78 datasets found
  1. g

    Business Failures by Industry in the United States, 1895 to 1940: A...

    • search.gesis.org
    Updated May 7, 2021
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    ICPSR - Interuniversity Consortium for Political and Social Research (2021). Business Failures by Industry in the United States, 1895 to 1940: A Statistical History - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR34016
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    Dataset updated
    May 7, 2021
    Dataset provided by
    GESIS search
    ICPSR - Interuniversity Consortium for Political and Social Research
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de450261https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de450261

    Area covered
    United States
    Description

    Abstract (en): Dun's Review began publishing monthly data on business failures by branch of business during the 1890s. At that time, a business failure was defined as a concern which was involved in a court proceeding or voluntary action which was likely to end in loss to creditors. Liabilities of failed businesses were defined "as all liabilities except long-term publicly-held obligations, chiefly bonds." Dun's published data on failures by branch of business from 1895 through 1935. This dataset reconstructs that series and links it to its successors. The successor series include data on business failures by division of industry, which Dun and Bradstreet's published from 1934 through 1940. This study includes six parts. Part One contains aggregate liabilities in dollars, broken down by branch, month, and year. Part Two contains aggregate numbers of business failures broken down by branch, month, and year. Part Three contains aggregate liability in dollars broken down by division, month, and year. Part Four contains aggregate numbers of business failures broken down by division, month, and year. Part Five contains aggregate liabilities broken down by sector, month, and year. Part Six contains aggregate numbers of business failures broken down by sector, month, and year. Part One and Part Two contain 36 variables and 562 cases. Part Three and Part Four contain 51 variables and 60 cases. Part Five and Part Six contain 6 variables and 562 cases. This study allows for economic analysis of business failures. It is intended to provide a resource on business failure and liabilites from 1895 to 1940. Data originally collected from court filings at municipal, county, state, and United States district court houses throughout the United States from 1895 through 1940. Data published periodically by R. G. Dun and Company, Bradstreet's Company, and their successors through 1940. From their publications, the principal investigators collected, cleaned, compiled, and computerized the current data series. Variables include monthly, unadjusted, liabilities and monthly, unadjusted, number of failures for different branches, sectors, divisons. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Businesses that failed in the United States from 1895 through 1940. Smallest Geographic Unit: United States The data consist of the aggregate number of corporations filing for bankruptcy in various industries each month in the United States and the total liabilities of those corporations. Please refer to the codebook for sampling information in the "Original P.I. Documentation" section. Additional information can be found by visiting the National Bureau of Economic Research (NBER) Web site. For additional information on these datasets please see the National Bureau of Economic Research (NBER) Web site.The dates in the Original P.I. Documentation for Business Failures by Industry in the United States range from 1895 to 1939, however, the data range from 1895 to 1940. The title for ICPSR 34016 has been changed to reflect the data.

  2. b

    Small Business Statistics and Trends for 2025

    • bizplanr.ai
    html
    Updated Jun 1, 2025
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    Bizplanr (2025). Small Business Statistics and Trends for 2025 [Dataset]. https://bizplanr.ai/blog/small-business-statistics
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Bizplanr
    Time period covered
    2025
    Area covered
    Global
    Description

    A comprehensive dataset covering small business statistics in 2025, including failure rates, growth data, average revenue, number of employees, and market insights.

  3. F

    Number of Business Failures, Trading Companies for United States

    • fred.stlouisfed.org
    json
    Updated Aug 17, 2012
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    (2012). Number of Business Failures, Trading Companies for United States [Dataset]. https://fred.stlouisfed.org/series/M0931CUSM474NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 17, 2012
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Number of Business Failures, Trading Companies for United States (M0931CUSM474NNBR) from Jan 1939 to Mar 1958 about failures, companies, trade, business, and USA.

