City and County Commercial Building Inventories
The Commercial Building Inventories provide modeled data on commercial building type, vintage, and area for each U.S. city and county. Please note this data is modeled and more precise data may be available through county assessors or other sources. Commercial building stock data is estimated using CoStar Realty Information, Inc. building stock data.
This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and builds on Cities-LEAP energy modeling, available at the "EERE Cities-LEAP Page" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.
Citation Formats
TY - DATA
AB - The Commercial Building Inventories provide modeled data on commercial building type, vintage, and area for each U.S. city and county. Please note this data is modeled and more precise data may be available through county assessors or other sources. Commercial building stock data is estimated using CoStar Realty Information, Inc. building stock data.
This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and builds on Cities-LEAP energy modeling, available at the "EERE Cities-LEAP Page" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.
AU - Day, Megan
A2 - Ma, Ookie
A3 - Oliveira, Ricardo
A4 - Rosenlieb, Evan
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.25984/1788089
KW - City
KW - Commercial Buildings
KW - County
KW - Cities-LEAP
KW - example
KW - energy
KW - planning
KW - buildings
KW - efficiency
KW - inventory
KW - modeled data
KW - commercial
KW - US
KW - United States
KW - building area
KW - size
KW - year built
KW - building type
KW - building use
KW - building size class
LA - English
DA - 2020/04/01
PY - 2020
PB - National Renewable Energy Laboratory
T1 - City and County Commercial Building Inventories
UR - https://doi.org/10.25984/1788089
ER -
Day, Megan, et al. City and County Commercial Building Inventories. National Renewable Energy Laboratory, 1 April, 2020, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1788089.
Day, M., Ma, O., Oliveira, R., & Rosenlieb, E. (2020). City and County Commercial Building Inventories. [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory. https://doi.org/10.25984/1788089
Day, Megan, Ookie Ma, Ricardo Oliveira, and Evan Rosenlieb. City and County Commercial Building Inventories. National Renewable Energy Laboratory, April, 1, 2020. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1788089
@misc{OEDI_Dataset_906,
title = {City and County Commercial Building Inventories},
author = {Day, Megan and Ma, Ookie and Oliveira, Ricardo and Rosenlieb, Evan},
abstractNote = {The Commercial Building Inventories provide modeled data on commercial building type, vintage, and area for each U.S. city and county. Please note this data is modeled and more precise data may be available through county assessors or other sources. Commercial building stock data is estimated using CoStar Realty Information, Inc. building stock data.
This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and builds on Cities-LEAP energy modeling, available at the "EERE Cities-LEAP Page" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.},
url = {https://data.openei.org/submissions/906},
year = {2020},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory, https://doi.org/10.25984/1788089},
note = {Accessed: 2025-04-29},
doi = {10.25984/1788089}
}
https://dx.doi.org/10.25984/1788089
Details
Data from Apr 1, 2020
Last updated Jun 14, 2024
Submitted Dec 21, 2019
Organization
National Renewable Energy Laboratory
Contact
Megan Day
Authors
Research Areas
Keywords
City, Commercial Buildings, County, Cities-LEAP, example, energy, planning, buildings, efficiency, inventory, modeled data, commercial, US, United States, building area, size, year built, building type, building use, building size classDOE Project Details
Project Name Demand-Side Analysis
Project Number 28759
