In 2023, the median age of the population of the United States was 39.2 years. While this may seem quite young, the median age in 1960 was even younger, at 29.5 years. The aging population in the United States means that society is going to have to find a way to adapt to the larger numbers of older people. Everything from Social Security to employment to the age of retirement will have to change if the population is expected to age more while having fewer children. The world is getting older It’s not only the United States that is facing this particular demographic dilemma. In 1950, the global median age was 23.6 years. This number is projected to increase to 41.9 years by the year 2100. This means that not only the U.S., but the rest of the world will also have to find ways to adapt to the aging population.
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Context
The dataset tabulates the Irving 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 Irving. The dataset can be utilized to understand the population distribution of Irving by age. For example, using this dataset, we can identify the largest age group in Irving.
Key observations
The largest age group in Irving, TX was for the group of age 30 to 34 years years with a population of 24,398 (9.57%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Irving, TX was the 85 years and over years with a population of 1,968 (0.77%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Irving Population by Age. You can refer the same here
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Context
The dataset tabulates the Webster 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 Webster 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 2023, the population of Webster town was 1,968, a 0.41% increase year-by-year from 2022. Previously, in 2022, Webster town population was 1,960, an increase of 0.72% compared to a population of 1,946 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Webster town increased by 352. In this period, the peak population was 1,968 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Webster town Population by Year. You can refer the same here
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United States US: Population: Male: Ages 30-34: % of Male Population data was reported at 6.907 % in 2017. This records an increase from the previous number of 6.839 % for 2016. United States US: Population: Male: Ages 30-34: % of Male Population data is updated yearly, averaging 6.886 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 9.020 % in 1990 and a record low of 5.753 % in 1968. United States US: Population: Male: Ages 30-34: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Male population between the ages 30 to 34 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;
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Chart and table of population level and growth rate for the state of California from 1900 to 2024.
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United States US: Population: Female: Ages 30-34: % of Female Population data was reported at 6.614 % in 2017. This records an increase from the previous number of 6.572 % for 2016. United States US: Population: Female: Ages 30-34: % of Female Population data is updated yearly, averaging 6.619 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 8.573 % in 1990 and a record low of 5.479 % in 1968. United States US: Population: Female: Ages 30-34: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 30 to 34 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Chemung County 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 Chemung County. The dataset can be utilized to understand the population distribution of Chemung County by age. For example, using this dataset, we can identify the largest age group in Chemung County.
Key observations
The largest age group in Chemung County, NY was for the group of age 60 to 64 years years with a population of 6,038 (7.29%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Chemung County, NY was the 80 to 84 years years with a population of 1,968 (2.38%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Chemung County Population by Age. You can refer the same here
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United States US: Death Rate: Crude: per 1000 People data was reported at 8.400 Ratio in 2016. This records a decrease from the previous number of 8.440 Ratio for 2015. United States US: Death Rate: Crude: per 1000 People data is updated yearly, averaging 8.700 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 9.800 Ratio in 1968 and a record low of 7.900 Ratio in 2009. United States US: Death Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Population and Urbanization Statistics. Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
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United States - Population Growth for St. Kitts and Nevis was 0.10485 % Chg. at Annual Rate in January of 2023, according to the United States Federal Reserve. Historically, United States - Population Growth for St. Kitts and Nevis reached a record high of 1.56921 in January of 1955 and a record low of -2.10911 in January of 1968. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Population Growth for St. Kitts and Nevis - last updated from the United States Federal Reserve on July of 2025.
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United States - Population Ages 0 to 14 for the Arab World was 32.73804 % of Total in January of 2023, according to the United States Federal Reserve. Historically, United States - Population Ages 0 to 14 for the Arab World reached a record high of 44.86664 in January of 1968 and a record low of 32.56357 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Population Ages 0 to 14 for the Arab World - last updated from the United States Federal Reserve on July of 2025.
https://www.icpsr.umich.edu/web/ICPSR/studies/11/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/11/terms
This study contains aggregate socioeconomic and demographic data as well as electoral returns for the offices of the United States President and United States Representatives for the elections of 1966-1970 for the congressional districts of the 93rd Congress. Data are provided for the number of votes cast for the Democratic candidates and the Republican candidates, the percentage of votes received by the winning party, and the total number of votes cast in the 1966, 1968, and 1970 elections for United States Representatives, as well as the total votes cast for the office of president, and the number of votes cast for each party's presidential candidate in the 1968 election. Information is also provided on housing characteristics, employment, income, poverty level, and military enrollment for the 93rd congressional districts. Demographic variables provide information on age, race, sex, marital status, education, and place of birth for the population of these congressional districts. In addition to the congressional district level, data aggregated to the state level are also available.
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Chart and table of population level and growth rate for the state of New York from 1900 to 2024.
