In 2024, Millennials were the largest generation group in the United States, making up about 21.81 percent of the population. However, Generation Z was not far behind, with Gen Z accounting for around 20.81 percent of the population in that year.

Millennials were the largest generation group in the United States in 2024, with an estimated population of ***** million. Born between 1981 and 1996, Millennials recently surpassed Baby Boomers as the biggest group, and they will continue to be a major part of the population for many years. The rise of Generation Alpha Generation Alpha is the most recent to have been named, and many group members will not be able to remember a time before smartphones and social media. As of 2024, the oldest Generation Alpha members were still only aging into adolescents. However, the group already makes up around ***** percent of the U.S. population, and they are said to be the most racially and ethnically diverse of all the generation groups. Boomers vs. Millennials The number of Baby Boomers, whose generation was defined by the boom in births following the Second World War, has fallen by around ***** million since 2010. However, they remain the second-largest generation group, and aging Boomers are contributing to steady increases in the median age of the population. Meanwhile, the Millennial generation continues to grow, and one reason for this is the increasing number of young immigrants arriving in the United States.

The statistic shows the number of people in the U.S. in 2011 and 2030, by generation. By 2030, the Millennial generation will have 78 million people whereas the Boomer generation will only have 56 million people in the United States.

This map layer shows the prevalent generations that make up the population of the United States using multiple scales. As of 2018, the most predominant generations in the U.S. are Baby Boomers (born 1946-1964), Millennials (born 1981-1998), and Generation Z (born 1999-2016). Currently, Millennials are the most predominant population in the U.S.A generation represents a group of people who are born around the same time and experience world events and trends during the same stage of life through similar mediums (for example, online, television, print, or radio). Because of this, people born in the same generation are expected to have been exposed to similar values and developmental experiences, which may cause them to exhibit similar traits or behaviors over their lifetimes. Generations provide scientists and government officials the opportunity to measure public attitudes on important issues by people’s current position in life and document those differences across demographic groups and geographic regions. Generational cohorts also give researchers the ability to understand how different developmental experiences, such as technological, political, economic, and social changes, influence people’s opinions and personalities. Studying people in generational groups is significant because an individual’s age is a conventional predictor for understanding cultural and political gaps within the U.S. population.Though there is no exact equation to determine generational cutoff points, it is understood that we designate generational spans based on a 15- to 20-year gap. The only generational period officially designated by the U.S. Census Bureau is based on the surge of births after World War II in 1946 and a significant decline in birth rates after 1964 (Baby Boomers). From that point, generational gaps have been determined by significant political, economic, and social changes that define one’s formative years (for example, Generation Z is considered to be marked by children who were directly affected by the al Qaeda attacks of September 11, 2001).In this map layer, we visualize six active generations in the U.S., each marked by significant changes in American history:The Greatest Generation (born 1901-1924): Tom Brokaw’s 1998 book, The Greatest Generation, coined the term ‘the Greatest Generation” to describe Americans who lived through the Great Depression and later fought in WWII. This generation had significant job and education opportunities as the war ended and the postwar economic booms impacted America.The Silent Generation (born 1925-1945): The title “Silent Generation” originated from a 1951 essay published in Time magazine that proposed the idea that people born during this period were more cautious than their parents. Conflict from the Cold War and the potential for nuclear war led to widespread levels of discomfort and uncertainty throughout the generation.Baby Boomers (born 1946-1964): Baby Boomers were named after a significant increase in births after World War II. During this 20-year span, life was dramatically different for those born at the beginning of the generation than those born at the tail end of the generation. The first 10 years of Baby Boomers (Baby Boomers I) grew up in an era defined by the civil rights movement and the Vietnam War, in which a lot of this generation either fought in or protested against the war. Baby Boomers I tended to have great economic opportunities and were optimistic about the future of America. In contrast, the last 10 years of Baby Boomers (Baby Boomers II) had fewer job opportunities and available housing than their Boomer I counterparts. The effects of the Vietnam War and the Watergate scandal led a lot of second-wave boomers to lose trust in the American government. Generation X (born 1965-1980): The label “Generation X” comes from Douglas Coupland’s 1991 book, Generation X: Tales for An Accelerated Culture. This generation was notoriously exposed to more hands-off parenting, out-of-home childcare, and higher rates of divorce than other generations. As a result, many Gen X parents today are concerned about avoiding broken homes with their own kids.Millennials (born 1981-1998): During the adolescence of Millennials, America underwent a technological revolution with the emergence of the internet. Because of this, Millennials are generally characterized by older generations to be technologically savvy.Generation Z (born 1999-2016): Generation Z or “Zoomers” represent a generation raised on the internet and social media. Gen Z makes up the most ethnically diverse and largest generation in American history. Like Millennials, Gen Z is recognized by older generations to be very familiar with and/or addicted to technology.Questions to ask when you look at this mapDo you notice any trends with the predominant generations located in big cities? Suburbs? Rural areas?Where do you see big clusters of the same generation living in the same area?Which areas do you see the most diversity in generations?Look on the map for where you, your parents, aunts, uncles, and grandparents live. Do they live in areas where their generation is the most predominant?