  4. Main reasons for start-ups going bankrupt globally 2022

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Main reasons for start-ups going bankrupt globally 2022 [Dataset]. https://www.statista.com/statistics/1271464/start-up-failure-reasons/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    According to the survey carried out among start-up owners, the main reasons why their businesses did not work out was a lack of financing, with nearly half percent of the start-ups giving this as the main reason for their business failure. Moreover, the COVID-19 pandemic played a role in one third of business failures. There is rarely one reason behind a company going bankrupt, it is rather a mixture of several issues, as reflected in the many reasons stated by the respondents.

  5. E

    Startup Failure Rate Statistics and Facts

    • electroiq.com
    Updated Jan 31, 2025
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    Electro IQ (2025). Startup Failure Rate Statistics and Facts [Dataset]. https://electroiq.com/stats/startup-failure-rate-statistics/
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    Dataset updated
    Jan 31, 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

    Startup Failure Rate Statistics: Launching a new business can be both exciting and promising, but it also comes with its share of ups and downs. Understanding the reasons behind startup failures can help aspiring entrepreneurs navigate challenges more effectively. By analyzing data on these failures, entrepreneurs can develop strategies to mitigate risks and create adaptable business plans that increase their chances of success.

    This article presents statistics on startup failures, highlighting what potential new businesses may encounter and how to prepare for these challenges. Being informed, developing a clear strategy, and stepping out with confidence are essential for overcoming obstacles in the entrepreneurial journey.

  6. Share of possible entrepreneurs with fear of failure worldwide 2023, by...

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Share of possible entrepreneurs with fear of failure worldwide 2023, by country [Dataset]. https://www.statista.com/statistics/268788/fear-of-failure-start-ups-in-leading-economic-nations/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2023 - Jun 2023
    Area covered
    Worldwide
    Description

    In 2023, less than one in five in Iran who saw good opportunities for starting a business in the country were deterred by a fear of failure. This was the lowest of the 48 countries where this survey was conducted. South Korea followed in second with 27 percent fearing to fail, with Switzerland in third. On the other hand, nearly two thirds of potential entrepreneurs in China were deterred by fear of failure, a concern that also was high in South Africa, India, and Saudi Arabia.

  7. One-year business survival rates in Europe 2018, by country

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). One-year business survival rates in Europe 2018, by country [Dataset]. https://www.statista.com/statistics/1114070/eu-business-survival-rates-by-country/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Europe, European Union
    Description

    Almost one in five new businesses in the European Union failed in their first year according to the one-year business survival rates in the European Union for 2018. In this year, the country with the highest business survival rate was Greece, which had a one-year survival rate of 96.7 percent, while Lithuania had the lowest at 63.57.

  8. s

    Small Business Statistics By Industry

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Small Business Statistics By Industry [Dataset]. https://www.searchlogistics.com/learn/statistics/small-business-statistics/
    Explore at:
    Dataset updated
    Apr 1, 2025
    License

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

    Description

    The following small business statistics broken down by industry to help you understand the small business landscape better.

  9. Startup failure rate in Africa 2020, by country

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Startup failure rate in Africa 2020, by country [Dataset]. https://www.statista.com/statistics/1295678/startup-failure-rate-in-africa-by-country/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Africa
    Description

    As of 2020, the average startup failure rate in Africa stood at ** percent. However, the rate differed across countries. In Ethiopia and Rwanda, ** percent of the startups ceased operations, while Kenyan startups had a failure rate of ** percent in the same year.

  10. S

    Small Business Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    Search Logistics (2025). Small Business Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/small-business-statistics/
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Search Logistics
    License

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

    Description

    These small business statistics will tell you everything you need to know about the growth of business and where it’s going in the future.

  11. s

    COVID-19 Impact On Small Businesses Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). COVID-19 Impact On Small Businesses Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/small-business-statistics/
    Explore at:
    Dataset updated
    Apr 1, 2025
    License

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

    Description

    27% of the entire small business workforce had to be laid off or furloughed in 2020 due to the COVID-19 pandemic.

  12. s

    Minority-Owned Businesses Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Minority-Owned Businesses Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/small-business-statistics/
    Explore at:
    Dataset updated
    Apr 1, 2025
    License

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

    Description

    The below table shows a complete breakdown of employer businesses owned by minorities.

