open-data

This dataset contains all applicants for emergency rental and/or utility assistance in the Neighborly system.

The juvenile justice system has a responsibility to protect the community from known juvenile offenders. Juveniles who do not commit a new offense while under court supervision have a higher probability of remaining crime free. This data represents the number and percentage of juveniles who successfully completed supervision without a new offense resulting in a Consent Decree, Adjudication of Delinquency, ARD, Nolo Contendere, or finding of guilt in a criminal procedure. CY - Calendar Year

This dataset is contained within the Juvenile Court Judges' Commission’s 2018 Statewide Juvenile Justice Outcome Measure report: this report reflects outcomes of juvenile offenders whose cases were closed during the report period and who have received a period of supervision from a county juvenile probation department. These reported outcomes are associated with community protection, accountability, and competency development; three core goals of Pennsylvania's juvenile justice system.

Since 2009, county juvenile probation departments have supervised and closed 126,006 cases. The proportion of cases closed successfully (without a new offense) during this time is 84.1%. For the year 2018, the proportion of cases closed successfully was 85.4%.

The long-term care facility clinic data shows the facilities that have clinics scheduled for a certain week. These clinics will be held by either CVS or Walgreens through their work to vaccinate within the Federal Pharmacy Partnership. The federal pharmacy partners dataset represents the clinics that CVS and Walgreens are holding for a given week at long-term care facilities that are part of the federal pharmacy mission. These are nursing homes, assisted living facilities, and other long-term care facilities receiving vaccinations. For the Pfizer vaccination the clinics are 3-weeks apart. For the Moderna vaccination the clinics are 4-weeks apart. This dataset will be updated Wednesday’s at 12:00pm.

Arrest report data from the Richmond Police Department. Data pre-2018 may not be imported properly, due to a change in records management systems.

Types of Abuse, Neglect and Financial Exploitation

A single APS case can have more than one allegation.

Neglect is the failure to provide the protection, food, shelter, or care necessary to avoid emotional harm or physical injury. The alleged perpetrator of the neglect may be the victim or the victim's caregiver. There are three types of neglect allegations: Physical Neglect, Medical Neglect, and Mental Health Neglect.

Other allegation types include: Financial Exploitation, Physical Abuse, Emotional or Verbal Abuse, or Sexual Abuse.

The population totals do not match prior DFPS Data Books, printed or ontline. Past population estimates are adjusted based on the U.S. Census data as it becomes available. This is important to keep the data in line with current best practices, but will cause some past counts, such as Abuse/Neglect Victims per 1,000 Texas Children, to be recalculated.

Population Data Source - Population Estimates and Projections Program, Texas State Data Center, Office of the State Demographer and the Institute for Demographic and Socioeconomic Research, The University of Texas at San Antonio.

Current population estimates and projections for all years from 2014 to 2023 as of December 2023.

Visit dfps.state.tx.us for information on all DFPS programs.

DISCLAIMER: This dataset may contain preliminary data that has not yet been verified and may be changed at a later date due to additional investigation. Additionally, the data entry process may include mechanical and/or human errors. Therefore, the Vermont State Police does not guarantee the accuracy, completeness, timeliness, or correct sequencing of the information. This dataset also excludes any records that would compromise the privacy of crime victims or the fidelity of ongoing investigations. Any information that could be used to uniquely identify a person or vehicle has also been excluded.

SUMMARY: This dataset contains information related to arrests for driving under the influence as recorded by the Vermont State Police between January 1, 2013 and the present day. These data are extracted from the VSP records management system on a monthly basis. Each record is unique to an individual not an incident, so you may find multiple records with the same incident number in the dataset. This occurs when there is more than one individual associated with an incident. This particular dataset is made available in an effort to enhance the transparency of law enforcement activities in Vermont. Should you have questions about records in this dataset, please contact the specific law enforcement agency as they are each responsible for their own records. To access a summary page of this dataset, select the “About” tab on the right side of this page and scroll down to the attachments and click on the PDF document.

This dataset contains the Housing and Neighborhood Programs current list of unsafe vacant houses in the city.

This dataset was created for visually locating lane width on road marking designs.

This chart counts perpetrators in completed investigations. Completed investigations only include those cases conducted as a traditional investigation that were not administratively closed or merged into another stage. An investigation can only be administratively closed if all allegations have a disposition of administrative closure.

A completed investigation can include more than one alleged victim. Completed investigations do not include any Alternative Response cases.

A confirmed perpetrator on a completed investigation is an individual who is a confirmed perpetrator on at least one allegation with a disposition of reason to believe.

An alleged perpetrator on a completed investigation is an individual where all the allegations on which they were an alleged perpetrator have a disposition of ruled out, unable to complete or unable to determine.

A description of Alternative Response and how it differs from a traditional investigation and the definitions of the different dispositions in a traditional investigation are in the glossary.

FOOTNOTES

1. Each victim may have more than one perpetrator in an investigation.
2. Each perpetrator may have more than one victim.

Visit dfps.state.tx.us for information on CPS Abuse/Neglect Investigations and all DFPS programs.

Historical results of Dangerous Dogs in Pennsylvania. A dangerous dog is one that has:

(1) Inflicted severe injury on a human being without provocation on public or private property.

(2) Killed or inflicted severe injury on a domestic animal, dog or cat without provocation while off the owner’s property.

(3) Attacked a human being without provocation.

(4) Been used in the commission of a crime.

And the dog has either or both of the following:

(1) A history of attacking human beings and/or domestic animals, dogs or cats without provocation.

(2) A propensity to attack human beings and/or domestic animals, dogs or cats without provocation.

*A propensity to attack may be proven by a single incident.

Severe injury is defined as, [3 P.S. § 459-102] “Any physical injury that results in broken bones or disfiguring lacerations requiring multiple sutures or cosmetic surgery.” More information can be found here - https://www.agriculture.pa.gov/Animals/DogLaw/Dangerous%20Dogs/Pages/default.aspx

More information on Chapter 27 Regulations - https://www.agriculture.pa.gov/Animals/DogLaw/Dangerous%20Dogs/Documents/Chapter%2027%20Dangerous%20Dogs.pdf

PDF's for Chapter 27 and Pennsylvania Dog Laws are attached to the metadata

Water quality measurements for the City of Fort Collins.

Approved regional investigations resulting in a Notice of Violation (NOV) and the details associated with each violation that are documented in the Consolidated Compliance and Enforcement Data System (CCEDS). All NOVs displayed were sent as physical letters to the Regulated Entities' business contacts. An NOV may contain multiple violation citations (Category A, B, and C) due to identified noncompliance with different regulatory requirements. Note other databases are utilized within the agency and may contain information on additional violations.

Quick Export Link If after viewing our Rental Registry, you know of a rental property that needs to be researched by the City, please use this form to report it: https://bit.ly/3mxvLQS

This dataset contains the active rental properties registered with the City of Little Rock. The ordinance requires that all rental properties be registered with the City and renewed annually. Registration is required for each residential “dwelling unit” that is owned or managed by an agent along with any commercially rented properties.

The Port Authority of NY & NJ annually reports on motor vehicle crashes throughout its facilities. The data reported in this dataset represents motor vehicle crashes of vehicles in transport on public trafficways within Port Authority jurisdiction. A crash is a harmful event which involves a motor vehicle in transport that strikes another motor vehicle, other property, debris, animal, pedestrian, or bicyclist, or in which a motor vehicle overturns (rolls over), jackknifes, catches fire or explodes while within the trafficway.

This dataset is reports of both use of force and citizen complaint incident reports recorded by the Norfolk Police Department. An incident is considered an event that has been reported to the Police; it does not necessarily indicate a crime has occurred. Norfolk Police Department policy requires a Use-of-Force report every time an officer must do more than routine use of handcuffs or hands to hold, guide, or lead a person. Complaint data for findings that are still pending are excluded from this report. This data will be updated every weekday and encompasses a rolling five years.

This dataset represents the results of blood lead testing for Kansas City, Missouri residents. The data has been processed to protect patient anonymity by removing name, date of birth, address, etc. Presentations on blood lead levels between 2015-2018 can be found in the "About" section.

Lead Safe KC Program Link - https://www.kcmo.gov/city-hall/departments/health/lead-poisoning-testing-children-and-homes-for-lead

Certified models meet all ENERGY STAR requirements as listed in the Version 4.0 ENERGY STAR Program Requirements for Ventilating Fans that were effective as of October 1, 2015 or the Version 4.1 requirements that are effective as of July 24, 2018. A detailed listing of key efficiency criteria are available at https://www.energystar.gov/products/heating_cooling/fans_ventilating/key_product_criteria .

Weekly updates have finished with the June 28th update. Some information may be found here: https://covid.cdc.gov/covid-data-tracker/#maps_new-admissions-rate-state

This dataset contains aggregate COVID-19 case counts and rates by date of first report for all counties in Pennsylvania and for the state as a whole. Counts include both confirmed and probable cases as defined by the Council of State and Territorial Epidemiologists (CSTE). At present, a person is counted as a case only once. Note that case counts by date of report are influenced by a variety of factors, including but not limited to testing availability, test ordering patterns (such as day of week patterns), labs reporting backlogged test results, and mass screenings in nursing homes, workplaces, schools, etc. Case reports received without a patient address are assigned to the county of the ordering provider or facility based on provider zip code. Cases reported with a residential address that does not match to a known postal address per the commonwealth geocoding service are assigned to a county based on the zip code of residence. Many zip codes cross county boundaries so there is some degree of misclassification of county. All counts may change on a daily basis due to reassignment of jurisdiction, removal of duplicate case reports, correction of errors, and other daily data cleaning activities. Downloaded data represents the best information available as of the previous day. Data will be updated between 11:30 am to 1:30pm each Wednesday.

A list of outdoor sports fixtures within Edmonton.

Note that not all of these facilities are owned and maintained by the City of Edmonton; for facilities owned by entities other than the City of Edmonton (community leagues for example), it is possible that there may be access restrictions, a charge for access etc.

This dataset reports statewide and county numbers of calls and intakes by individuals seeking treatment from hotline staff since the inception of Pennsylvania’s Get Help Now Hotline, text line, and chat line in November 2016. When a field is blank the information is not available; these data were not collected at the time of the phone call.

This was one single topic among many as part of the September 2015 Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=526&as=7YW63mx6N7&t=1. Open from September 08 - 16, 2015. At the time the survey was launched survey invitations were sent to 3516 Insight Community Members. 1477 members completed the survey which represents a completion rate of 42%. A total of 1637 respondents completed the survey: 1477 Insight Community Members and 160 using the anonymous link which will have no demographic info.

This dataset contains the disruptions affecting bike routes that are not necessarily a Traffic Disruption Notice (TDN).

The Initiation results data presented here reflects all of the arrests that came through the door of the State's Attorneys Office (SAO). Included in this data set are the defendant counts by gender and initiation, their associated offense type, and year.

An initiation is how an arrest turns into a “case” in the courts. Most cases are initiated through a process known as felony review, in which SAO attorneys make a decision whether or not to prosecute. Cases may also be indicted by a grand jury or, in narcotics cases, filed directly by law enforcement (labeled "BOND SET (Narcotics)" in this data). Included in this data set are the defendant counts by initiation and year. This data includes felony cases handled by the Criminal, Narcotics, and Special Prosecution Bureaus. It does not include information about cases processed through the Juvenile Justice and Civil Actions Bureaus.

The sentencing data presented in this report reflects the judgement imposed by the court on people that have been found guilty. The data is recorded by count, meaning by each individual cause of action, and each count receives a sentence. Included in this data set are the defendant counts by city/suburb and sentence, their associated offense type, and year.

The Initiation results data presented here reflects all of the arrests that came through the door of the State's Attorneys Office (SAO). Included in this data set are the defendant counts by age and initiation, their associated offense type, and year.

An initiation is how an arrest turns into a “case” in the courts. Most cases are initiated through a process known as felony review, in which SAO attorneys make a decision whether or not to prosecute. Cases may also be indicted by a grand jury or, in narcotics cases, filed directly by law enforcement (labeled "BOND SET (Narcotics)" in this data). Included in this data set are the defendant counts by initiation and year. This data includes felony cases handled by the Criminal, Narcotics, and Special Prosecution Bureaus. It does not include information about cases processed through the Juvenile Justice and Civil Actions Bureaus.

The Initiation results data presented here reflects all of the arrests that came through the door of the State's Attorneys Office (SAO). Included in this data set are the defendant counts by city/suburb and initiation, their associated offense type, and year.

An initiation is how an arrest turns into a “case” in the courts. Most cases are initiated through a process known as felony review, in which SAO attorneys make a decision whether or not to prosecute. Cases may also be indicted by a grand jury or, in narcotics cases, filed directly by law enforcement (labeled "BOND SET (Narcotics)" in this data). Included in this data set are the defendant counts by initiation and year. This data includes felony cases handled by the Criminal, Narcotics, and Special Prosecution Bureaus. It does not include information about cases processed through the Juvenile Justice and Civil Actions Bureaus.

This data set identifies the specific locations of street lights, and the type of bulb and wattage of each light.

Light-emitting diode (LED) light bulbs are more energy efficient than other types of light bulbs, and are designed to have a longer lifespan, lower maintenance costs, and to save energy.

Conversion of Edmonton's street and alley lights from conventional bulbs to LED technology is reducing Edmonton's overall power consumption, contributing to the City's goal to reduce energy use by 25% relative to 2005 by 2035.

Dataset highlighting arrests by Albany PD Officers for the past year to date GeoCoded by Patrol Zone. It is the same data as Arrests by Neighborhood

For purposes of crime statistics, the FBI Uniform Crime Report Hierarchy Rule requires when more than one offense occurs in an incident the highest priority crime is selected as the primary offense.

This dataset contains summary information on overdose responses and naloxone administrations by Pennsylvania criminal justice agencies and some third-party (i.e. EMS, Fire, Medical Staff, etc) first responders voluntarily entering incident data. Due to the voluntary nature of the application, the ODIN information provided may not represent the totality of all overdose and/or naloxone administration incidents involving criminal justice agencies occurring within the Commonwealth. Although this dataset does include some third-party administrations of naloxone, it should not be used to measure overdose response and naloxone administration incidents among all first responders.

Population change and rank by county, 2020 to present.

This dataset represents the GPS coordinates and other relevant information for where backpack, vehicle, or helicopter application/treatment took place for mosquitoes during the current calendar year.

This was one single topic among many as part of the August 2014 Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=76&t=1. Open from Aug 19 - 25, 2014. At the time the survey was launched survey invitations were sent to 1029 Insight Community Members. 646 members completed the survey which represents a completion rate of 63%. A total of 816 respondents completed the survey: 646 Insight Community Members and 170 using the anonymous link which will have no demographic info.

Infant birthweight data obtained from United States Department of Health and Human Services (US DHHS), Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS), Division of Vital Statistics, Natality public-use data, on CDC WONDER Online Database.

911 fire and emergency medical unit dispatches in the City of Everett, or outside city limits but responded to by Everett Fire Department vehicles. As multiple vehicles often respond to the same call, there can be multiple rows for a single event.

This dataset contains a monthly record of how many defendants were in jail, for all Superior Court judges who handle criminal cases. For the current month, there is one data point representative of the number of defendants in jail as of today. For previous months, the data point is the last day of the month, and shows how many defendants were in jail on that day.

These data are monthly listings of cases, recipients, adults, children and expenditures in the Family Assistance and Safety Net Assistance Programs.

Arena operations data including names, ice surface size, and other amenities

CHILD SUPPORT ENFORCEMENT ADMINISTRATION

The performance measures are used to evaluate each State's performance and measure results in the Child Support Enforcement program. These measures emphasize paternity establishment, support order establishment, collection of current support, collection of arrearages, and cost effectiveness. The performance measures, except cost effectiveness which can only be measured annually, are calculated from data which is reported on federal form OCSE 157.

CASES WITH SUPPORT ORDERS This metric measures the proportion of IV-D cases with support orders established.

Equation: Number of IV-D Cases with Support Orders divided by Total Number of IV-D Cases

IV-D Paternity Establishment Percentage: This metric measures the proportion of children in the IV-D caseload as of the end of the preceding FFY who were born out of wedlock is the total number of children in the IV-D caseload in the federal fiscal year born out of wedlock with paternity established or acknowledged divided by the total number of children in the IV-D caseload as of the end of the preceding FFY who were born out of wedlock. .

Equation: Total # of Children in IV-D Caseload in the Federal Fiscal Year or, as of the end of the Fiscal Year who were born out of wedlock with Paternity Established or Acknowledged divided by Total # of Children in IV-D Caseload as of the end of the preceding Federal Fiscal Year who were Born Out of Wedlock

COLLECTIONS ON CURRENT SUPPORT This measure focuses on the proportion of current support due that is collected on IV-D cases.

Equation: Total Dollars Collected for Current Support in IV-D Cases during the Federal Fiscal Year divided by Total Dollars Owed for Current Support in IV-D Cases during the Federal Fiscal Year

COLLECTIONS ON ARREARS The measure assesses efforts to collect money from those cases with an arrearage due. The measure specifically counts paying cases, and not total arrears dollars collected.

Equation: Total number of IV-D cases paying toward arrears during the Federal Fiscal Year divided by Total number of IV-D cases with arrears due

Listing of all active licensed retailers that sell lottery products in New York state.

Under New York State’s Hate Crime Law (Penal Law Article 485), a person commits a hate crime when one of a specified set of offenses is committed targeting a victim because of a perception or belief about their race, color, national origin, ancestry, gender, religion, religious practice, age, disability, or sexual orientation, or when such an act is committed as a result of that type of perception or belief. These types of crimes can target an individual, a group of individuals, or public or private property. DCJS submits hate crime incident data to the FBI’s Uniform Crime Reporting (UCR) Program. Information collected includes number of victims, number of offenders, type of bias motivation, and type of victim.

The dataset represents the locations of combined sewer overflow (CSOs) outfall locations in NYS. It also includes overflow detection capabilities of CSO communities and overflow frequency data within a specified timeframe.

COVID-19 vaccination sites. This dataset includes pharmacy locations for all of Alberta, and AHS clinics for the Edmonton area. Dataset includes a link for booking at a pharmacy if it is available.

Pharmacy list retrieved 2021-12-23 16:19; Source was last updated 2021-12-23 13:00:00.

Pharmacy list source: https://www.ab.bluecross.ca/news/covid-immunization-program-listing.php.

Edmonton area AHS clinic locations are manually updated as needed. Additional locations can be found at https://www.albertahealthservices.ca/topics/page17295.aspx.

Geocoding sources:

• Edmonton: https://gis.edmonton.ca/arcgishosting/rest/services/City_of_Edmonton_Geocoder/GeocodeServer/findAddressCandidates
• Calgary: http://gis.calgary.ca/arcgis/rest/services/pub_Locators/CalgaryAddressLocator/GeocodeServer/findAddressCandidates
• Everywhere else: http://geocoder.ca/

Weekly updates have finished with the June 28th update. “Note: Beginning 7/13/2022, the hospitals are no longer reporting data on airborne isolation beds resulting in null values being displayed for the airborne isolation bed metrics.” This dataset contains aggregate hospitalization data related to COVID-19 patient which includes availability of ICU beds, patients on ventilators, ventilators in use, and total patients hospitalized data at the state and county level for Pennsylvania residents.
Data will be updated between 11:30 am to 1:30pm each Wednesday.

Rental Assistance payments by funding and providers

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 Research & Development Division of the Chicago Police Department at 312.745.6071 or RDAnalysis@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. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. 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

This dataset represents the total number of delinquency dispositions processed by Pennsylvania juvenile courts in 2018. A disposition is defined as an allegation of delinquency disposed of by the juvenile probation department and/or the court.

This dataset is contained within the Juvenile Court Judges' Commission’s Calendar Year (CY) 2018 Juvenile Court Annual Report; this report provides an overview of Pennsylvania juvenile court statistics, during 2018, to measure and quantify work across the state by juvenile justice professionals. In Pennsylvania, juvenile court jurisdiction extends over individuals who have been alleged to have committed a delinquent act, as defined by 42.

Pa. C. S. § 6301 et seq., on or after their tenth birthday and prior to reaching eighteen years of age. Juvenile court supervision can extend until the individual is twenty-one years of age if the individual is currently under supervision. Age for purposes of this section was calculated from the juvenile’s date of birth to the date of the offense in the written allegation. Any one youth may be involved in a number of dispositions within a calendar year containing multiple allegations.

There were 22,023 delinquency dispositions in Pennsylvania during 2018. This represents a 1.3% decrease from 2017 and a 13.4% decrease since 2014. Allegheny County reported a decrease of 17.0% from 2017 to 2018, and Philadelphia County reported a 5.9% decrease for this time period. One-third of the total dispositions occurred in the four jurisdictions reporting more than 1,000 dispositions; these jurisdictions include Philadelphia, Allegheny, York, and Delaware.

Details the bus stops that will be opening, closing, or changing for April 25, 2021 when the new bus network launches.

This data consists of geospatial data of tracts.

This is a dataset using centroid points to geolocate vacant land in the city. This inventory is a snapshot in time using data collected from May 2014. The data is based on the land inventory and provides a summary of vacant land in Edmonton’s central core, established, and mature neighbourhoods at the time of analysis. A vacant lot is classified as “a registered lot (serviced or unserviced) that contains no permanent structures at the time of inspection. It generally does not include land developed for parks, transportation or utility purposes.

The City of Edmonton provides this information in good faith. While every effort has been made to ensure the accuracy of information contained in this report, the City of Edmonton provides no warranty, express or implied, regarding the accuracy, completeness or correctness of information contained herein. The City of Edmonton disclaims any liability for the use of this information. No part of this material may be reproduced, in whole or in part, without acknowledgement.

This was one single topic among many as part of the May Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=310&t=1. Open from May 11 - 19, 2015. . At the time the survey was launched survey invitations were sent to 2709 Insight Community Members. 1115 members completed the survey which represents a completion rate of 41%. A total of 1210 respondents completed the survey: 1115 Insight Community Members and 95 using the anonymous link which will have no demographic info.

Source data is from the Energy Resources Conservation Board (ERCB).

This file shows all releases reported to the ERCB between January 1, 1975 and February 4, 2013. There are three entries before 1975, but in this database anyway, reporting seems unreliable before then.

Note that these numbers do not include any releases from pipelines which cross provincial or national boundaries, as these are not under the ERCB’s jurisdiction. Volumes are given in cubic metres. To convert to barrels, multiply by 6.292. To convert to litres, multiply by 1000.

The latitude and longitude coordinates show the centre point of each Alberta Township System Legal Subdivision that was given in the data. Locations are approximate and are accurate to within about 200 metres.

Naloxone is a life-saving medication that can reverse an overdose that is caused by an opioid drug (i.e. prescription pain medication or heroin). Naloxone may be obtained at a pharmacy using the statewide standing order (https://www.health.pa.gov/topics/Documents/Opioids/General%20Public%20Standing%20Order.pdf) signed by Secretary of Health, Dr. Rachel Levine. Naloxone may be covered by insurance and consumers are encouraged to check with their insurers to understand their insurance coverage for naloxone. Individuals covered by Medicaid can obtain naloxone without a copay. A video demonstrating how to administer nasal spray naloxone may be found here - https://www.youtube.com/watch?v=v26cDao4AcI&feature=youtu.be More information about how naloxone works as a medication and frequently asked questions about obtaining and using naloxone may be found on the Department of Health’s Naloxone webpage (https://www.health.pa.gov/topics/disease/Opioids/Pages/Naloxone.aspx) *This is a comprehensive listing of all pharmacies registered with the Department of State in Pennsylvania and does not guarantee that the pharmacy listed will have naloxone in stock.

Weekly updates have finished. The Retail Pharmacy Partnership dataset represents doses of vaccine allocated from the federal government directly to Pennsylvania’s retail pharmacy partners. The partners then determine which stores to send the allocated doses to, with the department’s input to ensure we are meeting the needs of all Pennsylvanians. This dataset will be updated Wednesday’s at 12:00pm.

Obesity rate for adults 20+ years old. Data from US Diabetes Surveillance System; www.cdc.gov/diabetes/data; Division of Diabetes Translation - Centers for Disease Control and Prevention. Obesity is defined with BMI >30.

This dataset contains weekly 2nd Dose COVID-19 Vaccine Allocated by Pennsylvania to vaccine providers. The dataset excludes allocations made to Corrections/detention health services, Home Health care providers and Long-term care facilities (nursing home, skilled nursing facility, assisted living, intellectual or developmental disability or combined facilities). If you already received your first dose of Pfizer or Moderna vaccine, you should return to the same provider for your second dose. This dataset will be updated Wednesday’s at 12:00pm.

This dataset contains centroid point geometry for all Legal Parcels in the City of Edmonton.

The City of Edmonton has shifted the delivery of legal and title parcel mapping to the provincial government and their designated partners. As of November 1st, 2021, the City will no longer provide datasets with land parcel boundary polygon geometry. Alberta Data Partnerships (ADP) - http://abdatapartnerships.ca - and their joint venture partner AltaLIS - https://www.altalis.com - now have the responsibility for making this information available for most of the province, including within the City of Edmonton.

Please see our Digital Map Products website https://www.edmonton.ca/business_economy/purchase_maps_aerial_photographs/digital-products for more information.

This dataset displays the 311 service requests to the City from January 2016 through year to date.

Police Cases represent all police incidents that result in a police report being generated by the responding officer.

Case reports involving domestic violence, child abuse, or sex offenses involving minors are not reported.

The Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs' departments. DCJS compiles these reports as New York's official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred. DCJS posts preliminary data in the spring and final data in the fall.

Included in the data set are data elements that will help the public learn about the agencies currently contracting with New York State to provide Advantage After School Program services. The data elements are as follows:Contract Start Date, Contract End Date, Round Number, Contract Number, Contract Amount, School Levels Served (Elementary, Middle School, High School), Average Daily Attendance (MADA), Agency, Site Name, Street Address, Primary City, Zip Code.Also, the asterisks (*) indicate that the contract agency operates the program at two sites.

This file details average daily census figures based on daily counts submitted by each jail to the State Commission of Correction. New York City jail population figures have been reported to the state since 2016, while data for the Non-New York City region and each county outside of the five boroughs are shown annually from 1997 onward. Data are presented in the following categories: Census, Boarded Out, Boarded In, In House, Sentenced, Civil, Federal, Technical Parole Violators, State Readies and Other Unsentenced.

This was one single topic among many as part of the May Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=310&t=1. Open from May 11 - 19, 2015. At the time the survey was launched survey invitations were sent to 2709 Insight Community Members. 832 members completed the survey which represents a completion rate of 31%. A total of 916 respondents completed the survey: 832 Insight Community Members and 84 using the anonymous link which will have no demographic info.

A Note from the State's Attorney's Office as of 12/30/2024:

The Cook County State's Attorney's Office believes data transparency is an important accountability and public safety tool and is committed to providing Cook County residents with this critical information. Currently, we are working to make sure that the data we share is valid, accurate, and presented in a format that is useful to the public. Our goal is to have resumed updating the Cook County open data site within the first 100 days of the new administration.

Dataset Description:

The sentencing data presented in this report reflects the judgment imposed by the court on people that have been found guilty. Each row represents a charge that has been sentenced.

Please use this link for more instructions and data glossary: https://www.cookcountystatesattorney.org/resources/how-read-data

Number and percent of households that have broadband internet. Data from ACS1 year for county and state level. ACS1 DP02_0153P (2019), DP02_0152P(2013-2018)

DEPRECATED; please see https://data.edmonton.ca/Emergency-Services/Fire-Response-Current-and-Historical/7hsn-idqi.

To provide a list of all fire events the Fire Response Group responded to in the last 182 days.

Audit results for each year. Each Audit Site is categorized into Large Litter Items and Small Litter Items. Audit years available are from 2009 to 2016. For Audit Site details, please refer to data set: Litter Audit - Site List

The location of manholes in the City of Edmonton. A manhole is a vertical structure connecting the ground level to an underground sewer.

