Archive
The portfolio of statistics under development is constantly evolving and regularly enriched by new, innovative statistical products.
In parallel, some statistics under development are removed from the portfolio. This happens when they have reached the level of maturity expected of European statistics, or conversely when, following initial experimentation, an integration into European statistics is not considered feasible.
This page offers information about all former statistics under development.
Digital platform employment (DPE)
- Period as experimental statistics: 2024-2026
- Digital platform employment (DPE) is a new type of paid work, organised in tasks or activities, which is managed through a digital platform. To measure this emerging phenomenon, DPE experimental statistics focus on its prevalence, its characteristics, and their impact on workers' lives.
The experimental DPE statistics were produced on the basis of the pilot data collection carried out in 2022 by 16 EU countries as well as 1 country of the European Free Trade Association (EFTA). The European Union Labour Force Survey (EU-LFS) questionnaire was complemented with an additional set of questions to detect paid work managed through an internet platform or a phone application. The pilot was carried out on a voluntary basis using a smaller scale sample than the usual EU-LFS sample. Respondents were randomly sampled from the resident population of each country. - Access to data and further information:
FIGARO tables
- Period as experimental statistics: 2017-2021
- The FIGARO tables provide experimental EU inter-country supply, use and input-output tables for the reference year 2010 in current prices. It is experimental because of the asymmetry in EU country's trade data, requiring us to estimate the import uses matrices for each EU member by country of origin. Other adjustments were needed along the compilation process to balance trade asymmetries and align the trade statistical concepts with those of national accounts.
- Access to data and further information: Figaro webpage
Geospatial data from agricultural census
- Period as experimental statistics: 2024-2026
- Geospatial data from the agricultural census provide information related to the geographical location of a farm, for example the location of the main buildings, where the main activities are carried out, or the nearest village. They also offer more detailed insights into the farm structure, for example on the number of holdings, cultivated area, animal stock or agricultural labour force.
Combining geographical information and tabular data on the structure of agricultural holdings helps to unveil developments of various aspects related to the structure of European farms, allows evaluating the impact of policy measures on farming at the local level, and improves the monitoring of the agricultural sector. - Access to data and further information: Geospatial data from agricultural census
International sourcing
- Period as experimental statistics: 2021-2026
- International sourcing statistics provide an insight into the cross-border movement of common business tasks by enterprises, a phenomenon which is also sometimes referred to as ‘outsourcing’. These common tasks are grouped together in functional groups called business functions. By collecting data about the movement of business functions, international sourcing statistics can help monitor organisational and spatial patterns in national, regional, and global value chains as well as the effects of these patterns on employment, wages, innovation, skills, firm survival, and turnover. In these voluntary surveys, the data and the questionnaire were experimental, as the survey questions had changed significantly throughout the survey iterations. Additionally, new and untested parts of the global value chains arrangements and COVID-19 impact on domestic and global supply chains were introduced in the last survey in 2021. The outcomes of this last voluntary survey fed into the creation of the first mandatory global value chains survey under the European business statistics regulation, carried out in 2024 for the reference period 2021-23, which included the international sourcing statistics.
- Access to data and further information:
Quarterly registrations of new business and declaration of bankruptcies
- Period as experimental statistics: 2020-2021
- Monitoring registrations of new businesses and declarations of bankruptcies on a quarterly basis is highly relevant as it provides more up to date and frequent information on the developments in the economic environment for businesses than the traditional annual business demography statistics.
- Access to data and further information:
Services trade by enterprise characteristics (STEC)
- Period as experimental statistics: 2018-2024
- The statistics on services trade by enterprise characteristics (STEC) provide detailed and timely information on the types of enterprises engaged in international services trade. STEC presents services trade statistics broken down by enterprise size class, enterprise ownership and type of economic activity, and allows the calculation of the exports intensity of enterprises engaged in services trade. Furthermore, STEC statistics show how enterprises in different industries supply services and how this relates to their primary activity.
- Access to data and further information: International trade in services website section
Services trade by mode of supply
- Period as experimental statistics: 2022-2026
- Statistics on the international supply of services (ISS) by modes of supply (MoS) record the value of services supplied between residents of the reporting economy and non-residents, showing how and through which mode of supply these services are delivered.
