Statistics Explained

High-growth enterprises - statistics


Planned article update: December 2024

Highlights


Data on the growth of firms can offer many interesting insights: What can we learn from observing the growth trajectories of small and medium-sized enterprises (SMEs)? How does growth change with enterprise age? Do firms that experience particularly strong growth cluster in specific regions or sectors?

Official statistics on high-growth enterprises (HGEs) can help to answer such questions, for example by highlighting their economic and sectoral characteristics. As such, this type of data is a key guidepost for many policy areas, from cohesion to employment and social policy, from industrial to innovation policy.

After introducing these policy areas, this article gives an overview of the data on high-growth enterprises available at Eurostat, also referring to news items, explanatory articles, glossary entries and databases on this topic. By presenting relevant statistical definitions embedded in broader statistical domains and policy areas, the article aims to guide the reader through Eurostat’s broad range of data on offer.



Full article

High-growth enterprises in the context of European policy making

High-growth enterprises (HGEs) play an important role in job creation and innovation in the EU’s single market. As drivers of employment, industrial renewal and sectoral productivity, they are at the heart of European entrepreneurship and economic growth, in particular in the context of recovering from the impact of the Covid-19 pandemic. Statistical information about high-growth enterprises can support several European initiatives. In policy discourse, terms like ‘startups’ and ‘scale-ups’ are often associated with enterprises which exhibit high growth rates. Policies and projects under the Commission’s Startup Europe initiative, funding by the European Innovation Council (EIC) or initiatives within the Single Market Programme are designed to support (highly innovative) companies in scaling their growth. They aim at boosting competitiveness, in particular for small and medium-sized enterprises (SMEs), whose central role as the backbone of Europe’s economy is reflected in the European Commission’s SME strategy. Intended to improve business conditions for ‘startups’ and ‘scale-ups’, such policies range from easing access to finance to reducing administrative burdens, in particular for SMEs.

In the context of the EU’s twin green and digital transitions, there are also sector- and technology-specific accelerator programmes for ‘start-ups’ and ‘scale-ups’, for example by the European Institute of Innovation and Technology (EIT) or the European Startup prize. The Digital Europe Programme provides funding for key areas of the digital economy, including super-computing, artificial intelligence and cyber-security. Through a network of European Digital Innovation Hubs (EDIHs), it also provides a support infrastructure of knowledge hubs to aide companies with challenges arising from the digital transformation. Their roll-out across different regions of the EU aims to embed innovation at a regional level. Similarly, the European Entrepreneurial Region label as well as the Startup Europe regions network highlight the importance of supporting entrepreneurial activity, in particular of ‘start-ups’ and ‘scale-ups’, as an investment in regional competitiveness.

Indicators available at Eurostat at a glance

To describe high-growth enterprises, Eurostat’s statistics on the structure and dynamics of European businesses, in particular in the domain of business demography, offer relevant indicators. Unlike some of the terms used synonymously for ‘high-growth enterprises’ in popular and policy discourse, the term 'high-growth enterprise' in official statistics has a clear definition specified in the Implementing Regulation of the European Business Statistics Regulation[1]: A high-growth enterprise is an enterprise with an average annualised growth in employees that is greater than 10 % over a three-year period, whereby the enterprise must have at least 10 employees at the beginning of said growth period.

Based on this employment-based definition laid down in the Regulation, Eurostat publishes the following indicators, for which data collection is mandatory in all EU Member States:

An alternative to the employment-based definition presented above relies on turnover to distinguish high-growth enterprises. According to this definition, a high-growth enterprise is an enterprise with an average annualised growth in turnover that is greater than 10 % over a three-year period, whereby the enterprise must have at least 10 employees at the beginning of said growth period. Based on this turnover-based definition, two indicators are available:

As the data collection based on this definition is voluntary, country coverage of these variables is incomplete, with data available for less than half of the EU Member States.

