94 datasets found
  1. Return policies discouraging online purchases in the U.S. 2022

    • statista.com
    Updated Mar 24, 2025
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    Statista (2025). Return policies discouraging online purchases in the U.S. 2022 [Dataset]. https://www.statista.com/statistics/806051/return-policy-characteristics-preventing-customers-from-shopping/
    Explore at:
    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2022
    Area covered
    United States
    Description

    According to a 2022 survey of U.S. consumers, over half (55 percent) reported that the absence of by-mail options was the main reason they were discouraged from shopping online. The second most commonly cited deterrent was difficult-to-find return policies, with 31 percent of respondents. The need to contact customer support and the lack of a return tracking/portal followed closely, each cited by 28 percent of those surveyed.

  2. Consumer opinions on retail return policies worldwide 2020

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Consumer opinions on retail return policies worldwide 2020 [Dataset]. https://www.statista.com/statistics/1143014/consumer-opinions-on-retail-return-policies-worldwide/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    As of 2020, around ** percent of global consumers surveyed responded that they looked for retailers with easy product return policies when deciding where to make purchases. In addition, ** percent said they would switch to a different retailer if they had a bad experience with returning goods.

  3. U.S. shoppers admitting return fraud or e-commerce policy abuse 2022, by age...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). U.S. shoppers admitting return fraud or e-commerce policy abuse 2022, by age [Dataset]. https://www.statista.com/statistics/1341605/shoppers-admitting-return-fraud-e-commerce-policy-abuse-us-age-group/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2022
    Area covered
    United States
    Description

    In 2022, return fraud and e-commerce policy abuse were found to be more prevalent among younger buyers. Almost ********** of shoppers aged 18 to 29 admitted to engaging in these fraudulent practices while shopping online, whereas this proportion was ***** times lower among those aged 60 and above.

  4. Share of U.S. retailers that changed their return policies due to COVID-19...

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). Share of U.S. retailers that changed their return policies due to COVID-19 2020 [Dataset]. https://www.statista.com/statistics/1115492/changed-return-policies-of-retailers-due-to-coronavirus-us/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 17, 2020 - Mar 25, 2020
    Area covered
    Worldwide, United States
    Description

    40 percent of retail respondents reported that they adjusted their return policies during the coronavirus (COVID-19) pandemic, with a further 27 percent of retailers considering changes to their existing policy.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  5. Value of return fraud in retail and hospitality in North America and...

    • statista.com
    Updated May 26, 2025
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    Statista (2025). Value of return fraud in retail and hospitality in North America and worldwide 2019 [Dataset]. https://www.statista.com/statistics/1143026/retail-and-hospitality-return-fraud-cost-worldwide/
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    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    North America, Worldwide
    Description

    Return fraud in the retail and hospitality sector is a massive problem for retailers, equating to around 33.9 billion U.S. dollars worth of merchandise in North America, and 93 billion U.S. dollars worldwide.

  6. Malaysia Consumers: Challenges: Return: No Return Policy By Foreign...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Malaysia Consumers: Challenges: Return: No Return Policy By Foreign Retailers [Dataset]. https://www.ceicdata.com/en/malaysia/ecommerce-consumer-survey/consumers-challenges-return-no-return-policy-by-foreign-retailers
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    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, 2018
    Area covered
    Malaysia
    Description

    Malaysia Consumers: Challenges: Return: Number Return Policy By Foreign Retailers data was reported at 9.400 % in 2018. Malaysia Consumers: Challenges: Return: Number Return Policy By Foreign Retailers data is updated yearly, averaging 9.400 % from Dec 2018 (Median) to 2018, with 1 observations. Malaysia Consumers: Challenges: Return: Number Return Policy By Foreign Retailers data remains active status in CEIC and is reported by Malaysian Communications and Multimedia Commission. The data is categorized under Global Database’s Malaysia – Table MY.S026: E-Commerce Consumer Survey.

  7. o

    Replication data for: Return-to-Work Policies and Labor Supply in Disability...

