This compilation includes five historical datasets that are part of the University of Pittsburgh Library collection. The datasets were transcribed from The Pittsburgh Neighborhood Atlas, published in 1977. The atlas was prepared by the Pittsburgh Neighborhood Alliance. The information provides an insight into the neighborhoods conditions and the direction in which they were moving at the time of preparation. Much of the material describing neighborhood characteristics came from figures compiled for smaller areas: voting districts or census blocks. The five datasets in this collection provide data about overall neighborhood satisfaction and satisfaction with public services, based on a city-wide citizen survey. Also included are statistics about public assistance, the crime rate and the changes in real estate and mortgage loans transactions.

This data ceased updating with the transition to a new records management system on 11/14/2023. Access to the updated data source will be provided in the future.

Arrest data contains information on people taken into custody by City of Pittsburgh police officers. More serious crimes such as felony offenses are more likely to result in an arrest. However, arrests can occur as a result of other offenses, such as parole violations or a failure to appear for trial. All data is reported at the block/intersection level, with the exception of sex crimes, which are reported at the police zone level.

This dataset only contains information reported by City of Pittsburgh Police. It does not contain information about incidents that solely involve other police departments operating within the city (for example, campus police or Port Authority police).

More documentation is available in our Crime Data Guide.

This study examined spatial and temporal features of crime guns in Pittsburgh, Pennsylvania, in order to ascertain how gun availability affected criminal behavior among youth, whether the effects differed between young adults and juveniles, and whether that relationship changed over time. Rather than investigating the general prevalence of guns, this study focused only on those firearms used in the commission of crimes. Crime guns were defined specifically as those used in murders, assaults, robberies, weapons offenses, and drug offenses. The emphasis of the project was on the attributes of crime guns and those who possess them, the geographic sources of those guns, the distribution of crime guns over neighborhoods in a city, and the relationship between the prevalence of crime guns and the incidence of homicide. Data for Part 1, Traced Guns Data, came from the City of Pittsburgh Bureau of Police. Gun trace data provided a detailed view of crime guns recovered by police during a two-year period, from 1995 to 1997. These data identified the original source of each crime gun (first sale to a non-FFL, i.e., a person not holding a Federal Firearms License) as well as attributes of the gun and the person possessing the gun at the time of the precipitating crime, and the ZIP-code location where the gun was recovered. For Part 2, Crime Laboratory Data, data were gathered from the local county crime laboratory on guns submitted by Pittsburgh police for forensic testing. These data were from 1993 to 1998 and provided a longer time series for examining changes in crime guns over time than the data in Part 1. In Parts 3 and 4, Stolen Guns by ZIP-Code Data and Stolen Guns by Census Tract Data, data on stolen guns came from the local police. These data included the attributes of the guns and residential neighborhoods of owners. Part 3 contains data from 1987 to 1996 organized by ZIP code, whereas Part 4 contains data from 1993 to 1996 organized by census tract. Part 5, Shots Fired Data, contains the final indicator of crime gun prevalence for this study, which was 911 calls of incidents involving shots fired. These data provided vital information on both the geographic location and timing of these incidents. Shots-fired incidents not only captured varying levels of access to crime guns, but also variations in the willingness to actually use crime guns in a criminal manner. Part 6, Homicide Data, contains homicide data for the city of Pittsburgh from 1990 to 1995. These data were used to examine the relationship between varying levels of crime gun prevalence and levels of homicide, especially youth homicide, in the same city. Part 7, Pilot Mapping Application, is a pilot application illustrating the potential uses of mapping tools in police investigations of crime guns traced back to original point of sale. NTC. It consists of two ArcView 3.1 project files and 90 supporting data and mapping files. Variables in Part 1 include date of manufacture and sale of the crime gun, weapon type, gun model, caliber, firing mechanism, dealer location (ZIP code and state), recovery date and location (ZIP code and state), age and state of residence of purchaser and possessor, and possessor role. Part 2 also contains gun type and model, as well as gun make, precipitating offense, police zone submitting the gun, and year the gun was submitted to the crime lab. Variables in Parts 3 and 4 include month and year the gun was stolen, gun type, make, and caliber, and owner residence. Residence locations are limited to owner ZIP code in Part 3, and 1990 Census tract number and neighborhood name in Part 4. Part 5 contains the date, time, census tract and police zone of 911 calls relating to shots fired. Part 6 contains the date and census tract of the homicide incident, drug involvement, gang involvement, weapon, and victim and offender ages. Data in Part 7 include state, county, and ZIP code of traced guns, population figures, and counts of crime guns recovered at various geographic locations (states, counties, and ZIP codes) where the traced guns first originated in sales by an FFL to a non-FFL individual. Data for individual guns are not provided in Part 7.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Household Furnishings and Supplies in Pittsburgh, PA (CMSA) (DISCONTINUED) (CUUSA104SAH31) from H1 2010 to H2 2017 about Pittsburgh, supplies, PA, urban, households, consumer, CPI, inflation, price index, indexes, price, and USA.

