Top SD <1,8 |
Middle range SD ± 2,5 |
Bottom SD >3 |
|||
Netherlands |
1,48 |
Indonesia |
2,34 |
Dominican Rep |
3,04 |
Pakistan |
1,62 |
Morocco |
2,42 |
Zimbabwe |
3,04 |
Switzerland |
1,76 |
Mexico |
2,48 |
Algeria |
3,18 |
Iceland |
1,77 |
India |
2,54 |
Egypt |
3,36 |
Malta |
1,80 |
China |
2,71 |
Tanzania |
3,58 |
nation1 |
Standard deviationSatisfaction with life 2, 3 |
Number of surveys |
Rank of 131 |
| Afghanistan4 | 2,20 |
1 |
32-35 |
| Albania | 2,50 |
1 |
83 |
| Algeria | 3,18 |
1 |
129 |
| Angola4 | 1,98 |
1 |
11-13 |
Argentina |
2,32 |
1 |
50 |
Armenia4 |
2,47 |
1 |
80-81 |
Australia |
2,02 |
21 |
17-18 |
Austria |
2,12 |
5 |
23 |
Azerbaijan4 |
2,25 |
1 |
39-40 |
Bangladesh |
2,42 |
1 |
67-69 |
Belarus |
2,46 |
5 |
79 |
Belgium |
2,29 |
2 |
46-47 |
| Benin4 | 2,28 |
1 |
43-45 |
Bolivia4 |
2,37 |
1 |
59-61 |
| Bosnia | 2,66 |
1 |
101-104 |
| Botswana4 | 2,52 |
1 |
84-86 |
Brazil |
2,33 |
1 |
51-53 |
Bulgaria |
2,77 |
3 |
111 |
| Burkina Faso | 2,42 |
1 |
67-69 |
| Burundi4 | 2,15 |
1 |
26 |
| Cambodia4 | 2,30 |
1 |
48 |
| Cameroon4 | 2,40 |
1 |
63-64 |
Canada |
2,06 |
1 |
19-20 |
Chile |
2,33 |
2 |
51-53 |
China |
2,71 |
2 |
107-108 |
Colombia |
2,16 |
1 |
27-28 |
| Costa Rica4 | 2,54 |
1 |
89-92 |
| Croatia | 2,59 |
1 |
95 |
| Cyprus | 2,20 |
2 |
32-35 |
Czechia |
2,17 |
3 |
29 |
Denmark |
2,02 |
4 |
17-18 |
Dominican Republic4 |
3,04 |
1 |
127-128 |
| Ecuador4 | 2,65 |
1 |
99-100 |
| Egypt | 3,36 |
2 |
130 |
| El Salvador | 2,60 |
1 |
96 |
| Estonia | 2,43 |
3 |
70-72 |
| Ethiopia | 2,23 |
1 |
36-37 |
Finland |
1,91 |
6 |
8-9 |
France |
2,19 |
5 |
31 |
Georgia4 |
2,45 |
1 |
75-78 |
Germany |
1,99 |
8 |
14 |
| Ghana | 2,92 |
1 |
123 |
Greece |
2,43 |
3 |
70-72 |
Guatemala4 |
2,52 |
2 |
84-86 |
| Haiti4 | 2,39 |
1 |
62 |
| Honduras4 | 2,87 |
2 |
120-121 |
| Hong Kong | 2,14 |
1 |
24-25 |
| Hungary | 2,71 |
4 |
107-108 |
| Iceland | 1,77 |
1 |
4 |
| India4 | 2,54 |
2 |
89-92 |
| Indonesia | 2,34 |
1 |
54-55 |
| Iran | 2,68 |
1 |
105 |
| Iraq | 2,69 |
2 |
106 |
Ireland |
2,01 |
3 |
15-16 |
| Israel | 2,41 |
2 |
65-66 |
| Italy | 2,14 |
3 |
24-25 |
| Jamaica4 | 2,43 |
1 |
70-72 |
| Japan | 2,10 |
2 |
22 |
| Jordan | 3,01 |
2 |
125 |
| Kazakhstan4 | 2,37 |
1 |
59-61 |
| Kenya4 | 2,31 |
1 |
49 |
| Kosovo4 | 2,45 |
1 |
75-78 |
| Kuwait4 | 2,28 |
2 |
43-45 |
| Kyrgezigstan | 2,86 |
1 |
118-119 |
| Laos4 | 1,85 |
1 |
6 |
| Latvia | 2,66 |
1 |
101-104 |
| Lebanon4 | 2,62 |
3 |
97 |
| Lithuania | 2,93 |
1 |
124 |
Luxembourg |
2,06 |
3 |
19-20 |
| Macedonia | 3,02 |
1 |
126 |
| Madagascar4 | 2,16 |
1 |
27-28 |
| Malawi4 | 2,54 |
1 |
89-92 |
| Malaysia | 2,25 |
1 |
39-40 |
| Mali | 2,88 |
1 |
122 |
| Malta | 1,80 |
1 |
5 |
| Mauretania4 | 2,44 |
1 |
73-74 |
| Mexico | 2,48 |
2 |
82 |
| Moldova | 2,54 |
1 |
89-92 |
| Montenegro | 2,66 |
1 |
101-104 |
| Morocco | 2,42 |
2 |
67-69 |
| Mozambique4 | 2,36 |
1 |
57-58 |
| Nepal4 | 2,23 |
1 |
36-37 |
Netherlands |
1,48 |
6 |
1 |
| New Zealand | 2,07 |
2 |
21 |
| Nicaragua4 | 2,86 |
1 |
118-119 |
| Niger4 | 2,26 |
1 |
41-42 |
| Nigeria | 2,58 |
1 |
93-94 |
| Norway | 2,26 |
3 |
41-42 |
| Pakistan | 1,62 |
1 |
2 |
| Palestina4 | 2,65 |
1 |
99-100 |
| Panama4 | 2,66 |
1 |
101-104 |
| Paraguay4 | 2,45 |
1 |
75-78 |
| Peru | 2,58 |
2 |
93-94 |
| Philippines | 2,82 |
1 |
116 |
Poland |
2,53 |
1 |
87-88 |
Portugal |
2,18 |
4 |
30 |
Romania |
2,87 |
4 |
120-121 |
| Russia | 2,78 |
2 |
112-114 |
| Rwanda | 2,34 |
1 |
54-55 |
| Saudi Arabia | 2,52 |
1 |
84-86 |
| Senegal4 | 2,20 |
2 |
32-35 |
| Serbia | 2,53 |
1 |
87-88 |
| Sierra Leone4 | 2,36 |
1 |
57-58 |
| Singapore | 1,91 |
1 |
8-9 |
| Slovakia | 2,47 |
3 |
80-81 |
| Slovenia | 2,28 |
2 |
43-45 |
| South-Africa | 2,84 |
3 |
117 |
| South-Korea | 2,37 |
3 |
59-61 |
| Spain | 1,90 |
6 |
7 |
| Sri Lanka4 | 2,35 |
1 |
56 |
| Sweden | 1,92 |
6 |
10 |
| Switzerland | 1,76 |
6 |
3 |
| Taiwan | 2,29 |
1 |
46-47 |
| Tajikistan4 | 2,24 |
1 |
38 |
| Tanzania | 3,58 |
1 |
131 |
| Thailand | 2,01 |
1 |
15-16 |
| Togo4 | 2,33 |