Addresses of buildings, businesses, parks, and open spaces in the City of Cambridge. This dataset contains the complete list of addresses in Cambridge, along with each address's geospatial coordinates and relevant administrative boundaries (e.g., Census block, polling district, public safety area). The dataset does not include individual apartment units.The dataset is sourced from Cambridge's master address and GIS databases. Shapefiles for this data and other Cambridge geospatial data can be found on on the City's GIS Data Dictionary at https://www.cambridgema.gov/GIS/gisdatadictionary

Child Protective Investigations (CPI) conducts either a traditional investigation or Alternative Response (AR). Both require CPI to assess safety and take needed actions to protect a child and assess the risk of future abuse or neglect in the foreseeable future. AR, however, allows for a more flexible, family engaging approach on lower priority cases involving alleged victims who are age 6 or older. AR differs from traditional investigations in that there is no substantiation of allegations, no entry of perpetrators into the Central Registry (a repository for reports of child abuse and neglect), and there a heightened focus on guiding the family to plan for safety in a way that works for them and therefore sustains the safety.

Completed investigations only include those cases conducted as a traditional investigation that were not administratively closed or merged into another stage. An investigation can only be administratively closed if all allegations have a disposition of administrative closure. A completed investigation can include more than one alleged victim. Completed investigations do not include any Alternative Response cases. A description of Alternative Response and how it differs from a traditional investigation is in the CPS glossary.

At the end of a completed investigation, CPI assesses child safety, the risk of abuse or neglect in the foreseeable future, the ability of the family to reduce the risk without CPI intervention, the ability of CPI to provide needed services and other circumstances in the case to decide whether to provide ongoing services.

The Case Action Substitute Care includes investigations that resulted in at least one child (not necessarily all children in the home) being removed. Does not equal number of children removed.

Visit dfps.texas.gov for information on CPS Abuse/Neglect Investigations and all DFPS programs.

Three different measures of recidivism (rearrest, reincarceration, and overall recidivism) have been used by the DOC in a recent report to further explore the effects of recidivism on the criminal justice system. The DOC defines rearrest as: “the first instance of arrest after the individual is released from the custody of the DOC.” The DOC defines reincarceration as: “the first instance of returning to the custody of the DOC after the individual is released from the DOC.” The DOC defines overall recidivism as: “the first instance of any type of rearrest or reincarceration after the individual is released from the DOC.”

• The 3-year rearrest rates have been consistently higher than the 3-year reincarceration rates.
• The overall recidivism rates have remained relatively stable.
• From 2000 to 2013, rearrest rates appear to grow consistently before trending downward in recent years (e.g. 3-year rate has been below 50.0% in 4 of the last 5 years).
• The 2013 3-year reincarceration rate was down slightly at 43.7%, still lower than all the 3-year rates prior to 2008.
• The 2013 3-year overall recidivism rate dropped to 60.9%. This was the second lowest overall recidivism rate in the past 13 years (with 2011 being lowest at 59.9%)
• The 2015 1-year rates were all up slightly.

These statistics are based on a cohort of inmates.

ABOUT THIS CHART This chart includes data on abuse/neglect allegations in a fiscal year by allegation type, disposition, and the type of operation in which the allegation originated.

1. Abuse/neglect investigations can contain multiple allegations, each with their own disposition.

2. Agency Homes are excluded from these counts. They were included in some past printed Data Books.

3. This dashboard addresses Texas Family Code Section 264.017.(b)(13) and Texas Human Resources Code Section 40.0516(1)(B).

5-minute interval electric data for the Cambridge Senior center located at 806 Massachusetts Avenue from April 2013 through July 2018. The dataset enables analysis of electricity usage patterns over a series of days, weeks, months and years; this can help identify opportunities to reduce energy use and demand and can be used as a starting point to correlate energy consumption changes with conservation measures.

Electricity use is the amount of electricity that has been consumed over a certain period of time. Electricity demand is the maximum amount of electrical energy that is being consumed at a given time. Electricity use is measured in kilowatt hours (kWh). Electricity demand is measured in kilowatts (kW). Additionally, this dataset contains measurements for Power Factor and Reactive Power. Power Factor is the ratio of the real power that is flowing to the load and the apparent power that is supplied to the circuit. Reactive Power occurs in alternating current circuits when there is a phase difference between voltage and current. It is measured in kVAR for demand and kVARh for use.

Allegation Disposition (Findings):

Valid. Based on the standard of preponderance of the evidence, it is more likely than not that the maltreatment occurred.

Invalid. Based on the standard of preponderance of the evidence, it is more likely than not that the maltreatment did not occur.

Unable to Determine. A preponderance of the available evidence is insufficient to support a finding of Valid or Invalid.

Other. The allegation disposition Other is used when an investigation of the allegation was not completed for some reason, e.g. clients died or cases were misclassified.

1. Family Violence is indicated when a validated investigation has a relative perpetrator, excluding those where financial exploitation is the only confirmed allegation.

2. Beginning in Fiscal Year 2015, services provided during the investigation are documented in the investigation stage and not in a separate service stage.

3. The "Other" Disposition category refers to those investigations that workers could not complete, e.g. clients died or cases were misclassified.

4. The population totals do not match prior DFPS Data Books, printed or online. Past population estimates are adjusted based on the U.S. Census data as it becomes available. This is important to keep the data in line with current best practices, but will cause some past counts, such as Abuse/Neglect Victims per 1,000 Texas Children, to be recalculated.

Population Data Source - Population Estimates and Projections Program, Texas State Data Center, Office of the State Demographer and the Institute for Demographic and Socioeconomic Research, The University of Texas at San Antonio.

Current population estimates and projections for all years from 2014 to 2023 as of December 2020.

Visit dfps.state.tx.us for information on all DFPS programs.

This dataset contains the total counts of PA Department of Human Services (DHS) Medical Assistance (MA) individuals diagnosed with Opioid Use Disorder (OUD) or OUD Poisoning. Also included are individuals receiving MAT (Medication assisted treatment - the use of medications in combination with counseling and behavioral therapies for the treatment of substance use disorders.) NOT diagnosed in the same period. Counts are reported by case county and cover calendar years 2015 - 2018.

ATTENTION: This data set is no longer receiving updates and will be retired on 11/15/2023. Please see the data set Business Tax Receipts to continue receiving regular updates.

This data set of Business Tax Receipts (BTRs) represents business licenses issued by Permitting Services since 2004, keeping the last or most recent year of activity per license. A single business license may include more than one business type. In these instances, the data set will include one row per business type under the same license number.

Disclaimer: This data is derived from the Economic Development Platform, we acknowledge there is always the possibility of mechanical or human error. The City of Orlando does not guarantee the accuracy of the information. The City of Orlando 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. Additionally, because City policy and operations regarding reporting might change, the data may have limited value for comparisons over time.

Provides data about releasees under community supervision on March 31 of the snapshot year. Information includes region of supervision, county of residence, snapshot year, supervision level, gender, age, and race/ethnicity as of the file date, and crime type for most serious instant offense.

Persons vaccinated by race and county

For a detailed description of the data, see "About Data" on the DPH Vaccine Distribution Dashboard: https://experience.arcgis.com/experience/3d8eea39f5c1443db1743a4cb8948a9c

A complete list of City of Edmonton run waste/recycling drop-off facilities (depots), including Community Recycling Depots, Eco Stations and the Reuse Centre. Data includes facility address, operating hours, phone number, latitude/longitude and general description of accepted items.

To be used with the following data sets: Waste/Recycling Streams List, Waste Materials List.

State of Delaware list of currently certified firms that can provide asbestos services as professionals or abatement firms which provide encapsulation, repair, and removal services within the State boundaries. Current Asbestos Professional Services vendors that provides building inspection and surveys and sampling, management plan development, design, project management and oversight with final clearance air sampling for building owner.

Dataset highlighting arrests by Albany PD Officers for the past year to date GeoCoded by Neighborhood. It is the same data as Arrests by Patrol Zone

For purposes of crime statistics, the FBI Uniform Crime Report Hierarchy Rule requires when more than one offense occurs in an incident the highest priority crime is selected as the primary offense.

This dataset contains total counts of complaints received and arrests made by DNREC Fish & Wildlife Enforcement agents since the year 2000

This dataset provides an extract from Norfolk's STORM application. STORM, an acronym for System to Track, Organize, Record and Map, captures data collected by residents and city staff during and after inclement weather events. The app captures incidents such as flooded streets, damaged trees, disabled vehicles, downed cable lines, etc. This dataset provides a record of reported events entered into STORM beginning in 2010; the dataset is updated during and after weather events.

Santa Clara County Sheriff's Office incident dataset

Rental assistance applications with primary applicant information. Total amount owe and amount paid by Rental Assistance program are also included.

Note: Due to the RMS change for CPS, this data set stops on 6/2/2024. For records beginning on 6/3/2024, please see the dataset at this link: https://data.cincinnati-oh.gov/safety/Reported-Crime-STARS-Category-Offenses-/7aqy-xrv9/about_data

The combined data will be available by 3/10/2025 at the linke above.

Data Description: This data represents reported Crime Incidents in the City of Cincinnati. Incidents are the records, of reported crimes, collated by an agency for management. Incidents are typically housed in a Records Management System (RMS) that stores agency-wide data about law enforcement operations. This does not include police calls for service, arrest information, final case determination, or any other incident outcome data.

Data Creation: The Cincinnati Police Department's (CPD) records crime incidents in the City through Records Management System (RMS) that stores agency-wide data about law enforcement operations.

Data Created By: The source of this data is the Cincinnati Police Department.

Refresh Frequency: This data is updated daily.

CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/8eaa-xrvz

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Disclaimer: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.

DISCLAIMER: This dataset may contain preliminary data that has not yet been verified and may be changed at a later date due to additional investigation. Additionally, the data entry process may include mechanical and/or human errors. Therefore, the Vermont State Police does not guarantee the accuracy, completeness, timeliness, or correct sequencing of the information. This dataset also excludes any records that would compromise the privacy of crime victims or the fidelity of ongoing investigations. Any information that could be used to uniquely identify a person or vehicle has also been excluded.

SUMMARY: This dataset contains information related to arrests for driving under the influence as recorded by the Vermont State Police between January 1, 2013 and the previous month. These data are extracted from the Vermont State Police records management system on a monthly basis. Each record is unique to an individual not an incident, so you may find multiple records with the same incident number in the dataset. This occurs when there is more than one individual associated with an incident. This particular dataset is made available in an effort to enhance the transparency of law enforcement activities in Vermont. Should you have questions about records in this dataset, please contact the specific law enforcement agency as they are each responsible for their own records. To access a summary page of this dataset, select the “About” tab on the right side of this page and scroll down to the attachments and click on the PDF document.

This dataset includes information on completed and pipeline (not yet installed) solar electric projects supported by the New York State Energy Research and Development Authority (NYSERDA). Blank cells represent data that were not required or are not currently available. Contractor data is provided for completed projects only, except for Community Distributed Generation projects. Pipeline projects are subject to change. The interactive map at https://data.ny.gov/Energy-Environment/Solar-Electric-Programs-Reported-by-NYSERDA-Beginn/3x8r-34rs provides information on solar photovoltaic (PV) installations supported by NYSERDA throughout New York State since 2000 by county, region, or statewide. Updated monthly, the graphs show the number of projects, expected production, total capacity, and annual trends.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

This dataset contains counts of active business registrations in Pennsylvania and is broken down by County. ALL active business registrations in the data to include: business corporations, nonprofit corporations, limited liability companies, limited partnerships, limited liability partnerships, limited liability limited partnerships, business trusts, land banks, municipal and other authorities. **Due to statutory limitations in removing businesses no longer in operation from our database, this data shows a larger number of active businesses than currently exist. Note: Previously titled Active Business Registrations Year 1768 – Current by County

The Housing Affordability Index, calculated by the Runstad Center for Real Estate Studies, measures the ability of a middle-income family to carry the mortgage payments on a median-price home. When the index is 100 there is a balance between the family’s ability to pay and the cost. Higher indexes indicate housing is more affordable.

For example, an index of 126 means that a median-income family has 26 percent more income than the bare minimum required to qualify for a mortgage on a median-price home. An index of 80 means that a median-income family has less income than the minimum required.

DFPS sets priorities for the delivery of protective services. In establishing priorities, DFPS defines timeframes for conducting initial face-to-face interviews with alleged victims. The priorities are based on severity and immediacy of alleged threat to the life or physical safety of the alleged victim. (40 Texas Administrative Code §705.2101)

The initial face-to-face contact with the alleged victim is conducted according to the following priorities:

Priority 1: Allegations that the victim is in a state of serious harm or is in danger of death from abuse or neglect. APS makes face-to-face contact within 24 hours of SWI’s receipt of Priority I allegations.

Priority 2: Allegations that the victim is abused, neglected, or financially exploited and, as a result, is at risk of serious harm. APS makes face-to-face contact within three calendar days of SWI’s receipt of Priority II allegations.

Priority 3: All other allegations that the victim is in a state of abuse or neglect. APS makes face-to-face contact within seven calendar days of SWI’s receipt of Priority III allegations.

Priority 4: Allegations of financial exploitation when there is no danger of imminent impoverishment or deprivation of basic needs. APS makes face-to-face contact within 14 calendar days of SWI’s receipt of Priority IV allegations.

Inclusion is based on the Intake Closure Date.

Based on Emergency Department (ED) Visits view quarterly trends in overdose rates for Any Drug Overdoses, Any Opioid Overdoses and Heroin Overdoses at the state and county level. Please see Overdose Data Technical Notes for additional details: http://www.health.pa.gov/Your-Department-of-Health/Offices%20and%20Bureaus/PaPrescriptionDrugMonitoringProgram/Documents/OverdoseDataTechnicalNotes.pdf Syndromic surveillance is the analysis of medical data to detect or anticipate disease outbreaks. According to a CDC definition, "the term 'syndromic surveillance' applies to surveillance using health-related data that precede diagnosis and signal a sufficient probability of a case or an outbreak to warrant further public health response.

This dataset documents Groups A & B arrests as reported by the Asotin County Sheriff's Office to NIBRS (National Incident-Based Reporting System).

This dataset contains information on the number of doses given for Naloxone throughout the Commonwealth of Pennsylvania by County. If the Incident County FIPS Code column is blank it means Not Recorded, as this field was blank by the Patient Care Report (PCR) vendor or the EMS Provider. Data is updated Quarterly starting with the first Quarter of Calendar Year 2018.

View full metadata https://www.cambridgema.gov/GIS/gisdatadictionary/Environmental/ENVIRONMENTAL_StreetTrees

Description Trees and tree planting sites owned, planted or maintained by the City of Cambridge, the Massachusetts Department of Conservation and Recreation, and MIT, Harvard University and other private organizations. This layer is maintained by Cambridge Public Works. City owned and maintained trees. This layer is maintained by Cambridge Public Works and updated regularly by the City Arborist.

About Edit Dates This data is automatically updated on a set schedule. The Socrata edit date may not reflect the actual edit dates in the data. For more details please see the update date on the full metadata page or view the edit date within the data rows.

The Computer Aided Dispatch (CAD) Entries data set reflects information approved for general release by the Cambridge Police Department and the Cambridge Fire Department. All entries are inputted by dispatchers in the Emergency Communications Center (ECC). This data set does not reflect all events received by the ECC. Certain entries are not included due to concerns related to privacy, criminal investigation, or protected data. Additionally, not all entries reflect a dispatched response and some data may reflect a duplicate entry for a specific incident. This dataset does not include any first responder calls related to emergency medical services (EMS), and does not contain all police or fire entries.

Please note that this data set contains Code Enforcement cases from May 12th, 2009 to present. For the purpose of analyzing active cases, please filter for "Open" on the first column, "O/C". Cases are closed in when the in rem judgement is paid and violations are abated. Please see https://www.nola.gov/code-enforcement/ for more information.

This dataset shows the locations where toll gantries cross over the Thruway Authority's roadways. The gantries are used to determine tolls for vehicles that pass under them. They contain cameras, E-ZPass tag readers, and license plate readers, all used to bill users via Cashless Tolling.

View full metadata https://www.cambridgema.gov/GIS/gisdatadictionary/Landmark/LANDMARK_PublicSchools

Description This layer contains point features of all Cambridge public schools. Created for general use by City staff. Used for both mapping and specific identification of buildings with a similar use. Also used by emergency responders for evacuation and if the school is a designated shelter.

About Edit Dates This data is automatically updated on a set schedule. The Socrata edit date may not reflect the actual edit dates in the data. For more details please see the update date on the full metadata page or view the edit date within the data rows.

Inspections and inspection violations for Medical Waste Generators in Marin County. For each licensed Medical Waste Generator facility, data consists of the following: facility license number, inspection date, type of inspection, listing of violations found, number of pharmaceutical violations found, information about the facility, earliest license issue date and geographic information. Only small quantity waste generators are currently tracked in this data set. Data is updated daily.

For any facilities with an earliest license issue date of 11/18/2012, their actual earliest license issue date was before that date. This is due to a change in tracking systems.

If a facility has any of the following violation codes they are considered by Environmental Health Services to have had pharmaceutical disposal violations strictly for purposes of the pharmaceutical disposal violations count shown in this data set. There are of course many other serious violations.

118275.g 118275

Texas county centroid latitude and longitude map data.

Listing of harmful algal bloom occurrences by waterbody.

Data from 2012-2018 available at https://data.ny.gov/Energy-Environment/Harmful-Algal-Bloom-Statewide-Occurrence-Summary-2/qtg2-hjth.

The dataset shows status information for: • Chemical Bulk Storage (CBS) Facilities pursuant to the Hazardous Substance Bulk Storage Law, Article 40 of ECL; and 6 NYCRR 596-599. • Major Oil Storage Facilities (MOSF) pursuant to Article 12 of the Navigation Law and 6 NYCRR Part 610 • Petroleum Bulk Storage (PBS) Facilities registered pursuant to title 10 of Article 17 and 6 NYCRR Part 613.

Information may include: Program Number; Program Type; Site Type Name; Program Facility Name; Address; Locality; County; NYSDEC Region; Tank Number; Tank Location; Tank Status; Install Date; Capacity in Gallons; Tank Type; Close Date; Material Name (of substance in tank); Percent (of material in tank - if hazardous substance - CBS tanks only); Expiration Date; (of license or registration); Site Status Name; UTMX and UTMY location coordinates.

Information on OCFS regulated child care programs, which includes program overview information and violation history.

This dataset is in a user-friendly human-readable format. It contains the current crossing inventory - one record for each crossing. To download historical data, go here: https://data.transportation.gov/Railroads/Crossing-Inventory-Data-Historical/vhwz-raag. To download the source dataset that contains raw data values, go here: https://data.transportation.gov/dataset/Crossing-Inventory-Source-Data-Form-71-Current/xp92-5xme.

Property Tax Abatement data includes all projects that have received a supporting City Council Ordinance since January, 2011. Cook County offers several property tax incentive programs that promote economic development and employment opportunities by reducing property taxes on qualifying properties for a fixed period. The Department of Planning and Development reviews applications for compliance with program eligibility requirements.

Official Dataset

Applications for preapprovals for Additional Dwelling Units (ADUs) received by the Department of Housing pursuant to the December 2020 ADU Ordinance. After issuance of an ADU preapproval, the owner must obtain a building permit from the Department of Buildings before constructing an ADU.

For a map of the eligible areas, please see https://data.cityofchicago.org/d/n8dk-kjjn.

For more information about ADUs in Chicago, visit http://www.chicago.gov/ADU.

Data Description: Residential Tax Abatements (CRAs) are designed to make it possible for property owners to minimize the taxes they pay while still owning their homes. The Abatement allows owners to pay taxes on the pre-improvement value of their property for 10-15 years. Property tax abatement is available for any increased valuation that results from improvements to the property for new construction and renovation. This data includes address of residential abatement; neighborhood; LEED date and class (for properties that meet Leadership in Energy and Environmental Design standards), permit and application dates; county certification date (when available + applicable); incentive amount; construction type; and ownership type.

Note: Incentive values are estimates only.

Data Creation: Data updated by the Department of Community and Economic Development (DCED)

This data also relies on information provided by the Hamilton County Auditor and may experience lag times in updating and data verification from their data sources.

Data Created By: DCED

Refresh Frequency: Daily

CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/kceu-xqtz

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

As described in https://data.cityofchicago.org/stories/s/311-Dataset-Changes-12-11-2018/d7nq-5g7t, the function of this dataset was replaced by https://data.cityofchicago.org/d/v6vf-nfxy. This dataset is historical-only.

All open reports of "Street Lights - All Out" (an outage of 3 or more lights) made to 311 and all requests completed since January 1, 2011.The Chicago Department of Transportation (CDOT) oversees approximately 250,000 street lights that illuminate arterial and residential streets in Chicago. CDOT performs repairs and bulb replacements in response to residents’ reports of street light outages.

Whenever CDOT receives a report of an “All Out” the electrician assigned to make the repair looks at all the lights in that circuit (each circuit has 8-16 lights) to make sure that they are all working properly. If a second request of lights out in the same circuit is made within four calendar days of the original request, the newest request is automatically given the status of “Duplicate (Open).” Since CDOT's electrician will be looking at all the lights in a circuit to verify that they are all working, any “Duplicate (Open)” address will automatically be observed and repaired.

Once the street lights are repaired, the status in CSR will read “Completed” for the original request and “Duplicate (Closed)” for any duplicate requests. A service request also receives the status of “Completed” when the reported lights are inspected but found to be in good repair and functioning; when the service request is for a non-existent address; or when the lights are maintained by a contractor. Data is updated daily.

The program described below ended in 2019. This dataset is being retained for historical reference.

The information displayed represents a de-identified listing of arrest data from August 1, 2012 to July 31, 2016, that was used by the Chicago Police Department’s Strategic Subject Algorithm, created by the Illinois Institute of Technology and funded through a Department of Justice Bureau of Justice Assistance grant, to create a risk assessment score known as the Strategic Subject List or “SSL.” These scores reflect an individual’s probability of being involved in a shooting incident either as a victim or an offender. Scores are calculated and placed on a scale ranging from 0 (extremely low risk) to 500 (extremely high risk).

Based on this time frame’s version of the Strategic Subject Algorithm, individuals with criminal records are ranked using eight attributes, not including race or sex. These attributes are: number of times being the victim of a shooting incident, age during the latest arrest, number of times being the victim of aggravated battery or assault, number of prior arrests for violent offenses, gang affiliation, number of prior narcotic arrests, trend in recent criminal activity and number of prior unlawful use of weapon arrests.

Please note that this data set includes fields that are not used to calculate SSL, for example, neither race nor sex are used in the Strategic Subject Algorithm. Portions of the arrest data are de-identified on the basis of privacy concerns. The attributes used in the Strategic Subject Algorithm were revised on an ongoing basis during the lifetime of the program.

Each record in this dataset shows information about an arrest executed by the Chicago Police Department (CPD). Source data comes from the CPD Automated Arrest application. This electronic application is part of the CPD CLEAR (Citizen Law Enforcement Analysis and Reporting) system, and is used to process arrests Department-wide.

A more-detailed version of this dataset is available to media by request. To make a request, please email dataportal@cityofchicago.org with the subject line: Arrests Access Request. Access will require an account on this site, which you may create at https://data.cityofchicago.org/signup. New data fields may be added to this public dataset in the future. Requests for individual arrest reports or any other related data other than access to the more-detailed dataset should be directed to CPD, through contact information on that site or a Freedom of Information Act (FOIA) request.

The data is limited to adult arrests, defined as any arrest where the arrestee was 18 years of age or older on the date of arrest. The data excludes arrest records expunged by CPD pursuant to the Illinois Criminal Identification Act (20 ILCS 2630/5.2).

Department members use charges that appear in Illinois Compiled Statutes or Municipal Code of Chicago. Arrestees may be charged with multiple offenses from these sources. Each record in the dataset includes up to four charges, ordered by severity and with CHARGE1 as the most severe charge. Severity is defined based on charge class and charge type, criteria that are routinely used by Illinois court systems to determine penalties for conviction. In case of a tie, charges are presented in the order that the arresting officer listed the charges on the arrest report. By policy, Department members are provided general instructions to emphasize seriousness of the offense when ordering charges on an arrest report.

Users interested in learning more about CPD arrest processes can review current directives, using the CPD Automated Directives system (http://directives.chicagopolice.org/directives/). Relevant directives include:

• Special Order S06-01-11 – CLEAR Automated Arrest System: describes the application used by Department members to enter arrest data. • Special Order S06-01-04 – Arrestee Identification Process: describes processes related to obtaining and using CB numbers. • Special Order S09-03-04 – Assignment and Processing of Records Division Numbers: describes processes related to obtaining and using RD numbers. • Special Order 06-01 – Processing Persons Under Department Control: describes required tasks associated with arrestee processing, include the requirement that Department members order charges based on severity.

City of Winnipeg trade permits issued since 2010, containing most information about the permits. For definitions of the building permit status, please see https://ppdportal.winnipeg.ca/Permits/PropertyPermitSearch/SearchFAQ.jsp

Playground equipment maintained by Calgary Parks or located on lands under Calgary Park’s stewardship.

This dataset displays location for vehicles that have been towed and impounded by the City of Chicago within the last 90 days. Illegally parked vehicles, abandoned vehicles and vehicles used for illegal activities may be towed by the Chicago Police Department, the Department of Streets and Sanitation, the Department of Revenue, Aviation and the office of the City Clerk. After a tow request is issued, an inventory number is assigned by the Department of Streets and Sanitation and a truck is dispatched to tow the requested vehicle to a City auto pound. Disclaimer: This dataset includes vehicles towed or relocated by the City of Chicago; it does not include vehicles towed by a private towing company.

Background Information: Auto Pound Locations (http://j.mp/kG5sgF). Tow Process Overview (http://j.mp/lfBOEP). Common Towing Questions (http://j.mp/imFYlp). Parking and Standing Violations (http://j.mp/ifW8Uj). Related Applications: Find Your Vehicle (http://j.mp/lWn0S7).

This dataset contains a list of the homes that the City has provided down payment assistance for purchase. The City of Little Rock has allocated funds to assist low and moderate income first time homebuyers to purchase owner occupancy residential properties within the city limits. Applicants must be pre-approved by a lender. The program funds are provided by HUD through the HOME Investment Partnership Program.

A Note from the State's Attorney's Office as of 12/30/2024:

The Cook County State's Attorney's Office believes data transparency is an important accountability and public safety tool and is committed to providing Cook County residents with this critical information. Currently, we are working to make sure that the data we share is valid, accurate, and presented in a format that is useful to the public. Our goal is to have resumed updating the Cook County open data site within the first 100 days of the new administration.

Dataset Description:

The intake data presented in this data reflects the cases brought in for review. Each row represents a potential defendant in a case. Please use this link for more instructions and data glossary: https://www.cookcountystatesattorney.org/resources/how-read-data

Youth (8th, 10th and 12th grade) obesity and overweight rate from Washington State Healthy Youth Survey (HYS). The Healthy Youth Survey (HYS) is a collaborative effort of the Office of the Superintendent of Public Instruction, the Department of Health, the Health Care Authority - Division of Behavioral Health and Recovery, and Liquor and Cannabis Board.

This was one single topic among many as part of the September 2014 Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=86&t=1. Open from Sept 08 - 15, 2014. At the time the survey was launched survey invitations were sent to 1291 Insight Community Members. 703 members completed the survey which represents a completion rate of 54%. A total of 919 respondents completed the survey: 703 Insight Community Members and 216 using the anonymous link which will have no demographic info.

This was one single topic among many as part of the August 2015 Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=476&as=Hp0xa33UD7&t=1. Open from August 10 - 18, 2015. At the time the survey was launched survey invitations were sent to 3275 Insight Community Members. 1329 members completed the survey which represents a completion rate of 41%. A total of 1442 respondents completed the survey: 1329 Insight Community Members and 113 using the anonymous link which will have no demographic info.

A list of outdoor sports fields/infrastructure within Edmonton, with point geometry.

Note that not all of these facilities are owned and maintained by the City of Edmonton; for facilities owned by entities other than the City of Edmonton (community leagues for example), it is possible that there may be access restrictions, a charge for access etc.

Persons fully vaccinated by county by day of administrations

For a detailed description of the data, see "About Data" on the DPH Vaccine Distribution Dashboard: https://experience.arcgis.com/experience/3d8eea39f5c1443db1743a4cb8948a9c

This dataset contains the list of Election day voting stations, building name, address, along with the geometry point location for the 2021 Edmonton Election. Election Day is October 18 and voting stations will be open from 9am until 8pm.

This dataset is used to create a histogram displaying the aging of defendants in jail, for today's defendants in jail on superior court criminal cases. The starting dataset is https://sharefulton.fultoncountyga.gov/Government/Superior-Court-Defendants-in-Jail/raqb-js7j , and is aggregated, filtered, and manipulated into this form using the R programming language.

