100+ datasets found
  1. Baby Boomer population UK 2023, by age and gender

    • statista.com
    Updated Oct 24, 2024
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    Statista (2024). Baby Boomer population UK 2023, by age and gender [Dataset]. https://www.statista.com/statistics/1394832/uk-baby-boomer-population/
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    Dataset updated
    Oct 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom
    Description

    As of 2023, there were approximately 13.57 million members of the Baby Boomer generation in the United Kingdom, ranging from the ages of 59 to 77. The most-common single year of age for Baby Boomers in this year was 59, at 915,735, while there were 521,896 who were 77, the least common year of age.

  2. a

    Generations of the United States

    • hub.arcgis.com
    Updated May 10, 2023
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    MapMaker (2023). Generations of the United States [Dataset]. https://hub.arcgis.com/maps/0c5e5549f73d4bffaaff1e750ce5d38f
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    Dataset updated
    May 10, 2023
    Dataset authored and provided by
    MapMaker
    Area covered
    Description

    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?

  3. U.S. population by generation 2024

    • statista.com
    • ai-chatbox.pro
    Updated May 13, 2025
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    Statista (2025). U.S. population by generation 2024 [Dataset]. https://www.statista.com/statistics/797321/us-population-by-generation/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  4. Population of the UK 1990-2023, by generation

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Population of the UK 1990-2023, by generation [Dataset]. https://www.statista.com/statistics/528577/uk-population-by-generation/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    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.

  5. U.S. population share by generation 2024

    • statista.com
    Updated May 13, 2025
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    Statista (2025). U.S. population share by generation 2024 [Dataset]. https://www.statista.com/statistics/296974/us-population-share-by-generation/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  6. G

    Age Structure, 2006 - Later Working Years by Census Subdivision (35 - 64...

    • ouvert.canada.ca
    • open.canada.ca
    jp2, zip
    Updated Mar 14, 2022
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    Natural Resources Canada (2022). Age Structure, 2006 - Later Working Years by Census Subdivision (35 - 64 years) [Dataset]. https://ouvert.canada.ca/data/dataset/dfe7b7ee-8893-11e0-8b80-6cf049291510
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    zip, jp2Available download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Natural Resources Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    The working-age population can be divided into two broad categories: the early-working age group (15-34) and the later working age group (35-64). The effect of fertility on the composition of these groups is obvious. The later working age group is largely composed of the baby-boomers (those born between 1946 and 1965), while the early working age group is composed of those born during the baby-bust period (1966-1974) and the children of baby-boomers. Thus, despite the fact that baby-boomers are now older, they still remain the largest group in the population. This is evident in the relatively large proportion (42.6%) of the population that belonged to the late working age group in 2006. The corresponding proportion was much smaller (31.3%) just 25 years ago in 1981. As a result of the entry into the working age group of the people born during the baby-bust period and the children of baby-boomers in 2006, only 26.0% of the population belonged to the 15 to 34 age group in 2006, compared with 36.5% in 1981.

  7. Millennial population of the UK 2023, by age and gender

    • statista.com
    Updated Oct 24, 2024
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    Statista (2024). Millennial population of the UK 2023, by age and gender [Dataset]. https://www.statista.com/statistics/630938/uk-millennial-population-by-age/
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    Dataset updated
    Oct 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom
    Description

    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.

  8. u

    Age Structure, 2006 - Early Working Years by Census Division (15 - 34 years)...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
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    (2024). Age Structure, 2006 - Early Working Years by Census Division (15 - 34 years) - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-dfa298a1-8893-11e0-90eb-6cf049291510
    Explore at:
    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    The working-age population can be divided into two broad categories: the early-working age group (15-34) and the later working age group (35-64). The effect of fertility on the composition of these groups is obvious. The later working age group is largely composed of the baby-boomers (those born between 1946 and 1965), while the early working age group is composed of those born during the baby-bust period (1966-1974) and the children of baby-boomers. Thus, despite the fact that baby-boomers are now older, they still remain the largest group in the population. This is evident in the relatively large proportion (42.6%) of the population that belonged to the late working age group in 2006. The corresponding proportion was much smaller (31.3%) just 25 years ago in 1981. As a result of the entry into the working age group of the people born during the baby-bust period and the children of baby-boomers in 2006, only 26.0% of the population belonged to the 15 to 34 age group in 2006, compared with 36.5% in 1981.

