In 2023, there were about 10.43 million Black families living in the United States. You can get an overview on the total number of households in the U.S. here.

In 2022, there were about 4.15 million Black families in the United States with a single mother. This is an increase from 1990 levels, when there were about 3.4 million Black families with a single mother.

Single parenthood

The typical family is comprised of two parents and at least one child. However, that is not the case in every single situation. A single parent is someone who has a child but no spouse or partner. Single parenthood occurs for different reasons, including divorce, death, abandonment, or single-person adoption. Historically, single parenthood was common due to mortality rates due to war, diseases, and maternal mortality. However, divorce was not as common back then, depending on the culture.

Single parent wellbeing

In countries where social welfare programs are not strong, single parents tend to suffer more financially, emotionally, and mentally. In the United States, most single parents are mothers. The struggles that single parents face are greater than those in two parent households. The number of families with a single mother in the United States has increased since 1990, but the poverty rate of black families with a single mother has significantly decreased since that same year. In comparison, the poverty rate of Asian families with a single mother, and the percentage of white, non-Hispanic families with a single mother who live below the poverty level in the United States have both been fluctuating since 2002.

In 2023, there were about 1.18 million Black families with a single father living in the United States. This is an increase from 1990, when there were 472,000 Black families with a single father in the U.S.

Financial overview and grant giving statistics of African American Wellness Center for Children & Families

In 2023, 15.4 percent of Black families were living below the poverty line in the United States. Poverty is the state of one who lacks a certain amount of material possessions or money. Absolute poverty or destitution is inability to afford basic human needs, which commonly includes clean and fresh water, nutrition, health care, education, clothing, and shelter.

Graph and download economic data for Expenditures: Other Household Expenses by Race: White and All Other Races, Not Including Black or African American (CXUHHOTHXPNLB0903M) from 2003 to 2023 about white, expenditures, households, and USA.

Graph and download economic data for Income Gini Ratio for Households by Race of Householder, Black Alone or in Combination (GINIBAOICH) from 2002 to 2023 about gini, African-American, households, income, and USA.

About this dataset

Context

The dataset presents the median household income across different racial categories in Mount Olive. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Mount Olive population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 71.24% of the total residents in Mount Olive. Notably, the median household income for Black or African American households is not available from the U.S. Census Bureau, possibly due to insufficient sample size, confidentiality or privacy constraints.. Interestingly, despite the Black or African American population being the most populous, there is no income data available in the latest American Community Survey for it. Based on analysis from all of the data that is available, it is worth noting that White households actually reports the highest median household income, with a median income of $66,206. This reveals that, while Black or African Americans may be the most numerous in Mount Olive, White households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/mount-olive-ms-median-household-income-by-race.jpeg" alt="Mount Olive median household income diversity across racial categories">

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Mount Olive.
• Median household income: Median household income, adjusting for inflation, presented 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/.

Recommended for further research

This dataset is a part of the main dataset for Mount Olive median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Mccomb. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Mccomb population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 75.05% of the total residents in Mccomb. Notably, the median household income for Black or African American households is $30,189. Interestingly, despite the Black or African American population being the most populous, it is worth noting that White households actually reports the highest median household income, with a median income of $50,303. This reveals that, while Black or African Americans may be the most numerous in Mccomb, White households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/mccomb-ms-median-household-income-by-race.jpeg" alt="Mccomb median household income diversity across racial categories">

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Mccomb.
• Median household income: Median household income, adjusting for inflation, presented 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/.

Recommended for further research

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

The median income in 2023 was at 56,490 U.S. dollars for Black households. In 1990, the median income among Black households was 38,360 U.S. dollars (In 2023 U.S. dollars).

Graph and download economic data for Income Gini Ratio of Families by Race of Householder, Black Alone or in Combination (GINIBAOICF) from 2002 to 2023 about gini, African-American, households, income, and USA.

