100+ datasets found
  1. H

    Replication Data for: The Economic Impact of Assisting Small Firms -...

    • data.niaid.nih.gov
    • dataverse.harvard.edu
    • +1more
    tsv
    Updated Dec 17, 2022
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    Carolina Small Business Development Fund (2022). Replication Data for: The Economic Impact of Assisting Small Firms - Entrepreneurship in Uncertain Times [Dataset]. http://doi.org/10.7910/DVN/JYYYNU
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    tsvAvailable download formats
    Dataset updated
    Dec 17, 2022
    Authors
    Carolina Small Business Development Fund
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/JYYYNUhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/JYYYNU

    Description

    This dataset includes anonymized information about all of CSBDF's closed loans that were utilized in the lending economic impact analysis for FY22 (July 1, 2021 through June 30, 2022). The data contain anonymized information on all lending transactions during the period, including selected characteristics of the recipient small businesses and their owner(s).

  2. U.S. small business owners' outlook on economic recovery from COVID-19 Q4...

    • statista.com
    Updated Jul 11, 2025
    + more versions
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    Statista (2025). U.S. small business owners' outlook on economic recovery from COVID-19 Q4 2020 [Dataset]. https://www.statista.com/statistics/1224016/us-small-business-owners-outlook-covid-19-economic-recovery/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 6, 2020 - Nov 13, 2020
    Area covered
    United States
    Description

    In a 2020 online survey, ** percent of small business owners in the United States said they expected the economy to not recover from the impacts of COVID-19 until beyond 2021. Only ***** percent of respondents believed that the economy would be able to recover in a few more weeks.

  3. U

    United States SB: AZ: COVID-19 Impact: Moderate Negative Effect

    • ceicdata.com
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    CEICdata.com, United States SB: AZ: COVID-19 Impact: Moderate Negative Effect [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-west-region
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    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 27, 2021 - Apr 11, 2022
    Area covered
    United States
    Description

    SB: AZ: COVID-19 Impact: Moderate Negative Effect data was reported at 42.100 % in 11 Apr 2022. This records an increase from the previous number of 38.300 % for 04 Apr 2022. SB: AZ: COVID-19 Impact: Moderate Negative Effect data is updated weekly, averaging 43.200 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 45.600 % in 14 Mar 2022 and a record low of 36.000 % in 22 Nov 2021. SB: AZ: COVID-19 Impact: Moderate Negative Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S: Small Business Pulse Survey: by State: West Region: Weekly, Beg Monday (Discontinued).

  4. s

    Bridge Fund Small Business Dataset

    • information.stpaul.gov
    • hub.arcgis.com
    Updated Oct 12, 2021
    + more versions
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    Saint Paul GIS (2021). Bridge Fund Small Business Dataset [Dataset]. https://information.stpaul.gov/datasets/stpaul::bridge-fund-small-business-dataset/about
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    Dataset updated
    Oct 12, 2021
    Dataset authored and provided by
    Saint Paul GIS
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    In March 2020, Mayor Carter announced the Saint Paul Bridge Fund to provide emergency relief for families and small businesses most vulnerable to the economic impacts of the COVID-19 pandemic. The program was funded through $3.25 million dollars from the Saint Paul Housing and Redevelopment Authority along with contributions from philanthropic, corporate and individual donors. Through these additional contributions, the fund provided $4.1 million to families and small businesses in Saint Paul.Data previously shared in this space included only the 380 recipients funded through "Phase 1". This dataset includes all three phases that were ultimately rolled out through the Bridge Fund for Small Business program.Nearly 2,000 unique applications applied for a small business grant of $7,50036% were from ACP50 areas (Areas of Concentrated Poverty where 50% or more of the residents are people of color)The applications were reviewed in order of a random number assigned at application close. Of these applications:633 small businesses were awarded a $7,500 grant36% of applications in the city were from ACP50 areas86% of applicants in the city cited they were ordered closed under one of the Governor’s Executive OrdersThis is a dataset of the small businesses that applied for the Bridge Fund and includes:Self-reported survey responsesAward informationGeographic information Additional information about the Saint Paul Bridge Fund may be found at stpaul.gov/bridge-fund.

