Map 1 Current Land Use San Francisco
This dataset falls under the category Traffic Generating Parameters Land Cover.
It contains the following data: PPOT SAN FRANCISCO
This dataset was scouted on 2022-02-23 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://dpu.mupa.gob.pa/wp-content/uploads/2017/06/PPOTSF_F1_01_Mapa_Usos-actual-del-suelo.pdfSee URL for data access and license information.

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 October 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.

Recorded parcel geography, only showing active parcels, with date recorded parcel was added, date recorded parcel was dropped/retired, date was added, dropped or altered re map layer. Contains geography created since the inception of the basemap in 1995, with some exceptions. Zoning District columns reflect current zoning.This data has been filtered to only include active parcels. Data pushed to ArcGIS Online on October 10, 2025 at 5:19 AM by SFGIS.Data from: https://data.sfgov.org/d/acdm-wktnDescription of dataset columns:

 mapblklot
 For parcels that are condominium lots and share the same 2D space, this is the lowest value Assessor Parcel Number in the set.


 blklot
 Unique Assessor Parcel Number, combination of the Block Number and the Lot Number


 block_num
 Assessor Block Number


 lot_num
 Assessor Lot Number


 from_address_num
 From Address Number, i.e., the lowest address house number


 to_address_num
 To Address Number, i.e., the highest address house number


 street_name
 Street Name


 street_type
 Street Type, or suffix (e.g., ST, BLVD, etc.)


 odd_even
 Odd or Even Address Number Range


 in_asr_secured_roll
 Indicates the record is in the current Assessor Secured Roll


 pw_recorded_map
 Indicates the record is part of the current Public Works basemap dataset, based on recorded map information.


 zoning_code
 Zoning Code - based on City Planning data


 zoning_district
 Zoning District Name - based on City Planning data


 date_rec_add
 This is the date that the documents related the to addition of the parcel was recorded, as tracked by Public Works.


 date_rec_drop
 This is the date that the documents related the to dropping/retiring of the parcel was recorded, as tracked by Public Works.


 date_map_add
 This is the date that Public Works adding the parcel geography.


 date_map_drop
 This is the date that Public Works dropped the parcel geography.


 date_map_alt
 This is the date that Public Works altered the parcel geography.


 project_id_add
 This is the project identifier for the Public Works project related to the addition of the parcel.


 project_id_drop
 This is the project identifier for the Public Works project related to the dropping/retiring of the parcel.


 project_id_alt
 This is the project identifier for the Public Works project related to the altering of the parcel.


 active



 shape
 The geometry, multipolygon format


 centroid_latitude
 The centroid latitude of the parcel


 centroid_longitude
 The centroid longitude of the parcel


 supdist
 Full name of Supervisorial District.


 supervisor_district
 Supervisor District Number


 supdistpad
 Supervisor District Number with zero padding (01,02,...)


 numbertext
 Supervisor District Number as text (ONE, TWO, ...)


 supname
 Name of current Supervisor of District.


 analysis_neighborhood
 San Francisco Neighborhood for analysis, per DataSF.


 police_district
 The corresponding SFPD district.


 police_company
 The corresponding SFPD district company.


 planning_district
 These are grouping of census tracts. Planning Districts are used in various areas of the Planning process, mainly for analysis and management but are also in some parts of the General Plan.


 planning_district_number
 The number corresponding Planning District field.


 data_as_of
 Timestamp the data was last updated in the source system


 data_loaded_at
 Timestamp the data was loaded to the open data portal

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

A. SUMMARY This dataset delineates parcels with “Taxable Commercial Space” - meaning parcels where one or more property owner(s) and/or commercial tenant(s) are required to file or pay the Commercial Vacancy Tax. The dataset includes the Block, Lot, Parcel Number and Parcel Situs Address for each commercial parcel within the named Districts. Information about each filing received for the parcel is included, such as Filer Type (Owner / Tenant), Filer Name, Parcel Situs Address from the Filing, and Tax Year filed. The dataset also includes whether a parcel is vacant, and if so, the tax rate applied. A single parcel may have multiple addresses and/or filings depending on the number of units and access points. Parcels marked as vacant either reported as vacant in the tax filing or were determined to be vacant by the Tax Collector. All information displayed is subject to audit by the Tax Collector. If you are a taxpayer and need to update the information displayed, you should re-file https://sftreasurer.org/CommercialVacancy or contact the Tax Collector for assistance. If you wish to share information about a vacant property subject to the Commercial Vacancy Tax with the Tax Collector to assist with enforcement, visit https://sftreasurer.org/report-vacant-commercial-property B. HOW THE DATASET IS CREATED This dataset delineates parcels with “Taxable Commercial Space” - meaning parcels where one or more property owner(s) and/or commercial tenant(s) are required to file or pay the Commercial Vacancy Tax. The dataset includes the Block, Lot, Parcel Number and Parcel Situs Address for each commercial parcel within the named Districts. Information about each filing received for the parcel is included, such as Filer Type (Owner / Tenant), Filer Name, Parcel Situs Address from Filing, Tax Year filed, whether the filer reported a vacancy, and if so, the tax rate applied. A single parcel may have multiple addresses and/or filings depending on the number of units and access points. The information displayed is reported by the taxpayers and subject to audit by the Tax Collector. C. UPDATE PROCESS Data will be refreshed daily until further notice. D. HOW TO USE THIS DATASET The Commercial Vacancy Tax dataset provides detailed information on commercial properties in San Francisco’s designated Neighborhood Commercial Districts and Neighborhood Commercial Transit Districts that are subject to the Commercial Vacancy Tax. This dataset includes key identifiers such as Block, Lot, Parcel Number, and Situs Address for each commercial parcel. It also lists information for each filing received from property owners, and tenants, including whether the filer reported a space as vacant and, if so, the applicable tax rate. Users can utilize this dataset to identify vacant commercial spaces and assess tax compliance. E. RELATED DATASETS Registered business _location – San Francisco San Francisco Property Information Map Assessor Block Maps F. KNOWN USES The Commercial Vacancy Tax dataset is primarily used by the San Francisco Office of the Treasurer & Tax Collector to monitor compliance with the city’s Commercial Vacancy Tax ordinance. It supports enforcement by identifying Commercial Space that may be subject to the tax and verifying reported vacancy status. Additionally, researchers, journalists, and community organizations access the data to study the impacts of vacant storefronts.