Graph and download economic data for Expenditures: Miscellaneous Household Equipment by Race: White, Asian, and All Other Races, Not Including Black or African American (CXUMISCHHEQLB0902M) from 1984 to 2023 about miscellaneous, asian, equipment, white, expenditures, households, and USA.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2021 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Quakertown. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Quakertown, the median household income for the households where the householder is White increased by $6,173(9.47%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $65,167 in 2011 and $71,340 in 2021.
• Black or African American: In Quakertown, the median household income for Black or African American households was $85,678 in 2011(2022 inflation-adjusted dollars). However there is no reported data for 2021, indicating a lack of information for this specific year.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/quakertown-pa-median-household-income-by-race-trends.jpeg" alt="Quakertown, PA median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Quakertown.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented 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/.

Recommended for further research

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

About this dataset

Context

The dataset presents the median household income across different racial categories in Marks. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Marks population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 70.96% of the total residents in Marks. Notably, the median household income for Black or African American households is $26,173. Interestingly, despite the Black or African American population being the most populous, it is worth noting that White households actually reports the highest median household income, with a median income of $61,047. This reveals that, while Black or African Americans may be the most numerous in Marks, White households experience greater economic prosperity in terms of median household income.

https://i.neilsberg.com/ch/marks-ms-median-household-income-by-race.jpeg" alt="Marks median household income diversity across racial categories">

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Marks.
• Median household income: Median household income, adjusting for inflation, presented 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/.

Recommended for further research

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

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Syracuse. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Syracuse, the median household income for the households where the householder is White increased by $5,036(10.22%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $49,277 in 2013 and $54,313 in 2023.
• Black or African American: In Syracuse, the median household income for the households where the householder is Black or African American increased by $4,574(15.12%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $30,259 in 2013 and $34,833 in 2023.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

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:

• 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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Syracuse.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-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/.

Recommended for further research

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

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Fortville. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Fortville, the median household income for the households where the householder is White increased by $26,073(46.90%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $55,593 in 2011 and $81,666 in 2021.
• Black or African American: As per the U.S. Census Bureau population data, in Fortville, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/fortville-in-median-household-income-by-race-trends.jpeg" alt="Fortville, IN median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Fortville.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented 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/.

Recommended for further research

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

Modified versions of the NSAL weights were created for use in analyses involving variables from the NSAL re-interview. These weights were created by multiplying the original NSAL weights by an additional factor adjusting for nonresponse in the self-administered mail questionnaire. A logistic regression to predict likelihood of mail survey response was conducted using all 6,082 NSAL respondents. Predictors in the final model included race; sex; education; work status; age; home ownership; foreign-born versus US-born; whether the respondents' main NSAL interview took place after September 11, 2001; participation in the NSAL Clinical Reappraisal interview; count of chronic health conditions; length of main NSAL interview; respondent prayer and religiosity; respondents' assessment of his/her weight; financial hardship, respondents' birth order; welfare receipt; respondent impatience during the main NSAL interview; and respondent suspicion about main NSAL interview. Several interactions were also included in the model. Predicted probabilities of responding to the mail survey were calculated and, for respondents, the inverse of this probability was multiplied by the original NSAL weight, and then divided by the mean of these new weights. All mail survey nonrespondents received a weight of zero on the mail survey weights. Mail survey weights should be used for all analyses where any variables from the mail survey are included, regardless of their status as independent variables or dependent variables. The NSAL SAQ is a subset of the NSAL. All NSAL adult respondents had an opportunity to complete a supplemental self-administered mail survey (NSAL SAQ) following their NSAL interview. The SAQ 40-page questionnaire contains key questions initially included in the NSAL that were removed from the initial interview in order to reduce respondent burden. The respondent was asked if they wanted to participate in a mailback survey. If they agreed, the questionnaire was sent by mail and once received, an incentive payment was sent. The overall response rate was 56.5 percent (n = 3,438); the response rate was 59.9 percent for African Americans (n = 2,137), 42.9 percent for Caribbean Blacks (n = 695), and 68.0 percent for Whites (n = 606). Overall, the demographic distributions of re-interview respondents did not differ greatly from those of the main NSAL sample. The largest differences were among response rates for the different race groups. Being female, being unemployed, having higher levels of education, and participating in the original NSAL interview post-September 11, 2001, were also associated with higher response rates on the mailback survey relative to other NSAL respondents. The mailback survey weights take these differences into account. Smallest Geographic Unit: census-tract; county The National Survey of American Life, 2001-2003 (NSAL) was followed up by a self-administered interview (NSAL SAQ) as a way to reduce respondent burden following the 2 1/2 hour NSAL survey. The SAQ includes additional questions about social, group, and individual characteristics: psychological resources (i.e., John Henryism), group and personal identity (racial awareness and identity), as well as ideology and racial relations (i.e., social dominance; stratification beliefs; egalitarianism; national pride; work ethic; authoritarian, interracial contact; and exposure to Black social contexts); political attitudes (i.e., Race-conscious Policy Index, Race-blind Policy Index, Non-Electoral Participation Index); care of elderly values; job and financial stressors; and wealth. Demographic variables include age, race, and sex. Response Rates: Of the 6,082 NSAL respondents, 3,438 completed the RIW. The overall response rate was 56.5 percent. Response rates differed for each race group: 68 percent of Whites and 60 percent of African Americans responded compared to 43 percent for Caribbean Blacks. mail questionnaireThe variable CPESCASE may be used to merge these data with the NSAL data.For more information on applying for restricted data please go to the Applying for Restricted Data page on the ICPSR Web site. Datasets: DS1: National Survey of American Life Self-Administered Questionnaire (NSAL-SAQ), February 2001-June 2003 Complex survey data sample that has a random component to it. Presence of Common Scales: CES-D