    • openicpsr.org
    Updated May 1, 2018
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    Arezou Zaresani (2018). Replication data for: Return-to-Work Policies and Labor Supply in Disability Insurance Programs [Dataset]. http://doi.org/10.3886/E114450V1
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    Dataset updated
    May 1, 2018
    Dataset provided by
    American Economic Association
    Authors
    Arezou Zaresani
    Description

    Return-to-work policies in disability insurance (DI) programs allow beneficiaries to collect a portion of their benefits while working. I investigate whether a large increase in incentives to work in a return-to-work policy could induce benefit recipients to increase their labor supply. I quantify the effects on earnings and labor force participation using a sharp discontinuity in the induced incentives to work at the month of the policy change in a DI program in Canada. Using administrative data, I document that large incentives to work could induce beneficiaries to increase their labor supply both in intensive and extensive margins.

  8. z

    GAPs Data Repository on Return: Guideline, Data Samples and Codebook

    • zenodo.org
    • data.niaid.nih.gov
    Updated Feb 13, 2025
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    Zeynep Sahin Mencutek; Zeynep Sahin Mencutek; Fatma Yılmaz-Elmas; Fatma Yılmaz-Elmas (2025). GAPs Data Repository on Return: Guideline, Data Samples and Codebook [Dataset]. http://doi.org/10.5281/zenodo.14862490
    Explore at:
    Dataset updated
    Feb 13, 2025
    Dataset provided by
    RedCAP
    Authors
    Zeynep Sahin Mencutek; Zeynep Sahin Mencutek; Fatma Yılmaz-Elmas; Fatma Yılmaz-Elmas
    License

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

    Description

    The GAPs Data Repository provides a comprehensive overview of available qualitative and quantitative data on national return regimes, now accessible through an advanced web interface at https://data.returnmigration.eu/.

    This updated guideline outlines the complete process, starting from the initial data collection for the return migration data repository to the development of a comprehensive web-based platform. Through iterative development, participatory approaches, and rigorous quality checks, we have ensured a systematic representation of return migration data at both national and comparative levels.

    The Repository organizes data into five main categories, covering diverse aspects and offering a holistic view of return regimes: country profiles, legislation, infrastructure, international cooperation, and descriptive statistics. These categories, further divided into subcategories, are based on insights from a literature review, existing datasets, and empirical data collection from 14 countries. The selection of categories prioritizes relevance for understanding return and readmission policies and practices, data accessibility, reliability, clarity, and comparability. Raw data is meticulously collected by the national experts.

    The transition to a web-based interface builds upon the Repository’s original structure, which was initially developed using REDCap (Research Electronic Data Capture). It is a secure web application for building and managing online surveys and databases.The REDCAP ensures systematic data entries and store them on Uppsala University’s servers while significantly improving accessibility and usability as well as data security. It also enables users to export any or all data from the Project when granted full data export privileges. Data can be exported in various ways and formats, including Microsoft Excel, SAS, Stata, R, or SPSS for analysis. At this stage, the Data Repository design team also converted tailored records of available data into public reports accessible to anyone with a unique URL, without the need to log in to REDCap or obtain permission to access the GAPs Project Data Repository. Public reports can be used to share information with stakeholders or external partners without granting them access to the Project or requiring them to set up a personal account. Currently, all public report links inserted in this report are also available on the Repository’s webpage, allowing users to export original data.

    This report also includes a detailed codebook to help users understand the structure, variables, and methodologies used in data collection and organization. This addition ensures transparency and provides a comprehensive framework for researchers and practitioners to effectively interpret the data.

    The GAPs Data Repository is committed to providing accessible, well-organized, and reliable data by moving to a centralized web platform and incorporating advanced visuals. This Repository aims to contribute inputs for research, policy analysis, and evidence-based decision-making in the return and readmission field.

    Explore the GAPs Data Repository at https://data.returnmigration.eu/.

