Inflation-adjusted figures are converted at the national and state levels from current dollars based on state-specific deflators from the National Income and Product Accounts (NIPA) and State Annual Gross Domestic Product (SAGDP) data tables, published by the Bureau of Economic Analysis, U.S. Department of Commerce.
Nominal gross domestic product (GDP) data for California, U.S. states and the U.S. are sourced from the Bureau of Economic Analysis, U.S. Department of Commerce. Country and state GDP are at market prices in 2023 dollars, expressed per U.S. dollar and adjusted for purchasing power parity (PPP), unless otherwise noted, from the World Bank’s World Development Indicators. Gross Domestic Product by State is also referred to as Gross State Product (GSP).
Population data from California used to calculate per capita figures are from the California Department of Finance’s: E-4 Population Estimates for Cities, Counties, and the State, with 2020-2024 Census Counts. U.S., state and “U.S. without California” population data are from the U.S. Census Bureau, Population Estimates Branch. Country population data are from the U.S. Department of Agriculture’s Economic Research Service, calculated from the Census Bureau International Population Database.
Data for carbon dioxide emissions from the consumption of energy are from the U.S. Department of Energy – Energy Information Administration (EIA), International Energy Statistics. State level emissions data come from EIA’s State CO2 Emissions. Data for carbon dioxide emissions from the consumption of energy include emissions due to the consumption of petroleum, natural gas, and coal, and also from natural gas flaring. Energy consumption data are based on the consumption of each primary energy source, and data are gathered from a variety of national and organization reports that collate data from energy users. Carbon dioxide emissions are calculated for each individual fuel by applying carbon emission coefficients to convert to MMTCO2e dioxide emitted per quadrillion BTU of fuel consumed. Calculations used GDP and Population data where applicable, as described above.
Unless otherwise noted, emissions data only include energy-related emissions that result from consumption of fuels, and therefore do not include emissions from sources such as agriculture, waste combustion, and industrial gases, because it is the most up-to-date information available. While these other emissions are important to track and reduce, the Green Innovation Index focuses on energy emissions, given the importance of energy-related indicators and the availability of recent data. A comparison of World Resources Institute’s 2011 total world emissions data shows that energy-related emissions account for about 75 percent of global emissions. In addition, the ranking for the top emitters is similar when comparing total and energy-related emissions, and the rankings of the top six emitters are identical.
GHG Emissions and Gross Domestic Product, Total California Greenhouse Emissions, Emissions by Economic Sector, Emissions by AB 32 Climate Change Scoping plan, Emissions by Source, Emissions by Detailed Source Greenhouse gas (GHG) emissions data for these figures are from California Air Resources Board’s “California Greenhouse Gas Inventory – by Sector and Activity” (2025 Edition). The 1990–1999 emissions include “gross emissions” and the 2000–2023 emissions are “included emissions” only unless otherwise noted. Calculations used GDP and Population data where applicable, as described above.
Note: The California Green Innovation Index seeks to report the most accurate data available on California’s carbon economy, including updated estimates of historic emissions data. Historical data in the latest edition of the Index can sometimes conflict with previous editions, if data publishers revise their own estimates and methodology. The 2024 California Air Resources Board GHG Inventory features revised methodology, which results in data change for the years 2000-2021 in the 2024 Index. While these may conflict with previously published estimates, they represent the best available estimates as of December 2024. Please see the CARB’s Technical Documentation to find out more.
Data on waste disposal (landfilled or exported) in tons are from CalRecycle’s Disposal Reporting System. The Disposal Reporting System (DRS) is the set of guidelines that tracks the origin of waste disposed in California’s landfills, and waste sent from California to out-of-state landfills. DRS tracks disposal tonnages (including alternative daily cover (ADC), alternative intermediate cover (AIC), and beneficial reuse) and transformation sent to facilities in the state. Disposal and alternative daily cover (ADC) tonnage is subject to change due to revisions. Historical data in the latest edition of the Index may differ from previous editions, if data publishers revise their own estimates and methodology.