  13. Number of impacted stores of failed companies in the United Kingdom...

    • statista.com
    Updated Mar 11, 2025
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    Statista (2025). Number of impacted stores of failed companies in the United Kingdom 2007-2024 [Dataset]. https://www.statista.com/statistics/1260205/number-of-impacted-stores-of-failed-companies-in-the-united-kingdom/
    Explore at:
    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    According to data from the United Kingdom, the reported number of affected stores of failed retail companies during 2024 had reached a total of over 7,500. This is the highest number of stores affected in the past ten years and is even higher than the more than 5,000 stores that were likely affected as a result of the coronavirus (COVID-19) pandemic in 2020.

  14. Colombia: distribution of start-ups that failed by business type 2017

    • statista.com
    Updated Dec 2, 2024
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    Statista (2024). Colombia: distribution of start-ups that failed by business type 2017 [Dataset]. https://www.statista.com/statistics/879045/colombia-failed-startup-distribution-business-type/
    Explore at:
    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    Colombia
    Description

    This statistic represents the results of a survey on the failed start-up distribution by type of business in Colombia in 2017. In that year, most of the failed start-up businesses in Colombia belonged to the services sector with a share of 74.36 percent.

  15. France Business Failures: swda: Judicial Decision Day(JD): Total

    • ceicdata.com
    Updated May 15, 2018
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    CEICdata.com (2018). France Business Failures: swda: Judicial Decision Day(JD): Total [Dataset]. https://www.ceicdata.com/en/france/business-failure/business-failures-swda-judicial-decision-dayjd-total
    Explore at:
    Dataset updated
    May 15, 2018
    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
    May 1, 2017 - Apr 1, 2018
    Area covered
    France
    Variables measured
    Enterprises Survey
    Description

    France Business Failures: swda: Judicial Decision Day(JD): Total data was reported at 4,344.000 Unit in Apr 2018. This records an increase from the previous number of 4,257.000 Unit for Mar 2018. France Business Failures: swda: Judicial Decision Day(JD): Total data is updated monthly, averaging 4,657.000 Unit from Jan 1990 (Median) to Apr 2018, with 340 observations. The data reached an all-time high of 5,889.000 Unit in Mar 2015 and a record low of 1,571.000 Unit in Mar 2001. France Business Failures: swda: Judicial Decision Day(JD): Total data remains active status in CEIC and is reported by Bank of France. The data is categorized under Global Database’s France – Table FR.S002: Business Failure.

  16. s

    Women-Owned Businesses Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Women-Owned Businesses Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/small-business-statistics/
    Explore at:
    Dataset updated
    Apr 1, 2025
    License

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

    Description

    According to a new study, women started 49% of new businesses in the United States in 2021. This is way up from 28% in 2019.

  17. New enterprise survival rate in the UK 2007-2023

    • statista.com
    • ai-chatbox.pro
    Updated Dec 9, 2024
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    Statista (2024). New enterprise survival rate in the UK 2007-2023 [Dataset]. https://www.statista.com/statistics/285305/new-enterprise-survival-rate-in-the-uk/
    Explore at:
    Dataset updated
    Dec 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    As of 2023, UK business enterprises founded in 2022 had a one-year survival rate of 92.3 percent, compared with 93.4 percent in the previous year. For businesses founded in 2018, just 39.4 percent were still operating in 2022.

  18. Latin America: intentions to start a new business after start-up failed 2017...

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Latin America: intentions to start a new business after start-up failed 2017 [Dataset]. https://www.statista.com/statistics/879579/latin-america-failed-startup-business-intentions/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    LAC, Latin America
    Description

    This statistic shows the results of a survey on attitudes towards starting a new business after a failure in selected countries in Latin America in 2017. That year, 18 percent of the entrepreneurs surveyed in Mexico stated they did not have any intention to start a new business after facing failure.

