100+ datasets found
  1. Print book unit sales in the U.S. 2004-2024

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Print book unit sales in the U.S. 2004-2024 [Dataset]. https://www.statista.com/statistics/422595/print-book-sales-usa/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Data showing how many books were sold in 2024 revealed that the printed book market remains healthy: a total of ***** million units were sold that year among outlets which reported to the source. Whilst this marked a small jump from the previous year, the figure peaked in 2021 and has not surpassed *** million since. Trade paperbacks remained the dominant format. Book sales statistics Looking at book sales by year, 2005 to 2010 were the most lucrative for the printed book market, with well over *** million units sold annually during that five-year period. After dropping below *** million in 2012, gradual and consistent increases can be seen each year, with the exception of between the years 2018 and 2019. For bookstores though, how many books are sold each year depends on the success of key months across a twelve-month period. Bookstore sales in the United States are at their highest in December, January, and August, but figures for December are consistently higher than other months. Books are popular holiday gifts, with around ** to ** percent of consumers responding to annual surveys in each year from 2012 to 2020 saying that they planned to purchase books as presents during the festive season.

  2. E

    Social Media Marketing Statistics By Sales, Usage, Platform, Content, AI and...

    • electroiq.com
    Updated Mar 24, 2025
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    Electro IQ (2025). Social Media Marketing Statistics By Sales, Usage, Platform, Content, AI and Advertising [Dataset]. https://electroiq.com/stats/social-media-marketing-statistics/
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    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Electro IQ
    License

    https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Social Media Marketing Statistics: Social media marketing is a key part of any digital marketing plan today. With over 50% of the world’s population using social media, brands need to be active on these platforms. But it’s not just about making profiles and posting content. Effective social media marketing involves keeping up with changing algorithms and trends and understanding the behaviors of your target audience. Social media’s interactive and engaging nature helps businesses connect with their audience in ways they couldn’t before.

    This opens up new opportunities for engaging with people, building the brand, and doing direct marketing. We shall shed more light on Social Media Marketing Statistics through this article.

  3. T

    Finland Retail Sales MoM

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 14, 2025
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    TRADING ECONOMICS (2025). Finland Retail Sales MoM [Dataset]. https://tradingeconomics.com/finland/retail-sales
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Jun 14, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Feb 28, 1995 - Jun 30, 2025
    Area covered
    Finland
    Description

    Retail Sales in Finland increased 0.70 percent in June of 2025 over the previous month. This dataset provides - Finland Retail Sales MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. Sales share of the direct selling industry worldwide 2023, by product...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Sales share of the direct selling industry worldwide 2023, by product category [Dataset]. https://www.statista.com/statistics/293085/global-sales-share-of-the-direct-selling-industry-by-product-category/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, the global direct selling industry generated **** percent of its retail sales from wellness products alone. Cosmetics and personal care products ranked second, accounting for nearly a quarter of sales globally. In that year, the global direct selling industry generated approximately *** billion U.S. dollars.

  5. Live tables on social housing sales

    • gov.uk
    • s3.amazonaws.com
    Updated Aug 21, 2025
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    Ministry of Housing, Communities and Local Government (2025). Live tables on social housing sales [Dataset]. https://www.gov.uk/government/statistical-data-sets/live-tables-on-social-housing-sales
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    Dataset updated
    Aug 21, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    The tables below provide statistics on the sales of social housing stock – whether owned by local authorities or private registered providers. The most common of these sales are by the Right to Buy (and preserved Right to Buy) scheme and there are separate tables for sales under that scheme.

    The tables for Right to Buy, tables 691, 692 and 693, are now presented in annual versions to reflect changes to the data collection following consultation. The previous quarterly tables can be found in the discontinued tables section below.

    From April 2005 to March 2021 there are quarterly official statistics on Right to Buy sales – these are available in the quarterly version of tables 691, 692 and 693. From April 2021 onwards, following a consultation with local authorities, the quarterly data on Right to Buy sales are management information and not subject to the same quality assurance as official statistics and should not be treated the same as official statistics. These data are presented in tables in the ‘Right to Buy sales: management information’ below.

