This statistic displays the distribution of total enterprises in the Netherlands in 2022, by employment size. According to the DIW estimates, there were roughly **** million enterprises in non-financial business sectors in the Netherlands in 2022. The majority of these at **** percent were micro firms, which employed less than *** employees. In contrast, only *** percent of the companies employed over *** people.

In 2020, sales generated by large business enterprises accounted for **** percent of the sales of all business enterprises in Japan. Business enterprises in Japan generated sales of around ******* trillion Japanese yen.

Annual counts of enterprises by age of owner (younger than 30 years, 30 to 39 years, 40 to 49 years, etc.) and enterprise size.

Percentage of enterprises for which specific long-term strategies were the most important, by North American Industry Classification System (NAICS) code and enterprise size, over the next five years. The most important long-term strategies include main focus on good or service positioning, main focus on low-price and cost leadership, and good or service positioning and low-price and cost leadership are equally important.

In 2020, large business enterprises accounted for **** percent of the value added generated in the finance industry in Japan. SMEs accounted for ** percent of the value added generated by the total of business enterprises in Japan.

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.

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.

The dataset contains the businesses and employees surveyed in the 9th Census of Industry and Services. The survey units are: sole proprietorships, partnerships and corporations, cooperatives (excluding social cooperatives, covered by the survey on non-profit institutions), private law consortia, economic public bodies, special companies and public utility companies. For the purposes of the census, self-employed workers and freelancers are also considered enterprises. The companies are classified by Ateco 2007 (5 digits), number of workers (employees, independent, external, temporary) and their characteristics. NOTE: not all categories of workers are classified according to the same characteristics: e.g. nationality is only available for employees, profession only for employees, etc.). This dataset was released by the municipality of Milan.

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.

Based on the annual EGR final frame, Eurostat releases aggregated data on multinational enterprise groups as experimental statistics in the following tables:

• Multinational enterprise groups in EU-EFTA countries by controlling country (egr_mne).

Number of multinational enterprise groups having at least one legal unit located in the EU-EFTA by controlling country/area. The controlling area is defined by the location of the Ultimate controlling institutional unit (UCI).

• Persons employed in multinational enterprise groups by size class (egr_emp).

Persons employed (employees and self-employed persons) by multinational enterprise groups in the EU-EFTA countries by controling country/area, main activity and worldwide size class of multinational enterprise groups, and country/area of work.

The percentage of total employment refers to Structural business statistical figures. From 2018-2020 the total employment considers persons working in the non-financial business economy (B to N excluding K). From 2021 onwards, with the SBS extended scope, the total employment considers the person working in the activity B to S excluding O and S94. This change explains the break in the time series.

• Concentration of multinational enterprise groups by NACE Rev. 2 activity (egr_conc).

Share of total employment in EU of the largest MNE groups by NACE activity of the enterprises belonging to the groups. The total employment used Structural business statistical figures.

• Multinational enterprise groups in EU-EFTA countries by controlling country, size class and NACE Rev. 2 activity.

Number of multinational enterprise groups having at least one legal unit located in the EU-EFTA by controlling country/area, main activity and worldwide size class of multinational enterprise groups (egr_mne_n2sc).

• Multinational enterprise groups employment by controlling country group size class NACE Rev. 2 and country of work (egr_mne_empw).

Persons employed (employees and self-employed persons) by multinational enterprise groups by controlling country/area, main activity and worldwide size class of multinational enterprise groups, and country/area of work.

The EGR covers multinational enterprise groups having at least one Legal unit located in the EU Member States or EFTA countries. The EGR includes micro data about the control structures of multinational enterprise groups, their constituent Legal units and corresponding Enterprises. The core variables for multinational enterprise groups, enterprises and legal units, are:

• identification variables,
• demographic events,
• control and ownership,
• stratification parameters, and
• economic variables (e.g., employment, turnover, economic activity code, etc.).

The EGR statistical frame has the purpose to improve the consistency of national statistics on cross border phenomena and thus better measure the economic globalization in the European Union. The EGR offers to the statistical users a tool for coordinating their frame population, for deriving consistent statistical output with improved quality, and for creating new statistical output and breakdowns. This is achieved by allowing microdata linking to many business statistics and providing insights in measuring global activities of European enterprises part of multinational enterprise groups.

The EGR is a statistical business register and can be used for statistical use only by users of the National Statistical Institutes, National Central Banks and the European Central Bank.

Percentage of enterprises with certain types of web presence by the North American Industry Classification System (NAICS) and size of enterprise. Web presence refers to Internet-based locations where information about a business can be found by external parties.

There were estimated to be approximately **** 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 **** million enterprises were small firms with between ** and ** employees, while ******* were medium-sized firms that had ** to *** 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 **** percent of all active businesses in Europe, while producing almost ** 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 ** million employed by SMEs In 2024 SME’s in the European Union employed almost ** million people. In Europe’s biggest economy, Germany, SMEs employed **** million people, with over *** million people employed by small-sized enterprises alone.

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

Number of businesses by turnover size band. The 2008 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). See more on the ONS website. Starting from the 2024 data, the format has been updated to align with the ONS standard. A new column has been added to include the updated ONS codes. Additionally, extra Turnover Size bands have been incorporated to ensure consistency with ONS data.

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.

Abstract

This research was conducted in Lithuania from June 19 to July 31, 2002, as part of the second round of the Business Environment and Enterprise Performance Survey. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The survey topics include company's characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement, security, government policies and regulations, bribery, sources of financing, overall business environment, performance and investment activities, and workforce composition.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment.