This dataset contains the Planning and Development permits from January 2019 to year to date.

This is an archived version of the Sentencing dataset as it was originally released on February 13, 2018.

This dataset displays Violent & Property Crimes that have taken place in the City of Little Rock. These are part 1 crimes which are reported to FBI. These numbers are subject to change due to reclassifying. Addressing is not provided on Rapes or associated items for victim privacy.

From the Department of Environmental Control, a list of Asbestos Abatement Permits for 3Q 2012.

This was one single topic among many as part of the August 2014 Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=76&t=1. Open from Aug 19 - 25, 2014. At the time the survey was launched survey invitations were sent to 1029 Insight Community Members. 646 members completed the survey which represents a completion rate of 63%. A total of 816 respondents completed the survey: 646 Insight Community Members and 170 using the anonymous link which will have no demographic info.

This has been deprecated as of 2024-10-22 due to lack up updates, and will be removed in a few weeks.

This dataset is a list of business who are recognized for the following:

Recognizing businesses that strive to create a welcoming space for all children through attitude, amenities and activities.

For further information regarding Child Friendly Businesses and how to become one, please visit:

https://www.edmonton.ca/programs_services/for_children_kids_youth/business-recognition-program

This chart counts victims in completed investigations. Completed investigations only include those cases conducted as a traditional investigation that were not administratively closed or merged into another stage. An investigation can only be administratively closed if all allegations have a disposition of administrative closure. A completed investigation can include more than one alleged victim. Completed investigations do not include any Alternative Response stages.

A confirmed victim on a completed investigation is a child who is a victim on at least one allegation with a disposition of reason to believe.

An unconfirmed victim on a completed investigation is a child who was an alleged victim on at least one allegation with a disposition of unable to complete, unable to determine or ruled out.

A description of Alternative Response and how it differs from a traditional investigation and the definitions of the different dispositions in a traditional investigation are in the glossary.

Visit dfps.texas.gov for information on CPS Abuse/Neglect Investigations and all DFPS programs.

A patient's description of events involving Alcohol, Cocaine, Crystal Meth, Marijuana or Opioids use documented by WFPS paramedic crew. Each record represents one patient and one substance.
Note: 'Incident Number' can appear more than once as Incident Number can have more than one unique patient (identified by 'Patient Number') and each unique patient can report more than one substance.

The Initiation results data presented here reflects all of the arrests that came through the door of the State's Attorneys Office (SAO). Included in this data set are the defendant counts by race and initiation, their associated offense type, and year.

An initiation is how an arrest turns into a “case” in the courts. Most cases are initiated through a process known as felony review, in which SAO attorneys make a decision whether or not to prosecute. Cases may also be indicted by a grand jury or, in narcotics cases, filed directly by law enforcement (labeled "BOND SET (Narcotics)" in this data). Included in this data set are the defendant counts by initiation and year. This data includes felony cases handled by the Criminal, Narcotics, and Special Prosecution Bureaus. It does not include information about cases processed through the Juvenile Justice and Civil Actions Bureaus.

Listing of all requests raised to 311 during the year 2018, details of each call/transaction and update on the status.

For current data, please see https://data.edmonton.ca/d/q7ua-agfg.

This is anonymized data intended for reporting on trends; if you have a specific reference number for which you would like to check the status, please see the "check your status" search box at https://www.edmonton.ca/programs_services/311-city-services.

ABOUT THIS CHART Allegation Disposition (Findings) Codes:

Valid. Based on the standard of preponderance of the evidence, it is more likely than not that the maltreatment occurred.

Invalid. Based on the standard of preponderance of the evidence, it is more likely than not that the maltreatment did not occur.

Unable to Determine. A preponderance of the available evidence is insufficient to support a finding of Valid or Invalid.

Other. The allegation disposition Other is used when an investigation of the allegation was not completed for some reason, e.g. clients died or cases were misclassified.

1. Family Violence is indicated when a validated investigation has a relative perpetrator, excluding those where financial exploitation is the only confirmed allegation.

2. Beginning in Fiscal Year 2015, services provided during the investigation are documented in the investigation stage and not in a separate service stage.

3. The "Other" Disposition category refers to those investigations that workers could not complete, e.g. clients died or cases were misclassified.

4. The population totals do not match prior DFPS Data Books, printed or online. Past population estimates are adjusted based on the U.S. Census data as it becomes available. This is important to keep the data in line with current best practices, but will cause some past counts, such as Abuse/Neglect Victims per 1,000 Texas Children, to be recalculated.

Population Data Source - Population Estimates and Projections Program, Texas State Data Center, Office of the State Demographer and the Institute for Demographic and Socioeconomic Research, The University of Texas at San Antonio.

Current population estimates and projections for all years from 2014 to 2023 as of December 2023.

Visit dfps.state.tx.us for information on all DFPS programs.

This was one single topic among many as part of the February Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=193&t=1. Open from February 9 - 17, 2015. At the time the survey was launched survey invitations were sent to 2302 Insight Community Members. 1021 members completed the survey which represents a completion rate of 44%. A total of 1205 respondents completed the survey: 1137 Insight Community Members and 68 using the anonymous link which will have no demographic info.

Officers are authorized to use deadly force to protect themselves or the public when facing an imminent threat of death or serious bodily injury. This dataset shows incidents where police officers discharged (fired) their firearm.

Only incidents with Access Levels 3 and 5 are general access and approved for the public (other incidents are confidential and have limited access for Internal Affairs only).

The Texas Commission on the Arts funds a wide variety of arts and cultural activities across the state. This is a list of all the grants approved by the Commission. You can search this list by the grantee organization name, by city, or by Texas region.

Help us provide the most useful data by completing our ODP User Feedback Survey for Child and Adult Care Food Program (CACFP) Data

About the Dataset This dataset contains contact and program participation information for Day Care Home (DCH) providers approved to operate under the Child and Adult Care Food Program (CACFP) during program year 2020-2021. Contracting Entity (CE) sponsors can participate in more than one CACFP program. The CACFP program year begins October 1 and ends September 30.

In March 2020, USDA began allowing flexibility in nutrition assistance program policy to support continued meal access should the coronavirus pandemic (COVID-19) impact meal service operation. Sites participating in these flexibilities are indicated in the newly added COVID Meal Site column of this dataset. For more information on the waivers implemented for this purpose, please visit our website at SquareMeals.org.

This dataset only includes information for Texas Day Care Home providers participating in CACFP. For data on CEs and sites participating as Adult Day Care Centers (ADC), Child Care Centers (CCC), At-Risk Afterschool Centers (At-Risk), Head Start Centers, emergency shelters, and centers providing care for students outside school hours, please refer to the “Child and Adult Care Food Programs (CACFP) – Centers – Contact and Program Participation” dataset, also on the State of Texas Open Data Portal.

Dataset content and column order have been updated starting with program year 2018-2019 forward. Older program year datasets will retain original content and organization.

An overview of all CACFP data available on the Texas Open Data Portal can be found at our TDA Data Overview - Child and Adult Care Food Programs page.

An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page.

More information about accessing and working with TDA data on the Texas Open Data Portal can be found on the SquareMeals.org website on the TDA Food and Nutrition Open Data page.

About Dataset Updates TDA aims to post new program year data by December 15 of the active program year. Updates will occur quarterly and end 90 days after the close of the program year. Any data posted during the active update period is subject to change. After 90 days from the close of the program year, the dataset will remain published but will no longer be updated.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Programs (CACFP), and summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our SquareMeal.org website.

Every year, the City of Cambridge’s Economic Development Division conducts a customer intercept study at a different commercial district. The results of this study are provided in this dataset to facilitate year-over-year and square-by-square analysis.

This data has been scrubbed of ZIP codes to prevent any respondents from being identified. The customer intercept survey is slightly altered each year for the specific district in consideration, so the exact wording of questions and the questions asked are not necessarily consistent from year to year.

If a question was not asked in a given district’s survey, “[Question Not Asked In This District's Survey]” is listed as the value. A blank cell indicates that the respondent did not answer that question, although it was asked.

In many questions, such as mode of transit, participants were asked to give one answer but often filled in more than one. On surveys after 2014, we captured all of their responses, rather than just the one.

All of the final reports developed from this data are available here: http://www.cambridgema.gov/CDD/econdev/aboutcambridge

Edmonton Public School Board (EPSB) school locations.

Please see https://www.epsb.ca/schools/findaschool/.

Reported crimes against persons and crimes against property based on National Incident Based Reporting System (NIBRS). Data reflects crime statistics reported to the Nevada Department of Public Safety on a monthly basis. Data is preliminary and subject to change without notice based on case updates.

The City of Henderson Police Department became NIBRS certified in 2020 before the January 1, 2021 deadline mandated by the FBI who compiles and publishes the Uniform Crime Report. The FBI requires all law enforcement agencies reporting crime statistics to utilize NIBRS standards and methodology instead of the previous Summary Reporting System (SRS) which was used by the City of Henderson from 1953 to 2020.

Washington’s PMP was created (RCW 70.225 (2007)) to improve patient care and to stop prescription drug misuse by collecting dispensing records for Schedule II, III, IV and V drugs, and by making the information available to medical providers and pharmacists as a patient care tool. Program rules, WAC 246-470, took effect August 27, 2011. The program started data collection from all dispensers October 7, 2011.

Under RCW 70.225.040(5)(a), the department is authorized to publish public data after removing information that could be used directly or indirectly to identify individual patients, requestors, dispensers, prescribers, and persons who received prescriptions from dispensers. The data available here are de-identified, and exclude patient, prescriber, and dispenser related information in alignment with program rules WAC 246-470-080. No requestor information is available here.

Prescriptions excluded from PMP include those dispensed outside of WA State, those prescribed for less than or equal to 24 hours, those administered or given to a patient in the hospital, and those dispensed from a Department of Corrections pharmacy (unless an offender is released with a prescription), an Opioid Treatment Program, and some federally operated pharmacies (Indian Health Services and Veterans Affairs report voluntarily since 2015).

Further information on collection and management of PMP data at DOH can be found at www.doh.wa.gov/pmp/data.

This was one single topic among many as part of the April Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=254&t=1. Open from April 14 - 22, 2015. At the time the survey was launched survey invitations were sent to *** Insight Community Members. 947 members completed the survey which represents a completion rate of 41%. A total of 979 respondents completed the survey: 947 Insight Community Members and 32 using the anonymous link which will have no demographic info.

Child Protective Investigations (CPI) is authorized to investigate abuse and neglect allegedly committed by a person responsible for a child's care, custody or welfare and to protect abused and neglected children from further harm. This authorization is derived from the U.S. Social Securities Act, Texas Family Code, Human Resources Code, Child Abuse Prevention and Treatment Act, Indian Child Welfare Act and the Adam Walsh Act.

CPI conducts either a traditional investigation or Alternative Response (AR). Both require CPI to assess safety and take needed actions to protect a child and assess the risk of future abuse or neglect in the foreseeable future. AR, however, allows for a more flexible, family engaging approach on lower priority cases involving alleged victims who are age 6 or older. AR differs from traditional investigations in that there is no substantiation of allegations, no entry of perpetrators into the Central Registry (a repository for reports of child abuse and neglect), and there a heightened focus on guiding the family to plan for safety in a way that works for them and therefore sustains the safety.

Completed investigations only include those cases conducted as a traditional investigation that were not administratively closed or merged into another stage. An investigation can only be administratively closed if all allegations have a disposition of administrative closure. A completed investigation can include more than one alleged victim. Completed investigations do not include any Alternative Response cases. A description of Alternative Response and how it differs from a traditional investigation is in the glossary.

FOOTNOTES An investigation represents a report of abuse or neglect and can involve multiple children.

The data on completed investigations does not include investigative stages that were administratively closed or merged into another investigation.

All completed investigations have a case disposition and a risk finding.

Visit dfps.state.tx.us for information on Abuse/Neglect Investigations and all DFPS programs.

Data Source: https://www.cambridgema.gov/GIS/gisdatadictionary/Trans/TRANS_Intersections

Description This point layer contains start and end nodes for all of the street segments in Cambridge. It also contains street names for all intersections. Created in accompaniment with the Centerlines data layer. Each street segment has a "from node" and a "to node" to connect the streets and to indicate the direction of the segment.

About Edit Dates This data is automatically updated on a set schedule. The Socrata edit date may not reflect the actual edit dates in the data. For more details please see the update date on the full metadata page or view the edit date within the data rows.

List of all transit bus stops in Edmonton.

See https://developers.google.com/transit/gtfs/reference#stopstxt for documentation.

Total number of citizen complaint driven or officer initiated snow on City sidewalk, nuisance property, graffiti, noxious weeds, and business licence Bylaw investigations

This dataset contains the historical assessed value of properties within the City of Edmonton. It is effective from 2012-01-01 until 2024-12-31.

The information is collected for property assessment interpretation purposes only.

The City of Edmonton does not warrant or guarantee the completeness and accuracy of the information presented. The City of Edmonton does not assume responsibility nor accept any liability arising from any use of the information other than for property assessment interpretation.

Last updated 2025-01-10T10:00:00-07:00.

The City of Edmonton has shifted the delivery of legal and title parcel mapping to the provincial government and their designated partners. As of November 1st, 2021, the City will no longer provide datasets with land parcel boundary polygon geometry. Alberta Data Partnerships (ADP) - https://abdatapartnerships.ca/ - and their joint venture partner AltaLIS - https://www.altalis.com - now have the responsibility for making this information available for most of the province, including within the City of Edmonton.

Please see our Digital Map Products website https://www.edmonton.ca/business_economy/purchase_maps_aerial_photographs/digital-products for more information.

This dataset shows closed public works service requests reported on or after January 1, 2020, for Citizen Connect.

This dataset contains centroid point geometry for all Assessment Parcels in the City of Edmonton.

The City of Edmonton has shifted the delivery of legal and title parcel mapping to the provincial government and their designated partners. As of November 1st, 2021, the City will no longer provide datasets with land parcel boundary polygon geometry. Alberta Data Partnerships (ADP) - http://abdatapartnerships.ca - and their joint venture partner AltaLIS - https://www.altalis.com - now have the responsibility for making this information available for most of the province, including within the City of Edmonton.

Please see our Digital Map Products website https://www.edmonton.ca/business_economy/purchase_maps_aerial_photographs/digital-products for more information.

Police Incidents represent all calls for police responses. These include burglary and trespass reports, assaults, drug related calls, thefts, vandalism, and reports of suspicious activity. Officer initiated activity such as traffic stops is also included in police incidents.

Addresses and Geolocation have been partially obfuscated to the nearest 100 block to protect the privacy of individuals. When mapped this may make the data appear to happen at an intersection when it actually happens within that block. For incidents that do not have an exact block number or the address was typed in by dispatch incorrectly the obfuscation method may place the item much further away than the actual location.

Some incidents will result in a police report, which can be found in the dataset "Police Cases." Case reports involving domestic violence, child abuse, or sex offenses involving minors have been removed from this data set.

Incidents designated as Collisions are included in this dataset and should be classified as what was reported to the 911 dispatcher. In order to track verified collisions a Police Traffic Collision Report (PTCR) is completed, which results in a case being created.

Environmental Remediation Sites are areas being remediated under one of DEC's remedial programs, including State Superfund and Brownfield Cleanup. This database contains records of the sites which have been remediated or are being managed under by the agency. All sites listed on the "Registry of Inactive Hazardous Waste Disposal Sites in New York State" are included in this database. The Database also includes the "Registry of Institutional and Engineering Controls in New York State".

Each site record includes: Administrative information, including site name, classification, unique site code, site location, and site owner(s). Institutional and Engineering Controls implemented at the site. Wastes known or thought to be disposed at the site.

The New York State Office of Parks, Recreation and Historic Preservation (OPRHP) oversees more than 250 state parks, historic sites, recreational trails, golf courses, boat launches and more, encompassing nearly 350,000 acres, that are visited by 74 million people annually. These facilities contribute to the economic vitality and quality of life of local communities and directly support New York’s tourism industry. Parks also provide a place for families and children to be active and exercise, promoting healthy lifestyles. The agency is responsible for the operation and stewardship of the state park system as well as advancing a statewide parks, historic preservation, and open space mission.

The New York State Historic Preservation Office maintains the list of New York State’s National Register of Historic Places. The National Register of Historic Places is the official list of the Nation's historic places worthy of preservation. Authorized by the National Historic Preservation Act of 1966 ( Federal Regulation 36 CFR 60 ) the National Park Service's National Register of Historic Places is part of a national program to coordinate and support public and private efforts to identify, evaluate, and protect America's historic and archeological resources. To be considered eligible, a building, district, structure or object must meet the National Register Criteria for Evaluation. This involves examining the property’s age, integrity, and significance. Please see metadata for additional information, including how to access the agency’s Cultural Resource Information System (CRIS) which provides access to the agency’s database of historic records associated with each project listing in this dataset.

This dataset shows crime statistics for the City of Clarkston, WA Police Department.

The Delaware Department of Correction (DOC) operates four prison facilities (Level V), eight quasi-incarceration community corrections facilities that serve as violation of probation centers or work release centers (Level IV), and five Probation & Parole locations (Levels III, II, and I). Offenders may also be supervised while on home confinement, or the offender may be supervised on an administrative basis only while restitution is paid. Some offenders are physically housed at the Delaware Psychiatric Center while in the custody of the DOC. This dataset provides a snapshot of the offender population in custody or under supervision at these various locations on the last day of each calendar month. A count of how many offenders by the year, month (snapshot of last day of month), county, type of institution, institution name, sentence type, gender, race, and ethnicity can be produced by selecting the desired variable in each category. Questions about offender data can be directed to the DOC’s Planning & Research Unit. Instructions for submitting a data request can be found here: http://www.doc.delaware.gov/datarequests.shtml. The DOC’s annual reports (http://www.doc.delaware.gov/annualReport.shtml) also contain a variety of information and data.

List of various Animal (Cats or Dogs) Breeds by Forward Sortation Area (First 3 characters of the Postal Code)

ABOUT THIS CHART

Child Protective Investigations (CPI) conducts either a traditional investigation or Alternative Response (AR). Traditional investigations and Alternative Response require caseworkers to assess safety and take needed actions to protect a child while assessing any risk of abuse or neglect in the foreseeable future. AR cases present a less adversarial more collaborative approach to working with families by allowing for family engagement along with other community supports to ensure child safety. AR differs from traditional investigations in that AR cases are Priority 2 cases involving victims who are age 6 or older, there is no substantiation of allegations, no entry of perpetrators into the Central Registry (a repository for reports of child abuse and neglect), and there is a heightened focus on guiding the family to plan for safety in a way that works for them and therefore sustains safety.

Alternative response is timely if the first face-to-face meeting with the family and children in the household occurs within five days of an AR stage being opened and will involve working with the family to conduct safety and family assessments. AR cases can remain open for up to 60 days with a one-time 20-day extension, if appropriate. Should CPI staff identify services to improve general family functioning and overall protective actions within the standard AR case time frame, the caseworker will provide support in linking the family to existing resources within the community.

A description of Alternative Response and how it differs from a traditional investigation and priority response times are in the glossary.

Alterative Response has been fully implemented in Regions 1, 2, 3, 4, 5, 6B, 7, 8, 9, 10 and 11. AR in Region 6A is in the implementation stage. Full state implementation is anticipated in March 2021. Region 6A is Harris County and Region 6B is Region 6 excluding Harris County.

This dashboard addresses the Texas Family Code Section 264.017 (b) (6).

Owners or operators of emission sources that are subject to 6 NYCRR Subpart 201-5 must obtain a State facility permit.

Draft permits are official versions of permits whose initial development is complete, public notice given, and made available for public review and comment.

These permits are prepared by the Division of Air Resources regional staff.

Owners or operators of emission sources that are subject to 6 NYCRR Subpart 201-6 must obtain a Title V facility permit.

Draft permits are official versions of permits whose initial development is complete, and that are being noticed and made available for public review and comment.

These permits are prepared by the Division of Air Resources regional staff.

Since 1981, OVS has had a legislative appropriation for the purpose of making grants for the provision of local victim/witness assistance and services. Initially, twenty-three programs received grant funds for this purpose. Currently, 186 victim/witness assistance programs have grant awards from the OVS, ranging from $32,000 to over $1.8 million. OVS supports statewide, comprehensive victim/witness assistance services in all sectors of the community. Criminal justice agencies, non-profit victim programs and specific municipal programs all receive support. Examples include DA offices, Probation Departments, YWCAs, local police departments, hospitals, and nonprofit organizations. This data set contains all service locations associated with OVS VOCA awards. It should be noted that some programs do not have a physical address listed, instead, they show a PO Box. In these cases the physical addresses are safeguarded as they are generally Domestic Violence shelters providing services to victims who may be in danger were their location to be disclosed.

This dataset contains counts of full-time staff across 12 salary ranges. Data is aggregated at the state, district, and school level. Additionally, the data are aggregated by job classification, education level, gender, race, and experience.

Owners or operators of emission sources that are subject to 6 NYCRR Subpart 201-5 must obtain a State facility permit.

Draft permits are official versions of permits whose initial development is complete, public notice given, and made available for public review and comment.

These permits are prepared by the Division of Air Resources regional staff.

This was one single topic among many as part of the November 2015 Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=641&as=972dH6O71T&t=1. Open from November 9 - 17, 2015. At the time the survey was launched survey invitations were sent to 3980 Insight Community Members. 1797 members completed the survey which represents a completion rate of 45%. A total of 1914 respondents completed the survey: 1797 Insight Community Members and 117 using the anonymous link which will have no demographic info.

City Controller Ron Galperin released an audit that indicated the Los Angeles’ Department of Animal Services is making progress toward its goal of making Los Angeles a “No Kill” City. Still, last year about one of every four lost or abandoned animals that entered the City’s shelters were euthanized. View the department's raw data on each of the City's six animal shelters below.

Types of Abuse, Neglect and Financial Exploitation -

A single APS case can have more than one allegation.

Neglect is the failure to provide the protection, food, shelter, or care necessary to avoid emotional harm or physical injury. The alleged perpetrator of the neglect may be the victim or the victim's caregiver. There are three types of neglect allegations: Physical Neglect, Medical Neglect, and Mental Health Neglect.

Other allegation types include: Financial Exploitation, Physical Abuse, Emotional or Verbal Abuse, or Sexual Abuse.

The population totals do not match prior DFPS Data Books, printed or ontline. Past population estimates are adjusted based on the U.S. Census data as it becomes available. This is important to keep the data in line with current best practices, but will cause some past counts, such as Abuse/Neglect Victims per 1,000 Texas Children, to be recalculated.

Population Data Source - Population Estimates and Projections Program, Texas State Data Center, Office of the State Demographer and the Institute for Demographic and Socioeconomic Research, The University of Texas at San Antonio.

Current population estimates and projections for all years from 2014 to 2023 as of December 2023.

Visit dfps.state.tx.us for information on all DFPS programs.

Provides a listing of the locations of public cemetery corporations as defined in Not-for-Profit Corporation Law section 1502(a) that are registered with or have been registered with the Division of Cemeteries.

This Dataset contains tax return preparers and facilitators that have registered with the New York State Department of Taxation and Finance pursuant to Tax Law Section 32.

The Airports dataset includes all official and operational aerodromes as of July 16, 2020 and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Airports database is a geographic point database of official operational aerodromes in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the aerodrome, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.

A listing of all certified nursery growers and greenhouses which are licensed by the Department of Agriculture and Markets. Licensing of nursery growers and greenhouses is intended to prevent the introduction of injurious insects, noxious weeds, and plant diseases into the state.

Crime incidents and offenses reported by the Richmond Police Department. *Note: Each report only counts the top crime offense, so it may differ from NIBRS/DOJ count and published Crime-Stat reports on the RPD website (for example, if 1 incident report had multiple offenses occur, only the first/top offense is counted in this).

Average Daily Population (ADP) in Pierce County Corrections. Data sourced from LINX system. Pretrial data included from the Clerk of the Superior Court.

VITAL SIGNS INDICATOR Life Expectancy (EQ6)

FULL MEASURE NAME Life Expectancy

LAST UPDATED April 2017

DESCRIPTION Life expectancy refers to the average number of years a newborn is expected to live if mortality patterns remain the same. The measure reflects the mortality rate across a population for a point in time.

DATA SOURCE State of California, Department of Health: Death Records (1990-2013) No link

California Department of Finance: Population Estimates Annual Intercensal Population Estimates (1990-2010) Table P-2: County Population by Age (2010-2013) http://www.dof.ca.gov/Forecasting/Demographics/Estimates/

U.S. Census Bureau: Decennial Census ZCTA Population (2000-2010) http://factfinder.census.gov

U.S. Census Bureau: American Community Survey 5-Year Population Estimates (2013) http://factfinder.census.gov

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) Life expectancy is commonly used as a measure of the health of a population. Life expectancy does not reflect how long any given individual is expected to live; rather, it is an artificial measure that captures an aspect of the mortality rates across a population that can be compared across time and populations. More information about the determinants of life expectancy that may lead to differences in life expectancy between neighborhoods can be found in the Bay Area Regional Health Inequities Initiative (BARHII) Health Inequities in the Bay Area report at http://www.barhii.org/wp-content/uploads/2015/09/barhii_hiba.pdf. Vital Signs measures life expectancy at birth (as opposed to cohort life expectancy). A statistical model was used to estimate life expectancy for Bay Area counties and ZIP Codes based on current life tables which require both age and mortality data. A life table is a table which shows, for each age, the survivorship of a people from a certain population.

Current life tables were created using death records and population estimates by age. The California Department of Public Health provided death records based on the California death certificate information. Records include age at death and residential ZIP Code. Single-year age population estimates at the regional- and county-level comes from the California Department of Finance population estimates and projections for ages 0-100+. Population estimates for ages 100 and over are aggregated to a single age interval. Using this data, death rates in a population within age groups for a given year are computed to form unabridged life tables (as opposed to abridged life tables). To calculate life expectancy, the probability of dying between the jth and (j+1)st birthday is assumed uniform after age 1. Special consideration is taken to account for infant mortality.

For the ZIP Code-level life expectancy calculation, it is assumed that postal ZIP Codes share the same boundaries as ZIP Code Census Tabulation Areas (ZCTAs). More information on the relationship between ZIP Codes and ZCTAs can be found at http://www.census.gov/geo/reference/zctas.html. ZIP Code-level data uses three years of mortality data to make robust estimates due to small sample size. Year 2013 ZIP Code life expectancy estimates reflects death records from 2011 through 2013. 2013 is the last year with available mortality data. Death records for ZIP Codes with zero population (like those associated with P.O. Boxes) were assigned to the nearest ZIP Code with population. ZIP Code population for 2000 estimates comes from the Decennial Census. ZIP Code population for 2013 estimates are from the American Community Survey (5-Year Average). ACS estimates are adjusted using Decennial Census data for more accurate population estimates. An adjustment factor was calculated using the ratio between the 2010 Decennial Census population estimates and the 2012 ACS 5-Year (with middle year 2010) population estimates. This adjustment factor is particularly im

VITAL SIGNS INDICATOR Life Expectancy (EQ6)

FULL MEASURE NAME Life Expectancy

LAST UPDATED April 2017

DESCRIPTION Life expectancy refers to the average number of years a newborn is expected to live if mortality patterns remain the same. The measure reflects the mortality rate across a population for a point in time.

DATA SOURCE State of California, Department of Health: Death Records (1990-2013) No link

California Department of Finance: Population Estimates Annual Intercensal Population Estimates (1990-2010) Table P-2: County Population by Age (2010-2013) http://www.dof.ca.gov/Forecasting/Demographics/Estimates/

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) Life expectancy is commonly used as a measure of the health of a population. Life expectancy does not reflect how long any given individual is expected to live; rather, it is an artificial measure that captures an aspect of the mortality rates across a population. Vital Signs measures life expectancy at birth (as opposed to cohort life expectancy). A statistical model was used to estimate life expectancy for Bay Area counties and Zip codes based on current life tables which require both age and mortality data. A life table is a table which shows, for each age, the survivorship of a people from a certain population.

