๐ญ Chiang Mai | 1.04% | ||
| 11 | ๐ฒ๐ฝ Mexico City | 0.95% | ||
| 12 | ๐ฏ๐ต Tokyo | 0.93% | ||
| 13 | ๐ฎ๐ฉ Canggu | 0.89% | ||
| 14 | ๐ธ๐ฌ Singapore | 0.87% | ||
| 15 | ๐น๐ท Istanbul | 0.85% | ||
| 16 | ๐ช๐ธ Madrid | 0.81% | ||
| 17 | ๐ฒ๐พ Kuala Lumpur | 0.8% | ||
| 18 | ๐บ๐ธ Los Angeles | 0.79% | ||
| 19 | ๐ฆ๐ช Dubai | 0.77% | ||
| 20 | ๐ญ๐บ Budapest | 0.77% | ||
| 21 | ๐จ๐ฟ Prague | 0.71% | ||
| 22 | ๐ฆ๐ท Buenos Aires | 0.69% | ||
| 23 | ๐จ๐ด Medellรญn | 0.6% | ||
| 24 | ๐ฎ๐น Rome | 0.59% | ||
| 25 | ๐ฆ๐น Vienna | 0.58% | ||
| 26 | ๐ท๐บ Moscow | 0.57% | ||
| 27 | ๐ฐ๐ท Seoul | 0.55% | ||
| 28 | ๐ป๐ณ Ho Chi Minh City | 0.54% | ||
| 29 | ๐ญ๐ฐ Hong Kong | 0.53% | ||
| 30 | ๐น๐ญ Phuket | 0.51% | n=450,667 | |
๐ Most visited countries |
||||
| # | Country | % visited | ||
| 1 | ๐บ๐ธ United States | 13% | ||
| 2 | ๐ช๐ธ Spain | 5% | ||
| 3 | ๐น๐ญ Thailand | 5% | ||
| 4 | ๐ฉ๐ช Germany | 4% | ||
| 5 | ๐ฌ๐ง United Kingdom | 4% | ||
| 6 | ๐ซ๐ท France | 3% | ||
| 7 | ๐ฒ๐ฝ Mexico | 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 | 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 | ๐ญ๐บ Hungary | 1% | n=450,667 | |
๐ Avg. COโ by member traveling |
||||
| Year | COโ | |||
| 2013 |
670 kg/y
|
|||
| 2014 |
986 kg/y
|
|||
| 2015 |
1,077 kg/y
|
|||
| 2016 |
1,291 kg/y
|
|||
| 2017 |
1,463 kg/y
|
|||
| 2018 |
1,536 kg/y
|
|||
| 2019 |
1,568 kg/y
|
|||
| 2020 |
992 kg/y
|
|||
| 2021 |
1,002 kg/y
|
|||
| 2022 |
1,570 kg/y
|
|||
| 2023 |
1,711 kg/y
|
|||
| 2024 |
1,698 kg/y
|
|||
| 2025 |
1,600 kg/y
|
|||
| 2026 |
1,468 kg/y
|
|||
| Average | 1,310 kg/y | |||
| Median | 1,377 kg/y |
Based on 450,667 trips by 16,686 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 1,377 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 | +23% | ||
| 2 | ๐ต๐น Lisbon | -16% | ||
| 3 | ๐ช๐ธ Barcelona | -11% | ||
| 4 | ๐ฌ๐ง London | -22% | ||
| 5 | ๐น๐ญ Chiang Mai | -3% | ||
| 6 | ๐ซ๐ท Paris | -24% | ||
| 7 | ๐ณ๐ฑ Amsterdam | +1% | ||
| 8 | ๐ฉ๐ช Berlin | -4% | ||
| 9 | ๐ฎ๐ฉ Canggu | +1% | ||
| 10 | ๐ฏ๐ต Tokyo | +16% | ||
| 11 | ๐น๐ท Istanbul | +6% | ||
| 12 | ๐ธ๐ฌ Singapore | +10% | ||
| 13 | ๐ฒ๐พ Kuala Lumpur | +27% | ||
| 14 | ๐ฒ๐ฝ Mexico City | -21% | ||
| 15 | ๐ญ๐บ Budapest | +14% | median temp=18°C; n=450,667 | |
๐ฑโโ๏ธ Where women go most |
||||
| # | Tag | vs. ๐จ | ||
| 1 | ๐ต๐น Lisbon | +20% | ||
| 2 | ๐ฌ๐ง London | +28% | ||
| 3 | ๐น๐ญ Bangkok | -19% | ||
| 4 | ๐ช๐ธ Barcelona | +13% | ||
| 5 | ๐ซ๐ท Paris | +32% | ||
| 6 | ๐น๐ญ Chiang Mai | +3% | ||
| 7 | ๐ฒ๐ฝ Mexico City | +27% | ||
| 8 | ๐ฉ๐ช Berlin | +4% | ||
| 9 | ๐ณ๐ฑ Amsterdam | -1% | ||
| 10 | ๐ฎ๐ฉ Canggu | -1% | ||
| 11 | ๐ฎ๐น Rome | +27% | ||
| 12 | ๐น๐ท Istanbul | -6% | ||
| 13 | ๐ฎ๐ฉ Ubud | +31% | ||
| 14 | ๐ธ๐ฌ Singapore | -9% | ||
| 15 | ๐ฏ๐ต Tokyo | -14% | median temp=18°C; n=450,667 | |
๐จ Where men go more |
||||
| # | Tag | vs. women | ||
| 1 | ๐ท๐บ Russia | +80% | ||
| 2 | ๐ต๐ฑ Poland | +63% | ||
| 3 | ๐ฌ๐ช Georgia | +49% | ||
| 4 | ๐ท๐ด Romania | +47% | ||
| 5 | ๐ต๐ญ Philippines | +36% | ||
| 6 | ๐ญ๐ฐ Hong Kong | +29% | ||
| 7 | ๐จ๐ณ China | +28% | ||
| 8 | ๐ฆ๐ช United Arab Emirates | +27% | ||
| 9 | ๐ท๐ธ Serbia | +26% | ||
| 10 | ๐ฏ๐ต Japan | +22% | ||
| 11 | ๐จ๐ฟ Czechia | +20% | ||
| 12 | ๐ณ๐ด Norway | +19% | ||
| 13 | ๐ป๐ณ Vietnam | +18% | ||
| 14 | ๐ฒ๐พ Malaysia | +18% | ||
| 15 | ๐ญ๐บ Hungary | +14% | median temp=13°C; n=450,667 | |
๐ฑโโ๏ธ Where women go more |
||||
| # | Tag | vs. men | ||
| 1 | ๐จ๐ท Costa Rica | +54% | ||
| 2 | ๐ฟ๐ฆ South Africa | +52% | ||
| 3 | ๐ฒ๐ฝ Mexico | +40% | ||
| 4 | ๐ฌ๐ง United Kingdom | +30% | ||
| 5 | ๐ญ๐ท Croatia | +29% | ||
| 6 | ๐ซ๐ท France | +24% | ||
| 7 | ๐ฎ๐น Italy | +21% | ||
| 8 | ๐จ๐ฑ Chile | +16% | ||
| 9 | ๐ฌ๐ท Greece | +14% | ||
| 10 | ๐ฆ๐บ Australia | +14% | ||
| 11 | ๐ต๐น Portugal | +13% | ||
| 12 | ๐ต๐ช Peru | +11% | ||
| 13 | ๐ฎ๐ช Ireland | +10% | ||
| 14 | ๐ช๐ธ Spain | +9% | ||
| 15 | ๐ฆ๐ท Argentina | +7% | median temp=18°C; n=450,667 | |
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 | ๐ฌ๐ท Greece | 4.4 | ||
| 7 | ๐จ๐ญ Switzerland | 4.4 | ||
| 8 | ๐ฐ๐ท South Korea | 4.35 | ||
| 9 | ๐ต๐ฑ Poland | 4.35 | ||
| 10 | ๐ฌ๐น Guatemala | 4.3 | ||
| 11 | ๐ฐ๐ฟ Kazakhstan | 4.3 | ||
| 12 | ๐ฟ๐ฆ South Africa | 4.25 | ||
| 13 | ๐ฑ๐น Lithuania | 4.25 | ||
| 14 | ๐ช๐ช Estonia | 4.25 | ||
| 15 | ๐ท๐บ Russia | 4.25 | n=4,008 | |
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 | 1.65 | ||
| 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 | ๐ณ๐ฎ Nicaragua | 2.5 | ||
| 15 | ๐จ๐ฒ Cameroon | 2.5 | n=4,008 | |
โฐ How long do nomads stay in one city? |
||||
| Duration | % | |||
| < 7 days |
48%
|
|||
| 7 - 30 days |
32%
|
|||
| 30 - 90 days |
14%
|
|||
| 90+ days |
6%
|
|||
| Average | 62 days (2 months) | |||
| Median | 7 days | n=439,453 | ||
๐ก How long do nomads stay in one country? |
||||
| Duration | % | |||
| < 7 days |
0%
|
|||
| 7 - 30 days |
60%
|
|||
| 30 - 90 days |
27%
|
|||
| 90+ days |
13%
|
|||
| Average | 173 days (6 months) | n=439,453 | ||
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 | 30% | +270% | |
| 2 | ๐ Startup Founder | 24% | +124% | |
| 3 | ๐ธ Web Dev | 24% | +268% | |
| 4 | ๐ Marketing | 13% | -14% | |
| 5 | ๐ SaaS | 12% | +170% | |
| 6 | ๐ฉโ๐จ Creative | 10% | -31% | |
| 7 | ๐ฑ Mobile Dev | 9% | +326% | |
| 8 | ๐ค Product Manager | 9% | +51% | |
| 9 | ๐จ UI/UX Design | 9% | +19% | |
| 10 | ๐ Data | 9% | +74% | |
| 11 | ๐ฐ Crypto | 9% | +247% | |
| 12 | ๐ฐ Finance | 8% | +104% | |
| 13 | ๐ Ecommerce | 7% | +79% | |
| 14 | ๐ค Sales | 6% | +60% | |
| 15 | ๐ Dev Ops | 5% | +428% | n=28,240 |
๐ฑโโ๏ธ Nomad women work as |
||||
| # | Work | % | vs. men | |
| 1 | ๐ Marketing | 15% | +16% | |
| 2 | ๐ฉโ๐จ Creative | 15% | +44% | |
| 3 | ๐ Startup Founder | 11% | -55% | |
| 4 | ๐ป Software Dev | 8% | -73% | |
| 5 | ๐จ UI/UX Design | 8% | -16% | |
| 6 | ๐ค Community | 8% | +53% | |
| 7 | ๐จโ๐ซ Education | 7% | +42% | |
| 8 | ๐ Blogging | 7% | +47% | |
| 9 | ๐ Coach | 7% | +50% | |
| 10 | ๐ธ Web Dev | 6% | -73% | |
| 11 | ๐ค Product Manager | 6% | -34% | |
| 12 | ๐ Data | 5% | -43% | |
| 13 | ๐ SaaS | 4% | -63% | |
| 14 | ๐ฐ Finance | 4% | -51% | |
| 15 | ๐ค Sales | 4% | -38% | n=7,016 |
๐จ Nomad men vs. women |
||||
| # | Tag | vs. women | ||
| 1 | ๐ Dev Ops | +428% | ||
| 2 | ๐ก Sysadmin | +403% | ||
| 3 | ๐ฑ Mobile Dev | +326% | ||
| 4 | ๐ Engineering | +324% | ||
| 5 | ๐ Investor | +299% | ||
| 6 | ๐ค AI | +296% | ||
| 7 | ๐พ Game Dev | +286% | ||
| 8 | ๐ป Software Dev | +270% | ||
| 9 | ๐ธ Web Dev | +268% | ||
| 10 | ๐ก๏ธ InfoSec | +260% | ||
| 11 | ๐ฐ Crypto | +247% | ||
| 12 | ๐ค AI model | +227% | ||
| 13 | ๐จ Stay-at-home dad | +211% | ||
| 14 | ๐ SaaS | +170% | ||
| 15 | ๐ VR Dev | +138% | n=35,156 | |
๐ฑโโ๏ธ Nomad women vs. men |
||||
| # | Tag | vs. men | ||
| 1 | ๐ธ House wife | +235% | ||
| 2 | ๐งโ๐ผ Human resources | +103% | ||
| 3 | ๐ Tradwife | +101% | ||
| 4 | ๐ง Psychologist | +91% | ||
| 5 | ๐ฐ Journalism | +86% | ||
| 6 | ๐ฅ Healthcare | +73% | ||
| 7 | ๐ Hospitality | +67% | ||
| 8 | ๐ Support | +67% | ||
| 9 | ๐จโโ๏ธ Medical | +58% | ||
| 10 | ๐ค Community | +53% | ||
| 11 | ๐ Coach | +50% | ||
| 12 | ๐ Blogging | +47% | ||
| 13 | ๐ฉโ๐จ Creative | +44% | ||
| 14 | ๐จโ๐ซ Education | +42% | ||
| 15 | ๐ Recruitment | +37% | n=35,156 | |
โ๏ธ Coffee
๐ฌ๐ง Speaks English
๐ Optimist
โฐ Outdoors
๐ Single
๐ช Fitness
๐จโ Nomad men |
||||
| # | Tag | % | vs. ๐ฑโโ๏ธ | |
| 1 | โ๏ธ Coffee | 31% | +11% | |
| 2 | ๐ฌ๐ง Speaks English | 28% | +7% | |
| 3 | ๐ Optimist | 26% | +14% | |
| 4 | ๐ช Fitness | 22% | +31% | |
| 5 | ๐ Single | 22% | +17% | |
| 6 | ๐ง Open-minded | 21% | +8% | |
| 7 | โฐ Outdoors | 21% | -9% | |
