38 datasets found
  1. QuickFacts: King of Prussia CDP, Pennsylvania

    • census.gov
    csv
    Updated Feb 25, 2022
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2022). QuickFacts: King of Prussia CDP, Pennsylvania [Dataset]. https://www.census.gov/quickfacts/fact/faq/kingofprussiacdppennsylvania/HCN010222
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    csvAvailable download formats
    Dataset updated
    Feb 25, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

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

    Area covered
    King of Prussia, Pennsylvania
    Description

    U.S. Census Bureau QuickFacts statistics for King of Prussia CDP, Pennsylvania. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

  2. n

    Kop Census 2011

    • gramvikas.nskmultiservices.in
    Updated Mar 1, 2011
    + more versions
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    (2011). Kop Census 2011 [Dataset]. https://gramvikas.nskmultiservices.in/india/uttar-pradesh/ballia/rasra/kop
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    Dataset updated
    Mar 1, 2011
    License

    https://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdfhttps://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdf

    Time period covered
    2011
    Description

    Comprehensive population and demographic data for Kop Village

  3. Annual buy now, pay later (BNPL) users in the U.S. 2020-2023, by age and...

    • statista.com
    Updated Feb 5, 2025
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    Statista (2025). Annual buy now, pay later (BNPL) users in the U.S. 2020-2023, by age and gender [Dataset]. https://www.statista.com/statistics/1233465/bnpl-user-age-usa/
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    Dataset updated
    Feb 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 19, 2023
    Area covered
    United States
    Description

    BNPL use in the United States declined among all age groups in 2023 for the third successive year. A recurring survey reveals the overall share of respondents who used buy now, pay later decreased by 15 percentage points between June 2022 and July 2023. The decline was highest among younger generations. Over 61 percent of respondents ages 18 to 24 said in 2022 they had used a BNPL service - a figure significantly higher than the almost 38 percent recorded in a previous survey in 2020. By 2023, this penetration rate reached 42 percent. The trends observed here are in contrast with U.S. e-commerce vendors who were planning to add BNPL to their website's payment options in 2022.

    What caused the decline in BNPL use?

    The source does not explain why figures declined between surveys. Cost of living did change online shopping payment behavior in the United States. Credit cards, BNPL, and crypto were all used more often, but neither saw the biggest growth: 51 percent of respondents who changed their payment habits because of the rising cost of living in 2022 are paying online with debit cards more often than they did in the previous year. BNPL was not a popular choice for everyday shopping. Groceries ranked among the least likely product types for which U.S. consumers would use BNPL. The worsening of economic conditions may well prevent the growth of BNPL in 2023 instead of it being a contributing factor.

    An industry under pressure

    BNPL companies face a challenging environment in 2023. Klarna's valuation dropped by 85 percent amidst staff cuts and investor observations the Swedish BNPL provider was not profitable enough. Macroeconomic developments seem to impact the young industry significantly, especially as it is still finding a profit model. Increasing interest rates, especially, puts pressure on these providers. Consequently, Klarna is using generative A.I. as an additional revenue stream. The company is one of 13 that uses a ChatGPT plugin. Artificial intelligence technology helps consumers find curated products based on their search behavior and preferences.

  4. n

    Kop (Gotgudi) Census 2011

    • gramvikas.nskmultiservices.in
    Updated Mar 1, 2011
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    (2011). Kop (Gotgudi) Census 2011 [Dataset]. https://gramvikas.nskmultiservices.in/india/karnataka/uttara-kannada/mundgod/kop-gotgudi
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    Dataset updated
    Mar 1, 2011
    License

    https://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdfhttps://data.gov.in/sites/default/files/Gazette_Notification_OGDL.pdf

    Time period covered
    2011
    Description

    Comprehensive population and demographic data for Kop (Gotgudi) Village

  5. Buy now, pay later (BNPL) use in the U.S. 2024, by age, gender, income, race...

    • statista.com
    + more versions
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    Statista (2025). Buy now, pay later (BNPL) use in the U.S. 2024, by age, gender, income, race [Dataset]. https://www.statista.com/statistics/1421852/bnpl-user-demographics-usa/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    American adults with low or middle income were more likely to use BNPL than adults with higher incomes. This is according to an annual household survey in the United States, that asked about how and why consumers would be using the alternative payment option. ***** percent of respondents who had an income of 100,000 U.S. dollars or more used buy now, pay later. This was noticeably different from all other income levels, where ** percent of respondents said they used BNPL. The source observed major difference between races, with Black and Hispanic users being significantly more common than White or Asian users.

