During an online survey, 10.1 percent of surveyed small businesses in the United States said they had a decrease in their number of paid employees due to the COVID-19 pandemic during the week ending April 17, 2022. Another 8.2 percent of respondents said that they had increased the number of employees during the same week.
The Office of Advocacy’s Small Business Profiles are an annual portrait of each state’s small business. They gather the latest federal data into state-by-state snapshots of small business health and economic activity. Limited economic data is also provided for the U.S. territories. This year’s profiles report on state economic growth and employment, income and finance, employer business owner demographics, turnover among establishments with employees, international trade, small business employment by industry and county, and self-employment by county, and small businesses by industry.
During the week ending July 11, 2021, 9.4 percent of surveyed small businesses in New York said in an online survey that they had a decrease in their number of paid employees due to the COVID-19 pandemic. In the previous month, 7.3 percent of small businesses in the state reported the same.
This is one of our small business survey reports. It provides the findings for businesses with no employees in 2018.
The report provides details of business performance and the factors that affect this performance. It includes data on:
performance in terms of employment and turnover
ambition and expectations of future performance
access to finance
use of business support
capabilities
obstacles to business success
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Small Business Statistics: Small businesses are often seen as the backbone of the economy, and rightly so. They bring fresh ideas to the market and create jobs for people who may not have opportunities in larger companies. From one-person businesses to significant job creators, small businesses are crucial to the economy.
However, with 82% failing because of cash flow problems and only 50% making it to the five-year mark, it’s clear that achieving success is not easy. Here are some Small Business Statistics that can help entrepreneurs understand the market better and position their products or services for success.
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About 1.5 million jobs are created in the US every year by small businesses alone. This means that 64% of all job creation comes from small businesses.
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Graph and download economic data for Nonfarm Private Small Payroll Employment (1 - 49) (DISCONTINUED) (NPPTS) from Jan 2005 to May 2022 about 1 to 49, payrolls, nonfarm, private, employment, and USA.
During the week ending July 11, 2021, **** percent of surveyed small businesses in Pennsylvania said in an online survey that they had no change in their number of paid employees due to the COVID-19 pandemic. During the same week, *** percent of small businesses reported a decrease in paid employment.
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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.
During the week ending July 11, 2021, **** percent of surveyed small businesses in New Mexico said in an online survey that they had a decrease in their number of paid employees due to the COVID-19 pandemic. In the previous month, *** percent of small businesses in the state experienced a decrease in the number of paid employees.
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United States SBOI: sa: Employment: Hiring Plans data was reported at 20.000 % in Jun 2018. This records an increase from the previous number of 18.000 % for May 2018. United States SBOI: sa: Employment: Hiring Plans data is updated monthly, averaging 11.000 % from Jan 1986 (Median) to Jun 2018, with 390 observations. The data reached an all-time high of 24.000 % in Nov 2017 and a record low of -10.000 % in Mar 2009. United States SBOI: sa: Employment: Hiring Plans data remains active status in CEIC and is reported by National Federation of Independent Business. The data is categorized under Global Database’s USA – Table US.S016: NFIB Index of Small Business Optimism.
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The below table shows a complete breakdown of employer businesses owned by minorities.
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Graph and download economic data for Nonfarm Private Employment in Small Establishments with 1 to 19 Employees (ADPWES1T19ENERSA) from 2010-01-09 to 2025-05-17 about 1 to 19, small, establishments, nonfarm, private, employment, and USA.
During the week ending July 11, 2021, **** percent of surveyed small businesses in Montana said in an online survey that they had no change in their number of paid employees due to the COVID-19 pandemic. During the previous month, ** percent of small businesses reported an increase in paid employment.
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The paper deals with the potential relationship between higher education and entrepreneurial activities. Universities and other higher education institutions could be seen as boosting entrepreneurship in the region. University graduates could be more often involved in starting up a new business and the university itself could commercialize their innovations by creating academic spin-off companies. The paper aims to examine the potential effect of higher education on the probability of starting a business as well as its further success. Based on the data for 40 EU and non-EU countries, retrieved from a Eurobarometer survey, we conducted probit and IV probit regressions. These have tested the assumed relationship between higher education and entrepreneurial activities. Our results strongly suggest that higher education can often be very beneficial for starting up a new business and this seems to be one of the factors determining the success of new businesses. Furthermore, those respondents who attended courses related to entrepreneurship appear to be more active in starting-up a business and this seems to be also positively correlated with the company's future success. Interestingly, university graduates from Brazil, Portugal and India in particular, tend to appreciate the role that their universities have played in acquiring the skills to enable them to run a business.
