profile 2005: softwood sawmills in the united states and canada · 2018. 8. 17. · surement of...
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Abstract The softwood lumber industry in the United States and Canada consists of about 1,067 sawmills. In 2005 these sawmills had a combined capacity of 189 million m3 (80 × 109 bf). In 2004, they employed about 99,000 people and produced 172 million m3 (nominal) (73.0 × 109 bf) of lumber. In the process, they consumed about 280 million m3 (9.9 × 109 ft3) of timber. Employee productivity was near 2,125 m3 (900,000 bf) per worker per year for dimension and stud mills but about half that for board, timber, and specialty mills. Average saw log size varied from 42 cm (16.6 in.) in British Columbia to 16 cm (6.2 in.) in the bo-real region of eastern Canada. Average lumber recovery fac-tors varied from 267 bf/m3 (7.55 bf/ft3) for timber mills to 236 bf/m3 (6.6 bf/ft3) for specialty mills. The average for dimension mills was 266 bf/m3 (7.5 bf/ft3). Strong underly-ing demand for housing, supported by demographic growth among young adults and generational low interest rates, are strong positives for the industry’s prospects. Low interest rates, however, are threatened by rising inflation, the mea-surement of which depends on whether new home prices are included or not.
Keywords: softwood sawmill capacity, employment, aver-age log size, lumber recovery factor, market review
August 2005
Spelter, Henry; Alderman, Matthew. 2005. Profile 2005: Softwood sawmills in the United States and Canada. Research Paper FPL-RP-630. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory. 85 p.
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PrefaceThis report updates Profile 2003: Softwood Sawmills in the United States and Canada, published April 2003. Profile 2005 contains updated information on location, ownership, and approximate capacities of 1,067 softwood sawmills in the United States and Canada. Additionally, it presents data on employment, lumber recovery, and average log sizes in the industry, along with an assessment of near-term prospec-tive U.S. economic conditions.
The information in this study was originally compiled from a variety of published sources. These included directories of wood-using industries published by regional United States and Canadian forestry departments, commercial directo-ries such as the Big Book (Random Lengths Publications, Inc. 2005) and Madison’s Canadian Lumber Directory (Madison’s Canadian Lumber Reporter 2004), company press releases, Securities and Exchange Commission filings, and company web sites. In this 2005 update, we augmented these sources with extensive personal contacts and data gathered in conjunction with Timber Processing Magazine’s annual survey of the top 200 U.S. sawmills. We also relied on data from Statistics Canada, the U.S. Department of Commerce (Census Bureau), the U.S. Department of Labor, and the Western Wood Products Association (WWPA) for supplementary information.
The objective of the profiles is to present contemporary portraits of the softwood sawmilling industry. This sec-tor is highly diverse with a multitude of public and private ownerships. Information about its activities is scattered and often withheld because of privacy or legal concerns. Thus, we are especially grateful to those many individuals whose openness made this project possible. Nevertheless, in data-gathering efforts of this size, omissions or inaccura-cies are unavoidable, for which responsibility is ours. We ask readers to submit corrections by e-mail to Henry Spelter ([email protected]).
Further, in dealing with industry data on production and recoveries, we were presented with a variety of units reflect-ing the different measures used in sawmilling. To make data comparable, we converted them to common units. For lumber we took board foot volumes at face value and converted them to cubic meters based on 424 bf equaling 1 m3. This ignores differences between nominal and actual lumber sizes; thus, the metric volumes are also nominal, not actual. Lumber recovery data present a bigger problem because they are reported in various measures of volume and weight in which the size of the timber affects the result. Accordingly, in converting the disparate units to a common cubic platform, we had to account for the confounding ef-fect of timber size. Thus, unlike with lumber, specific rather than general conversion factors were used. This is laid out in detail in Appendix A—Conversion of Recoveries in Various Units to Cubic Meters.
Introduction As of July 2005, the mainstream of the softwood lumber industry in the United States and Canada consisted of about 1,067 sawmills. These sawmills had a combined capacity of 189 million m3 (80 × 109 bf), employed about 99,000 people, produced about 172 million m3 (73.0 × 109 bf) of lumber, and in the process, consumed about 280 million m3 (9.9 × 109 ft3) of wood. The capacities of these large, per-manent plants are laid out in Appendix C and summarized in Table 1. This enumeration excludes small or seasonal opera-tions, as their contributions to lumber production are mini-mal. In the following sections, we describe developments in the above aspects of the industry, present data on the size of the wood raw material and the efficiency of its use, and con-clude with an overview of general economic conditions in the United States, which in large measure shapes the pros-pects of the North American softwood lumber sector.
Capacity Appendix C lists sawmill locations and their capacities for 2000 to 2005. These data are summarized in Table 1. As described in the Preface, the information was obtained from a diverse set of sources. By necessity, data for 2005 and for the terminal years in previous reports were based on firms’ projections or extensions of previous data. These change as we obtain actual production figures and correct omissions, errors, or misclassifications. The possible extent of such re-visions can be judged comparing current capacity estimates with those published in earlier reports (Table 2).
The focus in this report is on capacity of primary mills. Remanufacturing plants have been excluded, and where we knew of sawmills finishing other plants’ rough green lumber, we reduced their capacities to avoid double count-ing. In a few cases we found it more convenient to represent an area’s capacity by the primary planing mill and instead excluded the smaller satellite mills supplying it. Because sawmills have no standard pattern of operation, we also defined capacity as the production limit based on a mill’s normal shift schedule rather than a fixed number of shifts. Most large mills run two shifts daily, but many run three and others only one. Shifts also range from the normal 8 hours a day to 9 or 10 hours and can vary as a result of market
conditions. Thus, the potential for physical output may be higher than the numbers we report.
As so defined, U.S. and Canadian sawmill industry capacity grew from 148.7 million m3 (63 × 109 bf) in 1995 to a projected 188.9 million m3 (80 × 109 bf) in 2005 (Table 3). Capacity goes where the resource is and grows fastest where wood is most abundant and available. Thus, British Columbia’s capacity rose the most, in particular during the past 2 years (Table 4) when large volumes of beetle-killed lodgepole pine became available. Once dead,
Profile 2005: Softwood Sawmills in the United States and CanadaHenry Spelter, EconomistMatthew Alderman, Economics AssistantForest Products Laboratory, Madison, Wisconsin
Table 1—Summary of capacity and production of U.S and Canadian softwood lumber sawmills, 1999 to 2005
YearMills (no.)
Capacity (×106 m3)
Production (×106 m3)
Capacity utilization
(%)
1999 1,253 167 159 952000 1,244 172 160 932001 1,209 172 154 892002 1,154 174 161 922003 1,134 179 164 912004 1,097 185 172 932005 1,067 189 — —
Table 2—Reported capacity estimatesCapacity estimates (×106 m3)
Year Profile 2001a Profile 2003b Profile 2005c
1995 149 149 1491996 152 152 1521997 157 157 1561998 162 162 1611999 167 169 1672000 168 173 1722001 166 173 1722002 — 174 1742003 — 174 1792004 — — 1852005 — — 189aSpelter and McKeever 2001. bSpelter and Alderman 2003. c2005 data are from this report.
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such trees have a limited shelf life for sawing into lumber and need to be processed within 5 to 10 years, depending on climatic conditions. Several companies expanded mills to allow greater use of this relatively short-term resource.
Western U.S. sawmill capacity also grew strongly within the past 3 years, recovering ground lost in the early 1990s when reduced government timber sales led many mills to close. Coastal Washington, in particular, had four big greenfield plants started with a fifth on the way. A major incentive for this was consistently lower timber prices for the same spe-cies and grades than in nearby Oregon. Growth in the U.S. South was more modest but steady.
Eastern Canadian capacity also showed steady growth through 2004 but recently plateaued. An official assessment
of Quebec forestry determined that forests there have been overcut. New policies will lead to a 20% cutback in harvest-ing over the next 2 years, thus dimming further growth pros-pects in eastern Canada.
Among the producing regions, only the U.S. North showed a loss, as the closure of several large mills in Maine was not offset by new construction. Log shortages, intensified by competition from mills in Canada, were reasons cited for limiting expansion.
Capacity data are most useful for assessing market condi-tions in connection with production figures. Production data in Canada are compiled by a government statistical agency (Statistics Canada 2004), whereas in the United States both the government (U.S. Census Bureau 2004) and the Western Wood Products Association (WWPA) (2004) gather such information. Table 5 compares these various production es-timates. For most of the years, data from the Census, which theoretically cover all U.S. producing sawmills, show higher volumes than the WWPA data. Over time, though, the dif-ferences have tended to decline, and in 2004 the Census estimate was lower.
To investigate these production differences, we combined them with our estimates of capacity to calculate capacity uti-lization rates (Figs. 1 to 3). For the South, both production data fit within our estimates of capacity (utilization rates below 1) and also showed similar movements in year-to-year changes, with the gap between them narrowing in re-cent years. Likewise, both estimates of western output were within capacity and showed relatively stable relationships to each other through 2002. However, the preliminary 2003 Census-based data fell abruptly. Because the Census often revises its estimates in the year following initial publication, this discrepancy may disappear in the final figures.
The largest systematic divergence occurred in the North, where WWPA estimates related to the Census and our
Table 3—North American softwood sawmill capacity estimates, 1995 to 2005
Capacity estimates (×106 m3)
Year United States Canada Total
1995 83 66 1491996 84 67 1521997 87 69 1561998 90 71 1611999 92 76 1672000 94 78 1722001 92 80 1722002 92 81 1742003 96 83 1792004 99 87 1852005 101 88 189Annual increase (%) 2.0 2.9 2.4
Table 4—Softwood sawmill capacity by region given in volume and indexed to 1999
Sawmill capacityRegion 1999 2000 2001 2002 2003 2004 2005
Volume (×106 m3)U.S. South 42.7 43.9 43.8 43.9 45.0 46.4 47.0U.S. North 5.2 5.2 4.7 4.9 4.6 4.5 4.6U.S. West 43.6 45.2 43.5 43.8 46.4 48.3 49.5BCa 35.9 36.6 36.8 37.7 39.2 42.1 43.5Other Canada 39.7 41.1 42.8 43.8 44.1 44.5 44.3Total 167.2 171.9 171.6 174.0 179.3 185.9 188.9
Indexed to 1999U.S. South 1.00 1.03 1.03 1.03 1.05 1.09 1.10U.S. North 1.00 1.00 0.89 0.93 0.89 0.87 0.88U.S. West 1.00 1.04 1.00 1.00 1.06 1.11 1.14BC 1.00 1.02 1.02 1.05 1.09 1.17 1.21Other Canada 1.00 1.03 1.08 1.10 1.11 1.12 1.11Total 1.00 1.03 1.03 1.04 1.07 1.11 1.13aBC, British Columbia.
Table 5—North American softwood sawmill production estimates by different sources
Production estimates (×106 m3) Difference between U.S. estimates (%)Year
Statistics Canada
U.S. WWPAa
U.S. Census Bureau
1995 66.1 75.0 78.0 4.01996 67.3 77.5 80.4 3.71997 69.0 81.8 83.7 2.31998 71.2 81.8 84.7 3.51999 75.6 86.4 89.8 3.92000 77.8 84.9 87.7 3.32001 79.6 81.6 83.7 2.62002 81.3 84.6 85.8 1.52003 83.1 86.4 84.8 –1.82004 85.7 90.5aWestern Wood Products Association.
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capacity estimates have risen over time. Approximately six large mills, mostly in Maine, produce most of the lumber in the North. The reported capacities and production volumes of these mills have not shown the kinds of increases implied by the WWPA estimates. Therefore, if more production is coming from the region, its source must be smaller opera-tions, some of whose capacities we do not account for. If that is the case, however, the Census, which canvasses all operating mills, should have registered these volumes. The differences between these data remain to be resolved.
The ratios between Statistics Canada productions and our capacities are shown in Figure 4. The production data fell below our capacity figures in each year except for 1999, when production exceeded our capacity east of the Rockies.
Employment and ProductivityIn the United States, the U.S. Bureau of Labor Statistics (2004) tracks combined employment in sawmills, planing mills (both soft- and hardwoods), and wood preservation plants. By contrast, the data in this report are limited to soft-wood mills only and as such complement the U.S. Bureau of Labor Statistics’ more general data.
By employment we mean only those who are directly in-volved in procuring, processing, administering, and selling wood at a site. Remote location staffs of large firms, loggers and haulers, and those employed by other non-lumber pro-ducing facilities within a complex fall outside of our defini-tion, and we have attempted to remove data associated with them where practical.
On that basis, we estimated employment in U.S. softwood sawmills in 2004 at 55,300 people compared to 66,200 in 1995. This 16% loss over the 9 years closely parallels the more general data available from the U.S. Bureau of Labor Statistics, which also shows a 16% decline, from 119,000 to 100,000 (Fig. 5).
Figure 1—Capacity utilization estimates using U.S. Census and Western Wood Products Association (WWPA) production figures for U.S. South.
Figure 2—Capacity utilization estimates using U.S. Census and Western Wood Products Association (WWPA) production figures for U.S. West.
Figure 3—Capacity utilization estimates using U.S. Census and Western Wood Products Association (WWPA) production figures for U.S. North.
Figure 4—Capacity utilization estimates using Statistics Canada production figures for east of Rockies (EOR) and British Columbia (BC).
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Our estimates of Canadian softwood sawmill employment were about 49,200 people in 1995 compared to 43,500 in 2004, for a decline of 12%. This compares with estimates for all sawmills from Statistics Canada of 54,900 in 1995 and 45,600 in 2003, a 17% decline (Fig. 6).
In terms of output per employee, our numbers indicate about a 45% improvement in the United States and 50% in Canada (Fig. 7). Canadian labor productivity has tended to be 5% to 15% higher than that of U.S. mills, and a closer look at 2004 productivities by type of mill indicates some reasons why (Table 6). Labor productivity (represented here against capacity) is least in value-added board, cedar, and specialty operations (Columns 1 and 5, Table 6), where greater prod-uct variety and thinner pieces require more labor per unit of output. Productivity in U.S. mills was lower in both catego-ries. On the other hand, productivity is greatest in dimen-sion mills, where production focuses on more standardized, high-volume commodities (Column 2, Table 6). Access to technology is unhindered and spreads freely across borders, resulting in no statistically significant differences between U.S. and Canadian mills. However, studs, even though they are similar high-volume commodities, showed higher pro-ductivity in the United States. The explanation lies partly in the raw material, which is smaller in boreal Canada where harsh growing conditions limit tree sizes. Smaller logs affect throughput per log and labor productivity. Also, many west-ern U.S. mills sell lumber green, requiring fewer personnel to handle drying. Finally, timber mills, which are more prev-alent in the United States, show about equal productivities.
Table 6—2004 North American softwood sawmill employment and productivity
1 2 3 4 5Board
& cedar Dimension Stud TimbersSpecialty &
unknown
U.S.Employees (no.)
8,300 33,000 6,300 2,560 5,100
Capacity (×106 bf/yr)
3,470 29,400 6,120 1,320 1,780
Capacity per employee (×106 bf/yr)
416 891 968 516 349
CanadaEmployees (no.)
4,100 26,100 8,400 530 4,330
Capacity (×106 bf/yr)
2,040 25,000 6,840 250 2,520
Capacity per employee (×106 bf/yr)
498 958 812 475 582
Figure 5—Employment by all U.S. sawmills (Bureau of Labor Statistics (BLS), left scale), and U.S. softwood sawmills (Forest Products Laboratory (FPL), right scale).
Figure 6—Employment by all Canadian sawmills (Statistics Canada, (SCan), left scale), and Canadian softwood sawmills (Forest Products Laboratory (FPL), right scale).
Figure 7—Output per employee per year in U.S. and Canadian softwood sawmills.
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Log Size and Lumber Recovery We explored two key operating characteristics of sawmill-ing: the log sizes being processed (small-end diameter) and lumber recoveries (board feet lumber per unit of log). We received information about average sawlog dimensions from 268 mills, accounting for 48.7 million m3 (20.6 × 109 bf, 28% of total production). Two hundred thirty five, repre-senting 50.5 million m3 (21.4 × 109 bf, 29% of production) shared data on recoveries.
Log Size One of sawmilling’s major transitions has been the shift from large old-growth to smaller second-growth timber. Ini-tially the resource consisted mainly of big virgin trees avail-able in abundance in many parts of the continent. As one region’s supply was exhausted, the industry migrated to an-other more remote region. By the 1950s, however, the easily accessible old-growth became scarce, forcing loggers to move to higher elevations and more remote locations to get suitable timber. Often these trees were smaller in proportion to the harshness of the environment where they grew. But what was “small” 40 years ago has a quaint ring today. The regearing of one mill to accommodate “smaller” logs with just an average of 300 bf per log was deemed newsworthy in 1960, even though such a log implies a small-end diameter of 40 to 48 cm (16 to 19 in.), depending on the version of Scribner scale used (The Lumberman 1960). Contemporary industry primarily harvests second-growth, smaller dimen-sion trees that grew back in formerly cutover places or small virgin timber where harsh environments stunt tree growth. Technology- and regulation-driven improvements in tree-stem use have also backed this trend; standard minimum top sizes were 20 cm (8 in.) in the 1970s and are now 11.5 cm (4.5 in.) or smaller.
To determine contemporary log sizes, we asked contacts to indicate the average small-end diameter of their logs. We
derived regional averages by weighting each mill’s average by its share of production. To display the results without re-vealing individual mill numbers, we aggregated the data into regions that would have a sufficiently large sample within ecologically homogeneous areas to enable aggregations of similar logs. The results are displayed in Table 7.
The biggest logs were found in coastal British Columbia, where larger, older growth trees are still available. We note, however, that the sample was small and that six of the seven were specialty mills. Forty percent of coastal British Colum-bia capacity consists of dimension mills whose wood supply consists of smaller logs. A more realistic estimate of the av-erage regional log size, therefore, is about 8 cm (3 in.) less than our sample average. United States coastal mills west of the Cascades, where old-growth timber is now scarce but growing conditions favor large trees, had the next biggest.
In the interior of British Columbia, the predominant re-source consists of lodgepole pine and white spruce. The for-mer is a bigger version of jack pine found farther east. The log sizes used in this region reflect these resources and are similar to the logs used in the U.S. West interior.
The greatest contrast in log size is found between maritime (25 cm, 9.9 in.) and boreal regions (15.9 cm, 6.2 in.). Prox-imity to the Atlantic Ocean moderates growing conditions in the maritime region so that tree growth, primarily of white pine and spruces, results in medium-size logs. Along simi-lar latitudes, but farther inland, the climate becomes more continental and tree-growing conditions less favorable. Con-sequently, the white/black spruce–jack pine–balsam fir trees that predominate in the boreal forest grow more slowly and produce smaller girths.
Historically, much of the boreal resource was most suited for pulp until advances in small-log sawmilling technology in the 1990s enabled their greater use for lumber as well. Chief among these were scanning systems capable of tak-ing readings along the surface of a log to accurately map its shape; computers that determine in real time the optimal cuts; and positioning systems that enable the saws to carry out the prescribed cuts. All this has to occur at sufficiently high speeds (25 or more stud logs or 12 or so dimension logs per minute) to maintain production rates competi-tive with mills sawing larger timber. Also significant to the economics of small-log milling was finding value for trim ends and short pieces in finger-jointed studs and as webs in trusses, along with the use of smaller dimensions (2 by 3’s) in trusses and non-load-bearing partitions.
In the U.S. South, where the timber economy has shifted to second-growth or plantation wood, average log sizes are lower still at around 22.5 cm (8.9 in.). In the U.S. Midwest, the forests consist primarily of hardwoods. The 25% or so that are softwoods consist mainly of medium-size white and red pine and smaller spruce–pine–fir found in the boreal region to the north. A few larger mills have been built to use
Table 7—2004 North American average sawlog diameters by region, measured at small end in centimeters and inches
Region Centimeters Inches Number of mills
BCa Coast 42.1 16.6 7Pacific Northwest 30.7 12.1 35Interior BC 24.1 9.5 24Interior West 24.1 9.5 23Maritimeb 25.1 9.9 33U.S. Midwest 21.3 8.4 9U.S. South 22.5 8.9 74Borealc 15.9 6.2 63aBC, British Columbia.bIncludes Canadian Provinces and parts of Quebec east of St. Lawrence River and states north of Massachusetts.cIncludes Canadian Provinces east of British Columbia to the St. Lawrence River.
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the latter, small-diameter material for commodity lumber production. A greater number of smaller mills specialize in white pine, sometimes in combination with hardwoods. The somewhat small size of the “average” log shown in Table 7 reflects the influence of the handful of large com-modity mills.
Sawlog size also tends to vary with the product (Table 8). Mills specializing in studs use the smallest sizes whereas specialty, timber, and board mills use largest. Log sizes in dimension mills fall in between.
Lumber Recovery Wood is the costliest component in sawmilling, so its use is a key variable. The amount of lumber recovered per log is affected by several steps in the sawing process.
The first is bucking of trees into logs. Pieces with inad-equate trim or broken ends result in more trim waste. Large end checks also lead to shorter usable lumber.
At the saw, the set target size has to take into account drying shrinkage, planer allowance, and thickness variation caused by movement either of the saw or of the log itself because of the holding mechanism’s inability to withstand the sawing stresses. The more variation present, the greater the target size has to be, reducing recovery. Measures that can lessen variation, and thus possibly increase recovery, include
thicker sawblades that sway less but generate more sawdust, or slower feed speeds that decrease stress but at the cost of reduced throughput.
Product mix also affects recoveries because smaller pieces require more sawlines. But nominal lumber sizes can also falsify recovery signals because thin pieces can be credited with more volume than they actually contain. Fence posts that are 14 mm (9/16 in.) thick but are counted as 25-mm (1-in.) boards, for example, can result in seemingly spec-tacular recovery numbers even while the saw performance may be poor.
In drying, a combination of variable wood properties (mois-ture content, compression wood around knots, and juvenile wood) and uneven conditions within a kiln takes a toll. Pieces that warp or check excessively may have to be cut short or discarded.
Recovery is further affected by edging and trimming of flitches, pieces that have wane on one or both edges. Edging and trimming decisions involve tradeoffs between getting the longest possible length or the greatest possible width, or cutting a long, tapered flitch into several pieces to mini-mize edging loss. The importance of edging is amplified as log size falls because more of the pieces have outside edges compared with large logs where the preponderance of boards comes from within the core with no wane. Wane allowances on manufactured lumber dramatically increase yields in small logs compared with sawing full-size pieces only. The complexity of the decisions is compounded by grade considerations that can yield more value even while sacrificing some volume. Optimizing edger systems that scan pieces and calculate the best solutions in real time have been widely deployed to deal with these complexities.
