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.

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.

As of 2023, there were just over 14 million members of Generation X in the United Kingdom, ranging from the ages of 43 to 58. The most-common single year of age for Gen X in this year was 56, at 929,842, while there were 786,525 46 year-old's, the least common year of age.

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?

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.

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.

There were approximately 14.69 million millennials in the United Kingdom in 2023. This generation, sometimes called Generation Y were born between 1981 and 1996 and are mainly the children of the post-war Baby Boomer generation. As of 2023, Millennials were the largest generational cohort in the UK, followed by Generation X at 14.04 million people, Baby Boomers at 13.57 million, and then by Generation Z at 13.2 million. The most numerous single-year of age for Millennials, and the UK as a whole, was 35 at 956,116. Boomerang generation The first cohort of millennials came of age at the turn of the century and have almost certainly been heavily influenced by the growth of internet accessibility during this time. The economic challenges faced by this generation may have a relation to the increasing share of young adults who live with their parents in the UK. This has led to the perhaps unfair, characterization of millennials as the boomerang generation, who failed to grow-up and mature. Some of these negative stereotypes regarding Millennials have since shifted to the next youngest generation, Generation Z, who have started to enter the workplace since the mid-2010s. Generation Remain One of the main challenges that British millennials currently face are their prospects after Brexit. Although the United Kingdom voted to leave the European Union in June 2016, there were clear divisions between regions, classes and age-groups. Most millennials voted to remain in the Brexit referendum with 73 percent of people aged 18 to 24, and 62 percent of those aged 25 to 34 voting to remain. In the next UK election, the majority of 25 to 49-year-olds intend to vote for the Labour Party, with only a slight majority of those over 65 planning to vote for the Conservative Party. Millennials also still appear to oppose Brexit, with approximately 65 percent of 25 to 49-year-olds believing Brexit to have been the wrong decision.

Layer references: Predominant Generations in the United States in 2018-------------------------------------------------------------------------------------------------------------------------------------This layer shows the predominant generations that make up the population of the United States using country to block group geographies. The vintage of the data is 2018. The top 3 predominant generations are Baby Boomers (born 1946-1964), Millennials (born 1981-1998), and Generation Z (born 1999-2016). Of these three, the predominant generation of the United States is Millennials. The popup is configured to show the predominant generation and population counts for each of the six generations. Size represents the total sum of categories (i.e. total population). Web Map: Predominant Generations in the United StatesFor more information, visit the Updated Demographics documentation. For a full list of variables, click the Data tab. Note: This layer will not being continuously updated or maintained.

Layer references: Predominant Generations in the United States in 2018-------------------------------------------------------------------------------------------------------------------------------------This layer shows the predominant generations that make up the population of the United States using country to block group geographies. The vintage of the data is 2018. The top 3 predominant generations are Baby Boomers (born 1946-1964), Millennials (born 1981-1998), and Generation Z (born 1999-2016). Of these three, the predominant generation of the United States is Millennials. The popup is configured to show the predominant generation and population counts for each of the six generations. Size represents the total sum of categories (i.e. total population). Web Map: Predominant Generations in the United StatesFor more information, visit the Updated Demographics documentation. For a full list of variables, click the Data tab. Note: This layer will not being continuously updated or maintained.

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.

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

Projected population (in thousands) by racialized group, generation status, age group, sex, census metropolitan area of residence, provinces and territories of residence, Canada, 2016 (observed) and 2017 to 2041 (projected according to eleven scenarios).

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.

This feature layer is the clipped Census Tracts of the City of Redlands. It is enriched with data from ESRI 2023.Enriched fields include:Education levels (High School/No Diploma, High School Diploma, GED, Some College/No Degree, Associate's Degree, Bachelor's Degree, and Grad/Professional Degree)Total HouseholdsHousing Affordability IndexMedian and Average Home ValueMedian and Average Household IncomeOccupationsGenerations (Generation Z, Millennial, Generation X, and Baby Boomer)Total PopulationHousehold PopulationPopulation Density2020-2023 Growth Rate: PopulationDaytime Population (Workers and Residents)Hispanic and Non-Hispanic groupsDominant Tapestry (lifestyles)Senior and Age 0-4 PopulationPersons with DisabilityHouseholds with 0 CarsHouseholds with Income Below Poverty LevelHave a Working Cell Phone Total Crime IndexHouseholds with No Internet AccessHousehold with Food Stamps/SNAPWorking, Professional, and Service Classes *calculated by adding associated occupations then dividing by employed 16+ civilian population number field and multiplying by 100.Employed 16+ Civilian Population (number and percentage)

The statistic presents the number of people known as Generation X in the U.S. in 2015, 2020, 2021 and 2028. In 2015, some ** million GenXers - those born between 1965 through 1980 - lived in the United States. By 2021, that number had dropped to ****.

