Canada, Wood Processing Equipment, Export Market, 1000 EUR, Value (Y)
Value (Y) Time Available: 2002 - 2030
Data Summary: Canada, Wood Processing Equipment, Export Market, 1000 EUR, Trend + Forecast, Value (Y)
Time series data for Canada, Wood Processing Equipment, Export Market, 1000 EUR, Trend + Forecast, Value (Y)
Time Period
Value
Data Range
2015
287.336,95
2002 - 2030
2016
279.556,22
2002 - 2030
2017
319.804,05
2002 - 2030
2018
314.225,16
2002 - 2030
2019
340.648,44
2002 - 2030
2020
293.618,72
2002 - 2030
2021
362.507,00
2002 - 2030
2022
414.115,23
2002 - 2030
2023
422.410,03
2002 - 2030
2024
460.212,06
2002 - 2030
2025
346.703,06
2002 - 2030
This dataset contains 11 data points spanning from 2015 to 2025.
Analysis dimensions: Region, Product, Measure, Unit, Analysis.
Statistical summary: Minimum value 279,556.22, Maximum value 460,212.06, Average value 349,194.26.
The chart above illustrates a time series model generated by the Innomis Market Management Platform - one of many analytic models and visualization options available.
To discover how Innomis continuously delivers and transforms millions of data records into efficient information and actionable intelligence - using digital assistants and AI for informed decision-making in market management - please contact us to schedule a personal demo.
Metadata
Solution
Export Market Intelligence
Region
Canada
Product
Wood Processing Equipment
Measure
Export Market
Unit
1000 EUR
Analysis
Value (Y)
TIME (Displayed)
2015 - 2025
TIME (Available)
2002 - 2030
Data Insights and Analysis
This comprehensive dataset spans 11 time periods from 2015 to 2025. The analysis reveals values ranging from 279,556.22 to 460,212.06, with an average value of 349,194.26.
The data shows an overall upward trend with a total change of 59,366.11 (20.7% increase) over the analyzed period.
Key analytical dimensions include: Canada, Wood Processing Equipment, Export Market, 1000 EUR, Trend + Forecast, Value (Y). This multi-dimensional analysis provides comprehensive insights into the underlying data patterns and trends.