  6. Share of Americans who shopped at Best Buy 2021, by age

    • statista.com
    Updated Apr 3, 2025
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    Statista (2025). Share of Americans who shopped at Best Buy 2021, by age [Dataset]. https://www.statista.com/statistics/231321/people-who-shopped-at-best-buy-in-the-last-3-months-usa/
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    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 5, 2021 - Oct 14, 2021
    Area covered
    United States
    Description

    This statistic illustrates the share of Americans who shopped at Best Buy in the last 12 months as of 2021, by age. In that year, 23 percent of respondents aged 18 to 29 years stated that they shopped in person at Best Buy in the last 12 months.

  7. w

    Help to Buy (equity loan) scheme and Help to Buy: NewBuy statistics

    • data.wu.ac.at
    • data.europa.eu
    html
    Updated Nov 14, 2014
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    Ministry of Housing, Communities and Local Government (2014). Help to Buy (equity loan) scheme and Help to Buy: NewBuy statistics [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/OTYzNzRkMjYtYTc5OC00YmJjLTljZWQtOGU3NmY5ZmM3ZjZi
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    htmlAvailable download formats
    Dataset updated
    Nov 14, 2014
    Dataset provided by
    Ministry of Housing, Communities and Local Government
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Statistics on both Help to Buy (Equity Loan Scheme) and Newbuy. Source agency: Communities and Local Government Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Help to Buy (Equity Loan Scheme) and Newbuy statistics

  8. Correlation table for examined variables.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Iris Lok; Elizabeth W. Dunn (2023). Correlation table for examined variables. [Dataset]. http://doi.org/10.1371/journal.pone.0269636.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Iris Lok; Elizabeth W. Dunn
    License

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

    Description

    Correlation table for examined variables.

  9. BNPL use as a payment method for crypto worldwide 2024, by age and gender

    • statista.com
    • ai-chatbox.pro
    Updated Apr 18, 2025
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    Statista (2024). BNPL use as a payment method for crypto worldwide 2024, by age and gender [Dataset]. https://www.statista.com/statistics/1538065/bnpl-use-for-crypto-worldwide-by-demographic/
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    Dataset updated
    Apr 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024 - Jun 2024
    Area covered
    Brazil, Italy, Ecuador, United States, Canada, Worldwide, United Kingdom, Bulgaria, Argentina, Colombia
    Description

    Buy now, pay later (BNPL) was used in equal measure when purchasing cryptocurrency across all age groups in 2024. This is according to a survey conducted in 14 countries across North America, Europe, and Latin America. The average share of users using BNPL for crypto across ages was at four percent. Male respondents, however, did use BNPL slightly more frequently than their female counterparts.

  10. f

    The relationship between buying time and SWB by age group.

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Iris Lok; Elizabeth W. Dunn (2023). The relationship between buying time and SWB by age group. [Dataset]. http://doi.org/10.1371/journal.pone.0269636.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Iris Lok; Elizabeth W. Dunn
    License

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

    Description

    The relationship between buying time and SWB by age group.

  11. Share of Chinese internet population who frequently buy plants online 1H...

    • statista.com
    Updated Feb 1, 2022
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    Statista (2022). Share of Chinese internet population who frequently buy plants online 1H 2017 [Dataset]. https://www.statista.com/statistics/751367/china-internet-users-who-purchase-plants-online/
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    The statistic presents data on the share of the Chinese internet population who buy plants frequently online as of first half year of 2017. According to the result of a survey conducted in the first half of 2017, 63 percent of internet users in China had the habit of purchasing flowers or plants online.