Current life tables were created using death records and population estimates by age. The California Department of Public Health provided death records based on the California death certificate information. Records include age at death and residential Zip code. Single-year age population estimates at the regional- and county-level comes from the California Department of Finance population estimates and projections for ages 0-100+. Population estimates for ages 100 and over are aggregated to a single age interval. Using this data, death rates in a population within age groups for a given year are computed to form unabridged life tables (as opposed to abridged life tables). To calculate life expectancy, the probability of dying between the jth and (j+1)st birthday is assumed uniform after age 1. Special consideration is taken to account for infant mortality. For the Zip code-level life expectancy calculation, it is assumed that postal Zip codes share the same boundaries as Zip Code Census Tabulation Areas (ZCTAs). More information on the relationship between Zip codes and ZCTAs can be found at https://www.census.gov/geo/reference/zctas.html. Zip code-level data uses three years of mortality data to make robust estimates due to small sample size. Year 2013 Zip code life expectancy estimates reflects death records from 2011 through 2013. 2013 is the last year with available mortality data. Death records for Zip codes with zero population (like those associated with P.O. Boxes) were assigned to the nearest Zip code with population. Zip code population for 2000 estimates comes from the Decennial Census. Zip code population for 2013 estimates are from the American Community Survey (5-Year Average). The ACS provides Zip code population by age in five-year age intervals. Single-year age population estimates were calculated by distributing population within an age interval to single-year ages using the county distribution. Counties were assigned to Zip codes based on majority land-area.

Zip codes in the Bay Area vary in population from over 10,000 residents to less than 20 residents. Traditional life expectancy estimation (like the one used for the regional- and county-level Vital Signs estimates) cannot be used because they are highly inaccurate for small populations and may result in over/underestimation of life expectancy. To avoid inaccurate estimates, Zip codes with populations of less than 5,000 were aggregated with neighboring Zip codes until the merged areas had a population of more than 5,000. In this way, the original 305 Bay Area Zip codes were reduced to 218 Zip

VITAL SIGNS INDICATOR Life Expectancy (EQ6)

FULL MEASURE NAME Life Expectancy

LAST UPDATED April 2017

DESCRIPTION Life expectancy refers to the average number of years a newborn is expected to live if mortality patterns remain the same. The measure reflects the mortality rate across a population for a point in time.

DATA SOURCE State of California, Department of Health: Death Records (1990-2013) No link

California Department of Finance: Population Estimates Annual Intercensal Population Estimates (1990-2010) Table P-2: County Population by Age (2010-2013) http://www.dof.ca.gov/Forecasting/Demographics/Estimates/

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) Life expectancy is commonly used as a measure of the health of a population. Life expectancy does not reflect how long any given individual is expected to live; rather, it is an artificial measure that captures an aspect of the mortality rates across a population. Vital Signs measures life expectancy at birth (as opposed to cohort life expectancy). A statistical model was used to estimate life expectancy for Bay Area counties and Zip codes based on current life tables which require both age and mortality data. A life table is a table which shows, for each age, the survivorship of a people from a certain population.

Current life tables were created using death records and population estimates by age. The California Department of Public Health provided death records based on the California death certificate information. Records include age at death and residential Zip code. Single-year age population estimates at the regional- and county-level comes from the California Department of Finance population estimates and projections for ages 0-100+. Population estimates for ages 100 and over are aggregated to a single age interval. Using this data, death rates in a population within age groups for a given year are computed to form unabridged life tables (as opposed to abridged life tables). To calculate life expectancy, the probability of dying between the jth and (j+1)st birthday is assumed uniform after age 1. Special consideration is taken to account for infant mortality. For the Zip code-level life expectancy calculation, it is assumed that postal Zip codes share the same boundaries as Zip Code Census Tabulation Areas (ZCTAs). More information on the relationship between Zip codes and ZCTAs can be found at https://www.census.gov/geo/reference/zctas.html. Zip code-level data uses three years of mortality data to make robust estimates due to small sample size. Year 2013 Zip code life expectancy estimates reflects death records from 2011 through 2013. 2013 is the last year with available mortality data. Death records for Zip codes with zero population (like those associated with P.O. Boxes) were assigned to the nearest Zip code with population. Zip code population for 2000 estimates comes from the Decennial Census. Zip code population for 2013 estimates are from the American Community Survey (5-Year Average). The ACS provides Zip code population by age in five-year age intervals. Single-year age population estimates were calculated by distributing population within an age interval to single-year ages using the county distribution. Counties were assigned to Zip codes based on majority land-area.

Zip codes in the Bay Area vary in population from over 10,000 residents to less than 20 residents. Traditional life expectancy estimation (like the one used for the regional- and county-level Vital Signs estimates) cannot be used because they are highly inaccurate for small populations and may result in over/underestimation of life expectancy. To avoid inaccurate estimates, Zip codes with populations of less than 5,000 were aggregated with neighboring Zip codes until the merged areas had a population of more than 5,000. In this way, the original 305 Bay Area Zip codes were reduced to 218 Zip

The Department of Taxation and Finance annually produces a mandated report of taxpayers claiming Brownfield Credits to help analyze the effects of the program. Chapter 390 of the Laws of 2008 created Section 171-r of the Tax Law that requires the Tax Department to produce a Brownfield Credit Report by January 31st of each year. Additionally, Part BB of Chapter 56 of the Laws of 2015 amends Section 171-r to require the Tax Department to produce a supplemental Brownfield Credit Report by January 31, 2016 containing the credits claimed for the years 2005, 2006, and 2007. The mandates require the Department to include the name of each taxpayer claiming the brownfield redevelopment tax credit, the remediated brownfield credit for real property taxes, or the environmental remediation credit, the amount of credit earned, and information identifying the brownfield project generating the credit. The Tax Department is also authorized to include any other information that it deems useful in analyzing the effects of the program.

Contains information about abuse/neglect related investigations that were closed by Day Care Investigations staff during the specified timeframe.

1. Child Care Investigations (CCI), which is a part of CPI and includes Day Care Investigations (DCI) and Residential Child Care Investigations (RCCI), conduct investigations of abuse and neglect. After the investigation is complete, the investigation is assigned to Child Care Regulation (CCR) with HHSC, where the investigation is assessed for deficiencies of minimum standards.

2. The number of unregulated operation investigations is calculated using the operations application date that is after the date of the intake.

3. Exemption requests are submitted to CCR to determine if their operation is subject to regulation.

4. In Fiscal Year 2011, all Licensed Child Care Centers (LCCCs) were divided into one of the following “care types”: Before and After School Program (BAP), School-Age Program (SAP), or Child Care Program (CCL). Any LCCCs with “No Care Type” after Fiscal Year 2010 are operations that were placed on adverse action prior to 09/01/2010, and a new permit was not issued for the specified care type.

5. Abuse and neglect investigations cannot be closed until they have been reviewed and approved by the appropriate CCI staff.

6. The dashboard addresses Texas Family Code Section 264.017(c ).

Included in this data set are data elements that will help the public identify agencies that are certified to operate programs for runaway and homeless youth. These programs are available to assist runaway and homeless youth in emergency situation and provide independent living skills for youth in transition. Data elements include the agency name, agency business address, phone number, website and type of program offered.

Data from County Health Rankings and Roadmaps, a Robert Wood Johnson Foundation program. The County Health Rankings & Roadmaps program is a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute.

The goals of the program are to:

• Build awareness of the multiple factors that influence health
• Provide a reliable, sustainable source of local data and evidence to communities to help them identify opportunities to improve their health
• Engage and activate local leaders from many sectors in creating sustainable community change, and
• Connect & empower community leaders working to improve health.

Listing of design firms submitting qualifications for design procurements

This dataset includes information from a statewide synthesis effort, involving the compilation, analysis, and synthesis of existing data on environmental mercury (Hg) concentrations and loads in New York State, with an emphasis on Hg data collected during recent NYSERDA-sponsored monitoring and research efforts. Compiling existing mercury data is a vital step to understanding the broad spatial and temporal patterns of mercury across the landscape. This dataset includes the results of a deposition modeling study and is one of eight datasets from the statewide synthesis database.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and accelerate economic growth. reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

The Division of Water Stream Biomonitoring Unit (SBU) dataset contains the point sampling locations at which benthic macroinvertebrates, field chemistry, and at some locations, sediment, fish or diatoms have been collected as part of the Rotating Integrated Basin Studies (RIBS) program, Rapid Biological Assessments (RAS), or special studies. The data collected are used for water quality assessment (input to the Waterbody Inventory, completion of the 305(b) report and 303(d) list of impaired Waters) and for track-down of water quality problems. The data set is maintained by the Division of Water, Bureau of Water Assessment and Management, Stream Biomonitoring Unit.

Data Description: This data represents historic calls for service for the Cincinnati Police Department. Calls for Service are the events captured in an agency’s Computer-Aided Dispatch (CAD) system used to facilitate incident response. This dataset includes both proactive and reactive police incident data.

Data Creation: This data is created when a run is entered into the City’s computer-aided dispatch (CAD) system.

Data Created By: The source of this data is the Cincinnati Police Department.

Refresh Frequency: This data is historic and is no longer updated.

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Disclaimer: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.

Rate: Number of deaths due to motor vehicle-related injuries (per 100,000 persons)

Definition: Deaths with motor vehicle-related injury as the underlying cause of death. Motor vehicle-related deaths include motor vehicle and motorcycle drivers and passengers, pedestrians, and bicyclists struck by motor vehicles both on roadways in traffic and in other areas such as parking lots and driveways. ICD-10 codes: V02-V04, V09.0, V09.2, V12-V14, V19.0-V19.2, V19.4-V19.6, V20-V79, V80.3-V80.5, V81.0-V81.1, V82.0-V82.1, V83-V86, V87.0-V87.8, V88.0-V88.8, V89.0, V89.2

Data Source:

1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

2) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

3) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

This was one single topic among many as part of the September 2015 Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=526&as=7YW63mx6N7&t=1. Open from September 08 - 16, 2015. At the time the survey was launched survey invitations were sent to 3516 Insight Community Members. 1477 members completed the survey which represents a completion rate of 42%. A total of 1637 respondents completed the survey: 1477 Insight Community Members and 160 using the anonymous link which will have no demographic info.

The information included in this dataset is for the Governor’s Executive Budget and provides key Program Measures by Agency or Office.

The county and region of the workers are determined by the office to which they are assigned.

Adult Protective Services (APS): APS Investigations employees protect people age 65 and older and adults with disabilities from abuse, neglect, and financial exploitation by investigating and providing or arranging for services necessary to alleviate or prevent further maltreatment.

Child Protective Investigations (CPI/CCI): Counts the number of active CPI and CPS staff on the last day of the fiscal year by staff type and demographics. Child Care Investigations (CCI), which is a part of CPI and include Day Care Investigations (DCI) and Residential Child Care Investigations (RCCI) are only available from 2018 onward. This is due to the split of those job functions from Child Care Licensing, which was a part of DFPS until 2017, when it was transferred to the Health and Human Services Commission (HHSC).

Statewide Intake (SWI): Statewide Intake (SWI) serves as the “front door to the front line” for all DFPS programs. As the central point of contact for reports of abuse, neglect and exploitation of vulnerable Texans. SWI staff are available 24 hours a day, 7 days per week, 365 days per year. Prior to FY2018, all SWI staff were located in the Austin area.

Visit dfps.texas.gov for information on all DFPS programs

This dataset documents incidents reported by Blue Mountain Fire District 1 to NFIRS (National Incident Reporting System).

This data set summarizes participation by Cambridge residents by zip code in three public benefit programs, Supplemental Nutrition Assistance Program (SNAP), Temporary Assistance for Families with Dependent Children (TADFC), and Emergency Aid to the Elderly, Disabled, and Children (EAEDC). Data was drawn from Monthly Caseload by Zip Code reports published by the Department of Transitional Assistance (DTA), which have been published monthly since August 2017.

More information about these food and cash assistance programs, and the complete Monthly Caseload by Zip Code reports, which include program utilization data from all Massachusetts zip codes, may be found on the DTA website:

https://www.mass.gov/orgs/department-of-transitional-assistance

Capital Contracts (Design, Construction and associated services) including expended and encumbrance values.

Represents incarcerated individuals under custody in NYS Department of Corrections and Community Supervision as of March 31 of the snapshot year. Includes data about admission type, county, gender, age, race/ethnicity, crime, and facility.

NOTE: This is an archive version of NOPD Use of Force Incidents, and was last updated on April 27th, 2021. The data in this dataset are in the original format (one row per officer per subject interaction), and are no longer being updated. Please switch to the new format (one row per incident).

This dataset represents use of force incidents by the New Orleans Police Department reported per NOPD Use of Force policy. This dataset includes initial reports that may be subject to change through the review process. This dataset reflects the most current status and information of these reports. This dataset includes one row of data for each combination of officer that used force and subject of force during the incident. For example, if during a use of force incident two officers used force and two people were the subject of force, there will be four rows associated with that incident in this dataset. The number of rows in this dataset does not represent the number of times force was used by NOPD officers. This dataset is updated nightly. Disclaimer: The New Orleans Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.

Yearly citation totals from each year of the MEDLINE/PubMed Baseline referencing citations back to year 1781. These totals may increase over time for a particular year as new citations are added. For example, 25 citations were listed for the year 1800 in the 2018 MEDLINE/PubMed Baseline, while the 2019 Baseline includes 387 citations for that year.

Readings of tsunami wave heights at various locations from the 1946, 1952, 1957, 1960 and 1964 Hawaii tsunamis. Source: 'Tsunami Wave Runup Heights In Hawaii,' Harold G. Loomis, May, 1976. For additional information, please refer to complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/tsunhts.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

ABOUT THIS CHART Child Protective Investigations (CPI) conducts either a traditional investigation or Alternative Response (AR). Traditional investigations and Alternative Response require caseworkers to assess safety and take needed actions to protect a child while assessing any risk of abuse or neglect in the foreseeable future. AR cases present a less adversarial more collaborative approach to working with families by allowing for family engagement along with other community supports to ensure child safety. AR differs from traditional investigations in that AR cases are Priority 2 cases involving victims who are age 6 or older, there is no substantiation of allegations, no entry of perpetrators into the Central Registry (a repository for reports of child abuse and neglect), and there is a heightened focus on guiding the family to plan for safety in a way that works for them and therefore sustains safety.

Alterative Response has been fully implemented in Regions 1, 2, 3, 4, 5, 6B, 7, 8, 9, 10 and 11. AR in Region 6A is in the implementation stage. Full state implementation is anticipated in March 2021. Region 6A is Harris County and Region 6B is Region 6 excluding Harris County.

The persons in these counts are limited to principals in Alternative Response stages. Clients in stages that were administratively closed or closed to merge were excluded from the counts.

This dashboard addresses Texas Family Code Section 264.017 (b) (3).

Child Protective Investigations (CPI) conducts either a traditional investigation or Alternative Response (AR). Traditional investigations and Alternative Response require caseworkers to assess safety and take needed actions to protect a child while assessing any risk of abuse or neglect in the foreseeable future. AR cases present a less adversarial more collaborative approach to working with families by allowing for family engagement along with other community supports to ensure child safety. AR differs from traditional investigations in that AR cases are Priority 2 cases involving victims who are age 6 or older, there is no substantiation of allegations, no entry of perpetrators into the Central Registry (a repository for reports of child abuse and neglect), and there is a heightened focus on guiding the family to plan for safety in a way that works for them and therefore sustains safety.

Alterative Response has been fully implemented in Regions 1, 2, 3, 4, 5, 6B, 7, 8, 9, 10 and 11. AR in Region 6A is in the implementation stage. Full state implementation is anticipated in March 2021. Region 6A is Harris County and Region 6B is Region 6 excluding Harris County.

Stages that were administratively closed or closed to merge were excluded from this report.

This dashboard addresses Texas Family Code Section 264.017 (b) (3).

Details of mobile camera visits, length of visit, location, number of vehicles checked, and highest and average speed for vehicles that were fined. Latitude and longitude of the camera locations can be found at https://www.data.act.gov.au/Transport/Traffic-speed-camera-locations/426s-vdu4 Highest and Average Speed from 18.05.2018 will not be displayed.

This indicator demonstrates that NIST consistently produces useful and relevant scientific and technical publications and is outcome-oriented. The "relative citation impact" indicator is the ratio of the average number of citations per publication (citation rata) for all NIST publications in a year to the average expected citation rate for similar publications in a large group of peer institutions in the world. Publications typically lag by a minimum of two years due to the time needed for research, writing, journal peer review, and publication processes. The average for U.S. institutions is about 1.3.

Impounded cats and dogs are animals sheltered at the Animal Service Centre because they were running at large in their communities, a violation under the Responsible Pet Ownership Bylaw. A cat or dog running at large creates safety issues for the public and for the animal. For more information please visit: http://www.calgary.ca/CSPS/ABS/Pages/Animal-Services/Impounded-cats-dogs.aspx

The Transportation Fuels Inventory dataset contains weekly stock amounts of Central Atlantic diesel as well as gasoline from the Central Atlantic region (PADD 1B), East Coast (PADD 1) and the total U.S. The dataset also contains fuel ethanol stocks for the East Coast and U.S. crude oil stocks. Additionally, East Coast jet fuel stocks are included. The data is collected on a weekly basis and measured in terms of thousands of barrels beginning in April 2004.

How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov.

This dataset includes details for each wildland fire recorded after 2007 under the jurisdiction of the DEC NYS Forest Rangers. Earlier wildfires (1975-2007) under the jurisdiction of NYS DEC Forest Rangers can be found in the historical wildfire dataset. That dataset was formatted for use with FireFamily Plus. Each wildfire controlled or prescribed fire conducted by NYS DEC Forest Rangers is documented as a single incident in this database.

Roseville's Stale Dated Checks list as of April 2025.

"This was one single topic among many, from the March 2021 Mixed Topic survey. To view the survey questions, click the following link:

https://www.edmontoninsightcommunity.ca/c/a/6THegmcslzIKlD0hYFxLIy?t=1

Open from March 10-17, 2021.

At the time the survey was launched survey invitations were sent to 13,461 Insight Community Members. 3624 members completed the survey which represents a completion rate of 26.94%. A total of 2101 respondents completed the survey: 3624 Insight Community Members, 2 from the call to action button on our webpage, and 22 using the anonymous link on Edmonton.ca/Surveys which will have no demographic info."

The injuries that led to the child's death may have been sustained prior to DFPS being granted to legal custody. For example, in Fiscal Year 2016 six children died while in DFPS Conservatorship (five while in Foster Care). However, four of these children sustained the injuries that led to their death prior to being placed in DFPS custody.

This chart includes child fatalities investigated and confirmed by Child Protective Investigations, Day Care Investigations, and Residential Child Care Investigations, and Adult Protective Services. Fatality information does not include corrections or updates, if any, that may subsequently be made to DFPS data after fiscal year end.

Only Children in DFPS Legal Responsibility (Conservatorship) are included. You can further filter to see how many were in Foster Care at the time of death.

The Adult Protective Provider Investigations division was tranferred to the Texas Health and Human Services Commission (HHSC) in Fiscal Year 2018.

This dashboard addresses Texas Family Code Section 264.017, Subsection (b) (4) and (5).

One of the governor’s goals related to public safety is the Department of Corrections will reduce its state correction population by 5% by 2020. DOC overall total population directly drives the Department’s budget. The baseline for the goal is the total population on June 30, 2015. On June 30, 2015, the Pennsylvania Department of Corrections overall population was 50,366.

This dataset contains the total number of state corrections population in the Department’s custody at the end of each month, including those in prison, in contracted county jails, in community phases of the State Intermediate Punishment (SIP) program, in Parole Violator Centers (PVCs), and on temporary transfer to other jurisdictions.

DOC publishes a Monthly Population Report to the DOC Website (www.cor.pa.gov). The information published to the website includes the data set and breakdown of populations in each institution.

The sentencing data presented in this report reflects the judgement imposed by the court on people that have been found guilty. The data is recorded by count, meaning by each individual cause of action, and each count receives a sentence. Included in this data set are the defendant counts by sentence, their associated offense type, and year.

The sentencing data presented in this report reflects the judgement imposed by the court on people that have been found guilty. The data is recorded by count, meaning by each individual cause of action, and each count receives a sentence. Included in this data set are the defendant counts by age and sentence, their associated offense type, and year.

Distribution of various currently-licensed pets (cats, dogs, pigeons) by neighbourhood.

Note that this is a snapshot of pets that were licensed as of the last update date of this dataset; if a pet was licensed a number of years ago but that license has since expired and not been renewed, the details of that pet will not appear in this dataset. It is therefore not possible to use this dataset to see trends in pet licensing over time.

The rows with a year value of '2017' for example do not represent a comprehensive list of all pets that were licensed in 2017, but rather the subset of those pets that are still licensed as of the last update date of this dataset.

Help us provide the most useful data by completing our ODP User Feedback Survey for Summer Meal Programs Data

About the Dataset This data set contains claimed meals served by sites participating in the Seamless Summer Option for summer 2020 (SNP program year 2019-2020). Summer meal programs operate mid-May through the end of August.

In March 2020, USDA began allowing flexibility in nutrition assistance program policies in order to support continued meal access should the coronavirus pandemic (COVID-19) impact meal service operation. This included early operation of the Summer Food Service Program (SFSP) and Seamless Summer Option (SSO). Sites participating in these flexibilities are indicated in the newly added COVID Meal Site column of this dataset. For more information on the waivers implemented for this purpose, please visit our website at SquareMeals.org.

This dataset contains site-level claimed meal counts. Reimbursement data is collected at the sponsor level and is reported in the “Summer Meal Programs – Seamless Summer Option (SSO) – Meal Reimbursements” dataset for the program year.

For data on sites participating in the Summer Food Service Program (SFSP), please refer to the Summer Meal Programs - Summer Food Service Program (SFSP) – Meal Counts and Meal Reimbursement datasets available on the State of Texas Open Data Portal.

An overview of all Summer Meal Program data available on the Texas Open Data Portal can be found at our TDA Data Overview - Summer Meals Programs page.

An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page.

About Dataset Updates TDA aims to post new program year data by July 15 of the active program period. Dataset updates will occur monthly until 90 days after the close of the program period. After 90 days from the close of the program period, the dataset will be updated at six months and one year from the close of program period before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

A detailed list of TDA Food and Nutrition datasets and data fields available on the Texas Open Data Portal can be downloaded as a PDF here.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Program (CACFP), and summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit us at SquareMeals.org.

This dataset contains Police Calls for Service data from January 2019 to Year to Date. This data was from the City's old CAD system that has been replaced as of December 15, 2020 and will no longer be updated.

This information will not be updated while the Cincinnati Police Department undergoes transfer to a new data management system.

Data Description: This data represents documented assaults on officers. Assaults on Officers may be defined as the assault of duly sworn city, university and college, county, state, tribal, and federal law enforcement officers. Incidents that are identified as an assault on an officer can include but are not limited to crimes such as aggravated assault, robbery, theft, vandalism, targeted assault (knowingly harming and officer), and recklessly harming an officer.

Data Creation: This data is recorded using the City's Record Management System (RMS) that stores agency-wide data about law enforcement operations.

Data Created By: The source of this data is the Cincinnati Police Department.

Refresh Frequency: This information will not be updated while the Cincinnati Police Department undergoes transfer to a new data management system.

CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/mrju-z9ui

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Disclaimer: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.

DISCLAIMER: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.

Note: Starting April 27, 2023 updates change from daily to weekly.

Summary The cumulative number of positive COVID-19 cases among Maryland residents by gender: Female; Male; Unknown.

Description The MD COVID-19 - Cases by Gender Distribution data layer is a collection of positive COVID-19 test results that have been reported each day by the local health department via the ESSENCE system.

Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

This datasets consists of the number of COVID-19 tests conducted at Fulton SPOC sites between March and September of 2020. The numbers represent a lower estimate because zip code was not provided in all cases and sites operated by CORE only began collecting address information (including zip code) in July.

This dataset contains contact information for Wildlife Rehabilitators as well as the type of animals they handle. These rehabilitators are licensed by the New York State Department of Environmental Conservation (DEC) Bureau of Fish and Wildlife Services.

This dataset is the monthly, aggreagated summary of the three licence types for Vehicle for Hire (Dispatching, Drivers and Vehicles) as well as the summary of the Inspections conducted that month and any outcomes from those investigations.

This data set consists of the current population at each Fulton County jail facility updated daily. The population numbers are extracted from the Comprehensive Justice Information System (CJIS). Because bookings and releases are not always entered into the CJIS immediately, especially during busy periods, the population numbers in this data set may vary by small amounts from the actual population at any given time.

This dataset documents Group B arrests for crimes reported by the City of Clarkston Police Department to NIBRS (National Incident-Based Reporting System).

Active Animal Licenses (Cat, Dog & Service Animal) Issue/Renewal timeframe: 10/28/2020

• 12/02/2024

This data set contains a summary of cats, cows, dogs, ferrets, rabbits, and unknown animals in Cook County

This dataset contains retention, transfer, and turnover rates for full-time staff. In addition, this file provides one through five year rates for each mobility category. Data is aggregated at the state, district, and school level.

This was one single topic among many as part of the August 2015 Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=476&as=Hp0xa33UD7&t=1. Open from August 10 - 18, 2015. At the time the survey was launched survey invitations were sent to 3275 Insight Community Members. 1329 members completed the survey which represents a completion rate of 41%. A total of 1442 respondents completed the survey: 1329 Insight Community Members and 113 using the anonymous link which will have no demographic info.

The Equine Death and Breakdown report lists horses that have broken down, been injured, or have died at New York State race tracks.

Starting in late 2008, the Animal Control Administrator submits a report to the County Board showing data such as the number of adoptions done each month or how many calls the administrator is called out on. This dataset includes links to copies of the pdf reports the Animal Control administrator submits to the Board. The previous month's data is provided in each month's report submitted to the Board.

Total number of incidents responded to by the Fire District; data is categorized by the four main types of incidents (fires, medical incidents, traffic collisions, and hazardous materials incidents) and includes location/geospatial information for where each incident occurred.

The City of Albany has created a comprehensive map of all resources provided in the city. The information presented through openAlbany is based on data provided by Program Providers. This table provides the Provider Name, Program Name, Type of Program, Age of child, Start and End Date, Start and End Time, Cost, Lunch Program, Transportation Provided, Phone Number and a link to the provider’s website. This map can be filtered by Provider Name, Type of Program, Age, Cost, etc., and can be downloaded. Blue icons represent all programs provided by the City of Albany Department of Recreation, Purple icons represent locations that provide Free Summer Meals while Orange icons represent every other program providers in the City. Please note that this data is subject to change; data is likely to show changes as we received more information from program providers or community organizations. Click here to have your program added to the map: https://bit.ly/2ZMMGCl

Data from 2019 through 2023. For years after 2023, see: https://data.bts.gov/Research-and-Statistics/Docked-Bikeshare-Ridership/6cfa-ipzd

Historic data updated on 07/14/2023. Q4 of 2023 and data for all years on systems allowing parking outside of a docking station updated on 06/04/2024.

Bikeshare ridership by system, year, month, and hour the trip ended at for bikeshare systems with docking stations. Data available by month starting in January 2019. Months are rearranged to include the same number of days of the week across years (see below). Data designed to show the impacts of COVID-19 on bikeshare ridership as featured at https://maps.dot.gov/BTS/dockedbikeshare-COVID/

Ridership data not available for all docked bikeshare systems. Only docked bikeshare systems with ridership data shown. Some systems included in the data permit users to leave a bicycle outside of a docking station; these trips are indicated by the trip type. Trips defined as rides from point A to B. If user makes trip from B to A on same day, counted as a second trip. Trips labeled as round trips in Metro Bike Share and Indego trip files counted as 2 trips. Trips with no trip time are not counted. For trips starting and ending at a docking station or on systems where only docked trips are permitted, trips with no start station identifier and/or end station id are not counted in totals. Trips shorter than 1 minute or greater than 2 hours excluded. Days aligned to include the same days of weeks in 2019 and 2020. Days included in each month are as follows:

Days included in each month can be found in the attachment (https://data.bts.gov/api/views/6cfa-ipzd/files/36fde1b8-57c3-4d31-b9dc-bbc896ba346e?download=true&filename=days_included_in_docked_bikeshare_monthly_summaries.xlsx). Data are through 2023. For hourly data by calendar year and for hourly data in years after 2023, see https://data.bts.gov/Research-and-Statistics/Docked-Bikeshare-Ridership/6cfa-ipzd

Trips beginning on 12/31/2019 but ending on 01/01/2020 not included in totals.

Interactive map application featuring data: https://maps.dot.gov/BTS/dockedbikeshare-COVID/

About the Dataset This data set contains claims information for meal reimbursement for CACFP participating as Adult Day Care centers for program year 2018-2019. The CACFP program year begins October 1 and ends September 30.

