51 datasets found
  1. Customers who stopped doing business due to poor customer service U.S....

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Customers who stopped doing business due to poor customer service U.S. 2016-2020 [Dataset]. https://www.statista.com/statistics/815568/customers-who-stopped-doing-business-due-to-poor-customer-service-us/
    Explore at:
    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the share of customers in the United States who stopped doing business with a company due to poor customer service from 2016 to 2020. During the 2020 survey, 40 percent of customers stated they stopped doing business with a company due to poor customer service.

  2. Share of customers by poor customer service experiences U.S.& worldwide 2018...

    • statista.com
    Updated Jul 6, 2022
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    Statista (2022). Share of customers by poor customer service experiences U.S.& worldwide 2018 [Dataset]. https://www.statista.com/statistics/810573/share-of-customers-by-poor-customer-service-experiences/
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    Dataset updated
    Jul 6, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Worldwide, United States
    Description

    This statistic shows the share of customers in the U.S. and worldwide by their opinion about the most frustrating aspect of a poor customer service experience in 2018. During the survey, 18 percent of respondents from the United States cited not being able to resolve their issue on their own using self-service as one of the most frustrating aspects of a poor customer service experience.

  3. Customers by share lost due to poor service experience U.S.& worldwide 2018

    • statista.com
    Updated Jul 6, 2022
    + more versions
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    Statista (2022). Customers by share lost due to poor service experience U.S.& worldwide 2018 [Dataset]. https://www.statista.com/statistics/810562/customers-by-share-lost-due-to-poor-service-experience/
    Explore at:
    Dataset updated
    Jul 6, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Worldwide, United States
    Description

    This statistic shows the share of customers in the U.S. and worldwide by if they have ever stopped doing business with a brand due to a poor customer service experience in 2018. During the survey, 62 percent of respondents from the United States stated that they have stopped doing business with a brand due to a poor customer service experience.

  4. S

    Customer Service Statistics and Facts (2025)

    • sci-tech-today.com
    Updated Jun 23, 2025
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    Sci-Tech Today (2025). Customer Service Statistics and Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/customer-service-statistics/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Customer Service Statistics: Customer service is a crucial component of business operations, significantly affecting customer retention and revenue generation. Research shows that 88% of customers are more likely to make repeat purchases when they receive excellent customer service. On the other hand, U.S. companies lose approximately USD 75 billion each year due to poor customer service.

    Consumer expectations have evolved; 80% of consumers believe that the experience a company provides is just as important as its products and services. Additionally, 45% of consumers expect their issues to be resolved during their first interaction.

    The use of artificial intelligence (AI) in customer service is increasing, with 56% of companies currently employing AI-powered chatbots to improve their operations. Projections indicate that by 2025, 85% of customer interactions will be managed without human intervention, thanks to advancements in AI. However, the human touch remains essential, as 80% of consumers expect to interact with a live agent when they contact a company.

    These statistics illustrate the vital role of exceptional customer service in building loyalty and driving business success.

  5. Share of customers by poor customer service experiences by age worldwide...

    • statista.com
    Updated Jul 6, 2022
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    Statista (2022). Share of customers by poor customer service experiences by age worldwide 2018 [Dataset]. https://www.statista.com/statistics/810594/share-of-customers-by-poor-customer-service-experiences-by-age/
    Explore at:
    Dataset updated
    Jul 6, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Worldwide
    Description

    This statistic shows the share of customers worldwide by their opinion about the most frustrating aspect of a poor customer service experience in 2018, by age. During the survey, 26 percent of respondents, aged between 18 and 34 years, cited not being able to resolve their issue on their own using self-service as one of the most frustrating aspect of a poor customer service experience.