  5. H

    Replication Data for: The Economic Impact of Assisting Small Firms -...

    • dataverse.harvard.edu
    Updated Sep 23, 2021
    + more versions
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    Carolina Small Business Development Fund (2021). Replication Data for: The Economic Impact of Assisting Small Firms - Surviving and Thriving through the COVID-19 Pandemic [Dataset]. http://doi.org/10.7910/DVN/LY5VME
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 23, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    Carolina Small Business Development Fund
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2020 - Jun 30, 2021
    Description

    This dataset includes anonymized information about all of CSBDF's closed loans that were utilized in the lending economic impact analysis for FY21 (July 1, 2020 through June 30, 2021). The data contain anonymized information on all lending transactions during the period, including the socioeconomic characteristics of the recipient small businesses and their owner(s).

  6. Global Small Business Market Size By Industry Type, By Business Size, By...

    • verifiedmarketresearch.com
    Updated Jul 26, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Small Business Market Size By Industry Type, By Business Size, By Customer Type, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/small-business-market/
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    Dataset updated
    Jul 26, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Small Business Market size was valued at USD 1901 Billion in 2023 and is projected to reach USD 3305 Billion by 2031, growing at a CAGR of 8.6% during the forecast period 2024-2031.Global Small Business Market DriversThe market drivers for the Small Business Market can be influenced by various factors. These may include:Digital Transformation: Small businesses are increasingly adopting digital tools and technologies to streamline operations, enhance customer engagement, and gain a competitive edge. Cloud computing, e-commerce platforms, CRM systems, and digital marketing are among the key technologies that small businesses are leveraging to scale and improve efficiency. This digital shift has been accelerated by the COVID-19 pandemic, which underscored the necessity of having an online presence and digital infrastructure.Access to Capital: Small business financing is becoming more accessible, with the rise of alternative lending platforms, microloans, and crowdfunding. Traditional banks are also adapting by offering more flexible loan products tailored to small businesses. Government initiatives and grants aimed at stimulating economic recovery post-pandemic have provided additional sources of funds, empowering small business growth and expansion.Remote Work and Flexibility: The trend toward remote work has opened new possibilities for small businesses to tap into talent pools beyond their geographic confines. This flexibility not only helps in cutting operational costs related to office space but also attracts a diverse workforce. Hybrid and remote working models have forced small businesses to adopt agile practices and invest in collaboration tools and cybersecurity measures.Consumer Preference for Local and Niche Products: There is a growing consumer trend favoring local, unique, and ethically sourced products. Small businesses have capitalized on this by offering personalized and authentic customer experiences that big corporations can’t easily replicate. Emphasizing local origins and sustainability often resonates well, driving customer loyalty and repeat business.Regulatory Changes: Changes in regulatory landscapes, including tax reforms, labor laws, and trade policies, can significantly impact small businesses. For instance, the recent shifts towards more favorable tax regulations for small and medium enterprises (SMEs) can ease financial burdens and encourage entrepreneurship. Compliance with new standards also drives innovation as small businesses adapt and optimize their operations.Technological Integration and Automation: The integration of AI and automation in small business operations is on the rise. These technologies help in optimizing supply chains, enhancing customer service with chatbots, and driving data-driven decision-making processes. Automation tools that manage inventory, customer relationships, and financial transactions reduce manual workloads and improve efficiency.Economic Recovery and Consumer Spending: The post-pandemic economic recovery has generally boosted consumer confidence and spending, which in turn benefits small businesses. Government stimulus packages and economic incentives have further stimulated spending and investment in the SME sector, leading to growth opportunities and market expansion.E-commerce Growth: The massive shift towards online shopping has opened up new sales channels for small businesses. E-commerce platforms like Shopify, Etsy, and Amazon make it easier for small businesses to reach a global audience. Additionally, advancements in payment gateways, logistics, and delivery services support small businesses in managing and fulfilling online orders seamlessly.Business Support Ecosystems: There is an expanding ecosystem of incubators, accelerators, mentoring programs, and business networks that offer crucial support to small businesses. These platforms provide funding, advocacy, mentorship, and educational resources, creating a robust support system that helps small businesses thrive and scale.Sustainability and Green Practices: Growing awareness and concern for the environment have led small businesses to adopt sustainable and eco-friendly practices. Whether it’s reducing carbon footprints, utilizing renewable energy, or offering green products and services, these practices appeal to environmentally conscious consumers and can lead to cost savings and enhanced brand reputation.