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 project traces the history of urban planning in San Francisco, placing special emphasis on unrealized schemes. Rather than using visual material simply to illustrate outcomes, Imagined San Francisco uses historical plans, maps, architectural renderings, and photographs to show what might have been. By enabling users to layer a series of urban plans, the project presents the city not only as a sequence of material changes, but also as a contingent process and a battleground for political power. Savvy institutional actors--like banks, developers, and many public officials--understood that in some cases to clearly articulate their interests would be to invite challenges. That means that textual sources like newspapers and municipal reports are limited in what they can tell researchers about the shape of political power. Urban plans, however, often speak volumes about interests and dynamics upon which textual sources remain silent. Mortgage lenders, for example, apparently thought it unwise to state that they wished to see a poor neighborhood cleared, to be replaced with a freeway onramp. Yet visual analysis of planning proposals makes that interest plain. So in the process of showing how the city might have looked, Imagined San Francisco also shows how political power actually was negotiated and exercised.

San Francisco County/city, CA - Market Hotness: Listing Views per Property in San Francisco County, CA was -0.18298 % Chg. from Yr. Ago in August of 2025, according to the United States Federal Reserve. Historically, San Francisco County/city, CA - Market Hotness: Listing Views per Property in San Francisco County, CA reached a record high of 44.78914 in April of 2020 and a record low of -31.10824 in May of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for San Francisco County/city, CA - Market Hotness: Listing Views per Property in San Francisco County, CA - last updated from the United States Federal Reserve on September of 2025.

San Francisco County/city, CA - Market Hotness: Listing Views per Property in San Francisco County, CA was 11.80676 % Chg. in August of 2025, according to the United States Federal Reserve. Historically, San Francisco County/city, CA - Market Hotness: Listing Views per Property in San Francisco County, CA reached a record high of 63.51104 in January of 2021 and a record low of -29.07540 in June of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for San Francisco County/city, CA - Market Hotness: Listing Views per Property in San Francisco County, CA - last updated from the United States Federal Reserve on October of 2025.

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

These footprint extents are collapsed from an earlier 3D building model provided by Pictometry of 2010, and have been refined from a version of building masses publicly available on the open data portal for over two years.The building masses were manually split with reference to parcel lines, but using vertices from the building mass wherever possible.These split footprints correspond closely to individual structures even where there are common walls; the goal of the splitting process was to divide the building mass wherever there was likely to be a firewall. An arbitrary identifier was assigned based on a descending sort of building area for 177,023 footprints. The centroid of each footprint was used to join a property identifier from a draft of the San Francisco Enterprise GIS Program's cartographic base, which provides continuous coverage with distinct right-of-way areas as well as selected nearby parcels from adjacent counties. See accompanying document SF_BldgFoot_2017-05_description.pdf for more on methodology and motivationData pushed to ArcGIS Online on October 5, 2025 at 4:28 AM by SFGIS.Data from: https://data.sfgov.org/d/ynuv-fyniDescription of dataset columns:

 sf16_bldgid
 San Francisco Building ID using criteria of 2016-09, 6-char epoch, '.' , 7-char zero-padded AreaID or new ID in editing epochs after initial '201006.'