  19. Data for: Entrepreneurial Business Failure and Subsequent Entrepreneurial...

    • figshare.com
    bin
    Updated May 30, 2025
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    Yongdong Shi; Xinyu Zhang; Yuxiao Liu (2025). Data for: Entrepreneurial Business Failure and Subsequent Entrepreneurial Intention: The Sequential Mediating Roles of Passion and Resilience [Dataset]. http://doi.org/10.6084/m9.figshare.29195603.v1
    Explore at:
    binAvailable download formats
    Dataset updated
    May 30, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Yongdong Shi; Xinyu Zhang; Yuxiao Liu
    License

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

    Description

    Data for 478 Chinese entrepreneurs from the Guangdong-Hong Kong-Macao Greater Bay Area– a regionwith a high tolerance for failure.

  20. Argentina: distribution of start-ups that failed by type of business 2017

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Argentina: distribution of start-ups that failed by type of business 2017 [Dataset]. https://www.statista.com/statistics/879063/argentina-failed-startup-distribution-business-type/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    Argentina
    Description

    This statistic represents the results of a survey on the failed start-up distribution by type of business in Argentina in 2017. In that year, most of the failed start-up businesses in Argentina belonged to the services sector with a failure share of 61.11 percent.

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Link copied
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ICPSR - Interuniversity Consortium for Political and Social Research (2021). Business Failures by Industry in the United States, 1895 to 1940: A Statistical History - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR34016

Business Failures by Industry in the United States, 1895 to 1940: A Statistical History - Archival Version

Explore at:
Dataset updated
May 7, 2021
Dataset provided by
GESIS search
ICPSR - Interuniversity Consortium for Political and Social Research
License

https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de450261https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de450261

Area covered
United States
Description

Abstract (en): Dun's Review began publishing monthly data on business failures by branch of business during the 1890s. At that time, a business failure was defined as a concern which was involved in a court proceeding or voluntary action which was likely to end in loss to creditors. Liabilities of failed businesses were defined "as all liabilities except long-term publicly-held obligations, chiefly bonds." Dun's published data on failures by branch of business from 1895 through 1935. This dataset reconstructs that series and links it to its successors. The successor series include data on business failures by division of industry, which Dun and Bradstreet's published from 1934 through 1940. This study includes six parts. Part One contains aggregate liabilities in dollars, broken down by branch, month, and year. Part Two contains aggregate numbers of business failures broken down by branch, month, and year. Part Three contains aggregate liability in dollars broken down by division, month, and year. Part Four contains aggregate numbers of business failures broken down by division, month, and year. Part Five contains aggregate liabilities broken down by sector, month, and year. Part Six contains aggregate numbers of business failures broken down by sector, month, and year. Part One and Part Two contain 36 variables and 562 cases. Part Three and Part Four contain 51 variables and 60 cases. Part Five and Part Six contain 6 variables and 562 cases. This study allows for economic analysis of business failures. It is intended to provide a resource on business failure and liabilites from 1895 to 1940. Data originally collected from court filings at municipal, county, state, and United States district court houses throughout the United States from 1895 through 1940. Data published periodically by R. G. Dun and Company, Bradstreet's Company, and their successors through 1940. From their publications, the principal investigators collected, cleaned, compiled, and computerized the current data series. Variables include monthly, unadjusted, liabilities and monthly, unadjusted, number of failures for different branches, sectors, divisons. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Businesses that failed in the United States from 1895 through 1940. Smallest Geographic Unit: United States The data consist of the aggregate number of corporations filing for bankruptcy in various industries each month in the United States and the total liabilities of those corporations. Please refer to the codebook for sampling information in the "Original P.I. Documentation" section. Additional information can be found by visiting the National Bureau of Economic Research (NBER) Web site. For additional information on these datasets please see the National Bureau of Economic Research (NBER) Web site.The dates in the Original P.I. Documentation for Business Failures by Industry in the United States range from 1895 to 1939, however, the data range from 1895 to 1940. The title for ICPSR 34016 has been changed to reflect the data.

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