In 2022, the state with the highest median age of its population was Maine at 45.1 years. Utah had the lowest median age at 32.1 years. View the distribution of the U.S. population by ethnicity here.

Additional information on the aging population in the United States

High birth rates during the so-called baby boom years that followed World War II followed by lower fertility and morality rates have left the United States with a serious challenge in the 21st Century. However, the issue of an aging population is certainly not an issue unique to the United States. The age distribution of the global population shows that other parts of the world face a similar issue.

Within the United States, the uneven distribution of populations aged 65 years and over among states offers both major challenges and potential solutions. On the one hand, federal action over the issue may be contentious as other states are set to harbor the costs of elderly care in states such as California and Florida. That said, domestic migration from comparably younger states may help to fill gaps in the workforce left by retirees in others.

Nonetheless, aging population issues are set to gain further prominence in the political and economic decisions made by policymakers regardless of the eventual distribution of America’s elderly. Analysis of the financial concerns of Americans by age shows many young people still decades from retirement hold strong concern over their eventual financial position.

Ibrahim Traoré, who gained power in Burkina Faso following a coup d'état in 2022, is the youngest head of state worldwide. Most people on the list, like Kim Jong-un in North Korea and Nayib Bukele in El Salvador, hold real political power in their countries, whereas others have more ceremonial roles.

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.

Africa has the youngest population in the world. Among the 35 countries with the lowest median age worldwide, only three fall outside the continent. In 2023, the median age in Niger was 15.1 years, the youngest country. This means that at this age point, half of the population was younger and half older. A young population reflects several demographic characteristics of a country. For instance, together with a high population growth, life expectancy in Western Africa is low: this reached 57 years for men and 59 for women. Overall, Africa has the lowest life expectancy in the world.

Africa’s population is still growing Africa’s population growth can be linked to a high fertility rate along with a drop in death rates. Despite the fertility rate on the continent, following a constant declining trend, it remains far higher compared to all other regions worldwide. It was forecast to reach 4.12 children per woman, compared to a worldwide average of 2.31 children per woman in 2024. Furthermore, the crude death rate in Africa overall dropped, only increasing slightly during the coronavirus (COVID-19) pandemic. The largest populations on the continent Nigeria, Ethiopia, Egypt, and the Democratic Republic of Congo are the most populous African countries. In 2023, people living in Nigeria amounted to around 224 million, while the number for the three other countries exceeded 100 million each. Of those, the Democratic Republic of Congo sustained the fourth-highest fertility rate in Africa. Nigeria and Ethiopia also had high rates, with 5.24 and 4.16 births per woman, respectively. Although such a high fertility rate is expected to slow down, it will still impact the population structure, growing younger nations.

In 2022, San Jose, CA, was the hottest market for millennial homebuyers in the United States. Millennials in San Jose were responsible for nearly 64 percent of the house purchase requests. Denver, CO, and Boston, MA, completed the top three with over 60 percent of purchase requests. Which are the states with the youngest population in the U.S.? It should come as no surprise that the demographic composition plays a central role in the development of the housing market in different states. In 2020, the median age in the United States was 38.2 years, but some states, such as Alaska, District of Columbia, and Utah had much younger population. In contrast, Maine, Puerto Rico, and Hampshire had the highest median age of population. Millennials’ attitudes towards homeownership While many millennials have given up on homeownership, one in three people share that they are in the process of saving for a home purchase. These results suggest that young Americans have not entirely given up on the American dream of owning a home of their own.

As of 2023, the youngest member of the United States House of Representatives was Maxwell Alejandro Frost. Elected at 25, Frost was the first and only Generation Z member of the 118th U.S. Congress. There was a considerable age gap between Frost and the other youngest members of the House of Representatives, who were all between 33 and 34 years old.

As of 2023, the youngest member of the United States Senate was John Ossoff, at 35 years old. Although the minimum age requirement to run for a Senate seat is 30, all but two Senate members in the 118th U.S. Congress were over 40 years old.

