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Graph and download economic data for Average Price: Electricity per Kilowatt-Hour in San Francisco-Oakland-Hayward, CA (CBSA) (APUS49B72610) from Nov 1978 to Dec 2024 about San Francisco, electricity, energy, urban, CA, retail, price, and USA.
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San Francisco - Electricity Prices - Historical chart and current data through 2024.
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United States - Average Price: Electricity per Kilowatt-Hour in San Francisco-Oakland-Hayward, CA (CBSA) was 0.37000 Index in December of 2024, according to the United States Federal Reserve. Historically, United States - Average Price: Electricity per Kilowatt-Hour in San Francisco-Oakland-Hayward, CA (CBSA) reached a record high of 0.41900 in June of 2024 and a record low of 0.03900 in March of 1979. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Average Price: Electricity per Kilowatt-Hour in San Francisco-Oakland-Hayward, CA (CBSA) - last updated from the United States Federal Reserve on November of 2025.
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Graph and download economic data for Consumer Price Index for All Urban Consumers: Electricity in San Francisco-Oakland-Hayward, CA (CBSA) (CUUSA422SEHF01) from H1 1984 to H2 2024 about San Francisco, electricity, urban, CA, consumer, CPI, inflation, price index, indexes, price, and USA.
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Los Angeles-Riverside-Orange County, CA (CMSA) - Consumer Price Index for All Urban Consumers: Energy in San Francisco-Oakland-Hayward, CA (CBSA) was 447.87800 Index 1982-84=100 in January of 2025, according to the United States Federal Reserve. Historically, Los Angeles-Riverside-Orange County, CA (CMSA) - Consumer Price Index for All Urban Consumers: Energy in San Francisco-Oakland-Hayward, CA (CBSA) reached a record high of 466.96000 in January of 2024 and a record low of 83.80000 in July of 1986. Trading Economics provides the current actual value, an historical data chart and related indicators for Los Angeles-Riverside-Orange County, CA (CMSA) - Consumer Price Index for All Urban Consumers: Energy in San Francisco-Oakland-Hayward, CA (CBSA) - last updated from the United States Federal Reserve on October of 2025.
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San Francisco-Oakland-San Jose, CA (CMSA) - Consumer Price Index for All Urban Consumers: Electricity in San Francisco-Oakland-Hayward, CA (CBSA) was 688.83400 Index 1982-84=100 in December of 2024, according to the United States Federal Reserve. Historically, San Francisco-Oakland-San Jose, CA (CMSA) - Consumer Price Index for All Urban Consumers: Electricity in San Francisco-Oakland-Hayward, CA (CBSA) reached a record high of 741.12600 in June of 2024 and a record low of 39.70000 in June of 1971. Trading Economics provides the current actual value, an historical data chart and related indicators for San Francisco-Oakland-San Jose, CA (CMSA) - Consumer Price Index for All Urban Consumers: Electricity in San Francisco-Oakland-Hayward, CA (CBSA) - last updated from the United States Federal Reserve on November of 2025.
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View monthly updates and historical trends for San Francisco Retail Gas Price. Source: Energy Information Administration. Track economic data with YCharts…
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Graph and download economic data for Average Price: Utility (Piped) Gas per Therm in San Francisco-Oakland-Hayward, CA (CBSA) (APUS49B72620) from Nov 1978 to Dec 2024 about San Francisco, utilities, energy, urban, CA, retail, price, and USA.
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View bimonthly updates and historical trends for San Francisco-Oakland-Hayward, CA Consumer Price Index: All Items Less Energy. Source: Bureau of Labor St…
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Graph and download economic data for Consumer Price Index for All Urban Consumers: Electricity in San Francisco-Oakland-Hayward, CA (CBSA) (CUURA422SEHF01) from May 1971 to Dec 2024 about San Francisco, electricity, urban, CA, consumer, CPI, inflation, price index, indexes, price, and USA.
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View monthly updates and historical trends for San Francisco Retail Regular Gas Price. Source: Energy Information Administration. Track economic data with…
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View weekly updates and historical trends for San Francisco Retail Premium Gas Price: Reformulated Areas. Source: Energy Information Administration. Track…
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Graph and download economic data for Consumer Price Index for All Urban Consumers: All Items Less Energy in San Francisco-Oakland-Hayward, CA (CBSA) (CUUSA422SA0LE) from H1 1984 to H1 2025 about San Francisco, energy, all items, urban, CA, consumer, CPI, inflation, price index, indexes, price, and USA.