As of December 2023, Generation X was the most represented group among the generations in Germany, at almost **** million people. The second-largest group, Generation Y, comprised around ***** million people.

Population Figures: Resident population by date, sex and generation (age on 31 December). Semi-annual. Autonomous Communities and Cities.

In 2023, there were about 72.7 million Millennials estimated to be living in the United States, making them the largest generation group in the country. In comparison, there were 69.31 million Gen Z and 65.35 million Gen X estimated to be in the United States in that year.

About this dataset

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.

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 United States is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of United States 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 United States Population by Age. You can refer the same here

This is the population status by dong and gender in Seongnam City, and it consists of total population, 19 years old and over, 65 years old and over, number of households, and excluded nationals. Seongnam City is a representative self-sufficient city located in the southeastern part of the metropolitan area, and has a high population density in the country. In addition, the proportion of single-person households is steadily increasing. This population and household status is used as basic data for administrative demand forecasting, welfare policy establishment, urban planning, etc., and it is a time when customized responses are needed for balanced development between regions. In addition, the foreign population, youth migration, and aging rate are also key indicators that should be paid attention to.

In 2023, half of Generation Z in the United States were white. In comparison, 48 percent of Gen Alpha were white in that year, making it the first generation that does not have a majority white population in the United States.

This table contains data on live born children per year of birth of the woman, by mother’s age, order of birth from the mother and mother whether or not married. It concerns births among the population of the Netherlands.

In this table, the data can be divided into the following characteristics: Realised numbers of live born children and realised child number per woman to: — Year of birth mother; — Mother’s age; — Marital status mother; Order of birth from the mother.

Data available for: year of birth 1935-1997

Status of the figures: All figures shown in the table are final figures.

Changes as of 15 November 2018: The underlying encodings of the classifications used in this table “Women’s Birth Generation”, “Mother’s Age (December 31)”, “Mother’s State” and “Mother Birth Volgord” have been modified. These are now in line with the standard coding established by CBS. The structure and data of the table have not been modified.

CBS is reviewing the tables on population and household statistics. The aim is to reduce the number of tables. The aim is to keep (many) requested information. In 2020, among other things, the tables relating to the Population Forecast statistics, to which this table belongs, will be reviewed.

When are new figures coming out? In the fourth quarter of 2018.

The Geoje City Resident Registration Population Status File is a systematically organized data of the local population and household information, and is used for various demographic analysis. This data consists of items such as the number of households, population per household, male population, female population, and gender ratio, and is essential basic data for understanding the population structure, gender distribution, and household characteristics of Geoje City. This data can be used in various administrative and research fields such as urban planning, policy development, and social welfare service design. For example, the population per household item can be used to analyze the increase trend of single-person households, or the gender ratio can be used to diagnose gender imbalance problems by region.

Population in The Netherlands on 1 January by sex, age, marital status, generation and migration background. CBS is in transition towards a new classification of the population by origin. Greater emphasis is now placed on where a person was born, aside from where that person’s parents were born. The term ‘migration background’ is no longer used in this regard. The main categories western/non-western are being replaced by categories based on continents and a few countries that share a specific migration history with the Netherlands. The new classification is being implemented gradually in tables and publications on population by origin. Data available from 1996 to 2022. Status of the figures: All figures in the table are final. Changes per 13 January 2023: None, this table was discontinued. When will new figures be published? No longer applicable. This table is succeeded by the table Population; sex, age, country of origin, country of birth, 1 January. See section 3.

