This 2009 version represents the 13th iteration of the RECS program. First conducted in 1978, the Residential Energy Consumption Survey is a national sample survey that collects energy-related data for housing units occupied as a primary residence and the households that live in them. Data were collected from 12,083 households selected at random using a complex multistage, area-probability sample design. The sample represents 113.6 million U.S. households, the Census Bureau's statistical estimate for all occupied housing units in 2009 derived from their American Community Survey (ACS).

Abstract

Dataset quality **: Medium/high quality dataset, not quality checked or modified by the EIDC team

RECS measures the usage of energy in primary, occupied housing units, in 2020. This is the raw dataset measured at the household level.

It covers the following topics:

• the physical characteristics of the home (housing types, size, and age);
• the use of electronic devices and appliances;
• the use of heating and air conditioning systems;
• energy usage behaviors (frequency of usage, temperature setpoints);
• challenges associated with paying utility bills or keeping homes at healthy temperatures;
• total household energy consumption and expenditures; and
• their breakdown by energy end-use (modeled/estimated), such as by space heating, water heating, air conditioning, cooking, laundry, TV, lighting, and other end-uses.

Methodology

• **Target population: **all a) occupied housing units in b) the 50 states & DC that are used as c) primary residences.
• Sample: Homes that are occupied as a primary residence
• Excludes vacant homes, seasonal housing units, group quarters (e.g. dormitories, nursing homes, prisons, military barracks), and common areas in apartment buildings.

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• Includes housing units located on military installations.
• **Sampling method: **Unclustered sampling, Jackknife method
• **Mode of survey: **self-administered questionnarie via 1) the web or 2) mail/paper
• **Sample size: **18,496 households (72% via web questionnaire; 27.2% via paper questionnaire)
• Response rate: Unweighted, 38.6%; Weighted, 37.9%

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Usage

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• RECS is best suited for comparison across different characteristics of homes within the residential sector.

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• **RECS is **%3Cu%3E%3Cstrong%3Enot%3C/strong%3E%3C/u%3E

** appropriate for comparing EIA's other residential energy data** as the scope of RECS is limited to homes occupied as a primary residence. As a result, RECS estimates are not comparable with sector-level totals defined in other EIA datasets

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The Commercial Buildings Energy Consumption Survey (CBECS) is a national sample survey that collects information on the stock of U.S. commercial buildings, their energy-related building characteristics, and their energy consumption and expenditures. Commercial buildings include all buildings in which at least half of the floorspace is used for a purpose that is not residential, industrial, or agricultural, so they include building types that might not traditionally be considered "commercial," such as schools, correctional institutions, and buildings used for religious worship. The CBECS was first conducted in 1979; the eighth, and most recent survey, was conducted in 2003. CBECS is currently conducted on a quadrennial basis.

Facility-level industrial combustion energy use is calculated from greenhouse gas emissions data reported by large emitters (>25,000 metric tons CO2e per year) under the U.S. EPA's Greenhouse Gas Reporting Program (GHGRP, https://www.epa.gov/ghgreporting). The calculation applies EPA default emissions factors to reported fuel use by fuel type. Additional facility information is included with calculated combustion energy values, such as industry type (six-digit NAICS code), _location (lat, long, zip code, county, and state), combustion unit type, and combustion unit name. Further identification of combustion energy use is provided by calculating energy end use (e.g., conventional boiler use, co-generation/CHP use, process heating, other facility support) by manufacturing NAICS code. Manufacturing facilities are matched by their NAICS code and reported fuel type with the proportion of combustion fuel energy for each end use category identified in the 2010 Energy Information Administration Manufacturing Energy Consumption Survey (MECS, http://www.eia.gov/consumption/manufacturing/data/2010/). MECS data are adjusted to account for data that were withheld or whose end use was unspecified following the procedure described in Fox, Don B., Daniel Sutter, and Jefferson W. Tester. 2011. The Thermal Spectrum of Low-Temperature Energy Use in the United States, NY: Cornell Energy Institute.

The table RECS_Energy Used in the Home - For Any Use is part of the dataset Residential Energy Consumption Survey (RECS 2020) - State level, available at https://redivis.com/datasets/ccj5-0ms8m800p. It contains 51 rows across 12 variables.