Losses in the different stages of lumber production can be summarized as follows, where LRF stands for lumber recov-ery factor:
LRF = (LT × SS × DD × ET × PS) × 424/VA (bf/m3), orLRF = (LT × SS × DD × ET × PS) × 12/VA (bf/ft3)
LT = (1 – fractional volume loss of log trim)SS = (1 – fractional volume loss of slabs and sawdust)DD = (1 – fractional volume loss due to drying)ET = (1 – fractional volume loss in edgings and trimmings)PS = (1 – fractional volume loss in planer shavings)VA = real to nominal lumber volume adjustment
A stud mill exclusively sawing 2.4-m (8-ft) 2 by 4’s from small “micro-sawtimber” logs would have a nominal volume adjustment factor of 0.656; for example, (1.5 × 3.5)/(2 × 4). With values for LT through PS as shown in Table 9, it would reap a lumber recovery factor (LRF) of 264 bf/m3 (7.5 bf/ft3). By contrast, a dimension mill sawing a more diverse mix of products, from larger sawlogs, with a nominal adjustment factor of 0.70, and parameters as shown in Column 2 (Dimension mill), Table 9, would obtain a
Table 8—2004 North American average sawlog diameters by product, measured at small end in centimeters and inches Mill type Centimeters Inches Number of millsSpecialty 37.2 14.6 28Timbers 32.6 12.8 23Boards 28.6 11.3 45Dimension 23.9 9.4 118Studs 17.7 7.0 54
Table 9—Example sawmill recovery ratios at various phases of sawmilling and resulting log recovery factors
Loss categorya Stud mill Dimension mill
Recovery ratioLT 0.97 0.97SS 0.70 0.75DD 0.99 0.99ET 0.70 0.80PS 0.87 0.87
Lumber recovery factor264 bf/m3 304 bf/m3
7.5 bf/ft3 8.6 bf/ft3aLT, log trim; SS, slabs and sawdust; DD, due to drying; ET, edgings and trimmings; PS, planer shavings.
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higher LRF of 304 bf/m3 (8.6 bf/ft3). Values of variables LT through PS are outside the scope of this report. Instead we focus on their collective effects expressed though a process-wide LRF.
Measurement units of recovery vary, usually depending on how the timber is purchased. For the sake of clarity, the above-referenced LRF is preferred because the influence of log size on recovery is lower. Lumber recovery per cubic volume has become the standard measure of recovery in Canada. In the United States, however, where logs change
hands on the basis of weight, cords, and a variety of log scales, there is no common standard. To create uniform, comparable data, we converted such recoveries from the various units to LRFs using the available information on average log sizes and the type of log scale involved. The details of these conversions are supplied in Appendix A. See Fonseca (2005) for a basic reference source on timber mea-surement conventions and conversions. For the benefit of mills that do not use LRFs, however, we show the data both in original units as reported and the larger standardized set (Tables 10a and 10b).
Overruns, International ¼-inch log scaleOverrun is a term for the amount by which actual recovery exceeds the log scale estimate. In the U.S. Northeast, Virgin-ia, Maine, and parts of Michigan, mills scale softwood logs by the International ¼-inch log rule. Recoveries in this form were given by 13 mills. Among the board foot scales, this rule, by taking log taper partially into account, is the most accurate. Consequently, the average volume-weighted over-run was a relatively small 1.23 (23% more than predicted by the scale, Table 10a).
Figure 8 illustrates the reported values relative to average log diameters (Note: two mills reported identical overruns and diameters, hence there are only 12 points on the chart.). Even this rule, however, tends to understate potential re-coveries at the small end of the size range. When the data were converted to LRFs, the mill that achieved the high-est overrun with 16.5-cm (6.5-in.) logs dropped below the sample average (Fig. 9). This indicates that, as a measure of recovery efficiency, overruns can mislead at the small end of sawable log sizes.
Overruns, short-log Scribner scaleMany mills in the U.S. West east of the Cascades, and some in the South and Midwest, measure recovery by the short-log version (6.1 m (20 ft) or less) of the Scribner scale. We had 13 such results. The cohort weighted average was 1.51 (51% over scale, Table 10a). This scale’s lower accuracy relative to the International ¼-inch scale is reflected in consistently higher overruns along the diameter spectrum. As before, converting these data into LRFs diminished the yield-boosting effect of declining log size.
Overruns, long-log Scribner scaleThe long-log version (up to 12.2 m (40 ft)) of the Scribner rule is used in the U.S. coastal Pacific Northwest. The pre-dictive accuracy of the rule is among the lowest, principally because of the longer allowed lengths, which increase the volume in the tapered portion of the log outside of the scaling cylinder, defined by the small-end diameter. Conse-quently, for the 22 mills the average overrun was 2.13, more than double the scaled volume. As with all board foot scales, overruns generally increase with declining log diameters.
Table 10a—Average 2004 overrun, ±1 standard deviation
Overrun(bf lumber/log unit)
Scale Averagea + std – std Mills (no.)Int. ¼ inch 1.23 1.37 1.08 13Scribner small 1.51 1.74 1.28 13Scribner large 2.13 2.51 1.76 22WeightBf/ton (S. Pine) 221 252 189 22CordBf/cord 494 na na 5aVolume weighted.
Table 10b—Average 2004 North American lumber recovery factors, ±1 standard deviation
Lumber recovery factora (bf lumber/log unit)
Averagea + std – std Mills (no.)
Mill typeTimber 267 310 224 15Dimension 266 305 227 120Board 254 286 221 25Stud 249 285 213 54Specialty 236 267 205 21
RegionU.S. West 301 347 255 21BCb Interior 275 296 254 38U.S. South 273 311 235 44Interior West 269 302 236 13U.S. Midwest 256 305 206 7Maritimec 252 282 223 26British Columbia Coast 242 269 215 17Boreald 229 260 198 69aBoard feet per cubic meter. To calculate per cubic feet, multiply by 0.0283.bBC, British Columbia.cIncludes Canadian provinces and parts of Quebec east of St. Lawrence River, and states north of Massachusetts.dIncludes Canadian Provinces east of British Columbia to the St. Lawrence River.
Profile 2005: Softwood Sawmills in the United States and Canada
8
Recovery in weightWeight scaling is widespread in the U.S. South and other places where small size and relatively uniform quality make individual log scaling uneconomic. Weight incorporates all parts of a log and is a proxy for cubic volume. Log weights can deviate from cubic because of variations in moisture content and specific gravity, but within the same species the deviations are relatively small and tend to even out in large log populations.
Twenty-four weight recovery factors were provided, of which 22 were from the U.S. South. Among the recover-ies from the U.S. South, the effect of diameter was muted and the opposite of that for overruns. That is, recoveries decreased with decreasing log size, which reflects the higher share of edging and slab volumes in small logs. The average lumber recovery was 221 bf/ton, or 4.5 tons per mbf (thou-sand board feet).
Recovery in cords In some instances, log input is measured in cords. The cord is a quasi-cubic volume measure, but the amount of wood contained in a cord declines with log size and, therefore, recoveries also decline at smaller diameters. For the five observations reported in cords, the recovery of lumber aver-aged 494 bf/cord, but the data were too few to determine a trend.
Recovery in cubic volume: lumber recovery factorThis then brings us to our preferred measure of recovery, the LRFs, of which 113 gave both diameter and recovery. Combined with the 77 transformed recoveries originally measured in other units as described above, the total sample with both diameter and LRF was 190. The scatter of these LRFs against diameter is shown in Figure 10. Their weight-ed average was 263 bf/m3 (7.4 bf/ft3). The weighted average across the total sample (including the 44 where there was a recovery but not a diameter) was slightly lower at 261 bf/m3 (7.4 bf/ft3).
The weighted average U.S. LRF is of additional interest. Concern about the adequacy of timber supplies in the 1970s led to inquiries about ways that the amount of lumber re-coverable from the same input of logs could be increased (President’s Advisory Panel on Timber and the Environment 1973). At the time, the estimate of national LRF was pegged at 6.5 bf/ft3. Employing the best practices, it was projected that LRFs could be increased in the range from 300 to 320 bf/m3 (8.5 bf/ft3 to 9.1 bf/ft3) for logs between 21 and 33 cm (8 and 13 in.) in diameter. Our sample showed an average U.S. LRF of 279 bf/m3 (7.9 bf/ft3). This indicates the industry is very close to the level thought realistically achievable for recovery (the smaller size of contemporary logs that constitute the input of most sawmills could account for much of the shortfall).Figure 10—Lumber recovery factor (LRF) compared to
diameter, 187 measurements.
Research Paper FPL-RP-630
Figure 8—Overrun (International ¼ inch log scale) compared to diameter, 13 measurements.
Figure 9—Lumber recovery factor (LRF) compared to diameter measurements for mills reporting overrun in International ¼-inch log scale.
9
There was considerable variability between mills. As Figure 10 suggests, some of this can be ascribed to log size. As with weight, recoveries tend to fall with decreasing log di-ameter. This again reflects the increasing share of slabs and edgings when standard-size prismatic boards are extracted from basically round logs.
Differences also were also seen by product type (Table 10b). Timber mills had the highest average LRF, partly reflecting the larger log sizes used by those mills and partly the fewer sawlines, and thus sawdust, required to generate such lum-ber. Dimension mills showed the next highest level followed by board mills. Lumber recovery in stud mills was the sec-ond lowest, reflecting the generally smaller logs used in stud production. Specialty mills obtained the lowest recovery, though in each case the distribution of LRFs was wide, as summarized in Figure 11.
Western U.S. mills displayed the highest LRFs, whereas mills in the boreal region of Canada showed the lowest, which reflects in part the size of the log supply by region. An exception to the general effect of log diameters is the low LRF found in coastal British Columbia. This region has access to large logs but has a reputation for older, technolog-ically dated mills. Outmoded technology could be one cause of lower yields. The stricter quality (“no wane”) standards of Japanese grading rules, where much of the region’s sup-ply is exported, could be another.
The yield-enhancing effects of precision scanning and cut-ting technology conflict with the yield-reducing effects of smaller logs. Trade literature is amply supplied with anec-dotal reports of one-time 10%, 15%, 20%, or more gains in yields following newly installed optimizing hardware but little information about lower yields stemming from the use of smaller logs. One 15-year record on yields in sawmilling is data from the Canadian Province of Quebec, summarized in Figure 12 (personal communication, André D’Arcy, Quebec Ministry of Natural Resources, 2005). These data have little likely confounding effect from log sizes and showed 18% gains in yield achieved by all mills over 15 years, with integrated mills gaining 23% whereas non- integrated mills showed 14% gains. The average for all mills in 2004 was 235 bf/m3, close to 229 bf/m3 found in our data for mills in the boreal region.
Figure 13 summarizes the empirical relationships between diameter and the various log scales, derived by fitting curves to each data set. The three board-foot log scales increase exponentially as log size declines, whereas the weight and cubic measures of recovery show opposite but more muted tendencies. These curves can be used to standardize specific mill data obtained from particular batches of logs. If mill yields are higher than the relevant point on the curve for that diameter, it indicates yield performance above the norms found in this study, while below the line indicates the oppo-site. These empirical formulas are summarized in Appendix B (Table B-1).
Figure 11—Lumber recovery factors (LRF) by product, ±1 standard deviation, for 230 mills.
Figure 12—Lumber recovery factors in Quebec, Canada, 1990 to 2004 for integrated and non-integrated mills compared with the Forest Products Laboratory (FPL) 2004 estimate for boreal region.
Figure 13—Lumber yields relative to average log diameters for five modes of log measurement: International ¼ inch, Scribner small-log version, Scribner large-log version, weight (board feet (bf)/0.01 ton) and cubic volume (bf/0.01 m3).
Profile 2005: Softwood Sawmills in the United States and Canada
10
Over and above log size differences, other variables influ-ence recovery and a further refinement of the LRF–diameter relationship is to take those into account. As noted above, LRF varies with product type. Further, log measurement protocols affect apparent LRFs through different allowances for trim, defects, and diameter measurements. For example, in most Canadian Provinces, volume allowances for trim are not made, nor are deductions for some defects, which are instead accounted for in the grading rules. These differences can increase log input volumes, thus reducing LRFs. Mul-tiple regression isolates the effects of these variables and more accurately partitions the population. Table 11 summa-rizes the effects of each of these variables on LRFs. These formulas are also contained in Appendix B.
Economic Conditions and Outlook in United StatesLong-range economic events can be stripped down into three basic components: trend, cyclical, and random. The first two are subject to analysis and reasonably accurate prediction. The unfortunate tendency of the latter random element to intrude and often overwhelm the first two makes economic prognostication somewhat speculative.
A fortuitous alignment of beneficial tendencies in U.S. trend and cyclical components has led to exceptionally favorable economic circumstances for the lumber industry. Housing has performed particularly well, with construction rising since the early 1990s, fueled by underlying demographics. Around the mid-1970s, births in the United States began to rise again as the maturing post-war “baby boom” generation arrived at its family-rearing stage. These demographics are now swelling the ranks of those entering adulthood and the mainstream of economic activity where the first requirement of an independent life is shelter (Fig. 14). Surging immigra-tion reinforced this trend.
These two demographic factors alone would have assured strong housing demand. But adding cyclical fuel was the extraordinarily low interest rates that have prevailed since 2001. Low interest rates followed the stock market collapse of 2000, the severity of which compelled the central bank (Federal Reserve) to reduce rates to generational lows in order to cushion the economy from the shock of the collapse in equities. The central bank has been able to maintain this policy thanks to worldwide trade liberalization that
facilitated the emergence of China and other low-cost countries into the world trading arena. The new supply of low-cost goods undermined the power of domestic produc-ers and unions to command higher prices and wages, thus moderating the potentially inflationary impact of extremely cheap credit.
Housing, however, was another story. Young people, im-migrants, and other low-income householders, who might otherwise have begun their consumption of shelter with apartments or mobile homes, were able to enter into single-family home ownership sooner. Home prices consequently inflated at rates double or more than the general rate of infla-tion, creating a windfall for home owners and generating a self-reinforcing cycle of demand for this appreciating asset class manifested in rising purchases of second homes and homes for investment.
Consumers also used rising real estate values by borrowing against inflating home values to offset lagging wage income. The indebtedness of consumers relative to the underly-ing productivity of the economy has thus been increasing. Whereas some see that indebtedness as an increasing risk to the economy, others note that the rising indebtedness has occurred against a backdrop of rising asset values, thus keeping ratio of the overall debt to equity in balance. If real estate values, however, have become unsustainably high and were to revert to mean, then that could leave highly lever-aged borrowers vulnerable.
In grappling with these issues, many economists have noted similarities between the current economic environment and that of the early 1970s. Included in this are large excesses of government expenditures over income, low interest rates, large balance of trade deficits, high energy prices, and war expenditures. Until recently the use of the 1970s as an
Table 11—Effect of product type and region on lumber recovery factors (LRF) relative to U.S. board/specialty/timber mills
Change in LRF (%)Product type U.S. CanadaBoard/specialty/timber 0 –8.0Stud 15.0 –8.0Dimension 16.0 –8.0
Figure 14 –United States native-born 20-year-olds and new housing starts, 1961 to 2004.
Research Paper FPL-RP-630
11
indicator of present trends has worked well. Several ma-jor divergences, however, have become evident in recent months. One is inflation, which, as officially measured by the consumer price index, has risen less sharply (Fig. 15). A second is the performance of the dollar, which in the previ-ous period traded sharply lower, but thus far has performed better (Fig. 16). A third is interest rates, which have contin-ued at low real levels despite ten increases (Fig. 17).
Regarding inflation, we note that the definition of the con-temporary consumer price index differs from its 1970s predecessor. Chief among the differences is the replacement of home prices by “owners’ equivalent rent of primary resi-dence.” Until recently this has not mattered much because the changes in the two prices did not differ significantly. In 2004, however, they have diverged sharply, as shown by recalculating the consumer price index using home prices instead of the present day alternative. With that change, the 2004 inflation is almost twice the official rate (Fig. 18).
Although not commented on much, the boom-like condi-tions in real estate have played a role in the Federal Re-serve’s ten successive quarter-point increases in its Federal Funds rate. Somewhat to the puzzlement of the Federal Reserve, however, their increases in short-term rates have not carried over into long-term rates, which are more deter-minative of mortgage markets and thus of housing. Some view this as indicative of tame long-term inflation expecta-tions and thus a sign that the current up cycle has much life left in it. Others, however, point to the growing quantity of paper IOUs accumulating in Asian central banks as a result of Asian trade surpluses as the reason for the low long-term rates, casting the state of long-term credit in less favorable light.
Nevertheless, the above-mentioned divergences in key financial indicators imply that the downward stage of the 1970s cycle that would be due around late 2005 or 2006
Figure 15—Consumer price inflation, year-over-year, 1970 to 1973 compared with 2002 to 2005.
Figure 16—Yen per dollar index (first period = 0), 1971 to 1973 compared with 2003 to 2005.
Figure 17—Rate on Federal Funds, less inflation, 1970 to 1973 compared with 2002 to 2005.
Figure 18—Consumer price index (CPI) with median new home prices compared with owners’ equivalent rent, 1996 to 2004.
Profile 2005: Softwood Sawmills in the United States and Canada
12
will be, at the least, postponed. This means that the hous-ing cycle is unlikely to wilt as it did in the mid-1970s, but also that the speculative excesses, and the ensuing danger from them, will continue to build. In a recent paper on hous-ing market conditions, economists at the Federal Deposit Insurance Corporation (FDIC) have examined home market conditions in major U.S. metropolitan markets and found an unprecedented number in which conditions fit their defini-tion of a “boom” (Angell and Williams 2005). The FDIC economists pointed to indicators of speculation in an expan-sion of subprime lending, high loan-to-value mortgages, growing use of home equity lines of credit, expanding use of adjustable rate mortgages, growing purchases of home as investments, and a widening home price–consumer income gap. They noted that past booms tended to end in periods of price stagnation rather than collapse, and when the latter did occur, it was relatively rare and precipitated mostly by local-ized economic distress. In 2004, the broadening of the U.S. housing boom to more areas may imply a growing role for national factors, chiefly mortgage credit conditions. If those credit conditions should then stiffen, the likelihood of a less benign correction increases.
In summarizing these discussions, we note primarily that the demographics of housing demand are good and point to many years of above-normal activity. Shorter term cycli-cal influences, however, may rest on less secure footing and, if they turn, could temporarily dampen the upward effects of demographics. Monetary authorities seem to be aware of the risks that out-of-control asset markets pose and have been attempting to slow them through a campaign of gradual interest rate hikes. But their approach of doing so in pre-telegraphed small steps may have worked against their intentions, as long-term rates have not increased. A likely course is the continuation of the present approach of quarter-point increases until a supposedly neutral rate at or around 4% is reached. At that point, if some of the interest-sensitive sectors of the economy, such as small businesses and consumers (whose borrowing costs are tied to the short-term prime rate) begin to show some weakness, the credit tightening would likely be relaxed. Under that scenario, a downturn in housing would be delayed, and if one does oc-cur, is apt to be less severe than the 1973–1975 down cycle. But, until some parts of the economy begin to show signs of less robust growth or weakening, the current spate of credit tightening is likely to continue.
We can point with greater confidence to the likely evolution of lumber supply. The ability of the lumber industry to boost capacity and production is historically well demonstrated. The most recent manifestation of that occurred in the first half of 2005 when, despite continued good field activity and sales, a buildup of production overwhelmed even that strong level of demand, sending prices for most western species to a 20% or more correction. Despite the increased consoli-dation in fewer, larger firms, the ability of the industry to
restrain its production appears limited until prices below breakeven levels force it to do so. Looking ahead, the avail-ability of large volumes of beetle-killed timber in British Columbia, the resurgent second-growth on private lands in the U.S. Pacific Northwest, and the rising productivity of southern plantation timberlands imply few resource barriers to increasing capacity. Thus, oversupply rather than under-demand appears to pose the greater threat to lumber market stability and profits in the next few years.
ReferencesAngell, Cynthia; Williams, Norman. 2005. U.S. home prices: Does bust always follow boom? http://www.fdic.gov/bank/analytical/fyi/2005/050205fyi.html, Accessed July 25, 2005.
Cahill, J. 1984. Log scale conversion factors. In: Snellgrove, T., and others, eds. User’s guide for cubic measurement. Published cooperatively by USDA Forest Service and Uni-versity of Washington, College of Forest resources, Seattle, WA: 58–65.
Fonseca, Matthew M. 2005. The measurement of round-wood: methodologies and conversion ratios. Wallingford, UK: CABI Publishing.
Lumberman. 1960. Large west coast production mill rege-ared to handle changed timber conditions. San Francisco: Miller Freeman Publications. Vol. 84(12): 40–45.
Madison’s Canadian Lumber Reporter. 2004. Madison’s Canadian lumber directory–45th ed. Vancouver, British Columbia, Canada: Madison’s Canadian Lumber Reporter.
Miller Freeman. 1999. Directory of the wood products in-dustry. San Francisco, CA: Miller Freeman Publications, Inc.
President’s Advisory Panel on Timber and the Environ-ment. 1973. Final report of the President’s advisory panel on timber and the environment. Superintendent of Docu-ments, Washington, D.C.: U.S. Government Printing Office: 346–368.
Random Lengths Publications, Inc. 2005. The big book. Eugene, OR: Random Lengths Publications, Inc.
Spelter, Henry; Alderman, Matthew. 2003. Profile 2003: Softwood sawmills in the United States and Canada. Res. Pap. FPL–RP–608. Madison, WI: U.S. Department of Agri-culture, Forest Service, Forest Products Laboratory. 79 p.
Spelter, Henry; McKeever, Tim. 2001. Profile 2001: Soft-wood sawmills in the United States and Canada. Res. Pap. FPL–RP–594. Madison, WI: U.S. Department of Agricul-ture, Forest Service, Forest Products Laboratory. 73 p.
Research Paper FPL-RP-630
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Statistics Canada. 2004. Production, shipments and stocks on hand of sawmills east of the Rockies. Catalogue No. 35-002. Ottawa, Canada.
Statistics Canada. 2004. Production, shipments and stocks on hand of sawmills in British Columbia. Catalogue No. 35-003. Ottawa, Canada.
U.S. Bureau of Labor Statistics. 2004. http://www.bls.gov/ces/home.htm#data
U.S. Census Bureau. 2004. Lumber production and mill stocks: 2003. CIR series MA321T(03)-1. Washington DC.
Western Wood Products Association. 2004. 2003 Statistical yearbook of the western lumber industry. Portland, OR.
Appendix A—Conversion of Recoveries in Various Units to Cubic MetersLumber recovery is measured in several ways. Each can serve its purpose as a standard of reference for a particular mill, but their variety complicates comparisons between mills. To provide an industry-wide standard, we converted each recovery based on a particular unit of measure to a cubic meter (foot) basis as follows:
International ¼ inchThe average volume of a log in terms of the International board foot rule is estimated from the formula definition for the International ¼-inch scale, using the average small-end log size (D) and assuming a (net) 16-ft- (4.8-m-) long log. The cubic volume is derived from the Smalian formula, again based on the small-end log diameter, a taper of 2 in. (51 mm), and the 16-ft (4.8-m) length.
International ¼-inch bf (16-ft logs) = {0.22 × [D2 + (D + 0.5)2 + (D + 1)2 + (D + 1.5)2] – 0.71 × [D + (D + 0.5) + (D + 1) + (D + 1.5)]} × 0.905
ft3 volume inside bark = 0.005454 × [D2 + (D + 2)2]/2 × 16
Overrun × Int ¼ bf/ft3 = bf, LT/ft3 = LRF
Scribner Decimal C scale, short-log versionThe Scribner board foot volume is estimated from an empir-ical conversion formula estimated by Cahill for populations of logs scaled according to protocols in the areas east of the Cascades for 20-ft (2.4-m) and shorter logs.
bf LS/ft3 LS = 5.336 + 0.085 × D – 13.93/D
Overrun × (5.336 + 0.085 × D – 13.93/D) = bf, LT/ft3 = LRF
Scribner Decimal C scale, long-log versionThe Scribner board foot volume is also estimated from an empirical conversion formula by Cahill for populations of
logs scaled according to protocols in the areas west of the Cascades for 40-ft (16.2-m) or shorter logs.
bf LS/ft3 LS = 10.16 – 0.04 × D – 88.18/D + 290.58/D2
Overrun × (10.16 – 0.04 × D – 88.18/D + 290.58/D2) = bf, LT/ft3 = LRF
WeightRecoveries expressed in board feet per ton were converted to cubic by multiplying the board feet per ton yield factor by 71 lb/ft3 for southern pine and 64 lb/ft3 for red pine.
