Report 3: Metered fuel consumption

Size: px
Start display at page:

Download "Report 3: Metered fuel consumption"

Transcription

1 Report 3: Metered fuel consumption Including annex on high energy users Prepared by BRE on behalf of the Department of Energy and Climate Change December 213 BRE report number

2 The EFUS has been undertaken by BRE on behalf of the Department of Energy and Climate Change (DECC). Report editors and lead authors: Jack Hulme, Adele Beaumont and Claire Summers. Project directed by: John Riley and Jack Hulme. Data manager: Mike Kay. Supporting authors and analysts: Mike Kay, Busola Siyanbola, Tad Nowak, Peter Iles, Andrew Gemmell, John Hart, John Henderson, Afi Adjei, Lorna Hamilton, Caroline Buchanan, Helen Garrett, Charlotte Turner, Sharon Monahan, Janet Utley, Sara Coward, Vicky Yan & Matt Custard. Additional thanks to the wider team of reviewers and contributors at BRE, DECC and elsewhere, including GfK NOP Social Research, Gemini Data Loggers, Consumer Futures, G4S, Eon, British Gas, and for the input of the Project Steering Group and Peer Reviewers.

3 Executive Summary This report presents the results from an analysis of the median gas and electricity consumptions derived from the 211 Energy Follow-Up Survey (EFUS). The 211 EFUS consisted of a follow-up interview survey and associated monitoring of a sub-set of households first visited as part of the 21/211 English Housing Survey (EHS). Analysis is based on the meter reading sub-sample weighted to the national level, using a weighting factor specific to the meter reading sub-sample. The results presented in this report are therefore representative of the English housing stock, with a population of 21.9 million households. The meter reading data reveals a wide range in energy consumption across the household stock 1. For gas, annualised consumption values ranged from a minimum of 3 kwh and a maximum of 76,5 kwh. For electricity, annualised consumption values ranged from a minimum of 4 kwh and a maximum of 35,1 kwh. For both fuels, the frequency distributions show considerable tailing towards the higher electricity consumption values, resulting in mean values that are considerably higher than the median values. In order to give a reasonable comparison across categories within typical dwelling and household groups, the report uses the median values throughout. The median annual mains gas consumption determined using the EFUS meter reading data is around 14, kwh, with a median value of around 3,7 kwh for electricity. 8% of households use between 5,9 to 28, kwh of gas per annum and between 1,8 and 8,8 kwh of electricity per annum. Significant differences are found in the average consumption levels for different categories of dwelling and household types. Gas use is closely linked to dwelling floor area as well as household size, with detached houses having a median gas consumption more than twice that found in flats. Electricity use appears to be related to the number of people in the household, with the data showing a median consumption of around 2,4 kwh for single people, compared with a figure of around 6, kwh where there are at least 5 people in the household. Households living in dwellings built between 1919 and 1944 show a significantly higher median gas consumption than those from other periods with a median of 17,1 kwh per year, a pattern that is also seen in the NEED report. These households also have a higher median electricity consumption than households living in dwellings built between 1965 and 198. There is no statistically significant difference in the median gas consumption of households living in rural or urban areas. However, median electricity consumption is significantly higher in households in rural areas compared to urban areas, likely to be due to the large number of dwellings in these locations without a gas supply. 1 These data are annualised to cover the period 15 th November 21 to 14 th November 211. This includes a very cold period in December 21, which acts to raise consumption when compared to calendar year 211 estimates.

4 There are no significant differences in the median consumption of either gas or electricity between households living in dwellings with or without wall insulation, nor between households living in dwellings with differing levels of loft insulation. However, households living in dwellings that are fully double glazed have median gas consumptions that are lower than those households living in dwellings which are not fully double glazed. There is some evidence of lower median gas consumption with increasing levels of different insulation measures, although the only statistically significant difference can be seen between those households living in well insulated dwellings (3 insulation measures) having both lower gas and electricity consumption than households living in poorly insulated dwellings. On average, owner occupiers consume significantly more gas than any other tenure and more electricity than the private rented or local authority tenures. For both fuels, the private rented, local authority and RSL tenures show no significant differences in their median annual consumption rates. gas consumption is lower for households in the lowest income quintile compared to households in all other income quintiles with around 7,5 kwh separating the median gas consumption in the highest and lowest income quintiles. The median electricity consumption increases as the income quintiles increase, however the difference is only statistically significant between the first income quintile and the top three income quintiles. The trend of higher use of both gas and electricity and higher incomes is what might be expected when considering the larger size of dwelling that might typically be associated with high incomes and the ability to afford higher fuel bills and in fact, similar median values are found for all income groups when the consumption is normalised for floor area. There are no significant differences in the median consumption values of either gas or electricity between households in which someone is in during the day and households in which no-one is in during the day. In dwellings where the household is said to be underoccupying, the median gas consumption is significantly higher than where they are not under-occupying. There is no significant difference in the median consumption of either fuel for households in fuel poverty compared to those not in fuel poverty.

5 Table of Contents 1 Introduction Methodology Weighting factors Findings Average consumption values Variation in household consumption patterns by dwelling characteristics Consumption by dwelling type Consumption by dwelling age Consumption by floor area Consumption by region and area type Consumption by energy performance Household consumption patterns Consumption by tenure Consumption by household size Consumption by household type Consumption by age of household reference person (HRP) Consumption by household employment status and income Consumption by occupancy characteristics Conclusions and further analysis Annex A: Focus on High Energy Users Annex A: Executive Summary A1 Introduction and Methodology A2 Findings A2.1 High gas consumers A2.1.1 Analysis by dwelling characteristics A2.1.2 Analysis by household characteristics and heating patterns A2.2 High electricity consumers A2.2.1 Analysis by dwelling characteristics A2.2.2 Analysis by household characteristics and appliance use A3 Conclusions Glossary References... 49

6 1 Introduction The main aim of the 211 Energy Follow-Up Survey (EFUS) was to collect new data on domestic energy use, in order to update the current modelling assumptions about how energy is used in the home, and to inform energy efficiency policy. The 211 EFUS consisted of a follow-up interview survey of a sub-set of households first visited as part of the 21/211 English Housing Survey (EHS). Additionally, sub-samples of these households were selected to have temperature loggers and electricity consumption monitors installed. A further stage of the EFUS was the compilation of gas and electricity consumption data from meter readings. Gas use in dwellings is predominantly for space heating. For electricity consumption, apart from those households with electric main heating systems, usage is likely to be additionally influenced by the number of persons in the household (higher consumptions arising from larger household numbers) as electricity use is predominantly for lights and appliances. This report focuses specifically on the analysis of the average (median) gas and electricity consumption values derived from meter readings taken primarily as part of the EHS 21/11 survey and the 211 EFUS. Analysis is based on the meter reading sub-sample weighted to the national level, using a weighting factor specific to the meter reading sub-sample. The results presented in this report are therefore representative of the English housing stock, with a population of 21.9 million households. The outcomes of this analysis will be used to inform energy efficiency policy and the data will be used in a wider context in conjunction with other EFUS outputs. Specific questions regarding metered energy use that this report will cover include: What are the typical measured gas and electricity consumptions per household in 211? How is the average consumption influenced by different household demographics? What effect does household income have on average energy consumption? How do physical dwelling characteristics and location affect the average energy required by the household? Is there a clear association between the energy efficiency of a dwelling and the average amount of energy used by its occupants? The annex to this report (Annex A) provides a focus on High Energy Users. This combines the information obtained from the household interview survey and the temperature monitoring data in order to investigate if certain types of households are more likely to be high energy consumers. A key component of this analysis process has been the linkage of the EFUS data to key dwelling and household descriptor variables collected in the interview and physical survey components of the 21 English Housing Survey (EHS). In this report, and the majority of the companion reports in this EFUS series, simple bivariate comparisons between the variable under consideration and individual descriptor variables have been performed in order to provide preliminary results and identify 1

7 bivariate trends. It should be recognised, however, that subsequent investigations using more sophisticated statistical analysis may assist in the interpretation of results. 2

8 2 Methodology A summary of the methodology of particular relevance to this report is provided below. Additional details, including the full interview questionnaire, can be found in the EFUS 211 Methodology report. The EFUS 211 interview survey was undertaken by interviewers from GfK NOP between December 21 and April 211. A total of 2,616 interviews were completed, drawn from a sample of addresses provided from the first three quarters of the 21/11 English Housing Survey (EHS). A further stage of the EFUS was the collection of consumption data from meter readings. For each household an initial meter reading (taken during the period April to September 21) and a final meter reading (taken during the period February to November 212) were obtained. Further detailed information on the EFUS 211 methodology, and the production of meter reading data, can be found in the EFUS 211 Methodology Report. In order to obtain a final set of cases for reporting, a validation process was applied to the meter readings from all sources. Cases with a missing first or second reading were removed (1,162 cases) and the remaining data were inspected to decide on the validity of their consumption data, including day and night rates of electricity where applicable. Cases were dropped (19 cases) where the consumption was implausibly high or produced a negative figure, although in a number of cases the data could be consolidated and retained where there was clear evidence for the source of the discrepancy, e.g. a negative value resulting from a meter passing through 9999 during the consumption period. This process was assisted by comparison with the Meter Point (MPAN/MPRN) data held by DECC. Following this validation, a complete set of initial and final electricity meter readings was obtained for 1,345 cases (51% of total EFUS sample). Of these, 1,197 cases had a mains gas supply and produced valid gas consumption values (89% of the meter reading sample, and 45% of the total EFUS sample). This dataset covered a range of consumption periods from around 15 months to around 3 months, depending on the date of the original EHS survey and meter reading and the source of the second reading. The final dataset required annual consumption figures for each case in which seasonal differences in energy use were accounted for. For example, if two cases covering 15 months with a 12 month overlap returned the same consumption, but one had the additional three months in summer and the other the additional three months in winter, then a direct comparison would not be possible. A simple seasonal annualisation was achieved by calculating the cumulative number of degree days for the whole consumption period of each case and for a core 12 month period (15 th November 21 to 14 th November 211) covering all the cases, finding the ratio of the degree day totals and finally multiplying each consumption figure for the full period by this ratio 2. This includes a very cold period in December 21, which acts to raise consumption of the EFUS data when compared to other estimates which do not include this month (e.g. the Digest of UK Energy Statistics data for 211). No weather correction of the data (i.e. to adjust to a typical year s weather ) was 2 Numerous alternatives to the degree day adjustment described are possible. However, testing of the effect of some alternatives suggests that the median consumptions of groups are not strongly influenced by the choice of approach. 3

