Satisfaction with Life Index
{{short description|Index that attempts to show life satisfaction in different nations}}
{{update|date=May 2018}}
{{Use dmy dates|date=April 2021}}
[[File:World happiness 2006.png|thumb|300px|right|World map indicating world happiness (2006)
{{legend|#0000FF|Good situation}}
{{legend|#00C8C8|Satisfactory situation}}
{{legend|#C8C800|Noticeable problems}}
{{legend|#FF8000|Difficult situation}}
{{legend|#FF0000|Very serious situation}}
{{legend|#AAAAAA|Unclassified / no data}}
]]
The Satisfaction with Life Index was created in 2007 by Adrian G. White, an analytic social psychologist at the University of Leicester, using data from a metastudy.{{cite journal |last1=White |first1=Adrian |year=2007 |title=A global projection of subjective well-being: A challenge to positive psychology |journal=Psychtalk |volume=56 |pages=17–20}} It is an attempt to show life satisfaction in different nations.
In this calculation, subjective well-being correlates most strongly with health (.7), wealth (.6), and access to basic education (.6).University of Leicester (2006, 14 November). "[https://www.sciencedaily.com/releases/2006/11/061113093726.htm Psychologist Produces The First-ever 'World Map Of Happiness'.]" ScienceDaily. Accessed 23 July 2011.{{cite news |work=BBC News |date=28 July 2006 |title=Denmark 'happiest place on earth' |url=http://news.bbc.co.uk/2/hi/health/5224306.stm |access-date=25 March 2014}}
This is an example of directly measuring happiness—asking people how happy they are—as an alternative to traditional measures of policy success such as GDP or GNP. Some studies suggest that happiness can be measured effectively.{{cite magazine |last1=Pink |first1=Daniel H. |date=December 2004 |title=The True Measure of Success |magazine=Wired |volume=12 |issue=12 |url=https://www.wired.com/wired/archive/12.12/start.html?pg=2 |access-date=25 March 2014}}Brittan, Samuel (22 November 2001) "[http://www.samuelbrittan.co.uk/spee22_p.html Happiness is not enough] {{webarchive|url=https://web.archive.org/web/20061229084942/http://www.samuelbrittan.co.uk/spee22_p.html |date=29 December 2006 }}" Templeton Lecture Inst. of Economic Affairs. Accessed 23 July 2011.
This Index, however, is not solely based on directly asking "how people feel", but also on its social and economic development.{{Citation needed|reason=There is no reference given for this claim, and the other references in the lead seem to suggest that this may be incorrect, i.e. that the other factors were not actually used to create the index, but just to perform subsequent analysis |date=March 2019}}
The Happy Planet Index was used along with data from UNESCO on access to schooling, from the WHO on life expectancy, and from the CIA on GDP per capita to perform a new analysis to come to a unique and novel set of results.{{cite press release |title=University of Leicester produces the first-ever 'world map of happiness' |publisher=University of Leicester |date=27 July 2006 |url=http://www.eurekalert.org/pub_releases/2006-07/uol-uol072706.php |access-date=25 March 2014}} Specifically, the extent of correlation between measures of poverty, health and education, and the variable of happiness.{{citation needed|date=May 2020}}
Satisfaction Index
The subjective well-being index represents the overall satisfaction level as one number.
Analysed data to create the index comes from UNESCO, the CIA, the New Economics Foundation, the WHO, the Veenhoven Database, the Latinbarometer, the Afrobarometer, and the UNHDR. These sources are analyzed to create a global projection of subjective well-being: the first world map of happiness.
Whilst collecting data on subjective well-being is not an exact science, the measures used are very reliable in predicting health and welfare outcomes.
