This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).
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<ul style='margin-top:20px;'>
<li>U.S. life expectancy for 2024 was <strong>79.25</strong>, a <strong>1.11% increase</strong> from 2023.</li>
<li>U.S. life expectancy for 2023 was <strong>78.39</strong>, a <strong>1.23% increase</strong> from 2022.</li>
<li>U.S. life expectancy for 2022 was <strong>77.43</strong>, a <strong>1.45% increase</strong> from 2021.</li>
</ul>Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
Over the past 160 years, life expectancy (from birth) in the United States has risen from 39.4 years in 1860, to 78.9 years in 2020. One of the major reasons for the overall increase of life expectancy in the last two centuries is the fact that the infant and child mortality rates have decreased by so much during this time. Medical advancements, fewer wars and improved living standards also mean that people are living longer than they did in previous centuries.
Despite this overall increase, the life expectancy dropped three times since 1860; from 1865 to 1870 during the American Civil War, from 1915 to 1920 during the First World War and following Spanish Flu epidemic, and it has dropped again between 2015 and now. The reason for the most recent drop in life expectancy is not a result of any specific event, but has been attributed to negative societal trends, such as unbalanced diets and sedentary lifestyles, high medical costs, and increasing rates of suicide and drug use.
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United States US: Survival To Age 65: Male: % of Cohort data was reported at 81.615 % in 2016. This records an increase from the previous number of 81.372 % for 2015. United States US: Survival To Age 65: Male: % of Cohort data is updated yearly, averaging 73.582 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 81.615 % in 2016 and a record low of 63.787 % in 1967. United States US: Survival To Age 65: Male: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;
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Context
The dataset tabulates the United States 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 United States. The dataset can be utilized to understand the population distribution of United States by age. For example, using this dataset, we can identify the largest age group in United States.
Key observations
The largest age group in United States was for the group of age 25-29 years with a population of 22,854,328 (6.93%), according to the 2021 American Community Survey. At the same time, the smallest age group in United States was the 80-84 years with a population of 5,932,196 (1.80%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 United States Population by Age. You can refer the same here
In 2021, a woman in the United States aged 65 years could expect to live another 19.7 years on average. This number decreased in the years 2020 and 2021, after reaching a high of 20.8 years in 2019. Nevertheless, the life expectancy of a woman aged 65 years in the United States is still higher than that of a man of that age. In 2021, a man aged 65 years could be expected to live another 17 years on average.
Why has the life expectancy in the U.S. declined? Overall, life expectancy in the United States has declined in recent years. In 2019, the life expectancy for U.S. women was 81.4 years, but by 2021 it had decreased to 79.3 years. Likewise, the life expectancy for men decreased from 76.3 years to 73.5 years in the same period. The biggest contributors to this decline in life expectancy are the COVID-19 pandemic and the opioid epidemic. Although deaths from the COVID-19 pandemic have decreased significantly since 2022, deaths from opioid overdose continue to increase, reaching all-time highs in 2021.
The leading causes of death among U.S. women The leading causes of death among women in the United States in 2020 were heart disease, cancer, and COVID-19. That year heart disease and cancer accounted for a combined 37 percent of all deaths among women, while around 10 percent of deaths were due to COVID-19. The overall leading causes of death in the United States generally reflect the leading causes among women with some slight variations. For example, Alzheimer’s disease is the fourth leading cause of death among women, but the seventh leading cause of death overall in the United States.
A global phenomenon, known as the demographic transition, has seen life expectancy from birth increase rapidly over the past two centuries. In pre-industrial societies, the average life expectancy was around 24 years, and it is believed that this was the case throughout most of history, and in all regions. The demographic transition then began in the industrial societies of Europe, North America, and the West Pacific around the turn of the 19th century, and life expectancy rose accordingly. Latin America was the next region to follow, before Africa and most Asian populations saw their life expectancy rise throughout the 20th century.
