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Pre-processed, household-level microdata containing a selection of 31 variables derived from the 2015 RECS, plus survey replicate weights. A variety of data types are included. There are no missing values. Variable names have been altered from the original.

Usage

recs

Format

A tibble 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

heating_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_96

Replicate weights for uncertainty estimation