Graph and download economic data for Housing Inventory: Median Listing Price in Pittsburgh, PA (CBSA) (MEDLISPRI38300) from Jul 2016 to Feb 2025 about Pittsburgh, PA, listing, median, price, and USA.

About this dataset

Context

The dataset tabulates the population of Pittsburgh by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Pittsburgh across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.85% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Pittsburgh is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Pittsburgh total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Pittsburgh Population by Race & Ethnicity. You can refer the same here

All Employees: Construction in Pittsburgh, PA (MSA) was 59.27044 Thous. of Persons in February of 2022, according to the United States Federal Reserve. Historically, All Employees: Construction in Pittsburgh, PA (MSA) reached a record high of 65.25844 in February of 2020 and a record low of 35.06042 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Construction in Pittsburgh, PA (MSA) - last updated from the United States Federal Reserve on February of 2025.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Pittsburgh by race. It includes the distribution of the Non-Hispanic population of Pittsburgh across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Pittsburgh across relevant racial categories.

Key observations

Of the Non-Hispanic population in Pittsburgh, the largest racial group is White alone with a population of 193,493 (66.12% of the total Non-Hispanic population).

https://i.neilsberg.com/ch/pittsburgh-pa-population-by-race-and-ethnicity.jpeg" alt="Pittsburgh Non-Hispanic population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Pittsburgh
• Population: The population of the racial category (for Non-Hispanic) in the Pittsburgh is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Pittsburgh total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Pittsburgh Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Consumer Price Index for All Urban Consumers: Commodities in Pittsburgh, PA (CMSA) (DISCONTINUED) (CUURA104SAC) from Jan 1967 to Dec 1997 about Pittsburgh, PA, urban, consumer, CPI, commodities, price index, indexes, price, and USA.

Pittsburgh, PA (MSA) - Consumer Price Index for All Urban Consumers: Housing in Pittsburgh, PA (CMSA) (DISCONTINUED) was 252.71800 Index 1982-84=100 in July of 2017, according to the United States Federal Reserve. Historically, Pittsburgh, PA (MSA) - Consumer Price Index for All Urban Consumers: Housing in Pittsburgh, PA (CMSA) (DISCONTINUED) reached a record high of 252.71800 in July of 2017 and a record low of 105.80000 in January of 1984. Trading Economics provides the current actual value, an historical data chart and related indicators for Pittsburgh, PA (MSA) - Consumer Price Index for All Urban Consumers: Housing in Pittsburgh, PA (CMSA) (DISCONTINUED) - last updated from the United States Federal Reserve on March of 2025.

Unemployment Rate in Pittsburgh, PA (MSA) was 5.10% in January of 2022, according to the United States Federal Reserve. Historically, Unemployment Rate in Pittsburgh, PA (MSA) reached a record high of 17.10 in April of 2020 and a record low of 4.20 in February of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Pittsburgh, PA (MSA) - last updated from the United States Federal Reserve on March of 2025.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Pittsburgh, PA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Pittsburgh, PA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Pittsburgh households based on income levels.

Key observations

• For Family Households: In Pittsburgh, the majority of family households, representing 14.31%, earn $75,000 to $99,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 2.96%, have incomes falling $125,000 to $149,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Pittsburgh, the majority of non-family households, accounting for 13.62%, have income Less than $10,000, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 2.87%, earn $125,000 to $149,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Pittsburgh, PA (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Pittsburgh, PA
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Pittsburgh, PA
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Pittsburgh, PA

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Pittsburgh median household income. You can refer the same here

Graph and download economic data for All Employees: Transportation and Utilities: Transportation, Warehousing, and Utilities in Pittsburgh, PA (MSA) (SMU42383004300000001) from Jan 1990 to Jan 2025 about infrastructure, Pittsburgh, warehousing, utilities, PA, transportation, employment, and USA.