This dataset only includes claims submitted by CACFP sites participating as Adult Day Care centers. Sites can participate in multiple CACFP sub-programs. For reimbursement data on CACFP participants operating as Day Care Homes, Child Care Centers, At-Risk Child Care Centers, Head Start Centers, emergency shelters, or centers providing care for students outside school hours, please refer to the corresponding “Child and Adult Care Food Programs (CACFP) – Meal Reimbursement” dataset for that sub-program available on the State of Texas Open Data Portal.

An overview of all CACFP data available on the Texas Open Data Portal can be found at our TDA Data Overview - Child and Adult Care Food Programs page.

An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page.

More information about accessing and working with TDA data on the Texas Open Data Portal can be found on the SquareMeals.org website on the TDA Food and Nutrition Open Data page.

About Dataset Updates TDA aims to post new program year data by December 15 of the active program year. Participants have 60 days to file monthly reimbursement claims. Dataset updates will occur monthly until 90 days after the close of the program year. After 90 days from the close of the program year, the dataset will be updated at six months and one year from the close of program year before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Program (CACFP), and summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs and the Child and Adult Care Food Program (CACFP). TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

About the Dataset This data set contains claims information for meal reimbursement for CACFP participating as Adult Day Care centers for program year 2015-2016. The CACFP program year begins October 1 and ends September 30.

This dataset only includes claims submitted by CACFP sites participating as Adult Day Care centers. Sites can participate in multiple CACFP sub-programs. For reimbursement data on CACFP participants operating as Day Care Homes, Child Care Centers, At-Risk Child Care Centers, Head Start Centers, emergency shelters, or centers providing care for students outside school hours, please refer to the corresponding “Child and Adult Care Food Programs (CACFP) – Meal Reimbursement” dataset for that sub-program available on the State of Texas Open Data Portal.

About Dataset Updates TDA aims to post new program year data by December 15 of the active program year. Participants have 60 days to file monthly reimbursement claims. Dataset updates will occur monthly until 90 days after the close of the program year. After 90 days from the close of the program year, the dataset will be updated at six months and one year from the close of program year before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs and the Child and Adult Care Food Program (CACFP). TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

A detailed list of TDA Food and Nutrition datasets and data fields available on the Texas Open Data Portal can be downloaded as a PDF here.

About the Dataset This data set contains claims information for meal reimbursement for CACFP participating as Adult Day Care centers for program year 2017-2018. The CACFP program year begins October 1 and ends September 30.

This dataset only includes claims submitted by CACFP sites participating as Adult Day Care centers. Sites can participate in multiple CACFP sub-programs. For reimbursement data on CACFP participants operating as Day Care Homes, Child Care Centers, At-Risk Child Care Centers, Head Start Centers, emergency shelters, or centers providing care for students outside school hours, please refer to the corresponding “Child and Adult Care Food Programs (CACFP) – Meal Reimbursement” dataset for that sub-program available on the State of Texas Open Data Portal.

An overview of all CACFP data available on the Texas Open Data Portal can be found at our TDA Data Overview - Child and Adult Care Food Programs page.

An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page.

About Dataset Updates TDA aims to post new program year data by December 15 of the active program year. Participants have 60 days to file monthly reimbursement claims. Dataset updates will occur monthly until 90 days after the close of the program year. After 90 days from the close of the program year, the dataset will be updated at six months and one year from the close of program year before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs and the Child and Adult Care Food Program (CACFP). TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

About the Dataset This data set contains claims information for meal reimbursement for CACFP participating as Adult Day Care centers for program year 2016-2017. The CACFP program year begins October 1 and ends September 30.

This dataset only includes claims submitted by CACFP sites participating as Adult Day Care centers. Sites can participate in multiple CACFP sub-programs. For reimbursement data on CACFP participants operating as Day Care Homes, Child Care Centers, At-Risk Child Care Centers, Head Start Centers, emergency shelters, or centers providing care for students outside school hours, please refer to the corresponding “Child and Adult Care Food Programs (CACFP) – Meal Reimbursement” dataset for that sub-program available on the State of Texas Open Data Portal.

About Dataset Updates TDA aims to post new program year data by December 15 of the active program year. Participants have 60 days to file monthly reimbursement claims. Dataset updates will occur monthly until 90 days after the close of the program year. After 90 days from the close of the program year, the dataset will be updated at six months and one year from the close of program year before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

Historic data updated on 07/14/2023. Q4 of 2023 and data for all years on systems allowing parking outside of a docking station updated on 06/04/2024.

Bikeshare ridership by system, year, month, and day for bikeshare systems with docking stations. Data available by month starting in January 2019. Months are rearranged to include the same number of days of the week across years (see below). Data designed to show the impacts of COVID-19 on bikeshare ridership as featured at https://maps.dot.gov/BTS/dockedbikeshare-COVID/

Ridership data not available for all docked bikeshare systems. Only docked bikeshare systems with ridership data shown. Some systems included in the data permit users to leave a bicycle outside of a docking station; these trips are not counted. Trips defined as rides from point A to B. If user makes trip from B to A on same day, counted as a second trip. Trips labeled as round trips in Metro Bike Share and Indego trip files counted as 2 trips. Trips with no trip time are not counted. Trips with no start station identifier and/or end station id are not counted in totals. Trips shorter than 1 minute or greater than 2 hours excluded. Days aligned to include the same days of weeks in 2019 and 2020. Days included in each month are as follows:

Assigned month can be found in the attachments (https://data.bts.gov/api/views/6cfa-ipzd/files/36fde1b8-57c3-4d31-b9dc-bbc896ba346e?download=true&filename=days_included_in_docked_bikeshare_monthly_summaries.xlsx)

Trips beginning on 12/31/2019 but ending on 01/01/2020 not included in totals.

Interactive map application featuring data: https://maps.dot.gov/BTS/dockedbikeshare-COVID/

Summary of the City of Corona's Fire Department emergency medial services (EMS) response time. Data is pulled directly from the Fire Department record management system. This system is updated real-time by dispatch and file personnel in the field. Update Frequency: Daily Data Disclaimer: The City Of Corona (“Corona”) provides data available on this website as a service to the public. The data provided by Corona is based on historical data, information directly provided by Corona, information directly provided by Corona contractors and in some cases, information acquired during physical inspections. Corona does not guarantee the accuracy of this data and assumes no liability for any errors. The data shall be used for the sole purpose of providing the public with information regarding this program and not for any commercial, legal or other use. Corona assumes no liability for any decisions made or action taken or not taken by anyone using data provided from this website. Corona reserves the right to alter, amend or terminate at any time the display of this data.

Information from Bloomington Police Department cases where a hate or bias crime has been reported.

Key code for Race:

A- Asian/Pacific Island, Non-Hispanic B- African American, Non-Hispanic C- Hawaiian/Other Pacific Island, Hispanic H- Hawaiian/Other Pacific Island, Non-Hispanic I- Indian/Alaskan Native, Non-Hispanic K- African American, Hispanic L- Caucasian, Hispanic N- Indian/Alaskan Native, Hispanic P- Asian/Pacific Island, Hispanic S- Asian, Non-Hispanic T- Asian, Hispanic U- Unknown W- Caucasian, Non-Hispanic

Key Code for Reading Districts:

Example: LB519

L for Law call or incident B stands for Bloomington 5 is the district or beat where incident occurred All numbers following represents a grid sector.

Disclaimer: The Bloomington Police Department takes great effort in making open data as accurate as possible, but there is no avoiding the introduction of errors in this process, which relies on data provided by many people and that cannot always be verified. Information contained in this dataset may change over a period of time. The Bloomington Police Department is not responsible for any error or omission from this data, or for the use or interpretation of the results of any research conducted.

Details of animals housed at the Edmonton Valley Zoo

Created by Macoupin County Archives volunteers, this index of cases from 1839-sometime in the 1840s.

For a copy of a death certificate, please submit a request to the following Circuit Clerk Research P.O. Box 197 Carlinville, IL 62626

Requests can take 30-60 days to be fulfilled. Costs are 5 dollars.

This dataset provides information about parking citations issued in Norfolk. The dataset includes the date and time the citation was issued, the violation description and status, where the citation was issued, the license plate number of the vehicle, the make and style of the vehicle, and the amount of the parking citation fine. The dataset covers the period of January 1, 2022 to present and will be updated monthly.

Healthy Neighborhoods data for Get Healthy San Mateo County's Healthy Cities SMC: http://www.gethealthysmc.org/healthy-cities-smc

Help us provide the most useful data by completing our ODP User Feedback Survey for School Nutrition Data

About the Dataset This dataset contains claims information for paid or approved to pay meal reimbursement for sites participating in school nutrition programs for program year 2019-2020. The school nutrition program year begins July 1 and ends June 30.

In March 2020, USDA began allowing flexibility in nutrition assistance program policy to support continued meal access should the coronavirus pandemic (COVID-19) impact meal service operation. Sites participating in these flexibilities are indicated in the newly added COVID Meal Site column of this dataset. For more information on the waivers implemented for this purpose, please visit our website at SquareMeals.org.

An overview of all SNP data available on the Texas Open Data Portal can be found at our TDA Data Overview - School Nutrition Programs page.

An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page.

More information about accessing and working with TDA data on the Texas Open Data Portal can be found on the SquareMeals.org website on the TDA Food and Nutrition Open Data page.

About Dataset Updates TDA aims to post new data by November 1 of the active program year. Participants have 60 days to file monthly reimbursement claims. Dataset updates will occur monthly until 90 days after the close of the program year. After 90 days from the close of the program year, the dataset will be updated at six months and at one year from the close of program year before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Program (CACFP), and summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

"This was one single topic among many, from the March 2021 Mixed Topic survey. To view the survey questions, click the following link:

https://www.edmontoninsightcommunity.ca/c/a/6THegmcslzIKlD0hYFxLIy?t=1

Open from March 10-17, 2021.

At the time the survey was launched survey invitations were sent to 13,461 Insight Community Members. 3624 members completed the survey which represents a completion rate of 26.94%. A total of 2101 respondents completed the survey: 3624 Insight Community Members, 2 from the call to action button on our webpage, and 22 using the anonymous link on Edmonton.ca/Surveys which will have no demographic info."

Rate of child abuse and allegations substantiated per 1,000 children . Human Services Agency performance measure 7420P ID 423 and 7420P ID 424.

The Chicago Department of Transportation (CDOT) oversees approximately 250,000 street lights that illuminate arterial and residential streets in Chicago. CDOT performs repairs and bulb replacements in response to residents’ reports of street light outages. Whenever CDOT receives a report from 311’s Customer Service Requests (CSR) system of an “All Out” (an outage of 3 or more lights) the electrician assigned to make the repair looks at all the lights in that circuit (each circuit has 8-16 lights) to make sure that they are all working properly. This metric tracks the average number of days CDOT takes to complete street lights “All Out” requests. Total number of requests fulfilled per week is also available by mousing over columns. The target response time for street light “All Out” repairs is within 4 days. To report a street light outage, call 311 or see http://www.cityofchicago.org/city/en/depts/cdot/provdrs/traffic_signals_andstreetlights/svcs/request_street_lights.html

This Indicator measures the rate of discretionary stops per 1,000 people in Oakland by race/ethnicity. “In 2016 through 2017, officers were required to complete stop data forms after every discretionary detention or arrest, and discretionary encounters in which a search or request to search occurred. Discretionary stops and searches exclude detentions and arrests that occurred as the result of a dispatched call for service, a citizen request, or for stops occurring pursuant to search warrants.” (Source: Oakland Police Department’s 2016- 2017 Stop Data Report)

Priority 1 investigations must have initial contact within 24 hours and Priority 2 within 72 hours.

Completed investigations only include those cases conducted as a traditional investigation that were not administratively closed or merged into another stage. An investigation can only be administratively closed if all allegations have a disposition of administrative closure. A completed investigation can include more than one alleged victim. Completed investigations do not include any Alternative Response cases.

A description of Alternative Response and how it differs from a traditional investigation and priority response times are in the CPS glossary.

Visit dfps.texas.gov for information on all DFPS programs

Monthly Infringement count and value displayed by camera location, penalty, vehicle type and client type. The penalty amount and the infringement count are penalties that occurred within the date described in the offence month.

The dataset provides number of daily and cumulative COVID-19 vaccines administered over time among Santa Clara County residents. Number of people with at least one dose is the number of county residents who either received a vaccine requiring a single dose or received the first dose of a vaccine requiring multiple doses. Source: California Immunization Registry. Data Notes: Data are reported by the date vaccine was administered. Values for the most recent 3 days are likely to increase as additional records are submitted.

The Clean Energy Fund (CEF) Agriculture Audit program identifies energy efficiency measures for eligible farms and on-farm producers, including but not limited to: dairies, orchards, greenhouses, vegetables, vineyards, grain dryers, and poultry/egg. NYSERDA assigns Flexible Technical Assistance (FlexTech) Program Consultants to perform energy audits for eligible farms. Participating farms receive a customized plan with recommended energy efficiency upgrades. The Clean Energy Fund (CEF) Agriculture Audits dataset contains information collected from the audits such as location, electric and natural gas utility provider, and amount of CEF funding awarded to each audit.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, accelerate economic growth, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

Cambridge election results from the March 1, 2016, Presidential Primary. This dataset contains presidential preference and state committee results for the Democratic, Republican, Green-Rainbow, and United Independent party races. It also contains ward committee results for the Democratic and Republican parties. This dataset is not official; for official results, visit the Cambridge Election Commission website at https://www.cambridgema.gov/election.

Fire risk score. Data from 2017 and 2018 combined with parcel data give a fire risk score to non residential addresses in Chattanooga. The fire indicator column shows whether or not a fire actually occurred at this address in 2019.

This dataset contains a monthly record of how many defendants are in jail on Superior Court Criminal cases. It counts each defendant in jail once, using the dataset https://sharefulton.fultoncountyga.gov/Government/Superior-Court-Defendants-in-Jail/raqb-js7j. This data contains the current days count, as well as one datapoint from the last day of each previous month, starting 2019-01-01.

The Port Authority of New York & New Jersey quarterly produces a data file and provides information on monthly passengers Taxi Dispatch counts at John F. Kennedy International Airport, LaGuardia Airport, and Newark Liberty International Airport beginning in 2002. Taxi dispatch counts include only medallion taxis that transport passengers from these airports to a destination.

Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county; geocoding information is currently only available on the state-level.

A Chart showing Cook County Department of Corrections – Closed Cells. A closed cell is unable to house inmates.

This dataset reflects incidents that have been reported to the New Orleans Police Department in 2014. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.

This dataset reflects incidents that have been reported to the New Orleans Police Department in 2013. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.

This dataset reflects incidents that have been reported to the New Orleans Police Department in 2016. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.

This dataset reflects incidents that have been reported to the New Orleans Police Department in 2020. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. Please request 911 audio via our public records request system here: https://nola.nextrequest.com.

In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.

Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.

This dataset reflects incidents that have been reported to the New Orleans Police Department in 2015. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.

These are the congressional district-specific transportation statistics currently contained in the dashboard visible at https://www.bts.dot.gov/congressionaldistricts.

Data are available for all attributes for the 118th Congress (2023-2024).

Stops data from the CARTA GTFS file. Source file can be found on the CARTA website here https://www.gocarta.org/about/developers-center/

Requests received via the City of Auburn online reporting service See, Click, Fix

This dataset contains data from community organizations who received emergency funding from Fulton County via the CARES Act.

Recorded state and municipal offenses from AEGIS records management system of the Providence Police. A single case can contain multiple offenses. Refer to the case number to see all offenses for a particular case. The case number can also be used to look up arrest activity for a case in the Providence Police Arrest Log.
UPDATE: Incident location is now using block range instead of house numbers. Addresses between 1 and 99 will be 0 Block, addresses between 100 and 199 will use 100 block and so on. If you are looking for actual addresses you can use the city's Open Records Portal to make a request. To help maintain the anonymity of special victims and juveniles this list does not include violent sexual offenses, non-violent sexual offenses or incidents of harassment. Cases being investigated by the department's Special Victims Unit (SVU) or Youth Services Bureau (YSB) will not be published.

The data included here is the information in the NYS Attorney Registration Database that is deemed public information pursuant to 22 NYCRR 118.

There were 22,023 delinquency dispositions in Pennsylvania during 2018. This represents a 1.3% decrease from 2017 and a 13.4% decrease since 2014. Allegheny County reported a decrease of 17.0% from 2017 to 2018, and Philadelphia County reported a 5.9% decrease for this time period. One-third of the total dispositions occurred in the four jurisdictions reporting more than 1,000 dispositions; these jurisdictions include Philadelphia, Allegheny, York, and Delaware. This dataset is contained within the Juvenile Court Judges' Commissions 2018 Juvenile Court Annual Report; this report provides an overview of Pennsylvania juvenile court statistics, during 2018 and preceding years, to measure and quantify work across the state by juvenile justice professionals.
In Pennsylvania, juvenile court jurisdiction extends over individuals who have been alleged to have committed a delinquent act, as defined by 42. Pa. C. S. § 6301 et seq., on or after their tenth birthday and prior to reaching eighteen years of age. Juvenile court supervision can extend until the individual is twenty-one years of age if the individual is currently under supervision. Age for purposes of this section was calculated from the juvenile’s date of birth to the date of the offense in the written allegation.

Includes data for ACS variables B28002_013E (households with no internet access), S0101_C01_028E (population over 60 years old), and S1701_C02_001E (population below poverty level).

This dataset is intended as an example.

The Washington State Department of Health presents this information as a service to the public. True and correct copies of legal disciplinary actions taken after July 1998 are available on our Provider Credential Search site. These records are considered certified by the Department of Health.

This includes information on health care providers.

Please contact our Customer Service Center at 360-236-4700 for information about actions before July 1998. The information on this site comes directly from our database and is updated daily at 10:00 a.m.. This data is a primary source for verification of credentials and is extracted from the primary database at 2:00 a.m. daily.

News releases about disciplinary actions taken against Washington State healthcare providers, agencies or facilities are on the agency's Newsroom webpage.

Disclaimer The absence of information in the Provider Credential Search system doesn't imply any recommendation, endorsement or guarantee of competence of any healthcare professional. The presence of information in this system doesn't imply a provider isn't competent or qualified to practice. The reader is encouraged to carefully evaluate any information found in this data set.

As described in https://data.cityofchicago.org/stories/s/311-Dataset-Changes-12-11-2018/d7nq-5g7t, the function of this dataset was replaced by https://data.cityofchicago.org/d/v6vf-nfxy. This dataset is historical-only.

This dataset contains all open 311 reports of one or more lights out on a wooden pole in the alley and all completed requests since January 1, 2011. If two requests regarding the same address are made within 30 calendar days of each other, the newest CSR is automatically given the status of “Duplicate (Open)”. Once the alley light is repaired, the CSR status will read “Completed” for the original request and “Duplicate (Closed)” for any duplicate requests. Data is updated daily.

Survivors can discuss animal safety while meeting with an advocate at the CJFJC

The disposition data presented in this report reflects the culmination of the fact-finding process that leads to the resolution of a case. Included in this data set are the defendant counts by disposition, their associated offense type, and year.

The disposition data presented in this report reflects the culmination of the fact-finding process that leads to the resolution of a case. Included in this data set are the defendant counts by age and disposition, their associated offense type, and year.

This data set consists of hourly updates of the total population in Fulton County jail facilities. The population numbers are extracted from the Comprehensive Justice Information System (CJIS). Because new bookings are not always entered into the CJIS immediately, especially during busy periods, the population numbers in this data set may vary by small amounts from the actual population at any given time.

5-year estimates from the American Community Survey

1-year estimates from the American Community Survey

This was the July 2020 Mixed Topic survey. Test link to view these questions:

https://www.edmontoninsightcommunity.ca/c/a/6adRlA0lB4q1SZeGaPn6ns?t=1rEFID2vM8?t=1

Open from July 14-21, 2020.

At the time the survey was launched survey invitations were sent to 12,131 Insight Community Members. 3811 members completed the survey which represents a completion rate of 31.42%. A total of 6005 respondents completed the survey: 3811 Insight Community Members, 790 from the call to action button on our webpage, and 1404 using the anonymous link on Edmonton.ca/Surveys which will have no demographic info.

The Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs’ departments. DCJS compiles these reports as New York’s official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Firearm counts are derived from taking the number of violent crimes which involve a firearm. Population data are provided every year by the FBI, based on US Census information. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred. DCJS posts preliminary data in the spring and final data in the fall.

Officers engaged in police pursuits must continually balance the safety of the public and themselves against law enforcement's duty to apprehend law violators. Officers must discontinue a pursuit whenever circumstances indicate that continuation of the pursuit would be unsafe or when life or property is endangered.

This dataset shows vehicle pursuit data provided to the California Highway Patrol.

1-year estimates from the American Community Survey

The City of Janesville's Fire Department activities reported each month. Activities include incidents, inspections, transfers, and mutual aid statistics.

These data are for the the FBI Uniform Crime Reporting (UCR) index. The crime index includes Willful Homicide, Rape, Robbery, Aggravated Assault, Burglary, Larceny (Theft), Motor Vehicle Theft, and Arson (definitions are in each column header).

State-wide crime information can be found at the Colorado Bureau of Investigation (https://www.colorado.gov/cbi).

This was one single topic among many as part of the October 2015 Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=558&as=o7np0xc2YJ&t=1. Open from October 13 - 21, 2015. At the time the survey was launched survey invitations were sent to 3857 Insight Community Members. 1435 members completed the survey which represents a completion rate of 37%. A total of 1494 respondents completed the survey: 1435 Insight Community Members and 59 using the anonymous link which will have no demographic info.

The Development Log provides an record of large-scale development projects occurring in the City of Cambridge. The Log, updated on a quarterly basis, is distributed to City departments and the public to keep them posted about development progress, from permitting through construction to completion. The Historical Projects table include information about projects completed through 2023. The table includes general project information, such as development status and statistics related to the entire project. Limited information is available projects completed prior to 2011.

Since a project may include more than one use, data on each specific use found within a project is found in the associated Project Use table found here: https://data.cambridgema.gov/Planning/Development-Log-Historical-Projects-Use-Data/r5mv-isth.

This dataset provides historical booking information for City of Edmonton Recreation Centres, school gymnasia, and outdoor sportsfields.

The DFS ranks automobile insurance companies doing business in New York State based on the number of consumer complaints upheld against them as a percentage of their total business over a two-year period. Complaints typically involve issues like delays in the payment of no-fault claims and nonrenewal of policies. Insurers with the fewest upheld complaints per million dollars of premiums appear at the top of the list. Those with the highest complaint ratios are ranked at the bottom.

VITAL SIGNS INDICATOR Time Spent In Congestion (T7)

FULL MEASURE NAME Congested delay on regional freeways

LAST UPDATED May 2017

DESCRIPTION Time spent in traffic congestion – also known as congested delay – refers to the number of minutes weekday travelers spend in congested conditions in which freeway speeds drop below 35 mph. Total delay, a companion measure, includes both congested delay and all other delay in which speeds are below the posted speed limit.

DATA SOURCE Metropolitan Transportation Commission/Iteris: Congested Corridor Analysis

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) Delay statistics only include freeway facilities and rely upon INRIX traffic data. They reflect delay on a typical weekday, which is defined as Tuesday through Thursday during peak traffic months. Delay statistics emphasize recurring delay - i.e. consistent delay greater than 15 minutes on a specific freeway segment. Congested delay is defined as congestion occurring with speeds less than 35 mph and is commonly recognized as inefficient delay (meaning that the freeway corridor is operating at speeds low enough to reduce throughput - as opposed to speeds greater than 35 mph which increase throughput). Data sources listed above were used to calculate per-capita and per-worker statistics; national datasets were used for metro comparisons and California datasets were used for the Bay Area. Top congested corridors are ranked by total vehicle hours of delay, meaning that the highlighted corridors reflect a combination of slow speeds and heavy traffic volumes. Historical Bay Area data was estimated by MTC Operations staff using a combination of internal datasets to develop an approximate trend back to 1998. The metropolitan area comparison was performed for the combined primary urbanized areas (San Francisco-Oakland and San Jose) as well as nine other major metropolitan areas' core urbanized area. Because the Texas Transportation Institute no longer reports congested freeway delay or total freeway delay (focusing solely on total regional delay), 2011 data was used to estimate 2014 total freeway delay for each metro area by relying upon the freeway-to-regional ratio from 2011. Estimated urbanized area workers were used for this analysis using the 2011 ratios, which accounts for slight differentials between Bay Area data points under the regional historical data and the metro comparison analysis. To explore how 2016 congestion trends compare to real-time congestion on the region’s freeways, visit 511.org.

Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.

To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates (https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.

We estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS) (https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates at the Public Use Microdata Areas (PUMA) level using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). To create county-level estimates, we used a PUMA-to-county crosswalk from the Missouri Census Data Center(https://mcdc.missouri.edu/applications/geocorr2014.html). PUMAs spanning multiple counties had their estimates apportioned across those counties based on overall 2010 Census populations.

The HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31..

PUMA COVID-19 Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-Public-Use-Microdat/djj9-kh3p

Daily COVID-19 reports from Johns Hopkins University Center for Systems Science and Engineering. This dataset is generated by calculating differences of each cumulative daily report from the previous day to identify daily changes in the number of confirmed, active, recovered, and fatal cases.

This dataset reports from after CSSE changed its daily report schema on March 22.

Reports of City of Bloomington employees with positive COVID-19 viral test results by department since March 28, 2020. The dataset also includes results from the municipal corporations of the Bloomington Housing Authority, Bloomington Transit, and the City of Bloomington Utilities. Note that results listed as "City Hall" include results from multiple departments whose employees work only at City Hall. These include: Community and Family Resources, Controller, Economic and Sustainable Development, Housing and Neighborhood Development, Human Resources, Information and Technology Services, Mayor's Office, Parks administration, and Public Works administration.

The Richmond Police Department is committed to protecting people, their property and rights, while providing the best in public safety and service.

This dataset shows use of force incidents that involved members of the Police Department and civilians. Use of Force Reports may have multiple officers associated with a single incident.

Ratio: Percent of Local Health Departments

Definition: Local health departments that achieve voluntary national accreditation.

Data Source:

1) Office of Local Public Health, New Jersey Department of Health

2) Public Health Accreditation Board

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Program (CACFP), and summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

A detailed list of TDA Food and Nutrition datasets and data fields available on the Texas Open Data Portal can found at the TDA Open Data Overview page.

About the Dataset This dataset contains claims information for paid or approved to pay meal reimbursement for sites participating in school nutrition programs for program year 2018-2019. The school nutrition program year begins July 1 and ends June 30.

An overview of all SNP data available on the Texas Open Data Portal can be found at our TDA Data Overview - School Nutrition Programs page.

An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page.

About Dataset Updates TDA aims to post new data by November 1 of the active program year. Participants have 60 days to file monthly reimbursement claims. Dataset updates will occur monthly until 90 days after the close of the program year. After 90 days from the close of the program year, the dataset will be updated at six months and at one year from the close of program year before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs and the Child and Adult Care Food Program (CACFP). TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

About the Dataset This data set contains claims information for meal reimbursement for sites participating in school nutrition programs for program year 2016-2017. The school nutrition program year begins July 1 and ends June 30.

About Dataset Updates TDA aims to post new data by November 1 of the active program year. Participants have 60 days to file monthly reimbursement claims. Dataset updates will occur monthly until 90 days after the close of the program year. After 90 days from the close of the program year, the dataset will be updated at six months and at one year from the close of program year before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs and the Child and Adult Care Food Program (CACFP). TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

About the Dataset This data set contains claims information for meal reimbursement for sites participating in school nutrition programs for program year 2015-2016. The school nutrition program year begins July 1 and ends June 30. About Dataset Updates

TDA aims to post new data by November 1 of the active program year. Participants have 60 days to file monthly reimbursement claims. Dataset updates will occur monthly until 90 days after the close of the program year. After 90 days from the close of the program year, the dataset will be updated at six months and at one year from the close of program year before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs and the Child and Adult Care Food Program (CACFP). TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

About the Dataset This data set contains claims information for meal reimbursement for sites participating in school nutrition programs for program year 2017-2018. The school nutrition program year begins July 1 and ends June 30. About Dataset Updates TDA aims to post new data by November 1 of the active program year. Participants have 60 days to file monthly reimbursement claims. Dataset updates will occur monthly until 90 days after the close of the program year. After 90 days from the close of the program year, the dataset will be updated at six months and at one year from the close of program year before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

Non-emergency requests like pothole repairs or damaged street signs can be reported through the Web: www.myGNV.org or app.

iPhone Users: https://apps.apple.com/us/app/mygnv/id1011272233 Android Users: https://play.google.com/store/apps/details?id=com.citysourced.gainesvillefl or online (http://www.cityofgainesville.org/openGNV/311GNV.aspx). ***Disclaimer: The data reflected on this page is through 06/18/2021. We have updated our MyGNV app. We are working to get the data uploaded from the new platform. We appreciate your patience

The sentencing data presented in this report reflects the judgement imposed by the court on people that have been found guilty. The data is recorded by count, meaning by each individual cause of action, and each count receives a sentence. Included in this data set are the defendant counts by sentence and year.

