Roadways (streets and highways) for the San Francisco Bay Region. Feature set was assembled using all roads county-based 2021 TIGER/Line shapefiles by the Metropolitan Transportation Commission.The All Roads shapefiles includes all features within the Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB) Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.The feature set contains multiple overlapping road segments where a segment is associated with more than one road feature. For example, if a road segment is associated with US Route 36 and State Highway 7 and 28th Street, the route will contain three spatially coincident segments, each with a different name. The roadway feature set contains the set of unique road segments for each county, along with other linear features.Primary roads are generally divided limited-access highways within the Federal interstate highway system or under state management. Interchanges and ramps distinguish these roads, and some are toll highways.Secondary roads are main arteries, usually in the U.S. highway, state highway, or county highway system. These roads have one or more lanes of traffic in each direction, may or may not be divided, and usually have at-grade intersections with many other roads and driveways. They often have both a local name and a route number.

The Digital Geologic Map of the San Francisco North Quadrangle and part the Point Bonita Quadrangle, California is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: USGS. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (sfno_metadata.txt; available at http://nrdata.nps.gov/goga/nrdata/geology/gis/sfno_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (sfno_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 10N. That data is within the area of interest of Fort Point National Historic Site and Golden Gate National Recreation Area.

The Digital Geologic Map of San Francisco and parts of Oakland, California is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: USGS. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (sfoa_metadata.txt; available at http://nrdata.nps.gov/goga/nrdata/geology/gis/sfoa_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (sfoa_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 10N. That data is within the area of interest of Golden Gate National Recreation Area, Fort Point National Historic Site, Rosie the Riveter National Historical Park and San Francisco Maritime National Historical Park.

These data were automated to provide an accurate high-resolution historical shoreline of San Francisco Bay, CA suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS att...

Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

[Metadata] This feature class represents the special soil features that are delineated as one or more points. Downloaded statewide dataset from USDA/NRCS (https://www.nrcs.usda.gov/resources/data-and-reports/gridded-soil-survey-geographic-gssurgo-database) 11/28/23. It is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The features are linked to attributes in the featdesc attribute table. The map data are in a state-wide extent format.For more information, see metadata at https://files.hawaii.gov/dbedt/op/gis/data/soils.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

The California Association Local Agency Formation Commissions defines a sphere of influence (SOI) as "a planning boundary outside of an agency’s legal boundary (such as the city limit line) that designates the agency’s probable future boundary and service area." This feature set represents the SOIs of the incorporated jurisdictions for the San Francisco Bay Region. The Metropolitan Transportation Commission (MTC) updated the feature set in late 2019 as part of the jurisdiction review process for the BASIS data gathering project. Changes were made to the growth boundaries of the following jurisdictions based on BASIS feedback and associated work: Antioch, Brentwood, Campbell, Daly City, Dublin, Fremont, Hayward, Los Gatos, Monte Sereno, Newark, Oakland, Oakley, Pacifica, Petaluma, Pittsburg, Pleasanton, San Bruno, San Francisco (added to reflect other jurisdictions whose SOI is the same as their jurisdiction boundary), San Jose, San Leandro, Santa Clara, Saratoga, and Sunnyvale. Notes: With the exception of San Mateo and Solano Counties, counties included jurisdiction (city/town) areas as part of their SOI boundary data. San Mateo County and Solano County only provided polygons representing the SOI areas outside the jurisdiction areas. To create a consistent, regional feature set, the Metropolitan Transportation Commission (MTC) added the jurisdiction areas to the original, SOI-only features and dissolved the features by name.Because of differences in base data used by the counties and the MTC, edits were made to the San Mateo County and Solano County SOI features that should have been adjacent to their jurisdiction boundary so the dissolve function would create a minimum number of features. Original sphere of influence boundary acquisitions:Alameda County - CityLimits_SOI.shp received as e-mail attachment from Alameda County Community Development Agency on 30 August 2019 Contra Costa County - BND_LAFCO_Cities_SOI.zip downloaded from https://gis.cccounty.us/Downloads/Planning/ on 15 August 2019Marin County - 'Sphere of Influence - City' feature service data downloaded from Marin GeoHub on 15 August 2019Napa County - city_soi.zip downloaded from their GIS Data Catalog on 15 August 2019 City and County of San Francisco - does not have a sphere of influence San Mateo County - 'Sphere of Influence' feature service data downloaded from San Mateo County GIS open data on 15 August 2019 Santa Clara County - 'City Spheres of Influence' feature service data downloaded from Santa Clara County Planning Office GIS Data on 15 August 2019 Solano County - SphereOfInfluence feature service data downloaded from Solano GeoHub on 15 August 2019 Sonoma County - 'SoCo PRMD GIS Spheres Influence.zip' downloaded from County of Sonoma on 15 August 2019

This is an ESRI (ArcGIS) shapefile of a 50 km buffer surrounding the Upper San Francisco Estuary hydrodynamic subregions (see GIS Shapefile of Hydrodynamic Subregions of the Upper San Francisco Estuary data package). Contaminants can also be imported to the Estuary from upstream sources. As a rule-of-thumb, water travels approximately 50 km (30 miles) in a day. Therefore I delineated a drainage area that extends 50 km upstream from the boundary of the subregions (or until reaching the watershed divide where streams drain the western slope of the Coast Ranges directly into San Francisco Bay. This buffer area does not overlap with or include the hydrodynamic subregions.

Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

This is an ESRI (ArcGIS) shapefile of the hydrodynamic subregions of the Upper San Francisco Estuary, California, as sketched conceptually by the Delta Regional Ecosystem Restoration Implementation Plan team (J. Burau, USGS, unpublished data). It was digitized from a drawing to allow for general level assessments of land use and other environmental effects within ecologically meaningful spatial units.

These data provide an accurate high-resolution shoreline compiled from imagery of Port of San Francisco, CA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attr...

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

The California State Water Resources Control Board is currently in the process of improving the functionality and accessibility of information residing in their Water Quality Control Plans (aka Basin Plans). In order to achieve this, the data (i.e. statewide water quality objectives, beneficial uses, applicable TMDLs, etc.), are being transferred to a standardized digital format and linked to applicable surface water features. This dataset is limited to the beneficial uses data, while the water quality objectives, applicable TMDLs, etc. will be released at a later date. Data formats will include GIS data layers and numerous nonspatial data tables. The GIS layers contain hydrography features derived from a 2012 snapshot of the high-resolution (1:24000 scale) National Hydrography Dataset with added attribution. Nonspatial tables will contain various textual and numeric data from the Regional Basin and State Plans. The extent of the dataset covers the state of California and the non-spatial tables reflect the information and elements from the various plans used up to 2020. The GIS layers and associated attribution will enable the future integration of the various elements of the Basin Plans to ensure that all applicable Basin Plan requirements for a particular waterbody can be determined in a quick and precise manner across different modern mediums. The data are being managed and the project implemented by State and Regional Water Board staff using ESRI's ArcGIS Server and ArcSDE technology.

A. SUMMARYThis data represents the boundaries of City-owned lands maintained in the City's Facility System of Record (FSR). Note: Not all lands are within the City and County proper. The City owns properties outside of its boundaries, including lands managed by SF Recreation and Parks, SF Public Utilities Commission, and other agencies. Certain lands are managed by following agencies which are not directly part of the City and County of San Francisco, but are included here for reference: San Francisco Housing Authority (SFHA), San Francisco Office of Community Investment and Infrastructure (OCII), and City College of San Francisco.B. HOW THE DATASET IS CREATEDThe Enterprise GIS program in the Department of Technology is the technical custodian of the FSR. This team creates and maintains this dataset in conjunction with the Real Estate Division and the Capital Planning Program of the City Administrator’s Office, who act as the primary business data stewards for this data. C. UPDATE PROCESSThere are a handful of events that may trigger changes to this dataset:1. The sale of a property2. The leasing of a property3. The purchase of a property4. The change in jurisdiction of a property (e.g. from MTA to DPW)5. The removal or improvement of the propertyEach of these changes triggers a workflow that updates the FSR. The Real Estate Division and Capital Planning make updates on an ongoing basis. The full dataset is reviewed quarterly to ensure nothing is missing or needs to be corrected. Updates to the data, once approved, are immediately reflected in the internal system and are updated here in the open dataset on a monthly basis.D. HOW TO USE THIS DATASETSee here for an interactive map of all the City lands in this dataset. To track the facilities on City lands, join this dataset to the City Facilities dataset using the land_id field. If you see an error in the data, you can submit a change request with the relevant information to dtis.helpdesk@sfgov.org. Please be as specific about the error as you can (including relevant land_id(s)). E. RELATED DATASETSCity FacilitiesData pushed to ArcGIS Online on November 1, 2025 at 6:00 AM by SFGIS.Data from: https://data.sfgov.org/d/gtnh-hgvsDescription of dataset columns:

 land_id
 Unique Identifier


 land_name
 Name of land. i.e., property owned by City and County of San Francisco


 dept_id
 Foreign key to Department table in Facility System of Record (FSR) database


 address
 Address of City Land


 city
 Address City


 zip
 Address ZIP Code


 category
 Category of department (useful for mapping purposes)


 department_name
 Name of Department with Jurisdiction


 shape
 Geometry of City Land encoded as multipolygon


 data_last_updated
 Timestamp when the record (row) was last updated in the source system


 data_as_of
 Timestamp when the record (row) was last refreshed in the source system


 data_loaded_at
 Timestamp when the record (row) was was last updated here (in the data portal)

Note: If no description was provided by DataSF, the cell is left blank. See the source data for more information.

This GIS layer (zipped shapefile format) includes all open space boundaries. Boundaries that have been vetted by Planning for the purposes of conducting shadow impact analyses are attributed with a 'Y' in the [vetted] field. To confirm boundaries for open spaces that are not vetted in this layer, please contact the assigned environmental coordinator or current planner.

List of streets by block (street segment) accepted for maintenance

CDFW BIOS GIS Dataset, Contact: Andrew Weltz, Description: Polyline shapefile provides one-dimensional representation of herring spawn areas in shoreline areas of the San Francisco Bay.

This report is a digital database package containing both plotfiles and Geographic Information Systems (GIS) databases of shaded relief maps of the San Francisco Bay Region. The data are provided for both the entire region and each county within the region, in two formats. The data is provided as ARC/INFO (Environmental Systems Research Institute, Redlands, CA) GRIDs for use in GIS packages, and as PostScript plotfiles of formatted maps similar to traditional U.S. Geological Survey map products.

[Summary provided by the USGS.]

This dataset contains locations and schedules of regular tow-away zones which apply at the blockface-level in San Francisco.