Since 1789, 45 different men have served as President of the United States, and the average age of these men when taking office for the first time was approximately 57 years. Two men, Grover Cleveland and Donald Trump, were elected to two non-consecutive terms, and Donald Trump's victory in 2024 made him the oldest man ever elected as president, where he will be 78 years and seven months old when taking office again. Record holders The oldest president to take office for the first time was Joe Biden in 2021, at 78 years and two months - around five months younger than Donald Trump when he assumes office in 2025. The youngest presidents to take office were Theodore Roosevelt in 1901 (42 years and 322 days), who assumed office following the assassination of William McKinley, and the youngest elected president was John F Kennedy in 1961 (43 years and 236 days). Historically, there seems to be little correlation between age and electability, and the past five presidents have included the two oldest to ever take office, and two of the youngest. Requirements to become president The United States Constitution states that both the President and Vice President must be at least 35 years old when taking office, and must have lived in the United States for at least 14 years of their life. Such restrictions are also in place for members of the U.S. Congress, although the age and residency barriers are lower. Additionally, for the roles of President and Vice President, there is a "natural-born-citizen" clause that was traditionally interpreted to mean candidates must have been born in the U.S. (or were citizens when the Constitution was adopted). However, the clause's ambiguity has led to something of a reinterpretation in the past decades, with most now interpreting it as also applying to those eligible for birthright citizenship, as some recent candidates were born overseas.

Families by age of youngest child by Electoral Divisions. (Census 2022 Theme 4 Table 4 )Census 2022 table 4.4 is families by age of youngest child. Details include family units by age of youngest child, number of families and number of persons. Census 2022 theme 4 is Families. Electoral Divisions (EDs) are the smallest legally defined administrative areas in the State. There are 3,440 legally defined EDs in the State. However, in order to render them suitable for the production of statistics, the CSO has amended some ED boundaries to ensure that statistical disclosure does not occur. This has had the effect of amalgamating some EDs and splitting others. The amending of the Cork City and Cork County boundaries necessitated a redrawing of Electoral Division boundaries within Cork to ensure all ED boundaries in the county were suitable for the production of statistical data. For Census 2022, the CSO is publishing data for 3,420 CSO Electoral Divisions. The CSO Electoral divisions are referred to by their established statutory names.Formally “District Electoral Divisions” (DEDs), under the 2001 Local Government Act, the names of Wards and the names of District Electoral Divisions were changed to Electoral Divisions. Coordinate reference system: Irish Transverse Mercator (EPSG 2157). These boundaries are based on 20m generalised boundaries sourced from Tailte Éireann Open Data Portal. CSO Electoral Divisions 2022

Population pyramids provide a way to visualize the age and sex composition of a geographic region, such as a nation, state, or county. A standard population pyramid divides sex into two bar charts or histograms, one for the male population and one for the female population. The two charts mirror each other and are divide age into 5-year cohorts. The shape of a population pyramid provides insights into a region’s fertility, mortality, and migration patterns. When a region has high fertility and mortality, but low migration the visualization will look like a pyramid, with the youngest age cohort (0-4 years) representing the largest percent of the population and each older cohort representing a progressively smaller percent of the population.

In many regions fertility and mortality have decreased significantly since 1970, as people live longer and women have fewer children. With lower fertility and mortality, population pyramids are shaped more like a pillar.

While population pyramids can be made for any geographic region, when interpreting population pyramids for smaller areas (like counties) the most important force that shapes the pyramid is often in- and out-migration (Wang and vom Hofe, 2006, p. 65). For smaller regions, population pyramids can have unique shapes.

This data archive provides the resources needed to generate population pyramids for the United States, individual states, and any county within the United States. Population pyramids usually require significant data cleaning and graph making skills to generate one pyramid. With this data archive the data cleaning has been completed and the R script provides reusable code to quickly generate graphs. The final output is an image file with six graphs on one page. The final layout makes it easy to compare changes in population age and sex composition for any state and any county in the US for 1970, 1980, 1990, 2000, 2010, and 2017.

