1. Like many national surveys of households or individuals, in order to attain the optimum balance between sample efficiency and fieldwork efficiency the sample was clustered. The first stage of sampling involved randomly selecting postcode sectors. The sample frame of postcode sectors was also stratified (by urban-rural, region and the percentage of people in non-manual occupations) to improve the match between the sample profile and that of the Scottish population. For further details of the sample design, see Section 3.
2. See http://www.gov.scot/Topics/Statistics/About/Methodology/UrbanRuralClassification for details.
3. This includes empty / derelict addresses, buildings under construction, holiday homes, businesses, other non-residential (such as schools, offices and institutions), and addresses that had been demolished.
4. 'Unknown eligibility' includes cases where the address could not be located, where it could not be determined if an address was residential and where it could not be determined if an address was occupied or not.
5. Refusals include: refusals prior to selection of an individual; refusals to the office; refusal by the selected person; 'proxy' refusals made by someone on behalf of the respondent; and broken appointments after which a respondent could not be re-contacted.
6. Non-contacts comprise households where no one was contacted after at least 6 calls and those where the selected person could not be contacted.
7. 'Other unproductive' includes people who were ill at home or in hospital during the survey period, people who were unable to participate due to physical or mental health issues or where a language barrier made recruitment too difficult (despite translation and interpreting services being offered).
8. See https://www.gov.scot/collections/scottish-index-of-multiple-deprivation-2020/ for further details on the SIMD.
9. These variables were created by the ScotCen/NatCen Statistics Unit. They are based on SIMD scores for all datazones, not just those included in the sample – so an individual who lives in the most deprived quintile of Scotland will also be included in the most deprived quintile in the SSA dataset.
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