As part of our ongoing improvement, we are asking users to please provide some basic information to help us understand how this data is useful. Your information will not be shared with any third party and will be used exclusively to improve the Atlas.

Upon completing the following form, users will be sent to a data repository with access to download the behind-the-scenes comma-separated values (CSV) tables which support the visualization of maps and tables on the website. The CSV tables are broken down as described in the Data Overview section.

Download Data

For academic and reporting references, please use the following citation for the Bay Area Energy Atlas data:

California Center for Sustainable Communities (2026). Bay Area Energy Atlas. figshare. Collection. https://doi.org/10.6084/m9.figshare.31807846

Please be aware that these datasets can and will be updated over time as data or technology improvements allow. Updates will be noted when they occur. Please read the Methods page and Limitations section to better understand how this data can be used and areas of embedded error.

Disclaimer: Validation of data is an ongoing process and we cannot guarantee data accuracy. We welcome and appreciate feedback on data irregularities to help us improve our database. All current data on the site should be viewed and used with this understanding.

Data Overview

To best accommodate expected use cases, the data are available for download in two ways: (1) By aggregations as reflected in the atlas pages for all available geographies and (2) Organized by aggregations as reflected in the atlas pages, then by geographic level, and finally by county (see figure below). While Census Tracts fit neatly within county boundaries, Census Places and Zip Code Tabulation Areas in Option (2) are included in the county for which they are entirely or primarily contained.

Diagram of the data download file breakdown, showing first the county, the aggregation types, and finally the geographic levels.

Each file contains roughly the same field structure, which is described in the table below:

Column Name Column Description Column Unit
GEOID Census Bureau Geographic Identifier NA
display name Formatted name of the selected geography NA
usetype Building use type category NA
secondary category When applicable, this will show the available bins for building vintage, building size, and Area Median Income Vintage year, square feet, or percent of area median income
year Year of consumption Year
month Month of consumption Month
pop Total population People
median_household_income Median household income per the 2018-2022 ACS 5-Year Estimates USD
FY 2022 Income Limit Area Relevant area as determined by HUD to identify Median Family Income for the area median income calculation. Only available in the area median income datasets. NA
limit_area_median_income Median Family Income as determined by HUD per the relevant income limit area. Only available in the area median income datasets. USD
sqft Total square footage of relevant geography and use type Square Feet
btu Total combined consumption in BTUs BTU
btu_median Median combined consumption in BTUs BTU
btu_per_sqft_median Median per square foot combined consumption in BTUs BTU/sqft
btu_percap* Per capita combined consumption in BTUs BTU/population
kwh Total electricity consumption in kWh kWh
kwh_median Median electricity consumption in kWh kWh
kwh_per_sqft_median Median electricity consumption per square foot in kWh kWh/sqft
kwh_percap* Per Capita electricity consumption in kWh kWh/population
therm Total natural gas consumption in therms Therms
therm_median Median natural gas consumption in therms Therms
therm_per_sqft_median Median per square foot natural gas consumption in therms Therms/sqft
therm_percap* Per capita natural gas consumption in therms Therms/population

*Keep in mind that while per capita consumption is available for all building use types, it may not be appropriate for non residential use type categories.

Masked Data

You will notice that some of the cell values have values of -999,999,999. That is an indication that the data is masked due to privacy rules (See Methods and FAQ for more information). Additionally, data are excluded from the sets when either the raw data is not available or, in the case of derived values, the source is not available (ie. cannot calculate median consumption per square-foot if square-footage information is missing).

If you have any questions about the data, feel free to contact us at ccsc@ioes.ucla.edu.