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.

About this dataset

Context

The dataset tabulates the Marshall town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Marshall town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Marshall town was 1,930, a 0.82% decrease year-by-year from 2021. Previously, in 2021, Marshall town population was 1,946, a decline of 0.66% compared to a population of 1,959 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Marshall town decreased by 178. In this period, the peak population was 2,170 in the year 2008. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Marshall town is shown in this column.
• Year on Year Change: This column displays the change in Marshall town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Marshall town Population by Year. You can refer the same here

Chart and table of World population from 1950 to 2025. United Nations projections are also included through the year 2100.

Chart and table of Canada population from 1950 to 2025. United Nations projections are also included through the year 2100.

The National Health Examination Surveys, Cycle I (NHES I), conducted during the period 1959-1962, were designed to secure statistics on the health status of the population of the United States. More specifically, their purpose was to determine the prevalence of certain chronic diseases, the status of dental health, and the distributions of auditory and visual acuity and certain anthropometric measurements. This collection contains demographic, household, and personal information for each sample person including age, race, sex, income, region, size of residence, usual activity, and sampling weight. Also included are responses to 12 items from a medical history questionnaire that were selected as indicators of psychological distress. The items include past experiences with such symptoms as faintness, sleeping problems, and sweaty hands.

About this dataset

Context

The dataset tabulates the Kingsland population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Kingsland. The dataset can be utilized to understand the population distribution of Kingsland by age. For example, using this dataset, we can identify the largest age group in Kingsland.

Key observations

The largest age group in Kingsland, GA was for the group of age 25-29 years with a population of 1,959 (10.75%), according to the 2021 American Community Survey. At the same time, the smallest age group in Kingsland, GA was the 85+ years with a population of 118 (0.65%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Kingsland is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Kingsland 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 Kingsland Population by Age. You can refer the same here

Chart and table of India population from 1950 to 2025. United Nations projections are also included through the year 2100.

Graph and download economic data for Poverty Status of People by Age: 18 to 64 Years, Percent of Poverty Population (HSTPOVAR18T64YPOPP) from 1959 to 2023 about 18 to 64 years, age, percent, poverty, persons, population, and USA.

About this dataset

Context

The dataset tabulates the Mount Sterling population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Mount Sterling across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Mount Sterling was 2,030, a 2.63% increase year-by-year from 2022. Previously, in 2022, Mount Sterling population was 1,978, an increase of 0.97% compared to a population of 1,959 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Mount Sterling increased by 158. In this period, the peak population was 2,030 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Mount Sterling is shown in this column.
• Year on Year Change: This column displays the change in Mount Sterling population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Mount Sterling Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Jeff Davis County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Jeff Davis County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Jeff Davis County was 1,903, a 2.86% decrease year-by-year from 2021. Previously, in 2021, Jeff Davis County population was 1,959, a decline of 1.36% compared to a population of 1,986 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Jeff Davis County decreased by 329. In this period, the peak population was 2,344 in the year 2010. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Jeff Davis County is shown in this column.
• Year on Year Change: This column displays the change in Jeff Davis County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Jeff Davis County Population by Year. You can refer the same here

Although the founding fathers declared American independence in 1776, and the subsequent Revolutionary War ended in 1783, individual states did not officially join the union until 1787. The first states to ratify the U.S. Constitution were Delaware, Pennsylvania and New Jersey, in December 1787, and they were joined by the remainder of the thirteen ex-British colonies by 1790. Another three states joined before the turn of the nineteenth century, and there were 45 states by 1900. The final states, Alaska and Hawaii, were admitted to the union in 1959, almost 172 years after the first colonies became federal states. Secession in the American Civil War The issues of slavery and territorial expansion in the mid nineteenth century eventually led to the American Civil War, which lasted from 1861 until 1865. As the U.S. expanded westwards, a moral and economic argument developed about the legality of slavery in these new states; northern states were generally opposed to the expansion of slavery, whereas the southern states (who were economically dependent on slavery) saw this lack of extension as a stepping stone towards nationwide abolition. In 1861, eleven southern states seceded from the Union, and formed the Confederate States of America. When President Lincoln refused to relinquish federal property in the south, the Confederacy attacked, setting in motion the American Civil War. After four years, the Union emerged victorious, and the Confederate States of America was disbanded, and each individual state was readmitted to Congress gradually, between 1866 and 1870. Expansion of other territories Along with the fifty U.S. states, there is one federal district (Washington D.C., the capital city), and fourteen overseas territories, five of which with a resident population (American Samoa, Guam, the Northern Mariana Islands, Puerto Rico, and the U.S. Virgin Islands). In 2019, President Trump inquired about the U.S. purchasing the territory of Greenland from Denmark, and, although Denmark's response indicated that this would be unlikely, this does suggest that the US may be open to further expansion of it's states and territories in the future. There is also a movement to make Washington D.C. the 51st state to be admitted to the union, as citizens of the nation's capital (over 700,000 people) do not have voting representation in the houses of Congress nor control over many local affairs; as of 2020, the U.S. public appears to be divided on the issue, and politicians are split along party lines, as D.C. votes overwhelmingly for the Democratic nominee in presidential elections.

