EFUS 2011 dataset documentation

Transcription

1 UK Data Archive Study Number Energy Follow Up Survey, 2011 EFUS 2011 dataset documentation Prepared by BRE on behalf of the Department of Energy and Climate Change November 2013 BRE output 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: Michael Kay. Supporting authors and analysts: Michael 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 Table of contents 1 Introduction Overview of data format The interview data The temperature data The metered consumption data The electricity monitoring data Use of the matching file.sav lookup tables

4 1 Introduction The main aim of the 2011 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 2011 EFUS consisted of a follow-up interview survey of a sub-set of households first visited as part of the 2010/2011 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. This documentation accompanies the datasets collected by the EFUS. All users are also advised to refer to the EFUS 2011 Methodology report, and relevant topic reports, to assist in the use of the data. The EFUS 2011 collected data in four areas. These are: a) Data from the EFUS 2011 interview survey b) Data from the EFUS 2011 temperature monitoring subsample c) Data from the EFUS 2011 electricity monitoring subsample d) Data from the EFUS 2011 gas and electricity meter readings subsample The purpose of this documentation is to assist users in the appropriate use of these datasets for analysis. 1

5 2 Overview of data format The primary interview and meter reading data, and derived data from the temperature monitoring, have been produced and formatted using IBM SPSS Statistics and are available as SPSS *.sav files. The primary data from the temperature monitoring have been produced and is available in MS Excel format (*.xls), and the primary data from the electricity monitoring is produced and formatted in comma delimted variable (*.csv) format. It should be noted that users converting these data into other types of files or importing into other software packages may encounter some loss of formatting, metadata, or the loss of parts of the data itself. Each subsample of the dataset is referenced, and sorted by, its own unique identifier. These are listed in Table 1 below. To match to the different components of the survey or the EHS data 1, the matching file.sav or matching files secure.sav lookup tables are used. For details of how to use these files to match data together please see Section 7 of this report. Table 1: Unique IDs used for each dataset Component of survey Interview sample subsample Meter reading subsample Electricity monitoring subsample EHS data (secure matching file only) Unique ID interview_id temperature_id meter_id emonitor_id aacode The interview, temperature, meter reading and combined temperature and meter reading subsamples have been scaled up to represent the national population (and to correct for nonresponse) using weighting factors. The results presented in this report are therefore representative of the English housing stock, with a population of 21.9 million households. Analysis should be conducted using these factors as appropriate. Table 2 lists the relevant weighting factors for each component of the survey Table 2: Unique IDs used for each dataset Component of survey Interview sample subsample Meter reading subsample Combined temperature and meter reading subsample Weighting factor InterviewWeight Weight MeterReadWeight MeterWeight Missing values are declared within each SPSS data file. For interview sample primary and derived data and the temperature subsample derived data these are -88 (unknown) and -99 (not applicable). It should be noted that SPSS variables declared with a date data-type (e.g. on and off timings) will convert these missing values into a date format (-00:00:01). For meter reading subsample derived data missing values are declared as -1 (not applicable). Following an assessment of data disclosure risk by the Office of National Statistics, parts of the data are marked as secure and are only available for analysis under secure conditions (e.g. the Secure Data Service). 1 Matching to EHS data can only permitted under secure conditions (e.g. the Secure Data Service). 2

6 3 The interview data The 2011 EFUS interview data contains responses from 2,616 households on aspects of energy use in their homes. See the EFUS 2011 Methodology report for details of the interview survey and the questionnaire. The interview dataset consists of two types of data: a) Primary data. These correspond directly to responses from the interview survey. b) Derived data. These data have been produced through manipulation of the primary data in order to produce the 2011 EFUS topic reports. The primary data corresponds directly to the interview survey questionnaire (see Appendix A of the EFUS Methodology report for the full questionnaire). The primary data variable names match the questionnaire numbering. The questionnaire also includes the names of the data files which contain each component of the primary data. Derived data have been produced in the course of the production of the EFUS 2011 topic reports. These are provided as part of the dataset to facilitate secondary analysis of some of the most complex areas of the interview (main, alternative and supplementary ), and users are advised to use to the appropriate derived variables where available. All cases on all interview datasets are referenced by the interview survey unique identifier (interview_id). For users wishing to combine the interview data with other data (e.g. temperature data, meter reading data or EHS data), the matching file.sav or matching file secure.sav lookup tables are used. Use of these tables is described in section 7 below. When conducting analysis on the interview files, users should weight the data by the interview weighting (InterviewWeight), which can be found in the interview weight.sav file. Three interview data files are marked as secure and can only be accessed via a secure mechanism (e.g. the Secure Data Service). The secure interview data includes details on the supplier name and reported tariff of the households, and variables for users wishing to adjust the EHS base data on household age, type, income and composition, based on the EFUS responses. An overview of the interview data files is shown in Table 2 below. The derived data for each component of the survey are shown in the Tables 3 to 7 below. 3

