31 datasets found
  1. Survey of Consumer Attitudes and Behavior, May 2004

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Nov 7, 2024
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    University of Michigan. Survey Research Center. Economic Behavior Program (2024). Survey of Consumer Attitudes and Behavior, May 2004 [Dataset]. http://doi.org/10.3886/ICPSR35361.v4
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    delimited, ascii, r, sas, spss, stataAvailable download formats
    Dataset updated
    Nov 7, 2024
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    University of Michigan. Survey Research Center. Economic Behavior Program
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/35361/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/35361/terms

    Time period covered
    Apr 2004 - May 2004
    Area covered
    United States
    Description

    The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2004 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning. Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.

  2. ACSI - U.S. customer satisfaction with Amazon.com 2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 10, 2025
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    Statista Research Department (2025). ACSI - U.S. customer satisfaction with Amazon.com 2024 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
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    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    The American Customer Satisfaction Index (ACSI) score of the e-commerce website of Amazon.com has fluctuated since 2000. In 2024, the customer satisfaction score of the online retailer was 83 out of 100 ASCI points. Popularity contest Amazon is one of the most popular marketplaces worldwide. In April 2023, the U.S. domain for Amazon ranked the most visited e-commerce and shopping website by share of online visits, with around 13 percent. Ebay came in second with roughly three percent of the visit share, and the Japanese site amazon.co.jp came in third with 2.66 percent. In the same month, global online shoppers visited amazon.com around 2.2 billion times. Why Amazon? Amazon.com is the most used e-commerce website in the world, and in the U.S., the website is far ahead of its competitors. With a significant difference in website visitors of almost 45 percent, ebay.com is second to amazon.com. Furthermore, the retail giant Walmart trails behind with an online visit share of roughly six percent. Amazon is used for various reasons by its customers. For example, the online marketplace is ranked as the leading platform for product research in the U.S., surpassing even search engines in popularity. Low shipping costs, fast deliveries, and affordable product prices are the main reasons for shopping on Amazon.

  3. Consumer purchase habits towards brands worldwide 2023

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Consumer purchase habits towards brands worldwide 2023 [Dataset]. https://www.statista.com/statistics/1425337/changes-in-purchase-habits-year-to-year/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2023
    Area covered
    Worldwide
    Description

    During a May 2023 survey among the general population of selected countries worldwide, ** percent of respondents said they were more price-conscious compared to the previous year. Additionally, ** percent stated that they were doing more research before each purchase and making fewer impulse purchases altogether.

  4. E-commerce as share of total retail sales in the U.S. 2019-2027

    • statista.com
    • ai-chatbox.pro
    Updated Mar 10, 2025
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    Statista Research Department (2025). E-commerce as share of total retail sales in the U.S. 2019-2027 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
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    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In 2023, e-commerce comprised over 15.6 percent of total retail sales in the United States. Forecasts suggest that this proportion will continue to rise steadily in the coming years, reaching approximately 20.6 percent by 2027. Fashion fever The digital revolution has significantly changed how retail is done, impacting a wide range of product categories. Out of all e-commerce product categories, apparel and accessories are the most purchased online in the United States. As of February 2023, roughly 18 percent of all fashion retail sales took place online. Furniture and home furnishing, as well as computer and consumer electronics, ranked second, with over 15 percent of each product category purchased via the internet. The product categories that are least purchased online are office equipment and supplies (1.4 percent) and books, music, and video (5.1 percent). Shopping hotspots Amazon dominates the e-commerce industry in the United States, though other competitors still have significant market share. In December 2023, amazon.com was the most-visited e-commerce and shopping site in the United States. That month, around 45 percent of all visits to e-commerce sites were made to Amazon. Other popular shopping sites include ebay.com, walmart.com, etsy.com, and target.com. The staggering proportion of online retail sales in the country attributed to Amazon is quite remarkable. In 2023, Amazon's website accounted for almost half of all online computer and consumer electronics sales. Similarly, nearly one-third of online fashion purchases in the country were made on Amazon.

