100+ datasets found
  1. MSME

    • data.wu.ac.at
    csv, json, xml
    Updated May 6, 2018
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    World Bank Group (2018). MSME [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/OWZmai1xdm5r
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    json, csv, xmlAvailable download formats
    Dataset updated
    May 6, 2018
    Dataset provided by
    World Bankhttp://worldbank.org/
    World Bank Grouphttp://www.worldbank.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    In 2010, IFC conducted a study to estimate the number of micro, small, and medium enterprises (MSMEs) in the world, and to determine the degree of access to credit and use of deposit accounts for formal and informal MSMEs. The study used primarily data from the World Bank Enterprise Surveys (ES). In 2011 the data was revisited as new enterprise surveys became available. The resulting database, IFC Enterprise Finance Gap Database, covers 177 countries. This dataset provides summary values for dfferent categories.

  2. I

    Indonesia Small, and Medium Enterprises (SME): Credits: Total

    • ceicdata.com
    Updated Feb 15, 2025
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    Indonesia Small, and Medium Enterprises (SME): Credits: Total [Dataset]. https://www.ceicdata.com/en/indonesia/small-and-medium-enterprises-credit/small-and-medium-enterprises-sme-credits-total
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    Dataset updated
    Feb 15, 2025
    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
    Jun 1, 2018 - May 1, 2019
    Area covered
    Indonesia
    Variables measured
    Loans
    Description

    Indonesia Small, and Medium Enterprises (SME): Credits: Total data was reported at 1,005,522.000 IDR bn in May 2019. This records an increase from the previous number of 990,660.000 IDR bn for Apr 2019. Indonesia Small, and Medium Enterprises (SME): Credits: Total data is updated monthly, averaging 684,494.247 IDR bn from Jan 2011 (Median) to May 2019, with 101 observations. The data reached an all-time high of 1,005,522.000 IDR bn in May 2019 and a record low of 360,673.256 IDR bn in Jan 2011. Indonesia Small, and Medium Enterprises (SME): Credits: Total data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Global Database’s Indonesia – Table ID.KAD049: Small and Medium Enterprises: Credit.

  3. P

    Portugal No of Companies: Micro, Small & Medium (SME)

    • ceicdata.com
    Updated Jun 15, 2019
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    CEICdata.com (2019). Portugal No of Companies: Micro, Small & Medium (SME) [Dataset]. https://www.ceicdata.com/en/portugal/number-of-companies/no-of-companies-micro-small--medium-sme
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    Dataset updated
    Jun 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
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Portugal
    Variables measured
    Enterprises Statistics
    Description

    Portugal Number of Companies: Micro, Small & Medium (SME) data was reported at 536.637 Unit th in 2023. This records an increase from the previous number of 527.060 Unit th for 2022. Portugal Number of Companies: Micro, Small & Medium (SME) data is updated yearly, averaging 410.412 Unit th from Dec 2006 (Median) to 2023, with 18 observations. The data reached an all-time high of 536.637 Unit th in 2023 and a record low of 365.327 Unit th in 2006. Portugal Number of Companies: Micro, Small & Medium (SME) data remains active status in CEIC and is reported by Banco de Portugal. The data is categorized under Global Database’s Portugal – Table PT.O001: Number of Companies.

  4. I

    Indonesia SME: Credits: Processing Industry

    • ceicdata.com
    Updated Feb 15, 2025
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    Indonesia SME: Credits: Processing Industry [Dataset]. https://www.ceicdata.com/en/indonesia/small-and-medium-enterprises-credit/sme-credits-processing-industry
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    Dataset updated
    Feb 15, 2025
    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
    Jun 1, 2018 - May 1, 2019
    Area covered
    Indonesia
    Variables measured
    Loans
    Description

    Indonesia SME: Credits: Processing Industry data was reported at 100,313.000 IDR bn in May 2019. This records an increase from the previous number of 99,589.000 IDR bn for Apr 2019. Indonesia SME: Credits: Processing Industry data is updated monthly, averaging 71,059.658 IDR bn from Jan 2011 (Median) to May 2019, with 101 observations. The data reached an all-time high of 100,313.000 IDR bn in May 2019 and a record low of 41,420.805 IDR bn in Jan 2011. Indonesia SME: Credits: Processing Industry data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Global Database’s Indonesia – Table ID.KAD049: Small and Medium Enterprises: Credit.

