Document Missouri[517]

Missouri: 2002 2002 Economic Census Transportation 2002 Commodity Flow Survey Issued December 2004 EC02TCF-MO U.S. Department of Transportation BUREAU OF TRANSPORTATION STATISTICS U.S. Department of Commerce Economics and Statistics Administration U.S. CENSUS BUREAU ACKNOWLEDGMENTS This report was prepared in the Service Sector Statistics Division under the direction of Thomas E. Zabelsky, Assistant Division Chief for Current Service and Transportation Programs. Planning, implementation, and compiling of this report were under the supervision of John L. Fowler, Chief, Commodity Flow Survey Branch, assisted by Bruce Dembroski, Marilyn Quiles Amaya, Debra Corbett, Shirley Gray, Stephanie Groth, Michael Jones, Mabel Ocasio, Bonnie Opalko, Joyce Price, and Barbara Selinske. Sample design and statistical methodology were developed under the direction of Ruth E. Detlefsen, Assistant Division Chief, Research and Methodology. Sample design and estimation were developed under the supervision of Jock Black, Chief, Program Research and Development Branch, assisted by William C. Davie Jr., Jacklyn R. Jonas, Brett Moore, M. Cristina Cruz, and Michael Beaghen. Frame construction, status change, editing, and imputation procedures were developed under the supervision of Carol King, Chief, Statistical Methods Branch, assisted by David Kinyon, Anthony Myers, and Quatracia Williams. The processing system and computer programs were developed and implemented by the Economic Statistical Methods and Programming Division, under the direction of Barry F. Sessamen, Assistant Division Chief for Post Collection, assisted by Steven G. McCraith, Chief, Census Related Surveys Branch, Joy McLaughlin, John Nelson, Duc-Mong Nguyen, and Edna Vega. The Systems Support Division provided the table composition system. Robert Joseph Brown, Table Image Processing System (TIPS) Senior Software Engineer, was responsible for the design and development of the TIPS, under the supervision of Robert J. Bateman, Assistant Division Chief, Information Systems. Coordination of data collection efforts was under the direction of National Processing Center, Judith N. Petty, Chief, assisted by Carlene Bottorff, Linda Broadus, Sandra Hurst, Debbie Woods, Debbie Hamilton, and Michael Lutz. Margaret A. Smith and Michael T. Browne of the Administrative and Customer Services Division, Walter C. Odom, Chief, provided publications and printing management, graphics design and composition, and editorial review for print and electronic media. General direction and production management were provided by James R. Clark, Assistant Division Chief, and Susan L. Rappa, Chief, Publications Services Branch. The Bureau of Transportation Statistics (BTS) of the Department of Transportation played a major role in all aspects of the Commodity Flow Survey. Jack Wells, Chief Economist, assisted with program planning and oversight. Survey methodology, design, and implementation were conducted under the direction of Michael P. Cohen, Assistant Director for Survey Programs assisted by BTS staff: Mike Margreta, Ronald J. Duych, Joy Sharp, Julie Smith, Irwin Silberman, Promod Chandhok, Hossain Sanjani, and Scott Dennis. Felix Ammah-Tagoe and Adhi Dipo of MacroSys Research and Technology assisted BTS in various aspects of the survey. Frank Southworth, Shih-Miao Chin, and Bruce Peterson of Oak Ridge National Laboratory, provided support to BTS staff in performing the mileage calculations for the survey. Special acknowledgment is also due to the many businesses whose cooperation has contributed to the publication of these data. Missouri: 2002 Issued December 2004 EC02TCF-MO 2002 Economic Census Transportation 2002 Commodity Flow Survey U.S. Department of Transportation Norman Y. Mineta, Secretary Kirk K. Van Tine, Deputy Secretary BUREAU OF TRANSPORTATION STATISTICS Rick Kowalewski, Deputy Director U.S. Department of Commerce Donald L. Evans, Secretary Theodore W. Kassinger, Deputy Secretary Economics and Statistics Administration Kathleen B. Cooper, Under Secretary for Economic Affairs U.S. CENSUS BUREAU Charles Louis Kincannon, Director ECONOMICS AND STATISTICS ADMINISTRATION Economics and Statistics Administration Kathleen B. Cooper, Under Secretary for Economic Affairs U.S. CENSUS BUREAU Charles Louis Kincannon, Director Hermann Habermann, Deputy Director and Chief Operating Officer Vacant, Principal Associate Director for Programs Frederick T. Knickerbocker, Associate Director for Economic Programs Thomas L. Mesenbourg, Assistant Director for Economic Programs Mark E. Wallace, Chief, Service Sector Statistics Division BUREAU OF TRANSPORTATION STATISTICS Rick Kowalewski, Deputy Director Mary J. Hutzler, Associate Director for Statistical Programs William J. Chang, Associate Director for Information Systems CONTENTS Introduction to the Economic Census 2002 Commodity Flow Survey Tables 1a. 1b. 2. 3. 4. 5a. 5b. 6. 7. 8. 9. 