profile 2005: softwood sawmills in the united states and canada · 2018. 8. 17. · surement of...

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.

Research Paper FPL-RP-630

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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).

Profile 2005: Softwood Sawmills in the United States and Canada

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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.


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.


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).


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.


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.


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.


13

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).


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


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


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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

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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

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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

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e Ti

mLo

dgep

ole

2121

2121

2121

20Ti

meu

For

Pro

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d M

illw

orks

Fort

Ass

inib

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8383

8383

8383

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ills

1To

lko

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show

aH

igh

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l59

062

562

863

765

477

915

Alb

erta

Ply

woo

d Lt

dS

lave

Lak

e83

8383

8383

8316

Van

derw

ell

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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

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e71

7171

7171

7133

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6666

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31W

est F

rase

r Tim

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Sun

pine

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dre

448

460

510

510

597

602

11B

ouch

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pa61

6161

6199

101

24W

est F

rase

r Tim

Co

Blu

e R

idge

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urt

590

590

623

644

682

684

14B

ucha

nan

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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

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829

729

729

774

297

13W

eyer

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anG

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e P

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852

952

952

967

575

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Can

For

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irie

437

472

491

503

555

562

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cial

ty o

r Unk

now

n18

Ed

Bob

ocel

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iche

2828

2828

3535

3E

verg

reen

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1919

1919

1919

2La

Cre

te S

awm

ills

LaC

rete

9411

311

311

311

311

330

Han

sen

For P

rod

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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

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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

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6Fo

rt Ap

ache

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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

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as

1616

1616

1616

3Fa

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mill

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142

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mas

30

3028

77

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2447

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1919

1919

19

Softw

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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

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6% N

umbe

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119

99

8 N

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ploy

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0.8

0.7

0.7

0.7

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Ark

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ity /

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Form

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ame

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acity

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BALo

catio

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0020

0120

0220

0320

0420

05I.D

.N

ame

or D

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catio

n20

0020

0120

0220

0320

0420

05C

lose

d M

ills16

Inte

rnat

iona

l Pap

Cor

pLe

ola

224

401

401

401

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401

Inte

rnat

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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

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ific

Cor

pC

ross

ett

165

165

165

165

165

165

4U

S Ti

m C

o So

uth

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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

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e23

2323

18St

uart

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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

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ills52

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t Fra

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im C

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316

035

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060

260

21

Can

For

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rt N

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718

620

128

326

012

714

Wes

t Fra

ser T

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on F

or P

rod

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614

625

696

696

732

732

30C

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231

234

234

734

734

717

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t Fra

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apLe

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k56

656

656

680

282

682

644

Car

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um L

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For

PAn

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e22

222

222

225

025

025

039

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t Fra

ser T

im C

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snel

295

295

314

314

382

382

40M

cBrid

e Fo

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5151

5152

5237

Wes

t Fra

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el72

073

279

586

889

212

2722

Sinc

lair

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mes

271

260

260

290

330

330

12W

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350

552

962

368

468

423

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358

368

368

396

396

396

10W

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r Tim

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na C

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918

918

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191

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31Si

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rge

295

295

295

316

316

316

46W

est F

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r Tim

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ams

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389

389

465

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238

538

554

859

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170

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354

484

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72W

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337

345

345

361

552

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Dim

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solid

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57As

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177

177

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182

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5757

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531

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273

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566

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2910

3810

3813

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2168

Para

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6868

6824

Can

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389

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566

581

637

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420

425

425

425

543

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71G

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722

726

028

330

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77

Can

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566

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476

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265

168

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076

782

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Ardr

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5010

810

810

812

712

789

Can

For

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pr.

283

283

283

378

378

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38C

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5757

6464

6451

Can

For

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144

145

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551

959

542

NW

Spe

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ty L

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212

236

236

236

189

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373

373

623

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60D

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512

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516

517

517

526

Car

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396

396

396

413

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63Fe

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203

203

203

203

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283

34D

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FSJ

All N

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2828

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590

614

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2323

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86G

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512

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280

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7171

6161

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113

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113

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00

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307

330

354

401

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566

54Ly

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132

170

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146

5931

79Po

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4745

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664

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3434

3442

4242

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623

644

647

647

647

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6868

6868

6883

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Box

& L

umW

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el40

4040

8383

83So

ftwoo

d lu

mbe

r (1,

000

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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

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awm

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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

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mpl

ied

capa

city

util

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ion

94%

88%

99%

94%

Brit

ish

Col

umbi

a - C

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Mill

Form

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ame

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acity

/ Pr

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(1,0

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nam

eC

apac

ity /

Prod

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n (1

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I.D.