7 Table 3: Overview of interview data files File name Summary of contents Contains primary data? Contains derived data? On public or secure dataset? Rooms.sav Reported tenure, change in household, set up Yes No Public of rooms in dwelling.sav system and use Yes Yes Public system and use No Yes Public.sav system(s) and use Yes Yes Public system(s) and use No Yes Public.sav system(s) and use Yes Yes Public system(s) and use No Yes Public MOP and tariffs.sav Switching supplier, expenditure on nonmetered Yes No Public fuels MOP and tariffs secure.sav Reported name of suppliers, reported names Yes No Secure of tariffs Over and cooling.sav Reported problems keeping warm / cool, Yes No Public reported use of cooling equipment Cooking and appliances.sav Reported ownership and use of white goods, Yes No Public cooking devices, televisions and large energy using appliance Lighting.sav Reported number, type and use of lights in Yes No Public kitchen, bedroom and living room. Lights left on overnight. Outside lighting. Hot water.sav Reported number of baths, showers. Yes No Public Frequency of washing up at sink. Use of electric immersion heaters. Conservatories.sav Ownership, use and of conservatories. Yes No Public 4

8 Dwelling improvements.sav Household information secure.sav Monitoring.sav Improvements to dwelling, likelihood to make improvements, attitudes to energy cost rise, attitudes to climate change. Information on changes in household income or circumstances since the EHS. Permission for monitoring components of survey. Yes No Public Yes Yes Secure Yes No Public 5

9 Table 4: Interview survey derived variables relating to the main system used in the dwelling Variable name Data file variable Description contained in ThermostatTempCelc.sav Thermostat setting (in C). Derived from reported data. Converted from degrees F if required. NoHrsCenHeatingMon through to NoHrsCenHeatingWkd.sav For those with a regular pattern of central use. Total number of hours central is on, on each day of the week. Derived from reported data. NoHrsBoostHeatingMon through to NoHrsBoostHeatingWkd NoHrsMainHeatingMon through to NoHrsMainHeatingWkd CHpresent MainHeatSystem MainNonRegularHeat MainWkdaysChange MainWkendChange MainHeatSeasonLgth MainHeatSeasonLgth6x MainHeatAllYear NoMainHeat.sav For those with a regular pattern of central boost use. Total number of hours central boost is on, on each day of the week. Derived from reported data. For those with a regular pattern of (non-central) main use. Total number of hours (non-central) main is on, on each day of the week. Derived from reported data. Central Heating or Non-CH system in dwelling. Derived from reported data. system type. Derived from reported data. Does a household report their home using their main system on a nonregular basis? Derived from reported data. Do the main times reported for other weekdays differ from the Monday timings? Derived from reported data. Do the main times reported for the weekend days differ from the Monday timings? Derived from reported data. Length of main season, months. Derived from reported data. Length of main season, months (6 bands). Derived from reported data. Does household have their main on daily all year round? Derived from reported data. Does household report that the home is not heated at all by the main system? Derived from reported data. 6

10 CHcontrol RegularOverride MainHrsWkday MainHrsWkdayP1 MainHrsWkdayP2 MainHrsWkdayP3plus MainHrsWkend MainHrsWkendP1 MainHrsWkendP2 MainHrsWkendP3plus MainHeatTimeWkdayP1 MainHeatTimeWkdayP2 MainHeatLgthWkdayP1 MainHeatLgthWkdayP2 MainHeatPatWkday MainheatWkendOnP1 How is the central system controlled? Derived from reported data. Does household report manually overriding their central system when it is timed to be on, on a regular (once weekly or more) basis? Derived from reported data. Total number of hours that main is reported to be on, on a Monday (used as proxy for all weekdays). Derived from reported data. Number of hours that main is reported to be on in period 1, on a Monday (used as proxy for all weekdays). Derived from reported data. Number of hours that main is reported to be on in period 2, on a Monday (used as proxy for all weekdays). Derived from reported data. Number of hours that main is reported to be on in period 3, on a Monday (used as proxy for all weekdays). Derived from reported data. Total number of hours that main is reported to be on at the weekend. Derived from reported data. Number of hours that main is reported to be on in period 1, at the weekend. Derived from reported data. Number of hours that main is reported to be on in period 2, at the weekend. Derived from reported data. Number of hours that main is reported to be on in period 3 or higher, at the weekend. Derived from reported data. Banded timing that main is reported to be on in period 1, on a weekday. Derived from reported data. Banded timing that main is reported to be on in period 2, on a weekday. Derived from reported data. Banded number of hours that main is reported to be on in period 1, on a weekday. Derived from reported data. Banded number of hours that main is reported to be on in period 2, on a weekday. Derived from reported data. pattern on weekdays. Derived from reported data. Derived from reported data. Banded timing that main is reported to be on in period 1, at the weekend. Derived from reported data. 7

11 MainHeatLgthWkendP1 MainHeatPatNonReg MainHeatPatNonRegBst MainHeatTotHrsDay MainHeatTotHrsWkday MainHeatTotHrsWkend Banded number of hours that main is reported to be on in period 1, at the weekend. Derived from reported data. Typical daily pattern for non-regular main during a week. Derived from reported data. Derived from reported data. Typical daily pattern for non-regular boost main during a week. Derived from reported data. Derived from reported data. Number of hours that main is on, including all boost, daily. Derived from reported data. Derived from reported data. Number of hours that main is on, including regular boost, weekday (regular heaters only). Derived from reported data. Number of hours that main is on, including regular boost, weekend day (regular heaters only). Derived from reported data. 8