Estimates of effective population size are critical for species of conservation concern. Genetic datasets can be used to provide robust estimates of this important parameter. However, the methods used to obtain these estimates assume that generations are discrete. We used simulated data to assess the influences of overlapping generations on estimates of effective size provided by the linkage disequilibrium method. Our simulations focus on two factors: the degree of reproductive skew exhibited by the focal species and the generation time, without considering sample size or the level of polymorphism at marker loci. In situations where a majority of reproduction is achieved by a small fraction of the population, the effective number of breeders can be much smaller than the per generation effective population size. The linkage disequilibrium in samples of newborns can provide estimates of the former size, while our results indicate that the latter size is best estimated using random samples of reproductively mature adults. Using samples of adults, the downwards bias was less than ~15% across our simulated life histories. As noted in previous assessments, precision of the estimate depends on the magnitude of effective size itself, with greater precision achieved for small populations.

In 2023, there were approximately ***** million millennials in the United Kingdom, making it the largest generational cohort at that time. Millennials surpassed the Baby Boomer generation as the largest generation for the first time in 2019. The two youngest generations, Gen Z and Gen Alpha, numbered approximately **** million, and *** million respectively. Gen X are, as of the most recent year, the second-largest generation in the UK at ***** million people, with their parent's generation, the Silent Generation, numbering around *** million people in the same year. There were estimated to be ****** people who belonged to the Greatest Generation, the parents of the Baby Boomer generation, who lived through major events such as the Great Depression and World War Two. Post-War Baby Boom The baby boomer generation was the largest generation for much of this period due to the spike in births that happened after the Second World War. In 1947, for example, there were over *** million live births in the United Kingdom, compared with just ******* live births just thirty years later in 1977. Members of this generation are typically the parents of millennials, and were the driving force behind the countercultural movement of the 1960s, due to their large numbers relative to older generations at the time. The next generational cohort after Boomers are Generation X, born between 1965 and 1980. This generation had fewer members than the Boomer generation for most of its existence, and only became larger than it in 2021. Millennials and Gen Z As of 2022, the most common single year of age in the United Kingdom in 2020 was 34, with approximately ******* people this age. Furthermore, people aged between 30 and 34 were the most numerous age group in this year, at approximately 4.67 million people. As of 2022, people in this age group were Millennials, the large generation who came of age in the late 1990s and early 2000s. Many members of this generation entered the workforce following the 2008 financial crash, and suffered through high levels of unemployment during the early 2010s. The generation that followed Millennials, Generation Z, have also experienced tough socio-economic conditions recently, with key formative years dominated by the COVID-19 pandemic, climate change, and an increasingly unstable geopolitical situation.

Uijeongbu City, Gyeonggi Province, provides population status data as public data at the end of each month. Uijeongbu City's population status public data can be used to produce various analysis data and visualization results. These data are useful for policy making, urban planning, and community research. Urban planning and policy making: By analyzing population density and the number of people per household, you can establish policies for housing, transportation, and welfare. Market research and business strategy: You can develop marketing strategies by understanding the population structure of a specific region. Academic research and statistical analysis: You can study various social phenomena by utilizing population statistics data.

The Generations Study was conducted by infratest dimap on behalf of the Konrad Adenauer Foundation. During the survey period from 27.10.2022 to 16.01.2023, the German population aged 16 and over (German citizens) was surveyed in telephone interviews (CATI) on the following topics: political interest, satisfaction with democracy, position on various political issues and current voting intention. In addition, questions were used to identify divergent attitudes of the different age groups, e.g. on consumer and nutritional behavior, value orientations, perceived conflicts in society and the use of social media. The respondents were selected using a stratified random sample from an ADM selection frame including landline and mobile phone numbers (dual-frame sample). The study consists of two separate sample parts with an identical question program: a classic population sample with a standard design and an age group sample with a targeted equal distribution of interviews across seven age groups.
Climate-friendly consumer behaviour (avoid air travel, avoid travelling by car, pay attention to ecologically produced clothing, take care to behave in an environmentally and climate-friendly manner in everyday life); importance of various food characteristics (e.g. own and fresh preparation, balanced, healthy diet, vegetarian or vegan food, etc.); vegetarian diet; vegan diet; value orientations; perceived conflicts in various social groups (young and old, poor and rich, foreigners and Germans, urban and rural areas); interest in politics; satisfaction with democracy; political commitment; feelings of threat (e.g. due to climate change, immigration to Germany, economic crisis in Germany, tensions between Europe and Russia, tensions between Europe and China, xenophobia in Germany, etc.); Position statements on political issues (taxes and duties, immigration, climate); agreement with political statements (leadership positions in politics and business should be filled by a binding proportion of women/ people with a migration background, I can rely on my abilities in difficult situations, all in all, I think things are fair in Germany, today´s pensioners should get more pension, even if everyone has to pay more contributions); credibility of public service media such as ARD and ZDF; use of social media in general (e.g. WhatsApp, Facebook, etc.); use of these social media for political information; importance of gender-appropriate language in the media; party preference (Sunday question); alternative vote Sunday question; importance of various criteria for a satisfying job (e.g. high income, good promotion opportunities, secure job, etc.).