  5. ACSI - U.S. customer satisfaction with online retail as of 2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 10, 2025
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    Statista Research Department (2025). ACSI - U.S. customer satisfaction with online retail as of 2024 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
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    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    This timeline shows the customer satisfaction with e-retail over the years, as measured in the American Customer Satisfaction Index (ACSI) score. In 2024, customer satisfaction with electronic retail reached 80 points out of 100. A bustling e-commerce market With one of the largest economies globally, it is no surprise that the United States also is a leading market for e-commerce on the global scale. In 2023, the U.S. Census Bureau reported retail e-commerce sales reaching an estimated 275 million U.S. dollars, nearly doubling since 2019. This high number of sales is made possible by the 273 million e-commerce users in the country – over 80 percent of the population. U.S. online fashion shopping Of the most popular categories to buy online, apparel and accessories is by far the most popular. In 2024, apparel, footwear and accessories made up 20.2 percent of the country’s total retail e-commerce sales. In the same year, the category was forecast to generate a total 145 billion U.S. dollars in overall revenue.

  6. Leading issues impacting shopping behavior among Brazilian consumers 2022

    • statista.com
    Updated Feb 29, 2024
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    Statista (2024). Leading issues impacting shopping behavior among Brazilian consumers 2022 [Dataset]. https://www.statista.com/statistics/1346226/issues-impacting-shopping-behavior-brazil/
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    Dataset updated
    Feb 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    According to a mid-2022 study, 71 percent of consumers in Brazil said rising food prices were affecting their purchases. Another 30 percent saw product unavailability as an issue that has a great impact on their shopping behavior. Longer delivery times affect 22 percent of Brazilian survey respondents.

    Consumer behavior in Brazil has been heavily influenced by a number of factors in 2022, such as supply chain issues and rising levels of inflation.

  7. Foreign countries where U.S. shoppers last bought online 2023

    • statista.com
    Updated Mar 10, 2025
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    Koen van Gelder (2025). Foreign countries where U.S. shoppers last bought online 2023 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
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    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Koen van Gelder
    Area covered
    United States
    Description

    Most of the latest online purchases from abroad among U.S. shoppers were made in China, according to a 2023 survey. 53 percent of the e-commerce users surveyed in the United States had made their most recent purchase from there. The United Kingdom ranked second, with 10 percent. In turn, the U.S. was the main market where Canadian cross-border shoppers last bought online.

  8. m

    Survey data on Consumer Behaviour: A study on consumer awareness level.

    • data.mendeley.com
    Updated May 16, 2023
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    manish mishra (2023). Survey data on Consumer Behaviour: A study on consumer awareness level. [Dataset]. http://doi.org/10.17632/y8bb27f9sy.3
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    Dataset updated
    May 16, 2023
    Authors
    manish mishra
    License

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

    Description

    A consumer survey was conducted in Uttar Pradesh in five major cities Lucknow, Kanpur, Agra, Varanasi, and Meerut District, from 2022 to 2023 to understand consumer awareness and consumer behaviour towards Sustainable Apparel. The data were collected from 384 respondents via face-to-face interviews through field surveys in different shopping malls.

  9. Consumer Behavior Data | Consumer Goods & Electronics Industry Leaders in...

    • datarade.ai
    Updated Jan 1, 2018
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    Success.ai (2018). Consumer Behavior Data | Consumer Goods & Electronics Industry Leaders in Asia, US, and Europe | Verified Global Profiles from 700M+ Dataset [Dataset]. https://datarade.ai/data-products/consumer-behavior-data-consumer-goods-electronics-industr-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    United States
    Description

    Success.ai’s Consumer Behavior Data for Consumer Goods & Electronics Industry Leaders in Asia, the US, and Europe offers a robust dataset designed to empower businesses with actionable insights into global consumer trends and professional profiles. Covering executives, product managers, marketers, and other professionals in the consumer goods and electronics sectors, this dataset includes verified contact information, professional histories, and geographic business data.

    With access to over 700 million verified global profiles and firmographic data from leading companies, Success.ai ensures your outreach, market analysis, and strategic planning efforts are powered by accurate, continuously updated, and GDPR-compliant data. Backed by our Best Price Guarantee, this solution is ideal for businesses aiming to navigate and lead in these fast-paced industries.

    Why Choose Success.ai’s Consumer Behavior Data?

    1. Verified Contact Data for Precision Engagement

      • Access verified email addresses, phone numbers, and LinkedIn profiles of professionals in the consumer goods and electronics industries.
      • AI-driven validation ensures 99% accuracy, optimizing communication efficiency and minimizing data gaps.
    2. Comprehensive Global Coverage

      • Includes profiles from key markets in Asia, the US, and Europe, covering regions such as China, India, Germany, and the United States.
      • Gain insights into region-specific consumer trends, product preferences, and purchasing behaviors.
    3. Continuously Updated Datasets

      • Real-time updates capture career progressions, company expansions, market shifts, and consumer trend data.
      • Stay aligned with evolving market dynamics and seize emerging opportunities effectively.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use and legal compliance for all data-driven campaigns.

