Although ENR’s cost indexes measure the costs of nonresidential buildings structures, the downturn in the housing market still has a major impact on index movement. In March, lumber prices in the indexes were down another 2% after dropping 14% the previous year. Lower lumber prices are the main factor keeping inflation low. Inflation measured by the Building Cost Index (BCI) kept in the 2% to 3% range for the last two years, after increasing 5%in 2005 and 10% in 2004 when the index absorbed a 31% increase in steel prices. The Construction Cost Index (CCI) was less affected by the drop in lumber prices but escalation in the CCI was checked by modest increases in labor costs. The mechanics of what drives ENR’s indexes are explained below.

What Drives ENR’s Cost Indexes

ENR began systematically reporting materials prices and wages in 1909, but it did not establish the CCI until 1921. The index was designed as a general purpose tool to chart basic cost trends. It remains today as a weighted aggregate index of the prices of constant quantities of structural steel, portland cement, lumber and common labor. This package of construction goods was valued at $100 using 1913 prices.

The original use of common labor as a component of the CCI was intended to reflect wage-rate activity for all construction workers. In the 1930s, however, wage and fringe-benefit rates climbed much faster in percentage terms for common laborers than for skilled tradesmen. In response to this trend, ENR in 1938 introduced its Building Cost Index to weigh the impact of skilled labor trades on construction costs.

The BCI labor component is the average union wage rate, plus fringes, for carpenters, bricklayers and ironworkers. The materials component is the same as the CCI. The BCI also represents a hypothetical package of these construction items valued at $100 in 1913.

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  • Both indexes are designed to indicate basic underlying trends of construction costs in the U.S. Therefore, components are based on construction materials less influenced by local conditions. ENR chose steel, lumber and cement because they have a stable relationship to the nation’s economy and price structure. The selected materials also govern price trends because of their predominant use in construction.

    As a practical matter, ENR selected these materials because reliable price quotations are available promptly for all three, ensuring that the index can be computed swiftly and on a timely basis. While there might be some weaknesses in any index based on a limited number of components, ENR feels that a larger number of elements would increase the time lag between verifying prices and releasing the computed index. Also, an index made up of fewer elements or components is more sensitive to price changes than one made up of many.

    On the downside, the use of just a few cost components makes indexes for individual cities more vulnerable to source changes. These aberrations tend to average out for the 20-city indexes.

    What Drives ENR’s Cost Indexes

    Since the indexes are computed with real prices, the proportion a given component has in the index will vary with its relative escalation rate. In the late 1970s, labor’s share of the index dropped because materials prices were in the grip of hyperinflation triggered by an energy crisis and a construction boom that caused severe shortages. For example, in 1979, lumber prices increased 16%, cement prices increased 13% and steel prices jumped 11%. But common and skilled labor rose 8%. This sequence of events resulted in materials gaining a larger percent of the index.

    In the original CCI, the components were weighted at 38% for labor, 38% for steel, 17% for lumber and 7% for portland cement. Since 1921, the shifting tide of inflation changed the weight of the CCI components to 80% for labor, 13% for steel, 6% for lumber and 1% for cement. This shift was less dramatic for the BCI, which today consists of 65% for labor, 22% for steel, 10% for lumber and 3% for cement.

    Neither index is adjusted for productivity, managerial efficiency, labor market conditions, contractor overhead and profit or other less tangible cost factors. However, the indexes can be used to get a fix on these factors.

    During times when productivity is low, the selling price will be relatively higher than the ENR index. At the other extreme, when productivity is high and bidding competition is sharp such as in a recession the selling price of finished construction will generally fall below ENR’s indexes.