Additional business demography indicators, such as death and survival rates are not available for high-growth enterprises. For further details on calculations and coverage, the methodological section of this article offers more in-depth explanations. The table below links to databases, which contain one or more of these indicators:

Description Database name Code Available indicators Aggregation levels
High-growth enterprises by countries and economic activities High growth enterprises (growth by 10 % or more) and related employment by NACE Rev. 2 BD_9PM_R2 all indicators listed above, breakdown for gazelles (see below) NACE levels 1 to 3, Country level + EU aggregates
High-growth enterprises by regions and economic activities Business demography and high growth enterprise by NACE Rev. 2 and NUTS 3 regions BD_HGNACE2_R3 number of high-growth enterprises (employment-based definition) and share of high-growth enterprises in the population of active enterprises with 10 employees and more (employment-based definition) NACE level 1, Country level, NUTS levels 1 to 3
High-growth enterprises by territorial typology (e.g. urban, rural, coastal etc.) and economic activities Business demography and high growth enterprise by NACE Rev. 2 activity and other typologies URT_BD_HGN2[2] share of high-growth enterprises in the population of active enterprises with 10 employees and more (employment-based definition) NACE level 1, Country level, Territorial typology (urban – rural, coastal – mountain, island/non-island, border/non-border)
High-growth enterprises by metropolitan regions and economic activities Business demography and high growth enterprise by NACE Rev. 2 activity and metropolitan regions MET_BD_HGN2[3] share of high-growth enterprises in the population of active enterprises with 10 employees and more (employment-based definition) NACE level 1, Metropolitan regions (aggregated from NUTS 3 level)


Gazelles: Young high-growth enterprises

In the context of enterprise maturity, it is possible to distinguish sub-populations amongst high-growth enterprises based on their age: The EBS Regulation defines young high-growth enterprises as gazelles, namely five and four year old enterprises with at least 10 employees at the beginning of their growth period (for the full statistical definition, see methodological section of this article). Some of the indicators listed above are also available for the gazelle subpopulation, based on both the employment and the turnover definition of high-growth enterprise:

Currently, the data collection for gazelles is voluntary. As such, neither of the variables has full coverage, with data for the employment-based definition available for a few more countries than for the turnover-based definition. For the relevant database, please consider the overview table above. Additional business demography indicators, such as death and survival rates are not available for gazelles. From reference year 2021 onwards, data collection on the gazelle sub-population is compulsory based on the employment-based definition. Going forward from reference year 2021, the rest of the indicators available for high-growth enterprises based on the employment-based definition will also become available:

A geographical perspective: High-growth enterprises by regional and territorial units

To explore the spatial distribution of high-growth enterprises, Eurostat also offers a geographical breakdown for some of the variables, which are collected as part of the compulsory data collection. This breakdown is available at different levels of granularity, from the national level down to small regions, defined at the NUTS 3 level. Insights into the regional breakdown of high-growth enterprises are summarised in a Statistics Explained article. The relevant database is listed in the overview table above. A complement to this is a breakdown by territories, i.e. a classification of geographical units by their territorial nature rather than their location alone. This typology distinguishes between urban and rural regions as well as between coastal and mountainous regions, allowing for a closer analysis of high-growth enterprises by territory. Like the geographical breakdown, only some of the compulsory, employment-based variables are available at this granularity. The relevant database is listed in the overview table above. Finally, high-growth enterprises can be analysed from a spatial economy perspective in a breakdown by metropolitan regions. For this breakdown, only one variable from the employment-based compulsory collection is available: The share of high-growth enterprises in the population of active enterprises with at least 10 employees. The relevant database is listed in the overview table above.

A sectoral perspective: High-growth enterprises by economic activity

For sector-specific analysis, high-growth enterprises can be broken down by economic activity, a perspective particularly relevant for guiding sector-specific policy measures. The indicators presented above are available for different economic activities as recorded by NACE Rev. 2, at different levels of granularity, from the first level (sections) to the third level (groups). Not all indicators have coverage of all economic activities at the highest level of granularity. For ratio-based indicators in particular, coverage is determined by the coverage of the denominator. For further information, the methodological section of this article offers a more in-depth explanation. While it is possible to combine the sectoral and the geographical perspective, economic breakdowns of geographical units beyond the country are available at section level only.