Globally, many species are threatened by population decline because of anthropogenic changes leading to population fragmentation, genetic isolation, and inbreeding depression. Genetic rescue, the controlled introduction of genetic variation, is a method used to relieve such effects in small populations. However, without understanding how the characteristics of rescuers impact rescue attempts interventions run the risk of being sub-optimal, or even counterproductive. We use the Red Flour Beetle (Tribolium castaneum) to test the impact of rescuer sex, and sexual selection background, on population productivity. We record the impact of genetic rescue on population productivity in 24 and 36 replicated populations for ten generations following intervention. We find little or no impact of rescuer sex on the efficacy of rescue but show that a background of elevated sexual selection makes individuals more effective rescuers. In both experiments, rescue effects diminish 6-10 generations after the rescue. Our results confirm that the efficacy of genetic rescue can be influenced by characteristics of the rescuers and that the level of sexual selection in the rescuing population is an important factor. We show that any increase in fitness associated with rescue may last for a limited number of generations, suggesting implications for conservation policy and practice. Methods Husbandry T. castaneum were kept in a controlled environment at 30°C and 60% humidity with a 12:12 light-dark cycle. Populations were kept on standard fodder consisting of 90% organic white flour, 10% brewer’s yeast and a layer of oats for traction unless otherwise stated. During the husbandry cycle, 2mm and 850µm sieves were used to remove pupae and adults from fodder. The following cycle was started by a set number of adults (line dependent, see below) being placed into containers with fresh standard fodder. The oviposition phase: populations were given seven days to mate and lay eggs before adults were removed by sieving to prevent overlapping generations. The fodder containing eggs was returned to the container. The development phase: eggs were kept in the containers for 35 days to allow the eggs to develop into mature adults. Around day 21 of the development phase, pupae were collected to obtain known-sex virgin individuals which were then used to start the next generation. The pupae were kept as virgins in single-sex groups of 20 for 10 days to allow them to complete development. Once mature, the cycle began again with those beetles going into fresh fodder to form a population of males and females. Tribolium castaneum lines Krakow Super Strain (KSS): was created by mixing fourteen laboratory strains to maximise genetic diversity in a single strain (Laskowski et al., 2015). This was used as the outbred treatment in the genetic rescue experiments. Inbred Lines: Founded from KSS and inbred through three single-pair bottlenecks in the first, fifth and seventh generations. Between bottlenecks, the lines were maintained at a maximum population size of 100 randomly selected adults. Of the initial 30 lines, 24 survived the inbreeding treatment and 12 lines were maintained and used for experiments. Sexual Selection Lines: polyandrous and monogamous lines were created from the Georgia 1 stock (Haliscak and Beeman, 1983; Lumley et al., 2015). Each polyandrous line (n=3) was maintained each generation in twelve groups each consisting of five males and one female. Following oviposition, the eggs from all groups in a line are mixed to form one population from which the next generation’s groups will be sourced. For each monogamous line (n=3) twenty separate mating pairs are bred. Following oviposition, the eggs from all pairs are mixed and the next pairs are sourced from this population to maintain that line. The number of groups and pairs in each regime results in a theoretical Ne = 40 in each treatment (Godwin et al., 2020). These regimes had been maintained for 150 generations when rescuers were taken. The polyandrous lines are hereafter referred to as sexual selection lines, and monogamous as no sexual selection. Genetic rescue protocol Replicate experimental inbred populations were created from the inbred lines to serve as populations to be rescued. Pupae were sexed and placed into plastic dishes with lids, containing 10ml standard fodder in single-sex groups. 