Statistics Iceland
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People in good health by sex and income quintiles 2004-2018

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12/5/2019
%
2007-2018
HEI20003
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Estimates for 2018 are preliminary.
Respondents were asked the following question about their health: In general do you feel you have very good, good, fair, poor or very poor health?
1: Very good
2: Good
3: Fair
4: Poor
5: Very poor
The table shows when those who say their health was good or very good and compares them with others. This classification is in accordance with the classification of OECD.

Income quintiles

Total

Here the disposable income distribution has been divided into 5 equal parts, so called income quintiles. Here the income quintiles are defined and analysed on an individual level. Each individual is considered to be on the same income quintile as the other members of their household. This is in accordance with the defnition of disposable household income.

Unit

Proportion of individuals (%)

The results come from Statistics on Income and Living conditions survey (SILC). The general research unit in SILC is the household. The sample is drawn on a random basis from the National Registry of Persons. The selected respondent provides all information about the living conditions of the household, their own conditions and the conditions of all other household members. Here the analysis is based on the selected respondent.

Proportion lower bounds (%)

The results come from Statistics on Income and Living conditions survey that is based on a sample of the population and therefore there is uncertainty surrounding the results. To estimate this uncertainty confidence intervals are calculated. The confidence interval estimates how exactly the sample value represents the true value of the population. With 95% certainty the true estimate is contained within the upper and the lower bounds.
The 95% confidence interval used here does not fall below 0 and is assymmetrical, ie. the lower and upper bounds can be unequal.

Proportion upper bounds (%)

The results come from Statistics on Income and Living conditions survey that is based on a sample of the population and therefore there is uncertainty surrounding the results. To estimate this uncertainty confidence intervals are calculated. The confidence interval estimates how exactly the sample value represents the true value of the population. With 95% certainty the true estimate is contained within the upper and the lower bounds.
The 95% confidence interval used here does not fall below 0 and is assymmetrical, ie. the lower and upper bounds can be unequal.