Summary List of street blocks with parking meters.

Last known occupancy state of those City of Los Angeles Parking Meters equipped with occupancy detector sensors. Updated in real-time, as available. See "LADOT Metered Parking Inventory & Policies" dataset for location and parking policy details.

This dataset will replace the previous version of this dataset, which will no longer be updated. A. SUMMARY San Francisco’s Existing Buildings Energy Performance Ordinance requires owners of non-residential buildings over 10,000 square feet to annually benchmark and disclose energy performance. On behalf of City agencies, the San Francisco Public Utilities Commission (SFPUC) benchmarks and reports energy use for a portfolio of approximately 500 public facilities buildings. The performance of public facilities can be examined in an interactive report at https://bit.ly/SFMunicipalBenchmarking, and annual reports from 2011-present are available there as well. This dataset presents the energy performance and basic characteristics for public facilities that is visualized by the SFPUC’s interactive report. In addition, energy performance data for non-municipal buildings (i.e. commercial buildings of 10,000 square feet or larger, and multifamily & mixed-use buildings of 50,000 square feet or larger) is available at: https://bit.ly/ExistingBuildingsReport B. HOW THE DATASET IS CREATED In compliance with California Energy Benchmarking Regulations (CA Public Resources Code Section 25402.10 and CCR Title 20 Section 1680), and San Francisco Existing Buildings Energy Ordinance (Environment Code Chapter 20), the San Francisco Public Utilities Commission provides energy benchmarking services on behalf of municipal facilities. Details for public facilities are compiled from city records, and energy usage is compiled from utility records; related metrics such as energy use intensity are calculated from the combination of such records. Data is subjected to quality assurance validation prior to publication. For additional information regarding data sources and assumptions, please review the "Data Sources and Assumptions" page of the Municipal Facilities Energy Benchmarking dashboard: https://bit.ly/SFMunicipalBenchmarking. C. UPDATE PROCESS Updated Annually, but any adjustments may be made throughout the year. E. RELATED DATASETS Existing Buildings Energy Performance Ordinance Report

A. SUMMARY This dataset includes data on a variety of substance use services funded by the San Francisco Department of Public Health (SFDPH). This dataset only includes Drug MediCal-certified residential treatment, withdrawal management, and methadone treatment. Other private non-Drug Medi-Cal treatment providers may operate in the city. Withdrawal management discharges are inclusive of anyone who left withdrawal management after admission and may include someone who left before completing withdrawal management. This dataset also includes naloxone distribution from the SFDPH Behavioral Health Services Naloxone Clearinghouse and the SFDPH-funded Drug Overdose Prevention and Education program. Both programs distribute naloxone to various community-based organizations who then distribute naloxone to their program participants. Programs may also receive naloxone from other sources. Data from these other sources is not included in this dataset. Finally, this dataset includes the number of clients on medications for opioid use disorder (MOUD). The number of people who were treated with methadone at a Drug Medi-Cal certified Opioid Treatment Program (OTP) by year is populated by the San Francisco Department of Public Health (SFDPH) Behavioral Health Services Quality Management (BHSQM) program. OTPs in San Francisco are required to submit patient billing data in an electronic medical record system called Avatar. BHSQM calculates the number of people who received methadone annually based on Avatar data. Data only from Drug MediCal certified OTPs were included in this dataset. The number of people who receive buprenorphine by year is populated from the Controlled Substance Utilization Review and Evaluation System (CURES), administered by the California Department of Justice. All licensed prescribers in California are required to document controlled substance prescriptions in CURES. The Center on Substance Use and Health calculates the total number of people who received a buprenorphine prescription annually based on CURES data. Formulations of buprenorphine that are prescribed only for pain management are excluded. People may receive buprenorphine and methadone in the same year, so you cannot add the Buprenorphine Clients by Year, and Methadone Clients by Year data together to get the total number of unique people receiving medications for opioid use disorder. For more information on where to find treatment in San Francisco, visit findtreatment-sf.org.  B. HOW THE DATASET IS CREATED This dataset is created by copying the data into this dataset from the SFDPH Behavioral Health Services Quality Management Program, the California Controlled Substance Utilization Review and Evaluation System (CURES), and the Office of Overdose Prevention. C. UPDATE PROCESS Residential Substance Use Treatment, Withdrawal Management, Methadone, and Naloxone data are updated quarterly with a 45-day delay. Buprenorphine data are updated quarterly and when the state makes this data available, usually at a 5-month delay. D. HOW TO USE THIS DATASET Throughout the year this dataset may include partial year data for methadone and buprenorphine treatment. As both methadone and buprenorphine are used as long-term treatments for opioid use disorder, many people on treatment at the end of one calendar year will continue into the next. For this reason, doubling (methadone), or quadrupling (buprenorphine) partial year data will not accurately project year-end totals. E. RELATED DATASETS Overdose-Related 911 Responses by Emergency Medical Services Unintentional Overdose Death Rates by Race/Ethnicity Preliminary Unintentional Drug Overdose Deaths