    Data Highlights:

    • 700M+ Verified Global Profiles: Connect with industry leaders, marketers, and decision-makers in consumer goods and electronics industries worldwide.
    • Consumer Trend Insights: Gain detailed insights into product preferences, purchasing patterns, and demographic influences.
    • Business Locations: Access geographic data to identify regional markets, operational hubs, and emerging consumer bases.
    • Professional Histories: Understand career trajectories, skills, and expertise of professionals driving innovation and strategy.

    Key Features of the Dataset:

    1. Decision-Maker Profiles in Consumer Goods and Electronics

      • Identify and engage with professionals responsible for product development, marketing strategy, and supply chain optimization.
      • Target individuals making decisions on consumer engagement, distribution, and market entry strategies.
    2. Advanced Filters for Precision Campaigns

      • Filter professionals by industry focus (consumer electronics, FMCG, luxury goods), geographic location, or job function.
      • Tailor campaigns to align with specific industry trends, market demands, and regional preferences.
    3. Consumer Trend Data and Insights

      • Access data on regional product preferences, spending behaviors, and purchasing influences across key global markets.
      • Leverage these insights to shape product development, marketing campaigns, and customer engagement strategies.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing and Demand Generation

      • Design campaigns tailored to consumer preferences, regional trends, and target demographics in the consumer goods and electronics industries.
      • Leverage verified contact data for multi-channel outreach, including email, social media, and direct marketing.
    2. Market Research and Competitive Analysis

      • Analyze global consumer trends, spending patterns, and product preferences to refine your product portfolio and market positioning.
      • Benchmark against competitors to identify gaps, emerging needs, and growth opportunities in target regions.
    3. Sales and Partnership Development

      • Build relationships with key decision-makers at companies specializing in consumer goods or electronics manufacturing and distribution.
      • Present innovative solutions, supply chain partnerships, or co-marketing opportunities to grow your market share.
    4. Product Development and Innovation

      • Utilize consumer trend insights to inform product design, pricing strategies, and feature prioritization.
      • Develop offerings that align with regional preferences and purchasing behaviors to maximize market impact.

    Why Choose Success.ai?

    1. Best Price Guarantee
      • Access premium-quality consumer behavior data at competitive prices, ensuring maximum ROI for your outreach, research, and ma...
  10. Share of shoppers researching before purchasing in Japan 2023, by age

    • statista.com
    • ai-chatbox.pro
    Updated Sep 30, 2024
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    Statista (2024). Share of shoppers researching before purchasing in Japan 2023, by age [Dataset]. https://www.statista.com/statistics/1452849/japan-shopper-research-before-buying-by-age/
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    Dataset updated
    Sep 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 17, 2023 - Aug 23, 2023
    Area covered
    Japan
    Description

    The majority of Japanese consumers researched products before buying, as revealed in a survey conducted in August 2023. Over 60 percent of respondents across all age groups stated that they made sure to research their desired products sufficiently before making a purchase, with the highest share of elderly consumers aged 70 to 74 years.

  11. f

    THE DETERMINANTS OF INTENTION TO

    • figshare.com
    pdf
    Updated Jan 20, 2016
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    Mustafa emre Civelek (2016). THE DETERMINANTS OF INTENTION TO [Dataset]. http://doi.org/10.6084/m9.figshare.1560060.v1
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    pdfAvailable download formats
    Dataset updated
    Jan 20, 2016
    Dataset provided by
    figshare
    Authors
    Mustafa emre Civelek
    License