  9. M

    Malaysia Consumers: Challenges: Return: Return Policy Was Hard To Understand...

    • ceicdata.com
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    CEICdata.com, Malaysia Consumers: Challenges: Return: Return Policy Was Hard To Understand [Dataset]. https://www.ceicdata.com/en/malaysia/ecommerce-consumer-survey/consumers-challenges-return-return-policy-was-hard-to-understand
    Explore at:
    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, 2018
    Area covered
    Malaysia
    Description

    Malaysia Consumers: Challenges: Return: Return Policy Was Hard To Understand data was reported at 14.900 % in 2018. Malaysia Consumers: Challenges: Return: Return Policy Was Hard To Understand data is updated yearly, averaging 14.900 % from Dec 2018 (Median) to 2018, with 1 observations. Malaysia Consumers: Challenges: Return: Return Policy Was Hard To Understand data remains active status in CEIC and is reported by Malaysian Communications and Multimedia Commission. The data is categorized under Global Database’s Malaysia – Table MY.S026: E-Commerce Consumer Survey.

  10. Most convenient return policy characteristics for online purchases in the...

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Most convenient return policy characteristics for online purchases in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/754914/online-purchase-important-return-policy-characteristics/
    Explore at:
    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2020
    Area covered
    United States
    Description

    This statistic depicts the results of a survey regarding the most important return policy characteristics for online purchases in the United States in 2020. According to the survey, over 42 percent of the respondents thought it's important to have a packageless return.

  11. d

    Taxpayer Returns

    • catalog.data.gov
    • data.texas.gov
    • +2more
    Updated Jun 25, 2025
    + more versions
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    data.austintexas.gov (2025). Taxpayer Returns [Dataset]. https://catalog.data.gov/dataset/taxpayer-returns
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    Dataset updated
    Jun 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    See the attached PDF for a detailed description of each tax type. The Comptroller of Public Accounts is charged by statute, Tex. Gov’t Code § 403.0142, with reporting and posting the amounts of revenue remitted from each Texas municipality and county for taxes whose location information is available from tax returns. The revenue is presented by county only because specific cities could not be definitively determined from the report data. Returns submitted directly by local governments are open records and include their names and addresses. Due to confidentiality restrictions, amounts reported by businesses cannot be provided when less than four businesses report for a specific county. This data is posted quarterly, six months after the end of the quarterly data period to allow for collection actions when needed. See https://comptroller.texas.gov/about/policies/privacy.php for more information on our agency’s privacy and security policies

  12. z

    GAPs Data Repository on Return: Guideline, Data Samples and Codebook

    • zenodo.org
    Updated Jul 30, 2024
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    Zeynep Sahin Mencutek; Zeynep Sahin Mencutek; Fatma Yılmaz-Elmas; Fatma Yılmaz-Elmas (2024). GAPs Data Repository on Return: Guideline, Data Samples and Codebook [Dataset]. http://doi.org/10.5281/zenodo.10790795
    Explore at:
    Dataset updated
    Jul 30, 2024
    Dataset provided by
    RedCAP
    Authors
    Zeynep Sahin Mencutek; Zeynep Sahin Mencutek; Fatma Yılmaz-Elmas; Fatma Yılmaz-Elmas
    License

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

    Description

    The GAPs Data Repository provides an overview of available qualitative and quantitative data on national return regimes by structuring them into five main categories: profile, legislation, infrastructure, international cooperation and descriptive statistics. Each category, particularly statistics, includes several sub-categories. These categories are identified by consulting the literature review, existing datasets on migration, and insights from expertise/empirical data collection of 14 countries. The categories and sub-categories are chosen according to their relevance in understanding the return and readmission policies and practices, data accessibility, reliability, clarity as well as comparability. Data collection is carried out by national experts, entries are realized through REDCap Software ensuring a secure web connection with authentication and data logging. These enable systematic organisation, storage, and retrieval of data during and after the project. For viewing the entire data set or to contribute data entries please contact the coordinators of Horizon Europe project GAPs.

