๐ถ 34-year old
๐ณ๏ธโ๐ Progressive
๐ซ Not religious
๐ Single
โ๐ป White
๐ Heterosexual
๐จ โ Man
๐
with a
Bachelor's
๐ป
works as a
Software Dev
๐ก
from
a Home office
๐ฐ
makes
$85,000 / y
โ๏ธ
loves
Coffee
๐ฅฉ eats meat
๐ฅพ
works out by
Hiking
๐จ๐ด
loves
Medellรญn most
๐
is vaccinated
๐
produces 74% less COโ
7๏ธโฃ
and stays for
7 months
Remote work is now on an exponential trajectory and growing fast. With its growth, hundreds of millions of people who are now newly working remotely from home, a cafe, or coworking space, will realize they've become location independent and travel or move to new places. In this report, we try to figure out who these people are, what work do they do, and how they spend their life based on data from tens of thousands of Nomad List members.
This page is built LIVE with data pulled straight from the database every day, so it's always up-to-date. Conclusions you can derive from this are always limited and merely indicative but possibly interesting. Nomad List is a paid membership community, which means there's a selection bias as people who do not or cannot pay are not in the dataset. On the other hand, free digital nomad communities, like on Facebook, require no commitment to join, therefore it's not clear if these people are merely aspirational or active nomads or not. On Nomad List we can confirm they are active based on their travel logs.
The title of this report is inspired by Buffer's amazing annual remote work report (and used with permission).
You can freely use this page's data, as long as you reference us as "Nomad List" (with space in between) and use our logo and link back on every data mention! Thanks!. If you like this, also see the live network graph of all travels on Nomad List and the fastest growing remote work hubs of 2023.
Last updated: 52 minutes ago
๐ถ Nomads by age |
||||
Age | % | |||
18 |
0.1%
|
|||
20 |
0.1%
|
|||
21 |
0.2%
|
|||
22 |
0.3%
|
|||
23 |
1%
|
|||
24 |
1%
|
|||
25 |
2%
|
|||
26 |
2%
|
|||
27 |
3%
|
|||
28 |
3%
|
|||
29 |
5%
|
|||
30 |
6%
|
|||
31 |
7%
|
|||
32 |
6%
|
|||
33 |
6%
|
|||
34 |
8%
|
|||
35 |
6%
|
|||
36 |
6%
|
|||
37 |
5%
|
|||
38 |
5%
|
|||
39 |
4%
|
|||
40 |
4%
|
|||
41 |
3%
|
|||
42 |
2%
|
|||
43 |
2%
|
n=1,154 |
โณ๏ธ Nomads by nationality |
||||
# | Country | People | % | |
1 | ๐บ๐ธ United States | 31,708,935 | 46% | |
2 | ๐ฌ๐ง United Kingdom | 4,976,188 | 7% | |
3 | ๐ท๐บ Russia | 3,302,831 | 5% | |
4 | ๐จ๐ฆ Canada | 3,121,453 | 5% | |
5 | ๐ฉ๐ช Germany | 2,568,544 | 4% | |
6 | ๐ซ๐ท France | 2,150,205 | 3% | |
7 | ๐ง๐ท Brazil | 1,632,400 | 2% | |
8 | ๐ฆ๐บ Australia | 1,594,369 | 2% | |
9 | ๐ณ๐ฑ Netherlands | 1,216,987 | 2% | |
10 | ๐ช๐ธ Spain | 1,120,447 | 2% | |
11 | ๐ฎ๐ณ India | 953,696 | 1% | |
12 | ๐บ๐ฆ Ukraine | 895,187 | 1% | |
13 | ๐ฎ๐น Italy | 813,275 | 1% | |
14 | ๐ต๐ฑ Poland | 792,796 | 1% | |
15 | ๐จ๐ญ Switzerland | 655,300 | 1% | |
16 | ๐ฆ๐น Austria | 544,133 | 1% | |
17 | ๐ธ๐ช Sweden | 459,295 | 1% | |
18 | ๐ฎ๐ช Ireland | 438,817 | 1% | |
19 | ๐ฎ๐ฑ Israel | 412,488 | 1% | |
20 | ๐ฏ๐ต Japan | 400,786 | 1% | |
21 | ๐น๐ท Turkey | 394,936 | 1% | |
22 | ๐จ๐ฟ Czechia | 368,606 | 1% | |
23 | ๐ง๐ช Belgium | 362,756 | 1% | |
24 | ๐ฐ๐ท South Korea | 348,128 | 1% | |
25 | ๐ฟ๐ฆ South Africa | 342,277 | 0% | |
26 | ๐ธ๐ฌ Singapore | 321,799 | 0% | |
27 | ๐ฒ๐ฝ Mexico | 321,799 | 0% | |
28 | ๐ต๐น Portugal | 318,874 | 0% | |
29 | ๐ฆ๐ท Argentina | 307,172 | 0% | |
30 | ๐ณ๐ฟ New Zealand | 301,321 | 0% | n=23,522 |
๐ถ Nomads by gender |
||||
Gender | % | |||
๐จโ Men |
61%
|
|||
๐ฑโโ๏ธ Women |
39%
|
