This feature set contains jobs projections from Projections 2040 for the San Francisco Bay Region. This forecast represents job projections resulting from Plan Bay Area 2040. Numbers are provided by Census Tract. Jobs numbers are included for 2010 (two versions), 2015, 2020, 2025, 2030, 2035, and 2040. For 2010, two data points are provided:A tabulation (base year A) from the 2010 model simulation (base year A); and(Preferred) A tabulation (base year B) from the 2010 pre-run microdata, designed to approximate (but may still differ from) Census 2010 counts.Projection data is included for:Total jobsAgriculture and natural resources jobsFinancial and professional service jobsHealth, educational, and recreational service jobsRetail jobsManufacturing, wholesale, and transportation jobsInformation, government, and construction jobsThis feature set was assembled using unclipped Census Tract features. For those who prefer Projections 2040 data using jurisdiction features with ocean and bay waters clipped out, the data in this feature service can be joined to San Francisco Bay Region 2010 Census Tracts (clipped). Clipping the Census Tract features does result in the removal of some water tracts, which are usually empty, so there is a difference in the number of features between the two services.Other Projections 2040 feature sets:Households and population per countyHouseholds and population per jurisdiction (incorporated place and unincorporated county)Households and population per Census TractJobs and employment per countyJobs and employment per jurisdiction (incorporated place and unincorporated county)Female population, by age range, per countyFemale population, by age range, per jurisdiction (incorporated place and unincorporated county)Male population, by age range, per countyMale population, by age range, per jurisdiction (incorporated place and unincorporated county)Total population, by age range, per countyTotal population, by age range, per jurisdiction (incorporated place and unincorporated county)

This layer provides high utilization results where:A Public Level 2 charger that is located within an eighth of a mile of households, defined as walking distance, can adequately serve 5 EVs that likely lack home charging (3 EVs overnight on separate days and 2 EVs during the day)A Public DC fast charger that is located within two miles of households, defined as in the neighborhood, can adequately serve 30 EVs that likely lack home charging during the day (DC fast chargers would not be used for long-duration overnight charging) The quarter-mile hexagons show results that are based off model estimates: The "ev_no_walk" field can be used to identify areas for public Level 2 charging deployment that would capture charging demand within walking distance (1/8th mile) of households with EVs that likely lack home charging and also lack sufficient existing public Level 2 charging within walking distance. The "ev_no_2mi" field can be used to identify areas for public Level 2 and DC fast charging deployment that would capture charging demand within the neighborhood (2 miles) of households with EVs that likely lack home charging and also lack sufficient existing public Level 2 or DC fast charging within the neighborhood.Data dictionary:ObjectID: Unique IDsfh: Number of single-family homes (SFHs) estimated within the selected areamfh: Number of multifamily homes (MFHs) estimated within the selected areaall_veh: Number of vehicles estimated within the selected areavf_home: Number of electric vehicles (EVs) in a 100% EV future estimated to have home charging in the selected areavf_nohome: Number of electric vehicles (EVs) in a 100% EV future estimated to not have home charging in the selected areaev_home: Number of electric vehicles (EVs) estimated to have home charging within the selected areaev_no_home: Number of electric vehicles (EVs) estimated to not have home charging within the selected areaev_no_walk: Among electric vehicles (EVs) estimated to not have home charging within the selected area, number of EVs that also do not have sufficient public Level 2 charging within an 1/8th of a mile (or walking distance) from home within the selected areasfh_2mi: Number of single-family homes (SFHs) estimated that are 2 miles from the center of the selected areamfh_2mi: Number of multifamily homes (MFHs) estimated that are 2 miles from the center of the selected areaall_veh2mi: Number of 2024 vehicles estimated that are 2 miles from the center of the selected areavf_home2mi: Number of electric vehicles (EVs) in a 100% EV future estimated to have home charging that are 2 miles from the center of the selected areavf_nohome2: Number of electric vehicles (EVs) in a 100% EV future estimated to not have home charging that are 2 miles from the center of the selected areaev_home2mi: Number of electric vehicles (EVs) estimated to have home charging that are 2 miles from the center of the selected areaev_nohome2: Number of electric vehicles (EVs) estimated to not have home charging that are 2 miles from the center of the selected areaev_no_2mi: Number of electric vehicles (EVs) estimated to not have home charging and also do not have sufficient public Level 2 or direct-current (DC) fast charging within 2 miles from home that are 2 miles from the center of the selected areaShape_Length: Census tract shape area (square meters)Shape_Area: Census tract shape length (square meters)Data sources: Results are based off model estimates. See the 2025 SB 1000 Staff Report for a full description of data sources and methodology.

IMPORTANT NOTICE This item has moved to a new organization and entered Mature Support on February 3rd, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on June 27th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here A census metropolitan area (CMA) or a census agglomeration (CA) is formed by one or more adjacent municipalities centred on a population centre (known as the core). A CMA must have a total population of at least 100,000, based on data from the current Census of Population Program, of which 50,000 or more must live in the core based on adjusted data from the previous Census of Population Program. A CA must have a core population of at least 10,000 also based on data from the previous Census of Population Program. To be included in the CMA or CA, other adjacent municipalities must have a high degree of integration with the core, as measured by commuting flows derived from data on place of work from the previous Census Program.If the population of the core of a CA falls below 10,000, the CA is retired from the next census. However, once an area becomes a CMA, it is retained as a CMA even if its total population declines below 100,000 or the population of its core falls below 50,000. All areas inside the CMA or CA that are not population centres are rural areas. When a CA has a core of at least 50,000, based on data from the previous Census of Population, it is subdivided into census tracts. Census tracts are maintained for the CA even if the population of the core subsequently falls below 50,000. All CMAs are subdivided into census tracts.The CMA boundaries were obtained from the Statistics Canada website.