In 2024, around 50 children were born per 1,000 white women in the United States. This birth rate was the same among the Black female population. The highest birth rate among various race and ethnic groups in the U.S. was recorded among Native Hawaiian and Pacific Islander mothers, at 58 births per 1,000.

United States Birth Rate: White data was reported at 9.300 % in 2023. This records a decrease from the previous number of 9.500 % for 2022. United States Birth Rate: White data is updated yearly, averaging 13.700 % from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 15.800 % in 1990 and a record low of 9.300 % in 2023. United States Birth Rate: White data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G008: Birth Rate.

Native Hawaiian and Pacific Islander women had the highest fertility rate of any ethnicity in the United States in 2022, with about 2,237.5 births per 1,000 women. The fertility rate for all ethnicities in the U.S. was 1,656.5 births per 1,000 women. What is the total fertility rate? The total fertility rate is an estimation of the number of children who would theoretically be born per 1,000 women through their childbearing years (generally considered to be between the ages of 15 and 44) according to age-specific fertility rates. The fertility rate is different from the birth rate, in that the birth rate is the number of births in relation to the population over a specific period of time. Fertility rates around the world Fertility rates around the world differ on a country-by-country basis, and more industrialized countries tend to see lower fertility rates. For example, Niger topped the list of the countries with the highest fertility rates, and Taiwan had the lowest fertility rate.

United States Total Fertility Rate: White data was reported at 1,532.500 % in 2023. This records a decrease from the previous number of 1,568.000 % for 2022. United States Total Fertility Rate: White data is updated yearly, averaging 1,947.500 % from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 2,137.000 % in 2007 and a record low of 21.000 % in 2009. United States Total Fertility Rate: White data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G013: Fertility Rate.

This paper documents a set of facts about the dramatic decline in birth rates in the United States between 2007 and 2020 and explores possible explanations for it. The overall reduction in the birth rate reflects both very large declines within certain groups of women, including teens and Hispanic women – and smaller declines among demographic groups that comprise a large population share, including college-educated white women. We explore potential economic, policy, and social factors that might be responsible for the overall decline. We conclude from our empirical examination of possible factors that there is not a readily identifiable economic or policy factor or set of factors this is likely responsible for a substantial share of the decline. Instead, the patterns observed suggest that widespread, hard to quantify changes in preferences for having children, aspirations for life, and the nature of parenting are more likely behind the recent decline in US births. We conclude with a brief discussion about the societal consequences for a declining birth rate and what the United States might do about it.

The fertility rate of a country is the average number of children that women from that country will have throughout their reproductive years. In the United States in 1800, the average woman of childbearing age would have seven children over the course of their lifetime. As factors such as technology, hygiene, medicine and education improved, women were having fewer children than before, reaching just two children per woman in 1940. This changed quite dramatically in the aftermath of the Second World War, rising sharply to over 3.5 children per woman in 1960 (children born between 1946 and 1964 are nowadays known as the 'Baby Boomer' generation, and they make up roughly twenty percent of todays US population). Due to the end of the baby boom and increased access to contraception, fertility reached it's lowest point in the US in 1980, where it was just 1.77. It did however rise to over two children per woman between 1995 and 2010, although it is expected to drop again by 2020, to just 1.78.

This dataset reconstructs U.S. fertility trends with state-level Total Fertility Rates (TFR) from 1931 to the present, calculated annually. Birth data by maternal age and race (white and non-white) were digitized from the “Vital Statistics of the United States.” TFR calculations use interpolated census data on women aged 14–49. The dataset highlights regional shifts in fertility during the Baby Boom, later declines, and recent fluctuations, influenced by socio-economic and cultural factors. It provides a valuable tool for researchers and policymakers analyzing fertility determinants and their broader implications.

United States Birth Rate: 35 to 39: White data was reported at 51.900 % in 2023. This records a decrease from the previous number of 53.000 % for 2022. United States Birth Rate: 35 to 39: White data is updated yearly, averaging 46.400 % from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 53.000 % in 2022 and a record low of 23.300 % in 1985. United States Birth Rate: 35 to 39: White data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G008: Birth Rate.

