In 2023, about 25.4 percent of Alabama residents were Black or African American. A further 64.7 percent of the population were white, and 5.6 percent of residents were of two or more races in that year.
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This list ranks the 460 Cities in the Alabama by Non-Hispanic Black or African American population, as estimated by the United States Census Bureau. It also highlights population changes in each Cities over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
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/.
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The dataset tabulates the population of Alabama by race. It includes the population of Alabama across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Alabama across relevant racial categories.
Key observations
The percent distribution of Alabama population by race (across all racial categories recognized by the U.S. Census Bureau): 65.36% are white, 26.09% are Black or African American, 0.44% are American Indian and Alaska Native, 1.42% are Asian, 0.05% are Native Hawaiian and other Pacific Islander, 2.12% are some other race and 4.51% are multiracial.
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 Alabama Population by Race & Ethnicity. You can refer the same here
1.313.291 (number) in 2019. According to U.S. Office of Management and Budget (OMB), “Black or African American” refers to a person having origins in any of the Black racial groups of Africa. The Black racial category includes people who marked the “Black, African Am., or Negro” checkbox. It also includes respondents who reported entries such as African American; Sub-Saharan African entries, such as Kenyan and Nigerian; and Afro-Caribbean entries, such as Haitian and Jamaica.
This statistic shows the share of the United States prison population that was Black in 2014, by state and the length of time inmates have served. In 2014, 58.7 percent of the prison population in Alabama was Black. For those inmates who had served 10 years or more, that figure rose to 67 percent.
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The dataset tabulates the Black population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Black. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 to 64 years with a poulation of 214 (46.32% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age cohorts:
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 Black Population by Age. You can refer the same here
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The dataset tabulates the data for the Black, AL population pyramid, which represents the Black population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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 Black Population by Age. You can refer the same here
In 2023, around 36 percent of white adults in Alabama were obese. Obesity can increase risk of developing many chronic diseases such as cardiovascular disease and diabetes. This statistic depicts the obesity rates for adults in Alabama in 2023, by race/ethnicity.
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The dataset tabulates the Non-Hispanic population of Alabama by race. It includes the distribution of the Non-Hispanic population of Alabama across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Alabama across relevant racial categories.
Key observations
Of the Non-Hispanic population in Alabama, the largest racial group is White alone with a population of 3.23 million (67.45% 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 Alabama Population by Race & Ethnicity. You can refer the same here
In 2022, around 20 percent of all reported legal abortions in Alabama were performed on Hispanic women. This statistic depicts the distribution of reported legal abortions in Alabama in 2022, by the race/ethnicity of the women who obtained abortions.
Lynching in the United States is estimated to have claimed over 4.7 thousand lives between 1882 and 1968, and just under 3.5 thousand of these victims were black. Today, lynching is more commonly associated with racial oppression, particularly in the south, however, in early years, victims were more commonly white (specifically Mexican), and lynchings were more frequent in western territories and along the southern border. It was only after Reconstruction's end where the lynching of black people became more prevalent, and was arguably the most violent tool of oppression used by white supremacists. Nationwide, the share of the population who was black fluctuated between 10 and 13 percent in the years shown here, however the share of lynching victims who were black was almost 73 percent. North-south divide Of the 4.7 thousand victims of lynching between 1882 and 1968, over 3.5 thousand of these were killed in former-Confederate states. Of the fourteen states where the highest number of lynching victims were killed, eleven were former-Confederate states, and all saw the deaths of at least one hundred people due to lynching. Mississippi was the state where most people were lynched in these years, with an estimated 581 victims, 93 percent of whom were black. Georgia saw the second most lynchings, with 531 in total, and the share of black victims was also 93 percent. Compared to the nationwide average of 73 percent, the share of black victims in former-Confederate states was 86 percent. Texas was the only former-Confederate state where this share (71 percent) was below the national average, due to the large number of Mexicans who were lynched there. Outside of the south Of the non-Confederate state with the highest number of lynching victims, most either bordered the former-Confederate states, or were to the west. Generally speaking, the share of white victims in these states was often higher than in the south, meaning that the majority took place in the earlier years represented here; something often attributed to the lack of an established judiciary system in rural regions, and the demand for a speedy resolution. However, there are many reports of black people being lynched in the former border states in the early-20th century, as they made their way northward during the Great Migration. Between 1882 and 1968, lynchings were rare in the Northeast, although Connecticut, Massachusetts, New Hampshire and Rhode Island were the only states** without any recorded lynchings in these years.