  5. Survey data set on SME employers' use of and barriers to business support

    • data.subak.org
    • gimi9.com
    • +2more
    xls
    Updated Feb 16, 2023
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    UK Government - Department for Business, Energy and Industrial Strategy (2023). Survey data set on SME employers' use of and barriers to business support [Dataset]. https://data.subak.org/dataset/business-support-take-up-sme-employers-england-2011
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    xlsAvailable download formats
    Dataset updated
    Feb 16, 2023
    Dataset provided by
    Government of the United Kingdomhttps://www.gov.uk/
    Department for Business, Energy and Industrial Strategyhttps://gov.uk/beis
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Underlying data from the publication 'Research to understand the barriers to take up and use of business support' [URN 11/1288]. Data from a survey of 1,202 employer SMEs in England undertaken in March 2011. The survey was designed to provide statistically robust evidence of business use and non use of external business support services, differentiating between private sector and public sector sources of both routine information and strategic advice. The survey aimed to produce a broadly representative sample of SME employers and used a random stratified sample from the Experian database adopting quotas in order to capture sufficient numbers of businesses across key categories (age, size, sector, region). The data presented in the published report was weighted by size band to correct for over-sampling amongst larger SMEs.

  6. SME SA Summary

    • data.wu.ac.at
    csv, json, xml
    Updated Oct 22, 2013
    + more versions
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    World Bank Group (2013). SME SA Summary [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/OHJwZi14eDJu
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    csv, xml, jsonAvailable download formats
    Dataset updated
    Oct 22, 2013
    Dataset provided by
    World Bankhttp://worldbank.org/
    World Bank Grouphttp://www.worldbank.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset provides aggregated values for different categories. To see a summary of interest, click Filter button and set the categories you are not interested in at the moment to 'blank'. In 2010, IFC conducted a study to estimate the number of micro, small, and medium enterprises (MSMEs) in the world, and to determine the degree of access to credit and use of deposit accounts for formal and informal MSMEs. The study used primarily data from the World Bank Enterprise Surveys (ES). In 2011 the data was revisited as new enterprise surveys became available. The resulting database, IFC Enterprise Finance Gap Database, covers 177 countries.

  7. I

    Indonesia SME: Credits: Wholesale and Retail Trade

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Indonesia SME: Credits: Wholesale and Retail Trade [Dataset]. https://www.ceicdata.com/en/indonesia/small-and-medium-enterprises-credit/sme-credits-wholesale-and-retail-trade
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Jun 1, 2018 - May 1, 2019
    Area covered
    Indonesia
    Variables measured
    Loans
    Description

    Indonesia SME: Credits: Wholesale and Retail Trade data was reported at 519,056.000 IDR bn in May 2019. This records an increase from the previous number of 513,747.000 IDR bn for Apr 2019. Indonesia SME: Credits: Wholesale and Retail Trade data is updated monthly, averaging 361,742.524 IDR bn from Jan 2011 (Median) to May 2019, with 101 observations. The data reached an all-time high of 519,056.000 IDR bn in May 2019 and a record low of 160,406.890 IDR bn in Jan 2011. Indonesia SME: Credits: Wholesale and Retail Trade data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Global Database’s Indonesia – Table ID.KAD049: Small and Medium Enterprises: Credit.