Data on state-level transportation fuel consumption is compiled by the Alternative Fuel Data Center of the U.S. Department of Energy, based on the State Energy Data System from the U.S. Energy Information Administration. Transportation fuel consumption is converted to Trillion British Thermal Units for the transportation sector. The following transportation fuels are converted: Petroleum products made from crude oil and from natural gas processing, including motor and aviation gasoline, distillate fuels (mostly diesel fuel), jet fuel, residual fuel oil, and propane, biofuels, natural gas, and electricity produced from many different energy sources.
Total Vehicles and GHG Emissions from Surface Transportation and Vehicle Miles Traveled CARB’s “California Greenhouse Gas Inventory – by Sector and Activity.” Surface Transportation emissions sources include passenger vehicles, motorcycles, and light and heavy-duty trucks. Vehicle Miles Traveled (VMT) is defined as total distance traveled by all vehicles during a selected time period in a geographic segment. VMT estimates are from the U.S. Department of Transportation’s Federal Highway Administration’s “Highway Statistics” data series. Calculations use Population data sources where applicable.
Data for new light vehicle registrations in California are from California New Car Dealers Association’s Quarterly California Auto Outlook, which are sourced from Experian Automotive. Light Vehicles include cars and light trucks. Cars are composed of the following categories: subcompact, compact, sports/pony cars, mid-size, large, entry luxury, near luxury, luxury and high-end sports cars. Light trucks are composed of the following categories: compact/mid-size pickup, full size pickup, minivan, large van, subcompact SUV, compact SUV, mid-size SUV, large SUV, luxury subcompact SUV, luxury compact SUV, luxury midsize SUV and luxury large SUV.
Data is from the California Energy Commission (CEC)’s California Energy Commission Zero Emission Vehicle and Infrastructure Statistics, compiled using vehicle registration data by fuel type from the California Department of Motor Vehicles. Alternative fuel types include all hybrid (gasoline and diesel), electric, plug-in hybrid, hydrogen, propane, biofuels, and natural gas vehicles. Zero-emission fuel-types include electric, plug-in hybrid, and hydrogen.
Data on alternative fueling stations, which encompasses electric vehicle charging stations, are from Alternative Fuel Data Center, U.S. Department of Energy. The data in the Alternative Fueling Station Locator are gathered and verified through a variety of methods. The National Renewable Energy Laboratory (NREL) obtains information about new stations from trade media, Clean Cities coordinators, a Submit New Station form on the Station Locator website, and through collaborating with infrastructure equipment and fuel providers, original equipment manufacturers (OEMs), and industry groups.
Unlinked Passenger Trips: Data uses monthly American Public Transportation Association (APTA) data for the transit component of Transportation Safe Institute (TSI) for years prior to 2010, and data from FTA (Federal Transit Administration)’s NTD (National Transit Database) for 2010 and beyond. FTA is an agency of the United States Department of Transportation. The number of unlinked passenger trips is the measure used for the TSI. Transit modes, include, among others, bus, trolleybus, vanpool, jitney, and demand response service; and heavy rail transit, light rail transit, commuter rail (including Amtrak contract commuter service), automated guideway transit, inclined plane, cable car, monorail, aerial tramway, and ferryboat. Monthly data is reported to NTD by transit agencies.
Data for total electricity generation and renewable electricity generation by source are from the U.S. Department of Energy – EIA, International Energy Statistics. Data are for both utility and non-utility sources, and are reported as net generation (as opposed to gross generation). Renewable electricity data are for non-hydroelectric renewables, including geothermal, solar, tide, wave, wind, biomass and waste.
California renewable energy data is from the California Energy Commission, “Net System Power Reports” 2009–2024, Total System Power in Gigawatt Hours (GWh), with pre-2009 data based on the CEC’s legacy versions. U.S. data in the California section on total electricity generation data is from the U.S. Department of Energy, EIA, Electric Power Monthly reports. Annual totals from “Table 1.1 Net Generation by Energy Source: Total (All Sectors),” and “Table 1.1.A. Net Generation by Other Renewables: Total (All Sectors).” Because of different renewable energy definitions between California and the U.S., data represented for the U.S. do not include any hydro.