9 carried out. See the EFUS Methodology Report for further details of the seasonal annualisation method. 2.1 Weighting factors Weighting factors specific to the sample of 1,345 households that had valid initial and final electricity meter readings were derived using logistic regression based on the profile of respondents for the GOR, tenure, dwelling type and working status of household. The results presented in this report are therefore representative of the English housing stock, with a population of 21.9 million households. Although the objective of the weighting factor is to provide totals that can be interpreted at the national level, readers should be aware that there may remain some uncorrected bias in the data (e.g. if the households that had valid meter readings differ from the population in a way that is not visible to the weighting procedure). 4

10 3 Findings Below are the key headline findings from the meter reading data recorded as part of the EFUS survey. Note that all average gas consumptions apply only to those dwellings with a gas meter (a sample of 1,197 cases) while average electricity consumption is calculated on the whole sample (1,345 cases). 3.1 Average consumption values The meter reading data reveal a wide range in energy consumption across the household stock. For gas, consumption values range from a minimum of 3 kwh and a maximum of 76,5 kwh. As can be seen from the histogram in Figure 1, there is considerable tailing of values towards the higher consumption values which results in a mean annualised gas consumption for all households of 16,2 kwh 3 but a median value of 14, kwh. For the electricity consumption data, the consumption values range from a minimum of 4 kwh and a maximum of 35,1 kwh and, as is seen with the gas consumption, the frequency distribution (Figure 2) shows considerable tailing towards the higher electricity consumption values which results in a mean annualised electricity consumption for all households of 4,9 kwh but a median value of 3,7 kwh. In order to give a reasonable comparison across categories within typical dwelling and household groups, the report will use the median values throughout. These headline figures compare well with DECC s National Energy Efficiency Data-Framework (NEED) 29 and 21 summary analysis 4 and Powering the Nation from EST 5, which focuses on electricity consumption. The NEED report quotes median values of 14, kwh for gas and 3,5 kwh for electricity, while Powering the Nation uses a mean, rather than a median, of 3,638 kwh, although the latter report excludes from its sample dwellings that use electricity for heating. The EFUS mean consumption, however, is higher than that reported by the Energy Consumption in the UK 6 for 211. However, these differences can largely be explained through the different periods covered by these datasets, and in particular the inclusion of the cold December 21 in the EFUS data. If households using electricity as their main heating fuel (6% of households) are excluded from the EFUS analysis, the mean electricity consumption is 4,7 kwh (down from 4,9 kwh for all households) but the median consumption remains the same as for all households at 3,7 kwh. Some households also use electric heaters to provide secondary heating, either as an alternative to the main heating system (12% of all households) or supplementary to it (22% of all households) (see the EFUS 211 Secondary Heating report). It should also be noted that there are a small percentage of dwellings (1.8%, sample size=21) with a mains gas supply that do not use it as the primary heating fuel. The analysis that follows was undertaken with the objective of giving an overview of household consumption values for the whole stock further work is required to provide household consumption values split by the primary and secondary heating characteristics. 3 All consumption estimates are rounded to the nearest 1 kwh

11 Figure 1: Distribution of annual gas consumption % of dwellings with gas Gas consumption (2 kwh bands) Base: All dwellings with gas in EFUS 211 meter reading sample (n=1197) Figure 2: Distribution of annual electricity consumption 25 % of dwellings with electricity Electricity consumption (1 kwh bands) Base: All dwellings in EFUS 211 meter reading sample (n=1345) 6

12 Table 1 shows the range of consumption values within each decile band 7 for gas and electricity. It can be seen that approximately 8% of households use between 5,9 to 28, kwh of gas per annum and between 1,8 and 8,8 kwh of electricity per annum. Table 1: Range of gas consumption for each decile band Range of gas consumption in band (kwh) Range of electricity consumption in band (kwh) 1st decile (lowest) 25-5,8 4-1,8 2nd decile 5,9-8,6 1,8-2,2 3rd decile 8,6-1,3 2,2-2,7 4th decile 1,3-12,5 2,7-3,2 5th decile 12,5-14, 3,2-3,7 6th decile 14, - 16,1 3,7-4,3 7th decile 16,1-18,5 4,3-5, 8th decile 18,5-21,5 5,-6,2 9th decile 21,6-28, 6,2-8,8 1th decile (highest) 28, - 76,5 8,8-35,1 Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) 3.2 Variation in household consumption patterns by dwelling characteristics It is of interest to energy efficiency policymakers to investigate whether energy consumption varies for different household and dwelling groups. Characteristics relating to the physical properties of the dwelling, (e.g. dwelling age and type, location and level of insulation,) have been examined and Table 2 shows the median gas and electricity consumptions and 95% confidence intervals 8 of the median consumption across a range of dwelling groups. The 95% confidence intervals show the significance of the differences across categories. Also shown are boxplots showing the median, the interquartile range (box) and the 1 th and 9 th percentile (extent of the whiskers). These boxplots provide an indication of the variability found within each category, although as per the objectives of this report, the discussion is limited to an analysis of the differences in median values. Detailed descriptions of the variables used or derived from the EHS and EFUS data can be found in the Glossary. 7 the consumption values were divided into 1 bands with equal number of households. Raw sample sizes are 117 cases in the top 1% of gas consumers and 129 cases in the top 1% of electricity consumers. 8 95% confidence intervals around a median value have been calculated following the method described by McGill et al, 1978 using a Design Factor of 1.1. See the Methodology Report for further details. 7

13 Table 2: (and 95% confidence intervals) gas and electricity consumption across various dwelling groups Dwelling characteristic Characteristic category Sample size Annual Gas consumption (kwh) 95% CI of the median Sample size Annual Electricity consumption (kwh) 95% CI of the median Dwelling type End terrace ,4 (121, 148) 146 3,8 (33, 42) Mid terrace ,9 (118, 14) 223 3,4 (31, 37) Semi detached ,5 (146, 163) 387 4, (37, 43) Detached ,5 (182, 27) 255 4,6 (43, 5) Bungalow ,1 (12, 142) 141 2,9 (26, 32) Flat 15 8,8 (78, 98) 193 2,8 (25, 31) Dwelling type House or bungalow ,9 (144, 155) ,9 (37, 4) Flat 15 8,8 (78, 98) 193 2,8 (25, 31) Dwelling Age Pre ,3 (125, 16) 26 4, (36, 45) ,1 (16, 183) 232 4,1 (38, 44) ,1 (122, 14) 326 3,6 (33, 39) ,2 (131, 153) 21 3,4 (3, 37) ,1 (93, 129) 92 3,2 (28, 37) ,7 (119, 156) 18 3,4 (29, 39) Post ,3 (18, 137) 171 4, (37, 44) Useable floor area Region - EHS order Urban or rural location? Type of heating system < 5 m ,7 (77, 97) 133 2,5 (21, 29) 5 to 69 m ,5 (98, 113) 292 2,9 (27, 32) 7 to 89 m ,6 (129, 143) 396 3,5 (33, 38) 9 to 19 m ,6 (146, 167) 199 4, (37, 43) 11 to 139 m ,3 (177, 28) 154 4,3 (4, 46) 14 m ,5 (217, 253) 171 5,5 (5, 6) North East 91 15,5 (138, 171) 98 3,5 (29, 4) North West 29 15,2 (139, 166) 219 3,7 (34, 41) Yorkshire and the ,9 (146, 172) 183 3,6 (33, 39) Humber East Midlands 81 15, (131, 169) 95 3,9 (34, 44) West Midlands ,9 (122, 156) 128 4,2 (37, 47) East 13 13,3 (118, 148) 158 3,2 (29, 36) London 12 13,6 (116, 155) 134 3,5 (3, 4) South East ,7 (126, 149) 183 4, (36, 44) South West 113 1,2 (88, 115) 147 3,8 (33, 43) Urban , (134, 145) 129 3,6 (35, 38) Rural 63 14,4 (121, 167) 136 4,8 (42, 53) Central Heating ,2 (137, 147) ,7 (35, 38) Non-Central 25 3,9 (19, 59) 89 6,2 (52, 73) Heating Main fuel Mains gas ,1 (136, 146) ,6 (35, 37) Electricity 14 3,5 (2, 67) 78 6,7 (56, 77) Other (bott./bulk 7 2,5 (, 69) 89 4,5 (38, 52) gas,solid,oil,comml) Are the walls of Insulated ,5 (128, 142) 648 3,6 (34, 38) the dwelling Not insulated 63 14,4 (137, 152) 697 3,8 (36, 4) insulated? Loft insulation <5mm 63 14,4 (114, 175) 75 3,7 (31, 43) 5-149mm ,3 (145, 162) 525 4, (38, 42) 15+ mm 56 14, (132, 148) 611 3,7 (35, 39) Is dwelling fully Yes ,6 (13, 141) 138 3,7 (35, 38) double glazed? No ,7 (154, 18) 37 4, (37, 43) Dwelling All 3 insulation ,3 (113, 133) 253 3,5 (32, 37) insulation measures 2 insulation meas ,7 (139, 155) 43 3,8 (35, 4) 1 insulation meas ,3 (143, 163) 48 4, (38, 42) No insulation meas ,3 (144, 182) 147 4,2 (37, 47) 8