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

    Description

    While the penetration of the Internet in consumers’ daily lives still continue with an increasing momentum, this new medium has experienced a radical transformation from being a communication tool to be an economic platform where consumers do not only communicate but also transact. In this perspective, online consumer behavior became an important area for both academics and professionals, which needs to be investigated and explored. As the Internet is a new technological channel for shopping, consumers need first to decide to use this new channel for shopping and then make their online retailer preference. Thus, online consumer behavior involves a two-step process composed of intention to shop online and selection of e-store. The purpose of this study is to develop and test a two steps online consumer behavior model which explains the dynamics of the intention and selection processes. A two staged research design has been implemented in the study. At the first stage, parallel to the existing literature, the effects of risk perceptions, technology acceptance factors, and benefit perceptions on the intention to shop online has been measured. The effect of retailer brand equity on e-store selection process has been measured on the second stage. The research hypotheses have been developed based on both the existing theoretical ground and current findings in the literature. The results of the study confirmed that risk perceptions, technology acceptance factors and benefit perceptions regarding online shopping play a decisive role in the intention of consumers to shop online. A second important finding of the study is that once consumers’ involve into online shopping activity, the strength of retailers’ brand equity directly affects the consumers’ store preference.

  12. f

    Path analysis.

    • plos.figshare.com
    xls
    Updated Aug 29, 2023
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    José Moleiro Martins; Shedrack Chinwuba Moguluwa; João Luis Lucas; Chiemelie Benneth Iloka; Mário Nuno Mata (2023). Path analysis. [Dataset]. http://doi.org/10.1371/journal.pone.0285438.t007
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    xlsAvailable download formats
    Dataset updated
    Aug 29, 2023
    Dataset provided by
    PLOS ONE
    Authors
    José Moleiro Martins; Shedrack Chinwuba Moguluwa; João Luis Lucas; Chiemelie Benneth Iloka; Mário Nuno Mata
    License

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

    Description

    The aim of this study was to examine the relationship between the country of origin image of a product and consumers’ purchasing behavior in Nigerian hypermarkets, as well as the mediating role of perceived price in this relationship. The research considers four aspects of purchasing behavior: information search, product evaluation, purchase decision-making, and post-purchase behavior. A total of 1272 participants completed an online survey, and the data collected was analyzed using structural equation modeling. The results indicated that the country of origin image of a product has a significant and positive impact on consumers’ information search, product evaluation, purchase decision-making, and post-purchase behavior. The study also found that perceived quality does not mediate the impact of country of origin image on information search and product evaluation, but it does play a significant and positive role in purchase decision-making and post-purchase behavior. As a result, it is important for Nigerian hypermarkets to be aware of the origin of the products they import, as importing from countries with a positive image can enhance their performance. Furthermore, perceived quality can mediate purchase and post-purchase decisions.

  13. m

    Green Marketing and Its Impact on Consumer Behavior in MSMEs :Exploring...

    • data.mendeley.com
    Updated Oct 7, 2024
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    Henrich Are (2024). Green Marketing and Its Impact on Consumer Behavior in MSMEs :Exploring Sustainable Environment Business Strategies [Dataset]. http://doi.org/10.17632/sh8gfwhjhv.1
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    Dataset updated
    Oct 7, 2024
    Authors
    Henrich Are
    License

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

    Description

    The study highlights the significant impact of green marketing on consumer behavior, particularly in the context of Micro, Small, and Medium Enterprises (MSMEs) that adopt sustainable environmental strategies. Key findings from the research suggest that green marketing plays an essential role in enhancing purchase intention and customer loyalty, which in turn positively influence customer responses to environmentally friendly products.

  14. Consumer behavior based on customer service experience worldwide 2022

    • statista.com
    Updated May 15, 2022
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    Statista (2022). Consumer behavior based on customer service experience worldwide 2022 [Dataset]. https://www.statista.com/statistics/1323488/consumer-behavior-customer-service-worldwide/
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    Dataset updated
    May 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 13, 2022
    Area covered
    Worldwide
    Description

    During a May 2022 survey, ** percent of responding customers stated that a positive customer service experience made them more likely to purchase again. Moreover, ** percent of customers would recommend a company based solely on excellent customer service.

  15. Online shopper share in Brazil 2023, by income class

    • statista.com
    • ai-chatbox.pro
    Updated Jun 16, 2023
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    Statista Research Department (2023). Online shopper share in Brazil 2023, by income class [Dataset]. https://www.statista.com/study/102901/online-shopping-behavior-in-brazil/
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    Dataset updated
    Jun 16, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Brazil
    Description

    Online shoppers classified in the C income class made the largest share of digital buyers in Brazil in 2023, with 54 percent. AB shoppers, in turn, represented over 30 percent, whereas DE consumers amounted to less than 14 percent.

