5 datasets found
  1. U.S. population by generation 2023

    • statista.com
    Updated Aug 6, 2024
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    Statista (2024). U.S. population by generation 2023 [Dataset]. https://www.statista.com/statistics/797321/us-population-by-generation/
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    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Millennials were the largest generation group in the U.S. in 2023, with an estimated population of 72.7 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. However, the group already makes up around 42.75 percent of the U.S. population, and they are said to be the most racially and ethnically diverse of all the generation groups, with the oldest Generation Alpha members aging into adolescents this year. 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 seven 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.

  2. i

    Migration Household Survey 2009 - Nigeria

    • catalog.ihsn.org
    • dev.ihsn.org
    • +2more
    Updated Mar 29, 2019
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    Zibah Consults Limited (2019). Migration Household Survey 2009 - Nigeria [Dataset]. https://catalog.ihsn.org/catalog/865
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Zibah Consults Limited
    Time period covered
    2009
    Area covered
    Nigeria
    Description

    Geographic coverage

    National

    Analysis unit

    • Household
    • Individual

    Universe

    18 of the 37 states in Nigeria were selected using procedures described in the methodology report

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    A. Sampling Frame The sampling frame was the 2006 National Population Census. For administrative purposes, Nigeria has 36 states and the Federal Capital Territory. These states are grouped into six geopolitical zones - the North Central, North East, North West, South East, South South and South West. The states in turn are divided into 776 Local Governments. The demographic and political characteristics of the states vary considerably. For example, the number of component local government areas in the states ranges from 8 in Bayelsa State (in the South South) to 44 in Kano State (in the North West). Likewise state populations vary widely from 1.41 million in the Abuja Federal Capital Territory to 9.38 million in Kano State. The National Bureau of Statistics splits the country further into 23, 070 enumeration areas (EAs). While the enumeration areas are equally distributed across the local government areas, with each local government area having 30 enumeration areas, the differences in the number of local government areas across states implies that there are also huge differences in the number of enumeration areas across states. Appendix table 1 summarizes the population according to the 2006 population census (in absolute and proportionate numbers), number of local government areas, and number of enumeration areas in each state .

    Given the above, a stratified random sampling technique was thought to be needed to select areas according to population and the expected prevalence of migrants. The National Bureau of Statistics (NBS) provided a randomly selected set of enumeration areas and households spread across all states in the Federation from the 2006 sampling frame. Every state in Nigeria has three senatorial zones (often referred to as North, Central and South or East, Central and West). The NBS sample enumeration areas were distributed such that within each state, local government areas from each senatorial zones were included in the sample, with Local Governments in each state nearly evenly distributed between rural and urban areas. In all, a total of 3188 enumeration areas were selected. These enumeration areas were unevenly spread across States; some states in the North West (Kano, Katsina, and Jigawa), and a few in the South South (Akwa Ibom and Delta) had over 100 enumeration areas selected while others such as Imo and Abia in the South East, and Borno, Gombe and Taraba in the North East, had as few as 20 enumeration areas selected. This selection partially reflected the relative population distribution and number of Local Government Areas in the component states. Annex Table B shows details of the states and geopolitical regions, their shares in population of the country, the number of Local Government Areas and enumeration areas in each state and the number of enumeration areas given in the NBS list that formed the frame for the study.

    B. The Sample for the Migration Survey

    a. Sample Selection of States, Local Governments and Enumeration Areas Originally, the intention was to have proportionate allocation across all states, using the population of each state in the 2006 Census to select the number of households to be included in the sample. But it was later recognized that this would not yield enough migrant households, particularly those with international migrants, especially as the total number of households that could likely be covered in the sample to was limited to 2000. Consequently, a disproportionate sampling approach was adopted, with the aim of oversampling areas of the country with more migrants. According to Bilsborrow (2006), this approach becomes necessary because migrants are rare populations for which a distinct disproportionate sampling procedure is needed to ensure they are adequately captured. Given the relative rareness of households with out-migrants to international destinations within the 10 year reference period (selected by the World Bank for all countries) prior to the planned survey, sampling methods appropriate for sampling rare elements were desirable, specifically, stratified sampling with two-phase sampling at the last stage.

    Establishing the strata would require that there be previous work, say from the most recent Census, to determine migration incidence among the states. However, the needed census data could not be obtained from either the National Bureau of Statistics or the National Population Commission. Therefore, the stratification procedure had to rely on available literature, particularly Hernandez-Coss and Bun (2007), Agu (2009) and a few other recent, smaller studies on migration and remittances in Nigeria. Information from this literature was supplemented by expert judgement about migration from team members who had worked on economic surveys in Nigeria in the past. Information from the literature and the expert assessment indicated that migration from households is considerably higher in the South than in the North. Following this understanding, the states were formed into two strata- those with high and those with low incidence of migration. In all, 18 States (16 in the South and 2 in the North) were put into the high migration incidence stratum while 19 states (18 in the North and 1 in the South) were classified l into the low migration incidence stratum (column C of Appendix Table 1).

    The Aggregate population of the 18 states in the high migration incidence stratum was 67.04 million, spread across 10,850 Enumeration areas. Thus, the mean population of an EA in the high migration stratum was 6179. In turn, the aggregate population of the 19 states in the low migration incidence stratum was 72.95 million spread across 12,110 EAs yielding a mean EA population of 6024. These numbers were close enough to assume the mean population of EAs was essentially the same. To oversample states in the high stratum, it was decided to select twice as high a proportion of the states as in the low stratum. To further concentrate the sample and make field work more efficient in being oriented to EAs more likely to have international migrants, we decided to select randomly twice as many LGAs in each state in the high stratum states as in the low stratum states.