  7. U

    United States SB: AZ: COVID-19 Impact: Moderate Positive Effect

    • ceicdata.com
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    CEICdata.com, United States SB: AZ: COVID-19 Impact: Moderate Positive Effect [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-west-region
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    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 27, 2021 - Apr 11, 2022
    Area covered
    United States
    Description

    SB: AZ: COVID-19 Impact: Moderate Positive Effect data was reported at 5.700 % in 11 Apr 2022. This records a decrease from the previous number of 8.400 % for 04 Apr 2022. SB: AZ: COVID-19 Impact: Moderate Positive Effect data is updated weekly, averaging 8.000 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 10.100 % in 22 Nov 2021 and a record low of 5.700 % in 11 Apr 2022. SB: AZ: COVID-19 Impact: Moderate Positive Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S: Small Business Pulse Survey: by State: West Region: Weekly, Beg Monday (Discontinued).

  8. h

    Small Business Statistics (2025)

    • high5test.com
    html
    Updated Apr 20, 2025
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    HIGH5 (2025). Small Business Statistics (2025) [Dataset]. https://high5test.com/small-business-statistics/
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    htmlAvailable download formats
    Dataset updated
    Apr 20, 2025
    Dataset authored and provided by
    HIGH5
    License

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

    Description

    A comprehensive dataset of small business statistics for 2025, including startup trends, business growth rates, employment contributions, failure rates, financing patterns, industry performance, economic impact, and challenges faced by small business owners.

  9. Analysis of small businesses in Michigan

    • kaggle.com
    zip
    Updated Oct 12, 2024
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    Maooz Abdullah (2024). Analysis of small businesses in Michigan [Dataset]. https://www.kaggle.com/datasets/maoozabdullah/analysis-of-small-businesses-in-michigan
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    zip(334456 bytes)Available download formats
    Dataset updated
    Oct 12, 2024
    Authors
    Maooz Abdullah
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Michigan
    Description

    The objective of this report is to analyze the role of small businesses in the Michigan job market using the provided dataset. We aim to understand the impact of small businesses on employment, sales, and other economic factors. This analysis will help in identifying trends and patterns that can inform policy decisions and support for small businesses.

  10. Nonemployer Statistics

    • icpsr.umich.edu
    Updated Jun 26, 2015
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    United States. Bureau of the Census (2015). Nonemployer Statistics [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36218
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    Dataset updated
    Jun 26, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36218/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36218/terms

    Area covered
    United States
    Description

    Nonemployer Statistics is an annual series that provides statistics on U.S. businesses with no paid employees or payroll, are subject to federal income taxes, and have receipts of $1,000 or more ($1 or more for the Construction sector). This program is authorized by the United States Code, Titles 13 and 26. Also, the collection provides data for approximately 450 North American Industry Classification System (NAICS) industries at the national, state, county, metropolitan statistical area, and combined statistical area geography levels. The majority of NAICS industries are included with some exceptions as follows: crop and animal production; investment funds, trusts, and other financial vehicles; management of companies and enterprises; and public administration. Data are also presented by Legal Form of Organization (LFO) (U.S. and state only) as filed with the Internal Revenue Service (IRS). Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income. Nonemployers Statistics features nonemployers in several arts-related industries and occupations, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Nonemployer Statistics data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the Census Bureau. The data are processed through various automated and analytical review to eliminate employers from the tabulation, correct and complete data items, remove anomalies, and validate geography coding and industry classification. Prior to publication, the noise infusion method is applied to protect individual businesses from disclosure. Noise infusion was first applied to Nonemployer Statistics in 2005. Prior to 2005, data were suppressed using the complementary cell suppression method. For more information on the coverage and methods used in Nonemployer Statistics, refer to NES Methodology. The majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. The annual Nonemployer Statistics data are available approximately 18 months after each reference year. Data for years since 2002 are published via comma-delimited format (csv) for spreadsheet or database use, and in the American FactFinder (AFF). For help accessing the data, please refer to the Data User Guide.

