Time Available: 2002 - 2031
Data Summary: China, Exports to, South Europe, Wood Processing Equipment, 1000 EUR, Trend + Forecast, Value (Y)
| Time Period | Value | Data Range |
|---|---|---|
| 2006 | 13.387,43 | 2002 - 2031 |
| 2007 | 24.825,05 | 2002 - 2031 |
| 2008 | 26.678,94 | 2002 - 2031 |
| 2009 | 16.031,25 | 2002 - 2031 |
| 2010 | 23.599,39 | 2002 - 2031 |
| 2011 | 24.660,63 | 2002 - 2031 |
| 2012 | 20.503,10 | 2002 - 2031 |
| 2013 | 21.651,12 | 2002 - 2031 |
| 2014 | 26.162,37 | 2002 - 2031 |
| 2015 | 36.693,11 | 2002 - 2031 |
| 2016 | 34.031,38 | 2002 - 2031 |
| 2017 | 38.703,26 | 2002 - 2031 |
| 2018 | 47.949,70 | 2002 - 2031 |
| 2019 | 43.813,54 | 2002 - 2031 |
| 2020 | 47.978,38 | 2002 - 2031 |
| 2021 | 74.197,08 | 2002 - 2031 |
| 2022 | 84.560,69 | 2002 - 2031 |
| 2023 | 64.463,75 | 2002 - 2031 |
| 2024 | 95.801,83 | 2002 - 2031 |
| 2025 | 106.728,10 | 2002 - 2031 |
| 2026 | 121.538,71 | 2002 - 2031 |
This dataset contains 21 data points spanning from 2006 to 2026.
Analysis dimensions: Selected Competitor, Trade Flow, Market, Product, Unit, Analysis.
Statistical summary: Minimum value 13,387.43, Maximum value 121,538.71, Average value 47,331.37.
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It represents one of many analytic models and visualization options available in One Space®.
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- Solution
- Global Export Sales Intelligence
- Selected Competitor
- China
- Trade Flow
- Exports to
- Market
- South Europe
- Product
- Wood Processing Equipment
- Unit
- 1000 EUR
- Analysis
- Value (Y)
- TIME (Displayed)
- 2006 - 2026
- TIME (Available)
- 2002 - 2031
Data Insights and Analysis
This comprehensive dataset spans 21 time periods from 2006 to 2026. The analysis reveals values ranging from 13,387.43 to 121,538.71, with an average value of 47,331.37.
The data shows an overall upward trend with a total change of 108,151.28 (807.9% increase) over the analyzed period.
Key analytical dimensions include: China, Exports to, South Europe, Wood Processing Equipment, 1000 EUR, Trend + Forecast, Value (Y). This multi-dimensional analysis provides comprehensive insights into the underlying data patterns and trends.