The number of households in the corresponding geographical area (modelled). Household numbers have been applied at sub-regional areas of geography and fixed to ensure that fuel poverty and household numbers at the English Region level match.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Abstract copyright UK Data Service and data collection copyright owner.

The English Housing Survey (EHS ) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England.

End User Licence and Special Licence Versions
Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the End User Licence version first to see whether it meeds their needs, before making an application for the Special Licence version.

The English Housing Survey, 2013: Fuel Poverty Dataset is derived from the 2013 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2012 and March 2014. The midpoint of this period is April 2013, which can be considered as the reference date for the fuel poverty dataset. Guidance on use of EHS data provided by DCLG should also be applied to the fuel poverty dataset. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2013. Previously, a household was defined as being fuel poor if they spent more than 10% of their income on fuel.


Main Topics:

The data cover modelled household fuel costs and consumption. See documentation for further details.

This shows fuel poor households as a proportion of all households in the geographical area (modelled) using the Low Income Low Energy Efficiency (LILEE) measure. Since 2021 (2019 data) the LILEE indicator considers a household to be fuel poor if: it is living in a property with an energy efficiency rating of band D, E, F or G as determined by the most up-to-date Fuel Poverty Energy Efficiency Rating (FPEER) methodologyits disposable income (income after housing costs (AHC) and energy needs) would be below the poverty line. The Government is interested in the amount of energy people need to consume to have a warm, well-lit home, with hot water for everyday use, and the running of appliances. Therefore, fuel poverty is measured based on required energy bills rather than actual spending. This ensures that those households who have low energy bills simply because they actively limit their use of energy at home, Fuel poverty statistics are based on data from the English Housing Survey (EHS). Estimates of fuel poverty at the regional level are taken from the main fuel poverty statistics. Estimates at the sub-regional level should only be used to look at general trends and identify areas of particularly high or low fuel poverty. They should not be used to identify trends over time.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

This shows fuel poor households as a proportion of all households in the geographical area (modelled) using the Low Income Low Energy Efficiency (LILEE) measure. Since 2021 (2019 data) the LILEE indicator considers a household to be fuel poor if: it is living in a property with an energy efficiency rating of band D, E, F or G as determined by the most up-to-date Fuel Poverty Energy Efficiency Rating (FPEER) methodologyits disposable income (income after housing costs (AHC) and energy needs) would be below the poverty line. The Government is interested in the amount of energy people need to consume to have a warm, well-lit home, with hot water for everyday use, and the running of appliances. Therefore, fuel poverty is measured based on required energy bills rather than actual spending. This ensures that those households who have low energy bills simply because they actively limit their use of energy at home, Fuel poverty statistics are based on data from the English Housing Survey (EHS). Estimates of fuel poverty at the regional level are taken from the main fuel poverty statistics. Estimates at the sub-regional level should only be used to look at general trends and identify areas of particularly high or low fuel poverty. They should not be used to identify trends over time.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Abstract copyright UK Data Service and data collection copyright owner.The English Housing Survey (EHS ) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. End User Licence and Special Licence Versions Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the End User Licence version first to see whether it meeds their needs, before making an application for the Special Licence version. The English Housing Survey, 2004: Fuel Poverty Dataset is derived from the 2004 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2003 and March 2005. The midpoint of this period is April 2004, which can be considered as the reference date for the fuel poverty dataset. Guidance on use of EHS data provided by DCLG should also be applied to the fuel poverty dataset. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2004. Previously, a household was defined as being fuel poor if they spent more than 10% of their income on fuel. Main Topics: The data cover modelled household fuel costs and consumption. See documentation for further details. Compilation or synthesis of existing material

The data includes estimates at lower super output area (LSOA) of housholds subject to high energy costs and low income (since 2011) and of households spending 10% or more of their income on fuel, for 2008 to 2012. All the data comes from DECC.