| 8 | ๐ฅพ Hiking | 21% | = | |
| 9 | ๐ COVID vaccinated | 21% | +6% | |
| 10 | ๐ถ Dogs | 20% | -8% | |
| 11 | โ๏ธ Waking up early | 19% | +9% | |
| 12 | ๐บ Beer | 19% | +100% | |
| 13 | ๐ Reading | 19% | -8% | |
| 14 | ๐ Staying up late | 19% | +36% | |
| 15 | ๐ญ No smoking | 18% | +9% | n=28,240 |
๐ฑโโ๏ธ Nomad women |
||||
| # | Tag | % | vs. ๐จโ | |
| 1 | โ๏ธ Coffee | 28% | -10% | |
| 2 | ๐ฌ๐ง Speaks English | 26% | -6% | |
| 3 | ๐ Optimist | 23% | -12% | |
| 4 | โฐ Outdoors | 23% | +10% | |
| 5 | ๐ถ Dogs | 22% | +8% | |
| 6 | ๐ฅพ Hiking | 21% | +0% | |
| 7 | ๐ท Wine | 21% | +16% | |
| 8 | ๐ Reading | 20% | +9% | |
| 9 | ๐ง Open-minded | 19% | -8% | |
| 10 | ๐ COVID vaccinated | 19% | -6% | |
| 11 | ๐ต Tea | 19% | +18% | |
| 12 | ๐ Single | 19% | -15% | |
| 13 | ๐คธโโ๏ธ Yoga | 19% | +111% | |
| 14 | โ๏ธ Waking up early | 18% | -9% | |
| 15 | ๐ช Fitness | 17% | -24% | n=7,016 |
๐จ Nomad men vs. women |
||||
| # | Tag | vs. ๐ฑโโ๏ธ | ||
| 1 | ๐จ No beard | +493% | ||
| 2 | โฝ๏ธ Football | +346% | ||
| 3 | ๐งโ Short hair | +324% | ||
| 4 | ๐ช Dropout | +246% | ||
| 5 | โ๏ธ Private pilot | +235% | ||
| 6 | ๐ Ice hockey | +223% | ||
| 7 | ๐ Basketball | +210% | ||
| 8 | โ๏ธ Chess | +192% | ||
| 9 | ๐ Hindu | +190% | ||
| 10 | ๐ Race sports | +187% | ||
| 11 | ๐ Motorcycling | +174% | ||
| 12 | ๐ Table tennis | +171% | ||
| 13 | ๐ช Fight sports | +165% | ||
| 14 | ๐ด Conservative politics | +163% | ||
| 15 | ๐ Creatine | +153% | n=35,156 | |
๐ฑโโ๏ธ Nomad women vs. men |
||||
| # | Tag | vs. ๐จ | ||
| 1 | ๐ Makeup | +4,350% | ||
| 2 | ๐คธโโ๏ธ Pilates | +930% | ||
| 3 | ๐ถ Ceramics | +437% | ||
| 4 | ๐ฑโโ๏ธ Long hair | +403% | ||
| 5 | ๐ Dress up | +301% | ||
| 6 | โจ Astrology | +283% | ||
| 7 | ๐ช Feminism | +267% | ||
| 8 | โฑ๏ธ Luxury brands | +235% | ||
| 9 | ๐ Fashion | +211% | ||
| 10 | โจ Believe in astrology | +188% | ||
| 11 | ๐ฅ Red hair | +166% | ||
| 12 | ๐ถ Pottery | +149% | ||
| 13 | ๐จ Drawing | +147% | ||
| 14 | ๐ Jewelry | +142% | ||
| 15 | ๐ Dancing | +130% | n=35,156 | |
๐ Nomads by vaccination |
||||
| Vaccinated | % | |||
| ๐ COVID vaccinated |
91%
|
|||
| ๐ Not COVID vaccinated |
9%
|
n=8,583 | ||
๐ Vaccination (men) | ||||
| Vaccinated | % | |||
| ๐ Vaccinated | 91% | |||
| ๐ Not vaccinated | 9% | n=6,316 | ||
๐ Vaccination (women) | ||||
| Vaccinated | % | |||
| ๐ Vaccinated | 93% | |||
| ๐ Not vaccinated | 7% | n=1,461 | ||
โค๏ธ Nomads by family |
||||
| Relationship | % | |||
| โค๏ธ Close to parents |
82%
|
|||
| ๐ Not close to parents |
18%
|
n=2,746 | ||
๐ถ Nomads by childhood |
||||
| Childhood | % | |||
| ๐ Happy childhood |
89%
|
|||
| ๐ Unhappy childhood |
11%
|
n=2,964 | ||
๐จ Childhood (men) | ||||
| Childhood | % | |||
| ๐ Happy childhood | 90% | |||
| ๐ Unhappy childhood | 10% | n=2,276 | ||
๐ฉ Childhood (women) | ||||
| Childhood | % | |||
| ๐ Happy childhood | 87% | |||
| ๐ Unhappy childhood | 13% | n=424 | ||
๐ก Homeownership amongst nomads |
||||
| Homeownership | % | |||
| ๐ก Homeowner |
56%
|
|||
| ๐ก Not a homeowner |
44%
|
n=3,211 | ||
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
๐ My parents separated
๐ Volleyball
๐ง Only child
๐พ Tennis
๐จโ Most attractive men's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ณ๏ธโ๐ LGBTQ+ | +186% | ||
| 2 | ๐ In a relationship | +145% | ||
| 3 | ๐งฌ Longevity | +139% | ||
| 4 | ๐ Creatine | +111% | ||
| 5 | โจ Believe in astrology | +96% | ||
| 6 | ๐ฆ Sparkling water | +93% | ||
| 7 | ๐๏ธ Live near the beach | +93% | ||
| 8 | ๐ก Architecture | +91% | ||
| 9 | ๐ข Slowmad | +84% | ||
| 10 | ๐ Basketball | +82% | ||
| 11 | ๐ก Homeowner | +81% | ||
| 12 | ๐ Rugby | +80% | ||
| 13 | ๐ฅ Soft boiled eggs | +80% | ||
| 14 | ๐ Free diving | +74% | ||
| 15 | ๐ฌ ๐ | +73% | ||
| 16 | ๐ง Dubstep music | +69% | ||
| 17 | ๐ธ Padel | +68% | ||
| 18 | ๐ง Hiphop music | +66% | ||
| 19 | ๐ฅ Messy | +65% | ||
| 20 | ๐ถ Parent | +63% | ||
| 21 | ๐ฒ Board games | +62% | ||
| 22 | ๐ฆ Still water | +60% | ||
| 23 | โณ๏ธ Golf | +60% | ||
| 24 | ๐ Kitesurfing | +59% | ||
| 25 | ๐ฏ๐ฒ Reggae music | +59% | ||
| 26 | ๐ Not COVID vaccinated | +58% | ||
| 27 | ๐ฌ Whatsapp | +56% | ||
| 28 | ๐ผ Youngest child | +55% | ||
| 29 | ๐งโ Short hair | +55% | ||
| 30 | ๐ Skateboarding | +55% | n=35,156 | |
๐ฑโโ๏ธ Most attractive women's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ My parents separated | +248% | ||
| 2 | ๐ฉ Samoyeds | +218% | ||
| 3 | ๐พ Tennis | +216% | ||
| 4 | ๐ Volleyball | +216% | ||
| 5 | ๐ง Only child | +212% | ||
| 6 | ๐ Shopping | +193% | ||
| 7 | ๐ฌ Social smoker | +181% | ||
| 8 | ๐ Running | +173% | ||
| 9 | ๐ In a relationship | +164% | ||
| 10 | ๐ Table tennis | +159% | ||
| 11 | ๐ Surfing | +158% | ||
| 12 | ๐ง Trance music | +157% | ||
| 13 | ๐จโ๐ค Partying | +154% | ||
| 14 | ๐งผ Clean freak | +151% | ||
| 15 | โท Skiing | +137% | ||
| 16 | ๐ด Cycling | +131% | ||
| 17 | ๐ฝ Libertarian politics | +129% | ||
| 18 | ๐ Pescetarian | +126% | ||
| 19 | โฌ๏ธ Has no tattoos | +126% | ||
| 20 | ๐ฅ Hard boiled eggs | +126% | ||
| 21 | ๐ซ Not religious | +115% | ||
| 22 | ๐ฌ ๐ | +115% | ||
| 23 | ๐ Backpacking | +114% | ||
| 24 | ๐ Staying up late | +114% | ||
| 25 | ๐ Makeup | +110% | ||
| 26 | ๐ฐ Pop music | +110% | ||
| 27 | ๐จ๐ณ Chinese food | +109% | ||
| 28 | ๐ฅ Vegan | +109% | ||
| 29 | โฐ Climbing | +107% | ||
| 30 | ๐ช Fitness | +107% | n=35,156 | |
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
โฑ๏ธ Luxury brands
๐ช Skydiving
๐ง Garage music
๐ Bodyboarding
๐จโ Most unattractive men's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ FetLife | -2,869% | ||
| 2 | ๐ Makeup | -529% | ||
| 3 | โฑ๏ธ Luxury brands | -319% | ||
| 4 | ๐ช Skydiving | -102% | ||
| 5 | ๐ Bodyboarding | -96% | ||
| 6 | ๐ง Garage music | -83% | ||
| 7 | ๐ถโ๐ซ๏ธ Hang gliding | -75% | ||
| 8 | ๐ญ Swinging | -75% | ||
| 9 | ๐ Cricket | -67% | ||
| 10 | ๐ณ Bowling | -57% | ||
| 11 | ๐ฐ๐ท K-pop music | -50% | ||
| 12 | ๐ช Paragliding | -42% | ||
| 13 | ๐ Religious | -28% | ||
| 14 | ๐ Single | -25% | ||
| 15 | โ๏ธ Private pilot | -22% | ||
| 16 | ๐ง Trance music | -21% | ||
| 17 | ๐ฉ Samoyeds | -21% | ||
| 18 | ๐ Motorcycling | -19% | ||
| 19 | ๐ Kink | -13% | ||
| 20 | ๐ Paleo | -11% | ||
| 21 | ๐ Sex positive | -10% | ||
| 22 | ๐ฑ Pool | -10% | ||
| 23 | ๐ Race sports | -9% | ||
| 24 | ๐ป Gardening | -9% | ||
| 25 | ๐ง๐ท Brazil funk | -7% | ||
| 26 | ๐ Buddhist | -5% | ||
| 27 | โ๏ธ Doesn't want kids | -4% | ||
| 28 | ๐จโ๐ฆฒ Bald | -3% | ||
| 29 | ๐ธ Acoustic music | -2% | n=35,156 | |
๐ฑโโ๏ธ Most unattractive women's traits |
||||
| # | Tag | Diff | ||
| 1 | ๐ฅ Messy | -2,266% | ||
| 2 | ๐ข Slowmad | -1,320% | ||
| 3 | ๐ฌ Daily smoker | -1,153% | ||
| 4 | ๐ง Pessimist | -1,041% | ||
| 5 | ๐ง Bouldering | -986% | ||
| 6 | ๐ด Conservative politics | -735% | ||
| 7 | ๐ Nails | -596% | ||
| 8 | ๐ Vintage | -540% | ||
| 9 | ๐ Creatine | -457% | ||
| 10 | ๐ฌ Snapchat | -429% | ||
| 11 | ๐ High heels | -290% | ||
| 12 | ๐ FetLife | -262% | ||
| 13 | ๐ Jewelry | -234% | ||
| 14 | ๐ Pickleball | -206% | ||
| 15 | โฑ๏ธ Luxury brands | -178% | ||
| 16 | ๐ญ Acting | -151% | ||
| 17 | ๐ Basketball | -106% | ||
| 18 | ๐ Field hockey | -95% | ||
| 19 | โค๏ธ Happy childhood | -68% | ||
| 20 | ๐ช Fight sports | -68% | ||
| 21 | โจ Believe in astrology | -63% | ||
| 22 | ๐ธ Anime | -59% | ||
| 23 | ๐ก Not a homeowner | -52% | ||
| 24 | ๐คฟ Snorkeling | -34% | ||
| 25 | ๐ฌ Slack | -28% | ||
| 26 | โ๏ธ Chess | -22% | ||
| 27 | ๐ง Garage music | -17% | ||
| 28 | ๐ Buddhist | -14% | ||
| 29 | ๐ Kink | -14% | ||
| 30 | ๐ Kitesurfing | -3% | n=35,156 | |
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).