Project Overview The “Montagnards” (“mountain people” in the French language) represent a diverse array of cultures originating in the highlands of Vietnam. Largely isolated farmers or hunter-gather communities, the Montagnards were recruited by, and fought with, the American Special Forces throughout the Vietnam War. When the war ended with the fall of Saigon in 1975, the Montagnards were especially persecuted in the new regime. Montagnard individuals began arriving in the US as refugees in the mid-1980’s and family reunification efforts have continually brought more refugees here to the present day. There are over 12,000 Montagnards living in Greensboro, North Carolina, representing several cultures and distinct languages, with a majority of them in Guilford County. This makes the Piedmont the largest Montagnard community outside of southeast Asia. This study aims to document access to mental health care across four distinct generations of Montagnard community members, in an effort to identify potential mental health concerns that may be unique to each generation. When considering the overall health of Montagnards, both physical and mental, it is important to consider former experiences in Vietnam like starvation, trauma, and chemical exposure, and also the experience of being a refugee and an immigrant living in the United States. The immigrant health paradox is the idea that oftentimes, even if a migrant arrives to the United States relatively healthy, their health tends to get poorer the longer they remain in the U.S. Prior studies looking at the immigration experience of Vietnamese found them to be disadvantaged in several indicators of mental health, and refugees in the U.S. have been observed to have an elevated burden of chronic disease. The first generation Montagnard elders (born by 1970), spent the most time in Vietnam and experienced trauma and persecution firsthand. Many are preoccupied by concerns of family members that got left behind in Vietnam. The second generation of Montagnards (born 1971-1985) directly experienced the trauma of Montagnard life post-1975, but unlike the first generation, they were young children when these events unfolded. The third generation (born 1985-1995) is, in many ways, in between. They are the link between the young and the old, and both Montagnard and American cultures. The fourth generation (born after 1995), or the youngest of the Montagnards, have a radically different experience and perspective from those of the older generations. Many members of this generation speak fluent English and were born and educated in the United States. Montagnard researchers have concerns about suicide in this population. The youngest Montagnards are faced with the challenge of reconciling their Montagnard and American identities. Health access is a known issue in the Montagnard community, and it is not hard to imagine how sociocultural, political, and economic variables can help to further compound and explain negative health outcomes. Five aspects of health access are studied in this project via a framework analysis of five dimensions of health services provision: approachability, acceptability, availability/accommodation, affordability, and appropriateness. Data Collection Overview This data are from the results of a qualitative research study about access to mental health care in the Montagnard population in North Carolina. Semi-structured interviews were conducted with Montagnard individuals, and interviews were then transcribed and analyzed using Dedoose software. The study included 26 participants, with 2 participants in the first generation, 3 in the second generation, 12 in the third generation, and 9 in the fourth generation. The participants had to be at least 18 years old to participate in the study. For participants born in the US, age was determined by official US-issued government documents, such as a driver’s license or government ID. For individuals born in Vietnam, particularly in the oldest generation, birth dates given on governmental identification (i.e., immigration documents or driver’s licenses) are often incorrect since their birth dates were never known or documented officially. In these cases, the placement of an individual in a particular generation depended on their memories of the pivotal year (1975) and what they were doing at that time (i.e., were they a young child, or a soldier, etc.). All participants had to speak a language that can be translated by one of the available translators. There are many distinct languages within the Montagnard communities and we were only able to interview those individuals with whom we can be confident of the verbal and later transcribed translation. Due to the COVID-19 pandemic, we shifted data collection to a virtual format. All interviews beginning with the third participant were conducted virtually. Data collection occurred from March 2020 through August 2020. The virtual data collection consisted of two...

Characteristics of the PEARL-simulated agents using ART in 2010, 2020, and 2030.

According to a survey conducted in 2024, ** percent of parents who chose to send their youngest child to a private school in the United States said that a safe environment was the main reason why they chose this type of school, followed by ** percent who cited academic quality or reputation as the main reason. In comparison, parents who sent their youngest child to a public school, either inside or outside their school district, were most likely to say that location was the main reason behind their choice of school, at ** percent.

Clemente del Vecchio, one of the six children and inheritors of Leonardo del Vecchio President of Luxottica, the world's largest manufacturer and seller of eyewear was 20 years old, and the youngest billionaire in the world as of January 2025. Most of the young billionaires in the world inherited their wealth.