Future data availability for high-growth micro enterprises

Currently, statistics on high-growth enterprises cover enterprises with 10 or more employees at the beginning of growth. To extend data collection to enterprises, which are very small at the beginning of growth (for the full statistical definition, see methodological section of this article), a pilot project was created to cover micro enterprises with 1 to 9 employees based on similar methodological principles as the data collection on high-growth enterprises: Most importantly, its growth criterion to distinguish high-growth micro enterprises was derived from the high-growth enterprise population with at least 10 employees: For these, annualised growth of more than 10 % over a three year period entails an employee count of more than 13.31 employees after three years. Analogously, micro enterprises with 1 to 9 employees at the beginning of growth need to grow by more than 3.31 employees over three years to be called high-growth micro enterprises. On these high-growth micro enterprises, 12 countries submitted data to Eurostat as part of the pilot project.[4] The following variables were collected: number of enterprises, employees, persons employed, turnover and finally gross value added. Additionally, a breakdown into two size classes is available, distinguishing between enterprises with 1 to 4 employees and those with 5 to 9 employees. Due to the non-mature nature of these statistics, the data collected in this study is published under the category experimental statistics. A thematic deep dive into high-growth micro enterprises based on the data collected in the pilot study can be found in this Statistics Explained article. After the conclusion of the pilot project, a new data collection on high-growth micro enterprises was launched in which EU Member States can transmit data to Eurostat on a voluntary basis. Data transmitted in this context will become available on the Eurostat website in the first quarter of 2023, together with a Statistics Explained article on this data.

Statistical definitions and Methodological notes

As described above, the statistical definition of high-growth enterprises is laid down in the EBS legislative framework [5]]. Specifically, Variable 210103, defining the number of high-growth enterprises includes the statistical definition of high-growth enterprises: “[…] enterprises, having at least 10 employees in t – 3, with average annualised growth in number of employees greater than 10 % per annum, over a three-year period (t – 3 to t). It does not include enterprises, as defined in variable 210201 ‘enterprise births’, in t – 3.”[6] In other words, for a given reference year, the definition of high-growth enterprises includes all enterprises which were a) active but b) not born 3 years before the reference year, c) had at least 10 employees 3 years before the reference year and d) exhibit an average annualized growth in employees which is greater than 10 % in the three year period leading up to the reference year. Member States are legally obliged to use this definition in their compulsory annual data collections in this area. An alternative definition, based on which additional data can be submitted to Eurostat on a voluntary basis, relies on turnover rather than employment to measure growth. By this definition, high-growth enterprises are those with an average annualised growth in turnover that is greater than 10 % over a three-year period, with the size threshold of 10 or more employees still applicable. As such, high-growth enterprises according to the turnover-based definition must also have at least 10 employees in t-3, and those which are born in t-3 are excluded from the high-growth population of t, even if they satisfy all the other conditions. The rationale for excluding enterprises, which were born in t-3, in both the employment-based and the turnover-based definition, is to make sure that all enterprises in the population have the same average period of activity for each year considered for the growth period. For new-born enterprises, the average period of activity in the first year of operation varies, depending on the month in which they were founded. For more detailed methodological notes, the 2007 Eurostat-OECD Manual on Business Demography Statistics as well as the UN guidelines on the use of statistical business registers for business demography and entrepreneurship statistics provide more in-depth explanations. It is important to note that the Eurostat-OECD Manual uses a different growth threshold for high-growth enterprises, namely 20 %. This threshold has since been reduced to 10 % for international data reporting, based on results from pilot studies. The UN guidelines also recommend 10 %. For Eurostat data, the 10 % threshold is a legal requirement laid down in the Implementing Regulation of the European Business Statistics Regulation. Regarding data coverage, it is important to note that not all indicators cover all economic activities at the highest level of granularity. For ratio-based indicators in particular, coverage is determined by the lower granularity component of the fraction. Since count variables for high-growth enterprises are available down to the NACE group level, this lower granularity component is usually the denominator, which depends on the active enterprise population of enterprises with 10 employees or more.

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Notes

  1. Commission Implementing Regulation (EU) 2020/1197 laying down technical specifications and arrangements pursuant to the Regulation of the European Parliament and of the Council (EU) 2019/2152 on European business statistics (‘EBS Regulation’).
  2. This database has been derived from BD_HGNACE2_R3
  3. This database has been derived from BD_HGNACE2_R3
  4. The reference year, for which the pilot study collected data, was 2017. The countries which participated in the pilot study are Austria, Bulgaria, Croatia, Denmark, Estonia, Finland, Iceland, Lithuania, Netherlands, Norway, Portugal and Sweden.
  5. Commission Implementing Regulation (EU) 2020/1197 laying down technical specifications and arrangements pursuant to the Regulation of the European Parliament and of the Council (EU) 2019/2152 on European business statistics (‘EBS Regulation’).
  6. Commission Implementing Regulation (EU) 2020/ of 30 July 2020 laying down technical specifications and arrangements pursuant to Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics repealing 10 legal acts in the field of business statistics (europa.eu)