Contains buyout declarations and buyout agreements filed at the Rent Board. Rent Ordinance Section 37.9E, effective March 7, 2015, is a new provision that regulates "buyout agreements" between landlords and tenants under which landlords pay tenants money or other consideration to vacate their rent-controlled rental units. For more information, please see: http://sfrb.org/new-ordinance-amendment-regulating-buyout-agreements
This report tracks the name and source/website of the articles referenced for each month shown. Titles with a department name at the end reflect information provided from the department website. The other articles are maintained by SF311 to supplement department data. Articles used by 311 in the course of creating service requests (such as graffiti handling processes) are not included. Metrics of knowledge use from September and October 2017 was inconsistent following the migration to a new system in September 2017. Additionally, the names of articles is different than article names prior to the upgrade. This dataset is updated monthly.
Land use categories for every parcel in San Francisco. The land use categories are derived from a range of City and commercial databases. Where building square footages were missing from these databases they were derived from a LIDAR survey flown in 2007.
Land use categories are as follows (units are square feet): CIE = Cultural, Institutional, Educational MED = Medical MIPS = Office (Management, Information, Professional Services) MIXED = Mixed Uses (Without Residential) MIXRES = Mixed Uses (With Residential) PDR = Industrial (Production, Distribution, Repair) RETAIL/ENT = Retail, Entertainment RESIDENT = Residential VISITOR = Hotels, Visitor Services VACANT = Vacant ROW = Right-of-Way OPENSPACE = Open Space
Other attributes are: RESUNITS = Residential Units BLDGSQFT = Square footage data YRBUILT = year built TOTAL_USES = Business points from Dun & Bradstreet were spatially aggregated to the closest parcel, and this field is the sum of the square footage fields The subsequent fields (CIE, MED, MIPS, RETAIL, PDER & VISITOR) were derived using the NAICS codes supplied in the Dun & Bradstreet dataset, and the previous TOTAL_USES column.
The determining factor for a parcel's LANDUSE is if the square footage of any non-residential use is 80% or more of its total uses. Otherwise it becomes MIXED.
In the case where RESIDENT use has some square footage of non-residential use, this is mainly accessory uses such as home businesses, freelancers, etc.
A. SUMMARY Count of COVID+ patients admitted to the hospital. Patients who are hospitalized and test positive for COVID-19 may be admitted to an acute care bed (a regular hospital bed), or an intensive care unit (ICU) bed. This data shows the daily total count of COVID+ patients in these two bed types, and the data reflects totals from all San Francisco Hospitals.
B. HOW THE DATASET IS CREATED Hospital information is based on admission data reported to the San Francisco Department of Public Health.
C. UPDATE PROCESS Updated daily, dataset uploaded manually by staff
D. HOW TO USE THIS DATASET Each record represents how many people were hospitalized on the date recorded in either an ICU bed or acute care bed (shown as Med/Surg under DPHCategory field).
Data shown here include all San Francisco hospitals and will be updated daily with a two-day lag as information is collected and verified. Data may change as more current information becomes available.
A child data set of --Mobile Food Facility Permit-- includes day of week, start / end time, location and a description of type of food sold by vendor. Mobile Food Facility Permit data is here: https://data.sfgov.org/d/rqzj-sfat
The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2010 Census blocks nest within every other 2010 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas.