The CompNet dataset provides a comprehensive set of micro-aggregated indicators, specifically designed to enhance both policy analysis and academic research on competitiveness and productivity. All indicators are consistently calculated by national data providers based on firm-level information, ensuring high quality and cross-country comparability.
The dataset comprises indicators derived from firm-level data, collected and computed by national data providers. These indicators are systematically aggregated and harmonized to ensure consistency and comparability across countries.
For each indicator, a comprehensive set of statistical moments is available, including the 1st, 10th, 25th, 50th, 75th, 90th, 95th, and 99th percentiles, alongside the mean, standard deviation, skewness, kurtosis, the number of observations, and the sum of weights.
The dataset includes a wide range of variables organized across several modules, notably competitiveness, finance, labour, productivity, and trade. Beyond descriptive statistics, it also offers joint distributions and transition matrices to support more advanced analyses. Indicators are available at various levels of aggregation, including country level, macro-sectors, macro-sectors by size class, two-digit industry classifications, NUTS2 regions, firm age groups, and technological intensity categories. A complete overview of all available variables can be accessed here.
The dataset is structured as an unbalanced panel, comprising 17 European countries. The available time span varies by country, with data coverage extending from as early as 1995 up to 2023, depending on national data availability.
Country | All firms | 20e | Time Span |
Croatia | X | X | 2002–2023 |
Czech Republic | X | X | 2005–2022 |
Denmark | X | X | 2001–2022 |
France | X | 1995-2021 | |
Germany | X[1] | 2003-2020[2] | |
Hungary | X | X | 2003–2022 |
Latvia | X | X | 2006-2021 |
Lithuania | X | X | 2000–2022 |
Malta | X | X | 2010-2022 |
Netherlands | X | X | 2007–2022[3] |
Poland | X | 2002-2022 | |
Portugal | X | X | 2004–2022[4] |
Romania | X | 2005–2023 | |
Slovakia | X | 2000–2022 | |
Slovenia | X | X | 2002–2023 |
Spain | X | X | 2008–2022 |
Switzerland | X | X | 2009-2002 |
1. Germany: Only weighted version is available. The NUTS 2 data are not available.
2. Germany: Macro-sector coverage: Manufacturing (2001-2021), Wholesale and Retail Trade and Accommodation and Food Service Activities (2005-2020), other macro-sectors (2003-2020).
3. Netherlands: The macro sector Real Estate Activities only covers the period 2020-2022. NUTS 2 level is not provided.
4. Portugal: A significant number of indicators could not be calculated for the period 2004-2009.
The 10th Vintage dataset offers two distinct samples — the “all” sample and the “20e” sample — each available in both weighted and unweighted versions. For each sample, the dataset provides a rich set of information, including unconditional descriptive statistics, OP decompositions, Foster decompositions (for the weighted versions only), joint distributions, and transition matrices. This structure ensures that users can conduct detailed analyses on competitiveness, productivity, and firm dynamics across different dimensions. For a complete overview, you can access the 10th Vintage FlowChart.
The CompNet dataset stands out for its extensive data coverage and high level of cross-country comparability. Through continuous collaboration with national statistical institutes and central banks, CompNet ensures the ongoing improvement of firm-level data coverage, as well as the quality and reliability of its indicators. An example of CompNet’s application in policy analysis is the 2025 Firm Productivity Report. A broader selection of academic papers utilizing CompNet data can be found here.
The 10th Vintage User Guide offers a comprehensive overview of all the information needed to effectively use the dataset.
The Cross-Country Comparability Report (Melitz et al., 2018) assesses the reliability of CompNet data for both policy analysis and academic research. It evaluates the dataset in terms of coverage, representativeness, and cross-country comparability.
Yes, CompNet actively encourages interaction with researchers and policymakers. If you would like more information or wish to exchange ideas about your research using CompNet data, you are welcome to reach out to the CompNet team. Contact details and further resources can be found here.
All researchers can apply to have access to the CompNet competitiveness data by submitting the data request form to the CompNet team via the IWH Research Data Centre.
For our self-guided training please find more information here, which is currently based on the 9th vintage of the CompNet data base.
More information about the Monitor can be found here.