Help us provide the most useful data by completing our ODP User Feedback Survey for School Nutrition Data

About the Dataset This dataset contains claims information for paid or approved to pay meal reimbursement for sites participating in school nutrition programs for program year 2020-2021. The school nutrition program year begins July 1 and ends June 30.

In October 1, 2020, USDA began allowing flexibility in School Nutrition Program policy to support continued meal access should the coronavirus pandemic (COVID-19) impact meal service operation. For more information on the waivers implemented for this purpose, please visit our website at SquareMeals.org.

An overview of all SNP data available on the Texas Open Data Portal can be found at our TDA Data Overview - School Nutrition Programs page.

An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page.

More information about accessing and working with TDA data on the Texas Open Data Portal can be found on the SquareMeals.org website on the TDA Food and Nutrition Open Data page.

About Dataset Updates TDA aims to post new data by November 1 of the active program year. Participants have 60 days to file monthly reimbursement claims. Dataset updates will occur monthly until 90 days after the close of the program year. After 90 days from the close of the program year, the dataset will be updated at six months and at one year from the close of program year before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Program (CACFP), and summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

March 2020 - Present. An overview by locality of total cases, total hospitalizations and total deaths for the Commonwealth of Virginia. Updated daily at 12:00 p.m.

From data.virginia.gov: "This data set includes the cumulative (total) number of COVID-19 cases, hospitalizations, and deaths for each locality in Virginia by report date. This data set was first published on April 01, 2020. The data set increases in size daily and as a result, the dataset may take longer to update; however, it is expected to be available by 12:00 noon daily. When you download the data set, the dates will be sorted in ascending order, meaning that the earliest date will be at the top. To see data for the most recent date, please scroll down to the bottom of the data set. The Virginia Department of Health’s Thomas Jefferson Health District (TJHD) will be renamed to Blue Ridge Health District (BRHD), effective January 2021. More information about this change can be found here: https://www.vdh.virginia.gov/blue-ridge/name-change/"

This dataset shows information about each traffic crash since 2011 on city streets within the City of Gainesville limits and under the jurisdiction of Gainesville Police Department (GPD). Data shown are more than 60 days from when accidents occurred due to Florida Statutes 316.066.

Disclaimer: In 2021, Florida reporting of crime data began a transition from Summary Reporting System (SRS) to National Incident-Based Reporting System (NIBRS), causing an effect on crime statistics reported by Law Enforcement Agencies such as the Gainesville Police Department who made this transition on November 16, 2021. The effect would be an increase in crime due to the elimination of the SRS Hierarchy Rule which collected only the most serious offense in an incident while NIBRS will now capture up to 10 offenses per incident and specifies more offense categories than SRS. The inclusion of these crimes, particularly property crimes, will reflect an increase in crime when switching from SRS reporting to NIBRS' reporting. The apparent increase (usually not greater than 2.7%) is simply due to the difference between how crimes are counted in NIBRS versus the SRS and its application of the Hierarchy Rule. More information regarding NIBRS effect on crime statistics can be found on the following link: https://ucr.fbi.gov/nibrs/2014/resource-pages/effects_of_nibrs_on_crime_statistics_final.pdf.

Data includes tobacco tax violations between September 2011 and March 2012.

The data set will list every call the WFPS has responded to between 2015 to present, which units responded, whether it was a medical emergency or fire/rescue call, when the incident resolved, whether it involved a vehicular collision, and which neighbourhood and electoral ward it took place in. The data is based on the calls received, which may not necessitate a unit being sent as additional information is provided.

The units can be broken down as follows:

Medical - DC: District Chief EPIC: Emergency Paramedics in the Community Unit MIRV: Major Incident Response Unit PACE: Non Motorized Unit PTRS: Special Assignment Unit ##: Ambulance Unit

Fire Rescue - ATV: Special Rescue BN: Special Rescue CV: Special Rescue D: District Chief DCT: Special Rescue E: Engine/Pumper FI: Fire Investigator GA: Gator GEN: Special Rescue HM: Hazmat L: Ladder P: Platoon Chief R: Rescue RU: Special Rescue S: Platoon Safety Officer SN: Special Rescue SQ: Squad T: Special Rescue TC: Special Rescue W: Water Rescue WERU: Special Rescue WL: Special Rescue

The docket management system is a database of cases that have been referred to OHMS for public hearings or other action by an administrative law judge and a decision by the Commissioner of the New York State Department of Environmental Conservation. The docket contains cases that were open on or after January 1, 2005.

The Division of Criminal Justice Services (DCJS) collects personnel statistics from more than 500 New York State police and sheriffs’ departments. In New York State, law enforcement agencies use the Uniform Crime Reporting (UCR) system to report their annual personnel counts to DCJS.

CAD Events - including calls for service, traffic stops, and pedestrian stops - reported by the Richmond Police Department. Date and times are reported as PST.

This dataset contains the list of all Department of Motor Vehicle, (DMV), offices in NYS, with addresses, office hours, latitude and longitude coordinates, and phone numbers.

NNDSS - TABLE 1MM. Viral hemorrhagic fevers, Crimean-Congo hemorrhagic fever virus to Guanarito virus – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes: U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks.

• Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). § Prior to 2015, CDC's National Notifiable Diseases Surveillance System (NNDSS) did not receive electronic data about incident cases of specific viral hemorrhagic fevers; instead data were collected in aggregate as "viral hemorrhagic fevers". NNDSS was updated beginning in 2015 to receive data for each of the viral hemorrhagic fevers listed.

This data is for materials pulled to fulfill patron holds. Chicago Public Library consists of the Harold Washington Library Center, Sulzer, Legler and Woodson regional libraries and over 70 neighborhood branches. Many locations experience sporadic closures to perform facilities upgrade or emergency closures due to heating or air conditioning issues, or area power outages. Independence, Little Italy (formerly Roosevelt) and Northtown reopened in early 2019 in new locations. The library also opened its 81st location, West Loop, in January. Douglass and Jefferson Park were closed for extensive renovations for most of the year. Legler, South Shore and Merlo were also closed for extensive renovations and will remain closed until 2020. In response to the evolving COVID-19 pandemic, the Chicago Public Library closed facilities to the public March 21, 2020 – June 7, 2020.

Patrons may place holds on desired materials either online or by contacting any CPL location. Chicago Public Library consists of the Harold Washington Library Center, Sulzer, Legler and Woodson regional libraries and over 70 neighborhood branches. Many locations experience sporadic closures to perform facilities upgrade or emergency closures due to heating or air conditioning issues, or area power outages. Independence, Little Italy (formerly Roosevelt) and Northtown reopened in early 2019 in new locations. The library also opened its 81st location, West Loop, in January. Douglass and Jefferson Park were closed for extensive renovations for most of the year. Legler, South Shore and Merlo were also closed for extensive renovations and will remain closed until 2020. In response to the evolving COVID-19 pandemic, the Chicago Public Library closed facilities to the public March 21, 2020 – June 7, 2020.

Animal Control Facilities Licensed for FY 2017

A breakdown of registered animals by gender and breed for part of Fiscal Year 2011. Data last updated September 23, 2011.

Visibility and cloud ceiling forecasts are critical for aircraft safety and efficient operations. When visibility or cloud ceilings are low, pilots rely on instruments to navigate instead of visual reconnaissance. The Federal Aviation Administration establishes Instrument Flight Rule (IFR) thresholds—visibility less than three statute miles and/or cloud ceilings at, or below, 1000 feet—for safety. NWS assesses the quality of IFR threshold forecasts in response to these requirements. Fundamental statistical metrics, specifically Probability of Detection (POD) and False Alarm Ratio (FAR), are used to track IFR forecast performance. Probability of Detection (POD), also known as Accuracy, is a ratio that describes the number of times IFR is correctly forecasted compared to the total number of IFR occurrences. FAR is a ratio that describes the number of IFR forecasts when IFR was not observed compared to the total number of forecast attempts. These two metrics must always be used in conjunction, as one can be improved at the expense of the other. Greater accuracy and a minimized FAR result in safer flights and fewer flight delays; conversely, poorer accuracy and an increased FAR result in a greater incidence of unnecessary flight delays.

From the Department of Administrative Hearing, a dataset on the top 5 Animal Control Violations by ordinance.

Block group data from the 2019 - 2023 American Community Survey was aggregated by the Cambridge Community Development Department to generate neighborhood-level statistics. Categories include: Total Population, Language Spoken at Home by Population 5 and Older, Educational Attainment by Population 25 and Older, Means of Commute for Resident Workers Above 16, Vehicles Owned by Household, Per Capita Income, and Poverty Rates.

This dataset represents the centre points of each Zone or Operational Area where Photo Enforcement was historically "scheduled" to be conducted. An enforcement unit can be found anywhere along the area of the Zone. An enforcement unit may not be able to operate at the specified zone and subsequently move to a zone that is not scheduled for enforcement. The centre points are extracted for mapping purposes only and are not intended to imply or suggest that is where the Photo Enforcement is being conducted. Designated Zones are continuously reviewed, revised, added, removed and otherwise updated in accordance to the guidelines for establishing a Zone for photo enforcement. Automated enforcement is expected to be operating at the locations indicated. Please be advised that automated enforcement may be used at other locations within Edmonton as well. Locations selected for enforcement may be removed or added as determined by weather, road conditions, roadway closures or construction, equipment issues or other unforeseen circumstances.

Each enforcement site has one or more reasons for why enforcement is taking place. The list of reasons are:

a) Areas or intersections where conventional enforcement is unsafe or ineffective; b) Areas or intersections with an identifiable, documented history of collisions; c) Areas or intersections with an identifiable, documented history of speeding problems; d) Intersections with an identifiable, documented history of offences; e) Intersections near schools, post-secondary institutions, or other areas with high pedestrian volumes; f) School and playground zones or areas; g) Construction zones; or h) Areas where the public or a community has expressed concerns related to speeding.

Please refer to the FAQ the City has available in regards to Photo Enforcement: https://www.edmonton.ca/enforcement.

The database was constructed from using the source “Sapphire Emar”. The raw data was condensed to remove any duplicate data that expressed the following: data rows with the same inmate name who had multiple of the same medications or multiple of the same medication type. Then the data sets were sorted by admission dates. Then grouped by quarters or years or both. After that, data was sorted by various descriptor columns: Age Range, Ethnicity, Gender and Drug type. What is the story the data is telling? The data shows a significantly higher admission rate for Caucasians and Males. The data also shows the age range of 30-34 consistently has the highest percent admission rate. The data also shows a high percentage of inmates receive Vivitrol/Revia as opposed to Suboxone. What to realize about this data? Although Males and Caucasians have a higher admission rate it is worth noting that this does not take into the account of how many inmates based on gender or ethnicity there are/were in the DOC at a given time. Regardless of Year the Inmate age peaks at 30-34 suggesting they are the most likely to seek treatment.

The data includes the number of animals received, adopted, returned to owners, and sent to rescue.

SE PRESENTA A LA CIUDADANÍA EL ESTADO (ABIERTO O CERRADO) DE LAS PLANTAS DE BENEFICIO ANIMAL INSCRITAS ANTE EL INVIMA EN EL TERRITORIO NACIONAL COLOMBIANO.

2018 Animal Control Facility

Complaints received by the Civilian Office of Police Accountability and its predecessor agency.

A case will generate multiple rows, sharing the same LOG_NO if there are multiple officers. Each row in this dataset is an officer in a specific case.

Other than identifying the Log Number associated with an investigation being conducted by the Bureau of Internal Affairs section of the Chicago Police Department, information regarding such investigations is not included in this data set.

Complaints received by the Civilian Office of Police Accountability and its predecessor agency.

A case will generate multiple rows, sharing the same LOG_NO if there are multiple complainants or subjects. Each row in this dataset is a complainant or subject in a specific case.

Other than identifying the Log Number associated with an investigation being conducted by the Bureau of Internal Affairs section of the Chicago Police Department, information regarding such investigations is not included in this data set.

Dataset highlighting traffic citations issued Albany PD Officers for the past year to date geocoded by Neighborhood. It is the same data as Patrol Zone and Beat

The Department of Taxation and Finance administers the statewide New York State general retail sales and compensating use tax, as well as any general retail sales and compensating use tax imposed by a county or municipality in New York State. In addition, the Department administers any taxes imposed on consumer utilities services and other special taxes on selected commodities and services by municipalities and city school districts. This data set presents information on the yearly amount of the distribution of these taxes back to the appropriate taxing jurisdictions from fiscal years ended March 31, 1995.

Adults age 65 or older are automatically eligible for APS services based on their age. An adult age 18 to 64 old must be substantially impaired to be eligible for APS services.

Substantial impairment is defined as: "When a disability grossly and chronically diminishes an adult’s physical or mental ability to live independently or provide self-care as determined through observation, diagnosis, evaluation, or assessment." (Texas Human Resources Code §48.002(a)(8); 40 Texas Administrative Code §705.1001)

Assessment of a mental, physical, or developmental disability as indicated by one of the following: • A medical condition • Professional diagnosis • Reported or observed behavior that is consistent with such a diagnosis. The disability must cause a long-lasting and considerable inability to live independently or provide self-care.

The population totals do not match prior DFPS Data Books, printed or online. Past population estimates are adjusted based on the U.S. Census data as it becomes available. This is important to keep the data in line with current best practices, but will cause some past counts, such as Abuse/Neglect Victims per 1,000 Texas Children, to be recalculated.

Population Data Source - Population Estimates and Projections Program, Texas State Data Center, Office of the State Demographer and the Institute for Demographic and Socioeconomic Research, The University of Texas at San Antonio.

Current population estimates and projections for all years from 2014 to 2023 as of December 2023.

This shows records of title activity (transactions recording changes of ownership), and registration activity (transactions authorizing vehicles to be used on Washington public roads).

March 2021 - Present. Vaccine doses administered to individuals in the Commonwealth of Virginia by sex. Updated daily at 12:00 p.m.

From data.virginia.gov: "This dataset includes the number of people in each locality by vaccination status and sex. The data set increases in size daily and as a result, the dataset may take longer to update; however, it is expected to be available by 12:00 noon daily."

March 2021 - Present. Vaccine doses administered to individuals in the Commonwealth of Virginia by age group. Updated daily at 12:00 p.m.

From data.virginia.gov: "This dataset includes the number of people in each locality by vaccination status and age group. The data set increases in size daily and as a result, the dataset may take longer to update; however, it is expected to be available by 12:00 noon daily."

Certified models meet all ENERGY STAR requirements as listed in the Version 3.0 ENERGY STAR Program Requirements for Audio Video Equipment that are effective as of May 1, 2013. A detailed listing of key efficiency criteria are available at https://www.energystar.gov/products/electronics/audiovideo/key_product_criteria.

This dataset contains the number of discharged ACT participants at admission to ACT and at discharge from ACT within a set of outcome indicators such as living situation, employment and risk behaviors. The data are aggregated by New York State region, year of discharge (past 5 years), AOT status at admission, and by behavioral health diagnosis at admission.

The Division of Criminal Justice Services (DCJS) collects information regarding Probationers Under Supervision from New York City Probation and the 57 county probation departments outside New York City. This datasets shows the number of probationers, by county, by conviction category and by type of offense.

All crime data on openAlbany is preliminary data and subject to change. The information presented through openAlbany represents Part I victim based crime data. The data does not represent statistics submitted to the FBI's Uniform Crime Report (UCR); therefore any comparisons are strictly prohibited. For further clarification of UCR data, please visit http://www.fbi.gov/about-us/cjis/ucr/ucr. Please note that this data is preliminary and subject to change. Prior month data is likely to show changes when it is refreshed on a monthly basis. All data is geocoded to the approximate latitude/longitude location of the incident and excludes those records for which an address could not be geocoded. Any attempt to match the approximate location of the incident to an exact address is strictly prohibited.

OSHA compliance officers often take industrial hygiene samples when monitoring worker exposures to chemical hazards. Many of these samples are submitted to the Salt Lake Technical Center (SLTC) for analysis. The sampling results included on this data set represent the records of the SLTC sampling information system from 1984 forward. They include data on personal, area, and bulk samples for various airborne contaminants. All inspection sampling results will be included here once the case is closed. OSHA does not publicly disclose information from the following types of cases: open inspections and citations currently under contest or under appeal to the Occupational Safety and Health Review Commission or the U.S. Courts of Appeals. After litigation has concluded, the sampling data from the related inspection will be added at the next scheduled update. OSHA updates the data on this web page semi-annually in January and July.

This data represents the annual progress of the Little Rock Fire Department's Save-A-Life Smoke Alarm Program that puts working smoke alarms in the homes of Little Rock residents for free.

Health data from the CDC's 500 cities project expanded to all census tracts. For more information on this project check out the source data here: https://chronicdata.cdc.gov/500-Cities-Places/PLACES-Census-Tract-Data-GIS-Friendly-Format-2020-/yjkw-uj5s

This dataset represents the metadata related to body worn camera videos recorded by the New Orleans Police Department. This dataset is updated monthly.Disclaimer: The New Orleans Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.

Arrest data from the Washington Association of Sheriffs and Police Chiefs (WASPC). Population and demographic data from the U.S. Census Bureau American Community Survey.

This dataset contains all currently pending Superior Court cases. This includes all criminal complex, criminal non-complex, family, civil, and business cases. This data is extracted daily from the Odyssey system, and also updated here daily.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs and the Child and Adult Care Food Program (CACFP). TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

About the Dataset This dataset contains claimed meals served by summer feeding sites participating in the Summer Food Service Program (SFSP) for summer 2016 (SNP program year 2015-2016). Summer feeding programs operate mid-May through the end of August.

This dataset contains site-level claimed meal counts. Reimbursement data is collected at the sponsor level and is reported in the “Summer Feeding Programs – Summer Food Service Program (SFSP) – Meal Reimbursements” dataset for the program year.

For data on sites participating in the Seamless Summer Option (SSO), please refer to the Summer Feeding Programs – Seamless Summer Option – Meal Counts and Meal Reimbursement datasets available on the State of Texas Open Data Portal.

About Dataset Updates TDA aims to post new program year data by July 15 of the active program period. Participants have 60 days to file monthly claims. Dataset updates will occur monthly until 90 days after the close of the program period. After 90 days from the close of the program period, the dataset will be updated at six months and one year from the close of program period before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs and the Child and Adult Care Food Program (CACFP). TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

About the Dataset This data set contains claimed meals served by summer meal sites participating in the Seamless Summer Option for summer 2017 (SNP program year 2016-2017). Summer meal programs operate mid-May through the end of August.

This dataset contains site-level claimed meal counts. Reimbursement data are collected at the sponsor level and are reported in the “Summer Meal Programs – Seamless Summer Option (SSO) – Meal Reimbursements” dataset for the program year.

For data on sites participating in the Summer Food Service Program (SFSP), please refer to the Summer Meal Programs - Summer Food Service Program (SFSP) – Meal Counts and Meal Reimbursement datasets available on the State of Texas Open Data Portal.

About Dataset Updates TDA aims to post new program year data by July 15 of the active program period. Participants have 60 days to file monthly claims. Dataset updates will occur monthly until 90 days after the close of the program period. After 90 days from the close of the program period, the dataset will be updated at six months and one year from the close of program period before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs and the Child and Adult Care Food Program (CACFP). TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

About the Dataset This data set contains claimed meals served by summer meal sites participating in the Seamless Summer Option for summer 2016 (SNP program year 2015-2016). Summer meal programs operate mid-May through the end of August.

This dataset contains site-level claimed meal counts. Reimbursement data are collected at the sponsor level and are reported in the “Summer Meal Programs – Seamless Summer Option (SSO) – Meal Reimbursements” dataset for the program year.

For data on sites participating in the Summer Food Service Program (SFSP), please refer to the Summer Meal Programs - Summer Food Service Program (SFSP) – Meal Counts and Meal Reimbursement datasets available on the State of Texas Open Data Portal.

About Dataset Updates TDA aims to post new program year data by July 15 of the active program period. Participants have 60 days to file monthly claims. Dataset updates will occur monthly until 90 days after the close of the program period. After 90 days from the close of the program period, the dataset will be updated at six months and one year from the close of program period before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Program (CACFP), and summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

A detailed list of TDA Food and Nutrition datasets and data fields available on the Texas Open Data Portal can be downloaded as a PDF here.

About the Dataset This data set contains claimed meals served by summer feeding sites participating in the Seamless Summer Option for summer 2018 (SNP program year 2017-2018). Summer feeding programs operate mid-May through the end of August.

This dataset contains site-level claimed meal counts. Reimbursement data is collected at the sponsor level and is reported in the “Summer Feeding Programs – Seamless Summer Option (SSO) – Meal Reimbursements” dataset for the program year.

For data on sites participating in the Summer Food Service Program (SFSP), please refer to the Summer Feeding Programs - Summer Food Service Program (SFSP) – Meal Counts and Meal Reimbursement datasets available on the State of Texas Open Data Portal.

An overview of all Summer Meal Program data available on the Texas Open Data Portal can be found at our TDA Data Overview - Summer Meals Programs page.

An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page.

About Dataset Updates TDA aims to post new program year data by July 15 of the active program period. Dataset updates will occur monthly until 90 days after the close of the program period. After 90 days from the close of the program period, the dataset will be updated at six months and one year from the close of program period before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs and the Child and Adult Care Food Program (CACFP). TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

About the Dataset This dataset contains claimed meals served by summer meal sites participating in the Summer Food Service Program (SFSP) for summer 2017 (SNP program year 2016-2017). Summer meal programs operate mid-May through the end of August.

This dataset contains site-level claimed meal counts. Reimbursement data is collected at the sponsor level and is reported in the “Summer Meal Programs – Summer Food Service Program (SFSP) – Meal Reimbursements” dataset for the program year.

For data on sites participating in the Seamless Summer Option (SSO), please refer to the Summer Meal Programs – Seamless Summer Option – Meal Counts and Meal Reimbursement datasets available on the State of Texas Open Data Portal.

About Dataset Updates TDA aims to post new program year data by July 15 of the active program period. Participants have 60 days to file monthly claims. Dataset updates will occur monthly until 90 days after the close of the program period. After 90 days from the close of the program period, the dataset will be updated at six months and one year from the close of program period before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

A combining of data from 23 Water Level and Flow monitoring stations from water areas in Alberta that directly influence the Water Level and Flow of the North Saskatchewan River.

A combination of data from 3 Water Level and Flow monitoring stations from water areas in Albert that directly influence the Water Level and Flow of the Sturgeon River.

This data is sourced from the Government of Alberta website and as such the Government of Alberta's disclaimer covers this data.

Government of Alberta Disclaimer:

Data provided through this web app is provisional and preliminary in nature. Data is automatically generated by remote equipment that may not be under control of the Government of Alberta. This data has not been reviewed or edited for accuracy and may be subject to significant change when reviewed or corrected. Please exercise caution and carefully consider the provisional nature of the information provided. The Government of Alberta assumes no responsibility for the accuracy or completeness of this data and any use of it is therefore, entirely at your own risk.

Additional Government of Alberta "Provisional Data Disclaimer":

Alberta Environment routinely collects real-time hydrometeorological data from meteorological and stream gauges using telephone and communications satellites to support its water resources management activities. These gauges are owned and operated by different organizations and partners outside the Alberta Government.

Near Real-Time data provided at this site are provisional and preliminary in nature. They are automatically generated by remote equipment that may not be under Alberta Government control and have not been reviewed or edited for accuracy. These data may be subject to significant change when manually reviewed and corrected.

The accuracy of the data can be affected by many factors including:

• malfunction of recording equipment

• algal and aquatic growth in the stream which affects the stage-discharge relationship

• backwater from ice or debris such as log jams

• changes to the stream bed geometry

Please exercise caution and carefully consider the provisional nature of the information provided. The Government of Alberta assumes no responsibility for the accuracy or completeness of these data and any use of them is entirely at your own risk. “

SANDAG provides an annual report on crime in the San Diego region. This dataset contains data from the 2009 through 2022 editions of the report. Data for 2023 is converted from California Incident Based Reporting System (CIBRS) data provided by SANDAG. Additional data comes from Arjis and DOJ OpenJustice. Some data for previous years reports is updated with new editions. "San Diego County" includes all cities and unincorporated areas in San Diego County. "Sheriff - Total" includes the contract cities and the unincorporated area served by the San Diego County Sheriff's Department. California and United States data come from the FBI's Annual Crime Reports.

Chart of Cook County Department of Corrections Closed Cells as of Aug. 26, 2011

This is a directory of the New York State Law Enforcement Agencies currently accredited under the New York State Law Enforcement Accreditation Program which was established in 1989 through Article 36, §846-h of the New York State Executive Law. The program was designed to provide law enforcement agencies with a mechanism to evaluate and improve the overall effectiveness of their agency and the performance of their staff.

This is a current list of approved security guard schools. The Security Guard Act of 1992 requires registration and training of security guards in New York State. The Division of Criminal Justice Services (DCJS) approves the private security training schools and provides administrative oversight for mandated security training.

Attributes about each violation citation issued at the scene of the motor vehicle crash reported to NYS DMV

Data from https://www.alberta.ca/employer-records-using-database.aspx.

This data is sourced from the Government of Alberta website; commercial use may require their permission. Please see https://www.alberta.ca/disclaimer.aspx.

Note that data for 2014 to 2018 is also available from https://open.alberta.ca/dataset/employer-records/resource/ba3b3ae4-ffb7-4b41-9fce-49de2a58ccb2; license at https://open.alberta.ca/licence.

The source website also notes that there’s good comparability of the 5-year snapshot of employer injury claims and rate statistics released by Alberta Labour and Immigration with those released directly by WCB. However, small methodological and coverage differences exist due to differing business reporting requirements. For these reasons, statistics released by the ministry and by the WCB are not expected to be identical. Consideration of when the data were last updated should also be noted by the users of this report.

Summary Reporting System (SRS) and the National Incident-Based Reporting System (NIBRS) are part of the FBI's Uniform Crime Reporting system. SRS and NIBRS collect data on crime incidents that are reported by law enforcement agencies across the country. Because SRS and NIBRS data are collected differently, they cannot be compared.

NIBRS was created in the 1980s to collect more detailed information on crime. Washington NIBRS data begins in 2012.

When interviewing the alleged victim, the APS worker: • addresses all important factors regarding the allegations and the alleged victim’s overall situation; • interviews the alleged victim alone in cases involving an alleged perpetrator, but allows the alleged victim to have another person present, if requested by the alleged victim; and • interviews the alleged victim again at a later time as necessary to resolve discrepancies.

When another person is present during the interview, the APS worker documents whether the alleged victim requested that the person be present and the person’s relationship to the alleged victim.

The APS specialist monitors the alleged victim during the interview to see if the alleged victim appears to be hesitant, withdrawn, or nervous while participating in the interview. Such cues may be indications that the alleged victim is not comfortable speaking openly in the presence of the other person.

FOOTNOTES

1. Includes victims who were also perpetrators (findings of self-neglect.)

2. Victims have been unduplicated by investigation stage.

3. Some investigations were completed without region or county location information being recorded. These investigations are included in the relevant annual total, with "None Specified" as their Region and County values.

When interviewing the alleged victim, the APS worker: • addresses all important factors regarding the allegations and the alleged victim’s overall situation; • interviews the alleged victim alone in cases involving an alleged perpetrator, but allows the alleged victim to have another person present, if requested by the alleged victim; and • interviews the alleged victim again at a later time as necessary to resolve discrepancies.

When another person is present during the interview, the APS worker documents whether the alleged victim requested that the person be present and the person’s relationship to the alleged victim.

The APS specialist monitors the alleged victim during the interview to see if the alleged victim appears to be hesitant, withdrawn, or nervous while participating in the interview. Such cues may be indications that the alleged victim is not comfortable speaking openly in the presence of the other person.