CordsRecoveries expressed in board feet per cord were converted to board feet per cubic foot by dividing the per cord yield factor by 73 ft3/cord.
Appendix B—Benchmarking Formulas Equations relating recoveries by various measures to log diameter can be used as industry benchmarks against which a particular mill’s performance can be evaluated more pre-cisely by eliminating the effect of log size. The numbers in parentheses are reference values derived at 10 in. (25 cm).
International ¼ inchbf LT/bf Int ¼ LS = 0.78815 + 4.17511/DR2 = 0.48 (1.21)
Scribner, Dec C, short logbf LT/Scrib Short log LS = 0.39189 + 10.6801/DR2 = 0.53 (1.46)
Scribner Dec C, long logbf LT/Scrib Long log LS = 5.98529 × D–0.4522
R2 = 0.54 (2.11)
bf/tonbf LT/ton LS = 146.659 × D0.16014
R2 = 0.04 (212)
bf/m3, all millsbf LT/m3 LS = 199.717 × D0.10365
R2 = 0.07 (254)
This last formula was re-estimated with additional explana-tory variables to account for some of the systematic vari-ability in the data. These additional variables were specific product types (dimension, stud, and by elimination, all oth-ers) and region (mills in Canada where log scaling protocols differ from U.S. practices in disallowing trim and some defects, and, again by elimination, mills in the United States and Alberta, where recorded log volumes exclude trim).
Profile 2005: Softwood Sawmills in the United States and Canada
14
These result in the following specific formulas for various mill categories: United States Canada Board & Specialty Timber
174.146 × D0.13729 (1a) 160.218 × D0.13729 (1b)
Stud 200.223 × D0.13729 (2a) 184.209 × D0.13729 (2b)
Dimension 202.480 × D0.13729 (3a) 186.286 × D0.13729 (3b)
Thus, for example, a dimension mill in Canada, except Al-berta, would compare its results against the benchmark pro-vided by Equation (3b), while a similar mill in the United States would more appropriately use Equation (3a). Like-wise, in benchmarking timber costs, an allowance of 8% should be factored in (i.e., $60/m3 in Canada would be the equivalent of $65/m3 in the United States).
Note: All variables were significantly different from zero at the 99% level of confidence.
Table B-1—Board foot/cubic meter, partitioned mills
Variable Coefficient Standard
error t-statistic
Constant (log of) 5.15990 0.13900 37.1
Diameter (log of) 0.13729 0.03040 4.5Dimension = 1, else 0 0.15075 0.02556 5.9
Stud = 1, else 0 0.13954 0.03427 4.1Canada (excl. Alberta) = 1, else 0 –0.08340 0.02215 –3.8
R2 0.25
Research Paper FPL-RP-630
15
Appendix C—Sawmill Capacity and Timber Inventory by State and Province The following maps and tables show past and current capac-ity of sawmills and the availability of timber, by county, in the vicinity of these mills in 30 States. Information on timber density by county in Canada is not available; hence, those maps contain only sawmill sites.
The maps, and their associated tables, are arranged in alpha-betical order, as follows:
Alabama
Alberta
Arizona, New Mexico, and Utah
Arkansas
British Columbia, North
British Columbia, South East
British Columbia, Vancouver
California, northern
Colorado, South Dakota, and Wyoming
Florida
Georgia
Idaho
Louisiana
Maine
Manitoba—see Saskatchewan
Maritime Provinces (New Brunswick, Newfoundland, Nova Scotia and Prince Edward Island)
Maryland
Michigan
Minnesota
Mississippi
Missouri
Montana
New Brunswick—see Maritime Provinces
Newfoundland—see Maritime Provinces
New Hampshire—see Vermont
New Mexico—see Arizona
New York
North Carolina
Nova Scotia—see Maritime Provinces
Oklahoma
Ontario
Oregon
Quebec
Prince Edward Island—see Maritime Provinces
Saskatchewan and Manitoba
South Carolina
South Dakota—see Colorado
Tennessee
Texas, eastern
Utah—see Arizona
Vermont and New Hampshire
Virginia
Washington
Wisconsin
Wyoming—see Colorado
Profile 2005: Softwood Sawmills in the United States and Canada
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Gar
rison
Bro
s Lu
m C
oEu
faul
a35
3535
3535
3514
Bow
ater
Lum
Co
Albe
rtville
229
248
248
247
271
283
20G
reat
Sou
ther
n Fo
r Pro
dH
aley
ville
1616
1616
1616
11Bo
wat
er L
um C
oPr
od F
or A
llianc
e W
esto
ver
118
118
118
118
130
130
33Ky
KenK
ee
Vanc
e21
2121
2121
217
Dud
ley
Lum
Co
Sale
m61
6161
6161
6141
Lass
iter L
um C
oSi
las
1515
1515
1515
27G
eorg
ia-P
acifi
c C
orp
Faye
tte28
828
828
828
828
828
826
LKL
Lum
Co
Gut
hrie
Lum
Co
Oak
man
4747
4747
4747
22G
rays
on L
um C
orp
Hou
ston
123
123
146
153
153
153
18M
cKin
ney
Lum
Co
Mus
cle
Shoa
ls7
77
77
752
Gul
f Lum
Co
Mob
ile23
123
126
026
026
026
442
Millr
y M
ill C
oM
illry
2424
2424
2424
39G
ulf S
tate
s Pa
pM
ound
ville
271
330
366
366
401
590
15M
oone
yham
Lum
Co
Blou
ntsv
ille4
44
44
449
Har
rigan
Lum
Co
Mon
roev
ille20
120
120
120
128
328
331
Pear
son
Lum
Co
Tusc
aloo
sa23
2323
2323
2351
Inte
rnat
iona
l Pap
Cor
pCha
mpi
on
Citr
onel
le20
820
821
221
221
221
26
Phen
ix L
um C
oPh
enix
City
5959
5959
5959
35In
tern
atio
nal P
ap C
orp
Map
lesv
ille23
626
027
127
127
127
134
Seam
an T
im C
oM
onte
vallo
1818
1818
1818
8In
tern
atio
nal P
ap C
orpU
nion
Cam
p C
orpO
pelik
a22
422
422
422
422
422
421
Sips
ey R
iver
Tim
Co
Dou
ble
Sprin
gs12
1212
1212
1224
Jasp
er L
um C
oW
Jas
per
184
189
189
198
198
198
10St
erlin
g Lu
m &
Sup
Co
Goo
dwat
er8
88
88
85
Mea
d W
estv
aco
Geo
rgia
Kra
ftC
otto
nton
283
295
295
319
319
319
54Sw
ift L
um C
oAt
mor
e71
7171
7194
942
M. C
. Dix
on L
um C
oEu
faul
a15
315
315
315
321
221
232
W.G
. Sul
livan
Lum
Co
Nor
thpo
rt66
6666
6666
66So
ftwoo
d lu
mbe
r (1,
000
m³)
2000
2001
2002
2003
2004
2005
2000
2001
2002
2003
2004
2005
Est
imat
ed c
apac
ity62
0660
3761
5962
7964
3365
40 N
umbe
r of s
awm
ills66
6562
6461
55 R
epor
ted
out
put (
U.S
. Cen
sus)
5529
5168
5209
5119
Num
ber e
mpl
oyed
('00
0)4.
64.
54.
44.
54.
24.
1 I
mpl
ied
capa
city
util
izat
ion
89%
86%
85%
82%
Alb
erta
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DB
ALo
catio
n20
0020
0120
0220
0320
0420
05I.D
.N
ame
or D
BA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mill
s23
Mill
ar W
este
rn In
dW
hite
cour
t41
344
844
853
153
153
1Jo
hnso
n B
ros
F P
C
owle
y Fo
r Pro
dC
owle
y38
3838
21M
osto
wic
h Lu
mFo
x C
reek
8310
611
311
311
310
9Ta
ra F
or P
rod
Cal
ling
Lake
5959
595
5N
orth
land
F P
Fort
McM
urra
y14
214
214
214
214
214
2C
allin
g La
ke L
umA
thab
asca
2424
2424
2429
Roc
ky W
ood
Pre
serv
ers
Roc
ky M
tn H
se28
2828
2838
38C
anFo
rH
ines
Cre
ek18
418
420
120
120
194
32S
pray
Lak
eC
ochr
ane
165
165
165
165
165
165
Tim
ber M
ills
25S
unda
nce
Eds
on20
120
120
120
120
120
128
Tall
Pin
e Ti
mLo
dgep
ole
2121
2121
2121
20Ti
meu
For
Pro
dS
pruc
elan
d M
illw
orks
Fort
Ass
inib
oine
8383
8383
8383
Stu
d M
ills
1To
lko
Dai
show
aH
igh
Leve
l59
062
562
863
765
477
915
Alb
erta
Ply
woo
d Lt
dS
lave
Lak
e83
8383
8383
8316
Van
derw
ell
Sla
ve la
ke18
935
446
046
046
046
06
Car
rier J
anvi
er F
PFt
. McM
urra
y13
013
013
013
013
013
026
Wes
t Fra
ser T
im C
oH
i-Ath
a S
awm
illH
into
n57
857
857
857
866
366
37
Car
rier L
um L
tdTr
out L
ake
8989
8989
8989
8W
est F
rase
r Tim
Co
See
hta
For P
rod
Red
Ear
th C
reek
142
142
142
142
142
142
Dim
ensi
on m
ills
17W
est F
rase
r Tim
Co
Zeid
ler F
or In
dS
lave
Lak
e71
7171
7171
7133
Atla
s Lu
mB
lairm
ore
6666
6666
6666
31W
est F
rase
r Tim
Co
Sun
pine
Sun
dre
448
460
510
510
597
602
11B
ouch
er B
ros
Nam
pa61
6161
6199
101
24W
est F
rase
r Tim
Co
Blu
e R
idge
Whi
teco
urt
590
590
623
644
682
684
14B
ucha
nan
Lum
Hig
h P
rairi
e20
120
123
623
623
623
627
Wey
erha
euse
r Can
Dra
yton
Val
ley
316
316
326
326
378
415
22C
& C
Woo
d P
rod
Wey
erha
euse
r Can
Gra
nde
Cac
he27
829
729
729
774
297
13W
eyer
haeu
ser C
anG
rand
e P
rairi
e49
852
952
952
967
575
012
Can
For
Gra
nde
Pra
irie
437
472
491
503
555
562
Spe
cial
ty o
r Unk
now
n18
Ed
Bob
ocel
Lum
Lac
La B
iche
2828
2828
3535
3E
verg
reen
Lum
LaC
rete
1919
1919
1919
2La
Cre
te S
awm
ills
LaC
rete
9411
311
311
311
311
330
Han
sen
For P
rod
Eck
ville
1212
1212
1212
9M
anni
ng D
iver
ified
F P
Man
ning
205
205
205
205
224
224
4W
etke
g Fo
r Pro
dK
eg R
iver
1515
1515
1515
19M
illar
Wes
tern
Ind
Boy
le24
824
827
129
533
033
010
Zavi
sha
Saw
mill
sH
ines
Cre
ek24
2424
2432
32
Sof
twoo
d lu
mbe
r (1,
000
m³)
2000
2001
2002
2003
2004
2005
2000
2001
2002
2003
2004
2005
Est
imat
ed c
apac
ity68
5172
2675
2875
8579
5182
94 N
umbe
r of s
awm
ills
3737
3736
3534
Pro
duct
ion
(Sta
ts C
an)
6743
6841
7205
7541
8033
Num
ber e
mpl
oyed
('00
0)3.
73.
73.
73.
63.
73.
5 I
mpl
ied
capa
city
util
izat
ion
98%
95%
96%
99%
101%
Ariz
ona/
New
Mex
ico/
Uta
hM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
Rei
dhea
d Br
os L
um C
oN
utrio
so
1818
Tric
on T
imbe
rPa
cific
Stu
ds &
Lum
Co
Cim
arro
n 57
19Id
aho
Tim
Cor
pR
io G
rand
e Fo
r Pro
dEs
pano
la
118
130
130
65M
esca
lero
For
Pro
dAl
lied
For P
rod
Alam
ogor
do
7328
7373
73D
imen
sion
Mills
6Fo
rt Ap
ache
Tim
Co
Whi
te R
iver
14
614
611
314
217
717
78
Mes
cale
ro F
or P
rod
Mes
cale
ro
4141
4141
4141
Boar
d M
ills5
Prec
isio
n Pi
neH
eber
35
3028
2828
28Sp
ecia
lty o
r Unk
now
n1
Blaz
zard
Lum
Co
Kam
as
1616
1616
1616
3Fa
briz
zio
Saw
mill
Duc
hesn
e 14
142
Leav
itt L
um C
oKa
mas
30
3028
77
74
Skyl
ine
For R
esU
tah
For P
rod
Esca
lant
e 24
2424
2447
477
Valle
cito
sVa
ugn
Bros
Valle
cito
s 19
1919
1919
19
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
576
500
472
415
423
350
Pro
duct
ion
(U.S
. Cen
sus)
644
566
496
441
Im
plie
d ca
paci
ty u
tiliz
atio
n11
2%11
3%10
5%10
6% N
umbe
r of s
awm
ills11
119
99
8 N
umbe
r em
ploy
ed ('
000)
0.8
0.7
0.7
0.7
0.6
0.6
Ark
ansa
sM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)I.D
.N
ame
or D
BALo
catio
n20
0020
0120
0220
0320
0420
05I.D
.N
ame
or D
BALo
catio
n20
0020
0120
0220
0320
0420
05C
lose
d M
ills16
Inte
rnat
iona
l Pap
Cor
pLe
ola
224
401
401
401
401
401
Inte
rnat
iona
l Pap
Cor
pW
hele
n Sp
rings
4735
1Pi
necr
est L
um C
oG
reen
Bay
Pkg
Plum
ervi
lle10
610
615
315
316
016
5W
eyer
haeu
ser C
oM
ount
ain
Pine
271
153
22Po
tlatc
h C
orp
Pres
cott
347
354
465
543
531
543
Woo
d Lu
m C
oC
hide
ster
1515
1515
24Po
tlatc
h C
orp
War
ren
411
401
378
531
531
543
Stud
Mills
5Tr
avis
Lum
Co
Man
sfie
ld24
824
824
824
824
824
829
Geo
rgia
-Pac
ific
Cor
pC
ross
ett
165
165
165
165
165
165
4U
S Ti
m C
o So
uth
Boon
eville
118
118
118
118
118
118
Dim
ensi
on M
ills28
Wes
t Fra
ser T
im C
oPl
um C
reek
Tim
CoH
uttig
264
264
264
271
354
472
27An
thon
y Fo
r Pro
dU
rban
a21
221
222
422
422
422
410
Wey
erha
euse
r Co
Die
rks
590
590
590
590
661
661
23An
thon
y Ti
mbe
rland
sBe
arde
n Lu
m C
oBe
arde
n30
730
730
731
431
931
9Bo
ard
Mills
14An
thon
y Ti
mbe
rland
s M
alve
rn16
518
921
226
027
128
315
H G
Tol
er &
Son
Le
ola
7171
7171
7171
11Be
an L
um C
oG
lenw
ood
342
342
342
401
413
413
17R
ay W
hite
Lum
Co
Spar
kman
5252
5757
6166
2Bi
bler
Bro
ther
s N
ekoo
sa P
apR
usse
llville
354
354
354
366
389
389
Spec
ialty
or U
nkno
wn
13Bu
ddy
Bean
Lum
Co
Hot
Spr
ings
5959
5959
5959
6C
& M
Lum
Co
Wal
dron
1414
1414
1414
12C
urt B
ean
Lum
Co
Amity
189
189
189
201
201
201
20G
arla
nd G
asto
n Lu
m C
Free
ston
e Sa
wm
ill Sp
arkm
an12
1212
1212
473
Del
tic T
im C
orp
Ola
189
189
201
248
248
248
18H
ixso
n Lu
m S
ales
Pine
Blu
ff7
77
77
725
Del
tic T
im C
orp
Wal
do26
028
330
732
133
033
09
Lew
is L
um &
Mfg
Co
Cov
e71
7171
7171
7126
Geo
rgia
-Pac
ific
Cor
pEl
Dor
ado
260
260
271
260
260
260
8M
id-S
outh
Woo
d Pr
od
Men
a7
77
77
719
Idah
o Ti
m C
orp
Car
thag
e83
8383
8383
837
Scot
t Cou
nty
Lum
Pro
dW
aldr
on23
2323
2323
2321
Inte
rnat
iona
l Pap
Cor
pG
urdo
n28
328
329
329
529
529
5
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
0520
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
5765
5857
5900
6327
6527
6725
Num
ber o
f saw
mills
3232
3030
2929
Rep
orte
d o
utpu
t (U
.S. C
ensu
s)50
3450
3450
8856
71 N
umbe
r em
ploy
ed ('
000)
3.4
3.5
3.4
3.5
3.4
3.4
Im
plie
d ca
paci
ty u
tiliz
atio
n87
%86
%86
%90
%
Brit
ish
Col
umbi
a - I
nter
ior
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
76Po
pe &
Tal
bot
Gra
nd F
orks
179
316
316
319
319
363
Skee
na C
ellu
lose
Rep
apC
arna
by/S
Haz
elto
n15
815
875
Pope
& T
albo
tM
idw
ay36
636
636
638
538
538
5W
est F
rase
r Tim
Co
Wed
eene
Riv
er L
Prin
ce R
uper
t21
517
045
Sigu
rdso
n Br
os L
oggi
ng C
oH
ance
ville
4747
4747
4747
Skee
na C
ellu
lose
Rep
apTe
rrace
373
373
81Sp
ringe
r Cre
ek F
or P
roC
anFo
rSl
ocan
260
260
260
363
363
363
Atco
Frui
tval
e23
2323
18St
uart
Lake
Lum
Co
Fort
St. J
ames
249
255
255
255
255
255
J.S.
Jon
esBo
ston
Bar
510
510
510
87Te
mbe
cC
rest
broo
k Fo
r Ind
Can
al F
lats
307
307
307
413
425
425
Popl
ar C
reek
Salm
on A
rm28
2828
2885
Tem
bec
Cre
stbr
ook
For I
ndEl
ko36
336
336
353
163
763
7W
eyer
haeu
ser C
anVa
venb
y35
237
337
393
27Th
e Pa
s Lu
m C
oPr
ince
Geo
rge/
B47
247
256
663
764
982
6C
anFo
rBa
lfour
For
Pro
dTa
ylor
170
182
189
118
69To
lko
Lavi
ngto
n28
331
934
238
938
938
9W
est F
rase
r Tim
Co
Skee
na C
ellu
lose
Smith
ers
123
123
123
123
67To
lko
Riv
ersi
de F
PLu
mby
/Lav
ingt
on11
328
1212
1212
Tolk
oLo
uis
Cre
ek/B
arrie
re20
820
833
026
456
Tolk
oM
errit
t34
234
235
435
441
351
0C
anFo
rN
orth
woo
d U
pper
Fra
ser
599
614
732
354
35To
lko
Erns
t F P
Que
snel
378
378
460
460
481
519
C G
ED F
or P
rod
Wes
tar I
ndKi
twan
ga94
113
113
113
113
47To
lko
Riv
ersi
de F
PW
illiam
s La
/Cre
e49
649
649
354
361
461
4C
anfo
r-BSl
ocan
- B
Que
snel
108
118
118
5911
848
Tolk
oR
iver
side
W
illiam
s Lk
/Lig
nu51
953
153
853
872
072
0Lo
uisi
ana-
Paci
fic C
orpE
vans
For
Pro
dM
alak
wa
136
109
118
118
118
50W
est F
rase
r Tim
Co
Wel
dwoo
d10
0 M
ile H
ouse
425
510
510
522
581
590
Tim
ber M
ills16
Wes
t Fra
ser T
im C
oBa
bine
For
Pro
dBu
rns
Lake
590
590
590
595
642
642
61Jo
e Ko
zek
Saw
mills
Rev
elst
oke
1212
1212
1212
15W
est F
rase
r Tim
Co
Dec
ker L
ake
Burn
s La
ke99
125
156
165
177
177
88N
orth
Sta
r Pla
ning
Atha
lmer
1111
1117
1717
3W
est F
rase
r Tim
Co
Che
twyn
d Fo
r Ind
Che
twyn
d48
650
754
857
659
060
2St
ud M
ills52
Wes
t Fra
ser T
im C
oAi
nsw
orth
Clin
ton/
Cha
sm41
316
035
454
060
260
21
Can
For
Sloc
anFo
rt N
elso
n21
718
620
128
326
012
714
Wes
t Fra
ser T
im C
oH
oust
on F
or P
rod
Hou
ston
614
625
696
696
732
732
30C
anFo
rBa
lfour
For
Pro
dPr
Geo
rge/
Cle
ar L
ak31
231
234
234
734
734
717
Wes
t Fra
ser T
im C
oEu
roca
n Pu
lp&P
apLe
Jac/
Fras
er L
k56
656
656
680
282
682
644
Car
rier L
um L
tdW
est C
hilc
otin
For
PAn
ahim
Lak
e22
222
222
225
025
025
039
Wes
t Fra
ser T
im C
oW
eldw
ood
Que
snel
295
295
314
314
382
382
40M
cBrid
e Fo
r Ind
Ltd
Wes
t Fra
ser T
im C
oM
cBrid
e51
5151
5152
5237
Wes
t Fra
ser T
im C
oQ
uesn
el72
073
279
586
889
212
2722
Sinc
lair
Ft. S
t. Ja
mes
271
260
260
290
330
330
12W
est F
rase
r Tim
Co
Pac
Inl R
esSm
ither
s45
350
552
962
368
468
423
Sinc
lair/
L &
M L
umN
echa
ko L
umVa
nder
hoof
358
368
368
396
396
396
10W
est F
rase
r Tim
Co
Skee
na C
ellu
lose
Terra
ce18
918
918
994
191
191
31Si
ncla
irPr
ince
Geo
rge
295
295
295
316
316
316
46W
est F
rase
r Tim
Co
Willi
ams
Lake
389
389
465
524
566
566
66To
lko
Riv
ersi
de F
PAr
mst
rong
260
321
321
389
474
496
58W
eyer
haeu
ser C
anKa
mlo
ops/
Mis
s F
262
271
283
319
486
477
70To
lko
Riv
ersi
de F
PKe
low
na34
034
034
037
838
738
573
Wey
erha
euse
r Can
Oka
noga
n Fa
lls32
134
238
538
554
859
049
Tolk
oR
iver
side
FP
Willi
ams
Lk/S
oda
Cr
170
260
283
354
484
484
72W
eyer
haeu
ser C
anPr
ince
ton
337
345
345
361
552
640
Dim
ensi
on M
illsC
edar
Mills
6Ab
itibi
Con
solid
ated
Don
ohue
/Fin
lay
Mac
Kenz
ie78
779
182
682
611
2111
8011
Abfa
m E
nter
p.