  9. I

    Leisure Travel Market Size, Industry Analysis By Traveler Type (Solo and...

    • infinitivedataexpert.com
    pdf
    Updated Nov 13, 2023
    + more versions
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    Infinitive Data Expert (2023). Leisure Travel Market Size, Industry Analysis By Traveler Type (Solo and Group), Sales Channel (Conventional Channels, Online Channels), By Age Group (Baby Boomers, Generation X, Millennials and Generation Z) and By Expenditure Type (Lodging, Transportation, Food & Beverages, Events & Entertainment and Others) – Global, Trends, Share And Forecast 2023-2030 [Dataset]. https://www.infinitivedataexpert.com/industry-report/leisure-travel-market
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    pdfAvailable download formats
    Dataset updated
    Nov 13, 2023
    Dataset authored and provided by
    Infinitive Data Expert
    License

    https://www.infinitivedataexpert.com/page/privacy-policyhttps://www.infinitivedataexpert.com/page/privacy-policy

    Time period covered
    2023 - 2032
    Area covered
    Global
    Description

    With a CAGR of 23.6% between 2023 and 2030, the worldwide leisure travel market is expected to grow from its 2022 valuation of $1,007.15 billion to reach $1,737.23 billion. Market size, growth, share

  10. FiveThirtyEight Drug Use By Age Dataset

    • kaggle.com
    Updated Apr 26, 2019
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    FiveThirtyEight (2019). FiveThirtyEight Drug Use By Age Dataset [Dataset]. https://www.kaggle.com/fivethirtyeight/fivethirtyeight-drug-use-by-age-dataset/activity
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 26, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    FiveThirtyEight
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Content

    Drug Use By Age

    This directory contains data behind the story How Baby Boomers Get High. It covers 13 drugs across 17 age groups.

    Source: National Survey on Drug Use and Health from the Substance Abuse and Mental Health Data Archive.

    HeaderDefinition
    alcohol-usePercentage of those in an age group who used alcohol in the past 12 months
    alcohol-frequencyMedian number of times a user in an age group used alcohol in the past 12 months
    marijuana-usePercentage of those in an age group who used marijuana in the past 12 months
    marijuana-frequencyMedian number of times a user in an age group used marijuana in the past 12 months
    cocaine-usePercentage of those in an age group who used cocaine in the past 12 months
    cocaine-frequencyMedian number of times a user in an age group used cocaine in the past 12 months
    crack-usePercentage of those in an age group who used crack in the past 12 months
    crack-frequencyMedian number of times a user in an age group used crack in the past 12 months
    heroin-usePercentage of those in an age group who used heroin in the past 12 months
    heroin-frequencyMedian number of times a user in an age group used heroin in the past 12 months
    hallucinogen-usePercentage of those in an age group who used hallucinogens in the past 12 months
    hallucinogen-frequencyMedian number of times a user in an age group used hallucinogens in the past 12 months
    inhalant-usePercentage of those in an age group who used inhalants in the past 12 months
    inhalant-frequencyMedian number of times a user in an age group used inhalants in the past 12 months
    pain-releiver-usePercentage of those in an age group who used pain relievers in the past 12 months
    pain-releiver-frequencyMedian number of times a user in an age group used pain relievers in the past 12 months
    oxycontin-usePercentage of those in an age group who used oxycontin in the past 12 months
    oxycontin-frequencyMedian number of times a user in an age group used oxycontin in the past 12 months
    tranquilizer-usePercentage of those in an age group who used tranquilizer in the past 12 months
    tranquilizer-frequencyMedian number of times a user in an age group used tranquilizer in the past 12 months
    stimulant-usePercentage of those in an age group who used stimulants in the past 12 months
    stimulant-frequencyMedian number of times a user in an age group used stimulants in the past 12 months
    meth-usePercentage of those in an age group who used meth in the past 12 months
    meth-frequencyMedian number of times a user in an age group used meth in the past 12 months
    sedative-usePercentage of those in an age group who used sedatives in the past 12 months
    sedative-frequencyMedian number of times a user in an age group used sedatives in the past 12 months

