WPRDC Wiki - User contributions [en]

DASH Guide:Home Ownership

2022-12-22T18:20:17Z

Rossr:

''This guide is just part of a larger [[DASH Data Guide]].''

Home ownership provides a number of financial, social, and health benefits to American families. Especially in areas with housing price appreciation, home ownership is a wealth building mechanism and homeowners are also eligible to receive substantial federal and local tax benefits. Owning a home also provides families with increased residential stability, which can translate into improved school performance for children. The financial stake owners have in their neighborhood also is viewed as something that spurs them to become more-engaged in their community, and there is some research that has found that home ownership also can translate to improved health. The National Association of Realtors has compiled a [https://www.nar.realtor/sites/default/files/social-benefits-of-stable-housing-2012-04.pdf summary of research] related to the benefits of home ownership.

Several different datasets can be used to measure homeownership in Allegheny County. Data is available from the U.S. Census Bureau that measures homeownership at the Census Tract level, and can be used to compare communities in Allegheny County to others in the U.S. Administrative data from Allegheny County’s Office of Property Assessment can also be used to look at the homeownership status of individual residential properties.

=== What's Included in the Data ===

===== Publicly Available =====

* Number of owner-occupied housing units
* Number of total occupied housing units
* Parcels with a homestead exemption
* Property owner's address

=== Where to Find the Data ===

* [https://data.wprdc.org/dataset/allegheny-county-homewonership-and-rentals Open Data on the Western Pennsylvania Regional Data Center's Website]
* U.S. Census Bureau Decennial Census data and American Community Survey can be found on the U.S. Census Bureau's [https://data.census.gov/ data platform], or Southwestern Pennsylvania Community Profiles.
* The [https://data.wprdc.org/dataset/property-assessments Western Pennsylvania Regional Data Center's Open Data Portal] contains data from Allegheny County's Property Assessment database.
* A subset of the full assessment data file can also be downloaded on the Regional Data Center's [http://tools.wprdc.org/parcels-n-at/ parcels n'at data downloading tool].
* Homeownership data can also be viewed parcel by parcel on the Regional Data Center's [http://tools.wprdc.org/property-dashboard/ Property Dashboard].

=== Things to Know ===
There are several things data users should know about each available data source in order to use it to better-understand homeownership in Allegheny County.

* If using Census Tract home ownership data from the U.S. Census Bureau, it largely will come from one of two programs - either the Decennial Census or the American Community Survey. Data from the Decennial Census is an actual count collected once every ten years.
* Data from the U.S. Census Bureau's American Community Survey at Census Tract geographies is based on a survey sent to a sample, or subset of the population. Because the sample size is fairly small, data collected over a five-year period are combined and presented as "five year" data. Users of the American Community Survey should exercise caution when using and communicating with this data. The Census Bureau provides [https://www.census.gov/programs-surveys/acs/guidance.html guidance for data users on its website].
* Parcel level data on ownership is available through the Allegheny County Office of Property Assessment. By looking at properties with a homestead exemption and by comparing the property address with the owner's address, data users can get an up to date and comprehensive picture of home ownership in the County. Details for using the property assessment data in this way are available in the Regional Data Center's [https://wiki.tessercat.net/wiki/Allegheny_County_Property_Assessment_Data_User_Guide Allegheny County Property Assessment User Guide].

DASH Guide:Home Ownership

2022-12-22T18:19:34Z

Rossr:

''This guide is just part of a larger [[DASH Data Guide]].''

Home ownership provides a number of financial, social, and health benefits to American families. Especially in areas with housing price appreciation, home ownership is a wealth building mechanism and homeowners are also eligible to receive substantial federal and local tax benefits. Owning a home also provides families with increased residential stability, which can translate into improved school performance for children. The financial stake owners have in their neighborhood also is viewed as something that spurs them to become more-engaged in their community, and there is some research that has found that home ownership also can translate to improved health. The National Association of Realtors has compiled a [https://www.nar.realtor/sites/default/files/social-benefits-of-stable-housing-2012-04.pdf summary of research] related to the benefits of home ownership.

Several different datasets can be used to measure homeownership in Allegheny County. Data is available from the U.S. Census Bureau that measures homeownership at the Census Tract level, and can be used to compare communities in Allegheny County to others in the U.S. Administrative data from Allegheny County’s Office of Property Assessment can also be used to look at the homeownership status of individual residential properties.

=== What's Included in the Data ===

===== Publicly Available =====

* Number of owner-occupied housing units
* Number of total occupied housing units
* Parcels with a homestead exemption
* Property owner's address

=== Where to Find the Data ===

* [https://data.wprdc.org/dataset/allegheny-county-homewonership-and-rentals Open Data on the Western Pennsylvania Regional Data Center's Website]
* U.S. Census Bureau Decennial Census data and American Community Survey can be found on the U.S. Census Bureau's [https://data.census.gov/ data platform], or Southwestern Pennsylvania Community Profiles.
* The [https://data.wprdc.org/dataset/property-assessments Western Pennsylvania Regional Data Center's Open Data Portal] contains data from Allegheny County's Property Assessment database.
* A subset of the full assessment data file can also be downloaded on the Regional Data Center's [http://tools.wprdc.org/parcels-n-at/ parcels n'at data downloading tool].
* Homeownership data can also be viewed parcel by parcel on the Regional Data Center's [http://tools.wprdc.org/property-dashboard/ Property Dashboard].

=== Things to Know ===
There are several things data users should know about each available data source in order to use it to better-understand homeownership in Allegheny County.

* If using Census Tract home ownership data from the U.S. Census Bureau, it largely will come from one of two programs - either the Decennial Census or the American Community Survey. Data from the Decennial Census is an actual count collected once every ten years.
* Data from the U.S. Census Bureau's American Community Survey at Census Tract geographies is based on a survey sent to a sample, or subset of the population. Because the sample size is fairly small, data collected over a five-year period are combined and presented as "five year" data. Users of the American Community Survey should exercise caution when using and communicating with this data. The Census Bureau provides [https://www.census.gov/programs-surveys/acs/guidance.html guidance for data users on its website].
* Parcel level data on ownership is available through the Allegheny County Office of Property Assessment. By looking at properties with a homestead exemption and by comparing the property address with the owner's address, data users can get an up to date and comprehensive picture of home ownership in the County. Details for using the property assessment data in this way are available in the Regional Data Center's [https://data.wprdc.org/dataset/property-assessments/resource/1499b924-8dcc-4904-9715-c6b110b13710 Allegheny County Property Assessment User Guide].

DASH Data Guide

2022-12-22T17:54:48Z

Rossr: /* Vacant Property */

The data in this guide has been assembled and made available for public use as part of the Allegheny County Data Across Sectors for Health (DASH) project. This local DASH project is supported by the Robert Wood Johnson Foundation as part of their national initiative aiming to develop, implement, and evaluate multi-sector data sharing projects addressing a range of public health challenges. As part of this collaboration the Allegheny County Health Department has collected social determinants data from multiple sources in an attempt to improve the cardiovascular health of 1.2 million residents in the county. This data available through DASH not only relates to cardiovascular disease, but a wide variety of issues impacting public health, including human services, economic development, healthcare, and transportation. The lead agency for the DASH project, the Allegheny County Health Department and project partners have agreed to share these datasets publicly as open data. Community members and organizations are free use this data in a number of ways, including supporting the development of personal and organizational projects, conducting research, and fundraising.

Beyond making information more available and accessible, The Health Department and project partners are using these datasets to create a predictive model of cardiovascular disease in Allegheny County. The Public Health Dynamics Laboratory from the University of Pittsburgh has developed the Framework for Reconstructing Epidemic Dynamics (FRED) predictive model to predict infectious disease. FRED has now been modified to model chronic disease throughout the county and predict the effectiveness of possible interventions through the DASH project. Intervention plans will then be developed and information disseminated by the project partners, who are part of the larger Health Department advisory coalition comprised of over 75 partner organizations. The Health Department would like to thank all the DASH partners who have provided the majority of the data for this project, contributed technical expertise, given local and industry perspectives, and made the sharing of this data possible.

== Indicator Selection Process ==

The datasets provided in this Data Across Sectors for Health (DASH) data guide can provide supporting research to address a range of public health challenges. A dataset added to the DASH data warehouse if it has a potential connection to Cardiovascular Disease (CVD). Cardiovascular disease was chosen as the topic of research for this project because it is the leading cause of death in Allegheny County. This topic was also chosen due to the disparities that persist by race and gender in the County.

Determining what topics and measurements may predict or have a connection to cardiovascular disease was a two step process spanning a six month period from January to July, 2016. The initial list of risk variables was compiled by staff working at Allegheny County’s Department of Human Services and Health Department. These staff relied on research to identify six major contributors to heart disease, which include obesity, physical inactivity, tobacco use, abnormal blood lipid levels, hypertension, and type II diabetes. Staff involved in the selection process used these risk factors to identify candidate datasets, excluding data lacking a proxy for measurement and data that was not accessible or reliable.

When the initial list of desired datasets was created, the DASH project was in the process of holding its first monthly meetings with project stakeholders. At the monthly meetings the candidate datasets and selection justification was presented to the project stakeholders. Their feedback on this information shaped the final selection of measures. The stakeholders led the project team to include data describing several more important factors risk factors such as stress proxy and food security indicators. Once finalized, the Allegheny County Health Department began to collect data appearing in this guide from many different sources.

== Dataset-specific guides ==

=== Anxiety and Depression Medication ===
[[DASH Guide:Anxiety Medication]]

These datasets described here provide de-identified diagnosis data for customers (medicare, medicaid, individual, and corporate) of three managed care organizations in Allegheny County (Gateway Health Plan, Highmark Health, and UPMC) that have filed a claim for anxiety or depression medications in 2015. The data also includes the number of enrolled members in the three participating managed care organizations in 2015.

The anxiety and depression datasets were requested after the initial data list had been collected because members of the DASH Partnership wanted to explore the relationship between anxiety and depression with cardiovascular disease following receipt of the cardiovascular disease data. There is evidence that depression is a risk factor for cardiovascular disease.<ref>https://www.heartfoundation.org.au/images/uploads/publications/Beyondblue_depression_CHD.pdf</ref>

=== Cardiovascular Disease Co-Morbidity ===
[[DASH Guide:Cardiovascular Disease Co-morbidity]]

These datasets provide de-identified co-morbidity diagnosis data for diabetes, hypertension, and hyperlipidemia. The data is provided by three managed care organizations in Allegheny County (Gateway Health Plan, Highmark Health, and UPMC) and represents their insured population (medicare, medicaid, individual, and corporate) for the 2015 calendar year. This data will soon be available as open data through the Regional Data Center

=== Clean indoor Act Exemptions ===
[[DASH Guide:Clean Indoor Act Exemptions]]

List and location of all the businesses and social clubs who have received an exemption from the Pennsylvania Clean Indoor Air Act.

=== Diabetes Hospitalizations ===
[[DASH Guide:Diabetes Hospitalization]]

This data includes the number of people hospitalized with diabetes between 2013-2015, by age group, for Allegheny County Zip Codes. The information was produced by Pennsylvania Health Care Cost Containment Council (PHC4) for 2013-2015.

=== Environmental Justice Areas ===
[[DASH Guide:Environmental Justice Areas]]

Environmental Justice areas in this guide have been defined by the Pennsylvania Department of Environmental Protection. The Department defines an environmental justice area as any census tract where at least 20 percent of the population lives in poverty, and/or 30 percent or more of the population is minority.

=== Fast Food Establishments ===
[[DASH Guide:Fast Food Establishments]]

The Allegheny County Health Department has generated this list of fast food restaurants by exporting all chain restaurants without an alcohol permit from the County’s Fee and Permit System.

=== Greenways ===
[[DASH Guide:Greenways]]

Greenway data was compiled by the Allegheny Land Trust as a planning effort in the development of Allegheny Places, the Allegheny County Comprehensive Plan. The Pennsylvania Department of Conservation and Natural Resources defines a greenway as "A corridor of open space." Greenways vary greatly in size, may include public and private property, and can include land and water areas.

=== Health Care Facilities ===
[[DASH Guide:Health Care Facility]]

The data on health care facilities includes the name and location of all the hospitals and primary care facilities in Allegheny County. The current listing of hospitals and primary care facilities is managed by the Allegheny County Health Department and is used in internal reporting and shared for public use.

=== Home Ownership ===
[[DASH Guide:Home Ownership]]

Home ownership provides a number of financial, social, and health benefits to American families. Especially in areas with housing price appreciation, home ownership is a wealth building mechanism and home owners are also eligible to receive substantial federal and local tax benefits. Owning a home also provides families with increased residential stability, which can translate into improved school performance for children. The financial stake owners have in their neighborhood also is viewed as something that spurs them to become more-engaged in their community, and there is some research that has found that home ownership also can translate to improved health.

=== Homicides ===
[[DASH Guide:Homicides]]

Homicide data was provided by the Allegheny Department of Human Services for the years 2002-2014. Human Services received the original data from the Allegheny County Medical Examiner.

=== Hypertension Hospitalization ===
[[DASH Guide:Hypertension Hospitalization]]

This data provides hypertension prevalence data for each Zip Code in Allegheny County. The information was produced by Pennsylvania Health Care Cost Containment Council (PHC4) for 2013-2015.

=== Illegal Dump Sites ===
[[DASH Guide:Illegal Dump Sites]]

The Illegal Dump Site dataset includes information on illegal dumpsites, their type of trash, and the estimate tons of trash at each site. The information was provided by Allegheny Cleanways, and collected as part of a 2005 survey in Allegheny County.

=== Median Age at Death ===
[[DASH Guide:Median Age at Death]]

The median age at death is calculated for each municipality in Allegheny County for 2011-2015. Data is based on the decedent's residence at the time of death, not the location where the death occurred.

=== Obesity Rates ===
[[DASH Guide:Obesity Rates]]

Obesity estimates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the United States.” The data is not explicitly based on population surveys or data collection conducted in Allegheny County, but rather estimated using statistical modeling techniques.

=== Older Housing (Built Before 1950) ===
[[DASH Guide:Older Housing (Built Before 1950)]]

Older housing can impact the quality of the occupant's health in a number of ways, including lead exposure, housing quality, and factors that may exacerbate respiratory conditions, including asthma.

=== Particulate Matter 2.5 ===
[[DASH Guide:Particulate Matter 2.5]]

The U.S. Environmental Protection Agency provides information on the particulate matter concentration for Allegheny County that have a diameter greater or equal to 2.5 mm. Chronic exposure to particles contributes to the risk of developing cardiovascular and respiratory diseases, as well as of lung cancer.

=== Poor Housing Conditions ===
[[DASH Guide:Poor Housing Conditions]]

This estimate of the percent of distressed housing units in each Census Tract was prepared using data from the American Community Survey and the Allegheny County Property Assessment database. The estimate was produced by the Reinvestment Fund in their work with the Allegheny County Department of Economic Development.

=== Smoking Rates ===
[[DASH Guide:Smoking Rates]]

Smoking rates estimates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the United States”. The data is not explicitly based on population surveys or data collection conducted in Allegheny County, but rather estimated using statistical modeling techniques.

=== Supermarkets and Convenience Stores ===
[[DASH Guide:Supermarkets and Convenience Stores]]

Location information for all Supermarkets and Convenience Stores in Allegheny County was produced using the Allegheny County Fee and Permit Data.

=== Tobacco Vendors ===
[[DASH Guide:Tobacco Vendors]]

The tobacco vendor information provides the location of all tobacco vendors in Allegheny County in 2015. Data was compiled from administrative records managed by the Pennsylvania Department of Revenue.

=== Toxics Release Inventory ===
[[DASH Guide:Toxics Release Inventory]]

The data provides information about toxic substances released into the environment in the United States. Annual releases are compiled and reported by the U.S. Environmental Protection Agency (EPA) and shared on the Toxics Release Inventory Website.

=== Traffic Counts ===
[[DASH Guide:Traffic Counts]]

Traffic sensors at over 1,200 locations in Allegheny County collect vehicle counts for the Pennsylvania Department of Transportation. Data included in the DASH project includes hourly averages and average daily counts. The data was collected from years 2012-2014 and compiled by Carnegie Mellon University’s Traffic21 Institute.

=== Vacant Addresses ===
[[DASH Guide:Vacant Addresses]]

Mail carriers routinely collect data on address no longer receiving mail due to vacancy. This vacancy data is reported quarterly at census tract geographies in the United States for residential, commercial, and industrial properties along with counts of total mailing addresses. Data released through DASH has been aggregated to Allegheny County Municipalities and City Wards.

=== Walk Scores ===
[[DASH Guide:Walk Scores]]

Walk Score measures the walkability of any address using a patented system developed by the Walk Score company (since acquired by Redfin). For each 2010 Census Tract centroid, Walk Score analyzed walking routes to nearby amenities.

== Partners ==

* Allegheny County Department of Human Services
* Allegheny County Economic Development
* UPMC Health Plan
* Jewish Healthcare Foundation
* Carnegie Mellon Traffic21 Institute
* University of Pittsburgh Graduate School of Public Health
* Rand Corporation
* Gateway Health Plan Inc
* Highmark Health
* Allegheny County CountyStat
* [[UCSUR|University of Pittsburgh Center for Social and Urban Research]]
* American Heart Association

== References ==

DASH Guide:Vacant Addresses

2022-12-22T17:53:59Z

Rossr: Rossr moved page DASH Guide:Vacant Property to DASH Guide:Vacant Addresses without leaving a redirect

''This guide is just part of a larger [[DASH Data Guide]].''

Mail carriers routinely collect data on address no longer receiving mail due to vacancy. This vacancy data is reported quarterly at census tract geographies in the United States for residential, commercial, and industrial properties along with counts of total mailing addresses. Data released through DASH has been aggregated to Allegheny County Municipalities and City Wards.

=== What's Included in the Data ===

===== Publicly Available =====

* Census Tract
* number of residential buildings
* number of residential vacant buildings
* % of vacant properties

=== Where to Find the Data ===

* [https://data.wprdc.org/dataset/vacant-addresses Open Data on the Western Pennsylvania Regional Data Center's Website]
* [https://wprdc.carto.com/builder/cecb2f0a-efbd-11e6-82dd-0ecd1babdde5/embed Interactive Map]
* [https://www.huduser.gov/portal/datasets/usps.html Original Data Source (HUD USER)]
* [http://neocando.case.edu/cando/pdf/USPSIndicators.pdf Information on this dataset from NEO CANDO system, Center on Urban Poverty and Community Development, MSASS, Case Western Reserve University]

=== Things to Know ===

* Residential vacancies can occur for a number of reasons, including physical abandonment, temporary seasonal vacancies (common among vacation properties), normal turnover between occupants, and construction which makes properties temporarily uninhabitable.
* Mail carriers distinguish between properties that do not appear ready for occupancy from those that are. Abandonment and construction are two conditions that are often the cause of properties being coded as uninhabitable.
* Areas with a high level of housing unit growth and a high level of vacancy may be experiencing new construction.
* Areas with flat or declining numbers of addresses and a high level of vacancy may be experiencing abandonment.
* Data collection practices have changed over time, with a major change having been implemented in 2010. Please use caution when analyzing this data over time.

DASH Guide:Vacant Addresses

2022-12-22T17:53:27Z

Rossr:

DASH Guide:Toxics Release Inventory

2022-12-22T17:22:02Z

Rossr:

''This guide is just part of a larger [[DASH Data Guide]].''

The Toxics Release Inventory (TRI) data provides information about toxic substances released into the environment or managed through recycling, energy recovery, and treatment in the United States. Annual releases are compiled and reported by the U.S. Environmental Protection Agency (EPA) and shared on the TRI Website. The TRI covers over 650 chemicals and chemical groupings across a broad range of industries. Chemicals covered are linked to cancer or other chronic human health effects, tied to significant adverse human health effects, or significant adverse environmental effects.

=== What's Included in the Data ===

===== Publicly Available =====

* Location of the release
* Type of substances released
* Amount of toxic substances released

=== Where to Find the Data ===

* [https://www.epa.gov/toxics-release-inventory-tri-program/basics-tri-reporting Basics of TRI reporting on the EPA's Website]
* [https://www.epa.gov/toxics-release-inventory-tri-program/my-facilitys-six-digit-naics-code-tri-covered-industry Listing of TRI-Covered Industries on the EPA's TRI Website]
* [https://www.epa.gov/toxics-release-inventory-tri-program/learn-about-toxics-release-inventory TRI Program FAQ's on the EPA's Website]
* [https://www.epa.gov/toxics-release-inventory-tri-program Toxics Release inventory homepage]
* [https://www.epa.gov/toxics-release-inventory-tri-program/tri-listed-chemicals Lists and fact sheets of TRI-Listed Chemicals]
* [https://enviro.epa.gov/triexplorer/tri_release.chemical TRI Explorer - an online lookup tool]
* [https://data.wprdc.org/dataset/toxic-release-inventory Open Data on the Western Pennsylvania Regional Data Center's Website]

=== Things to Know ===
When working with TRI data, it's important to have a sense of the reporting criteria, including industrial coverage, size of the facility, and other chemical threshholds. It also helps to have an understanding of how humans may be exposed to the chemicals reported in the TRI data.

* If a facility is 1. in a specific industry sector, 2. employs 10 or more full-time employees, and 3. manufactures, processes, or uses a TRI chemical, it is required to report through the TRI program each year.
* Facilities in specific [https://www.epa.gov/toxics-release-inventory-tri-program/my-facilitys-six-digit-naics-code-tri-covered-industry#Anchor%201 industries, as defined by a six-digit NAICS code] are required to report to the TRI program, however some industries have been granted exceptions or reporting limitations. Industries covered under TRI include mining, utilities, manufacturing, wholesalers, publishers, and hazardous waste facilities. All federal facilities are required to report under TRI.
* The TRI-listed chemicals change from year to year. The [https://www.epa.gov/toxics-release-inventory-tri-program/tri-listed-chemicals EPA's TRI Website] has a list of these changes. The EPA also maintains fact sheets containing information on the hazards posed by these chemicals, along with information related to human exposure.

DASH Guide:Smoking Rates

2022-12-22T17:17:16Z

Rossr:

''This guide is just part of a larger [[DASH Data Guide]].''

Smoking rates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the United States.” The data is not explicitly based on population surveys or data collection conducted in Allegheny County, but rather estimated using statistical modeling techniques. In this technique, researchers applied the obesity rate of a demographically similar Census Tract to one in Allegheny County to compute a smoking rate.

This technique is similar to those used in the [https://www.cdc.gov/500cities/ 500 Cities project]. The 500 Cities project is a collaboration between Centers for Disease Control, the Robert Wood Johnson Foundation, and the CDC Foundation.

Citation: Hinojosa, Alberto M. Ortega, et al. "Developing small-area predictions for smoking and obesity prevalence in the United States for use in Environmental Public Health Tracking." Environmental research 134 (2014): 435-452.

=== What's Included in the Data ===

===== Publicly Available =====

* Census Tract
* Smoking Rates

=== Where to Find the Data ===

* [https://data.wprdc.org/dataset/allegheny-county-smoking-rates Open Data on the Western Pennsylvania Regional Data Center's Website]
* [https://wprdc.carto.com/builder/5dc09728-efc2-11e6-bf47-0ef24382571b/embed Interactive Map]

=== Things to Know ===

* For more information, please see: [https://www.ncbi.nlm.nih.gov/pubmed/25261951 Ortega Hinojosa AM, Davies MM, Jarjour S. et al. Developing small-area predictions for smoking and obesity prevalence in the United States for use in Environmental Public Health Tracking. Environ Res. 2014 Oct; 134:435-52. doi: 10.1016/j.envres.2014.07.029. Epub 2014 Sep 28].
*This technique is similar to those that were used in the [https://www.cdc.gov/places/about/500-cities-2016-2019/index.html 500 Cities project]. The 500 Cities project was a collaboration between Centers for Disease Control, the Robert Wood Johnson Foundation, and the CDC Foundation that ran from 2016-2019, and was replaced in 2020 by the [https://www.cdc.gov/places/index.html Places project].

DASH Guide:Poor Housing Conditions

2022-12-22T17:16:15Z

Rossr:

''This guide is just part of a larger [[DASH Data Guide]].''

This estimate of the percent of distressed housing units in each Census Tract was prepared using data from the American Community Survey and the Allegheny County Property Assessment database. The estimate was produced by the Reinvestment Fund in their work with the Allegheny County Department of Economic Development.