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The dataset tabulates the Non-Hispanic population of Limestone County by race. It includes the distribution of the Non-Hispanic population of Limestone County across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Limestone County across relevant racial categories.
Key observations
Of the Non-Hispanic population in Limestone County, the largest racial group is White alone with a population of 79,087 (79.25% 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 Limestone County Population by Race & Ethnicity. You can refer the same here
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Birmingham, Alabama Poverty Rate Statistics for 2023. Analyze over 60 metrics of the Birmingham, Alabama poverty database including by age, education, race, gender, work experience and more. In Birmingham, Alabama, an estimated 49,921 of 191,322 people live in poverty, which is 26.1%. Compared to the national average of 12.6%, the poverty rate in Birmingham is 107.14% higher.
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The dataset tabulates the Non-Hispanic population of Goshen by race. It includes the distribution of the Non-Hispanic population of Goshen across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Goshen across relevant racial categories.
Key observations
Of the Non-Hispanic population in Goshen, the largest racial group is White alone with a population of 239 (64.42% 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 Goshen Population by Race & Ethnicity. You can refer the same here
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Graph and download economic data for Homeownership Rate (5-year estimate) for Montgomery County, AL (HOWNRATEACS001101) from 2009 to 2023 about Montgomery County, AL; Montgomery; homeownership; AL; housing; 5-year; rate; and USA.
In the United States, non-Hispanic Black women currently have higher rates of twin births than any other ethnicity or race with 41.4 per 1,000 live births being twins. There are two types of twins, identical and fraternal. Identical twins form when one fertilized egg splits and develops two babies, while fraternal twins form from two eggs that are fertilized by two sperm. Fraternal twins, although born at the same time, are no more alike than siblings born at different times. Twin births in the United States The birth rate for twins in the United States has increased over the past few decades, with around 30.7 twin births per 1,000 live births in 2023. Factors that increase the odds of having a twin birth include race, genetics, the number of previous pregnancies, assisted reproductive techniques, and the age of the mother. Those aged 45 to 54 years have a significantly higher twin birth rate than younger women in the United States. The states with the highest average twin birth rates include Alabama, Michigan, and Iowa. Birth rates in the United States As is the case in many other developed countries, the birth rate in the United States has steadily decreased. In 2023, there were just 10.7 births per 1,000 population, compared to 16.7 births per 1,000 population in the year 1990. Unsurprisingly, the birth rate is highest among women aged 20 to 34 years, however women are increasingly having birth later in life.
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The dataset tabulates the population of Limestone County by race. It includes the population of Limestone County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Limestone County across relevant racial categories.
Key observations
The percent distribution of Limestone County population by race (across all racial categories recognized by the U.S. Census Bureau): 75.31% are white, 12.75% are Black or African American, 1.04% are American Indian and Alaska Native, 1.83% are Asian, 0.09% are Native Hawaiian and other Pacific Islander, 2.68% are some other race and 6.30% are multiracial.
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 Limestone County Population by Race & Ethnicity. You can refer the same here
The Consumer Expenditure (CE) program provides a continuous and comprehensive flow of the data on the buying habits of American consumers. These data are used widely in economic research and analysis, and in support of the revision of the Consumer Price Index. To meet the needs of users, The Bureau of Labor Statistics produces population estimates (for consumer units or Cu's) of average expenditure in new releases, reports and articles in the Monthly Labour review. Tabulated CE data are also available on the internet and by facsimile transmission. These microdata files present detailed expenditure and income data for the Diary component of the CE for 2004. They include weekly expenditure (EXPD), annual income (DTBD) files, and imputed income files (DTBD_IMPUTED1). The data in EXPD, DTBD, and DTBD_IMPUTED files are categorized by a Universal Classification Code (UCC). The advantage of the EXPD and DTBD files is that with the data classified in a standardized format, the user may perform comparative expenditure (income) analysis with relative ease. The FMLD and MEMD files present data on the characteristics and demographics of CUs and CU Members. The summary level expenditure and income information on the FMLD files permits the data user to link consumer spending, by general expenditure category, and household characteristics and demographics on one set of files. Estimates of average expenditures in 2004 from the Diary survey, integrated with data from the Interview survey, are published in Consumer Expenditures in 2004 (Due in 2006).A list of recent publications containing data from the CE appears at the end of this documentation. The microdata files are in the public domain and, with appropriate credit, may be reproduced without permission. A suggested citation is: “U.S. Department of Labor, Bureau of Labor Statistics, Consumer Expenditure Survey, Diary Survey, 2004”.