|||
๐ง Other |
1%
|
Last 30 days. n=299 |
๐ Nomads by sexuality |
||||
Sexuality | % | |||
๐ Heterosexual |
87%
|
|||
๐ฆ Bisexual |
8%
|
|||
๐ณ๏ธโ๐ Gay or lesbian |
5%
|
n=13,730 |
๐ Nomads by beliefs |
||||
Religion | % | |||
๐ซ Not religious |
54%
|
|||
๐ Spirituality |
28%
|
|||
โช๏ธ Christianity |
8%
|
|||
๐ Buddhism |
3%
|
|||
โจ Astrology |
2%
|
|||
๐ Islam |
2%
|
|||
๐ Judaism |
2%
|
|||
๐ Hinduism |
1%
|
|||
๐ณ Sikhism |
0%
|
n=6,889 |
โ Nomads by ethnicity |
||||
Ethnicity | % | |||
โ๐ป White |
59%
|
|||
โ๐พ Non-white |
41%
|
|||
↱โ๐ผ Asian |
13%
|
|||
↱โ๐ฝ Latin |
12%
|
|||
↱โ๐ฟ Black |
7%
|
|||
↱โ๐ฝ Indian |
5%
|
|||
↱โ๐พ Middle Eastern |
3%
|
|||
↱โ๐ฝ Pacific |
1%
|
n=6,080 |
๐ Education |
||||
Education | % | |||
๐ High School |
10%
|
|||
๐ Higher education |
90%
|
|||
↱๐ Bachelor's |
54%
|
|||
↱๐ Master's |
34%
|
|||
↱๐ฉโ๐ซ PhD |
3%
|
n=13,892 |
โค๏ธ Nomads by relationship |
||||
Relationship | % | |||
๐ Single |
66%
|
|||
๐ In a relationship |
34%
|
n=7,377 |
๐ Nomads looking for |
||||
Looking for | % | |||
๐ค Friends |
35%
|
|||
๐ Travel buddies |
32%
|
|||
๐น Casual dating |
15%
|
|||
โค๏ธ Relationship |
13%
|
|||
๐ Poly dating |
4%
|
n=46,693 |
๐ฐ Nomads by income |
||||
Income | % | |||
< $25k / y |
6%
|
|||
$25k - $50k / y |
15%
|
|||
$50k - $100k / y |
34%
|
|||
$100k - $250k / y |
35%
|
|||
> $250k - $1M / y |
8%
|
|||
> $1M / y |
2%
|
|||
Average | $122,472 / y | |||
Median | $85,000 / y | n=3,542 |
๐ฐ Nomads by employment |
||||
Employment type | % | |||
Full time |
42%
|
|||
Freelance |
17%
|
|||
Startup founder |
16%
|
|||
Full time contractor |
9%
|
|||
Agency |
8%
|
|||
Other |
5%
|
|||
Part time |
2%
|
|||
Part time contractor |
2%
|
n=4,078 |
๐ก Where do nomads work from |
||||
Place | % | |||
๐ก Home office |
60%
|
|||
๐ฌ Coworking |
15%
|
|||
โ๏ธ Cafe |
8%
|
|||
๐ข Office |
6%
|
|||
๐ฝ Dining table |
4%
|
|||
๐ Couch |
3%
|
|||
๐ Bed |
2%
|
|||
๐ช Balcony |
1%
|
|||
๐ Van |
1%
|
|||
๐ช Kitchen |
0%
|
|||
๐ฆ Pool |
0%
|
|||
๐ชด Garden |
0%
|
|||
๐ฅ Boat |
0%
|
|||
๐ Library |
0%
|
n=3,106 |
๐ฌ What messaging apps nomads use? |
||||
Messaging app | % | |||
Telegram |
46%
|
|||
45%
|
||||
6%
|
||||
2%
|
||||
LINE |
0%
|
|||
0%
|
||||
Snapchat |
0%
|
|||
Slack |
0%
|
n=3,984 |
โ๏ธ Nomad men by politics |
||||
Politics | % | |||
๐ณ๏ธโ๐ Progressive |
48%
|
|||
โ๏ธ Non-progressive |
52%
|
|||
↱๐ฝ Libertarian |
26%
|
|||
↱โ๏ธ Centrist |
21%
|
|||
↱๐ด Conservative |
6%
|
n=3,182 |
โ๏ธ Nomad women by politics |
||||
Politics | % | |||
๐ณ๏ธโ๐ Progressive |
73%
|
|||
โ๏ธ Non-progressive |
27%
|
|||
↱๐ฝ Libertarian |
12%
|
|||
↱โ๏ธ Centrist |
12%
|
|||
↱๐ด Conservative |
3%
|
n=748 |
๐ฅฉ 75% of ๐จโ men eat meat
๐ฅฉ 55% of ๐ฑโโ๏ธwomen eat meat
๐ซ 38% of nomads don't eat meat
๐ฅ 12% are vegetarian
๐ฅ 12% are vegan
๐ 5% are pescetarian
๐ Nomad men by diet |
||||
Diet | % | |||
๐ฅฉ Eats meat |
75%
|
|||
๐ซ Does not eat meat |
25%
|
|||
↱๐ฅ Vegan |
11%
|
|||
↱๐ฅ Vegetarian |
10%
|
|||
↱๐ Pescetarian |
4%
|
n=4,875 |
๐ Nomad women by diet |
||||
Diet | % | |||
๐ฅฉ Eats meat |
55%
|
|||
๐ซ Does not eat meat |
45%
|
|||
↱๐ฅ Vegetarian |
19%
|
|||
↱๐ฅ Vegan |
16%
|
|||
↱๐ Pescetarian |
10%
|
n=1,121 |
๐ฅพ Hiking
๐ช Fitness
๐ Running
๐คธโโ๏ธ Yoga
๐ Swimming
๐ด Cycling
๐ Nomad men by sports |
||||
Sport | % | |||
๐ฅพ Hiking |
49%
|
|||
๐ช Fitness |
47%
|
|||
๐ Running |
29%
|
|||
๐ด Cycling |
26%
|
|||
๐ Swimming |
24%
|
|||
๐คธโโ๏ธ Yoga |
21%
|
|||
๐ Surfing |
18%
|
|||
โฐ Climbing |
16%
|
|||
๐ Diving |
16%
|
|||
๐ Snowboarding |
16%
|
|||
โท Skiing |
16%