14 Energy efficiency (SAP9) rating less than 3 15 *7,6 *(4, 147) 35 *5,6 *(41, 71) 3 to ,3 (151, 175) 293 3,9 (36, 42) 51 to , (134, 146) 92 3,8 (36, 39) more than ,8 (76, 11) 115 2,7 (23, 31) Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) *sample responses are very small and subject to large sampling errors Consumption by dwelling type Table 2 and Figure 3 show the median consumption values for different types of dwellings. Households living in detached dwellings have significantly higher median consumption for both gas and electricity compared to any other dwelling type; conversely, households living in flats have significantly lower median consumption of both fuels compared to other dwelling types (with the exception of bungalows). Clearly, dwelling size is a key driver of the consumption pattern. Flats have a median consumption less than half that of detached houses (8,8 kwh and 19,5 kwh respectively). This pattern matches that reported in the NEED 21 report, with a median of 19,3 kwh for detached houses and 8,1 kwh for flats. The median electricity consumption for flats is close to that of bungalows, despite flats being significantly smaller on average. One possible explanation for this is the high proportion of electric heating found particularly in purpose built flats, with around 22% of flats using electricity for space heating compared with 6% of bungalows. Figure 3: Boxplots of household gas and electricity consumption values by dwelling type Gas consumption kwh per year 4, 35, 3, 25, 2, 15, 1, 5, End terrace Mid terrace Semi Detached Bungalow detached Flat Electricity consumption kwh per year 12, 1, 8, 6, 4, 2, End terrace Mid terrace Semi DetachedBungalow detached Flat Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) 9

15 3.2.2 Consumption by dwelling age It may be expected that fuel consumption would gradually decrease as the construction date of a dwelling becomes more recent due to improvements in energy efficiency standards, but Figure 4 shows a more complex picture. Households living in dwellings built between 1919 and 1944 show a significantly higher median gas consumption than those from other periods with a median of 17,1 kwh per year, a pattern that is also seen in the NEED 21 report. These households also have a higher median electricity consumption than households living in dwellings built between 1965 and 198. Figure 4: Boxplots of household gas and electricity consumption values by dwelling construction date Gas consumption kwh per year 4, 35, 3, 25, 2, 15, 1, 5, Electricity consumption kwh per year 12, 1, 8, 6, 4, 2, Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) Consumption by floor area Consumption of both fuels is strongly correlated with dwelling floor area (Figure 3). For gas, the median consumption for each successive floor area band is significantly higher than the previous band, whereas for electricity, the differences are not as distinct although the median consumption in dwellings greater than 14m 2 is significantly higher than all smaller dwellings and the median consumption in the smallest dwellings (<5m 2 ) is significantly lower than in dwellings larger than 7m 2. 1

16 Figure 5: Boxplots of household gas and electricity consumption values by floor area Gas consumption kwh per year 45, 4, 35, 3, 25, 2, 15, 1, 5, less than 5 sqm 5 to 69 sqm 7 to 89 sqm 9 to to sqm sqm sqm or more Electricity consumption kwh per year 16, 14, 12, 1, 8, 6, 4, 2, less than 5 sqm 5 to 69 sqm 7 to 89 sqm 9 to 19 sqm 11 to 139 sqm 14 sqm or more Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) Consumption by region and area type gas consumption is lower in the South West compared to all other regions. This result was also seen in the NEED 21 data where it was suggested that reasons may be due to warmer weather in the South-West or different types of properties. Further work to weather-correct the gas consumption values may be necessary before drawing any conclusions about the regional variations in gas consumption. electricity consumption is higher in the West Midlands compared to the Eastern region. There is no statistically significant difference in the median gas consumption between rural and urban areas. However, median electricity consumption is significantly higher in rural areas compared to urban areas, likely to be due to the large number of dwellings here without a gas supply. In these properties, in addition to lights and appliances, electricity is likely to be used either the main heating fuel or as a secondary fuel to an oil or solid fuel supply. 11

17 Figure 6: Boxplots of household gas and electricity consumption values by area type Gas consumption kwh per year 35, 3, 25, 2, 15, 1, 5, Urban Rural Electricity consumption kwh per year 14, 12, 1, 8, 6, 4, 2, Urban Rural Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) Consumption by energy performance It may be expected that the measured fuel consumption is affected by the energy efficiency of the homes. Figure 7 presents an indicator of how energy consumption varies with levels of wall insulation, loft insulation and presence of double glazing the dwelling. The results are also presented in Table 2 above. Statistical uncertainty affects the conclusions that can be drawn from these results, with confidence intervals overlapping between estimates of consumption of different groups. There are no significant differences in the median consumption of either gas or electricity between dwellings with or without wall insulation, nor in dwellings with differing levels of loft insulation. However, dwellings that are fully double glazed have median gas consumptions that are lower than those dwellings which are not fully double glazed. The data has also been analysed according to the number of these measures each dwelling has. There is some evidence of lower median gas consumption with increasing levels of different insulation measures, although the only statistically significant difference can be seen between those dwellings with all the insulation measures having both lower gas and electricity consumption than dwellings with no insulation measures. In terms of gas consumption, the effect of the presence of good insulation on space heating is demonstrated by the 4, kwh difference between the medians for dwellings with none of the 12

18 measures and those with all three (although other occupancy and dwelling differences between all households will also have an effect in addition to insulation characteristics). Figure 7: Boxplots of household gas and electricity consumption values for different levels of insulation Gas consumption kwh per year 4, 35, 3, 25, 2, 15, 1, 5, All 3 insulation measures 2 insulation measures 1 insulation measure No insulation measures Electricity consumption kwh per year 12, 1, 8, 6, 4, 2, All 3 insulation measures 2 insulation measures 1 insulation measure No insulation measures Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) Energy efficiency can also be considered by examining the SAP rating of different households, shown in Figure 8 and also presented in Table 2 above, with dwellings with higher SAP ratings being more energy efficient. The dwellings with the lowest median gas consumption are in the most energy efficient SAP rating band (>7) with increasing levels of consumption in dwellings as SAP ratings decrease. While building fabric efficiency is a factor in reducing fuel use in higher SAP rated dwellings, the dwelling type also contributes, with 59% of dwellings in the highest SAP band being flats and only 7% being detached houses. Large heat losses from detached houses help to contribute to lower SAP ratings. 13

19 Figure 8 Boxplots of household gas and electricity consumption values by SAP rating Gas consumption kwh per year Electricity consumption kwh per year 35, 3, 25, 2, 15, 1, 5, 12, 1, 8, 6, 4, 2, less than 3 3 to 5 51 to 7 more than 7 less than 3 3 to 5 51 to 7 more than 7 Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) *Sample responses for the <3 category are very small and subject to large sampling errors 3.3 Household consumption patterns Characteristics relating to the households living within the dwellings (e.g. pensioner present, household income level, tenure) have also been examined for differences in their median consumption levels. Table 3 shows the median (and 95% confidence intervals 7 of the median) consumption across a range of household groups. The 95% confidence intervals show the significance of the differences across categories. As in the previous section, boxplots are also shown to provide an indication of the variability found within each category and detailed descriptions of the variables used or derived from the EHS and EFUS data can be found in the Glossary. 14