๐ก Architecture
๐ฑ Mobile Dev
๐ Recruitment
๐ค Community
๐ Coach
๐ SaaS
๐จโ Attractive men's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐ค AI model | +110% | ||
| 2 | ๐จ Artist | +103% | ||
| 3 | ๐ค Consulting | +88% | ||
| 4 | ๐ง Psychologist | +81% | ||
| 5 | ๐จโโ๏ธ Medical | +78% | ||
| 6 | ๐ Engineering | +78% | ||
| 7 | ๐ธ Model | +71% | ||
| 8 | ๐ SaaS | +64% | ||
| 9 | ๐ Recruitment | +61% | ||
| 10 | ๐จ UI/UX Design | +61% | ||
| 11 | ๐ Coach | +59% | ||
| 12 | ๐ Ecommerce | +54% | ||
| 13 | ๐ค Product Manager | +54% | ||
| 14 | ๐ต Music | +50% | ||
| 15 | ๐น Content Creator | +49% | ||
| 16 | ๐ Logistics | +46% | ||
| 17 | ๐ฑ Mobile Dev | +39% | ||
| 18 | ๐ก๏ธ InfoSec | +38% | ||
| 19 | ๐ Data | +37% | ||
| 20 | ๐ Startup Founder | +36% | ||
| 21 | ๐ VR Dev | +34% | ||
| 22 | ๐ Marketing | +33% | ||
| 23 | ๐ช Fitness | +33% | ||
| 24 | ๐ค Sales | +33% | ||
| 25 | ๐ป Software Dev | +32% | ||
| 26 | ๐งโ๐ผ Human resources | +30% | ||
| 27 | ๐ Investor | +30% | ||
| 28 | ๐ Dev Ops | +29% | ||
| 29 | ๐ธ Web Dev | +25% | ||
| 30 | ๐ค Community | +24% | n=35,156 | |
๐ฑโโ๏ธ Attractive women's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐ก Architecture | +281% | ||
| 2 | ๐ฑ Mobile Dev | +148% | ||
| 3 | ๐ค Community | +123% | ||
| 4 | ๐ Recruitment | +121% | ||
| 5 | ๐ฉโ๐จ Creative | +83% | ||
| 6 | ๐ป Software Dev | +83% | ||
| 7 | ๐ Startup Founder | +81% | ||
| 8 | ๐ Coach | +80% | ||
| 9 | ๐ช Fitness | +70% | ||
| 10 | ๐ SaaS | +59% | ||
| 11 | ๐จ UI/UX Design | +59% | ||
| 12 | ๐ธ Web Dev | +58% | ||
| 13 | ๐จโ๐ซ Education | +58% | ||
| 14 | ๐ค Product Manager | +57% | ||
| 15 | ๐ฐ Journalism | +53% | ||
| 16 | ๐ Blogging | +52% | ||
| 17 | ๐ Ecommerce | +46% | ||
| 18 | ๐ Marketing | +42% | ||
| 19 | ๐ฐ Finance | +3% | n=35,156 | |
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
๐ฉโ๐ผ Law
๐ก Architecture
๐ Support
๐จโ Most unattractive men's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐จ Stay-at-home dad | -773% | ||
| 2 | ๐ช Military | -529% | ||
| 3 | ๐ฉ Politics | -112% | ||
| 4 | ๐ฉโ๐ผ Law | -62% | ||
| 5 | ๐ก Architecture | -48% | ||
| 6 | ๐ฐ Journalism | -45% | ||
| 7 | ๐ถ Adult | -7% | ||
| 8 | ๐บ Geo | -2% | ||
| 9 | ๐ Support | -2% | ||
| 10 | ๐ฌ Science | -1% | n=35,156 | |
๐ฑโโ๏ธ Most unattractive women's jobs |
||||
| # | Tag | Diff | ||
| 1 | ๐ฉ Politics | -1,403% | ||
| 2 | ๐ฅ Healthcare | -763% | ||
| 3 | ๐ VR Dev | -679% | ||
| 4 | ๐ต Music | -457% | ||
| 5 | ๐ค AI model | -457% | ||
| 6 | ๐ Real estate | -429% | ||
| 7 | ๐ก๏ธ InfoSec | -234% | ||
| 8 | ๐น Content Creator | -92% | ||
| 9 | ๐ Hospitality | -77% | ||
| 10 | ๐ Support | -43% | ||
| 11 | ๐ Sports | -38% | ||
| 12 | ๐ Data | -36% | ||
| 13 | ๐ฐ Crypto | -18% | ||
| 14 | ๐พ Game Dev | -11% | ||
| 15 | ๐ค Sales | -10% | ||
| 16 | ๐บ Geo | -9% | ||
| 17 | ๐จ Artist | -6% | n=35,156 | |
๐จโ Where attractive men travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐ฌ๐ท Mykonos | 5 | ||
| 2 | ๐ต๐น Ericeira | 4.53 | ||
| 3 | ๐ธ๐ช Malmรถ | 4.53 | ||
| 4 | ๐ช๐ธ Ibiza | 4.51 | ||
| 5 | ๐ฆ๐น Salzburg | 4.45 | ||
| 6 | ๐จ๐ท Tamarindo | 4.44 | ||
| 7 | ๐ช๐ธ Fuerteventura | 4.42 | ||
| 8 | ๐ฎ๐ฉ Uluwatu | 4.42 | ||
| 9 | ๐ต๐น Portimรฃo | 4.42 | ||
| 10 | ๐ณ๐ฑ Utrecht | 4.41 | ||
| 11 | ๐ณ๐ฟ Christchurch | 4.36 | ||
| 12 | ๐ฉ๐ช Stuttgart | 4.36 | ||
| 13 | ๐ณ๐ด Bergen | 4.35 | ||
| 14 | ๐ญ๐ท Zadar | 4.33 | ||
| 15 | ๐บ๐ธ Boston | 4.33 | ||
| 16 | ๐ฒ๐ฝ Cabo San Lucas | 4.32 | ||
| 17 | ๐ฆ๐บ Brisbane | 4.29 | ||
| 18 | ๐ช๐ธ Mallorca | 4.29 | ||
| 19 | ๐น๐ญ Ko Lanta | 4.25 | ||
| 20 | ๐ง๐ฆ Sarajevo | 4.25 | ||
| 21 | ๐บ๐ธ Honolulu | 4.25 | ||
| 22 | ๐ฎ๐ธ Reykjavik | 4.25 | ||
| 23 | ๐ช๐ธ Tenerife | 4.25 | ||
| 24 | ๐ณ๐ฟ Queenstown | 4.23 | ||
| 25 | ๐ณ๐ฟ Auckland | 4.22 | ||
| 26 | ๐ฆ๐บ Melbourne | 4.22 | ||
| 27 | ๐ณ๐ด Oslo | 4.22 | ||
| 28 | ๐ช๐ธ Lanzarote | 4.21 | ||
| 29 | ๐ฎ๐น Catania | 4.21 | ||
| 30 | ๐ฌ๐ท Santorini | 4.21 | Based on attractiveness of visitors n=450,667 | |
๐ฑโโ๏ธ Where attractive women travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐น๐ญ Ko Phi Phi | 5 | ||
| 2 | ๐บ๐ธ Orlando | 4.74 | ||
| 3 | ๐ต๐ฑ Gdansk | 4.72 | ||
| 4 | ๐ต๐ฑ Wrocลaw | 4.65 | ||
| 5 | ๐ฎ๐น Genoa | 4.6 | ||
| 6 | ๐ญ๐ท Zadar | 4.57 | ||
| 7 | ๐ฉ๐ช Dresden | 4.49 | ||
| 8 | ๐ป๐ณ Nha Trang | 4.49 | ||
| 9 | ๐ต๐น Azores | 4.45 | ||
| 10 | ๐ฑ๐ฐ Galle | 4.44 | ||
| 11 | ๐จ๐ฑ Valparaรญso | 4.44 | ||
| 12 | ๐ฆ๐บ Cairns | 4.44 | ||
| 13 | ๐ท๐บ Moscow | 4.43 | ||
| 14 | ๐น๐ญ Ko Samui | 4.43 | ||
| 15 | ๐ฎ๐น Amalfi | 4.43 | ||
| 16 | ๐น๐ญ Ko Pha Ngan | 4.43 | ||
| 17 | ๐ฎ๐ฉ Uluwatu | 4.43 | ||
| 18 | ๐ฉ๐ด Punta Cana | 4.42 | ||
| 19 | ๐ป๐ณ Da Lat | 4.42 | ||
| 20 | ๐น๐ญ Krabi | 4.41 | ||
| 21 | ๐ฎ๐ฑ Tel Aviv | 4.41 | ||
| 22 | ๐ณ๐ฑ Utrecht | 4.41 | ||
| 23 | ๐ง๐ช Ghent | 4.41 | ||
| 24 | ๐บ๐ฆ Kyiv | 4.41 | ||
| 25 | ๐ณ๐ฑ Rotterdam | 4.4 | ||
| 26 | ๐ช๐ธ Fuerteventura | 4.4 | ||
| 27 | ๐ฌ๐ท Mykonos | 4.39 | ||
| 28 | ๐ฒ๐ช Budva | 4.39 | ||
| 29 | ๐ฌ๐ท Rhodes | 4.38 | ||
| 30 | ๐ท๐บ Saint Petersburg | 4.38 | Based on attractiveness of visitors n=450,667 | |
๐จโ Where unattractive men travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐น๐ญ Pattaya | 3.28 | ||
| 2 | ๐ฒ๐ฝ Cozumel | 3.4 | ||
| 3 | ๐ป๐ณ Phu Quoc | 3.4 | ||
| 4 | ๐ฆ๐ท Cordoba | 3.43 | ||
| 5 | ๐ฎ๐ณ Bengaluru | 3.43 | ||
| 6 | ๐ฒ๐ฉ Chisinau | 3.44 | ||
| 7 | ๐ฎ๐ณ Goa | 3.45 | ||
| 8 | ๐ฌ๐ง Belfast | 3.46 | ||
| 9 | ๐ฒ๐ช Podgorica | 3.47 | ||
| 10 | ๐บ๐ธ Houston | 3.49 | ||
| 11 | ๐ง๐ฌ Plovdiv | 3.5 | ||
| 12 | ๐ฌ๐ช Batumi | 3.51 | ||
| 13 | ๐ฎ๐ฑ Jerusalem | 3.51 | ||
| 14 | ๐ฏ๐ต Hiroshima | 3.55 | ||
| 15 | ๐ฐ๐ฟ Almaty | 3.55 | ||
| 16 | ๐บ๐ธ Seattle | 3.56 | ||
| 17 | ๐ฐ๐ญ Phnom Penh | 3.56 | ||
| 18 | ๐ณ๐ต Kathmandu | 3.56 | ||
| 19 | ๐ช๐ธ Alicante | 3.57 | ||
| 20 | ๐ด๐ฒ Muscat | 3.58 | ||
| 21 | ๐ฏ๐ต Fukuoka | 3.58 | ||
| 22 | ๐ช๐ฌ Cairo | 3.59 | ||
