Statistics Iceland
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Crimes, noise or pollution in the neighbourhood by type of housing 2004-2018

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12/16/2019
Percent/number
2004-2018
LIF03354
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Estimates for 2018 are preliminary.

Indicator

Crime

Each respondent is asked if there are problems in his or her neighbourhood regarding crimes, violence or vandalism.

Noise

Each respondent is asked if there are problems in his or her neighbourhood with excessive noise from neighbours, or from outside for example from traffic, factories or industry.

Pollution

Each respondent is asked if there are problems in his or her neighbourhood with pollution, for example smoke, dust, bad smells or polluted water.

Unit

Household rate (%)

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 data is analysed at the household level.

Rate 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 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 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 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 households

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 data is analysed at the household level.

Number 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.

Number 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.