The number of households in the corresponding geographical area (modelled). Household numbers have been applied at sub-regional areas of geography and fixed to ensure that fuel poverty and household numbers at the English Region level match.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

The data covers 2011 LSOA estimates for the number and percentage of households in fuel poverty for the Cambridge sub-region from 2008 to 2012. There are two ways to measure this; 10% income on fuel and high cost/low income model (2011 onwards) and the Cambridgeshire atlas | Fuel Poverty http://www.cambridgeshireinsight.org.uk/housing/existing-homes/fuel-poverty shows both of these.

These fuel poverty risk indicators provide users with a nuanced picture of the impact of various risk factors, exacerbating factors and indicators for fuel poverty. It was developed with the Assembly Health and Public Services Committee in their investigation into fuel poverty in London. The Committee's report explains how the tool could be used strategically to help organisations target specific wards that are at high risk of fuel poverty. Appendix 4 in the report set out the rationale for the risk factors present in the tool.

Users can adjust the weighting of the indicators to show their relative significance. Isolating specific indicators could help organisations determine what type of support is likely to have greatest impact in an area. For example, wards with a low score for cavity wall insulation would indicate wards that could be targeted for promoting uptake of cavity wall insulation.

Read Victoria Borwick's blog "Using public data to tackle fuel poverty - can you help?"

The fuel poverty scores measure risk of fuel poverty based on 12 indicators. The England and Wales average each year is 0. Scores below 0 are more likely to be at risk from fuel poverty according to these measures.

The indicators are:

Housing
Dwellings without central heating
Cavity walls that are uninsulated
Lofts with less than 150mm insulation

Health
Health Deprivation & Disability domain (ID2010)
Standardised Mortality Ratio
Incapacity Benefit claimant rate

Older people
People aged 60 and over
Older people claiming pension credit

Worklessness
Unemployment

Poverty
Income Support claimant rate
Child Poverty rates
Households classified 'fuel poor'

The Excel tool includes a ward map, charts and rankings.

Note: Users must enable macros when prompted upon opening the spreadsheet (or reset security to medium/low) for the map to function. The rest of the tool will function without macros.

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Abstract copyright UK Data Service and data collection copyright owner.The English Housing Survey (EHS) is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. The EHS brings together two previous survey series into a single fieldwork operation: the English House Condition Survey (EHCS) (available from the UK Data Archive under GN 33158) and the Survey of English Housing (SEH) (available under GN 33277). The EHS covers all housing tenures. The information obtained through the survey provides an accurate picture of people living in the dwelling, and their views on housing and their neighbourhoods. The survey is also used to inform the development and monitoring of the Ministry's housing policies. Results from the survey are also used by a wide range of other users including other government departments, local authorities, housing associations, landlords, academics, construction industry professionals, consultants, and the general public. The EHS has a complex multi-stage methodology consisting of two main elements; an initial interview survey of around 12,000 households and a follow-up physical inspection. Some further elements are also periodically included in or derived from the EHS: for 2008 and 2009, a desk-based market valuation was conducted of a sub-sample of 8,000 dwellings (including vacant ones), but this was not carried out from 2010 onwards. A periodic follow-up survey of private landlords and agents (the Private Landlords Survey (PLS)) is conducted using information from the EHS interview survey. Fuel Poverty datasets are also available from 2003, created by the Department for Energy and Climate Change (DECC). The EHS interview survey sample formed part of the Integrated Household Survey (IHS) (available from the Archive under GN 33420) from April 2008 to April 2011. During this period the core questions from the IHS formed part of the EHS questionnaire. End User Licence and Special Licence Versions: From 2014 data onwards, the End User Licence (EUL) versions of the EHS will only include derived variables. In addition the number of variables on the new EUL datasets has been reduced and disclosure control increased on certain remaining variables. New Special Licence versions of the EHS will be deposited later in the year, which will be of a similar nature to previous EHS EUL datasets and will include derived and raw datasets. Further information about the EHS and the latest news, reports and tables can be found on the GOV.UK English Housing Survey web pages. The English Housing Survey, 2015-2016: Household Data comprises the derived interview data for all cases where an interview has been completed. Datasets are provided for single financial years together with annual weights. The survey consists of a detailed interview using a CAPI based program. An interview is first conducted with the householder. General topics and concepts covered include household characteristics, satisfaction with the home and the area, disability and adaptations to the home, ownership and rental details and income details. The household data should be used for any analysis where only information from the household interview is required. Users who also require data from the physical survey should use the English Housing Survey, 2015: Housing Stock Data (SN 8186). Users should note that the dictionary of derived variables covering the current year will be made available in the summer, alongside the 2015-16 Technical Report. Main Topics: The main topics covered include: general tenure and demographics; household income and housing costs; housing needs; housing aspirations and satisfaction; housing moves; and vulnerable and disadvantaged households. Multi-stage stratified random sample Face-to-face interview

Number and percentage of properties with solid walls and those not connected to gas mains at Lower Super Output Area level. Data is taken from the rural fuel poverty study funded by Eaga Partnership Charitable Trust, and Energy Efficiency Partnership for Homes. The report helped with quantifying rural fuel poverty across England, particularly in relation to hard-to-treat (HTT) homes. Data covers the whole of England. Spreadsheet also includes household in fuel poverty in 2003.

Abstract copyright UK Data Service and data collection copyright owner.The English Housing Survey (EHS) is a continuous national survey commissioned by the Department for Communities and Local Government (DCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. The EHS brings together two previous survey series into a single fieldwork operation: the English House Condition Survey (EHCS) (available from the UK Data Archive under GN 33158) and the Survey of English Housing (SEH) (available under GN 33277). The EHS covers all housing tenures and provides valuable information and evidence to inform the development and monitoring of the department's housing policies. Results from the survey are also used by a wide range of other users including other government departments, local authorities, housing associations, landlords, academics, construction industry professionals, consultants, and the general public. The EHS has a complex multi-stage methodology consisting of two main elements; an initial interview survey of around 14,000 households and a follow-up physical inspection. Some further elements are also periodically included in or derived from the EHS: for 2008 and 2009, a desk-based market valuation was conducted of a sub-sample of 8,000 dwellings (including vacant ones), but this was not carried out from 2010 onwards. A periodic follow-up survey of private landlords and agents (the Private Landlords Survey (PLS)) is conducted using information from the EHS interview survey. Fuel Poverty datasets are also available from 2003, created by the Department for Energy and Climate Change (DECC). The EHS interview survey sample formed part of the Integrated Household Survey (IHS) (available from the Archive under GN 33420) from April 2008 to April 2011. During this period the core questions from the IHS formed part of the EHS questionnaire. End User Licence and Special Licence Versions: From 2014 data onwards, the End User Licence (EUL) versions of the EHS only include derived variables. In addition the number of variables on the EUL datasets from that date has been reduced and disclosure control increased on certain remaining variables. The new Special Licence versions of the EHS, which are subject to more restrictive access conditions, are of a similar nature to EHS EUL datasets prior to 2014 and include both derived and raw datasets. Further information about the EHS and the latest news, reports and tables can be found on the GOV.UK English Housing Survey web pages. The English Housing Survey, 2015-2016: Household Data: Special Licence Access comprises both the raw and derived interview data for all cases where an interview has been completed (as opposed to the EUL version held under SN 8185, which includes only derived data). Datasets are provided for single financial years together with annual weights. The survey consists of a detailed interview using a CAPI based program. An interview is first conducted with the householder. General topics and concepts covered include household characteristics, satisfaction with the home and the area, disability and adaptations to the home, ownership and rental details and income details. Users are advised to obtain SN 8185 to see whether it is suitable for their needs before making an application for the Special Licence version. The household data should be used for any analysis where only information from the household interview is required. Users who also require data from the physical survey should use the English Housing Survey, 2015: Housing Stock Data EUL or Special Licence versions (SNs 8186 and 8255 respectively). Main Topics: The main topics covered include: general tenure and demographics; household income and housing costs; housing needs; housing aspirations and satisfaction; housing moves; and vulnerable and disadvantaged households. Multi-stage stratified random sample Face-to-face interview

