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Pre-processed, household-level microdata containing a selection of 31 variables derived from the 2015 RECS, plus 96 survey replicate weights. A variety of data types are included (numeric, factor, logical). There are no missing values (NA). Variable names have been standardized from the original EIA microdata format.

Usage

recs

Format

A tibble (tbl_df) with 5,686 rows and 124 variables:

weight

Primary sampling weight.

income

Annual gross household income for the last year.

age

Respondent age.

race

Respondent race.

education

Highest education completed by respondent.

employment

Respondent employment status.

hh_size

Number of household members.

division

Census Division.

urban_rural

Census 2010 Urban Type.

climate

IECC Climate Code.

renter

Is household renting the home?

home_type

Type of housing unit.

year_built

Range when housing unit was built.

square_feet

Total square footage.

insulation

Level of insulation.

heating

Main space heating fuel.

aircon

Type of air conditioning equipment used.

centralac_age

Age of central air conditioner.

televisions

Number of televisions used.

disconnect

Frequency of receiving disconnect notice.

electricity

Total annual electricity usage, in kilowatthours.

natural_gas

Total annual natural gas usage, in hundred cubic feet.

fuel_oil

Total annual fuel oil/kerosene usage, in gallons.

propane

Total annual propane usage, in gallons.

propane_btu

Total annual propane usage, in thousand Btu.

propane_expend

Total annual propane expenditure, in dollars.

heating_share

Share of total energy used for space heating.

cooling_share

Share of total energy used for cooling (AC and fans).

other_share

Share of total energy used for other end-uses.

use_ng

Logical indicating if household uses natural gas.

have_ac

Logical indicating if household has air conditioning.

rep_1, rep_2, ..., rep_96

Replicate weights (rep_1 through rep_96) for uncertainty estimation.

References

U.S. Energy Information Administration (EIA). (2015). Residential Energy Consumption Survey (RECS). https://www.eia.gov/consumption/residential/data/2015/

Examples

data(recs)
head(recs)