A. SUMMARY Dataset has meter daily schedules with hourly rates. B. HOW THE DATASET IS CREATED Data is an extract from SFMTA Meter API process. C. UPDATE PROCESS Dataset is updated daily to reflect any changes in meter operational and rate schedules. D. HOW TO USE THIS DATASET E. RELATED DATASETS Meter Inventory Meter Revenue

A. SUMMARY Location of blue curb space devoted to accessible parking. B. METHODOLOGY SFpark surveys and data creation, 2008-2011. C. UPDATE FREQUENCY Updated regularly, approx once per quarter. D. OTHER CRITICAL INFO Drivers with disabled placards can park at any metered space for free and with no time limits; they are not limited to blue zones.

A. SUMMARY San Francisco’s Existing Buildings Energy Performance Ordinance requires owners of non-residential buildings over 10,000 square feet to annually benchmark and disclose energy performance. On behalf of City agencies, the San Francisco Public Utilities Commission (SFPUC) benchmarks and reports energy use for a portfolio of approximately 500 public facilities buildings. The performance of public facilities can be examined in an interactive report at bit.ly/SFMunicipalBenchmarking, and annual reports from 2011-present are available there as well. This dataset presents the energy performance and basic characteristics for public facilities that is visualized by the SFPUC’s interactive report. In addition, energy performance data for non-municipal buildings (i.e. commercial buildings of 10,000 square feet or larger, and multifamily & mixed-use buildings of 50,000 square feet or larger) is available at: bit.ly/ExistingBuildingsReport B. HOW THE DATASET IS CREATED In compliance with California Energy Benchmarking Regulations (CA Public Resources Code Section 25402.10 and CCR Title 20 Section 1680), and San Francisco Existing Buildings Energy Ordinance (Environment Code Chapter 20), the San Francisco Public Utilities Commission provides energy benchmarking services on behalf of municipal facilities. Details for public facilities are compiled from city records, and energy usage is compiled from utility records; related metrics such as energy use intensity are calculated from the combination of such records. Data is subjected to quality assurance validation prior to publication. For additional information regarding data sources and assumptions, please review the "Data Sources and Assumptions" page of the Municipal Facilities Energy Benchmarking dashboard: https://bit.ly/SFMunicipalBenchmarking. C. UPDATE PROCESS Updated Annually.

Inventory of all on-street metered parking spaces in the City of Los Angeles. Includes Space/Meter ID, block-level address, hourly rate, metered time limit, meter operating hours, enforced parking restrictions, and coordinates. Updated as operationally feasible. See "Parking Meter Occupancy" dataset for real-time parking availability at over 5,000 spaces. PLEASE NOTE: Operational changes on the street may create discrepancies between data and posted parking signs. Posted signs determine enforced parking policies. ALWAYS CHECK AND FOLLOW ALL POSTED SIGNS BEFORE PARKING.

Posting Photos of Parking Signs / Street Space Permits. Related parking sign/ street space permit data is here: https://data.sfgov.org/d/sftu-nd43

A. SUMMARY This dataset provides review time metrics for the San Francisco Planning Department’s application review process. The following metrics are provided: total days to Planning approval, days to finish completeness review, days to first check plan letter, and days to complete resubmission review. Targets for each metric and outcomes relative to these targets are also included. These metrics allow for ongoing tracking for individual planning projects and for the calculation of summary statistics for Planning review timelines. There are both Project level metrics and project event level metrics in this table. You can see a dashboard which shows the City's current permit processing performance on sf.gov. B. HOW THE DATASET IS CREATED Planning application review is tracked within Planning’s Project and Permit Tracking System (PPTS). Planners enter review period start and end dates in PPTS when review milestones are reached. Review timeline data is extracted from PPTS and review timelines and outcomes are calculated and consolidated within this dataset. The dataset is generated by a data model that pulls from multiple raw Accela sources and joins them together. C. UPDATE PROCESS This dataset is updated daily overnight. D. HOW TO USE THIS DATASET Use this dataset to analyze project level timelines for planning projects or to calculate summary metrics related to the planning review and approval processes. The review metric type is defined in the ‘project stage’ column. Note that multiple rounds of completeness check review and resubmission review may occur for a single Planning project. The ‘potential error’ column flags records where data entry errors are likely present. Filter out rows where a value is entered in this column before building summary statistics. E. RELATED DATASETS