Abstract copyright UK Data Service and data collection copyright owner.The English Housing Survey (EHS) is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. The EHS brings together two previous survey series into a single fieldwork operation: the English House Condition Survey (EHCS) (available from the UK Data Archive under GN 33158) and the Survey of English Housing (SEH) (available under GN 33277). The EHS covers all housing tenures. The information obtained through the survey provides an accurate picture of people living in the dwelling, and their views on housing and their neighbourhoods. The survey is also used to inform the development and monitoring of the Ministry's housing policies. Results from the survey are also used by a wide range of other users including other government departments, local authorities, housing associations, landlords, academics, construction industry professionals, consultants, and the general public. The EHS has a complex multi-stage methodology consisting of two main elements; an initial interview survey of around 12,000 households and a follow-up physical inspection. Some further elements are also periodically included in or derived from the EHS: for 2008 and 2009, a desk-based market valuation was conducted of a sub-sample of 8,000 dwellings (including vacant ones), but this was not carried out from 2010 onwards. A periodic follow-up survey of private landlords and agents (the Private Landlords Survey (PLS)) is conducted using information from the EHS interview survey. Fuel Poverty datasets are also available from 2003, created by the Department for Energy and Climate Change (DECC). The EHS interview survey sample formed part of the Integrated Household Survey (IHS) (available from the Archive under GN 33420) from April 2008 to April 2011. During this period the core questions from the IHS formed part of the EHS questionnaire. End User Licence and Special Licence Versions: From 2014 data onwards, the End User Licence (EUL) versions of the EHS will only include derived variables. In addition the number of variables on the new EUL datasets has been reduced and disclosure control increased on certain remaining variables. New Special Licence versions of the EHS will be deposited later in the year, which will be of a similar nature to previous EHS EUL datasets and will include derived and raw datasets. Further information about the EHS and the latest news, reports and tables can be found on the GOV.UK English Housing Survey web pages. The English Housing Survey, 2015: Housing Stock Data is available for all cases where a physical survey has been completed. For occupied cases the data comprises information from the household interview and from the physical survey. For vacant properties only, data from the physical survey are provided. The study only includes derived variables. The data are made available for a two-year rolling sample i.e. approximately 12,000 cases together with the appropriate two-year weights. For example, the EHS Housing Stock data presented here are for 2015, but cover the period April 2014 to March 2016. This means that if you use more than one housing stock dataset, you must use either odd or even years. For example, you need to use the Housing Stock Dataset for '2012' and '2014' or '2013' and '2015', but not the dataset for '2014' and '2013' as you would double-count the cases surveyed between April 2013 and March 2014. The Housing Stock dataset should be used for any analysis requiring information relating to the physical characteristics and energy efficiency of the housing stock. Derived datasets provide key analytical variables compiled post-fieldwork including energy efficiency ratings, decent home indicators and equivalised income. Users who only require data from the household interview should use the English Housing Survey, 2015-2016: Household Data (SN 8185). Users should note that the dictionary of derived variables covering the current year will be made available in the summer, alongside the 2015-16 Technical Report. Main Topics: The EHS Housing Stock survey consists of two components. Interview Survey An interview is first conducted with the householder. The interview topics include: household characteristics, satisfaction with the home and the area, disability and adaptations to the home, ownership and rental details and income details. All interviewees are guaranteed confidentiality and all data are anonymised. Physical Survey Where interviews were achieved (the 'full household sample'), each year all rented properties and a sub-sample of owner occupied properties are regarded as eligible for the physical survey and the respondent’s consent is sought. A proportion of vacant properties were also sub-sampled. For these cases a visual inspection of the property, both internal and external is carried out by a qualified surveyor. Multi-stage stratified random sample Face-to-face interview House inspection; Surveyor property inspection.

Abstract copyright UK Data Service and data collection copyright owner.

