Low-Income Energy Affordability Data - LEAD Tool - 2018 Update
The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low- and moderate-income (LMI) communities they serve. The LEAD Tool provides estimated LMI household energy data based on income, energy expenditures, fuel type, housing type, and geography, which stakeholders can use to make data-driven decisions when planning for their energy goals. From the LEAD Tool website, users can also create and download customized heat-maps and charts for various geographies, housing, and energy characteristics.
Datasets are available for 50 states plus Puerto Rico and Washington D.C., along with their cities, counties, and census tracts. The file below, "1. Description of Files," provides a list of all files included in this dataset. A description of the abbreviations and units used in the LEAD Tool data can be found in the file below titled "2. Data Dictionary 2018". The Low-Income Energy Affordability Data comes primarily from the 2018 U.S. Census American Community Survey 5-Year Public Use Microdata Samples and is calibrated to 2018 U.S. Energy Information Administration electric utility (Survey Form-861) and natural gas utility (Survey Form-176) data. The methodology for the LEAD Tool can viewed below (3. Methodology Document).
For more information, and to access the interactive LEAD Tool platform, please visit the "4. LEAD Tool Platform" resource link below.
For more information on the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA), please visit the "5. CELICA Website" resource below.
Citation Formats
TY - DATA
AB - The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low- and moderate-income (LMI) communities they serve. The LEAD Tool provides estimated LMI household energy data based on income, energy expenditures, fuel type, housing type, and geography, which stakeholders can use to make data-driven decisions when planning for their energy goals. From the LEAD Tool website, users can also create and download customized heat-maps and charts for various geographies, housing, and energy characteristics.
Datasets are available for 50 states plus Puerto Rico and Washington D.C., along with their cities, counties, and census tracts. The file below, "1. Description of Files," provides a list of all files included in this dataset. A description of the abbreviations and units used in the LEAD Tool data can be found in the file below titled "2. Data Dictionary 2018". The Low-Income Energy Affordability Data comes primarily from the 2018 U.S. Census American Community Survey 5-Year Public Use Microdata Samples and is calibrated to 2018 U.S. Energy Information Administration electric utility (Survey Form-861) and natural gas utility (Survey Form-176) data. The methodology for the LEAD Tool can viewed below (3. Methodology Document).
For more information, and to access the interactive LEAD Tool platform, please visit the "4. LEAD Tool Platform" resource link below.
For more information on the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA), please visit the "5. CELICA Website" resource below.
AU - Ma, Ookie
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.25984/1784729
KW - energy burden
KW - LEAD tool
KW - CELICA
KW - LMI
KW - Better Buildings
KW - low income
KW - fuel type
KW - low to moderate income
KW - building type
KW - owner
KW - renter
KW - State Medium Income
KW - Annual Median Income
KW - Federal Poverty Level
KW - FPL
KW - AMI
KW - SMI
KW - moderate income
KW - Clean Energy for Low Income Communities Accelerator
KW - cost
KW - electricity
KW - gas
KW - building
KW - heating fuel
KW - housing costs
KW - annual energy burden
KW - annual energy cost
KW - building age
KW - low-income
KW - energy
KW - affordability
KW - LEAD
KW - Low-Income Energy Affordability Data
KW - census
LA - English
DA - 2020/07/01
PY - 2020
PB - U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy
T1 - Low-Income Energy Affordability Data - LEAD Tool - 2018 Update
UR - https://doi.org/10.25984/1784729
ER -
Ma, Ookie. Low-Income Energy Affordability Data - LEAD Tool - 2018 Update. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, 1 July, 2020, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1784729.
Ma, O. (2020). Low-Income Energy Affordability Data - LEAD Tool - 2018 Update. [Data set]. Open Energy Data Initiative (OEDI). U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy. https://doi.org/10.25984/1784729
Ma, Ookie. Low-Income Energy Affordability Data - LEAD Tool - 2018 Update. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, July, 1, 2020. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1784729
@misc{OEDI_Dataset_573,
title = {Low-Income Energy Affordability Data - LEAD Tool - 2018 Update},
author = {Ma, Ookie},
abstractNote = {The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low- and moderate-income (LMI) communities they serve. The LEAD Tool provides estimated LMI household energy data based on income, energy expenditures, fuel type, housing type, and geography, which stakeholders can use to make data-driven decisions when planning for their energy goals. From the LEAD Tool website, users can also create and download customized heat-maps and charts for various geographies, housing, and energy characteristics.
Datasets are available for 50 states plus Puerto Rico and Washington D.C., along with their cities, counties, and census tracts. The file below, "1. Description of Files," provides a list of all files included in this dataset. A description of the abbreviations and units used in the LEAD Tool data can be found in the file below titled "2. Data Dictionary 2018". The Low-Income Energy Affordability Data comes primarily from the 2018 U.S. Census American Community Survey 5-Year Public Use Microdata Samples and is calibrated to 2018 U.S. Energy Information Administration electric utility (Survey Form-861) and natural gas utility (Survey Form-176) data. The methodology for the LEAD Tool can viewed below (3. Methodology Document).
For more information, and to access the interactive LEAD Tool platform, please visit the "4. LEAD Tool Platform" resource link below.
For more information on the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA), please visit the "5. CELICA Website" resource below. },
url = {https://data.openei.org/submissions/573},
year = {2020},
howpublished = {Open Energy Data Initiative (OEDI), U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, https://doi.org/10.25984/1784729},
note = {Accessed: 2025-07-25},
doi = {10.25984/1784729}
}
https://dx.doi.org/10.25984/1784729
Details
Data from Jul 1, 2020
Last updated Jan 15, 2025
Submitted Sep 16, 2020
Organization
U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy
Contact
LEAD Tool at EERE
Authors
Research Areas
Keywords
energy burden, LEAD tool, CELICA, LMI, Better Buildings, low income, fuel type, low to moderate income, building type, owner, renter, State Medium Income, Annual Median Income, Federal Poverty Level, FPL, AMI, SMI, moderate income, Clean Energy for Low Income Communities Accelerator, cost, electricity, gas, building, heating fuel, housing costs, annual energy burden, annual energy cost, building age, low-income, energy, affordability, LEAD, Low-Income Energy Affordability Data, censusDOE Project Details
Project Name Low-income Energy Affordability Data (LEAD) Tool
Project Number 34667