  6. Companies with the worst rated customer service in the U.S. 2020

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Companies with the worst rated customer service in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/657936/companies-with-worst-customer-service-us/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 25, 2020 - Sep 27, 2020
    Area covered
    United States
    Description

    *******, the television provider, was voted as the worst rated company for customer service in the United States in 2020, receiving the largest share of negative responses (** percent). Second in the list came Well Fargo and DIRECTV, with ** percent of respondents to the survey complaining about poor customer service. Customer service in the U.S. Good customer service is imperative for a company to do well and keep their customers. In 2020, 58 percent of customers in the United States have contacted customer service in the past month, while 40 percent of customers reported that they stopped doing business with a company as a result of poor customer service. This indicates that poor customer service is a significant deal breaker for a large part of consumers. The most used method to contact customer service is through voice channels, with ** percent of respondents mentioning it as their preferred method. Chatbots Another tool used in customer service is chatbots. Chatbots are artificial intelligence used to respond via online messaging and replacing the human factor. If customers had accessibility to effective chatbots, they would have a variety of benefits. However, 64 percent of respondents say they expect to enjoy 24-hour service the most. On the other hand, ** percent of respondents said that they would stop using a chatbot if they could deal with a real-life assistant. Additionally, ** percent of customers reported that their number one dislike of using chatbots was that it kept them from using a live person.

  7. U.S. lost sales due to poor customer service experiences 2012

    • statista.com
    Updated May 2, 2012
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    Statista (2012). U.S. lost sales due to poor customer service experiences 2012 [Dataset]. https://www.statista.com/statistics/225258/us-lost-sales-due-to-poor-customer-service/
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    Dataset updated
    May 2, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This survey details U.S. consumers' decisions on whether or not to conduct a business transaction based on customer service experiences. Some ** percent of respondents said that they had decided not to make a purchase due to poor customer service experienced in the past year.

  8. Bad customer experience consequences in Western Europe and the U.S. 2021

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Bad customer experience consequences in Western Europe and the U.S. 2021 [Dataset]. https://www.statista.com/statistics/1358520/bad-customer-experience-consequences/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2021
    Area covered
    United States
    Description

    According to a survey conducted in September 2021 in France, Germany, United Kingdom, and United States, almost half of responding consumers said they were most likely to switch to a competitor when their expectations fail to be met by companies and brands. Another ** percent of respondents stated that they would tell others about their bad experience.

  9. Actions shoppers took in response to poor customer service in the U.S. 2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Actions shoppers took in response to poor customer service in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1479115/shoppers-response-to-poor-customer-service-usa/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2024
    Area covered
    United States
    Description

    According to a survey conducted in March 2024 among online shoppers, ** percent of consumers in the United States had stopped shopping with a brand they received poor customer service from, while ** percent of them had written a bad review online. Meanwhile, about ** percent had shared their experience on social media.

  10. g

    Quarterly Service Statistics of NGO Health Service Delivery Project (NHSDP)...

    • gimi9.com
    Updated Jul 1, 2024
    + more versions
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    (2024). Quarterly Service Statistics of NGO Health Service Delivery Project (NHSDP) from NGOs | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_quarterly-service-statistics-of-ngo-health-service-delivery-project-nhsdp-from-ngos/
    Explore at:
    Dataset updated
    Jul 1, 2024
    License

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

    Description

    NHSDP is a five-year, USAID- and DFID-funded project designed to increase quality of and access to an essential package of health services (ESP) in Bangladesh, especially among poor and under-served rural and urban populations. In order to achieve this, the project will directly engage with the Sujer Hashi network of 26 service delivery NGOs to strengthen the delivery and local ownership of health services through the provision of clinical and organizational technical support and capacity building.

  11. f

    Descriptive statistics of satisfaction constructs (after rescaled), December...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Nimona Berhanu; Zewdie Birhanu; Tidenek Mulugeta; Tadesse Gudeta; Belachew Umeta; Gizachew Tilahun (2023). Descriptive statistics of satisfaction constructs (after rescaled), December 2020. [Dataset]. http://doi.org/10.1371/journal.pone.0275089.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Nimona Berhanu; Zewdie Birhanu; Tidenek Mulugeta; Tadesse Gudeta; Belachew Umeta; Gizachew Tilahun
    License

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

    Description

    Descriptive statistics of satisfaction constructs (after rescaled), December 2020.