|
|||
๐พ Tennis |
14%
|
|||
๐ Motorcycling |
14%
|
|||
๐ช Fight sports |
11%
|
|||
๐ช Crossfit |
9%
|
n=9,186 |
๐ Nomad women by sports |
||||
Sport | % | |||
๐ฅพ Hiking |
52%
|
|||
๐คธโโ๏ธ Yoga |
44%
|
|||
๐ช Fitness |
39%
|
|||
๐ Swimming |
24%
|
|||
๐ Running |
21%
|
|||
๐ด Cycling |
18%
|
|||
๐ Diving |
15%
|
|||
๐ Surfing |
14%
|
|||
โฐ Climbing |
13%
|
|||
โท Skiing |
11%
|
|||
๐พ Tennis |
10%
|
|||
๐ Snowboarding |
9%
|
|||
๐ช Crossfit |
6%
|
|||
๐ Motorcycling |
5%
|
|||
๐ช Fight sports |
5%
|
n=2,297 |
๐จ๐ด Medellรญn
๐ต๐น Portimรฃo
๐ช๐ธ Madrid
๐ญ๐บ Budapest
๐บ๐ธ Chicago
๐ฎ๐น Rome
๐ Most liked cities by men |
||||
# | City | Rating | ||
1 | ๐ช๐ธ Barcelona | 4.67 | ||
2 | ๐ต๐น Porto | 4.62 | ||
3 | ๐ญ๐บ Budapest | 4.62 | ||
4 | ๐ช๐ธ Madrid | 4.58 | ||
5 | ๐ฌ๐ช Tbilisi | 4.55 | ||
6 | ๐จ๐ด Medellรญn | 4.50 | ||
7 | ๐ฐ๐ท Seoul | 4.44 | ||
8 | ๐ฎ๐น Rome | 4.38 | ||
9 | ๐ง๐ท Rio de Janeiro | 4.38 | ||
10 | ๐น๐ญ Ko Pha Ngan | 4.29 | ||
11 | ๐จ๐ฟ Prague | 4.29 | ||
12 | ๐จ๐ด Bogota | 4.29 | ||
13 | ๐ฒ๐ฆ Marrakesh | 4.29 | ||
14 | ๐น๐ญ Bangkok | 4.29 | ||
15 | ๐ฆ๐ช Dubai | 4.29 | n=4,652 |
๐ Most liked cities by women |
||||
# | City | Rating | ||
1 | ๐ฒ๐ฝ Playa del Carmen | 4.00 | ||
2 | ๐น๐ญ Chiang Mai | 3.75 | ||
3 | ๐ช๐ธ Gran Canaria | 3.75 | ||
4 | ๐ช๐ธ Barcelona | 3.75 | ||
5 | ๐ฉ๐ช Munich | 3.75 | ||
6 | ๐ต๐น Porto | 3.75 | ||
7 | ๐ฉ๐ช Berlin | 3.75 | ||
8 | ๐ฌ๐ช Tbilisi | 3.75 | ||
9 | ๐ฌ๐ง Manchester | 3.75 | ||
10 | ๐ท๐ธ Belgrade | 3.75 | ||
11 | ๐ซ๐ท Paris | 3.75 | ||
12 | ๐ฆ๐น Vienna | 3.75 | ||
13 | ๐ช๐ธ Valencia | 3.00 | ||
14 | ๐จ๐ฆ Montreal | 3.00 | n=4,652 |
๐ Most visited cities |
||||
# | City | % visited | ||
1 | ๐ฌ๐ง London | 2.33% | ||
2 | ๐น๐ญ Bangkok | 1.97% | ||
3 | ๐บ๐ธ New York City | 1.57% | ||
4 | ๐ฉ๐ช Berlin | 1.54% | ||
5 | ๐ซ๐ท Paris | 1.51% | ||
6 | ๐ต๐น Lisbon | 1.51% | ||
7 | ๐ช๐ธ Barcelona | 1.48% | ||
8 | ๐ณ๐ฑ Amsterdam | 1.3% | ||
9 | ๐บ๐ธ San Francisco | 1.21% | ||
10 | ๐น๐ญ Chiang Mai | 1.09% | ||
11 | ๐ฒ๐ฝ Mexico City | 0.99% | ||
12 | ๐ธ๐ฌ Singapore | 0.91% | ||
13 | ๐ฎ๐ฉ Canggu | 0.9% | ||
14 | ๐บ๐ธ Los Angeles | 0.89% | ||
15 | ๐น๐ท Istanbul | 0.84% | ||
16 | ๐ญ๐บ Budapest | 0.83% | ||
17 | ๐ช๐ธ Madrid | 0.8% | ||
18 | ๐ฏ๐ต Tokyo | 0.79% | ||
19 | ๐จ๐ฟ Prague | 0.74% | ||
20 | ๐ฒ๐พ Kuala Lumpur | 0.73% | ||
21 | ๐ฆ๐ช Dubai | 0.67% | ||
22 | ๐ท๐บ Moscow | 0.64% | ||
23 | ๐จ๐ด Medellรญn | 0.63% | ||
24 | ๐ฆ๐ท Buenos Aires | 0.63% | ||
25 | ๐ฎ๐น Rome | 0.6% | ||
26 | ๐ฆ๐น Vienna | 0.59% | ||
27 | ๐ญ๐ฐ Hong Kong | 0.52% | ||
28 | ๐ฎ๐ฉ Ubud | 0.52% | ||
29 | ๐ต๐น Porto | 0.52% | ||
30 | ๐ป๐ณ Ho Chi Minh City | 0.52% | n=306,385 |
๐ Most visited countries |
||||
# | Country | % visited | ||
1 | ๐บ๐ธ United States | 15% | ||
2 | ๐ช๐ธ Spain | 5% | ||
3 | ๐น๐ญ Thailand | 5% | ||
4 | ๐ฌ๐ง United Kingdom | 4% | ||
5 | ๐ฉ๐ช Germany | 4% | ||
6 | ๐ฒ๐ฝ Mexico | 4% | ||
7 | ๐ซ๐ท France | 3% | ||
8 | ๐ฎ๐น Italy | 3% | ||
9 | ๐ต๐น Portugal | 3% | ||
10 | ๐ฎ๐ฉ Indonesia | 2% | ||
11 | ๐จ๐ฆ Canada | 2% | ||
12 | ๐ง๐ท Brazil | 2% | ||
13 | ๐ณ๐ฑ Netherlands | 2% | ||
14 | ๐ฏ๐ต Japan | 2% | ||
15 | ๐ท๐บ Russia | 2% | ||
16 | ๐ป๐ณ Vietnam | 2% | ||
17 | ๐จ๐ด Colombia | 1% | ||
18 | ๐น๐ท Turkey | 1% | ||
19 | ๐ฆ๐บ Australia | 1% | ||
20 | ๐ต๐ฑ Poland | 1% | ||
21 | ๐ฎ๐ณ India | 1% | ||
22 | ๐ฌ๐ท Greece | 1% | ||
23 | ๐ฒ๐พ Malaysia | 1% | ||
24 | ๐จ๐ญ Switzerland | 1% | ||
25 | ๐ฆ๐ท Argentina | 1% | ||
26 | ๐ญ๐ท Croatia | 1% | ||
27 | ๐ฆ๐น Austria | 1% | ||
28 | ๐ญ๐บ Hungary | 1% | ||
29 | ๐ธ๐ฌ Singapore | 1% | n=306,385 |
๐ Avg. COโ by member traveling |