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This research developed EV Explorer 2.0, an online vehicle cost calculator (VCC) to meet the requirements of transportation network company (TNC) drivers considering acquiring an electric vehicle (EV). The tool was built to also support the needs of other users considering an EV, including other types of gig economy drivers as well as the general population of non-professional drivers. EV Explorer 2.0 includes several important features and functionalities to support the TNC driver use case that are not found in any other available tool: (1) It allows users to estimate TCO for used vehicles as well as new (others only estimate TCO for new vehicles); (2) Outputs include ridehail-driving income estimates, accounting for EV trip bonuses offered by Uber, net driving costs; (3) Estimates of total cost of driving (TCD) include charging network membership fees and charging session fees (in addition to electricity prices). It also includes key features found in other leading tools, such as presenting and tailoring EV purchase/lease incentive estimates (based on a database we developed), and innovative features to benefit all users, such as animations conveying the social and environmental impacts of vehicle choice. Design features were informed and validated in user testing with TNC drivers who had expressed interest in EV adoption. Methods Federal incentives sourced from fueleconomy.gov State and local incentives sourced from AFDC.energy.gov Maintenance itemized costs sourced from afleet.es.anl.gov Lyft upgraded ride-eligible PEVs sourced from help.lyft.com/hc/en-us/all/articles/115012923147-Lyft-Lux-Lux-Black-and-Lux-Black-XL-rides-for-drivers#eligible Uber upgraded ride-eligible PEVs sourced from uber.com/global/en/eligible-vehicles/?city=san-francisco; NOTE: Uber provides vehicle eligibility by city, so we used those eligible in San Francisco, CA, as the reference.
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Los Angeles-Riverside-Orange County, CA (CMSA) - Consumer Price Index for All Urban Consumers: All Items Less Energy in San Francisco-Oakland-Hayward, CA (CBSA) was 354.47600 Index 1982-84=100 in January of 2025, according to the United States Federal Reserve. Historically, Los Angeles-Riverside-Orange County, CA (CMSA) - Consumer Price Index for All Urban Consumers: All Items Less Energy in San Francisco-Oakland-Hayward, CA (CBSA) reached a record high of 354.47600 in January of 2025 and a record low of 102.70000 in January of 1984. Trading Economics provides the current actual value, an historical data chart and related indicators for Los Angeles-Riverside-Orange County, CA (CMSA) - Consumer Price Index for All Urban Consumers: All Items Less Energy in San Francisco-Oakland-Hayward, CA (CBSA) - last updated from the United States Federal Reserve on October of 2025.
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Summary
Geojson files used to visualize geospatial layers relevant to identifying and assessing trucking fleet decarbonization opportunities with the MIT Climate & Sustainability Consortium's Geospatial Trucking Industry Decarbonization Explorer (Geo-TIDE) tool.
Relevant Links
Link to the online version of the tool (requires creation of a free user account).
Link to GitHub repo with source code to produce this dataset and deploy the Geo-TIDE tool locally.
Funding
This dataset was produced with support from the MIT Climate & Sustainability Consortium.
Original Data Sources
These geojson files draw from and synthesize a number of different datasets and tools. The original data sources and tools are described below:
Filename(s) Description of Original Data Source(s) Link(s) to Download Original Data License and Attribution for Original Data Source(s)
faf5_freight_flows/*.geojson
trucking_energy_demand.geojson
highway_assignment_links_*.geojson
infrastructure_pooling_thought_experiment/*.geojson
Regional and highway-level freight flow data obtained from the Freight Analysis Framework Version 5. Shapefiles for FAF5 region boundaries and highway links are obtained from the National Transportation Atlas Database. Emissions attributes are evaluated by incorporating data from the 2002 Vehicle Inventory and Use Survey and the GREET lifecycle emissions tool maintained by Argonne National Lab.
Shapefile for FAF5 Regions
Shapefile for FAF5 Highway Network Links
FAF5 2022 Origin-Destination Freight Flow database
FAF5 2022 Highway Assignment Results
Attribution for Shapefiles: United States Department of Transportation Bureau of Transportation Statistics National Transportation Atlas Database (NTAD). Available at: https://geodata.bts.gov/search?collection=Dataset.