| 23 | ๐ฉ๐ช Dusseldorf | 3.6 | ||
| 24 | ๐ฎ๐ฉ Kuta | 3.62 | ||
| 25 | ๐ต๐ฆ Panama City | 3.62 | ||
| 26 | ๐ป๐ณ Nha Trang | 3.63 | ||
| 27 | ๐ฑ๐ฆ Vientiane | 3.64 | ||
| 28 | ๐ท๐บ Moscow | 3.65 | ||
| 29 | ๐บ๐ฆ Lviv | 3.66 | ||
| 30 | ๐ง๐พ Minsk | 3.69 | Based on unattractiveness of visitors n=450,667 | |
๐ฑโโ๏ธ Where unattractive women travel to |
||||
| # | City | Attractiveness | ||
| 1 | ๐ณ๐ฟ Wellington | 3.14 | ||
| 2 | ๐ฐ๐ช Nairobi | 3.18 | ||
| 3 | ๐จ๐ณ Macau | 3.23 | ||
| 4 | ๐ช๐จ Quito | 3.24 | ||
| 5 | ๐ฏ๐ต Hiroshima | 3.26 | ||
| 6 | ๐ฆ๐บ Perth | 3.27 | ||
| 7 | ๐ฑ๐ฐ Weligama | 3.27 | ||
| 8 | ๐ต๐ท San Juan | 3.28 | ||
| 9 | ๐ช๐จ Cuenca | 3.31 | ||
| 10 | ๐จ๐ด Santa Marta | 3.32 | ||
| 11 | ๐ฏ๐ด Amman | 3.39 | ||
| 12 | ๐ต๐พ Asuncion | 3.4 | ||
| 13 | ๐ฒ๐ฝ Guadalajara | 3.41 | ||
| 14 | ๐ณ๐ฟ Queenstown | 3.42 | ||
| 15 | ๐ฉ๐ด Santo Domingo | 3.42 | ||
| 16 | ๐จ๐ฆ Quebec City | 3.44 | ||
| 17 | ๐ฏ๐ฒ Montego Bay | 3.45 | ||
| 18 | ๐จ๐ด Bogota | 3.45 | ||
| 19 | ๐ฒ๐ฝ Merida | 3.45 | ||
| 20 | ๐จ๐ณ Shenzhen | 3.48 | ||
| 21 | ๐ฒ๐ฝ Cozumel | 3.52 | ||
| 22 | ๐ฑ๐ฐ Colombo | 3.54 | ||
| 23 | ๐ฉ๐ช Frankfurt | 3.54 | ||
| 24 | ๐ฑ๐ฆ Vientiane | 3.54 | ||
| 25 | ๐ฏ๐ต Fukuoka | 3.54 | ||
| 26 | ๐ง๐ฆ Sarajevo | 3.55 | ||
| 27 | ๐ฐ๐ญ Phnom Penh | 3.55 | ||
| 28 | ๐ฒ๐ฆ Essaouira | 3.56 | ||
| 29 | ๐ฌ๐ง Glasgow | 3.56 | ||
| 30 | ๐ต๐ฆ Panama City | 3.56 | Based on unattractiveness of visitors n=450,667 | |
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 | ๐ง๐พ Minsk | 46% | ||
| 2 | ๐จ๐พ Larnaca | 46% | ||
| 3 | ๐ต๐น Madeira | 45% | ||
| 4 | ๐บ๐ธ Boston | 45% | ||
| 5 | ๐บ๐ธ Seattle | 44% | ||
| 6 | ๐ฒ๐ฉ Chisinau | 44% | ||
| 7 | ๐ท๐ด Brasov | 43% | ||
| 8 | ๐ฒ๐ฆ Taghazout | 43% | ||
| 9 | ๐ณ๐ฑ The Hague | 43% | ||
| 10 | ๐ฑ๐ง Beirut | 43% | ||
| 11 | ๐ฌ๐ช Batumi | 43% | ||
| 12 | ๐ฉ๐ช Dresden | 43% | ||
| 13 | ๐ช๐ธ Fuerteventura | 43% | ||
| 14 | ๐ต๐ฑ Gdansk | 43% | ||
| 15 | ๐ฑ๐บ Luxembourg | 43% | ||
| 16 | ๐ฆ๐ฉ Andorra la Vella | 43% | ||
| 17 | ๐ฌ๐ท Thessaloniki | 43% | ||
| 18 | ๐ต๐ฑ Wrocลaw | 43% | ||
| 19 | ๐จ๐ญ Geneva | 42% | ||
| 20 | ๐จ๐พ Limassol | 42% | ||
| 21 | ๐ฆ๐ฒ Yerevan | 42% | ||
| 22 | ๐จ๐ฆ Montreal | 42% | ||
| 23 | ๐ธ๐ฎ Ljubljana | 42% | ||
| 24 | ๐ฑ๐ป Riga | 42% | ||
| 25 | ๐ช๐ช Tallinn | 42% | ||
| 26 | ๐ฐ๐ฌ Bishkek | 42% | ||
| 27 | ๐ฉ๐ด Santo Domingo | 42% | ||
| 28 | ๐ธ๐ช Malmรถ | 42% | ||
| 29 | ๐ฑ๐ฐ Weligama | 42% | ||
| 30 | ๐ต๐น Azores | 42% | Share of visiting nomads with a graduate degree n=128,632 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 | 28% | ||
| 4 | ๐จ๐ท Tamarindo | 28% | ||
| 5 | ๐น๐ญ Krabi | 28% | ||
| 6 | ๐ฒ๐ฝ Sayulita | 29% | ||
| 7 | ๐ฒ๐ฝ Guadalajara | 29% | ||
| 8 | ๐จ๐ณ Guangzhou | 29% | ||
| 9 | ๐น๐ญ Pattaya | 30% | ||
| 10 | ๐ฎ๐ฉ Jakarta | 31% | ||
| 11 | ๐น๐ญ Ao Nang | 31% | ||
| 12 | ๐ฎ๐ฉ Seminyak | 31% | ||
| 13 | ๐ฏ๐ต Osaka | 31% | ||
| 14 | ๐ฒ๐ฝ San Miguel de Allende | 31% | ||
| 15 | ๐ฏ๐ต Hiroshima | 31% | ||
| 16 | ๐ฆ๐บ Perth | 31% | ||
| 17 | ๐ฌ๐ท Mykonos | 31% | ||
| 18 | ๐ฌ๐น Antigua | 32% | ||
| 19 | ๐ป๐ณ Hue | 32% | ||
| 20 | ๐ฆ๐บ Brisbane | 32% | ||
| 21 | ๐จ๐ท Santa Teresa | 32% | ||
| 22 | ๐ฑ๐ฐ Colombo | 32% | ||
| 23 | ๐ณ๐ฑ Utrecht | 32% | ||
| 24 | ๐จ๐ณ Chengdu | 32% | ||
| 25 | ๐ป๐ณ Da Nang | 32% | ||
| 26 | ๐น๐ผ Taipei | 32% | ||
| 27 | ๐ป๐ณ Hanoi | 32% | ||
| 28 | ๐ต๐ญ Manila | 33% | ||
| 29 | ๐จ๐ณ Macau | 33% | ||
| 30 | ๐ป๐ณ Ho Chi Minh City | 33% | Share of visiting nomads with a graduate degree n=128,632 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 | ๐จ๐ณ Chongqing | 32 yrs | ||
| 2 | ๐ฐ๐ฟ Almaty | 33 yrs | ||
| 3 | ๐บ๐ฟ Tashkent | 33 yrs | ||
| 4 | ๐ฎ๐น Pisa | 33 yrs | ||
| 5 | ๐น๐ท Ankara | 33 yrs | ||
| 6 | ๐ฎ๐ฉ Uluwatu | 34 yrs | ||
| 7 | ๐ต๐ฑ Warsaw | 34 yrs | ||
| 8 | ๐ต๐ญ Siargao | 34 yrs | ||
| 9 | ๐จ๐ณ Guangzhou | 34 yrs | ||
| 10 | ๐จ๐ณ Chengdu | 34 yrs | ||
| 11 | ๐ฝ๐ฐ Pristina | 34 yrs | ||
| 12 | ๐ฌ๐ช Batumi | 34 yrs | ||
| 13 | ๐น๐ท Antalya | 34 yrs | ||
| 14 | ๐ฒ๐ฆ Taghazout | 34 yrs | ||
| 15 | ๐ฆ๐ฒ Yerevan | 34 yrs | ||
| 16 | ๐ฐ๐ฌ Bishkek | 34 yrs | ||
| 17 | ๐จ๐ฟ Brno | 34 yrs | ||
| 18 | ๐ฒ๐ช Podgorica | 34 yrs | ||
| 19 | ๐ฌ๐ช Kutaisi | 34 yrs | ||
| 20 | ๐ถ๐ฆ Doha | 34 yrs | ||
| 21 | ๐ฎ๐น Milan | 34 yrs | ||
| 22 | ๐ฆ๐ฟ Baku | 34 yrs | ||
| 23 | ๐ธ๐ช Gothenburg | 34 yrs | ||
| 24 | ๐ฆ๐ท Bariloche | 34 yrs | ||
| 25 | ๐บ๐ธ Phoenix | 34 yrs | ||
| 26 | ๐บ๐ธ Asheville | 34 yrs | ||
| 27 | ๐ธ๐ฆ Riyadh | 34 yrs | ||
| 28 | ๐ฌ๐ง Oxford | 34 yrs | ||
| 29 | ๐บ๐ธ Charlotte | 34 yrs | ||
| 30 | ๐บ๐ธ Detroit | 34 yrs | Median age of visiting nomads (locals excluded)n=206,803 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 | ๐ฎ๐ณ Hyderabad | 39 yrs | ||
| 5 | ๐ช๐จ Cuenca | 38.5 yrs | ||
| 6 | ๐ฒ๐ฝ Puerto Vallarta | 38 yrs | ||
| 7 | ๐ฒ๐ฒ Yangon | 38 yrs | ||
| 8 | ๐น๐ญ Hua Hin | 38 yrs | ||
| 9 | ๐บ๐ธ St. Louis | 38 yrs | ||
| 10 | ๐จ๐ท Puerto Viejo | 38 yrs | ||
| 11 | ๐น๐ญ Ko Lanta | 38 yrs | ||
| 12 | ๐ฒ๐ฝ Merida | 38 yrs | ||
| 13 | ๐ณ๐ฟ Wellington | 38 yrs | ||
| 14 | ๐ง๐ท Fortaleza | 38 yrs | ||
| 15 | ๐ฎ๐ช Galway | 37.5 yrs | ||
| 16 | ๐จ๐ฑ Valparaรญso | 37.5 yrs | ||
| 17 | ๐บ๐ธ Tampa | 37.5 yrs | ||
| 18 | ๐บ๐ฆ Odessa | 37 yrs | ||
| 19 | ๐ฑ๐ง Beirut | 37 yrs | ||
| 20 | ๐ฒ๐ฝ Sayulita | 37 yrs | ||
| 21 | ๐ฌ๐ง Belfast | 37 yrs | ||
| 22 | ๐ฌ๐ง Brighton | 37 yrs | ||
| 23 | ๐ง๐ธ Nassau | 37 yrs | ||
| 24 | ๐ฒ๐ฝ Isla Mujeres | 37 yrs | ||
| 25 | ๐ต๐ฆ Bocas del Toro | 37 yrs | ||
| 26 | ๐ฆ๐ฉ Andorra la Vella | 37 yrs | ||
| 27 | ๐จ๐ฆ Quebec City | 37 yrs | ||
| 28 | ๐ฆ๐บ Cairns | 37 yrs | ||
| 29 | ๐ซ๐ท Montpellier | 37 yrs | ||
| 30 | ๐ฑ๐ฆ Vientiane | 37 yrs | Median age of visiting nomads (locals excluded)n=206,803 nomads | |
Median self-reported yearly income of the visiting nomads who travel to each city (locals excluded). The median is used so a few very large numbers can’t skew it.
