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.

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?

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 app highlights the predominant generations that make up the population of the United States, using country to block group geographies that vary according to zoom level. The map, which was featured in Esri's Living Atlas gallery, forms the basis of an analysis of travel agency locations to determine the best one for launching luxury travel services to baby boomers. Use the Bookmarks tool to see the predominant generations in the census tract areas in and around Los Angeles, Chicago, and Washington, D.C. Click individual census tracts on the map to see pop-up information, including the population of each generation in a given census tract.This app was created for instructional purposes only and should not be used as an authoritative resource.

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

Utilizing Esri Updated Demographics Categories (boundaries from the 2020 U.S. Census Bureau Data). This layer was created using Esri's Enrich tool to display some of the categories below at a Block Group level for Idaho. Esri Updated Demographics categories include the following:PopulationAge—By Generations, Age Dependency RatiosRace and Ethnicity—Diversity IndexSchool-Educational attainmentWork—Labor Force, Economic Dependency RatiosIncome—Total Income, Income by AgeHouseholds—Total Households, Tenure, FamiliesFamiliesHousing and Wealth—Total Housing Units, Housing Affordability Index, Percent of Income for Mortgage, Wealth Index, Contract RentHistorical Time Series—Population, Households, and Housing Units for each year between 2010 and current yearMethodology 2023/2028 Demographics2023-2028 Data Catalog

Utilizing Esri Updated Demographics Categories (boundaries from the 2020 U.S. Census Bureau Data). This layer was created using Esri's Enrich tool to display some of the categories below at a Block Group level for Idaho. Esri Updated Demographics categories include the following:PopulationAge—By Generations, Age Dependency RatiosRace and Ethnicity—Diversity IndexSchool-Educational attainmentWork—Labor Force, Economic Dependency RatiosIncome—Total Income, Income by AgeHouseholds—Total Households, Tenure, FamiliesFamiliesHousing and Wealth—Total Housing Units, Housing Affordability Index, Percent of Income for Mortgage, Wealth Index, Contract RentHistorical Time Series—Population, Households, and Housing Units for each year between 2010 and current yearMethodology 2023/2028 Demographics2023-2028 Data Catalog

Utilizing Esri Updated Demographics Categories (boundaries from the 2020 U.S. Census Bureau Data). This layer was created using Esri's Enrich tool to display some of the categories below at a city level for Idaho. Esri Updated Demographics categories include the following:PopulationAge—By Generations, Age Dependency RatiosRace and Ethnicity—Diversity IndexSchool-Educational attainmentWork—Labor Force, Economic Dependency RatiosIncome—Total Income, Income by AgeHouseholds—Total Households, Tenure, FamiliesFamiliesHousing and Wealth—Total Housing Units, Housing Affordability Index, Percent of Income for Mortgage, Wealth Index, Contract RentHistorical Time Series—Population, Households, and Housing Units for each year between 2010 and current yearMethodology 2023/2028 Demographics2023-2028 Data Catalog

In 2023, about 17.7 percent of the American population was 65 years old or over; an increase from the last few years and a figure which is expected to reach 22.8 percent by 2050. This is a significant increase from 1950, when only eight percent of the population was 65 or over. A rapidly aging population In recent years, the aging population of the United States has come into focus as a cause for concern, as the nature of work and retirement is expected to change to keep up. If a population is expected to live longer than the generations before, the economy will have to change as well to fulfill the needs of the citizens. In addition, the birth rate in the U.S. has been falling over the last 20 years, meaning that there are not as many young people to replace the individuals leaving the workforce. The future population It’s not only the American population that is aging -- the global population is, too. By 2025, the median age of the global workforce is expected to be 39.6 years, up from 33.8 years in 1990. Additionally, it is projected that there will be over three million people worldwide aged 100 years and over by 2050.

Context

The Monthly State Retail Sales (MSRS) is the Census Bureau's new experimental data product featuring modeled state-level retail sales. This is a blended data product using Monthly Retail Trade Survey data, administrative data, and third-party data. Year-over-year percentage changes are available for Total Retail Sales excluding Non-store Retailers as well as 11 retail North American Industry Classification System (NAICS) retail subsectors. These data are provided by state and NAICS codes beginning with January 2019.