10. Shipment Characteristics by Mode of Transportation for State of Origin: 2002 Shipment Characteristics by Mode of Transportation for State of Origin: Percent of Total for 2002 and 1997 Shipment Characteristics by Total Modal Activity for State of Origin: 2002 Shipment Characteristics by Mode of Transportation and Distance Shipped for State of Origin: 2002 Shipment Characteristics by Mode of Transportation and Shipment Weight for State of Origin: 2002 Shipment Characteristics by Two Digit Commodity for State of Origin: 2002 Shipment Characteristics by Two Digit Commodity for State of Origin: Percent of Total for 2002 and 1997 Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Outbound Shipment Characteristics by State of Destination for State of Origin: 2002 Inbound Shipment Characteristics by State of Origin for State of Destination: 2002 Shipment Characteristics by Mode of Transportation for State of Origin: 2002 and 1997 Shipment Characteristics by Commodity Group for State of Origin: 2002 and 1997 v ix 1 1 2 3 6 9 10 11 26 27 30 30 Appendixes A. B. C. D. Comparability With the 1997 Commodity Flow Survey Reliability of the Estimates Sample Design, Data Collection, and Estimation Standard Classification of Transported Goods Code Information A–1 B–1 C–1 D–1 Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri iii Introduction to the Economic Census PURPOSES AND USES OF THE ECONOMIC CENSUS The economic census is the major source of facts about the structure and functioning of the Nation’s economy. It provides essential information for government, business, industry, and the general public. Title 13 of the United States Code (Sections 131, 191, and 224) directs the Census Bureau to take the economic census every 5 years, covering years ending in “2” and “7”. The economic census furnishes an important part of the framework for such composite measures as the gross domestic product estimates, input/output measures, production and price indexes, and other statistical series that measure short-term changes in economic conditions. Specific uses of economic census data include the following: • Policymaking agencies of the federal government use the data to monitor economic activity and to assess the effectiveness of policies. • State and local governments use the data to assess business activities and tax bases within their jurisdictions and to develop programs to attract business. • Trade associations study trends in their own and competing industries, which allows them to keep their members informed of market changes. • Individual businesses use the data to locate potential markets and to analyze their own production and sales performance relative to industry or area averages. BASIS OF REPORTING The economic census is conducted on an establishment basis. A company operating at more than one location is required to file a separate report for each store, factory, shop, or other location. Each establishment is assigned a separate industry classification based on its primary activity and not that of its parent company. AVAILABILITY OF ADDITIONAL DATA All results of the 2002 Economic Census are available on the Census Bureau Internet site (www.census.gov) and on compact discs and digital versatile discs (CD-ROMs and DVD-ROMs) for sale by the Census Bureau. The American FactFinder system at the Web site allows selective retrieval and downloading of the data. For more information, including a description of reports being issued, see the Web site, write to the U.S. Census Bureau, Washington, DC 20233-8300, or call Customer Services at 301-763-4636. HISTORICAL INFORMATION The economic census has been taken as an integrated program at 5-year intervals since 1967 and before that for 1954, 1958, and 1963. Prior to that time, individual components of the economic census were taken separately at varying intervals. The economic census traces its beginnings to the 1810 Decennial Census, when questions on manufacturing were included with those for population. Coverage of economic activities was expanded for the 1840 Decennial Census and subsequent censuses to include mining and some commercial activities. The 1905 Manufactures Census was the first time a census was taken apart from the regular decennial population census. Censuses covering retail and wholesale trade and construction industries were added in 1930, as were some service trades in 1933. 2002 Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Introduction v Censuses of construction, manufacturing, and the other business service censuses were suspended during World War II. The 1954 Economic Census was the first census to be fully integrated, providing comparable census data across economic sectors and using consistent time periods, concepts, definitions, classifications, and reporting units. It was the first census to be taken by mail, using lists of firms provided by the administrative records of other Federal agencies. Since 1963, administrative records also have been used to provide basic statistics for very small firms, reducing or eliminating the need to send them census report forms. The range of industries covered in the economic censuses expanded between 1967 and 2002. The census of construction industries began on a regular basis in 1967, and the scope of service industries, introduced in 1933, was broadened in 1967, 1977, and 1987. While a few transportation industries were covered as early as 1963, it was not until 1992 that the census broadened to include all of transportation, communications, and utilities. Also new for 1992 was coverage of financial, insurance, and real estate industries. With these additions, the economic census and the separate census of governments and census of agriculture collectively