Que
en C
harlo
tte
5734
3434
3433
57As
pen
Plan
ers
Mer
ritt
177
177
177
182
238
354
43C
& C
Woo
d Pr
odLi
ttle
Valle
y Fo
r Pro
Bella
Coo
la7
3838
3838
3878
Atco
Park
Sid
ing
182
9494
9494
9464
Coo
per C
reek
Ced
arSa
lmon
Arm
3545
4557
5757
28C
anFo
rPo
lar D
ivBe
ar L
ake
378
432
590
623
623
623
53G
ilber
t Sm
ithG
lenn
Pro
pty
Barri
ere
5757
5752
5252
4C
anFo
rC
hetw
ynd
437
448
524
531
578
578
62La
kesi
de T
imTa
ppen
2828
2833
3333
19C
anFo
rSl
ocan
Enge
n/Va
nder
hoof
/P73
273
285
088
597
913
2882
Mea
dow
Cre
ek C
edar
Kasl
o11
311
311
312
512
512
52
Can
For
Fort
St. J
ohn
385
448
472
566
708
708
65Pa
rago
n Ve
ntur
esC
usto
m P
re-C
ut S
tuGrin
drod
3434
3445
4545
13C
anFo
rN
orth
woo
d H
oust
on96
810
2910
3810
3813
4514
2168
Para
gon
Vent
ures
Cus
tom
Pre
-Cut
StuL
umby
6868
6824
Can
For
Isle
Pie
rreIs
le P
ierre
389
401
566
581
637
642
Boar
d M
ills5
Can
For
Sloc
anM
acKe
nzie
420
425
425
425
543
543
71G
orm
an B
ros
Wes
tban
k22
722
726
028
330
730
77
Can
For
Sloc
anM
acKe
nzie
437
448
448
448
566
566
84J
H H
uscr
oft
Cre
ston
5757
5783
7171
25C
anFo
rN
orth
woo
d Pr
Geo
rge
476
476
543
566
847
847
Spec
ialty
or U
nkno
wn
32C
anFo
rR
usta
d Br
os/N
Wd
Pr G
eorg
e60
265
168
472
076
782
655
Ardr
ew
Mer
ritt
5010
810
810
812
712
789
Can
For
Sloc
anR
adiu
m H
ot S
pr.
283
283
283
378
378
378
38C
& C
Woo
d Pr
odQ
uesn
el57
5757
6464
6451
Can
For
Sloc
anVa
venb
y/C
lear
wat
er40
144
145
349
551
959
542
NW
Spe
cial
ty L
umC
anFo
rVa
lem
ount
212
236
236
236
189
189
36C
anfo
r-ASl
ocan
- A
Que
snel
351
373
373
623
708
708
60D
owne
yR
evel
stok
e12
512
512
516
517
517
526
Car
rier L
um L
tdPr
Geo
rge
396
396
396
413
472
472
63Fe
dera
ted
Coo
pC
anoe
203
203
203
203
203
283
34D
unkl
ey L
umSt
rath
nave
r17
347
247
220
FSJ
All N
atio
ns F
or C
orp
Fort
St J
ames
2828
2833
Dun
kley
Lum
Stra
thna
ver
590
614
614
755
755
755
74H
ilmoe
For
Pr
Roc
k C
reek
2323
2323
2324
86G
allo
way
Lum
Gal
low
ay12
512
512
514
214
214
280
Kale
snik
off
Thru
ms
7171
7171
6161
41H
auer
Bro
sTe
te J
anue
/Val
emou
4033
3333
3333
8Ki
spio
x Fo
r Pro
dSt
ege
Logg
ing
Sout
h H
azel
ton
113
113
113
113
00
59In
ter F
or P
rod
Adam
s La
keC
hase
307
330
354
401
519
566
54Ly
tton
Lum
Ltd
Lytto
n38
3838
7171
719
Kitw
anga
Lum
Co
Kitw
anga
132
170
170
146
5931
79Po
rcup
ine
Woo
d Pr
odSa
lmo
4751
4745
4545
77Po
pe &
Tal
bot
Cas
tlega
r48
950
050
056
656
664
990
Seel
For
Pro
dEd
gew
ater
3434
3442
4242
21Po
pe &
Tal
bot
Can
For
Fort
St. J
ames
519
623
644
647
647
647
29W
oodl
and
Lum
Prin
ce G
eorg
e68
6868
6868
6883
Wyn
ndel
Box
& L
umW
ynnd
el40
4040
8383
83So
ftwoo
d lu
mbe
r (1,
000
m³)
2000
2001
2002
2003
2004
2005
2000
2001
2002
2003
2004
2005
Est
imat
ed c
apac
ity27
844
2860
829
776
3138
034
161
3545
1 N
umbe
r of s
awm
ills10
110
198
9993
90 P
rodu
ctio
n (S
tats
Can
)26
293
2515
629
438
2962
233
023
Num
ber e
mpl
oyed
('00
0)15
.515
.314
.914
.813
.913
.7 I
mpl
ied
capa
city
util
izat
ion
94%
88%
99%
94%
Brit
ish
Col
umbi
a - C
oast
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
4An
ders
en P
ac F
or P
rod
Rus
kin
4040
40C
IPA
Lum
Co
Nan
aim
o20
335
Cou
lson
Man
ufac
tPo
rt Al
bern
i89
113
113
125
125
125
Tim
berW
est F
orFl
etch
Cha
llYo
ubou
/Cow
icha
n28
319
Del
ta C
edar
Del
ta96
8585
8585
90Ba
ysid
ePo
rt M
ello
n79
7930
Errin
gton
Ced
arEr
ringt
on23
2020
2020
20D
oman
-Wes
tern
Lum
Paci
f For
Pro
d(C
IP)
Tahs
is29
559
8Fr
aser
Pul
p ch
ips
Surre
y40
4040
4747
47In
ter F
or P
rod
Fras
er M
illsC
oqui
tlam
340
142
17G
oldw
ood
Ind
Ric
hmon
d91
9191
9171
71W
eyer
haeu
ser C
anM
cMilla
n Bl
oede
llVa
ncou
ver(W
h Pi
ne)
295
295
5929
Inte
r For
Pro
dFl
etch
Cha
ll/BC
FPH
amm
ond/
Map
le R
d34
236
636
636
640
142
5D
oman
Che
mai
nus/
Nan
oose
109
113
113
14M
ill&Ti
m P
rod
Flav
elle
Ced
arPo
rt M
oody
015
315
317
017
017
0In
ter F
or P
rod
Wel
dwoo
dSq
uam
ish
212
224
224
7518
Term
inal
For
Pro
dR
ichm
ond
227
236
236
236
340
340
Wes
tern
For
Pro
d In
cFl
etch
Cha
ll/BC
FPVa
ncou
ver
396
396
396
396
15Te
rmin
al F
or P
rod
Vanc
ouve
r18
118
118
124
124
124
1H
owe
Soun
d W
est C
oast
Cel
lufib
reVa
ncou
ver
113
142
142
142
142
3Tw
in R
iver
Ced
arEm
pire
Ced
arR
uski
n57
5757
7171
71In
ter F
or P
rod
Prim
ex(F
ield
mill)
Cou
rtena
y22
422
422
429
533
016
Wes
tern
For
Pro
d In
cD
oman
Vanc
ouve
r/silv
ertre
e23
823
823
823
825
028
3D
imen
sion
Mills
Tim
ber M
ills27
Wey
erha
euse
r Can
McM
illan
Bloe
dell
Nan
aim
o/Is
l Pho
enix
168
168
342
342
342
342
5M
ill&Ti
m P
rod
Surre
y15
315
315
313
213
213
212
Wey
erha
euse
r Can
McM
illan
Bloe
dell
New
Wes
tmin
ster
319
319
319
319
330
330
7St
agTe
al C
edar
Pro
dSu
rrey
153
153
153
153
153
153
33W
eyer
haeu
ser C
anM
cMilla
n Bl
oede
llPt
Alb
erni
(SO
MAS
S)18
218
218
218
218
218
2D
imen
sion
Mills
Spec
ialty
or U
nkno
wn
13In
ter F
or P
rod
Wes
tern
Whi
tew
ood
New
Wes
tmin
ster
234
234
234
236
260
460
32Fr
ankl
in F
or P
rod
Port
Albe
rni
5757
579
J.S.
Jon
esSu
rrey
354
354
11H
alo
For P
rod
Y.N
. For
Cor
pPi
tt M
eado
ws
3535
3535
3535
36Ti
mbe
rWes
t For
Flet
chC
hall/
CFI
Cam
pbel
l R/E
lk F
alls
271
283
283
307
307
307
21In
ter F
or P
rod
Prim
ex(A
corn
mill)
Del
ta37
837
837
842
542
547
222
Wes
tern
For
Pro
d In
cD
oman
Cow
icha
n Ba
y34
034
034
034
035
638
26
Inte
r For
Pro
dM
cKen
zie
Mills
Surre
y17
717
717
717
776
116
26W
este
rn F
or P
rod
Inc
Dom
anD
uke
Pt./N
anai
mo
210
210
210
172
271
415
31Lo
ng H
oh E
nter
pris
esQ
ualic
um B
each
4711
111
124
Wes
tern
For
Pro
d In
cD
oman
Lady
smith
312
312
312
250
238
264
37Lu
kwa
Mills
Ltd
Port
Har
dy17
2424
2424
2425
Wes
tern
For
Pro
d In
cD
oman
Lady
smith
/Sal
tair
340
396
396
307
290
330
10S
and
R S
awm
illsSu
rrey/
Pt K
ells
408
453
453
453
453
453
23W
eyer
haeu
ser C
anM
cMilla
n Bl
oede
llC
hem
ainu
s/C
SD23
823
830
730
730
730
72
Silv
erm
ere
For P
rod
Slav
e La
ke c
edar
Rus
kin
2828
2824
2424
34W
eyer
haeu
ser C
anM
cMilla
n Bl
oede
llPt
Alb
erni
(APD
)40
140
640
640
640
640
628
Wes
tern
For
Pro
d In
cD
oman
Nan
aim
o30
730
730
734
034
034
0C
edar
Mills
20W
eyer
haeu
ser C
anC
oast
Mtn
Har
dwds
Del
ta11
311
311
311
313
013
01
A J
For P
rod
Brac
kend
ale
2323
2323
2323
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
0520
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
8738
8186
7913
7807
7958
8071
Num
ber o
f saw
mills
4342
3940
3938
Pro
duct
ion
(Sta
ts C
an)
8053
7450
6063
5802
6182
Num
ber e
mpl
oyed
('00
0)6.
25.
95.
34.
64.
54.
4 I
mpl
ied
capa
city
util
izat
ion
92%
91%
77%
74%
78%
Cal
iforn
iaM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³ )
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)I.D
.N
ame
or D
BALo
catio
n20
0020
0120
0220
0320
0420
05I.D
.N
ame
or D
BALo
catio
n20
0020
0120
0220
0320
0420
05C
lose
d M
illsR
edw
ood
Mills
Eel R
iver
R
edcr
est
153
25Bi
g C
reek
Lum
Co
Dav
enpo
rt52
5252
5252
54Se
quoi
a Fo
r Ind
Din
uba
4714
Britt
Lum
Co
Arca
ta11
811
821
221
221
221
2Si
erra
Pac
ific
Ind
Loya
lton
236
22M
endo
cino
For
Pro
dLo
uisi
ana-
Paci
fic C
orp
Uki
ah17
715
314
214
218
918
9Bu
tler F
or P
rod
Red
ding
2121
23R
edw
ood
Empi
reC
love
rdal
e21
221
221
221
222
422
4Be
aver
Lum
Co
Sant
a C
lara
8945
17Sc
hmid
baue
r Lum
Co
Eure
ka14
614
621
722
423
623
6Bi
g Va
lley
Lum
Co
Bieb
er11
157
15Si
mps
on T
im C
oO
rick
saw
mill
Arca
ta94
9494
9494
94Pa
cific
Lum
Co-
Mill
ASc
otia
425
9418
Sim
pson
Tim
Co
Korb
el49
650
755
755
755
755
7Pa
cific
Lum
Co-
Mill
BSc
otia
5254
Dim
ensi
on M
illsSi
skiy
ou F
or P
rod
P&M
Ced
ar P
rod
Ande
rson
118
118
8C
ollin
s Pi
ne C
oC
hest
er18
294
3523
623
623
6W
isco
nsin
-Cal
iforn
ia F
P R
eddi
ng14
214
247
19Ee
l Riv
er L
um P
rod
Fortu
na18
918
90
2417
747
Big
Valle
y Lu
m C
oBu
rney
9494
9421
Har
woo
d Pr
odBr
ansc
omb
307
307
307
307
307
307
Blue
Lak
e Fo
r Pro
d Ar
cata
142
142
142
20Pa
cific
Lum
Co
Scot
ia17
717
7G
eorg
ia-P
acifi
c C
orp
Fort
Brag
g23
621
521
41
Sier
ra F
or P
rod
Terra
Bel
la13
271
109
142
153
153
Men
doci
no F
or P
rod
Loui
sian
a-Pa
cific
Cor
pFor
t Bra
gg16
594
9459
11Si
erra
Pac
ific
Ind
Ande
rson
330
330
387
408
413
413
Paci
fic L
um C
oW
etse
l-Ovi
att L
um C
oElD
orad
o H
ills83
8383
619
Sier
ra P
acifi
c In
dBu
rney
307
307
333
375
396
404
Cal
iforn
ia C
edar
P&M
Ced
ar P
rod
McC
loud
149
149
149
149
4Si
erra
Pac
ific
Ind
Mic
higa
n-C
alifo
rnia
Cam
ino
283
283
269
283
283
283
Paci
fic L
um C
oLo
uisi
ana-
Paci
fic C
orpC
arlo
tta22
422
422
422
412
2Si
erra
Pac
ific
Ind
Chi
nese
Cam
p24
824
824
424
424
424
4Si
erra
Pac
ific
Ind
Susa
nville
260
260
227
236
595
Sier
ra P
acifi
c In
dLi
ncol
n56
656
658
358
860
760
7Pa
cific
Lum
Co
Fortu
na16
520
125
731
431
515
87
Sier
ra P
acifi
c In
dQ
uinc
y54
354
354
354
354
855
0Ti
mbe
r Mills
10Si
erra
Pac
ific
Ind
Shas
ta L
ake
236
236
238
248
250
250
24Be
rry's
Saw
mill
Caz
ader
o14
1414
77
713
Trin
ity R
iver
Lum
Co
Wea
verv
ille23
623
629
531
931
233
716
Sier
ra P
acifi
c In
dAr
cata
205
205
185
217
219
227
Boar
d M
illsSt
ud M
ills6
Sier
ra P
acifi
c In
dO
rovi
lle11
811
810
614
617
217
212
Soun
d St
udAn
ders
on52
5252
5252
523
Sier
ra P
acifi
c In
dSt
anda
rd23
822
419
623
624
824
8
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
0520
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
8393
7299
6913
6911
6751
6438
Num
ber o
f saw
mills
4340
3330
2826
Pro
duct
ion
(WW
PA)
7488
6445
6216
6263
Num
ber e
mpl
oyed
('00
0)5.
65.
24.
74.
34.
23.
7 I
mpl
ied
capa
city
util
izat
ion
89%
88%
90%
91%
Col
orad
o/S.
Dak
ota/
Wyo
min
gM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
Pope
& T
albo
tC
ambr
iaN
ewca
stle
42U
.S. F
or In
d So
uth
Fork
Lum
Sout
h Fo
rk15
383
Loui
sian
a-Pa
cific
Cor
pSa
rato
ga11
822
423
6So
uth
Fork
Lum
Whe
atla
nd6
66
66
Tim
ber M
ills2
Ayre
s &
Bake
rM
t. Vi
ew7
77
77
77
Bear
Lod
ge F
or P
rod
Hul
lett
Post
& P
ole
Hul
ett
99
99
1414
Stud
Mills
4W
yom
ing
Saw
mills
Sh
erid
an94
9494
9494
94D
imen
sion
MIll
s10
Nei
man
n/R
ushm
ore
Con
tinen
tal L
um C
oH
ill C
ity11
812
513
513
713
713
7Bo
ard
Mills
5Bi
g H
orn
Lum
Co
Lara
mie
4545
4747
5257
3C
ody
Lum
Co
Cod
y19
1919
1912
1213
Inte
rmou
ntai
n Fo
r Pro
dM
ontro
se94
9494
9494
949
McL
augh
lin S
awm
ill C
oSp
earfi
sh24
2424
2417
146
Nei
man
n Sa
wm
ill D
evils
Tow
er F
PH
ulet
t11
811
811
811
811
811
814
Plea
sant
Log
ging
& M
illing
Mon
te V
ista
3030
3030
3030
8Po
pe &
Tal
bot
Spea
rfish
271
271
271
271
297
302
Spec
ialty
or U
nkno
wn
12D
elta
Tim
Co
Laze
ar5
55
55
511
R.E
. Lin
de S
awm
ills
Cus
ter
1212
1212
1212
1So
uth
& Jo
nes
Evan
ston
2424
2424
2424
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
1189
1189
1130
897
918
919
Pro
duct
ion
(WW
PA)
nana
nana
Im
plie
d ca
paci
ty u
tiliz
atio
nna
nana
na N
umbe
r of s
awm
ills18
1716
1515
14 N
umbe
r em
ploy
ed ('
000)
1.1
1.1
1.0
0.9
1.0
0.9
Flor
ida
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)I.D
.N
ame
or D
BALo
catio
n20
0020
0120
0220
0320
0420
05Ti
mbe
r Mills
3G
rays
on L
um C
orp
Loui
sian
a-Pa
cific
Cor
pW
estb
ay83
8383
830
014
Tatu
m B
ros
Lum
Co
Law
tey
3333
3333
3333
Stud
Mills
5G
rays
on L
um C
orp
Loui
sian
a-Pa
cific
Cor
pM
aria
nna/
Cyp
ress
8318
923
623
623
623
6D
imen
sion
Mills
2Fl
emin
g Lu
m C
oC
rest
view
2727
2727
2727
10G
eorg
ia-P
acifi
c C
orp
Cro
ss C
ity20
120
121
223
624
524
518
Geo
rgia
-Pac
ific
Cor
pIT
T R
ayon
ier
Pala
tka
179
179
179
179
184
184
12G
ilman
Bui
ldin
g Pr
od C
oLa
ke B
utle
r22
422
422
422
422
422
417
Gilm
an B
uild
ing
Prod
Co
Max
ville
212
212
212
212
212
212
8G
ilman
Bui
ldin
g Pr
od C
oPe
rry13
018
618
619
819
819
811
Gre
at S
outh
Tim
& L
umD
anie
ls L
um
Lake
City
4747
4754
5454
1In
tern
atio
nal P
ap C
orp
Cha
mpi
onM
cDav
id
177
366
413
463
472
16In
tern
atio
nal P
ap C
orp
Cha
mpi
onW
hite
hous
e21
021
021
021
021
021
06
Nor
th F
lorid
a Lu
m C
oBr
isto
l15
315
315
315
324
824
813
Prid
e of
Flo
rida
Rai
ford
1212
1212
1212
4R
ex L
um L
LCU
.S. F
or In
d G
race
ville
142
00
208
248
269
9Su
wan
nee
Lum
Mfg
Co
Cro
ss C
ity11
814
214
214
214
214
2Bo
ard
Mills
7Sh
erro
d Lu
m C
oG
reen
ville
3030
3030
3030
Spec
ialty
or U
nkno
wn
15Fr
ankl
in L
um C
oH
illiar
d6
66
66
6
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
1889
2111
2359
2656
2772
2803
Rep
orte
d o
utpu
t (U
.S. C
ensu
s)17
3920
0620
7219
94 I
mpl
ied
capa
city
util
izat
ion
92%
95%
88%
75%
Num
ber o
f saw
mills
1717
1718
1818
Num
ber e
mpl
oyed
('00
0)1.
31.
41.
41.
51.
51.