Infant mortality rates in the United States reveal significant disparities among racial and ethnic groups. In 2023, Black mothers faced the highest rate at nearly 11 deaths per 1,000 live births, more than double the rate for white mothers. This stark contrast persists despite overall improvements in healthcare and highlights the need for targeted interventions to address these inequalities. Birth rates and fertility trends While infant mortality rates vary, birth rates also differ across ethnicities. Native Hawaiian and Pacific Islander women had the highest fertility rate in 2022, with about 2,237.5 births per 1,000 women, far exceeding the national average of 1,656.5. In 2023, this group maintained the highest birth rate at 79 births per 1,000 women. Asian women, by contrast, had a much lower birth rate of around 50 per thousand women. These differences in fertility rates can impact overall population growth and demographic shifts within the United States. Hispanic birth trends and fertility decline The Hispanic population in the United States has experienced significant changes in birth trends over recent decades. In 2021, 885,916 babies were born to Hispanic mothers, with a birth rate of 14.1 per 1,000 of the Hispanic population. This represents a slight increase from the previous year. However, the fertility rate among Hispanic women has declined dramatically since 1990, dropping from 108 children per 1,000 women aged 15-44 to 63.4 in 2021. This decline aligns with broader trends of decreasing fertility rates in more industrialized nations.

United States Birth Rate: Teenager: White data was reported at 8.400 % in 2023. This records a decrease from the previous number of 9.100 % for 2022. United States Birth Rate: Teenager: White data is updated yearly, averaging 38.000 % from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 52.600 % in 1991 and a record low of 8.400 % in 2023. United States Birth Rate: Teenager: White data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G008: Birth Rate.

About this dataset

Context

The dataset tabulates the data for the White Bear Lake, MN population pyramid, which represents the White Bear Lake 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for White Bear Lake, MN, is 30.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for White Bear Lake, MN, is 35.5.
• Total dependency ratio for White Bear Lake, MN is 65.6.
• Potential support ratio, which is the number of youth (working age population) per elderly, for White Bear Lake, MN is 2.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the White Bear Lake population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the White Bear Lake for the selected age group is shown in the following column.
• Population (Female): The female population in the White Bear Lake for the selected age group is shown in the following column.
• Total Population: The total population of the White Bear Lake for the selected age group is shown in the following column.

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 White Bear Lake Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the White House, TN population pyramid, which represents the White House 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for White House, TN, is 31.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for White House, TN, is 19.2.
• Total dependency ratio for White House, TN is 50.7.
• Potential support ratio, which is the number of youth (working age population) per elderly, for White House, TN is 5.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the White House population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the White House for the selected age group is shown in the following column.
• Population (Female): The female population in the White House for the selected age group is shown in the following column.
• Total Population: The total population of the White House for the selected age group is shown in the following column.

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 White House Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the White Bluff, TN population pyramid, which represents the White Bluff 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for White Bluff, TN, is 18.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for White Bluff, TN, is 26.7.
• Total dependency ratio for White Bluff, TN is 45.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for White Bluff, TN is 3.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the White Bluff population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the White Bluff for the selected age group is shown in the following column.
• Population (Female): The female population in the White Bluff for the selected age group is shown in the following column.
• Total Population: The total population of the White Bluff for the selected age group is shown in the following column.

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 White Bluff Population by Age. You can refer the same here

In the United States, non-Hispanic Black women currently have higher rates of twin births than any other ethnicity or race with **** 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 **** 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 Michigan, Mississippi, and Connecticut. 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 **** births per 1,000 population, compared to **** 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.

United States Fertility Rate: 15 to 44 Yrs: White data was reported at 51.700 % in 2023. This records a decrease from the previous number of 53.100 % for 2022. United States Fertility Rate: 15 to 44 Yrs: White data is updated yearly, averaging 64.000 % from Dec 1985 (Median) to 2023, with 39 observations. The data reached an all-time high of 69.400 % in 2007 and a record low of 51.700 % in 2023. United States Fertility Rate: 15 to 44 Yrs: White data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G013: Fertility Rate.

