Tunisia, Wood + Furniture Industry, Production, 1000 EUR, Value (Y)

Data Summary: Tunisia, Wood + Furniture Industry, Production, 1000 EUR, Trend + Forecast, Value (Y)

Time series data for Tunisia, Wood + Furniture Industry, Production, 1000 EUR, Trend + Forecast, Value (Y)
Time Period Value Data Range
2006 275.657,25 2002 - 2031
2007 265.998,79 2002 - 2031
2008 338.362,00 2002 - 2031
2009 326.607,47 2002 - 2031
2010 387.240,08 2002 - 2031
2011 409.558,72 2002 - 2031
2012 424.351,43 2002 - 2031
2013 447.008,72 2002 - 2031
2014 460.058,26 2002 - 2031
2015 559.547,05 2002 - 2031
2016 561.229,33 2002 - 2031
2017 531.522,47 2002 - 2031
2018 523.853,44 2002 - 2031
2019 518.093,85 2002 - 2031
2020 499.848,16 2002 - 2031
2021 581.670,04 2002 - 2031
2022 691.023,91 2002 - 2031
2023 668.768,63 2002 - 2031
2024 714.448,59 2002 - 2031
2025 726.930,96 2002 - 2031
2026 766.937,75 2002 - 2031

This dataset contains 21 data points spanning from 2006 to 2026.

Analysis dimensions: Region, Industry, Measure, Unit, Analysis.

Statistical summary: Minimum value 265,998.79, Maximum value 766,937.75, Average value 508,510.33.

The chart above illustrates a time series model generated by the Innomis Market Management Intelligence® platform.
It represents one of many analytic models and visualization options available in One Space®.

To discover how Innomis continuously delivers and transforms millions of data records into actionable intelligence — empowering faster understanding, better decisions, and stronger management actions — please contact us to schedule a personal demo.

Data Insights and Analysis

This comprehensive dataset spans 21 time periods from 2006 to 2026. The analysis reveals values ranging from 265,998.79 to 766,937.75, with an average value of 508,510.33.

The data shows an overall upward trend with a total change of 491,280.49 (178.2% increase) over the analyzed period.

Key analytical dimensions include: Tunisia, Wood + Furniture Industry, Production, 1000 EUR, Trend + Forecast, Value (Y). This multi-dimensional analysis provides comprehensive insights into the underlying data patterns and trends.