5
Geo
rgia
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³ )M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
21Jo
rdan
Lum
& S
up C
oW
eyer
haeu
ser C
oBa
rnes
ville
307
319
319
236
236
236
Inte
rnat
iona
l Pap
Cor
pC
ham
pion
Way
cros
s33
22Ke
adle
Lbr
Ent
erpr
Th
omas
ton
9410
613
514
215
315
3In
tern
atio
nal P
ap C
orp
Was
hing
ton
437
43La
ngda
le F
or P
rod
Co
Vald
osta
307
319
319
326
331
342
Fran
k G
. Lak
e Lb
r Co
Mon
ticel
lo17
738
Met
calf
Lbr C
oM
etca
lfe17
717
717
717
717
717
7G
eorg
ia M
ount
ain
Tim
C
orne
lia6
66
13Po
llard
Lum
Co
Appl
ing
8181
125
125
130
137
J P
Hay
nes
Lum
Co
Can
ton
1414
1433
Ray
onie
rBa
xley
389
389
389
389
389
389
Geo
rgia
Lum
Co
Cov
ingt
on89
8947
17R
ayon
ier
Loui
sian
a-Pa
cific
Cor
pEa
tont
on17
717
717
717
718
918
9Bu
rgin
Lum
Co
Cut
hber
t83
8578
25R
ayon
ier
Cha
mpi
onSw
ains
boro
283
283
283
283
283
283
Mea
d W
estv
aco
Gre
envi
lle26
026
026
013
09
S L
Mille
r & S
ons
Lum
Arm
uche
e30
3030
3030
30Ti
mbe
r Mills
11Te
mpl
e-In
land
Inla
nd C
onta
iner
Rom
e28
328
328
331
931
931
912
Burt
Lum
Co
Was
hing
ton
4538
5254
5959
23To
lleso
n Lu
m C
oPe
rry26
029
529
530
730
730
710
Hog
an&S
tore
y W
ood
Prod
Arm
uche
e18
1818
1818
1837
Tolle
son
Lum
Co
Con
tain
er In
cPr
esto
n21
726
026
027
127
150
77
W D
Clin
e &
Sons
Lum
Co
Dal
ton
1212
1212
1212
36U
S Ti
mbe
rSo
uthe
aste
rn F
or P
rod
Cor
dele
4723
623
6St
ud M
ills46
Varn
Woo
d Pr
odH
obok
en94
9494
9414
213
219
Geo
rgia
-Pac
ific
Cor
pM
ontic
ello
177
177
177
177
177
177
Boar
d M
ills29
W M
She
ppar
d Lu
m C
oBr
ookl
et64
6464
118
123
123
6G
uess
Bro
ther
s Lb
r Co
Tunn
el H
ill15
1515
77
7D
imen
sion
Mills
16Th
e Ti
mbe
rmen
Inc
Cam
ak24
2424
2424
2439
Balfo
ur L
br C
o.Be
adle
s Lu
m C
oTh
omas
ville
113
118
118
118
142
142
Spec
ialty
or U
nkno
wn
40Be
adle
s Lu
m C
oM
oultr
ie13
013
013
515
313
013
08
Bald
ridge
Bro
s D
alto
n5
55
55
528
Cla
ude
How
ard
Lum
Co
Stat
esbo
ro11
311
311
316
516
516
549
Edgy
Pla
ning
Mill
Dar
ien
99
99
99
42D
el-C
ook
Lum
Co
Adel
201
201
201
201
201
201
26Ev
ans
Lum
Co
Sylv
ania
1515
1515
1515
48G
eorg
ia-P
acifi
c C
orp
Brun
swic
k/St
e20
80
00
167
250
18H
allm
an W
ood
Prod
Ea
tont
on16
1616
1616
1630
Geo
rgia
-Pac
ific
Cor
pC
laxt
on20
120
120
120
120
120
141
Hub
ert M
oore
Lum
Co
Alap
aha
047
5959
5959
15G
eorg
ia-P
acifi
c C
orp
War
rent
on20
120
120
120
120
120
11
Irvin
Lum
Co
Cor
nelia
77
77
77
45G
ilman
Bui
ldin
g Pr
od C
oBl
acks
hear
201
212
212
227
227
227
27J
W E
xley
Lum
Co
Cly
o12
1212
1212
1224
Gilm
an B
uild
ing
Prod
Co
Dud
ley
243
243
243
243
243
243
44Li
ttle
Suw
anne
e Lb
r Co
Hom
ervi
lle20
2020
2020
2034
Gilm
an B
uild
ing
Prod
Co
Fitz
gera
ld24
124
124
124
124
124
12
Mou
nt Y
onah
Lum
Co
Cle
vela
nd19
1919
1919
1935
Grif
fin L
um C
oC
orde
le11
111
111
111
111
111
132
Shea
rous
e Lu
m C
oPo
oler
1717
2840
4040
3H
ogan
Lum
Co
Cle
vela
nd14
1414
149
94
Spar
ks L
um C
oEl
lijay
1111
1111
1111
14In
tern
atio
nal P
ap C
orp
Fede
ral P
apbd
Augu
sta
307
307
307
307
307
307
5Su
tton
Lum
Co
Tenn
ga14
1414
1414
1447
Inte
rnat
iona
l Pap
Cor
pU
nion
Cam
p C
orpF
olks
ton
156
165
189
212
212
212
20Va
ughn
Lum
Co
Fors
yth
2121
2121
2121
31In
tern
atio
nal P
ap C
orp
Uni
on C
amp
Cor
pMel
drim
295
307
307
307
307
307
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
0520
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
6888
6394
6477
6409
6721
7050
Num
ber o
f saw
mills
5553
5249
4949
Rep
orte
d o
utpu
t (U
.S. C
ensu
s)65
4460
1162
7857
42 N
umbe
r em
ploy
ed ('
000)
4.2
3.9
3.9
3.9
3.9
4.0
Im
plie
d ca
paci
ty u
tiliz
atio
n95
%94
%97
%90
%
Idah
oM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
Poxl
eitn
er S
awm
illKe
uter
ville
9C
entra
l Ida
ho F
or P
rod
Prin
ceto
n47
Cam
as P
rairi
e Lu
mC
raig
mon
t83
Bois
e C
asca
deC
asca
de/E
mm
ett
224
112
Cro
wn
Paci
ficD
aw F
or P
rod
Coe
ur d
'Ale
ne23
623
6R
iley
Cre
ek L
um C
oLo
uisi
ana-
Paci
fic C
orp
Bonn
ers
Ferry
283
295
295
177
Stud
Mills
3Id
aho
Vene
er C
oC
eda-
Pine
Ven
eer
Sam
uels
8585
8590
9090
13Pl
umm
er F
PR
ayon
ier
Plum
mer
083
165
179
224
224
14R
egul
us S
tud
Mill
Sa
int M
arie
s13
013
017
717
717
717
71
Rile
y C
reek
Lum
Co
Loui
sian
a-Pa
cific
Cor
pM
oyie
Spr
ings
354
378
378
437
484
484
9St
imso
n Lu
m C
oId
aho
For I
nd In
cC
oeur
d'A
lene
-Dea
rmon
d31
931
931
932
132
132
15
Stim
son
Lum
Co
Idah
o Fo
r Ind
Inc/
Mer
ritt B
r oPr
iest
Riv
er33
033
033
031
931
931
9D
imen
sion
Mills
23Be
nnet
t For
Ind
Shea
rer L
um P
rod
Elk
City
8383
142
153
153
102
22Be
nnet
t For
Ind
Gra
ngev
ille79
21C
lear
wat
er F
or In
d Ko
oski
a71
9419
419
620
120
120
Empi
re L
um C
oKa
mia
h11
811
811
811
811
811
824
Ever
gree
n Fo
r Pro
d N
ew M
eado
ws
123
123
123
123
123
123
4J
D L
um
Prie
st R
iver
307
307
307
319
319
319
18Po
tlatc
h C
orp
Cle
arw
ater
Lum
Lew
isto
n37
837
837
840
141
341
315
Potla
tch
Cor
pSa
int M
arie
s20
821
221
224
827
127
17
Rile
y C
reek
Lum
Co
Loui
sian
a-Pa
cific
Cor
pC
hilc
o (A
thol
)28
333
045
347
259
059
06
Rile
y C
reek
Lum
Co
Lacl
ede
330
425
460
496
543
543
19Th
ree
Riv
ers
Tim
Ka
mia
h13
013
013
013
713
713
7Bo
ard
Mills
16Be
nnet
t Lum
Co
Prin
ceto
n18
918
920
121
722
422
48
Idah
o Ve
neer
Co
Post
Fal
ls59
5959
5959
5917
Konk
olvi
lle L
um C
oO
rofin
o64
6464
6468
7111
Mal
loy
Lum
Co
King
ston
5759
5959
5959
10St
imso
n Lu
m C
oId
aho
For I
nd In
cC
oeur
d'A
lene
-Atla
s20
120
120
118
994
94Sp
ecia
lty o
r Unk
now
n25
Jens
en L
um C
oO
vid
1919
1919
1919
2W
elco
Lum
Co
Nap
les
9499
101
106
106
106
12W
hite
man
Lum
Co
Cat
aldo
1414
1414
1414
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
4826
4870
4982
5088
5126
5156
Rep
orte
d o
utpu
t (W
WPA
)44
7543
2644
9846
00 I
mpl
ied
capa
city
util
izat
ion
93%
89%
90%
90%
Num
ber o
f saw
mills
2927
2525
2425
Num
ber e
mpl
oyed
('00
0)2.
82.
92.
62.
62.
42.
5
Loui
sian
aM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
Hun
t Lum
Co
Mar
tin L
um C
oC
asto
r13
0An
gie
Lum
Co
Angi
e35
35M
imm
s Lu
m C
oM
ansf
ield
3535
Inte
rnat
iona
l Pap
Cor
pSp
ringh
ill27
127
127
1Le
esvi
lle L
um C
oLo
uisi
ana-
Paci
fic C
orp
Bern
ice
106
4410
610
647
Stud
Mills
10W
eyer
haeu
ser C
oC
aven
ham
Hol
den
293
293
293
302
378
378
1W
eyer
haeu
ser C
oW
illam
ette
Ind
Tayl
or11
817
718
918
918
918
97
Wey
erha
euse
r Co
Willa
met
te In
dZw
olle
153
177
153
153
165
165
Dim
erns
ion
Mills
3H
ood
Ind
Inte
rnat
iona
l Pap
Cor
pC
oush
atta
236
236
260
260
260
260
13Jo
e N
. Mile
s &
Sons
Bo
galu
sa35
435
438
938
935
435
48
Lees
ville
Lum
Co
Lees
ville
9090
9090
9090
6PB
S Lu
m M
fg
Free
ston
e Sa
wm
ill Pa
rtner
sW
innf
ield
9914
214
214
216
520
29
Tem
ple-
Inla
ndD
equi
ncy
342
354
354
378
378
378
5W
est F
rase
r Tim
Co
Plum
Cre
ek T
im C
oJo
yce
425
425
437
448
460
472
4W
eyer
haeu
ser C
oW
illam
ette
Ind
Dod
son
149
189
217
425
425
425
Spec
ialty
or U
nkno
wn
2Al
mon
d Br
os L
um C
oC
oush
atta
5454
5454
5352
11C
onw
ay G
uite
au L
um C
oAm
ite8
88
88
812
Rya
n Fo
r Pro
dC
ovin
gton
55
55
55
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
2904
2889
2968
2949
2976
2977
Rep
orte
d o
utpu
t (U
.S. C
ensu
s)27
0525
6123
2728
39 I
mpl
ied
capa
city
util
izat
ion
93%
89%
78%
96%
Num
ber o
f saw
mills
1817
1514
1413
Num
ber e
mpl
oyed
('00
0)1.
61.
51.
51.
41.
51.
4
Mai
neM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)I.D
.N
ame
or D
BALo
catio
n20
0020
0120
0220
0320
0420
05I.D
.N
ame
or D
BALo
catio
n20
0020
0120
0220
0320
0420
05C
lose
d M
ills7
Plea
sant
Riv
er L
um C
Ger
ard
Cre
te &
FD
over
-Fox
crof
t83
8318
918
918
920
1M
arrin
er L
um C
oBr
unsw
ick
76
Stra
tton
Lum
Co
Stra
tton
106
106
125
130
130
130
Sher
man
Lum
Co
Sher
man
Sta
tion
17Bo
ard
Mills
Cou
sine
auSo
noco
Co
(Bak
eN
orth
Ans
on42
9C
old
Stre
am L
um C
oW
est E
nfie
ld24
2424
2424
24C
ham
pion
Jam
es R
iver
Tim
COld
Tow
n18
915
Ham
mon
d Lu
m C
oBe
lgra
de12
1212
1213
13In
tern
atio
nal P
ap C
orp
Cha
mpi
onPa
ssad
umke
ag20
147
20H
anco
ck L
um C
oP.
H. C
hadb
ourn
eBet
hel
5757
5757
6168
Can
for
Daa
quam
Lum
InC
ostig
an19
459
22H
anco
ck L
um C
oC
asco
7373
7340
4035
Cou
sine
au
Stro
ng12
1212
13H
anco
ck L
um C
oPi
ttsfie
ld38
3838
4741
41Lo
uisi
ana-
Paci
fic C
orp
Geo
rgia
-Pac
ific
CoW
oodl
and
156
156
156
8H
aske
l Lum
Li
ncol
n9
99
99
12R
icha
rdso
n Fo
r Pro
d ak
a C
robb
Box
CoE
llsw
orth
1717
1712
25H
illsid
e Lu
mW
estb
rook
55
58
98
R. L
eon
Willi
ams
Lum
Co
Clif
ton
2424
2424
14J
D Ir
ving
Hig
hlan
d Lu
m C
oDix
field
201
212
236
236
236
236
Baile
y M
anuf
actu
ring
Co
Frye
burg
2424
2424
27La
valle
y Lu
mSa
nfor
d35
3535
3535
35Ti
mbe
r Mills
24Li
min
gton
Lum
Co
East
Bal
dwin
2424
2424
3535
26G
reat
Bro
ok L
um C
oLe
bano
n9
99
96
621
Love
ll Lu
m C
oLo
vell
1515
1515
1212
11St
illwat
er L
umSt
illwat
er12
1212
1212
1218
Moo
se C
reek
Lum
Co
Turn
er9
99
99
9St
ud M
ills17
N C
Hun
tJe
ffers
on30
3030
3030
303
Fras
er T
im L
tdJ
Paul
Lev
esqu
e &A
shla
nd17
717
720
120
120
120
112
Old
Tow
n Lu
m C
oKe
ndus
keag
3535
3535
3535
Dim
ensi
on M
ills10
Park
er L
um C
oBr
adfo
rd12
1417
1724
241
Beau
lieu
Bros
Lum
C
hapm
an17
1717
1717
1719
R E
Low
ell L
um
Burk
field
1212
1212
1212
2Fr
aser
Tim
Ltd
J Pa
ul L
eves
que
&Mas
ardi
s27
127
130
230
229
529
516
Rob
bins
Lum
Se
arsm
ont
5353
5757
6470
4J
D Ir
ving
Pink
ham
Lum
Co
Ashl
and
153
153
153
153
153
153
23Th
omas
Ham
mon
d &
Son
East
Hira
m14
1414
1414
145
Moo
se R
iver
Lum
Co
Moo
se R
iver
212
212
201
201
215
215
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
0520
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
2577
2048
2139
1951
1920
1942
Num
ber o
f saw
mills
3834
3230
2727
Rep
orte
d o
utpu
t (U
.S. C
ensu
s)24
2118
2719
8519
19 N
umbe
r em
ploy
ed ('
000)
2.4
2.0
1.8
1.5
1.5
1.5
Im
plie
d ca
paci
ty u
tiliz
atio
n94
%89
%93
%98
%
New
Bru
nsw
ick/
Nov
a Sc
otia
/Pr.
Edw
ard
Isla
nd/N
ewfo
undl
and
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DB
ALo
catio
n20
0020
0120
0220
0320
0420
05I.D
.N
ame
or D
BA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mill
s20
Bow
ater
Brid
gew
ater
, NS
156
234
260
262
262
262
Rep
apN
ewca
stle
, NB
241
Can
ada
Bay
Lum
Co
Rod
dick
ton,
NFL
3030
3030
3030
Ash
ley
Col
ter
Boi
esto
wn,
NB
4747
4724
25C
omea
u Lu
mM
eteg
han,
NS
3535
3535
2626
24J
D Ir
ving
Lew
is S
awm
illW
eym
outh
, NS
135
135
135
135
135
9014
Elm
sdal
e Lu
m C
oE
lmsd
ale,
NS
5052
5252
5252
Tim
ber M
ills
34Fr
aser
Tim
ber L
tdJu
nipe
r Lum
Co
Ltd
Juni
per,
NB
378
378
378
378
378
378
33H
J C
rabb
e &
Son
s Lt
dB
risto
l, N
B47
4747
4747
4740
Fras
er T
imbe
r Ltd
Nex
for F
rase
r Pap
ers
Pla
ster
Roc
k, N
B27
127
127
127
427
427
48
Hug
h P
ark
& S
onTh
orbu
rn, N
S9
99
99
930
J D
Irvi
ngG
rand
Lak
e Ti
m L
tdC
hipm
an, N
B25
329
529
529
529
529
5S
tud
Mill
s35
J D
Irvi
ngD
eers
d/Ju
nipe
r, N
B15
315
315
315
315
315
33
Blo
omfie
ld L
um L
tdB
loom
field
,NFL
4147
4752
5252
10J
D Ir
ving
Spr
oule
Lum
Ltd
Trur
o, N
S18
918
918
918
918
918
946
Cha
leur
Saw
mill
Ass
oc
Bel
ledu
ne, N
B17
717
717
717
724
826
04
Jam
esto
wn
Lum
Co
Ltd
Leth
brid
ge,N
FL22
2222
2222
2238
Del
co F
or P
rod
Rex
ton,
NB
5252
5252
5252
29La
kebu
rn L
um C
oM
onct
on, N
B35
3535
3535
356
Den
iso
Lebe
l G
amco
Lum
Sco
tsbu
rn, N
S10
614
214
214
216
526
031
M L
Wilk
ins&
Son
Ltd
Fred
eric
ton,
NB
106
106
106
106
106
106
32D
evon
Lum
Co
Fred
eric
ton,
NB
5959
5959
5959
12M
cTar
a Lt
dU
pp.M
usqu
odob
oit,
NS
413
413
413
413
354
354
27H
A F
awce
tt&S
on L
tdP
etitc
odia
c, N
B14
217
720
121
221
221
243
N A
mer
ican
For
Pro
dS
t. Q
uent
in, N
B23
623
623
623
623
623
622
Har
ry F
reem
an &
Son
Gre
enfie
ld, N
S71
165
165
165
168
168
39N
ewca
stle
Lum
Co
New
cast
le, N
B41
4141
4254
6616
Hef
ler F
or P
rod
Ltd
Low
er S
ackv
ill, N
S24
2424
2424
2428
T P
Dow
ney
& S
ons
Hill
sbor
ough
, NB
3535
3535
3535
5J
D Ir
ving
Geo
rget
own
Tim
Geo
rget
own,
PE
I17
717
717
717
717
717
7B
oard
Mill
s44
J D
Irvi
ngD
enis
o Le
bel
Ked
gwic
k, N
B23
623
624
825
326
026
036
J D
Irvi
ngD
oakt
own,
NB
9494
9494
9494
41J
D Ir
ving
St.
Leon
ard,
NB
463
463
463
463
463
463
Spe
cial
ty o
r Unk
now
n26
J D
Irvi
ngB
aysh
ore
Lum
Sus
sex,
NB
295
295
295
295
295
295
7C
F D
icks
on F
or P
rod
Wes
tvill
e, N
S28
2828
2828
2815
Ledw
idge
Lum
Co
Enf
ield
, NS
142
142
142
142
158
177
19H
oeg
Bro
s Lu
mS
. Ham
pton
, NS
2424
2424
2424
47U
PM
Kym
men
eS
tone
Con
tain
er B
athu
rst,
NB
118
118
118
118
118
118
23H
oldw
right
Lum
Pro
dQ
ueen
s C
o., N
S9
99
99
9D
imen
sion
Mill
s11
Julim
ar L
umB
rook
field
, NS
7171
7171
7171
2A
L S
tuck
less
& S
ons
Gle
nwoo
d,N
FL28
2828
2828
2818
Kin
gsto
n Lu
m&
Bld
g S
uppl
Kin
gsto
n, N
S12
1212
1212
1245
Adr
ien
Ars
enau
ltB
alm
oral
, NB
5959
5959
5959
17M
urra
y R
eeve
sN
ew R
oss,
NS
1111
1111
1111
21B
arre
tt Lu
m C
oLo
wer
Sac
kvill
e, N
S16
1616
1612
1213
Rus
sel W
hite
Lum
Ken
netc
ook,
NS
3535
3535
3535
37B
lack
ville
Lum
Bla
ckvi
lle, N
B59
7171
7171
719
Will
iam
s B
ros
Ltd
Bar
ney'
s R
iver
, NS
1515
1515
1515
42B
owat
erP
F A
llian
ceB
aker
Bro
ok ,
NB
156
156
156
156
156
156
Sof
twoo
d lu
mbe
r (1,
000
m³)
2000
2001
2002
2003
2004
2005
2000
2001
2002
2003
2004
2005
Est
imat
ed c
apac
ity53
8456
6657
2757
3157
6758
59 N
umbe
r of s
awm
ills
4948
4848
4747
Pro
duct
ion
(Sta
ts C
an)
5059
4973
5158
5322
5666
Num
ber e
mpl
oyed
('00
0)3.
63.
63.
63.
63.
73.
7 I
mpl
ied
capa
city
util
izat
ion
94%
88%
90%
93%
98%
Mar
ylan
dM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
Spic
er
Chu
rch
Cre
ek12
Tim
ber M
ills2
J. V
. Wel
ls L
um C
oSh
arpt
own
7683
8383
8383
5M
illville
Lum
Co
J. M
ilton
Law
s Sn
ow H
ill24
2424
2428
28Sp
ecia
lty o
r Unk
now
n3
Cro
pper
Bro
ther
s Lu
m C
oW
illard
s33
3333
3333
331
Dor
ches
ter L
um C
oLi
nkw
ood
1717
1717
1717
4Pa
ul M
. Jon
es L
um C
oSn
ow H
ill24
2424
2424
246
St. L
aure
nt P
apbd
Che
sape
ake
Bldg
Pro
dPr
ince
ss A
nne
6464
6464
6464
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
248
243
243
243
248
248
Rep
orte
d o
utpu
t (U
.S. C
ensu
s)25
726
725
317
7 I
mpl
ied
capa
city
util
izat
ion
104%
110%
104%
73%
Num
ber o
f saw
mills
76
66
66
Num
ber e
mpl
oyed
('00
0)0.
40.
30.
30.
30.
30.
3
Mic
higa
nM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Tim
ber M
ills3
Ced
ar R
iver
Lum
Co
Pow
ers
4242
4242
4242
8Pi
ne T
ech
Lake
City
8310
611
811
812
513
7St
ud M
Ills
4Po
tlatc
h C
orp
Loui
sian
a-Pa
cific
Cor
pG
win
n29
535
441
341
342
242
2D
imen
sion
Mills
9Jo
hn A
. Bie
wer
Lum
Co
McB
ain
9797
118
118
118
130
Boar
d M
ills7
AJD
For
Pro
dG
rayl
ing
5252
5252
5252
2As
pen
Lum
Co
Sago
la21
2121
2121
21Sp
ecia
lty o
r Unk
now
n1
Eric
kson
Lum
L'
Anse
1515
1515
1515
5M
anis
tique
Saw
& P
lani
ng
Man
istiq
ue7
77
77
76
Mat
elsk
i Lum
Co
Boyn
e Fa
lls14
1414
1414
14So
ftwoo
d lu
mbe
r (1,
000
m³)
2000
2001
2002
2003
2004
2005
Est
imat
ed c
apac
ity62
770
980
180
181
784
1 R
epor
ted
out
put (
U.S
. Cen
sus)
467
604
793
795
Im
plie
d ca
paci
ty u
tiliz
atio
n75
%85
%99
%99
% N
umbe
r of s
awm
ills9
99
99
9 N
umbe
r em
ploy
ed ('
000)
0.6
0.6
0.6
0.6
0.6
0.6
Min
neso
taM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
Hed
stro
m L
um C
oM
idw
est T
im In
cTw
o H
arbo
rs24
Tim
ber M
ills2
Page
& H
ill Fo
r Pro
dBi
g Fa
lls14
1414
1414
14St
ud M
ills6
Potla
tch
Cor
pBe
mid
ji18
620
121
223
626
028
37
Raj
ala
Tim
Co
Dee
r Riv
er83
4242
4242
28D
imen
sion
Mills
8C
ass
For P
rod
Cas
s La
ke24
2424
2424
244
Hed
stro
m L
um C
oG
rand
Mar
ais
5959
5959
4747
Boar
d M
ills3
N. L
ight
s Ti
m &
Lum
Net
t Lak
e R
esO
rr14
1414
1414
145
Raj
ala
Tim
Co
Bigf
ork
2424
2424
2424
Spec
ialty
or U
nkno
wn
9C
hris
tens
en F
or P
rod
Pine
Riv
er5
55
55
51
Roo
seve
lt Lu
mR
oose
velt
55
55
55
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
437
387
399
423
434
444
Rep
orte
d o
utpu
t (U
.S. C
ensu
s)34
930
932
331
9 I
mpl
ied
capa
city
util
izat
ion
80%
80%
81%
75%
Num
ber o
f saw
mills
109
99
99
Num
ber e
mpl
oyed
('00
0)0.
50.
40.
40.
40.
40.
