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

Fuel Poverty (Scottish House Condition Survey): a data cube slice

Number of households in fuel poverty by selected age and disability status of main householder.

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Age Of Dwelling
  1. All
  2. Post 1944
  3. Pre 1945
Fuel Poverty
  1. Extreme Fuel Poor
  2. Fuel Poor
Household Type
  1. All
  2. Families
  3. Older
  4. Other
Measure Type
  1. 95% Lower Confidence Limit, Percent
  2. 95% Upper Confidence Limit, Percent
  3. Percent
Number Of Bedrooms
  1. All
  2. Three or more
  3. Two or fewer
Reference Period
  1. 2010-2012
  2. 2011-2013
  3. 2012-2014
  4. 2013-2015
  5. 2014-2016
  6. 2015-2017
  7. 2010
  8. 2011
  9. 2012
  10. 2013
  11. 2014
  12. 2015
  13. 2016
  14. 2017
Type Of Dwelling
  1. All
  2. Flats
  3. Houses
Type Of Tenure
  1. All
  2. Owner Occupied
  3. Private Rented
  4. Social Rented
Reference Area
(showing types of area available in these data)
  1. Countries
  2. Council Areas
Entire dataset
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About the Dataset
Not supplied
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In dataset
Next update due
March 2020

Statistics presented here are based on the Scottish House Condition Survey (SHCS), an annual national survey of Scotland's housing stock, which forms part of the Scottish Household Survey (SHS).

The annual SHCS Key Findings report presents the latest national data for key measures of energy efficiency, fuel poverty, energy perceptions and housing quality. The local authority breakdowns provide key indicators at local authority level relating to different household and dwelling types. However three years of data are combined to mitigate the smaller sample sizes involved when analysing sub-national geographies. Therefore, it is important to be aware that for these aggregate time periods:

  • The three year average national rates will not match those for single years (also found in the main Key Findings reports).
  • Each three year average is a snapshot in time, and because of overlapping years, consecutive releases should not be used to quantify changes in time.
  • Notwithstanding the aggregation of three years of data, smaller base sub-samples mean that confidence intervals for different geographies, household and dwelling types will be larger than those reported in the annual Key Findings report.

As set out in the Scottish Fuel Poverty Statement, a household is in fuel poverty if, in order to maintain a satisfactory heating regime, it would be required to spend more than 10% of its income on all household fuel use. Extreme fuel poverty indicates that a house would have to spend more than 20% of its income to maintain a satisfactory heating regime. A satisfactory heating regime is defined as follows:

  • For "vulnerable"[1] households, 23°C in the living room (zone 1) and 18°C in other rooms (zone 2), for 16 hours in every 24.
  • For other households, 21°C in the living room (zone 1) and 18°C in other rooms (zone 2) for 9 hours a day during the week and 16 hours a day during the weekend.

The Fuel Poverty (Target, Definition and Strategy)(Scotland) Bill was introduced to the Scottish Parliament on 26 June 2018. This includes a proposed new definition of fuel poverty based on advice from an independent panel of experts. The statistics presented in this report are based on the current definition and this will continue until the legislation receives Royal Assent and the new definition become the official measure.

The methodology for modelling household energy consumption which underpins the estimation of fuel poverty is on the following basis: for 2010-2013, BRE (Building Research Establishment) Domestic Energy Model, BREDEM 2012 v 1.0, and from 2014, BREDEM 2012 v 1.1.

Where a table shows missing values, the data has either been suppressed on disclosure control grounds, or because there were no sampled cases.

[1] Vulnerable households are those where at least one resident is aged 60 or over, or suffers long term sickness or disability.

Confidentiality Policy

Where an estimate is representative of two or fewer sampled cases, or the base sample is fewer than 30 cases, the statistic is suppressed.

Quality Management
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Accuracy and Reliability

From 2012 onwards, the SHCS is a module of the Scottish Household Survey (SHS). In general, around one third of respondents to the SHS are invited to participate in a follow-up inspection by SHCS building surveyors.

