About this dataset

Context

The dataset tabulates the Pittsburgh population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Pittsburgh across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Pittsburgh was 302,898, a 0.83% decrease year-by-year from 2021. Previously, in 2021, Pittsburgh population was 305,441, an increase of 0.88% compared to a population of 302,762 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Pittsburgh decreased by 30,697. In this period, the peak population was 333,595 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Pittsburgh is shown in this column.
• Year on Year Change: This column displays the change in Pittsburgh population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Pittsburgh median household income by race. The dataset can be utilized to understand the racial distribution of Pittsburgh income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Pittsburgh, PA median household income breakdown by race betwen 2012 and 2022
• Median Household Income by Racial Categories in Pittsburgh, PA (2022)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Pittsburgh median household income by race. You can refer the same here

In 2023, the population of the Pittsburgh metropolitan area in the United States was about 2.42 million people. This was a slight decrease from the previous year, when the population was about 2.43 million people.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Allegheny County, PA (DISCONTINUED) (NETMIGNACS042003) from 2009 to 2020 about Allegheny County, PA; Pittsburgh; migration; flow; PA; Net; 5-year; and population.

About this dataset

Context

The dataset tabulates the East Pittsburgh population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of East Pittsburgh across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of East Pittsburgh was 1,877, a 1.37% decrease year-by-year from 2021. Previously, in 2021, East Pittsburgh population was 1,903, a decline of 1.09% compared to a population of 1,924 in 2020. Over the last 20 plus years, between 2000 and 2022, population of East Pittsburgh decreased by 188. In this period, the peak population was 2,065 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the East Pittsburgh is shown in this column.
• Year on Year Change: This column displays the change in East Pittsburgh population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 East Pittsburgh Population by Year. You can refer the same here

City of Pittsburgh SNAP census data 2010.

Pittsburgh 2020 Census Blockgroups

Chris Briem of the University of Pittsburgh Center for Social and Urban Research has been producing extracts from the Census Bureau's PL 94-171 redistricting file.

On August 12th, the U.S. Census Bureau released the first detailed data from the 2020 Decennial Census of Population and Housing. Before this, the only data that has been released from the 2020 Census has been total population counts by state needed for the reapportionment of congressional seats. The data just released is known as PL 94-171 data and includes the final census enumeration of the population by race and ethnicity for counties, municipalities, and smaller levels of geography.

PL 94-171 data is used in the redrawing of the boundaries for federal, state, and local legislative districts, a process known as redistricting. This data includes housing unit counts, occupancy status for housing units, population totals, and population by race Hispanic/Latino origin, voting-age population (age 18+), and group quarters counts. The Census Bureau will be releasing additional data, including more detailed population and household statistics from the 2020 Census in the future.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Westmoreland County, PA (DISCONTINUED) (NETMIGNACS042129) from 2009 to 2020 about Westmoreland County, PA; Pittsburgh; migration; flow; PA; Net; 5-year; and population.

About this dataset

Context

The dataset tabulates the East Pittsburgh median household income by race. The dataset can be utilized to understand the racial distribution of East Pittsburgh income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• East Pittsburgh, PA median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in East Pittsburgh, PA (2021, in 2022 inflation-adjusted dollars)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of East Pittsburgh median household income by race. You can refer the same here

This dataset includes enrollment data for Pittsburgh Public Schools. Data is presented by school, feeder pattern / attendance boundary, and by neighborhood. A table also includes data on the number of students attending schools by neighborhood. Data includes preschool students through 12th grade.

This data can be very useful in understanding neighborhood-level enrollment patterns, student demographics by neighborhood and school, and can also be used to inform school-community partnerships.

Students attending charter, private and parochial schools are not included in this data. Only students enrolled in a Pittsburgh Public School are captured.

Totals with fewer than 11 students have been redacted to adhere to School District privacy policies.

Data was extracted from the Pittsburgh Public Schools data system in January, 2021. It captures the school where the student was enrolled on October 1st. The neighborhood school the student feeds into based on their address as of the beginning of the 2020-21 school year.

Resident Population in Pittsburgh, PA (MSA) was 2429.91700 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Pittsburgh, PA (MSA) reached a record high of 2455.37200 in January of 2020 and a record low of 2317.91300 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Pittsburgh, PA (MSA) - last updated from the United States Federal Reserve on July of 2025.

The net income of Ampco Pittsburgh with headquarters in the United States amounted to 2.35 million U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total decrease by approximately 6.82 million U.S. dollars. The trend from 2020 to 2024 shows, however, that this decrease did not happen continuously.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Butler County, PA (DISCONTINUED) (NETMIGNACS042019) from 2009 to 2020 about Butler County, PA; Pittsburgh; migration; flow; PA; Net; 5-year; and population.

The POGOH bike share scheme in Pittsburgh, Pennsylvania, recorded its highest number of trips in September 2023 at over ******. The scheme was previously known as Healthy Ride and was rebranded as POGOH in 2022 after being closed down for several months.

About this dataset

Context

The dataset tabulates the East Pittsburgh household income by gender. The dataset can be utilized to understand the gender-based income distribution of East Pittsburgh income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• East Pittsburgh, PA annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
• East Pittsburgh, PA annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of East Pittsburgh income distribution by gender. You can refer the same here

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Fayette County, PA (DISCONTINUED) (NETMIGNACS042051) from 2009 to 2020 about Fayette County, PA; Pittsburgh; migration; flow; PA; Net; 5-year; and population.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Washington County, PA (DISCONTINUED) (NETMIGNACS042125) from 2009 to 2020 about Washington County, PA; Pittsburgh; migration; flow; PA; Net; 5-year; and population.

The Allegheny County Health Department has teamed up with local partners through the CDC-funded Racial and Ethnic Approaches to Community Health (REACH) grant to address health disparities within identified priority communities. The coalition aims to improve health, prevent chronic diseases, and reduce health disparities among residents with the highest risk, or burden, of chronic disease. The communities that our partners are currently prioritizing include Clairton, Duquesne, McKeesport, North Braddock, North Versailles, Rankin, and Wilkinsburg and the neighborhoods of the Northside, Homewood/Larimer, the Hill District, Garfield, Hazelwood, West End, and the Hilltop in the City of Pittsburgh.This is an Allegheny County extract of the 2020 US Census Tracts downloaded from the following website: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.htmlCategory: HealthOrganization: Allegheny County Department: Health DepartmentTemporal Coverage: currentData Notes: Coordinate System: GCS_North_American_1983Development Notes: The American Community Survey (ACS) 2017-2021 5-year Poverty Data (S1701) was used to determine what census tracts in Allegheny County had 20% of the total population living below 100% of the federal poverty level (FPL). Using a 3-step custom sort the census tracts were ranked to determine the census tracts with the highest number and percent of black residents living below the FPL. The previous grant cycle (2018) focused on 6 regions that fit this criteria and 3 additional regions were added in 2023. Neighborhoods with a high student population were excluded from the final list of census tracts including Oakland, Bluff, Southside Flats, and Southside Slopes. Related Document(s): REACH – Live Well AlleghenyAbout REACH | REACH | CDCFrequency - Data Change: As neededFrequency - Publishing: As neededData Steward Name: Samantha ScottData Steward Email: samantha.scott@alleghenycounty.us

The liabilities of Ampco Pittsburgh with headquarters in the United States amounted to 459.8 million U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately 81.59 million U.S. dollars. The trend from 2020 to 2024 shows, however, that this increase did not happen continuously.