4
Mis
siss
ippi
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³ )M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
19C
olum
bus
Lbr C
oPh
illips
Bro
ther
s Lu
mBro
okha
ven
2424
2424
2424
Cla
rk F
or P
rod
Leak
esvi
lle24
20C
olum
bus
Lbr C
oBr
ookh
aven
165
165
182
184
189
189
Forb
es L
um C
oSa
ndy
Hoo
k28
1918
Fran
klin
Tim
Co
Bude
4242
4747
111
111
Ever
gree
n Lu
m C
oSa
ndy
Hoo
k30
3013
Geo
rgia
-Pac
ific
Cor
pBa
y Sp
rings
264
276
290
290
290
290
Nes
hoba
Lum
Loui
sian
a-Pa
cific
Cor
pPhi
lade
lphi
a94
5930
Geo
rgia
-Pac
ific
Cor
pC
olum
bia
271
271
271
271
271
271
Wig
gins
Lum
Co
Wig
gins
9459
32G
eorg
ia-P
acifi
c C
orp
New
Aug
usta
236
236
236
236
236
236
Pine
Bel
t Woo
d Pr
odLo
uisi
ana-
Paci
fic C
orpH
attie
sbur
g35
831
Han
kins
Inc
Rip
ley
146
177
189
201
212
212
Inte
rnat
iona
l Pap
Cor
pM
orto
n33
033
091
5H
anki
ns L
um C
oG
rena
da23
623
628
328
329
529
5Fi
sack
erly
Lum
Co
Win
ona
88
88
16H
azle
hurs
t Lum
Co
Haz
lehu
rst
118
118
130
130
130
130
Han
kins
Lum
Co
Win
ona
3545
4747
4723
Hoo
d In
d Lo
ngle
af F
or P
rod
Way
nesb
oro
354
354
366
366
389
401
Geo
rgia
-Pac
ific
Cor
pR
oxie
248
248
00
158
22Jo
e N
. Mile
s &
Sons
Si
lver
Cre
ek28
328
334
040
140
140
1Ti
mbe
r Mills
24M
abry
Lum
Co
Libe
rty47
4747
4747
477
Barg
e Fo
r Pro
d M
acon
5252
5261
6161
6Pa
ckag
ing
Cor
p Te
nnec
oAc
kerm
an26
626
626
627
627
627
627
Byrd
Lum
Co
Fern
woo
d38
3838
4242
428
Shuq
uala
k Lu
m C
oSh
uqua
lak
260
260
278
278
278
278
3H
oman
For
Pro
dFu
lton
3333
3333
3333
17So
uthe
rn L
um C
oH
erm
anvi
lle16
517
017
217
719
419
410
Jack
Bat
te &
Son
s Fo
rest
6161
8383
9494
4W
eyer
haeu
ser C
oBr
uce
517
517
517
519
543
543
21Li
ncol
n Lu
m C
oBr
ookh
aven
1212
1212
1212
26W
eyer
haeu
ser C
oC
aven
ham
Fern
woo
d/M
cCom
b51
451
451
455
554
354
331
Rog
ers
Lum
Cor
pC
olum
bia
1818
1818
1818
9W
eyer
haeu
ser C
oPh
ilade
lphi
a51
451
451
454
354
354
3St
ud M
illsBo
ard
Mills
14G
eorg
ia-P
acifi
c C
orp
Tayl
orsv
ille15
815
815
815
815
815
828
Thre
e S
Ente
rpris
es
Seag
o Lu
m C
oM
cCom
b44
4484
101
101
101
Dim
ensi
on M
illsSp
ecia
lty o
r Unk
now
n2
A. V
. Litt
rell
Lum
Mill
Tish
omin
go83
8383
8383
8315
Broa
dhea
d Lu
m &
Mfg
Co
Men
denh
all
1212
1212
1212
12Ba
zor L
um C
oH
anki
ns L
um C
oQ
uitm
an15
315
315
30
153
153
29Fo
xwor
th &
Tho
mps
on
Foxw
orth
99
99
99
11Bu
chan
an L
umM
id S
outh
Mer
idia
n57
5757
5776
7625
Mag
nolia
Lum
Co
Fern
woo
d17
1717
1717
17
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
0520
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
6098
6098
5621
5569
6047
5854
Num
ber o
f saw
mills
4241
3533
3432
Rep
orte
d o
utpu
t (U
.S. C
ensu
s)56
5252
3748
9251
19 N
umbe
r em
ploy
ed ('
000)
3.4
3.3
3.0
2.7
2.9
2.8
Im
plie
d ca
paci
ty u
tiliz
atio
n93
%86
%87
%92
%
Mis
sour
iM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
Fros
t Saw
mill
Birc
h Tr
ee6
66
6Sp
ecia
lty o
r Unk
now
n1
Arne
son
Tim
Co
Stee
lville
99
99
99
2Bo
tkin
Lum
Co
Farm
ingt
on15
1515
1515
15
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
3030
3030
2424
Pro
duct
ion
(U. S
. Cen
sus)
5452
4542
Im
plie
d ca
paci
ty u
tiliz
atio
n18
0%17
3%14
9%14
1% N
umbe
r of s
awm
ills3
33
32
2 N
umbe
r em
ploy
ed ('
000)
0.1
0.1
0.1
0.1
0.0
0.0
Mon
tana
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)I.D
.N
ame
or D
BALo
catio
n20
0020
0120
0220
0320
0420
05C
lose
d M
illsLu
mbe
r Pro
d C
oD
illon
12Am
eric
an S
tud
Co
Oln
ey11
8To
ngue
Riv
er L
um C
oN
. Che
yenn
e Pi
ne C
oAs
hlan
d71
71W
atte
rs L
um C
oTh
omps
on F
alls
99
99
Vins
on T
im P
rod
Trou
t Cre
ek57
5757
57C
row
der L
um C
oBe
rg L
um C
oLe
wis
tow
n18
1835
59Lo
uisi
ana-
Paci
fic C
orp
Belg
rade
212
212
208
112
Cas
cade
Tim
La
urel
3030
3030
30Ti
mbe
r Mills
10Kl
inge
r Lum
Co
Kalis
pell
2121
2121
2121
Stud
Mills
14Ea
gle
Stud
Mill
Mis
soul
a54
5454
5454
5417
Mou
ntai
n Lu
mLo
uisi
ana-
Paci
fic C
orp
Dee
r Lod
ge29
029
531
931
931
931
91
Plum
Cre
ek T
im C
oFo
rtine
165
165
195
234
234
234
8Pl
um C
reek
Tim
Co
Kalis
pell/
Ever
gr23
624
324
424
824
824
820
R.Y
. Tim
Livi
ngst
on18
918
921
221
221
221
218
R.Y
. Tim
Tow
nsen
d14
214
216
518
918
918
915
Stim
son
Lum
Co
Bonn
er28
314
214
228
328
328
3D
imen
sion
Mills
7F.
H. S
toltz
e La
nd&L
um C
oC
olum
bia
Falls
125
132
149
153
156
156
3Lo
ne P
ine
Tim
Ind
Eure
ka90
9090
9090
902
Ow
ens
and
Hur
st L
um C
oEu
reka
189
189
189
189
189
189
11Th
omps
on R
iver
Lum
Th
omps
on F
alls
9494
9494
9494
Boar
d M
ills19
D &
G L
um C
oTh
ree
Fork
s59
5959
5959
596
Plum
Cre
ek T
im C
oC
olum
bia
Falls
189
189
189
189
189
189
12Pl
um C
reek
Tim
Co
Pabl
o21
921
917
717
221
221
213
Pyra
mid
Mou
ntai
n Lu
mSe
ely
Lake
118
118
142
153
177
177
Spec
ialty
or U
nkno
wn
16Bl
ackf
oot R
iver
Lum
Co
Vict
or30
3030
3030
304
Nor
th E
nd T
im P
rod
Oln
ey35
5959
5959
5R
BM L
umC
olum
bia
Falls
44
44
44
9St
illwat
er F
or P
rod
Kalis
pell
9494
9494
9494
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
3117
2900
2964
3112
2941
2912
Rep
orte
d o
utpu
t (W
WPA
)27
7825
4926
9725
44 I
mpl
ied
capa
city
util
izat
ion
89%
88%
91%
82%
Num
ber o
f saw
mills
2726
2525
2120
Num
ber e
mpl
oyed
('00
0)2.
22.
01.
92.
01.
81.
8
New
Yor
kM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DB
ALo
catio
n20
0020
0120
0220
0320
0420
05Ti
mbe
r Mill
s1
Ang
elic
a Fo
r Pro
dA
ngel
ica
1919
1919
1919
5Lo
k-N
-Log
sS
herb
urne
1212
1212
1212
11W
ard
Lum
Co
Jay
3333
3333
3333
Dim
ensi
on M
ills
21B
eech
woo
d Lu
m C
oC
allic
oon
55
55
55
9B
roth
ers
Lum
Nor
woo
d7
77
77
74
Edm
onds
Lum
Sm
yrna
77
77
77
2Fl
eisc
hman
Far
ms
Atla
nta
77
77
77
7G
.W. P
latt
& S
ons
Wes
tdal
e18
1818
1818
1819
L J
Val
ente
, Inc
.A
veril
l Par
k5
55
55
518
Ryn
ard
G. G
undr
um L
umG
rafto
n7
77
77
76
Spi
nk L
umC
amde
n7
77
77
720
Urr
ey L
umM
iddl
ebur
gh7
77
77
7B
oard
Mill
s14
Bro
wn
& S
on L
um C
oC
hest
erto
wn
77
77
77
15C
oope
r Lum
, Inc
.C
hest
erto
wn
77
77
77
12C
ornw
right
Lum
Cor
pLe
wis
1111
1111
1111
3C
ote
Woo
d P
rod
Gro
ton
1212
1212
712
13D
rake
Lum
Cor
pS
chro
on L
ake
99
99
99
8Jo
hnso
n Lu
m C
oC
arth
age
3131
3131
3131
17M
ead
Lum
Que
ensb
ury
77
77
77
16R
icha
rd B
aker
& S
ons
War
rens
burg
77
77
77
10W
ood
Pro
d In
cA
usab
le F
orks
99
99
99
Sof
twoo
d lu
mbe
r (1,
000
m³)
2000
2001
2002
2003
2004
2005
Est
imat
ed c
apac
ity23
423
423
423
422
923
4 P
rodu
ctio
n (U
.S. C
ensu
s)26
219
416
316
0 I
mpl
ied
capa
city
util
izat
ion
112%
83%
70%
69%
Num
ber o
f saw
mill
s21
2121
2121
21 N
umbe
r em
ploy
ed ('
000)
0.3
0.3
0.3
0.3
0.3
0.3
Nor
th C
arol
ina
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
14Tr
oy L
um C
oTr
oy16
516
516
317
017
017
0C
urtis
Lum
Co
Moo
resv
ille6
37W
eyer
haeu
ser C
oAy
den/
Gre
env
531
566
566
590
590
590
Wac
cam
aw L
um C
oTa
bor C
ity6
33W
eyer
haeu
ser C
oPl
ymou
th41
347
247
254
359
059
0C
oast
al L
um C
oAr
ant L
um C
oN
ew B
ern
24Bo
ard
Mills
Loui
sian
a-Pa
cific
Cor
pH
ende
rson
9443
F. L
. Tur
lingt
on L
br C
oC
linto
n13
1313
1313
13N
oonk
este
r Lbr
M
ount
Airy
55
31J
W J
ones
Lum
Co
Eliz
abet
h C
ity42
4258
5964
66C
. G. F
ox L
um C
oC
onov
er17
1742
Jerry
G. W
illiam
s &
Sons
Sm
ithfie
ld24
2421
2124
24Bi
ngha
m L
br C
oD
ento
n24
2444
Keen
er L
um C
oC
linto
n40
4040
4042
42R
oano
ke L
um C
oR
oano
ke R
apid
s34
3434
40Ke
ener
Lum
Co
Smith
field
3333
3333
5966
Alle
n Br
os T
im C
oR
ocki
ngha
m10
1010
541
Lam
pe&M
alph
rus
Lum
Co
Smith
field
4771
8383
9710
9M
eban
e Lu
m C
oM
eban
e73
7378
978
1Pa
rton
Co
Rut
herfo
rdto
n94
9494
9494
94H
illsvi
lle L
um C
oTr
inity
88
88
818
Ran
dlem
an L
um C
oR
andl
eman
97
712
1212
Youn
ce &
Ral
ph L
um C
oPa
nteg
o19
1919
1919
4Sa
le L
um C
oN
. Wilk
esbo
ro5
77
711
11W
ater
s Lu
m C
oBo
stic
1919
1919
1945
War
d Lu
m C
oEl
izab
etht
own
2424
2424
2424
King
Lum
Co
Seag
rove
2424
2424
2436
War
mac
k Lu
m C
oC
ove
City
88
88
88
Tim
ber M
illsSp
ecia
lty o
r Unk
now
n5
G &
G L
um C
oU
nion
Gro
ve42
4242
4242
4222
Apex
Lum
Co
Apex
1111
1111
1111
30H
ofle
r & S
ons
Lum
Co
Sunb
ury
2424
2424
2424
11Bi
ll H
anks
Lum
Co
Dan
bury
1111
1111
1111
Stud
Mills
9Br
ittai
n Lu
m C
oSt
ates
ville
99
99
99
35W
eyer
haeu
ser C
oN
ew B
ern
201
212
212
271
271
271
29C
oxe
Lew
is L
um C
oAs
hton
Lew
is L
um C
Gat
esvi
lle42
4252
5454
54D
imen
sion
Mills
32Ev
ans
Lum
Co
Albe
mar
le F
or P
rod
Eden
ton
2121
2124
2424
19Br
axto
n Sa
wm
ill G
raha
m24
2424
2424
246
Fortn
er L
um C
oH
idde
nite
66
66
66
27Ev
ans
Lum
Co
Lew
isto
n59
5971
7171
717
F. S
. Chi
lder
s&So
ns L
br C
oTa
ylor
sville
4444
4444
4444
28G
eorg
ia-P
acifi
c C
orp
Ahos
kie
184
184
184
184
184
184
8G
& G
Lum
Co
Cat
awba
583
23G
eorg
ia-P
acifi
c C
orp
Cha
mpi
onC
reed
moo
r16
816
816
816
816
816
82
L F
Del
p Lu
m C
oSp
arta
44
44
44
39G
eorg
ia-P
acifi
c C
orp
Dud
ley
198
198
198
198
198
198
17M
cInt
osh
Lum
Co
Star
1212
1212
1212
46G
eorg
ia-P
acifi
c C
orp
Whi
tevi
lle17
017
017
017
094
9412
Pied
mon
t Har
dwd
Lbr C
oM
ount
Ple
asan
2121
2121
2121
13H
W C
ulp
Lum
Co
New
Lon
don
177
177
182
186
189
189
24Pr
uitt
Lum
Co
Loui
sbur
g35
3535
3535
3547
Inte
rnat
iona
l Pap
Cor
pR
iege
lwoo
d43
747
247
247
250
050
03
Ran
dy M
iller L
um C
oM
illers
Cre
ek24
2424
2626
2626
Inte
rnat
iona
l Pap
Cor
pU
nion
Cam
p C
orp
Seab
oard
212
224
224
224
224
224
38R
oger
Car
ter C
orp
Kins
ton
55
55
55
15Jo
rdan
Lum
& S
up C
oM
ount
Gile
ad34
235
436
640
147
253
110
Shav
er W
ood
Prod
Cle
vela
nd14
1421
2121
2134
Mas
on L
um C
oW
ashi
ngto
n35
3535
3838
2825
Tone
y Lu
m C
oLo
uisb
urg
3535
4142
5454
20N
ew S
outh
J.
L. S
izem
ore
& So
nsG
raha
m18
918
920
120
123
123
116
Troy
Lum
Sal
es C
orp
Nor
man
2525
2525
2525
21W
renn
Bro
s Si
ler C
ity23
2323
2323
23
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
0520
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
4615
4674
4719
4916
4997
5068
Num
ber o
f saw
mills
6056
5352
5247
Pro
duct
ion
(U.S
. Cen
sus)
3693
4165
4371
4404
Num
ber e
mpl
oyed
('00
0)3.
63.
53.
43.
33.
63.
5 I
mpl
ied
capa
city
util
izat
ion
80%
89%
93%
90%
Okl
ahom
aM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Dim
ensi
on M
ills3
Bibl
er B
roth
ers
Geo
rgia
-Pac
ific
Cor
pId
abel
283
283
290
295
309
319
2W
eyer
haeu
ser C
oW
right
City
543
543
543
543
543
543
Spec
ialty
or U
nkno
wn
1C
onne
r Ind
St
ilwel
l15
1515
1515
154
Woo
d Lu
m C
oId
abel
2447
5254
5454
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
865
888
901
907
922
931
Pro
duct
ion
(U.S
. Cen
sus)
nana
nana
Im
plie
d ca
paci
ty u
tiliz
atio
nna
nana
na N
umbe
r of s
awm
ills4
44
44
4 N
umbe
r em
ploy
ed ('
000)
0.4
0.4
0.4
0.4
0.4
0.4
Ont
ario
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³ )M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
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m³)
I.D.
Nam
eor
DB
ALo
catio
n20
0020
0120
0220
0320
0420
05I.D
.N
ame
or D
BA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mill
s20
Dom
tar
Whi
te R
iver
295
295
295
295
295
295
A&
L La
freni
ere
Gre
en F
or L
umC
hapl
eau
6666
15Le
cour
s Lu
m C
oC
alst
ock
236
236
236
248
260
260
Tem
bec
Mat
taw
a83
8383
28Li
skea
rd L
um L
tdN
ew L
iske
ard
7171
7171
7171
Dom
tar
AG
AW
AS
ault
Ste
. Mar
ie94
9494
18O
lav
Haa
vald
srud
Tim
Co
Hor
nepa
yne
153
153
153
153
153
153
Wey
erha
euse
rA
veno
r D
ryde
n17
919
619
614
724
Pin
eal L
ake
Lum
Cha
plea
u83
8383
8383
83Te
mbe
cM
alet
teK
irkla
nd L
ake
125
125
125
125
125
25Te
mbe
cW
eyer
haeu
ser
Cha
plea
u18
420
121
223
623
627
1Te
mbe
cE
xcel
For
Pro
dO
pasa
tika
177
177
177
201
196
5316
Tem
bec
Mal
ette
Hea
rst
236
248
283
283
283
366
Dom
tar
E B
Edd
yC
hapl
eau
184
184
184
184
101
2523
Tem
bec
Mal
ette
Tim
min
s37
834
234
234
234
234
2Ti
mbe
r Mill
s6
Wey
erha
euse
rA
veno
rE
ar F
alls
304
304
304
304
304
448
34Is
idor
e R
oy L
tdS
turg
eon
Falls
2525
2525
2525
Boa
rd M
ills
40L.
Hei
dem
ann
& S
ons
Ega
nvill
e35
3535
3535
3539
Ben
Hok
um &
Son
Kill
aloe
9494
9494
9494
Stu
d M
ills
8B
owat
erIg
nace
Saw
Igna
ce45
4545
045
457
Buc
hana
n Lu
mM
cKen
zie
For P
rod
Hud
son
354
401
472
496
507
507
33G
oula
rd L
um (1
971)
Ltd
Stu
rgeo
n Fa
ll s10
610
610
610
610
610
631
Gog
ama
For P
rod
Ltd
Leva
ck14
215
316
517
217
217
241
Her
b S
haw
& S
onP
etaw
awa
2121
2121
2121
2K
enor
a Fo
r Pro
d K
enor
a11
816
517
517
518
918
94
Man
itou
Lum
Co
Em
o14
1414
1412
919
Tem
bec
Mal
ette
/Nor
mic
k P
Coc
hran
e23
630
731
933
033
031
629
Mid
way
Lum
Mill
s Th
essa
lon
4242
4242
4242
17Te
mbe
cS
pruc
e Fa
lls In
cK
apus
kasi
ng14
221
221
221
221
221
237
Mur
ray
Bro
ther
s Lu
m C
oM
adaw
aska
8383
8383
8383
Dim
ensi
on M
ills
42P
embr
oke
Lum
Co
Pem
brok
e19
1919
1919
1910
Bow
ater
Thun
der B
ay11
823
423
4S
peci
alty
or U
nkno
wn
9B
ucha
nan
Lum
Atik
okan
For
Pro
d Lt
dAtik
okan
319
319
319
319
319
319
43C
A S
penc
er
Loch
iel
2424
2424
2424
21B
ucha
nan
Lum
Dub
reui
l For
Pro
d Lt
dD
ubre
uilv
ille
283
283
283
283
283
283
26C
hem
inis
Lum
La
rder
Lak
e26
2626
2626
2614
Buc
hana
n Lu
mLo
ng L
ake
For P
rod
Long
lac
260
260
283
283
283
283
3D
evlin
Tim
Co
Tri L
ake
Tim
inc
Ken
ora
1919
1919
1919
13B
ucha
nan
Lum
Nak
ina
For P
rod
Nak
ina
212
236
283
307
307
307
5D
omta
rLK
GH
Con
tract
ing
L tR
ed L
ake
5959
5959
5959
12B
ucha
nan
Lum
Nor
ther
n S
awm
ills
Thun
der B
ay37
837
837
837
837
837
838
Frey
mon
d Lu
m L
tdB
ancr
oft
1717
1717
1212
11B
ucha
nan
Lum
Gre
at W
est T
im L
td
Thun
der B
ay47
247
247
247
247
247
235
H&
R C
hartr
and
Noe
lvill
e59
5959
5959
5927
Dom
tar
Elk
Lak
e P
lani
ng M
illsE
lk L
ake
142
142
142
142
142
212
36M
cRae
Mill
s Lt
dW
hitn
ey31
3131
3131
3130
Dom
tar
EB
Edd
yN
airn
Cen
tre49
649
649
649
649
649
632
Por
tela
nce
Lum
Cap
reol
Han
mer
3535
3547
4747
22D
omta
rE
B E
ddy
Tim
min
s13
013
014
215
828
329
01
Trila
ke T
im C
oK
eew
atin
2424
2424
2424
Sof
twoo
d lu
mbe
r (1,
000
m³)
2000
2001
2002
2003
2004
2005
2000
2001
2002
2003
2004
2005
Est
imat
ed c
apac
ity73
0875
8977
5677
5778
3978
18 N
umbe
r of s
awm
ills
4949
4846
4645
Pro
duct
ion
(Sta
ts C
an)
8171
8187
8589
8409
8249
Num
ber e
mpl
oyed
('00
0)5.
55.
55.
45.
35.
15.
0 I
mpl
ied
capa
city
util
izat
ion
112%
108%
111%
108%
105%
Ore
gon
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³ )M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DB
ALo
catio
n20
0020
0120
0220
0320
0420
05I.D
.N
ame
or D
BA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mill
s15
Flor
agon
For
Pro
d In
cM
olal
la F
or P
rod
mM
olal
la
177
177
177
177
189
189
P&
M C
edar
Ros
ebur
g47
18Fr
ank
Lum
Co
Mill
City
177
177
177
177
177
177
QV
L/Y
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&M
orga
nY
oung
&M
orga
nM
ill C
ity/L
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139
61Fr
ontie
rK
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aP
ilot R
ock
153
312
165
153
153
153
QV
L/H
anel
Han
el L
umH
ood
Riv
er21
235
Geo
rgia
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ific
Cor
pC
oos
Bay
408
408
408
472
472
472
Ros
ebur
gD
illar
d #1
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s t23
620
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rgia
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Cor
pD
iam
ond-
BP
hilo
mat
h29
530
730
734
539
639
6Tr
eeS
ourc
eW
TD (C
entra
l Pt L
umC
entra
l Pt.