  11. c

    Data from: Access to Credit for Small and Minority-Owned Businesses

    • clevelandfed.org
    Updated Mar 22, 2022
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    Federal Reserve Bank of Cleveland (2022). Access to Credit for Small and Minority-Owned Businesses [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2022/ec-202204-access-to-credit-for-small-and-minority-owned-businesses
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    Dataset updated
    Mar 22, 2022
    Dataset authored and provided by
    Federal Reserve Bank of Cleveland
    Description

    Equal access to small-business credit is a critical underpinning to equity in economic opportunity; however, it is difficult to regularly assess the fairness of credit provision. Prior research has focused on the Federal Reserve Board’s Survey of Small Business Finance, but the most recent data from this source is from 2003. This article provides preliminary results on new credit access questions added to the Census Bureau’s 2021 Annual Business Survey. We find that minority-owned businesses generally were just as likely to apply for credit in 2020, but Black-, Asian-, and Hispanic-owned businesses were less likely than white-owned businesses to report receiving all of the credit that they sought. Also, Black-, Asian-, and Hispanic-owned businesses more frequently reported seeking credit in order to cover operating expenses rather than for financing capital expenditures or expansion. Heading into 2022, minority-owned businesses report weaker ongoing viability.

  12. d

    Economic Impact and Diversity webpage

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Nov 10, 2020
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    Office of Civil Rights (2020). Economic Impact and Diversity webpage [Dataset]. https://catalog.data.gov/dataset/economic-impact-and-diversity-webpage
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    Dataset updated
    Nov 10, 2020
    Dataset provided by
    Office of Civil Rights
    Description

    The Office of Economic Impact and Diversity develops and executes Department-wide policies to implement applicable legislation and Executive Orders that strengthen diversity goals affecting equal employment opportunities, small and disadvantaged businesses, minority educational institutions, and historically underrepresented communities. Our mission is to identify and implement ways of ensuring that minorities are afforded an opportunity to participate fully in the energy programs of the Department. We encourage partnership opportunities with Minority Serving Institutions (Historically Black Colleges and Universities, Hispanic Serving Institutions, Asian American, Native American, and Pacific Islander Institutions, and Tribal Colleges and Universities) and other minority-owned and serving entities on our mission-critical work. We serve as a strong advocate for equal employment opportunities, civil rights concerns, and non-discriminatory practices at the Department. In addition, the Office of Economic Impact and Diversity is charged with creating and sustaining a high performing, inclusive workforce by leveraging diversity and empowering all employees to achieve superior results in the service of our Nation. Our office measures success in its effectiveness in aiding the disadvantaged in finding opportunities at the Department of Energy and in other Federal programs. Through extensive research and close partnerships, we have been able to specifically target barriers to minorities and execute strategies to overcome them. The Office of Economic Impact and Diversity is a model of how diversity positively impacts the Energy Department and provides a unique, cutting-edge quality to the Department.

  13. E

    Outsourcing Statistics 2024 – By Country, Industry, Reasons, Benefits And...

    • enterpriseappstoday.com
    Updated Feb 29, 2024
    + more versions
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    EnterpriseAppsToday (2024). Outsourcing Statistics 2024 – By Country, Industry, Reasons, Benefits And Facts [Dataset]. https://www.enterpriseappstoday.com/stats/outsourcing-statistics.html
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    Dataset updated
    Feb 29, 2024
    Dataset authored and provided by
    EnterpriseAppsToday
    License