๐ฐ Highest-earning visitors | ||||
| # | City | Median income | ||
| 1 | ๐บ๐ธ Austin | $150,000 | ||
| 2 | ๐จ๐ฆ Vancouver | $150,000 | ||
| 3 | ๐ฏ๐ต Tokyo | $100,000 | ||
| 4 | ๐ต๐น Madeira | $100,000 | ||
| 5 | ๐ณ๐ฟ Auckland | $100,000 | ||
| 6 | ๐ฒ๐ฝ Mexico City | $100,000 | ||
| 7 | ๐ฟ๐ฆ Cape Town | $100,000 | ||
| 8 | ๐บ๐ธ New York City | $100,000 | ||
| 9 | ๐ฌ๐ง London | $100,000 | ||
| 10 | ๐ฆ๐ท Buenos Aires | $100,000 | ||
| 11 | ๐ธ๐ฎ Ljubljana | $100,000 | ||
| 12 | ๐ฆ๐บ Sydney | $100,000 | ||
| 13 | ๐ง๐ท Rio de Janeiro | $100,000 | ||
| 14 | ๐ฉ๐ฐ Copenhagen | $100,000 | ||
| 15 | ๐ฎ๐ณ Mumbai | $100,000 | ||
| 16 | ๐ฌ๐น Antigua | $100,000 | ||
| 17 | ๐น๐ผ Taipei | $100,000 | ||
| 18 | ๐บ๐ธ Las Vegas | $100,000 | ||
| 19 | ๐บ๐ธ Boston | $100,000 | ||
| 20 | ๐ฒ๐ฝ Oaxaca | $100,000 | ||
| 21 | ๐จ๐ด Bogota | $100,000 | ||
| 22 | ๐บ๐ธ Miami | $100,000 | ||
| 23 | ๐ฒ๐ฆ Marrakesh | $100,000 | ||
| 24 | ๐บ๐ธ Chicago | $100,000 | ||
| 25 | ๐ง๐ท Florianopolis | $100,000 | ||
| 26 | ๐ฎ๐ณ Delhi | $100,000 | ||
| 27 | ๐ญ๐ฐ Hong Kong | $100,000 | ||
| 28 | ๐ฏ๐ต Kyoto | $100,000 | ||
| 29 | ๐ฌ๐ง Edinburgh | $100,000 | ||
| 30 | ๐ธ๐ช Stockholm | $100,000 | Median self-reported income of visiting nomadsn=48,543 nomads | |
๐ช Lowest-earning visitors | ||||
| # | City | Median income | ||
| 1 | ๐ฐ๐ฟ Almaty | $70,000 | ||
| 2 | ๐ฆ๐ฒ Yerevan | $70,000 | ||
| 3 | ๐ต๐ญ Cebu | $70,000 | ||
| 4 | ๐ฐ๐ญ Phnom Penh | $72,500 | ||
| 5 | ๐น๐ญ Pattaya | $75,000 | ||
| 6 | ๐น๐ท Antalya | $75,000 | ||
| 7 | ๐ป๐ณ Hoi An | $75,000 | ||
| 8 | ๐ฒ๐พ Penang | $75,000 | ||
| 9 | ๐ฌ๐ช Batumi | $75,000 | ||
| 10 | ๐น๐ญ Ko Pha Ngan | $75,000 | ||
| 11 | ๐ฌ๐ช Tbilisi | $75,000 | ||
| 12 | ๐ง๐ฌ Bansko | $75,000 | ||
| 13 | ๐ป๐ณ Da Nang | $75,000 | ||
| 14 | ๐ฐ๐ท Busan | $75,000 | ||
| 15 | ๐ป๐ฆ Vatican City | $80,000 | ||
| 16 | ๐ฑ๐บ Luxembourg | $80,000 | ||
| 17 | ๐ฑ๐ฐ Colombo | $80,000 | ||
| 18 | ๐ช๐ธ Tenerife | $80,000 | ||
| 19 | ๐น๐ญ Ko Lanta | $80,000 | ||
| 20 | ๐น๐ญ Ko Tao | $80,000 | ||
| 21 | ๐น๐ญ Phuket | $80,000 | ||
| 22 | ๐ท๐ธ Belgrade | $80,000 | ||
| 23 | ๐ฎ๐ฉ Jakarta | $80,000 | ||
| 24 | ๐ต๐พ Asuncion | $80,000 | ||
| 25 | ๐ฒ๐ฐ Skopje | $80,000 | ||
| 26 | ๐ฐ๐ญ Siem Reap | $80,000 | ||
| 27 | ๐ฏ๐ต Fukuoka | $80,000 | ||
| 28 | ๐ป๐ณ Hanoi | $80,000 | ||
| 29 | ๐น๐ญ Krabi | $80,000 | ||
| 30 | ๐ฎ๐ฉ Ubud | $80,000 | Median self-reported income of visiting nomadsn=48,543 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 | 96% | ||
| 5 | ๐บ๐ธ Washington | 95% | ||
| 6 | ๐บ๐ธ Boston | 95% | ||
| 7 | ๐บ๐ธ Los Angeles | 95% | ||
| 8 | ๐บ๐ธ Las Vegas | 95% | ||
| 9 | ๐ฒ๐พ Langkawi | 95% | ||
| 10 | ๐บ๐ธ Miami | 95% | ||
| 11 | ๐ฑ๐ฐ Weligama | 95% | ||
| 12 | ๐บ๐ธ Chicago | 95% | ||
| 13 | ๐บ๐ธ Philadelphia | 95% | ||
| 14 | ๐ฑ๐ฐ Galle | 95% | ||
| 15 | ๐จ๐ฟ Brno | 95% | ||
| 16 | ๐ฌ๐ช Kutaisi | 95% | ||
| 17 | ๐ฑ๐ฐ Colombo | 95% | ||
| 18 | ๐ฎ๐ฉ Gili Trawangan | 95% | ||
| 19 | ๐บ๐ธ Seattle | 94% | ||
| 20 | ๐ช๐ธ Tenerife | 94% | ||
| 21 | ๐บ๐ธ San Diego | 94% | ||
| 22 | ๐ฎ๐ฉ Uluwatu | 94% | ||
| 23 | ๐ฆ๐ช Abu Dhabi | 94% | ||
| 24 | ๐ฎ๐ฉ Denpasar | 94% | ||
| 25 | ๐น๐ญ Hua Hin | 94% | ||
| 26 | ๐ฌ๐ท Rhodes | 94% | ||
| 27 | ๐ฆ๐ช Dubai | 94% | ||
| 28 | ๐ง๐ฌ Varna | 94% | ||
| 29 | ๐บ๐ธ New Orleans | 94% | ||
| 30 | ๐บ๐ธ Atlanta | 94% | How mixed the visiting nomads’ nationalities aren=171,200 nomads | |
๐ Least international crowd | ||||
| # | City | Nationality mix | ||
| 1 | ๐ฒ๐ฝ Cabo San Lucas | 40% | ||
| 2 | ๐ฒ๐ฝ San Miguel de Allende | 47% | ||
| 3 | ๐ต๐ท San Juan | 47% | ||
| 4 | ๐ฒ๐ฝ Sayulita | 55% | ||
| 5 | ๐ช๐จ Cuenca | 55% | ||
| 6 | ๐ฒ๐ฝ Puerto Vallarta | 58% | ||
| 7 | ๐ง๐ธ Nassau | 63% | ||
| 8 | ๐จ๐ท Tamarindo | 65% | ||
| 9 | ๐ฒ๐ฝ Cozumel | 67% | ||
| 10 | ๐ฒ๐ฝ Guadalajara | 69% | ||
| 11 | ๐จ๐ท Santa Teresa | 71% | ||
| 12 | ๐ฌ๐น Antigua | 71% | ||
| 13 | ๐ช๐จ Quito | 72% | ||
| 14 | ๐ฒ๐ฝ Mexico City | 72% | ||
| 15 | ๐ฌ๐น Guatemala City | 72% | ||
| 16 | ๐ฒ๐ฝ Merida | 73% | ||
| 17 | ๐จ๐ด Medellรญn | 75% | ||
| 18 | ๐จ๐ฆ Vancouver | 75% | ||
| 19 | ๐ณ๐ฎ San Juan del Sur | 75% | ||
| 20 | ๐ฎ๐น Amalfi | 75% | ||
| 21 | ๐ฒ๐ฝ Tulum | 76% | ||
| 22 | ๐ฒ๐ฝ Oaxaca | 76% | ||
| 23 | ๐จ๐ท San Josรฉ | 76% | ||
| 24 | ๐จ๐ฆ Quebec City | 76% | ||
| 25 | ๐ต๐ฆ Bocas del Toro | 76% | ||
| 26 | ๐ฎ๐ธ Reykjavik | 77% | ||
| 27 | ๐ธ๐ป San Salvador | 77% | ||
| 28 | ๐ฒ๐ฝ Puebla | 77% | ||
| 29 | ๐จ๐ฆ Calgary | 77% | ||
| 30 | ๐จ๐ด Cartagena | 78% | How mixed the visiting nomads’ nationalities aren=171,200 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 | ๐จ๐พ Larnaca | 63% | ||
| 4 | ๐บ๐ฟ Tashkent | 63% | ||
| 5 | ๐ฐ๐ฌ Bishkek | 63% | ||
| 6 | ๐ท๐ด Cluj | 62% | ||
| 7 | ๐ง๐พ Minsk | 62% | ||
| 8 | ๐ฆ๐ฒ Yerevan | 62% | ||
| 9 | ๐ป๐ณ Da Lat | 62% | ||
| 10 | ๐ต๐ฑ Wrocลaw | 61% | ||
| 11 | ๐น๐ท Antalya | 61% | ||
| 12 | ๐ซ๐ท Lyon | 61% | ||
| 13 | ๐น๐ผ Kaohsiung | 61% | ||
| 14 | ๐ฎ๐ณ Bengaluru | 61% | ||
| 15 | ๐ฎ๐ฉ Denpasar | 61% | ||
| 16 | ๐ท๐ธ Novi Sad | 60% | ||
| 17 | ๐บ๐ธ San Francisco | 60% | ||
| 18 | ๐ฏ๐ต Osaka | 60% | ||
| 19 | ๐น๐ญ Pattaya | 60% | ||
| 20 | ๐ท๐บ Moscow | 60% | ||
| 21 | ๐ฏ๐ต Hiroshima | 59% | ||
| 22 | ๐บ๐ธ Orlando | 59% | ||
| 23 | ๐ฒ๐พ Langkawi | 59% | ||
| 24 | ๐ฏ๐ต Fukuoka | 59% | ||
| 25 | ๐ฌ๐ช Tbilisi | 59% | ||
| 26 | ๐ต๐ฑ Krakรณw | 59% | ||
| 27 | ๐ท๐ธ Belgrade | 59% | ||
| 28 | ๐ป๐ณ Phu Quoc | 59% | ||
| 29 | ๐ง๐ช Antwerp | 58% | ||
| 30 | ๐ณ๐ด Oslo | 58% | Share of visiting nomads who are developersn=158,797 nomads | |
๐ด Fewest developers | ||||
| # | City | Developers | ||
| 1 | ๐ฒ๐ฝ Cabo San Lucas | 36% | ||
| 2 | ๐ช๐จ Cuenca | 39% | ||
| 3 | ๐ง๐ท Salvador | 39% | ||
| 4 | ๐ณ๐ฎ San Juan del Sur | 39% | ||
| 5 | ๐ฒ๐ฝ Tulum | 41% | ||
| 6 | ๐จ๐ด Santa Marta | 41% | ||
| 7 | ๐ฒ๐ฝ Puerto Vallarta | 42% | ||
| 8 | ๐ฌ๐น Antigua | 42% | ||
| 9 | ๐ฒ๐ฝ Sayulita | 42% | ||
| 10 | ๐ฟ๐ฆ Cape Town | 43% | ||
| 11 | ๐ฉ๐ด Santo Domingo | 43% | ||
