48 datasets found
  1. d

    Student Marketing Data | USA Coverage | Millennial and Gen Z Contact Data

    • datarade.ai
    .csv
    Updated Apr 27, 2023
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    BIGDBM (2023). Student Marketing Data | USA Coverage | Millennial and Gen Z Contact Data [Dataset]. https://datarade.ai/data-products/bigdbm-3rd-party-us-consumer-millennial-and-gen-z-package-bigdbm
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    .csvAvailable download formats
    Dataset updated
    Apr 27, 2023
    Dataset authored and provided by
    BIGDBM
    Area covered
    United States
    Description

    Demographic and PII data (including emails, phone numbers, and addresses) for the US Millennial and Gen Z population segments. Fully opt-in and CCPA compliant (direct submission from the individuals). 30 million+ population.

    High success and conversion rates for direct marketing, targeted ads, identity verification, and demographic research.

    This data can be merged into the BIGDBM Consumer dataset or have specific data fields appended from the BIGDBM Consumer dataset.

    BIGDBM Privacy Policy: https://bigdbm.com/privacy.html

  2. U.S. population by generation 2024

    • statista.com
    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.

  3. Global estimated population 2024-2030, by generation

    • statista.com
    Updated Jul 21, 2025
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    Statista (2025). Global estimated population 2024-2030, by generation [Dataset]. https://www.statista.com/statistics/1607121/estimated-population-of-the-world-by-generation/
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    Dataset updated
    Jul 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    World
    Description

    In 2024, Generation Z represented **** percent of the global population, making them the largest generation group in the world, according to the source. In 2030, Millennials were forecast to represent **** percent of the population worldwide.

  4. H

    AGE OF TRANSITION: COMPETITIVENESS OF GEN Z IN INDONESIA

    • dataverse.harvard.edu
    • search.dataone.org
    Updated May 25, 2022
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    Adhi Cahya Fahadayna; AGUNG SUGENG WIDODO, ST. MT., PHD; ISMA ADILA, S.I.KOM, M.A; Adam Hendra Brata, S.Kom., M.T., M.Sc.; MIKCHAELL ALFANOV PARDAMEAN P., S.PI., MP (2022). AGE OF TRANSITION: COMPETITIVENESS OF GEN Z IN INDONESIA [Dataset]. http://doi.org/10.7910/DVN/2ANOWQ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 25, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Adhi Cahya Fahadayna; AGUNG SUGENG WIDODO, ST. MT., PHD; ISMA ADILA, S.I.KOM, M.A; Adam Hendra Brata, S.Kom., M.T., M.Sc.; MIKCHAELL ALFANOV PARDAMEAN P., S.PI., MP
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Indonesia
    Description

    Globalization has made human mobility high and the employment sector in a tight competition. In this era of globalization, all workers from various countries can find the same point of competition, Indonesia is no exception. Indonesia has a high population surplus and Indonesia also has a population dominated by productive generations. However, the era of globalization also brings a quite worrying impact, namely in the age of free competition. With the implementation of free trade cooperation, many foreign workers must be allowed to work in Indonesia and compete freely with workers from Indonesia. Competitiveness is crucial to keep Indonesian workers have a sense of competitiveness with workers from other countries (Ernst & Haar, 2019). The purpose of this study is to determine the competitiveness of Generation Z in the face of a free work competition in the disruptive era by identifying some main ideas about preparing and equipping Generation Z in developing portfolios and skills needed by the world of work. This research will use two option methods. The first method is a quantitative paradigm by using a questionnaire as a tool to determine the respondent's perspective with some questions. The second method is a qualitative paradigm by using a focus group discussion to describe a detail of the phenomenon to be analyzed comprehensively.

  5. a

    State

    • broward-county-demographics-bcgis.hub.arcgis.com
    Updated Oct 28, 2022
    + more versions
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    Broward County GIS (2022). State [Dataset]. https://broward-county-demographics-bcgis.hub.arcgis.com/datasets/9247acf3ca304dd0954f98a8ea60d91e
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    Dataset updated
    Oct 28, 2022
    Dataset authored and provided by
    Broward County GIS
    Area covered
    Description

    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.

  6. Share of population in Indonesia 2020, by generation

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Share of population in Indonesia 2020, by generation [Dataset]. https://www.statista.com/statistics/1220642/indonesia-share-of-population-by-generation/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Indonesia
    Description

    Based on the latest population census data in 2020, **** percent of Indonesians belonged to the millennial generation. With this age structure, Indonesia has a relatively young population, and it is expected to have a faster rate of development in the next years.

  7. f

    Data from: Relationship between Substance Use and Socioeconomic Variables in...