    Context

    This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using GitHub's API and Kaggle's API.

    This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

    Cover photo by Eric Muhr on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  11. Drug Use By Age

    • kaggle.com
    Updated Apr 23, 2021
    + more versions
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    Bojan Tunguz (2021). Drug Use By Age [Dataset]. https://www.kaggle.com/datasets/tunguz/drug-use-by-age/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 23, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bojan Tunguz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Drug Use By Age

    This directory contains data behind the story How Baby Boomers Get High. It covers 13 drugs across 17 age groups.

    Source: National Survey on Drug Use and Health from the Substance Abuse and Mental Health Data Archive.

    HeaderDefinition
    alcohol-usePercentage of those in an age group who used alcohol in the past 12 months
    alcohol-frequencyMedian number of times a user in an age group used alcohol in the past 12 months
    marijuana-usePercentage of those in an age group who used marijuana in the past 12 months
    marijuana-frequencyMedian number of times a user in an age group used marijuana in the past 12 months
    cocaine-usePercentage of those in an age group who used cocaine in the past 12 months
    cocaine-frequencyMedian number of times a user in an age group used cocaine in the past 12 months
    crack-usePercentage of those in an age group who used crack in the past 12 months
    crack-frequencyMedian number of times a user in an age group used crack in the past 12 months
    heroin-usePercentage of those in an age group who used heroin in the past 12 months
    heroin-frequencyMedian number of times a user in an age group used heroin in the past 12 months
    hallucinogen-usePercentage of those in an age group who used hallucinogens in the past 12 months
    hallucinogen-frequencyMedian number of times a user in an age group used hallucinogens in the past 12 months
    inhalant-usePercentage of those in an age group who used inhalants in the past 12 months
    inhalant-frequencyMedian number of times a user in an age group used inhalants in the past 12 months
    pain-releiver-usePercentage of those in an age group who used pain relievers in the past 12 months
    pain-releiver-frequencyMedian number of times a user in an age group used pain relievers in the past 12 months
    oxycontin-usePercentage of those in an age group who used oxycontin in the past 12 months
    oxycontin-frequencyMedian number of times a user in an age group used oxycontin in the past 12 months
    tranquilizer-usePercentage of those in an age group who used tranquilizer in the past 12 months
    tranquilizer-frequencyMedian number of times a user in an age group used tranquilizer in the past 12 months
    stimulant-usePercentage of those in an age group who used stimulants in the past 12 months
    stimulant-frequencyMedian number of times a user in an age group used stimulants in the past 12 months
    meth-usePercentage of those in an age group who used meth in the past 12 months
    meth-frequencyMedian number of times a user in an age group used meth in the past 12 months
    sedative-usePercentage of those in an age group who used sedatives in the past 12 months
    sedative-frequencyMedian number of times a user in an age group used sedatives in the past 12 months
  12. Generational Transmissions in Finland, Baby Boomers 2012

    • services.fsd.tuni.fi
    zip
    Updated Jan 9, 2025
    + more versions
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    Rotkirch, Anna; Haavio-Mannila, Elina; Roos, Jeja-Pekka; Danielsbacka, Mirkka; Tanskanen, Antti O. (2025). Generational Transmissions in Finland, Baby Boomers 2012 [Dataset]. http://doi.org/10.60686/t-fsd3255
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    zipAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    Finnish Social Science Data Archive
    Authors
    Rotkirch, Anna; Haavio-Mannila, Elina; Roos, Jeja-Pekka; Danielsbacka, Mirkka; Tanskanen, Antti O.
    Area covered
    Finland
    Description

