Statistics Iceland
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Housing conditions and overcrowding by sex and age 2004-2018

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12/16/2019
Percent/number
2004-2018
LIF03340
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Estimates for 2018 are preliminary.

Indicator

Poor housing conditions

The index is calculated as the percentage of respondents that experience problems with their housing because of a leaking roof and/or damp ceilings, dampness in the walls, floors or foundation and/or rot in window frames and doors.

Overcrowding

The overcrowding rate is defined as the percentage of the population living in an overcrowded household. A person is considered as living in an overcrowded household if the household does not have at its disposal a minimum number of rooms equal to: one room for the household; one room per couple in the household; one room for each single person aged 18 or more; one room per pair of single people of the same gender between 12 and 17 years of age; one room for each single person between 12 and 17 years of age and not included in the previous category; one room per pair of children under 12 years of age.

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 used here does not fall below 0 and is assymmetrical, ie. the lower and upper bounds can be unequal.

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 used here does not fall below 0 and is assymmetrical, ie. the lower and upper bounds can be unequal.

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.