  12. Top reasons to buy products on social media in the U.S. 2023, by age group

    • ai-chatbox.pro
    • statista.com
    Updated Jun 2, 2025
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    Statista Research Department (2025). Top reasons to buy products on social media in the U.S. 2023, by age group [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F19343%2Fus-internet-user-demographics-statista-dossier%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Jun 2, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The motivations influencing U.S. consumers to make purchases via social networks differ based on their age groups. Among 18-34 year olds, the primary focus is on saving money through the utilization of limited offers promoted on these platforms. Conversely, older respondents prioritize free shipping as their predominant concern. In broader terms, the exploration and acquisition of new products also emerge as significant factors driving purchases through this channel.

  13. f

    The Relationship between donating to charity and SWB by income.

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Iris Lok; Elizabeth W. Dunn (2023). The Relationship between donating to charity and SWB by income. [Dataset]. http://doi.org/10.1371/journal.pone.0269636.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Iris Lok; Elizabeth W. Dunn
    License

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

    Description

    The Relationship between donating to charity and SWB by income.

  14. Buy now, pay later (BNPL) use in the UK 2024, by age, gender, income, race

    • statista.com
    Updated Jun 13, 2025
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    Statista (2025). Buy now, pay later (BNPL) use in the UK 2024, by age, gender, income, race [Dataset]. https://www.statista.com/statistics/1613791/bnpl-user-demographics-in-uk/
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    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    UK adults with low or middle income were more likely to use BNPL than adults with higher incomes. This is according to a bi-annual household survey in the United Kingdom, that asked about how and why consumers would be using the alternative payment option. About ** percent of respondents who had an income between 50,000 and 100,000 British pounds used buy now, pay later. This was noticeably different from other income levels, especially higher ones. The source observed major differences between race, with Black and mixed race users being significantly more common BNPL users than White or Asian respondents.

  15. Main channels to buy products for consumers the U.S. 2022, by generation

    • statista.com
    • ai-chatbox.pro
    Updated Jan 14, 2025
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    Main channels to buy products for consumers the U.S. 2022, by generation [Dataset]. https://www.statista.com/statistics/1351641/us-leading-products-purchase-channels-for-consumers-by-generation/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    According to the results of a recent survey conducted in the United States, most respondents across all age groups preferred to buy products directly in stores. The highest share of in-store buyers was among baby boomers, with 83 percent. On the other hand, the same generation did not seem as interested as others in buying products through companies' apps or social media.

  16. Grocery shopping at Costco in the United States, by age 2024

    • statista.com
    Updated Oct 24, 2024
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    Statista (2024). Grocery shopping at Costco in the United States, by age 2024 [Dataset]. https://www.statista.com/statistics/231297/people-who-bought-at-costco-within-the-last-30-days-usa/
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    Dataset updated
    Oct 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023 - Sep 2024
    Area covered
    United States
    Description

    When it comes to grocery shopping at Costco in the United States, 28 percent of 18 - 29 year olds do so in the U.S. This is according to exclusive insights from the Consumer Insights Global survey which shows that 23 percent of 30 - 49 year old consumers also fall into this category.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than 2,000,000 interviews.

  17. Population in Germany 2019-2023, by housing situation

    • statista.com
    • ai-chatbox.pro
    Updated Jun 24, 2025
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    Statista (2025). Population in Germany 2019-2023, by housing situation [Dataset]. https://www.statista.com/statistics/961085/housing-situation-population-germany/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    Most of the German population rented their housing. In 2023, around ** million people did so, compared to roughly **** million who had their own house. The German real estate market does offer different housing options, but it is also an increasingly tough one for tenants and future homeowners to navigate amid the ongoing recession. Competitive and expensive Becoming a homeowner is getting more and more difficult in Germany. After almost a decade of uninterrupted growth, the market has entered a period of downturn. For years, homebuyers could access cheap credit, with mortgage rates as low as *** percent. However, in 2022 and 2023, mortgage rates have increased strongly to over **** percent, making it much more expensive to invest in residential property. In addition to that, prices for owner occupied houses have increased by over ** percent since 2015, house price growth had also overtaken that of rentals the same year, making renting the cheaper living option, especially for younger people. The summary of the housing situation sounds familiar worldwide: fierce competition in urban areas when searching for rentals, with demand far outstripping supply, as well as rising property prices for those considering a house purchase. Somewhere to live The decision to rent rather than buy may occur for various reasons. Tenants may simply not be ready financially to buy a home, be that a house or apartment, or they would not be considered by a bank for a loan based on their current earnings. They may be pressed for time and hope to find a place to rent quicker, while buying a home is a long-term commitment, leading to different types of costs and legalities. A ***************** of people lived in shared apartments in recent years, but figures had not changed so much as to rule this type of housing out as a popular option. Shared or not, the average rent prices of residential property in Germany have been going up year after year, both for new buildings and older ones.