20 Table 3: (and 95% confidence intervals) gas and electricity consumption across various household groups Household characteristic Characteristic category Sample size Annual Gas consumption (kwh) 95% CI of the median Annual Electricity consumption (kwh) Sample 95% CI of the size median Tenure Owner Occupied ,7 (151, 164) 862 4, (38, 42) Private rented , (92, 127) 144 3,2 (28, 35) Local Authority 16 1,1 (91, 11) 176 3,1 (28, 34) RSL ,3 (12, 125) 163 3,5 (31, 4) Household size Pensioner Present? ,5 (97, 112) 352 2,4 (22, 25) ,6 (137, 155) 514 3,6 (34, 38) ,6 (143, 17) 225 4,4 (4, 47) ,1 (158, 185) 167 4,7 (43, 51) 5 or more 81 17,8 (158, 197) 87 6, (53, 66) At least one person ,1 (132, 15) 553 3,2 (3, 34) of pensionable age No persons of ,9 (132, 145) 792 4, (38, 42) pensionable age At least one child ,8 (149, 168) 387 4,5 (42, 48) No children ,5 (129, 141) 958 3,3 (32, 35) Children Present? Age of HRP ,8 (16, 131) 152 3,2 (28, 36) ,9 (129, 15) 234 4,2 (38, 45) ,3 (14, 166) 257 4,6 (42, 5) ,4 (13, 158) 28 3,8 (35, 41) ,3 (13, 156) 26 3,3 (3, 35) 75 or more ,4 (12, 148) 162 2,7 (24, 31) Employment status of HRP and partner combined Annual gross income of the HRP and partner weighted quintiles Is anyone in the household at home during the day on a weekday? Underoccupying? In Fuel Poverty? LIHC definition 1 or more work full ,7 (14, 154) 646 4,1 (39, 44) time 1 or more work part 17 13,9 (12, 157) 116 3,7 (32, 41) time none working, one ,7 (128, 146) 448 2,9 (27, 31) or more retired none working and none retired 118 1,8 (9, 126) 135 3,6 (31, 41) 1st quintile (lowest) 241 1,2 (91, 112) 291 2,7 (25, 3) 2nd quintile 26 13,4 (125, 143) 285 3,3 (3, 36) 3rd quintile ,7 (116, 138) 254 3,5 (32, 38) 4th quintile ,2 (15, 173) 25 4,2 (39, 45) 5th quintile ,8 (166, 19) 265 4,6 (42, 49) (highest) No ,8 (13, 146) 514 3,8 (36, 41) Yes ,2 (136, 149) 831 3,7 (35, 38) Not underoccupying ,3 (128, 139) 867 3,8 (36, 39) Under-occupying ,9 (148, 17) 478 3,7 (34, 39) Not in fuel poverty ,8 (133, 144) ,7 (36, 39) In fuel poverty 9 16,7 (14, 194) 111 3,8 (3, 46) Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) Consumption by tenure On average, owner occupiers consume significantly more gas than any other tenure and more electricity than the private rented or local authority tenures (see Figure 9). For both fuels, the 15

21 private rented, local authority and RSL tenures show no significant differences in their median annual consumption rates. Figure 9: Boxplots of household gas and electricity consumption values by tenure Gas consumption kwh per year 35, 3, 25, 2, 15, 1, 5, Owner Occupied Private rented Local Authority RSL Electricity consumption kwh per year 12, 1, 8, 6, 4, 2, Owner Occupied Private rentedlocal Authority RSL Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) Consumption by household size Household size has a strong influence on fuel consumption as suggested in Figure 1. consumption of both gas and electricity increases as the number of occupants grows, with median gas consumption ranging from 1,5 kwh in a one person household to 17,8 kwh in households where there are at least 5 people and median electricity consumption ranging from 2,4 kwh to 6, kwh in single person to 5+ persons households. However for both fuels, the difference in consumption between households with 3 or 4 persons is not statistically significant at the 95% level, nor, for gas consumption only, between households with 3, 4 or 5+ persons. 16

22 Figure 1: Boxplots of household gas and electricity consumption values by household size Gas consumption kwh per year Electricity consumption kwh per year 4, 35, 3, 25, 2, 15, 1, 5, 14, 12, 1, 8, 6, 4, 2, or more or more Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) Consumption by household type The median consumption values for mains gas and electricity for households with and without a pensioner present and households with and without a child present are shown in Figure 11. For gas, there is no significant difference in the median consumption of households with or without a pensioner present, however for electricity the median consumption is lower in households with at least one pensioner present compared to households with no pensioners present. For households with at least one child present, the median consumptions of both gas and electricity are higher than in households with at least one child present compared to households without any children. 17

23 Figure 11: Boxplots of household gas and electricity consumption values by pensioner present and children present Gas consumption kwh per year 35, 3, 25, 2, 15, 1, 5, At least one person of pensionable age No persons of pensionable age At least one child No children Electricity consumption kwh per year 12, 1, 8, 6, 4, 2, At least one person of pensionable age No persons of pensionable age At least one child No children Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) Consumption by age of household reference person (HRP) Figure 12 shows the median consumption based on the age of the household reference person (HRP). Households in which the HRP is between years old have a statistically significantly higher median gas consumption than households in which the HRP is between years old; none of the differences between other age groups are statistically significant for median gas consumption. For electricity consumption, the median use by households in which the HRP is aged between years old is higher than all other age groups except households in which the HRP is aged between years old. 18

24 Figure 12: Boxplots of household gas and electricity consumption values by the age of the household reference person Gas consumption kwh per year Electricity consumption kwh per year 35, 3, 25, 2, 15, 1, 5, 14, 12, 1, 8, 6, 4, 2, or more or more Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) Consumption by household employment status and income gas consumption is statistically significantly lower for households in which occupants are long-term sick and/or unemployed compared to households in which one or more persons are either working full time or are retired. electricity consumption is lower in households in which none of the occupants are working but one or more is retired compared to any of the other employment categories. The consumption patterns by household income quintile are shown in Figure 13. gas consumption is lower for households in the lowest income quintile compared to households in all other income quintiles with around 7,5 kwh separating the median gas consumption in the highest and lowest income quintiles. Households with incomes in the top two income quintiles also have a statistically higher median gas consumption than households in the first three income quintiles however there are no significant differences between median gas consumptions in households in quintile two compared to three, and quintiles four compared to five. In fact, a discrepancy in the pattern is shown by a fall in median gas consumption values between the second and third quintiles. Initial analysis suggests that this may be due to the higher proportion of single person households in full time work in the third quintile compared to the second. These households typically occupy smaller dwellings and therefore have a lower gas consumption. Multivariate analysis would be required to investigate this further. 19

25 The median electricity consumption increases as the income quintiles increase, however the difference is only statistically significant between the first income quintile and the top three income quintiles. The trend of higher use of both gas and electricity and higher incomes is what might be expected when considering the larger size of dwelling that might typically be associated with high incomes and the ability to afford higher fuel bills. In fact, the consequence of high income households living in larger homes can be seen by comparing Figure 13 with Figure 14. Here consumption has been normalised to the floor area of each dwelling, resulting in a fairly uniform median annual consumption of both fuels across the income quintiles. Figure 13: Boxplots of household gas and electricity consumption values by income quintiles Gas consumption kwh per year 4, 35, 3, 25, 2, 15, 1, 5, 1st quintile (lowest) 2nd quintile 3rd quintile 4th quintile 5th quintile (highest) Electricity consumption kwh per year 12, 1, 8, 6, 4, 2, 1st quintile 2nd quintile3rd quintile 4th quintile 5th quintile (lowest) (highest) Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) 2

26 Figure 14: consumption values per m 2 of dwelling floor area by income quintiles kwh per year per m st quintile (lowest) 2nd quintile 3rd quintile 4th quintile 5th quintile (highest) Income quintiles Gas consumption per m² Electric consumption per m² Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) Consumption by occupancy characteristics Table 3 shows that there are no significant differences in the median consumption values of either gas or electricity between households in which someone is in during the day and households in which no-one is in during the day. There is, however a difference in the median gas consumption for households which are considered to be under-occupied compared to those not under-occupying, as shown in Figure 15. There is a difference of around 2,5 kwh for median gas consumption values. The higher figure for those under-occupying is indicative of the extra space heating used by these households in typically much larger dwellings. The mean floor area for an under-occupied dwelling is 127m 2 compared with 76m 2 for those not under-occupying. There is no significant difference in the median electricity consumption between households under-occupying or not. 21

27 Figure 15: Boxplots of household gas and electricity consumption values by under-occupation indicator Gas consumption kwh per year 4, 35, 3, 25, 2, 15, 1, 5, Not underoccupying Underoccupying Electricity consumption kwh per year 1, 9, 8, 7, 6, 5, 4, 3, 2, 1, Not underoccupying Underoccupying Base: All households in the metered consumption sub-sample (n=1197 for gas; n=1345 for electricity) 22

28 4 Conclusions The results of the analysis of fuel consumption from a subset of 1,345 dwellings of the EFUS 211 are presented in this report. The report presents analysis at the headline level, revealing key patterns in energy consumption across the stock. The main findings of the analysis are: The meter reading data reveal a wide range in energy consumption across the household stock. For gas, annualised consumption values ranged from a minimum of 3 kwh and a maximum of 76,5 kwh. For electricity, annualised consumption values ranged from a minimum of 4 kwh and a maximum of 35,1 kwh. For both fuels, the frequency distributions show considerable tailing towards the higher electricity consumption values, resulting in mean values that are considerably higher than the median values. The median annual mains gas consumption determined using the EFUS meter reading data is around 14, kwh, with a median value of around 3,7 kwh for electricity. 8% of households use between 5,9 to 28, kwh of gas per annum and between 1,8 and 8,8 kwh of electricity per annum. Significant differences are found in the median consumption levels for different categories of dwelling and household types. Gas use is closely linked to dwelling floor area as well as household size, with detached houses having a median gas consumption more than twice that found in flats. Electricity use appears related to the number of people in the household, with the data showing a median consumption of around 2,4 kwh for single people, compared with a figure of around 6, kwh where there are at least five people in the household. Households living in dwellings built between 1919 and 1944 show a significantly higher median gas consumption than those from other periods with a median of 17,1 kwh per year, a pattern that is also seen in the NEED 21 analysis. These households also have a higher median electricity consumption than households living in dwellings built betwen1965 and 198. There is no statistically significant difference in the median gas consumption of households living in rural or urban areas. However, median electricity consumption is significantly higher in households in rural areas compared to urban areas, likely to be due to the large number of dwellings here without a gas supply. In these properties, in addition to lights and appliances, electricity is likely to be used either the main heating fuel or as a secondary fuel to an oil or solid fuel supply. There are no significant differences in the median consumption of either gas or electricity between households living in dwellings with or without wall insulation, nor between households living in dwellings with differing levels of loft insulation. However, households living in dwellings that are fully double glazed have median gas consumptions that are lower than those households living in dwellings which are not fully double glazed. There is some evidence of lower median gas consumption with increasing levels of different insulation measures, although the only statistically significant difference can be seen between those 23