=== What's Included in the Data ===

===== Publicly Available =====

* Census Tract
* number of poor housing units
* total units

=== Where to Find the Data ===

* [https://data.wprdc.org/dataset/allegheny-county-poor-condition-residential-parcel-rates Open Data on the Western Pennsylvania Regional Data Center's Website]
* [https://wprdc.carto.com/builder/edb8b16a-efba-11e6-8b3c-0e05a8b3e3d7/embed Interactive Map]

=== Things to Know ===

* The housing unit information was obtained from the 2010-2014 (5 year) American Community Survey from the U.S. Census Bureau.
* To produce the estimate of the properties in distressed condition, the Reinvestment Fund used information on residential parcels from the Allegheny County Property Assessment database. Properties whose condition was listed as “very poor” and “unsound” were included in the estimate, along with properties in “poor” condition having a County property tax delinquency of three or more years in length.
* For more information on the use of Assessment data, please see the Regional Data Center’s [[Allegheny County Property Assessment Data User Guide|Property Assessment Data User Guide]].

DASH Guide:Obesity Rates

2022-12-22T16:27:06Z

Rossr:

''This guide is just part of a larger [[DASH Data Guide]].''

Obesity rates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the United States." The data is not explicitly based on population surveys or data collection conducted in Allegheny County, but rather estimated using statistical modeling techniques. In this technique, researchers applied the obesity rate of a demographically similar census tract to one in Allegheny County to compute an obesity rate.

=== What's Included in the Data ===

===== Publicly Available =====

* Census Tract
* Obesity prevalence

=== Where to Find the Data ===

* [https://data.wprdc.org/dataset/allegheny-county-obesity-rates Open Data on the Western Pennsylvania Regional Data Center's Website]
* [https://wprdc.carto.com/builder/1994fce8-efcb-11e6-ba1b-0ee66e2c9693/embed?state=%7B%22map%22%3A%7B%22ne%22%3A%5B40.31644640396172%2C-80.24002075195312%5D%2C%22sw%22%3A%5B40.56259043867053%2C-79.73464965820312%5D%7D%2C%22widgets%22%3A%7B%224ff85e01-a677-4590-b030-c8c3fb4b14f6%22%3A%7B%22normalized%22%3Atrue%7D%7D%7D Interactive Map]

=== Things to Know ===

* For more information, please see: [https://www.ncbi.nlm.nih.gov/pubmed/25261951 Ortega Hinojosa AM, Davies MM, Jarjour S. et al. Developing small-area predictions for smoking and obesity prevalence in the United States for use in Environmental Public Health Tracking. Environ Res. 2014 Oct; 134:435-52. doi: 10.1016/j.envres.2014.07.029. Epub 2014 Sep 28].
* This technique is similar to those that were used in the 500 Cities project. The [https://www.cdc.gov/places/about/500-cities-2016-2019/index.html 500 Cities project] was a collaboration between Centers for Disease Control, the Robert Wood Johnson Foundation, and the CDC Foundation that ran from 2016-2019, and was replaced in 2020 by the [https://www.cdc.gov/places/index.html Places project].

DASH Guide:Home Ownership

2022-12-21T23:12:42Z

Rossr: /* Where to Find the Data */

''This guide is just part of a larger [[DASH Data Guide]].''

Home ownership provides a number of financial, social, and health benefits to American families. Especially in areas with housing price appreciation, home ownership is a wealth building mechanism and homeowners are also eligible to receive substantial federal and local tax benefits. Owning a home also provides families with increased residential stability, which can translate into improved school performance for children. The financial stake owners have in their neighborhood also is viewed as something that spurs them to become more-engaged in their community, and there is some research that has found that home ownership also can translate to improved health. The National Association of Realtors has compiled a [https://www.nar.realtor/sites/default/files/social-benefits-of-stable-housing-2012-04.pdf summary of research] related to the benefits of home ownership.

Several different datasets can be used to measure homeownership in Allegheny County. Data is available from the U.S. Census Bureau that measures homeownership at the Census Tract level, and can be used to compare communities in Allegheny County to others in the U.S. Administrative data from Allegheny County’s Office of Property Assessment can also be used to look at the homeownership status of individual residential properties.

=== What's Included in the Data ===

===== Publicly Available =====

* Number of owner-occupied housing units
* Number of total occupied housing units
* Parcels with a homestead exemption
* Property owner's address

=== Where to Find the Data ===

* [https://data.wprdc.org/dataset/allegheny-county-homewonership-and-rentals Open Data on the Western Pennsylvania Regional Data Center's Website]
* U.S. Census Bureau Decennial Census data and American Community Survey can be found on the U.S. Census Bureau's [https://data.census.gov/ data platform], or [https://profiles.ucsur.pitt.edu/profiles/county/42003/housing/ Southwestern Pennsylvania Community Profiles]. The data from a recent five year release of the American Community Survey is included on the Western Pennsylvania Regional Data Center's Open Data Portal
* The [https://data.wprdc.org/dataset/property-assessments Western Pennsylvania Regional Data Center's Open Data Portal] contains data from Allegheny County's Property Assessment database.
* A subset of the full assessment data file can also be downloaded on the Regional Data Center's [http://tools.wprdc.org/parcels-n-at/ parcels n'at data downloading tool].
* Homeownership data can also be viewed parcel by parcel on the Regional Data Center's [http://tools.wprdc.org/property-dashboard/ Property Dashboard].

=== Things to Know ===
There are several things data users should know about each available data source in order to use it to better-understand homeownership in Allegheny County.

* If using Census Tract home ownership data from the U.S. Census Bureau, it largely will come from one of two programs - either the Decennial Census or the American Community Survey. Data from the Decennial Census is an actual count collected once every ten years.
* Data from the U.S. Census Bureau's American Community Survey at Census Tract geographies is based on a survey sent to a sample, or subset of the population. Because the sample size is fairly small, data collected over a five-year period are combined and presented as "five year" data. Users of the American Community Survey should exercise caution when using and communicating with this data. The Census Bureau provides [https://www.census.gov/programs-surveys/acs/guidance.html guidance for data users on its website].
* Parcel level data on ownership is available through the Allegheny County Office of Property Assessment. By looking at properties with a homestead exemption and by comparing the property address with the owner's address, data users can get an up to date and comprehensive picture of home ownership in the County. Details for using the property assessment data in this way are available in the Regional Data Center's [https://data.wprdc.org/dataset/property-assessments/resource/1499b924-8dcc-4904-9715-c6b110b13710 Allegheny County Property Assessment User Guide].

DASH Guide:Cardiovascular Disease Co-morbidity

2022-12-21T23:01:29Z

Rossr:

''This guide is just part of a larger [[DASH Data Guide]].''

These datasets provide de-identified co-morbidity insurance data for diabetes, hypertension, and hyperlipidemia. The data is provided by three managed care organizations in Allegheny County (Gateway Health Plan, Highmark Health, and UPMC) and represents their insured population for the 2015 calendar year.

According to the World Health Organization<ref>http://www.who.int/mediacentre/factsheets/fs317/en/</ref>, cardiovascular diseases are the leading global cause of death. In 2012, it has been

estimated that 17.5 million people died from cardiovascular disease, accounting for nearly one third of total deaths on the planet. Of these deaths, an estimated 7.4 million were due to coronary heart disease and 6.7 million were due to stroke. There are also geographic disparities evident in this data, with over three quarters of deaths due to cardiovascular disease occurring in low- and middle-income countries.

Most cardiovascular diseases can be prevented by addressing key behavioral risk factors, including tobacco use, unhealthy eating habits, physical inactivity, obesity, and excessive alcohol consumption. People with cardiovascular disease or those who are at elevated risk (due to the presence of one or more risk factors such as hypertension, diabetes, hyperlipidemia or already established disease) can benefit from early detection and management, including counseling, medication, and other treatments.

=== Definitions ===

* Co-morbidity- The simultaneous presence of two chronic diseases or conditions in an individual.
* Diabetes - a disease in which the body’s ability to produce or respond to the hormone insulin is impaired, resulting in abnormal metabolism of carbohydrates and elevated levels of glucose in the blood and urine.
* Hypertension- abnormally high blood pressure.
* Hyperlipidemia- an abnormally high concentration of fats or lipids in the blood.

=== What's Included in the Data ===

==== Publicly Available ====

* Total insured in participating managed care organizations
* Total diagnosed by disease types and gender
* Total receiving medication by disease type and gender
* Census Tract (2010 boundary)

=== Where to Find the Data ===

* Publicly Available
** [https://data.wprdc.org/dataset/diabetes-hypertension-comorbidity Diabetes + Hypertension]
** [https://data.wprdc.org/dataset/diabetes-hyperlipidemia-comorbidity Diabetes + Hyperlipidemia]
** [https://data.wprdc.org/dataset/hypertension-hyperlipidemia-comorbidity Hypertension + Hyperlipidemia]
** [https://data.wprdc.org/dataset/diabetes-hypertension-hyperlipidemia-comorbidity Diabetes + Hypertension +Hyperlipidemia]

=== Things to Know ===
All four co-morbidity datasets include information on the total number insured, number of members with a diagnosis, and the number of diagnosed members that have filled medication related to that condition. Separate datasets include each of the four combinations of cardiovascular disease:

* The total number of members referenced in the data dictionary is based on de-identified, merged population data from Gateway Health Plan, Highmark Health, and the University of Pittsburgh Medical Center. These members represent approximately 60% of the county’s insured population. The total estimate of insured people in Allegheny County used to calculate this statistic comes from the U.S. Census Bureau's 2015 American Community Survey.
* The share of insured members of the participating managed care organizations varies from tract to tract. For this reason, the most-appropriate tract level comparison to use is the percent of the insured population from participating managed care organizations with a particular diagnosis.
* An individual may be diagnosed with a cardiovascular disease condition, but if they are not a member of a participating managed care organization, they would not be captured in the data. Likewise, an individual could be enrolled in one of the participating managed care organizations, have a cardiovascular disease, be undiagnosed, and therefore not captured in the data.
* Users should be cautious of using administrative claims data as a measure of disease prevalence and interpreting trends over time, as data provided were collected for purposes other than surveillance. Limitations of these data include but are not limited to: misclassification, duplicate individuals, exclusion of individuals who did not seek care in past two years and those who are: uninsured, enrolled in plans not represented in the dataset, or were not enrolled in one of the represented plans for at least 90 days.

== References ==

Crime, Courts, and Corrections:Arrests

2022-12-21T22:59:15Z

Rossr: Created page with "''This guide is part of a larger guide on Crime, Courts, and Corrections in the City of Pittsburgh.'' Data on people taken into custody by City of Pittsburgh officers are..."

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh]].''

Data on people taken into custody by City of Pittsburgh officers are captured in this data. This data includes all arrests occurring inside and outside the City involving City officers. More serious crimes such as misdemeanors and felony offenses are more-likely to result in arrests, however arrests may occur for other reasons such as parole violations or failure to appear for trial.

=== What's Included in the Data: ===

===== Publicly Available =====

* Incident and arrest location generalized to a block (police zone for sex crimes)
* Type of incident
* Date
* Time
* Offender demographics (race, age, gender)

===== Not Publicly Available =====

* Actual location where the arrest occurred
* Actual location of the offense
* Name and address of the arrestee

=== Where to Find the Data: ===

* [https://data.wprdc.org/dataset/arrest-data Arrest data] is published through the Western Pennsylvania Regional Data Center and is updated daily.

=== Things to Know: ===

* If arrests are unfounded or made in error, the data is removed from this database.
* Arrests that do not result in a conviction or plea remain in the database.
* Sex crimes will be reported at the police zone level only to protect victim confidentiality. All other crimes will be reported at the block level (based on street address range).
* For more information on arrests, please see the Pennsylvania Bar Association’s [http://www.pabar.org/clips/criminallaw.pdf Consumer Legal Information Pamphlets].
* This data is also featured on the [https://pittsburghpa.shinyapps.io/BurghsEyeView/ City of Pittsburgh's Burgh's Eye View mapping tool]

City of Pittsburgh 311 Data User Guide

2022-12-21T22:58:14Z

Rossr: /* Things to know about the data, including limitations */

This User Guide for City of Pittsburgh 311 data provides consumers of the data with background information on why the data is collected, the business processes, software, and applicable standards involved with the data, suggested applications for the data (and how to use it), and other important details. It’s our hope that User Guides will improve the quality and outcomes of 311 data applications.

== Original Purpose and Application ==
Much like the 911 phone number is universal in the U.S. to report an emergency, the 311 system is a phone number people can use for non-emergency service requests. Baltimore, MD was the first U.S. City to implement a 311 system beginning in 1996.

The process in-use in Pittsburgh is used to not only record requests for service, the 311 system is used internally by the City to manage work orders generated by requests, and provide feedback to the person requesting service. The 311 system can also be used to measure the City’s performance in customer response.

== History, Standards, and Format ==
Pittsburgh’s 311 system was first launched in 2006 by internal City staff. It initially operated as a phone, email, “snail mail”, and walk in system, and complaints were routed internally by City staff via a database and software that was designed in-house in the late 1980’s.

Before the 311 system was implemented, there was a Mayor’s Service Center (MSC) that also used the antiquated software. The MSC was dissolved by Mayor Tom Murphy before he left office in 2005. In the interim between the closing of the MSC and the start up of 311, the software was used as a work order system by some of the city departments.

in 2015, software developed by [https://www.qscend.com/ Qscend Technologies, Inc]. software was purchased to manage the 311 system. It’s unclear to what extent the software conforms to existing 311 data standards, however this will be information that we hope to include in a future update of this document.

Request categories are developed by the City of Pittsburgh, with input from department directors. Each category is linked to a department charged with responding to the service request. 311 has the ability to add and modify the categories as necessary, and the definition of some of the categories may differ between City staff and residents. The supporting documentation on the Western Pennsylvania Regional Data Center’s open data portal includes a [https://docs.google.com/spreadsheets/d/1DTDBhwXj1xQG1GCBKPqivlzHQaLh2HLd0SjN1XBPUw0/edit#gid=0 codebook] of issue types and definitions.

== Organizational Context ==
The 311 response system operates within the Department of Innovation & Performance. The City has budgeted for up to 12 staff in the 311 Response Center. Twelve staff are working with the 311 system. The phone service is staffed between 7am and 7pm Monday-Friday.

The City of Pittsburgh uses 311 data to not only manage requests for service, but also to track performance and determine how to allocate resources within agencies. The City is also interested in learning more about how 311 reporting rates differ across neighborhoods.

As more and more cities have adopted 311 systems, a community of practice has emerged to allow managers in different cities to learn from one another. City staff participate in the [https://www.agccp.org/ Association of Government Contact Center Professionals].

== Work Flow ==
Today, the 311 system accepts service requests over the phone, through the internal 311 call center, [https://pittsburghpa.gov/311/form Web interface], [https://twitter.com/Pgh311 Twitter], occasional email requests, or letters in the mail. Other departments are also able to submit requests as well. A mobile application has also been launched by the City on March 11, 2016.

Registered users of the Web-based system are able to track their requests through completion, however registration is not required to submit a complaint.

Users requesting service through the Web form are able to select their own service type through a drop-down menu. Requests coming through other sources are assigned a service type by 311 staff. About 5%-10% of all Web-based requests are assigned an improper classification by the person making the request. When an incorrect referral is made, 311 is notified by the department receiving the initial submission, the request is reclassified by 311 staff, and re-routed to the appropriate department.

Requests are geocoded through the Qscend software based on the address provided by the person requesting service. The software notify 311 representatives of similar requests in a nearby geographic area. 311 Staff are then able to link similar requests in the system to reduce duplication of requests.

The person making the request for service will receive a case ID number as a reference if they’d like to check the status of the request. They can also provide their email address to receive automatic notifications as requests are filled.

The business processes related to responding to service requests differ by department, but all departments use the 311 system as the source for work orders. Departments also provide notification through the 311 system after work is complete.

The Department of Permits, Licenses, and Inspections (PLI) is currently the only department with full 311 digital integration into their business processes. The workflow begins with PLI assigning a parcel number to each property service request. As inspections are performed, violations are found, and other actions occur, PLI software systems are able to track a complaint as it moves through a process of inspections, violations, and other actions. These actions are all linked with the 311 request, and notifications are provided to the person requesting service.

The Department of Public Works (DPW) has not yet integrated 311 with the Cartegraph system. As of December 2015, requests sent to DPW are printed by a clerk at each division, and then assigned on paper to work crews. Completed work orders are returned on paper to clerks at each division, who enter data into the system. There can be a lag of up to a week in the data entry process. 311 helps departments with data entry as requested. Once the 311 system is digitally integrated into DPW operations, work crews will be able to receive and respond to service requests in the field.

== Things to know about the data, including limitations ==

* As identified through the City’s legal review process, the specific geographic location of 311 complaints are not publicly shared due to concerns over privacy.

* On the W[https://data.wprdc.org/dataset/311-data estern Pennsylvania Regional Data Center open data portal], fields for neighborhoods, 2010 census tract, Council District, police zone, DPW division, and PLI division have been appended to all records. This information is generated by an automated Extract Transform Load process based on the (coordinate) location of the complaint. Data on the data portal updates hourly.

* Coordinates were added to the 311 open data file on October 12, 2016. For some less-sensitive request types, actual coordinates appear in the 311 open data. For more sensitive requests, coordinates representing the approximate location of the complaint are shared to protect the identity of the person making the complaint. The data file indicates whether exact or approximate coordinates have been included.

* Errors may have been created through the City’s geocoding process.[[File:311 requests.png|thumb|A graph showing the 20 most common requests submitted in the year ending on March 7, 2016|485x485px]]

* The City's 311 system is not integrated with Allegheny County for County-owned roads, the Pennsylvania American Water Co., State DOT, or utility companies (gas/electric) - most of these can be forwarded by email, but the State Department of Transportation system only is capable of handling phone referrals. In this case, the person making the request is provided with the State DOT customer service phone number (1-800 FIX-ROAD), and the request is closed on the City’s 311 System.

* For the year ending March 7, 2016 48,710 311 requests were received. The highest volume of service requests (73%) were made by phone, with 18% coming through the Web. It’s common for some calls to result in multiple requests.

* Potholes are the most-frequently requested type of service, accounting for nearly one in five 311 requests filed in the year ending on March 7, 2016. A graph showing the 20 most common requests submitted over this period appears below.

* Requests will peak during a City pothole blitz or snow event. For one storm occurring January 12, 2016, the volume of 311 requests was three times higher the day of the event. About 80 percent of requests received by 311 on these days were snow and ice related. The volume of total requests remained higher than normal for a few days following the storm.
* The City does not prioritize requests based on the number of complaints received about a particular issue.
* The City has no 311 marketing budget. Promotion occurs through community meetings and events, twitter, word-of-mouth, the City’s cable channel, and also included with the City’s printed environmental services schedule (distributed annually).
* Calls originating outside the City are accepted. The 311 system does not block calls from outside the City.
* If a request for service is made for an issue occurring outside the City, the 311 staff will share the phone number of the appropriate municipality with the caller.
* Requests for work performed by outside organizations are often received. The system is integrated with the [http://www.pgh2o.com/ Pittsburgh Water and Sewer Authority], and 311 is also handling intake with the [https://pittsburghpa.gov/snowangels/ Snow Angels program], which matches volunteers with residents unable to shovel their own snow. The City also forwards requests for street light repairs to Allegheny City Electric, the City’s lighting contractor.
* A status field for requests was added to the data several years after it was first published. Options are 0, 1, and 3 and where 0 = New, 1 = Closed, 3 = Open). To change from Open to In Progress requires some sort of activity - something as minor as printing the request will move the request status from New to Open. Closing requests is done manually by the department. For long term issues, or issues where a request may not be able to closed for several months (for example a paving request received in November), 311 closes the request with a notation that it will be evaluated at a later date. In the paving example, the Asphalt Crew can easily pull the list of requests and evaluate a course of action even if the request had been closed.
** Other special cases that impact open/closed requests relate to DOMI, where landslide remediation may require capital budget funding, or PLI, where requests are not automatically closed when the complaint reaches the courts. Hopefully, this latter case will be addressed through future software/process improvements.
** A new status code of “On Hold” will debut, likely in 2020. This status allows the City to hold the request with no time counted against it until it can be completed at a later date - for example, a request for graffiti removal received in January, where conditions aren’t appropriate to complete the request.

== Additional Applications ==
Some neighborhood organizations will conduct organized 311 reporting events using resident volunteers. In these situations, residents are encouraged to report issues directly through the 311 or 911 system as appropriate.

== Appendix ==
A [https://docs.google.com/spreadsheets/d/1DTDBhwXj1xQG1GCBKPqivlzHQaLh2HLd0SjN1XBPUw0/edit#gid=0 codebook] has been developed for this user guide listing all 311 categories, definitions, and reporting agencies for all issue types.

== Sources/Acknowledgements ==
Thanks to Wendy Urbanic, 311 Manager, and Tara Matthews, Innovation & Performance Analyst, of the City of Pittsburgh Department of Innovation and Performance for their contributions to this document.

City of Pittsburgh 311 Data User Guide

2022-12-21T22:57:50Z

Rossr: /* Things to know about the data, including limitations */

This User Guide for City of Pittsburgh 311 data provides consumers of the data with background information on why the data is collected, the business processes, software, and applicable standards involved with the data, suggested applications for the data (and how to use it), and other important details. It’s our hope that User Guides will improve the quality and outcomes of 311 data applications.

== Original Purpose and Application ==
Much like the 911 phone number is universal in the U.S. to report an emergency, the 311 system is a phone number people can use for non-emergency service requests. Baltimore, MD was the first U.S. City to implement a 311 system beginning in 1996.

The process in-use in Pittsburgh is used to not only record requests for service, the 311 system is used internally by the City to manage work orders generated by requests, and provide feedback to the person requesting service. The 311 system can also be used to measure the City’s performance in customer response.

== History, Standards, and Format ==
Pittsburgh’s 311 system was first launched in 2006 by internal City staff. It initially operated as a phone, email, “snail mail”, and walk in system, and complaints were routed internally by City staff via a database and software that was designed in-house in the late 1980’s.

Before the 311 system was implemented, there was a Mayor’s Service Center (MSC) that also used the antiquated software. The MSC was dissolved by Mayor Tom Murphy before he left office in 2005. In the interim between the closing of the MSC and the start up of 311, the software was used as a work order system by some of the city departments.

in 2015, software developed by [https://www.qscend.com/ Qscend Technologies, Inc]. software was purchased to manage the 311 system. It’s unclear to what extent the software conforms to existing 311 data standards, however this will be information that we hope to include in a future update of this document.

Request categories are developed by the City of Pittsburgh, with input from department directors. Each category is linked to a department charged with responding to the service request. 311 has the ability to add and modify the categories as necessary, and the definition of some of the categories may differ between City staff and residents. The supporting documentation on the Western Pennsylvania Regional Data Center’s open data portal includes a [https://docs.google.com/spreadsheets/d/1DTDBhwXj1xQG1GCBKPqivlzHQaLh2HLd0SjN1XBPUw0/edit#gid=0 codebook] of issue types and definitions.

== Organizational Context ==
The 311 response system operates within the Department of Innovation & Performance. The City has budgeted for up to 12 staff in the 311 Response Center. Twelve staff are working with the 311 system. The phone service is staffed between 7am and 7pm Monday-Friday.

The City of Pittsburgh uses 311 data to not only manage requests for service, but also to track performance and determine how to allocate resources within agencies. The City is also interested in learning more about how 311 reporting rates differ across neighborhoods.

As more and more cities have adopted 311 systems, a community of practice has emerged to allow managers in different cities to learn from one another. City staff participate in the [https://www.agccp.org/ Association of Government Contact Center Professionals].

== Work Flow ==
Today, the 311 system accepts service requests over the phone, through the internal 311 call center, [https://pittsburghpa.gov/311/form Web interface], [https://twitter.com/Pgh311 Twitter], occasional email requests, or letters in the mail. Other departments are also able to submit requests as well. A mobile application has also been launched by the City on March 11, 2016.

Registered users of the Web-based system are able to track their requests through completion, however registration is not required to submit a complaint.

Users requesting service through the Web form are able to select their own service type through a drop-down menu. Requests coming through other sources are assigned a service type by 311 staff. About 5%-10% of all Web-based requests are assigned an improper classification by the person making the request. When an incorrect referral is made, 311 is notified by the department receiving the initial submission, the request is reclassified by 311 staff, and re-routed to the appropriate department.

Requests are geocoded through the Qscend software based on the address provided by the person requesting service. The software notify 311 representatives of similar requests in a nearby geographic area. 311 Staff are then able to link similar requests in the system to reduce duplication of requests.

The person making the request for service will receive a case ID number as a reference if they’d like to check the status of the request. They can also provide their email address to receive automatic notifications as requests are filled.

The business processes related to responding to service requests differ by department, but all departments use the 311 system as the source for work orders. Departments also provide notification through the 311 system after work is complete.

The Department of Permits, Licenses, and Inspections (PLI) is currently the only department with full 311 digital integration into their business processes. The workflow begins with PLI assigning a parcel number to each property service request. As inspections are performed, violations are found, and other actions occur, PLI software systems are able to track a complaint as it moves through a process of inspections, violations, and other actions. These actions are all linked with the 311 request, and notifications are provided to the person requesting service.