||||
Year | COโ | |||
2013 |
711 kg/y
|
|||
2014 |
998 kg/y
|
|||
2015 |
1,089 kg/y
|
|||
2016 |
1,324 kg/y
|
|||
2017 |
1,525 kg/y
|
|||
2018 |
1,626 kg/y
|
|||
2019 |
1,645 kg/y
|
|||
2020 |
1,014 kg/y
|
|||
2021 |
1,027 kg/y
|
|||
2022 |
1,653 kg/y
|
|||
2023 |
1,728 kg/y
|
|||
Average | 1,293 kg/y | |||
Median | 1,323 kg/y |
Based on 306,385 trips by 12,556 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 1,323 kg/y, or 74% less COโ than the average American on travel and commuting. Also see Nomad List's COโ removal donations. |
๐จ Where men go most |
||||
# | Tag | vs. ๐ฑโโ๏ธ | ||
1 | ๐น๐ญ Bangkok | +19% | ||
2 | ๐ต๐น Lisbon | -12% | ||
3 | ๐ช๐ธ Barcelona | -8% | ||
4 | ๐ฌ๐ง London | -21% | ||
5 | ๐ซ๐ท Paris | -19% | ||
6 | ๐ฉ๐ช Berlin | -2% | ||
7 | ๐ณ๐ฑ Amsterdam | +3% | ||
8 | ๐น๐ญ Chiang Mai | -3% | ||
9 | ๐ฎ๐ฉ Canggu | +1% | ||
10 | ๐น๐ท Istanbul | +11% | ||
11 | ๐ญ๐บ Budapest | +19% | ||
12 | ๐ฒ๐ฝ Mexico City | -24% | ||
13 | ๐ธ๐ฌ Singapore | +7% | ||
14 | ๐จ๐ฟ Prague | +17% | ||
15 | ๐ฏ๐ต Tokyo | +14% | median temp=18°C; n=306,385 |
๐ฑโโ๏ธ Where women go most |
||||
# | Tag | vs. ๐จ | ||
1 | ๐ต๐น Lisbon | +14% | ||
2 | ๐ฌ๐ง London | +27% | ||
3 | ๐ซ๐ท Paris | +24% | ||
4 | ๐ช๐ธ Barcelona | +8% | ||
5 | ๐น๐ญ Bangkok | -16% | ||
6 | ๐ฉ๐ช Berlin | +2% | ||
7 | ๐ฒ๐ฝ Mexico City | +31% | ||
8 | ๐น๐ญ Chiang Mai | +4% | ||
9 | ๐ณ๐ฑ Amsterdam | -3% | ||
10 | ๐ฎ๐ฉ Canggu | -1% | ||
11 | ๐ฎ๐น Rome | +23% | ||
12 | ๐น๐ท Istanbul | -10% | ||
13 | ๐ธ๐ฌ Singapore | -6% | ||
14 | ๐ช๐ธ Madrid | +7% | ||
15 | ๐บ๐ธ New York City | +6% | median temp=18°C; n=306,385 |
๐จ Where men go more |
||||
# | Tag | vs. women | ||
1 | ๐บ๐ฆ Ukraine | +90% | ||
2 | ๐ท๐บ Russia | +79% | ||
3 | ๐ท๐ด Romania | +74% | ||
4 | ๐ต๐ฑ Poland | +69% | ||
5 | ๐ฌ๐ช Georgia | +52% | ||
6 | ๐ญ๐ฐ Hong Kong | +34% | ||
7 | ๐ณ๐ฟ New Zealand | +29% | ||
8 | ๐ท๐ธ Serbia | +29% | ||
9 | ๐ฆ๐ช United Arab Emirates | +25% | ||
10 | ๐ต๐ญ Philippines | +24% | ||
11 | ๐ฏ๐ต Japan | +23% | ||
12 | ๐ณ๐ด Norway | +22% | ||
13 | ๐จ๐ฟ Czechia | +20% | ||
14 | ๐ญ๐บ Hungary | +19% | ||
15 | ๐ธ๐ช Sweden | +18% | median temp=13.5°C; n=306,385 |
๐ฑโโ๏ธ Where women go more |
||||
# | Tag | vs. men | ||
1 | ๐ฟ๐ฆ South Africa | +53% | ||
2 | ๐จ๐ท Costa Rica | +45% | ||
3 | ๐ฒ๐ฝ Mexico | +44% | ||
4 | ๐จ๐ฑ Chile | +28% | ||
5 | ๐ฌ๐ง United Kingdom | +27% | ||
6 | ๐ญ๐ท Croatia | +20% | ||
7 | ๐ฎ๐น Italy | +16% | ||
8 | ๐ซ๐ท France | +16% | ||
9 | ๐ต๐ช Peru | +15% | ||
10 | ๐ฌ๐ท Greece | +14% | ||
11 | ๐ฆ๐ท Argentina | +11% | ||
12 | ๐บ๐ธ United States | +9% | ||
13 | ๐ฆ๐บ Australia | +8% | ||
14 | ๐ต๐น Portugal | +8% | ||
15 | ๐ช๐ธ Spain | +7% | median temp=19°C; n=306,385 |
๐ Most liked countries |
||||
# | Country | Rating | ||
1 | ๐ฒ๐พ Malaysia | 4.8 | ||
2 | ๐ฎ๐น Italy | 4.8 | ||
3 | ๐จ๐ด Colombia | 4.75 | ||
4 | ๐ฐ๐ท South Korea | 4.65 | ||
5 | ๐ฉ๐ช Germany | 4.65 | ||
6 | ๐ต๐ฑ Poland | 4.6 | ||
7 | ๐ช๐ธ Spain | 4.6 | ||
8 | ๐ซ๐ท France | 4.6 | ||
9 | ๐ฌ๐ช Georgia | 4.55 | ||
10 | ๐ฎ๐ณ India | 4.55 | ||
11 | ๐บ๐ฆ Ukraine | 4.5 | ||
12 | ๐ณ๐ฑ Netherlands | 4.5 | ||
13 | ๐น๐ท Turkey | 4.45 | ||
14 | ๐จ๐ฆ Canada | 4.45 | ||
15 | ๐ฆ๐ช United Arab Emirates | 4.45 | n=1,914 |
๐คฎ Least liked countries |
||||
# | Country | Rating | ||
1 | ๐ฎ๐ท Iran | 1.65 | ||
2 | ๐ญ๐ณ Honduras | 1.65 | ||
3 | ๐ฑ๐น Lithuania | 2 | ||
4 | ๐ฒ๐น Malta | 2.5 | ||
5 | ๐ง๐ง Barbados | 2.5 | ||
6 | ๐ฐ๐ต North Korea | 2.5 | ||
7 | ๐ฌ๐ฎ Gibraltar | 2.5 | ||
8 | ๐จ๐ฒ Cameroon | 2.5 | ||
9 | ๐จ๐ฑ Chile | 2.7 | ||
10 | ๐ฑ๐ฆ Laos | 2.85 | ||
