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[this is a icon-] A slice from a data cube dataset

General Health - Scottish Surveys Core Questions: a data cube slice

Self-assessed general health by tenure, household type, age, sex and disability. The Scottish Survey Core Questions is an innovative project drawing together multiple household surveys to provide a large sample for subnational analysis.

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  1. 16-34 years
  2. 35-64 years
  3. All
  4. 16-64 years
  5. 65 years and over
  1. All
  2. Female
  3. Male
Household Type
  1. Adults
  2. All
  3. Pensioners
  4. With Children
Limiting Long Term Physical Or Mental Health Condition
  1. All
  2. Limiting condition
  3. No limiting condition
Measure Type
  1. 95% Lower Confidence Limit, Percent
  2. 95% Upper Confidence Limit, Percent
  3. Percent
Reference Period
  1. 2012-2013
  2. 2012-2015
  3. 2014-2015
  4. 2014-2017
  5. 2016-2017
  6. 2016-2019
  7. 2018-2019
  8. 2012
  9. 2013
  10. 2014
  11. 2015
  12. 2016
  13. 2017
  14. 2018
  15. 2019
Self Assessed General Health
  1. Bad or Very bad
  2. Fair
  3. Good or Very good
Type Of Tenure
  1. All
  2. Owned Mortgage/Loan
  3. Owned Outright
  4. Rented
Reference Area
(showing types of area available in these data)
  1. Countries
  2. Council Areas
  3. Health Board Areas
Entire dataset
Note: These may be large files.
About the Dataset
Not supplied
Not supplied
In dataset
Next update due

Self-assessed general health is a critical measure of the population's overall health status and a key marker of health inequalities. One of the Scottish Government's National Outcomes is the overall strategic objective for health: We live longer, healthier lives. This is supported by a number of National Indicators including 'improve self-assessed general health'.

The Scottish Survey Core Questions is an innovative project drawing together multiple household surveys to provide a large sample for subnational analysis. For more information on this source, see the SSCQ website.

Confidentiality Policy

This dataset does not contain any sensitive or personal information.

Quality Management

Further information on the methodologies used to produce these statistics can be found in the SSCQ technical reports.

Accuracy and Reliability

SSCQ results are published with specific 95% confidence intervals, which account for the varying designs of constituent surveys. Confidence intervals provide a measure of the accuracy of point estimates, and should be considered when quoting statistics from this source. More information is provided in the SSCQ technical report.

Coherence and Comparability

The preferred source of statistics for time series at Scotland level is the Scottish Health Survey. Comparisons of results between SSCQ and the SHeS and with the census collection are provided in the SSCQ annual report. By pooling three surveys, SSCQ provides results at sub-national level that are often impossible with a smaller sample.

Earlier results (2012-2015 and 2014-2017) from the survey are presented here for Electoral Wards using the 2007 to 2016 boundaries. These may not be comparable to other datasets which use the current Electoral Ward boundaries. Details on live and archived geographies can be found in the Standard Geography Code Register.

Accessibility and Clarity

In addition to the data presented here, SSCQ reports, documentation and tables for download are available on the SSCQ webpages of the Scottish Government website


The pooling of Core Questions results in an annual sample of around 20,000 respondents, providing unprecedented precision of estimates at national level. This sample size enables the detailed and reliable analysis of national indicators by protected equalities characteristics such as ethnic group, religion, country of birth, sexual orientation, age, and gender. Further variables are education level, economic activity, tenure, car access and household type. Multi-level analysis is available on request.

Timeliness and Punctuality

Results from the SSCQ are generally published a year after the conclusion of fieldwork period, and after results from the constituent survey are published.


Revisions are dealt with in accordance with the Scottish Government Statistics Revisions Policy.


This slice of multidimensional data is not a Linked Data resource in the database: it's a virtual resource (i.e. you can't query it by SPARQL). But does have a permanent unique URL which can be bookmarked.
Dimensions Linked Data

A linked data-orientated view of dimensions and values

Dimension Locked Value
Measure Type
Reference Period
Household Type
Limiting Long Term Physical Or Mental Health Condition
Self Assessed General Health
Type Of Tenure
Owned Mortgage/Loan
(not locked to a value)
(not locked to a value)
Reference Area
(not locked to a value)