The Department of Public Works (DPW) has not yet integrated 311 with the Cartegraph system. As of December 2015, requests sent to DPW are printed by a clerk at each division, and then assigned on paper to work crews. Completed work orders are returned on paper to clerks at each division, who enter data into the system. There can be a lag of up to a week in the data entry process. 311 helps departments with data entry as requested. Once the 311 system is digitally integrated into DPW operations, work crews will be able to receive and respond to service requests in the field.

== Things to know about the data, including limitations ==

* As identified through the City’s legal review process, the specific geographic location of 311 complaints are not publicly shared due to concerns over privacy.

* On the W[https://data.wprdc.org/dataset/311-data estern Pennsylvania Regional Data Center open data portal], fields for neighborhoods, 2010 census tract, Council District, police zone, DPW division, and PLI division have been appended to all records. This information is generated by an automated Extract Transform Load process based on the (coordinate) location of the complaint. Data on the data portal updates hourly.

* Coordinates were added to the 311 open data file on October 12, 2016. For some less-sensitive request types, actual coordinates appear in the 311 open data. For more sensitive requests, coordinates representing the approximate location of the complaint are shared to protect the identity of the person making the complaint. The data file indicates whether exact or approximate coordinates have been included.

* Errors may have been created through the City’s geocoding process.[[File:311 requests.png|thumb|A graph showing the 20 most common requests submitted in the year ending on March 7, 2016|402x402px]]

* The City's 311 system is not integrated with Allegheny County for County-owned roads, the Pennsylvania American Water Co., State DOT, or utility companies (gas/electric) - most of these can be forwarded by email, but the State Department of Transportation system only is capable of handling phone referrals. In this case, the person making the request is provided with the State DOT customer service phone number (1-800 FIX-ROAD), and the request is closed on the City’s 311 System.

* For the year ending March 7, 2016 48,710 311 requests were received. The highest volume of service requests (73%) were made by phone, with 18% coming through the Web. It’s common for some calls to result in multiple requests.

* Potholes are the most-frequently requested type of service, accounting for nearly one in five 311 requests filed in the year ending on March 7, 2016. A graph showing the 20 most common requests submitted over this period appears below.

* Requests will peak during a City pothole blitz or snow event. For one storm occurring January 12, 2016, the volume of 311 requests was three times higher the day of the event. About 80 percent of requests received by 311 on these days were snow and ice related. The volume of total requests remained higher than normal for a few days following the storm.
* The City does not prioritize requests based on the number of complaints received about a particular issue.
* The City has no 311 marketing budget. Promotion occurs through community meetings and events, twitter, word-of-mouth, the City’s cable channel, and also included with the City’s printed environmental services schedule (distributed annually).
* Calls originating outside the City are accepted. The 311 system does not block calls from outside the City.
* If a request for service is made for an issue occurring outside the City, the 311 staff will share the phone number of the appropriate municipality with the caller.
* Requests for work performed by outside organizations are often received. The system is integrated with the [http://www.pgh2o.com/ Pittsburgh Water and Sewer Authority], and 311 is also handling intake with the [https://pittsburghpa.gov/snowangels/ Snow Angels program], which matches volunteers with residents unable to shovel their own snow. The City also forwards requests for street light repairs to Allegheny City Electric, the City’s lighting contractor.
* A status field for requests was added to the data several years after it was first published. Options are 0, 1, and 3 and where 0 = New, 1 = Closed, 3 = Open). To change from Open to In Progress requires some sort of activity - something as minor as printing the request will move the request status from New to Open. Closing requests is done manually by the department. For long term issues, or issues where a request may not be able to closed for several months (for example a paving request received in November), 311 closes the request with a notation that it will be evaluated at a later date. In the paving example, the Asphalt Crew can easily pull the list of requests and evaluate a course of action even if the request had been closed.
** Other special cases that impact open/closed requests relate to DOMI, where landslide remediation may require capital budget funding, or PLI, where requests are not automatically closed when the complaint reaches the courts. Hopefully, this latter case will be addressed through future software/process improvements.
** A new status code of “On Hold” will debut, likely in 2020. This status allows the City to hold the request with no time counted against it until it can be completed at a later date - for example, a request for graffiti removal received in January, where conditions aren’t appropriate to complete the request.

== Additional Applications ==
Some neighborhood organizations will conduct organized 311 reporting events using resident volunteers. In these situations, residents are encouraged to report issues directly through the 311 or 911 system as appropriate.

== Appendix ==
A [https://docs.google.com/spreadsheets/d/1DTDBhwXj1xQG1GCBKPqivlzHQaLh2HLd0SjN1XBPUw0/edit#gid=0 codebook] has been developed for this user guide listing all 311 categories, definitions, and reporting agencies for all issue types.

== Sources/Acknowledgements ==
Thanks to Wendy Urbanic, 311 Manager, and Tara Matthews, Innovation & Performance Analyst, of the City of Pittsburgh Department of Innovation and Performance for their contributions to this document.

Data Guides

2022-12-21T22:56:37Z

Rossr: /* WPRDC Data Guides */

Links to detailed document about data that includes social contextual information.

== WPRDC Data Guides ==
[[DASH Data Guide]]

[[Guide to Property and Housing Data]]

[[Crime, Courts, and Corrections in the City of Pittsburgh]]

[[City of Pittsburgh 311 Data User Guide]]

[[Allegheny County Property Assessment Data User Guide]]

Allegheny County Property Assessment Data User Guide

2022-12-21T22:56:05Z

Rossr: /* Identify Vacant Land */

This user guide for Allegheny County Assessment Data is intended to go beyond metadata and provide consumers of the data set a sense of the purpose for which the data was collected, the business processes, software, and applicable standards involved with the data, suggested applications for the data (and how to use it), and other details so the expectations and outcomes of data users are improved.

== Original Purpose and Application ==
This database is used by the Office of Property Assessments (OPA) to administer the property assessment system in Allegheny County, PA, including the appeals process. The data is distributed for use by local taxing bodies (county, municipalities and school districts) for taxation. Independent downstream recipients of the data may use it to facilitate code enforcement, real estate market research, title searches, or trends in urban planning, etc.

== History of the data and current format ==
The electronic format came into use beginning with the 2002 county reassessment with Sabre Systems. It was then migrated to CLT’s iasWorld product. An updated application interface and assessment values were created in 2012 as part of the most recent County wide reassessment.

== Organizational Context ==
Assessment and taxation are in two different departments for Allegheny County. OPA passes information to the Treasurer for the collection of County taxes, and to school districts and municipalities for their taxation requirements. This includes the annual certified values and subsequent changes throughout the year from permits and appeals.

Assessments and county tax payment information were made available online with a joint web application known as the ‘Real Estate Website’ in an effort to improve transparency to constituents. The database became searchable online in 2001. At that time anyone could search the database by name, address, or property ID number and obtain that property’s assessed value. County officials removed information about 100 judges from the database four years later due to security concerns after judges in Chicago and Atlanta were tracked down and murdered. Law enforcement officers then requested their names to be removed from the searchable records as well. In 2007 County Council voted to remove the search-by-name function for all property owners from the online property assessment database.

<nowiki>*</nowiki>Information from the from CMU report: https://www.cylab.cmu.edu/files/pdfs/tech_reports/CMUCyLab11015.pdf

== Work Flow ==
The Department of Real Estate (DRE) collects ownership and sales records in their system when a deed is recorded. There is no legal requirement to record a deed within a set window from the sale date, so there may be a delay of months or years before a sale is shown in the supporting applications. Once it is recorded, the sale and ownership information is then updated into OPA’s system and passed to the Treasurer’s Office. The frequency of this data reconciliation between the DRE and OPA varies, but normally happens within two weeks of the recording date.

If a residence that has the Homestead exemption (Act 50) is sold, it is flagged so the homestead is removed for the following tax year. New owners must file to obtain the exemption on the parcel in their name for the new tax year if they wish to claim the exemption. This information is passed onto School Districts so they may process it for additional Act 1 exemption if applicable.

Applications for the various exemption and abatement programs have differing deadlines and limitations, some of which are voted on annually. Please see the [https://www.alleghenycounty.us/real-estate/abatements-exemptions/index.aspx county website] for current program availability.

Changes to property value and certain characteristics (like Land Use Codes) flow through a posting process before they can be seen in the distributed data venues such as the Western Pennsylvania Regional Data Center or the County Website. Data is collected via assessors and the appeal process.

Some municipalities share permit and demolition data regularly. The overall process would benefit from a unified approach to permitting, reporting, and data sharing. This would increase accuracy of assessments and improve data quality – capturing new construction and demolitions in a timely fashion.

== Standards and formats used ==
Parcel ID numbers are 16 alpha-numeric characters and are often derived from Map Lot & Block numbers. New Parcel IDs are created as needed by the Department of Real Estate when new parcels are created.

Parcel ID numbers are the primary key linking assessment data with Allegheny County’s parcel GIS files. Former naming conventions (pseudo-numbers) may be used for searching in limited cases.

== Things to know about the data, including limitations ==

* Assessed Values are often not the same as the Market Value of a property, and the two may NOT be used interchangeably. Assessed Values are built upon a Base Year methodology. Allegheny County’s current base year is 2012 with an effective date of value of January 1, 2012.

* Assessments are an opinion of value, based on many factors like neighborhoods and land characteristics and facilitated by mass appraisal software. Conditions and factors are ever changing and property owners have the right to appeal each year, regardless of the outcome, actions, or inaction from preceding years.
* For commercial properties all improvements are assessed, not just buildings. That includes things like paving, fences, retaining walls, etc…

* Base Year values are subject to ongoing maintenance throughout the year. In accordance with the County's Administrative Code and State statutes, values may be adjusted for the following reasons:

# The Office of Property Assessments can adjust Base Year values through the administrative change process for omissions, mathematical or clerical errors.
# Base Year values can also be adjusted due to a change in the physical nature of the property such as building permits for additions or demolitions, or due to recorded subdivision plans.

* As discussed in the Organizational Context section, a 2007 County Council law prohibits the Office of Property Assessments from making the database searchable online by owner name. To comply with this law OPA has removed owner names from this data release.

* Owner names are entered as recorded on the deed filed by the owner in the Department of Real Estate. The County is not permitted to standardize entries among common owners, or even fix deed spelling errors. For this reason, the data appearing on the County website shows data as deeded. Some owners, such as Ross Township, are listed in numerous ways, such as “ROSS TOWNSHIP”, “TOWNSHIP OF ROSS”, “TOWNSHIP OF ROSS (THE)”, and “TWP OF ROSS.” If an owner wants a name changed, added, or removed, a new deed must be prepared and recorded. You may wish to consult an attorney before preparing a new deed.

* Land Use Codes (“USECODE” and “USEDESC”) normally indicate the way the structure on the parcel is being used, such as Single Family Dwelling. In some cases it will refer to condition or ownership indicators instead, such as “government owned” or “condemned”. Codes and their usage may change per system and reporting requirements. Please check the [https://data.wprdc.org/dataset/property-assessments/resource/f2b8d575-e256-4718-94ad-1e12239ddb92 data dictionary] for more details.

* Interior access is not routine once a residence is occupied so internal property details have not been verified by OPA in most cases. However the number of bedrooms and similar interior detail has little if any impact on the assessed value of the property. OPA estimates overall living area via exterior measurements, taken either on-site or via aerial photography. Commercial properties have interior reviews to determine accurate usage and income.

* Condition is a subjective indication of the status of the structure on a parcel, where grade refers both to the quality of construction materials and techniques. The condition field (“CDU” or “CONDITIONDESC”) represents a combination of three factors: Condition, Desirability and Utility, with the weight on Condition. Please see the [https://data.wprdc.org/dataset/property-assessments/resource/f2b8d575-e256-4718-94ad-1e12239ddb92 data dictionary] found on the open data portal for more details.

* Deeds have been recorded in Allegheny County since 1788. Early sales may not be seen in the electronic system, and may default to a 1950 sale date.

* Commercial building data does not appear on the County website since they are often comprised of multiple buildings on one property and multiple uses within the same building (a one-to-many problem). Approximately 90% of the parcels in Allegheny County are classed as residential.

* Homestead exemption flags may not immediately appear in the data following the County’s approval of an application. Using the Homestead exemption flag to determine homeownership of a property shortly after a property’s sale may not accurately represent homeownership status of the property. Please keep in mind that not all homeowners file an application for the Homestead exemption.

* Locally offered abatement or exemption programs (by school and/or municipality) will not be represented in County Assessed values.

* Sales recorded in deed records and captured in the [https://data.wprdc.org/dataset/real-estate-sales property sales dataset] may not appear in the assessment dataset if these properties have not yet been assigned an assessed value for taxation purposes. The absence of an assessed value does not prevent a sale from being recorded.

== Additional applications of the data ==
Assessment data has been used in numerous ways beyond its original purpose by a number of users. Some examples are listed below based on prior uses of data involving the University Center for Social and Urban Research at the University of Pittsburgh and project partners. If you know of any additional uses of this dataset that aren’t included here, we’d like to share them in this document. Please contact us at the Western Pennsylvania Regional Data Center (wprdc@pitt.edu).

=== Identify Vacant Land ===
[[File:Gtech 2014 vacant land survey.jpg|thumb|Results of 2014 GTECH Vacant Land Survey with Building Assessed Value|396x396px]]
The land use fields (“USECODE” and “USEDESC”) include publicly-owned property as a land use. For this reason, the land use field has limited applicability to the types of land uses common among publicly-owned properties, including government facilities, parks, un-buildable property such as hillsides, and land that once held structures but is now vacant.

Three municipalities in Allegheny County tax land and buildings at different rates. For this reason, the assessment file contains a “FAIRMARKETLAND,” “FAIRMARKETBUILDING,” and “FAIRMARKETTOTAL” (total = land + building) value. To identify vacant land, the split land/structure valuation has been used with good reliability. Ground-truthing efforts on properties whose “FAIRMARKETBUILDING” = 0 have shown that they typically do not have a structure. In 2014, a comprehensive survey of vacant parcels in the North Side of Pittsburgh was conducted by [https://gtechstrategies.org/ GTECH Strategies] (GTECH). GTECH’s data collection efforts targeted properties whose building assessment (FAIRMARKETBUILDING) =0. They hired and trained neighborhood residents to collect the data. Of the 6,882 parcels with an assessed building value of “0,” 4,791 (70%) did not contain a structure. Many of the remaining 2,699 parcels were also vacant, but apparently were not included in the survey as they were located in a railroad or utility right of way, were a park, cemetery, or condominium common property. The locations of these parcels can be seen in Figure 1.

GTECH surveyors also found 559 properties that did not have a structure, but had a building value greater than “0” according to assessment records. In looking at the GTECH classifications on these parcels, 217, or 39% were parking lots. In the assessment data, these often had a land use code of “parking lot” or “comm aux building.” At the time, GTECH was not aware that commercial properties in Allegheny County include a valuation of all improvements, including paving, fences, retaining walls, etc. as mentioned earlier in this document.

The results of the GTECH survey suggest using a zero value in the assessment’s “FAIRMARKETBUILDING” field can reliably be used to identify vacant land in Allegheny County, especially among non-commercial properties. Figure 1 shows the results of the GTECH survey on a map in conjunction with the building assessment. To account for improvements on commercial vacant land (whose “FAIRMARKETBUILDING” value may be greater than zero), additional ground-truthing can be done on properties with a very low building value, or where the County’s land use code is consistent with a reasonable definition of a vacant property land use.
=== Owner-Occupied Properties ===
Staff at [https://operationbetterblock.com/ Operation Better Block] in Homewood have compared the property address with the owner’s address (using the four “CHANGENOTICE” fields as a proxy for owner’s address) to identify residential properties that may be owner-occupied. Staff then looked at the Homestead flag on the property to identify homeowners that had not filed for the exemption. Staff and volunteers with Operation Better Block then contacted these residents and helped them complete Homestead exemption forms (note: the Homestead exemption may only be claimed once, even if someone lives part time in another location they own – anywhere in the United States).

=== Investor-Owned Properties ===
It may be possible to identify investor-owned residential properties using several fields in the assessment data. Given that not all eligible owners apply, relying solely on the lack of a Homestead flag does not provide enough certainty when working to identify investors. To begin, look at all residential properties using the “CLASSDESC” field to limit the search to privately owned properties (please note that condominium units are classified as residential, but apartment buildings with five or more units, or mixed-use residential parcels are categorized as “commercial” in the “CLASSDESC” field). Then, for all properties without a Homestead flag (“HOMESTEAD”<> “HOM”), compare the property address and owner’s address (using the four “CHANGENOTICE” fields as a proxy for owner’s address). If the addresses do not match and there is no Homestead exemption, this may provide an indication that the residential properties may be investor-owned. This data can be used to get a sense of neighborhood housing market dynamics and to develop informed investor housing strategies.

For a guide to developing an investor housing strategy, see: https://www.policylink.org/sites/default/files/CI_Treuhaft_et_al.pdf

=== Track Common Ownership Across Multiple Properties ===
Owners of multiple properties can sometimes be linked by a common owner’s address (using the four “CHANGENOTICE” fields as a proxy for owner’s address) across their various holdings, even if the owner’s names appear differently in the assessment data for some of the properties in their portfolio. This data has been useful in proactive code enforcement, as data was recently used to identify the potential holdings of an investor that was cited for not addressing serious condition issues on a rental property in Carrick. In the assessment data, properties held at least in part by this owner were listed under several different corporate names but had a common owner’s address in the assessment record. The owner of the problem property mentioned in the news article was listed as an officer with one of these companies according to [https://file.dos.pa.gov/ incorporations data from the Pennsylvania Department of State].

Please use caution with this technique, as some properties may list the ”CHANGENOTICE” address as either the property manager or the mortgage company, not the property owner. It is best used on properties not managed by a third party, and owned free and clear.

Related news story: [http://www.post-gazette.com/local/city/2014/05/08/Carrick-landlord-fined-for-health-code-violations/stories/201405080295 Carrick Landlord Fined for Health Code Violations]

=== Publicly-Owned Properties ===
The “CLASS” and “USEDESC” fields can both be used to identify publicly-owned property. Setting the “CLASS” = G (Government) should provide a comprehensive list of public property. The “USEDESC” field can then be used to identify the type of public ownership (state, county, local, etc.).

== Appendix: Listing of Field Values ==
Please see the [https://data.wprdc.org/dataset/property-assessments Property Assessment Data Dictionary] on the data portal for a list of fields and example values.

=== Acknowledgements ===
Thank you to all our contributors, especially the dedicated staff at the Allegheny County Office of Property Assessments for co-authoring this document. We’d also like to thank Operation Better Block and GTECH Strategies for sharing their data stories with us.

Allegheny County Property Assessment Data User Guide

2022-12-21T22:55:42Z

Rossr: /* Owner-Occupied Properties */

This user guide for Allegheny County Assessment Data is intended to go beyond metadata and provide consumers of the data set a sense of the purpose for which the data was collected, the business processes, software, and applicable standards involved with the data, suggested applications for the data (and how to use it), and other details so the expectations and outcomes of data users are improved.

== Original Purpose and Application ==
This database is used by the Office of Property Assessments (OPA) to administer the property assessment system in Allegheny County, PA, including the appeals process. The data is distributed for use by local taxing bodies (county, municipalities and school districts) for taxation. Independent downstream recipients of the data may use it to facilitate code enforcement, real estate market research, title searches, or trends in urban planning, etc.

== History of the data and current format ==
The electronic format came into use beginning with the 2002 county reassessment with Sabre Systems. It was then migrated to CLT’s iasWorld product. An updated application interface and assessment values were created in 2012 as part of the most recent County wide reassessment.

== Organizational Context ==
Assessment and taxation are in two different departments for Allegheny County. OPA passes information to the Treasurer for the collection of County taxes, and to school districts and municipalities for their taxation requirements. This includes the annual certified values and subsequent changes throughout the year from permits and appeals.

Assessments and county tax payment information were made available online with a joint web application known as the ‘Real Estate Website’ in an effort to improve transparency to constituents. The database became searchable online in 2001. At that time anyone could search the database by name, address, or property ID number and obtain that property’s assessed value. County officials removed information about 100 judges from the database four years later due to security concerns after judges in Chicago and Atlanta were tracked down and murdered. Law enforcement officers then requested their names to be removed from the searchable records as well. In 2007 County Council voted to remove the search-by-name function for all property owners from the online property assessment database.

<nowiki>*</nowiki>Information from the from CMU report: https://www.cylab.cmu.edu/files/pdfs/tech_reports/CMUCyLab11015.pdf

== Work Flow ==
The Department of Real Estate (DRE) collects ownership and sales records in their system when a deed is recorded. There is no legal requirement to record a deed within a set window from the sale date, so there may be a delay of months or years before a sale is shown in the supporting applications. Once it is recorded, the sale and ownership information is then updated into OPA’s system and passed to the Treasurer’s Office. The frequency of this data reconciliation between the DRE and OPA varies, but normally happens within two weeks of the recording date.

If a residence that has the Homestead exemption (Act 50) is sold, it is flagged so the homestead is removed for the following tax year. New owners must file to obtain the exemption on the parcel in their name for the new tax year if they wish to claim the exemption. This information is passed onto School Districts so they may process it for additional Act 1 exemption if applicable.

Applications for the various exemption and abatement programs have differing deadlines and limitations, some of which are voted on annually. Please see the [https://www.alleghenycounty.us/real-estate/abatements-exemptions/index.aspx county website] for current program availability.

Changes to property value and certain characteristics (like Land Use Codes) flow through a posting process before they can be seen in the distributed data venues such as the Western Pennsylvania Regional Data Center or the County Website. Data is collected via assessors and the appeal process.

Some municipalities share permit and demolition data regularly. The overall process would benefit from a unified approach to permitting, reporting, and data sharing. This would increase accuracy of assessments and improve data quality – capturing new construction and demolitions in a timely fashion.

== Standards and formats used ==
Parcel ID numbers are 16 alpha-numeric characters and are often derived from Map Lot & Block numbers. New Parcel IDs are created as needed by the Department of Real Estate when new parcels are created.

Parcel ID numbers are the primary key linking assessment data with Allegheny County’s parcel GIS files. Former naming conventions (pseudo-numbers) may be used for searching in limited cases.

== Things to know about the data, including limitations ==

* Assessed Values are often not the same as the Market Value of a property, and the two may NOT be used interchangeably. Assessed Values are built upon a Base Year methodology. Allegheny County’s current base year is 2012 with an effective date of value of January 1, 2012.

* Assessments are an opinion of value, based on many factors like neighborhoods and land characteristics and facilitated by mass appraisal software. Conditions and factors are ever changing and property owners have the right to appeal each year, regardless of the outcome, actions, or inaction from preceding years.
* For commercial properties all improvements are assessed, not just buildings. That includes things like paving, fences, retaining walls, etc…

* Base Year values are subject to ongoing maintenance throughout the year. In accordance with the County's Administrative Code and State statutes, values may be adjusted for the following reasons:

# The Office of Property Assessments can adjust Base Year values through the administrative change process for omissions, mathematical or clerical errors.
# Base Year values can also be adjusted due to a change in the physical nature of the property such as building permits for additions or demolitions, or due to recorded subdivision plans.

* As discussed in the Organizational Context section, a 2007 County Council law prohibits the Office of Property Assessments from making the database searchable online by owner name. To comply with this law OPA has removed owner names from this data release.

* Owner names are entered as recorded on the deed filed by the owner in the Department of Real Estate. The County is not permitted to standardize entries among common owners, or even fix deed spelling errors. For this reason, the data appearing on the County website shows data as deeded. Some owners, such as Ross Township, are listed in numerous ways, such as “ROSS TOWNSHIP”, “TOWNSHIP OF ROSS”, “TOWNSHIP OF ROSS (THE)”, and “TWP OF ROSS.” If an owner wants a name changed, added, or removed, a new deed must be prepared and recorded. You may wish to consult an attorney before preparing a new deed.

* Land Use Codes (“USECODE” and “USEDESC”) normally indicate the way the structure on the parcel is being used, such as Single Family Dwelling. In some cases it will refer to condition or ownership indicators instead, such as “government owned” or “condemned”. Codes and their usage may change per system and reporting requirements. Please check the [https://data.wprdc.org/dataset/property-assessments/resource/f2b8d575-e256-4718-94ad-1e12239ddb92 data dictionary] for more details.

* Interior access is not routine once a residence is occupied so internal property details have not been verified by OPA in most cases. However the number of bedrooms and similar interior detail has little if any impact on the assessed value of the property. OPA estimates overall living area via exterior measurements, taken either on-site or via aerial photography. Commercial properties have interior reviews to determine accurate usage and income.

