A listing of all steps and stairways in the City of Pittsburgh

City of Pittsburgh Boundary based on 2020 Census Data. This includes Mt. Oliver Borough which is not a part of Pittsburgh but is included since it is fully enclosed by Pittsburgh. This also includes rivers within Pittsburgh. This is considered current as of August 2023.

This traffic-count data is provided by the City of Pittsburgh's Department of Mobility & Infrastructure (DOMI). Counters were deployed as part of traffic studies, including intersection studies, and studies covering where or whether to install speed humps. In some cases, data may have been collected by the Southwestern Pennsylvania Commission (SPC) or BikePGH.

Data is currently available for only the most-recent count at each location.

Traffic count data is important to the process for deciding where to install speed humps. According to DOMI, they may only be legally installed on streets where traffic counts fall below a minimum threshhold. Residents can request an evaluation of their street as part of DOMI's Neighborhood Traffic Calming Program. The City has also shared data on the impact of the Neighborhood Traffic Calming Program in reducing speeds.

Different studies may collect different data. Speed hump studies capture counts and speeds. SPC and BikePGH conduct counts of cyclists. Intersection studies included in this dataset may not include traffic counts, but reports of individual studies may be requested from the City. Despite the lack of count data, intersection studies are included to facilitate data requests.

Data captured by different types of counting devices are included in this data. StatTrak counters are in use by the City, and capture data on counts and speeds. More information about these devices may be found on the company's website. Data includes traffic counts and average speeds, and may also include separate counts of bicycles.

Tubes are deployed by both SPC and BikePGH and used to count cyclists. SPC may also deploy video counters to collect data.

NOTE: The data in this dataset has not updated since 2021 because of a broken data feed. We're working to fix it.

U.S. Census Bureau QuickFacts statistics for Pittsburgh city, Pennsylvania. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Pittsburgh City Boundary

Pittsburgh City Historic District Individual Properties

This dataset contains two versions of the map of Pittsburgh City Council Districts, the current one (dating from 2022) and an earlier one (dating from 2012), each in multiple formats.

For older city council district maps going back to 2022, see https://data.wprdc.org/dataset/pittsburgh-city-council-district-map

Introduction

This dataset demonstrates the use of Gaussian processes (GPs) to learn and make inferences about traffic speed distribution over a city-wide road network (of Pittsburgh, Pennsylvania) at 3 different points in time (8 am, 2 pm, and 8 pm) on a typical weekday/weekend.

Content

The dataset contains 3 separate CSV files: training set, prediction set, and (road) segment data frame. The training set contains the observed (average) traffic speed over select road segments (where traffic sensors are installed) at 3 different times (8 am, 2 pm, and 8 pm) on a typical weekday/weekend over a multi-month period. Each road segment is specified by the longitude and latitude (x and y) coordinates of its two endpoints. The prediction set extends the (spatially inferred) traffic speeds over the entire road network of the city, covering all road segments where no sensors were installed. Similar to the training set, the coverage periods are at those 3 time points on a typical weekday/weekend.

The segment data frame only contains the x and y coordinates of the road segments in the city (described by the shapefile downloaded from http://www.wprdc.org/). This data frame is to be merged with the prediction set (given a time point and a day) in order to render the city-wide traffic speed distribution at that particular time.

Acknowledgements

For detailed description on data collection and curation as well as machine learning methodologies, refer to this paper: https://ieeexplore.ieee.org/abstract/document/7676341

This polygon shapefile displays the 91 neighborhoods in the City of Pittsburgh.

Boundaries for Pittsburgh City Council

PGH Open City Council Districts

This dataset now hosts multiple versions of the Pittsburgh Community Development Block Grant (CDBG) Census Tract areas, obtained from the Pittsburgh GIS portal: one from 2014 and one from 2018.

The WPRDC also hosts a dataset containing CDBG Census Block Group areas.

Pittsburgh Neighborhoods

This dataset provides information about the number of properties, residents, and average property values for Municipal Street cross streets in Pittsburgh, PA.

This dataset provides information about the number of properties, residents, and average property values for Pittsburgh Circle cross streets in Ellwood City, PA.

Chart and table of population level and growth rate for the Pittsburgh metro area from 1950 to 2025.

Pittsburgh City Boundary

City of Pittsburgh playing fields.

NOTE: The data in this dataset has not updated since 2021 because of a broken data feed. We're working to fix it.

H-1B visa sponsorship trends for Pittsburgh, PA, covering top employers, salary insights, approval rates, and geographic distribution. Explore how work city impacts the U.S. job market under the H-1B program.

Signalized intersections operated and maintained by the City of Pittsburgh's Department of Public Works