12 Table 5: Interview survey derived variables relating to the alternative system(s) used in the dwelling Variable name NoHrsAltHeatingMon through to NoHrsAltHeatingWkd NotHeated NotHeatedSum NotHeatedPropBand NoHeater NoHeaterSum NoMain NoMainSum HeaterOffSum HeaterOff AltHeater AlternativeHeaterSum AltHeaterPropBand KitchenAltHeat Data file variable contained in Alternative.sav Description For those with a regular pattern of alternative use. Total number of hours alternative is used, on each day of the week. Does the dwelling have one or more rooms not heated using the main system (including rooms where a radiator or heater is turned off)? Derived from reported data. Number of rooms typically not heated using the main system (including rooms where a radiator or heater is turned off). Derived from reported data. Proportion of rooms not heated by main (including where a heater turned off). Derived from reported data. One or more rooms where no present in any form in room? Derived from reported data. Number of rooms where no present in any form in room. Derived from reported data. One or more rooms where no main present in room? Derived from reported data. Number of rooms where no main present in room. Derived from reported data. Number of rooms with main which are turned off. Derived from reported data. One or more rooms where main is turned off? Derived from reported data. Does the dwelling use alternative in one or more rooms? Derived from reported data. Number of rooms where the dwelling has alternative. Derived from reported data. % of rooms heated by alternative heater (4 bands). Derived from reported data. One or more Kitchens with alternative? Derived from reported data. 9

13 LivRoomAltHeat DinRoomAltHeat LivBedRoomAltHeat BedroomAltHeat BathRoomAltHeat WCAltHeat ConserAltHeat HallwayAltHeat StudyAltHeat AltElectricHeat AltGasSolidHeat AltHeat AltHeatSeasonLength AltHeatSeasonLengthB SeptemberAltHeated OctoberAltHeated One or more Living rooms with alternative? Derived from reported data. One or more Dining rooms with alternative? Derived from reported data. One or more Living/bedrooms with alternative? Derived from reported data. One or more Bedrooms with alternative? Derived from reported data. One or more Bathrooms with alternative? Derived from reported data. One or more WCs with alternative? Derived from reported data. One or more Conservatorys with alternative? Derived from reported data. One or more Hallway/landings with alternative? Derived from reported data. One or more Studys with alternative? Derived from reported data. One or more electric heaters? Derived from reported data. One or more gas/solid heaters? Derived from reported data. One or more 'alternative' heaters (inc aga/rayburn and rad from hot water)? Derived from reported data. Number of months alternative used for. Derived from reported data. Number of months alternative used for (banded). Derived from reported data. One or more rooms heated by alternative in September? Derived from reported data. One or more rooms heated by alternative in October? Derived from reported data. 10

14 NovemberAltHeated DecemberAltHeated JanuaryAltHeated FebruaryAltHeated MarchAltHeated AprilAltHeated MayAltHeated JuneAltHeated JulyAltHeated AugustAltHeated AltHeatingStart AltHeatingEnd AltRegularTimingsS AltIrregularTimingsS AltTimesWkdaysDifSum AltTimesWkendsDifSum One or more rooms heated by alternative in November? Derived from reported data. One or more rooms heated by alternative in December? Derived from reported data. One or more rooms heated by alternative in January? Derived from reported data. One or more rooms heated by alternative in February? Derived from reported data. One or more rooms heated by alternative in March? Derived from reported data. One or more rooms heated by alternative in April? Derived from reported data. One or more rooms heated by alternative in May? Derived from reported data. One or more rooms heated by alternative in June? Derived from reported data. One or more rooms heated by alternative in July? Derived from reported data. One or more rooms heated by alternative in August? Derived from reported data. Month alternative starts. Derived from reported data. Month alternative ends. Derived from reported data. One or more rooms using regular timings for alternative. Derived from reported data. One or more rooms using irregular timings for alternative. Derived from reported data. One or more rooms with different timings on weekdays. Derived from reported data. One or more rooms with different timings at weekends. Derived from reported data. 11

15 HrsWkdayRegAltMean HrsWkendRegAltMean HoursIrregAltMean NoAltHeatPeriodMonS NoAltHeatPeriodWkedS WakeupAltHeated DayTimeAltHeated HomeTimeAltHeated EveningAltHeated WakeupWkdAltHeated DayTimeWkdAltHeated HomeTimeWkdAltHeated EveningWkdAltHeated RoomsNoHeat RoomsNoHeatSum AveHoursHeatedBanded Mean number of hours (for all alt heaters) that alternative is on during a typical Monday. Derived from reported data. Mean number of hours (for all alt heaters) that alternative is on during a typical weekend. Derived from reported data. Mean number of irregular hours alternative heaters are on for during a week. Derived from reported data. Total number of heat periods is on a day during a typical Monday. Derived from reported data. Total number of heat periods is on a day during a typical weekend. Derived from reported data. Number of hours alternative is on in a week per heater banded. Derived from reported data. One or more rooms with alternative heaters on at 'wake up' time? Derived from reported data. One or more rooms with alternative heaters on at 'daytime'? Derived from reported data. One or more rooms with alternative heaters on at 'hometime'? Derived from reported data. One or more rooms with alternative heaters on at 'evening' time? Derived from reported data. One or more rooms with alternatives heaters on at 'wake up' time - weekend? Derived from reported data. One or more rooms with alternative heaters on at 'daytime' - weekend? Derived from reported data. One or more rooms with alternative heaters on at 'hometime' - weekend? Derived from reported data. One or more rooms with alternative heaters on at 'evening' time - weekend? Derived from reported data. One or more rooms where no from main or alternative system (including main turned off)? Derived from reported data. Number of rooms where no from main or alternative system (including main turned off) Derived from reported data. 12

