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.

About this dataset

Context

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

Key observations

With a zero Hispanic population, Twin is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 346 (94.54% of the total Non-Hispanic population).

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

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.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Twin Valley, the largest racial group is White alone with a population of 627 (89.32% of the total Non-Hispanic population).

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

About this dataset

Context

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

Key observations

With a zero Hispanic population, Twin Lakes township is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 2,083 (95.11% of the total Non-Hispanic population).

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

In the U.S., the share of the population living in poverty fluctuated significantly throughout the six decades between 1987 and 2023. In 2023, the poverty level across all races and ethnicities was 11.1 percent. Black Americans have been the ethnic group with the highest share of their population living in poverty almost every year since 1974. In 1979 alone, Black poverty was well over double the national average, and over four times the poverty rate in white communities; in 1982, almost 48 percent of the Black population lived in poverty. Although poverty rates have been trending downward across all ethnic groups, 17.8 percent of Black Americans and 18.9 percent of American Indian and Alaskan Natives still lived below the poverty line in 2022.

In 2023, about 26.9 percent of Asian private households in the U.S. had an annual income of 200,000 U.S. dollars and more. Comparatively, around 13.9 percent of Black households had an annual income under 15,000 U.S. dollars.

Monthly COVID-19 death rates per 100,000 population stratified by age group, race/ethnicity, sex, and region, with race/ethnicity by age group and age group by race/ethnicity double stratification

About this dataset

Context

The dataset tabulates the population of Twin Valley by race. It includes the population of Twin Valley across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Twin Valley across relevant racial categories.

Key observations

The percent distribution of Twin Valley population by race (across all racial categories recognized by the U.S. Census Bureau): 86.48% are white, 2.76% are Black or African American, 4.55% are American Indian and Alaska Native, 0.69% are Asian, 2.21% are some other race and 3.31% are multiracial.

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

In the U.S., median household income rose from 51,570 U.S. dollars in 1967 to 80,610 dollars in 2023. In terms of broad ethnic groups, Black Americans have consistently had the lowest median income in the given years, while Asian Americans have the highest; median income in Asian American households has typically been around double that of Black Americans.

In 2023, the FBI reported that there were 9,284 Black murder victims in the United States and 7,289 white murder victims. In comparison, there were 554 murder victims of unknown race and 586 victims of another race. Victims of inequality? In recent years, the role of racial inequality in violent crimes such as robberies, assaults, and homicides has gained public attention. In particular, the issue of police brutality has led to increasing attention following the murder of George Floyd, an African American who was killed by a Minneapolis police officer. Studies show that the rate of fatal police shootings for Black Americans was more than double the rate reported of other races. Crime reporting National crime data in the United States is based off the Federal Bureau of Investigation’s new crime reporting system, which requires law enforcement agencies to self-report their data in detail. Due to the recent implementation of this system, less crime data has been reported, with some states such as Delaware and Pennsylvania declining to report any data to the FBI at all in the last few years, suggesting that the Bureau's data may not fully reflect accurate information on crime in the United States.

The rates of emergency department (ED) visits in the United States varied greatly per race and ethnicity. In 2022, ED visit rates were highest among non-Hispanic Black people at 91 visits per 100 people, which is double that compared to 45 visits per 100 among non-Hispanic White persons.

About this dataset

Context

The dataset tabulates the population of Twin Oaks by race. It includes the population of Twin Oaks across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Twin Oaks across relevant racial categories.

Key observations

The percent distribution of Twin Oaks population by race (across all racial categories recognized by the U.S. Census Bureau): 88.76% are white, 3.50% are Black or African American, 4.82% are Asian and 2.92% are multiracial.

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

In the United States, more than half of the population reported owning a pet in 2011. This number has been quite steady since then. Today there are more than 90 million cats in the United States, while the number of dogs is just below the 90 million-mark. Freshwater fish are the most common pet with almost 140 million nationwide in 2018, followed by the aforementioned cats and dogs.   Pet expenses    When it comes to expenses, fish are generally considered low maintenance compared to other pets. Dogs especially require high expense, particularly for kennel boarding while their owners are away. However, the highest costs for dog owners are due to surgical vet visits, reported at almost double the expense for cats in 2019. Lower life expectancy could be a factor - around 11 years for a medium-sized dog, compared with 12 to 15 years for cats.  
  Pet food  

Food is currently the largest expense for cat owners, and the second highest for dogs, not even including treats. Despite the convenience of buying pet food online, or while already grocery shopping in a supermarket, food store, or wholesale club, the highest share of pet food sales comes from pet specialty chains. With many owners are willing to make the extra trip for their pets, chain shops Pet Smart and PetCo make up almost half the market for pet companies in the United States.