 area_id
 Epoch 2010.06 Shape_Area sort of 177,023 building polygons with area > ~1 sq m


 mblr
 San Francisco property key: Assessor's Map-Block-Lot of land parcel, plus Right-of-way area identifier derived from street Centerline Node Network (CNN)


 p2010_name
 Pictometry 2010 building name, if any


 p2010_zminn88ft
 Input building mass (of 2010,) minimum Z vertex elevation, NAVD 1988 ft


 p2010_zmaxn88ft
 Input building mass (of 2010,) maximum Z vertex elevation, NAVD 1988 ft


 gnd_cells50cm
 zonal statistic: LiDAR-derived ground surface grid, population of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 gnd_mincm
 zonal statistic: LiDAR-derived ground surface grid, minimum value of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 gnd_maxcm
 zonal statistic: LiDAR-derived ground surface grid, maximum value of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 gnd_rangecm
 zonal statistic: LiDAR-derived ground surface grid, maximum value of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 gnd_meancm
 zonal statistic: LiDAR-derived ground surface grid, mean value of 50cm square cells sampled in this building's zone, from integer NAVD 1988 centimeters


 gnd_stdcm
 zonal statistic: LiDAR-derived ground surface grid, 1 standard deviation of 50cm square cells sampled in this building's zone, centimeters


 gnd_varietycm
 zonal statistic: LiDAR-derived ground surface grid, count of unique values of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 gnd_majoritycm
 zonal statistic: LiDAR-derived ground surface grid, most frequently occuring value of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 gnd_minoritycm
 zonal statistic: LiDAR-derived ground surface grid, least frequently occuring value of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 gnd_mediancm
 zonal statistic: LiDAR-derived ground surface grid, median value of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 cells50cm_1st
 zonal statistic: LiDAR-derived first return surface grid, population of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 mincm_1st
 zonal statistic: LiDAR-derived first return surface grid, minimum value of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 maxcm_1st
 zonal statistic: LiDAR-derived first return surface grid, maximum value of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 rangecm_1st
 zonal statistic: LiDAR-derived first return surface grid, maximum value of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 meancm_1st
 zonal statistic: LiDAR-derived first return surface grid, mean value of 50cm square cells sampled in this building's zone, from integer NAVD 1988 centimeters


 stdcm_1st
 zonal statistic: LiDAR-derived first return surface grid, 1 standard deviation of 50cm square cells sampled in this building's zone, centimeters


 varietycm_1st
 zonal statistic: LiDAR-derived first return surface grid, count of unique values of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 majoritycm_1st
 zonal statistic: LiDAR-derived first return surface grid, most frequently occuring value of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 minoritycm_1st
 zonal statistic: LiDAR-derived first return surface grid, least frequently occuring value of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 mediancm_1st
 zonal statistic: LiDAR-derived first return surface grid, median value of 50cm square cells sampled in this building's zone, integer NAVD 1988 centimeters


 hgt_cells50cm
 zonal statistic: LiDAR-derived height surface grid, population of 50cm square cells sampled in this building's zone, integer centimeters


 hgt_mincm
 zonal statistic: LiDAR-derived height surface grid, minimum value of 50cm square cells sampled in this building's zone, integer centimeters


 hgt_maxcm
 zonal statistic: LiDAR-derived height surface grid, maximum value of 50cm square cells sampled in this building's zone, integer centimeters


 hgt_rangecm
 zonal statistic: LiDAR-derived height surface grid, maximum value of 50cm square cells sampled in this building's zone, integer centimeters


 hgt_meancm
 zonal statistic: LiDAR-derived height surface grid, mean value of 50cm square cells sampled in this building's zone, from integer centimeters


 hgt_stdcm
 zonal statistic: LiDAR-derived height surface grid, 1 standard deviation of 50cm square cells sampled in this building's zone, centimeters


 hgt_varietycm
 zonal statistic: LiDAR-derived height surface grid, count of unique values of 50cm square cells sampled in this building's zone, integer centimeters


 hgt_majoritycm
 zonal statistic: LiDAR-derived height surface grid, most frequently occuring value of 50cm square cells sampled in this building's zone, integer centimeters


 hgt_minoritycm
 zonal statistic: LiDAR-derived height surface grid, least frequently occuring value of 50cm square cells sampled in this building's zone, integer centimeters


 hgt_mediancm
 zonal statistic: LiDAR-derived height surface grid, median value of 50cm square cells sampled in this building's zone, integer centimeters


 gnd_min_m
 summary statistic: zonal minimum ground surface height, NAVD 1988 meters


 median_1st_m
 summary statistic: zonal median first return surface height, NAVD 1988 meters


 hgt_median_m
 summary statistic: zonal median height surface value, meters


 gnd1st_delta
 summary statistic: discrete difference of (median first return surface -- minimum bare earth surface) for the building's zone, meters


 peak_1st_m
 summary statistic: highest cell value of first return surface in the building's zone, NAVD 1988 meters


 globalid
 Global Identifier


 shape
 Multi-Polygon geography


 data_as_of
 Timestamp the data was updated in the source system


 data_loaded_at
 Timestamp the data was loaded to the open data portal

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

Snapshot of San Francisco Development Pipeline. Tracking of construction and entitlement activity based on data from Dept of Building Inspection's Permit Tracking and the Planning Department's Case Tracking enterprise databases, processed quarterly.

Market Hotness: Listing Views per Property Versus the United States in San Francisco County/city, CA was 0.83148 Ratio in July of 2025, according to the United States Federal Reserve. Historically, Market Hotness: Listing Views per Property Versus the United States in San Francisco County/city, CA reached a record high of 2.45240 in December of 2016 and a record low of 0.42574 in May of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Market Hotness: Listing Views per Property Versus the United States in San Francisco County/city, CA - last updated from the United States Federal Reserve on September of 2025.

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