  12. C

    Global Headrest and Lumbar Support Market Global Trade Dynamics 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Headrest and Lumbar Support Market Global Trade Dynamics 2025-2032 [Dataset]. https://www.statsndata.org/report/headrest-and-lumbar-support-market-313356
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Jun 2025
    Authors
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Headrest and Lumbar Support market has gained substantial traction in recent years, driven by an increasing awareness of the importance of ergonomic design in both personal and professional settings. As more individuals recognize the adverse effects of poor posture, the demand for headrests and lumbar support so

  13. c

    Great Britain Historical Database : Labour Markets Database, Poor Law...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 28, 2024
    + more versions
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    Gilbert, D. R., University of London, Queen Mary and Westfield College; Southall, H. R., University of London, Queen Mary and Westfield College; Gregory, I., University of London, Queen Mary and Westfield College (2024). Great Britain Historical Database : Labour Markets Database, Poor Law Statistics, 1859-1939 [Dataset]. http://doi.org/10.5255/UKDA-SN-3713-1
    Explore at:
    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Department of Geography
    Authors
    Gilbert, D. R., University of London, Queen Mary and Westfield College; Southall, H. R., University of London, Queen Mary and Westfield College; Gregory, I., University of London, Queen Mary and Westfield College
    Time period covered
    Jan 1, 1977 - Jan 1, 1996
    Area covered
    England
    Variables measured
    National, Poor, Administrative units (geographical/political)
    Measurement technique
    Transcription, Compilation/Synthesis
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

    The Great Britain Historical GIS Project has also produced digitised boundary data, which can be obtained from the UK Data Service Census Support service. Further information is available at census.ukdataservice.ac.uk


    Main Topics:

    The Great Britain Historical Database is a large database of British nineteenth and twentieth-century statistics. Where practical the referencing of spatial units has been integrated, data for different dates have been assembled into single tables.

    The Great Britain Historical Database currently contains :

    • Statistics from the 1861 Census and the Registrar General's reports, 1851-1861
    • Employment statistics from the census, 1841-1931
    • Demographic statistics from the census, 1841-1931
    • Mortality statistics from the Registrar General's reports, 1861-1920
    • Marriage statistics from the Registrar General's reports, 1841-1870
    • Trade union statistics for the Amalgamated Society of Engineers (ASE), 1851-1918
    • Trade union statistics for the Amalgamated Society of Carpenters and Joiners (ASCJ), 1863-1912
    • Official poor law statistics, 1859-1915 and 1919-1939
    • Wage statistics, 1845-1906
    • Hours of work statistics, 1900-1913
    • Small debt statistics from county courts, 1847-1913 and 1938

    There are eight tables in this part of the Great Britain Historical Database :

    Plaw_c holds county-level data for England and Wales on numbers of paupers taken from the Annual Reports of the Poor Law Board and later the Local Government Board for 1st January and 1st July from January 1859 to January 1915, plus January 1919.

    Plaw_c_f holds a full transcript of county-level pauperage statistics for England and Wales taken from the Annual Reports of the Poor Law Board and later the Local Government Board for 1st January and 1st July 1860, 1863, 1866, 1868 and 1879.

    Plaw_u holds data taken from the Returns to Parliament made by the Poor Law Board, and later the Local Government Board listing number of paupers in each poor law union on the 1st January and 1st July. Coverage is as follows: all poor law unions in Lancashire for 1st January and 1st July from 1860 to 1871; all poor law unions in England and Wales for 1st January only from 1900 to 1912; all unions in London, Lancashire, Durham and selected major urban unions for 1st January and 1st July in 1875, 1879 and 1880.

    Plaw_u_f contains a full transcript of poor law union-level pauperage statistics for selected unions taken from the Returns to Parliament. Coverage is as follows: all poor law unions in Lancashire for 1st January and 1st July from 1860 to 1871; all unions in Suffolk, Norfolk, Cambridgeshire, Lincolnshire, Nottinghamshire, Derbyshire, Cheshire and the East and West Ridings of Yorkshire for 1st January and 1st July in 1860, 1863, 1866, 1868 and 1869.

    Plaw_iw holds inter-war poor law statistics taken from the Returns to Parliament for 1st January only for all poor law unions in England and Wales from 1922 to 1930, and for all counties and county-boroughs in England and Wales from 1931 to 1939.

    Plaw_20 holds poor law statistics for England and Wales for 1920 and 1921 for selected poor law union for 1st January only.

    Plu_gaz converts names of poor law unions as they appear in plaw_u, plaw_u_f, plaw_iw and plaw_20 into the form used in the GIS.

    Plu_gis holds names and counties of poor law unions as they appear in the GIS; used for checking names and constructing plu_gaz.

    Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

  14. Customer churn rate by industry U.S. 2020

    • statista.com
    Updated Nov 9, 2024
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    Statista (2024). Customer churn rate by industry U.S. 2020 [Dataset]. https://www.statista.com/statistics/816735/customer-churn-rate-by-industry-us/
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    Dataset updated
    Nov 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2020
    Area covered
    United States
    Description

    Although the results were close, the industry in the United States where customers were most likely to leave their current provider due to poor customer service appears to be cable television, with a 25 percent churn rate in 2020.

    Churn rate

    Churn rate, sometimes also called attrition rate, is the percentage of customers that stop utilizing a service within a time given period. It is often used to measure businesses which have a contractual customer base, especially subscriber-based service models.

  15. Maternal & Child Survival Program: Service Statistics on Integrated Family...

    • catalog.data.gov
    Updated Jun 25, 2024
    + more versions
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    data.usaid.gov (2024). Maternal & Child Survival Program: Service Statistics on Integrated Family Planning (IFP) and Expanded Program on Immunization Integration (EPI) in Liberia (2017) [Dataset]. https://catalog.data.gov/dataset/maternal-child-survival-program-service-statistics-on-integrated-family-planning-ifp-and-e
    Explore at:
    Dataset updated
    Jun 25, 2024
    Dataset provided by
    United States Agency for International Developmenthttp://usaid.gov/
    Area covered
    Liberia
    Description

    This data asset from the Maternal Child Survival Program (MCSP) details service statistics for a program that integrated Family Planning (IFP) and Expanded Program on Immunization (EPI). After the end of Liberia's civil war in 2003, the country faced enormous challenges to rebuild the crippled health care system and provide adequate health services for its people. These challenges included weak logistics, transportation and communications systems, as well as insufficient access to care and poor referral networks, particularly in remote rural areas. The Maternal and Child Health Integrated Program (MCHIP) aim was to strengthen Family Planning Services. Its primary mission was to provide technical support to the Ministry of Health and Social Welfare (MOHSW) through training and building in-country capacity for service delivery, monitoring and training of clinic staff and community-based workers in FP and reproductive health (RH). MCHIP played an instrumental role in repositioning FP as an important service within postpartum care, improving the quality of FP service delivery and developing an integrated approach to FP.

  16. FIRE0708: previous data tables

    • gov.uk
    Updated Sep 6, 2018
    + more versions
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    Home Office (2018). FIRE0708: previous data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fire0708-previous-data-tables
    Explore at:
    Dataset updated
    Sep 6, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    FIRE0708: Percentage of smoke alarms that operated but did not raise the alarm in primary fires and fires resulting in casualties in other buildings, by reason for poor outcome (19 September 2024)

    https://assets.publishing.service.gov.uk/media/66e3f7dee47cfc6de429d653/fire-statistics-data-tables-fire0708-210923.xlsx">FIRE0708: Percentage of smoke alarms that operated but did not raise the alarm in primary fires and fires resulting in casualties in other buildings, by reason for poor outcome (21 September 2023) (MS Excel Spreadsheet, 45.5 KB)

    https://assets.publishing.service.gov.uk/media/650acec3fbd7bc0013cb51eb/fire-statistics-data-tables-fire0708-290922.xlsx">FIRE0708: Percentage of smoke alarms that operated but did not raise the alarm in primary fires and fires resulting in casualties in other buildings, by reason for poor outcome (29 September 2022) (MS Excel Spreadsheet, 41.8 KB)

    https://assets.publishing.service.gov.uk/media/6331882cd3bf7f56780761d0/fire-statistics-data-tables-fire0708-300921.xlsx">FIRE0708: Percentage of smoke alarms that operated but did not raise the alarm in primary fires and fires resulting in casualties in other buildings, by reason for poor outcome (30 September 2021) (MS Excel Spreadsheet, 49.3 KB)

    https://assets.publishing.service.gov.uk/media/6151ed5de90e077a2a6bd17f/fire-statistics-data-tables-fire0708-011020.xlsx">FIRE0708: Percentage of smoke alarms that operated but did not raise the alarm in primary fires and fires resulting in casualties in other buildings, by reason for poor outcome (1 October 2020) (MS Excel Spreadsheet, 38.7 KB)