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

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Outsourcing Statistics: In today's global economy, outsourcing plays a pivotal role in business operations, offering companies cost-effective solutions and access to specialized expertise. Recent statistics shed light on the widespread adoption and impact of outsourcing. According to data from Statista, the global outsourcing market was valued at USD 92.5 billion in 2021, with a projected growth rate of 5.84% from 2022 to 2028. Furthermore, a report by Deloitte revealed that 59% of companies outsource to cut costs, while 57% outsource to focus on core business functions. These figures underscore the significant role outsourcing plays in modern business strategies, driving efficiency and enabling organizations to stay competitive in a rapidly evolving landscape. As we delve deeper into outsourcing statistics, it becomes evident that its influence extends across industries and geographies, shaping the way businesses operate and thrive in today's interconnected world. Editor’s Choice The global spending on outsourcing surged to approximately USD 731 billion in 2023, reflecting its significant economic impact and widespread adoption across industries. An overwhelming 92% of G2000 companies leverage IT outsourcing services, emphasizing the prevalent reliance on outsourcing to meet technological needs. Business process outsourcing contributes significantly to the Philippines' economy, accounting for 9% of its GDP, highlighting the country's pivotal role in the outsourcing landscape. Approximately 37% of small businesses outsource at least one business process, demonstrating the accessibility and benefits of outsourcing for organizations of varying sizes. China's services outsourcing industry witnesses a substantial influx of over one million new employees annually, indicating the sector's robust growth and employment opportunities. The global outsourcing industry was valued at USD 620.381 billion in 2020 and is projected to reach USD 904.948 billion by 2027, showcasing its continuous expansion and market potential. India, known as the "Outsourcing Capital of the World," excels in various outsourcing domains, including IT services, software development, customer support, and back-office operations, leveraging its abundant talent pool and technological expertise. Southeast Asian countries like Malaysia, Vietnam, and Thailand specialize in IT outsourcing, business support functions, and digital marketing, offering competitive solutions to global businesses. The US market dominates the global outsourcing business, generating USD 62 billion of the total international income from the industry, underscoring its significance in the global outsourcing landscape. Information technology remains the most outsourced industry, with 37% of IT operations being outsourced, highlighting the sector's reliance on outsourcing for specialized services and expertise. The outsourcing industry is anticipated to witness a compound annual growth rate of 4% between 2021 and 2025, indicating steady expansion and opportunities for market players. Since the pandemic, 45% of businesses have expressed intentions to increase outsourcing, emphasizing the growing importance of outsourcing in business strategies, particularly in accessing specialized skill sets and enhancing efficiency. Cloud computing has opened up more outsourcing opportunities, with 90% of businesses able to leverage remote professionals, indicating the transformative impact of technology on the outsourcing landscape. You May Also Like To Read Business Intelligence Statistics Networking Statistics Diversity in Tech Statistics Robotics Industry Statistics

  14. U

    United States SBOI: sa: Most Pressing Problem: Cost of Labor

    • ceicdata.com
    Updated Mar 29, 2018
    + more versions
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    CEICdata.com (2018). United States SBOI: sa: Most Pressing Problem: Cost of Labor [Dataset]. https://www.ceicdata.com/en/united-states/nfib-index-of-small-business-optimism
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    Dataset updated
    Mar 29, 2018
    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, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Business Confidence Survey
    Description

    SBOI: sa: Most Pressing Problem: Cost of Labor data was reported at 11.000 % in Mar 2025. This records a decrease from the previous number of 12.000 % for Feb 2025. SBOI: sa: Most Pressing Problem: Cost of Labor data is updated monthly, averaging 8.000 % from Jan 2014 (Median) to Mar 2025, with 131 observations. The data reached an all-time high of 13.000 % in Dec 2021 and a record low of 4.000 % in Mar 2015. SBOI: sa: Most Pressing Problem: Cost of Labor data remains active status in CEIC and is reported by National Federation of Independent Business. The data is categorized under Global Database’s United States – Table US.S042: NFIB Index of Small Business Optimism. [COVID-19-IMPACT]

  15. US Covid-19 Cases, Deaths and Mobility

    • kaggle.com
    zip
    Updated Jan 10, 2023
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    The Devastator (2023). US Covid-19 Cases, Deaths and Mobility [Dataset]. https://www.kaggle.com/datasets/thedevastator/us-covid-19-cases-deaths-and-mobility-by-state-c
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    zip(89091036 bytes)Available download formats
    Dataset updated
    Jan 10, 2023
    Authors
    The Devastator
    Area covered
    United States
    Description

    US Covid-19 Cases, Deaths and Mobility by State/County

    Analyzing the Impact of the Pandemic on Low-Income Populations

    By Liz Friedman [source]

    About this dataset

    Welcome to the Opportunity Insights Economic Tracker! Our goal is to provide a comprehensive, real-time look into how COVID-19 and stabilization policies are affecting the US economy. To do this, we have compiled a wide array of data points on spending and employment, gathered from several sources.