This dataset of U.S. mortality trends since 1900 highlights the differences in age-adjusted death rates and life expectancy at birth by race and sex. Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below). Life expectancy data are available up to 2017. Due to changes in categories of race used in publications, data are not available for the black population consistently before 1968, and not at all before 1960. More information on historical data on age-adjusted death rates is available at https://www.cdc.gov/nchs/nvss/mortality/hist293.htm. SOURCES CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the Lindley 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 Lindley 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 2023, the population of Lindley town was 1,770, a 0.45% decrease year-by-year from 2022. Previously, in 2022, Lindley town population was 1,778, a decline of 0.84% compared to a population of 1,793 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Lindley town decreased by 151. In this period, the peak population was 1,968 in the year 2011. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Lindley town Population by Year. You can refer the same here
In 2023, about 22.61 million people lived in Florida. This is an increase from the previous year, when about 22.24 people lived in the state. In 1960, the resident population of Florida stood at about 4.95 million people.
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United States Employment: Full Time data was reported at 129,143.000 Person th in Dec 2018. This records a decrease from the previous number of 129,464.000 Person th for Nov 2018. United States Employment: Full Time data is updated monthly, averaging 99,722.000 Person th from Jan 1968 (Median) to Dec 2018, with 612 observations. The data reached an all-time high of 130,644.000 Person th in Jul 2018 and a record low of 63,085.000 Person th in Jan 1968. United States Employment: Full Time data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G013: Current Population Survey: Employment.
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Chart and table of population level and growth rate for the Los Angeles metro area from 1950 to 2025.
https://www.icpsr.umich.edu/web/ICPSR/studies/27/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/27/terms
This study is a 40-year time series of social, economic, and political indicators at the national level for the United States in the period 1929-1968. The variables include data on expenditures from the federal budget by various departments, agencies, and commissions, the number of employees in the various United States departments, measures of the political characteristics of the United States Congress, such as the number of Repuplicans, Democrats, and "other" party members in the United States Senate and in the House of Representatives, business and consumer expenditures, and attributes of the population. Data are also provided on the number per 1,000 of immigrants to the United States, membership of all the religious bodies in the United States, labor union membership, total households in the United States, total civilian labor force, and the number of the unemployed. Demographic variables provide information on education, births, and death rates. The unit of analysis is the year. Variables 2-281 cover the period from 1929-1968 and Variables 282-408 cover only the period from 1947-1968.
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Context
The dataset tabulates the Lamoni 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 Lamoni 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 Lamoni was 1,974, a 0.30% increase year-by-year from 2021. Previously, in 2021, Lamoni population was 1,968, an increase of 0.56% compared to a population of 1,957 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Lamoni decreased by 480. In this period, the peak population was 2,465 in the year 2001. 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).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Lamoni Population by Year. You can refer the same here
Lynching in the United States is estimated to have claimed over 4.7 thousand lives between 1882 and 1968, and just under 3.5 thousand of these victims were black. Today, lynching is more commonly associated with racial oppression, particularly in the south, however, in early years, victims were more commonly white (specifically Mexican), and lynchings were more frequent in western territories and along the southern border. It was only after Reconstruction's end where the lynching of black people became more prevalent, and was arguably the most violent tool of oppression used by white supremacists. Nationwide, the share of the population who was black fluctuated between 10 and 13 percent in the years shown here, however the share of lynching victims who were black was almost 73 percent. North-south divide Of the 4.7 thousand victims of lynching between 1882 and 1968, over 3.5 thousand of these were killed in former-Confederate states. Of the fourteen states where the highest number of lynching victims were killed, eleven were former-Confederate states, and all saw the deaths of at least one hundred people due to lynching. Mississippi was the state where most people were lynched in these years, with an estimated 581 victims, 93 percent of whom were black. Georgia saw the second most lynchings, with 531 in total, and the share of black victims was also 93 percent. Compared to the nationwide average of 73 percent, the share of black victims in former-Confederate states was 86 percent. Texas was the only former-Confederate state where this share (71 percent) was below the national average, due to the large number of Mexicans who were lynched there. Outside of the south Of the non-Confederate state with the highest number of lynching victims, most either bordered the former-Confederate states, or were to the west. Generally speaking, the share of white victims in these states was often higher than in the south, meaning that the majority took place in the earlier years represented here; something often attributed to the lack of an established judiciary system in rural regions, and the demand for a speedy resolution. However, there are many reports of black people being lynched in the former border states in the early-20th century, as they made their way northward during the Great Migration. Between 1882 and 1968, lynchings were rare in the Northeast, although Connecticut, Massachusetts, New Hampshire and Rhode Island were the only states** without any recorded lynchings in these years.
In 2023, the median age of the population of the United States was 39.2 years. While this may seem quite young, the median age in 1960 was even younger, at 29.5 years. The aging population in the United States means that society is going to have to find a way to adapt to the larger numbers of older people. Everything from Social Security to employment to the age of retirement will have to change if the population is expected to age more while having fewer children. The world is getting older It’s not only the United States that is facing this particular demographic dilemma. In 1950, the global median age was 23.6 years. This number is projected to increase to 41.9 years by the year 2100. This means that not only the U.S., but the rest of the world will also have to find ways to adapt to the aging population.