Tweet
Period:
Area:
96 countries/ areas
Highlight:
1 United States17,093.0
2 China15,463.2
3 Germany9,953.3
4 Hong Kong, China9,471.5
5 United Kingdom9,308.6
6 Mexico8,275.2
7 Italy6,220.7
8 Poland5,060.0
9 France4,927.6
10 Russian Federation4,533.0
11 Canada3,784.6
12 Ukraine2,934.6
13 Republic of Korea2,871.4
14 Saudi Arabia2,719.6
15 India2,691.5
16 Hungary2,486.0
17 Romania2,306.6
18 Spain2,281.6
19 Netherlands2,204.5
20 Japan2,008.1
21 Switzerland1,979.7
22 Sweden1,906.1
23 United Arab Emirates1,890.6
24 Argentina1,535.2
25 Belgium1,419.1
26 Austria1,190.2
27 Indonesia1,168.9
28 Australia1,162.4
29 Singapore1,071.1
30 Kazakhstan1,070.7
31 Thailand1,044.6
32 Finland1,044.0
33 Turkiye965.1
34 Ireland935.0
35 Belarus922.1
36 Israel917.9
37 Denmark908.8
38 Norway889.0
39 Uzbekistan843.7
40 Greece784.8
41 Czech Republic734.6
42 Bulgaria700.7
43 Oman663.3
44 Slovenia604.9
45 Albania592.2
46 Algeria573.2
47 Azerbaijan556.8
48 Kyrgyzstan531.4
49 Slovakia 521.4
50 Lithuania488.1
51 Colombia447.9
52 Chile409.1
53 Georgia378.0
54 Croatia350.0
55 Peru327.5
55 Zimbabwe327.5
57 New Zealand322.5
58 Portugal310.0
59 Bahrain295.0
60 Tunisia278.1
61 Laos269.0
62 Luxembourg254.8
63 Latvia238.4
64 Uruguay219.9
65 Cambodia203.8
66 Morocco200.9
67 El Salvador189.9
68 Armenia186.8
69 Macao, China176.5
70 Eswatini172.1
71 Guatemala170.3
72 Estonia170.2
73 Cyprus157.8
74 Jordan153.7
75 Ecuador151.5
76 Sri Lanka144.1
77 Panama122.6
78 Paraguay119.2
79 Bolivia116.0
80 Costa Rica115.3
81 Nicaragua94.9
82 Malta77.4
83 Cuba65.0
84 Iceland61.1
85 Dominican Republic53.2
86 Mauritius32.0
87 Moldova31.1
88 Togo26.9
89 Fiji17.4
90 New Caledonia14.4
91 Sierra Leone12.2
92 Seychelles7.6
93 Bhutan7.2
94 Samoa6.9
95 French Polynesia6.3
96 Vanuatu3.6

No data for 142 countries.
Source
World Bank, World Development Indicators

Original source
World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.

 Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data85
Regression equation
Y = 0.000052 X +5.931
Correlation coefficient (r)0.165
Coefficient of determination (R2)0.027
GDP per capita (current US$)
No. of data92
Regression equation
Y = 2.104997 X +23995.940
Correlation coefficient (r)0.233
Coefficient of determination (R2)0.054
Life expectancy at birth - Both sexes (years)
No. of data96
Regression equation
Y = 0.000422 X +75.714
Correlation coefficient (r)0.212
Coefficient of determination (R2)0.045
Fertility rate, total (births per woman)
No. of data96
Regression equation
Y = -0.000065 X +1.974
Correlation coefficient (r)-0.281
Coefficient of determination (R2)0.079
Suicide, age-standardized (per 100 000 population)
No. of data92
Regression equation
Y = 0.000045 X +9.412
Correlation coefficient (r)0.022
Coefficient of determination (R2)0.000