Demography: sex; age; age group; household size; number of persons in household under 16 years; employment; unemployment longer than 6 months; job security; religious denomination; religiosity; highest general educational qualification; aspired educational qualification; personal migration background or migration background of parents; income situation; willingness to participate in a qualitative interview.

Additionally coded were: Interview number; sample (standard, age cohorts); federal state; urban/rural districts; location size (political municipality size class; interview date; interview start time, interview duration; weighting factor; INKAR spatial unit; INKAR aggregate; INKAR: total net migration per 1000 inhabitants; inflows per 1000 inhabitants; 2017 Bundestag election: Share of votes CDU/CSU, SPD, Greens, FDP, other parties, Die Linke, and AfD; Share of settlement and transport area in percent of area, inhabitants per sq km of settlement and transport area; Hospital beds per 1000 inhabitants, doctors per 1000 inhabitants, share of inhabitants in municipality with a population density of less than 150 inhabitants per sq km; Share of population living in medium-sized centers; Share of population living in regional centers. Inhabitants per square kilometer; average car journey time to the nearest motorway junction in minutes; population-weighted linear distance to the nearest public transport stop with at least 20 departures per day; interview number qualitative interview.

This is a statistic on the number of single-person households by gender and age in a legal dong (eup/myeon/dong-ri). A legal dong is a lower administrative district of a city or district, and is designated by law. It provides timely statistics on various fields such as elections, education, taxation, welfare, transportation, and regional development based on the resident registration population and households. These statistics are used as basic data necessary for national administration and policymaking. In addition, resident registration population statistics can be checked and downloaded on the Ministry of the Interior and Safety's Resident Registration Population Statistics website (https://jumin.mois.go.kr), Public Data Portal (https://data.go.kr), etc.

This table contains forecast figures about the population of the Netherlands by sex, age, ethnic group and generation on 1 January. Data available: 2013-2060 Status of the figures: The figures in this table are calculated forecast figures. Changes as of December 13, 2012. In this new table, the previous forecast has been adjusted based on the most recent insights, the forecast period now runs from 2012 to 2060. Changes as of December 16, 2014. Discontinued. When will new numbers come out? In December 2014, the new forecast figures will be published in a new table.

Large genomic datasets generated with restriction-site associated DNA sequencing (RADseq), in combination with demographic inference methods, are improving our ability to gain insights into the population history of species. We used a simulation approach to examine the potential for RADseq datasets to accurately estimate effective population size (Ne) over the course of stable and declining population trends, and we compare the ability of two methods of analysis to accurately distinguish stable from steadily declining populations over a contemporary time scale (20 generations). Using a linkage disequilibrium-based analysis, individual sampling (i.e., n ≥ 30) had the greatest effect on Ne estimation and the detection of population-size declines, with declines reliably detected across scenarios approximately 10 generations after they began. Coalescent-based inference required fewer sampled individuals (i.e., n = 15), and instead was most influenced by the size of the SNP dataset, with 25,000 to 50,000 SNPs required for accurate detection of population trends and at least 20 generations after decline began. The number of samples available and targeted number of RADseq loci are important criteria when choosing between these methods. Neither method suffered any apparent bias due to the effects of allele dropout typical of RAD data. With an understanding of the limitations and biases of these approaches, researchers can make more informed decisions when designing their sampling and analyses. Overall, our results reveal that demographic inference using RADseq data can be successfully applied to infer recent population size change and may be important tools for population monitoring and conservation biology.