  13. Malaysia Consumers: Motivating Factor: Clear Return Policy

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Malaysia Consumers: Motivating Factor: Clear Return Policy [Dataset]. https://www.ceicdata.com/en/malaysia/ecommerce-consumer-survey/consumers-motivating-factor-clear-return-policy
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    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, 2018
    Area covered
    Malaysia
    Description

    Malaysia Consumers: Motivating Factor: Clear Return Policy data was reported at 35.800 % in 2018. Malaysia Consumers: Motivating Factor: Clear Return Policy data is updated yearly, averaging 35.800 % from Dec 2018 (Median) to 2018, with 1 observations. Malaysia Consumers: Motivating Factor: Clear Return Policy data remains active status in CEIC and is reported by Malaysian Communications and Multimedia Commission. The data is categorized under Global Database’s Malaysia – Table MY.S026: E-Commerce Consumer Survey.

  14. m

    Data for: Responsive Agents: Epu and Dollar-Pound Exchange Rate Return...

    • data.mendeley.com
    • narcis.nl
    Updated Oct 22, 2018
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    Zachary Bartsch (2018). Data for: Responsive Agents: Epu and Dollar-Pound Exchange Rate Return Volatility [Dataset]. http://doi.org/10.17632/5bjx2zzvd6.1
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    Dataset updated
    Oct 22, 2018
    Authors
    Zachary Bartsch
    License

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

    Description

    These files include the daily data and the code used to create all figures, tables, and preliminary data treatments. Includes EPU, VIX, & exchange rate returns.

  15. Retailer return policy accessibility in the U.S. 2022, by location

    • statista.com
    Updated Mar 24, 2025
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    Statista (2025). Retailer return policy accessibility in the U.S. 2022, by location [Dataset]. https://www.statista.com/statistics/1374422/retailers-return-policy-accessibility-us/
    Explore at:
    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2022
    Area covered
    United States
    Description

    In 2022, eight in ten retailers in the United States did not provide return policy accessibility through top navigation or banners, while 20 percent did not offer return policy accessibility through their website footer.

  16. g

    AI Search Data for "online course refund policy template"

    • geneo.app
    html
    Updated Jul 1, 2025
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    Geneo (2025). AI Search Data for "online course refund policy template" [Dataset]. https://geneo.app/query-reports/online-course-refund-policy-template
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    htmlAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Geneo
    Description

    Brand performance data collected from AI search platforms for the query "online course refund policy template".

  17. w

    Immigration system statistics data tables

    • gov.uk
    Updated May 22, 2025
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    Home Office (2025). Immigration system statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables
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    Dataset updated
    May 22, 2025
    Dataset provided by
    GOV.UK
    Authors
    Home Office
    Description

    List of the data tables as part of the Immigration System Statistics Home Office release. Summary and detailed data tables covering the immigration system, including out-of-country and in-country visas, asylum, detention, and returns.

    If you have any feedback, please email MigrationStatsEnquiries@homeoffice.gov.uk.

    Accessible file formats

    The Microsoft Excel .xlsx files may not be suitable for users of assistive technology.
    If you use assistive technology (such as a screen reader) and need a version of these documents in a more accessible format, please email MigrationStatsEnquiries@homeoffice.gov.uk
    Please tell us what format you need. It will help us if you say what assistive technology you use.

    Related content

    Immigration system statistics, year ending March 2025
    Immigration system statistics quarterly release
    Immigration system statistics user guide
    Publishing detailed data tables in migration statistics
    Policy and legislative changes affecting migration to the UK: timeline
    Immigration statistics data archives

    Passenger arrivals

    https://assets.publishing.service.gov.uk/media/68258d71aa3556876875ec80/passenger-arrivals-summary-mar-2025-tables.xlsx">Passenger arrivals summary tables, year ending March 2025 (MS Excel Spreadsheet, 66.5 KB)

    ‘Passengers refused entry at the border summary tables’ and ‘Passengers refused entry at the border detailed datasets’ have been discontinued. The latest published versions of these tables are from February 2025 and are available in the ‘Passenger refusals – release discontinued’ section. A similar data series, ‘Refused entry at port and subsequently departed’, is available within the Returns detailed and summary tables.

