Kiev International Institute of Sociology (KIIS) studied public opinion during the period of May 21-30, 2013. 2030 respondents were interviewed; the investigation covered all regions of Ukraine, including Kiev and Crimea Region; the sample was random and is deemed to be representative for population of Ukraine aged 18 and above.
Statistical sample deviation (with probability of 0.95 and design-effect of 1.5) does not exceed:
3.3% for index close to 50%,
2,8% — for index close to 25%,
2,0% — for index close to 10%,
1,4% — for index close to 5%.
Dynamic of happiness evaluation
The research has proven that happiness level has been significantly reduced during the period of 2010-2012 and remained almost the same in 2013. Thus, 63% of interviewed Ukrainians acknowledged themselves happy in 2011, in 2012 they constituted 53%, and in 2013 — 56% (quantity of happy respondents increased 3%, however, quantity of unhappy people also showed enlargement for 3%).
Dynamic of answers to the question “Do you think of yourself as of happy person?” in 2001–2013..
| |
2001 |
2002 |
2003 |
2005 |
2006 |
2007 |
2008 |
2009 |
2010 |
2011 |
2012 |
2013 |
| Yes and likely |
38% |
49% |
52% |
47% |
52% |
54% |
57% |
58% |
65% |
63% |
53% |
56% |
| Yes and no |
27% |
22% |
24% |
27% |
25% |
21% |
21% |
21% |
19% |
17% |
28% |
22% |
| No and unlikely |
33% |
27% |
22% |
25% |
20% |
23% |
20% |
17% |
14% |
17% |
16% |
19% |
| Don’t know |
2% |
2% |
2% |
1% |
3% |
2% |
3% |
3% |
2% |
3% |
4% |
3% |
| TOTAL |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
100 |
The chart shows balance happiness-unhappiness, which was counted as difference between percentage of happy respondents and unhappy respondents (that is the percentage that happy people prevail unhappy).
As to the regions:
Difference between the regions is not significant and can be explained by the difference in age and educational variances and different correlation between city and country population. Regions which can be deemed as the happiest according to the investigation results are Western (58%) and Central (57%), the unhappiest is Southern (53%). Eastern region has 55% of happy population.
As to age:
In general, young people are much happier than older ones, with age increase the happiness level reduces. As it is clear from the investigation as of May 2013, the happiest age is 18–29 (71%); among respondents aged 30–39 happiness level constitutes 68%; 40–49 — 52%; 50–59 — 49%; 60–69 — 43%. Seniors have the lowest happiness level which constitutes only 40%.
As to wellbeing:
Happiness level is also related to level of wellbeing: the higher the latter is, the happier the person is. This correlation is almost linear. Thus, according to the May investigation results, those who starve (poor people) are happy only in 36 cases per 100 respondents; and those whose income is above the average (who can buy almost everything) the happiness level constitutes 78%.
As of education level:
Education is one of factors that significantly influences the happiness level. The higher education is, the higher happiness level is. Thus, happiness level among people with incomplete secondary education constitutes 39%, when among people with complete secondary education it makes up 49%; among respondents with vocational secondary education — 56% and higher education — 69%.
As of type of settlement:
Happiness level is also connected with type of settlement: city habitants acknowledge themselves much happier (59%) than country habitants (50%).
Application
Do you think of yourself as of happy person?
| |
Ukraine in general, % |
West |
Central |
South |
East |
| Yes and likely |
56.0 |
58.0 |
57.1 |
53.3 |
55.2 |
| Yes and no |
22.3 |
22.5 |
20.5 |
21.0 |
26.2 |
| No and unlikely |
18.7 |
17.4 |
18.7 |
22.1 |
16.0 |
| Don’t know |
3.0 |
2.0 |
3.6 |
3.7 |
2.6 |
| TOTAL |
100 |
100 |
100 |
100 |
100 |
As of age
| |
18–29 |
30–39 |
40–49 |
50–59 |
60–69 |
70+ |
| Yes and likely |
71.4 |
68.1 |
52.2 |
48.9 |
43.2 |
40.1 |
| Yes and no |
16.4 |
17.8 |
25.2 |
23.8 |
28.7 |
25.3 |
| No and unlikely |
9.1 |
11.0 |
19.3 |
24.8 |
25.0 |
31.5 |
| Don’t know |
3.1 |
3.1 |
3.3 |
2.5 |
3.0 |
3.1 |
| TOTAL |
100 |
100 |
100 |
100 |
100 |
100 |
As of wellbeing level
| |
We have no money to buy food |
We have enough money to buy food, but we cannot buy clothes |
We have enough money to buy food, we can save |
We can afford everything we want |
| Yes |
15.0 |
19.5 |
31.5 |
44.4 |
| Likely |
20.7 |
31.0 |
33.6 |
33.3 |
| Yes and no |
22.5 |
25.3 |
20.9 |
11.1 |
| Unlikely |
19.4 |
11.7 |
8.7 |
7.7 |
| No |
20.7 |
9.1 |
2.6 |
2.6 |
| Don’t know |
1.8 |
3.4 |
2.5 |
0.9 |
| TOTAL |
100 |
100 |
100 |
100 |
As of level of education
| |
Incomplete Secondary (and lower) |
Secondary |
Vocational Secondary |
Higher |
| Yes and likely |
39.3 |
49.3 |
56.0 |
68.9 |
| Yes and no |
25.9 |
23.8 |
23.9 |
16.9 |
| No and unlikely |
34.1 |
24.7 |
16.5 |
10.3 |
| Don’t know |
0.7 |
2.1 |
3.6 |
3.9 |
| TOTAL |
100 |
100 |
100 |
100 |
As of type of settlement
| |
Country |
City |
| Yes |
20.9 |
26.7 |
| Likely |
29.5 |
31.9 |
| Yes and no |
24.7 |
21.2 |
| Unlikely |
14.4 |
9.6 |
| No |
9.0 |
6.9 |
| Don’t know |
1.5 |
3.7 |
| TOTAL |
100 |
100 |
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