  18. Clothes, shoes, accessories: online purchasing in Great Britain 2020, by...

    • statista.com
    Updated Mar 24, 2025
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    Statista (2025). Clothes, shoes, accessories: online purchasing in Great Britain 2020, by demographic [Dataset]. https://www.statista.com/statistics/286096/clothes-and-sports-goods-online-purchasing-in-great-britain-by-demographic/
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    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United Kingdom
    Description

    In the United Kingdom, more women than men purchased clothing, shoes, and accessories over the internet in 2020. According to a survey, over 60 percent of women bought clothing items online within the previous 12 months. Moreover, this activity was more prevalent in the younger age groups across both genders.

    UK shoppers' soft spot for e-fashion Apparel and footwear was the most popular online shopping category in Great Britain in 2020, with more than half of individuals in British households reporting buying items in this category over the internet. Estimates suggest that in 2021, fashion retail e-commerce revenue in the UK amounted to nearly 41 billion U.S. dollars, a figure forecast to grow by more than 20 percent over the next five years.

    Where do Britons buy fashion online? Although consumers in the United Kingdom enjoy a wide range of sources for discovering and purchasing fashion items over the internet, a survey conducted in 2021 revealed that Amazon was by far the most popular online store for apparel shopping. Among homegrown players, the multinationals Mark & Spencer and Next stood out, occupying second and third place in the ranking.

  19. Buy now, pay later (BNPL) users in Italy 2021, by age and gender

    • statista.com
    Updated May 23, 2025
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    Buy now, pay later (BNPL) users in Italy 2021, by age and gender [Dataset]. https://www.statista.com/statistics/1341987/bnpl-user-age-italy/
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    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Italy
    Description

    Gen Z was not the age group who used BNPL the most in Italy in 2021, but was estimated to be the age group who used this payment method the least. This according to big data from a single BNPL provider within Italy. Interestingly, it observed that most of its client base were in the age group between 41 and 56 years. This may be regarded as an unusual age group for buy now, pay later - although not uncommon, as is exemplified in BNPL user demographics for the United States.

  20. Willingness to use SHEIN Japan 2023, by age and gender

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Willingness to use SHEIN Japan 2023, by age and gender [Dataset]. https://www.statista.com/statistics/1378528/japan-shein-purchase-desire-by-age-and-gender/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 15, 2023 - Feb 16, 2023
    Area covered
    Japan
    Description

    According to a survey conducted in Japan in February 2023, about one-third of all respondents stated their interest to buy from the Chinese fast fashion online retailer SHEIN. The demographic with the highest desire to use the store were female teenagers, of whom almost 46 percent reported a strong intent. In general, female consumers were more inclined to use SHEIN. The private company headquartered in Guangzhou specializes in low priced clothes that are produced domestically, primarily for an international market.

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United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2022). QuickFacts: King of Prussia CDP, Pennsylvania [Dataset]. https://www.census.gov/quickfacts/fact/faq/kingofprussiacdppennsylvania/HCN010222
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QuickFacts: King of Prussia CDP, Pennsylvania

Explore at:
csvAvailable download formats
Dataset updated
Feb 25, 2022
Dataset provided by
United States Census Bureauhttp://census.gov/
Authors
United States Census Bureau > Communications Directorate - Center for New Media and Promotion
License

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

Area covered
King of Prussia, Pennsylvania
Description

U.S. Census Bureau QuickFacts statistics for King of Prussia CDP, Pennsylvania. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

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