  8. Number of SMEs in the European Union 2008-2024, by size

    • statista.com
    Updated Sep 18, 2024
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    Statista (2024). Number of SMEs in the European Union 2008-2024, by size [Dataset]. https://www.statista.com/statistics/878412/number-of-smes-in-europe-by-size/
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    Dataset updated
    Sep 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe, European Union
    Description

    There were estimated to be approximately 26.1 million small and medium-sized enterprises (SMEs) in the European Union in 2024, with the vast majority of these enterprises micro-sized firms which only employed fewer than nine people. A further 1.38 million enterprises were small firms with between 10 and 49 employees, while 210,170 were medium-sized firms that had 50 to 249 employers. The contribution of SMEs to the European Economy Small and medium sized enterprises (SMEs) form the backbone of the European economy. These companies comprise around 99.8 percent of all active businesses in Europe, while producing almost 52 percent of total value added in the EU. These companies are not just economically important to the continent however, as they also form an important part of the cultural fabric of European communities, with SMEs being particularly important for rural regions and smaller towns.

    Almost 90 million employed by SMEs In 2024 SME’s in the European Union employed almost 90 million people. In Europe’s biggest economy, Germany, SMEs employed 18.3 million people, with over 6.8 million people employed by small-sized enterprises alone.

  9. K

    Key Value Databases Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 6, 2025
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    Market Research Forecast (2025). Key Value Databases Report [Dataset]. https://www.marketresearchforecast.com/reports/key-value-databases-27941
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Key-Value Database market, valued at $1288.8 million in 2025, is poised for significant growth. Driven by the increasing adoption of cloud computing, the rise of big data analytics, and the expanding need for high-performance, scalable data storage solutions across various industries, the market is expected to experience substantial expansion throughout the forecast period (2025-2033). The cloud-based segment currently dominates the market, fueled by its inherent flexibility, scalability, and cost-effectiveness. Large enterprises are the primary consumers, leveraging key-value databases for applications demanding rapid data retrieval and high throughput, such as real-time analytics, caching, and session management. However, the on-premises segment continues to hold relevance, particularly among organizations with stringent data security and compliance requirements. Growth is further propelled by the increasing integration of key-value databases with other technologies such as NoSQL databases and distributed systems, offering enhanced functionality and interoperability. Geographic expansion, especially within developing economies of Asia Pacific and Middle East & Africa, will contribute significantly to market expansion. Competitive intensity is high, with established players like AWS, Azure, and others vying for market share alongside specialized providers focusing on specific niches. The market is further segmented based on application, with SMEs showing increasing adoption, driven by affordability and ease of implementation of cloud-based solutions. Despite the robust growth projections, the market faces certain challenges. Concerns around data security and privacy, especially within sensitive industries, coupled with the complexity of managing and scaling key-value databases can impede wider adoption. Furthermore, the need for specialized skills to effectively operate and maintain these systems can be a barrier to entry for smaller organizations. However, the ongoing development of user-friendly management tools and improved data security protocols will likely mitigate these concerns, fostering further market penetration. Overall, the Key-Value Database market is expected to remain a dynamic and competitive landscape with significant growth potential over the next decade.

  10. J

    Japan RM&C: SI: Curr. Term (YoY): DI

    • ceicdata.com
    Updated Apr 13, 2021
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    CEICdata.com (2021). Japan RM&C: SI: Curr. Term (YoY): DI [Dataset]. https://www.ceicdata.com/en/japan/sme-business-survey-report-price
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    Dataset updated
    Apr 13, 2021
    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, 2019 - Sep 1, 2022
    Area covered
    Japan
    Variables measured
    Business Outlook Survey
    Description

    RM&C: SI: Curr. Term (YoY): DI data was reported at 69.300 % in Dec 2022. This records an increase from the previous number of 63.900 % for Sep 2022. RM&C: SI: Curr. Term (YoY): DI data is updated quarterly, averaging 25.700 % from Jun 2005 to Dec 2022, with 71 observations. The data reached an all-time high of 69.300 % in Dec 2022 and a record low of 4.600 % in Jun 2020. RM&C: SI: Curr. Term (YoY): DI data remains active status in CEIC and is reported by The Small and Medium Enterprise Agency. The data is categorized under Global Database’s Japan – Table JP.S083: SME Business Survey Report: Price.