29 households living in well insulated dwellings (three insulation measures) having both lower gas and electricity consumption than households living in poorly insulated dwellings. On average, owner occupiers consume significantly more gas than any other tenure and more electricity than the private rented or local authority tenures. For both fuels, the private rented, local authority and RSL tenures show no significant differences in their median annual consumption rates. gas consumption is lower for households in the lowest income quintile compared to households in all other income quintiles with around 7,5 kwh separating the median gas consumption in the highest and lowest income quintiles. The median electricity consumption increases as the income quintiles increase, however the difference is only statistically significant between the first income quintile and the top three income quintiles. The trend of higher use of both gas and electricity and higher incomes is what might be expected when considering the larger size of dwelling that might typically be associated with high incomes and the ability to afford higher fuel bills and in fact, similar median values are found for all income groups when the consumption is normalised for floor area. There are no significant differences in the median consumption values of either gas or electricity between households in which someone is in during the day and households in which no-one is in during the day. In dwellings where the household is said to be underoccupying, those that are excessive in size for the number of occupants, the median gas consumption is significantly higher than where they are not under-occupying. This report has provided an overview of gas and electricity consumption across the housing stock. More specific analysis of high energy using households is presented in Annex A. Further analysis of how consumption varies by main heating system type and how households typically use them, and household underspending can be found in the EFUS 211 Main Heating Systems and EFUS 211 Household Underspend reports. 24

30 Annex A: Focus on High Energy Users Executive Summary This annex includes analysis which combines the information obtained from the household interview survey and the temperature monitoring data in order to investigate if certain types of households are more likely to be high energy consumers. For the purposes of this analysis, high gas consumers have been defined as those households with metered gas consumptions in the top 1% of weighted values obtained during the survey; the same has been done for high electricity consumers using the electricity consumption values. Analysis is based on the meter reading sub-sample weighted to the national level, using a weighting factor specific to the meter reading sub-sample. The results presented in this report are therefore representative of the English housing stock, with a population of 21.9 million households. The results from the EFUS survey show that households in the top 1% of gas consumers are all in dwellings using mains gas as their primary heating fuel and therefore it is the factors influencing the energy required for space heating that are of primary interest for gas consumption. It has previously been reported that dwelling size appears to be the strongest driver of energy consumption (DECC, 212). The EFUS data corroborates the trend that on average, higher gas consumptions were largely associated with larger dwelling floor areas whilst providing additional evidence to show that other factors must also play a role. For electricity consumption, apart from those households with electric main heating systems, electricity use is predominantly for lights and appliances and therefore usage is additionally influenced by the number of persons in the household (higher consumptions arising from larger household numbers). In order to try to understand any secondary influences outside of these major drivers, this analysis by dwelling and household characteristics has considered high users in terms of those households in the top 1% of weighted values of total gas consumption and total electricity consumption, as well as those households in the top 1% of weighted values of gas consumption per m 2 and electricity consumption per person. The results show that the two approaches (total versus normalised) reveal variations in the percentage of high consumers within the dwelling and household categories and that it is the analysis by the gas per m 2 and electricity per person consumptions that are most helpful in assessing the potential determinants of high energy use. In terms of gas consumption, the results suggest that the strongest determinants for households having the highest (total) gas consumptions are likely to be: Dwelling type, dwelling age, floor area, tenure, household size, age of HRP, household income quintiles and under-occupancy status. However, the underlying influence of floor area for some of these characteristics is clearly the key driver as many of the differences in the percentage of high (total) gas consumers across the categories within these characteristics disappear when the analysis is carried out on the gas consumption/m 2. 25

Report 6: Conservatories

Report 6: Conservatories Report 6: Conservatories Prepared by BRE on behalf of the Department of Energy and Climate Change December 2013 BRE report number 287473 The EFUS has been undertaken by BRE on behalf of the Department

More information

Energy Use in Homes. A series of reports on domestic energy use in England. Fuel Consumption

Energy Use in Homes. A series of reports on domestic energy use in England. Fuel Consumption Energy Use in Homes A series of reports on domestic energy use in England Fuel Consumption Energy Use in Homes A series of reports on domestic energy use in England Fuel Consumption This is one of a series

More information

English Housing Survey Headline Report 2014-15

English Housing Survey Headline Report 2014-15 English Housing Survey Headline Report 214-15 Contents Introduction and main findings Section 1: Households Section 2: Housing stock Technical notes and glossary Introduction and main findings 1. English

More information

Understanding High Use Low Income Energy Consumers

Understanding High Use Low Income Energy Consumers Centre for Sustainable Energy Understanding High Use Low Income Energy Consumers Final report to Ofgem November 2010 Prepared by Vicki White, with Simon Roberts and Ian Preston 3 St Peter s Court Bedminster

More information

The role of energy bill modelling in mortgage affordability calculations

The role of energy bill modelling in mortgage affordability calculations AUGUST 2015 Richard Griffiths, UK-GBC and Ian Hamilton & Gesche Huebner, UCL Energy Institute The role of energy bill modelling in mortgage affordability calculations CAMPAIGN FOR A SUSTAINABLE BUILT ENVIRONMENT

More information

English Housing Survey HOUSEHOLDS 2010-11

English Housing Survey HOUSEHOLDS 2010-11 English Housing Survey HOUSEHOLDS 2010-11 The United Kingdom Statistics Authority has designated these statistics as National Statistics, in accordance with the Statistics and Registration Service Act

More information

Low Carbon Domestic Refurbishment

Low Carbon Domestic Refurbishment www.breeam.com Briefing Paper Low Carbon Domestic Refurbishment Kiruthiga Balson, Gavin Summerson and Steven Stenlund 2 BRE Global Ltd 2014 Permission is granted for this report to be distributed only

More information

Energy usage in households with Solar PV installations

Energy usage in households with Solar PV installations Energy usage in households with Solar PV installations Background The National Energy Efficiency Data-Framework (NEED) is produced and published by DECC to provide detailed information on annual electricity

More information

main heating: pre1998 ducted warm air system main heating fuel: mains gas main heating SAP efficiency: 70.0% main heating controls: programmer

main heating: pre1998 ducted warm air system main heating fuel: mains gas main heating SAP efficiency: 70.0% main heating controls: programmer Archetype: 3250330 Archetype Description: 1965-1975, semi / end terraced dwelling, timber frame walls, oil / gas / electric warm air heating, E This archetype represents 823 dwellings, which accounts for

More information

Chapter 1 Smoke alarms and fire safety measures in the home

Chapter 1 Smoke alarms and fire safety measures in the home Chapter 1 Smoke alarms and fire safety measures in the home Smoke alarms and other fire safety equipment that are correctly installed and maintained, play a vital role in reducing fire deaths and injuries

More information

Poverty among ethnic groups

Poverty among ethnic groups Poverty among ethnic groups how and why does it differ? Peter Kenway and Guy Palmer, New Policy Institute www.jrf.org.uk Contents Introduction and summary 3 1 Poverty rates by ethnic group 9 1 In low income

More information

Bridgend County Borough Council

Bridgend County Borough Council Bridgend County Borough Council Executive Summary December 2009 Page i Executive Summary Background S1 This document summarises the findings of a comprehensive Private Sector House Stock Condition survey

More information

Energy Performance Certificate

Energy Performance Certificate Energy Performance Certificate 14, Clifton Road, Anfield, LIVERPOOL, L6 4BQ Dwelling type: Groundfloor flat Date of assessment: 27 January 2009 Date of certificate: 27 January 2009 Reference number: 21389078626951619080

More information

English Housing Survey Headline Report 2013-14

English Housing Survey Headline Report 2013-14 English Housing Survey Headline Report 2013-14 The United Kingdom Statistics Authority has designated these statistics as National Statistics, in accordance with the Statistics and Registration Service

More information

2. Incidence, prevalence and duration of breastfeeding

2. Incidence, prevalence and duration of breastfeeding 2. Incidence, prevalence and duration of breastfeeding Key Findings Mothers in the UK are breastfeeding their babies for longer with one in three mothers still breastfeeding at six months in 2010 compared

More information

GREEN DEAL Saving money by understanding the Energy Agenda. Dave Princep BSc LLB MCIEH

GREEN DEAL Saving money by understanding the Energy Agenda. Dave Princep BSc LLB MCIEH GREEN DEAL Saving money by understanding the Energy Agenda Dave Princep BSc LLB MCIEH Energy Efficiency Energy Efficiency What a difference a years makes! Energy Efficiency 2010 Energy Efficiency 2011

More information

Child Obesity and Socioeconomic Status

Child Obesity and Socioeconomic Status NOO data factsheet Child Obesity and Socioeconomic Status September 2012 Key points There are significant inequalities in obesity prevalence for children, both girls and boys, and across different age

More information

Income Tax Liabilities Statistics 2012-13 to 2014-15

Income Tax Liabilities Statistics 2012-13 to 2014-15 Coverage: United Kingdom Theme: The Economy Released: 13 February 2015 Next Release: May 2015 Frequency of release: Twice yearly (Jan/Feb and Apr/May) Income Tax Liabilities Statistics 2012-13 to 2014-15