State Identifier Since the CE is not designed to produce state-level estimates, summing the consumer unit weights by state will not yield state population totals. A CU's basic weight reflects its probability of selection among a group of primary sampling units of similar characteristics. For example, sample units in an urban nonmetropolitan area in California may represent similar areas in Wyoming and Nevada. Among other adjustments, CUs are post-stratified nationally by sex-age-race. For example, the weights of consumer units containing a black male, age 16-24 in Alabama, Colorado, or New York, are all adjusted equivalently. Therefore, weighted population state totals will not match population totals calculated from other surveys that are designed to represent state data. To summarize, the CE sample was not designed to produce precise estimates for individual states. Although state-level estimates that are unbiased in a repeated sampling sense can be calculated for various statistical measures, such as means and aggregates, their estimates will generally be subject to large variances. Additionally, a particular state-population estimate from the CE sample may be far from the true state-population estimate.
Interpreting the data
Several factors should be considered when interpreting the expenditure data. The average expenditure for an item may be considerably lower than the expenditure by those CUs that purchased the item. The less frequently an item is purchased, the greater the difference between the average for all consumer units and the average of those purchasing. (See Section V.B. for ESTIMATION OF TOTAL AND MEAN EXPENDITURES). Also, an individual CU may spend more or less than the average, depending on its particular characteristics. Factors such as income, age of family Members, geographic location, taste and personal preference also influence expenditures. Furthermore, even within groups with similar characteristics, the distribution of expenditures varies substantially.
Expenditures reported are the direct out-of-pocket expenditures. Indirect expenditures, which may be significant, may be reflected elsewhere. For example, rental contracts often include utilities. Renters with such contracts would record no direct expense for utilities, and therefore, appear to have no utility expenses. Employers or insurance companies frequently pay other costs.CUs with Members whose employers pay for all or part of their health insurance or life insurance would have lower direct expenses for these items than those who pay the entire amount themselves. These points should be considered when relating reported averages to individual circumstances.
The Diary survey PUMD are organized into five major data files for each quarter:
1. FMLD - a file with characteristics, income, and summary level expenditures for the household
2. MEMD - a file with characteristics and income for each member in the household
3. EXPD - a detailed weekly expenditure file categorized by UCC
4. DTBD - a detailed annual income file categorized by UCC
5. DTID - a household imputed income file categorized by UCC
Consumer unit
Sample survey data [ssd]
Computer Assisted Personal Interview [capi]
Since 1980, the U.S. birth rate for twins has risen significantly. As of 2022, the birth rate for twins in the U.S. was 31.2 per 1,000 live births. It is believed that an increase in the twin birth rate may be associated with an increased use of in vitro fertilization and other assisted reproductive technologies in recent years.
U.S. twin births Across the U.S. twin birth rates vary in many ways. The U.S. states with the highest twin birth rates are Alabama and Michigan. Ethnicity is another factor to be considered when investigating the twin birth rate. Since 1980, the U.S. twin birth rate has increased among all ethnicities; however, it has increased more among non-Hispanic black mothers and less among Hispanic mothers. And finally, age is another important factor in twin birth rates. As of 2022, mothers between the ages of 45-54 had the highest twin birth rates in the United States.
Assisted reproductive technology Assisted reproductive technology (ART) is a treatment used to treat infertility among men and women. A common complication associated with ART is multiple births (twins, triplets, etc.). In the U.S., among all ART pregnancies, the most common outcome was a still single infant birth, followed by miscarriage. However multiple births accounted for nearly five percent of all outcomes. This percentage would increase if multiple birth rate per live birth was considered. ART is also most common among older mothers.
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Context
The dataset tabulates the Non-Hispanic population of Huntsville by race. It includes the distribution of the Non-Hispanic population of Huntsville across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Huntsville across relevant racial categories.
Key observations
Of the Non-Hispanic population in Huntsville, the largest racial group is White alone with a population of 122,705 (60.99% 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 Huntsville Population by Race & Ethnicity. You can refer the same here
In 2023, about 25.4 percent of Alabama residents were Black or African American. A further 64.7 percent of the population were white, and 5.6 percent of residents were of two or more races in that year.