International rankings 2007-2017
class="wikitable" |
Rank
! Country ! SWL ! Rank ! Country ! SWL |
---|
1
| {{flag|Finland}} | 283.33 | | 90 | {{flag|Japan}} | 206.67 |
2
| {{flag|Switzerland}} | 273.33 | 91 | {{flag|Portugal}} | 206.67 |
3
| {{flag|Austria}} | 260 | 92 | {{flag|Yemen}} | 203.33 |
4
| {{flag|Iceland}} | 260 | 93 | {{flag|Sri Lanka}} | 203.33 |
5
| {{flag|Bhutan}} | 266.67 | 94 | {{flag|Tajikistan}} | 203.33 |
6
| {{flag|Denmark}} | 256.67 | 95 | {{flag|Vietnam}} | 203.33 |
7
| {{flag|United States}} | 246.67 | 96 | {{flag|Iran}} | 200 |
8
| {{flag|The Bahamas}} | 253.33 | 97 | {{flag|Comoros}} | 196.67 |
9
| {{flag|Croatia}} | 253.33 | 98 | {{flag|Brunei}} | 196.67 |
10
| {{flag|Canada}} | 253.33 | 99 | {{flag|Ukraine}} | 196.67 |
11
| {{flag|Ireland}} | 253.33 | 100 | {{flag|Cape Verde}} | 193.33 |
12
| {{flag|Luxembourg}} | 253.33 | 101 | {{flag|Turkmenistan}} | 193.33 |
13
| {{flag|Costa Rica}} | 250 | 102 | {{flag|North Korea}} | 193.33 |
14
| {{flag|Malta}} | 250 | 103 | {{flag|Madagascar}} | 193.33 |
15
| {{flag|Netherlands}} | 250 | 104 | {{flag|Bangladesh}} | 190 |
16
| {{flag|Jamaica}} | 246.67 | 105 | {{flag|Republic of the Congo}} | 190 |
17
| {{flag|Malaysia}} | 246.67 | 106 | {{flag|The Gambia}} | 190 |
18
| {{flag|New Zealand}} | 246.67 | 107 | {{flag|Hungary}} | 190 |
19
| {{flag|Sweden}} | 246.67 | 108 | {{flag|Libya}} | 190 |
20
| {{flag|Seychelles}} | 246.67 | 109 | {{flag|Zambia}} | 190 |
21
| {{flag|Saint Vincent and the Grenadines}} | 246.67 | 110 | {{flag|Myanmar}} | 186.67 |
22
| {{flag|United Arab Emirates}} | 246.67 | 111 | {{flag|Guyana}} | 186.67 |
23
| {{flag|Norway}} | 246.67 | 112 | {{flag|Burundi}} | 186.67 |
24
| {{flag|Fiji}} | 246.67 | 113 | {{flag|Lebanon}} | 186.67 |
25
| {{flag|Morocco}} | 246.67 | 114 | {{flag|Suriname}} | 186.67 |
26
| {{flag|Australia}} | 243.33 | 115 | {{flag|Bolivia}} | 186.67 |
27
| {{flag|Barbados}} | 243.33 | 116 | {{flag|Mauritania}} | 186.67 |
28
| {{flag|Belgium}} | 243.33 | 117 | {{flag|France}} | 183.33 |
29
| {{flag|Dominican Republic}} | 243.33 | 118 | {{flag|Haiti}} | 183.33 |
30
| {{flag|Qatar}} | 243.33 | 119 | {{flag|India}} | 183.33 |
31
| {{flag|Bahrain}} | 243.33 | 120 | {{flag|Niger}} | 183.33 |
32
| {{flag|Nigeria}} | 243.33 | 121 | {{flag|Rwanda}} | 183.33 |
33
| {{flag|Jordan}} | 240 | 122 | {{flag|Togo}} | 180 |
34
| {{flag|Colombia}} | 240 | 123 | {{flag|Zimbabwe}} | 180 |
35
| {{flag|Germany}} | 240 | 124 | {{flag|Guinea-Bissau}} | 180 |
36
| {{flag|Brazil}} | 240 | 125 | {{flag|Pakistan}} | 180 |
37
| {{flag|Costa Rica}} | 240 | 126 | {{flag|Laos}} | 180 |
38
| {{flag|Kuwait}} | 240 | 127 | {{flag|Mozambique}} | 180 |
39
| {{flag|Panama}} | 240 | 128 | {{flag|Palestine}} | 180 |
40
| {{flag|Saint Vincent and the Grenadines}} | 240 | 129 | {{flag|Moldova}} | 180 |
41
| {{flag|United Kingdom}} | 236.67 | 130 | {{flag|Indonesia}} | 176.67 |
42
| {{flag|Dominican Republic}} | 233.33 | 131 | {{flag|Burkina Faso}} | 176.67 |
43
| {{flag|Guatemala}} | 233.33 | 132 | {{flag|Mauritania}} | 176.67 |
44