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United States US: Population: Male: Ages 80 and Above: % of Male Population data was reported at 2.993 % in 2017. This records an increase from the previous number of 2.928 % for 2016. United States US: Population: Male: Ages 80 and Above: % of Male Population data is updated yearly, averaging 1.869 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2.993 % in 2017 and a record low of 1.142 % in 1960. United States US: Population: Male: Ages 80 and Above: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Male population between the ages 80 and above 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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United States US: Population: Male: Ages 70-74: % of Male Population data was reported at 3.553 % in 2017. This records an increase from the previous number of 3.377 % for 2016. United States US: Population: Male: Ages 70-74: % of Male Population data is updated yearly, averaging 2.712 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3.553 % in 2017 and a record low of 2.264 % in 1969. United States US: Population: Male: Ages 70-74: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Male population between the ages 70 to 74 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.; ;
In 2020, a newborn Hispanic child in the United States had a projected life expectancy of 77.9 years, the highest life expectancy among the ethnic groups studied. In comparison, the life expectancy at birth for a Black, non-Hispanic child in 2020 was 71.5 years.
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United States US: Population: Male: Ages 50-54: % of Male Population data was reported at 6.741 % in 2017. This records a decrease from the previous number of 6.885 % for 2016. United States US: Population: Male: Ages 50-54: % of Male Population data is updated yearly, averaging 5.415 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7.196 % in 2011 and a record low of 4.426 % in 1986. United States US: Population: Male: Ages 50-54: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Male population between the ages 50 to 54 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.; ;
Since 1789, the United States has had 45 different men serve as president, of which five are still alive today. At 78 years and two months, Joe Biden became the oldest man to ascend to the presidency for the first time in 2021, however Donald Trump was older when he re-entered the White House, at 78 years and seven months. Eight presidents have died while in office, including four who were assassinated by gunshot, and four who died of natural causes. The president who died at the youngest age was John F. Kennedy, who was assassinated at 46 years old in Texas in 1963; Kennedy was also the youngest man ever elected to the office of president. The longest living president in history is Jimmy Carter, who celebrated his 100th birthday in just before his death in 2024. The youngest currently-living president is Barack Obama, who turned 63 in August 2024. Coincidentally, presidents Clinton, Bush Jr., and Trump were all born within 66 days of one another, between June and August 1946. George Washington The U.S.' first president, George Washington, died after developing a severe inflammation of the throat, which modern scholars suspect to have been epiglottitis. However, many suspect that it was the treatments used to treat this illness that ultimately led to his death. After spending a prolonged period in cold and wet weather, Washington fell ill and ordered his doctor to let one pint of blood from his body. As his condition deteriorated, his doctors removed a further four pints in an attempt to cure him (the average human has between eight and twelve pints of blood in their body). Washington passed away within two days of his first symptoms showing, leading many to believe that this was due to medical malpractice and not due to the inflammation in his throat. Bloodletting was one of the most common and accepted medical practices from ancient Egyptian and Greek times until the nineteenth century, when doctors began to realize how ineffective it was; today, it is only used to treat extremely rare conditions, and its general practice is heavily discouraged. Zachary Taylor Another rare and disputed cause of death for a U.S. president was that of Zachary Taylor, who died sixteen months into his first term in office. Taylor had been celebrating the Fourth of July in the nation's capital in 1850, where he began to experience stomach cramps after eating copious amounts of cherries, other fruits, and iced milk. As his condition worsened, he drank a large amount of water in an attempt to alleviate his symptoms, but to no avail. Taylor died of gastroenteritis five days later, after being treated with a heavy dose of drugs and bloodletting. The most commonly accepted theories for his illness are that the ice used in the milk and the water consumed afterwards were contaminated with cholera, and that this was further exacerbated by the large amounts of acid in his system from eating so much fruit. There are some suggestions that recovery was feasible, but the actions of his doctors had made this impossible. Additionally, there have been conspiracy theories suggesting that Taylor was poisoned by pro-slavery secessionists from the Southern States, although there appears to be no evidence to back this up.
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Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Total: From 15 to 64 Years for United States (LFWA64TTUSM647S) from Jan 1977 to Apr 2025 about working-age, 15 to 64 years, population, and USA.
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Context
The dataset tabulates the population of Live Oak by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Live Oak. The dataset can be utilized to understand the population distribution of Live Oak by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Live Oak. 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 Live Oak.