| 12 | ๐ฒ๐ฝ San Miguel de Allende | 43% | ||
| 13 | ๐ฒ๐ฝ Oaxaca | 43% | ||
| 14 | ๐ช๐ธ San Sebastian | 43% | ||
| 15 | ๐ฒ๐ฝ Merida | 43% | ||
| 16 | ๐จ๐ท Santa Teresa | 44% | ||
| 17 | ๐ต๐ญ Siargao | 44% | ||
| 18 | ๐ฆ๐บ Perth | 44% | ||
| 19 | ๐ฑ๐ง Beirut | 44% | ||
| 20 | ๐ต๐ฆ Bocas del Toro | 44% | ||
| 21 | ๐ฐ๐ช Nairobi | 45% | ||
| 22 | ๐จ๐บ Havana | 45% | ||
| 23 | ๐ช๐จ Quito | 45% | ||
| 24 | ๐ฌ๐ท Mykonos | 45% | ||
| 25 | ๐ฒ๐ฝ Isla Mujeres | 45% | ||
| 26 | ๐ฉ๐ด Punta Cana | 45% | ||
| 27 | ๐ฆ๐ท El Calafate | 45% | ||
| 28 | ๐ฏ๐ด Amman | 45% | ||
| 29 | ๐ต๐น Lagos | 45% | ||
| 30 | ๐จ๐ด Cali | 45% | Share of visiting nomads who are developersn=158,797 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 | ๐ฎ๐น Lake Como | 47% | ||
| 2 | ๐บ๐ธ San Francisco | 47% | ||
| 3 | ๐ช๐ธ Marbella | 46% | ||
| 4 | ๐จ๐ณ Shenzhen | 45% | ||
| 5 | ๐บ๐ธ Boston | 45% | ||
| 6 | ๐บ๐ธ Dallas | 44% | ||
| 7 | ๐บ๐ธ New Orleans | 44% | ||
| 8 | ๐ด๐ฒ Muscat | 42% | ||
| 9 | ๐ฆ๐บ Perth | 41% | ||
| 10 | ๐บ๐ธ Las Vegas | 41% | ||
| 11 | ๐บ๐ฆ Kyiv | 41% | ||
| 12 | ๐ญ๐ฐ Hong Kong | 41% | ||
| 13 | ๐บ๐ธ Los Angeles | 40% | ||
| 14 | ๐ฆ๐ช Dubai | 40% | ||
| 15 | ๐ฎ๐ณ Bengaluru | 40% | ||
| 16 | ๐บ๐ธ Philadelphia | 40% | ||
| 17 | ๐ฎ๐ฉ Denpasar | 40% | ||
| 18 | ๐ช๐ธ Bilbao | 40% | ||
| 19 | ๐ถ๐ฆ Doha | 40% | ||
| 20 | ๐ซ๐ท Cannes | 40% | ||
| 21 | ๐บ๐ธ New York City | 40% | ||
| 22 | ๐จ๐พ Larnaca | 40% | ||
| 23 | ๐บ๐ธ Denver | 40% | ||
| 24 | ๐จ๐ณ Guangzhou | 40% | ||
| 25 | ๐ฆ๐ช Abu Dhabi | 39% | ||
| 26 | ๐ฒ๐จ Monaco | 39% | ||
| 27 | ๐ฉ๐ช Hamburg | 39% | ||
| 28 | ๐บ๐ธ Washington | 39% | ||
| 29 | ๐ท๐บ Moscow | 39% | ||
| 30 | ๐บ๐ธ Chicago | 39% | Share of visiting nomads who are foundersn=158,797 nomads | |
๐งโ๐ญ Fewest founders | ||||
| # | City | Founders | ||
| 1 | ๐ฆ๐ท Bariloche | 22% | ||
| 2 | ๐ต๐ช Arequipa | 25% | ||
| 3 | ๐ฆ๐ท El Calafate | 25% | ||
| 4 | ๐ช๐จ Cuenca | 27% | ||
| 5 | ๐ฌ๐ง Glasgow | 27% | ||
| 6 | ๐จ๐ท Puerto Viejo | 27% | ||
| 7 | ๐ง๐ฆ Sarajevo | 27% | ||
| 8 | ๐ฆ๐ท Mendoza | 27% | ||
| 9 | ๐ฒ๐ฝ Guadalajara | 27% | ||
| 10 | ๐ฆ๐ฑ Sarandรซ | 27% | ||
| 11 | ๐ณ๐ฟ Christchurch | 27% | ||
| 12 | ๐ช๐ธ Granada | 28% | ||
| 13 | ๐ฐ๐ท Busan | 28% | ||
| 14 | ๐ฒ๐ฝ Puerto Escondido | 28% | ||
| 15 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 28% | ||
| 16 | ๐ฒ๐ฝ Merida | 28% | ||
| 17 | ๐ง๐ฌ Plovdiv | 28% | ||
| 18 | ๐ง๐ฆ Mostar | 28% | ||
| 19 | ๐จ๐ด Santa Marta | 28% | ||
| 20 | ๐ฒ๐ฝ Oaxaca | 28% | ||
| 21 | ๐ต๐ช Cusco | 28% | ||
| 22 | ๐ฆ๐ท Cordoba | 28% | ||
| 23 | ๐ฒ๐ฝ Puebla | 28% | ||
| 24 | ๐ฌ๐ง Liverpool | 28% | ||
| 25 | ๐จ๐ท Santa Teresa | 29% | ||
| 26 | ๐ง๐ด La Paz | 29% | ||
| 27 | ๐ฉ๐ด Punta Cana | 29% | ||
| 28 | ๐ญ๐ท Zadar | 29% | ||
| 29 | ๐ช๐จ Quito | 29% | ||
| 30 | ๐ฎ๐น Bologna | 29% | Share of visiting nomads who are foundersn=158,797 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 | 39% | ||
| 2 | ๐ฌ๐ง Brighton | 38% | ||
| 3 | ๐ฆ๐บ Perth | 37% | ||
| 4 | ๐บ๐ธ Los Angeles | 35% | ||
| 5 | ๐บ๐ธ Portland | 35% | ||
| 6 | ๐ช๐ธ Tarifa | 35% | ||
| 7 | ๐จ๐ณ Shanghai | 34% | ||
| 8 | ๐ฒ๐พ Penang | 34% | ||
| 9 | ๐ฆ๐บ Melbourne | 34% | ||
| 10 | ๐ซ๐ท Cannes | 34% | ||
| 11 | ๐ฒ๐ฆ Essaouira | 34% | ||
| 12 | ๐ฒ๐ฝ Tulum | 34% | ||
| 13 | ๐น๐ท Izmir | 34% | ||
| 14 | ๐ง๐ธ Nassau | 33% | ||
| 15 | ๐ง๐ช Antwerp | 33% | ||
| 16 | ๐ช๐ธ Bilbao | 33% | ||
| 17 | ๐ต๐น Faro | 33% | ||
| 18 | ๐ฒ๐ฆ Tangier | 33% | ||
| 19 | ๐บ๐ธ San Francisco | 33% | ||
| 20 | ๐บ๐ธ New Orleans | 33% | ||
| 21 | ๐ฐ๐ญ Phnom Penh | 33% | ||
| 22 | ๐ฒ๐พ Langkawi | 33% | ||
| 23 | ๐ฑ๐ฐ Colombo | 33% | ||
| 24 | ๐ฑ๐ฐ Galle | 33% | ||
| 25 | ๐ซ๐ท Montpellier | 32% | ||
| 26 | ๐น๐ญ Ko Pha Ngan | 32% | ||
| 27 | ๐บ๐ฆ Lviv | 32% | ||
| 28 | ๐บ๐ธ Dallas | 32% | ||
| 29 | ๐ช๐ธ Fuerteventura | 32% | ||
| 30 | ๐ฎ๐น Milan | 32% | Share of visiting nomads who are designersn=158,797 nomads | |
๐ง Fewest designers | ||||
| # | City | Designers | ||
| 1 | ๐ต๐พ Asuncion | 19% | ||
| 2 | ๐ฆ๐ท Bariloche | 21% | ||
| 3 | ๐จ๐พ Limassol | 21% | ||
| 4 | ๐ฆ๐ท Ushuaia | 22% | ||
| 5 | ๐ช๐ฌ Luxor | 22% | ||
| 6 | ๐บ๐ธ Denver | 22% | ||
| 7 | ๐ฆ๐ท El Calafate | 23% | ||
| 8 | ๐ง๐ท Foz do Iguaรงu | 23% | ||
| 9 | ๐ฆ๐ฉ Andorra la Vella | 23% | ||
| 10 | ๐ช๐ฌ Dahab | 23% | ||
| 11 | ๐ฐ๐ฟ Almaty | 24% | ||
| 12 | ๐ฎ๐น Verona | 24% | ||
| 13 | ๐ฑ๐น Vilnius | 24% | ||
| 14 | ๐ฎ๐น Catania | 24% | ||
| 15 | ๐ฒ๐ช Podgorica | 24% | ||
| 16 | ๐ฑ๐บ Luxembourg | 24% | ||
| 17 | ๐ฐ๐ฌ Bishkek | 24% | ||
| 18 | ๐ฆ๐ฟ Baku | 24% | ||
| 19 | ๐บ๐ธ Atlanta | 24% | ||
| 20 | ๐ง๐พ Minsk | 24% | ||
| 21 | ๐ฌ๐ท Rhodes | 24% | ||
| 22 | ๐ญ๐ท Zadar | 24% | ||
| 23 | ๐ฒ๐ฝ Puebla | 25% | ||
| 24 | ๐ฌ๐ช Tbilisi | 25% | ||
| 25 | ๐ธ๐ช Gothenburg | 25% | ||
| 26 | ๐ฉ๐ด Santo Domingo | 25% | ||
| 27 | ๐ฆ๐น Innsbruck | 25% | ||
| 28 | ๐ฒ๐ช Budva | 25% | ||
| 29 | ๐จ๐พ Paphos | 25% | ||
| 30 | ๐ฐ๐ท Jeju Island | 25% | Share of visiting nomads who are designersn=158,797 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 | 51% | ||
| 4 | ๐บ๐ธ Atlanta | 51% | ||
| 5 | ๐น๐ญ Ko Samui | 51% | ||
| 6 | ๐ต๐ญ Siargao | 50% | ||
| 7 | ๐ฒ๐ฝ Playa del Carmen | 50% | ||
| 8 | ๐น๐ญ Krabi | 50% | ||
| 9 | ๐จ๐ท Santa Teresa | 49% | ||
| 10 | ๐จ๐ด Cali | 49% | ||
| 11 | ๐ฉ๐ด Santo Domingo | 49% | ||
| 12 | ๐ง๐ท Florianopolis | 49% | ||
| 13 | ๐ง๐ท Rio de Janeiro | 49% | ||
| 14 | ๐บ๐ธ Miami | 49% | ||
| 15 | ๐น๐ญ Ko Pha Ngan | 49% | ||
| 16 | ๐ต๐ฆ Panama City | 49% | ||
| 17 | ๐ญ๐ท Hvar | 49% | ||
| 18 | ๐จ๐ท Tamarindo | 49% | ||
| 19 | ๐ฎ๐ฉ Canggu | 49% | ||
| 20 | ๐จ๐ด Cartagena | 48% | ||
| 21 | ๐ช๐ธ Fuerteventura | 48% | ||
| 22 | ๐จ๐ท Puerto Viejo | 48% | ||
| 23 | ๐ญ๐ท Dubrovnik | 48% | ||
| 24 | ๐ต๐ท San Juan | 48% | ||
| 25 | ๐ถ๐ฆ Doha | 48% | ||
| 26 | ๐ช๐ธ Marbella | 48% | ||
| 27 | ๐ฒ๐ฝ Sayulita | 48% | ||
| 28 | ๐บ๐ธ Dallas | 48% | ||
| 29 | ๐ฆ๐บ Brisbane | 48% | ||