The SHCS is a sample survey. All survey figures are estimates of the true prevalence within the population and will contain some error associated with sampling variability. The likely size of such variability can be identified, by taking account of the size and design of the sample. Users may estimate the margin of error by using a statistical significance tool included with the version published on the SHCS website.

In addition to sampling variability, there are other sources of uncertainty, such as those arising from incomplete responses or failure to secure participation in the survey from each sampled household. Where non-response is not random, i.e. some types of household are less likely to participate than others, bias is introduced into the survey data. Such errors have not been quantified in the main Key Findings reports, or for these aggregated years of data.

In general, the smaller the sample size, the greater the uncertainty around the estimate, so more care must be taken when using smaller subsets of the survey sample for analysis. In order to reach a sufficient sample size for local authorities, it is necessary that three years’ worth of data are combined.

95% confidence ranges help inform whether a difference between two estimates is statistically significant or not. Where the upper and lower ranges of the two estimates being compared do not overlap, there is a statistically significant difference at the 95% level between them. Instances where there is a small overlap can also result in a statistically significant difference – you may refer to the following Methodology Glossary for information on carrying out this more detailed analysis. However, as these figures are rounded to the nearest 0.1 percentage point, there is a chance this detailed analysis would not produce accurate results in marginal cases. Finally, where a lower or upper confidence interval would lie outside the 0-100% range, it has been set at either 0% or 100%, as appropriate. Further information on SHCS estimation can be found in Section 7.1 of the 2017 Key Findings report.

Each three year average of data is a snapshot in time, and because of overlapping years. consecutive releases should not be used to quantify changes in time. Where appropriate, considering the points over tenure and energy modelling differences detailed in Coherence and Comparability, three year periods with non-overlapping years may be compared. Furthermore, single year estimates can be compared to other single year estimates, where appropriate. However, single year estimates should not be compared to three year averages. For example, should a Local Authority estimate be compared to a national estimate, the corresponding three-year average national estimate should be used.

For a complete description of the survey's structure and its reliability, please refer to the SHCS Methodology Notes published on the SHCS website .

Coherence and Comparability

Users should be aware that the underlying energy model for estimating fuel poverty changed in 2010 and 2014, and the method of sourcing price information changed from 2013. For fuel costs, 2011 and 2012 include the Warm Homes Discount (WHD), while for 2013 onwards, fuel costs include both the WHD and the price source adjustments mentioned above. From 2016, a further improvement is included by assigning pre-payment metered fuel prices to the relevant households.

Because of a routing error tenure information is not available for a small number of “rent free” cases in the 2012 and 2013 surveys (46 in 2012, 42 in 2013). This was rectified for the 2014 fieldwork and the full sample has been used when reporting on tenure for subsequent years.

Consequently, these cases are excluded from tenure breakdowns for data encompassing up to and including 2013, and also applies to data covering the 2010-2012, 2011-2013, 2012-2014 and 2013-2015 periods. Tenure breakdowns are reported for single years on a consistent basis from 2014 to include these “rent free” categories.

In 2015, a uniform retirement age of 65 and above was introduced when building "Older" Household Types. All years in these data from 2010 onwards been harmonised to match this Household Type definition, and will not necessarily match the definition used in earlier Key Findings reports. Therefore, please refer to the 2017 SHCS Key Findings Report for a complete definition of the Household Types used in this data release.

Accessibility and Clarity
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Timeliness and Punctuality

The release of SHCS Local Authority data lags the publication of the annual SHCS Key Findings Report to allow for an aggregation of three years’ worth of data. The data are published in the first instance on the SHCS website, and the Open Data Platform will be updated as soon as possible after this. A summary document highlighting key findings of the 2015-2017 Local Authority release can also be found on the SHCS website.

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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
Reference Period
Age Of Dwelling
(not locked to a value)
Fuel Poverty
(not locked to a value)
Household Type
(not locked to a value)
Number Of Bedrooms
(not locked to a value)
Reference Area
(not locked to a value)
Type Of Dwelling
(not locked to a value)
Type Of Tenure
(not locked to a value)
Measure Type
(not locked to a value)