    Social housing sales

    https://assets.publishing.service.gov.uk/media/6851346d514cf0979e987662/LT_678.ods">Table 678: annual social housing sales by scheme for England

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">14.4 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

    Right to Buy sales

    https://assets.publishing.service.gov.uk/media/68a3510f246cc964c53d297e/LT_691.ods">Table 691 annual: Right to Buy sales, by local authority

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">155 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisa
    
  6. Retail Sales Dataset

    • kaggle.com
    Updated Aug 22, 2023
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    Mohammad Talib (2023). Retail Sales Dataset [Dataset]. https://www.kaggle.com/datasets/mohammadtalib786/retail-sales-dataset/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 22, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mohammad Talib
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Welcome to the Retail Sales and Customer Demographics Dataset! This synthetic dataset has been meticulously crafted to simulate a dynamic retail environment, providing an ideal playground for those eager to sharpen their data analysis skills through exploratory data analysis (EDA). With a focus on retail sales and customer characteristics, this dataset invites you to unravel intricate patterns, draw insights, and gain a deeper understanding of customer behavior.

    ****Dataset Overview:**

    This dataset is a snapshot of a fictional retail landscape, capturing essential attributes that drive retail operations and customer interactions. It includes key details such as Transaction ID, Date, Customer ID, Gender, Age, Product Category, Quantity, Price per Unit, and Total Amount. These attributes enable a multifaceted exploration of sales trends, demographic influences, and purchasing behaviors.

    Why Explore This Dataset?

    • Realistic Representation: Though synthetic, the dataset mirrors real-world retail scenarios, allowing you to practice analysis within a familiar context.
    • Diverse Insights: From demographic insights to product preferences, the dataset offers a broad spectrum of factors to investigate.
    • Hypothesis Generation: As you perform EDA, you'll have the chance to formulate hypotheses that can guide further analysis and experimentation.
    • Applied Learning: Uncover actionable insights that retailers could use to enhance their strategies and customer experiences.

    Questions to Explore:

    • How does customer age and gender influence their purchasing behavior?
    • Are there discernible patterns in sales across different time periods?
    • Which product categories hold the highest appeal among customers?
    • What are the relationships between age, spending, and product preferences?
    • How do customers adapt their shopping habits during seasonal trends?
    • Are there distinct purchasing behaviors based on the number of items bought per transaction?
    • What insights can be gleaned from the distribution of product prices within each category?

    Your EDA Journey:

    Prepare to immerse yourself in a world of data-driven exploration. Through data visualization, statistical analysis, and correlation examination, you'll uncover the nuances that define retail operations and customer dynamics. EDA isn't just about numbers—it's about storytelling with data and extracting meaningful insights that can influence strategic decisions.

    Embrace the Retail Sales and Customer Demographics Dataset as your canvas for discovery. As you traverse the landscape of this synthetic retail environment, you'll refine your analytical skills, pose intriguing questions, and contribute to the ever-evolving narrative of the retail industry. Happy exploring!

  7. F

    Data from: Existing Home Sales

    • fred.stlouisfed.org
    json
    Updated Aug 21, 2025
    + more versions
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    (2025). Existing Home Sales [Dataset]. https://fred.stlouisfed.org/series/EXHOSLUSM495S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Existing Home Sales (EXHOSLUSM495S) from Jul 2024 to Jul 2025 about headline figure, sales, housing, and USA.

  8. G

    Georgia Retail Sales Growth

    • ceicdata.com
    Updated Jan 15, 2019
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    CEICdata.com (2019). Georgia Retail Sales Growth [Dataset]. https://www.ceicdata.com/en/indicator/georgia/retail-sales-growth
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    Dataset updated
    Jan 15, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    Georgia
    Description

    Key information about Georgia Retail Sales Growth

    • Georgia Retail Sales grew 1.1 % YoY in Dec 2024, compared with a 6.8 % increase in the previous quarter.
    • Georgia Retail Sales Growth YoY data is updated quarterly, available from Mar 2010 to Dec 2024, with an average growth rate of 14.6 %.
    • The data reached an all-time high of 109.2 % in Dec 2012 and a record low of -14.5 % in Jun 2020.
    • In the latest reports, Car Sales of Georgia recorded 3,400.0 units in Dec 2019, representing a drop of 3.4 %.

    CEIC calculates quarterly Retail Sales: Excl. Motor Vehicles Growth from quarterly Retail Trade Turnover. The National Statistics Office of Georgia provides Retail Trade Turnover in local currency. Retail Sales: Excl. Motor Vehicles Growth prior to Q1 2018 is based on NACE Rev. 1.1.