  11. J

    Japan P&I: All Industry: Next Term (YoY Forecast): Excess

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Japan P&I: All Industry: Next Term (YoY Forecast): Excess [Dataset]. https://www.ceicdata.com/en/japan/sme-business-survey-report-trends-in-product--inventory/pi-all-industry-next-term-yoy-forecast-excess
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    Dataset updated
    Jan 15, 2025
    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
    Japan
    Variables measured
    Business Outlook Survey
    Description

    Japan P&I: All Industry: Next Term (YoY Forecast): Excess data was reported at 8.600 % in Dec 2024. This records a decrease from the previous number of 9.000 % for Sep 2024. Japan P&I: All Industry: Next Term (YoY Forecast): Excess data is updated quarterly, averaging 7.500 % from Jun 2005 (Median) to Dec 2024, with 79 observations. The data reached an all-time high of 10.900 % in Jun 2022 and a record low of 6.200 % in Dec 2009. Japan P&I: All Industry: Next Term (YoY Forecast): Excess data remains active status in CEIC and is reported by The Small and Medium Enterprise Agency. The data is categorized under Global Database’s Japan – Table JP.S083: SME Business Survey Report: Trends in Product & Inventory.

  12. J

    Japan 7 FT: Cash Flow: MoM, SA: Other Manufacturing

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan 7 FT: Cash Flow: MoM, SA: Other Manufacturing [Dataset]. https://www.ceicdata.com/en/japan/sme-business-survey-report-manufacturing-industry/7-ft-cash-flow-mom-sa-other-manufacturing
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    Dataset updated
    Feb 15, 2025
    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, 2021 - Sep 1, 2024
    Area covered
    Japan
    Variables measured
    Business Outlook Survey
    Description

    Japan 7 FT: Cash Flow: MoM, SA: Other Manufacturing data was reported at -11.200 % in Sep 2024. This records an increase from the previous number of -12.900 % for Jun 2024. Japan 7 FT: Cash Flow: MoM, SA: Other Manufacturing data is updated quarterly, averaging -12.900 % from Sep 2018 (Median) to Sep 2024, with 25 observations. The data reached an all-time high of -7.800 % in Dec 2018 and a record low of -47.200 % in Jun 2020. Japan 7 FT: Cash Flow: MoM, SA: Other Manufacturing data remains active status in CEIC and is reported by The Small and Medium Enterprise Agency. The data is categorized under Global Database’s Japan – Table JP.S089: SME Business Survey Report: Manufacturing Industry.

  13. J

    Japan P&I: Retail: S: Curr. Term: Excess

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan P&I: Retail: S: Curr. Term: Excess [Dataset]. https://www.ceicdata.com/en/japan/sme-business-survey-report-trends-in-product--inventory/pi-retail-s-curr-term-excess
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Japan
    Variables measured
    Business Outlook Survey
    Description

    Japan P&I: Retail: S: Curr. Term: Excess data was reported at 14.800 % in Dec 2024. This records an increase from the previous number of 14.500 % for Sep 2024. Japan P&I: Retail: S: Curr. Term: Excess data is updated quarterly, averaging 17.100 % from Jun 2005 (Median) to Dec 2024, with 79 observations. The data reached an all-time high of 22.300 % in Jun 2020 and a record low of 14.200 % in Sep 2019. Japan P&I: Retail: S: Curr. Term: Excess data remains active status in CEIC and is reported by The Small and Medium Enterprise Agency. The data is categorized under Global Database’s Japan – Table JP.S083: SME Business Survey Report: Trends in Product & Inventory.