They cover exports and imports of detailed service categories by partner economy and four modes of supply: cross-border supply (mode 1), consumption abroad (mode 2), commercial presence (mode 3) and the presence of natural persons (mode 4). The product breakdown follows the Extended Balance of Payments Services Classification 2010 (EBOPS 2010).
Data collection generally follows Regulation (EU) 2019/2152 and the related implementing provisions. - Access to data and further information:
- Services trade statistics by modes of supply (see methodology section)
- Link to dataset
- International trade in services website section (see methodology section)
- Eurostat compilers guide on modes of supply
Short-stay accommodation occupancy statistics
- Period as experimental statistics: 2021-2026
- In March 2020, the Commission reached a landmark agreement with Airbnb, Booking, Expedia Group and Tripadvisor (until 2024) on data sharing. The agreement allows Eurostat to obtain and publish key data on short-term accommodation rentals from these collaborative platforms. National, regional and city level data on guest nights spent are available from reference year 2018 onwards. Capacity (e.g. number of listings) data will follow in a later phase of the project. The agreement grants access to reliable data about holiday and other short-stay accommodation offered via the four platforms. It helps to close an information gap, since data on holiday homes, apartments and rooms in otherwise private buildings are often outside the scope of existing tourism registers. An important disclaimer for the reader is that the data cannot be put in relation to already existing European statistics on tourist accommodation.
- Access to data and further information:
Food price monitoring tool
- Period as experimental statistics: 2017-2021
- Food prices are established through transactions between various actors in the food chain (e.g. farmers, food processors, wholesalers, retailers and final consumers). The food price monitoring tool brings together data on price developments in the different steps of the supply chain. Eurostat has estimated price transmission indicators: the proportion of the price change at one stage of the food supply chain that is estimated to be transmitted to the next.
- Access to data and further information: HICP information on data page, see section on ‘Food price monitoring tool’
Health social transfers in kind
- Period as experimental statistics: 2019-2022
- Social transfers in kind (STiK), which people receive from governments in form of free or subsidised health systems, cannot be collected through household surveys. This is because people are mostly unaware of the monetary value of health services. To account for this shortcoming, the project proposed a methodology for imputing health social transfers in kind from national accounts into microdata from the EU statistics on income and living conditions (EU-SILC). Health social transfers in kind were imputed using health profiles by age and gender from the European Commission's ageing report and were then reconciled with national accounts aggregates.
The aim was to obtain information on the distribution of health STiK and to study the impact of them on the income distribution and on other measures of inequality, such as the Gini index. - Access to data and further information:
Micro high-growth enterprises
- Period as experimental statistics: 2021-2026
- High-growth enterprise (HGE) statistics are part of the annual official business demography statistics. It counts the number of high-growth enterprises with at least 10 employees at the start of the growth period having annualised growth greater than 10% over a 3 year period, measured in employees.
Until recently, there were no comparable data for smaller businesses. To address this gap, a 2019-2020 development project involving 13 countries produced experimental statistics on micro high-growth enterprises (micro HGE), covering enterprises with 1 to 9 employees in the beginning of growth and provide insight into their main characteristics, like age, group status and legal form.
The project helped develop the methodology and first statistical results for micro HGE. This work laid the foundation for an ongoing voluntary data collection, with results now available in the Eurostat dataset. - Access to data and further information:
Skills
- Period as experimental statistics: 2016-2023
- Skills mismatch indicators measure the gap between demand and supply of skills as well as conditions of workers, jobs or vacancies. The following two skills mismatch indicators are provided: (1) over-qualification rate (vertical skills mismatch) and (2) job mismatch by field of education (horizontal skills mismatch). The indicators are derived by combining available figures using EU Labour Force Survey.
- Access to data and further information: Skills website section
World heritage sites
- Period as experimental statistics: 2017-2026
- The number of page views on Wikipedia articles associated to UNESCO World Heritage Sites is taken as a measure of popularity of the sites or as a measure of "cultural consumption" of world heritage.
- Access to data and further information: Publication chapter on world heritage sites