More information

Energy Performance Certificate

Energy Performance Certificate Energy Performance Certificate Flat 3 Dwelling type: Mid-floor flat 30, Brunswick Square Date of assessment: 23 September 2008 HOVE Date of certificate: 23 September 2008 BN3 1ED Reference number: 8398-6021-5510-4127-8022

More information

(92 plus) (81-91) (69-80) (55-68) (39-54) (21-38) (1-20)

(92 plus) (81-91) (69-80) (55-68) (39-54) (21-38) (1-20) Energy Performance Certificate Georgia House Stud Bradley Road Burrough Green NEWMARKET CB8 9NH Dwelling type: Detached house Date of assessment: 17 August 2011 Date of certificate: 17 August 2011 Reference

More information

Welcome to a warmer home. You could qualify for: www.ieservices.org.uk. Your guide to a gas supply and central heating system

Welcome to a warmer home. You could qualify for: www.ieservices.org.uk. Your guide to a gas supply and central heating system Welcome to a warmer home Your guide to a gas supply and central heating system You could qualify for: Up to 2,404 towards the cost of connecting gas to your home Up to 1,300 towards new gas central heating

More information

Number of Fuel poor households

Number of Fuel poor households Fuel poverty According to the Department of Energy and Climate Change (DECC) a fuel poor household is one that cannot afford to keep adequately warm at reasonable cost. Adequate standards for warmth are

More information

UK application rates by country, region, constituency, sex, age and background. (2015 cycle, January deadline)

UK application rates by country, region, constituency, sex, age and background. (2015 cycle, January deadline) UK application rates by country, region, constituency, sex, age and background () UCAS Analysis and Research 30 January 2015 Key findings JANUARY DEADLINE APPLICATION RATES PROVIDE THE FIRST RELIABLE INDICATION

More information

Financial capability and saving: Evidence from the British Household Panel Survey

Financial capability and saving: Evidence from the British Household Panel Survey CRS02 NOVEMBER 2010 Financial capability and saving: Evidence from the British Household Panel Survey About the Consumer Financial Education Body The Consumer Financial Education Body (CFEB) is an independent

More information

2008 Private Sector Stock Condition Survey

2008 Private Sector Stock Condition Survey www.islington.gov.uk 2008 Private Sector Stock Condition Survey A comprehensive review of private housing in Islington In partnership with Fordham Research Executive Summary Table of Contents Executive

More information

Energy efficiency and excess winter deaths: Comparing the UK and Sweden

Energy efficiency and excess winter deaths: Comparing the UK and Sweden Westgate House 2a Prebend Street London N1 8PT 020 7359 8000 sarah@ukace.org Energy efficiency and excess winter deaths: Comparing the UK and Sweden November 2013 1 Introduction David Cameron pledged in

More information

Energy Performance Certificate

Energy Performance Certificate Energy Performance Certificate Flat 2 Bagshot House Redhill Street LONDON NW1 4BY Dwelling type: Date of assessment: Date of certificate: Reference number: Total floor area: Ground-floor flat 09 April

More information

Technical Paper E1 (a) Energy Consumption in Cornwall. Cornwall Council January 2012. N.B. This is a live document that will be updated.

Technical Paper E1 (a) Energy Consumption in Cornwall. Cornwall Council January 2012. N.B. This is a live document that will be updated. Technical Paper E1 (a) Energy Consumption in Cornwall Cornwall Council January 2012 N.B. This is a live document that will be updated. 1 2 Technical Paper E1 (a) Energy Consumption in Cornwall Contents

More information

Energy Performance Certificate

Energy Performance Certificate Energy Performance Certificate 0 Raleigh Drive CULLOMPTON EX15 1FZ Dwelling type: Date of assessment: Date of certificate: Reference number: Type of assessment: Total floor area: Semi detached house 09

More information

Energy Performance Certificate

Energy Performance Certificate Energy Performance Certificate Flat 307 Windsor House Cumberland Market LONDON NW1 4DE Dwelling type: Date of assessment: Date of certificate: Reference number: Total floor area: Mid-floor flat 8361-6824-6900-7049-8026

More information

4. Comparison with DECC (2014) Estimated impacts of energy and climate change policies on energy prices and bills

4. Comparison with DECC (2014) Estimated impacts of energy and climate change policies on energy prices and bills Energy prices and bills - supplementary tables Contents: 1. Energy prices and bills 2. Assumptions 3. Scenarios to 2030 4. Comparison with DECC (2014) Estimated impacts of energy and climate change policies

More information

Domestic Energy Prices: Data sources and methodology

Domestic Energy Prices: Data sources and methodology Domestic Energy Prices: Data sources and methodology 1. Introduction 1.1 Background Domestic Energy Prices Statistics Domestic price statistics provide important information for monitoring the energy market.

More information

Article: Main results from the Wealth and Assets Survey: July 2012 to June 2014

Article: Main results from the Wealth and Assets Survey: July 2012 to June 2014 Article: Main results from the Wealth and Assets Survey: July 2012 to June 2014 Coverage: GB Date: 18 December 2015 Geographical Area: Region Theme: Economy Main points In July 2012 to June 2014: aggregate

More information

Top-down and Bottom-up evaluation of government policies on fuel poverty March 2015

Top-down and Bottom-up evaluation of government policies on fuel poverty March 2015 Top-down and Bottom-up evaluation of government policies on fuel poverty March 2015 This research was made possible thanks to a grant from the Chesshire Lehmann Fund. 1 Executive Summary This report evaluates

More information

English Housing Survey Housing stock report 2008

English Housing Survey Housing stock report 2008 English Housing Survey Housing stock report 2008 English Housing Survey Housing stock report 2008 October 2010 Department for Communities and Local Government Department for Communities and Local Government

More information

Disability Rights Commission Disability Briefing June 2005

Disability Rights Commission Disability Briefing June 2005 Disability Rights Commission Disability Briefing June 2005 Contents Page Introduction 1 Definitions of disability used in the LFS 2 Some Key Facts and Figures 3 Section 1: Autumn 2004 Data 5 Table 1: Economic

More information

Cabinet Sub Group - Performance Board

Cabinet Sub Group - Performance Board Cabinet Sub Group - Performance Board Part 1 1 November 2012 Item No 4 Subject Purpose Author Ward Summary Fuel Poverty To provide Performance Board with an outline of what constitutes Fuel Poverty and

More information

Bachelor s graduates who pursue further postsecondary education

Bachelor s graduates who pursue further postsecondary education Bachelor s graduates who pursue further postsecondary education Introduction George Butlin Senior Research Analyst Family and Labour Studies Division Telephone: (613) 951-2997 Fax: (613) 951-6765 E-mail:

More information

The relationship between mental wellbeing and financial management among older people

The relationship between mental wellbeing and financial management among older people The relationship between mental wellbeing and financial management among older people An analysis using the third wave of Understanding Society January 2014 www.pfrc.bris.ac.uk www.ilcuk.org.uk A working

More information

Is an air source heat pump the right choice for my home? Important information and key things to consider before installing an air source heat pump

Is an air source heat pump the right choice for my home? Important information and key things to consider before installing an air source heat pump Is an air source heat pump the right choice for my home? Important information and key things to consider before installing an air source heat pump The basics... This guide can help you make an informed

More information

Energy Consumption in the UK (2015)

Energy Consumption in the UK (2015) Energy Consumption in the UK (2015) Chapter 5: Service sector energy consumption in the UK between 1970 and 2014 30 July 2015 1 ECUK (2015) Chapter 5: Service sector energy consumption Energy Consumption

More information

Using Street Surveys to Establish Air Conditioning Incidence in UK s Commercial Offices Stock

Using Street Surveys to Establish Air Conditioning Incidence in UK s Commercial Offices Stock Using Street Surveys to Establish Air Conditioning Incidence in UK s Commercial Offices Stock Jorge Caeiro, Hector Altamirano-Medina, Harry Bruhns Bartlett School of Graduate Studies, University College

More information

Consultation paper: A strategy to define and prevent the disconnection of vulnerable customers

Consultation paper: A strategy to define and prevent the disconnection of vulnerable customers Consultation paper: A strategy to define and prevent the disconnection of vulnerable customers In recent months disconnection and, in particular, disconnection of vulnerable customers has become a high

More information

Twinning «Improvement of the Energy Efficiency in Turkey»

Twinning «Improvement of the Energy Efficiency in Turkey» Twinning «Improvement of the Energy Efficiency in Turkey» SECTOR BUILDING WORKSHOP Thermal Rehabilitation of Existing Buildings and Energy Building Code Residential energy efficiency overview in Ankara:

More information

ONS Methodology Working Paper Series No 6. Analysing low electricity consumption using DECC data

ONS Methodology Working Paper Series No 6. Analysing low electricity consumption using DECC data ONS Methodology Working Paper Series No 6 Analysing low electricity consumption using DECC data Karen Gask and Susan Williams October 2015 1. Introduction Low electricity consumption in a home over a period

More information

Fuel Poverty: 2014 update

Fuel Poverty: 2014 update Westgate House 2a Prebend Street London N1 8PT 020 7359 8000 pedro@ukace.org Fuel Poverty: 2014 update 1 Introduction In early 2013, ACE Research and the Energy Bill Revolution published a fact-file on

More information

Scenario analysis of Carbon Trade for Energy Efficient Renovations of. Operation Manual (take Beijing as an example)

Scenario analysis of Carbon Trade for Energy Efficient Renovations of. Operation Manual (take Beijing as an example) Scenario analysis of Carbon Trade for Operation Manual (take Beijing as an example) 1 st step: choose cities Choose the target city in the list ranked by energy consumption demand. As shown in Fig. 1,

More information

Extra help where it is needed: a new Energy Company Obligation

Extra help where it is needed: a new Energy Company Obligation Extra help where it is needed: a new Energy Company Obligation May 2011 The content of this paper is subject to the consultation outcome Contents 1 Our objectives for the ECO 1.1 Householder support: Lower

More information

Childcare and early years survey of parents 2014 to 2015

Childcare and early years survey of parents 2014 to 2015 Childcare and early years survey of parents 2014 to 2015 March 2016 Tom Huskinson, Sylvie Hobden, Dominic Oliver, Jennifer Keyes, Mandy Littlewood, Julia Pye, and Sarah Tipping Contents Executive Summary...