Solar capacity installed data are provided by Solar Energy Industries Association® (SEIA) and California Solar Initiative. SEIA data were taken from the U.S. Solar Market Insight Reports, 2007–2023. California Solar Initiative (CSI) data include municipal utility, and other utility-scale installations and Net Energy Metering (NEM) Interconnection Data.
Wind capacity installed and cumulative data are provided by the American Clean Power Association. Data is taken from the public version of quarterly and annual U.S. Clean Power Quarterly Market Reports, 2006–2024.
Data on the annual renewable portfolio standards (RPS) position of community choice aggregations (CCAs) come from the California Public Utility Commission’s annual RPS report to the legislature, which is based on the CCA draft RPS procurement plans submitted to the CPUC.
Data on the integrated resource plan (IRP) scenarios comes from the 2021 unified resource adequacy (RA) and IRP modeling datasets hosted on the California Public Utility Commission’s (CPUC’s) website. The unified modeling input datasets and scenarios are used by the Energy Division of the CPUC to model the electric and gas system, typically in support of the Resource Adequacy (RA) and Integrated Resource Plan (IRP) proceedings. The production cost model used by the Energy Division is the SERVM model developed by Astrape Consulting.
Data on energy storage projects in California comes from the Department of Energy, EIA’s Form EIA-860 detailed data and is current as of September 2024. The data is reported based on Nameplate Capacity, which is defined as “The power performance of the energy storage system for a particular application.”
Data on the Grid connected Capacity comes from the California Independent System Operator (CAISO) generator interconnection queue, compiled from the project queue report. It only includes fully connected project capacity. Resource Interconnection Management System (RIMS) is the CAISO’s system for tracking several different interconnection processes at the CAISO. The reported capacity excludes energy only projects, and are predominantly deliverable. The power flow model submitted by the interconnection customer includes all VAR devices in the generating plant. In addition, the capacity includes reactive capability curve(s) for the generating units. If multiple capability curves are provided, the intended operating conditions to determine the capability will be specified, based on the CAISO reporting requirement and study process. The data is current as of 2023.
The total wait time is the time delta between the project application approved date and the project installation date. Data on the interconnection queue cumulative total capacity comes from the Lawrence Berkeley National Laboratory Queued Up 2025 Edition report.
Energy data are from the U.S. Department of Energy – EIA, International Energy Statistics and State Energy Data System. Data is for total primary energy consumption, in British Thermal Units (BTU), of petroleum, dry natural gas, coal, and net nuclear, hydroelectric, and non-hydroelectric renewable electricity. Energy productivity divides GDP by total energy consumption. Primary energy is in the form that it is first accounted for in a statistical energy balance, before any transformation to secondary or tertiary forms of energy (for example, coal is used to generate electricity). Calculations used GDP and Population data where applicable, as described above.
Electricity consumption data are from the U.S. Department of Energy – EIA, International Energy Statistics and State Energy Data System. For the United States, total electric power consumption is equal to the data in the Total column under End Use from Table 8.1 of the EIA’s Annual Energy Review. For all other countries except the United States, total electric power consumption is equal to total net electricity generation, plus electricity imports, less electricity exports and less electricity transmission and distribution losses. Data are reported as net consumption as opposed to gross consumption. Net consumption excludes the energy consumed by the generating units. Calculations used Population data where applicable, as described above.
Statewide residential electricity consumption data are from the EIA, State Energy Data System. Household facts data are from American Community Survey (ACS) conducted annually by the U.S. Census Bureau. A sample of over 3.5 million housing unit addresses is interviewed each year over a 12- month period. This Fact (household estimate) is based on one year of ACS sample data and describes the value of person, household, and housing unit characteristics over this period of collection.
Data on house heating fuel comes from the American Community Survey Public Use Microdata Samples (ACS PUMS). The ACS PUMS is a publicly available dataset, published annually, that allows for custom tabulations. The solar adoption rate is calculated as the number of homes by county using solar adoption as share of total number of homes, at the Public Use Microdata Samples areas.