16 RoomsNoHeatBand KitchenNotHeated LivRoomNotHeated DinRoomNotHeated LivBedroomNotHeated BedroomNotHeated BathRoomNotHeated WCNotHeated ConservNotHeated HallwayNotHeated StudyNotHeated AltRoomNotHeated NotHeatedExpensive NotHeatedRoomWarm NotHeatedRoomUnused NotHeatedNoHeating Proportion of rooms where no from main or alternative system (including main turned off) banded Derived from reported data. One or more kitchens not heated? Derived from reported data. One or more living rooms not heated? Derived from reported data. One or more dining rooms not heated? Derived from reported data. One or more living/bedrooms not heated? Derived from reported data. One or more bedrooms not heated? Derived from reported data. One or more bathrooms not heated? Derived from reported data. One or more WC's not heated? Derived from reported data. One or more conservatories not heated? Derived from reported data. One or more hallway/landings not heated? Derived from reported data. One or more studies not heated? Derived from reported data. One or more other rooms not heated? Derived from reported data. Reason for one or more rooms not heated - Too expensive? Derived from reported data. Reason for one or more rooms not heated - Room stays warm enough already? Derived from reported data. Reason for one or more rooms not heated - Room not used/hardly ever used? Derived from reported data. Reason for one or more rooms not heated - No system in place? Derived from reported data. 13

17 NotHeatedHeatingFail NotHeatedRmSmHeated NotHeatedRmSmHeater NotHeatedOtherReason Reason for one or more rooms not heated - Heating system doesn't work? Derived from reported data. Reason for one or more rooms not heated - Room too small to require? Derived from reported data. Reason for one or more rooms not heated - Room too small to fit a heater inside? Derived from reported data. Reason for one or more rooms not heated - Other Specify? Derived from reported data. 14

18 Table 6: Interview survey derived data relating to the supplementary system(s) used in the dwelling Variable name NoHrsSuppHeatingMon through to NoHrsSuppHeatingWkd SupHeaterPresent SupHeaterNumRooms SupHeaterPropRooms SupHeaterKitchen SupHeaterLivingRoom SupHeaterDiningRoom SupHeaterLivBedroom SupHeaterBedroom SupHeaterBathroom Data file variable contained in.sav Description For those with a regular pattern of supplementary use. Total number of hours alternative is used, on each day of the week. heater present in dwelling? Derived from reported data. Number of rooms with supplementary. Derived from reported data. % of rooms heated by supplementary (banded). Derived from reported data. One or more Kitchens with supplementary. Derived from reported data. One or more Living rooms with supplementary. Derived from reported data. One or more Dining rooms with supplementary. Derived from reported data. One or more Living/bedrooms with supplementary. Derived from reported data. One or more Bedrooms with supplementary. Derived from reported data. One or more Bathrooms with supplementary. Derived from reported data. 15

19 SupHeaterWC SupHeaterConserv SupHeaterHallway SupHeaterStudy SupHeaterOtherRoom SupElectHeater SupGasHeater SupSolidHeater SupOtherHeater SupHeatSeasonLength SupHeatSeasonLengthB One or more WCs with supplementary. Derived from reported data. One or more Conservatories with supplementary. Derived from reported data. One or more Hallway/landings with supplementary. Derived from reported data. One or more Studies with supplementary. Derived from reported data. One or more Other rooms with supplementary. Derived from reported data. One or more electric heaters. Derived from reported data. One or more gas heater present. Derived from reported data. One or more solid heater present. Derived from reported data. One or more 'other' heaters (inc aga/rayburn and radiator from hot water). Derived from reported data. Number of months supplementary used for. Derived from reported data. Number of months supplementary used for (banded). Derived from reported data. 16

20 SupSeptemberHeated SupOctoberHeated SupNovemberHeated SupDecemberHeated SupJanuaryHeated SupFebruaryHeated SupMarchHeated SupAprilHeated SupMayHeated SupJuneHeated SupJulyHeated One or more rooms heated by supplementary in September. Derived from reported data. One or more rooms heated by supplementary in October. Derived from reported data. One or more rooms heated by supplementary in November. Derived from reported data. One or more rooms heated by supplementary in December. Derived from reported data. One or more rooms heated by supplementary in January. Derived from reported data. One or more rooms heated by supplementary in February. Derived from reported data. One or more rooms heated by supplementary in March. Derived from reported data. One or more rooms heated by supplementary in April. Derived from reported data. One or more rooms heated by supplementary in May. Derived from reported data. One or more rooms heated by supplementary in June. Derived from reported data. One or more rooms heated by supplementary in July. Derived from reported data. 17