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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

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kin

4040

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113

113

125

125

125

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319

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ta96

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7930

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2020

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20D

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4747

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142

17G

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9191

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71W

eyer

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ser C

anM

cMilla

n Bl

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h Pi

ne)

295

295

5929

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r For

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ll/BC

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amm

ond/

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le R

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236

636

636

640

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109

113

113

14M

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m P

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015

315

317

017

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212

224

224

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227

236

236

236

340

340

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tern

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396

396

396

396

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118

118

124

124

124

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113

142

142

142

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3Tw

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5757

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422

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429

533

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823

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823

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342

342

342

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315

315

313

213

213

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319

319

319

319

330

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153

153

153

153

153

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2D

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234

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236

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271

283

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547

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034

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717

717

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210

210

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172

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396

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453

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453

453

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140

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1,00

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0220

0320

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0520

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cap

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8186

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3940

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8053

7450

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0120

0220

0320

0420

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314

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9418

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307

307

307

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Blue

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142

142

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621

521

41

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271

109

142

153

153

Men

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no F

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a-Pa

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pFor

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gg16

594

9459

11Si

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ific

Ind

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330

330

387

408

413

413

Paci

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um C

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l-Ovi

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8383

619

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ra P

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c In

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307

307

333

375

396

404

Cal

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149

149

149

149

4Si

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Mic

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n-C

alifo

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Cam

ino

283

283

269

283

283

283

Paci

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arlo

tta22

422

422

422

412

2Si

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ific

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Chi

nese

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p24

824

824

424

424

424

4Si

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ific

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nville

260

260

227

236

595

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ra P

acifi

c In

dLi

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n56

656

658

358

860

760

7Pa

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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

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tsbu

rn, N

S10

614

214

214

216

526

031

M L

Wilk

ins&

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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

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nta

77

77

77

7G

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latt

& S

ons

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tdal

e18

1818

1818

1819

L J

Val

ente

, Inc

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veril

l Par

k5

55

55

518

Ryn

ard

G. G

undr

um L

umG

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n7

77

77

76

Spi

nk L

umC

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n7

77

77

720

Urr

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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

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hest

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wn

77

77

77

12C

ornw

right

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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

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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

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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

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m10

1010

541

Lam

pe&M

alph

rus

Lum

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Smith

field

4771

8383

9710

9M

eban

e Lu

m C

oM

eban

e73

7378

978

1Pa

rton

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Rut

herfo

rdto

n94

9494

9494

94H

illsvi

lle L

um C

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inity

88

88

818

Ran

dlem

an L

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andl

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97

712

1212

Youn

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ph L

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o19

1919

1919

4Sa

le L

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. Wilk

esbo

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77

711

11W

ater

s Lu

m C

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stic

1919

1919

1945

War

d Lu

m C

oEl

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etht

own

2424

2424

2424

King

Lum

Co

Seag

rove

2424

2424

2436

War

mac

k Lu

m C

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ove

City

88

88

88

Tim

ber M

illsSp

ecia

lty o

r Unk

now

n5

G &

G L

um C

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nion

Gro

ve42

4242

4242

4222

Apex

Lum

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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

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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

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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.

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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

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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

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a11

816

517

517

518

918

94

Man

itou

Lum

Co

Em

o14

1414

1412

919

Tem

bec

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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

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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

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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