    The study charted Finnish baby boomers' contacts with relatives and friends as well as giving and receiving help. The study was funded by the Academy of Finland (project id 250620) and Alli Paasikivi Foundation. FSD's holdings also include data on baby boomers' chilren collected in the same research project (FSD3256). First, the respondents were asked whether they kept up their health and whether they suffered from a long-term illness or a permanent injury. They were asked whether they considered themselves happy, if they considered religion important in their lives, and whether they had participated in charity or voluntary work within the previous year. The number of the respondents' children and grandchildren was enquired, after which the respondents' adult children were examined in more detail. Questions charted at which age the respondents' children moved away from home and how far away they lived, as well as how the respondents perceived their children's financial situation. The respondents were asked how often on average they had been in contact with their children within the previous year, how close they felt to their children, and whether they had had conflicts with them. It was also examined whether the respondents had received practical help (e.g. with yard work, renovation, technology) or financial help from their children within the previous year, and whether they had provided similar help to their children. Whether the respondents had babysat their grandchildren and how many times within the previous year was also examined, as well as whether the respondents' children or their spouses had restricted the respondents' ability to contact their grandchildren. The birth year of the respondents' and their spouses' parents was charted as well as whether the parents were still alive. More questions were asked regarding the respondents' and their spouses' living parents, such as how far away they lived, how the respondents perceived their state of health and financial circumstances, and how often they had been in contact within the previous year. They were also asked how close they were and how often within the previous year the respondents had helped their own or their spouses' parents with care (e.g. washing, feeding) or provided them with practical or financial assistance. Similar questions were also asked about siblings: how many brothers and sisters the respondents had, when they were born, whether they all shared the same parents, how far away they lived, how the respondents perceived their financial circumstances, how often they had been in contact, whether they had had conflicts, and whether they had received and provided help. It was also asked whether the respondents felt that their parents had treated all siblings equally, whether the siblings had children, and how often the respondents had been in contact with their siblings' children or provided them with financial help. Similar questions were also asked concerning different kinds of relatives as well as friends. The respondents were also asked how many close friends they perceived to have and how many relatives they considered 'close'. Attitudinal statements examined the respondents' views on whether grandparents have the responsibility to babysit their grandchildren, to advance grandchildren's and their families' financial security, and to take care of grandchildren if parents are not able to, as well as whether it is natural for daughters to take more responsibility than sons in caring for their aged parents, and whether children have the responsibility to take their parents to live with them when they are no longer able to live independently. Finally, the respondents were asked how responsibility should be shared between society and family concerning financial support to the elderly, helping the elderly with everyday chores, and caring for the elderly, and the respondents' opinions on giving and receiving help was charted with regard to whether they expected to be helped themselves in the future when providing help to others, whether they only provided help to those relatives or friends that they liked, and whether friends and relatives demanded too much of the respondents. Background variables included, among others, gender, marital status, own and spouse's birth year, economic activity (own and spouse's), education (own and spouse's), household composition, net monthly income, and perceived financial status.

  13. Distributions of household economic accounts, income, consumption and...

    • db.nomics.world
    Updated Jul 17, 2025
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    DBnomics (2025). Distributions of household economic accounts, income, consumption and saving, by characteristic, annual [Dataset]. https://db.nomics.world/STATCAN/36100587
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    Dataset updated
    Jul 17, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Authors
    DBnomics
    Description

