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Housing cost burden by sex and income quintiles 2004-2018

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12/3/2019
Percent/number
2004-2018
LIF03314
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During the publication of the results for 2015-2018, older results have been revised to take into account cost of electricity and heating. This adjustment mainly influences the estimates for tenants.
Estimates for 2018 are preliminary.

Indicator

Housing cost overburden rate

Percentage of the population living in a household where total housing costs (net of housing allowances) represent more than 40% of the total disposable household income (net of housing allowances).

Median of the housing cost burden

Housing cost burden is calculated as the percentage of total disposable houshold income used for housing cost (net of housing allowances). When studying social development the median is generally used since housing cost burden is positively skewed.

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

Rate of individuals (%)

The results come from Statistics on Income and Living condition 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 condition of the household, their own conditions and the conditions of all other household members. Here the data is analysed at the individual level and the circumstances of the houshold are assumed to apply for all individuals belonging to that household.

Rate lower bounds (%)

The results come from Statistics on Income and Living condition 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 for housing cost overburden rate does not fall below 0 and is assymmetrical, ie. the lower and upper bounds can be unequal. The confidence interval for median of the housing cost burden is symmetrical, ie. lower and upper bounds are equal, andis estimated by multiplying 1.96 with the standard error.

Rate upper bounds (%)

The results come from Statistics on Income and Living condition 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 for housing cost overburden rate does not fall below 0 and is assymmetrical, ie. the lower and upper bounds can be unequal. The confidence interval for median of the housing cost burden is symmetrical, ie. lower and upper bounds are equal, andis estimated by multiplying 1.96 with the standard error.

Number of individuals

The results come from Statistics on Income and Living condition 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 condition of the household, their own conditions and the conditions of all other household members. Here the data is analysed at the individual level and the circumstances of the houshold are assumed to apply for all individuals belonging to that household.

Number lower bounds

The results come from Statistics on Income and Living condition 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.

Number upper bounds

The results come from Statistics on Income and Living condition 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.