Lumber fell to 537 USD/1000 board feet on December 1, 2025, down 1.29% from the previous day. Over the past month, Lumber's price has fallen 1.47%, and is down 9.54% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lumber - values, historical data, forecasts and news - updated on December of 2025.

Lumber Prices - Historical chart and current data through 2025.

This table contains 30 series, with data for years 1961 - 2001 (not all combinations necessarily have data for all years), and was last released on 2001-10-29. This table contains data described by the following dimensions (Not all combinations are available): Geography (8 items: Atlantic Region; Ontario; Quebec; Prairie Region ...), Commodities (9 items: Lumber; softwood; Lumber; softwood; Douglas fir; Lumber; softwood; spruce-pine-fir; Lumber; softwood; hemlock ...).

This dataset contains the predicted prices of the asset Lumber over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This dataset contains the predicted prices of the asset High Quality Lumber over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This table contains 179 series, with data for years 1956 - 2010 (not all combinations necessarily have data for all years), and was last released on 2010-09-29. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Commodities (181 items: Lumber and other wood products; Lumber and timber; Lumber and ties; hardwood; Lumber and ties ...).

This dataset contains the predicted prices of the asset Wood over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This table contains 250 series, with data for years 1956 - 1997 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (10 items: Canada; Ontario; Quebec; Atlantic Region ...), Commodities (216 items: Lumber; sawmill and other wood products; Lumber and ties; hardwood; Lumber and ties; Lumber and timber ...).

Graph and download economic data for Index of Wholesale Prices of Lumber for United States (M0464BUSM349NNBR) from Jan 1947 to Feb 1954 about wholesale, wood, price index, indexes, price, and USA.

✍️ Personal Note: While I'm presenting this dataset for analysis and insights, I want to emphasize the importance of ethical sourcing and consumption, especially in commodities like cocoa and coffee which have known ethical concerns in their supply chains.

About This Dataset:

This dataset delivers an extensive and current assortment of futures related to soft commodities. Futures are financial contracts obligating the buyer to purchase, and the seller to sell, a specified amount of a particular commodity at a predetermined price on a set date in the future.

Use Cases: 1. Price Forecasting: Harness machine learning to predict the price dynamics of commodities like coffee and cocoa, aiding stakeholders in their decision-making. 2. Supply Chain Analysis: Evaluate the correlation between futures prices and global events, offering insights into potential supply chain disruptions. 3. Demand Projections: Utilize deep learning techniques to correlate historical consumption patterns with price movements, projecting future demand.

Dataset Image Source: Photo by Tom Fisk from Pexels: https://www.pexels.com/photo/aerial-shot-of-green-milling-tractor-1595108/

Column Descriptions: 1. Date: The date when the data was recorded. Format: YYYY-MM-DD. 2. Open: The opening market price for the day. 3. High: Maximum price achieved during the trading session. 4. Low: Lowest traded price during the session. 5. Close: Market's concluding price. 6. Volume: Count of contracts traded throughout the session. 7. Ticker: Distinct market quotation symbol for the commodity future. 8. Commodity: Indicates the type of soft commodity the futures contract pertains to (e.g., Cocoa, Coffee).

Remember to link to the correct image source for your dataset's image!

Kraft Pulp rose to 4,706 CNY/T on December 2, 2025, up 0.56% from the previous day. Over the past month, Kraft Pulp's price has fallen 3.37%, and is down 19.45% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Kraft Pulp.

175 views (3 recent) Economic data on forestry and logging, physical and monetary data on supply and use of wood, and employment data. Aggregates include output, intermediate consumption, gross value added, fixed capital consumption, gross fixed capital formation and different measures of income of forestry and logging. The data are in current basic prices and use the concepts and definitions of National Accounts. 3. EU Member States, EFTA countries, the UK and selected candidate countries. Data for France cover only mainland France without the overseas territories and dominions French Guyana, Guadeloupe, Martinique, Réunion or Mayotte. They are collected as part of European Forest Accounts (EFA), which also covers wooded land, timber, output of the forestry industry by type, and labour input in annual work units (AWU). Employment data from Eurostat's Labour Force Survey (LFS) are presented as well, covering estimates of the number of employees in forestry and logging, the manufacture of wood and products of wood and cork, the manufacture of paper and paper products, and the manufacture of furniture. There are two separate tables because of the change in the EU's classification of economic activities from NACE Rev. 1.1 to NACE Rev. 2 in 2008. Sources: questionnaire on European Forest Accounts (EFA) and LFS . The questionnaire and its explanatory notes can be found on our open-access communication platform under the interest group 'Forestry statistics and accounts'.

This dataset contains the predicted prices of the asset Dinari WOOD over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This dataset contains the predicted prices of the asset Wood Snake over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Economic data on forestry and logging, physical and monetary data on supply and use of wood, and employment data. 2. Aggregates include output, intermediate consumption, gross value added, fixed capital consumption, gross fixed capital formation and different measures of income of forestry and logging. The data are in current basic prices and use the concepts and definitions of National Accounts. 3. EU Member States, EFTA countries, the UK and selected candidate countries. Data for France cover only mainland France without the overseas territories and dominions French Guyana, Guadeloupe, Martinique, Réunion or Mayotte. They are collected as part of European Forest Accounts (EFA), which also covers wooded land, timber, output of the forestry industry by type, and labour input in annual work units (AWU). Employment data from Eurostat's Labour Force Survey (LFS) are presented as well, covering estimates of the number of employees in forestry and logging, the manufacture of wood and products of wood and cork, the manufacture of paper and paper products, and the manufacture of furniture. There are two separate tables because of the change in the EU's classification of economic activities from NACE Rev. 1.1 to NACE Rev. 2 in 2008. Sources: questionnaire on European Forest Accounts (EFA) and LFS . The questionnaire and its explanatory notes can be found on our open-access communication platform under the interest group 'Forestry statistics and accounts'.