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Context
The dataset tabulates the population of Pittsburgh by race. It includes the population of Pittsburgh across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Pittsburgh across relevant racial categories.
Key observations
The percent distribution of Pittsburgh population by race (across all racial categories recognized by the U.S. Census Bureau): 64.46% are white, 23.23% are Black or African American, 0.18% are American Indian and Alaska Native, 5.61% are Asian, 0.03% are Native Hawaiian and other Pacific Islander, 1.19% are some other race and 5.31% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Pittsburgh Population by Race & Ethnicity. You can refer the same here
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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 189,705 (65.24% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Pittsburgh Population by Race & Ethnicity. You can refer the same here
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Context
The dataset tabulates the Pittsburgh median household income by race. The dataset can be utilized to understand the racial distribution of Pittsburgh income.
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).
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.
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/.
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
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Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Allegheny County, PA (B03002010E042003) from 2009 to 2023 about Allegheny County, PA; Pittsburgh; non-hispanic; PA; estimate; 5-year; persons; population; and USA.
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Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Fayette County, PA (B03002010E042051) from 2009 to 2023 about Fayette County, PA; Pittsburgh; non-hispanic; PA; estimate; 5-year; persons; population; and USA.
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Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Excluding Some Other Race, and Three or More Races (5-year estimate) in Butler County, PA (B03002021E042019) from 2009 to 2023 about Butler County, PA; Pittsburgh; latino; hispanic; PA; estimate; 5-year; persons; population; and USA.
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The data on relationship to householder were derived from answers to Question 2 in the 2015 American Community Survey (ACS), which was asked of all people in housing units. The question on relationship is essential for classifying the population information on families and other groups. Information about changes in the composition of the American family, from the number of people living alone to the number of children living with only one parent, is essential for planning and carrying out a number of federal programs.
The responses to this question were used to determine the relationships of all persons to the householder, as well as household type (married couple family, nonfamily, etc.). From responses to this question, we were able to determine numbers of related children, own children, unmarried partner households, and multi-generational households. We calculated average household and family size. When relationship was not reported, it was imputed using the age difference between the householder and the person, sex, and marital status.
Household – A household includes all the people who occupy a housing unit. (People not living in households are classified as living in group quarters.) A housing unit is a house, an apartment, a mobile home, a group of rooms, or a single room that is occupied (or if vacant, is intended for occupancy) as separate living quarters. Separate living quarters are those in which the occupants live separately from any other people in the building and which have direct access from the outside of the building or through a common hall. The occupants may be a single family, one person living alone, two or more families living together, or any other group of related or unrelated people who share living arrangements.
Average Household Size – A measure obtained by dividing the number of people in households by the number of households. In cases where people in households are cross-classified by race or Hispanic origin, people in the household are classified by the race or Hispanic origin of the householder rather than the race or Hispanic origin of each individual.
Average household size is rounded to the nearest hundredth.
Comparability – The relationship categories for the most part can be compared to previous ACS years and to similar data collected in the decennial census, CPS, and SIPP. With the change in 2008 from “In-law” to the two categories of “Parent-in-law” and “Son-in-law or daughter-in-law,” caution should be exercised when comparing data on in-laws from previous years. “In-law” encompassed any type of in-law such as sister-in-law. Combining “Parent-in-law” and “son-in-law or daughter-in-law” does not represent all “in-laws” in 2008.
The same can be said of comparing the three categories of “biological” “step,” and “adopted” child in 2008 to “Child” in previous years. Before 2008, respondents may have considered anyone under 18 as “child” and chosen that category. The ACS includes “foster child” as a category. However, the 2010 Census did not contain this category, and “foster children” were included in the “Other nonrelative” category. Therefore, comparison of “foster child” cannot be made to the 2010 Census. Beginning in 2013, the “spouse” category includes same-sex spouses.
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This dataset tracks annual two or more races student percentage from 2013 to 2023 for Pittsburgh Arsenal K-5 vs. Pennsylvania and Pittsburgh School District
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The dataset tabulates the Non-Hispanic population of East Pittsburgh by race. It includes the distribution of the Non-Hispanic population of East Pittsburgh across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of East Pittsburgh across relevant racial categories.
Key observations
With a zero Hispanic population, East Pittsburgh is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is Black or African American alone with a population of 1,247 (69.78% of the total Non-Hispanic population).
https://i.neilsberg.com/ch/east-pittsburgh-pa-population-by-race-and-ethnicity.jpeg" alt="East Pittsburgh Non-Hispanic population by race">
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for East Pittsburgh Population by Race & Ethnicity. You can refer the same here
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This dataset tracks annual two or more races student percentage from 2013 to 2023 for Pittsburgh Whittier K-5 vs. Pennsylvania and Pittsburgh School District
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This dataset tracks annual two or more races student percentage from 2013 to 2023 for Pittsburgh Brashear High School vs. Pennsylvania and Pittsburgh School District
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Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Two or More Races, Two Races Excluding Some Other Race, and Three or More Races (5-year estimate) in Washington County, PA (B03002021E042125) from 2009 to 2023 about Washington County, PA; Pittsburgh; latino; hispanic; PA; estimate; 5-year; persons; population; and USA.
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This dataset tracks annual two or more races student percentage from 2013 to 2023 for Pittsburgh Minadeo K-5 vs. Pennsylvania and Pittsburgh School District
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Context
The dataset tabulates the population of East Pittsburgh by race. It includes the population of East Pittsburgh across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of East Pittsburgh across relevant racial categories.
Key observations
The percent distribution of East Pittsburgh population by race (across all racial categories recognized by the U.S. Census Bureau): 25.74% are white, 69.78% are Black or African American and 4.48% are multiracial.
https://i.neilsberg.com/ch/east-pittsburgh-pa-population-by-race.jpeg" alt="East Pittsburgh population by race">
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for East Pittsburgh Population by Race & Ethnicity. You can refer the same here
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Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Including Some Other Race (5-year estimate) in Armstrong County, PA (B03002010E042005) from 2009 to 2023 about Armstrong County, PA; Pittsburgh; non-hispanic; PA; estimate; 5-year; persons; population; and USA.
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Historical Dataset of Pittsburgh Allderdice High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1987-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1987-2023),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1990-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (2003-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2016),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2012-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2012-2023),Graduation Rate Comparison Over Years (2013-2023)
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TwitterChris 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.
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This dataset tracks annual two or more races student percentage from 2013 to 2023 for Pittsburgh Morrow K-8 vs. Pennsylvania and Pittsburgh School District
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This dataset tracks annual two or more races student percentage from 2013 to 2023 for Pittsburgh Obama 6-12 vs. Pennsylvania and Pittsburgh School District
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TwitterFinancial overview and grant giving statistics of Western Pa Pittsburgh Toy Run Inc.
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License information was derived automatically
Context
The dataset tabulates the population of Pittsburgh by race. It includes the population of Pittsburgh across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Pittsburgh across relevant racial categories.
Key observations
The percent distribution of Pittsburgh population by race (across all racial categories recognized by the U.S. Census Bureau): 64.46% are white, 23.23% are Black or African American, 0.18% are American Indian and Alaska Native, 5.61% are Asian, 0.03% are Native Hawaiian and other Pacific Islander, 1.19% are some other race and 5.31% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Pittsburgh Population by Race & Ethnicity. You can refer the same here