  14. J

    Japan P&I: WT: M: Curr. Term: DI

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan P&I: WT: M: Curr. Term: DI [Dataset]. https://www.ceicdata.com/en/japan/sme-business-survey-report-trends-in-product--inventory/pi-wt-m-curr-term-di
    Explore at:
    Dataset updated
    Feb 15, 2025
    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, 2021 - Sep 1, 2024
    Area covered
    Japan
    Variables measured
    Business Outlook Survey
    Description

    Japan P&I: WT: M: Curr. Term: DI data was reported at 17.700 % in Sep 2024. This stayed constant from the previous number of 17.700 % for Jun 2024. Japan P&I: WT: M: Curr. Term: DI data is updated quarterly, averaging 20.900 % from Jun 2005 (Median) to Sep 2024, with 78 observations. The data reached an all-time high of 29.700 % in Jun 2020 and a record low of 15.100 % in Dec 2016. Japan P&I: WT: M: Curr. Term: DI data remains active status in CEIC and is reported by The Small and Medium Enterprise Agency. The data is categorized under Global Database’s Japan – Table JP.S083: SME Business Survey Report: Trends in Product & Inventory.

  15. J

    Japan OP: MI: Curr. Term: DI

    • ceicdata.com
    Updated Sep 8, 2024
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    CEICdata.com (2024). Japan OP: MI: Curr. Term: DI [Dataset]. https://www.ceicdata.com/en/japan/sme-business-survey-report-ordinary-profit/op-mi-curr-term-di
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    Dataset updated
    Sep 8, 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, 2021 - Sep 1, 2024
    Area covered
    Japan
    Variables measured
    Business Outlook Survey
    Description

    Japan OP: MI: Curr. Term: DI data was reported at -1.600 % in Sep 2024. This records an increase from the previous number of -1.700 % for Jun 2024. Japan OP: MI: Curr. Term: DI data is updated quarterly, averaging -3.500 % from Jun 2005 (Median) to Sep 2024, with 78 observations. The data reached an all-time high of 10.600 % in Dec 2017 and a record low of -43.000 % in Jun 2020. Japan OP: MI: Curr. Term: DI data remains active status in CEIC and is reported by The Small and Medium Enterprise Agency. The data is categorized under Global Database’s Japan – Table JP.S085: SME Business Survey Report: Ordinary Profit.

  16. china sme

    • data.wu.ac.at
    csv, json, xml
    Updated Nov 15, 2016
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    World Bank Group (2016). china sme [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/cm1qci13dGNh
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    xml, json, csvAvailable download formats
    Dataset updated
    Nov 15, 2016
    Dataset provided by
    World Bankhttp://worldbank.org/
    World Bank Grouphttp://www.worldbank.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    In 2010, IFC conducted a study to estimate the number of micro, small, and medium enterprises (MSMEs) in the world, and to determine the degree of access to credit and use of deposit accounts for formal and informal MSMEs. The study used primarily data from the World Bank Enterprise Surveys (ES). In 2011 the data was revisited as new enterprise surveys became available. The resulting database, IFC Enterprise Finance Gap Database, covers 177 countries. This dataset provides summary values for dfferent categories.

  17. J

    Japan P&I: All Industry: Curr. Term (YoY): Excess

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). Japan P&I: All Industry: Curr. Term (YoY): Excess [Dataset]. https://www.ceicdata.com/en/japan/sme-business-survey-report-trends-in-product--inventory/pi-all-industry-curr-term-yoy-excess
    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
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    Japan
    Variables measured
    Business Outlook Survey
    Description

    Japan P&I: All Industry: Curr. Term (YoY): Excess data was reported at 10.200 % in Dec 2024. This records a decrease from the previous number of 10.300 % for Sep 2024. Japan P&I: All Industry: Curr. Term (YoY): Excess data is updated quarterly, averaging 9.500 % from Jun 2005 (Median) to Dec 2024, with 79 observations. The data reached an all-time high of 14.000 % in Jun 2020 and a record low of 7.800 % in Sep 2009. Japan P&I: All Industry: Curr. Term (YoY): Excess data remains active status in CEIC and is reported by The Small and Medium Enterprise Agency. The data is categorized under Global Database’s Japan – Table JP.S083: SME Business Survey Report: Trends in Product & Inventory.