    Income quintiles are assigned based on equivalized household disposable income, which takes into account differences in household size and composition using a method proposed by the Organization for Economic Co-operation and Development (OECD). The OECD-modified" equivalence scale assigns a value of 1 to the first adult Age groups refer to the age group of the major income earner. This refers to the main source of income for the household, that is, wages and salaries, self-employment income, net property income, current transfers received related to pension benefits, or other current transfers received from non-pension related sources.
    Self-employment income refers to mixed income related to non-farm and farm businesses. Household rental income is not included. Revenues from Current transfers received - pension benefits relate to current transfers received from corporations for employer's pension plans and current transfers received from government for the Canada and Québec pension plans (CPP/QPP) and the Old Age Security program including the Guaranteed Income Supplement (OAS/GIS). Revenues from Current transfers received - others, relate to all other current transfers received not included in Current transfers received - pensions benefits, that is, it includes current transfers from the government sector except for the Canada and Québec pension plans (CPP/QPP) and from the Old Age Security Program (OAS) and the Guaranteed Income Supplement (GIS). It also includes current transfers from Non-profit institutions serving households (NPISH) and from the non-residents sector. Owner/Renter refers to the housing tenure of a household. Households that have subsidized rents (partially or fully) are included under Renter. Distributions by generation are defined as follows and are based on the birth year of the major income earner : pre-1946 for those born before 1946, baby boom for those born between 1946 and 1964, generation X for those born between 1965 and 1980 and millennials for those born after 1980. Note that generation Z has been combined with the millennial generation as their sample size is relatively small. Distribution of value" is the share of a component of income Value per consumption unit reflects the Statistics value" divided by the number of consumption units

  14. f

    Results from logistic two-level growth model (1) and hierarchical...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Mayilee Canizares; Sheilah Hogg-Johnson; Monique A. M. Gignac; Richard H. Glazier; Elizabeth M. Badley (2023). Results from logistic two-level growth model (1) and hierarchical age-period-cohort models (2–4) for CAM use. [Dataset]. http://doi.org/10.1371/journal.pone.0177307.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Mayilee Canizares; Sheilah Hogg-Johnson; Monique A. M. Gignac; Richard H. Glazier; Elizabeth M. Badley
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Canadian National Population Health Survey, 1994–2011.

  15. e

    Boomers and Beyond: Intergenerational Consumption and the Mature...

    • b2find.eudat.eu
    Updated Jun 7, 2023
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    (2023). Boomers and Beyond: Intergenerational Consumption and the Mature Imagination, 2006 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/509fa8c9-a79f-5ea0-aa4a-aec0953f96b5
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    Dataset updated
    Jun 7, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner. This is a mixed methods data collection. The Boomers and Beyond: Intergenerational Consumption and the Mature Imagination project focused on the consumption practices of the first wave 'baby boom' generation (born 1945-1954). This group, representing 17% of the UK population, began their life at a time of austerity but entered adulthood during a period of relative prosperity, experiencing major changes over their life course. Previous research has viewed 'boomers' as having experiences that set them apart from previous generations. This research project provided an account of the lives of the boomer generation, examining the role of consumption in changing traditional approaches to adult ageing. Phase One of the research comprised semi-structured interviews conducted with 150 respondents born between 1945 and 1954, resident in the Greater Manchester area (115 of these transcripts are included in this collection). For Phase Two, further in-depth interviews were conducted with 30 respondents from the phase one group, based on open-ended questions derived from initial analysis of the structured interviews. A quantitative data file covering respondents' demographic characteristics is also included. Further information about the study methodology may be found in the study user guide. The study objectives were to:collect a new body of information on continuity/discontinuity in consumption patterns across the life course contribute to the development of research methods comparing social discourse/mid-life with personal experience/biographical narrativedevelop a particular theory around the material cultures for midlife and generational patterns of consumptioncontribute to national/international policy debatesFurther information can be found on the ESRC project award page and the Cultures of Consumption: Boomers and Beyond project web page. Main Topics: Topics covered in the Phase One interviews included:background and demographic information, such as age, gender, employment status, occupation, marital status, household information and income, and parents' occupations and income interests and activities, group membership, charitable donationsbodies and health, including physical wellbeing and care of appearancespending habits and finances, including household, leisure and clothing expenditureviews about age, including life course patterns, changes in spending habits, differences between respondents and previous/next generations, advantages/disadvantages to age, middle age, and awareness of the term 'baby boomer'Topics covered in the Phase One interviews included: The quantitative data file includes demographic and household characteristics and derived variables covering occupation, social class and other details.