21 SupAugustHeated SupHeatingStart SupHeatingEnd SupRegTimingsSum SupIrregTimingsSum SupTimesWkdaysDifSum SupTimesWkendsDifSum SupHrsWkdayRegMean SupHrsWkendRegMean SupHoursIrregMean SupHoursIrregMeanB One or more rooms heated by supplementary in August. Derived from reported data. Month supplementary starts. Derived from reported data. Month supplementary ends. Derived from reported data. One or more rooms using regular timings for supplementary. Derived from reported data. One or more rooms using irregular timings for supplementary. Derived from reported data. One or more rooms with different timings on weekdays. Derived from reported data. One or more rooms with different timings at weekends. Derived from reported data. Average number of hours (for all alt heaters) that supplementary is on during a typical Monday. Derived from reported data. Average number of hours (for all alt heaters) that supplementary is on during a typical weekend. Derived from reported data. Average number of irregular hours supplementary heaters are on for during a week. Derived from reported data. Average number of irregular hours supplementary heater is used (banded). Derived from reported data. 18

22 NoSupHeatPdMonSum NoSupHeatPdWkendSum AveHoursSupHeated AveHoursSupHeatedB WakeupSupHeated DayTimeSupHeated HomeTimeSupHeated EveningSupHeated WakeupWkdSupHeated DayTimeWkdSupHeated HomeTimeWkdSupHeated Total number of periods supplementary is on a day during a typical Monday. Derived from reported data. Total number of periods supplementary is on a day during a typical weekend. Derived from reported data. Average number of hours (per heater per household) supplementary heater is used in a week. Derived from reported data. Average number of hours (per heater per household) supplementary heater is used in a week. Derived from reported data. One or more rooms with supplementary heaters on at 'wake up' time. Derived from reported data. One or more rooms with supplementary heaters on at 'daytime' time. Derived from reported data. One or more rooms with supplementary heaters on at 'hometime'. Derived from reported data. One or more rooms with supplementary heaters on at 'evening' time. Derived from reported data. One or more rooms with supplementary heaters on at 'wake up' time - weekend. Derived from reported data. One or more rooms with supplementary heaters on at 'daytime' time - weekend. Derived from reported data. One or more rooms with supplementary heaters on at 'hometime' - weekend. Derived from reported data. 19

23 EveningWkdSupHeated One or more rooms with supplementary heaters on at 'evening' time - weekend. Derived from reported data. 20

24 Table 7: Interview survey derived variables for households that have reported a change since the EHS survey Variable name HouseholdComposition HouseholdSize HouseholdEmployment HouseholdIncome AgeHRP Data file variable contained in Household information secure.sav Household information secure.sav Household information secure.sav Household information secure.sav Household information secure.sav Description Composition of household. Derived from reported data for households responding no to whether the household contains all of the same people as during the EHS 2. Can be used to adjust corresponding EHS data as required. Number of persons in household. Derived from reported data for households responding no to whether the household contains all of the same people as during the EHS. Can be used to adjust corresponding EHS data as required. Employment status of HRP and partner combined. Derived from reported data for households responding no to whether the household contains all of the same people as during the EHS. Can be used to adjust corresponding EHS data as required. Annual gross income of the HRP and partner weighted quintiles. Derived from reported data for households responding no to whether the household contains all of the same people as during the EHS. Can be used to adjust corresponding EHS data as required. Age of household reference person. Derived from reported data for households responding no to whether the household contains all of the same people as during the EHS. Can be used to adjust corresponding EHS data as required. 2 This information was obtained from Q03 of the questionnaire. 21

25 4 The temperature data The EFUS 2011 monitored temperatures over the course of approximately one year in approximately 823 dwellings. The EFUS temperature dataset consists of primary temperature data (823 data files in MS Excel format) and two SPSS data files containing derived data. The Excel data files contain the internal temperatures measured in each room in each dwelling monitored, recorded at twenty minute intervals. See the EFUS 2011 Methodology Report for more details of the temperature monitoring. There is one version of each Excel file for each dwelling in the temperature monitoring sample. Each file is labelled with the unique identifier for the temperature survey (temperature_id), and contains a time and date stamp for each interval in each room (all temperature are in C). The start and end of the data has been trimmed to exclude blank data recorded in the period before and after the loggers were installed. All times in the primary data are British Summer Time. The derived SPSS files contain: 1) Mean room temperatures (Mean room temperatures.sav) 2) data derived patterns ( ) The mean room temperature data are mean temperatures for each month, averaged from all readings returned from within that month. Variables provided are means of all days, of weekdays only and of weekend days only for each room in November 2011, December 2011 and January Adjustments to account for the change from British Summer Time were made prior to averaging of the data. More details on the calculation of mean room temperatures can be found in the EFUS 2011 Methodology Report and EFUS 2011 Mean Household s report. The patterns variables are the start and end times of, the temperatures at the beginning and end of periods, and the season as identified from the temperature data. Adjustments to account for the change from British Summer Time were made prior to the processing of these data. More details on the derivation of patterns from the temperature data can be found in the EFUS 2011 Methodology Report and EFUS 2011 Main Heating report. All cases on all temperature datasets are referenced by the interview survey unique identifier (temperature_id). For users wishing to combine the temperature data with other data (e.g. interview or meter reading data), the matching file.sav and matching file secure.sav lookup tables should be used. Use of these tables is described in section 7 below. When conducting analysis on the temperature files, users should normally weight the data by the temperature weighting variable (Weight), which can be found in the weight.sav file. When conducting analysis relevant to both temperature and meter readings, users should normally weight the data by the combined temperature and meter reading weighting variable (MeterWeight), which can be found in the meter reading weight.sav file 3. Derived temperature variables are described in Table 8 below. 3 n.b. the meter reading.sav file uses the temperature_id identifier 22