This survey was carried out by the Asian Development Bank’s Promoting Energy Efficiency in the Pacific, phase 2 (ADB PEEP2) project. The survey objectives were to reduce data gaps regarding residential energy use in electrified urban households, and use the information to develop initiatives to assist households reduce electrical energy use without compromising the quality of services.

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

The EHS has a complex multi-stage methodology consisting of two main elements; an initial interview survey of around 12,000 households and a follow-up physical inspection. Some further elements are also periodically included in or derived from the EHS: for 2008 and 2009, a desk-based market valuation was conducted of a sub-sample of 8,000 dwellings (including vacant ones), but this was not carried out from 2010 onwards. A periodic follow-up survey of private landlords and agents (the Private Landlords Survey (PLS)) is conducted using information from the EHS interview survey. Fuel Poverty datasets are also available from 2003, created by the Department for Energy and Climate Change (DECC).

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

End User Licence and Special Licence Versions:
From 2014 data onwards, the End User Licence (EUL) versions of the EHS will only include derived variables. In addition the number of variables on the new EUL datasets has been reduced and disclosure control increased on certain remaining variables. New Special Licence versions of the EHS will be deposited later in the year, which will be of a similar nature to previous EHS EUL datasets and will include derived and raw datasets.

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

The Energy Follow Up Survey, 2011 (EFUS 2011) aims to provide detailed, up to date information on patterns of household and dwelling energy use. Within this survey, householders are asked questions about the type and usage patterns of the main and secondary heating systems in their homes, the water heating system and usage, dwelling insulation, lighting indoor temperatures and the use of appliances.

The EFUS 2011 is a follow up interview survey of a subset of households first visited as part of the English Housing Survey, 2010-2011: Household Data (EHS) (available from the UK Data Archive under SN 7040). It is possible to link the EFUS 2011 data to the EHS data by applying for access to SN 7883 - Energy Follow Up Survey, 2011: Lookup File: Secure Access. This study is subject to further access restrictions (see the https://www.ukdataservice.ac.uk/get-data/how-to-access/accesssecurelab" title="Secure Lab">Secure Lab webpages for details). The last large-scale national survey to consider the detailed use of heating systems and other sources of energy use in homes was the EFUS 1998 (not available from the UK Data Archive).

An additional sub-sample of these households was selected to have temperature loggers and electricity monitors installed. A further stage of the EFUS involved the collection of gas and electricity consumption data from meter readings. The raw meter readings data were added to the survey in November 2014, in the form of 823 separate Excel files. Previously, the study included only the summary data for the meter readings. For details of the metered energy consumption research, see Report 1: Summary of Findings, in the documentation.

For the third edition of the study (February 2016), the electricity monitoring data for the 79 households who agreed to have their electricity monitored over the course of 6-12 months (see above) were added to the study. Each subfolder represents the readings from one household (hence 79 subfolders in total). Multiple CSV files are included in the subfolders for each day of reading; the number of files vary, so may not be the same for each household. See the EFUS 2011 Dataset Documentation (p.34) for details.

Further information about EFUS can be found on the government https://www.gov.uk/government/publications/energy-follow-up-survey-efus-2011" title="Energy Follow Up Survey">Energy Follow Up Survey webpage.

Abstract

The U.S. Residential Energy Consumption Survey, administered by the U.S. Energy Information Administration (EIA), uses a nationally representative sample to collect information about home characteristics, household energy usage, and energy cost. The microdata at the household level from 2020, 2015, 2009, 2005, 2001, 1997, 1993,1990, and 1987, made available by the EIA for public use, were curated by Carnegie Mellon University Libraries to make it more accessible for data analysis.

Methodology

Survey background and technical information

Usage

• Microdata are organized by year and can be found in "Tables;"
• Years include 2020, 2015, 2009, 2005, 2001, 1997, 1993, 1990, and 1987;
• In "Files," there are 9 folders (named by year), each of which contains the codebook(s) for a given year; for a given year, the codebook is provided in one file for all variables, if the EIA made this available; for some years, the EIA uses multiple files to organize its codebook (e.g., 1997);
• For 2020, 2015, and 2009, there is a PDF file (e.g., microdata_guide_xxxx) that describes how to use the provided sample weights to calculate standard errors; for other years, similar instructions can be found via the URL of the microdata description page on the EIA's website, provided in the description field of the microdata table for a given year (e.g., 1993).