* Condition is a subjective indication of the status of the structure on a parcel, where grade refers both to the quality of construction materials and techniques. The condition field (“CDU” or “CONDITIONDESC”) represents a combination of three factors: Condition, Desirability and Utility, with the weight on Condition. Please see the [https://data.wprdc.org/dataset/property-assessments/resource/f2b8d575-e256-4718-94ad-1e12239ddb92 data dictionary] found on the open data portal for more details.

* Deeds have been recorded in Allegheny County since 1788. Early sales may not be seen in the electronic system, and may default to a 1950 sale date.

* Commercial building data does not appear on the County website since they are often comprised of multiple buildings on one property and multiple uses within the same building (a one-to-many problem). Approximately 90% of the parcels in Allegheny County are classed as residential.

* Homestead exemption flags may not immediately appear in the data following the County’s approval of an application. Using the Homestead exemption flag to determine homeownership of a property shortly after a property’s sale may not accurately represent homeownership status of the property. Please keep in mind that not all homeowners file an application for the Homestead exemption.

* Locally offered abatement or exemption programs (by school and/or municipality) will not be represented in County Assessed values.

* Sales recorded in deed records and captured in the [https://data.wprdc.org/dataset/real-estate-sales property sales dataset] may not appear in the assessment dataset if these properties have not yet been assigned an assessed value for taxation purposes. The absence of an assessed value does not prevent a sale from being recorded.

== Additional applications of the data ==
Assessment data has been used in numerous ways beyond its original purpose by a number of users. Some examples are listed below based on prior uses of data involving the University Center for Social and Urban Research at the University of Pittsburgh and project partners. If you know of any additional uses of this dataset that aren’t included here, we’d like to share them in this document. Please contact us at the Western Pennsylvania Regional Data Center (wprdc@pitt.edu).

=== Identify Vacant Land ===
The land use fields (“USECODE” and “USEDESC”) include publicly-owned property as a land use. For this reason, the land use field has limited applicability to the types of land uses common among publicly-owned properties, including government facilities, parks, un-buildable property such as hillsides, and land that once held structures but is now vacant.[[File:Gtech 2014 vacant land survey.jpg|thumb|Results of 2014 GTECH Vacant Land Survey with Building Assessed Value|396x396px]]

Three municipalities in Allegheny County tax land and buildings at different rates. For this reason, the assessment file contains a “FAIRMARKETLAND,” “FAIRMARKETBUILDING,” and “FAIRMARKETTOTAL” (total = land + building) value. To identify vacant land, the split land/structure valuation has been used with good reliability. Ground-truthing efforts on properties whose “FAIRMARKETBUILDING” = 0 have shown that they typically do not have a structure. In 2014, a comprehensive survey of vacant parcels in the North Side of Pittsburgh was conducted by [https://gtechstrategies.org/ GTECH Strategies] (GTECH). GTECH’s data collection efforts targeted properties whose building assessment (FAIRMARKETBUILDING) =0. They hired and trained neighborhood residents to collect the data. Of the 6,882 parcels with an assessed building value of “0,” 4,791 (70%) did not contain a structure. Many of the remaining 2,699 parcels were also vacant, but apparently were not included in the survey as they were located in a railroad or utility right of way, were a park, cemetery, or condominium common property. The locations of these parcels can be seen in Figure 1.

GTECH surveyors also found 559 properties that did not have a structure, but had a building value greater than “0” according to assessment records. In looking at the GTECH classifications on these parcels, 217, or 39% were parking lots. In the assessment data, these often had a land use code of “parking lot” or “comm aux building.” At the time, GTECH was not aware that commercial properties in Allegheny County include a valuation of all improvements, including paving, fences, retaining walls, etc. as mentioned earlier in this document.

The results of the GTECH survey suggest using a zero value in the assessment’s “FAIRMARKETBUILDING” field can reliably be used to identify vacant land in Allegheny County, especially among non-commercial properties. Figure 1 shows the results of the GTECH survey on a map in conjunction with the building assessment. To account for improvements on commercial vacant land (whose “FAIRMARKETBUILDING” value may be greater than zero), additional ground-truthing can be done on properties with a very low building value, or where the County’s land use code is consistent with a reasonable definition of a vacant property land use.
=== Owner-Occupied Properties ===
Staff at [https://operationbetterblock.com/ Operation Better Block] in Homewood have compared the property address with the owner’s address (using the four “CHANGENOTICE” fields as a proxy for owner’s address) to identify residential properties that may be owner-occupied. Staff then looked at the Homestead flag on the property to identify homeowners that had not filed for the exemption. Staff and volunteers with Operation Better Block then contacted these residents and helped them complete Homestead exemption forms (note: the Homestead exemption may only be claimed once, even if someone lives part time in another location they own – anywhere in the United States).

=== Investor-Owned Properties ===
It may be possible to identify investor-owned residential properties using several fields in the assessment data. Given that not all eligible owners apply, relying solely on the lack of a Homestead flag does not provide enough certainty when working to identify investors. To begin, look at all residential properties using the “CLASSDESC” field to limit the search to privately owned properties (please note that condominium units are classified as residential, but apartment buildings with five or more units, or mixed-use residential parcels are categorized as “commercial” in the “CLASSDESC” field). Then, for all properties without a Homestead flag (“HOMESTEAD”<> “HOM”), compare the property address and owner’s address (using the four “CHANGENOTICE” fields as a proxy for owner’s address). If the addresses do not match and there is no Homestead exemption, this may provide an indication that the residential properties may be investor-owned. This data can be used to get a sense of neighborhood housing market dynamics and to develop informed investor housing strategies.

For a guide to developing an investor housing strategy, see: https://www.policylink.org/sites/default/files/CI_Treuhaft_et_al.pdf

=== Track Common Ownership Across Multiple Properties ===
Owners of multiple properties can sometimes be linked by a common owner’s address (using the four “CHANGENOTICE” fields as a proxy for owner’s address) across their various holdings, even if the owner’s names appear differently in the assessment data for some of the properties in their portfolio. This data has been useful in proactive code enforcement, as data was recently used to identify the potential holdings of an investor that was cited for not addressing serious condition issues on a rental property in Carrick. In the assessment data, properties held at least in part by this owner were listed under several different corporate names but had a common owner’s address in the assessment record. The owner of the problem property mentioned in the news article was listed as an officer with one of these companies according to [https://file.dos.pa.gov/ incorporations data from the Pennsylvania Department of State].

Please use caution with this technique, as some properties may list the ”CHANGENOTICE” address as either the property manager or the mortgage company, not the property owner. It is best used on properties not managed by a third party, and owned free and clear.

Related news story: [http://www.post-gazette.com/local/city/2014/05/08/Carrick-landlord-fined-for-health-code-violations/stories/201405080295 Carrick Landlord Fined for Health Code Violations]

=== Publicly-Owned Properties ===
The “CLASS” and “USEDESC” fields can both be used to identify publicly-owned property. Setting the “CLASS” = G (Government) should provide a comprehensive list of public property. The “USEDESC” field can then be used to identify the type of public ownership (state, county, local, etc.).

== Appendix: Listing of Field Values ==
Please see the [https://data.wprdc.org/dataset/property-assessments Property Assessment Data Dictionary] on the data portal for a list of fields and example values.

=== Acknowledgements ===
Thank you to all our contributors, especially the dedicated staff at the Allegheny County Office of Property Assessments for co-authoring this document. We’d also like to thank Operation Better Block and GTECH Strategies for sharing their data stories with us.

Allegheny County Property Assessment Data User Guide

2022-12-21T22:51:16Z

Rossr: Created page with "This user guide for Allegheny County Assessment Data is intended to go beyond metadata and provide consumers of the data set a sense of the purpose for which the data was coll..."

This user guide for Allegheny County Assessment Data is intended to go beyond metadata and provide consumers of the data set a sense of the purpose for which the data was collected, the business processes, software, and applicable standards involved with the data, suggested applications for the data (and how to use it), and other details so the expectations and outcomes of data users are improved.

== Original Purpose and Application ==
This database is used by the Office of Property Assessments (OPA) to administer the property assessment system in Allegheny County, PA, including the appeals process. The data is distributed for use by local taxing bodies (county, municipalities and school districts) for taxation. Independent downstream recipients of the data may use it to facilitate code enforcement, real estate market research, title searches, or trends in urban planning, etc.

== History of the data and current format ==
The electronic format came into use beginning with the 2002 county reassessment with Sabre Systems. It was then migrated to CLT’s iasWorld product. An updated application interface and assessment values were created in 2012 as part of the most recent County wide reassessment.

== Organizational Context ==
Assessment and taxation are in two different departments for Allegheny County. OPA passes information to the Treasurer for the collection of County taxes, and to school districts and municipalities for their taxation requirements. This includes the annual certified values and subsequent changes throughout the year from permits and appeals.

Assessments and county tax payment information were made available online with a joint web application known as the ‘Real Estate Website’ in an effort to improve transparency to constituents. The database became searchable online in 2001. At that time anyone could search the database by name, address, or property ID number and obtain that property’s assessed value. County officials removed information about 100 judges from the database four years later due to security concerns after judges in Chicago and Atlanta were tracked down and murdered. Law enforcement officers then requested their names to be removed from the searchable records as well. In 2007 County Council voted to remove the search-by-name function for all property owners from the online property assessment database.

<nowiki>*</nowiki>Information from the from CMU report: https://www.cylab.cmu.edu/files/pdfs/tech_reports/CMUCyLab11015.pdf

== Work Flow ==
The Department of Real Estate (DRE) collects ownership and sales records in their system when a deed is recorded. There is no legal requirement to record a deed within a set window from the sale date, so there may be a delay of months or years before a sale is shown in the supporting applications. Once it is recorded, the sale and ownership information is then updated into OPA’s system and passed to the Treasurer’s Office. The frequency of this data reconciliation between the DRE and OPA varies, but normally happens within two weeks of the recording date.

If a residence that has the Homestead exemption (Act 50) is sold, it is flagged so the homestead is removed for the following tax year. New owners must file to obtain the exemption on the parcel in their name for the new tax year if they wish to claim the exemption. This information is passed onto School Districts so they may process it for additional Act 1 exemption if applicable.

Applications for the various exemption and abatement programs have differing deadlines and limitations, some of which are voted on annually. Please see the [https://www.alleghenycounty.us/real-estate/abatements-exemptions/index.aspx county website] for current program availability.

Changes to property value and certain characteristics (like Land Use Codes) flow through a posting process before they can be seen in the distributed data venues such as the Western Pennsylvania Regional Data Center or the County Website. Data is collected via assessors and the appeal process.

Some municipalities share permit and demolition data regularly. The overall process would benefit from a unified approach to permitting, reporting, and data sharing. This would increase accuracy of assessments and improve data quality – capturing new construction and demolitions in a timely fashion.

== Standards and formats used ==
Parcel ID numbers are 16 alpha-numeric characters and are often derived from Map Lot & Block numbers. New Parcel IDs are created as needed by the Department of Real Estate when new parcels are created.

Parcel ID numbers are the primary key linking assessment data with Allegheny County’s parcel GIS files. Former naming conventions (pseudo-numbers) may be used for searching in limited cases.

== Things to know about the data, including limitations ==

* Assessed Values are often not the same as the Market Value of a property, and the two may NOT be used interchangeably. Assessed Values are built upon a Base Year methodology. Allegheny County’s current base year is 2012 with an effective date of value of January 1, 2012.

* Assessments are an opinion of value, based on many factors like neighborhoods and land characteristics and facilitated by mass appraisal software. Conditions and factors are ever changing and property owners have the right to appeal each year, regardless of the outcome, actions, or inaction from preceding years.
* For commercial properties all improvements are assessed, not just buildings. That includes things like paving, fences, retaining walls, etc…

* Base Year values are subject to ongoing maintenance throughout the year. In accordance with the County's Administrative Code and State statutes, values may be adjusted for the following reasons:

# The Office of Property Assessments can adjust Base Year values through the administrative change process for omissions, mathematical or clerical errors.
# Base Year values can also be adjusted due to a change in the physical nature of the property such as building permits for additions or demolitions, or due to recorded subdivision plans.

* As discussed in the Organizational Context section, a 2007 County Council law prohibits the Office of Property Assessments from making the database searchable online by owner name. To comply with this law OPA has removed owner names from this data release.

* Owner names are entered as recorded on the deed filed by the owner in the Department of Real Estate. The County is not permitted to standardize entries among common owners, or even fix deed spelling errors. For this reason, the data appearing on the County website shows data as deeded. Some owners, such as Ross Township, are listed in numerous ways, such as “ROSS TOWNSHIP”, “TOWNSHIP OF ROSS”, “TOWNSHIP OF ROSS (THE)”, and “TWP OF ROSS.” If an owner wants a name changed, added, or removed, a new deed must be prepared and recorded. You may wish to consult an attorney before preparing a new deed.

* Land Use Codes (“USECODE” and “USEDESC”) normally indicate the way the structure on the parcel is being used, such as Single Family Dwelling. In some cases it will refer to condition or ownership indicators instead, such as “government owned” or “condemned”. Codes and their usage may change per system and reporting requirements. Please check the [https://data.wprdc.org/dataset/property-assessments/resource/f2b8d575-e256-4718-94ad-1e12239ddb92 data dictionary] for more details.

* Interior access is not routine once a residence is occupied so internal property details have not been verified by OPA in most cases. However the number of bedrooms and similar interior detail has little if any impact on the assessed value of the property. OPA estimates overall living area via exterior measurements, taken either on-site or via aerial photography. Commercial properties have interior reviews to determine accurate usage and income.

* Condition is a subjective indication of the status of the structure on a parcel, where grade refers both to the quality of construction materials and techniques. The condition field (“CDU” or “CONDITIONDESC”) represents a combination of three factors: Condition, Desirability and Utility, with the weight on Condition. Please see the [https://data.wprdc.org/dataset/property-assessments/resource/f2b8d575-e256-4718-94ad-1e12239ddb92 data dictionary] found on the open data portal for more details.

* Deeds have been recorded in Allegheny County since 1788. Early sales may not be seen in the electronic system, and may default to a 1950 sale date.

* Commercial building data does not appear on the County website since they are often comprised of multiple buildings on one property and multiple uses within the same building (a one-to-many problem). Approximately 90% of the parcels in Allegheny County are classed as residential.

* Homestead exemption flags may not immediately appear in the data following the County’s approval of an application. Using the Homestead exemption flag to determine homeownership of a property shortly after a property’s sale may not accurately represent homeownership status of the property. Please keep in mind that not all homeowners file an application for the Homestead exemption.

* Locally offered abatement or exemption programs (by school and/or municipality) will not be represented in County Assessed values.

* Sales recorded in deed records and captured in the [https://data.wprdc.org/dataset/real-estate-sales property sales dataset] may not appear in the assessment dataset if these properties have not yet been assigned an assessed value for taxation purposes. The absence of an assessed value does not prevent a sale from being recorded.

== Additional applications of the data ==
Assessment data has been used in numerous ways beyond its original purpose by a number of users. Some examples are listed below based on prior uses of data involving the University Center for Social and Urban Research at the University of Pittsburgh and project partners. If you know of any additional uses of this dataset that aren’t included here, we’d like to share them in this document. Please contact us at the Western Pennsylvania Regional Data Center (wprdc@pitt.edu).

=== Identify Vacant Land ===
The land use fields (“USECODE” and “USEDESC”) include publicly-owned property as a land use. For this reason, the land use field has limited applicability to the types of land uses common among publicly-owned properties, including government facilities, parks, un-buildable property such as hillsides, and land that once held structures but is now vacant.

Three municipalities in Allegheny County tax land and buildings at different rates. For this reason, the assessment file contains a “FAIRMARKETLAND,” “FAIRMARKETBUILDING,” and “FAIRMARKETTOTAL” (total = land + building) value. To identify vacant land, the split land/structure valuation has been used with good reliability. Ground-truthing efforts on properties whose “FAIRMARKETBUILDING” = 0 have shown that they typically do not have a structure. In 2014, a comprehensive survey of vacant parcels in the North Side of Pittsburgh was conducted by [https://gtechstrategies.org/ GTECH Strategies] (GTECH). GTECH’s data collection efforts targeted properties whose building assessment (FAIRMARKETBUILDING) =0. They hired and trained neighborhood residents to collect the data. Of the 6,882 parcels with an assessed building value of “0,” 4,791 (70%) did not contain a structure. Many of the remaining 2,699 parcels were also vacant, but apparently were not included in the survey as they were located in a railroad or utility right of way, were a park, cemetery, or condominium common property. The locations of these parcels can be seen in Figure 1.

GTECH surveyors also found 559 properties that did not have a structure, but had a building value greater than “0” according to assessment records. In looking at the GTECH classifications on these parcels, 217, or 39% were parking lots. In the assessment data, these often had a land use code of “parking lot” or “comm aux building.” At the time, GTECH was not aware that commercial properties in Allegheny County include a valuation of all improvements, including paving, fences, retaining walls, etc. as mentioned earlier in this document.

The results of the GTECH survey suggest using a zero value in the assessment’s “FAIRMARKETBUILDING” field can reliably be used to identify vacant land in Allegheny County, especially among non-commercial properties. Figure 1 shows the results of the GTECH survey on a map in conjunction with the building assessment. To account for improvements on commercial vacant land (whose “FAIRMARKETBUILDING” value may be greater than zero), additional ground-truthing can be done on properties with a very low building value, or where the County’s land use code is consistent with a reasonable definition of a vacant property land use.
[[File:Gtech 2014 vacant land survey.jpg|thumb|Results of 2014 GTECH Vacant Land Survey with Building Assessed Value]]

=== Owner-Occupied Properties ===
Staff at [https://operationbetterblock.com/ Operation Better Block] in Homewood have compared the property address with the owner’s address (using the four “CHANGENOTICE” fields as a proxy for owner’s address) to identify residential properties that may be owner-occupied. Staff then looked at the Homestead flag on the property to identify homeowners that had not filed for the exemption. Staff and volunteers with Operation Better Block then contacted these residents and helped them complete Homestead exemption forms (note: the Homestead exemption may only be claimed once, even if someone lives part time in another location they own – anywhere in the United States).

=== Investor-Owned Properties ===
It may be possible to identify investor-owned residential properties using several fields in the assessment data. Given that not all eligible owners apply, relying solely on the lack of a Homestead flag does not provide enough certainty when working to identify investors. To begin, look at all residential properties using the “CLASSDESC” field to limit the search to privately owned properties (please note that condominium units are classified as residential, but apartment buildings with five or more units, or mixed-use residential parcels are categorized as “commercial” in the “CLASSDESC” field). Then, for all properties without a Homestead flag (“HOMESTEAD”<> “HOM”), compare the property address and owner’s address (using the four “CHANGENOTICE” fields as a proxy for owner’s address). If the addresses do not match and there is no Homestead exemption, this may provide an indication that the residential properties may be investor-owned. This data can be used to get a sense of neighborhood housing market dynamics and to develop informed investor housing strategies.

For a guide to developing an investor housing strategy, see: https://www.policylink.org/sites/default/files/CI_Treuhaft_et_al.pdf

=== Track Common Ownership Across Multiple Properties ===
Owners of multiple properties can sometimes be linked by a common owner’s address (using the four “CHANGENOTICE” fields as a proxy for owner’s address) across their various holdings, even if the owner’s names appear differently in the assessment data for some of the properties in their portfolio. This data has been useful in proactive code enforcement, as data was recently used to identify the potential holdings of an investor that was cited for not addressing serious condition issues on a rental property in Carrick. In the assessment data, properties held at least in part by this owner were listed under several different corporate names but had a common owner’s address in the assessment record. The owner of the problem property mentioned in the news article was listed as an officer with one of these companies according to [https://file.dos.pa.gov/ incorporations data from the Pennsylvania Department of State].

Please use caution with this technique, as some properties may list the ”CHANGENOTICE” address as either the property manager or the mortgage company, not the property owner. It is best used on properties not managed by a third party, and owned free and clear.

Related news story: [http://www.post-gazette.com/local/city/2014/05/08/Carrick-landlord-fined-for-health-code-violations/stories/201405080295 Carrick Landlord Fined for Health Code Violations]

=== Publicly-Owned Properties ===
The “CLASS” and “USEDESC” fields can both be used to identify publicly-owned property. Setting the “CLASS” = G (Government) should provide a comprehensive list of public property. The “USEDESC” field can then be used to identify the type of public ownership (state, county, local, etc.).

== Appendix: Listing of Field Values ==
Please see the [https://data.wprdc.org/dataset/property-assessments Property Assessment Data Dictionary] on the data portal for a list of fields and example values.

=== Acknowledgements ===
Thank you to all our contributors, especially the dedicated staff at the Allegheny County Office of Property Assessments for co-authoring this document. We’d also like to thank Operation Better Block and GTECH Strategies for sharing their data stories with us.

File:Gtech 2014 vacant land survey.jpg

2022-12-21T22:50:22Z

Rossr:

A map of Pittsburgh's North Side showing the assessment of vacant parcels

City of Pittsburgh 311 Data User Guide

2022-12-21T22:23:48Z

Rossr: Created page with "This User Guide for City of Pittsburgh 311 data provides consumers of the data with background information on why the data is collected, the business processes, software, and..."

This User Guide for City of Pittsburgh 311 data provides consumers of the data with background information on why the data is collected, the business processes, software, and applicable standards involved with the data, suggested applications for the data (and how to use it), and other important details. It’s our hope that User Guides will improve the quality and outcomes of 311 data applications.

== Original Purpose and Application ==
Much like the 911 phone number is universal in the U.S. to report an emergency, the 311 system is a phone number people can use for non-emergency service requests. Baltimore, MD was the first U.S. City to implement a 311 system beginning in 1996.

The process in-use in Pittsburgh is used to not only record requests for service, the 311 system is used internally by the City to manage work orders generated by requests, and provide feedback to the person requesting service. The 311 system can also be used to measure the City’s performance in customer response.

== History, Standards, and Format ==
Pittsburgh’s 311 system was first launched in 2006 by internal City staff. It initially operated as a phone, email, “snail mail”, and walk in system, and complaints were routed internally by City staff via a database and software that was designed in-house in the late 1980’s.

Before the 311 system was implemented, there was a Mayor’s Service Center (MSC) that also used the antiquated software. The MSC was dissolved by Mayor Tom Murphy before he left office in 2005. In the interim between the closing of the MSC and the start up of 311, the software was used as a work order system by some of the city departments.

in 2015, software developed by [https://www.qscend.com/ Qscend Technologies, Inc]. software was purchased to manage the 311 system. It’s unclear to what extent the software conforms to existing 311 data standards, however this will be information that we hope to include in a future update of this document.

Request categories are developed by the City of Pittsburgh, with input from department directors. Each category is linked to a department charged with responding to the service request. 311 has the ability to add and modify the categories as necessary, and the definition of some of the categories may differ between City staff and residents. The supporting documentation on the Western Pennsylvania Regional Data Center’s open data portal includes a [https://docs.google.com/spreadsheets/d/1DTDBhwXj1xQG1GCBKPqivlzHQaLh2HLd0SjN1XBPUw0/edit#gid=0 codebook] of issue types and definitions.

== Organizational Context ==
The 311 response system operates within the Department of Innovation & Performance. The City has budgeted for up to 12 staff in the 311 Response Center. Twelve staff are working with the 311 system. The phone service is staffed between 7am and 7pm Monday-Friday.

The City of Pittsburgh uses 311 data to not only manage requests for service, but also to track performance and determine how to allocate resources within agencies. The City is also interested in learning more about how 311 reporting rates differ across neighborhoods.

As more and more cities have adopted 311 systems, a community of practice has emerged to allow managers in different cities to learn from one another. City staff participate in the [https://www.agccp.org/ Association of Government Contact Center Professionals].

== Work Flow ==
Today, the 311 system accepts service requests over the phone, through the internal 311 call center, [https://pittsburghpa.gov/311/form Web interface], [https://twitter.com/Pgh311 Twitter], occasional email requests, or letters in the mail. Other departments are also able to submit requests as well. A mobile application has also been launched by the City on March 11, 2016.

Registered users of the Web-based system are able to track their requests through completion, however registration is not required to submit a complaint.

Users requesting service through the Web form are able to select their own service type through a drop-down menu. Requests coming through other sources are assigned a service type by 311 staff. About 5%-10% of all Web-based requests are assigned an improper classification by the person making the request. When an incorrect referral is made, 311 is notified by the department receiving the initial submission, the request is reclassified by 311 staff, and re-routed to the appropriate department.

Requests are geocoded through the Qscend software based on the address provided by the person requesting service. The software notify 311 representatives of similar requests in a nearby geographic area. 311 Staff are then able to link similar requests in the system to reduce duplication of requests.

The person making the request for service will receive a case ID number as a reference if they’d like to check the status of the request. They can also provide their email address to receive automatic notifications as requests are filled.

The business processes related to responding to service requests differ by department, but all departments use the 311 system as the source for work orders. Departments also provide notification through the 311 system after work is complete.