    Electronic travel authorisation

    https://assets.publishing.service.gov.uk/media/681e406753add7d476d8187f/electronic-travel-authorisation-datasets-mar-2025.xlsx">Electronic travel authorisation detailed datasets, year ending March 2025 (MS Excel Spreadsheet, 56.7 KB)
    ETA_D01: Applications for electronic travel authorisations, by nationality ETA_D02: Outcomes of applications for electronic travel authorisations, by nationality

    Entry clearance visas granted outside the UK

    https://assets.publishing.service.gov.uk/media/68247953b296b83ad5262ed7/visas-summary-mar-2025-tables.xlsx">Entry clearance visas summary tables, year ending March 2025 (MS Excel Spreadsheet, 113 KB)

    https://assets.publishing.service.gov.uk/media/682c4241010c5c28d1c7e820/entry-clearance-visa-outcomes-datasets-mar-2025.xlsx">Entry clearance visa applications and outcomes detailed datasets, year ending March 2025 (MS Excel Spreadsheet, 29.1 MB)
    Vis_D01: Entry clearance visa applications, by nationality and visa type
    Vis_D02: Outcomes of entry clearance visa applications, by nationality, visa type, and outcome

    Additional dat

  18. s

    Solar Services Data

    • showlowsolar.com
    Updated Jun 5, 2025
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    (2025). Solar Services Data [Dataset]. https://showlowsolar.com/return-policy
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    Dataset updated
    Jun 5, 2025
    Description

    Structured data for AI assistants about solar services

  19. Main procedures for D2C online returns in Germany 2023

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Main procedures for D2C online returns in Germany 2023 [Dataset]. https://www.statista.com/statistics/1447012/d2c-online-returns-methods-germany/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Feb 2023
    Area covered
    Germany
    Description

    A study carried out in Germany in 2023 indicated that most digital direct-to-consumer (D2C) provide a poor return experience to their customers. ** percent brands leave the online returns to customers' initiative, while another ** percent of them involve customer service in the process. In turn, ** percent of established corporate brands attach the return label to the delivery, a procedure used by only ***** percent of D2C brands.

  20. Energy Data Exchange

    • catalog.data.gov
    • gimi9.com
    Updated May 2, 2025
    + more versions
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    DOE/Office of Fossil Energy (2025). Energy Data Exchange [Dataset]. https://catalog.data.gov/dataset/energy-data-exchange
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    Dataset updated
    May 2, 2025
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Description

    EDX is the Department of Energy (DOE)/Fossil Energy Carbon Management (FECM) virtual library and data laboratory built to find, connect, curate, use and re-use data to advance fossil energy and environmental R&D. Developed and maintained by the National Energy Technology Laboratory (NETL), EDX supports the entire life cycle of data by offering secure, private collaborative workspaces for ongoing research projects until they mature and become catalogued, curated, and published. EDX adheres to DOE Cyber policies as well as domestic and international standards for data curation and citation. This ensures data products pushed public via EDX are afforded a citation for proper accreditation and complies with journal publication requirements.

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Statista (2025). Return policies discouraging online purchases in the U.S. 2022 [Dataset]. https://www.statista.com/statistics/806051/return-policy-characteristics-preventing-customers-from-shopping/
Organization logo

Return policies discouraging online purchases in the U.S. 2022

Explore at:
Dataset updated
Mar 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jul 2022
Area covered
United States
Description

According to a 2022 survey of U.S. consumers, over half (55 percent) reported that the absence of by-mail options was the main reason they were discouraged from shopping online. The second most commonly cited deterrent was difficult-to-find return policies, with 31 percent of respondents. The need to contact customer support and the lack of a return tracking/portal followed closely, each cited by 28 percent of those surveyed.

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