  16. m

    Raw Research data

    • data.mendeley.com
    Updated Aug 1, 2023
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    Tony Wijaya (2023). Raw Research data [Dataset]. http://doi.org/10.17632/njvcdh6mkz.1
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    Dataset updated
    Aug 1, 2023
    Authors
    Tony Wijaya
    License

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

    Description

    Raw data & questionnaire

  17. Customer reasons to buy groceries outside the supermarket in the Netherlands...

    • statista.com
    Updated Aug 8, 2020
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    T. Ozbun (2020). Customer reasons to buy groceries outside the supermarket in the Netherlands 2023 [Dataset]. https://www.statista.com/study/78266/shopping-behavior-in-the-netherlands/
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    Dataset updated
    Aug 8, 2020
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    T. Ozbun
    Area covered
    Netherlands
    Description

    According to a survey conducted in mid-2023, around 45 percent of consumers in the Netherlands were inclined to buy groceries in outlets that are not grocery stores, due to cost and quality considerations. Nearly a quarter of Dutch shoppers said they do it to support small and local businesses. 70 percent of consumers said they sometimes buy groceries in elsewhere (e.g., specialty stores or traditional markets).

  18. Real total consumer spending in the Netherlands 2014-2029

    • statista.com
    Updated Aug 8, 2020
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    Statista Research Department (2020). Real total consumer spending in the Netherlands 2014-2029 [Dataset]. https://www.statista.com/study/78266/shopping-behavior-in-the-netherlands/
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    Dataset updated
    Aug 8, 2020
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Netherlands
    Description

    The real total consumer spending in the Netherlands was forecast to continuously increase between 2024 and 2029 by in total 25.3 billion U.S. dollars (+6.21 percent). After the ninth consecutive increasing year, the real total consumer spending is estimated to reach 433.2 billion U.S. dollars and therefore a new peak in 2029. Consumer spending here refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real total consumer spending in countries like Luxembourg and Belgium.

  19. Quarterly e-commerce share in total U.S. retail sales 2010-2024

    • statista.com
    Updated Mar 10, 2025
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    Statista Research Department (2025). Quarterly e-commerce share in total U.S. retail sales 2010-2024 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
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    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In the fourth quarter 2024, the share of e-commerce in total U.S. retail sales stood at 16.4 percent, up from the previous quarter. From October to December 2024, retail e-commerce sales in the United States hit over 309 billion U.S. dollars, the highest quarterly revenue in history. How e-commerce measures up in total U.S. retail In 2023, the reported total value of retail e-commerce sales in the United States amounted to over one trillion U.S. dollars—impressive, but the figure pales compared to the total annual retail trade value of seven trillion U.S. dollars. E-commerce still accounts for a mere 15.4 percent of total retail sales in the United States. Rising e-commerce segments Online shopping is popular among all age groups, though digital purchases are most common among Millennial internet users. In 2022, around 55 percent of Millennials purchased items via the internet. Mobile commerce is also growing in popularity, as consumers increasingly rely on their smartphones and mobile apps for shopping activities. In the fourth quarter of 2022, m-commerce spending made up 38 percent of the overall online spending in the United States.

  20. Shopping behaviour among 18-24 year olds in the United Kingdom (UK) 2014

    • statista.com
    Updated May 22, 2014
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    Statista (2014). Shopping behaviour among 18-24 year olds in the United Kingdom (UK) 2014 [Dataset]. https://www.statista.com/statistics/320225/shopping-behaviour-of18-24-year-olds-in-the-united-kingdom-uk/
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    Dataset updated
    May 22, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2014
    Area covered
    United Kingdom
    Description

    This statistic shows how ***** year old consumers best describe their shopping behaviour in the United Kingdom in 2014. According to the survey, **** percent of 18 to 24 year old respondents claim to shop mostly online.

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University of Michigan. Survey Research Center. Economic Behavior Program (2024). Survey of Consumer Attitudes and Behavior, May 2004 [Dataset]. http://doi.org/10.3886/ICPSR35361.v4
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Survey of Consumer Attitudes and Behavior, May 2004

Surveys of Consumers

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delimited, ascii, r, sas, spss, stataAvailable download formats
Dataset updated
Nov 7, 2024
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
University of Michigan. Survey Research Center. Economic Behavior Program
License

https://www.icpsr.umich.edu/web/ICPSR/studies/35361/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/35361/terms

Time period covered
Apr 2004 - May 2004
Area covered
United States
Description

The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2004 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning. Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.

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