The Department of Permits, Licenses, and Inspections (PLI) is currently the only department with full 311 digital integration into their business processes. The workflow begins with PLI assigning a parcel number to each property service request. As inspections are performed, violations are found, and other actions occur, PLI software systems are able to track a complaint as it moves through a process of inspections, violations, and other actions. These actions are all linked with the 311 request, and notifications are provided to the person requesting service.

The Department of Public Works (DPW) has not yet integrated 311 with the Cartegraph system. As of December 2015, requests sent to DPW are printed by a clerk at each division, and then assigned on paper to work crews. Completed work orders are returned on paper to clerks at each division, who enter data into the system. There can be a lag of up to a week in the data entry process. 311 helps departments with data entry as requested. Once the 311 system is digitally integrated into DPW operations, work crews will be able to receive and respond to service requests in the field.

== Things to know about the data, including limitations ==

* As identified through the City’s legal review process, the specific geographic location of 311 complaints are not publicly shared due to concerns over privacy.

* On the W[https://data.wprdc.org/dataset/311-data estern Pennsylvania Regional Data Center open data portal], fields for neighborhoods, 2010 census tract, Council District, police zone, DPW division, and PLI division have been appended to all records. This information is generated by an automated Extract Transform Load process based on the (coordinate) location of the complaint. Data on the data portal updates hourly.

* Coordinates were added to the 311 open data file on October 12, 2016. For some less-sensitive request types, actual coordinates appear in the 311 open data. For more sensitive requests, coordinates representing the approximate location of the complaint are shared to protect the identity of the person making the complaint. The data file indicates whether exact or approximate coordinates have been included.

* Errors may have been created through the City’s geocoding process.

* The City's 311 system is not integrated with Allegheny County for County-owned roads, the Pennsylvania American Water Co., State DOT, or utility companies (gas/electric) - most of these can be forwarded by email, but the State Department of Transportation system only is capable of handling phone referrals. In this case, the person making the request is provided with the State DOT customer service phone number (1-800 FIX-ROAD), and the request is closed on the City’s 311 System.

* For the year ending March 7, 2016 48,710 311 requests were received. The highest volume of service requests (73%) were made by phone, with 18% coming through the Web. It’s common for some calls to result in multiple requests.

[[File:311 requests.png|thumb|A graph showing the 20 most common requests submitted in the year ending on March 7, 2016]]

* Potholes are the most-frequently requested type of service, accounting for nearly one in five 311 requests filed in the year ending on March 7, 2016. A graph showing the 20 most common requests submitted over this period appears below.

* Requests will peak during a City pothole blitz or snow event. For one storm occurring January 12, 2016, the volume of 311 requests was three times higher the day of the event. About 80 percent of requests received by 311 on these days were snow and ice related. The volume of total requests remained higher than normal for a few days following the storm.
* The City does not prioritize requests based on the number of complaints received about a particular issue.
* The City has no 311 marketing budget. Promotion occurs through community meetings and events, twitter, word-of-mouth, the City’s cable channel, and also included with the City’s printed environmental services schedule (distributed annually).
* Calls originating outside the City are accepted. The 311 system does not block calls from outside the City.
* If a request for service is made for an issue occurring outside the City, the 311 staff will share the phone number of the appropriate municipality with the caller.
* Requests for work performed by outside organizations are often received. The system is integrated with the [http://www.pgh2o.com/ Pittsburgh Water and Sewer Authority], and 311 is also handling intake with the [https://pittsburghpa.gov/snowangels/ Snow Angels program], which matches volunteers with residents unable to shovel their own snow. The City also forwards requests for street light repairs to Allegheny City Electric, the City’s lighting contractor.
* A status field for requests was added to the data several years after it was first published. Options are 0, 1, and 3 and where 0 = New, 1 = Closed, 3 = Open). To change from Open to In Progress requires some sort of activity - something as minor as printing the request will move the request status from New to Open. Closing requests is done manually by the department. For long term issues, or issues where a request may not be able to closed for several months (for example a paving request received in November), 311 closes the request with a notation that it will be evaluated at a later date. In the paving example, the Asphalt Crew can easily pull the list of requests and evaluate a course of action even if the request had been closed.
** Other special cases that impact open/closed requests relate to DOMI, where landslide remediation may require capital budget funding, or PLI, where requests are not automatically closed when the complaint reaches the courts. Hopefully, this latter case will be addressed through future software/process improvements.
** A new status code of “On Hold” will debut, likely in 2020. This status allows the City to hold the request with no time counted against it until it can be completed at a later date - for example, a request for graffiti removal received in January, where conditions aren’t appropriate to complete the request.

== Additional Applications ==
Some neighborhood organizations will conduct organized 311 reporting events using resident volunteers. In these situations, residents are encouraged to report issues directly through the 311 or 911 system as appropriate.

== Appendix ==
A [https://docs.google.com/spreadsheets/d/1DTDBhwXj1xQG1GCBKPqivlzHQaLh2HLd0SjN1XBPUw0/edit#gid=0 codebook] has been developed for this user guide listing all 311 categories, definitions, and reporting agencies for all issue types.

== Sources/Acknowledgements ==
Thanks to Wendy Urbanic, 311 Manager, and Tara Matthews, Innovation & Performance Analyst, of the City of Pittsburgh Department of Innovation and Performance for their contributions to this document.

File:311 requests.png

2022-12-21T22:16:24Z

Rossr:

A bar chart showing the most common 311 requests in Pittsburgh submitted within the year ending March 7, 2016

Crime, Courts, and Corrections:Call for Service

2022-12-21T22:01:20Z

Rossr: Created page with "''This guide is part of a larger guide on Crime, Courts, and Corrections in the City of Pittsburgh.'' In Allegheny County, data on emergency calls for service are managed..."

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh]].''

In Allegheny County, data on emergency calls for service are managed by the Allegheny County Emergency Services. When a 911 call for service is made, dispatchers from the County field the call and direct it to the appropriate police, fire, paramedic, or other emergency responder. While the emergency calls for service data is managed by Allegheny County, it is owned by each municipality receiving the call for service.

Non-emergency calls for service are made through the City of Pittsburgh’s 311 system managed by the City’s Department of Innovation and Performance. Much like the 911 phone number is universal in the U.S. to report an emergency, the 311 system is a phone number people in many cities can use for non-emergency service requests. Baltimore, Maryland was the first U.S. City to implement a 311 system beginning in 1996. The process in-use in Pittsburgh is used to not only record requests for service, the 311 system is used internally by the City to manage work orders generated by requests, provide feedback to the person requesting service, and measure the City’s performance in customer response. The 311 program distributes non-emergency service requests to a number of different departments, including Public Safety, Public Works, and Permits, Licenses, and Inspections. Actual locations of service requests are now available for some request types. Location of other requests have been obfuscated to protect the identity of the person making the complaint. Data is published hourly to the Regional Data Center’s open data portal.

=== What's Included in the Data: ===

===== Publicly Available =====

* 311 non-emergency requests are available as open data

===== Not Publicly Available =====

* No calls for service data is available as open data

=== Where to Find the Data: ===

* [https://data.wprdc.org/dataset/311-data City of Pittsburgh non-emergency service requests] are published through the Western Pennsylvania Region Data Center and are updated hourly.
* The 311 data is also featured on the [https://pittsburghpa.shinyapps.io/BurghsEyeView/ City of Pittsburgh's Burgh's Eye View mapping tool]

=== Things to Know: ===

* The [https://docs.google.com/document/d/1S4uouiP1X06BhJTf-9YPXSAuCDlhousYOn6EpMe-9RM/edit 311 data user guide] contains everything you could ever want to know about 311.

Crime, Courts, and Corrections Guide:Incidents

2022-12-21T21:56:11Z

Rossr: /* Where to Find the Data */

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh]].''

Crime incident reports are often created following a police investigation. Incident reports may also be generated from calls for service.

Incident data is published on a nightly basis by the City of Pittsburgh. The quality of incident level data may improve over time, and data published on the open data portal will reflect these changes. The data is presented in two separate files on the open data portal.

* The Blotter will contain only the previous thirty days of reported crimes.The initial incident data can often change in the month following the initial incident report.Records older than thirty days will be deleted from this file and valid incidents will be moved to the archived dataset.Appropriate use of this file includes notifying community members of recent incidents.
* Once quality control and coding procedures have been run against the data by the Police Bureau, the data will then be published to the archived data file thirty days after the initial report. Data in the archived file will be of greater data quality and is the file most appropriate for reporting crime statistics. Data within this file is also subject to change. Archived data (2005-2015) is also being shared as part of this release.

Pittsburgh Police do respond to incidents outside the City borders from time to time. For this reason, some incidents are mapped to locations outside the City. These can occur when City police assist police in other jurisdictions, when City police pursue a suspect across the City line to another municipality, and when a City officer happens to respond to an incident while outside the City.

=== What's Included in the Data ===

===== Publicly Available =====

* Location generalized to a block (police zone for sex crimes)
* Type of incident
* Date
* Time
* Whether or not the incident has been cleared

===== Not Publicly Available =====

* Victim’s identity
* Actual incident location

=== Where to Find the Data ===

* Most-recent [https://data.wprdc.org/dataset/police-incident-blotter 30 days of incident data (The Blotter)] is published through the Western Pennsylvania Regional Data Center and is updated daily.
* [https://data.wprdc.org/dataset/uniform-crime-reporting-data Uniform Crime Reporting Data Recent Archive (Over 30 days old)] is published through the Western Pennsylvania Regional Data Center and is updated daily.
* [https://pittsburghpa.gov/publicsafety/index.html Pittsburgh Public Safety Press Releases] contain additional information on selected incidents
* This data is also featured on the City of Pittsburgh's [https://pittsburghpa.shinyapps.io/BurghsEyeView/ Burgh's Eye View] mapping tool

=== Things to Know ===

* Sex crimes will only be reported at the police zone level to protect victim confidentiality. All other crimes will be reported at the block level (based on street address range).
* Incident data is published using the UCR hierarchical classification system developed by the FBI. Multiple crimes may be included in the same incident, and incidents are coded by the highest-level offense.
* Unfounded incidents will be removed from the database. As the status or classification of an incident changes, these changes will be reflected on the open data portal. When using data, it is a good practice to cite when it was accessed.
* Incidents solely reported by other police departments operating in the City (campus police, Port Authority, etc) are not captured in this data.
* Archived data (2005-15) may first be published without coordinates, but coordinates will be made available as additional geocoding processes are run on the data.
* Not all incidents are reported. Incident reporting rates may vary from one community or person to the next.

Crime, Courts, and Corrections Guide:Victimization

2022-12-21T21:53:45Z

Rossr: /* Where to Find the Data */

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh]].''

Information on crime victims at a national level is available through the U.S. Census Bureau and the Bureau of Justice Statistics. Both agencies collaborate to collect data from a sample of U.S. residents in the National Crime Victimization Survey.<ref>http://www.bjs.gov/index.cfm?ty=dcdetail&iid=245</ref> The survey collects data on the age, sex, race and Hispanic origin, marital status, education level, and income of people in the sample, and asks whether they have been a recent victim of crime. For each incident, the Victimization Survey also includes information about the offender (age, race and Hispanic origin, sex, and victim-offender relationship), details about the crime (including time and place of occurrence, use of weapons, nature of injury, and economic consequences), whether the crime was ever reported to police (or reasons for not reporting), and the experiences of the victim with the criminal justice system.

According to summary statistics from the National Crime Victimization Survey<ref>http://www.bjs.gov/content/pub/pdf/cv14.pdf</ref>, a large number of crimes go unreported, In 2014, 46% of violent crimes and 37% of property crimes were reported to police nationwide. The levels of reporting can also vary considerably by the individual types of crimes. Within the violent crime category, 61% of robberies but only 34% of rape/sexual assault incidents are reported to police. A similar variance can also be seen in property crime, where 60% of burglaries and 83% of motor vehicle thefts are reported, but law enforcement is notified of only 29% of thefts. This level of non-reporting should be taken into account when evaluating victimization statistics from local data sources.

Data on the victims of reported homicides in Pittsburgh and in Allegheny County is available through an interactive data visualization developed by the Allegheny County Department of Human Services. This data is collected from crime reports, and is reported by municipality in the County dashboard, and by neighborhood in the City dashboard. Details include age, race, and gender of the victim.

=== What's Included in the Data ===

===== Publicly Available =====

* Total victims
* Age of victims
* Race of victims
* Gender of victims

===== Not Publicly Available =====

* Specific identity of the victims

=== Where to Find the Data ===

* [http://www.bjs.gov/index.cfm?ty=dcdetail&iid=245 Data from the National Crime Victimization Survey is available from the Federal Bureau of Justice Statistics]
* Data on victims of homicide in the [https://tableau.alleghenycounty.us/t/PublicSite/views/CJ_Homicides_PGH_8-22-17_v2/Home?%3Aembed=y&%3AshowAppBanner=false&%3AshowShareOptions=true&%3Adisplay_count=no&%3AshowVizHome=no City] and [https://tableau.alleghenycounty.us/t/PublicSite/views/Homicides_In_Allegheny_County/HomicideTrends?iframeSizedToWindow=true&%3Aembed=y&%3AshowAppBanner=false&%3Adisplay_count=no&%3AshowVizHome=no County] are available through separate data visualizations developed by the Allegheny County Department of Human Services. Data is available beginning in 2010.

=== Things to Know ===

* Allegheny County and City of Pittsburgh data is generated by the Allegheny County Office of the Medical Examiner
* Only homicide victims are included in the City of Pittsburgh and Allegheny County data.

== References ==

Crime, Courts, and Corrections in the City of Pittsburgh

2022-12-21T21:14:43Z

Rossr: /* Crime in Pittsburgh */

This guide to Crime, Courts, and Corrections was created to make it easier to find, understand, and use information about public safety in the City of Pittsburgh, and the criminal justice and corrections systems in Allegheny County and the State of Pennsylvania. While public agencies are now sharing a growing amount of data, this information does not have value to most people without context or an understanding of underlying systems, laws, policies, and processes.

Release of the data in this document allows the City to be a participant in the National Police Data Initiative. Founded in 2015, the Initiative is an outgrowth of President Obama’s Task Force on 21st Century Policing designed to reduce crime by building trust between citizens and police. Information sharing is viewed as a major trust-building step law enforcement organizations can take, and over 50 jurisdictions are now participating in the Initiative. For more information, please see the National Police Data Initiative’s FAQ.

The Western Pennsylvania Regional Data Center is pleased to have worked with our City and County partners to publish much of the information referenced in this guide as open data. We’re also grateful to have had their help in assembling and editing this document. This guide also illustrates a critical partnership between the City’s Bureau of Police and the County Department of Human Services. Many of the tools featured in this guide were developed through this City-County collaboration.

This guide was inspired by Crime and Punishment in Chicago, a Website developed by the Smart Chicago Collaborative.

= Tools =
A number of tools have been developed to make it easier for people to use and understand the data contained in this guide, and a growing number of these tools are being developed by public sector staff at the City and County, the university community, journalists, and civic technologists. We’ve included links to some of them here. Please let us know if there are others that should be included in this list.

=== Allegheny County Jail Population Management Dashboards ===
Allegheny County developed a series of [https://tableau.alleghenycounty.us/t/PublicSite/views/AC_JailPopulationManagement_Final/Home?iframeSizedToWindow=true&:embed=y&:showAppBanner=false&:display_count=no&:showVizHome=no publicly available, interactive dashboards] to allow users to explore different aspects of the Allegheny County Jail population. Dashboards provide information on the daily population, alternative housing, bookings, releases, length of stay, service usage, and involvement with the justice system prior to booking.

=== City of Pittsburgh Annual Police Statistical Reports ===

* [https://apps.pittsburghpa.gov/redtail/images/6371_2018_Annual_Report_Draft_-_Final.pdf 2018 Annual Report]
* [https://apps.pittsburghpa.gov/redtail/images/4801_2017_Annual_Report_Final_1.3.19.pdf 2017 Annual Report]
* [https://apps.pittsburghpa.gov/redtail/images/1236_2016_Annual_Report.pdf 2016 Annual Report]
* [http://apps.pittsburghpa.gov/pghbop/ANNUAL_REPORT_DRAFT_2015_May_31.pdf 2015 Annual Report]
* [http://apps.pittsburghpa.gov/pghbop/2014_Annual_Report_Final_draft.pdf 2014 Annual Report]
* [http://apps.pittsburghpa.gov/dps/2013_Annual_Report_draft_(final).pdf 2013 Annual Report]
* [http://apps.pittsburghpa.gov/pghbop/2012_Annual_Report_v2.pdf 2012 Annual Report]

=== Homicides ===
Homicide information in the [https://tableau.alleghenycounty.us/t/PublicSite/views/CJ_Homicides_PGH_8-22-17_v2/Home?%3Aembed=y&%3AshowAppBanner=false&%3AshowShareOptions=true&%3Adisplay_count=no&%3AshowVizHome=no City of Pittsburgh] and [https://tableau.alleghenycounty.us/t/PublicSite/views/Homicides_In_Allegheny_County/HomicideTrends?iframeSizedToWindow=true&%3Aembed=y&%3AshowAppBanner=false&%3Adisplay_count=no&%3AshowVizHome=no Allegheny County] are available through two separate dashboards. Data for the City dates back to 2010, with data from the County available as early as 2007. These tools include data on the number of homicides, clearance rates, weapons used, time of the incident, day of the week, demographics on victims and perpetrators, and benchmarks to other cities. They were developed through a collaboration of the Allegheny County Department of Human Services and the Allegheny County Office of the Medical Examiner.

=== Gun Violence ===
Learn more about gun violence in your neighborhood on [https://tableau.alleghenycounty.us/t/PublicSite/views/CJ_GunViolence_PGH_8-22-17_v2/Home?:embed=y&:showAppBanner=false&:showShareOptions=true&:display_count=no&:showVizHome=no this dashboard developed by the Allegheny County Department of Human Services and the City of Pittsburgh]. This tool includes data on shootings, aggravated assaults involving a gun, and shots fired. The data, available back to 2010 also includes information on the time of day shootings occur.

=== Overall Trends in Violence ===
[https://tableau.alleghenycounty.us/t/PublicSite/views/CJ_Overall_Violence_Trends_PGH_8-22-17_v2/Home?:embed=y&:showAppBanner=false&:showShareOptions=true&:display_count=no&:showVizHome=no This dashboard] contains information on trends in violence by neighborhood back to 2010. The tool contains information on homicides, shootings, assaults, and calls for shots fired, and also includes information on the number of incidents involving the use of a firearm. It was developed through a collaboration of the Allegheny County Department of Human Services and the City of Pittsburgh.

=== Crime in Pittsburgh ===
The [https://tableau.alleghenycounty.us/t/PublicSite/views/CJ_UCR_PGH_8-22-17_v3/Home_1?iframeSizedToWindow=true&%3Aembed=y&%3AshowAppBanner=false&%3Adisplay_count=no&%3AshowVizHome=no&%3Aorigin=viz_share_link Crime Dashboard] provides information on the types of incidents occurring in your neighborhood. The tool developed through a collaboration of the Allegheny County Department of Human Services and the City of Pittsburgh also includes information on the number of crimes cleared, the time that incidents occur, and the victims back to 2005.

=== Burgh's Eye View ===
With [https://pittsburghpa.shinyapps.io/BurghsEyeView/?_inputs_&dates=%5B%222017-02-14%22%2C%222017-02-24%22%5D&dept_select=null&filter_select=%22%22&GetScreenWidth=1920&hier=null&origin_select=null&report_ Burgh's Eye View] you can easily see all kinds of data about Pittsburgh—including 311 requests, building permits, code violations, and public safety incidents.But City data isn’t a log of when and where we put our parking chairs. It’s a huge collection of information about the world around us that can help us understand what’s happening in our neighborhoods, and lead us to ideas and decisions that can make where we live better.

= Data =
This guide contains information on the types of data describing aspects of policing, criminal justice, and corrections system in the City of Pittsburgh, Allegheny County, and Pennsylvania. Each of the categories shown here in this section of the guide describe the types of data that are available, provide links to where it can be found, and describe some additional context to help people use and interpret the data accurately and responsibly.

=== Victimization ===
[[Crime, Courts, and Corrections Guide:Victimization]]

Data on the victims of reported homicides in Pittsburgh is available through an interactive data visualization developed through a partnership of the City of Pittsburgh and Allegheny County Department of Human Services.

=== Incidents ===
[[Crime, Courts, and Corrections Guide:Incidents]]

Crime incident reports are often created following a police investigation. Incident reports may also be generated from calls for service.

'''''Police Incident Blotter data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Prison ===
[[Crime, Courts, and Corrections Guide:Prison]]

The Pennsylvania Department of Corrections manages 25 state correctional institutions and a number of other correctional facilities in Pennsylvania. Data on the monthly prison population by facility, and annual admissions and releases by county are available, along with information on inmates through the State’s Inmate locator tool.

=== Non-Traffic Citations ===
[[Crime, Courts, and Corrections Guide:Non-Traffic Citations]]

Non-Traffic Citations in Pittsburgh are given for minor criminal offenses, and are often called summary offenses. The types of offenses that often result in a citation include loitering, disorderly conduct, harassment, public drunkenness, and low-level retail theft.

'''''Non-Traffic Citation data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Jail ===
[[Crime, Courts, and Corrections Guide:Jail]]

The population of the Allegheny County Jail changes on a daily basis as people are arrested, released on bail, exonerated, sentenced, transferred to another facility, paroled, or released.

'''''Jail Census data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Courts ===
[[Crime, Courts, and Corrections:Courts]]

The Allegheny County Department of Court Records’ Criminal Division is the custodian of criminal records in Allegheny County. While the county manages this information, the data is owned by the Unified Judicial System of Pennsylvania.

=== Call for Service ===
[[Crime, Courts, and Corrections:Call for Service]]

In Allegheny County, data on emergency calls for service are managed by the Allegheny County Emergency Services. Non-emergency calls for service are made through the City of Pittsburgh’s 311 system managed by the City’s Department of Innovation and Performance.

'''''Data for non-emergency 311 calls for service is updated hourly, and can be found on the Regional Data Center’s open data portal.'''''

=== Arrests ===
[[Crime, Courts, and Corrections:Arrests]]

Data on people taken into custody by City of Pittsburgh officers are available as open data. More serious crimes such as misdemeanors and felony offenses are more-likely to result in arrests, however arrests may occur for other reasons such as parole violations or failure to appear for trial.

'''''Arrest data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

= Policies =
Policies and procedures govern the way officers interact with citizens, report incidents, and ensure accountability. Sharing policies and data on police-community interactions demonstrates the desire of City leaders to build trust with residents, and highlights their commitment to transparency.

The City of Pittsburgh is making the following data available on the Regional Data Center’s open data portal:

* [https://data.wprdc.org/dataset/police-community-outreach Police Community Outreach Events]
* [https://data.wprdc.org/dataset/officer-training Officer Training]
* [https://data.wprdc.org/dataset/police-civil-actions Police Civil Action Litigation]
* [http://apps.pittsburghpa.gov/dps/Use_of_Force_in_the_City_of_Pittsburgh.pdf Use of Force]

Property and Housing Guide:Property Sales

2022-12-21T21:14:39Z

Rossr: /* Where to Find the Data */

When a property is sold, a deed is usually filed with the Allegheny County Department of Real Estate. Deeds typically contain details related to the sales transaction including buyer, seller, sales price, and a legal description of the property. Property sales data is widely used to understand housing market dynamics, including sales prices, sales volume, and sales characteristics.

=== What's Included in the Data ===

===== Publicly Available =====

* Parcel ID
* Property Address
* Date of Sale
* Date Deed Recorded
* Sale Price
* Sale Validation Code
* Instrument Type
* School District
* Municipality
* Deed Book and Page

===== Not Publicly Available =====

* Seller Name Unavailable as Open Data
* Buyer Name Unavailable as Open Data

=== Where to Find the Data ===

* [https://data.wprdc.org/dataset/real-estate-sales Sales Transactions as Open Data on the Western Pennsylvania Regional Data Center's Website]
* Parcel Downloader
* Parcel Dashboard
* Median and average sales prices for municipalities, census tracts, and City of Pittsburgh neighborhoods are available in the Southwestern Pennsylvania Community Profiles
* Property Deeds Can be [https://www.alleghenycounty.us/real-estate/obtaining-copies.aspx viewed at no cost by visiting the Department of Real Estate's Offices] in Downtown Pittsburgh. Scanned Property Deeds are available for a fee on the [https://pa_allegheny.uslandrecords.com/palr/ Department of Real Estate Website]
* The [https://data.wprdc.org/dataset/real-estate-sales Property Assessment Data on the Western Pennsylvania Regional Data Center's Website] Includes Data on a Property's Three Most-Recent Sales. This information is also available in the [http://www2.alleghenycounty.us/RealEstate/Default.aspx County's Real Estate Information Portal].