The National Health Examination Surveys, Cycle I (NHES I), conducted during the period 1959-1962, were designed to secure statistics on the health status of the population of the United States. More specifically, their purpose was to determine the prevalence of certain chronic diseases, the status of dental health, and the distributions of auditory and visual acuity and certain anthropometric measurements. This collection contains demographic, household, and personal information for each sample person including age, race, sex, income, region, size of residence, usual activity, and sampling weight. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR09208.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Graph and download economic data for Poverty Status of People by Age: All People Under 18 Years, Percent of Poverty Population (HSTPOVARU18YAPU18YPOPP) from 1959 to 2023 about age, under 18 years, percent, poverty, persons, population, and USA.

Chart and table of population level and growth rate for the Baltimore metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

United States Disposable Personal Income: Memo: Mid Year Population data was reported at 291,205.000 Person th in Oct 2003. This records an increase from the previous number of 290,936.000 Person th for Sep 2003. United States Disposable Personal Income: Memo: Mid Year Population data is updated monthly, averaging 229,766.000 Person th from Jan 1959 (Median) to Oct 2003, with 538 observations. The data reached an all-time high of 291,205.000 Person th in Oct 2003 and a record low of 175,818.000 Person th in Jan 1959. United States Disposable Personal Income: Memo: Mid Year Population data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A204: NIPA 1999: Disposable Personal Income.

About this dataset

Context

The dataset tabulates the Jeff Davis County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Jeff Davis County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Jeff Davis County was 1,856, a 2.62% decrease year-by-year from 2022. Previously, in 2022, Jeff Davis County population was 1,906, a decline of 2.71% compared to a population of 1,959 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Jeff Davis County decreased by 376. In this period, the peak population was 2,344 in the year 2010. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Jeff Davis County is shown in this column.
• Year on Year Change: This column displays the change in Jeff Davis County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Jeff Davis County Population by Year. You can refer the same here

Alaska had the highest male to female ratio in the United States in 2020, with 109.2 men for every 100 women. The male to female ration was lowest in the District of Columbia, with 90.3 men for every 100 women.

The final frontier

Alaska, which was purchased from the Russian Empire in 1867, is the largest state in the U.S. and one of the newest states, having been admitted to the U.S. in 1959. Although oil production dominates the economy, Alaska has a very high poverty rate and consistently has the highest unemployment rate in the country.

It’s a man’s world

Alaska is one of 10 states in the U.S. that has more men than women. The male to female ratio in the United States as a whole is about even, but as the population ages, there tend to be more females than males. Even though the sex ratio in the U.S. is almost one to one, a little more than 56 percent all females participated in the labor force in 2021, compared with 67.6 percent of men.

Chart and table of Ireland population from 1950 to 2025. United Nations projections are also included through the year 2100.

About this dataset

Context

The dataset tabulates the Salisbury town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Salisbury town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Salisbury town was 1,828, a 0.44% decrease year-by-year from 2021. Previously, in 2021, Salisbury town population was 1,836, an increase of 0.55% compared to a population of 1,826 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Salisbury town decreased by 120. In this period, the peak population was 1,959 in the year 2010. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Salisbury town is shown in this column.
• Year on Year Change: This column displays the change in Salisbury town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Salisbury town Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Chambersburg population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Chambersburg. The dataset can be utilized to understand the population distribution of Chambersburg by age. For example, using this dataset, we can identify the largest age group in Chambersburg.

Key observations

The largest age group in Chambersburg, PA was for the group of age 25 to 29 years years with a population of 1,959 (8.94%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Chambersburg, PA was the 80 to 84 years years with a population of 510 (2.33%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Chambersburg is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Chambersburg 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 Chambersburg Population by Age. You can refer the same here