| {{flag|Jamaica}} | 233.33 | 133 | {{flag|Armenia}} | 176.67 |
45
| {{flag|Israel}} | 233.33 | 134 | {{flag|Algeria}} | 173.33 |
46
| {{flag|Spain}} | 233.33 | 135 | {{flag|Equatorial Guinea}} | 173.33 |
47
| {{flag|Saint Lucia}} | 233.33 | 136 | {{flag|Belarus}} | 173.33 |
48
| {{flag|Belize}} | 230 | 137 | {{flag|Bosnia and Herzegovina}} | 170 |
49
| {{flag|Cyprus}} | 230 | 138 | {{flag|Democratic Republic of Congo}} | 170 |
50
| {{flag|Italy}} | 230 | 139 | {{flag|Tunisia}} | 170 |
51
| {{flag|Mexico}} | 230 | 140 | {{flag|Sierra Leone}} | 170 |
52
| {{flag|Samoa}} | 230 | 141 | {{flag|Syria}} | 170 |
53
| {{flag|Singapore}} | 230 | 142 | {{flag|Iraq}} | 170 |
54
| {{flag|Solomon Islands}} | 230 | 143 | {{flag|Ivory Coast}} | 166.67 |
55
| {{flag|Trinidad and Tobago}} | 230 | 144 | {{flag|Russia}} | 163.33 |
56
| {{flag|Argentina}} | 226.67 | 145 | {{flag|Central African Republic}} | 163.33 |
57
| {{flag|Fiji}} | 223.33 | 146 | {{flag|North Macedonia}} | 163.33 |
58
| {{flag|Mongolia}} | 223.33 | 147 | {{flag|Mali}} | 163.33 |
59
| {{flag|South Korea}} | 223.33 | 148 | {{flag|Namibia}} | 163.33 |
62
|{{flag|France}} | 240 |151 |{{flag|Chad}} | 160 |
60
| {{flag|São Tomé and Príncipe}} | 223.33 | 149 | {{flag|Angola}} | 160 |
61
| {{flag|Nicaragua}} | 220 | 150 | {{flag|Djibouti}} | 160 |
63
| {{flag|Hong Kong}} | 220 | 152 | {{flag|Sudan}} | 156.67 |
64
| {{flag|Papua New Guinea}} | 220 | 153 | {{flag|Somalia}} | 156.67 |
65
| {{flag|Kyrgyzstan}} | 220 | 154 | {{flag|Lithuania}} | 156.67 |
66
| {{flag|Maldives}} | 220 | 155 | {{flag|Slovenia}} | 156.67 |
67
| {{flag|Cameroon}} | 220 | 156 | {{flag|Tanzania}} | 156.67 |
68
| {{flag|Taiwan}} | 220 | 157 | {{flag|Serbia}} | 153.33 |
69
| {{flag|East Timor}} | 220 | 158 | {{flag|Malawi}} | 153.33 |
70
| {{flag|Tonga}} | 220 | 159 | {{flag|Central African Republic}} | 150 |
71
| {{flag|Chile}} | 216.67 | 160 | {{flag|Ghana}} | 150 |
72
| {{flag|Grenada}} | 216.67 | 161 | {{flag|Cameroon}} | 150 |
73
| {{flag|Mauritius}} | 216.67 | 162 | {{flag|Eritrea}} | 146.67 |
74
| {{flag|Thailand}} | 216.67 | 163 | {{flag|Rwanda}} | 146.67 |
75
| {{flag|Paraguay}} | 216.67 | 164 | {{flag|Bulgaria}} | 143.33 |
76
| {{flag|Seychelles}} | 216.67 | 165 | {{flag|Swaziland}} | 143.33 |
77
| {{flag|Czech Republic}} | 213.33 | 166 | {{flag|Iran}} | 143.33 |
78
| {{flag|Philippines}} | 213.33 | 167 | {{flag|Kyrgyzstan}} | 143.33 |
79
| {{flag|Tunisia}} | 213.33 | 168 | {{flag|Swaziland}} | 140 |
80
| {{flag|Uzbekistan}} | 213.33 | 169 | {{flag|Georgia}} | 136.67 |
81
| {{flag|Brazil}} | 210 | 170 | {{flag|Belarus}} | 133.33 |
82
| {{flag|China}} | 210 | 171 | {{flag|Albania}} | 133.33 |
83
| {{flag|Cuba}} | 210 | 172 | {{flag|Armenia}} | 123.33 |
84
| {{flag|Greece}} | 210 | 173 | {{flag|South Sudan}} | 120 |
85
| {{flag|Nicaragua}} | 210 | 174 | {{flag|Latvia}} | 120 |
86
| {{flag|Papua New Guinea}} | 210 | 175 | {{flag|Uganda}} | 116.67 |
87
| {{flag|Uruguay}} | 210 | 176 | {{flag|Guinea}} | 110 |
88
| {{flag|Gabon}} | 206.67 | 177 | {{flag|Afghanistan}} | 110 |
89
| {{flag|Ghana}} | 206.67 | 178 | {{flag|Burundi}} | 100 |