1. Includes victims who were also perpetrators (findings of self-neglect.)

2. Victims have been unduplicated by investigation stage.

3. Some investigations were completed without region or county location information being recorded. These investigations are included in the relevant annual total, with "None Specified" as their Region and County values.

Visit dfps.state.tx.us for information on all DFPS programs.

Number of personal violent and property crimes in Pierce County.

Only specific crimes are highlighted in the crime rates presented here. These numbers represent total numbers of reported crimes in each category (not arrests which may occur over a prolonged period).

The following categories represent the personal violent crimes considered in this data: Murder, Manslaughter, Forcible Sex, Assault, Kidnapping/Abduction, Human Trafficking, and Robbery.

The following categories represent the property crimes considered in this data: Burglary, Theft, Arson, and Destruction of Property.

Each set of crimes is totaled, then the rate per 1,000 people is calculated using the total # of crimes and the current population of each jurisdiction per year as provided in the same report.

This is a voluntary program and as such, some law enforcement agencies do not participate or have only recently participated, which is also reflected in this table.

Data covers December 1, 2010 through September 22, 2011

Calls for service received by the City of Corona's Police Department by type. Data is pulled directly from the PD record management system. This system is updated real-time by dispatch and file personnel in the field. Important Notice: The City of Corona Fire and Police Department recently implemented a new Public Safety software solution. Due to this change, the data displayed on this dashboard is current up to 07/08/2019. We appreciate your patience as we work to correct this issue. Update Frequency: Daily Data Disclaimer: The City Of Corona (“Corona”) provides data available on this website as a service to the public. The data provided by Corona is based on historical data, information directly provided by Corona, information directly provided by Corona contractors and in some cases, information acquired during physical inspections. Corona does not guarantee the accuracy of this data and assumes no liability for any errors. The data shall be used for the sole purpose of providing the public with information regarding this program and not for any commercial, legal or other use. Corona assumes no liability for any decisions made or action taken or not taken by anyone using data provided from this website. Corona reserves the right to alter, amend or terminate at any time the display of this data.

Dataset highlighting crimes reported to the Albany Police Department for the past year to date geocoded by Patrol Zone. It is the same data as Neighborhood

For purposes of crime statistics, the FBI Uniform Crime Report Hierarchy Rule requires when more than one offense occurs in an incident the highest priority crime is selected as the primary offense.

Dataset highlighting crimes reported to the Albany Police Department for the past year to date geocoded by Neighborhood. It is the same data as Patrol Zone.

For purposes of crime statistics, the FBI Uniform Crime Report Hierarchy Rule requires when more than one offense occurs in an incident the highest priority crime is selected as the primary offense.

This dataset contains the location (the approximate latitude/longitude of the Intersection Safety Device), the number of tickets issued at the various speed ranges in excess of the enforce speed limit and the number of tickets issued for red light violations by month of enforcement.

Life Expectancy - This indicator shows life expectancy from birth, in years. Life expectancy is a summary measure used to describe overall health. Life expectancy at birth is the average number of years a newborn is expected to live given current conditions. The life expectancy in the US is the highest in recorded history thanks to public health interventions such as improvements in sanitation and food safety, development and use of vaccines, and health promotion efforts. Link to Data Details

CPI Intakes: Priority, Screening and Assignment

To establish timeframes for investigations, each report of child abuse and neglect is assigned a priority:

Priority I - Intake reports that concern children who appear to face an immediate risk of abuse or neglect that could result in death or serious harm. CPI must initiate the investigation within 24 hours of receiving a Priority I report.

Priority II - All reports of abuse or neglect that are not assigned as Priority I are assigned as Priority II. These are reports that contain allegations of abuse or neglect in which there does not appear to be an immediate threat of serious harm or death. A subset of these reports are sent down the Alternative Response (AR)* pathway. Those reports not sent to AR continue as a traditional investigation. CPI must initiate these investigations within 72 hours of receiving a Priority II report.

*In November 2014, CPI implemented Alternative Response (AR) which is a different way to respond to reports of abuse/neglect. AR allows for a more flexible, family engaging approach while still focusing on the safety of the children. AR cases differ from traditional investigations cases in that there will be no substantiation of allegations, no entry of perpetrators into the Central Registry (a repository for reports of child abuse and neglect), and there will be a heightened focus on guiding the family to plan for safety in a way that works for them and therefore sustains the safety.

This dashboard addresses Texas Family Code Section 264.017(b)(1).

Priority 1 Response Time Averages based on Dispatch to Arrival times. Response averages are provided in the following categories: Citywide, East Area Command, North Area Command, West Area Command Response Time = Arrival Time minus Dispatch Time Response Average = Average of response times for given category

The Children and Family Services Division caseload sizes for intake and case management workers.

Municipal court yearly case data by type.

The Security Department ensures the safety and security of patrons, employees and facilities in Chicago’s Parks. The data that is displayed below represents the total number of security checks that staff made during the previous week.

The Development Log provides a record of large-scale development projects occurring in the City of Cambridge. The Log, updated on a quarterly basis, is distributed to City departments and the public to keep them posted about development progress, from permitting through construction to completion. A separate Development Log table includes general project information, such as development status and statistics related to the entire project.

The MapLot Table provides location information used by the Cambridge Assessing Department for all developments found in the last published edition of the Log, whose status range from In Permitting to Complete in the current calendar year, as well as any completed since 2011.

For more information concerning current projects see https://data.cambridgema.gov/Planning/Development-Log-Current-Edition/wjwg-93qh For completed projects found here see https://data.cambridgema.gov/Planning/Development-Log-Historical-Projects-Additional-Det/5432-hmix

Nuisance, complaint, and code violation cases from the Building Department, issued since January 1st, 2011 to Jun 30, 2020

Data extracted from records of tickets on file with NYS DMV. The tickets were issued to motorists for violations of: NYS Vehicle & Traffic Law (VTL), Thruway Rules and Regulations, Tax Law, Transportation Law, Parks and Recreation Regulations, Local New York City Traffic Ordinances, and NYS Penal Law pertaining to the involvement of a motor vehicle in acts of assault, homicide, manslaughter and criminal negligence resulting in injury or death.

COVID-19 data for Edmonton:

From https://www.alberta.ca/covid-19-alberta-data.aspx:
  - Previous day's Confirmed Cases, Active Cases, Recovered Cases, In Hospital, In Intensive Care, Deaths.

From https://www.alberta.ca/stats/covid-19-alberta-statistics.htm:
  - Figure 12: Rate of new hospitalizations (7-day rolling average, average of current day and previous 6 days) by admission date.
  - Figure 14: Cumulative COVID-19 cases.
  - Figure None: Rate of COVID-19 cases (per 100,000 population)
  - Figure 15: Tests performed for COVID-19 in Alberta by day.
  - Figure 17: Positivity rate for COVID-19, and number of tests performed, by region.

NB:
  - The relevant Alberta Health Services websites are typically updated late afternoon Monday to Friday (except holidays), and the newly-added data applies to the previous day. As such, for much of each weekday the most recent data in this dataset will be for two days prior.
  - This dataset was last updated 2023-08-29 15:15 with data as of end of day 2023-07-24.
  - Data rows are reflective of the relevant Alberta Health Services' website as of the specified date. The data may be changed or corrected by Alberta Health Services on its relevant website, rendering the recorded values herein inaccurate.

Some gaps in historical data were filled from https://docs.google.com/spreadsheets/d/1DAQ8_YJKdczjhFms9e8Hb0eVKX_GL5Et5CWvVcPKogM/edit#gid=0, with dates adjusted from "data published" date to "data applies to" date.

Bookings that were admitted into Pierce County Corrections starting in January 2010. Data sourced from LINX system.

The “Crime Rate” is the number of Part I Index Crimes per 100,000 population. The crime rate for Janesville increased 11.5% in 2017 from the previous year. The following chart shows the crime rate for the City of Janesville for a ten year period and the average crime rate during the same period.

The “Crime Rate” is the number of Part I Index Crimes per 100,000 population. The crime rate for Janesville decreased 12% in 2019 from the previous year. The following chart shows the crime rate for the City of Janesville for a ten year period and the average crime rate during the same period.

This file contains address information for land parcels within The City of Calgary.

These statistics come from more than three million data items reported on about 250,000 sales tax returns filed quarterly and on about 300,000 returns filed annually. The dataset categorizes quarterly sales and purchases data by industry group using the North American Industry Classification System. The status of data will change as preliminary data becomes final.

COVID-19 data for Alberta:

From https://www.alberta.ca/covid-19-alberta-data.aspx:
  - Previous day's Confirmed Cases, Active Cases, Recovered Cases, In Hospital, In Intensive Care, Deaths.

From https://www.alberta.ca/stats/covid-19-alberta-statistics.htm:
  - Figure 14: Cumulative COVID-19 cases.
  - Figure None: Rate of COVID-19 cases (per 100,000 population)
  - Figure 15: Tests performed for COVID-19 in Alberta by day.

NB:
  - The relevant Alberta Health Services websites are typically updated late afternoon Monday to Friday (except holidays), and the newly-added data applies to the previous day. As such, for much of each weekday the most recent data in this dataset will be for two days prior.
  - This dataset was last updated 2023-08-29 15:15 with data as of end of day 2023-07-24.
  - Data rows are reflective of the relevant Alberta Health Services' website as of the specified date. The data may be changed or corrected by Alberta Health Services on its relevant website, rendering the recorded values herein inaccurate.

Some gaps in historical data were filled from https://docs.google.com/spreadsheets/d/1DAQ8_YJKdczjhFms9e8Hb0eVKX_GL5Et5CWvVcPKogM/edit#gid=0, with dates adjusted from "data published" date to "data applies to" date.

Statistics Canada data from the 2016 Census of Population, aligned to Edmonton's neighbourhood boundaries. For the neighbourhood boundaries as they were at the time of the census, please see https://data.edmonton.ca/d/3did-mjnj.

Source: Statistics Canada, 2016 Census of Population, 2021-01-13. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada. Please see https://www.statcan.gc.ca/eng/reference/licence and https://www.statcan.gc.ca/eng/reference/licence-faq for the terms of the Statistics Canada Open Licence.

Note that if you use this data to create another product, an additional acknowledgement is required: "Adapted from Statistics Canada, 2016 Census of Population, . This does not constitute an endorsement by Statistics Canada of this product."

Statistics Canada data from the 2016 Census of Population, aligned to Edmonton's neighbourhood boundaries. For the neighbourhood boundaries as they were at the time of the census, please see https://data.edmonton.ca/d/3did-mjnj.

Source: Statistics Canada, 2016 Census of Population, 2021-01-13. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada. Please see https://www.statcan.gc.ca/eng/reference/licence and https://www.statcan.gc.ca/eng/reference/licence-faq for the terms of the Statistics Canada Open Licence.

Note that if you use this data to create another product, an additional acknowledgement is required: "Adapted from Statistics Canada, 2016 Census of Population, . This does not constitute an endorsement by Statistics Canada of this product."

Statistics Canada data from the 2016 Census of Population, aligned to Edmonton's neighbourhood boundaries. For the neighbourhood boundaries as they were at the time of the census, please see https://data.edmonton.ca/d/3did-mjnj.

Source: Statistics Canada, 2016 Census of Population, 2021-01-13. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada. Please see https://www.statcan.gc.ca/eng/reference/licence and https://www.statcan.gc.ca/eng/reference/licence-faq for the terms of the Statistics Canada Open Licence.

Note that if you use this data to create another product, an additional acknowledgement is required: "Adapted from Statistics Canada, 2016 Census of Population, . This does not constitute an endorsement by Statistics Canada of this product."

Statistics Canada data from the 2016 Census of Population, aligned to Edmonton's neighbourhood boundaries. For the neighbourhood boundaries as they were at the time of the census, please see https://data.edmonton.ca/d/3did-mjnj.

Source: Statistics Canada, 2016 Census of Population, 2021-01-13. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada. Please see https://www.statcan.gc.ca/eng/reference/licence and https://www.statcan.gc.ca/eng/reference/licence-faq for the terms of the Statistics Canada Open Licence.

Note that if you use this data to create another product, an additional acknowledgement is required: "Adapted from Statistics Canada, 2016 Census of Population, . This does not constitute an endorsement by Statistics Canada of this product."

Statistics Canada data from the 2016 Census of Population, aligned to Edmonton's neighbourhood boundaries. For the neighbourhood boundaries as they were at the time of the census, please see https://data.edmonton.ca/d/3did-mjnj.

Source: Statistics Canada, 2016 Census of Population, 2021-01-13. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada. Please see https://www.statcan.gc.ca/eng/reference/licence and https://www.statcan.gc.ca/eng/reference/licence-faq for the terms of the Statistics Canada Open Licence.

Note that if you use this data to create another product, an additional acknowledgement is required: "Adapted from Statistics Canada, 2016 Census of Population, . This does not constitute an endorsement by Statistics Canada of this product."

Severity of Collisions by Population and Road Users.In September 2022, CRCs were launched in Edmonton to be a centralized place for residents to report their collisions. This new process changed the collision data collection and reporting process for residents as well as how the data is managed and reported. CRCs were created as a partnership between EPS and Accident Support Services International. The CRCs have provided collision reports that differ in consistency and accuracy from the data previously received from EPS.

Fire & EMS call volumes are monitored and updated monthly for general operations review.

Locations and attributes of streetlight assets from across the ACT. Note that this dataset excludes privately owned assets. Note that this dataset has allowed for an appropriate margin of error with regard to the accuracy of the data.

This dataset provides model-based provisional estimates of the weekly numbers of drug overdose, suicide, and transportation-related deaths using “nowcasting” methods to account for the normal lag between the occurrence and reporting of these deaths. Estimates less than 10 are suppressed. These early model-based provisional estimates were generated using a multi-stage hierarchical Bayesian modeling process to generate smoothed estimates of the weekly numbers of death, accounting for reporting lags. These estimates are based on several assumptions about how the reporting lags have changed in recent months across different jurisdictions, and the resulting estimates differ from other sources of provisional mortality data. For now, these estimates should be considered highly uncertain until further evaluations can be done to determine the validity of these assumptions about timeliness. The true patterns in reporting lags will not be known until data are finalized, typically 11–12 months after the end of the calendar year. Importantly, these estimates are not a replacement for monthly provisional drug overdose death counts, or quarterly provisional mortality estimates. For more detail about the nowcasting methods and models, see:

Rossen LM, Hedegaard H, Warner M, Ahmad FB, Sutton PD. Early provisional estimates of drug overdose, suicide, and transportation-related deaths: Nowcasting methods to account for reporting lags. Vital Statistics Rapid Release; no 11. Hyattsville, MD: National Center for Health Statistics. February 2021. DOI: https://doi.org/10.15620/ cdc:101132

This dataset lists firms that hold, or have held credentials from the Washington State Board of Accountancy. The Board of Accountancy provides this data to aid in verifying credentials and disciplinary history.

As of January 1, 2020, newly posted Board Orders will be web accessible. If you need assistance, please contact us at (360) 753-2586 or customerservice@acb.wa.gov.

Disclaimer: In the interest of transparency, the Board has made a copy of the selected portions of the database available through this website. Although this information is updated nightly, the information found through this service is not guaranteed to be accurate or timely.

The Board does not guarantee the use of this information for any purpose and as such, the information obtained from this database should not be considered an official endorsement of any individual or firm.

To inquire about any disciplinary actions taken against an individual or firm, please contact enforcement at (360) 664-9266. For all other inquiries, please contact customer service at (360) 753-2586.

This dataset lists individuals who hold, or have held credentials from the Washington State Board of Accountancy. The Board of Accountancy provides this data to aid in verifying credentials and disciplinary history.

As of January 1, 2020, newly posted Board Orders will be web accessible. If you need assistance, please contact us at (360) 753-2586 or customerservice@acb.wa.gov.

Disclaimer: In the interest of transparency, the Board has made a copy of the selected portions of the database available through this website. Although this information is updated nightly, the information found through this service is not guaranteed to be accurate or timely.

The Board does not guarantee the use of this information for any purpose and as such, the information obtained from this database should not be considered an official endorsement of any individual or firm.

To inquire about any disciplinary actions taken against an individual or firm, please contact enforcement at (360) 664-9266. For all other inquiries, please contact customer service at (360) 753-2586.

Help us provide the most useful data by completing our ODP User Feedback Survey for Summer Meal Programs Data

About the Dataset This dataset contains claimed meals served by sites participating in the Summer Food Service Program (SFSP) for summer 2020 (SNP program year 2019-2020). Summer meal programs operate mid-May through the end of August.

In March 2020, USDA began allowing flexibility in nutrition assistance program policies in order to support continued meal access should the coronavirus pandemic (COVID-19) impact meal service operation. This included early operation of the Summer Food Service Program (SFSP) and Seamless Summer Option (SSO). Sites participating in these flexibilities are indicated in the newly added COVID Meal Site column of this dataset. For more information on the waivers implemented for this purpose, please visit our website at SquareMeals.org.

This dataset contains site-level claimed meal counts. Reimbursement data is collected at the sponsor level and is reported in the “Summer Meal Programs – Summer Food Service Program (SFSP) – Meal Reimbursements” dataset for the program year.

Dataset change as of October 4, 2019: Meal Average Daily Participation (ADP) will no longer be included as part of this dataset. Second meals served results in variety in which ADP can be calculated. The end-user can now determine the method of calculating ADP as per their need.

For data on sites participating in the Seamless Summer Option (SSO), please refer to the Summer Meal Programs – Seamless Summer Option – Meal Counts and Meal Reimbursement datasets available on the State of Texas Open Data Portal.

An overview of all Summer Meal Program data available on the Texas Open Data Portal can be found at our TDA Data Overview - Summer Meals Programs page.

An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page.

About Dataset Updates

TDA aims to post new program year data by July 15 of the active program period. Participants have 60 days to file monthly claims. Dataset updates will occur monthly until 90 days after the close of the program period. After 90 days from the close of the program period, the dataset will be updated at six months and one year from the close of program period before becoming archived. Archived datasets will remain published but will not be updated. Any data posted during the active program year is subject to change.

About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Programs (CACFP), and summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit our website.

A detailed list of TDA Food and Nutrition datasets and data fields available on the Texas Open Data Portal can be downloaded as a PDF <a href=http://www.squaremeals.org/Portals/8/f

This was one single topic among many from Part 2 of the March 2017 Mixed Topic survey. To view the survey questions, click on the following link:

https://www.edmontoninsightcommunity.ca/R.aspx?a=1623&as=9jF1MQ27Rm&t=1

Open from March 21 - 28, 2017.

At the time the survey was launched survey invitations were sent to 6705 Insight Community Members. 1748 members completed the survey which represents a completion rate of 26%. A total of 1758 respondents completed the survey: 1748 Insight Community Members and 10 using the anonymous link(s) which will have no demographic info.

Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

This was one single topic among many as part of the April Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=254&t=1. Open from April 14 - 22, 2015. At the time the survey was launched survey invitations were sent to 2592 Insight Community Members. 947 members completed the survey which represents a completion rate of 36.5%. A total of 979 respondents completed the survey: 947 Insight Community Members and 32 using the anonymous link which will have no demographic info.

The Development Log provides a record of large-scale development projects occurring in the City of Cambridge. The Log, updated on a quarterly basis, is distributed to City departments and the public to keep them posted about development progress, from permitting through construction to completion. This table includes data about each specific use found within each project. A separate Development Log table includes general project information, such as development status and statistics related to the entire project.

The Current Edition Table lists data from all developments found in the last published edition of the Log, whose status range from In Permitting to Complete in the then current calendar year. For projects completed in earlier calendar years see https://data.cambridgema.gov/Planning/Development-Log-Historical-Projects-Use-Data/r5mv-isth

The Department of Taxation and Finance annually publishes statistical information on the New York State real property tax credit (RPTC). Summary data are presented for taxpayers who were full-year New York state residents. Taxpayers may claim the credit even if they had no New York State personal income tax liability and, therefore, were not required to file an income tax return. Data are shown for the total number of claimants and credit claimed by county, age under and over 65, type of residence, filing category, and household gross income.

NNDSS - TABLE 1DD. Rubella to Rubella, congenital syndrome - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes: U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks.

• Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).

NNDSS - TABLE 1HH. Syphilis, Congenital to Syphilis, Primary and Secondary – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes: U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks.

• Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).

NNDSS - TABLE 1BB. Q fever, Total to Q fever, Chronic - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes: U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks.

• Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S, a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).

NNDSS - TABLE 1LL. Vibriosis, Confirmed to Vibriosis, Probable – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes: U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks.

• Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data

NNDSS - TABLE 1P. Hemolytic uremic syndrome post-diarrheal to Hepatitis B, acute - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes: U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks.

• Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).

NNDSS - TABLE 1K. Ehrlichiosis and Anaplasmosis, Anaplasma phagocytophilum infection to Ehrlichia chaffeensis infection - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes: U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks.

• Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).

Information related to criminal cases in the media.

Percent of Adult Protective Services Cases that are Resolved and Stabilized for at least 12 Months

Washington State Hepatitis A 2019 Cases By Onset (or Diagnosis) Date

This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated 8/14/2024.

Definition of "All Cancer Sites": ICD-O-3 Topography (Site) Codes C00.0 – C80.9 with histology codes including all invasive cancers of all sites except basal and squamous cell skin cancers, and in situ cancer cases of the urinary bladder. Total includes cases reported as transexual, hermaphrodite, and unknown gender. Some cells are missing data due to suppression of low cell counts.

Represents inmate admissions to the NYS Department of Corrections and Community Supervision for a new offense or for a parole violation by month of admission. Includes data about admission type, county, gender, age, and crime.

This dataset represents the metadata describing the process of transferring in-car camera videos recorded by the New Orleans Police Department from the server to DVDs in order to free up storage space. This dataset is updated quarterly through a manual spreadsheet transfer and upsert. Disclaimer: The New Orleans Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.

VITAL SIGNS INDICATOR Daily Miles Traveled (T14)

FULL MEASURE NAME Total vehicle miles traveled

LAST UPDATED July 2017

DESCRIPTION Daily miles traveled, commonly referred to as vehicle miles traveled (VMT), reflects the total and per-person number of miles traveled in personal vehicles on a typical weekday. The dataset includes metropolitan area, regional and county tables for total vehicle miles traveled.

DATA SOURCE California Department of Transportation: California Public Road Data/Highway Performance Monitoring System 2001-2015 http://www.dot.ca.gov/hq/tsip/hpms/datalibrary.php

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) Vehicle miles traveled reflects the mileage accrued within the county and not necessarily the residents of that county; even though most trips are due to local residents, additional VMT can be accrued by through-trips. City data was thus discarded due to this limitation and the analysis only examine county and regional data, where through-trips are generally less common.

The metropolitan area comparison was performed by summing all of the urbanized areas for which the majority of its population falls within a given metropolitan area (9-nine region for the San Francisco Bay Area and the primary MSA for all others). For the metro analysis, no VMT data is available in rural areas; it is only available for intraregional analysis purposes.

VITAL SIGNS INDICATOR Daily Miles Traveled (T14)

FULL MEASURE NAME Total vehicle miles traveled

LAST UPDATED July 2017

DESCRIPTION Daily miles traveled, commonly referred to as vehicle miles traveled (VMT), reflects the total and per-person number of miles traveled in personal vehicles on a typical weekday. The dataset includes metropolitan area, regional and county tables for total vehicle miles traveled.

DATA SOURCE Federal Highway Administration: Highway Statistics Series 2015 Table HM-71; limited to urbanized areas https://www.fhwa.dot.gov/policyinformation/statistics.cfm

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) Vehicle miles traveled reflects the mileage accrued within the county and not necessarily the residents of that county; even though most trips are due to local residents, additional VMT can be accrued by through-trips. City data was thus discarded due to this limitation and the analysis only examine county and regional data, where through-trips are generally less common.

The metropolitan area comparison was performed by summing all of the urbanized areas for which the majority of its population falls within a given metropolitan area (9-nine region for the San Francisco Bay Area and the primary MSA for all others). For the metro analysis, no VMT data is available in rural areas; it is only available for intraregional analysis purposes.

VITAL SIGNS INDICATOR Daily Miles Traveled (T14)

FULL MEASURE NAME Total vehicle miles traveled

LAST UPDATED July 2017

DESCRIPTION Daily miles traveled, commonly referred to as vehicle miles traveled (VMT), reflects the total and per-person number of miles traveled in personal vehicles on a typical weekday. The dataset includes metropolitan area, regional and county tables for total vehicle miles traveled.

DATA SOURCE California Department of Transportation: California Public Road Data/Highway Performance Monitoring System 2001-2015 http://www.dot.ca.gov/hq/tsip/hpms/datalibrary.php

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) Vehicle miles traveled reflects the mileage accrued within the county and not necessarily the residents of that county; even though most trips are due to local residents, additional VMT can be accrued by through-trips. City data was thus discarded due to this limitation and the analysis only examine county and regional data, where through-trips are generally less common.

The metropolitan area comparison was performed by summing all of the urbanized areas for which the majority of its population falls within a given metropolitan area (9-nine region for the San Francisco Bay Area and the primary MSA for all others). For the metro analysis, no VMT data is available in rural areas; it is only available for intraregional analysis purposes.

Body Art Program Inspection Violations

NNDSS - TABLE 1V. Malaria to Measles, Indigenous - 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island.

Note: This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes: U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks.

• Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data). § Measles is considered imported if the disease was acquired outside of the United States and is considered indigenous if the disease was acquired anywhere within the United States or it is not known where the disease was acquired.

AB109 ReEntry Employment Preparation (REEP). HSARP Measure K Performance

Calls received by the City of Corona Police Department for service. Counted by priority and zone. Data is pulled directly from the PD record management system. This system is updated real-time by dispatch and file personnel in the field. Update Frequency: Daily Data Disclaimer: The City Of Corona (“Corona”) provides data available on this website as a service to the public. The data provided by Corona is based on historical data, information directly provided by Corona, information directly provided by Corona contractors and in some cases, information acquired during physical inspections. Corona does not guarantee the accuracy of this data and assumes no liability for any errors. The data shall be used for the sole purpose of providing the public with information regarding this program and not for any commercial, legal or other use. Corona assumes no liability for any decisions made or action taken or not taken by anyone using data provided from this website. Corona reserves the right to alter, amend or terminate at any time the display of this data.

Local persons held in Orleans Parish Prison by race in 2010, 2011, 2012, 2013, 2014, 2015, and 2016

The principal governing legislation for CPI investigations is Chapter 261 of the Texas Family Code (TFC).

The TFC definitions* of abuse or neglect investigated by CPI are: Physical Abuse - Physical injury that results in substantial harm to the child, or the genuine threat of substantial harm from physical injury to the child.

Sexual Abuse - Sexual conduct harmful to a child’s mental, emotional, or physical welfare.

Emotional Abuse - Mental or emotional injury to a child that results in an observable and material impairment in the child’s growth, development, or psychological functioning.

Neglectful Supervision - Placing the child in or failing to remove the child from a situation that a reasonable person would realize requires judgment or actions beyond the child’s level of maturity, physical condition, or mental abilities that results in bodily injury or a substantial risk of immediate harm to the child.

Medical Neglect - Failing to seek, obtain, or follow through with medical care for a child, with the failure resulting in or presenting a substantial risk of death, disfigurement, or bodily injury or with the failure resulting in an observable and material impairment to the growth, development, or functioning of the child.

Physical Neglect - Failure to provide the child with food, clothing, or shelter necessary to sustain the life or health of the child, excluding failure caused primarily by financial inability unless relief services had been offered and refused.

Refusal to Assume Parental Responsibility - Failure by the person responsible for a child’s care, custody, or welfare to permit the child to return to the child’s home without arranging for the necessary care for the child.

Abandonment - The leaving of a child in a situation where the child would be exposed to a substantial risk of physical or mental harm, without arranging for necessary care for the child. *See the full definitions in the CPS Glossary.

Victims have been unduplicated by investigation stage.

Visit dfps.texas.gov for information on CPS Abuse/Neglect Investigations and all DFPS programs.

Reports of City of Bloomington employees with positive COVID-19 viral test results by department. The dataset also includes results from the municipal corporations of the Bloomington Housing Authority, Bloomington Transit, and the City of Bloomington Utilities. Note that results listed as "City Hall" include results from multiple departments whose employees work only at City Hall. These include: Community and Family Resources, Controller, Economic and Sustainable Development, Housing and Neighborhood Development, Human Resources, Information and Technology Services, Mayor's Office, Parks administration, and Public Works administration.