142
245
Ham
pton
Affi
liate
sTi
llam
ook
Lum
Co
Tilla
moo
k51
951
956
661
463
063
0Jo
seph
Tim
Co
Jose
ph59
5916
Ham
pton
Affi
liate
sW
illam
ina
Lum
b C
oWill
amin
a77
985
093
210
6211
8012
04O
choc
o Lu
m C
oP
rinev
ille
118
5919
Mar
y's
Riv
er L
um C
oC
orva
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Phi
lom
104
104
104
104
8383
Flor
agon
For
Pro
d In
cAvi
son
Lmbr
Mol
alla
7171
31R
osbo
roM
ill "B
" S
prin
gfie
ld26
626
626
642
542
551
9C
row
n P
acifi
cP
rinev
ille
170
170
11R
SG
For
Pro
dE
stac
ada
Lum
Co
Est
acad
a35
437
818
918
918
918
9P
acifi
c W
ood
Pre
serv
Tayl
or L
um &
Tre
at C
She
ridan
201
201
12R
SG
For
Pro
dO
lym
pic
For P
rod
Mis
t40
140
140
147
254
354
3D
avid
son
Ind
Map
leto
n42
4747
476
13R
SG
For
Pro
dM
olal
la43
741
341
375
080
780
7H
ampt
on A
ffilia
tes
Fort
Hill
Lum
Gra
nd R
onde
9494
9494
5528
Sen
eca
Saw
mill
Eug
ene
838
873
873
767
767
767
Tim
ber M
ills
36S
outh
port
For P
rod
Coo
s B
ay99
9999
9999
998
Alle
n Fo
r Pro
dH
illsb
oro
5757
5757
5757
6S
timso
n Lu
m C
oFo
rest
Gro
ve66
166
166
167
569
670
957
Bur
nt R
iver
Lum
Co
Gre
at W
ood
Pro
duct
sUni
ty14
1414
1414
1430
Sun
danc
eS
prin
gfie
ld94
9410
611
311
811
824
Hul
l-Oak
esM
onro
e54
5454
5412
712
746
Sup
erio
r Lum
LLC
Sw
anso
n G
roup
Gle
ndal
e23
624
826
042
548
451
92
Stim
son
Lum
Co
Cla
tska
nie
165
165
148
148
148
148
26S
wan
son-
Sup
erio
r LL C
Sw
anso
n G
roup
Not
i28
330
730
738
951
953
121
Wey
erha
euse
r Co
Will
amet
te In
d/B
aum
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293
288
288
260
260
260
25S
wan
son
Bro
sN
oti
5252
5454
5454
27Zi
p-O
-Log
Mill
sE
ugen
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5959
5959
5951
War
m S
prin
gs F
PW
arm
Spr
ings
153
153
165
165
170
170
Stu
d M
ills
34W
eyer
haeu
ser C
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otta
ge G
rove
755
779
791
826
850
850
63B
oise
Cas
cade
Elg
in10
614
216
516
516
516
517
Wey
erha
euse
r Co
Will
amet
te In
dD
alla
s40
150
053
151
959
059
039
Dou
glas
Co
For P
rod
Win
ches
ter
425
425
448
519
519
519
32W
eyer
haeu
ser C
oW
illam
ette
Ind
Eug
ene/
cobu
rg44
446
047
947
975
575
541
DR
Joh
nson
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Co
Um
pqua
Lum
Co
Dill
ard
148
148
153
201
236
236
1W
eyer
haeu
ser C
oW
illam
ette
Ind
War
rent
on39
240
145
347
244
844
859
DR
Joh
nson
Lum
Co
Nor
th P
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r L C
Nor
th P
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r13
70
5913
713
713
7C
edar
Mill
s56
DR
Joh
nson
Lum
Co
Pra
irie
Woo
d P
rod
Pra
irie
City
264
264
264
264
264
264
38K
elle
r Lum
Co
Ros
ebur
g52
5252
5252
5264
DR
Joh
nson
Lum
Co
Wal
low
a Fo
r Pro
dW
allo
wa
113
113
113
123
142
153
Boa
rd M
ills
14Fl
orag
on F
or P
rod
IncA
viso
n Lm
brM
olal
la35
236
636
636
640
140
160
Boi
se C
asca
deLa
Gra
nde
189
189
189
189
189
189
40G
lide
Lum
Pro
d LL
CS
wan
son
Gro
upG
lide
307
307
330
330
342
342
49B
oise
Cas
cade
Med
ford
9494
9494
9494
29R
osbo
roM
ill "A
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prin
gfie
ld19
519
519
519
619
623
652
Con
solid
ated
Pin
eP
rinev
ille
4747
4747
4747
42R
oseb
urg
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ard
401
472
496
543
779
944
54D
R J
ohns
on L
um C
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rant
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tern
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118
118
118
118
118
118
47S
outh
Coa
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um
Bro
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gs28
328
314
214
216
529
550
Inte
r For
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dC
row
n P
acifi
cG
ilchr
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295
342
425
425
425
425
3S
timso
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m C
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t. H
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s26
026
026
026
028
628
648
Rou
gh&
Rea
dyC
ave
Junc
tion
149
149
149
3583
834
Stim
son
Lum
Co
Tras
k R
iv L
um C
oTi
llam
ook
156
156
165
321
321
321
58U
.S. T
imbe
rB
aker
City
118
118
118
37S
un S
tuds
LLC
Sw
anso
n G
roup
Ros
ebur
g30
733
033
033
034
234
2S
peci
alty
or U
nkno
wn
23Tr
iple
T S
tuds
Cas
cadi
a94
9494
9494
9410
Arr
owhe
ad T
im C
oC
arve
r53
5353
5353
5322
Wey
erha
euse
r Co
Will
amet
te In
dLe
bano
n10
610
614
214
216
516
543
C a
nd D
Lum
Co
Rid
dle
113
118
130
165
165
165
Dim
ensi
on M
ills
53C
ollin
s P
ine
Frem
ont
Lake
view
106
106
153
153
153
153
9A
lder
Cre
ek L
um C
oP
ortla
nd71
7171
8787
8745
Her
bert
Lum
Co
Rid
dle
4545
4545
4545
7B
anks
Lum
Co
Ban
ks16
520
124
824
829
529
555
Och
oco
Lum
Co
Mal
heur
Lum
Co
John
Day
9494
9483
7676
62B
lue
Mtn
Lum
Pro
dP
endl
eton
9292
9292
5757
33S
tarfi
re L
umC
otta
ge G
rove
7171
7171
8383
44D
R J
ohns
on L
um C
oU
mpq
ua L
um C
oR
iddl
e10
610
610
618
218
218
2S
oftw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
0520
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
1616
615
909
1550
517
046
1839
618
860
Num
ber o
f saw
mill
s75
7065
6666
64 R
epor
ted
out
put (
WW
PA
)13
988
1429
214
578
1541
6 N
umbe
r em
ploy
ed ('
000)
8.6
8.0
7.3
7.3
7.3
7.3
Im
plie
d ca
paci
ty u
tiliz
atio
n87
%90
%94
%90
%
Que
bec
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DB
ALo
catio
n20
0020
0120
0220
0320
0420
05I.D
.N
ame
or D
BA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mill
s12
Cle
rmon
d H
amel
S
t. E
phre
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e B
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9494
118
118
118
Sci
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Mai
lloux
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eLis
le50
5033
103
Dal
laire
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ri R
adem
ache
r et F
ilsS
aint
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5959
5959
5959
Abi
tibi C
onso
lidat
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cier
ie L
amon
tagn
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aint
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e78
7859
5912
9D
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r M
atag
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201
201
201
201
201
201
GD
S P
abac
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ti C
edre
sE
sprit
-Sai
nt35
3535
3522
Dom
tar
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Indu
strie
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ndin
lte e
Sai
nte
Mar
ie13
713
713
713
713
713
7C
edric
o Lu
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cB
ois
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nte
Flor
ence
153
153
153
153
130
Dom
tar
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uk F
or P
rod
Was
wan
ipi
8383
8383
8383
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ger
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cier
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acqu
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Long
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ive
212
212
212
212
16Fr
anco
is G
igue
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nte
Aur
elie
260
260
260
260
260
260
Boi
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aint
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genc
e59
5959
5952
GD
S In
dust
ries
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erie
St M
argu
rite
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nt-J
ean
4747
4747
2424
Dom
tar
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strie
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ndin
ltee
Sai
nt A
urel
ie21
221
221
221
221
292
Ger
ard
Cre
te &
Fils
Sci
erie
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uin
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re-D
ame-
de-M
onta
uba
3535
3535
3535
Sci
erie
Lat
errie
reLa
terr
iere
3512
812
812
812
819
Ger
ard
Cre
te &
Fils
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nt S
ever
in/P
roul
xvill
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120
120
123
624
824
8Te
mbe
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avid
son
Man
sfie
ld e
t Pon
tefra
ct10
610
610
610
668
3494
Ger
ard
Cre
te &
Fils
St.-
Roc
h-de
-Mek
inac
153
153
153
177
177
177
Tem
bec
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arre
260
260
260
260
276
115
91G
esto
for
43%
abi
tibi-C
ons
Sai
nt R
aym
ond
9494
9494
118
118
Tim
ber M
ills
10In
d P
aque
tS
t. Th
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ile59
5959
9497
101
2B
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ticoo
k C
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3535
3535
3535
6J
A F
onta
ine
& F
ils
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Aug
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e-de
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urn
113
113
113
113
113
113
31G
roup
e N
BG
Inc
Bow
ater
Riv
iere
-Ble
ue71
7171
7171
7130
J D
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ngLa
Sci
erie
Aim
e G
audr
eauP
ohen
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ook
201
201
201
201
201
201
70La
Sci
erie
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tel L
tee
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a14
1414
1414
1498
Jean
Rio
pel
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dore
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7480
7474
9299
Stu
d M
ills
124
Kru
ger
Sci
erie
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licha
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unay
177
177
177
177
177
177
57A
bitib
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solid
ated
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o C
orp
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e C
omea
u/P
t Out
arde
s42
542
542
542
538
538
559
Kru
ger
Sci
erie
Man
icR
ague
neau
236
319
330
330
354
307
120
Abi
tibi C
onso
lidat
edD
onoh
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ham
pneu
f16
616
616
616
616
616
695
Kru
ger
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ent
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s R
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res
307
330
330
330
330
330
128
Abi
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lidat
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ur Q
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llon/
Com
toi
342
342
342
342
342
354
68La
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Jean
Met
abet
chou
an45
4545
4545
4578
Abi
tibi C
onso
lidat
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mas
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250
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250
250
222
222
71Le
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e M
asht
euia
tsh
5959
5959
5959
117
Abi
tibi C
onso
lidat
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onoh
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enne
terr
e22
722
722
722
724
124
117
Les
Pro
duits
For
DG
Sai
nte
Aur
elie
307
330
342
342
342
342
132
Bar
ette
Cha
pais
Lte
eC
hapa
is68
468
468
468
468
468
43
Mar
cel L
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8585
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37B
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5959
2424
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Mat
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lanc
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nt-P
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026
026
026
026
026
043
Ced
rico
Lum
Inc
Sci
erie
Cau
sap
Cau
saps
cal
127
127
127
127
201
201
104
Max
Mei
lleur
& F
ilsFe
rme
Neu
ve16
516
516
518
925
726
049
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rico
Lum
Inc
Pro
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r LM
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cLa
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tre
5454
5454
5454
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5757
5757
5741
Ced
rico
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Inc
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8080
8087
8775
Sci
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ton
Mor
inM
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i24
2424
2424
2447
Den
iso
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l C
ap C
hat
5959
5947
4747
121
Sci
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drie
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Land
rienn
e19
419
419
422
426
026
035
Den
iso
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l S
aint
Mic
hel d
u S
quat
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5935
3535
3554
Sci
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Inc
Riv
ière
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tecô
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5959
5959
5929
Den
iso
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t. Jo
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5959
5935
3535
83S
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H L
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anco
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e-S
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3514
4011
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214
210
5D
omta
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rod
For.
Gat
inea
uG
rand
Rem
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212
212
212
177
177
181
66S
cier
ie S
ague
nay
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50%
Abi
t-Con
sLa
Bai
e80
103
103
103
103
103
127
Dom
tar
Lebe
l sur
Que
villo
n44
844
844
844
844
844
811
4Te
mbe
cB
earn
201
236
260
260
271
271
115
Dom
tar
Mal
artic
153
177
177
177
177
177
45Te
mre
xTe
mbe
cN
ouve
lle-O
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201
201
201
201
201
201
116
Dom
tar
Val
D'O
r26
027
127
127
127
127
146
Tem
rex
Pro
duit
For S
t. A
lpho
nse
St.-
Alp
hons
e-de
-Cap
lan
116
142
165
165
165
165
51G
DS
Boi
s G
ranv
al
Gra
nde
Val
lee
9898
9894
142
142
102
Uni
fore
t (P
erib
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)L'
Asc
ensi
on20
120
120
133
033
033
050
GD
S B
ois
Mar
soui
M
arso
ui15
315
311
811
814
214
253
Uni
fore
t (P
ort C
artie
r)P
ort C
artie
r47
247
247
237
837
837
844
GD
S In
dust
ries
Poi
nte-
à-la
-Cro
ix20
120
120
120
114
214
2C
edar
Mill
s86
Ger
ard
Cre
te &
Fils
La T
uque
118
118
118
118
118
118
107
Sci
erie
Ced
-Or I
ncM
aniw
aki
5050
5050
5050
28In
d M
aibe
c S
aint
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phile
189
212
212
212
236
236
Boa
rd M
ills
60K
ruge
rS
cier
ie H
CN
Inc
Fore
stvi
lle16
516
516
516
523
616
599
Boi
s O
meg
a Lt
eeLa
c S
uper
ieur
3535
3535
3540
133
Les
Cha
ntie
rs d
e C
hibo
gam
ou L
tee
Chi
boug
amau
472
472
472
472
472
472
112
La C
omp
Com
mon
Ply
wd
Rap
ides
des
Joa
chim
s26
2626
2626
2638
Les
Pro
duits
For
Dub
e L'
Isle
-Ver
te12
1212
3335
3511
3La
Com
p C
omm
on P
lyw
d R
ivie
re-K
ipaw
a28
2828
2828
2897
Loui
sian
a-P
acifi
c C
orp
Fore
xS
t Mic
hel d
es S
aint
s21
221
221
215
315
115
873
Pro
duits
For
Pet
it P
aris
50
% A
bit-C
ons
St.-
Ludg
er-d
e-M
ilot
189
189
201
201
224
224
39Lu
lum
coLu
cevi
lle83
8383
8383
8318
Ren
e B
erna
rd
Bea
ucev
ille-
Oue
st59
5959
5959
5912
2M
ater
iaux
Bla
nche
t A
mos
248
248
248
248
248
248
64U
sine
Sar
tigan
S
aint
Hon
ore
118
118
118
118
118
118
119
Nor
bord
-Opt
iboi
sP
reci
bois
Bar
raut
e47
4747
4747
47S
peci
alty
or U
nkno
wn
87P
rodu
its F
or L
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83%
abi
t-Con
sLa
Tuq
ue17
017
017
017
017
017
062
Abi
tibi C
onso
lidat
edD
onoh
ue/L
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auch
onP
etit
Sag
uena
y50
7177
7778
7884
Pro
duits
For
Oui
atch
ouan
Loui
sian
a-P
acifi
c C
orp
Lac
Bou
chet
te71
7171
7171
719
AD
Ber
nier
La
mbt
on71
7171
7171
7167
Pro
duits
For
Sag
uena
y in
c.C
oop
For L
ater
riere
Late
rrie
re68
6868
6868
6823
Ale
xand
re C
ote
Sco
tt-Ju
nctio
n59
5959
5959
5921
Sci
erie
Ale
xand
re L
emay
&Fi
ls
Sai
nt-B
erna
rd26
2626
2647
4755
Alm
assa
Bai
e Tr
inité
inc.
Bow
ater
Bai
e Tr
inite
8383
8383
8383
90S
cier
ie L
eDuc
Dai
show
aS
aint
Em
ile13
013
013
013
011
811
81
Arm
and
D
uham
el &
Fils
Sai
nt-Ig
nace
-de-
Sta
nbrid
g30
3030
3030
3013
1S
cier
ie O
pitc
iwan
45%
Abi
t-Con
sO
bedj
iwan
6185
8585
8585
8B
lanc
hette
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lanc
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S
aint
Ger
ard
4040
4040
4040
48S
cier
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ekan
Sai
nte
Ann
e-de
s-M
onts
3333
3333
3333
27B
ois
de S
ciag
e La
font
aine
Sai
nte-
Per
pétu
e83
8383
4747
4712
6Te
mbe
cN
exfo
rLa
Sar
re24
824
824
826
026
026
036
Bow
ater
Mét
is in
c.Fe
rnan
d B
ois
Ltee
Lac
des
Aig
les
3838
3838
3838
118
Tem
bec
Nex
for
Sen
nete
rre
319
337
337
378
378
378
13B
usqu
e&La
flam
me
Inc
Sci
erie
Jul
es L
aFla
mm
eS
t. B
enoi
t Lab
re94
9494
106
111
111
125
Tem
bec
Tasc
here
au20
820
820
822
423
623
610
1C
laud
e Fo
rget
Inc
Mon
t Tre
mbl
ant
106
106
106
106
106
106
Dim
ensi
on M
ills
93C
oop
des
Trav
aille
urs
Sai
nt T
ite52
5252
5252
5256
Abi
tibi C
onso
lidat
edD
onoh
ue/Q
uno
Cor
pB
aie
Com
eau/
Pt O
utar
des
307
307
307
307
278
278
69E
. Tre
mbl
ay &
Fils
Sai
nt B
runo
/Alm
a28
2828
2828
2813
4A
bitib
i Con
solid
ated
Don
ohue
Chi
boug
amau
330
330
330
330
359
359
14G
DS
Lin
ière
Le
s P
rod
For L
iniè
re
Sai
nt-C
ôme-
Lini
ère
4747
4747
5259
77A
bitib
i Con
solid
ated
Don
ohue
Gira
rdvi
lle34
234
234
234
234
225
032
GD
S P
abac
ed
St.
Eus
ebe
4747
4747
4747
79A
bitib
i Con
solid
ated
Don
ohue
La D
ore
297
307
307
319
373
373
85G
erar
d C
rete
& F
ilsR
ivie
re W
indi
go14
214
214
214
214
214
288
Abi
tibi C
onso
lidat
edS
tone
Con
solid
ated
La T
uque
307
307
307
307
212
212
15Ire
nee
Gro
ndin
& F
ilsS
t. Za
char
ie52
5252
5252
5282
Abi
tibi C
onso
lidat
edS
tone
Con
solid
ated
Rob
erva
l30
733
033
033
033
033
010
8Le
s E
nter
pris
es A
tlas
Low
4747
4747
4747
65A
bitib
i Con
solid
ated
Sto
ne C
onso
lidat
edS
aint
Ful
genc
e21
223
623
623
624
124
15
Les
Man
uf W
arw
ick
ltée
Sai
nt-A
ugus
tin-d
e-W
obur
n59
5959
5959
5989
Abi
tibi C
onso
lidat
edD
onoh
ue/S
cier
ie d
u G
ouffr
eS
aint
Hila
rion
116
118
130
135
135
135
7M
ultib
ois
Sai
nt-A
ugus
tin-d
e-W
obur
n52
5252
5252
5220
Ass
oc. C
oop
For d
e S
t Elz
ear
St.
Elz
ear
8383
8383
8383
4P
aul V
alle
e Lu
m C
oS
t Isi
dore
de
Clif
ton
2525
2525
3333
61B
oisa
coP
rod
For S
ague
nay
Sac
re-C
oeur
236
236
236
236
236
236
58P
rodu
it Fo
r Lab
rievi
lleLa
c au
Bro
chet
189
189
189
189
189
189
33B
owat
erP
For
Alli
ance
D
egel
is14
214
214
247
4747
72P
rodu
its F
or C
anbo
Dol
beau
118
118
118
118
260
283
76B
owat
erP
For
Alli
ance
G
irard
ville
7171
7171
7171
110
Pro
duits
For
Cou
long
e Fo
rt C
oulo
nge
1212
1212
1212
106
Bow
ater
Man
ifor
Man
iwak
i18
618
922
422
423
223
634
Ric
hard
Pel
letie
r & F
ils
Sai
nt-M
iche
l-du-
Squ
atec
2424
2424
2424
74B
owat
erP
For
Alli
ance
M
ista
ssin
i40
140
140
141
341
341
381
Rol
and
Cas
tong
uay&
Fils
Lte
eS
aint
Fel
icie
n21
2121
2121
2140
Bow
ater
P F
or A
llian
ce /S
c M
itis
Pric
e20
120
120
120
120
120
112
3S
cier
ie A
mos
Lte
eA
mos
106
106
106
106
106
106
80B
owat
erP
For
Alli
ance
S
t Fel
icie
n36
636
636
636
636
636
611
1S
cier
ie L
efeb
vre&
Pha
rand
eD
avid
son
911
1111
24C
anfo
rB
ois
Daa
quam
St J
ust d
e B
rete
nier
es26
026
026
026
026
430
496
Sci
erie
Riv
est
Sci
erie
St J
ean
Mat
haS
t. Je
an d
e M
atha
1818
1818
1818
63C
arrie
r & B
egin
Sai
nt H
onor
e 47
7183
9090
9010
9S
cier
ie T
essi
er&
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hanc
eS
aint
e E
lizab
eth
1919
1919
1919
42C
edric
o Lu
m In
cB
ois
Sau
mon
/The
riaul
t & T
heria
uLac
au
Sau
mon
153
153
153
153
153
153
11W
ilfrid
Paq
uet &
Fils
St.
Theo
phile
5252
5214
214
214
210
0C
laud
e Fo
rget
Inc.
Sci
erie
G M
Duf
our
St.