  16. U.S. wealth distribution 1990-2024, by generation

    • statista.com
    Updated Aug 26, 2024
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    Statista (2024). U.S. wealth distribution 1990-2024, by generation [Dataset]. https://www.statista.com/statistics/1376622/wealth-distribution-for-the-us-generation/
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    Dataset updated
    Aug 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the first quarter of 2024, 51.8 percent of the total wealth in the United States was owned by members of the baby boomer generation. In comparison, millennials own around 9.4 percent of total wealth in the U.S. In terms of population distribution, there is almost an equal share of millennials and baby boomers in the United States.

  17. Baby boomers' preferred channels to be contacted by brands 2022

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Baby boomers' preferred channels to be contacted by brands 2022 [Dataset]. https://www.statista.com/statistics/1338350/baby-channel-contact-brands-usa/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2022
    Area covered
    United States
    Description

    During a 2022 survey carried out among consumers from the boomer generation from the United States, ** percent stated they would prefer brands to contact them via social media. The email was the most popular contact channel in this age group, named by ** percent of interviewees.

  18. c

    Senior Living Market is Growing at a CAGR of 10.20% from 2024 to 2031.

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jun 15, 2025
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    Cognitive Market Research (2025). Senior Living Market is Growing at a CAGR of 10.20% from 2024 to 2031. [Dataset]. https://www.cognitivemarketresearch.com/senior-living-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global senior living market will be worth USD XX million in 2024 and expand at a compound annual growth rate (CAGR) of 10.20% from 2024 to 2031.

    North America held the major market of more than 30% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.4% from 2024 to 2031.
    Europe accounted for over 25% of the global market size of USD XX million.
    Asia Pacific held a market of around 36% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.2% from 2024 to 2031.
    Latin America's market will have more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.6% from 2024 to 2031.
    Middle East and Africa held the major market of around 4.00% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.9% from 2024 to 2031.
    Assisted living held the highest Senior Living market revenue share in 2024.
    

    Market Dynamics of Senior Living Market

    Key Drivers of Senior Living Market

    Increasing Demand for Senior Healthcare and Active Lifestyle to Propel the Growth
    

    The increasing demand for senior healthcare is expected to boost the global senior living market significantly. As the global population ages, driven primarily by the aging baby boomer generation and improving healthcare, there is a growing need for specialized housing and healthcare services tailored to seniors. Further, medical technology and treatments have enabled seniors to live longer and healthier lives, increasing the demand for senior living options that provide access to high-quality healthcare and rehabilitation services.

    Additionally, the preference for active lifestyles among seniors has led to a demand for senior living communities that offer a wide range of amenities, including fitness centers, recreational activities, and social engagement opportunities. Also, the COVID-19 pandemic has highlighted the importance of infection control and healthcare infrastructure in senior living communities, driving the need for innovative solutions and technologies to ensure the safety and well-being of residents.

    Generally, the increasing demand for senior healthcare, coupled with evolving consumer preferences and regulatory changes, is expected to drive significant growth in the global senior living market in the coming years.

    Aging Baby Boomer Population to Propel Market Growth
    

    The aging baby boomer population is poised to drive substantial growth in the senior living market. As baby boomers age, there is an increasing need for specialized housing, healthcare services, and amenities tailored to their unique needs and preferences. This includes a growing demand for independent living communities, assisted living facilities, memory care units, and skilled nursing facilities. These accommodations offer varying levels of support and care, allowing seniors to maintain their independence while receiving assistance with daily activities or healthcare needs as necessary.