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The buildings-based component of the SCIEU collects building characteristics and energy consumption estimates by building type and by region.

The ZIP archive includes the anonymized micro-data (survey results) and the respective questionnaire from the online survey among the business enterprises in eleven countries, conducted as part of the H2020 project "Enabling the Energy Union through understanding the drivers of individual and collective energy choices in Europe" (ENABLE.EU).

The countries are: Bulgaria, France, Germany, Hungary, Italy, Norway, Poland, Serbia, Spain, Ukraine, and the United Kingdom.

The dataset consists of 215 completed and 505 uncompleted questionnaires (cases).

The ZIP archive includes the following files:

ENABLE.EU survey questionnaire for business enterprises in PDF format;

ENABLE dataset from the survey of business enterprises in SAV format for IBM SPSS;

ENABLE dataset from the survey of business enterprises in DTA format for STATA (the dataset is produced by simple export from SAV format and could contain some differences due to export limitations; If possible, we recommend to use the SAV-SPSS format);

ENABLE dataset from the survey of business enterprises in XLSX format for Microsoft Excel, which includes also corresponding tables for the labels of questions and answers.

For more information about the survey methodology and survey results please see: D3.1 Final report on comparative sociological analysis of the business enterprises' survey under the section Downloads / Deliverables at the ENABLE.EU web-site.

comprehensive datasets.

The Environment for Development Dar es Salaam Energy Survey (EFD-DES) consists of a household survey and an enterprise survey that took place from the 29th of January to the 13th of February 2020. The survey work was funded by the Swedish International Development Cooperation Agency (Sida), through the Swedish embassy in Tanzania. The primary goal of the household survey was to collect current and detailed information on the economic and socio-demographic profile of households in Dar es Salaam, with a specific focus on household energy use. In addition, the energy enterprise survey was intended to provide information on the nature of small-scale energy enterprises that sell and deliver fuels and cookstoves directly to households. The survey was conducted primarily to inform a World Bank Policy Note on the transition towards clean, affordable and sustainable household energy in Dar es Salaam. In addition, the household survey forms the baseline for a longer-term study on the impacts of a UNIDO bioethanol cookstove program in Dar es Salaam, as well as an important and current source of information to study fuel use in Dar es Salaam.
The survey was designed and implemented by a collaborative group of researchers within the Environment for Development (EfD) network, including researchers at the University of Dar es Salaam, Duke University, the University of Gothenburg and the University of Cape Town. The household survey was based on an instrument developed by researchers at Duke University Sanford School of Public Policy, that has been used in Kenya and Nepal, allowing for some cross-country comparability. In total 1100 households, containing 4,396 individuals were interviewed. In addition, 225 energy enterprises were interviewed.

The household survey questionnaire consists of a range of questions on energy, health, socio-economic status, stove use, asset ownership and intra-household dynamics. The full questionnaire is available with the survey materials. Table 1 in the attached document "Basic Information Document" (page 2) provides an overview of the structure of the household survey and gives more details about the household datasets. The EfD-DES consists of a range of data files. Each data file relates to a section of the respective questionnaire. The complete list of data files is listed in the Appendix of the attached document "Basic Information Document".

The table RECS_Annual Household Energy Consumption and Expenditure is part of the dataset Residential Energy Consumption Survey (RECS 2020) - State level, available at https://redivis.com/datasets/ccj5-0ms8m800p. It contains 51 rows across 8 variables.

These tables provide details of energy consumption and energy intensity for the Manufacturing sector as a whole, as well as for the seven most energy-consuming subsectors. They also compare energy sources used in the sector from 1995 to 2014.

227 views (2 recent) Dataset extent Map data © OpenStreetMap contributors. "The collection contains information on energy consumption and directions of its use in households, equipping households with energy-consuming devices and equipment, and other structural factors influencing the amount of consumption. The source of the data are data sets obtained as part of the statistical survey 1.44.04 The survey of fuel and energy consumption in households conducted by the President of the Central Statistical Office and the minister responsible for energy. The data is updated in December and made available by the end of the first quarter of the following year. Frequency: year."

The Building Energy Data Book (2011) is a compendium of data from a variety of data sets and includes statistics on residential and commercial building energy consumption. Data tables contain statistics related to construction, building technologies, energy consumption, and building characteristics. The Building Technologies Office (BTO) within the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy developed this resource to provide a comprehensive set of buildings- and energy-related data.