1 |
51-53 |
| Trinidad-Tabago | 2,40 |
1 |
63-64 |
| Turkey | 2,80 |
4 |
115 |
| Uganda | 2,74 |
1 |
109 |
| Ukraine | 2,76 |
2 |
110 |
| United Arab Emirates4 | 2,41 |
1 |
65-68 |
| United Kingdom (Britain) | 1,98 |
6 |
11-13 |
| United States of America (USA) | 1,98 |
1 |
11-13 |
| Uruguay4 | 2,64 |
1 |
98 |
| Uzbekistan4 | 2,45 |
2 |
75-78 |
| Venezuela | 2,78 |
1 |
112-114 |
| Vietnam | 2,20 |
2 |
32-35 |
| Yemen4 | 2,44 |
1 |
73-74 |
| Zambia | 2,78 |
1 |
112-114 |
| Zimbabwe | 3,04 |
1 |
127-128 |
Life-satisfaction is assessed by means of surveys in general population samples. See Rank Report 2009-1c
In this ranking the focus is not on the level of happiness in the country, but on inequality in happiness among
citizens. Inequality in happiness can be measured by the dispersion of responses to
survey-questions.
The degree of dispersion can be expressed statistically in the standard deviation and
surveys items rated on a 10 step numerical scale are particularly usefull for that
purpose. This method is explained in more detail in W. Kalmijn & R. Veenhoven, Measuring inequality in
happiness in nations, in search for proper statistics,Journal of Happiness Studies, 2005, 6:357-396. An application of this method is reported in Veenhoven, R. Return of
inequality in modern society? Test by dispersion of life satisfaction across time and nations, Journal of Happiness Studies, 2005, 6:457-487 .
The scores are based on responses to a question about satisfaction with life, the answers to which were rated on a numerical scale ranging from 'dissatisfied' to 'satisfied'. The questions differ slightly in wording and answer format. Most questions are type O-SLW/c/sq/n/10/a, next there are questions type O-Slu/c/sq/n/10/b and O-SLW/c/sq/n/11/c. This classification is explained in section 4/3 of the introductory text. Data were taken from the tables 122C and 122D from this database. Rating scales ranged from 1 to 10 or from 0 to 10. Scores on this 1-10 scale were transformed linearly to range 0-10. This transformation in explained in the introductory text, chapter 7.3.
Standarddeviations of 32 nations are based on responses to a somewhat different question: "Suppose the top of
the ladder represents the best possible life for you and the bottom of the ladder the
worst possible life. Where on this ladder do you feel you personally stand at the present
time?" The response was rated on a ladder scale ranging from 0 to 10 (item code
C-BW/c/sq/l/11/c). We transformed the scores using the information of nations in
which both this item and the above question on life-satisfaction had been used in about
the same years. There are 83 such cases. The standard-deviations of the responses on the two items appears to be correlated: r = +.48 after deletion of two outliers (Pakistan and Tanzania). Examination of the scatterplot shows a linear pattern. We computed the
regression equation and used these to estimate the standard-deviation on 0-10 life-satisfaction. The formula is: Estimated SD 0-10 life satisfaction = 1,384 + 0,547 x observed SD on the
Best-Worst item. These estimates are reported in this table. The 95% confidence interval
around these estimated values is about 1 point, which means that these estimates are
quite rough.
This estimation technique is described in more
detail in the Introductory Text, chapter 7 'Comparability
of the data' in section 7/3.1 'Converting scores on measures of different happiness
variants'.
Standard deviations are not yet available for the following countries, of which average happiness is known: Belize, Central African Republic, Chad, Congo, Eritrea, Guinea, Guyana, Ivory Coast, Liberia, Mongolia, Nanibia, Somalia, Sudan, Tunesia
This list is included in the datafile 'States of nations' as variable SD_HappinessLSBW10.11_2000.08.
Cite as:
Veenhoven, R., Inequality of happiness in 131 nations 2000-2008, World Database of
Happiness, RankReport 2009-3b, Internet: worlddatabaseofhappiness.eur.nl