This dataset contains the Tier II data for CA, specifically San Francisco Bay Area. This data is current as of 2013. This dataset contains the location data for the Tier II compliant facilities for state of CA, specifically San Francisco Bay Area. This data is current as of 2013.

SUMMARY This dataset includes the locations of businesses that pay taxes to the City and County of San Francisco. Each registered business may have multiple locations and each location is a single row. The Treasurer & Tax Collector’s Office collects this data through business registration applications, account update/closure forms, and taxpayer filings. Business locations marked as “Administratively Closed” have not filed or communicated with TTX for 3 years, or were marked as closed following a notification from another City and County Department. The data is collected to help enforce the Business and Tax Regulations Code including, but not limited to: Article 6, Article 12, Article 12-A, and Article 12-A-1. http://sftreasurer.org/registration. To learn more about using this dataset watch this video. To update your listing or look up your BAN see this FAQ: Registered Business Locations Explainer

,Note: The schema changed in February 2025 - please see below. We will post a roadmap of upcoming changes, but service URLs and schema are now stable. For deployment status of new services beginning in February 2025, see https://gis.data.ca.gov/pages/city-and-county-boundary-data-status. Additional roadmap and status links at the bottom of this metadata.,Purpose City boundaries along with third party identifiers used to join in external data. Boundaries are from the California Department of Tax and Fee Administration (CDTFA). These boundaries are the best available statewide data source in that CDTFA receives changes in incorporation and boundary lines from the Board of Equalization, who receives them from local jurisdictions for tax purposes. Boundary accuracy is *not* guaranteed, and though CDTFA works to align boundaries based on historical records and local changes, errors will exist. If you require a legal assessment of boundary location, contact a licensed surveyor.,This dataset joins in multiple attributes and identifiers from the US Census Bureau and Board on Geographic Names to facilitate adding additional third party data sources. In addition, we attach attributes of our own to ease and reduce common processing needs and questions. Finally, coastal buffers are separated into separate polygons, leaving the land-based portions of jurisdictions and coastal buffers in adjacent polygons. This feature layer is for public use.,,Related Layers,This dataset is part of a grouping of many datasets:,Point of Contact,California Department of Technology, Office of Digital Services, odsdataservices@state.ca.gov,,,Field and Abbreviation Definitions,,,CDTFA's source data notes the following about accuracy:,,,,,

A. SUMMARY An inventory of traffic signals, flashing beacons, and related equipment located throughout San Francisco. B. METHODOLOGY Imported from the Signals Access database which is maintained by the SFMTA signal shop. C. UPDATE FREQUENCY Signals Access database updated regularly (quarterly) based on SRC work orders returned to date. GIS file updated quarterly.

A. SUMMARY Census tracts boundaries in San Francisco county. Census tracts are small, relatively permanent statistical subdivisions of a county. They are uniquely numbered in each county with a numeric code. Census tracts average about 4,000 inhabitants ranging from 1,200 – 8,000. More information on the census tracts can be found here. B. HOW THE DATASET IS CREATED The boundaries are uploaded from TIGER/Line shapefiles provided by the U.S. Census Bureau. C. UPDATE PROCESS This dataset is static. Changes to the census tract boundaries are tracked in multiple datasets. See here for 2000 and 2010 census tract boundaries. D. HOW TO USE THIS DATASET This boundary file can be joined to other census datasets on GEOID. E. RELATED DATASET 2020 Census Tracts and Analysis Neighborhoods

A. SUMMARY This dataset contains a preliminary inventory of artificial intelligence (AI) systems declared by departments within the City and County of San Francisco (CCSF), as part of compliance with Chapter 22J of the Administrative Code. Chapter 22J requires departments and vendors to answer 22 standardized questions about AI technologies that are in use—excluding those used solely for internal administration or cybersecurity purposes. This is an initial release and may not yet reflect a complete list. A comprehensive, citywide inventory will be published by January 2026. For more information, see the full ordinance: Chapter 22J – Artificial Intelligence Tools B. HOW THE DATASET IS CREATED Each City department is required to annually submit an AI inventory as part of their compliance with Chapter 22J. Departments complete a standardized intake form that captures key details about each AI system in use or under consideration. The submitted inventories are reviewed and consolidated by the Department of Technology C. UPDATE PROCESS The full dataset of AI technologies and uses will be published by Jan 2026 and updated every two years D. HOW TO USE THIS DATASET Each row represents an individual AI technology reported by a City department, along with details about its use. The dataset includes 22 columns corresponding to the required questions outlined in Chapter 22J

A. SUMMARY This data is an annual snapshot of existing land use as of March of the indicated year for every parcel in the City and County of San Francisco. This year's 2023 data was produced from the Land Use 2020, updated for residential properties using the Planning Department's permit database and current 2023 Assessor-Recorder data. The commercial data was not updated; the commercial data will be updated in next year's 2024 release. Each row of data corresponds to a parcel with 16 columns (fields or attributes) of information about each parcel, as described below. B. HOW THE DATASET IS CREATED The dataset is assembled from a range of City and commercial databases, including Assessor’s office and Dun & Bradstreet for commercial land uses. C. UPDATE PROCESS A new dataset will be added annually without updating previous years’ data. D. HOW TO USE THIS DATASET Review this document to understand the data (fields and their categories): Land Use Database 2023 Summary Limitations: Although every attempt is made to provide accurate data, the volume of data and parcels does not allow the Department to guarantee accuracy. Should errors be found, or questions arise, please email rebecca.latto@sfgov.org. E. RELATED DATASETS San Francisco Land Use - 2020

This dataset contains Bay Area Rapid Transportation (BART) Stop Points, San Francisco Bay CA. This dataset is current as of 2015.

A. SUMMARY This dataset contains San Francisco Board of Supervisor district boundaries approved by the San Francisco Redistricting Task Force in April 2022 following redistricting based on the 2020 Decennial Census. B. HOW THE DATASET IS CREATED The dataset was created from the final map submitted by the San Francisco Redistricting Task Force. Boundaries in this map were decided using data from the 2020 Census on the number of people living in each census block in the City and County. This data includes the number of individuals incarcerated in facilities under the control of the Department of Corrections and Rehabilitation based on their last known residential address. This information is made available by the Statewide Database based on U.S. Census Bureau Census Redistricting Data (P.L. 94-171). These map boundaries were trimmed to align with the city and county's physical boundaries for greater usability. This trimming mainly consisted of excluding the water around the City and County from the boundaries. C. UPDATE PROCESS Supervisor District boundaries are updated every 10 years following the federal decennial census. The Supervisor District boundaries reflected in this dataset will remain unchanged. A new dataset will be created after the next decennial census and redistricting process are completed. The dataset is manually updated as new members of the Board of Supervisors take office. The most recent manual update date is reflected in the 'data_as_of' field. Once the redistricting process is completed after the next decennial census and a new dataset is published, this dataset will become static and will no longer be updated. D. HOW TO USE THIS DATASET This dataset can be joined to other datasets for analysis and reporting at the Supervisor District level. If you are building an automated reporting pipeline using Socrata API access, we recommend using this dataset if you'd like your boundaries to remain static. If you would like the boundaries to automatically update after each decennial census to reflect the most recent Supervisor District boundaries, see the Current Supervisor Districts dataset or the Current Supervisor Districts (trimmed to remove water and other non-populated City territories) dataset. E. RELATED DATASETS Supervisor Districts (2012) Current Supervisor Districts Current Supervisor Districts (trimmed to remove water and non-populated areas)