License for Shapefiles: This NTAD dataset is a work of the United States government as defined in 17 U.S.C. § 101 and as such are not protected by any U.S. copyrights. This work is available for unrestricted public use.
Attribution for Origin-Destination Freight Flow database: National Transportation Research Center in the Oak Ridge National Laboratory with funding from the Bureau of Transportation Statistics and the Federal Highway Administration. Freight Analysis Framework Version 5: Origin-Destination Data. Available from: https://faf.ornl.gov/faf5/Default.aspx. Obtained on Aug 5, 2024. In the public domain.
Attribution for the 2022 Vehicle Inventory and Use Survey Data: United States Department of Transportation Bureau of Transportation Statistics. Vehicle Inventory and Use Survey (VIUS) 2002 [supporting datasets]. 2024. https://doi.org/10.21949/1506070
Attribution for the GREET tool (original publication): Argonne National Laboratory Energy Systems Division Center for Transportation Research. GREET Life-cycle Model. 2014. Available from this link.
Attribution for the GREET tool (2022 updates): Wang, Michael, et al. Summary of Expansions and Updates in GREET® 2022. United States. https://doi.org/10.2172/1891644
grid_emission_intensity/*.geojson
Emission intensity data is obtained from the eGRID database maintained by the United States Environmental Protection Agency.
eGRID subregion boundaries are obtained as a shapefile from the eGRID Mapping Files database.
eGRID database
Shapefile with eGRID subregion boundaries
Attribution for eGRID data: United States Environmental Protection Agency: eGRID with 2022 data. Available from https://www.epa.gov/egrid/download-data. In the public domain.
Attribution for shapefile: United States Environmental Protection Agency: eGRID Mapping Files. Available from https://www.epa.gov/egrid/egrid-mapping-files. In the public domain.
US_elec.geojson
US_hy.geojson
US_lng.geojson
US_cng.geojson
US_lpg.geojson
Locations of direct current fast chargers and refueling stations for alternative fuels along U.S. highways. Obtained directly from the Station Data for Alternative Fuel Corridors in the Alternative Fuels Data Center maintained by the United States Department of Energy Office of Energy Efficiency and Renewable Energy.
US_elec.geojson
US_hy.geojson
US_lng.geojson
US_cng.geojson
US_lpg.geojson
Attribution: U.S. Department of Energy, Energy Efficiency and Renewable Energy. Alternative Fueling Station Corridors. 2024. Available from: https://afdc.energy.gov/corridors. In the public domain.
These data and software code ("Data") are provided by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC ("Alliance"), for the U.S. Department of Energy ("DOE"), and may be used for any purpose whatsoever.
daily_grid_emission_profiles/*.geojson
Hourly emission intensity data obtained from ElectricityMaps.
Original data can be downloaded as csv files from the ElectricityMaps United States of America database
Shapefile with region boundaries used by ElectricityMaps
License: Open Database License (ODbL). Details here: https://www.electricitymaps.com/data-portal
Attribution for csv files: Electricity Maps (2024). United States of America 2022-23 Hourly Carbon Intensity Data (Version January 17, 2024). Electricity Maps Data Portal. https://www.electricitymaps.com/data-portal.
Attribution for shapefile with region boundaries: ElectricityMaps contributors (2024). electricitymaps-contrib (Version v1.155.0) [Computer software]. https://github.com/electricitymaps/electricitymaps-contrib.
gen_cap_2022_state_merged.geojson
trucking_energy_demand.geojson
Grid electricity generation and net summer power capacity data is obtained from the state-level electricity database maintained by the United States Energy Information Administration.
U.S. state boundaries obtained from this United States Department of the Interior U.S. Geological Survey ScienceBase-Catalog.
Annual electricity generation by state
Net summer capacity by state
Shapefile with U.S. state boundaries
Attribution for electricity generation and capacity data: U.S. Energy Information Administration (Aug 2024). Available from: https://www.eia.gov/electricity/data/state/. In the public domain.
electricity_rates_by_state_merged.geojson
Commercial electricity prices are obtained from the Electricity database maintained by the United States Energy Information Administration.