Go to http://on.ny.gov/1Cx6zvs or http://on.ny.gov/1KYjE6X on the New York Lottery website for past Daily Numbers/Win-4 results and payouts.

VITAL SIGNS INDICATOR Daily Miles Traveled (T15)

FULL MEASURE NAME Per-capita vehicle miles traveled

LAST UPDATED July 2017

DESCRIPTION Daily miles traveled, commonly referred to as vehicle miles traveled (VMT), reflects the total and per-person number of miles traveled in personal vehicles on a typical weekday. The dataset includes metropolitan area, regional and county tables for per-capita vehicle miles traveled.

DATA SOURCE Federal Highway Administration: Highway Statistics Series 2015 Table HM-71; limited to urbanized areas https://www.fhwa.dot.gov/policyinformation/statistics.cfm

U.S. Census Bureau: Summary File 1 2010 http://factfinder2.census.gov

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) "Vehicle miles traveled reflects the mileage accrued within the county and not necessarily the residents of that county; even though most trips are due to local residents, additional VMT can be accrued by through-trips. City data was thus discarded due to this limitation and the analysis only examine county and regional data, where through-trips are generally less common.

The metropolitan area comparison was performed by summing all of the urbanized areas within each metropolitan area (9-nine region for the San Francisco Bay Area and the primary MSA for all others). For the metro analysis, no VMT data is available outside of other urbanized areas; it is only available for intraregional analysis purposes.

VMT per capita is calculated by dividing VMT by an estimate of the traveling population. The traveling population does not include people living in institutionalized facilities, which are defined by the Census. Because institutionalized population is not estimated each year, the proportion of people living in institutionalized facilities from the 2010 Census was applied to the total population estimates for all years."

VITAL SIGNS INDICATOR Daily Miles Traveled (T15)

FULL MEASURE NAME Per-capita vehicle miles traveled

LAST UPDATED July 2017

DESCRIPTION Daily miles traveled, commonly referred to as vehicle miles traveled (VMT), reflects the total and per-person number of miles traveled in personal vehicles on a typical weekday. The dataset includes metropolitan area, regional and county tables for per-capita vehicle miles traveled.

DATA SOURCE California Department of Transportation: California Public Road Data/Highway Performance Monitoring System 2001-2015 http://www.dot.ca.gov/hq/tsip/hpms/datalibrary.php

California Department of Finance: Population and Housing Estimates Forms E-8 and E-5 2001-2015 http://www.dof.ca.gov/research/demographic/reports/estimates/e-8/ http://www.dof.ca.gov/research/demographic/reports/estimates/e-5/2011-20/view.php

U.S. Census Bureau: Summary File 1 2010 http://factfinder2.census.gov

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) Vehicle miles traveled reflects the mileage accrued within the county and not necessarily the residents of that county; even though most trips are due to local residents, additional VMT can be accrued by through-trips. City data was thus discarded due to this limitation and the analysis only examine county and regional data, where through-trips are generally less common.

The metropolitan area comparison was performed by summing all of the urbanized areas within each metropolitan area (9-nine region for the San Francisco Bay Area and the primary MSA for all others). For the metro analysis, no VMT data is available outside of other urbanized areas; it is only available for intraregional analysis purposes.

VMT per capita is calculated by dividing VMT by an estimate of the traveling population. The traveling population does not include people living in institutionalized facilities, which are defined by the Census. Because institutionalized population is not estimated each year, the proportion of people living in institutionalized facilities from the 2010 Census was applied to the total population estimates for all years.

The Oakland Police Department provides crime data to the public through the City of Oakland's Crime Watch web site. This site presents the data in a geographic format, which allows users of the information to produce maps and/or reports.

The file that you are about to electronically download, copy, or otherwise retrieve by other means is a tabular representation of the same data without maps or reporting capabilities. Be advised that the exact address of each crime has been substituted with the block address to protect the privacy of the victim.

Please note: This Crime data are captured from reports filed with the police Department. There may be delays in data due to data processing, incident reporting or maybe technical in nature. Please allow up to 90 days from the end of each month for the data to be completely processed. For example, if you want to retrieve the full data set for the month of March, you will need to generate your report on or after June 30th. (A full 90 days after March 31st)

This dashboard displays the number of clients, both adult and child, involved in a completed CPI investigation during a given fiscal year. It does not include those involved in Alternative Response or those involved in an administratively closed investigation.

This dashboard addressed Texas Family Code Section 264.017.(b)(3).

More information at www.dfps.texas.gov

This data represents all information concerning valves maintained by the Water Resources department.

<div style="text-align:left;"><div style><p style><span style="font-size:12pt;">Polygons representing drainage circuits which are a grouping of storm drainage network features in unincorporated Pierce County, used by Public Works for administration and reporting. Please read metadata (</span><a href="https://matterhorn.piercecountywa.gov/GISmetadata/pdbpubw_swcircuit.html" target="_blank">https://matterhorn.piercecountywa.gov/GISmetadata/pdbpubw_swcircuit.html</a><span style="font-size:12pt;">) for additional information. Any data download constitutes acceptance of the Terms of Use (</span><a href="https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf" target="_blank">https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf</a><span style="font-size:12pt;">).</span></p></div></div>

Agriculture has guided Pennsylvania's economic growth and cultural development and has profoundly shaped the lands and people of the Commonwealth. The 1850 Federal Decennial Census was the first time in history that data was collected on agricultural production at a national scale. The census manuscripts for Pennsylvania were digitized by PHMC from the original documents in the collections of the National Archives and Records Administration. This dataset includes agricultural production data compiled from Schedule 4 - Productions of Agriculture of the 1850 census and aggregated at the county and municipality level. The visualization combines a timeless practice with the latest advancements in technology. The interactive map of Pennsylvania depicting the value of farms and amounts of livestock provides users with a glimpse into agricultural life in 1850.

This data set includes all active business license information found registered in the Town of Dumfries as of March 1, 2021. This data will be updated yearly in March.

This was one single topic among many from Part 2 of the March 2017 Mixed Topic survey. To view the survey questions, click on the following link:

https://www.edmontoninsightcommunity.ca/R.aspx?a=1623&as=9jF1MQ27Rm&t=1

Open from March 21 - 28, 2017.

At the time the survey was launched survey invitations were sent to 6705 Insight Community Members. 1748 members completed the survey which represents a completion rate of 26%. A total of 1758 respondents completed the survey: 1748 Insight Community Members and 10 using the anonymous link(s) which will have no demographic info.

Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

Data set containing information on the facilities licensed by DMV in accordance with Vehicle and Traffic Law.

Available State-wide annual daily inventories of air pollutant emissions (PM25) are summarized in this data set. Full annual inventories are collected ever three years.

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains American Community Survey 5-Year Estimates. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains American Community Survey 5-Year Estimates. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains American Community Survey 5-Year Estimates. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains American Community Survey 5-Year Estimates. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains American Community Survey 5-Year Estimates. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

This dataset contains variables from Data Profile 5 (DP05). Topics include: sex and age, race, ethnicity, and housing units all at the State, County, and Census Tract level for each Tract in the County.

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains American Community Survey 5-Year Estimates. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

This Indicator measures the rate of use of force on subjects per 100,000 people in Oakland by race/ethnicity. Note: There were 10 incidents of use of force that were on a crowd. For these incidents, the number and race/ethnicity of subjects were not available. Therefore, each was counted as one incident in the Citywide total. This will somewhat undercount the true total of people subjected to use of force and will potentially misrepresent the true racial and ethnic breakdown as well.

Report to the Appropriations Committee of the United States House of Representatives in Response to Conference Committee Report to PL 110-186. In an effort to provide a snapshot of the quality of care provided at VA health care facilities, this report includes information about waiting times, staffing level, infection rates, surgical volumes, quality measures, patient satisfaction, service availability and complexity, accreditation status, and patient safety. The data in this report have been drawn from multiple sources across VHA. This dataset defines if the facility has met the Joint Commission Patient Safety Standards and in which year they were surveyed.

This was one single topic among many, from the March 2018 Mixed Topic survey. To view the survey questions, click on the following link:

https://www.edmontoninsightcommunity.ca/c/a/5WM7loCI0KkDUZuGrPnJ7d?t=1

Open from March 20-27, 2018.

At the time the survey was launched survey invitations were sent to 7,507 Insight Community Members. 2,169 members completed the survey which represents a completion rate of 29%. A total of 2,180 respondents completed the survey: 2,169 Insight Community Members and 3 from the call to action button on our webpage and 8 using the anonymous link(s) on edmonton.ca/surveys which will have no demographic information.

Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains American Community Survey 1-Year Estimates. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains American Community Survey 1-Year Estimates. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains American Community Survey 1-Year Estimates. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

Rate of deaths by age/sex (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.

Updated on April 28, 2025, to comply with the President’s Executive Order 14168.

Rate of deaths by age/sex (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.

Updated on April 28, 2025, to comply with the President’s Executive Order 14168.

This dataset includes monthly data for the following fields: fire, automobile accidents, emergency services (EMS), hazardous condition, other responses, alarms, inspections, inter-facility transfers, intra-facility transfers, mutual given, and mutual aid received.

Click “Export” on the right to download the vehicle trajectory data. The associated metadata and additional data can be downloaded below under "Attachments".

Researchers for the Next Generation Simulation (NGSIM) program collected detailed vehicle trajectory data on southbound US 101 and Lankershim Boulevard in Los Angeles, CA, eastbound I-80 in Emeryville, CA and Peachtree Street in Atlanta, Georgia. Data was collected through a network of synchronized digital video cameras. NGVIDEO, a customized software application developed for the NGSIM program, transcribed the vehicle trajectory data from the video. This vehicle trajectory data provided the precise location of each vehicle within the study area every one-tenth of a second, resulting in detailed lane positions and locations relative to other vehicles. Click the "Show More" button below to find additional contextual data and metadata for this dataset.

For site-specific NGSIM video file datasets, please see the following:

• NGSIM I-80 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-I-80-Vide/2577-gpny
• NGSIM US-101 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-US-101-Vi/4qzi-thur
• NGSIM Lankershim Boulevard Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Lankershi/uv3e-y54k
• NGSIM Peachtree Street Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Peachtree/mupt-aksf

The disposition data presented in this data reflects the culmination of the fact-finding process that leads to the resolution of a case. Included in this data set are the defendant counts by disposition and year.

A three month average of the City of Corona's Fire Department/Special Operations response time. Data is pulled directly from the Fire Department record management system. This system is updated real-time by dispatch and file personnel in the field. Update Frequency: Daily Data Disclaimer: The City Of Corona (“Corona”) provides data available on this website as a service to the public. The data provided by Corona is based on historical data, information directly provided by Corona, information directly provided by Corona contractors and in some cases, information acquired during physical inspections. Corona does not guarantee the accuracy of this data and assumes no liability for any errors. The data shall be used for the sole purpose of providing the public with information regarding this program and not for any commercial, legal or other use. Corona assumes no liability for any decisions made or action taken or not taken by anyone using data provided from this website. Corona reserves the right to alter, amend or terminate at any time the display of this data.

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains American Community Survey 5-Year Estimates. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

This dataset contains variables from Data Profile 2. Topics include: households by type, relationship, marital status, fertility, grandparents, school enrollment, educational attainment, veteran status, disability status, residence, place of birth, language spoken at home, ancestry, computer access, and internet use, all at the Census Tract level for the entire County.

Building Permits - January 1, 2005 thru March 31, 2019

This was one single topic among many from Part 1 of the March 2017 Mixed Topic survey. To view the survey questions, click on the following link:

https://www.edmontoninsightcommunity.ca/R.aspx?a=1583&as=y9uZ0LU45H&t=1

Open from March 14 - 21, 2017.

At the time the survey was launched survey invitations were sent to 6696 Insight Community Members. 1850 members completed the survey which represents a completion rate of 28%. A total of 1869 respondents completed the survey: 1850 Insight Community Members and 19 using the anonymous link(s) which will have no demographic info.

Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

This was one single topic among many, from the March 2018 Mixed Topic survey. To view the survey questions, click on the following link:

https://www.edmontoninsightcommunity.ca/c/a/5WM7loCI0KkDUZuGrPnJ7d?t=1

Open from March 20-27, 2018.

At the time the survey was launched survey invitations were sent to 7,507 Insight Community Members. 2,169 members completed the survey which represents a completion rate of 29%. A total of 2,180 respondents completed the survey: 2,169 Insight Community Members and 3 from the call to action button on our webpage and 8 using the anonymous link(s) on edmonton.ca/surveys which will have no demographic information.

Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

This was one single topic among many, from the March 2018 Mixed Topic survey. To view the survey questions, click on the following link:

https://www.edmontoninsightcommunity.ca/c/a/5WM7loCI0KkDUZuGrPnJ7d?t=1

Open from March 20-27, 2018.

At the time the survey was launched survey invitations were sent to 7,507 Insight Community Members. 2,169 members completed the survey which represents a completion rate of 29%. A total of 2,180 respondents completed the survey: 2,169 Insight Community Members and 3 from the call to action button on our webpage and 8 using the anonymous link(s) on edmonton.ca/surveys which will have no demographic information.

Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

This was one single topic among many from Part 2 of the March 2017 Mixed Topic survey. To view the survey questions, click on the following link:

https://www.edmontoninsightcommunity.ca/R.aspx?a=1623&as=9jF1MQ27Rm&t=1

Open from March 21 - 28, 2017.

At the time the survey was launched survey invitations were sent to 6705 Insight Community Members. 1748 members completed the survey which represents a completion rate of 26%. A total of 1758 respondents completed the survey: 1748 Insight Community Members and 10 using the anonymous link(s) which will have no demographic info.

Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

This was one single topic among many from Part 1 of the March 2017 Mixed Topic survey. To view the survey questions, click on the following link:

https://www.edmontoninsightcommunity.ca/R.aspx?a=1583&as=y9uZ0LU45H&t=1

Open from March 14 - 21, 2017.

At the time the survey was launched survey invitations were sent to 6696 Insight Community Members. 1850 members completed the survey which represents a completion rate of 28%. A total of 1869 respondents completed the survey: 1850 Insight Community Members and 19 using the anonymous link(s) which will have no demographic info.

Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

This was one single topic among many from Part 1 of the March 2017 Mixed Topic survey. To view the survey questions, click on the following link:

https://www.edmontoninsightcommunity.ca/R.aspx?a=1583&as=y9uZ0LU45H&t=1

Open from March 14 - 21, 2017.

At the time the survey was launched survey invitations were sent to 6696 Insight Community Members. 1850 members completed the survey which represents a completion rate of 28%. A total of 1869 respondents completed the survey: 1850 Insight Community Members and 19 using the anonymous link(s) which will have no demographic info.

Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

This was one single topic among many, from the March 2018 Mixed Topic survey. To view the survey questions, click on the following link:

https://www.edmontoninsightcommunity.ca/c/a/5WM7loCI0KkDUZuGrPnJ7d?t=1

Open from March 20-27, 2018.

At the time the survey was launched survey invitations were sent to 7,507 Insight Community Members. 2,169 members completed the survey which represents a completion rate of 29%. A total of 2,180 respondents completed the survey: 2,169 Insight Community Members and 3 from the call to action button on our webpage and 8 using the anonymous link(s) on edmonton.ca/surveys which will have no demographic information.

Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).

Crash data shows information about each traffic crash on city streets within the City of Chicago limits and under the jurisdiction of Chicago Police Department (CPD). Data are shown as is from the electronic crash reporting system (E-Crash) at CPD, excluding any personally identifiable information. Records are added to the data portal when a crash report is finalized or when amendments are made to an existing report in E-Crash. Data from E-Crash are available for some police districts in 2015, but citywide data are not available until September 2017. About half of all crash reports, mostly minor crashes, are self-reported at the police district by the driver(s) involved and the other half are recorded at the scene by the police officer responding to the crash. Many of the crash parameters, including street condition data, weather condition, and posted speed limits, are recorded by the reporting officer based on best available information at the time, but many of these may disagree with posted information or other assessments on road conditions. If any new or updated information on a crash is received, the reporting officer may amend the crash report at a later time. A traffic crash within the city limits for which CPD is not the responding police agency, typically crashes on interstate highways, freeway ramps, and on local roads along the City boundary, are excluded from this dataset.

All crashes are recorded as per the format specified in the Traffic Crash Report, SR1050, of the Illinois Department of Transportation. The crash data published on the Chicago data portal mostly follows the data elements in SR1050 form. The current version of the SR1050 instructions manual with detailed information on each data elements is available here.

As per Illinois statute, only crashes with a property damage value of $1,500 or more or involving bodily injury to any person(s) and that happen on a public roadway and that involve at least one moving vehicle, except bike dooring, are considered reportable crashes. However, CPD records every reported traffic crash event, regardless of the statute of limitations, and hence any formal Chicago crash dataset released by Illinois Department of Transportation may not include all the crashes listed here.

Change 11/21/2023: We have removed the RD_NO (Chicago Police Department report number) for privacy reasons.

This dataset displays Violent & Property Crimes that have taken place in the City of Little Rock. These are part 1 crimes which are reported to FBI. These numbers are subject to change due to reclassifying. Addressing is not provided on Rapes or associated items for victim privacy.

This dataset displays Violent & Property Crimes that have taken place in the City of Little Rock. These are part 1 crimes which are reported to FBI. These numbers are subject to change due to reclassifying. Addressing is not provided on Rapes or associated items for victim privacy.

A list by county of New York State Title V facilities and the air pollutants emitted from those facilities.

This dataset contains the Actuarial Liabilities, Actuarial Value of Assets, Unfunded Liabilities, and Funding Ratios for each Local Contracting Agency.

Weekly updates have finished with the June 28th update. This dataset contains aggregate data by zip code of residence and by ethnicity for individuals that received a COVID vaccination. Data includes counts of individuals who received a vaccine dose that provides partial coverage against the disease and counts of individuals that received a vaccine dose that provides full coverage against the disease. Suppression applies for quantities less than 5. Data only includes information reported to PA-SIIS, the Pennsylvania Statewide Immunization Information System. Effective 7/9/2021, the COVID-19 Vaccine Dashboard is updated to more accurately reflect the number of people who are partially and fully vaccinated in each county outside of Philadelphia, along with the demographics of those receiving vaccine. For state-to-state comparisons refer to the CDC vaccine data tracker located here: https://covid.cdc.gov/covid-data-tracker/#county-view

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains Bureau of Labor Statistics data. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

Weekly updates have finished with the June 28th update. This dataset contains aggregate data by zip code of residence and by race for individuals that received a COVID vaccination. Data includes counts of individuals who received a vaccine dose that provides partial coverage against the disease and counts of individuals that received a vaccine dose that provides full coverage against the disease. Suppression applies for quantities less than 5. Effective 7/9/2021, the COVID-19 Vaccine Dashboard is updated to more accurately reflect the number of people who are partially and fully vaccinated in each county outside of Philadelphia, along with the demographics of those receiving vaccine. For state-to-state comparisons refer to the CDC vaccine data tracker located here: https://covid.cdc.gov/covid-data-tracker/#county-view

Data only includes information reported to PA-SIIS, the Pennsylvania Statewide Immunization Information System.

Weekly updates have finished with the June 28th update. This dataset contains aggregate data by zip code of residence and by gender for individuals that received a COVID vaccination. Data includes counts of individuals who received a vaccine dose that provides partial coverage against the disease and counts of individuals that received a vaccine dose that provides full coverage against the disease. Suppression applies for quantities less than 5. Effective 7/9/2021, the COVID-19 Vaccine Dashboard is updated to more accurately reflect the number of people who are partially and fully vaccinated in each county outside of Philadelphia, along with the demographics of those receiving vaccine. For state-to-state comparisons refer to the CDC vaccine data tracker located here: https://covid.cdc.gov/covid-data-tracker/#county-view

Data only includes information reported to PA-SIIS, the Pennsylvania Statewide Immunization Information System.

DO NOT EDIT THIS DATASET. This dataset, which is automatically updated contains Bureau of Labor Statistics data. This dataset is updated by a Socrata process; please contact support@socrata.com if you encounter any questions or issues.

Weekly updates have finished with the June 28th update. This dataset contains aggregate data of COVID vaccines administered to citizens based on zip code of residence. Data includes counts of individuals who received a vaccine dose that provides partial coverage against the disease and counts of individuals that received a vaccine dose that provides full coverage against the disease. Suppression applies for quantities less than 5. Data only includes information reported to PA-SIIS, the Pennsylvania Statewide Immunization Information System. Effective 7/9/2021, the COVID-19 Vaccine Dashboard is updated to more accurately reflect the number of people who are partially and fully vaccinated in each county outside of Philadelphia, along with the demographics of those receiving vaccine. For state-to-state comparisons refer to the CDC vaccine data tracker located here: https://covid.cdc.gov/covid-data-tracker/#county-view

Weekly updates have finished with the June 28th update. This dataset contains aggregate data by zip code of residence for the age groups of individuals that received a COVID vaccination. Data includes counts of individuals who received a vaccine dose that provides partial coverage against the disease and counts of individuals that received a vaccine dose that provides full coverage against the disease. Age groups are presented in 5-year brackets. Suppression applies for quantities less than 5 and records under review. Data only includes information reported to PA-SIIS, the Pennsylvania Statewide Immunization Information System. Effective 7/9/2021, the COVID-19 Vaccine Dashboard is updated to more accurately reflect the number of people who are partially and fully vaccinated in each county outside of Philadelphia, along with the demographics of those receiving vaccine. For state-to-state comparisons refer to the CDC vaccine data tracker located here: https://covid.cdc.gov/covid-data-tracker/#county-view

Safety Codes enforcement data for infill

Aid to education provided by the New York Lottery by fiscal year, by county, by school district

This dataset contains daily count of incidents responded by incident type.

Notice of Names of Persons Appearing to be Owners of Checks Issued by the City of Framingham, Which Have Not Been Cashed and are Deemed Abandoned.

If your name appears on this list you can submit a claim by contacting the City of Framingham Treasurer/Collector’s office.

A winter storm warning provides NOAA customers and partners advanced notice of a hazardous winter weather event that endangers life or property or provides an impediment to commerce. Winter storm warnings are issued for winter weather phenomena like blizzards, ice storms, heavy sleet, and heavy snow. This performance indicator measures the accuracy of winter storm events. Improving the accuracy and advance warnings of winter storms enables the public to take the necessary steps to prepare for disruptive winter weather conditions.

This dataset is based on solar interconnection data drawn from the publicly posted inventories of New York State’s electric utilities. This dataset represents the most comprehensive source of installed distributed solar projects, including projects that did not receive State funding, for all of New York State since 2000. This dataset does not include utility-scale projects that participate in the NYISO wholesale market.

The interactive map at https://www.nyserda.ny.gov/All-Programs/Programs/NY-Sun/Solar-Data-Maps/Statewide-Projects provides information on Statewide Distributed Solar Projects since 2000 by county.

The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

View full metadata https://www.cambridgema.gov/GIS/gisdatadictionary/Recreation/RECREATION_OpenSpace

Description This polygon layer contains open space areas within the City of Cambridge. These areas include publicly accessible land that is intended for active or passive recreational use, along with other undeveloped land of natural, scenic, or cultural value. Created for planning purposes, mapping, analysis, and public information.

About Edit Dates This data is automatically updated on a set schedule. The Socrata edit date may not reflect the actual edit dates in the data. For more details please see the update date on the full metadata page or view the edit date within the data rows.

Dataset highlighting traffic citations issued Albany PD Officers for the past year to date

The Department of Taxation and Finance annually produces a mandated report of taxpayers claiming Brownfield Credits to help analyze the effects of the program. Chapter 390 of the Laws of 2008 created Section 171-r of the Tax Law that requires the Tax Department to produce a Brownfield Credit Report by January 31st of each year. Additionally, Part BB of Chapter 56 of the Laws of 2015 amends Section 171-r to require the Tax Department to produce a supplemental Brownfield Credit Report by January 31, 2016 containing the credits claimed for the years 2005, 2006, and 2007. The mandates require the Department to include the name of each taxpayer claiming the brownfield redevelopment tax credit, the remediated brownfield credit for real property taxes, or the environmental remediation credit, the amount of credit earned, and information identifying the brownfield project generating the credit. The Tax Department is also authorized to include any other information that it deems useful in analyzing the effects of the program.

Number of domestic violence offenses per 1,000 residents. Domestic violence includes any violence of one family member against another family member. Family can include spouses, former spouses, parents who have children in common regardless of marital status, adults who live in the same household, as well as parents and their children. Many offenses occur without arresting perpetrators.

Data is available from: https://www.dshs.wa.gov/ffa/research-and-data-analysis/county-and-state

Jail days reduced by Assigned Counsel's release plans and mitigation efforts.

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Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014. Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories

Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2014 national data: National Occupant Protection Use Survey (NOPUS), 2014. Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 state data: Seat Belt Use in 2014- Use Rates in the States and Territories

This is a historical record of rain accumulated at various rain gauges throughout the City during the rain season, which typically runs from May 1- Sep 30. Readings are taken at 5 minute intervals, and updated daily. This data is QA/QC'd on an annual basis at the end of the calendar year at which time some adjustments may be made to the data. Users should keep in mind that data viewed before March 31 of the following year should be considered in a ‘raw’ state and may be subject to change. For current year, raw rainfall readings see Current Year Rainfall

COVID risk level , daily new cases, daily new cases per 100k, and rank for US counties

The City of Calgary is broken down into 8 Districts. These districts are a geographical representation which help centralize police offices within the communities to ensure quick response to community needs. Each District has a district office. These districts can be used to calculate information submitted by investigators on criminal activity. The crime statistics can be used to develop crime prevention strategies. Location of Calgary Police Service headquarters, district offices, and community stations.

The Naming Committee approves names for municipal facilities, new neighbourhoods, parks and roads. Matthew Dance, a local geographer and open data advocate, created this dataset in conjunction with the City of Edmonton.

Indigenous people have lived in the Edmonton area for more than 10,000 years. Edmonton currently has an urban Indigenous population of over 50,000, the second-largest in Canada, and it is growing quickly. Reflecting this rich past and large population are over 100 place names in Edmonton with Indigenous roots. Many of the names are familiar, but not automatically associated with their Cree or Métis origins. This data set allows users to explore Edmonton by learning the Indigenous source of many of the place names found in our city, including streets, parks, neighbourhoods, walkways and more.

A listing of all certified plant dealers which are licensed by the Department of Agriculture and Markets. Licensing of plant dealers is intended to prevent the introduction of injurious insects, noxious weeds, and plant diseases into the state.

This dataset includes all San Diego County accidental deaths, homicides, suicides, in-custody deaths, and a very small percentage of sudden or unexpected natural deaths in which the decedent had not seen a health care provider in the last 20 days of life.

Inspections, compliance, and enforcement activity as recorded by By-law Enforcement Officers.

List of Marin County checks that have been issued and distributed, but which remain uncashed 6 months after their issue date ("stale" checks). List excludes checks that are considered confidential and exempt from disclosure. This information is updated monthly.

In accordance with Government Code §29802, uncashed County checks are void and become stale after 6 months. Uncashed County checks that are lost or destroyed may be reissued up to 2 years from the stale date (2 years and 6 months from the date of issuance) when a valid Affidavit is filed certifying the loss or destruction, and after a review of records indicates the check was not previously reissued. An uncashed, stale County check that is more than 2 years and 6 months old may be reissued only upon receipt of the original check, and if a review of records indicates the check was not previously reissued.

If your check has been lost/destroyed or stale-dated, please fill out this form and follow the included instructions to obtain a replacement check:

Affidavit to Obtain Reissue of Lost or Destroyed Check.pdf

Ratio: Percent of tuberculosis cases for which HIV status is known among all cases alive at diagnosis.

Definition: Percent of tuberculosis cases alive at diagnosis for which HIV status is known.

Data Source: Tuberculosis Information Management System, Tuberculosis Control Program, New Jersey Department of Health Division of HIV, STD, and TB Services

Top 50 Intersection and Midblock Collision Locations

This dataset contains information on customer feedback submitted by riders of the transit system on the MTA’s website. For each piece of feedback provided, it is categorized as a complaint or commendation, and there is information provided for the agency (Buses, Subway, Long Island Rail Road, or Metro-North Railroad), the subject matter, the subject detail, the issue detail, the year, the quarter, and, if applicable, the branch/line/route.