26 Table 8: survey derived variables relating to the mean room temperatures, and patterns used, in the dwelling Variable name AlldaysDec2010Livingroom to AlldaysJan2012Livingroom AlldaysDec2010Hallway to AlldaysJan2012Hallway AlldaysDec2010Bedroom to AlldaysJan2012Bedroom WeekdaysDec2010Livingroom to WeekdaysJan2012Livingroom WeekdaysDec2010Hallway to WeekdaysJan2012Hallway WeekdaysDec2010Bedroom to WeekdaysJan2012Bedroom WeekendsDec2010Livingroom to WeekendsJan2012Livingroom WeekendsDec2010Hallway to WeekendsJan2012Hallway WeekendsDec2010Bedroom to WeekendsJan2012Bedroom Nov to Janperiod1startWD Nov to Janperiod1endWD Nov to JanHP1livingroomaverageatstartWD Data file variable contained in Mean room temperatures.sav Mean room temperatures.sav Mean room temperatures.sav Mean room temperatures.sav Mean room temperatures.sav Mean room temperatures.sav Mean room temperatures.sav Mean room temperatures.sav Mean room temperatures.sav Description Mean temperature for all days in specified month in the Living room Mean temperature for all days in specified month in the Hallway Mean temperature for weekdays in specified month in the Bedroom Mean temperature for all days in specified month in the Living room Mean temperature for weekdays in specified month in the Hallway Mean temperature for weekdays in specified month in the Bedroom Mean temperature for weekend days in specified month in the Living room Mean temperature for weekend days in specified month in the Hallway Mean temperature for weekend days in specified month in the Bedroom Specified month weekday, start time of period 1 Specified month weekday, end time of period 1 Specified month weekday, mean living room temperature at the start of period 1 23

27 Nov to JanHP1hallwayaverageatstartWD Nov to JanHP1bedroomaverageatstartWD Nov to JanHP1livingroomaverageatendWD Nov to JanHP1hallwayaverageatendWD Nov to JanHP1bedroomaverageatendWD Nov to Janperiod2startWD Nov to Janperiod2endWD Nov to JanHP2livingroomaverageatstartWD Nov to JanHP2hallwayaverageatstartWD Nov to JanHP2bedroomaverageatstartWD Nov to JanHP2livingroomaverageatendWD Specified month weekday, mean hallway temperature at the start of period 1 Specified month weekday, mean bedroom temperature at the start of period 1 Specified month weekday, mean living room temperature at the end of period 1 Specified month weekday, mean hallway temperature at the end of period 1 Specified month weekday, mean bedroom temperature at the end of period 1 Specified month weekday, start time of period 2 Specified month weekday, end time of period 2 Specified month weekday, mean living room temperature at the start of period 2 Specified month weekday, mean hallway temperature at the start of period 2 Specified month weekday, mean bedroom temperature at the start of period 2 Specified month weekday, mean living room temperature at the end of period 2 24

28 Nov to JanHP2hallwayaverageatendWD Nov to JanHP2bedroomaverageatendWD Nov to Janperiod3startWD Nov to Janperiod3endWD Nov to JanHP3livingroomaverageatstartWD Nov to JanHP3hallwayaverageatstartWD Nov to JanHP3bedroomaverageatstartWD Nov to JanHP3livingroomaverageatendWD Nov to JanHP3hallwayaverageatendWD Nov to JanHP3bedroomaverageatendWD Nov to Janperiod1startWE Specified month weekday, mean hallway temperature at the end of period 2 Specified month weekday, mean bedroom temperature at the end of period 2 Specified month weekday, start time of period 3 Specified month weekday, end time of period 3 Specified month weekday, mean living room temperature at the start of period 3 Specified month weekday, mean hallway temperature at the start of period 3 Specified month weekday, mean bedroom temperature at the start of period 3 Specified month weekday, mean living room temperature at the end of period 3 Specified month weekday, mean hallway temperature at the end of period 3 Specified month weekday, mean bedroom temperature at the end of period 3 Specified month weekend, start time of period 1 25

29 Nov to Janperiod1endWE Nov to JanHP1livingroomaverageatstartWE Nov to JanHP1hallwayaverageatstartWE Nov to JanHP1bedroomaverageatstartWE Nov to JanHP1livingroomaverageatendWE Nov to JanHP1hallwayaverageatendWE Nov to JanHP1bedroomaverageatendWE Nov to Janperiod2startWE Nov to Janperiod2endWE Nov to JanHP2livingroomaverageatstartWE Nov to JanHP2hallwayaverageatstartWE Specified month weekend, end time of period 1 Specified month weekend, mean living room temperature at the start of period 1 Specified month weekend, mean hallway temperature at the start of period 1 Specified month weekend, mean bedroom temperature at the start of period 1 Specified month weekend, mean living room temperature at the end of period 1 Specified month weekend, mean hallway temperature at the end of period 1 Specified month weekend, mean bedroom temperature at the end of period 1 Specified month weekend, start time of period 2 Specified month weekend, end time of period 2 Specified month weekend, mean living room temperature at the start of period 2 Specified month weekend, mean hallway temperature at the start of period 2 26

