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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Abstract

This is a state-level summary of the Residential Energy Consumption Survey (RECS) 2020, for 50 states and the District of Columbia.

The survey measures characteristics that contribute to energy consumption in U.S. households.

The summarized datasets cover the following topics:

• Space heating
• Air conditioning
• Water heating
• Household characteristics
• Energy assistance

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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• The summarized datasets are weighted estimates of the number of households in each state.

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• Users should exercise caution in using estimates based on samples, as sample sizes could be small and the standard errors could be large.
• RECS is best suited for comparison across different characteristics of homes within the residential sector.
• **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 table energy_assistance is part of the dataset Residential Energy Consumption Survey (RECS) 2020 **, available at https://redivis.com/datasets/ac9w-3263twez2. It contains 18496 rows across 51 variables.

The table your_home is part of the dataset Residential Energy Consumption Survey (RECS) 2020 **, available at https://redivis.com/datasets/ac9w-3263twez2. It contains 18496 rows across 94 variables.

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.

The table weather is part of the dataset Residential Energy Consumption Survey (RECS) 2020 **, available at https://redivis.com/datasets/ac9w-3263twez2. It contains 18496 rows across 9 variables.

The table energy_bills is part of the dataset Residential Energy Consumption Survey (RECS) 2020 **, available at https://redivis.com/datasets/ac9w-3263twez2. It contains 18496 rows across 38 variables.

The table appliances is part of the dataset Residential Energy Consumption Survey (RECS) 2020 **, available at https://redivis.com/datasets/ac9w-3263twez2. It contains 18496 rows across 113 variables.

The table household_characteristics is part of the dataset Residential Energy Consumption Survey (RECS) 2020 **, available at https://redivis.com/datasets/ac9w-3263twez2. It contains 18496 rows across 26 variables.

The table space_heating is part of the dataset Residential Energy Consumption Survey (RECS) 2020 **, available at https://redivis.com/datasets/ac9w-3263twez2. It contains 18496 rows across 48 variables.

The table geography is part of the dataset Residential Energy Consumption Survey (RECS) 2020 **, available at https://redivis.com/datasets/ac9w-3263twez2. It contains 18496 rows across 7 variables.

The table water_heating is part of the dataset Residential Energy Consumption Survey (RECS) 2020 **, available at https://redivis.com/datasets/ac9w-3263twez2. It contains 18496 rows across 27 variables.

The table lighting is part of the dataset Residential Energy Consumption Survey (RECS) 2020 **, available at https://redivis.com/datasets/ac9w-3263twez2. It contains 18496 rows across 27 variables.

The table air_conditioning is part of the dataset Residential Energy Consumption Survey (RECS) 2020 **, available at https://redivis.com/datasets/ac9w-3263twez2. It contains 18496 rows across 45 variables.

The table thermostat is part of the dataset Residential Energy Consumption Survey (RECS) 2020 **, available at https://redivis.com/datasets/ac9w-3263twez2. It contains 18496 rows across 22 variables.

The table RECS_Experienced Energy Insecurity 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 4 variables.

The table RECS_Householder Education Level 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.

The table RECS_Home Ownership 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.

The table RECS_Use of SPACE Heaters and Age of SPACE Heating Equipment 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 18 variables.

The table RECS_Income 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 34 variables.