=== Things to Know ===
The Allegheny County Office of Property Assessment captures some of the information included on the deed in a database. The Office uses this data to update ownership records and calculate property valuations. The Office of Property Assessment also makes this information available as open data.

* The Western Pennsylvania Regional Data Center receives monthly updates of transactions where deeds have been recorded as open data, and hosts data for sales occurring since January 1, 2013.
* Names of buyers and sellers have been removed from the open data record due to a County ordinance (3478-07) that prohibits the County from sharing property owner names in a searchable online database.
* Only transactions where a deed has been filed are included in the open data. The filing date may not occur immediately after the sale date, and there is no requirement that a deed be filed following a sale.
* It may take several weeks for a new sale to be recorded in the database maintained by the County Office of Property Assessment.
* When using data to analyze sales trends, consider only including arms-length transactions. These sales are classified as "valid" in the sale description.
* Sales including multiple parcels in the same transaction are recorded in one sales record. There are no separate records for each parcel involved in a multi-parcel sale.

Crime, Courts, and Corrections in the City of Pittsburgh

2022-12-20T22:04:33Z

Rossr: /* Allegheny County Jail Population Management Dashboards */

This guide to Crime, Courts, and Corrections was created to make it easier to find, understand, and use information about public safety in the City of Pittsburgh, and the criminal justice and corrections systems in Allegheny County and the State of Pennsylvania. While public agencies are now sharing a growing amount of data, this information does not have value to most people without context or an understanding of underlying systems, laws, policies, and processes.

Release of the data in this document allows the City to be a participant in the National Police Data Initiative. Founded in 2015, the Initiative is an outgrowth of President Obama’s Task Force on 21st Century Policing designed to reduce crime by building trust between citizens and police. Information sharing is viewed as a major trust-building step law enforcement organizations can take, and over 50 jurisdictions are now participating in the Initiative. For more information, please see the National Police Data Initiative’s FAQ.

The Western Pennsylvania Regional Data Center is pleased to have worked with our City and County partners to publish much of the information referenced in this guide as open data. We’re also grateful to have had their help in assembling and editing this document. This guide also illustrates a critical partnership between the City’s Bureau of Police and the County Department of Human Services. Many of the tools featured in this guide were developed through this City-County collaboration.

This guide was inspired by Crime and Punishment in Chicago, a Website developed by the Smart Chicago Collaborative.

= Tools =
A number of tools have been developed to make it easier for people to use and understand the data contained in this guide, and a growing number of these tools are being developed by public sector staff at the City and County, the university community, journalists, and civic technologists. We’ve included links to some of them here. Please let us know if there are others that should be included in this list.

=== Allegheny County Jail Population Management Dashboards ===
Allegheny County developed a series of [https://tableau.alleghenycounty.us/t/PublicSite/views/AC_JailPopulationManagement_Final/Home?iframeSizedToWindow=true&:embed=y&:showAppBanner=false&:display_count=no&:showVizHome=no publicly available, interactive dashboards] to allow users to explore different aspects of the Allegheny County Jail population. Dashboards provide information on the daily population, alternative housing, bookings, releases, length of stay, service usage, and involvement with the justice system prior to booking.

=== City of Pittsburgh Annual Police Statistical Reports ===

* [https://apps.pittsburghpa.gov/redtail/images/6371_2018_Annual_Report_Draft_-_Final.pdf 2018 Annual Report]
* [https://apps.pittsburghpa.gov/redtail/images/4801_2017_Annual_Report_Final_1.3.19.pdf 2017 Annual Report]
* [https://apps.pittsburghpa.gov/redtail/images/1236_2016_Annual_Report.pdf 2016 Annual Report]
* [http://apps.pittsburghpa.gov/pghbop/ANNUAL_REPORT_DRAFT_2015_May_31.pdf 2015 Annual Report]
* [http://apps.pittsburghpa.gov/pghbop/2014_Annual_Report_Final_draft.pdf 2014 Annual Report]
* [http://apps.pittsburghpa.gov/dps/2013_Annual_Report_draft_(final).pdf 2013 Annual Report]
* [http://apps.pittsburghpa.gov/pghbop/2012_Annual_Report_v2.pdf 2012 Annual Report]

=== Homicides ===
Homicide information in the [https://tools.wprdc.org/guides/public-safety/ City of Pittsburgh] and [https://tableau.alleghenycounty.us/t/PublicSite/views/Homicides_In_Allegheny_County/HomicideTrends?iframeSizedToWindow=true&%3Aembed=y&%3AshowAppBanner=false&%3Adisplay_count=no&%3AshowVizHome=no Allegheny County] are available through two separate dashboards. Data for the City dates back to 2010, with data from the County available as early as 2007. These tools include data on the number of homicides, clearance rates, weapons used, time of the incident, day of the week, demographics on victims and perpetrators, and benchmarks to other cities. They were developed through a collaboration of the Allegheny County Department of Human Services and the Allegheny County Office of the Medical Examiner.

=== Gun Violence ===
Learn more about gun violence in your neighborhood on [https://tableau.alleghenycounty.us/t/PublicSite/views/CJ_GunViolence_PGH_8-22-17_v2/Home?:embed=y&:showAppBanner=false&:showShareOptions=true&:display_count=no&:showVizHome=no this dashboard developed by the Allegheny County Department of Human Services and the City of Pittsburgh]. This tool includes data on shootings, aggravated assaults involving a gun, and shots fired. The data, available back to 2010 also includes information on the time of day shootings occur.

=== Overall Trends in Violence ===
[https://tableau.alleghenycounty.us/t/PublicSite/views/CJ_Overall_Violence_Trends_PGH_8-22-17_v2/Home?:embed=y&:showAppBanner=false&:showShareOptions=true&:display_count=no&:showVizHome=no This dashboard] contains information on trends in violence by neighborhood back to 2010. The tool contains information on homicides, shootings, assaults, and calls for shots fired, and also includes information on the number of incidents involving the use of a firearm. It was developed through a collaboration of the Allegheny County Department of Human Services and the City of Pittsburgh.

=== Crime in Pittsburgh ===
The [https://tableau.alleghenycounty.us/t/PublicSite/views/CJ_UCR_PGH_8-22-17_v3/Home?:embed=y&:showAppBanner=false&:showShareOptions=true&:display_count=no&:showVizHome=no Crime Dashboard] provides information on the types of incidents occurring in your neighborhood. The tool developed through a collaboration of the Allegheny County Department of Human Services and the City of Pittsburgh also includes information on the number of crimes cleared, the time that incidents occur, and the victims back to 2005.

=== Burgh's Eye View ===
With [https://pittsburghpa.shinyapps.io/BurghsEyeView/?_inputs_&dates=%5B%222017-02-14%22%2C%222017-02-24%22%5D&dept_select=null&filter_select=%22%22&GetScreenWidth=1920&hier=null&origin_select=null&report_ Burgh's Eye View] you can easily see all kinds of data about Pittsburgh—including 311 requests, building permits, code violations, and public safety incidents.But City data isn’t a log of when and where we put our parking chairs. It’s a huge collection of information about the world around us that can help us understand what’s happening in our neighborhoods, and lead us to ideas and decisions that can make where we live better.

= Data =
This guide contains information on the types of data describing aspects of policing, criminal justice, and corrections system in the City of Pittsburgh, Allegheny County, and Pennsylvania. Each of the categories shown here in this section of the guide describe the types of data that are available, provide links to where it can be found, and describe some additional context to help people use and interpret the data accurately and responsibly.

=== Victimization ===
[[Crime, Courts, and Corrections Guide:Victimization]]

Data on the victims of reported homicides in Pittsburgh is available through an interactive data visualization developed through a partnership of the City of Pittsburgh and Allegheny County Department of Human Services.

=== Incidents ===
[[Crime, Courts, and Corrections Guide:Incidents]]

Crime incident reports are often created following a police investigation. Incident reports may also be generated from calls for service.

'''''Police Incident Blotter data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Prison ===
[[Crime, Courts, and Corrections Guide:Prison]]

The Pennsylvania Department of Corrections manages 25 state correctional institutions and a number of other correctional facilities in Pennsylvania. Data on the monthly prison population by facility, and annual admissions and releases by county are available, along with information on inmates through the State’s Inmate locator tool.

=== Non-Traffic Citations ===
[[Crime, Courts, and Corrections Guide:Non-Traffic Citations]]

Non-Traffic Citations in Pittsburgh are given for minor criminal offenses, and are often called summary offenses. The types of offenses that often result in a citation include loitering, disorderly conduct, harassment, public drunkenness, and low-level retail theft.

'''''Non-Traffic Citation data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Jail ===
[[Crime, Courts, and Corrections Guide:Jail]]

The population of the Allegheny County Jail changes on a daily basis as people are arrested, released on bail, exonerated, sentenced, transferred to another facility, paroled, or released.

'''''Jail Census data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Courts ===
[[Crime, Courts, and Corrections:Courts]]

The Allegheny County Department of Court Records’ Criminal Division is the custodian of criminal records in Allegheny County. While the county manages this information, the data is owned by the Unified Judicial System of Pennsylvania.

=== Call for Service ===
[[Crime, Courts, and Corrections:Call for Service]]

In Allegheny County, data on emergency calls for service are managed by the Allegheny County Emergency Services. Non-emergency calls for service are made through the City of Pittsburgh’s 311 system managed by the City’s Department of Innovation and Performance.

'''''Data for non-emergency 311 calls for service is updated hourly, and can be found on the Regional Data Center’s open data portal.'''''

=== Arrests ===
[[Crime, Courts, and Corrections:Arrests]]

Data on people taken into custody by City of Pittsburgh officers are available as open data. More serious crimes such as misdemeanors and felony offenses are more-likely to result in arrests, however arrests may occur for other reasons such as parole violations or failure to appear for trial.

'''''Arrest data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

= Policies =
Policies and procedures govern the way officers interact with citizens, report incidents, and ensure accountability. Sharing policies and data on police-community interactions demonstrates the desire of City leaders to build trust with residents, and highlights their commitment to transparency.

The City of Pittsburgh is making the following data available on the Regional Data Center’s open data portal:

* [https://data.wprdc.org/dataset/police-community-outreach Police Community Outreach Events]
* [https://data.wprdc.org/dataset/officer-training Officer Training]
* [https://data.wprdc.org/dataset/police-civil-actions Police Civil Action Litigation]
* [http://apps.pittsburghpa.gov/dps/Use_of_Force_in_the_City_of_Pittsburgh.pdf Use of Force]

Crime, Courts, and Corrections in the City of Pittsburgh

2022-12-20T22:01:45Z

Rossr: /* City of Pittsburgh Annual Police Statistical Reports */

This guide to Crime, Courts, and Corrections was created to make it easier to find, understand, and use information about public safety in the City of Pittsburgh, and the criminal justice and corrections systems in Allegheny County and the State of Pennsylvania. While public agencies are now sharing a growing amount of data, this information does not have value to most people without context or an understanding of underlying systems, laws, policies, and processes.

Release of the data in this document allows the City to be a participant in the National Police Data Initiative. Founded in 2015, the Initiative is an outgrowth of President Obama’s Task Force on 21st Century Policing designed to reduce crime by building trust between citizens and police. Information sharing is viewed as a major trust-building step law enforcement organizations can take, and over 50 jurisdictions are now participating in the Initiative. For more information, please see the National Police Data Initiative’s FAQ.

The Western Pennsylvania Regional Data Center is pleased to have worked with our City and County partners to publish much of the information referenced in this guide as open data. We’re also grateful to have had their help in assembling and editing this document. This guide also illustrates a critical partnership between the City’s Bureau of Police and the County Department of Human Services. Many of the tools featured in this guide were developed through this City-County collaboration.

This guide was inspired by Crime and Punishment in Chicago, a Website developed by the Smart Chicago Collaborative.

= Tools =
A number of tools have been developed to make it easier for people to use and understand the data contained in this guide, and a growing number of these tools are being developed by public sector staff at the City and County, the university community, journalists, and civic technologists. We’ve included links to some of them here. Please let us know if there are others that should be included in this list.

=== Allegheny County Jail Population Management Dashboards ===
Allegheny County developed a series publicly available, interactive dashboards to allow users to explore different aspects of the Allegheny County Jail population. Dashboards provide information on the daily population, alternative housing, bookings, releases, length of stay, service usage, and involvement with the justice system prior to booking.

=== City of Pittsburgh Annual Police Statistical Reports ===

* [https://apps.pittsburghpa.gov/redtail/images/6371_2018_Annual_Report_Draft_-_Final.pdf 2018 Annual Report]
* [https://apps.pittsburghpa.gov/redtail/images/4801_2017_Annual_Report_Final_1.3.19.pdf 2017 Annual Report]
* [https://apps.pittsburghpa.gov/redtail/images/1236_2016_Annual_Report.pdf 2016 Annual Report]
* [http://apps.pittsburghpa.gov/pghbop/ANNUAL_REPORT_DRAFT_2015_May_31.pdf 2015 Annual Report]
* [http://apps.pittsburghpa.gov/pghbop/2014_Annual_Report_Final_draft.pdf 2014 Annual Report]
* [http://apps.pittsburghpa.gov/dps/2013_Annual_Report_draft_(final).pdf 2013 Annual Report]
* [http://apps.pittsburghpa.gov/pghbop/2012_Annual_Report_v2.pdf 2012 Annual Report]

=== Homicides ===
Homicide information in the [https://tools.wprdc.org/guides/public-safety/ City of Pittsburgh] and [https://tableau.alleghenycounty.us/t/PublicSite/views/Homicides_In_Allegheny_County/HomicideTrends?iframeSizedToWindow=true&%3Aembed=y&%3AshowAppBanner=false&%3Adisplay_count=no&%3AshowVizHome=no Allegheny County] are available through two separate dashboards. Data for the City dates back to 2010, with data from the County available as early as 2007. These tools include data on the number of homicides, clearance rates, weapons used, time of the incident, day of the week, demographics on victims and perpetrators, and benchmarks to other cities. They were developed through a collaboration of the Allegheny County Department of Human Services and the Allegheny County Office of the Medical Examiner.

=== Gun Violence ===
Learn more about gun violence in your neighborhood on this dashboard developed by the Allegheny County Department of Human Services and the City of Pittsburgh. This tool includes data on shootings, aggravated assaults involving a gun, and shots fired. The data, available back to 2010 also includes information on the time of day shootings occur.

=== Overall Trends in Violence ===
This dashboard contains information on trends in violence by neighborhood back to 2010. The tool contains information on homicides, shootings, assaults, and calls for shots fired, and also includes information on the number of incidents involving the use of a firearm. It was developed through a collaboration of the Allegheny County Department of Human Services and the City of Pittsburgh.

=== Crime in Pittsburgh ===
The Crime Dashboard provides information on the types of incidents occurring in your neighborhood. The tool developed through a collaboration of the Allegheny County Department of Human Services and the City of Pittsburgh also includes information on the number of crimes cleared, the time that incidents occur, and the victims back to 2005.

=== Burgh's Eye View ===
With Burgh's Eye View you can easily see all kinds of data about Pittsburgh—including 311 requests, building permits, code violations, and public safety incidents.But City data isn’t a log of when and where we put our parking chairs. It’s a huge collection of information about the world around us that can help us understand what’s happening in our neighborhoods, and lead us to ideas and decisions that can make where we live better.

= Data =
This guide contains information on the types of data describing aspects of policing, criminal justice, and corrections system in the City of Pittsburgh, Allegheny County, and Pennsylvania. Each of the categories shown here in this section of the guide describe the types of data that are available, provide links to where it can be found, and describe some additional context to help people use and interpret the data accurately and responsibly.

=== Victimization ===
[[Crime, Courts, and Corrections Guide:Victimization]]

Data on the victims of reported homicides in Pittsburgh is available through an interactive data visualization developed through a partnership of the City of Pittsburgh and Allegheny County Department of Human Services.

=== Incidents ===
[[Crime, Courts, and Corrections Guide:Incidents]]

Crime incident reports are often created following a police investigation. Incident reports may also be generated from calls for service.

'''''Police Incident Blotter data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Prison ===
[[Crime, Courts, and Corrections Guide:Prison]]

The Pennsylvania Department of Corrections manages 25 state correctional institutions and a number of other correctional facilities in Pennsylvania. Data on the monthly prison population by facility, and annual admissions and releases by county are available, along with information on inmates through the State’s Inmate locator tool.

=== Non-Traffic Citations ===
[[Crime, Courts, and Corrections Guide:Non-Traffic Citations]]

Non-Traffic Citations in Pittsburgh are given for minor criminal offenses, and are often called summary offenses. The types of offenses that often result in a citation include loitering, disorderly conduct, harassment, public drunkenness, and low-level retail theft.

'''''Non-Traffic Citation data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Jail ===
[[Crime, Courts, and Corrections Guide:Jail]]

The population of the Allegheny County Jail changes on a daily basis as people are arrested, released on bail, exonerated, sentenced, transferred to another facility, paroled, or released.

'''''Jail Census data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Courts ===
[[Crime, Courts, and Corrections:Courts]]

The Allegheny County Department of Court Records’ Criminal Division is the custodian of criminal records in Allegheny County. While the county manages this information, the data is owned by the Unified Judicial System of Pennsylvania.

=== Call for Service ===
[[Crime, Courts, and Corrections:Call for Service]]

In Allegheny County, data on emergency calls for service are managed by the Allegheny County Emergency Services. Non-emergency calls for service are made through the City of Pittsburgh’s 311 system managed by the City’s Department of Innovation and Performance.

'''''Data for non-emergency 311 calls for service is updated hourly, and can be found on the Regional Data Center’s open data portal.'''''

=== Arrests ===
[[Crime, Courts, and Corrections:Arrests]]

Data on people taken into custody by City of Pittsburgh officers are available as open data. More serious crimes such as misdemeanors and felony offenses are more-likely to result in arrests, however arrests may occur for other reasons such as parole violations or failure to appear for trial.

'''''Arrest data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

= Policies =
Policies and procedures govern the way officers interact with citizens, report incidents, and ensure accountability. Sharing policies and data on police-community interactions demonstrates the desire of City leaders to build trust with residents, and highlights their commitment to transparency.

The City of Pittsburgh is making the following data available on the Regional Data Center’s open data portal:

* [https://data.wprdc.org/dataset/police-community-outreach Police Community Outreach Events]
* [https://data.wprdc.org/dataset/officer-training Officer Training]
* [https://data.wprdc.org/dataset/police-civil-actions Police Civil Action Litigation]
* [http://apps.pittsburghpa.gov/dps/Use_of_Force_in_the_City_of_Pittsburgh.pdf Use of Force]

Crime, Courts, and Corrections in the City of Pittsburgh

2022-12-20T21:58:51Z

Rossr: /* Jail */

This guide to Crime, Courts, and Corrections was created to make it easier to find, understand, and use information about public safety in the City of Pittsburgh, and the criminal justice and corrections systems in Allegheny County and the State of Pennsylvania. While public agencies are now sharing a growing amount of data, this information does not have value to most people without context or an understanding of underlying systems, laws, policies, and processes.

Release of the data in this document allows the City to be a participant in the National Police Data Initiative. Founded in 2015, the Initiative is an outgrowth of President Obama’s Task Force on 21st Century Policing designed to reduce crime by building trust between citizens and police. Information sharing is viewed as a major trust-building step law enforcement organizations can take, and over 50 jurisdictions are now participating in the Initiative. For more information, please see the National Police Data Initiative’s FAQ.

The Western Pennsylvania Regional Data Center is pleased to have worked with our City and County partners to publish much of the information referenced in this guide as open data. We’re also grateful to have had their help in assembling and editing this document. This guide also illustrates a critical partnership between the City’s Bureau of Police and the County Department of Human Services. Many of the tools featured in this guide were developed through this City-County collaboration.

This guide was inspired by Crime and Punishment in Chicago, a Website developed by the Smart Chicago Collaborative.

= Tools =
A number of tools have been developed to make it easier for people to use and understand the data contained in this guide, and a growing number of these tools are being developed by public sector staff at the City and County, the university community, journalists, and civic technologists. We’ve included links to some of them here. Please let us know if there are others that should be included in this list.

=== Allegheny County Jail Population Management Dashboards ===
Allegheny County developed a series publicly available, interactive dashboards to allow users to explore different aspects of the Allegheny County Jail population. Dashboards provide information on the daily population, alternative housing, bookings, releases, length of stay, service usage, and involvement with the justice system prior to booking.

=== City of Pittsburgh Annual Police Statistical Reports ===

* 2018 Annual Report
* 2017 Annual Report
* 2016 Annual Report
* 2015 Annual Report
* 2014 Annual Report
* 2013 Annual Report
* 2012 Annual Report

=== Homicides ===
Homicide information in the City of Pittsburgh and Allegheny County are available through two separate dashboards. Data for the City dates back to 2010, with data from the County available as early as 2007. These tools include data on the number of homicides, clearance rates, weapons used, time of the incident, day of the week, demographics on victims and perpetrators, and benchmarks to other cities. They were developed through a collaboration of the Allegheny County Department of Human Services and the Allegheny County Office of the Medical Examiner.

=== Gun Violence ===
Learn more about gun violence in your neighborhood on this dashboard developed by the Allegheny County Department of Human Services and the City of Pittsburgh. This tool includes data on shootings, aggravated assaults involving a gun, and shots fired. The data, available back to 2010 also includes information on the time of day shootings occur.

=== Overall Trends in Violence ===
This dashboard contains information on trends in violence by neighborhood back to 2010. The tool contains information on homicides, shootings, assaults, and calls for shots fired, and also includes information on the number of incidents involving the use of a firearm. It was developed through a collaboration of the Allegheny County Department of Human Services and the City of Pittsburgh.

=== Crime in Pittsburgh ===
The Crime Dashboard provides information on the types of incidents occurring in your neighborhood. The tool developed through a collaboration of the Allegheny County Department of Human Services and the City of Pittsburgh also includes information on the number of crimes cleared, the time that incidents occur, and the victims back to 2005.

=== Burgh's Eye View ===
With Burgh's Eye View you can easily see all kinds of data about Pittsburgh—including 311 requests, building permits, code violations, and public safety incidents.But City data isn’t a log of when and where we put our parking chairs. It’s a huge collection of information about the world around us that can help us understand what’s happening in our neighborhoods, and lead us to ideas and decisions that can make where we live better.

= Data =
This guide contains information on the types of data describing aspects of policing, criminal justice, and corrections system in the City of Pittsburgh, Allegheny County, and Pennsylvania. Each of the categories shown here in this section of the guide describe the types of data that are available, provide links to where it can be found, and describe some additional context to help people use and interpret the data accurately and responsibly.

=== Victimization ===
[[Crime, Courts, and Corrections Guide:Victimization]]

Data on the victims of reported homicides in Pittsburgh is available through an interactive data visualization developed through a partnership of the City of Pittsburgh and Allegheny County Department of Human Services.

=== Incidents ===
[[Crime, Courts, and Corrections Guide:Incidents]]

Crime incident reports are often created following a police investigation. Incident reports may also be generated from calls for service.

'''''Police Incident Blotter data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Prison ===
[[Crime, Courts, and Corrections Guide:Prison]]

The Pennsylvania Department of Corrections manages 25 state correctional institutions and a number of other correctional facilities in Pennsylvania. Data on the monthly prison population by facility, and annual admissions and releases by county are available, along with information on inmates through the State’s Inmate locator tool.

=== Non-Traffic Citations ===
[[Crime, Courts, and Corrections Guide:Non-Traffic Citations]]

Non-Traffic Citations in Pittsburgh are given for minor criminal offenses, and are often called summary offenses. The types of offenses that often result in a citation include loitering, disorderly conduct, harassment, public drunkenness, and low-level retail theft.

'''''Non-Traffic Citation data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Jail ===
[[Crime, Courts, and Corrections Guide:Jail]]

The population of the Allegheny County Jail changes on a daily basis as people are arrested, released on bail, exonerated, sentenced, transferred to another facility, paroled, or released.

'''''Jail Census data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Courts ===
[[Crime, Courts, and Corrections:Courts]]

The Allegheny County Department of Court Records’ Criminal Division is the custodian of criminal records in Allegheny County. While the county manages this information, the data is owned by the Unified Judicial System of Pennsylvania.

=== Call for Service ===
[[Crime, Courts, and Corrections:Call for Service]]

In Allegheny County, data on emergency calls for service are managed by the Allegheny County Emergency Services. Non-emergency calls for service are made through the City of Pittsburgh’s 311 system managed by the City’s Department of Innovation and Performance.

'''''Data for non-emergency 311 calls for service is updated hourly, and can be found on the Regional Data Center’s open data portal.'''''

