This table contains 2736 series, with data starting from 2001 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Business dynamics measure (16 items: Number of active employer businesses in the private sector; Number of entrants; Number of incumbents; Number of exits; ...) North American Industry Classification System (NAICS) (19 items: Private sector; Agriculture, forestry, fishing and hunting; Mining, quarrying, and oil and gas extraction; Utilities; ...) Firm size (9 items: Private sector; From 0 to less than 100 employees; From 0 to less than 50 employees; Less than 5 employees; ...).

Number local units or enterprises shows the number of businesses by employment size band. A local units is a place of work factory, a shop, or a branch. An enterprise can be thought of as the overall business, made up of all the individual sites or workplaces (local units). It is defined as the smallest combination of legal units (generally based on VAT and/or PAYE records) that has a certain degree of autonomy within an enterprise group. SME data can be found in these table. An SME is any business with less than 250 employees. Micro-enterprises have up to 10 employees. Small enterprises have up to 50 employees. Medium-sized enterprises have up to 250 employees. Figures are provided for VAT and/or PAYE based enterprises and local units. Where an enterprise has several local units, the location of the enterprise is generally the main operating site or the head office. Since 2008 the publication has been enhanced to include enterprises based on PAYE employers that are not also registered for VAT, extending the scope from the previous VAT based enterprise publication. This is a major change to the scope of the publication. The increase in units is most noticeable in the VAT-exempt industries of finance (J), education (M), health (N) and public administration (L, O and Q). Analysis for VAT and/or PAYE based enterprises can be found on the ONS website in their reports titled UK Business: Activity, Size and Location using the link below. Where an enterprise has several local units, the location of the enterprise is generally the main operating site or the head office. Data on size of firms (micro-business, SME, large) for business and employees in London by industry can be found on the ONS website. Trend data by MSOA is also available.

Structural business statistics (SBS) describe the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors).
The EU Member States transmit SBS annually to the European Commission (Eurostat) based on European legislation.
SBS covers all activities of the business economy with the exception of agricultural activities, public administration and largely non-market services such as education and health. The data is provided by all EU Member States, Iceland, Norway and Switzerland, some candidate and potential candidate countries.
Most data is collected by National Statistical Institutes (NSIs) through statistical surveys, business registers or various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K).
Member States apply various statistical methods - such as grossing up, model based estimation or different forms of imputation - according to the data source to ensure the quality of SBS produced.

Main characteristics (variables) of the SBS data category:

• "Business Demographic" variables (e.g. Number of active enterprises)
• "Output related" variables (e.g. Net turnover, Value added)
• "Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Purchases of goods and services); capital input (e.g. Gross investments)

All SBS characteristics are published on Eurostat’s website in tables. An example of the existent tables is presented below:

• Annual enterprise statistics broken down by size classes: SBS data is published by country and employment size class (0-9; 10-19; 20-49; 50-249; 250 persons employed or more), again broken down by detailed economic activity, group level (3-digits). Additional size classes 0-1 and 2-9 persons employed are available for NACE Rev 2 Sections F to J, L to N and P to R and divisions S95 and S96 only for variables "Number of active enterprises" and "Number of employees and self-employed persons". For trade (NACE Rev 2 Section G) a supplementary breakdown by size class of turnover is available.
• Annual enterprise statistics: SBS data is published by country and detailed economic activity (NACE Rev 2) class level (4-digits) and special aggregates.
• Annual/bi-annual business services statistics: "Net turnover by product" and "Net turnover by residence of client" are published by country and detailed down to NACE Rev 2 group level (3-digits). The statistics on “Net turnover by product” permit analysis of products' relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by residence of client” enable analysis of the type and location of clients and client specialisation.
• Annual regional statistics: Three characteristics are published by NUTS-2 country regions and detailed on NACE Rev 2 division level (2-digits).

Starting from the reference year 2023, voluntary data in new size classes called Small-Mid Caps (i.e. 250-499 and 500 and more persons employed) of selected SBS variables are transmitted by Member States and published together with legal size classes in a new Eurostat table.