Faus
tin59
9410
610
610
610
6S
oftw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
0520
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
2003
920
633
2072
720
909
2087
720
248
Num
ber o
f saw
mill
s14
314
314
414
313
813
6 R
epor
ted
out
put (
Sta
ts C
an)
1939
518
106
2006
118
247
1874
9 N
umbe
r em
ploy
ed ('
000)
12.6
12.6
12.6
12.3
11.8
11.3
Im
plie
d ca
paci
ty u
tiliz
atio
n97
%88
%97
%87
%90
%
Sask
atch
ewan
/Man
itoba
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)I.D
.N
ame
or D
BALo
catio
n20
0020
0120
0220
0320
0420
05St
ud M
ills3
Cle
arw
ater
For
Pro
dM
eado
w L
ake
192
192
192
192
192
192
2N
orsa
sk F
or P
rod
Mea
dow
Lak
e,SA
S23
626
027
127
127
127
19
Wey
erha
euse
r Can
McM
illan
Bloe
dell
Car
rot R
iver
,SAS
156
189
189
189
189
189
Dim
ensi
on M
ills4
Gre
en L
ake
Met
isG
reen
Lak
e,SA
S24
4747
4747
471
L&M
Pro
dG
lasl
yn ,S
AS24
1219
2424
2414
Sout
h Ea
st F
or P
rod
Blum
enor
t,MAN
2828
2828
2828
12Sp
ruce
Pro
d Lt
dSw
an R
iver
,MAN
7171
7883
9090
10To
lko
The
Pas,
MAN
319
354
437
437
472
472
6W
apaw
ekka
Lum
Ltd
Buck
land
,SAS
142
170
170
170
8585
11W
augh
's W
oods
Ltd
The
Pas,
MAN
1414
1414
1414
5W
eyer
haeu
ser C
anBi
g R
iver
Lum
Big
Riv
er,S
AS21
730
650
757
857
857
88
Zele
nsky
-LaR
onge
LaR
onge
,SAS
4848
4848
4848
Spec
ialty
or U
nkno
wn
7Pr
ovin
cial
For
Pro
dPr
ince
Alb
ert,S
AS14
1414
1414
1413
Rob
lin F
or P
rod
Rob
lin8
88
88
8
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
1492
1713
2023
2104
2061
2061
Pro
duct
ion
(Sta
ts C
an)
1499
1323
1692
1598
1821
Im
plie
d ca
paci
ty u
tiliz
atio
n10
0%77
%84
%76
%88
% N
umbe
r of s
awm
ills14
1414
1414
14 N
umbe
r em
ploy
ed ('
000)
1.0
1.0
1.0
1.0
1.0
1.0
Sout
h C
arol
ina
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)I.D
.N
ame
or D
BA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mill
sS
mur
fit S
tone
Sto
ne F
or In
dO
rang
ebur
g13
0U
pchu
rch
Wal
terb
oro
1111
B. L
. Mim
s &
Son
Lum
Co
Edg
efie
ld15
15D
icke
rt Lu
m C
oN
ewbe
rry
3838
Geo
rgia
-Pac
ific
Cor
pV
arnv
ille
170
170
Um
phle
tt Lu
m C
oM
onck
s C
orne
r57
5757
5757
Tim
ber M
ills
4G
&G
/Che
roke
e W
d P
rod
Edw
ards
Woo
d P
rodu
cts
IncB
lack
sbur
g46
4632
3228
4312
M.L
. Cor
ley&
Son
s S
awm
illLe
ton
5959
7171
5959
Stu
d M
ills
5C
hest
er W
ood
Pro
dW
eyer
haeu
ser C
oC
hest
er45
9210
611
811
811
820
Geo
rgia
-Pac
ific
Cor
pR
usse
llvill
e17
017
017
017
017
017
06
Inte
rnat
iona
l Pap
Cor
pFe
dera
l Pap
bdN
ewbe
rry
307
330
330
330
330
330
Dim
ensi
on M
ills
16C
harle
s In
gram
Lum
Co
Effi
ngha
m10
612
314
415
318
420
515
Che
ster
field
Lum
Co
Dar
lingt
on18
918
918
918
923
823
825
Coa
stal
Lum
Co
Wal
terb
oro
4747
4747
4747
27C
ollu
ms
Lum
Pro
d A
llend
ale
142
142
180
278
330
354
28E
lliot
t Saw
mill
ing
Co
Est
ill12
223
626
127
127
127
19
Geo
rgia
-Pac
ific
Cor
pM
cCor
mic
k14
914
211
811
811
811
87
Geo
rgia
-Pac
ific
Cor
pP
rosp
erity
201
201
212
201
212
212
10In
tern
atio
nal P
ap C
orp
Fede
ral P
apbd
John
ston
142
142
106
106
106
106
18In
tern
atio
nal P
ap C
orp
Sam
pit
201
260
260
260
260
260
24M
ead
Wes
tvac
oS
umm
ervi
lle21
021
021
522
122
122
113
New
Sou
th
Cam
den
319
319
354
378
378
378
17N
ew S
outh
C
onw
ay27
127
128
330
730
730
7B
oard
Mill
s19
Cha
rlest
on H
eartp
ine
Co
Jam
esto
wn
66
66
66
26W
arre
n &
Grif
fin
Will
iam
s35
3535
3526
26S
peci
alty
or U
nkno
wn
8A
& M
Lum
E
ck W
ood
Pro
duct
sH
odge
s24
2424
2424
2421
Cam
eron
Lum
Co
Cam
eron
2828
2828
2828
14C
. M. T
ucke
r Lum
Co
Pag
elan
d57
5757
5757
573
F. B
. Dav
is S
awm
illR
ichl
and
1111
1111
1111
23P
enni
ngto
n C
ross
arm
Co
Hol
ly H
ill30
3030
3030
3011
Rid
ge L
um
Lees
ville
1414
1414
1414
2Th
rift B
roth
ers
Lum
Co
Wes
tmin
ster
1818
1818
1818
22V
. P. K
iser
Lum
Co
Bow
man
2121
2121
2121
1W
inch
este
r Bro
ther
sS
alem
1719
2224
2424
Sof
twoo
d lu
mbe
r (1,
000
m³)
2000
2001
2002
2003
2004
2005
Est
imat
ed c
apac
ity34
0435
3034
0135
7436
9336
96 P
rodu
ctio
n (U
.S. C
ensu
s)29
1029
5033
1331
01 I
mpl
ied
capa
city
util
izat
ion
85%
84%
97%
87%
Num
ber o
f saw
mill
s34
3329
2929
28 N
umbe
r em
ploy
ed ('
000)
2.5
2.3
2.1
2.2
2.4
2.3
Tenn
esse
eM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Spec
ialty
or U
nkno
wn
4C
onas
auga
Riv
Lum
Co
Con
asau
ga9
99
99
93
East
Bra
iner
d Lu
m C
oC
hatta
noog
a35
2424
2424
245
Lynn
Saw
mill
Tellic
o Pl
ains
77
77
77
1R
eplo
gle
Ente
rpris
esH
enry
77
77
77
2R
ose
& So
nC
ross
ville
99
99
99
6Sh
oun
Lum
LLC
Butle
r17
1717
1717
17
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
8473
7373
7373
Pro
duct
ion
(U.S
. Cen
sus)
9485
7176
Im
plie
d ca
paci
ty u
tiliz
atio
n11
2%11
7%97
%10
4% N
umbe
r of s
awm
ills6
66
66
6 N
umbe
r em
ploy
ed ('
000)
0.2
0.2
0.2
0.2
0.2
0.2
Texa
sM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
Dea
n Lu
m C
oG
ilmer
57W
alke
r Bro
s Lu
m C
oH
unts
ville
83A.
H. F
orry
Pro
d W
illis
2424
Wie
rgat
e Lu
m C
oW
ierg
ate
4747
Loui
sian
a-Pa
cific
Cor
pBo
n W
ier
8383
Loui
sian
a-Pa
cific
Cor
pJa
sper
9494
Mou
ntai
n M
an
Willi
s8
88
8Ti
mbe
r Mills
20So
uthe
rn F
or P
rod
Hug
hes
Saw
mill
Bon
Wie
r42
4242
4239
38St
ud M
ills23
Geo
rgia
-Pac
ific
Cor
pLo
uisi
ana-
Paci
fic C
orp
Cle
vela
nd11
813
013
015
315
315
312
Tem
ple-
Inla
ndPi
nela
nd21
221
221
223
624
824
8D
imen
sion
Mills
2An
thon
y Fo
r Pro
dAt
lant
a16
016
516
516
517
717
716
Atch
ley
Lum
& S
up C
oTr
inity
3131
3131
3131
8C
al-T
ex L
um C
oN
acog
doch
es21
221
222
224
124
124
19
Cle
msa
Lum
Co
Ham
pton
Affi
liate
sPo
llok
118
118
125
170
186
189
22C
LW
Cle
vela
nd47
4747
4747
4718
CLW
Li
ving
ston
4747
4747
4747
24C
LW
Duk
e C
ity L
um C
o.Sp
lend
ora
7447
4747
4747
15In
tern
atio
nal P
ap C
orp
Cha
mpi
onC
amde
n38
238
238
238
238
238
24
Inte
rnat
iona
l Pap
Cor
pH
ende
rson
212
295
295
307
307
307
1In
tern
atio
nal P
ap C
orp
New
Bos
ton
271
330
342
342
342
342
17St
eely
Lum
Co
Hun
tsvi
lle40
4040
4083
9421
Tem
ple-
Inla
ndBu
na37
837
835
436
637
337
310
Tem
ple-
Inla
ndD
ibol
l34
234
234
237
837
837
811
Tem
ple-
Inla
ndPi
nela
nd59
354
413
413
472
Boar
d M
ills5
Arka
nsas
For
Pro
d Te
naha
5959
5959
5959
14H
art L
um C
oJa
sper
35
3535
3535
357
Nix
For
Ind
Tim
pson
3535
4252
5252
3Sn
ider
Ind
Mar
shal
l10
610
610
610
610
610
6Sp
ecia
lty o
r Unk
now
n19
Eas-
Tex
Lum
Co
Livi
ngst
on9
99
99
913
G. D
. Edg
ar L
um C
oH
emph
ill13
1313
1313
136
Ros
s Lu
m C
oTi
mps
on17
1717
1717
17So
ftwoo
d lu
mbe
r (1,
000
m³)
2000
2001
2002
2003
2004
2005
Est
imat
ed c
apac
ity33
5934
1034
6937
0837
8638
58 P
rodu
ctio
n (U
.S. C
ensu
s)32
8030
4732
4534
81 I
mpl
ied
capa
city
util
izat
ion
98%
89%
94%
94%
Num
ber o
f saw
mills
3029
2525
2424
Num
ber e
mpl
oyed
('00
0)2.
32.
32.
02.
12.
02.
0
New
Ham
pshi
re/V
erm
ont
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³ )M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mills
21C
hero
kee
Lum
Co
New
port,
NH
77
77
77
Tree
Sour
ceBu
rke
Lum
Co
Wes
t Bur
ke,V
T59
16C
olby
Lum
Co
Bosc
awen
,NH
99
99
99
Feue
r Lum
Co
Atki
nson
,NH
922
Cot
e &
Ren
ey L
um C
oG
rant
ham
,NH
1212
1212
1212
Pelle
tier L
um C
orp
Har
dwic
k,VT
2020
12C
rest
woo
ds In
cBe
aman
Lum
Co
Win
ches
ter,N
H24
2424
2424
24Th
ree
Bran
ches
Pl
aist
ow,N
H26
263
Cyr
Lum
Milt
on, V
T9
99
912
12St
inso
nR
umne
y, N
H7
77
20D
urgi
n-C
row
ell L
um C
oN
ew L
ondo
n,N
H61
6161
6466
66M
.S.K
. Lum
Co
East
Kin
gsto
n,N
H7
77
14Fe
rnal
d Lu
m C
oN
ottin
gham
,NH
88
88
88
Goo
se B
ay S
awm
ill C
hich
este
r,NH
99
918
Gra
nite
Sta
te F
or P
rod
Hen
nike
r,NH
3131
3131
3131
Onn
ela
Lum
Co
Lem
pest
er,N
H12
1212
7G
reen
woo
d M
illC
alen
dar B
rook
Lum
Lynd
onvi
lle, V
T8
88
88
9Bi
ngha
m L
um
Broo
klin
e,N
H19
1919
195
Hea
th L
umN
orth
Hyd
e Pa
rk, V
55
55
55
Tim
co In
cD
esot
o Tr
eate
d M
Cen
ter B
arns
tead
,N33
3340
2028
H.G
. Woo
d Pr
od
Bath
,NH
2121
2121
2424
Tem
bec
Scie
rie D
avid
son
Woo
dsvi
lle,N
H47
4771
4724
King
For
Ind
Wen
twor
th,N
H59
5959
5959
59Ti
mbe
r Mills
4La
mel
l Lum
Cor
pEs
sex
Junc
tion,
VT21
2121
2121
2129
Perra
s Lu
m C
oG
rove
ton,
NH
1717
1717
1717
1Lu
ssie
r's S
awm
illEn
osbu
rg F
alls
, VT
77
77
77
Dim
ensi
on M
ills2
M P
iette
& S
ons
Irasb
urg,
VT
66
66
66
30Va
llee
Lum
Co
Mila
n,N
H83
8383
8328
2427
Mad
ison
Lum
Mill
Inte
rnat
iona
l Pap
Cor
pWes
t Oss
ipee
,NH
8383
8394
111
111
Whi
te P
ine
Mills
19M
iddl
eton
Bld
g Su
pM
iddl
eton
,NH
3535
3535
3535
15Ba
rton
Lum
Co
Barn
stea
d,N
H7
77
77
710
Mill
Riv
er L
umN
. Cla
rend
on,V
T35
3535
3535
3526
Bellin
gham
Lum
CoC
hoco
rua
Valle
y LS
outh
Tam
wor
th,N
H18
1818
1818
1817
Pate
naud
e Lu
m C
oH
enni
ker,N
H12
1212
1212
128
Britt
on L
um C
oFa
irlee
,VT
2424
2424
2424
25Pr
ecis
ion
Lum
Wen
twor
th,N
H28
2828
2828
2811
Cer
sosi
mo
Lum
Co
Brat
tlebo
ro,V
T62
6262
6262
626
P&R
Lum
Wol
cott,
VT
55
55
55
23C
erso
sim
o Lu
m C
oW
Leb
anon
, NH
1212
1212
1212
13Se
acoa
st M
ills
Bren
twoo
d,N
H7
77
77
79
Verm
ont L
og B
uild
ings
Har
tland
, VT
99
99
99
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
0520
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
972
904
889
824
707
704
Num
ber o
f saw
mills
4139
3733
3030
Pro
duct
ion
(U.S
. Cen
sus)
873
677
703
581
Num
ber e
mpl
oyed
('00
0)1.
51.
41.
41.
31.
11.
1 I
mpl
ied
capa
city
util
izat
ion
90%
75%
79%
70%
Virg
inia
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DB
ALo
catio
n20
0020
0120
0220
0320
0420
05I.D
.N
ame
or D
BA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mill
s9
Car
lton
& E
dwar
ds
Sal
uda
1919
1919
1212
Sm
urfit
t Sto
neS
t. La
uren
t Pap
b dW
est P
oint
5959
14K
irk L
um C
oS
uffo
lk5
55
55
5C
oast
al L
um C
oS
uffo
lk52
5224
23M
orga
n Lu
m C
oR
ed O
ak50
5050
5061
61Tr
adew
inds
of V
irgin
iaB
umpa
ss59
5959
32M
. Ken
dall
Lum
Co
Bla
irs21
2121
215
5E
vans
Lum
Co
Wav
erly
5959
5924
11P
otom
ac S
up C
orp
Kin
sale
3737
370
3737
Dal
ton
Lum
Cor
pA
ltavi
sta
77
44
1R
. A. Y
ance
y Lu
m C
orp
Cro
zet
7979
7979
7979
Nor
ther
n N
eck
Lum
Co
War
saw
55
55
33S
aund
ers
Lum
Co
Cha
tham
55
55
55
Dix
on L
um C
oG
alax
1717
1717
8W
est P
t Log
ging
Cor
pW
est P
oint
99
99
99
Geo
rgia
-Pac
ific
Cor
pW
akef
ield
8585
7638
Spe
cial
ty o
r Unk
now
nR
appa
hann
ock
Lum
Co
Sal
uda
77
77
726
Ada
ms
Lum
Co
Bro
okne
al9
99
99
9Ti
mbe
r Mill
s17
And
erso
n B
ros
Lum
Co
Am
elia
99
66
66
19A
rbor
Tech
Bla
ckst
one
106
165
183
194
194
7B
all L
um C
oM
iller
s Ta
vern
1818
1818
4247
2C
hips
Tr
oy83
8383
8385
8531
Clo
verd
ale
Lum
Co
Sut
herli
n14
1414
1414
1430
Gib
son
Lum
Co
Gre
tna
2828
1717
1717
34D
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ion
For P
rod
Mar
tinsv
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55
55
55
12J.
Fra
nklin
Jon
es L
um C
oA
ccom
ac21
2121
2121
2110
Ear
l With
ers
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55
88
88
29R
ober
tson
Lum
H
urt
99
99
1212
28G
lady
s Ti
m P
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russ
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lady
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99
95
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imen
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s24
J. D
. Mar
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um C
oS
pout
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66
66
66
16A
mel
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um C
oA
mel
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2826
2828
285
J. H
. Kni
ghto
n Lu
m C
oR
uthe
r Gle
n14
1414
1414
144
Flip
po L
um C
orp
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wel
l57
7179
8080
8013
Kem
psvi
lle B
ldg
Mat
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c h12
1212
1212
1215
Inte
rnat
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l Pap
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p C
orpF
rank
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529
529
529
529
529
522
Spa
uldi
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um C
oC
hase
City
2121
2121
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8383
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1717
1717
1735
Pin
e P
rod
Inc
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9499
9999
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27Tu
cker
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mill
Co
Bro
okne
al6
66
66
66
Tide
wat
er L
um C
orp
Tapp
ahan
nock
3535
3535
3535
3W
alto
n Lu
m C
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2424
2424
24B
oard
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s25
Will
iam
s Lu
m S
up C
oB
rook
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66
66
66
21B
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anuf
actu
ring
Co
Ken
brid
ge24
2424
2424
24
Sof
twoo
d lu
mbe
r (1,
000
m³)
2000
2001
2002
2003
2004
2005
2000
2001
2002
2003
2004
2005
Est
imat
ed c
apac
ity15
0116
3115
8414
1313
8713
85 N
umbe
r of s
awm
ills
4344
4340
3635
Pro
duct
ion
(U.S
. Cen
sus)
1657
1720
1551
1543
Num
ber e
mpl
oyed
('00
0)1.
41.
51.
41.
31.
21.
2 I
mpl
ied
capa
city
util
izat
ion
110%
105%
98%
109%
Was
hing
ton
Mill
Form
er n
ame
Cap
acity
/ Pr
oduc
tion
(1,0
00 m
³)M
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DB
ALo
catio
n20
0020
0120
0220
0320
0420
05I.D
.N
ame
or D
BA
Loca
tion
2000
2001
2002
2003
2004
2005
Clo
sed
Mill
s1
Por
tac
Bea
ver
260
271
307
307
333
333
Qua
lity
Ven
eer &
Lu m
May
r Bro
sH
oqui
am71
34P
orta
c Ta
com
a22
422
422
423
626
126
1E
nter
pris
e Lb
rA
rling
ton
8521
RS
G F
or P
rod
Kal
ama
208
218
437
543
543
543
Wel
co L
um C
oA
rling
ton
142
36S
eattl
e-S
noho
mis
hS
noho
mis
h34
935
436
637
840
140
1S
imps
on T
im C
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ence
men
t Ba y
Taco
ma
271
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744
870
870
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566
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931
933
047
247
247
2Tr
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Woo
lley
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ro W
oolle
y12
312
311
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pson
Tim
Co
She
lton
578
578
590
649
649
649
Tree
Sou
rce
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naw
ayS
pana
way
189
215
143
33S
imps
on T
im C
oC
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ence
men
t BTa
com
a33
056
685
011
0911
09V
aage
n B
ros
Rep
ublic
189
189
189
14Tr
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ourc
eTu
mw
ater
Lum
coT
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ater
194
194
201
201
236
260
Pac
ific
Cre
st L
um C
oW
inlo
ck38
4747
949
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gen
Bro
sC
olvi
lle28
334
234
230
731
931
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ser C
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num
claw
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951
951
910
89
Wey
erha
euse
r Co
Abe
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763
763
767
373
273
2Fr
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Cas
cade
Yak
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215
215
212
212
212
4416
Wey
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Long
view
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t n59
059
059
966
170
880
2Ti
mbe
r Mill
s15
Wey
erha
euse
r Co
Ray
mon
d44
844
845
145
142
542
537
Bus
e Tb
r. S
ales
Eve
rett
184
184
184
201
202
202
26W
ilkin
s K
aise
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enC
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419
620
729
530
730
738
Can
yon
Lum
Co
Eve
rett
4752
5252
5252
29Y
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r Pro
dW
hite
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an14
214
227
242
544
844
823
Ham
blet
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ros
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4242
4242
4245
Zose
l Lum
Co
Oro
ville
38
3838
3842
5250
Spr
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ale
Lum
Co
Spr
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ale
4545
4545
3535
Ced
ar M
ills
Stu
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ills
19C
affa
l Bro
sLo
ngvi
ew11
811
822
426
026
026
03
Alle
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7171
7171
7171
5C
rane
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Ced
arA
man
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k26
2626
2626
2617
Cen
tralia
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mill
Co
Cen
tralia
120
RS
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rod
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a17
717
717
719
894
9424
Ham
pton
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liate
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ac L
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p M
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835
444
643
743
743
725
Tuba
for M
illM
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410
410
420
124
528
627
Ham
pton
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liate
sP
ac L
um&
Shi
p R
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437
855
559
960
460
413
Wel
co-S
kook
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n Lu
m S
ale s
She
lton
7171
7171
7171
40In
ter F
or P
rod
Cro
wn
Pac
ific
Mar
ysvi
lle10
610
694
7199
9939
Wel
co L
um C
oM
arys
ville
177
177
177
189
189
189
2In
ter F
or P
rod
Cro
wn
Pac
ific
Por
t Ang
eles
295
295
295
295
295
295
Boa
rd M
ills
18Le
wis
Cou
nty
For P
rod
Win
lock
146
319
472
47B
oise
Cas
cade
Ket
tle F
alls
177
177
177
177
177
177
4M
ary'
s R
iver
Lum
Co
Mon
tesa
no10
410
410
410
410
410
444
Col
ville
Pre
cisi
on P
nO
mak
156
156
196
196
196
196
10M
ason
Cou
nty
For P
Oly
mpi
c W
ood
Pro
dS
helto
n11
848
Stim
son
Lum
Co
Plu
m C
reek
Mfg
Col
ville
/Ard
en19
619
619
617
617
617
632
Pon
y Lu
m L
LCLo
uisi
ana-
Pac
ific
CoT
acom
a11
815
316
516
518
923
6S
peci
alty
or U
nkno
wn
28S
DS
Lum
Bin
gen
106
106
132
132
177
189
22C
olum
bia
Vis
taC
ham
pion
Int
Cam
as94
9411
811
811
811
86
Sie
rra
Pac
ific
Ind
Abe
rdee
n 11
88
Dah
lstro
m
Hoq
uiam
2424
2424
2424
Dim
ensi
on M
ills
35Fr
itsch
Mill
Sno
hom
ish
1217
1717
1717
51B
enne
tt Lu
m C
oC
lark
ston
8989
177
177
177
177
41G
reat
Wes
tern
Eve
rson
5959
5959
7883
42H
ampt
on A
ffilia
tes
Sum
mit
Tim
Co
Dar
ringt
on28
833
028
342
550
050
330
Laym
an L
um C
oN
ache
s80
8080
8080
8043
Long
view
Fib
re
Leav
enw
orth
224
224
224
236
236
236
46S
SF
Bld
g M
atN
orth
port
3535
3535
3535
31M
anke
Lum
Taco
ma
369
369
369
369
369
369
Sof
twoo
d lu
mbe
r (1,
000
m³)
2000
2001
2002
2003
2004
2005
2000
2001
2002
2003
2004
2005
Est
imat
ed c
apac
ity10
704
1066
811
603
1265
313
598
1405
3 N
umbe
r of s
awm
ills
5653
5251
4952
Rep
orte
d o
utpu
t (W
WP
A)
1034
610
047
1091
511
559
Num
ber e
mpl
oyed
('00
0)6.
36.
16.
06.
05.
85.
9 I
mpl
ied
capa
city
util
izat
ion
97%
94%
94%
91%
Wis
cons
inM
illFo
rmer
nam
eC
apac
ity /
Prod
uctio
n (1
,000
m³)
I.D.
Nam
eor
DBA
Loca
tion
2000
2001
2002
2003
2004
2005
Tim
ber M
ills8
Wol
f Saw
mill
Spen
cer
88
88
88
Dim
ensi
on M
ills4
John
A. B
iew
er L
um C
oPr
entic
e10
610
611
813
013
013
02
Nag
el L
um C
oAs
pen
Valle
y Lu
m C
oLa
nd O
'Lak
es94
9494
9494
943
Puka
ll Lu
m C
oW
oodr
uff
3131
3131
3131
9R
alph
Ham
el F
or P
rod
Vesp
er47
4747
4747
47Bo
ard
Mills
1Is
akss
on L
um C
oH
erbs
ter
66
66
66
7M
enom
inee
Trib
al E
ntN
eopi
t33
3333
3333
335
Nic
olet
Lum
Co
Laon
a7
77
75
5Sp
ecia
lty o
r Unk
now
n6
Kret
z Lu
m C
oAn
tigo
2424
2424
2424
10O
rt Lu
m
New
Lon
don
2828
2828
2828
Softw
ood
lum
ber (
1,00
0 m
³)20
0020
0120
0220
0320
0420
05 E
stim
ated
cap
acity
384
384
396
408
405
405
Pro
duct
ion
(Cen
sus)
234
212
231
227
Im
plie
d ca
paci
ty u
tiliz
atio
n61
%55
%58
%56
% N
umbe
r of s
awm
ills10
1010
1010
10 N
umbe
r em
ploy
ed ('
000)
0.7
0.7
0.7
0.7
0.7
0.7