30 Nov to JanHP2bedroomaverageatstartWE Nov to JanHP2livingroomaverageatendWE Nov to JanHP2hallwayaverageatendWE Nov to JanHP2bedroomaverageatendWE Nov to Janperiod3startWE Nov to Janperiod3endWE Nov to JanHP3livingroomaverageatstartWE Nov to JanHP3hallwayaverageatstartWE Nov to JanHP3bedroomaverageatstartWE Nov to JanHP3livingroomaverageatendWE Nov to JanHP3hallwayaverageatendWE Specified month weekend, mean bedroom temperature at the start of period 2 Specified month weekend, mean living room temperature at the end of period 2 Specified month weekend, mean hallway temperature at the end of period 2 Specified month weekend, mean bedroom temperature at the end of period 2 Specified month weekend, start time of period 3 Specified month weekend, end time of period 3 Specified month weekend, mean living room temperature at the start of period 3 Specified month weekend, mean hallway temperature at the start of period 3 Specified month weekend, mean bedroom temperature at the start of period 3 Specified month weekend, mean living room temperature at the end of period 3 Specified month weekend, mean hallway temperature at the end of period 3 27

31 Nov to JanHP3bedroomaverageatendWE Nov to Janperiod1startWE Nov to Janperiod1endWE Nov to JanHP1livingroomaverageatstartWE Nov to JanHP1hallwayaverageatstartWE Nov to JanHP1bedroomaverageatstartWE Nov to JanHP1livingroomaverageatendWE Nov to JanHP1hallwayaverageatendWE Nov to JanHP1bedroomaverageatendWE Nov to Janperiod2startWE Nov to Janperiod2endWE Specified month weekend, mean bedroom temperature at the end of period 3 Specified month weekend, start time of period 1 Specified month weekend, end time of period 1 Specified month weekend, mean living room temperature at the start of period 1 Specified month weekend, mean hallway temperature at the start of period 1 Specified month weekend, mean bedroom temperature at the start of period 1 Specified month weekend, mean living room temperature at the end of period 1 Specified month weekend, mean hallway temperature at the end of period 1 Specified month weekend, mean bedroom temperature at the end of period 1 Specified month weekend, start time of period 2 Specified month weekend, end time of period 2 28

32 Nov to JanHP2livingroomaverageatstartWE Nov to JanHP2hallwayaverageatstartWE Nov to JanHP2bedroomaverageatstartWE Nov to JanHP2livingroomaverageatendWE Nov to JanHP2hallwayaverageatendWE Nov to JanHP2bedroomaverageatendWE Nov to Janperiod3startWE Nov to Janperiod3endWE Nov to JanHP3livingroomaverageatstartWE Nov to JanHP3hallwayaverageatstartWE Nov to JanHP3bedroomaverageatstartWE Specified month weekend, mean living room temperature at the start of period 2 Specified month weekend, mean hallway temperature at the start of period 2 Specified month weekend, mean bedroom temperature at the start of period 2 Specified month weekend, mean living room temperature at the end of period 2 Specified month weekend, mean hallway temperature at the end of period 2 Specified month weekend, mean bedroom temperature at the end of period 2 Specified month weekend, start time of period 3 Specified month weekend, end time of period 3 Specified month weekend, mean living room temperature at the start of period 3 Specified month weekend, mean hallway temperature at the start of period 3 Specified month weekend, mean bedroom temperature at the start of period 3 29

33 Nov to JanHP3livingroomaverageatendWE Nov to JanHP3hallwayaverageatendWE Nov to JanHP3bedroomaverageatendWE Specified month weekend, mean living room temperature at the end of period 3 Specified month weekend, mean hallway temperature at the end of period 3 Specified month weekend, mean bedroom temperature at the end of period 3 30

34 5 The metered consumption data The EFUS meter reading dataset consists of two data files. These contain: 1) Derived total annualised gas and electricity consumption (Metered consumption.sav) 2) Gas and electricity meter readings, period between readings and derived electricity tariffs (Metered consumption secure.sav) Annualised gas and electricity consumptions provide an estimate of the total annual consumption of the meter reading cases. It is anticipated that the majority of analysts will wish to use these data. For more information on the production of annualised gas and electricity consumption please see the EFUS 2011 Methodology report and EFUS 2011 Metered fuel consumption report. Additional analysis may be required using the meter readings themselves. These are included in the Metered consumption secure.sav data file. This file also includes derived tariff information used in the EFUS 2011 Household Underspend analysis. For more information on the production of tariff data see the EFUS 2011 Household Underspend report. All cases on all metered consumption datasets are referenced by the metered consumption unique identifier (meter_id). For users wishing to combine the metered consumption data with other data (e.g. interview or the temperature data), the matching file.sav and matching file secure.sav lookup tables should be used. Use of these tables is described in section 7 below. When conducting analysis on the metered consumption files, users should weight the data by the metered consumption weight (MeterReadWeight), which can be found in the meter read weight.sav file. When conducting analysis relevant to cases with both temperature and meter readings, users should weight the data by the combined temperature and meter reading weight (MeterWeight), which can be found in the meter reading weight.sav file 4. Data derived from the meter reading are described in Table 9 below. 4 n.b. the meter reading weight.sav file uses the temperature_id identifier 31