    Furthermore, the absolute size of the baby boomer cohort means that their transition into older age is driving extraordinary demand for senior living options. This demand is not only for housing and healthcare but also for social engagement, recreational activities, and wellness programs designed to promote healthy aging and quality of life.

    Moreover, the aging baby boomer population is influencing the development of innovative senior living solutions, including technology-enabled care, age-friendly design features, and personalized services to meet this demographic's diverse needs. The aging baby boomer population largely represents a significant driver of market growth in the senior living sector, shaping the demand for a wide range of housing, care, and lifestyle options for older adults.

    Restraint Factors of Senior Living Market

    Low Life Savings of Baby Boomers to Impede the Growth
    

    The low life savings of baby boomers could pose a challenge to the growth of the senior living market. While the aging baby boomer population represents a significant demographic segment driving demand for senior living options, their financial preparedness for retir...

  19. F

    Not in Labor Force - With No Disability, 65 Years and over

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
    + more versions
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    (2025). Not in Labor Force - With No Disability, 65 Years and over [Dataset]. https://fred.stlouisfed.org/series/LNU05075379
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    jsonAvailable download formats
    Dataset updated
    Aug 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Not in Labor Force - With No Disability, 65 Years and over (LNU05075379) from Jun 2008 to Jul 2025 about 65 years +, disability, labor force, labor, household survey, and USA.

  20. g

    Age Discrimination, an Audit Study: 2002-2003 in Boston, Massachusetts, and...

    • search.gesis.org
    Updated May 7, 2021
    + more versions
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    ICPSR - Interuniversity Consortium for Political and Social Research (2021). Age Discrimination, an Audit Study: 2002-2003 in Boston, Massachusetts, and St. Petersburg, Florida - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR23980
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    Dataset updated
    May 7, 2021
    Dataset provided by
    GESIS search
    ICPSR - Interuniversity Consortium for Political and Social Research
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de447829https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de447829

    Area covered
    St. Petersburg, Florida, Boston, Massachusetts
    Description

    Abstract (en): As baby boomers reach retirement age, demographic pressures on public programs may cause policy makers to cut benefits and encourage employment at later ages. But how much demand exists for older workers? This study focuses on a field experiment to determine hiring conditions for women ages 35 to 62 in entry-level or close to entry-level jobs in Boston, Massachusetts and St. Petersburg, Florida. Pairs of computer-randomized resumes were sent to employers in these two cities. Response rates were measured by age, as indicated on each resume by date of high school graduation. Applicants' working history, job choice, certifications, volunteer experience as well as their education and age have been evaluated in this study. Other questions focused on job advertisement and interviewing process. none ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. Response Rates: Massachusetts: 10.3 percent any response, Florida: 11.67 percent any response Firms in the greater Boston, Massachusetts, and St. Petersburg, Florida, areas that advertised for entry-level employment positions between February 2002 and February 2003. Smallest Geographic Unit: state For sampling information, please see: Lahey, Joanna N. "Age, Women, and Hiring: An Experimental Study." Journal of Human Resources 43.1 (2008): 30-56. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (T32-AG00186). National Science Foundation (2387480). mixed modeFor contextual information about the variables in the data collection, please see: Lahey, Joanna N. "Age, Women, and Hiring: An Experimental Study." Journal of Human Resources 43.1 (2008): 30-56.

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Statista (2024). Baby Boomer population UK 2023, by age and gender [Dataset]. https://www.statista.com/statistics/1394832/uk-baby-boomer-population/
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Baby Boomer population UK 2023, by age and gender

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Dataset updated
Oct 24, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United Kingdom
Description

As of 2023, there were approximately 13.57 million members of the Baby Boomer generation in the United Kingdom, ranging from the ages of 59 to 77. The most-common single year of age for Baby Boomers in this year was 59, at 915,735, while there were 521,896 who were 77, the least common year of age.

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