    This dataset includes daily/weekly/monthly information at the state/county/city level for eight types of data: Google Mobility; Low-Income Employment and Earnings; UI Claims; Womply Merchants and Revenue; as well as weekly Math Learning from Zearn. Additionally, three files- Accounting for Geoids-State/County/City provide crosswalks between geographic areas that can be merged with other files having shared geographical levels.

    Our goal here is to enable data users around the world to follow economic conditions in the US during this tumultuous period with maximum clarity and precision. We make all our datasets freely available so if you use them we kindly ask you attribute our work by linking or citing both our accompanying paper as well as this Economic Tracker at https://tracktherecoveryorg By doing so you are also agreeing to uphold our privacy & integrity standards which commit us both to individual & business confidentiality without compromising on independent nonpartisan research & policy analysis!

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    How to use the dataset

    This dataset provides US COVID-19 case and death data, as well as Google Community Mobility Reports, on the state/county level. Here is how to use this dataset:

    • Understand the file structure: This dataset consists of three main files: 1) US Cases & Deaths by State/County, 2) Google Community Mobility Reports, and 3) Data from third-parties providing small business openings & revenue information and unemployment insurance claim data (Low Inc Earnings & Employment, UI Claims and Womply Merchants & Revenue).
    • Select your Subset: If you are interested in particular types of data (e.g., mobility or employment), select the corresponding files from within each section based on your geographic area of interest – national, state or county level – as indicated in each filename.
    • Review metadata variables: Become familiar with the provided variables so that you can select which ones you need to explore further in your analysis. For example, if analyzing mobility trends at a city level look for columns such as ‘Retailer_and_recreation_percent_change’ or ‘Transit Stations Percent Change’; if focusing on employment decline look for columns such pay or emp figures that align with industries of interest to you such as low-income earners (emp_{inclow},pay_{inclow}).
    • Unify dateformatting across row values : Convert date formats into one common unit so that all entries have consistent formatting if necessary; for exampe some entries may display dates using YYYY/MM/DD notation while others may use MM//DD//YY format depending on their source datasets; make sure to review column labels carefully before converting units where needed..
    • Merge datasets where applicable : Utilize GeoID crosswalks to combine multiple sets with same geographical coverageregionally covering ; example might be combining low income earnings figures with specific county settings by reference geo codes found in related documents like GeoIDs-County .
      6 . Visualise Data : Now that all the different measures have been reviewed can begin generating charts visualize findings . This process may include cleaning up raw figures normalizing across currency formats , mapping geospatial locations others ; once ready create bar graphs line charts maps other visual according aggregate output desired Insightful representations at this stage will help inform concrete policy decisions during outbreak recovery period..

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    Research Ideas

    • Estimating the Impact of the COVID-19 Pandemic on Small Businesses - By comparing county-level Womply revenue and employment data with pre-COVID data, policymakers can gain an understanding of the economic impact that COVID has had on local small businesses.
    • Analyzing Effects of Mobility Restrictions - The Google Mobility data provides insight into geographic areas where...
  16. ScaleUp America Communities

    • data.wu.ac.at
    • data.amerigeoss.org
    Updated Jul 13, 2016
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    Small Business Administration (2016). ScaleUp America Communities [Dataset]. https://data.wu.ac.at/schema/data_gov/MDE1MzgzMmEtMzNlYS00YmU4LWE4ZmUtZDQ2MTI3NWY2Yzgw
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    Dataset updated
    Jul 13, 2016
    Dataset provided by
    Small Business Administrationhttps://www.sba.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    SBA’s new ScaleUp America Initiative is designed to help small firms with high potential “scale up” and grow their businesses so that they will provide more jobs and have a greater economic impact, both locally and nationally. The SBA has structured this community-focused initiative with local entrepreneurial ecosystems in mind: a key emphasis of the program is building and strengthening entrepreneurial networks within a particular community, so that firms can grow by leveraging and complimenting the existing resources and expertise in their areas.