Average Weekly Wages for Employees in State Government Establishments in Pittsburgh, PA (MSA) was 1245.00000 $ per Week in July of 2021, according to the United States Federal Reserve. Historically, Average Weekly Wages for Employees in State Government Establishments in Pittsburgh, PA (MSA) reached a record high of 1279.00000 in October of 2020 and a record low of 505.00000 in April of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Wages for Employees in State Government Establishments in Pittsburgh, PA (MSA) - last updated from the United States Federal Reserve on March of 2025.

Pittsburgh, PA (MSA) - Consumer Price Index for All Urban Consumers: Transportation in Pittsburgh, PA (CMSA) (DISCONTINUED) was 183.66100 Index 1982-84=100 in July of 2017, according to the United States Federal Reserve. Historically, Pittsburgh, PA (MSA) - Consumer Price Index for All Urban Consumers: Transportation in Pittsburgh, PA (CMSA) (DISCONTINUED) reached a record high of 198.60800 in January of 2014 and a record low of 97.30000 in July of 1986. Trading Economics provides the current actual value, an historical data chart and related indicators for Pittsburgh, PA (MSA) - Consumer Price Index for All Urban Consumers: Transportation in Pittsburgh, PA (CMSA) (DISCONTINUED) - last updated from the United States Federal Reserve on March of 2025.

All Employees: Leisure and Hospitality in Pittsburgh, PA (MSA) was 99.10000 Thous. of Persons in January of 2021, according to the United States Federal Reserve. Historically, All Employees: Leisure and Hospitality in Pittsburgh, PA (MSA) reached a record high of 120.50000 in January of 2019 and a record low of 88.20000 in January of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Leisure and Hospitality in Pittsburgh, PA (MSA) - last updated from the United States Federal Reserve on March of 2025.

All Employees: Government in Pittsburgh, PA (MSA) was 109.30000 Thous. of Persons in January of 2022, according to the United States Federal Reserve. Historically, All Employees: Government in Pittsburgh, PA (MSA) reached a record high of 133.90000 in November of 2002 and a record low of 103.10000 in July of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Government in Pittsburgh, PA (MSA) - last updated from the United States Federal Reserve on March of 2025.

All Employees: Leisure and Hospitality: Full-Service Restaurants in Pittsburgh, PA (MSA) was 36.50000 Thous. of Persons in February of 2022, according to the United States Federal Reserve. Historically, All Employees: Leisure and Hospitality: Full-Service Restaurants in Pittsburgh, PA (MSA) reached a record high of 46.50000 in June of 2017 and a record low of 11.30000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Leisure and Hospitality: Full-Service Restaurants in Pittsburgh, PA (MSA) - last updated from the United States Federal Reserve on March of 2025.

Pittsburgh, PA (MSA) - Consumer Price Index for All Urban Consumers: Household Energy in Pittsburgh, PA (CMSA) (DISCONTINUED) was 230.69000 Index 1982-84=100 in July of 2017, according to the United States Federal Reserve. Historically, Pittsburgh, PA (MSA) - Consumer Price Index for All Urban Consumers: Household Energy in Pittsburgh, PA (CMSA) (DISCONTINUED) reached a record high of 260.88100 in July of 2008 and a record low of 100.80000 in January of 1988. Trading Economics provides the current actual value, an historical data chart and related indicators for Pittsburgh, PA (MSA) - Consumer Price Index for All Urban Consumers: Household Energy in Pittsburgh, PA (CMSA) (DISCONTINUED) - last updated from the United States Federal Reserve on March of 2025.

Average Weekly Wages for Employees in Total Covered Establishments in Pittsburgh, PA (MSA) was 1261.55596 $ per Week in July of 2021, according to the United States Federal Reserve. Historically, Average Weekly Wages for Employees in Total Covered Establishments in Pittsburgh, PA (MSA) reached a record high of 1261.55596 in July of 2021 and a record low of 444.63775 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Wages for Employees in Total Covered Establishments in Pittsburgh, PA (MSA) - last updated from the United States Federal Reserve on March of 2025.