    https://assets.publishing.service.gov.uk/media/5f71ef3fd3bf7f47a0450be3/fire-statistics-data-tables-fire0708-120919.xlsx">FIRE0708: Percentage of smoke alarms that operated but did not raise the alarm in primary fires and fires resulting in casualties in other buildings, by reason for poor outcome (12 September 2019) (MS Excel Spreadsheet, 26.7 KB)

    https://assets.publishing.service.gov.uk/media/5d765148e5274a27cdb2c9c8/fire-statistics-data-tables-fire0708-060918.xlsx">FIRE0708: Percentage of smoke alarms that operated but did not raise alarm by reason for outcome (6 September 2018) (MS Excel Spreadsheet, 22.7 KB)

    https://assets.publishing.service.gov.uk/media/5b8d54d1e5274a0bf87d420b/fire-statistics-data-tables-fire0708.xlsx">FIRE0708: Percentage of smoke alarms that operated but did not raise alarm by reason for outcome (12 October 2017) (MS Excel Spreadsheet, 31.5 KB)

    Related content

    Fire statistics data tables
    Fire statistics guidance
    Fire statistics

  17. C

    Global Ergonomic Back Cushion Market Scenario Forecasting 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jul 2025
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    Stats N Data (2025). Global Ergonomic Back Cushion Market Scenario Forecasting 2025-2032 [Dataset]. https://www.statsndata.org/report/ergonomic-back-cushion-market-288639
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Jul 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Ergonomic Back Cushion market has emerged as a significant sector within the broader wellness and furniture industry, primarily driven by the increased awareness of health issues related to prolonged sitting and poor posture. Designed to support the natural curvature of the spine, ergonomic back cushions help al

  18. e

    Scottish Poor Law Commission Statistics, 1844 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 22, 2023
    + more versions
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    (2023). Scottish Poor Law Commission Statistics, 1844 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/84f6ba28-9197-55a6-9976-e47861c3fb29
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    Dataset updated
    Oct 22, 2023
    Area covered
    Scotland
    Description

    Abstract copyright UK Data Service and data collection copyright owner. This study uses statistics from the Report of the Scottish Poor Law Commissioners (1844) to investigate and map the condition of the Scottish working class in 1843 on a parish by parish basis. The stated aim of the Scottish Poor Law Commissioners investigation in 1843 was To make a diligent and full inquiry into the practical operation of laws which provide for the relief of the poor in Scotland (from the opening remarks of the Commissioners, volume 20), which was carried out in 1843. Main Topics: Poor relief, parishes, food, prices, wages, occupations, rents, housing, rural facilities, language and emigration. Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

  19. b

    Apple Statistics (2025)

    • businessofapps.com
    Updated Mar 16, 2021
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    Business of Apps (2021). Apple Statistics (2025) [Dataset]. https://www.businessofapps.com/data/apple-statistics/
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    Dataset updated
    Mar 16, 2021
    Dataset authored and provided by
    Business of Apps
    License

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

    Description

    Apple is one of the most influential and recognisable brands in the world, responsible for the rise of the smartphone with the iPhone. Valued at over $2 trillion in 2021, it is also the most valuable...

  20. Public opinion on customer service at restaurants in the U.S. 2022

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Public opinion on customer service at restaurants in the U.S. 2022 [Dataset]. https://www.statista.com/statistics/1334909/opinion-customer-service-restaurants-us/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2022 - Mar 10, 2022
    Area covered
    United States
    Description

    A March 2022 survey asked the public about their opinion on customer service at restaurants in the United States. The majority of respondents, ** percent, reported having a good opinion of customer service. Meanwhile, **** percent of respondents had a poor opinion.

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Statista (2024). Customers who stopped doing business due to poor customer service U.S. 2016-2020 [Dataset]. https://www.statista.com/statistics/815568/customers-who-stopped-doing-business-due-to-poor-customer-service-us/
Organization logo

Customers who stopped doing business due to poor customer service U.S. 2016-2020

Explore at:
Dataset updated
Dec 10, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

This statistic shows the share of customers in the United States who stopped doing business with a company due to poor customer service from 2016 to 2020. During the 2020 survey, 40 percent of customers stated they stopped doing business with a company due to poor customer service.

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