This data collection contains standard data on labor force activity for the week prior to the survey. Comprehensive data are available on the employment status, occupation, and industry of persons 15 years old and over. Also supplied are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Hispanic origin. In addition, supplemental data pertaining to fertility are included in this file. Data are presented for females aged 15 to 44 on date of first marriage, number of liveborn children, and date of birth of youngest and oldest children. Data for the respondent's spouse include age, armed forces status, citizenship, labor force status, educational attainment, nativity, origin/descent, race, and year of arrival in the United States.

Aedes aegypti is an important vector of dengue virus and other arboviruses that affect human health. After being ingested in an infectious bloodmeal, but before being transmitted from mosquito to human, dengue virus must disseminate from the vector midgut into the hemocoel and then the salivary glands. This process, the extrinsic incubation period, typically takes 6–14 days. Since older mosquitoes are responsible for transmission, understanding the age structure of vector populations is important. Transcriptional profiling can facilitate predictions of the age structures of mosquito populations, critical for estimating their potential for pathogen transmission. In this study, we utilized a two-gene transcript model to assess the age structure and daily survival rates of three populations (Key West, Marathon, and Key Largo) of Ae. aegypti from the Florida Keys, United States, where repeated outbreaks of autochthonous dengue transmission have recently occurred. We found that Key Largo had the youngest Ae. aegypti population with the lowest daily survival rate, while Key West had the oldest population and highest survival rate. Across sites, 22.67% of Ae. aegypti females were likely old enough to transmit dengue virus (at least 15 days post emergence). Computed estimates of the daily survival rate (0.8364 using loglinear and 0.8660 using non-linear regression), indicate that dengue vectors in the region experienced relatively low daily mortality. Collectively, our data suggest that Ae. aegypti populations across the Florida Keys harbor large numbers of older individuals, which likely contributes to the high risk of dengue transmission in the area.

This collection contains standard data on labor force activity for the week prior to the survey. Comprehensive data are available on the employment status, occupation, and industry of persons 14 years old and over. Also supplied are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin. In addition, supplemental data pertaining to immigration, fertility, and birth expectations are included in this file. Data are presented for females ages 18 to 44 on date of first marriage, number of liveborn children, and date of birth of youngest and oldest children. Women age 18 to 34 were questioned on the number of children they expected to have during their remaining childbearing years. The immigration questions, which were asked of all respondents, specify country of birth for the sample person and his or her parents. For those not born within the United States or its outlying areas, questions regarding citizenship and year of immigration were asked.

The database contains the survey on the changes of gender time allocation during two waves of the coronavirus lockdown (self-isolative restrictions) in Russia. Self-isolation included shift to remote work and study, the closure of childcare facilities, restrictions of mobility, etc.

Sample information

The survey was conducted on Yandex.Survey platform. The first wave was conducted on 22-23 th of May, 2020, after 2 months of the beginning of first lockdown. The second wave took place on 17-19th of November, 2020 after 1 month of the second lockdown’start.

Data was collected via online service Yandex.Survey. The platform offers a service for conducting an online survey among 50 million users of the Yandex advertising network with the ability to make a random sample, including a sample by demographic, geographic and some socio-economic characteristics.

The respondents were women of predominantly working/reproductive age (15-55) from Russia. 1411 women took part in the first wave and 1408 in the second. After cleaning data and removing outliers 2795 respondents left.

The coincidence of the distributions with the general population in terms of the main parameters (age, size of the settlement, employment, household composition) is satisfactory. The observed (insignificant) deviations are as follows: the proportion of women aged 30-43, living in cities with a population over one million has increased; decreased - at the age of 50-54 years, living in settlements with a population of less than 100 thousand people working in agriculture.

The female respondents were asked if they spend more or less time household chores and care, including: cleaning, cooking, laundry, shopping, management, child care, other care or nothing. If a woman marked, that she is living with a partner during the lockdown, she was also asked if her partner spends more or less time on each chore.

