European Furniture Enterprise Structure Methodology
Furnilytics enterprise-structure harmonisation, derived company-size measures, SME shares, and latest-year estimates for European furniture manufacturing markets.
Dataset scope
The dataset covers furniture manufacturing markets across Europe, aligned to NACE C31 manufacture of furniture where available. It is designed for market reports, country benchmarking and structural analysis of the manufacturing base.
The dataset is sector-level. It does not identify individual companies, retailer market share, household demand, or final consumer spending.
estimate = true marks rows that are derived, carried forward, or nowcasted rather than direct structural observationsSource framework
Furnilytics prioritises official structural business statistics from European and national statistical systems. These sources are harmonised to a common furniture manufacturing scope, with country labels, annual periods, indicator names and size classes standardised for use in one comparable API table.
| Source table or dataset | Role in the method |
|---|---|
Eurostat sbs_na_ind_r2 |
Historical structural business statistics for NACE C31, including enterprises, employment, turnover, production value, value added, personnel costs and manufacturing-share indicators. |
Eurostat sbs_sc_ovw |
Recent structural business statistics and enterprise-size structure for NACE C31, used where the newer SBS source has replaced the older table. |
Furnilytics industry/market_size/eu_furniture_production_turnover_yearly |
Latest production-value anchor for years where full structural business statistics are not yet available. |
Eurostat lfsa_egan22d |
Labour Force Survey employment for NACE C31, used to update latest-year furniture employment where SBS employment lags. |
Eurostat lc_lci_r2_q |
Labour Cost Index for manufacturing wages and salaries, used to adjust personnel costs per employee in recent estimates. |
Eurostat lfsi_emp_a |
Total employment denominator used to calculate furniture manufacturing employment as a share of working people. |
Eurostat nama_10_gdp |
Current-price GDP denominator used to calculate furniture manufacturing gross value added as a share of GDP. |
Where reporting histories or national definitions differ, Furnilytics keeps the closest furniture manufacturing perimeter and treats the result as a comparable sector benchmark rather than a company census.
Furnilytics calculations
Furnilytics derives report-ready indicators from the structural source base. Average turnover per enterprise is calculated from sector turnover divided by the number of enterprises. Average production value per enterprise uses production value divided by enterprises. Average employment per enterprise uses employment divided by enterprises.
Personnel-cost indicators use structural business statistics where available. Sector-importance indicators compare furniture manufacturing employment with total employment and furniture manufacturing value added with GDP, using official Eurostat denominator series.
Size-class indicators follow the European employment-size structure: micro enterprises have fewer than 10 persons employed, small enterprises have 10 to 49, medium enterprises have 50 to 249, and large enterprises have 250 or more. SME shares combine micro, small and medium enterprises and exclude the large-enterprise group.
Latest-year estimates
Enterprise-structure data usually lags short-term production data. To keep recent market reports usable,
Furnilytics may add latest-year estimates. These rows are clearly marked with estimate = true
in the API table.
For latest-year estimates, Furnilytics may use its European furniture production-value nowcast as the production-side anchor. Enterprise counts and size-class shares may be carried forward from the latest observed structural year unless a report-reviewed country override is configured.
Latest-year employment estimates are calculated country by country. Furnilytics starts from the latest observed SBS employment level and applies the Eurostat Labour Force Survey NACE C31 movement from that structural year to the target year where the Labour Force Survey signal is available. For example, the Bulgarian 2025 furniture employment estimate is 19,106 persons employed after applying this method. Turnover and value added may be estimated from the latest observed relationship to production value.
Latest-year personnel costs use the latest observed personnel costs per employee, adjusted by Eurostat manufacturing wage-and-salary index movement where available, then multiplied by estimated employment. This keeps the personnel-cost level anchored to furniture manufacturing structural statistics while using a consistent official wage-growth signal for recent years.
How to interpret the data
Use the dataset to compare furniture manufacturing structure across countries and over time. It is useful for assessing whether a market is fragmented or consolidated, how much employment and output sits in SMEs, and whether average company scale is increasing or decreasing.
For a fuller market view, read enterprise-structure data alongside Furnilytics production, trade, apparent consumption and retail market-size indicators.
Revisions and limitations
Structural business statistics can be revised as late responses, classification changes and national updates are incorporated. Furnilytics refreshes the dataset when source data or production nowcasts change, so historical values may revise.
The dataset is strongest as a comparable sector-level benchmark. It should not be interpreted as a live register of active companies, a measure of retailer market share, or a direct estimate of household furniture demand.