  18. J

    Japan P&I: WT: S: Curr. Term (YoY): Proper

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Japan P&I: WT: S: Curr. Term (YoY): Proper [Dataset]. https://www.ceicdata.com/en/japan/sme-business-survey-report-trends-in-product--inventory/pi-wt-s-curr-term-yoy-proper
    Explore at:
    Dataset updated
    Jan 15, 2025
    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
    Japan
    Variables measured
    Business Outlook Survey
    Description

    Japan P&I: WT: S: Curr. Term (YoY): Proper data was reported at 64.100 % in Dec 2024. This records a decrease from the previous number of 68.200 % for Sep 2024. Japan P&I: WT: S: Curr. Term (YoY): Proper data is updated quarterly, averaging 61.500 % from Jun 2005 (Median) to Dec 2024, with 79 observations. The data reached an all-time high of 68.200 % in Sep 2024 and a record low of 48.100 % in Jun 2020. Japan P&I: WT: S: Curr. Term (YoY): Proper data remains active status in CEIC and is reported by The Small and Medium Enterprise Agency. The data is categorized under Global Database’s Japan – Table JP.S083: SME Business Survey Report: Trends in Product & Inventory.

  19. Japan OP: CI: M: Curr. Term (YoY): DI

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). Japan OP: CI: M: Curr. Term (YoY): DI [Dataset]. https://www.ceicdata.com/en/japan/sme-business-survey-report-ordinary-profit/op-ci-m-curr-term-yoy-di
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    Dataset updated
    Dec 15, 2024
    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, 2021 - Sep 1, 2024
    Area covered
    Japan
    Variables measured
    Business Outlook Survey
    Description

    Japan OP: CI: M: Curr. Term (YoY): DI data was reported at -15.500 % in Sep 2024. This records an increase from the previous number of -20.000 % for Jun 2024. Japan OP: CI: M: Curr. Term (YoY): DI data is updated quarterly, averaging -11.600 % from Jun 2005 (Median) to Sep 2024, with 78 observations. The data reached an all-time high of 67.500 % in Mar 2009 and a record low of -38.500 % in Mar 2023. Japan OP: CI: M: Curr. Term (YoY): DI data remains active status in CEIC and is reported by The Small and Medium Enterprise Agency. The data is categorized under Global Database’s Japan – Table JP.S085: SME Business Survey Report: Ordinary Profit.

  20. Kyrgyz Republic SME study

    • data.wu.ac.at
    csv, json, xml
    Updated Jun 10, 2014
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    World Bank Group (2014). Kyrgyz Republic SME study [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/NHVxNi1ncDZp
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    csv, json, xmlAvailable download formats
    Dataset updated
    Jun 10, 2014
    Dataset provided by
    World Bankhttp://worldbank.org/
    World Bank Grouphttp://www.worldbank.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    In 2010, IFC conducted a study to estimate the number of micro, small, and medium enterprises (MSMEs) in the world, and to determine the degree of access to credit and use of deposit accounts for formal and informal MSMEs. The study used primarily data from the World Bank Enterprise Surveys (ES). In 2011 the data was revisited as new enterprise surveys became available. The resulting database, IFC Enterprise Finance Gap Database, covers 177 countries. This dataset provides summary values for dfferent categories.

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World Bank Group (2018). MSME [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/OWZmai1xdm5r
Organization logoOrganization logo

MSME

Explore at:
json, csv, xmlAvailable download formats
Dataset updated
May 6, 2018
Dataset provided by
World Bankhttp://worldbank.org/
World Bank Grouphttp://www.worldbank.org/
License

Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically

Description

In 2010, IFC conducted a study to estimate the number of micro, small, and medium enterprises (MSMEs) in the world, and to determine the degree of access to credit and use of deposit accounts for formal and informal MSMEs. The study used primarily data from the World Bank Enterprise Surveys (ES). In 2011 the data was revisited as new enterprise surveys became available. The resulting database, IFC Enterprise Finance Gap Database, covers 177 countries. This dataset provides summary values for dfferent categories.

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