About this dataset

Context

The dataset tabulates the data for the White Cloud, KS population pyramid, which represents the White Cloud 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for White Cloud, KS, is 23.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for White Cloud, KS, is 26.4.
• Total dependency ratio for White Cloud, KS is 49.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for White Cloud, KS is 3.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the White Cloud population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the White Cloud for the selected age group is shown in the following column.
• Population (Female): The female population in the White Cloud for the selected age group is shown in the following column.
• Total Population: The total population of the White Cloud for the selected age group is shown in the following column.

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 White Cloud Population by Age. You can refer the same here

In 1991, the birth rate for girls aged 10 to 14 years in the United States stood at 1.4 births per every thousand girls. Since 1991, this rate has consistently decreased, dropping to .2 in the year 2023. This statistic depicts the number of births per thousand U.S. females aged 10 to 14 years between 1991 and 2023. Teenage pregnancy and contraception Over the years, the rate of teenage pregnancy and birth has declined in the United States, most likely due to lower rates of sexual activity in this age group as well as increased use of birth control methods. However, the use and accessibility of contraceptives remains a problem in many parts of the United States. For example, in 2021, only 21 percent of sexually active high school students reported using the birth control pill to prevent pregnancy before their last sexual intercourse. This rate was highest among white high students and lowest among Black students, with only 11 percent reporting use of the birth control pill before their last intercourse. Condom use is more prevalent among high school students than use of the pill, but still only just over half of high school students reported using a condom the last time they had sex as of 2021. Disparities in teenage pregnancy Although rates have decreased over the past decades, teenage pregnancy and birth rates in the U.S. are still higher than in other Western countries. Geographic, racial, and ethnic disparities in teen birth rates are still prevalent within the country. In 2023, teenage birth rates were highest among Native Hawaiian and Pacific Islanders. Other contributing factors to high teen birth rates also include poor socioeconomic conditions, low education, and low-income status.

In an increasingly diverse United States (US) population, racial disparities in preterm birth outcomes continue to widen. In this study, we examined temporal trends and risk of preterm birth among Asian American women over a quarter century (1992–2018). This is a retrospective cohort study using the 1992–2018 Natality data files. We conducted joinpoint regression analyses to examine trends in preterm birth among Asian Americans and non-Hispanic (NH) Whites. Bivariate and multivariable analyses were used to identify risk factors associated with preterm birth among Asian Americans and their ethnic sub-groups as compared to NH-Whites. There were a total of 251,278 preterm births among Asian American women, corresponding to a rate of 10.0%, which was relatively stable over time. The incidence of extremely, very and moderate-to-late preterm birth among Asian Americans was 0.4%, 0.9% and 8.7% respectively. Overall, Asian American women exhibited lower adjusted odds (OR = 0.92; 95% CI: 0.88–0.97) of preterm birth than their NH-White counterparts. Comparing Asian American subgroups to NH-Whites, Filipinas and Vietnamese mothers had increased adjusted odds, whereas Chinese, Korean, Japanese and Asian Indian women showed decreased adjusted odds for preterm birth. The risk of preterm birth varied among the ethnic subgroups of Asian Americans in the United States. Future studies should explore the socio-cultural and environmental nuances that might explain these differences.

About this dataset

Context

The dataset tabulates the data for the White City, IL population pyramid, which represents the White City population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for White City, IL, is 11.0.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for White City, IL, is 29.9.
• Total dependency ratio for White City, IL is 40.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for White City, IL is 3.3.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the White City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the White City for the selected age group is shown in the following column.
• Population (Female): The female population in the White City for the selected age group is shown in the following column.
• Total Population: The total population of the White City for the selected age group is shown in the following column.

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 White City Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the data for the White Haven, PA population pyramid, which represents the White Haven 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for White Haven, PA, is 39.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for White Haven, PA, is 36.1.
• Total dependency ratio for White Haven, PA is 75.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for White Haven, PA is 2.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the White Haven population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the White Haven for the selected age group is shown in the following column.
• Population (Female): The female population in the White Haven for the selected age group is shown in the following column.
• Total Population: The total population of the White Haven for the selected age group is shown in the following column.

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 White Haven Population by Age. You can refer the same here