    • tandf.figshare.com
    xlsx
    Updated Jun 1, 2023
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    Vishal Shah; Jacob Watson (2023). Relationship between Substance Use and Socioeconomic Variables in Pennsylvania Adolescents: 2009–2017 [Dataset]. http://doi.org/10.6084/m9.figshare.12382274.v2
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    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Vishal Shah; Jacob Watson
    License

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

    Area covered
    Pennsylvania
    Description

    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.

  8. s

    Social Media Usage By Age

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Usage By Age [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    Gen Z and Millennials are the biggest social media users of all age groups.

  9. m

    Design of an Escape Room Themed Board Game "Sea Expedition: The Mystery of...

    • data.mendeley.com
    Updated Jun 10, 2025
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    Jessica Setiawan (2025). Design of an Escape Room Themed Board Game "Sea Expedition: The Mystery of SS Ourang Medan" as a Media for Self-Development for Generation Z [Dataset]. http://doi.org/10.17632/hcb9wftxr2.3
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    Dataset updated
    Jun 10, 2025
    Authors
    Jessica Setiawan
    License

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

    Description

    Since 2015, Indonesia has experienced a demographic bonus. The demographic bonus is a condition in which the productive age population (15-64 years) has a larger percentage compared to the non-productive age population (>64 years). In this range, Generation Z is the dominant generation. Uniquely, Generation Z is a generation that is very different from the previous generation because it was introduced to technology earlier. This has positive and negative impacts. The negative impacts include becoming individualistic and selfish, having difficulty focusing, and not liking normative things. These things need to be fixed to maximize the peak period of the demographic bonus. However, conventional learning is not an effective way. Therefore, the author chose to design an escape room-themed board game where the benefits of the escape room itself are directly proportional to the goals to be achieved from the existing problems. The author used a qualitative-descriptive method with a design thinking approach in this design. Based on the results of the distributed questionnaire, it was found that Generation Z realized they had shortcomings that needed fixing but did not understand how to fix them. So designing this board game is the right choice. Previous research has also stated that board games are a good learning option to increase students' interest in learning something. It is hoped that the design of this board game can help Generation Z's self-development in a fun way so that they can develop themselves and maximize Generation Z's performance during the demographic bonus period in Indonesia.

  10. Income of individuals by age group, sex and income source, Canada, provinces...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    Updated May 1, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas [Dataset]. http://doi.org/10.25318/1110023901-eng
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

  11. U.S. mean disposable household income 2023, by generation

    • statista.com
    Updated May 15, 2025
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    Abigail Tierney (2025). U.S. mean disposable household income 2023, by generation [Dataset]. https://www.statista.com/topics/9997/generation-z-fashion-in-the-united-states/
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    Dataset updated
    May 15, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Description

    In 2023, the disposable income of a household led by a Millennial in the United States was 97,866 U.S. dollars per year. Households led by someone born in Generation X, however, had a disposable income of around 113,886 U.S. dollars in 2023.

  12. a

    ACS Population Variables - Boundaries- Broward County

    • broward-innovation-citizen-portal-bcgis.hub.arcgis.com
    • hub.arcgis.com
    Updated Aug 31, 2022
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    Broward County GIS (2022). ACS Population Variables - Boundaries- Broward County [Dataset]. https://broward-innovation-citizen-portal-bcgis.hub.arcgis.com/maps/46153fe03c15435384cbb11d6c68462d
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    Dataset updated
    Aug 31, 2022
    Dataset authored and provided by
    Broward County GIS
    Area covered
    Description

    Reference Layer: ACS Population Variables - BoundariesGenerational Age Divisions Calculated from Data:GenZ: 0-24Millennial: 25-39GenX: 40-59Boomer: 60-74Silent: 74+_This layer shows total population count by sex and age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of the population that are considered dependent (ages 65+ and <18). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2016-2020ACS Table(s): B01001Data downloaded from: Census Bureau's API for American Community Survey Date of API call: March 17, 2022National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

  13. Gen Z shoppers discovering and buying on social media 2023-2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Gen Z shoppers discovering and buying on social media 2023-2024 [Dataset]. https://www.statista.com/statistics/1455391/shoppers-social-media-discovery-and-purchase-worldwide/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2024 - Nov 2024
    Area covered
    Worldwide
    Description

    Social media's influence on Gen Z shopping habits has surged dramatically in recent years. A 2024 survey reveals that ** percent of Gen Z consumers discovered new products or brands through social media influencers, up from ** percent in 2023. This shift underscores the growing importance of digital platforms in shaping consumer behavior, particularly among younger demographics. Beauty and personal care e-commerce growth The rising impact of social media on Gen Z purchasing decisions aligns with broader trends in e-commerce, particularly in the beauty and personal care sector. Global revenue in this market is forecast to increase by ***** percent between 2024 and 2029, reaching a new peak of ****** billion U.S. dollars. This growth trajectory suggests that the digital landscape will continue to play a crucial role in consumer discovery and purchasing habits. Payment preferences among young consumers Traditional payment methods remain popular among Zoomers. A survey across North America, Europe, and Latin America found that debit and credit cards are still preferred by Gen Z for online shopping and travel bookings. However, younger consumers are showing a growing demand for diverse payment options, indicating potential shifts in the e-commerce landscape as digital wallets gain prominence, particularly in Asia-Pacific markets.

