View yearly updates and historical trends for Mississippi Establishment Birth Rate. Source: Census Bureau. Track economic data with YCharts analytics.

In 2023, the state of Mississippi had the highest infant mortality rate in the United States, with around 8.94 deaths per 1,000 live births. Infant mortality is the death of an infant before the age of one. The countries with the lowest infant mortality rates worldwide are Slovenia, Singapore, and Iceland. The countries with the highest infant mortality rates include Afghanistan, Somalia, and the Central African Republic. Infant mortality in the United States The infant mortality rate in the United States has decreased over the past few decades, reaching a low of 5.4 deaths per 1,000 live births in 2022. The most common causes of infant death in the United States are congenital malformations, low birth weight, and sudden infant death syndrome. In 2023, congenital malformations accounted for around 111 infant deaths per 100,000 live births.

About this dataset

Context

The dataset tabulates the population of Mississippi by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Mississippi. The dataset can be utilized to understand the population distribution of Mississippi by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Mississippi. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Mississippi.

Key observations

Largest age group (population): Male # 10-14 years (110,455) | Female # 15-19 years (103,255). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Mississippi population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Mississippi is shown in the following column.
• Population (Female): The female population in the Mississippi is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Mississippi for each age group.

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 Mississippi Population by Gender. You can refer the same here

Since 1980, the U.S. birth rate for twins has risen significantly. As of 2023, the birth rate for twins in the U.S. was 30.7 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 Michigan and Mississippi. 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 2023, 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.

The leading causes of infant death in the United States are congenital malformations, low birth weight, and sudden infant death syndrome. In 2023, congenital malformations accounted for around 20 percent of all infant deaths in the United States. Infant mortality in the United States Infant mortality refers to the death of a child under the age of one. In the United States, there were around 20,577 infant deaths in 2022. However, the infant mortality rate in the United States has decreased steadily over the past few decades. In 1990, the infant mortality rate was 9.4 per 1,000 live births, but had dropped to around 5.4 per 1,000 live births by 2022. Rates of infant mortality do vary depending on the state and region. For example, the infant mortality rate in Mississippi in 2022 was 9.11 per 1,000 live births, compared to a rate of just 3.32 per 1,000 live births in Massachusetts. What is sudden infant death syndrome (SIDS)? Sudden infant death syndrome (SIDS) is the third leading cause of infant death in the United States with a rate of around 40 deaths per 100,000 live births. SIDS is the unexplained death of an infant. In such cases, the baby usually seems to be healthy but suddenly dies, often during sleep. The cause of SIDS is unknown, but may be connected to problems in the brain controlling breathing and waking from sleep. In 2022, there were an estimated 1,531 deaths from SIDS in the United States. Mississippi and Arkansas are the states with the highest rates of sudden unexpected infant death, while Massachusetts and California have the lowest rates.

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.

About this dataset

Context

The dataset tabulates the population of Neshoba County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Neshoba County. The dataset can be utilized to understand the population distribution of Neshoba County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Neshoba County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Neshoba County.

Key observations

Largest age group (population): Male # 10-14 years (1,258) | Female # 65-69 years (1,199). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Neshoba County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Neshoba County is shown in the following column.
• Population (Female): The female population in the Neshoba County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Neshoba County for each age group.

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 Neshoba County Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Pearl River County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Pearl River County. The dataset can be utilized to understand the population distribution of Pearl River County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Pearl River County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Pearl River County.

Key observations

Largest age group (population): Male # 60-64 years (2,186) | Female # 10-14 years (2,218). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Pearl River County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Pearl River County is shown in the following column.
• Population (Female): The female population in the Pearl River County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Pearl River County for each age group.

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 Pearl River County Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Tallahatchie County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Tallahatchie County. The dataset can be utilized to understand the population distribution of Tallahatchie County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Tallahatchie County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Tallahatchie County.

Key observations

Largest age group (population): Male # 35-39 years (1,015) | Female # 60-64 years (424). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Tallahatchie County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Tallahatchie County is shown in the following column.
• Population (Female): The female population in the Tallahatchie County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Tallahatchie County for each age group.