Universe

The manufacturing and services sectors are the primary business sectors of interest.

Kind of data

Sample survey data [ssd]

Sampling procedure

The information below is taken from "The Business Environment and Enterprise Performance Survey - 2002. A brief report on observations, experiences and methodology from the survey" prepared by MEMRB Custom Research Worldwide (now part of Synovate), a research company that implemented BEEPS II instrument.

The general targeted distributional criteria of the sample in BEEPS II countries were to be as follows:

1) Coverage of countries: The BEEPS II instrument was to be administered to approximately 6,500 enterprises in 28 transition economies: 16 from CEE (Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, FR Yugoslavia, FYROM, Hungary, Latvia, Lithuania, Poland, Romania, Slovak Republic, Slovenia and Turkey) and 12 from the CIS (Armenia, Azerbaijan, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Moldova, Russia, Tajikistan, Turkmenistan, Ukraine and Uzbekistan).

2) In each country, the sector composition of the total sample in terms of manufacturing versus services (including commerce) was to be determined by the relative contribution of GDP, subject to a 15% minimum for each category. Firms that operated in sectors subject to government price regulations and prudential supervision, such as banking, electric power, rail transport, and water and wastewater were excluded.

Eligible enterprise activities were as follows (ISIC sections): - Mining and quarrying (Section C: 10-14), Construction (Section F: 45), Manufacturing (Section D: 15-37) - Transportation, storage and communications (Section I: 60-64), Wholesale, retail, repairs (Section G: 50-52), Real estate, business services (Section K: 70-74), Hotels and restaurants (Section H: 55), Other community, social and personal activities (Section O: selected groups).

3) Size: At least 10% of the sample was to be in the small and 10% in the large size categories. A small firm was defined as an establishment with 2-49 employees, medium - with 50-249 workers, and large - with 250 - 9,999 employees. Companies with only one employee or more than 10,000 employees were excluded.

4) Ownership: At least 10% of the firms were to have foreign control (more than 50% shareholding) and 10% of companies - state control.

5) Exporters: At least 10% of the firms were to be exporters. A firm should be regarded as an exporter if it exported 20% or more of its total sales.

6) Location: At least 10% of firms were to be in the category "small city/countryside" (population under 50,000).

7) Year of establishment: Enterprises which were established later than 2000 should be excluded.

The sample structure for BEEPS II was designed to be as representative (self-weighted) as possible to the population of firms within the industry and service sectors subject to the various minimum quotas for the total sample. This approach ensured that there was sufficient weight in the tails of the distribution of firms by the various relevant controlled parameters (sector, size, location and ownership).

As pertinent data on the actual population or data which would have allowed the estimation of the population of foreign-owned and exporting enterprises were not available, it was not feasible to build these two parameters into the design of the sample guidelines from the onset. The primary parameters used for the design of the sample were: - Total population of enterprises; - Ownership: private and state; - Size of enterprise: Small, medium and large; - Geographic location: Capital, over 1 million, 1 million-250,000, 250-50,000 and under 50,000; - Sub-sectors (e.g. mining, construction, wholesale, etc).

For certain parameters where statistical information was not available, enterprise populations and distributions were estimated from other accessible demographic (e.g. human population concentrations in rural and urban areas) and socio-economic (e.g. employment levels) data.

Sampling deviation

The survey was discontinued in Turkmenistan due to concerns about Turkmen government interference with implementation of the study.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Screener and Main Questionnaires.

The survey topics include company's characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement, security, government policies and regulations, bribery, sources of financing, overall business environment, performance and investment activities, and workforce composition.

Cleaning operations

Data entry and first checking and validation of the results were undertaken locally. Final checking and validation of the results were made at MEMRB Custom Research Worldwide headquarters.

Response rate

Overall, in all BEEPS II countries, the implementing agency contacted 18,052 enterprises and achieved an interview completion rate of 36.93%.

Respondents who either refused outright (i.e. not interested) or were unavailable to be interviewed (i.e. on holiday, etc) accounted for 38.34% of all contacts. Enterprises which were contacted but were non-eligible (i.e. business activity, year of establishment, etc) or quotas were already met (i.e. size, ownership etc) or to which “blind calls” were made to meet quotas (i.e. foreign ownership, exporters, etc) accounted for 24.73% of the total number of enterprises contacted.

This collection automatically includes metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL OFFICE OF THE REPUBLIC OF SLOVENIA and corresponds to the source collection entitled "Enterprise demographics and demography of enterprises with at least one person employed by enterprise size according to the number of employees, cohesion and statistical regions, Slovenia, annually".

The actual data is available in PC-Axis format (.px). Among the additional links, you can access the pages of the source portal for insight and selection of data, and there is also the PX-Win program, which can be downloaded for free. Both allow you to select data for display, change the format of the printout and save it in different formats, as well as view and print tables of unlimited size and some basic statistical analyses and graphical representations.

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.

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

Percentage of enterprises for which specific reasons for bringing distribution and logistics services activities to Canada were not at all important, somewhat important, important or very important, by North American Industry Classification System (NAICS) code and enterprise size, based on a three-year observation period. Reasons for bringing business activities to Canada include cost savings from locating abroad did not materialize (lower operating costs), labour costs abroad have risen (lower labour costs in Canada), better quality of labour or resources in Canada, lower Canadian dollar, consolidating number of suppliers, tax or other financial incentives, concerns about intellectual property, proximity to customers or other logistical issues, and other reasons related to distribution and logistics services.