More information on the contents of different tables and the detail level and breakdowns required starting with the reference year 2021, is defined in Commission Regulation 2019/2152 (‘EBS Regulation’) and Regulation (EU) 2020/1197 (‘EBS General Implementing Act’) concerning European Business Statistics.

Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available in the Annexes.

Data on the number of small and medium-sized enterprises (SMEs) in Finland from 2008 to 2021, by their size, show that micro-sized enterprises that employ up to **** people make up the majority of SMEs in Finland with approximately *** thousand of them in 2021.

For 2024, cyber incidents were a leading business risk to companies of all sizes globally according to risk management experts worldwide. Some industries are more prone to cyberattacks than others. For instance, manufacturing was the most targeted industry globally by ransomware incidents in 2023. Meanwhile, the number of cyber incidents in the financial sector increased in recent years. How does cybercrime jeopardize businesses? Cyber incidents pose a multitude of risks to businesses across various aspects. Financially, they can result in direct losses through theft, ransom payments, or disruptions in operations, which affect revenue streams and stability. Between 2001 and 2023, the monetary damage from cybercrime in the United States rose from **** million U.S. dollars to a staggering **** billion dollars. What challenges do businesses face due to inflation? Inflation poses numerous challenges to organizations, affecting consumer spending, interest rates, driving up operational expenses, and creating uncertainty in strategic planning. Rising prices frequently result in increased costs for raw materials and wages, thereby reducing profit margins. Throughout much of the 2010s, inflation was consistently low, especially between 2013 and 2020, when it fluctuated between *** and *** percent. However, the annual global inflation rate peaked in 2022, at **** percent, and is expected to decline in the following years. This heightened inflation was a sign that the global economy was undergoing a period of great uncertainty, which made it more expensive to do business.

Employment for all employees by enterprise size and North American Industry Classification System (NAICS), last 5 quarters.

Table NameTransportation and Warehousing: Subject Series: Estab & Firm Size: Summary Statistics by Employment Size of Firms for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationEC1248SSSZ1 through EC1248SSSZ4, and EC1248SSSZ6 through EC1248SSSZ7 present data by employment and revenue size for establishments and firms, single unit and multiunit firms, concentration by largest firms, and legal form of organization for the United States. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Transportation and Warehousing (Sector 48-49).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:.Firms.Establishments.Revenue.Annual payroll.First-quarter payroll.Paid employees.Each record includes an EMPSZFF code which represents a specific employment size category of firms.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector48/EC1248SSSZ5.zipContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only firms and establishments of firms with payroll. Excludes data for corporate, subsidiary, and regional managing offices and establishments of these firms that are classified in other categories than those specified in this file. See Table Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and for information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census...Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote...Note: Railroad transportation and U.S. Postal Service are out of scope for the 2012 Economic Census.

This table provides up-to-date information about the opinions held by Dutch entrepreneurs on their achievements, expectations and judgments regarding their business. This panel survey is aimed at gaining insight into the current situation, future development and the judgments of Dutch enterprises. As a result it is possible to detect turning points in optimism or pessimism at an early stage, providing an early indication of possible trend changes in the economic activities of the Dutch enterprises. Data are broken down by main business activities (SIC 2008) and size- classes. The questions submitted to the entrepreneurs at the beginning of a quarter concern output, turnover, prices, order books, stocks, investments, competitive position, economic climate, staff size and the obstacles they have encountered. In answering the questions relating to developments in the past three months and expectations for the next three months, the entrepreneurs are asked for a comparison with the preceding period of three months.

The aggregation ‘all enterprises (no finance or energy)’ includes all available branches questioned in the Business Survey Netherlands. Because not every branch is questioned monthly, this aggregation will only have data available for the first month of each quarter. The aggregation ‘C industry, H-S services and 45+47’ includes all monthly questioned branches and serves as a subtotal of the monthly questionnaire.

Data available from: January 2015

Status of the figures: All figures are definitive.

Changes as of November 6th 2025: Figures of October 2025 have been added.