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The Office of Advocacy’s Small Business Profiles are an annual analysis of each state’s small business activities. Each profile gathers the latest information from key federal data-gathering agencies to provide a snapshot of small business health and economic activity. This year’s profiles report on state economic growth and employment; small business employment, industry composition, and turnover; plus business owner demographics and county-level employment change.
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The global small business market size was USD 2,572 Billion in 2023 and is projected to reach USD 4,985 Billion by 2032, expanding at a CAGR of 8.50% during 2024–2032. The market growth is attributed to the proliferation of small businesses.
Growing number of small businesses are becoming the backbone of global economies, driving innovation and creating employment opportunities. They are not confined to traditional brick-and-mortar establishments and are embracing digital platforms to reach a wider audience. A novel application of small businesses is the rise of micro-consulting, where individuals with specialized knowledge offer their expertise on a project-by-project basis, thereby reducing overhead costs and providing flexible, tailored solutions for clients.
Growing regulatory changes are impacting the small business landscape. The most recent being the General Data Protection Regulation (GDPR) implemented by the European Union, which applies to all businesses, regardless of size, that handle personal data of EU citizens.
This regulation has significant implications for small businesses, as it necessitates stringent data protection measures. Non-compliance results in hefty fines, thus, it is likely to increase the demand for data security services and impact how small businesses manage customer data.
Artificial Intelligence (AI) has a considerable impact on the small business market. These enterprises automate routine tasks by integrating AI into their operations, thereby increasing efficiency and reducing operational costs. AI's predictive analytics capabilities enable these businesses to anticipate market trends and customer behavior, facilitating strategic decision-making.
AI-powered customer service tools, such as </span
🇬🇧 영국 English Findings of the Small Business Survey on the performance of small and medium-sized businesses with employees and with no employees. Official Statistics
Small business transactions and revenue data aggregated from several credit card processors, collected by Womply and compiled by Opportunity Insights. Transactions and revenue are reported based on the ZIP code where the business is located. Data provided for CT (FIPS code 9), MA (25), NJ (34), NY (36), and RI (44). Data notes from Opportunity Insights: Seasonally adjusted change since January 2020. Data is indexed in 2019 and 2020 as the change relative to the January index period. We then seasonally adjust by dividing year-over-year, which represents the difference between the change since January observed in 2020 compared to the change since January observed since 2019. We account for differences in the dates of federal holidays between 2019 and 2020 by shifting the 2019 reference data to align the holidays before performing the year-over-year division. Small businesses are defined as those with annual revenue below the Small Business Administration’s thresholds. Thresholds vary by 6 digit NAICS code ranging from a maximum number of employees between 100 to 1500 to be considered a small business depending on the industry. County-level and metro-level data and breakdowns by High/Middle/Low income ZIP codes have been temporarily removed since the August 21st 2020 update due to revisions in the structure of the raw data we receive. We hope to add them back to the OI Economic Tracker soon. More detailed documentation on Opportunity Insights data can be found here: https://github.com/OpportunityInsights/EconomicTracker/blob/main/docs/oi_tracker_data_documentation.pdf
The total dollar amount invested in businesses with fewer than 500 employees per 50 businesses. Small business lending data to include FFIEC insured bank loans under $1 million to businesses made by large banks; venture capital investments; US Export-Import Bank loans; Small Business Innovation Research (SBIR) and Small business Technology Transfer Research (STTR) grants; government, philanthropic, and institutional grants supporting small businesses; Maryland Department of Commerce loans; State of Maryland Neighborhood BusinessWorks loans; Baltimore Development Corporation loans; and Small Business Administration 7a and 504 loans.Source: Johns Hopkins University, 21st Century Cities Initiative Years Available: 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023
During an online survey, 10.1 percent of surveyed small businesses in the United States said they had a decrease in their number of paid employees due to the COVID-19 pandemic during the week ending April 17, 2022. Another 8.2 percent of respondents said that they had increased the number of employees during the same week.