Key observations
Largest age group (population): Male # 10-14 years (738) | Female # 30-34 years (996). 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:
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
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 Live Oak Population by Gender. You can refer the same here
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BackgroundLife expectancy at birth in the United States will likely surpass 80 years in the coming decade. Yet recent studies suggest that longevity gains are unevenly shared across age and socioeconomic groups. First, mortality in midlife has risen among non-Hispanic whites. Second, low-educated whites have suffered stalls (men) or declines (women) in adult life expectancy, which is significantly lower than among their college-educated counterparts. Estimating the number of life years lost or gained by age and cause of death, broken down by educational attainment, is crucial in identifying vulnerable populations.Methods and FindingsUsing U.S. vital statistics data from 1990 to 2010, this study decomposes the change in life expectancy at age 25 by age and cause of death across educational attainment groups, broken down by race and gender. The findings reveal that mortality in midlife increased for white women (and to a lesser extent men) with 12 or fewer years of schooling, accounting for most of the stalls or declines in adult life expectancy observed in those groups. Among blacks, mortality declined in nearly all age and educational attainment groups. Although an educational gradient was found across multiple causes of death, between 60 and 80 percent of the gap in adult life expectancy was explained by cardiovascular diseases, smoking-related diseases, and external causes of death. Furthermore, the number of life years lost to smoking-related, external, and other causes of death increased among low- and high school-educated whites, explaining recent stalls or declines in longevity.ConclusionsLarge segments of the American population—particularly low- and high school-educated whites under age 55—are diverging from their college-educated counterparts and losing additional years of life to smoking-related diseases and external causes of death. If this trend continues, old-age mortality may also increase for these birth cohorts in the coming decades.
It is only in the past two centuries where demographics and the development of human populations has emerged as a subject in its own right, as industrialization and improvements in medicine gave way to exponential growth of the world's population. There are very few known demographic studies conducted before the 1800s, which means that modern scholars have had to use a variety of documents from centuries gone by, along with archeological and anthropological studies, to try and gain a better understanding of the world's demographic development. Genealogical records One such method is the study of genealogical records from the past; luckily, there are many genealogies relating to European families that date back as far as medieval times. Unfortunately, however, all of these studies relate to families in the upper and elite classes; this is not entirely representative of the overall population as these families had a much higher standard of living and were less susceptible to famine or malnutrition than the average person (although elites were more likely to die during times of war). Nonetheless, there is much to be learned from this data. Impact of the Black Death In the centuries between 1200 and 1745, English male aristocrats who made it to their 21st birthday were generally expected to live to an age between 62 and 72 years old. The only century where life expectancy among this group was much lower was in the 1300s, where the Black Death caused life expectancy among adult English noblemen to drop to just 45 years. Experts assume that the pre-plague population of England was somewhere between four and seven million people in the thirteenth century, and just two million in the fourteenth century, meaning that Britain lost at least half of its population due to the plague. Although the plague only peaked in England for approximately eighteen months, between 1348 and 1350, it devastated the entire population, and further outbreaks in the following decades caused life expectancy in the decade to drop further. The bubonic plague did return to England sporadically until the mid-seventeenth century, although life expectancy among English male aristocrats rose again in the centuries following the worst outbreak, and even peaked at more than 71 years in the first half of the sixteenth century.
Female population of United States of America climb by 0.52% from 169,188,508.00 persons in 2023 to 170,072,864.00 persons in 2024. Since the 0.66% increase in 2014, female population jumped by 5.58% in 2024.
Over the period 2007-2011, life expectancy at birth was 78.5 years for the total population in New Mexico, 75.8 years for males, and 81.3 years for females.For comparison, in 2011, life expectancy at birth was 78.7 years for the total U.S. population, 76.3 years for males, and 81.1 years for females. (http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6335a8.htm?s_cid=mm6335a8_e )PLEASE NOTE: The data in this map corrects, updates and replaces life expectancy data included in the 2012 Bernalillo County Place Matters 'Community Health Equity Report'. Compare life expectancy in Europe and the USA - Map ImageNOTE: Changes in life expectancy (Increase, Decrease, No Change) over the periods 1999-2003 to 2007-2011 are tested for statistical significance using a rule of one standard deviation.