  9. T

    United States Total Light Vehicle Sales

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 2, 2025
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    TRADING ECONOMICS (2025). United States Total Light Vehicle Sales [Dataset]. https://tradingeconomics.com/united-states/total-vehicle-sales
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1976 - Jul 31, 2025
    Area covered
    United States
    Description

    Total Vehicle Sales in the United States increased to 16.41 Million in July from 15.32 Million in June of 2025. This dataset provides the latest reported value for - United States Total Vehicle Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  10. Auto Sales

    • catalog.data.gov
    • data.virginia.gov
    • +1more
    Updated Jan 2, 2025
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    Bureau of Transportation Statistics (2025). Auto Sales [Dataset]. https://catalog.data.gov/dataset/auto-sales
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    Dataset updated
    Jan 2, 2025
    Dataset provided by
    Bureau of Transportation Statisticshttp://www.rita.dot.gov/bts
    Description

    Autos include all passenger cars, including station wagons. The U.S. Bureau of Economic Analysis releases auto and truck sales data, which are used in the preparation of estimates of personal consumption expenditures.

  11. Consumer Electronics Estimated Sales by Platforms

    • aftership.com
    Updated Feb 9, 2024
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    AfterShip (2024). Consumer Electronics Estimated Sales by Platforms [Dataset]. https://www.aftership.com/ecommerce/statistics/stores/consumer-electronics
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    Dataset updated
    Feb 9, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

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

    Description

    The chart provides an insightful analysis of the estimated sales amounts for Consumer Electronics stores across various platforms. Custom Cart stands out, generating a significant portion of sales with an estimated amount of $1.22T, which is 94.88% of the total sales in this category. Following closely, Shopify accounts for $28.83B in sales, making up 2.25% of the total. Salesforce Commerce Cloud also shows notable performance, contributing $14.43B to the total sales, representing 1.12%. This data highlights the sales dynamics and the varying impact of each platform on the Consumer Electronics market.

  12. T

    Sales Training Statistics By Types, Effectiveness, Lead Nurturing, Impact,...

    • technotrenz.com
    Updated Sep 19, 2024
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    Techno Trenz (2024). Sales Training Statistics By Types, Effectiveness, Lead Nurturing, Impact, Benefits, Inside And Outside Sales [Dataset]. https://technotrenz.com/stats/sales-training-statistics/
    Explore at:
    Dataset updated
    Sep 19, 2024
    Dataset authored and provided by
    Techno Trenz
    License

    https://technotrenz.com/privacy-policy/https://technotrenz.com/privacy-policy/

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Sales Training Statistics: Sales training is about teaching salespeople the skills they need to sell products or services. This training can be done in several ways, such as in a classroom, online, or while working. It's important because it helps salespeople learn the latest sales methods and best practices. It also helps them update their knowledge about products and understand the sales process better.

    Despite its importance, many companies need more sales training. Some business owners think their sales team already knows how to sell and want to avoid the need for extra training. But statistics show that this isn't always true. Many businesses could boost their revenue significantly by investing in better sales training for their employees. In this article, Sales Training Statistics, we'll cover some key sales training features and points you should know!

  13. Retail Sales - Table 620-67001 : Total Retail Sales | DATA.GOV.HK

    • data.gov.hk
    Updated Mar 30, 2023
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    data.gov.hk (2023). Retail Sales - Table 620-67001 : Total Retail Sales | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-censtatd-tablechart-620-67001
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    Dataset updated
    Mar 30, 2023
    Dataset provided by
    data.gov.hk
    Description

    Retail Sales - Table 620-67001 : Total Retail Sales

  14. Retail trade sales by industry, inactive (x 1,000)

    • www150.statcan.gc.ca
    Updated Feb 21, 2023
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    Government of Canada, Statistics Canada (2023). Retail trade sales by industry, inactive (x 1,000) [Dataset]. http://doi.org/10.25318/2010000801-eng
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    Dataset updated
    Feb 21, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Retail Trade, sales by industries based on North American Industry Classification System (NAICS), monthly.

  15. INDIAN RETAIL SALES

    • kaggle.com
    Updated Oct 7, 2024
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    Winston Bobby (2024). INDIAN RETAIL SALES [Dataset]. https://www.kaggle.com/datasets/winstonbobby/indian-retail-sales/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 7, 2024
    Dataset provided by
    Kaggle
    Authors
    Winston Bobby
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    India
    Description

    This dataset contains comprehensive sales transaction data from the retail sector in India, specifically focusing on the processed meats industry. It spans various retail segments including personal usage, restaurants, hotels, and hospitals. Each record in the dataset represents a sales order with information about the product category, pricing, shipping methods, profit margins, and geographic details across different regions of India.

    Key Features: Order Priority: Defines the priority of the sales order (e.g., High, Low). Discount Offered: The discount applied to each sale. Unit Price: The price per unit of the product sold. Freight Expenses: Shipping costs associated with each order. Freight Mode: The mode of transportation used (e.g., Regular Air, Express Air). Segment: Retail segment such as Personal Usage, Hotels, Hospitals, or Restaurant Chains. Product Information: Includes the product type, sub-category, and packaging information. Geographic Information: State, city, and region within India where the transaction took place. Order and Ship Dates: Date of order placement and shipment. Profit: Profit margin from the sale. Quantity Ordered: Number of units ordered. Sales: Total sales amount generated.