The English Housing Survey (EHS) is a continuous national survey commissioned by the Department for Communities and Local Government (DCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. The EHS brings together two previous survey series into a single fieldwork operation: the English House Condition Survey (EHCS) (available from the UK Data Archive under GN 33158) and the Survey of English Housing (SEH) (available under GN 33277). The EHS covers all housing tenures and provides valuable information and evidence to inform the development and monitoring of the department's housing policies. Results from the survey are also used by a wide range of other users including other government departments, local authorities, housing associations, landlords, academics, construction industry professionals, consultants, and the general public.

The EHS has a complex multi-stage methodology consisting of two main elements; an initial interview survey of around 14,000 households and a follow-up physical inspection. Some further elements are also periodically included in or derived from the EHS: for 2008 and 2009, a desk-based market valuation was conducted of a sub-sample of 8,000 dwellings (including vacant ones), but this was not carried out from 2010 onwards. A periodic follow-up survey of private landlords and agents (the Private Landlords Survey (PLS)) is conducted using information from the EHS interview survey. Fuel Poverty datasets are also available from 2003, created by the Department for Energy and Climate Change (DECC).

The EHS interview survey sample formed part of the Integrated Household Survey (IHS) (available from the Archive under GN 33420) from April 2008 to April 2011. During this period the core questions from the IHS formed part of the EHS questionnaire.

End User Licence and Special Licence Versions:
From 2014 data onwards, the End User Licence (EUL) versions of the EHS only include derived variables. In addition the number of variables on the EUL datasets from that date has been reduced and disclosure control increased on certain remaining variables. The new Special Licence versions of the EHS, which are subject to more restrictive access conditions, are of a similar nature to EHS EUL datasets prior to 2014 and include both derived and raw datasets.

Further information about the EHS and the latest news, reports and tables can be found on the GOV.UK English Housing Survey web pages.

The English Housing Survey, 2017: Housing Stock Data: Special Licence Access is available for all cases where a physical survey has been completed. For occupied cases the data comprises information from the household interview and from the physical survey. For vacant properties only, data from the physical survey are provided. The Special Licence version includes raw interview and physical datasets and derived data, whereas the EUL version (SN 8494) only includes derived variables. Users are advised to obtain SN 8494 to see whether it is suitable for their needs before making an application for the Special Licence version.

The data are made available for a two-year rolling sample i.e. approximately 12,000 cases together with the appropriate two-year weights. For example, the EHS Housing Stock results presented here are for 2017, but cover the period April 2016 to March 2018. This means that if you use more than one housing stock dataset, you must use either odd or even years. For example, you need to use the Housing Stock Dataset for '2012' and '2014' or '2013' and '2015', but not the dataset for '2014' and '2013' as you would double-count the cases surveyed between April 2013 and March 2014. The Housing Stock dataset should be used for any analysis requiring information relating to the physical characteristics and energy efficiency of the housing stock. Derived datasets provide key analytical variables compiled post-fieldwork including energy efficiency ratings, decent home indicators and equivalised income.

Users who only require data from the household interview should use the English Housing Survey, 2017-2018: Household Data EUL or Special Licence versions (SNs 8495 and 8545 respectively).

New edition information
For the second edition (January 2020), revised interview data files have been deposited.

Main Topics:

The EHS Housing Stock survey consists of two components.
Interview SurveyAn interview is first conducted with the householder. The interview topics include: household characteristics, satisfaction with the home and the area, disability and adaptations to the home, ownership and rental details and income details. All interviewees are guaranteed confidentiality and all data are...