Content

Geography: US

Time period: 2019 - 2022

Unit of analysis: US Census Bureau's Monthly State Retail Sales Data

Variables

Acknowledgements

Datasource: United States Census Bureau's Monthly State Retail Sales

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F51529449c5ea6477431748f5c1b8a83f%2Fpic1.png?generation=1720540453192512&alt=media" alt="">

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F831d14b5312bdda036b66793c4ed6944%2Fpic2.png?generation=1720540466019416&alt=media" alt="">

Graph and download economic data for Total Revenue for Electric Power Generation, Transmission, and Distribution, Establishments Subject to Federal Income Tax, Employer Firms (REVEF2211TAXABL) from 2009 to 2022 about power transmission, distributive, employer firms, accounting, revenue, electricity, establishments, tax, services, and USA.

81 percent of the Silent generation were married between the age of 23 and 38. This is true for only 44 percent of Millennials.

Downloadable data sets of aviation accident data are available for public use. Data sets for 1962 through 1981 (see the PRE1982.zip file) and from 1982 to the present (see the avall.zip file) ​are available for download.​Coding manuals, data definitions, and other metadata for different generations of the census are also available for download​.

Graph and download economic data for Expenses for Electric Power Generation, Transmission and Distribution, Establishments Subject To Federal Income Tax, Employer Firms (EPGTADEESTF32211) from 2009 to 2022 about power transmission, distributive, employer firms, electricity, establishments, tax, expenditures, federal, income, and USA.

Purpose: The goal of the current study is to analyze the substance use trends in Generation Z youth (in both middle and high school environments) and to determine if any correlation exists between substance use behaviors and demographic variables. Methods: Analysis is based on substance use data collected through the Pennsylvania Youth Survey (PAYS) from 2009 to 2017 and the 2016 US census data. Results: Our results suggest that substance use in Gen Z adolescents is mainly linked to alcohol, marijuana, cigarettes, smokeless tobacco, vaping, and narcotic prescription drugs. Alcohol is the most prevalent high-risk substance used by 12th grade students with 69.8% of students having consumed alcohol over their lifetime. Vaping is the next highly used substance with 28.9% of students in 12th grade having vaped 30 day prior to the survey. There is a significant correlation among adolescents between smoking cigarettes and using smokeless tobacco. A student using either alcohol, cigarettes or smokeless tobacco is highly likely to use the other two substances as well. Adolescents from counties with a high Caucasian population were at high risk for cigarette and smokeless tobacco use, while the opposite held true for counties with a high number of foreign-born persons or higher Asian or Hispanic populations. Higher median household incomes and higher adult education levels in a county were both protective factors against smokeless tobacco use. Conclusions: Results of the study suggest that students start experimenting with high-risk substance use in early grades and to combat the prevalence, we suggest the importance of educating adolescents of the dangers of drug use in early grades.

The typical American picture of a family with 2.5 kids might not be as relevant as it once was: In 2023, there was an average of 1.94 children under 18 per family in the United States. This is a decrease from 2.33 children under 18 per family in 1960.

Familial structure in the United States

If there’s one thing the United States is known for, it’s diversity. Whether this is diversity in ethnicity, culture, or family structure, there is something for everyone in the U.S. Two-parent households in the U.S. are declining, and the number of families with no children are increasing. The number of families with children has stayed more or less constant since 2000.

Adoptions in the U.S.

Families in the U.S. don’t necessarily consist of parents and their own biological children. In 2021, around 35,940 children were adopted by married couples, and 13,307 children were adopted by single women.

Graph and download economic data for Total Revenue for Electric Power Generation, Transmission and Distribution, Establishments Subject to Federal Income Tax (REV2211TAXABL157QNSA) from Q2 2010 to Q1 2025 about power transmission, distributive, revenue, electricity, establishments, tax, federal, income, rate, and USA.

Graph and download economic data for Total Revenue for Electric Power Generation, Transmission and Distribution, Establishments Subject to Federal Income Tax (REV2211TAXABL144QNSA) from Q1 2010 to Q1 2025 about power transmission, distributive, revenue, electricity, establishments, tax, federal, income, and USA.

This submission includes publicly available data extracted in its original form. If you have questions about the underlying data stored here, please contact NTSB at data@ntsb.gov or safti@ntsb.gov. If you have questions or recommendations related to this metadata entry and extracted data, please contact the CAFE Data Management team at: climatecafe@bu.edu. Downloadable data sets of aviation accident data are available for public use. Data sets for 1962 through 1981 (see the PRE1982.zip file) and from 1982 to the present (see the avall.zip file) ​are available for download. Coding manuals, data definitions, and other metadata for different generations of the census are also available for download​. ​A monthly list of aviation accidents​ is also available. A daily and pending aviation publication report is available for viewing. QUOTED FROM: https://www.ntsb.gov/safety/data/Pages/Data_Stats.aspx