11 | ๐น๐ผ Taiwan | 3.2 | ||
12 | ๐จ๐พ Cyprus | 3.35 | ||
13 | ๐ฉ๐ฐ Denmark | 3.35 | ||
14 | ๐ฆ๐ฑ Albania | 3.35 | ||
15 | ๐ง๐ฆ Bosnia | 3.35 | n=1,914 |
โฐ How long do nomads stay in one city? |
||||
Duration | % | |||
< 7 days |
46%
|
|||
7 - 30 days |
33%
|
|||
30 - 90 days |
14%
|
|||
90+ days |
6%
|
|||
Average | 65 days (2 months) | |||
Median | 7 days | n=298,089 |
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 | 225 days (7 months) | n=298,089 |
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 | 34% | +236% | |
2 | ๐ธ Web Dev | 28% | +246% | |
3 | ๐ Startup Founder | 27% | +129% | |
4 | ๐ Marketing | 15% | = | |
5 | ๐ SaaS | 13% | +187% | |
6 | ๐ฉโ๐จ Creative | 12% | -17% | |
7 | ๐จ UI/UX Design | 12% | +41% | |
8 | ๐ค Product Manager | 11% | +74% | |
9 | ๐ฐ Crypto | 11% | +239% | |
10 | ๐ฑ Mobile Dev | 11% | +335% | |
11 | ๐ Data | 11% | +104% | |
12 | ๐ฐ Finance | 10% | +121% | |
13 | ๐ Ecommerce | 9% | +96% | |
14 | ๐ค Sales | 7% | +83% | |
15 | ๐จโ๐ซ Education | 6% | -13% | n=17,692 |
๐ฑโโ๏ธ Nomad women work as |
||||
# | Work | % | vs. men | |
1 | ๐ Marketing | 15% | +0% | |
2 | ๐ฉโ๐จ Creative | 15% | +21% | |
3 | ๐ Startup Founder | 12% | -56% | |
4 | ๐ป Software Dev | 10% | -70% | |
5 | ๐จ UI/UX Design | 8% | -29% | |
6 | ๐ธ Web Dev | 8% | -71% | |
7 | ๐ Blogging | 8% | +24% | |
8 | ๐ค Community | 7% | +25% | |
9 | ๐จโ๐ซ Education | 7% | +15% | |
10 | ๐ Coach | 7% | +21% | |
11 | ๐ค Product Manager | 6% | -42% | |
12 | ๐ Data | 5% | -51% | |
13 | ๐ SaaS | 5% | -65% | |
14 | ๐ Ecommerce | 4% | -49% | |
15 | ๐ฐ Finance | 4% | -55% | n=5,395 |
๐จ Nomad men vs. women |
||||
# | Tag | vs. women | ||
1 | ๐พ Game Dev | +362% | ||
2 | ๐ฑ Mobile Dev | +335% | ||
3 | ๐ Dev Ops | +273% | ||
4 | ๐ก Sysadmin | +267% | ||
5 | ๐ธ Web Dev | +246% | ||
6 | ๐ฐ Crypto | +239% | ||
7 | ๐ป Software Dev | +236% | ||
8 | ๐ SaaS | +187% | ||
9 | ๐ VR Dev | +180% | ||
10 | ๐ Sports | +146% | ||
11 | ๐บ Geo | +140% | ||
12 | ๐ Startup Founder | +129% | ||
13 | ๐ฐ Finance | +121% | ||
14 | ๐ Data | +104% | ||
15 | ๐ถ Adult | +103% | n=22,048 |
๐ฑโโ๏ธ Nomad women vs. men |
||||
# | Tag | vs. men | ||
1 | ๐งโ๐ผ Human resources | +86% | ||
2 | ๐ง Psychologist | +69% | ||
3 | ๐ฐ Journalism | +48% | ||
4 | ๐จโโ๏ธ Medical | +32% | ||
5 | ๐ Support | +26% | ||
6 | ๐ค Community | +25% | ||
7 | ๐ Blogging | +24% | ||
8 | ๐ฉโ๐จ Creative | +21% | ||
9 | ๐ Coach | +21% | ||
10 | ๐ Hospitality | +19% | ||
11 | ๐ธ Model | +17% | ||
12 | ๐จโ๐ซ Education | +15% | ||
13 | ๐ฉโ๐ผ Law | +14% | ||
14 | ๐ Recruitment | +13% | n=22,048 |
โ๏ธ Coffee
๐ Optimist
๐ฌ๐ง Speaks English
โฐ Outdoors
๐ COVID vaccinated
๐ฅพ Hiking
๐จโ Nomad men |
||||
# | Tag | % | vs. ๐ฑโโ๏ธ | |
1 | โ๏ธ Coffee | 39% | +29% | |
2 | ๐ Optimist | 31% | +31% | |
3 | ๐ฌ๐ง Speaks English | 29% | +20% | |
4 | ๐ COVID vaccinated | 27% | +18% | |
5 | โฐ Outdoors | 27% | +9% | |
6 | ๐ฅพ Hiking | 26% | +17% | |
7 | ๐ถ Dogs | 26% | +11% | |
8 | ๐ช Fitness | 25% | +49% | |
9 | ๐บ Beer | 25% | +125% | |
10 | โ๏ธ Waking up early | 25% | +27% | |
11 | ๐ Staying up late | 25% | +55% | |
12 | ๐ง Open-minded | 24% | +22% | |
13 | ๐ Reading | 24% | +13% | |
14 | ๐ท Wine | 23% | +2% | |
15 | ๐ Single | 22% | +35% | n=17,692 |
๐ฑโโ๏ธ Nomad women |
||||
# | Tag | % | vs. ๐จโ | |
1 | โ๏ธ Coffee | 30% | -22% | |
2 | โฐ Outdoors | 25% | -8% | |
3 | ๐ฌ๐ง Speaks English | 24% | -17% | |
4 | ๐ถ Dogs | 23% | -10% | |
5 | ๐ COVID vaccinated | 23% | -16% | |
6 | ๐ Optimist | 23% | -24% | |
7 | ๐ท Wine | 23% | -2% | |
8 | ๐ฅพ Hiking | 22% | -15% | |