  17. Confidence in sustaining business in COVID-19 Singapore 2020, by company...

    • statista.com
    Updated Jan 25, 2021
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    Statista (2021). Confidence in sustaining business in COVID-19 Singapore 2020, by company type [Dataset]. https://www.statista.com/statistics/1200719/singapore-confidence-in-sustaining-business-in-covid-19-by-company-type/
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    Dataset updated
    Jan 25, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 9, 2020 - Nov 28, 2020
    Area covered
    Singapore
    Description

    According to the national business survey conducted in Singapore in November 2020, ** percent of small and medium businesses and enterprises surveyed were confident that they could sustain their business during the COVID-19 pandemic. The national and global lockdowns imposed during the COVID-19 pandemic has had an adverse impact on businesses and the economy.

  18. Intellectual Property Office (IPO): business impact target

    • gov.uk
    • s3.amazonaws.com
    Updated Dec 20, 2021
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    Intellectual Property Office (2021). Intellectual Property Office (IPO): business impact target [Dataset]. https://www.gov.uk/government/publications/the-business-impact-target
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    Dataset updated
    Dec 20, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Intellectual Property Office
    Description

    The business impact target (BIT) concerns the economic impact of regulation on business. Under the provisions of the Small Business and Enterprise Act 2015, government departments and regulators are required to publish a list of new or amended regulatory activities and the economic impact of those activities on business.

    Regulatory provisions are defined as qualifying regulatory provisions (QRPs) and non-qualifying regulatory provisions (NQRPs). QRPs are regulatory activities which are scored against the BIT. NQRPs are regulatory activities which are excluded from the BIT. Regulators are required to publish lists of both QRPs and NQRPs.

  19. 1999 Nonemployer Statistics: Non Employer Statistics

    • catalog.data.gov
    Updated Sep 21, 2023
    + more versions
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    U.S. Census Bureau (2023). 1999 Nonemployer Statistics: Non Employer Statistics [Dataset]. https://catalog.data.gov/dataset/1999-nonemployer-statistics-non-employer-statistics
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    Dataset updated
    Sep 21, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    Nonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income. The majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses.

  20. U

    United States SB: AL: COVID-19 Impact: Little or No Effect

    • ceicdata.com
    Updated Apr 11, 2022
    + more versions
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    CEICdata.com (2022). United States SB: AL: COVID-19 Impact: Little or No Effect [Dataset]. https://www.ceicdata.com/en/united-states/small-business-pulse-survey-by-state-south-region/sb-al-covid19-impact-little-or-no-effect
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    Dataset updated
    Apr 11, 2022
    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 27, 2021 - Apr 11, 2022
    Area covered
    United States
    Description

    United States SB: COVID-19 Impact: Little or Number Effect data was reported at 29.200 % in 11 Apr 2022. This records an increase from the previous number of 24.900 % for 04 Apr 2022. United States SB: COVID-19 Impact: Little or Number Effect data is updated weekly, averaging 26.550 % from Nov 2020 (Median) to 11 Apr 2022, with 54 observations. The data reached an all-time high of 34.900 % in 20 Dec 2021 and a record low of 17.700 % in 09 Nov 2020. United States SB: COVID-19 Impact: Little or Number Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S051: Small Business Pulse Survey: by State: South Region: Weekly, Beg Monday (Discontinued).

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Carolina Small Business Development Fund (2022). Replication Data for: The Economic Impact of Assisting Small Firms - Entrepreneurship in Uncertain Times [Dataset]. http://doi.org/10.7910/DVN/JYYYNU

Replication Data for: The Economic Impact of Assisting Small Firms - Entrepreneurship in Uncertain Times

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tsvAvailable download formats
Dataset updated
Dec 17, 2022
Authors
Carolina Small Business Development Fund
License

https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/JYYYNUhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/JYYYNU

Description

This dataset includes anonymized information about all of CSBDF's closed loans that were utilized in the lending economic impact analysis for FY22 (July 1, 2021 through June 30, 2022). The data contain anonymized information on all lending transactions during the period, including selected characteristics of the recipient small businesses and their owner(s).

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