| 30 | ๐ช๐ธ Mallorca | 48% | Share of visiting nomads into gym & strength trainingn=154,887 nomads | |
๐๏ธ Least gym-going visitors | ||||
| # | City | Gym / strength | ||
| 1 | ๐ฌ๐ง Glasgow | 32% | ||
| 2 | ๐น๐ท Izmir | 33% | ||
| 3 | ๐ณ๐ฑ The Hague | 33% | ||
| 4 | ๐ฒ๐ฝ San Miguel de Allende | 34% | ||
| 5 | ๐ง๐ฌ Plovdiv | 34% | ||
| 6 | ๐ฎ๐ฉ Yogyakarta | 34% | ||
| 7 | ๐บ๐ฟ Tashkent | 34% | ||
| 8 | ๐ฆ๐ท Ushuaia | 35% | ||
| 9 | ๐ณ๐ด Bergen | 35% | ||
| 10 | ๐ฎ๐ณ Jaipur | 35% | ||
| 11 | ๐ฌ๐ง Brighton | 35% | ||
| 12 | ๐ง๐พ Minsk | 35% | ||
| 13 | ๐ฌ๐ง Belfast | 35% | ||
| 14 | ๐ง๐ฆ Sarajevo | 35% | ||
| 15 | ๐ท๐ธ Novi Sad | 35% | ||
| 16 | ๐ฐ๐ฟ Almaty | 36% | ||
| 17 | ๐ต๐ช Arequipa | 36% | ||
| 18 | ๐ฆ๐ฒ Yerevan | 36% | ||
| 19 | ๐น๐ญ Chiang Rai | 36% | ||
| 20 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 36% | ||
| 21 | ๐ฌ๐ง Edinburgh | 36% | ||
| 22 | ๐จ๐ฑ San Pedro de Atacama | 37% | ||
| 23 | ๐ซ๐ท Lyon | 37% | ||
| 24 | ๐จ๐ณ Chengdu | 37% | ||
| 25 | ๐ฒ๐ฆ Fes | 37% | ||
| 26 | ๐ง๐ฆ Mostar | 37% | ||
| 27 | ๐ฌ๐ฎ Gibraltar | 37% | ||
| 28 | ๐ง๐ท Foz do Iguaรงu | 37% | ||
| 29 | ๐ฆ๐ท Cordoba | 38% | ||
| 30 | ๐จ๐ญ Bern | 38% | Share of visiting nomads into gym & strength trainingn=154,887 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 | 70% | ||
| 2 | ๐จ๐บ Havana | 65% | ||
| 3 | ๐ป๐ณ Hue | 64% | ||
| 4 | ๐จ๐ด Santa Marta | 64% | ||
| 5 | ๐ญ๐ท Dubrovnik | 64% | ||
| 6 | ๐ฆ๐ท Cordoba | 64% | ||
| 7 | ๐บ๐พ Montevideo | 64% | ||
| 8 | ๐ต๐ญ Boracay | 64% | ||
| 9 | ๐ฏ๐ต Sapporo | 64% | ||
| 10 | ๐ฌ๐ง Manchester | 64% | ||
| 11 | ๐ฎ๐ช Dublin | 63% | ||
| 12 | ๐ฎ๐น Florence | 63% | ||
| 13 | ๐ฒ๐ฝ Isla Mujeres | 63% | ||
| 14 | ๐ฆ๐ท Bariloche | 63% | ||
| 15 | ๐ญ๐ท Split | 63% | ||
| 16 | ๐ฒ๐ฝ Cancun | 63% | ||
| 17 | ๐ฎ๐ธ Reykjavik | 63% | ||
| 18 | ๐บ๐ธ New Orleans | 63% | ||
| 19 | ๐น๐ญ Ko Lanta | 63% | ||
| 20 | ๐จ๐ด Cartagena | 63% | ||
| 21 | ๐ฉ๐ช Cologne | 63% | ||
| 22 | ๐ป๐ฆ Vatican City | 63% | ||
| 23 | ๐ญ๐ท Zadar | 63% | ||
| 24 | ๐ต๐ท San Juan | 63% | ||
| 25 | ๐ช๐ธ Seville | 63% | ||
| 26 | ๐ช๐จ Cuenca | 63% | ||
| 27 | ๐ณ๐ฟ Queenstown | 63% | ||
| 28 | ๐ช๐จ Quito | 62% | ||
| 29 | ๐ฒ๐ฝ Guadalajara | 62% | ||
| 30 | ๐ง๐ธ Nassau | 62% | Share of visiting nomads who like alcoholn=154,887 nomads | |
๐ฑ Most sober visitors | ||||
| # | City | Drinks | ||
| 1 | ๐จ๐ณ Shenzhen | 48% | ||
| 2 | ๐ฎ๐น Lake Como | 49% | ||
| 3 | ๐น๐ณ Tunis | 49% | ||
| 4 | ๐ณ๐ฑ Utrecht | 49% | ||
| 5 | ๐ฉ๐ช Stuttgart | 50% | ||
| 6 | ๐ต๐น Portimรฃo | 50% | ||
| 7 | ๐จ๐ณ Guangzhou | 50% | ||
| 8 | ๐ธ๐ป San Salvador | 50% | ||
| 9 | ๐ฎ๐ณ Bengaluru | 51% | ||
| 10 | ๐บ๐ธ Honolulu | 51% | ||
| 11 | ๐ฎ๐ฉ Jakarta | 51% | ||
| 12 | ๐ฎ๐ฉ Ubud | 51% | ||
| 13 | ๐ฒ๐ฉ Chisinau | 51% | ||
| 14 | ๐ฎ๐ฉ Sanur | 51% | ||
| 15 | ๐ท๐บ Moscow | 51% | ||
| 16 | ๐น๐ญ Hua Hin | 51% | ||
| 17 | ๐ง๐พ Minsk | 52% | ||
| 18 | ๐ฆ๐ช Abu Dhabi | 52% | ||
| 19 | ๐ต๐ญ Siargao | 52% | ||
| 20 | ๐ด๐ฒ Muscat | 52% | ||
| 21 | ๐ณ๐ต Pokhara | 52% | ||
| 22 | ๐ฐ๐ฌ Bishkek | 52% | ||
| 23 | ๐ป๐ณ Da Nang | 52% | ||
| 24 | ๐ฐ๐ท Seoul | 52% | ||
| 25 | ๐จ๐ญ Geneva | 52% | ||
| 26 | ๐ท๐ด Timisoara | 52% | ||
| 27 | ๐ฎ๐ฉ Uluwatu | 52% | ||
| 28 | ๐ต๐ญ Manila | 53% | ||
| 29 | ๐ฎ๐ฉ Yogyakarta | 53% | ||
| 30 | ๐ฆ๐ช Dubai | 53% | Share of visiting nomads who like alcoholn=154,887 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 | ๐จ๐ด Santa Marta | 21% | ||
| 6 | ๐จ๐ด Cartagena | 21% | ||
| 7 | ๐ญ๐ท Split | 21% | ||
| 8 | ๐ฌ๐น Guatemala City | 21% | ||
| 9 | ๐จ๐บ Havana | 21% | ||
| 10 | ๐น๐ญ Ko Phi Phi | 21% | ||
| 11 | ๐ฎ๐ณ Goa | 21% | ||
| 12 | ๐น๐ญ Ko Pha Ngan | 21% | ||
| 13 | ๐น๐ญ Pattaya | 21% | ||
| 14 | ๐ฒ๐ฝ Tulum | 20% | ||
| 15 | ๐ฒ๐ฆ Tangier | 20% | ||
| 16 | ๐น๐ญ Ko Tao | 20% | ||
| 17 | ๐จ๐ด Bogota | 20% | ||
| 18 | ๐จ๐ด Medellรญn | 20% | ||
| 19 | ๐ฎ๐ณ Mumbai | 20% | ||
| 20 | ๐ฒ๐ฆ Fes | 20% | ||
| 21 | ๐ฒ๐ฝ Playa del Carmen | 20% | ||
| 22 | ๐ฎ๐ฉ Gili Air | 20% | ||
| 23 | ๐ฒ๐จ Monaco | 20% | ||
| 24 | ๐ฑ๐ฐ Colombo | 20% | ||
| 25 | ๐จ๐ฆ Montreal | 20% | ||
| 26 | ๐ง๐ท Salvador | 20% | ||
| 27 | ๐ฎ๐ฉ Seminyak | 20% | ||
| 28 | ๐ฒ๐ฝ Cabo San Lucas | 20% | ||
| 29 | ๐ต๐ฆ Panama City | 20% | ||
| 30 | ๐ช๐ฌ Luxor | 20% | Share of visiting nomads who like partyingn=154,887 nomads | |
๐ด Quietest visitors | ||||
| # | City | Parties | ||
| 1 | ๐ธ๐ช Malmรถ | 10% | ||
| 2 | ๐ฎ๐ฉ Sanur | 10% | ||
| 3 | ๐ฉ๐ช Hamburg | 10% | ||
| 4 | ๐ท๐ธ Novi Sad | 11% | ||
| 5 | ๐จ๐ณ Chengdu | 11% | ||
| 6 | ๐ฎ๐น Lake Como | 12% | ||
| 7 | ๐ฒ๐ฆ Essaouira | 12% | ||
| 8 | ๐ง๐ช Antwerp | 12% | ||
| 9 | ๐ฎ๐น Verona | 12% | ||
| 10 | ๐บ๐ธ Dallas | 12% | ||
| 11 | ๐ฆ๐ฒ Yerevan | 12% | ||
| 12 | ๐ฐ๐ฌ Bishkek | 12% | ||
| 13 | ๐บ๐ฟ Tashkent | 12% | ||
| 14 | ๐ง๐พ Minsk | 13% | ||
| 15 | ๐ฑ๐ฐ Weligama | 13% | ||
| 16 | ๐ฒ๐ฝ San Miguel de Allende | 13% | ||
| 17 | ๐ต๐ฑ Wrocลaw | 13% | ||
| 18 | ๐ฎ๐ณ Bengaluru | 13% | ||
| 19 | ๐ต๐ญ Siargao | 13% | ||
| 20 | ๐ฌ๐ช Tbilisi | 13% | ||
| 21 | ๐ต๐พ Asuncion | 13% | ||
| 22 | ๐ธ๐ช Gothenburg | 13% | ||
| 23 | ๐ง๐ฌ Plovdiv | 13% | ||
| 24 | ๐ฎ๐น Pisa | 13% | ||
| 25 | ๐ด๐ฒ Muscat | 13% | ||
| 26 | ๐น๐ญ Chiang Rai | 13% | ||
| 27 | ๐ฑ๐ฐ Galle | 13% | ||
| 28 | ๐ซ๐ท Strasbourg | 13% | ||
| 29 | ๐จ๐ญ Geneva | 13% | ||
| 30 | ๐ณ๐ด Bergen | 13% | Share of visiting nomads who like partyingn=154,887 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 | ๐ช๐จ Quito | 75% | ||
| 4 | ๐ฐ๐ช Nairobi | 75% | ||
| 5 | ๐จ๐ด Cartagena | 74% | ||
| 6 | ๐ฒ๐ฝ Puerto Escondido | 74% | ||
| 7 | ๐ง๐ท Rio de Janeiro | 74% | ||
| 8 | ๐ฌ๐น Antigua | 73% | ||
| 9 | ๐ช๐ฌ Cairo | 73% | ||
| 10 | ๐ต๐ญ Manila | 73% | ||
| 11 | ๐ง๐ท Florianopolis | 73% | ||
| 12 | ๐จ๐ท San Josรฉ | 73% | ||
| 13 | ๐ฆ๐ท Buenos Aires | 73% | ||
| 14 | ๐ง๐ฌ Bansko | 73% | ||
| 15 | ๐ช๐ธ Ibiza | 72% | ||
| 16 | ๐ต๐ช Lima | 72% | ||
| 17 | ๐ต๐ฆ Panama City | 72% | ||
| 18 | ๐ต๐พ Asuncion | 72% | ||
| 19 | ๐ต๐ช Cusco | 72% | ||