=== Arrests ===
[[Crime, Courts, and Corrections:Arrests]]

Data on people taken into custody by City of Pittsburgh officers are available as open data. More serious crimes such as misdemeanors and felony offenses are more-likely to result in arrests, however arrests may occur for other reasons such as parole violations or failure to appear for trial.

'''''Arrest data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

= Policies =
Policies and procedures govern the way officers interact with citizens, report incidents, and ensure accountability. Sharing policies and data on police-community interactions demonstrates the desire of City leaders to build trust with residents, and highlights their commitment to transparency.

The City of Pittsburgh is making the following data available on the Regional Data Center’s open data portal:

* [https://data.wprdc.org/dataset/police-community-outreach Police Community Outreach Events]
* [https://data.wprdc.org/dataset/officer-training Officer Training]
* [https://data.wprdc.org/dataset/police-civil-actions Police Civil Action Litigation]
* [http://apps.pittsburghpa.gov/dps/Use_of_Force_in_the_City_of_Pittsburgh.pdf Use of Force]

Crime, Courts, and Corrections:Courts

2022-12-20T21:46:19Z

Rossr: Created page with "''This guide is part of a larger guide on Crime, Courts, and Corrections in the City of Pittsburgh.'' The Allegheny County Department of Court Records’ Criminal Divisio..."

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh]].''

The Allegheny County Department of Court Records’ Criminal Division is the custodian of criminal records in Allegheny County. The Department records data on both cases filed and outcomes of criminal cases in the County. While the county manages this information, the data, available for appellate courts, common pleas courts, and magisterial district courts is owned by the Unified Judicial System of Pennsylvania.

=== What's Included in the Data ===

===== Publicly Available =====

* Charges filed
* Case status
* Pleas and case disposition
* Sentencing
* Appeals to superior court
* Bonds
* Fines and costs
* Restitution
* DUI offenses
* Summary appeals

===== Not Publicly Available =====

* Details of the criminal investigation
* Information about crime victims

=== Where to Find the Data ===

* In-Person Access is available by visiting the [http://www.alleghenycounty.us/court-records/criminal/criminal-records.aspx Department of Court Records’ Records Room] in Room 222 of the Allegheny County Courthouse.
* Online Access is available through the Unified Judicial System of Pennsylvania’s [https://ujsportal.pacourts.us/Default.aspx online portal] . Data is not available in bulk as open data, but is available by searching on docket number, organization, participant name, police incident complaint number, and several other fields.

=== Things to Know ===

* While some court information is public, some information is not available to public audiences due to court order, state law, or administrative policy. The Pennsylvania Unified Judicial System [http://www.pacourts.us/public-record-policies sets public access policies] for their data.
* The Allegheny County District Attorney has written a [http://alleghenycountyda.us/court-case-lookup-guide/ guide for looking up court case information] on the Judicial System’s Portal.
* The District Attorney’s Office also has [http://alleghenycountyda.us/criminal-procedure/ documented and described the 18-step process] of how a prosecution proceeds through the court system in Pennsylvania. Additional information about criminal procedures and the role of the District Attorney is also available in the District Attorney’s [http://alleghenycountyda.us/ website].

Guide to Property and Housing Data

2022-12-20T21:40:11Z

Rossr: Created page with "This guide to property and housing data was created to make it easier to find, understand, and use information about real estate, properties and housing in Allegheny County. T..."

This guide to property and housing data was created to make it easier to find, understand, and use information about real estate, properties and housing in Allegheny County. This guide is designed to help users find public property and real estate information. The guide also contains information all data users should know about specific datasets. It contains links to tools that help provide access to data, and also includes links to related information such as plans and policies related to real estate and housing.

== Data ==
This guide contains information on the types of data describing real estate and housing data in Allegheny County, Pennsylvania. Each of the categories shown here in this section of the guide describe the types of data that are available, provide links to where it can be found, and describe some additional context to help people use and interpret the data accurately and responsibly.

=== Property Sales ===
[[Property and Housing Guide:Property Sales]]

When a property is sold, a deed is usually filed with the Allegheny County Department of Real Estate. Deeds typically contain details related to the sales transaction including buyer, seller, sales price, and a legal description of the property. Property sales data is widely used to understand housing market dynamics, including sales prices, sales volume, and sales characteristics.

Crime, Courts, and Corrections Guide:Victimization

2022-12-20T21:40:06Z

Rossr:

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh]].''

Information on crime victims at a national level is available through the U.S. Census Bureau and the Bureau of Justice Statistics. Both agencies collaborate to collect data from a sample of U.S. residents in the National Crime Victimization Survey.<ref>http://www.bjs.gov/index.cfm?ty=dcdetail&iid=245</ref> The survey collects data on the age, sex, race and Hispanic origin, marital status, education level, and income of people in the sample, and asks whether they have been a recent victim of crime. For each incident, the Victimization Survey also includes information about the offender (age, race and Hispanic origin, sex, and victim-offender relationship), details about the crime (including time and place of occurrence, use of weapons, nature of injury, and economic consequences), whether the crime was ever reported to police (or reasons for not reporting), and the experiences of the victim with the criminal justice system.

According to summary statistics from the National Crime Victimization Survey<ref>http://www.bjs.gov/content/pub/pdf/cv14.pdf</ref>, a large number of crimes go unreported, In 2014, 46% of violent crimes and 37% of property crimes were reported to police nationwide. The levels of reporting can also vary considerably by the individual types of crimes. Within the violent crime category, 61% of robberies but only 34% of rape/sexual assault incidents are reported to police. A similar variance can also be seen in property crime, where 60% of burglaries and 83% of motor vehicle thefts are reported, but law enforcement is notified of only 29% of thefts. This level of non-reporting should be taken into account when evaluating victimization statistics from local data sources.

Data on the victims of reported homicides in Pittsburgh and in Allegheny County is available through an interactive data visualization developed by the Allegheny County Department of Human Services. This data is collected from crime reports, and is reported by municipality in the County dashboard, and by neighborhood in the City dashboard. Details include age, race, and gender of the victim.

=== What's Included in the Data ===

===== Publicly Available =====

* Total victims
* Age of victims
* Race of victims
* Gender of victims

===== Not Publicly Available =====

* Specific identity of the victims

=== Where to Find the Data ===

* [http://www.bjs.gov/index.cfm?ty=dcdetail&iid=245 Data from the National Crime Victimization Survey is available from the Federal Bureau of Justice Statistics]
* Data on victims of homicide in the [https://tools.wprdc.org/guides/public-safety/victimization/ City] and [https://tableau.alleghenycounty.us/t/PublicSite/views/Homicides_In_Allegheny_County/HomicideTrends?iframeSizedToWindow=true&%3Aembed=y&%3AshowAppBanner=false&%3Adisplay_count=no&%3AshowVizHome=no County] are available through separate data visualizations developed by the Allegheny County Department of Human Services. Data is available beginning in 2010.

=== Things to Know ===

* Allegheny County and City of Pittsburgh data is generated by the Allegheny County Office of the Medical Examiner
* Only homicide victims are included in the City of Pittsburgh and Allegheny County data.

== References ==

Crime, Courts, and Corrections Guide:Incidents

2022-12-20T21:39:56Z

Rossr:

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh]].''

Crime incident reports are often created following a police investigation. Incident reports may also be generated from calls for service.

Incident data is published on a nightly basis by the City of Pittsburgh. The quality of incident level data may improve over time, and data published on the open data portal will reflect these changes. The data is presented in two separate files on the open data portal.

* The Blotter will contain only the previous thirty days of reported crimes.The initial incident data can often change in the month following the initial incident report.Records older than thirty days will be deleted from this file and valid incidents will be moved to the archived dataset.Appropriate use of this file includes notifying community members of recent incidents.
* Once quality control and coding procedures have been run against the data by the Police Bureau, the data will then be published to the archived data file thirty days after the initial report. Data in the archived file will be of greater data quality and is the file most appropriate for reporting crime statistics. Data within this file is also subject to change. Archived data (2005-2015) is also being shared as part of this release.

Pittsburgh Police do respond to incidents outside the City borders from time to time. For this reason, some incidents are mapped to locations outside the City. These can occur when City police assist police in other jurisdictions, when City police pursue a suspect across the City line to another municipality, and when a City officer happens to respond to an incident while outside the City.

=== What's Included in the Data ===

===== Publicly Available =====

* Location generalized to a block (police zone for sex crimes)
* Type of incident
* Date
* Time
* Whether or not the incident has been cleared

===== Not Publicly Available =====

* Victim’s identity
* Actual incident location

=== Where to Find the Data ===

* Most-recent [https://data.wprdc.org/dataset/police-incident-blotter 30 days of incident data (The Blotter)] is published through the Western Pennsylvania Regional Data Center and is updated daily.
* [https://data.wprdc.org/dataset/uniform-crime-reporting-data Uniform Crime Reporting Data Recent Archive (Over 30 days old)] is published through the Western Pennsylvania Regional Data Center and is updated daily.
* [http://pittsburghpa.gov/publicsafety/updates.htm?mode=top&topid=101 Pittsburgh Public Safety Press Releases] contain additional information on selected incidents
* This data is also featured on the City of Pittsburgh's [https://pittsburghpa.shinyapps.io/BurghsEyeView/ Burgh's Eye View] mapping tool

=== Things to Know ===

* Sex crimes will only be reported at the police zone level to protect victim confidentiality. All other crimes will be reported at the block level (based on street address range).
* Incident data is published using the UCR hierarchical classification system developed by the FBI. Multiple crimes may be included in the same incident, and incidents are coded by the highest-level offense.
* Unfounded incidents will be removed from the database. As the status or classification of an incident changes, these changes will be reflected on the open data portal. When using data, it is a good practice to cite when it was accessed.
* Incidents solely reported by other police departments operating in the City (campus police, Port Authority, etc) are not captured in this data.
* Archived data (2005-15) may first be published without coordinates, but coordinates will be made available as additional geocoding processes are run on the data.
* Not all incidents are reported. Incident reporting rates may vary from one community or person to the next.

Crime, Courts, and Corrections Guide:Prison

2022-12-20T21:39:46Z

Rossr:

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh]].''

The Pennsylvania Department of Corrections manages 25 state correctional institutions and a number of other correctional facilities in Pennsylvania. These facilities house just over 50,000 inmates. The Department receives inmates from County jail systems following a conviction, though people are also admitted as the result of a parole violation. Inmates convicted of more-serious crimes or those receiving longer sentences are typically transferred to Pennsylvania’s prison system.

=== What's Included in the Data ===

===== Publicly Available =====

* Monthly prison population by facility
* Annual admissions and releases by county are released as open data or are available through the Department of Corrections mapping tools
* Information on individual inmates available through the inmate search tool includes name (and alternate names), corrections facility, date of birth, age, height, race, citizenship, complexion, and com

===== Not Publicly Available =====
Inmate information is only available as part of the inmate search tool.

=== Where to Find the Data ===

* [https://data.pa.gov/Public-Safety/State-Correction-Population-June-2015-Current-Corr/a8qx-qnix Population by facility by month (open data)]
* [https://pa-doc-prs.maps.arcgis.com/apps/MapSeries/index.html?appid=1299751e74c54eba817680fb1f151628 Releases by County Map]
* [https://pa-doc-prs.maps.arcgis.com/apps/MapSeries/index.html?appid=82023e1381dc4f9e9c202b2ed608d44a Admissions by County Map]
* The Pennsylvania Department of Corrections [http://www.cor.pa.gov/Inmates/Pages/Inmate-Locator.aspx#.V_flojKZOt_ Inmate Locator]

=== Things to Know ===
Prison population was one of the first datasets shared by the Commonwealth of Pennsylvania on their open data portal.

Crime, Courts, and Corrections Guide:Non-Traffic Citations

2022-12-20T21:39:36Z

Rossr:

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh]].''

In Pennsylvania, non-traffic criminal proceedings are set into motion by either a citation issued to a defendant or an arrest without a warrant. Non-traffic citations typically include a notice to appear before a magisterial judge or trial commissioner if the person receiving the citation is not providing a guilty plea. Citations are given for minor criminal offenses, and are often called summary offenses. The types of offenses that often result in a citation include loitering, disorderly conduct, harassment, public drunkenness, and low-level retail theft. Convictions may result in a fine, and in some cases, non-traffic citations may be expunged from an offender’s criminal record if certain conditions are met.

=== What's Included in the Data ===

===== Publicly Available =====

* Location generalized to block
* Type of incident
* Date
* Time
* Offender demographics

===== Not Publicly Available =====

* Actual location of offense
* Name and address of offender

=== Where to Find the Data ===

* Non-Traffic Citations are published through the [https://data.wprdc.org/dataset/non-traffic-citations Western Pennsylvania Region Data Center] and is updated daily.
* This data is also featured on the City of Pittsburgh's [https://pittsburghpa.shinyapps.io/BurghsEyeView/ Burgh's Eye View mapping tool]

=== Things to Know ===
For more information on non-traffic citations in Pennsylvania, please see the following sites:

* [http://www.pacode.com/secure/data/234/chapter10/s1002.html The Pennsylvania Code]
* The Website of the [https://clsphila.org/learn-about-issues/dealing-summary-offenses Community Legal Services of Philadelphia]
* The Pennsylvania Bar Association’s [https://www.pabar.org/clips/trafficviolations.pdf Consumer Legal Information Pamphlets]

Crime, Courts, and Corrections Guide:Jail

2022-12-20T21:39:21Z

Rossr:

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh]].''

Jails operated by county government in Pennsylvania typically hold inmates following an arrest prior to their trial (if not released on bail), convicted inmates prior to sentencing, sentenced inmates awaiting a transfer to another facility, and people sentenced for less-serious crimes of a fairly short duration (typically two years or less). Inmates receiving longer sentences are typically transferred to Pennsylvania’s prison system. While it is much less-common, transfers from the state or Federal prison systems to the county jail system in Pennsylvania have occurred.<ref>https://cjrc.la.psu.edu/wp-content/uploads/sites/21/2020/10/Jails-Final-Report-Justice-Center-version.pdf</ref>

The population of the Allegheny County Jail changes on a daily basis as people are arrested, released on bail, exonerated, sentenced, transferred to another facility, paroled, or released. A daily jail census is available as open data on the Western Pennsylvania Regional Data Center’s open data portal.

=== What's Included in the Data ===

===== Publicly Available =====

* Inmate’s age at booking
* Current age
* Gender
* Race

===== Not Publicly Available =====

* Inmates most-recent home address
* Inmate’s name

=== Where to Find the Data ===

* The Allegheny County Jail Census contains updated data on inmates housed at the prison, and can be found on the [https://data.wprdc.org/dataset/allegheny-county-jail-daily-census Western Pennsylvania Regional Data Center’s open data portal]. It is updated daily.
* There is no website currently available allowing for an inmate lookup at the County prison.

=== Things to Know ===
For more information on the jail system in Pennsylvania, please see the Penn State Criminal Justice Research Center [https://cjrc.la.psu.edu/ website].

== References ==

Crime, Courts, and Corrections Guide:Jail

2022-12-20T21:38:39Z

Rossr: Rossr moved page Crime, Courts and Corrections Guide:Jail to Crime, Courts, and Corrections Guide:Jail without leaving a redirect

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh|Crime, Courts and Corrections in the City of Pittsburgh]].''

Jails operated by county government in Pennsylvania typically hold inmates following an arrest prior to their trial (if not released on bail), convicted inmates prior to sentencing, sentenced inmates awaiting a transfer to another facility, and people sentenced for less-serious crimes of a fairly short duration (typically two years or less). Inmates receiving longer sentences are typically transferred to Pennsylvania’s prison system. While it is much less-common, transfers from the state or Federal prison systems to the county jail system in Pennsylvania have occurred.<ref>https://cjrc.la.psu.edu/wp-content/uploads/sites/21/2020/10/Jails-Final-Report-Justice-Center-version.pdf</ref>

The population of the Allegheny County Jail changes on a daily basis as people are arrested, released on bail, exonerated, sentenced, transferred to another facility, paroled, or released. A daily jail census is available as open data on the Western Pennsylvania Regional Data Center’s open data portal.

=== What's Included in the Data ===

===== Publicly Available =====

* Inmate’s age at booking
* Current age
* Gender
* Race

===== Not Publicly Available =====

* Inmates most-recent home address
* Inmate’s name

=== Where to Find the Data ===

* The Allegheny County Jail Census contains updated data on inmates housed at the prison, and can be found on the [https://data.wprdc.org/dataset/allegheny-county-jail-daily-census Western Pennsylvania Regional Data Center’s open data portal]. It is updated daily.
* There is no website currently available allowing for an inmate lookup at the County prison.

=== Things to Know ===
For more information on the jail system in Pennsylvania, please see the Penn State Criminal Justice Research Center [https://cjrc.la.psu.edu/ website].

== References ==

Crime, Courts, and Corrections in the City of Pittsburgh

2022-12-20T21:38:12Z

Rossr:

This guide to Crime, Courts, and Corrections was created to make it easier to find, understand, and use information about public safety in the City of Pittsburgh, and the criminal justice and corrections systems in Allegheny County and the State of Pennsylvania. While public agencies are now sharing a growing amount of data, this information does not have value to most people without context or an understanding of underlying systems, laws, policies, and processes.

Release of the data in this document allows the City to be a participant in the National Police Data Initiative. Founded in 2015, the Initiative is an outgrowth of President Obama’s Task Force on 21st Century Policing designed to reduce crime by building trust between citizens and police. Information sharing is viewed as a major trust-building step law enforcement organizations can take, and over 50 jurisdictions are now participating in the Initiative. For more information, please see the National Police Data Initiative’s FAQ.

The Western Pennsylvania Regional Data Center is pleased to have worked with our City and County partners to publish much of the information referenced in this guide as open data. We’re also grateful to have had their help in assembling and editing this document. This guide also illustrates a critical partnership between the City’s Bureau of Police and the County Department of Human Services. Many of the tools featured in this guide were developed through this City-County collaboration.

This guide was inspired by Crime and Punishment in Chicago, a Website developed by the Smart Chicago Collaborative.

= Tools =
A number of tools have been developed to make it easier for people to use and understand the data contained in this guide, and a growing number of these tools are being developed by public sector staff at the City and County, the university community, journalists, and civic technologists. We’ve included links to some of them here. Please let us know if there are others that should be included in this list.

=== Allegheny County Jail Population Management Dashboards ===
Allegheny County developed a series publicly available, interactive dashboards to allow users to explore different aspects of the Allegheny County Jail population. Dashboards provide information on the daily population, alternative housing, bookings, releases, length of stay, service usage, and involvement with the justice system prior to booking.

=== City of Pittsburgh Annual Police Statistical Reports ===

* 2018 Annual Report
* 2017 Annual Report
* 2016 Annual Report
* 2015 Annual Report
* 2014 Annual Report
* 2013 Annual Report
* 2012 Annual Report

=== Homicides ===
Homicide information in the City of Pittsburgh and Allegheny County are available through two separate dashboards. Data for the City dates back to 2010, with data from the County available as early as 2007. These tools include data on the number of homicides, clearance rates, weapons used, time of the incident, day of the week, demographics on victims and perpetrators, and benchmarks to other cities. They were developed through a collaboration of the Allegheny County Department of Human Services and the Allegheny County Office of the Medical Examiner.

=== Gun Violence ===
Learn more about gun violence in your neighborhood on this dashboard developed by the Allegheny County Department of Human Services and the City of Pittsburgh. This tool includes data on shootings, aggravated assaults involving a gun, and shots fired. The data, available back to 2010 also includes information on the time of day shootings occur.

=== Overall Trends in Violence ===
This dashboard contains information on trends in violence by neighborhood back to 2010. The tool contains information on homicides, shootings, assaults, and calls for shots fired, and also includes information on the number of incidents involving the use of a firearm. It was developed through a collaboration of the Allegheny County Department of Human Services and the City of Pittsburgh.

=== Crime in Pittsburgh ===
The Crime Dashboard provides information on the types of incidents occurring in your neighborhood. The tool developed through a collaboration of the Allegheny County Department of Human Services and the City of Pittsburgh also includes information on the number of crimes cleared, the time that incidents occur, and the victims back to 2005.

=== Burgh's Eye View ===
With Burgh's Eye View you can easily see all kinds of data about Pittsburgh—including 311 requests, building permits, code violations, and public safety incidents.But City data isn’t a log of when and where we put our parking chairs. It’s a huge collection of information about the world around us that can help us understand what’s happening in our neighborhoods, and lead us to ideas and decisions that can make where we live better.

= Data =
This guide contains information on the types of data describing aspects of policing, criminal justice, and corrections system in the City of Pittsburgh, Allegheny County, and Pennsylvania. Each of the categories shown here in this section of the guide describe the types of data that are available, provide links to where it can be found, and describe some additional context to help people use and interpret the data accurately and responsibly.

=== Victimization ===
[[Crime, Courts, and Corrections Guide:Victimization]]

Data on the victims of reported homicides in Pittsburgh is available through an interactive data visualization developed through a partnership of the City of Pittsburgh and Allegheny County Department of Human Services.

=== Incidents ===
[[Crime, Courts, and Corrections Guide:Incidents]]

Crime incident reports are often created following a police investigation. Incident reports may also be generated from calls for service.

'''''Police Incident Blotter data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Prison ===
[[Crime, Courts, and Corrections Guide:Prison]]

The Pennsylvania Department of Corrections manages 25 state correctional institutions and a number of other correctional facilities in Pennsylvania. Data on the monthly prison population by facility, and annual admissions and releases by county are available, along with information on inmates through the State’s Inmate locator tool.

=== Non-Traffic Citations ===
[[Crime, Courts, and Corrections Guide:Non-Traffic Citations]]

Non-Traffic Citations in Pittsburgh are given for minor criminal offenses, and are often called summary offenses. The types of offenses that often result in a citation include loitering, disorderly conduct, harassment, public drunkenness, and low-level retail theft.

'''''Non-Traffic Citation data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Jail ===
[[Crime, Courts and Corrections Guide:Jail]]

The population of the Allegheny County Jail changes on a daily basis as people are arrested, released on bail, exonerated, sentenced, transferred to another facility, paroled, or released.

'''''Jail Census data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Courts ===
Crime, Courts,

The Allegheny County Department of Court Records’ Criminal Division is the custodian of criminal records in Allegheny County. While the county manages this information, the data is owned by the Unified Judicial System of Pennsylvania.

=== Call for Service ===
In Allegheny County, data on emergency calls for service are managed by the Allegheny County Emergency Services. Non-emergency calls for service are made through the City of Pittsburgh’s 311 system managed by the City’s Department of Innovation and Performance.

'''''Data for non-emergency 311 calls for service is updated hourly, and can be found on the Regional Data Center’s open data portal.'''''

=== Arrests ===
Data on people taken into custody by City of Pittsburgh officers are available as open data. More serious crimes such as misdemeanors and felony offenses are more-likely to result in arrests, however arrests may occur for other reasons such as parole violations or failure to appear for trial.

'''''Arrest data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

= Policies =
Policies and procedures govern the way officers interact with citizens, report incidents, and ensure accountability. Sharing policies and data on police-community interactions demonstrates the desire of City leaders to build trust with residents, and highlights their commitment to transparency.

The City of Pittsburgh is making the following data available on the Regional Data Center’s open data portal:

* [https://data.wprdc.org/dataset/police-community-outreach Police Community Outreach Events]
* [https://data.wprdc.org/dataset/officer-training Officer Training]
* [https://data.wprdc.org/dataset/police-civil-actions Police Civil Action Litigation]
* [http://apps.pittsburghpa.gov/dps/Use_of_Force_in_the_City_of_Pittsburgh.pdf Use of Force]

Crime, Courts, and Corrections Guide:Jail

2022-12-20T21:35:35Z

Rossr:

Crime, Courts, and Corrections Guide:Jail

2022-12-20T21:35:18Z

Rossr: Created page with "''This guide is part of a larger guide on Crime, Courts and Corrections in the City of Pittsburgh.'' Jails operat..."

Crime, Courts, and Corrections Guide:Non-Traffic Citations

2022-12-20T21:20:01Z

Rossr: Created page with "''This guide is part of a larger guide on Crime, Courts and Corrections in the City of Pittsburgh.'' In Pennsylva..."

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh|Crime, Courts and Corrections in the City of Pittsburgh]].''

In Pennsylvania, non-traffic criminal proceedings are set into motion by either a citation issued to a defendant or an arrest without a warrant. Non-traffic citations typically include a notice to appear before a magisterial judge or trial commissioner if the person receiving the citation is not providing a guilty plea. Citations are given for minor criminal offenses, and are often called summary offenses. The types of offenses that often result in a citation include loitering, disorderly conduct, harassment, public drunkenness, and low-level retail theft. Convictions may result in a fine, and in some cases, non-traffic citations may be expunged from an offender’s criminal record if certain conditions are met.