Abstract copyright UK Data Service and data collection copyright owner.The English Housing Survey (EHS) is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England. The EHS brings together two previous survey series into a single fieldwork operation: the English House Condition Survey (EHCS) (available from the UK Data Archive under GN 33158) and the Survey of English Housing (SEH) (available under GN 33277). The EHS covers all housing tenures. The information obtained through the survey provides an accurate picture of people living in the dwelling, and their views on housing and their neighbourhoods. The survey is also used to inform the development and monitoring of the Ministry's housing policies. Results from the survey are also used by a wide range of other users including other government departments, local authorities, housing associations, landlords, academics, construction industry professionals, consultants, and the general public. The EHS has a complex multi-stage methodology consisting of two main elements; an initial interview survey of around 12,000 households and a follow-up physical inspection. Some further elements are also periodically included in or derived from the EHS: for 2008 and 2009, a desk-based market valuation was conducted of a sub-sample of 8,000 dwellings (including vacant ones), but this was not carried out from 2010 onwards. A periodic follow-up survey of private landlords and agents (the Private Landlords Survey (PLS)) is conducted using information from the EHS interview survey. Fuel Poverty datasets are also available from 2003, created by the Department for Energy and Climate Change (DECC). The EHS interview survey sample formed part of the Integrated Household Survey (IHS) (available from the Archive under GN 33420) from April 2008 to April 2011. During this period the core questions from the IHS formed part of the EHS questionnaire. End User Licence and Special Licence Versions: From 2014 data onwards, the End User Licence (EUL) versions of the EHS will only include derived variables. In addition the number of variables on the new EUL datasets has been reduced and disclosure control increased on certain remaining variables. New Special Licence versions of the EHS will be deposited later in the year, which will be of a similar nature to previous EHS EUL datasets and will include derived and raw datasets. Further information about the EHS and the latest news, reports and tables can be found on the GOV.UK English Housing Survey web pages. The English Housing Survey, 2013: Housing Stock Data is available for all cases where a physical survey has been completed. For occupied cases the data comprises information from the household interview and from the physical survey. For vacant properties only, data from the physical survey are provided. The data are made available for a two-year rolling sample i.e. approximately 12,000 cases together with the appropriate two-year weights. For example, the EHS Housing Stock results presented here are for 2013, but cover the period April 2012 to March 2014. The Housing Stock dataset should be used for any analysis requiring information relating to the physical characteristics and energy efficiency of the housing stock. Derived datasets provide key analytical variables compiled post-fieldwork including energy efficiency ratings, decent home indicators and equivalised income. Latest edition information For the second edition (March 2017), a new cavity wall insulation variable wins95x was added to the physical file. This variable was introduced for the latest EHS Headline Report. From the submission of the 2015 EHS, wins95x will replace wins90x; it has been added to EHS physical files from 2007/8 onwards. Main Topics: The EHS Housing Stock survey consists of two components. Interview Survey An interview is first conducted with the householder. The interview topics include: general tenure and demographics; household income and housing costs; housing needs; housing aspirations and satisfaction; housing moves; and vulnerable and disadvantaged households. Physical Survey Where interviews are achieved (the 'full household sample'), each year all rented properties and a sub-sample of owner occupied properties are regarded as eligible for the physical survey and the respondent's consent is sought. A proportion of vacant properties are also sub-sampled. For these cases a visual inspection of the property, both internal and external is carried out by a qualified surveyor. Data collected cover: stock profile; amenities; services and the local environment; dwelling condition and safety; energy performance; and energy-inefficient dwellings. Multi-stage stratified random sample Face-to-face interview Physical measurements House inspection; Surveyor property inspection. 2013 2014 AGE AIDS FOR THE DISABLED ANXIETY APARTMENTS ATTITUDES BATHROOMS BEDROOMS BIOFUELS BOILERS BUILDING MAINTENANCE CAR PARKING AREAS CARS CEILINGS CENTRAL HEATING CHIMNEYS COHABITATION COMMUNAL ESTABLISHM... COOKING FACILITIES COSTS COUNCIL TAX DISABILITIES DISABLED ACCESSIBILITY DISABLED FACILITIES DISABLED PERSONS DOMESTIC SAFETY DOORS ECONOMIC ACTIVITY ECONOMIC VALUE EDUCATIONAL BACKGROUND ELDERLY ELECTRIC POWER SUPPLY EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ENERGY CONSUMPTION ENERGY EFFICIENCY ENVIRONMENT ETHNIC GROUPS England FAMILIES FINANCIAL RESOURCES FIRE FLOORS FOSSIL FUELS FREEHOLD FURNISHED ACCOMMODA... GARAGES GAS SUPPLY GENDER HAPPINESS HEADS OF HOUSEHOLD HEATING SYSTEMS HIGH RISE FLATS HOME BUILDINGS INSU... HOME BUYING HOME CONTENTS INSUR... HOME OWNERSHIP HOME SHARING HOMELESSNESS HOURS OF WORK HOUSE PRICES HOUSEHOLD INCOME HOUSEHOLDERS HOUSEHOLDS HOUSES HOUSING HOUSING AGE HOUSING BENEFITS HOUSING CONDITIONS HOUSING FACILITIES HOUSING IMPROVEMENT HOUSING SHORTAGES HOUSING TENURE HUMAN SETTLEMENT Housing ILL HEALTH INCOME INTEREST RATES KITCHENS LANDLORDS LAVATORIES LEASEHOLD LIFE SATISFACTION LOANS LOCAL TAX BENEFITS LODGERS MARITAL STATUS METHODS OF PAYMENT MORTGAGE ARREARS MORTGAGE PROTECTION... MORTGAGES OWNERSHIP AND TENURE PHYSICAL MOBILITY PLACE OF BIRTH POVERTY PRIVATE GARDENS PROPERTY RADIATORS RATES RENTED ACCOMMODATION RENTS RESIDENTIAL BUILDINGS RESIDENTIAL MOBILITY RESPONSIBILITY ROOFS ROOMS RURAL AREAS SATISFACTION SAVINGS SECOND HOMES SELF EMPLOYED SEWAGE DISPOSAL AND... SHELTERED HOUSING SINGLE OCCUPANCY HO... SOCIAL HOUSING SOCIAL SECURITY BEN... SOCIO ECONOMIC STATUS SOLAR ENERGY SPOUSES STANDARD OF LIVING STATUS IN EMPLOYMENT STRUCTURAL ELEMENTS... STUDENT HOUSING SUPERVISORY STATUS TEMPORARY EMPLOYMENT TENANCY AGREEMENTS THERMAL INSULATION TIED HOUSING TRAFFIC NOISE UNEMPLOYED UNFURNISHED ACCOMMO... UNWAGED WORKERS URBAN AREAS VACANT HOUSING WALLS WASHING FACILITIES WHEELCHAIRS WINDOWS