| 20 | ๐น๐ผ Taipei | 72% | ||
| 21 | ๐ญ๐ท Zagreb | 72% | ||
| 22 | ๐ฎ๐ฉ Canggu | 72% | ||
| 23 | ๐ฒ๐ฝ Mexico City | 72% | ||
| 24 | ๐ง๐ท Sรฃo Paulo | 72% | ||
| 25 | ๐ช๐ธ Gran Canaria | 71% | ||
| 26 | ๐จ๐ด Bogota | 71% | ||
| 27 | ๐ฑ๐ฆ Vientiane | 71% | ||
| 28 | ๐ฒ๐ฝ Playa del Carmen | 71% | ||
| 29 | ๐ช๐ธ Valencia | 71% | ||
| 30 | ๐ฒ๐ฝ Oaxaca | 71% | Share of visiting nomads who are singlen=73,461 nomads | |
๐ Most coupled-up visitors | ||||
| # | City | Single | ||
| 1 | ๐น๐ญ Ko Phi Phi | 57% | ||
| 2 | ๐ป๐ฆ Vatican City | 60% | ||
| 3 | ๐ฉ๐ช Frankfurt | 60% | ||
| 4 | ๐จ๐พ Larnaca | 60% | ||
| 5 | ๐ฒ๐พ Penang | 60% | ||
| 6 | ๐ฆ๐น Salzburg | 60% | ||
| 7 | ๐ฑ๐ฐ Colombo | 60% | ||
| 8 | ๐น๐ญ Ko Lanta | 61% | ||
| 9 | ๐บ๐ธ Seattle | 61% | ||
| 10 | ๐น๐ท Antalya | 61% | ||
| 11 | ๐ฆ๐ช Abu Dhabi | 61% | ||
| 12 | ๐ง๐ช Bruges | 62% | ||
| 13 | ๐น๐ญ Krabi | 62% | ||
| 14 | ๐ณ๐ด Oslo | 62% | ||
| 15 | ๐ท๐บ Moscow | 62% | ||
| 16 | ๐บ๐ธ Las Vegas | 62% | ||
| 17 | ๐จ๐บ Havana | 62% | ||
| 18 | ๐บ๐ธ Austin | 62% | ||
| 19 | ๐ฒ๐น Sliema | 62% | ||
| 20 | ๐ถ๐ฆ Doha | 63% | ||
| 21 | ๐ญ๐ฐ Hong Kong | 63% | ||
| 22 | ๐ท๐บ Saint Petersburg | 63% | ||
| 23 | ๐บ๐ธ San Francisco | 63% | ||
| 24 | ๐ซ๐ท Paris | 63% | ||
| 25 | ๐ฉ๐ช Hamburg | 63% | ||
| 26 | ๐ฎ๐น Milan | 63% | ||
| 27 | ๐บ๐ธ San Diego | 63% | ||
| 28 | ๐บ๐ธ Los Angeles | 63% | ||
| 29 | ๐จ๐ณ Beijing | 63% | ||
| 30 | ๐จ๐ฆ Vancouver | 63% | Share of visiting nomads who are singlen=73,461 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 | 87% | ||
| 2 | ๐จ๐ญ Zurich | 83% | ||
| 3 | ๐ฟ๐ฆ Cape Town | 78% | ||
| 4 | ๐ณ๐ด Oslo | 77% | ||
| 5 | ๐ฎ๐ธ Reykjavik | 74% | ||
| 6 | ๐จ๐ญ Geneva | 74% | ||
| 7 | ๐ต๐น Madeira | 73% | ||
| 8 | ๐ง๐ท Florianopolis | 72% | ||
| 9 | ๐ธ๐ช Stockholm | 72% | ||
| 10 | ๐ฎ๐ฑ Tel Aviv | 71% | ||
| 11 | ๐บ๐ธ New York City | 70% | ||
| 12 | ๐ฒ๐ฝ Tulum | 70% | ||
| 13 | ๐ง๐ท Rio de Janeiro | 69% | ||
| 14 | ๐ช๐ธ Ibiza | 68% | ||
| 15 | ๐ฉ๐ฐ Copenhagen | 66% | ||
| 16 | ๐บ๐ธ Chicago | 65% | ||
| 17 | ๐บ๐ธ Austin | 65% | ||
| 18 | ๐จ๐ฆ Montreal | 64% | ||
| 19 | ๐ฆ๐บ Sydney | 64% | ||
| 20 | ๐ฒ๐ฆ Marrakesh | 64% | ||
| 21 | ๐ฉ๐ช Frankfurt | 64% | ||
| 22 | ๐ง๐ท Sรฃo Paulo | 64% | ||
| 23 | ๐ช๐ธ Mallorca | 63% | ||
| 24 | ๐ฉ๐ช Munich | 63% | ||
| 25 | ๐ธ๐ฎ Ljubljana | 62% | ||
| 26 | ๐ฒ๐ฝ Puerto Escondido | 62% | ||
| 27 | ๐บ๐ธ San Diego | 61% | ||
| 28 | ๐บ๐ธ San Francisco | 60% | ||
| 29 | ๐ฎ๐น Palermo | 60% | ||
| 30 | ๐จ๐ด Cartagena | 59% | Blend of attractiveness, income & education of visiting nomadsn=48,543 nomads | |
๐๏ธ Least attractive, lowest income & least educated | ||||
| # | City | Score | ||
| 1 | ๐น๐ญ Pattaya | 1% | ||
| 2 | ๐ฑ๐ฐ Colombo | 6% | ||
| 3 | ๐ป๐ณ Da Nang | 8% | ||
| 4 | ๐ฎ๐ฉ Jakarta | 12% | ||
| 5 | ๐ฒ๐พ Kuala Lumpur | 13% | ||
| 6 | ๐ต๐ญ Manila | 13% | ||
| 7 | ๐ต๐ญ Cebu | 14% | ||
| 8 | ๐ฆ๐ฑ Tirana | 14% | ||
| 9 | ๐น๐ญ Phuket | 14% | ||
| 10 | ๐ฐ๐ญ Phnom Penh | 14% | ||
| 11 | ๐ฏ๐ต Fukuoka | 15% | ||
| 12 | ๐ป๐ณ Ho Chi Minh City | 15% | ||
| 13 | ๐ป๐ณ Hanoi | 19% | ||
| 14 | ๐บ๐พ Montevideo | 20% | ||
| 15 | ๐ฎ๐ฉ Seminyak | 21% | ||
| 16 | ๐น๐ญ Krabi | 22% | ||
| 17 | ๐ฏ๐ต Osaka | 23% | ||
| 18 | ๐ฐ๐ฟ Almaty | 23% | ||
| 19 | ๐ฒ๐พ Penang | 24% | ||
| 20 | ๐น๐ญ Bangkok | 24% | ||
| 21 | ๐ฐ๐ญ Siem Reap | 25% | ||
| 22 | ๐ฐ๐ท Busan | 26% | ||
| 23 | ๐ท๐ธ Belgrade | 26% | ||
| 24 | ๐ต๐พ Asuncion | 27% | ||
| 25 | ๐น๐ผ Taipei | 27% | ||
| 26 | ๐ป๐ฆ Vatican City | 29% | ||
| 27 | ๐ป๐ณ Hoi An | 30% | ||
| 28 | ๐น๐ท Antalya | 31% | ||
| 29 | ๐ช๐จ Quito | 31% | ||
| 30 | ๐ถ๐ฆ Doha | 31% | Blend of attractiveness, income & education of visiting nomadsn=48,543 nomads | |
Share of members from each signup country ever warned by our moderators or by Nomad Bot, for things like self promotion, job posts or spam. Human mods issued most warnings from 2019 to 2023, Nomad Bot took over in 2024. Only countries with at least 100 members are ranked.
๐บ Most spammy countries |
||
| # | Country | Warned |
| 1 | ๐ฆ๐ท Argentina | 24.4% |
| 2 | ๐ฑ๐น Lithuania | 20% |
| 3 | ๐จ๐ด Colombia | 19.2% |
| 4 | ๐ฎ๐น Italy | 18.9% |
| 5 | ๐ช๐ธ Spain | 18.8% |
| 6 | ๐ง๐ช Belgium | 18.4% |
| 7 | ๐ง๐ท Brazil | 17.7% |
| 8 | ๐บ๐ฆ Ukraine | 17.6% |
| 9 | ๐ฟ๐ฆ South Africa | 17.6% |
| 10 | ๐ช๐ช Estonia | 17.4% | Share of members by country warned for spamming chatn=42,071 members |
๐ Least spammy countries |
||
| # | Country | Warned |
| 1 | ๐ญ๐ฐ Hong Kong | 5.4% |
| 2 | ๐ฏ๐ต Japan | 8% |
| 3 | ๐ณ๐ด Norway | 8.1% |
| 4 | ๐ฆ๐ช United Arab Emirates | 8.7% |
| 5 | ๐บ๐ธ United States | 9.2% |
| 6 | ๐น๐ญ Thailand | 9.2% |
| 7 | ๐ฐ๐ท South Korea | 9.4% |
| 8 | ๐ท๐บ Russia | 11.2% |
| 9 | ๐จ๐ณ China | 11.3% |
| 10 | ๐ง๐ฌ Bulgaria | 11.3% | Share of members by country warned for spamming chatn=42,071 members |
Check out Nomads.com to find the best places to live and work remotely, and meet other people also traveling as a digital nomad.


3 going ๐ฅ
๐ฅพ
Let's go hiking in Straussberg lake
๐ฉ๐ช Berlin · Sat Oct 24, 9:00
2 going ๐ฅ
โ
Saturday Morning Coffee
๐ต๐น Lisbon · Sat Oct 24, 10:00



~5 expected ๐ฅ
โ
CO-WORK Tuesdays
๐ป๐ณ Da Nang · Tue Oct 27, 11:00
1 going ๐ฅ
โ
Thursday cowork in Jaz
๐ฆ๐น Vienna · Thu Oct 29, 19:00

~5 expected ๐ฅ
๐น
Meetup #122: ParaguayNomads Thursday Social at La Vermuterรญa
๐ต๐พ Asuncion · Thu Oct 29, 20:00
~2 expected ๐ฅ
โ
Mini Creative Coworking (must RSVP!)
๐ต๐น Ericeira · Wed Nov 4, 8:00
~3 expected ๐ฅ
โ
Coffee and conversation in Hong Kong
๐ญ๐ฐ Hong Kong · Wed Nov 4, 11:00

~4 expected ๐ฅ
๐
Thursday tapas dinner in Leblon
๐ง๐ท Rio de Janeiro · Thu Nov 5, 19:00
1 going ๐ฅ
โ
Creative Coworking
๐ต๐น Ericeira · Fri Nov 6, 10:00


~5 expected ๐ฅ
โ
Dubai Marina, Marina Hike @ Dusk
๐ฆ๐ช Dubai · Sun Nov 15, 17:00



~15 expected ๐ฅ
๐
Sauna at Slush Day zero
๐ซ๐ฎ Helsinki · Mon Nov 16, 13:00
1 going ๐ฅ
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