35 Table 9: Derived metered consumption variables relating to the gas and electricity consumption and tariff of the household Variable name GasConsumption ElecConsumption FirstGasRead SecGasRead FirstGasReadOnPeak SecGasReadOnPeak FirstGasReadOffPeak SecGasReadOffPeak DurationGasCons Data file variable contained in Metered consumption.sav Metered consumption.sav Metered consumption secure.sav Metered consumption secure.sav Metered consumption secure.sav Metered consumption secure.sav Metered consumption secure.sav Metered consumption secure.sav Metered consumption secure.sav Description Annualised gas consumption (kwh). Derived from EHS and EFUS meter reading data. Annualised electricity consumption (kwh). Derived from EHS and EFUS meter reading data. First gas meter reading. Typically obtained from the EHS. Some cleaning of these data has been done by consolidating information from multiple data sources (follow-up reads, meter point data etc.). See EFUS 2011 Methodology report for more details. Second gas meter reading. Typically obtained from follow-up readings. Some cleaning of these data has been done by consolidating information from multiple data sources (follow-up reads, meter point data etc.). See EFUS 2011 Methodology report for more details of collection of metered data. First standard / on peak meter reading. Typically obtained from the EHS. Some cleaning of these data has been done by consolidating information from multiple data sources (follow-up reads, meter point data etc.). See EFUS 2011 Methodology report for more details of collection of metered data. Second standard / on peak meter reading. Typically obtained from follow-up readings. Some cleaning of these data has been done by consolidating information from multiple data sources (follow-up reads, meter point data etc.). See EFUS 2011 Methodology report for more details of collection of metered data. First off peak meter reading. Typically obtained from the EHS. Some cleaning of these data has been done by consolidating information from multiple data sources (follow-up reads, meter point data etc.). See EFUS 2011 Methodology report for more details of collection of metered data. Second off peak meter reading. Typically obtained from follow-up readings. Some cleaning of these data has been done by consolidating information from multiple data sources (follow-up reads, meter point data etc.). See EFUS 2011 Methodology report for more details of collection of metered data. Duration of gas consumption (days) between first and second reads. 32

36 DurationElecCons GasTariff ElecTariff Metered consumption secure.sav Metered consumption secure.sav Metered consumption secure.sav Duration of electricity consumption (days) between first and second reads. Gas tariff (p/kwh) (Derived from Consumer Futures April 2011 data for Underspend analysis) Electricity tariff (p/kwh) (Derived from Consumer Futures April 2011 data for Underspend analysis). Note that for household with off peak (Economy 7) electricity this single tariff is derived by assuming 55% night time usage. 33

37 6 The electricity monitoring data The EFUS 2011 monitored electricity consumption at ten-second intervals in 79 dwellings using electricity current clamps and loggers. See the EFUS 2011 Methodology report and EFUS 2011 Domestic appliances, cooking & cooling equipment report for more details. The data stored on each of the logger s memory cards has been extracted and processed to produce a set of primary data for each dwelling. The start and end of the data has been trimmed to exclude blank data recorded in the period before and after the loggers were installed. The primary data are presented as 79 folders (one for each dwelling monitored) which contain comma separated variables (*.csv) files. Each day of data is contained in each *.csv file. Each data series is identified by:- Monitor No-Year_Month_Day e.g _03_25 Where the monitor number denotes a unique household, with the numbering corresponding to the unique identifier contained in the matching file.sav and matching file secure.sav files 5. Each data file has four columns of data as shown in Table 10 below. Table 10: Format of electricity monitoring data files Column number Description Electricity monitor ID Date Time Reading (emonitor_id) Format Number MM/DD/YY HH:MM:SS Watts Example /25/11 13:11: The appropriate calibration factor (calculated for each monitor) has been applied to the Watts column. Each day recorded consists of 8,640 readings. All cases on all temperature datasets are referenced by the interview survey unique identifier (monitor_id). For users wishing to combine the monitor data with other data (e.g. interview or meter reading data), the matching file.sav and matching file secure.sav lookup tables should be used. Use of these tables is described in section 7 below. Due to the relatively few cases in this subsample, no weighting factors have been created for the electricity monitoring data. 5 Note that logger numbers within the *.csv do not contain the prefix E of the unique identifier. 34

38 7 Use of the matching file.sav lookup tables. Each subsample of the dataset is referenced, and sorted by, its own unique identifier. These are listed in Table 11 below. To allow matching of the different components of the survey, the matching file.sav and matching file secure.sav lookup tables are used. Table 11: Unique IDs used for each dataset Component of survey Interview sample subsample Meter reading subsample Electricity monitoring subsample EHS data ( matching file secure.sav only) Unique ID interview_id temperature_id meter_id emonitor_id aacode The following procedure demonstrates how to match different components of the survey together in SPSS. A similar procedure should be followed using other analysis packages (e.g. SAS, R etc). This example is for the analysis of the interview and temperature data together. The same procedure (substituting meter_id, emonitor_id, or aacode for the interview_id or temperature_id ) is followed for other combinations. a) Open the matching file.sav file. b) Sort the data in ascending order by interview_id. c) Merge in the interview data files required. Match data on key variables of interview_id. d) Sort the data in ascending order by temperature_id. e) Merge in the temperature data required. Match data on key variables of temperature_id, ensuring that the merge selects that the option that the non-active dataset (i.e. the temperature data) is selected as the keyed table to prevent duplicate key errors. f) A final (optional) step is to delete from the working dataset those cases which are not in the temperature sample to remove cases which will not be analysed. 35