This is a digital Seismic Hazard Zone Map presenting areas where liquefaction and landslides may occur during a strong earthquake. Three types of geological hazards, referred to as seismic hazard zones, may be featured on the map: 1) liquefaction, 2) earthquake-induced landslides, and 3) overlapping liquefaction and earthquake-induced landslides. Developers of properties falling within any of the three zones may be required to investigate the potential hazard and mitigate its threat during the local permitting process.
Fire Incidents includes a summary of each (non-medical) incident to which the SF Fire Department responded. Each incident record includes the call number, incident number, address, number and type of each unit responding, call type (as determined by dispatch), prime situation (field observation), actions taken, and property loss.
The Health Department has developed an inspection report and scoring system. After conducting an inspection of the facility, the Health Inspector calculates a score based on the violations observed. Violations can fall into:high risk category: records specific violations that directly relate to the transmission of food borne illnesses, the adulteration of food products and the contamination of food-contact surfaces.moderate risk category: records specific violations that are of a moderate risk to the public health and safety.low risk category: records violations that are low risk or have no immediate risk to the public health and safety.The score card that will be issued by the inspector is maintained at the food establishment and is available to the public in this dataset.
San Francisco's LIVES restaurant inspection data leverages the LIVES Flattened Schema (https://goo.gl/c3nNvr), which is based on LIVES version 2.0, cited on Yelp's website (http://www.yelp.com/healthscores).
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.
San Francisco Campaign and Governmental Conduct Code ("S.F. C&GC Code") sections 1.143(c), 1.152(a)(3), 1.161(b), 1.161.5, and 1.160.5 require persons who make any independent expenditure, electioneering communication, or member communication that clearly identifies a candidate for City elective office or who authorizes, administers or pays for a persuasion poll to file disclosure statements with the Ethics Commission. For detailed instructions, please see Third Party Disclosure Form Regarding Candidates.
A. SUMMARY San Francisco International Airport Report on Monthly Passenger Traffic Statistics by Airline.
B. HOW THE DATASET IS CREATED Data is self-reported by airlines and is only available at a monthly level
C. UPDATE PROCESS Data updated quarterly
D. HOW TO USE THIS DATASET Airport data is seasonal in nature, therefore any comparative analyses should be done on a period-over-period basis (i.e. January 2010 vs. January 2009) as opposed to period-to-period (i.e. January 2010 vs. February 2010). It is also important to note that fact and attribute field relationships are not always 1-to-1. For example, Passenger Counts belonging to United Airlines will appear in multiple attribute fields and are additive, which provides flexibility for the user to derive categorical Passenger Counts as desired.
Data updated 8/27/2021. The Existing Buildings Energy Performance Ordinance (Environment Code Chapter 20) requires that each non-residential building with at least 10,000 square feet of conditioned (heated or cooled) space and each residential building with at least 50,000 square feet of conditioned space must be benchmarked using Energy Star Portfolio Manager annually. Each non-residential building specified above is also required to undergo an energy audit or retrocommissioning at least once every 5 years.
More information: www.sfenvironment.org/ebo. This dataset lists compliance status for private-sector (non-municipal) properties where the owner has been notified a building is subject to the ordinance. Fields reported have expanded as of early October 2015 to include energy use intensity, the 1-100 Portfolio Manager rating, and estimated greenhouse gas emissions from annual energy consumption.