9 | ๐ Reading | 21% | -12% | |
10 | ๐ต Tea | 21% | -1% | |
11 | โ๏ธ Waking up early | 20% | -21% | |
12 | ๐ง Open-minded | 20% | -18% | |
13 | ๐คธโโ๏ธ Yoga | 19% | +69% | |
14 | โฑ Beach | 18% | +4% | |
15 | ๐ธ Cocktails | 17% | -8% | n=5,395 |
๐จ Nomad men vs. women |
||||
# | Tag | vs. ๐ฑโโ๏ธ | ||
1 | ๐ง Have a beard | +1,099% | ||
2 | ๐จ No beard | +348% | ||
3 | โฝ๏ธ Football | +338% | ||
4 | ๐ช Roost Stand | +324% | ||
5 | ๐งโ Short hair | +243% | ||
6 | ๐ Race sports | +238% | ||
7 | ๐ Basketball | +225% | ||
8 | ๐ Motorcycling | +204% | ||
9 | ๐ Ice hockey | +200% | ||
10 | ๐ช Dropout | +200% | ||
11 | ๐ง Hardstyle music | +199% | ||
12 | ๐ด Conservative politics | +195% | ||
13 | ๐ Table tennis | +192% | ||
14 | โพ๏ธ Baseball | +189% | ||
15 | ๐พ Gaming | +182% | n=22,048 |
๐ฑโโ๏ธ Nomad women vs. men |
||||
# | Tag | vs. ๐จ | ||
1 | ๐ Makeup | +2,480% | ||
2 | ๐ฑโโ๏ธ Long hair | +250% | ||
3 | โจ Believe in astrology | +241% | ||
4 | ๐ Dress up | +233% | ||
5 | โจ Astrology | +221% | ||
6 | ๐ช Feminism | +185% | ||
7 | ๐จ Drawing | +100% | ||
8 | ๐ Dancing | +85% | ||
9 | ๐ฆพ Disabled | +84% | ||
10 | ๐ฅ Red hair | +76% | ||
11 | ๐ Shopping | +69% | ||
12 | ๐คธโโ๏ธ Yoga | +69% | ||
13 | โ๐ฟ Black | +68% | ||
14 | ๐ป Gardening | +67% | ||
15 | ๐ฐ๐ท Speaks Korean | +64% | n=22,048 |
๐ Nomads by vaccination |
||||
Vaccinated | % | |||
๐ COVID vaccinated |
95%
|
|||
๐ Not COVID vaccinated |
5%
|
n=6,639 |
โค๏ธ Nomads by family |
||||
Relationship | % | |||
โค๏ธ Close to parents |
80%
|
|||
๐ Not close to parents |
20%
|
n=1,607 |
๐ถ Nomads by childhood |
||||
Childhood | % | |||
๐ Happy childhood |
88%
|
|||
๐ Unhappy childhood |
12%
|
n=1,758 |
๐ก Homeownership amongst nomads |
||||
Homeownership | % | |||
๐ก Homeowner |
52%
|
|||
๐ก Not a homeowner |
48%
|
n=1,898 |
Attractiveness is based on the proportion of people liking or disliking a person based on their photo on Nomad List's dating app. That does NOT mean people like or dislike specific traits. It's that people who are rated as attractive are more likely to have selected these traits on their profile. TL;DR hot people have specific traits, but those specific traits don't necessarily make you hot (you could always try though).
๐ Table tennis
๐ My parents separated
๐ Volleyball
๐ In a relationship
๐ณ๏ธโ๐ LGBT
๐ Running
๐จโ Attractive men's traits |
||||
# | Tag | Diff | ||
1 | ๐ In a relationship | +146% | ||
2 | ๐ก Homeowner | +94% | ||
3 | ๐ก Not a homeowner | +89% | ||
4 | ๐งโ Short hair | +77% | ||
5 | ๐ Free diving | +74% | ||
6 | ๐ Basketball | +72% | ||
7 | ๐ฌ Twitter | +70% | ||
8 | ๐ง Hiphop music | +68% | ||
9 | ๐ถ Parent | +66% | ||
10 | ๐ Rugby | +61% | ||
11 | ๐ Volleyball | +60% | ||
12 | โค๏ธ Happy childhood | +58% | ||
13 | ๐ Not COVID vaccinated | +57% | ||
14 | ๐ง Dubstep music | +56% | ||
15 | โค๏ธ My parents are together | +55% | ||
16 | ๐ง Pessimist | +55% | ||
17 | ๐ง Have a beard | +54% | ||
18 | ๐ iPhone | +53% | ||
19 | ๐ง House music | +53% | ||
20 | ๐ Ice hockey | +52% | ||
21 | ๐ฐ Pop music | +52% | ||
22 | ๐ฌ LINE | +50% | ||
23 | ๐ Massage | +49% | ||
24 | ๐ช Dropout | +49% | ||
25 | ๐ง Drum & Bass music | +48% | ||
26 | ๐ Table tennis | +48% | ||
27 | โค๏ธ Close to my parents | +47% | ||
28 | โฌ๏ธ Has tattoos | +45% | ||
29 | ๐ Pescetarian | +43% | ||
30 | ๐ธ Metal music | +42% | n=22,048 |
๐ฑโโ๏ธ Attractive women's traits |
||||
# | Tag | Diff | ||
1 | ๐ Table tennis | +342% | ||
2 | ๐ My parents separated | +329% | ||
3 | ๐ Volleyball | +302% | ||
4 | ๐ณ๏ธโ๐ LGBT | +284% | ||
5 | ๐ Shopping | +242% | ||
6 | ๐ง Only child | +237% | ||
7 | ๐ฝ Libertarian politics | +220% | ||
8 | ๐ Running | +209% | ||
9 | ๐จโ๐ค Partying | +188% | ||
10 | ๐ Makeup | +186% | ||
11 | โท Skiing | +169% | ||
12 | ๐งผ Clean freak | +169% | ||
13 | ๐ In a relationship | +169% | ||
14 | ๐ฌ Social smoker | +164% | ||
15 | ๐ Film making | +159% | ||
16 | ๐ Surfing | +154% | ||
17 | ๐ Dress up | +150% | ||
18 | ๐ Vanlife | +148% | ||
19 | ๐ถ Wants kids | +148% | ||
20 | ๐ง Hiphop music | +140% | ||
21 | โฐ Climbing | +135% | ||
22 | ๐ช Fitness | +134% | ||
23 | ๐ด Cycling | +133% | ||
24 | ๐พ Drinking alcohol | +128% | ||
25 | ๐ Motorcycling | +127% | ||
26 | ๐พ Gaming | +120% | ||
27 | ๐พ Tennis | +118% | ||
28 | ๐ง Techno music | +118% | ||
29 | ๐บ Beer | +118% | ||
30 | ๐ Massage | +118% | n=22,048 |
Attractiveness is based on the proportion of people liking or disliking a person based on their photo on Nomad List's dating app. That does NOT mean people like or dislike specific traits. It's that people who are rated as 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 Makeup
๐ด Conservative politics
๐ฌ Instagram
๐ณ Bowling
๐ช Nexstand
โจ Believe in astrology
๐จโ Unattractive men's traits |
||||
# | Tag | Diff | ||
1 | ๐ Makeup | -558% | ||
2 | ๐ณ Bowling | -286% | ||
3 | ๐ช Nexstand | -189% | ||
4 | ๐ Urbex | -133% | ||
5 | ๐ฑ Pool | -116% | ||
6 | ๐ Single | -81% | ||
7 | ๐ช Skydiving | -78% | ||
8 | โจ Believe in astrology | -62% | ||
9 | ๐ Buddhist | -58% | ||
10 | ๐ฌ Instagram | -51% | ||
11 | ๐ Kink | -49% | ||
12 | ๐ช Feminism | -46% | ||
13 | ๐ถโ๐ซ๏ธ Hang gliding | -45% | ||
14 | ๐ Unhappy childhood | -39% | ||
15 | โ๏ธ Private pilot | -39% | ||
16 | ๐ง Trance music | -38% | ||
17 | ๐ช Paragliding | -36% | ||
18 | ๐ณ๏ธโ๐ Progressive politics | -35% | ||
19 | ๐ Sex positive | -35% | ||
20 | ๐ Paleo | -34% | ||
21 | ๐ฉ Samoyeds | -34% | ||
22 | ๐ป Gardening | -34% | ||
23 | ๐ Cricket | -32% | ||
24 | ๐ Third Culture Kid | -31% | ||
25 | ๐ Film making | -29% | ||
26 | ๐ค Singing | -25% | ||
27 | ๐ฌ Discord | -23% | ||
28 | ๐ฅ Hard boiled eggs | -21% | ||
29 | โพ๏ธ Baseball | -20% | ||
30 | ๐บ Breakdance | -18% | n=22,048 |
๐ฑโโ๏ธ Unattractive women's traits |
||||
# | Tag | Diff | ||
1 | ๐ฅ Messy | -1,556% | ||
2 | ๐ฌ Daily smoker | -690% | ||
3 | ๐ด Conservative politics | -384% | ||
4 | ๐ฌ Instagram | -282% | ||
5 | ๐ช Roost Stand | -155% | ||
6 | ๐ Country music | -111% | ||
7 | โจ Believe in astrology | -99% | ||
8 | ๐ Kink | -76% | ||
9 | ๐ธ Badminton | -71% | ||
10 | โค๏ธ Happy childhood | -34% | ||
11 | โค๏ธ My parents are together | -13% | ||
12 | ๐ Sustainability | -9% | ||
13 | ๐ช Folk music | -8% | ||
14 | ๐ถ Parent | -6% | ||
15 | ๐ฅ No alcohol | -4% | ||
16 | ๐ก Not a homeowner | -3% | ||
17 | ๐ฌ Facebook | -2% | ||
18 | ๐ Carnivore | -2% | ||
19 | ๐ Kitesurfing | -2% | ||
20 | ๐ Paleo | -1% | n=22,048 |
๐จโ Where attractive men travel to |
||||
# | City | Attractiveness | ||
1 | ๐ฎ๐ฉ Uluwatu | 5 | ||
2 | ๐จ๐ท Tamarindo | 4.82 | ||
3 | ๐ฒ๐พ Langkawi | 4.82 | ||
4 | ๐ฆ๐บ Brisbane | 4.82 | ||
5 | ๐ต๐น Ericeira | 4.82 | ||
6 | ๐ฎ๐ธ Reykjavik | 4.69 | ||
7 | ๐ฉ๐ด Punta Cana | 4.68 | ||
8 | ๐บ๐ธ Boston | 4.67 | ||
9 | ๐ฉ๐ช Frankfurt | 4.64 | ||
10 | ๐น๐ญ Krabi | 4.61 | ||
11 | ๐ต๐น Faro | 4.6 | ||
12 | ๐ฆ๐บ Melbourne | 4.59 | ||
13 | ๐ฟ๐ฆ Johannesburg | 4.56 | ||
14 | ๐ฐ๐ท Busan | 4.52 | ||
15 | ๐ฑ๐ฆ Vientiane | 4.52 | ||
16 | ๐ฌ๐ท Chania | 4.51 | ||
17 | ๐ฑ๐ฆ Luang Prabang | 4.51 | ||
18 | ๐ฒ๐ฝ Cabo San Lucas | 4.5 | ||
19 | ๐ฒ๐ฝ Sayulita | 4.5 | ||