10±2 days after eclosion, ten males and ten females from a given line were placed in a 125ml tub with 70ml of standard fodder creating populations each containing twenty adult beetles at a 1:1 sex ratio for the oviposition phase. On day 20±1 of the development phase, pupae were again taken from the populations using the method outlined above to create the next non-overlapping generation. Populations were maintained using twenty reproducing adults per generation, not allowing population growth. This allowed us to maintain a roughly constant population density during offspring development across generations, avoiding the confounding influence of negative density-dependence on offspring production (Duval et al., 1939; King and Dawson, 1972; Janus, 1989). Each experimental population was randomly assigned an ID number, to avoid bias when handling. After being established at the experimental size, the populations were maintained in experimental conditions for one generation to avoid transgenerational density effects affecting the genetic rescue results (Đukić et al., 2021). The rescue treatments were applied in the second generation under experimental conditions. In each population, a single beetle was replaced with a rescuer thus maintaining the 1:1 sex ratio and population size, avoiding any increase in productivity due to a demographic rescue. Rescuers taken from their source populations as pupae were age-matched as closely as possible to individuals in experimental populations. On day 37 of the development phase experimental populations were frozen at -6°C and mature offspring were counted as a measure of productivity (our metric for population fitness). If a population was removed from the experiment because of slow development (pupae were not available to establish the next generation), that population was analysed as part of all generations prior but excluded henceforth. The sex of the rescuer in genetic rescue Due to logistic issues with ventilation, four out of the 12 experimental inbred populations failed to produce offspring in generation 0. From each of the remaining eight inbred lines, three replicate populations were created and assigned to one of three treatments; No Rescue control (ten inbred line males, ten inbred line females); Male Rescue (nine inbred line males, one KSS male, ten inbred line females); and Female Rescue (ten inbred line males, nine inbred line females, one KSS female; Figure 1). Populations were maintained for ten, non-overlapping generations. Sexual selection and genetic rescue We investigated the impact of a rescuer’s sexual selection history on the effectiveness of genetic rescue. From 12 inbred lines, three replicate populations were created and assigned to one of three treatments; No Rescue Control (ten inbred line males, ten inbred line females); Sexual Selection Rescue (nine inbred line males, one polyandrous male and, ten inbred line females); No Sexual Selection Rescue (nine inbred line males, one monogamous male, ten inbred line females; Figure 2). A single polyandrous and single monandrous line were used as the source for rescuers. Populations were maintained for nine generations. Stressful conditions To test rescue under stress conditions, duplicate rescue populations were established from each rescued line at generation five in the ‘sex’ experiment, and generation six in the ‘sexual selection’ experiment. These were maintained as in the main experiments (until generation ten and nine respectively), but with a reduction in the yeast content of the fodder, which is the main source of protein for the experimental populations. This reduction generates nutrient stress in T. castaneum (Godwin et al., 2020). In the ‘sex’ experiment fodder contained 0% yeast and 1% yeast in the ‘sexual selection’ experiment (because of low survival with zero yeast). Statistical analyses Statistical analyses were carried out in R V4.4.1 (R Core Team, 2024) utilising R studio version 2024.04.2+764 (Posit team, 2024). Tidyverse (Wickham et al., 2019), stats (R Core Team, 2024), Rmisc (Hope, 2022)and googlesheets4 (Bryan, 2023) were used for data management and exploration. Plots were created using ggplot2 (Wickham, 2016). The distribution of data was checked using the shapiro.test function (R Core Team, 2024). Generalised Linear Mixed Models (GLMMs) were fitted to test for differences in productivity between the experimental treatments using glmmTMB (Brooks et al., 2017). Model fit was checked using DHARMa (Hartig, 2022). Model parameters were checked for collinearity using variance inflation factor (Vif) scores with the check_collinearity function from performance (Lüdecke et al., 2021). There were no issues with overdispersion or collinearity (VIF: <3 for all variables) in any models. R2 was determined using the r.squaredGLMM function in MuMIn (Bartoń, 2024). Post-hoc pairwise Tukey tests were carried out using multcomp (Hothorn et al., 2008). Within each experiment, we fitted GLMMs with the same model structure, using a negative binomial distribution to model productivity counts, which provided better model fit than a Poisson distribution. Productivity was the response variable, with treatment, generation and generation2 as fixed effects. Inbred line of origin and experimental population ID were included as random effects, with ID nested within inbred line. Interaction terms (treatment x generation, treatment x generation2) were initially included but removed from the model if not significant. The generation2 factor was not significant in the

Adjusted multiple logistic regression of socioeconomic, demographic, and health variables associated with past-month substance use and any-use for adults, 2007–16.