The English Housing Survey (EHS ) Fuel Poverty Datasets are comprised of fuel poverty variables derived from the EHS, and a number of EHS variables commonly used in fuel poverty reporting. The EHS is a continuous national survey commissioned by the Ministry of Housing, Community and Local Government (MHCLG) that collects information about people's housing circumstances and the condition and energy efficiency of housing in England.

End User Licence and Special Licence Versions
Similar to the main EHS, two versions of the Fuel Poverty dataset are available from 2014 onwards. The Special Licence version contains additional, more detailed, variables, and is therefore subject to more restrictive access conditions. Users should check the End User Licence version first to see whether it meeds their needs, before making an application for the Special Licence version.

The English Housing Survey, 2014: Fuel Poverty Dataset: Special Licence Access is derived from the 2014 EHS database created by the DCLG. This database is constructed from fieldwork carried out between April 2013 and March 2015. The midpoint of this period is April 2014, which can be considered as the reference date for the fuel poverty dataset. Guidance on use of EHS data provided by DCLG should also be applied to the fuel poverty dataset. The dataset is the outcome of analysis conducted to produce estimates of the number of households living in fuel poverty in England in 2014.

The majority of fuel poverty variables are included in the dataset deposited at the UK Data Archive under the standard End User Licence (SN 8048). To comply with the data disclosure control guidance issued by the Government Statistical Service, supplementary fuel poverty variables are released under this Special Licence version, which is subject to more restrictive access conditions (see Access section below). Users are advised to obtain SN 8048 to see whether it is suitable for their needs before making an application for the Special Licence version.

Latest Edition Information
For the second edition (August 2017), the variable WallType has been updated. This change is connected to the recent changes to wall insulation variables in the corresponding Housing Stock data – further information can be found with study number 8068, English Housing Survey, 2014: Housing Stock Data: Special Licence Access.