- What is the Crime incident rate per 100,000 people?
- What is the Population Count?
- What is the Population Density?
- What is the Land Area?
- What is the Percent who did not finish the 9th grade?
- What is the Median Earnings?
- What is the Number of Employees?
- What is the Population Rate of Change?
- What is the Water Area?
- What is the High School Graduation Rate?
The crime incident count of San Francisco, CA was 2,579 for aggravated assault in 2018.
Crime Incident Count
Crime Incident Rate per 100,000 People
Crime statistics are sourced from the FBI Uniform Crime Reporting Program and aggregated across year and crime type. The FBI does not gather statistics for all jurisdictions, so some localities may be missing. Normalization is based on the population values published with the UCR data itself, so rather than on US Census data, as the jurisdiction of the data may vary. Crime rates are normalized on a per 100K basis; specifically, the crime count is divided by the population count, the result is then multiplied by 100K and rounded to the nearest integer value. Latest data, displayed in charts and other visualizations, is from 2014.
Public Safety and Crime Datasets Involving San Francisco, CA
- API www.dallasopendata.com | Last Updated 2022-07-06T16:46:06.000Z
The calls listed here are only those where the element assigned to the call has arrived and is currently working the call. It does not include any calls for service, whether currently being worked or not, that are not releasable due to privacy laws.
- API data.norfolk.gov | Last Updated 2022-07-06T12:37:27.000Z
This dataset represents all active warrants recorded by the Norfolk Police Department. Warrants can be searched by type of crime, demographics of persons involved and total number of outstanding warrants. This dataset is updated daily. Note: this dataset does not contain any active warrants that could possibly: • jeopardize an ongoing investigation, or prosecution, or the safety of an individual, • cause a suspect to flee or evade detection, • result in the destruction of evidence.
- API www.dallasopendata.com | Last Updated 2022-07-06T13:02:33.000Z
Dallas Police Public Data - Unknown Suspects
- API data.providenceri.gov | Last Updated 2022-07-06T15:25:09.000Z
Adults arrested or issued citations by the Providence Police Department during the past 60 days. Arrests are custodial actions where an individual is detained and transported to the City of Providence Public Safety Complex. Citations are non-custodial actions issued at the scene of a violation. Once issued a citation, an individual is allowed to leave unless there are additional charges that require being taken into custody. This data set lists all state and municipal statute violations issued by the Providence Police. A single individual can be charged with multiple violations for a single incident. Multiple persons can also be charged in a single incident. The case number provided in the data set can be used to identify the incident and to look up the case information in the Providence Police Department - Case Log.
- API www.dallasopendata.com | Last Updated 2021-10-18T13:06:42.000Z
Dallas Police Public Data - Officer Involved Shootings City Of Dallas
- API data.cityofchicago.org | Last Updated 2022-07-06T11:05:23.000Z
This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Data Fulfillment and Analysis Division of the Chicago Police Department at DFA@ChicagoPolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data are updated daily. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e
- API data.cityofberkeley.info | Last Updated 2022-07-06T15:45:07.000Z
Adult arrests by the Berkeley Police Department over the past 30 days.
- API data.sfgov.org | Last Updated 2022-07-05T17:31:08.000Z
<strong>A. SUMMARY</strong> Read the <u><a href="https://datasf.gitbook.io/datasf-dataset-explainers/sfpd-incident-report-2018-to-present">detailed overview of this dataset</a></u>. This dataset includes incident reports that have been filed as of January 1, 2018. These reports are filed by officers or self-reported by members of the public using SFPD’s online reporting system. The reports are categorized into the following groups based on how the report was received and the type of incident: <strong>Initial Reports</strong>: the first report filed for an incident <strong>Coplogic Reports</strong>: incident reports filed by members of the public using SFPD’s online reporting system <strong>Vehicle Reports</strong>: any incident reports related to stolen and/or recovered vehicles Disclaimer: The San Francisco Police Department does not guarantee the accuracy, completeness, timeliness or correct sequencing of the information as the data is subject to change as modifications and updates are completed. <strong>B. HOW THE DATASET IS CREATED</strong> Data is added to open data once incident reports have been reviewed and approved by a supervising Sergeant or Lieutenant. Incident reports may be removed from the dataset if in compliance with court orders to seal records or for administrative purposes such as active internal affair investigations and/or criminal investigations. <a href="https://support.datasf.org/help/police-department-incident-reports-2018-to-present-overview">Read more about how incident reports are created and approved in the detailed overview of this dataset</a>. <strong>C. UPDATE PROCESS</strong> Updated automatically daily by 10:00 Pacific <strong>D. HOW TO USE THIS DATASET</strong> <u><a href="https://datasf.gitbook.io/datasf-dataset-explainers/sfpd-incident-report-2018-to-present">Read more about</a> </u>how to appropriately use identifiers, interpret different kinds of records, and limitations of analysis related to active privacy controls.
- API performance.smcgov.org | Last Updated 2016-08-31T20:40:07.000Z
Violent and property crime rates per 100,000 population for San Mateo County and the State of California. The total crimes used to calculate the rates for San Mateo County include data from: Sheriff's Department Unincorporated, Atherton, Belmont, Brisbane, Broadmoor, Burlingame, Colma, Daly City, East Palo Alto, Foster City, Half Moon Bay, Hillsborough, Menlo Park, Millbrae, Pacifica, Redwood City, San Bruno, San Carlos, San Mateo, South San Francisco, Bay Area DPR, BART, Union Pacific Railroad, and CA Highway Patrol.
- API data.montgomerycountymd.gov | Last Updated 2022-07-06T07:30:55.000Z
Updated daily postings on Montgomery County’s open data website, dataMontgomery, provide the public with direct access to crime statistic databases - including raw data and search functions – of reported County crime. The data presented is derived from reported crimes classified according to the National Incident-Based Reporting System (NIBRS) of the Criminal Justice Information Services (CJIS) Division Uniform Crime Reporting (UCR) Program and documented by approved police incident reports. The data is compiled by “EJustice”, a respected law enforcement records-management system used by the Montgomery County Police Department and many other law enforcement agencies. To protect victims’ privacy, no names or other personal information are released. All data is refreshed on a quarterly basis to reflect any changes in status due to on-going police investigation. dataMontgomery allows the public to query the Montgomery County Police Department's database of founded crime. The information contained herein includes all founded crimes reported after July 1st 2016 and entered to-date utilizing Uniform Crime Reporting (UCR) rules. Please note that under UCR rules multiple offenses may appear as part of a single founded reported incident, and each offense may have multiple victims. Please note that these crime reports are based on preliminary information supplied to the Police Department by the reporting parties. Therefore, the crime data available on this web page may reflect: -Information not yet verified by further investigation -Information that may include attempted and reported crime -Preliminary crime classifications that may be changed at a later date based upon further investigation -Information that may include mechanical or human error -Arrest information [Note: all arrested persons are presumed innocent until proven guilty in a court of law.] Update Frequency: Daily