  14. s

    Social Media Worldwide Usage Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Worldwide Usage Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

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

    Description

    56.8% of the world’s total population is active on social media.

  15. S

    Social Media Addiction Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    Search Logistics (2025). Social Media Addiction Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Search Logistics
    License

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

    Description

    In this post, I'll give you all the social media addiction statistics you need to be aware of to moderate your social media use.

  16. Instagram: distribution of global audiences 2024, by age and gender

    • statista.com
    • es.statista.com
    + more versions
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    Stacy Jo Dixon, Instagram: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

                  Teens and social media
    
                  As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
                  Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.
    
  17. Worldwide digital population 2025

    • statista.com
    Updated Apr 1, 2025
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    Statista (2025). Worldwide digital population 2025 [Dataset]. https://www.statista.com/statistics/617136/digital-population-worldwide/
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    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    World
    Description

    As of February 2025, 5.56 billion individuals worldwide were internet users, which amounted to 67.9 percent of the global population. Of this total, 5.24 billion, or 63.9 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 20254. In The Netherlands, Norway and Saudi Arabia, 99 percent of the population used the internet as of February 2025. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Eastern Asia was home to the largest number of online users worldwide – over 1.34 billion at the latest count. Southern Asia ranked second, with around 1.2 billion internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2024, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in African countries, with around a ten percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller usage gap between these two genders. As of 2024, global internet usage was higher among individuals between 15 and 24 years old across all regions, with young people in Europe representing the most significant usage penetration, 98 percent. In comparison, the worldwide average for the age group 15–24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.

  18. Italian population in 2025, by age group

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Italian population in 2025, by age group [Dataset]. https://www.statista.com/statistics/789270/population-in-italy-by-age-group/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    People aged between ********* years made up the largest age group among the Italian population in 2025, counting around *** million individuals, closely followed by those aged ******** years, who were *** million people. Infants aged up to two years were **** million, the less numerous age category. As these data show, Italy suffers from a deep demographic and natality crisis. The country's population is one of the oldest in the world. In recent years, the share of Italians aged 65 years and over constantly grew, whereas the percentage of younger people declined.

  19. U.S. Facebook data requests from government agencies 2013-2023

    • statista.com
    • es.statista.com
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    Stacy Jo Dixon, U.S. Facebook data requests from government agencies 2013-2023 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    Facebook received 73,390 user data requests from federal agencies and courts in the United States during the second half of 2023. The social network produced some user data in 88.84 percent of requests from U.S. federal authorities. The United States accounts for the largest share of Facebook user data requests worldwide.

  20. Number of people employed in the UK 1992-2022, by generation

    • statista.com
    Updated Jun 26, 2025
    + more versions
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    Statista (2025). Number of people employed in the UK 1992-2022, by generation [Dataset]. https://www.statista.com/statistics/1393584/employment-figures-uk-by-generation/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In 2022, among the working age population of the United Kingdom, there were approximately **** million people employed from the Baby Boomer Generation, followed by **** million Gen X employed, **** million Millennials, and *** million Gen Z.

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BIGDBM (2023). Student Marketing Data | USA Coverage | Millennial and Gen Z Contact Data [Dataset]. https://datarade.ai/data-products/bigdbm-3rd-party-us-consumer-millennial-and-gen-z-package-bigdbm

Student Marketing Data | USA Coverage | Millennial and Gen Z Contact Data

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.csvAvailable download formats
Dataset updated
Apr 27, 2023
Dataset authored and provided by
BIGDBM
Area covered
United States
Description

Demographic and PII data (including emails, phone numbers, and addresses) for the US Millennial and Gen Z population segments. Fully opt-in and CCPA compliant (direct submission from the individuals). 30 million+ population.

High success and conversion rates for direct marketing, targeted ads, identity verification, and demographic research.

This data can be merged into the BIGDBM Consumer dataset or have specific data fields appended from the BIGDBM Consumer dataset.

BIGDBM Privacy Policy: https://bigdbm.com/privacy.html

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