The Data Book has not been updated since 2011.

The data sets comprising the Data Book are now publicly available in user-friendly formats and you can use them to find data relevant to your questions. Please find below a list of Energy Information Administration (EIA) data sets that BTO consults:

• Annual Energy Outlook

  Projections in the Annual Energy Outlook 2015 (AEO2015) focus on the factors expected to shape U.S. energy markets through 2040.

• Monthly Energy Review

  A publication of recent and historical energy statistics.

• Residential Energy Consumption Survey (RECS)

  A nationally representative sample of housing units that specially trained interviewers collect energy characteristics, usage patterns, and household demographics.

• Commercial Buildings Energy Consumption Survey (CBECS)

  A national sample survey that collects information on the stock of U.S. commercial buildings, including their energy-related building characteristics and energy usage data.

Questions about the above resources can be directed to the relevant EIA subject matter expert.

Electricity consumption benchmarks – Survey responses matched with household consumption data for 25 households

The AER is required to update electricity consumption benchmarks (available on www.energymadeeasy.gov.au) at least every three years. The benchmarks were initially developed in 2011. The update of the benchmarks is currently being undertaken, and this is a small subset of the data. Once the study is finalised, the whole dataset will be made available via www.data.gov.au.

This data is made up of two elements:

1. Responses to a survey from 25 Victorian householders about their energy consumption (shown in the tab ‘questionnaire responses’).

2. Energy consumption data (in Watt Hours (WH)) for each household in the sample from 1 April 2012 to 31 March 2014 (or such time as data are available after the installation of a smart meter). E_0000_WH refers to WH usage in the half hour commencing 12am. The column TYPE shows the type of usage. There are three types – general, controlled load (where the household has a dedicated circuit for a specific appliance, such as hot water) and generation (where the household has solar panels, this shows the WH exported to the grid from the solar panels - note that electricity generated and used within the house is not measured).

There is also a word document titled ‘questionnaire’, which shows the survey questions. The corresponding question number in the spreadsheet shows the data for that question.

One-off detailed energy use survey - reporting on type and patterns of main and secondary heating systems, water heating system and usage and dwelling insulation information

The WHO Household energy database monitors household energy use. The database contains nationally representative data from surveys and censuses on cooking, heating and lighting fuels. A proportion of the available surveys also include questions on stove type, time spent collecting fuel, and incidence of acute lower respiratory infection. The database is used to calculate national, rural and urban estimates for use of clean fuels and technologies (as well as the population affected), which WHO reports for Sustainable Development Goal Indicator 7.1.2.Similarly, the database is used as input for estimating the percent of the population who use polluting fuels and stoves (as well as the number of people), such as those that burn wood, charcoal, animal dung, coal and kerosene – this serves a proxy for exposure to household air pollution. It also forms the basis for further assessment of the burden of disease attributable to household air pollution, which is associated with increased mortality and morbidity from acute lower respiratory infections among children, as well as from cardiovascular disease, chronic obstructive pulmonary disease and lung cancer among adults.The database is regularly updated with new data from national censuses and large-scale household surveys such as the World Bank’s Living Standard and Measurement Survey and UNICEF’s Multiple Cluster Indicator Survey (MICS). The database is currently being upgraded in association with international and national surveys and censuses to include more data on heating and lighting fuels and technologies and emission rates, and to disaggregate data by sex and age whenever possible.

This dataset includes U.S. low-temperature heating and cooling demand at the county level in major end-use sectors: residential, commercial, manufacturing, agricultural, and data centers. Census division-level end-use energy consumption, expenditure, and commissioned power database were dis-aggregated to the county level. The county-level database was incorporated with climate zone, numbers of housing units and farms, farm size, and coefficient of performance (COP) for heating and cooling demand analysis. This dataset also includes a paper containing a full explanation of the methodologies used and maps. Residential data were updated from the latest Residential Energy Consumption Survey (RECS) dataset (2015) using 2020 census data. Commercial data were baselined off the latest Commercial Building Energy Consumption Survey (CBECS) dataset (2012). Manufacturing data were baselined off the latest Manufacturing Energy Consumption Survey (MECS) dataset (2021).