Electricity rate by state
Attribution: U.S. Energy Information Administration (Aug 2024). Available from: https://www.eia.gov/electricity/data.php. In the public domain.
demand_charges_merged.geojson
demand_charges_by_state.geojson
Maximum historical demand charges for each state and zip code are derived from a dataset compiled by the National Renewable Energy Laboratory in this this Data Catalog.
Historical demand charge dataset
The original dataset is compiled by the National Renewable Energy Laboratory (NREL), the U.S. Department of Energy (DOE), and the Alliance for Sustainable Energy, LLC ('Alliance').
Attribution: McLaren, Joyce, Pieter Gagnon, Daniel Zimny-Schmitt, Michael DeMinco, and Eric Wilson. 2017. 'Maximum demand charge rates for commercial and industrial electricity tariffs in the United States.' NREL Data Catalog. Golden, CO: National Renewable Energy Laboratory. Last updated: July 24, 2024. DOI: 10.7799/1392982.
eastcoast.geojson
midwest.geojson
la_i710.geojson
h2la.geojson
bayarea.geojson
saltlake.geojson
northeast.geojson
Highway corridors and regions targeted for heavy duty vehicle infrastructure projects are derived from a public announcement on February 15, 2023 by the United States Department of Energy.
The shapefile with Bay area boundaries is obtained from this Berkeley Library dataset.
The shapefile with Utah county boundaries is obtained from this dataset from the Utah Geospatial Resource Center.
Shapefile for Bay Area country boundaries
Shapefile for counties in Utah
Attribution for public announcement: United States Department of Energy. Biden-Harris Administration Announces Funding for Zero-Emission Medium- and Heavy-Duty Vehicle Corridors, Expansion of EV Charging in Underserved Communities (2023). Available from https://www.energy.gov/articles/biden-harris-administration-announces-funding-zero-emission-medium-and-heavy-duty-vehicle.
Attribution for Bay area boundaries: San Francisco (Calif.). Department Of Telecommunications and Information Services. Bay Area Counties. 2006. In the public domain.
Attribution for Utah boundaries: Utah Geospatial Resource Center & Lieutenant Governor's Office. Utah County Boundaries (2023). Available from https://gis.utah.gov/products/sgid/boundaries/county/.
License for Utah boundaries: Creative Commons 4.0 International License.
incentives_and_regulations/*.geojson
State-level incentives and regulations targeting heavy duty vehicles are collected from the State Laws and Incentives database maintained by the United States Department of Energy's Alternative Fuels Data Center.
Data was collected manually from the State Laws and Incentives database.
Attribution: U.S. Department of Energy, Energy Efficiency and Renewable Energy, Alternative Fuels Data Center. State Laws and Incentives. Accessed on Aug 5, 2024 from: https://afdc.energy.gov/laws/state. In the public domain.
These data and software code ("Data") are provided by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC ("Alliance"), for the U.S. Department of Energy ("DOE"), and may be used for any purpose whatsoever.
costs_and_emissions/*.geojson
diesel_price_by_state.geojson
trucking_energy_demand.geojson
Lifecycle costs and emissions of electric and diesel trucking are evaluated by adapting the model developed by Moreno Sader et al., and calibrated to the Run on Less dataset for the Tesla Semi collected from the 2023 PepsiCo Semi pilot by the North American Council for Freight Efficiency.
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Graph and download economic data for Average Price: Utility (Piped) Gas - 40 Therms in San Francisco-Oakland-Hayward, CA (CBSA) (APUS49B72601) from Nov 1978 to Jun 2013 about San Francisco, utilities, energy, urban, CA, retail, price, and USA.
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Graph and download economic data for Average Price: Gasoline, Unleaded Midgrade (Cost per Gallon/3.785 Liters) in San Francisco-Oakland-Hayward, CA (CBSA) (APUS49B74715) from Dec 1993 to Sep 2025 about San Francisco, energy, gas, urban, CA, retail, price, and USA.
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Graph and download economic data for Average Price: Utility (Piped) Gas - 100 Therms in San Francisco-Oakland-Hayward, CA (CBSA) (APUS49B72611) from Nov 1978 to Jun 2013 about utilities, energy, retail, price, and USA.
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Graph and download economic data for Average Price: Electricity per Kilowatt-Hour in San Francisco-Oakland-Hayward, CA (CBSA) (APUS49B72610) from Nov 1978 to Dec 2024 about San Francisco, electricity, energy, urban, CA, retail, price, and USA.