Description:

This indicator measures the percentage of households who report being either “very satisfied” or “fairly satisfied” with their house or flat.

Source of Data:

The Scottish Household Survey (SHS) is a continuous survey based on a random sample of the general population in private residences in Scotland. Questions are asked face-to-face by an interviewer in homes all over Scotland. Participation is voluntary, but is important in helping make representative estimates for Scotland.

The SHS is designed to provide reliable and up-to-date information on the composition, characteristics, attitudes and behaviour of private households and individuals, both nationally and at a sub-national level and to examine the physical condition of Scotland’s homes. It covers a wide range of topics to allow links to be made between different policy areas.

From January 2012, a new Scottish Household Survey (SHS) went in to the field with a substantially restructured sample design which integrated the previous Scottish House Condition Survey (SHCS). Data presented here up to but not including 2012 are therefore from when the SHCS was carried out as an independent survey. However, we consider the consistency of the time series to be relatively unaffected by the SHS/SHCS sample design changes in 2012.

Data for this indicator is published in the Scottish Household Survey Annual Report, which can be found here. An interactive data explorer for the SHS can be found here.

Definitions:

Approximately one third of households participating in the Scottish Household Survey are asked to respond to the question “On the whole, how satisfied or dissatisfied are you with this house/flat?” by selecting one of the following answers:

  1. Very satisfied
  2. Fairly satisfied
  3. Neither satisfied nor dissatisfied
  4. Fairly dissatisfied
  5. Very satisfied
  6. No opinion

Criteria for Change:

The evaluation is based on the presence or absence of overlap between the 95% confidence intervals of the current and last year’s data.

  • Any overlap between the 95% confidence intervals of last year’s and this year’s figure suggests that the position is more likely to be maintaining than showing any change.
  • A lower 95% confidence limit on this year’s figure exceeding the upper 95% confidence limit of last year’s figure suggests the position is improving.
  • an upper 95% confidence limit below last year’s lower 95% confidence limit suggests the position is worsening.

These data are rounded to the first decimal point, rather than to the nearest integer, to better evaluate and present the direction of change.

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