More information

Background material A United Kingdom Domestic Carbon Model (UKDCM) Description, method and analysis

Background material A United Kingdom Domestic Carbon Model (UKDCM) Description, method and analysis 40% House Project Background material A United Kingdom Domestic Carbon Model (UKDCM) Description, method and analysis 1. Introduction This document describes the main components of the computer-based UK

More information

SMID The Smart Meter Installation Dataset

SMID The Smart Meter Installation Dataset SMID The Smart Meter Installation Dataset 1 2 ElectraLink ElectraLink is an energy industry owned, client focused organisation that operates at the heart of the UK energy industry, with unique access to

More information

Published by the Stationery Office, Dublin, Ireland.

Published by the Stationery Office, Dublin, Ireland. An Phríomh-Oifig Staidrimh Central Statistics Office Published by the Stationery Office, Dublin, Ireland. Available from the: Central Statistics Office, Information Section, Skehard Road, Cork. Prn A12/0296

More information

Energy Performance Certificates (EPCs) and renting homes: A landlord s guide

Energy Performance Certificates (EPCs) and renting homes: A landlord s guide Energy Performance Certificates (EPCs) and renting homes: A landlord s guide From 1 October 2008 landlords are required to provide an Energy Performance Certificate when they rent out a home. An Energy

More information

EU Life+ Project: Combining Water and Energy Efficiency. A report by the Energy Saving Trust and Waterwise UK.

EU Life+ Project: Combining Water and Energy Efficiency. A report by the Energy Saving Trust and Waterwise UK. : Combining Water and Energy Efficiency A report by the Energy Saving Trust and Waterwise UK. Combining Water and Energy Effi ciency Water in the home External to household Overview The EU Life+ RENEW

More information

Carbon Dioxide Emission Savings Potential of Household Water Use Reduction in the UK

Carbon Dioxide Emission Savings Potential of Household Water Use Reduction in the UK Vol. 2, No. 1 Journal of Sustainable Development 36 Carbon Dioxide Emission Savings Potential of Household Water Use Reduction in the UK M.J. Hackett & N.F. Gray (Corresponding author) Centre for the Environment,

More information

Public perceptions of the Removal of the Spare Room Subsidy (RSRS)

Public perceptions of the Removal of the Spare Room Subsidy (RSRS) Public perceptions of the Removal of the Spare Room Subsidy (RSRS) November 2013 Public perceptions of the Removal of the Spare Room Subsidy (RSRS) A report of research carried out by the Department for

More information

RESEARCH. Poor Prescriptions. Poverty and Access to Community Health Services. Richard Layte, Anne Nolan and Brian Nolan.

RESEARCH. Poor Prescriptions. Poverty and Access to Community Health Services. Richard Layte, Anne Nolan and Brian Nolan. RESEARCH Poor Prescriptions Poverty and Access to Community Health Services Richard Layte, Anne Nolan and Brian Nolan Executive Summary Poor Prescriptions Poor Prescriptions Poverty and Access to Community

More information

Sub-national electricity consumption statistics

Sub-national electricity consumption statistics Sub-national electricity consumption statistics Regional and local authority level statistics (2012 data) December 2013 Sub-national electricity consumption statistics Regional and local authority level

More information

Public and Private Sector Earnings - March 2014

Public and Private Sector Earnings - March 2014 Public and Private Sector Earnings - March 2014 Coverage: UK Date: 10 March 2014 Geographical Area: Region Theme: Labour Market Theme: Government Key Points Average pay levels vary between the public and

More information

Private Sector Employment Indicator, Quarter 1 2015 (February 2015 to April 2015)

Private Sector Employment Indicator, Quarter 1 2015 (February 2015 to April 2015) STATISTICAL RELEASE Date: 14 July 2015 Status: Experimental Official Statistics Coverage: England; Regions Private Sector Employment Indicator, Quarter 1 2015 (February 2015 to April 2015) 1. Introduction

More information

2015 IBB Housing Market Report

2015 IBB Housing Market Report 2015 IBB Housing Market Report Summary www.ibb.de Foreword 1 Foreword Berlin s housing market still has enormous challenges to face. Demographic change has a strong hold on the market. As migration continues

More information

Non Domestic energy consumption 2013 Kent Local Authorities (Previously Industrial & Commercial energy use)

Non Domestic energy consumption 2013 Kent Local Authorities (Previously Industrial & Commercial energy use) [Business Intelligence Statistical Bulletin June 2015 Non Domestic energy consumption 2013 Kent Local Authorities (Previously Industrial & Commercial energy use) Related documents Domestic energy consumption

More information

1. Introduction. 2. Background

1. Introduction. 2. Background Comparative Domestic Cost of Gas v Oil Report May 2013 1 1. Introduction The cost of energy remains a key concern for consumers; since 2009 the average annual price of home heating oil (oil) has increased

More information

qwertyuiopasdfghjklzxcvbnmq ertyuiopasdfghjklzxcvbnmqwer tyuiopasdfghjklzxcvbnmqwerty uiopasdfghjklzxcvbnmqwertyui

qwertyuiopasdfghjklzxcvbnmq ertyuiopasdfghjklzxcvbnmqwer tyuiopasdfghjklzxcvbnmqwerty uiopasdfghjklzxcvbnmqwertyui qwertyuiopasdfghjklzxcvbnmq wertyuiopasdfghjklzxcvbnmqw ertyuiopasdfghjklzxcvbnmqwer tyuiopasdfghjklzxcvbnmqwerty Home Energy Efficiency and Affordable Warmth Strategy uiopasdfghjklzxcvbnmqwertyui Keeping

More information

The value of apprenticeships: Beyond wages

The value of apprenticeships: Beyond wages The value of apprenticeships: Beyond wages NIDA BROUGHTON June 2016 There is strong political commitment to the apprenticeships programme as a part of the strategy to achieve a high quality workforce that

More information

Statistical Bulletin. The Effects of Taxes and Benefits on Household Income, 2011/12. Key points

Statistical Bulletin. The Effects of Taxes and Benefits on Household Income, 2011/12. Key points Statistical Bulletin The Effects of Taxes and Benefits on Household Income, 2011/12 Coverage: UK Date: 10 July 2013 Geographical Area: UK and GB Theme: Economy Theme: People and Places Key points There

More information

Four of the twelve Kent districts (Dartford, Gravesham, Shepway and Thanet were below the National average (4,099 kwh) for electricity

Four of the twelve Kent districts (Dartford, Gravesham, Shepway and Thanet were below the National average (4,099 kwh) for electricity [Business Intelligence Statistical Bulletin June 2015 Domestic energy consumption 2013 Kent Local Authorities Related documents Non domestic energy consumption Dwelling stock Climate Change Act Environmental

More information

Workplace Pension Reform: Multiple Jobholders

Workplace Pension Reform: Multiple Jobholders Workplace Pension Reform: Multiple Jobholders July 2013 1 Introduction The analysis presented in this paper is intended to support the passage of the 2013-14 Pensions Bill through Parliament. It provides

More information

Module 2: Introduction to Quantitative Data Analysis

Module 2: Introduction to Quantitative Data Analysis Module 2: Introduction to Quantitative Data Analysis Contents Antony Fielding 1 University of Birmingham & Centre for Multilevel Modelling Rebecca Pillinger Centre for Multilevel Modelling Introduction...