    Thus, 12 states were randomly selected with probabilities of selection proportionate to the population size of each state (so states with larger populations were accordingly more likely to fall in the sample) from the high stratum states. Then two LGAs were randomly selected from each sample state and 2 EAs per sample LGA (one urban, one rural) to yield a total of 12 x 2 x 2 or 48 EAs in the high stratum states. For the low stratum, 6 states were randomly selected. From each of these, 1 LGA was randomly picked and 2 EAs were selected per sample LGA to give a total of 6 x 1 x 2 or 12 EAs in the low stratum. This yielded a total of 60 EAs for both strata. Given the expected range of 2000 households to be sampled, approximately 67 households were to be sampled from each local government area or 34 households from each enumeration area.

    So far, the discussion has assumed two groups of households - migrant and non-migrant households. However, the study was interested in not just lumping all migrants together, but rather in classifying migrants according to whether their destination was within or outside the country. Migrant households were thus subdivided into those with former household members who were international migrants and those with former household members who were internal migrants. Three strata of households were therefore required, namely:

    1. Households with an international migrant: at least one person who was a member of the household since Jan. 1, 2000 left to live in an international destination and has remained abroad;
    2. Households with an internal migrant: at least one person who was a member of the household since Jan. 1, 2000 left to live elsewhere in Nigeria (outside the sample LGA) and has not returned to the LGA; and
    3. Households with no migrant: No member of the household has left to live elsewhere either within or outside the country since Jan. 1, 2000.

    The selection of states to be included in the sample from both strata was based on Probabilities of Selection Proportional to (Estimated) Size or PPES. The population in each stratum was cumulated and systematic sampling was performed, with an interval of 12.16 million for the low stratum (72.95 million divided by 6 States), and 5.59 million for the high stratum (67.04 million divided by 12 States). This yields approximately double the rate of sampling in the high migration stratum, as earlier explained. Using a random start between 0 and 12.16, the following states were sampled in the low stratum: Niger, Bauchi, Yobe, Kano, Katsina, and Zamfara. In the high stratum, states sampled were Abia, Ebonyi, Imo, Akwa Ibom, Delta, Edo, Rivers, Lagos, Ondo, Osun and Oyo. Given its large population size, Lagos fell into the sample twice. The final sample, with LGAs and EAs moving from North to South (i.e. from the low to the high stratum states) is presented in Table 1 below.

    The sample was concentrated in the South since that is where it was expected that more households have international migrants. It was expected that the survey would still also be reasonably representative of the whole country and of both internal migrant and non-migrant households through weighting the data. To this effect, field teams were asked to keep careful track at all stages of the numbers of people and households listed compared to the number in the

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

    • statista.com
    • wwwexpressvpn.online
    Updated Apr 29, 2024
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    Statista (2024). Instagram: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/statistics/248769/age-distribution-of-worldwide-instagram-users/
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    Dataset updated
    Apr 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2024
    Area covered
    Worldwide
    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.

  4. Vidhan Sabha election votes share in Uttar Pradesh, India - by political...

    • statista.com
    Updated Sep 12, 2022
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    Statista (2022). Vidhan Sabha election votes share in Uttar Pradesh, India - by political party 2017 [Dataset]. https://www.statista.com/statistics/702717/uttar-pradesh-legislative-assembly-election-vote-share-by-political-party-india/
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    Dataset updated
    Sep 12, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2017 - Mar 2017
    Area covered
    India
    Description

    The Bhartiya Janata Party won the Vidhan Sabha election in Uttar Pradesh with the largest share of votes reaching almost 40 percent of the total votes. In India, the state legislative assembly is known as the Vidhan Sabha and comprises of members elected directly by the people of the state through procedural elections. Through these elections, the positions of the state’s Chief Minister, the Council of Ministers and a certain number of ministers of Legislative Assembly are elected. However, the exact number of these elected representatives differs from state to state, depending on the population of the respective state.

    Why U.P. matters

    Uttar Pradesh is India’s largest state, with a population density of over 829 people per square kilometer, and was considered the heartland of the Hindi-speaking belt in the country. About 80 of the 543 parliamentary seats are reserved for elected representatives from this state. This was for this largest state, out of the other 27 states and nine union territories, making it a pivotal game-changer for the country’s political stage.

    Electoral power

    In the 2019 general assembly elections , Uttar Pradesh had over 14 million electors registered to vote, and the voter turnout was estimated to be around 62 percent. Just like the landslide victory in the 2017 Legislative Assembly elections in the state, the Bharatiya Janata Party won by a heavy margin in the 2019 elections as well.

  5. U.S. party identification 2023, by age

    • statista.com
    Updated Aug 7, 2024
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    Statista (2024). U.S. party identification 2023, by age [Dataset]. https://www.statista.com/statistics/319068/party-identification-in-the-united-states-by-generation/
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    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 7, 2023 - Aug 27, 2023
    Area covered
    United States
    Description

    According to a 2023 survey, Americans between 18 and 29 years of age were more likely to identify with the Democratic Party than any other surveyed age group. While 39 percent identified as Democrats, only 14 percent identified ad Republicans. However, those 50 and older identified more with the Republican Party.

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    Learn how you can add new datasets to our index.

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Statista (2024). U.S. population by generation 2023 [Dataset]. https://www.statista.com/statistics/797321/us-population-by-generation/
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U.S. population by generation 2023

Explore at:
80 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 6, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

Millennials were the largest generation group in the U.S. in 2023, with an estimated population of 72.7 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. However, the group already makes up around 42.75 percent of the U.S. population, and they are said to be the most racially and ethnically diverse of all the generation groups, with the oldest Generation Alpha members aging into adolescents this year. 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 seven 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.

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