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.

In 2023, the gross median household income for Asian households in the United States stood at 112,800 U.S. dollars. Median household income in the United States, of all racial and ethnic groups, came out to 80,610 U.S. dollars in 2023. Asian and Caucasian (white not Hispanic) households had relatively high median incomes, while the median income of Hispanic, Black, American Indian, and Alaskan Native households all came in lower than the national median. A number of related statistics illustrate further the current state of racial inequality in the United States. Unemployment is highest among Black or African American individuals in the U.S. with 8.6 percent unemployed, according to the Bureau of Labor Statistics in 2021. Hispanic individuals (of any race) were most likely to go without health insurance as of 2021, with 22.8 percent uninsured.

In 2022, employed people in the white ‘other’ and Indian ethnic groups (both 82%) were the most likely to work full time out of all ethnic groups.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in Twin Falls County, the largest racial group is White alone with a population of 70,169 (92.36% of the total Non-Hispanic population).

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

Good to know

Margin of Error

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

Custom data

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

Inspiration

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

Recommended for further research

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

Approximately 34 percent of civilians killed by police in São Paulo, Brazil, in 2023 were of white ethnicity, while the proportion of black people among the total number of deaths during police interventions was more than double. In the state of São Paulo, the black population made up 41 percent of the total, revealing a huge discrepancy between the share of black population and the share of black victims of police intervention.

Brazil and the United States are the two most populous countries in the Americas today. In 1500, the year that Pedro Álvares Cabral made landfall in present-day Brazil and claimed it for the Portuguese crown, it is estimated that there were roughly one million people living in the region. Some estimates for the present-day United States give a population of two million in the year 1500, although estimates vary greatly. By 1820, the population of the U.S. was still roughly double that of Brazil, but rapid growth in the 19th century would see it grow 4.5 times larger by 1890, before the difference shrunk during the 20th century. In 2024, the U.S. has a population over 340 million people, making it the third most populous country in the world, while Brazil has a population of almost 218 million and is the sixth most populous. Looking to the future, population growth is expected to be lower in Brazil than in the U.S. in the coming decades, as Brazil's fertility rates are already lower, and migration rates into the United States will be much higher. Historical development The indigenous peoples of present-day Brazil and the U.S. were highly susceptible to diseases brought from the Old World; combined with mass displacement and violence, their population growth rates were generally low, therefore migration from Europe and the import of enslaved Africans drove population growth in both regions. In absolute numbers, more Europeans migrated to North America than Brazil, whereas more slaves were transported to Brazil than the U.S., but European migration to Brazil increased significantly in the early 1900s. The U.S. also underwent its demographic transition much earlier than in Brazil, therefore its peak period of population growth was almost a century earlier than Brazil. Impact of ethnicity The demographics of these countries are often compared, not only because of their size, location, and historical development, but also due to the role played by ethnicity. In the mid-1800s, these countries had the largest slave societies in the world, but a major difference between the two was the attitude towards interracial procreation. In Brazil, relationships between people of different ethnic groups were more common and less stigmatized than in the U.S., where anti-miscegenation laws prohibited interracial relationships in many states until the 1960s. Racial classification was also more rigid in the U.S., and those of mixed ethnicity were usually classified by their non-white background. In contrast, as Brazil has a higher degree of mixing between those of ethnic African, American, and European heritage, classification is less obvious, and factors such as physical appearance or societal background were often used to determine racial standing. For most of the 20th century, Brazil's government promoted the idea that race was a non-issue and that Brazil was racially harmonious, but most now acknowledge that this actually ignored inequality and hindered progress. Racial inequality has been a prevalent problem in both countries since their founding, and today, whites generally fare better in terms of education, income, political representation, and even life expectancy. Despite this adversity, significant progress has been made in recent decades, as public awareness of inequality has increased, and authorities in both countries have made steps to tackle disparities in areas such as education, housing, and employment.