Life Expectancy at Birth, Small Areas, by Sex, 1999-2003 and 2007-2011 - LEBSASEX
Summary: Life Expectancy at Birth, Small Areas, by Sex, 1999-2003 and 2007-2011
Prepared by: NEW MEXICO COMMUNITY DATA COLLABORATIVE, http://nmcdc.maps.arcgis.com/home/index.html ; T Scharmen, thomas.scharmen@state.nm.us, 505-897-5700 x126,
Data Sources: New Mexico Death Certificate Database, Office of Vital Records and Statistics, New Mexico Department of Health; Population Estimates: University of New Mexico, Geospatial and Population Studies (GPS) Program, http://bber.unm.edu/bber_research_demPop.html. Retrieved Mon, 21 June 2014 from New Mexico Department of Health, Indicator-Based Information System for Public Health Web site: http://ibis.health.state.nm.us
Shapefile: http://nmcdc.maps.arcgis.com/home/item.html?id=1e97d2715d8640ab9023fa35fc7b2634
Feature: http://nmcdc.maps.arcgis.com/home/item.html?id=3104749c2c094044914abf9ba6953eab
Master File:
NM DATA VARIABLE DEFINITION
999 SANO Small Area Number
NEW MEXICO SANAME Small Area Name
9250534 PB9903 Population at Risk, Both Sexes, 1999-2003
77.7 LEB9903 Life Expectancy at Birth, Both Sexes, 1999-2003
77.7 CILB9903 Lower Confidence Interval for Life Expectancy at Birth, Both Sexes, 1999-2003
77.7 CIUB9903 Upper Confidence Interval for Life Expectancy at Birth, Both Sexes, 1999-2003
10188104 PB0711 Population at Risk, Both Sexes, 2007-2011
78.5 LEB0711 Life Expectancy at Birth, Both Sexes, 2007-2011
78.5 CILB0711 Lower Confidence Interval for Life Expectancy at Birth, Both Sexes, 2007-2011
78.5 CIUB0711 Upper Confidence Interval for Life Expectancy at Birth, Both Sexes, 2007-2011
0.8 LEBDIFF Difference in Life Expectancy, Both Sexes, 2007-2011 MINUS 1999-2003
INCREASE LEBSIG Trend of the Difference in Life Expectancy, Both Sexes, (1 standard deviation = 68.2% confidence interval)
4683013 PF9903 Population at Risk, Females, 1999-2003
80.6 LEF9903 Life Expectancy at Birth, Females, 1999-2003
80.6 CILF9903 Lower Confidence Interval for Life Expectancy at Birth, Females, 1999-2003
80.6 CIUF9903 Upper Confidence Interval for Life Expectancy at Birth, Females, 1999-2003
5155192 PF0711 Population at Risk, Females, 2007-2011
81.3 LEF0711 Life Expectancy at Birth, Females, 2007-2011
81.3 CILF0711 Lower Confidence Interval for Life Expectancy at Birth, Females, 2007-2011
81.3 CIUF0711 Upper Confidence Interval for Life Expectancy at Birth, Females, 2007-2011
0.7 LEFDIFF Difference in Life Expectancy, Females, 2007-2011 MINUS 1999-2003
INCREASE LEFSIG Trend of the Difference in Life Expectancy, Females, (1 standard deviation = 68.2% confidence interval)
4567521 PM9903 Population at Risk, Males, 1999-2003
74.8 LEM9903 Life Expectancy at Birth, Males, 1999-2003
74.8 CILM9903 Lower Confidence Interval for Life Expectancy at Birth, Males, 1999-2003
74.8 CIUM9903 Upper Confidence Interval for Life Expectancy at Birth, Males, 1999-2003
5032911 PM0711 Population at Risk, Males, 2007-2011
75.8 LEM0711 Life Expectancy at Birth, Males, 2007-2011
75.7 CILM0711 Lower Confidence Interval for Life Expectancy at Birth, Males, 2007-2011
75.8 CIUM0711 Upper Confidence Interval for Life Expectancy at Birth, Males, 2007-2011
1 LEMDIFF Difference in Life Expectancy, Males, 2007-2011 MINUS 1999-2003
INCREASE LEMSIG Trend of the Difference in Life Expectancy, Males, (1 standard deviation = 68.2% confidence interval)
1.077540107 FMRT9903 Female to Male Ratio of Life Expectancy, 1999-2003
1.072559367 FMRT0711 Female to Male Ratio of Life Expectancy, 2007-2011
5.8 FMDT9903 Female Life Expectancy MINUS Male Life Expectancy, 1999-2003
5.5 FMDT0711 Female Life Expectancy MINUS Male Life Expectancy, 2007-2011
-0.3 FMDTDIFF Difference in Female Life Expectancy MINUS Male Life Expectancy, over both time periods, in Years
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Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Male: From 25 to 54 Years for United States (LFWA25MAUSQ647S) from Q1 1977 to Q1 2025 about 25 to 54 years, working-age, males, population, and USA.
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Population ages 75-79, male (% of male population) in United States was reported at 3.0687 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Population ages 75-79, male (% of male population) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.
This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).