Dataset Identification:
Resource Abstract:
- description: ABOUT THIS TOOL: The Better Building s Clean Energy for Low Income Communities Accelerator (CELICA) was launched
in 2016 to help state and local partners across the nation meet their goals for increasing uptake of energy efficiency and
renewable energy technologies in low and moderate income communities. As a part of the Accelerator, DOE created this Low-Income
Energy Affordability Data (LEAD) Tool to assist partners with understanding their LMI community characteristics. This can
be utilized for low income and moderate income energy policy and program planning, as it provides interactive state, county
and city level worksheets with graphs and data including number of households at different income levels and numbers of homeowners
versus renters. It provides a breakdown based on fuel type, building type, and construction year. It also provides average
monthly energy expenditures and energy burden (percentage of income spent on energy). HOW TO USE: The LEAD tool can be used
to support program design and goal setting, and they can be paired with other data to improve LMI community energy benchmarking
and program evaluation. Datasets are available for all 50 states, census divisions, and tract levels. You will have to enable
macros in MS Excel to interact with the data. A description of each of the files and what states are included in each U.S.
Census Division can be found in the file "DESCRIPTION OF FILES". For more information, visit: https://betterbuildingsinitiative.energy.gov/accelerators/clean-energy-low-income-communities;
abstract: ABOUT THIS TOOL: The Better Building s Clean Energy for Low Income Communities Accelerator (CELICA) was launched
in 2016 to help state and local partners across the nation meet their goals for increasing uptake of energy efficiency and
renewable energy technologies in low and moderate income communities. As a part of the Accelerator, DOE created this Low-Income
Energy Affordability Data (LEAD) Tool to assist partners with understanding their LMI community characteristics. This can
be utilized for low income and moderate income energy policy and program planning, as it provides interactive state, county
and city level worksheets with graphs and data including number of households at different income levels and numbers of homeowners
versus renters. It provides a breakdown based on fuel type, building type, and construction year. It also provides average
monthly energy expenditures and energy burden (percentage of income spent on energy). HOW TO USE: The LEAD tool can be used
to support program design and goal setting, and they can be paired with other data to improve LMI community energy benchmarking
and program evaluation. Datasets are available for all 50 states, census divisions, and tract levels. You will have to enable
macros in MS Excel to interact with the data. A description of each of the files and what states are included in each U.S.
Census Division can be found in the file "DESCRIPTION OF FILES". For more information, visit: https://betterbuildingsinitiative.energy.gov/accelerators/clean-energy-low-income-communities
Citation
- Title Low-Income Energy Affordability Data (LEAD) Tool.
-
- creation Date
2018-06-09T14:22:05.782089
Resource language:
Processing environment:
Back to top:
Metadata data stamp:
2018-08-06T19:35:38Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T19:35:38Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- Address
-
- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:cc1901e7-a008-4eed-b045-3f2be7fd024a
Metadata record format is ISO19139 XML (MD_Metadata)