20 | ๐ช๐ธ Ibiza | 4.49 | ||
21 | ๐จ๐ฆ Montreal | 4.44 | ||
22 | ๐ฌ๐ง Manchester | 4.43 | ||
23 | ๐ฌ๐ง Glasgow | 4.43 | ||
24 | ๐บ๐ธ Portland | 4.43 | ||
25 | ๐บ๐ธ Miami | 4.42 | ||
26 | ๐บ๐ธ Orlando | 4.42 | ||
27 | ๐ฆ๐ท Mendoza | 4.41 | ||
28 | ๐ฌ๐ท Santorini | 4.41 | ||
29 | ๐ณ๐ฟ Wellington | 4.41 | ||
30 | ๐ซ๐ท Nice | 4.41 | Based on attractiveness of visitors n=306,385 |
๐ฑโโ๏ธ Where attractive women travel to |
||||
# | City | Attractiveness | ||
1 | ๐น๐ญ Ko Phi Phi | 5 | ||
2 | ๐ญ๐ท Zadar | 4.95 | ||
3 | ๐น๐ญ Ko Samui | 4.91 | ||
4 | ๐ฒ๐ช Budva | 4.91 | ||
5 | ๐ฐ๐ท Busan | 4.9 | ||
6 | ๐ต๐ฑ Warsaw | 4.89 | ||
7 | ๐ฎ๐น Genoa | 4.85 | ||
8 | ๐บ๐ฆ Kyiv | 4.84 | ||
9 | ๐จ๐ฑ Valparaรญso | 4.81 | ||
10 | ๐ฎ๐น Amalfi | 4.8 | ||
11 | ๐ฒ๐ช Kotor | 4.72 | ||
12 | ๐ต๐ฑ Krakรณw | 4.72 | ||
13 | ๐ฎ๐ฉ Uluwatu | 4.72 | ||
14 | ๐ญ๐ท Dubrovnik | 4.72 | ||
15 | ๐ฆ๐น Vienna | 4.71 | ||
16 | ๐ธ๐ฐ Bratislava | 4.71 | ||
17 | ๐ช๐ธ Fuerteventura | 4.68 | ||
18 | ๐ฎ๐ฉ Jakarta | 4.68 | ||
19 | ๐ฉ๐ด Punta Cana | 4.67 | ||
20 | ๐ฒ๐น Sliema | 4.67 | ||
21 | ๐บ๐ธ Orlando | 4.66 | ||
22 | ๐จ๐พ Larnaca | 4.64 | ||
23 | ๐ญ๐ท Split | 4.63 | ||
24 | ๐น๐ญ Pai | 4.6 | ||
25 | ๐ฒ๐ฆ Taghazout | 4.6 | ||
26 | ๐ช๐ธ Ibiza | 4.59 | ||
27 | ๐ฆ๐น Salzburg | 4.59 | ||
28 | ๐ธ๐ฎ Ljubljana | 4.59 | ||
29 | ๐น๐ญ Ko Tao | 4.53 | ||
30 | ๐ฎ๐น Milan | 4.52 | Based on attractiveness of visitors n=306,385 |
๐จโ Where unattractive men travel to |
||||
# | City | Attractiveness | ||
1 | ๐น๐ญ Pattaya | 3.24 | ||
2 | ๐ฎ๐ณ Goa | 3.35 | ||
3 | ๐ณ๐ต Kathmandu | 3.53 | ||
4 | ๐ฎ๐ณ Mumbai | 3.55 | ||
5 | ๐ง๐พ Minsk | 3.71 | ||
6 | ๐ช๐ฌ Cairo | 3.81 | ||
7 | ๐ฆ๐ช Abu Dhabi | 3.86 | ||
8 | ๐ฒ๐ฝ Guadalajara | 3.86 | ||
9 | ๐ถ๐ฆ Doha | 3.88 | ||
10 | ๐ช๐ธ Bilbao | 3.89 | ||
11 | ๐น๐ผ Taipei | 3.89 | ||
12 | ๐จ๐ญ Geneva | 3.9 | ||
13 | ๐ต๐พ Asuncion | 3.9 | ||
14 | ๐ฌ๐ท Thessaloniki | 3.9 | ||
15 | ๐จ๐บ Havana | 3.9 | ||
16 | ๐น๐ท Antalya | 3.92 | ||
17 | ๐ฆ๐น Salzburg | 3.92 | ||
18 | ๐ต๐ฑ Wrocลaw | 3.93 | ||
19 | ๐ฏ๐ต Osaka | 3.95 | ||
20 | ๐ฆ๐ช Dubai | 3.95 | ||
21 | ๐ฌ๐ช Batumi | 3.95 | ||
22 | ๐บ๐ธ Las Vegas | 3.95 | ||
23 | ๐ท๐บ Moscow | 3.95 | ||
24 | ๐ง๐ฌ Bansko | 3.95 | ||
25 | ๐ต๐ฆ Panama City | 3.95 | ||
26 | ๐ฐ๐ช Nairobi | 3.96 | ||
27 | ๐จ๐พ Larnaca | 3.96 | ||
28 | ๐ฌ๐ช Tbilisi | 3.96 | ||
29 | ๐ฒ๐ฐ Skopje | 3.97 | ||
30 | ๐น๐ท Istanbul | 3.97 | Based on unattractiveness of visitors n=306,385 |
๐ฑโโ๏ธ Where unattractive women travel to |
||||
# | City | Attractiveness | ||
1 | ๐ช๐จ Cuenca | 2.79 | ||
2 | ๐ช๐จ Quito | 3.19 | ||
3 | ๐ฐ๐ช Nairobi | 3.2 | ||
4 | ๐ต๐ท San Juan | 3.33 | ||
5 | ๐ฆ๐บ Perth | 3.35 | ||
6 | ๐ฒ๐ฝ Guadalajara | 3.4 | ||
7 | ๐บ๐ธ Atlanta | 3.44 | ||
8 | ๐บ๐ธ New Orleans | 3.48 | ||
9 | ๐ณ๐ฎ San Juan del Sur | 3.49 | ||
10 | ๐จ๐ณ Guangzhou | 3.49 | ||
11 | ๐ง๐ช Antwerp | 3.5 | ||
12 | ๐บ๐ธ Washington | 3.51 | ||
13 | ๐ฒ๐ฝ Guanajuato | 3.54 | ||
14 | ๐ฌ๐ง Liverpool | 3.55 | ||
15 | ๐จ๐ด Bogota | 3.56 | ||
16 | ๐ฒ๐ฝ San Miguel de Allende | 3.57 | ||
17 | ๐ฏ๐ด Amman | 3.6 | ||
18 | ๐ฒ๐ฝ Merida | 3.61 | ||
19 | ๐ฌ๐ง Manchester | 3.64 | ||
20 | ๐ฎ๐ณ Mumbai | 3.67 | ||
21 | ๐ฒ๐ฝ San Cristรณbal de las Casas | 3.7 | ||
22 | ๐ฒ๐ฝ La Paz | 3.71 | ||
23 | ๐ง๐ฆ Sarajevo | 3.73 | ||
24 | ๐จ๐ณ Beijing | 3.74 | ||
25 | ๐ต๐ฆ Panama City | 3.75 | ||
26 | ๐ฒ๐ฝ Puebla | 3.76 | ||
27 | ๐ฌ๐น Panajachel | 3.77 | ||
28 | ๐จ๐ด Santa Marta | 3.77 | ||
29 | ๐ฒ๐ฝ Cozumel | 3.78 | ||
30 | ๐ณ๐ฟ Wellington | 3.8 | Based on unattractiveness of visitors n=306,385 |
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