Changes as of September 4th 2025: Corrections have been made to previously supplied data for the manufacture of metals. For this reason figures for the topics ‘Assessment of finished products stocks’ and ‘Orders placed next three months’ have been adjusted for C Manufacturing and other activities which manufacturing is part of.

When will new figures be published? Figures of November 2025 are expected to be published the 27th of November 2025.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors).

SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.

SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Iceland, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) :

• Annex I - Services,
• Annex II - Industry,
• Annex III - Trade, and
• Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation.

The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J).

Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced.

Main characteristics (variables) of the SBS data category:

• Business Demographic variables (e.g. Number of enterprises),
• "Output related" variables (e.g. Turnover, Value added),
• "Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments).

All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:

• Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.
• Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.
• Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section).

More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003.

Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Table NameUtilities: Subject Series: Estab & Firm Size: Summary Statistics for Single Unit and Multiunit Firms for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationEC1222SSSZ1, EC1222SSSZ2, and EC1222SSSZ4 through EC1222SSSZ7 present data by employment and revenue size for establishments and firms, concentration by largest firms, and legal form of organization for the United States. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Utilities (Sector 22).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2- through 6-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:.Firms.Establishments.Revenue.Annual payroll.First-quarter payroll.Paid employees.Each record includes a SUMUFI code which represents either single unit firms or an establishment size category for multiunit firms.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector22/EC1222SSSZ3.zip.ContactInformation.U.S. Census Bureau, Economy Wide Statistics Division.Data User Outreach and Education Staff.Washington, DC 20233-6900.Tel: (800) 242-2184.Tel: (301) 763-5154.ewd.outreach@census.gov.. .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only firms and establishments of firms with payroll. Excludes data for establishments of these firms that are classified in other categories than those specified in this file. See Table Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and for information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

The social responsibility of the Labour Inspection Authority is given by the Storting. The Labour Inspection Authority shall set the premises for and follow up that the enterprises maintain a high level of health, working environment and safety. The Labour Inspection Authority shall, on a professional and independent basis, follow up that the enterprises fulfil their responsibilities under the Working Environment Act, the general application legislation and other relevant regulations that are assigned to the Authority of the Labour Inspection Authority. In the statistics you will find an overview of supervision carried out by the Labour Inspection Authority from 2015, divided by year, county, main industry and size of business. Here is also an overview of the proportion of supervision that has resulted in at least one reaction from the Labour Inspection Authority, and the number of reactions in total. A reaction is the Labour Inspection Authority’s requirement for businesses to rectify breaches of working environment regulations. Note that such violations may be of varying severity. The open data set consists of: Annual figures (Ar), County name (File), business size (Business size), Number of audits carried out (Number of audits), Number of audits performed (Number of withreactions), Number of reactions (NumberReactions)

Sample size and weighted enterprise counts of small and medium enterprises in 2020 by region, CMA level, North American Industry Classification System (NAICS), demographics, age of business, employment size, rate of growth, etc.

This statistic presents the number of employees employed by businesses selling on Amazon. According to a 2018 survey of mostly U.S.-based Amazon sellers, 73 percent of businesses only had one to five employees.

This statistic represents the distribution of companies in France as of 2022, depending on the size of the company. That year, the majority of companies were microcompanies, representing a share of over ** percent.

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This table lists small business size standards matched to industries described in the North American Industry Classification System (NAICS), as modified by the Office of Management and Budget effective January 1, 2012.

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.

IBISWorld’s small-to-medium enterprise (SME) industry reports provide accurate industry data and analysis that focus on operators with revenue of less than $10 million.

Survey of advanced technology, use of other business practices, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2014.

Enterprise Data Management Market is Segmented by Component (Software and Services), Deployment Model (Cloud and On-Premise), Enterprise Size (Large Enterprises and Small and Medium Enterprises), End-Use Industry (IT and Telecommunication, Healthcare and Life Sciences, Retail and E-Commerce, Manufacturing, Government and Public Sector, and More) and by Geography. The Market Forecasts are Provided in Terms of Value (USD).