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

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18Fr

ank

Lum

Co

Mill

City

177

177

177

177

177

177

QV

L/Y

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orga

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oung

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orga

nM

ill C

ity/L

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139

61Fr

ontie

rK

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ock

153

312

165

153

153

153

QV

L/H

anel

Han

el L

umH

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Riv

er21

235

Geo

rgia

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ific

Cor

pC

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Bay

408

408

408

472

472

472

Ros

ebur

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illar

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s t23

620

Geo

rgia

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Cor

pD

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BP

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mat

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530

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734

539

639

6Tr

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142

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pton

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951

956

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5916

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a77

985

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6211

8012

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118

5919

Mar

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104

104

104

104

8383

Flor

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For

Pro

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7171

31R

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ill "B

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626

626

642

542

551

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170

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11R

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437

818

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918

918

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201

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140

140

147

254

354

3D

avid

son

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Map

leto

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4747

476

13R

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dM

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741

341

375

080

780

7H

ampt

on A

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9494

9494

5528

Sen

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mill

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873

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767

767

767

Tim

ber M

ills

36S

outh

port

For P

rod

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ay99

9999

9999

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n Fo

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dH

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5757

5757

5757

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timso

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rest

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166

166

167

569

670

957

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ty14

1414

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1430

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prin

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9410

611

311

811

824

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5454

5412

712

746

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624

826

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92

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165

165

148

148

148

148

26S

wan

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i28

330

730

738

951

953

121

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293

288

288

260

260

260

25S

wan

son

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5252

5454

5454

27Zi

p-O

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Mill

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ugen

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5959

5959

5951

War

m S

prin

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arm

Spr

ings

153

153

165

165

170

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Stu

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34W

eyer

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755

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826

850

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63B

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614

216

516

516

516

517

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Will

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150

053

151

959

059

039

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425

425

448

519

519

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32W

eyer

haeu

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Ind

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cobu

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446

047

947

975

575

541

DR

Joh

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148

148

153

201

236

236

1W

eyer

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240

145

347

244

844

859

DR

Joh

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th P

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70

5913

713

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7C

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Mill

s56

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nson

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264

264

264

264

264

264

38K

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5252

5252

5264

DR

Joh

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allo

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113

113

113

123

142

153

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ills

14Fl

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viso

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236

636

636

640

140

160

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189

189

189

189

189

189

40G

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307

307

330

330

342

342

49B

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ford

9494

9494

9494

29R

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ill "A

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519

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619

623

652

Con

solid

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4747

4747

4747

42R

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496

543

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944

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118

118

118

118

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314

214

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529

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834

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156

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165

321

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58U

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118

118

118

37S

un S

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733

033

033

034

234

2S

peci

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nkno

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23Tr

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T S

tuds

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cadi

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9494

9494

9410

Arr

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ad T

im C

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arve

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5353

5353

5322

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amet

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n10

610

614

214

216

516

543

C a

nd D

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113

118

130

165

165

165

Dim

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53C

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106

106

153

153

153

153

9A

lder

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7171

8787

8745

Her

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4545

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4545

7B

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124

824

829

529

555

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Day

9494

9483

7676

62B

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9292

9292

5757

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7171

7171

8383

44D

R J

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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

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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

s12

Cle

rmon

d H

amel

S

t. E

phre

m d

e B

eauc

e47

9494

118

118

118

Sci

erie

Mai

lloux

D

eLis

le50

5033

103

Dal

laire

Hen

ri R

adem

ache

r et F

ilsS

aint

e-V

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ique

5959

5959

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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

xing

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

omin

ion

For P

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ring

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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

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4344

4340

3635

Pro

duct

ion

(U.S

. Cen

sus)

1657

1720

1551

1543

Num

ber e

mpl

oyed

('00

0)1.

41.

51.

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31.

21.

2 I

mpl

ied

capa

city

util

izat

ion

110%

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Was

hing

ton

Mill

Form

er n

ame

Cap

acity

/ Pr

oduc

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(1,0

00 m

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Prod

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catio

n20

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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

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com

a22

422

422

423

626

126

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pris

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ton

8521

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208

218

437

543

543

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142

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177

177

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189

189

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295

295

295

295

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nty

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146

319

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177

177

177

177

177

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156

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196

196

196

196

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en19

619

619

617

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632

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316

516

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106

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132

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Mill

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ish

1217

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177

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on28

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ache

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re

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224

224

224

236

236

236

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atN

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port

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31M

anke

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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

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pen

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y Lu

m C

oLa

nd O

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es94

9494

9494

943

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ll Lu

m C

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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

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al E

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t33

3333

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335

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77

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r Unk

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m C

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rt Lu

m

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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

profile 2005: softwood sawmills in the united states and canada · 2018. 8. 17. · surement of...

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