More information

Quantifying the energy and carbon effects of water saving summary report

Quantifying the energy and carbon effects of water saving summary report Quantifying the energy and carbon effects of water saving summary report Domestic water use in the UK is around 150 litres per person per day. Taking water from the environment, treating it, distributing

More information

Benchmarking Residential Energy Use

Benchmarking Residential Energy Use Benchmarking Residential Energy Use Michael MacDonald, Oak Ridge National Laboratory Sherry Livengood, Oak Ridge National Laboratory ABSTRACT Interest in rating the real-life energy performance of buildings

More information

Making heating systems efficient and cost-effective: boilers, heating controls & more

Making heating systems efficient and cost-effective: boilers, heating controls & more Making heating systems efficient and cost-effective: boilers, heating controls & more WHAT WE USE ENERGY FOR IN OUR HOMES DECC Energy Consumption in the UK, 2010: Table 3.3 Heating building & hot water

More information

Estevan Student and Market Rental Housing Project. Assessment Report

Estevan Student and Market Rental Housing Project. Assessment Report Estevan Student and Market Rental Housing Project Assessment Report This Estevan Student and Market Rental Housing Project Assessment has been prepared by Preferred Choice (DJ Leier Enterprises Ltd.) with

More information

Directorate for Sustainable Communities. Private Sector Housing Strategy 2010-2015

Directorate for Sustainable Communities. Private Sector Housing Strategy 2010-2015 Directorate for Sustainable Communities Private Sector Housing Strategy 2010-2015 Contents Foreword 1 Overview 2 Section 1 Introduction 3 Section 2 Stock and demographic profile 5 Section 3 Condition of

More information

Analysing Questionnaires using Minitab (for SPSS queries contact -) Graham.Currell@uwe.ac.uk

Analysing Questionnaires using Minitab (for SPSS queries contact -) Graham.Currell@uwe.ac.uk Analysing Questionnaires using Minitab (for SPSS queries contact -) Graham.Currell@uwe.ac.uk Structure As a starting point it is useful to consider a basic questionnaire as containing three main sections:

More information

Energy Company Obligation (ECO): Technical Monitoring Questions

Energy Company Obligation (ECO): Technical Monitoring Questions Energy Company Obligation (ECO) Technical Monitoring Questions v1 30/05/2013 Energy Company Obligation (ECO): Technical Monitoring Questions Under ECO suppliers are required to instruct suitably qualified

More information

Housing Research Summary

Housing Research Summary HRS 1/05 February 2005 Housing Research Summary Social housing rents in Wales Background The Centre for Housing and Planning Research at Cambridge University was commissioned by the Welsh Assembly Government

More information

Child Benefit, Child Tax Credit and Working Tax Credit. Take-up rates 2012-13

Child Benefit, Child Tax Credit and Working Tax Credit. Take-up rates 2012-13 HM REVENUE & CUSTOMS KAI Benefits and Credits Child Benefit, Child Tax Credit and Working Tax Credit Take-up rates 2012-13 Crown Copyright 2014 For general enquiries relating to tax credits, including

More information

BIS RESEARCH PAPER NO. 152. National Careers Service: Satisfaction and Progression surveys: Annual report (April 2012- March 2013 fieldwork)

BIS RESEARCH PAPER NO. 152. National Careers Service: Satisfaction and Progression surveys: Annual report (April 2012- March 2013 fieldwork) BIS RESEARCH PAPER NO. 152 National Careers Service: Satisfaction and Progression surveys: Annual report (April 2012- March 2013 fieldwork) NOVEMBER 2013 1 The views expressed in this report are the authors

More information

Penwithick Green Deal Pilot project: Final report

Penwithick Green Deal Pilot project: Final report Penwithick Green Deal Pilot project: Final report Prepared for: Cornwall Council & The BRE Trust Date: 25 th February 2014 Report Number: 278 621 BRE Wales & South West Ethos Kings Road Swansea Waterfront

More information

A guide to the compilation of Registers of Scotland statistics

A guide to the compilation of Registers of Scotland statistics A guide to the compilation of Registers of Scotland statistics Contents 1. Introduction and background... 1 1.1 UK House Price Index... 1 1.2 Quarterly statistical release... 2 2. Administrative procedures

More information

RESEARCH HIGHLIGHT. Performance Assessment of a Cold-Climate Air Source Heat Pump

RESEARCH HIGHLIGHT. Performance Assessment of a Cold-Climate Air Source Heat Pump RESEARCH HIGHLIGHT December 2014 Technical Series 14-102 Performance Assessment of a Cold-Climate Air Source Heat Pump INTRODUCTION Most Canadians are familiar with air source heat pump technology in the

More information

2016 ERCOT System Planning Long-Term Hourly Peak Demand and Energy Forecast December 31, 2015

2016 ERCOT System Planning Long-Term Hourly Peak Demand and Energy Forecast December 31, 2015 2016 ERCOT System Planning Long-Term Hourly Peak Demand and Energy Forecast December 31, 2015 2015 Electric Reliability Council of Texas, Inc. All rights reserved. Long-Term Hourly Peak Demand and Energy

More information

Your guide to the Energy Company Obligation (ECO) How we can make it work for you. A5_ECOguide_AW.indd 2 24/10/2012 16:04

Your guide to the Energy Company Obligation (ECO) How we can make it work for you. A5_ECOguide_AW.indd 2 24/10/2012 16:04 Your guide to the Energy Company Obligation (ECO) How we can make it work for you A5_ECOguide_AW.indd 2 24/10/2012 16:04 Energy Company Obligation guide 2 Your ECO Partner The current Carbon Emissions

More information

Chapter Seven. Multiple regression An introduction to multiple regression Performing a multiple regression on SPSS

Chapter Seven. Multiple regression An introduction to multiple regression Performing a multiple regression on SPSS Chapter Seven Multiple regression An introduction to multiple regression Performing a multiple regression on SPSS Section : An introduction to multiple regression WHAT IS MULTIPLE REGRESSION? Multiple

More information

Solar for social housing

Solar for social housing Solar for social housing The solar opportunity for social housing Energy costs are going up across the board. Average households are now spending over 5% of their income on energy. The Office of National

More information

CRIDE report on 2012 survey on educational provision for deaf children in England

CRIDE report on 2012 survey on educational provision for deaf children in England INTRODUCTION CRIDE report on 2012 survey on educational provision for deaf children in England In 2012, the Consortium for Research into Deaf Education (CRIDE) carried out its second annual survey on educational

More information

UK Energy Statistics

UK Energy Statistics PRESS NOTICE Reference: 2014/016 STATISTICAL PRESS RELEASE Date: 27 March 2014 UK Energy Statistics Energy Trends and Quarterly Energy Prices publications are published today 27 March 2014 by the Department

More information

Alternatives for the Residential Energy Consumption Baseline

Alternatives for the Residential Energy Consumption Baseline Alternatives for the Residential Energy Consumption Baseline Executive Summary. Should the baseline for energy consumption in the Northeast Neighborhoods development area be changed from the current citywide

More information

Fylde Coast Strategic Housing Market Assessment - Summary. April 2008

Fylde Coast Strategic Housing Market Assessment - Summary. April 2008 Fylde Coast Strategic Housing Market Assessment - Summary April 2008 Why undertake a Strategic Housing Market Assessment? The Fylde Coast Strategic Housing Market Assessment (SHMA) has been undertaken

More information

Households Below Average Income. An analysis of the income distribution 1994/95 2012/13 July 2014 (United Kingdom)

Households Below Average Income. An analysis of the income distribution 1994/95 2012/13 July 2014 (United Kingdom) Households Below Average Income An analysis of the income distribution 1994/95 2012/13 July 2014 (United Kingdom) Households Below Average Income An analysis of the income distribution 1994/95 2012/13

More information

Information Guide Domestic Air Source Heat Pumps

Information Guide Domestic Air Source Heat Pumps Information Guide Domestic Air Source Heat Pumps Issue 41 Domestic Air Source Heat Pumps This is an independent guide produced by Mitsubishi Electric to enhance the knowledge of its customers and provide

More information

Improving the energy efficiency of our buildings

Improving the energy efficiency of our buildings Improving the energy efficiency of our buildings A guide to energy performance certificates for the marketing, sale and let of dwellings April 2014 Department for Communities and Local Government Crown

More information

National Child Measurement Programme: England, 2011/12 school year

National Child Measurement Programme: England, 2011/12 school year National Child Measurement Programme: England, 2011/12 school year December 2012 Copyright 2012, The Health and Social Care Information Centre. All Rights Reserved. www.ic.nhs.uk Author: The Health and

More information

The Effects Of Fuel Poverty. Pauline Sandell Fuel Poverty Advisor

The Effects Of Fuel Poverty. Pauline Sandell Fuel Poverty Advisor The Effects Of Fuel Poverty Pauline Sandell Fuel Poverty Advisor Who we are Centre for Sustainable Energy Set up 1979 Over 45 staff Energy Saving Trust Advice Line Funded by the Energy Saving Trust Free,

More information

Greenhouse gas emissions in Winchester District: Part IV Estimates and trends (2005-2012)

Greenhouse gas emissions in Winchester District: Part IV Estimates and trends (2005-2012) Greenhouse gas emissions in Winchester District: Part IV Estimates and trends (2005-2012) A summary Bob Whitmarsh Winchester Action on Climate Change (WinACC) (September 2014) Introduction This is the

More information

MIDDLESBROUGH HECA PROGRESS REPORT 2015

MIDDLESBROUGH HECA PROGRESS REPORT 2015 MIDDLESBROUGH HECA PROGRESS REPORT 2015 March 2015 INTRODUCTION MIDDLESBROUGH HOME ENERGY CONSERVATION ACT (HECA) PROGRESS REPORT 2015 Middlesbrough s HECA Further (First) Report 2013 was published on

More information

Refurbishment Mas Thibert / Arles

Refurbishment Mas Thibert / Arles Refurbishment Mas Thibert / Arles Gonzague Descoqs 13 Habitat 10th october 2012, Steering Committee, Malaga 13 Habitat, short presentation Social housing organisation, based in Marseille Around 32000 dwellings

More information

Household Energy Expenditure: Measures es off Hardship & Changes in Income

Household Energy Expenditure: Measures es off Hardship & Changes in Income : Measures es off Hardship & Changes in Income By Professor or Sue Richardson Associate Professor or Peter Travers The National Institute of Labour Studies February, 2004 4 Table of Contents HOUSEHOLD

More information

Methodology for the production of Display Energy Certificates (DEC)

Methodology for the production of Display Energy Certificates (DEC) Methodology for the production of Display Energy Certificates (DEC) February 2013 2 Contents Summary 3 Section 1 Introduction 4 Section 2 Scope 6 Section 3 Applicable Conventions 8 3.1 Basis for the DEC

More information