  16. M

    Retail Sales m/m - statistical data from the United States

    • mql5.com
    csv
    Updated Aug 12, 2025
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    MQL5 Community (2025). Retail Sales m/m - statistical data from the United States [Dataset]. https://www.mql5.com/en/economic-calendar/united-states/retail-sales-mm
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    csvAvailable download formats
    Dataset updated
    Aug 12, 2025
    Dataset authored and provided by
    MQL5 Community
    Time period covered
    Aug 15, 2023 - Jul 17, 2025
    Area covered
    United States
    Description

    Retail Sales m/m reflect a change in the US retail sails in the reported month compared to the previous one. The indicator is calculated based on statistics received from 5,000 retail stores of

  17. T

    Turkey New Home Sales

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 25, 2014
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    TRADING ECONOMICS (2014). Turkey New Home Sales [Dataset]. https://tradingeconomics.com/turkey/new-home-sales
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Feb 25, 2014
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2013 - Jul 31, 2025
    Area covered
    Türkiye
    Description

    New Home Sales in Turkey increased to 43984 Units in July from 33569 Units in June of 2025. This dataset provides - Turkey New Home Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. G

    Retail e-commerce sales, inactive

    • open.canada.ca
    • ouvert.canada.ca
    • +1more
    csv, html, xml
    Updated Mar 24, 2023
    + more versions
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    Statistics Canada (2023). Retail e-commerce sales, inactive [Dataset]. https://open.canada.ca/data/en/dataset/0ffbe1ee-7fa7-4369-ac78-a01c8175e1a6
    Explore at:
    html, csv, xmlAvailable download formats
    Dataset updated
    Mar 24, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 3 series, with data for years 2016 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Sales (3 items: Retail trade; Electronic shopping and mail-order houses; Retail E-commerce sales).

  19. T

    EXISTING HOME SALES by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 27, 2017
    + more versions
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    TRADING ECONOMICS (2017). EXISTING HOME SALES by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/existing-home-sales
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    May 27, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for EXISTING HOME SALES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  20. C

    China CN: Retail Sales of Consumer Goods: Shanghai

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Retail Sales of Consumer Goods: Shanghai [Dataset]. https://www.ceicdata.com/en/china/retail-sales-of-consumer-goods-provincial-and-municipal-statistical-bureau/cn-retail-sales-of-consumer-goods-shanghai
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2023 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Domestic Trade
    Description

    Retail Sales of Consumer Goods: Shanghai data was reported at 128.006 RMB bn in Mar 2025. This records a decrease from the previous number of 157.034 RMB bn for Dec 2024. Retail Sales of Consumer Goods: Shanghai data is updated monthly, averaging 73.771 RMB bn from Jan 2002 (Median) to Mar 2025, with 233 observations. The data reached an all-time high of 172.656 RMB bn in Nov 2021 and a record low of 15.589 RMB bn in Apr 2002. Retail Sales of Consumer Goods: Shanghai data remains active status in CEIC and is reported by Shanghai Municipal Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.HA: Retail Sales of Consumer Goods: Provincial and Municipal Statistical Bureau. [COVID-19-IMPACT]

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Statista (2025). Print book unit sales in the U.S. 2004-2024 [Dataset]. https://www.statista.com/statistics/422595/print-book-sales-usa/
Organization logo

Print book unit sales in the U.S. 2004-2024

Explore at:
8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

Data showing how many books were sold in 2024 revealed that the printed book market remains healthy: a total of ***** million units were sold that year among outlets which reported to the source. Whilst this marked a small jump from the previous year, the figure peaked in 2021 and has not surpassed *** million since. Trade paperbacks remained the dominant format. Book sales statistics Looking at book sales by year, 2005 to 2010 were the most lucrative for the printed book market, with well over *** million units sold annually during that five-year period. After dropping below *** million in 2012, gradual and consistent increases can be seen each year, with the exception of between the years 2018 and 2019. For bookstores though, how many books are sold each year depends on the success of key months across a twelve-month period. Bookstore sales in the United States are at their highest in December, January, and August, but figures for December are consistently higher than other months. Books are popular holiday gifts, with around ** to ** percent of consumers responding to annual surveys in each year from 2012 to 2020 saying that they planned to purchase books as presents during the festive season.

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