Initially taken in 1838 to demonstrate the stability and significance of the African American community and to forestall the abrogation of African American voting rights, the Quaker and Abolitionist census of African Americans was continued in 1847 and 1856 and present an invaluable view of the mid-nineteenth century African American population of Philadelphia. Although these censuses list only household heads, providing aggregate information for other household members, and exclude the substantial number of African Americans living in white households, they provide data not found in the federal population schedules. When combined with the information on African Americans taken from the four federal censuses, they offer researchers a richly detailed view of Philadelphia's African American community spanning some forty years. The three censuses are not of equal inclusiveness or quality, however. The 1838 and 1847 enumerations cover only the "old" City of Philadelphia (river-to-river and from Vine to South Streets) and the immediate surrounding districts (Spring Garden, Northern Liberties, Southwark, Moyamensing, Kensington--1838, West Philadelphia--1847); the 1856 survey includes African Americans living throughout the newly enlarged city which, as today, conforms to the boundaries of Philadelphia County. In spite of this deficiency in areal coverage, the earlier censuses are superior historical documents. The 1838 and 1847 censuses contain data on a wide range of social and demographic variables describing the household indicating address, household size, occupation, whether members were born in Pennsylvania, status-at-birth, debts, taxes, number of children attending school, names of beneficial societies and churches (1838), property brought to Philadelphia from other states (1838), sex composition (1847), age structure (1847), literacy (1847), size of rooms and number of people per room (1847), and miscellaneous remarks (1847). While the 1856 census includes the household address and reports literacy, occupation, status-at-birth, and occasional passing remarks about individual households and their occupants, it excludes the other informational categories. Moreover, unlike the other two surveys, it lists the occupations of only higher status African Americans, excluding unskilled and semiskilled designations, and records the status-at-birth of adults only. Indeed, it even fails to provide data permitting the calculation of the size and age and sex structure of households. Variables for each household head and his household include (differ slightly by census year): name, sex, status-at-birth, occupation, wages, real and personal property, literacy, education, religion, membership in beneficial societies and temperance societies, taxes, rents, dwelling size, address, slave or free birth.

Graph and download economic data for Homeownership Rates by Race and Ethnicity: Black Alone in the United States (BOAAAHORUSQ156N) from Q1 1994 to Q1 2025 about homeownership, African-American, rate, and USA.