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 Tallahatchie County Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Lake by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Lake. The dataset can be utilized to understand the population distribution of Lake by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Lake. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Lake.

Key observations

Largest age group (population): Male # 15-19 years (34) | Female # 60-64 years (36). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Lake population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Lake is shown in the following column.
• Population (Female): The female population in the Lake is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Lake for each age group.

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 Lake Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Walnut Grove by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Walnut Grove. The dataset can be utilized to understand the population distribution of Walnut Grove by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Walnut Grove. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Walnut Grove.

Key observations

Largest age group (population): Male # 10-14 years (72) | Female # 5-9 years (131). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Walnut Grove population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Walnut Grove is shown in the following column.
• Population (Female): The female population in the Walnut Grove is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Walnut Grove for each age group.

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 Walnut Grove Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Lauderdale County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Lauderdale County. The dataset can be utilized to understand the population distribution of Lauderdale County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Lauderdale County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Lauderdale County.

Key observations

Largest age group (population): Male # 10-14 years (2,895) | Female # 5-9 years (2,726). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Lauderdale County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Lauderdale County is shown in the following column.
• Population (Female): The female population in the Lauderdale County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Lauderdale County for each age group.

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 Lauderdale County Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Holly Springs by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Holly Springs. The dataset can be utilized to understand the population distribution of Holly Springs by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Holly Springs. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Holly Springs.

Key observations

Largest age group (population): Male # 25-29 years (379) | Female # 40-44 years (452). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Holly Springs population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Holly Springs is shown in the following column.
• Population (Female): The female population in the Holly Springs is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Holly Springs for each age group.

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 Holly Springs Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Lamar County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Lamar County. The dataset can be utilized to understand the population distribution of Lamar County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Lamar County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Lamar County.

Key observations

Largest age group (population): Male # 5-9 years (2,379) | Female # 40-44 years (2,839). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Lamar County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Lamar County is shown in the following column.
• Population (Female): The female population in the Lamar County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Lamar County for each age group.

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 Lamar County Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Tunica County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Tunica County. The dataset can be utilized to understand the population distribution of Tunica County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Tunica County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Tunica County.

Key observations

Largest age group (population): Male # 0-4 years (525) | Female # 25-29 years (504). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Tunica County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Tunica County is shown in the following column.
• Population (Female): The female population in the Tunica County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Tunica County for each age group.

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 Tunica County Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Taylor by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Taylor. The dataset can be utilized to understand the population distribution of Taylor by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Taylor. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Taylor.

Key observations

Largest age group (population): Male # 35-39 years (23) | Female # 30-34 years (19). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Taylor population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Taylor is shown in the following column.
• Population (Female): The female population in the Taylor is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Taylor for each age group.

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 Taylor Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Tate County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Tate County. The dataset can be utilized to understand the population distribution of Tate County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Tate County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Tate County.

Key observations

Largest age group (population): Male # 15-19 years (1,546) | Female # 15-19 years (1,404). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Tate County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Tate County is shown in the following column.
• Population (Female): The female population in the Tate County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Tate County for each age group.

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 Tate County Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Union County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Union County. The dataset can be utilized to understand the population distribution of Union County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Union County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Union County.

Key observations

Largest age group (population): Male # 5-9 years (1,241) | Female # 10-14 years (1,087). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Union County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Union County is shown in the following column.
• Population (Female): The female population in the Union County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Union County for each age group.

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 Union County Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Horn Lake by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Horn Lake. The dataset can be utilized to understand the population distribution of Horn Lake by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Horn Lake. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Horn Lake.

Key observations

Largest age group (population): Male # 15-19 years (1,432) | Female # 40-44 years (1,145). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Horn Lake population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Horn Lake is shown in the following column.
• Population (Female): The female population in the Horn Lake is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Horn Lake for each age group.

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 Horn Lake Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of State Line by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for State Line. The dataset can be utilized to understand the population distribution of State Line by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in State Line. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for State Line.

Key observations

Largest age group (population): Male # 40-44 years (98) | Female # 50-54 years (73). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the State Line population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the State Line is shown in the following column.
• Population (Female): The female population in the State Line is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in State Line for each age group.

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 State Line Population by Gender. You can refer the same here