=== What's Included in the Data ===

===== Publicly Available =====

* Location generalized to block
* Type of incident
* Date
* Time
* Offender demographics

===== Not Publicly Available =====

* Actual location of offense
* Name and address of offender

=== Where to Find the Data ===

* Non-Traffic Citations are published through the [https://data.wprdc.org/dataset/non-traffic-citations Western Pennsylvania Region Data Center] and is updated daily.
* This data is also featured on the City of Pittsburgh's [https://pittsburghpa.shinyapps.io/BurghsEyeView/ Burgh's Eye View mapping tool]

=== Things to Know ===
For more information on non-traffic citations in Pennsylvania, please see the following sites:

* [http://www.pacode.com/secure/data/234/chapter10/s1002.html The Pennsylvania Code]
* The Website of the [https://clsphila.org/learn-about-issues/dealing-summary-offenses Community Legal Services of Philadelphia]
* The Pennsylvania Bar Association’s [https://www.pabar.org/clips/trafficviolations.pdf Consumer Legal Information Pamphlets]

Crime, Courts, and Corrections Guide:Prison

2022-12-20T21:08:15Z

Rossr: Created page with "''This guide is part of a larger guide on Crime, Courts and Corrections in the City of Pittsburgh.'' The Pennsylv..."

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh|Crime, Courts and Corrections in the City of Pittsburgh]].''

The Pennsylvania Department of Corrections manages 25 state correctional institutions and a number of other correctional facilities in Pennsylvania. These facilities house just over 50,000 inmates. The Department receives inmates from County jail systems following a conviction, though people are also admitted as the result of a parole violation. Inmates convicted of more-serious crimes or those receiving longer sentences are typically transferred to Pennsylvania’s prison system.

=== What's Included in the Data ===

===== Publicly Available =====

* Monthly prison population by facility
* Annual admissions and releases by county are released as open data or are available through the Department of Corrections mapping tools
* Information on individual inmates available through the inmate search tool includes name (and alternate names), corrections facility, date of birth, age, height, race, citizenship, complexion, and com

===== Not Publicly Available =====
Inmate information is only available as part of the inmate search tool.

=== Where to Find the Data ===

* [https://data.pa.gov/Public-Safety/State-Correction-Population-June-2015-Current-Corr/a8qx-qnix Population by facility by month (open data)]
* [https://pa-doc-prs.maps.arcgis.com/apps/MapSeries/index.html?appid=1299751e74c54eba817680fb1f151628 Releases by County Map]
* [https://pa-doc-prs.maps.arcgis.com/apps/MapSeries/index.html?appid=82023e1381dc4f9e9c202b2ed608d44a Admissions by County Map]
* The Pennsylvania Department of Corrections [http://www.cor.pa.gov/Inmates/Pages/Inmate-Locator.aspx#.V_flojKZOt_ Inmate Locator]

=== Things to Know ===
Prison population was one of the first datasets shared by the Commonwealth of Pennsylvania on their open data portal.

Crime, Courts, and Corrections Guide:Victimization

2022-12-20T21:00:18Z

Rossr:

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh|Crime, Courts and Corrections in the City of Pittsburgh]].''

Information on crime victims at a national level is available through the U.S. Census Bureau and the Bureau of Justice Statistics. Both agencies collaborate to collect data from a sample of U.S. residents in the National Crime Victimization Survey.<ref>http://www.bjs.gov/index.cfm?ty=dcdetail&iid=245</ref> The survey collects data on the age, sex, race and Hispanic origin, marital status, education level, and income of people in the sample, and asks whether they have been a recent victim of crime. For each incident, the Victimization Survey also includes information about the offender (age, race and Hispanic origin, sex, and victim-offender relationship), details about the crime (including time and place of occurrence, use of weapons, nature of injury, and economic consequences), whether the crime was ever reported to police (or reasons for not reporting), and the experiences of the victim with the criminal justice system.

According to summary statistics from the National Crime Victimization Survey<ref>http://www.bjs.gov/content/pub/pdf/cv14.pdf</ref>, a large number of crimes go unreported, In 2014, 46% of violent crimes and 37% of property crimes were reported to police nationwide. The levels of reporting can also vary considerably by the individual types of crimes. Within the violent crime category, 61% of robberies but only 34% of rape/sexual assault incidents are reported to police. A similar variance can also be seen in property crime, where 60% of burglaries and 83% of motor vehicle thefts are reported, but law enforcement is notified of only 29% of thefts. This level of non-reporting should be taken into account when evaluating victimization statistics from local data sources.

Data on the victims of reported homicides in Pittsburgh and in Allegheny County is available through an interactive data visualization developed by the Allegheny County Department of Human Services. This data is collected from crime reports, and is reported by municipality in the County dashboard, and by neighborhood in the City dashboard. Details include age, race, and gender of the victim.

=== What's Included in the Data ===

===== Publicly Available =====

* Total victims
* Age of victims
* Race of victims
* Gender of victims

===== Not Publicly Available =====

* Specific identity of the victims

=== Where to Find the Data ===

* [http://www.bjs.gov/index.cfm?ty=dcdetail&iid=245 Data from the National Crime Victimization Survey is available from the Federal Bureau of Justice Statistics]
* Data on victims of homicide in the [https://tools.wprdc.org/guides/public-safety/victimization/ City] and [https://tableau.alleghenycounty.us/t/PublicSite/views/Homicides_In_Allegheny_County/HomicideTrends?iframeSizedToWindow=true&%3Aembed=y&%3AshowAppBanner=false&%3Adisplay_count=no&%3AshowVizHome=no County] are available through separate data visualizations developed by the Allegheny County Department of Human Services. Data is available beginning in 2010.

=== Things to Know ===

* Allegheny County and City of Pittsburgh data is generated by the Allegheny County Office of the Medical Examiner
* Only homicide victims are included in the City of Pittsburgh and Allegheny County data.

== References ==

Crime, Courts, and Corrections Guide:Incidents

2022-12-20T20:59:58Z

Rossr:

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh|Crime, Courts and Corrections in the City of Pittsburgh]].''

Crime incident reports are often created following a police investigation. Incident reports may also be generated from calls for service.

Incident data is published on a nightly basis by the City of Pittsburgh. The quality of incident level data may improve over time, and data published on the open data portal will reflect these changes. The data is presented in two separate files on the open data portal.

* The Blotter will contain only the previous thirty days of reported crimes.The initial incident data can often change in the month following the initial incident report.Records older than thirty days will be deleted from this file and valid incidents will be moved to the archived dataset.Appropriate use of this file includes notifying community members of recent incidents.
* Once quality control and coding procedures have been run against the data by the Police Bureau, the data will then be published to the archived data file thirty days after the initial report. Data in the archived file will be of greater data quality and is the file most appropriate for reporting crime statistics. Data within this file is also subject to change. Archived data (2005-2015) is also being shared as part of this release.

Pittsburgh Police do respond to incidents outside the City borders from time to time. For this reason, some incidents are mapped to locations outside the City. These can occur when City police assist police in other jurisdictions, when City police pursue a suspect across the City line to another municipality, and when a City officer happens to respond to an incident while outside the City.

=== What's Included in the Data ===

===== Publicly Available =====

* Location generalized to a block (police zone for sex crimes)
* Type of incident
* Date
* Time
* Whether or not the incident has been cleared

===== Not Publicly Available =====

* Victim’s identity
* Actual incident location

=== Where to Find the Data ===

* Most-recent [https://data.wprdc.org/dataset/police-incident-blotter 30 days of incident data (The Blotter)] is published through the Western Pennsylvania Regional Data Center and is updated daily.
* [https://data.wprdc.org/dataset/uniform-crime-reporting-data Uniform Crime Reporting Data Recent Archive (Over 30 days old)] is published through the Western Pennsylvania Regional Data Center and is updated daily.
* [http://pittsburghpa.gov/publicsafety/updates.htm?mode=top&topid=101 Pittsburgh Public Safety Press Releases] contain additional information on selected incidents
* This data is also featured on the City of Pittsburgh's [https://pittsburghpa.shinyapps.io/BurghsEyeView/ Burgh's Eye View] mapping tool

=== Things to Know ===

* Sex crimes will only be reported at the police zone level to protect victim confidentiality. All other crimes will be reported at the block level (based on street address range).
* Incident data is published using the UCR hierarchical classification system developed by the FBI. Multiple crimes may be included in the same incident, and incidents are coded by the highest-level offense.
* Unfounded incidents will be removed from the database. As the status or classification of an incident changes, these changes will be reflected on the open data portal. When using data, it is a good practice to cite when it was accessed.
* Incidents solely reported by other police departments operating in the City (campus police, Port Authority, etc) are not captured in this data.
* Archived data (2005-15) may first be published without coordinates, but coordinates will be made available as additional geocoding processes are run on the data.
* Not all incidents are reported. Incident reporting rates may vary from one community or person to the next.

Crime, Courts, and Corrections Guide:Incidents

2022-12-20T20:54:44Z

Rossr: Created page with "''This guide is part of a larger guide on Crime, Courts and Corrections in the City of Pittsburgh.'' Crime incide..."

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh|Crime, Courts and Corrections in the City of Pittsburgh]].''

Crime incident reports are often created following a police investigation. Incident reports may also be generated from calls for service.

Incident data is published on a nightly basis by the City of Pittsburgh. The quality of incident level data may improve over time, and data published on the open data portal will reflect these changes. The data is presented in two separate files on the open data portal.

* The Blotter will contain only the previous thirty days of reported crimes.The initial incident data can often change in the month following the initial incident report.Records older than thirty days will be deleted from this file and valid incidents will be moved to the archived dataset.Appropriate use of this file includes notifying community members of recent incidents.
* Once quality control and coding procedures have been run against the data by the Police Bureau, the data will then be published to the archived data file thirty days after the initial report. Data in the archived file will be of greater data quality and is the file most appropriate for reporting crime statistics. Data within this file is also subject to change. Archived data (2005-2015) is also being shared as part of this release.

Pittsburgh Police do respond to incidents outside the City borders from time to time. For this reason, some incidents are mapped to locations outside the City. These can occur when City police assist police in other jurisdictions, when City police pursue a suspect across the City line to another municipality, and when a City officer happens to respond to an incident while outside the City.

=== What's Included in the Data ===

===== Publicly Available =====

* Location generalized to a block (police zone for sex crimes)
* Type of incident
* Date
* Time
* Whether or not the incident has been cleared

===== Not Pubicly Available =====

* Victim’s identity
* Actual incident location

=== Where to Find the Data ===

* Most-recent [https://data.wprdc.org/dataset/police-incident-blotter 30 days of incident data (The Blotter)] is published through the Western Pennsylvania Regional Data Center and is updated daily.
* [https://data.wprdc.org/dataset/uniform-crime-reporting-data Uniform Crime Reporting Data Recent Archive (Over 30 days old)] is published through the Western Pennsylvania Regional Data Center and is updated daily.
* [http://pittsburghpa.gov/publicsafety/updates.htm?mode=top&topid=101 Pittsburgh Public Safety Press Releases] contain additional information on selected incidents
* This data is also featured on the City of Pittsburgh's [https://pittsburghpa.shinyapps.io/BurghsEyeView/ Burgh's Eye View] mapping tool

=== Things to Know ===

* Sex crimes will only be reported at the police zone level to protect victim confidentiality. All other crimes will be reported at the block level (based on street address range).
* Incident data is published using the UCR hierarchical classification system developed by the FBI. Multiple crimes may be included in the same incident, and incidents are coded by the highest-level offense.
* Unfounded incidents will be removed from the database. As the status or classification of an incident changes, these changes will be reflected on the open data portal. When using data, it is a good practice to cite when it was accessed.
* Incidents solely reported by other police departments operating in the City (campus police, Port Authority, etc) are not captured in this data.
* Archived data (2005-15) may first be published without coordinates, but coordinates will be made available as additional geocoding processes are run on the data.
* Not all incidents are reported. Incident reporting rates may vary from one community or person to the next.

Crime, Courts, and Corrections Guide:Victimization

2022-12-20T20:49:05Z

Rossr:

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh|Crime, Courts and Corrections in the City of Pittsburgh]].''

Information on crime victims at a national level is available through the U.S. Census Bureau and the Bureau of Justice Statistics. Both agencies collaborate to collect data from a sample of U.S. residents in the National Crime Victimization Survey.<ref>http://www.bjs.gov/index.cfm?ty=dcdetail&iid=245</ref> The survey collects data on the age, sex, race and Hispanic origin, marital status, education level, and income of people in the sample, and asks whether they have been a recent victim of crime. For each incident, the Victimization Survey also includes information about the offender (age, race and Hispanic origin, sex, and victim-offender relationship), details about the crime (including time and place of occurrence, use of weapons, nature of injury, and economic consequences), whether the crime was ever reported to police (or reasons for not reporting), and the experiences of the victim with the criminal justice system.

According to summary statistics from the National Crime Victimization Survey<ref>http://www.bjs.gov/content/pub/pdf/cv14.pdf</ref>, a large number of crimes go unreported, In 2014, 46% of violent crimes and 37% of property crimes were reported to police nationwide. The levels of reporting can also vary considerably by the individual types of crimes. Within the violent crime category, 61% of robberies but only 34% of rape/sexual assault incidents are reported to police. A similar variance can also be seen in property crime, where 60% of burglaries and 83% of motor vehicle thefts are reported, but law enforcement is notified of only 29% of thefts. This level of non-reporting should be taken into account when evaluating victimization statistics from local data sources.

Data on the victims of reported homicides in Pittsburgh and in Allegheny County is available through an interactive data visualization developed by the Allegheny County Department of Human Services. This data is collected from crime reports, and is reported by municipality in the County dashboard, and by neighborhood in the City dashboard. Details include age, race, and gender of the victim.

=== What's Included in the Data ===

===== Publicly Available =====

* Total victims
* Age of victims
* Race of victims
* Gender of victims

===== Not Pubicly Available =====

* Specific identity of the victims

=== Where to Find the Data ===

* [http://www.bjs.gov/index.cfm?ty=dcdetail&iid=245 Data from the National Crime Victimization Survey is available from the Federal Bureau of Justice Statistics]
* Data on victims of homicide in the [https://tools.wprdc.org/guides/public-safety/victimization/ City] and [https://tableau.alleghenycounty.us/t/PublicSite/views/Homicides_In_Allegheny_County/HomicideTrends?iframeSizedToWindow=true&%3Aembed=y&%3AshowAppBanner=false&%3Adisplay_count=no&%3AshowVizHome=no County] are available through separate data visualizations developed by the Allegheny County Department of Human Services. Data is available beginning in 2010.

=== Things to Know ===

* Allegheny County and City of Pittsburgh data is generated by the Allegheny County Office of the Medical Examiner
* Only homicide victims are included in the City of Pittsburgh and Allegheny County data.

== References ==

Crime, Courts, and Corrections Guide:Victimization

2022-12-20T20:48:25Z

Rossr: Created page with "''This guide is part of a larger guide on Crime, Courts and Corrections in the City of Pittsburgh.'' Information..."

''This guide is part of a larger guide on [[Crime, Courts, and Corrections in the City of Pittsburgh|Crime, Courts and Corrections in the City of Pittsburgh]].''

Information on crime victims at a national level is available through the U.S. Census Bureau and the Bureau of Justice Statistics. Both agencies collaborate to collect data from a sample of U.S. residents in the National Crime Victimization Survey.<ref>http://www.bjs.gov/index.cfm?ty=dcdetail&iid=245</ref> The survey collects data on the age, sex, race and Hispanic origin, marital status, education level, and income of people in the sample, and asks whether they have been a recent victim of crime. For each incident, the Victimization Survey also includes information about the offender (age, race and Hispanic origin, sex, and victim-offender relationship), details about the crime (including time and place of occurrence, use of weapons, nature of injury, and economic consequences), whether the crime was ever reported to police (or reasons for not reporting), and the experiences of the victim with the criminal justice system.

According to summary statistics from the National Crime Victimization Survey<ref>http://www.bjs.gov/content/pub/pdf/cv14.pdf</ref>, a large number of crimes go unreported, In 2014, 46% of violent crimes and 37% of property crimes were reported to police nationwide. The levels of reporting can also vary considerably by the individual types of crimes. Within the violent crime category, 61% of robberies but only 34% of rape/sexual assault incidents are reported to police. A similar variance can also be seen in property crime, where 60% of burglaries and 83% of motor vehicle thefts are reported, but law enforcement is notified of only 29% of thefts. This level of non-reporting should be taken into account when evaluating victimization statistics from local data sources.

Data on the victims of reported homicides in Pittsburgh and in Allegheny County is available through an interactive data visualization developed by the Allegheny County Department of Human Services. This data is collected from crime reports, and is reported by municipality in the County dashboard, and by neighborhood in the City dashboard. Details include age, race, and gender of the victim.

=== What's Included in the Data ===

===== Publicly Available =====

* Total victims
* Age of victims
* Race of victims
* Gender of victims

===== Not Pubicly Available =====

* Specific identity of the victims

=== Where to Find the Data ===

* [http://www.bjs.gov/index.cfm?ty=dcdetail&iid=245 Data from the National Crime Victimization Survey is available from the Federal Bureau of Justice Statistics]
* Data on victims of homicide in the [https://tools.wprdc.org/guides/public-safety/victimization/ City] and [https://tableau.alleghenycounty.us/t/PublicSite/views/Homicides_In_Allegheny_County/HomicideTrends?iframeSizedToWindow=true&%3Aembed=y&%3AshowAppBanner=false&%3Adisplay_count=no&%3AshowVizHome=no County] are available through separate data visualizations developed by the Allegheny County Department of Human Services. Data is available beginning in 2010.

=== Things to Know ===

* Allegheny County and City of Pittsburgh data is generated by the Allegheny County Office of the Medical Examiner
* Only homicide victims are included in the City of Pittsburgh and Allegheny County data.

Crime, Courts, and Corrections in the City of Pittsburgh

2022-12-20T20:44:40Z

Rossr: Created page with "This guide to Crime, Courts, and Corrections was created to make it easier to find, understand, and use information about public safety in the City of Pittsburgh, and the crim..."

This guide to Crime, Courts, and Corrections was created to make it easier to find, understand, and use information about public safety in the City of Pittsburgh, and the criminal justice and corrections systems in Allegheny County and the State of Pennsylvania. While public agencies are now sharing a growing amount of data, this information does not have value to most people without context or an understanding of underlying systems, laws, policies, and processes.

Release of the data in this document allows the City to be a participant in the National Police Data Initiative. Founded in 2015, the Initiative is an outgrowth of President Obama’s Task Force on 21st Century Policing designed to reduce crime by building trust between citizens and police. Information sharing is viewed as a major trust-building step law enforcement organizations can take, and over 50 jurisdictions are now participating in the Initiative. For more information, please see the National Police Data Initiative’s FAQ.

The Western Pennsylvania Regional Data Center is pleased to have worked with our City and County partners to publish much of the information referenced in this guide as open data. We’re also grateful to have had their help in assembling and editing this document. This guide also illustrates a critical partnership between the City’s Bureau of Police and the County Department of Human Services. Many of the tools featured in this guide were developed through this City-County collaboration.

This guide was inspired by Crime and Punishment in Chicago, a Website developed by the Smart Chicago Collaborative.

= Tools =
A number of tools have been developed to make it easier for people to use and understand the data contained in this guide, and a growing number of these tools are being developed by public sector staff at the City and County, the university community, journalists, and civic technologists. We’ve included links to some of them here. Please let us know if there are others that should be included in this list.

=== Allegheny County Jail Population Management Dashboards ===
Allegheny County developed a series publicly available, interactive dashboards to allow users to explore different aspects of the Allegheny County Jail population. Dashboards provide information on the daily population, alternative housing, bookings, releases, length of stay, service usage, and involvement with the justice system prior to booking.

=== City of Pittsburgh Annual Police Statistical Reports ===

* 2018 Annual Report
* 2017 Annual Report
* 2016 Annual Report
* 2015 Annual Report
* 2014 Annual Report
* 2013 Annual Report
* 2012 Annual Report

=== Homicides ===
Homicide information in the City of Pittsburgh and Allegheny County are available through two separate dashboards. Data for the City dates back to 2010, with data from the County available as early as 2007. These tools include data on the number of homicides, clearance rates, weapons used, time of the incident, day of the week, demographics on victims and perpetrators, and benchmarks to other cities. They were developed through a collaboration of the Allegheny County Department of Human Services and the Allegheny County Office of the Medical Examiner.

=== Gun Violence ===
Learn more about gun violence in your neighborhood on this dashboard developed by the Allegheny County Department of Human Services and the City of Pittsburgh. This tool includes data on shootings, aggravated assaults involving a gun, and shots fired. The data, available back to 2010 also includes information on the time of day shootings occur.

=== Overall Trends in Violence ===
This dashboard contains information on trends in violence by neighborhood back to 2010. The tool contains information on homicides, shootings, assaults, and calls for shots fired, and also includes information on the number of incidents involving the use of a firearm. It was developed through a collaboration of the Allegheny County Department of Human Services and the City of Pittsburgh.

=== Crime in Pittsburgh ===
The Crime Dashboard provides information on the types of incidents occurring in your neighborhood. The tool developed through a collaboration of the Allegheny County Department of Human Services and the City of Pittsburgh also includes information on the number of crimes cleared, the time that incidents occur, and the victims back to 2005.

=== Burgh's Eye View ===
With Burgh's Eye View you can easily see all kinds of data about Pittsburgh—including 311 requests, building permits, code violations, and public safety incidents.But City data isn’t a log of when and where we put our parking chairs. It’s a huge collection of information about the world around us that can help us understand what’s happening in our neighborhoods, and lead us to ideas and decisions that can make where we live better.

= Data =
This guide contains information on the types of data describing aspects of policing, criminal justice, and corrections system in the City of Pittsburgh, Allegheny County, and Pennsylvania. Each of the categories shown here in this section of the guide describe the types of data that are available, provide links to where it can be found, and describe some additional context to help people use and interpret the data accurately and responsibly.

=== Victimization ===
[[Crime, Courts, and Corrections Guide:Victimization]]

Data on the victims of reported homicides in Pittsburgh is available through an interactive data visualization developed through a partnership of the City of Pittsburgh and Allegheny County Department of Human Services.

=== Incidents ===
Crime incident reports are often created following a police investigation. Incident reports may also be generated from calls for service.

'''''Police Incident Blotter data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Prison ===
The Pennsylvania Department of Corrections manages 25 state correctional institutions and a number of other correctional facilities in Pennsylvania. Data on the monthly prison population by facility, and annual admissions and releases by county are available, along with information on inmates through the State’s Inmate locator tool.

=== Non-Traffic Citations ===
Non-Traffic Citations in Pittsburgh are given for minor criminal offenses, and are often called summary offenses. The types of offenses that often result in a citation include loitering, disorderly conduct, harassment, public drunkenness, and low-level retail theft.

'''''Non-Traffic Citation data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Jail ===
The population of the Allegheny County Jail changes on a daily basis as people are arrested, released on bail, exonerated, sentenced, transferred to another facility, paroled, or released.

'''''Jail Census data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

=== Courts ===
The Allegheny County Department of Court Records’ Criminal Division is the custodian of criminal records in Allegheny County. While the county manages this information, the data is owned by the Unified Judicial System of Pennsylvania.

=== Call for Service ===
In Allegheny County, data on emergency calls for service are managed by the Allegheny County Emergency Services. Non-emergency calls for service are made through the City of Pittsburgh’s 311 system managed by the City’s Department of Innovation and Performance.

'''''Data for non-emergency 311 calls for service is updated hourly, and can be found on the Regional Data Center’s open data portal.'''''

=== Arrests ===
Data on people taken into custody by City of Pittsburgh officers are available as open data. More serious crimes such as misdemeanors and felony offenses are more-likely to result in arrests, however arrests may occur for other reasons such as parole violations or failure to appear for trial.

'''''Arrest data updates every day, and can be found on the Regional Data Center’s open data portal.'''''

= Policies =
Policies and procedures govern the way officers interact with citizens, report incidents, and ensure accountability. Sharing policies and data on police-community interactions demonstrates the desire of City leaders to build trust with residents, and highlights their commitment to transparency.

The City of Pittsburgh is making the following data available on the Regional Data Center’s open data portal:

* [https://data.wprdc.org/dataset/police-community-outreach Police Community Outreach Events]
* [https://data.wprdc.org/dataset/officer-training Officer Training]
* [https://data.wprdc.org/dataset/police-civil-actions Police Civil Action Litigation]
* [http://apps.pittsburghpa.gov/dps/Use_of_Force_in_the_City_of_Pittsburgh.pdf Use of Force]

Data Guides

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Rossr:

Data Guides

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Rossr:

Links to detailed document about data that includes social contextual information.

== WPRDC Data Guides ==
[[DASH Data Guide]]

[[Guide to Property and Housing Data]]

Crime, Courts, and Corrections in the City of Pittsburgh