The survey also includes questions concerning the occupation type (work, work and study, study, child care leave, doesn’t work), if a woman works (or works and studies), how the lockdown effected on her job: shift to remote work, fired, paid leave, unpaid leave, no income on restrictions, continues in-person work, and if a woman lives with a partner the same question was asked considering his work on the lockdown. Further, occupational features were divided into three: income (or husband’s income) means that a woman (or her partner) has her income on the lockdown which includes remote work, in person work, paid leave; gotowork means a woman (in her partner’s case – husb_gotowork) continues in person work; and distant if a woman is working online (husb_distant for her partner). Further, we asked whether a woman has an experience of remote work: no, and it is impossible, no, but it is possible, yes. We also asked about the size and type of her employer (small, medium, large firm or state firm).

The next set of questions considers who a woman is living with on self isolation: alone, children, partner, parents, parents-in-law, others. At last, we asked respondents age, number of children and the age of the youngest child (if the number of children >0).

The database’ structure

Survey's wave variables

Social and demographic variables

age of female respondent

size of the city

number of children

the age of the youngest child

age at last birth

woman lives with her husband

woman lives with children

woman lives with children over 18 years old

woman lives with her parents

woman lives with her husband's parents

woman lives alone

woman lives with someone else

type of activity

how the lockdown effected female occupation

field of employment

type of enterprise where woman works (or does not)

there is wife's income in household

how the lockdown effected her husband's occupation

there is husband's income in household

woman's work experience at a remote location

woman has remote work in the period of lockdown

her husband has remote work in the period of lockdown

her husband has out of home work in the period of lockdown

woman has out of home work in the period of lockdown

her husband is fired or doesn't have income temporarily because of the lockdown

her husband was fired because of the lockdown

Time use variables: the changes in lockdown

WOMAN MORE

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

WOMAN LESS

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

HER HUSBAND MORE

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

HER HUSBAND LESS

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

TOGETHER MORE

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

TOGETHER LESS

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

INSTEAD MORE

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

INSTEAD LESS

childcare

care

cleaning

cooking

laundry

shopping

management

nothing

There are English and Russian versions of variables’ description.

During exploratory data analysis we introduced features instead or together. These new features are restricted to answers of women who live with partners. Whether a woman marks that she spends less(more) time on the chore and her husband spends more(less) time on that exact type of chore, that means he does it instead of his wife. Whether both a woman and her partner spend more (less) time one the chore, it means they do it together.

The variable “type of enterprise” was built on the criteria of credibility and stability during the corona-crisis from a small to a state firm (small, medium, large, state firm). Small and medium enterprises were hit the most by the pandemic (http://doklad.ombudsmanbiz.ru/2020/7.pdf), whether large and especially state firms had more resources to maintain employment and payments.

This collection contains standard data on labor force activity for the week prior to the survey. Comprehensive data are available on the employment status, occupation, and industry of persons 14 years old and over. Also supplied are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin. In addition, supplemental data pertaining to birth history, birth expectations, and child care arrangements are included in this file. Data on birth history were collected for unmarried women ages 18-49 and for married women ages 14-49 and include variables such as total number of children ever born, dates of birth of the first and most recent child, and date of first marriage. Questions on birth expectations, asked of unmarried women ages 18-44 and currently married women ages 14-44, included number of children they expect to have and ages of all children living in the household. Currently married women were asked the number of children they expect to have within the next five years and when they expected their first/next child to be born within the next five years. Questions on child care arrangements were asked of all currently employed women ages 18-44 with a child under the age of five living in the household. Data are provided on child care arrangements for the two youngest children and include items such as whether regular day care arrangements are made, location of day care facility, who provides and pays for care, and types of activities occupying the mother while day care is provided. Respondents were also asked whether they would work more hours or have more children if they could make additional child care arrangements at a reasonable cost.

This collection contains standard data on labor force activity for the week prior to the survey. Comprehensive data are available on the employment status, occupation, and industry of persons 14 years old and over. Also supplied are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin. In addition, supplemental data pertaining to immigration, fertility, and birth expectations are included in this file. The immigration questions, which were asked of all respondents, specify country of birth for the sample person and his or her parents. For those not born within the United States or its outlying areas, questions regarding citizenship and year of immigration were asked. Data are also presented for females age 18 to 44 on date of first marriage, number of liveborn children, and date of birth of youngest and oldest children. Women age 18 to 34 were questioned on the number of children they expected to have during their remaining childbearing years. (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/ICPSR08901.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.