covered roughly 98 percent of all economic activity. New for 2002 is coverage of four industries classified in the Agriculture, Forestry, and Fishing sector under the SIC system: landscape agricultural services, landscaping services, veterinary services, and pet care services. Printed statistical reports from the 1997 and earlier censuses provide historical figures for the study of long-term time series and are available in some large libraries. CD-ROMs issued from the 1987, 1992, and 1997 Economic Censuses contain databases including all or nearly all data published in print, plus additional statistics, such as ZIP Code statistics, published only on CD-ROM. SOURCES FOR MORE INFORMATION More information about the scope, coverage, classification system, data items, and publications for each of the economic censuses and related surveys is published in the Guide to the 2002 Economic Census at www.census.gov/epcd/ec02/guide.html. More information on the methodology, procedures, and history of the censuses will be published in the History of the 2002 Economic Census at www.census.gov/econ/www/history.html. vi Introduction 2002 Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census 2002 Commodity Flow Survey GENERAL The 2002 Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to assess the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. The CFS was last conducted in 1997. This report contains background information on the 2002 Commodity Flow Survey and then presents detailed tabular results on shipment characteristics by mode of transportation, commodity, distance shipped, and shipment weight. In Appendix A, key characteristics of the 2002 CFS are compared to those of the 1993 and 1997 surveys. Appendix B focuses on the reliability of the estimates and discusses sampling and nonsampling errors. Tables containing estimates of sampling variability corresponding to each table on shipment characteristics are also included in Appendix B. This report presents data at the state level. Additional reports will include data for the United States, census regions, divisions, and selected metropolitan areas, as well as selected data on exports and hazardous material shipments. INDUSTRY COVERAGE The 2002 CFS covers business establishments with paid employees that are located in the United States and are classified using the 1997 North American Industry Classification System (NAICS) in mining, manufacturing, wholesale trade, and select retail trade industries, namely, electronic shopping and mail-order houses. Establishments classified in services, transportation, construction, and most retail industries are excluded from the survey. Farms, fisheries, foreign establishments, and most government-owned establishments are also excluded. The survey also covers auxiliary establishments (i.e., warehouses and managing offices) of multiestablishment companies, which have nonauxiliary establishments that are in-scope to the CFS or are classified in retail trade. The coverage of managing offices has been expanded in the 2002 CFS, compared to the 1997 CFS. For the 1997 CFS, the number of in-scope managing offices was reduced to a large extent based on the results of the 1992 Economic Census. A managing office was considered in-scope to the 1997 CFS only if it had sales or end-of-year inventories in the 1992 Census. However, research conducted prior to the 2002 CFS showed that not all managing offices with shipping activity in the 1997 CFS indicated sales or inventories in the 1997 Economic Census. Therefore, the 1997 Economic Census results were not used in the determination of scope for managing offices in the 2002 CFS. For the 1993 CFS and the 1997 CFS, establishments were classified based on the 1987 Standard Industrial Classification System (SIC). Though an attempt was made to maintain similar coverage between the 1997 CFS and the 2002 CFS, there were some changes in industry coverage due to the conversion from SIC to NAICS. Most notably, coverage of the logging industry changed from an in-scope Manufacturing SIC code (SIC 2411) to an out-of-scope Agriculture, Forestry, Fishing, and Hunting NAICS code (NAICS 1133). Also, coverage of the publishing industry changed from in-scope Manufacturing SIC codes (SIC 2711, 2721, 2731, 2741, and part of 2771) to out-of-scope Information NAICS codes (NAICS 5111 and 51223). Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census 2002 Commodity Flow Survey vii See Appendix A for a comparison between the 2002, 1997, and 1993 surveys. Also see Appendix C for a more detailed discussion on industry coverage and the sample design. The NAICS industries covered in the 2002 CFS are listed in the following table: NAICS code 212 311 312 313 314 315 316 321 322 323 324 325 326 327 331 332 333 334 335 336 337 339 421 422 4541 49310 551114 Mining (Except Oil and Gas) Food Manufacturing Beverage and Tobacco Product Manufacturing Textile Mills Textile Product Mills Apparel Manufacturing Leather and Allied Product Manufacturing Wood Product Manufacturing Paper Manufacturing Printing and Related Support Activities Petroleum and Coal Products Manufacturing Chemical Manufacturing Plastics and Rubber Products Manufacturing Nonmetallic Mineral Product Manufacturing Description Primary Metal Manufacturing Fabricated Metal Product Manufacturing Machinery Manufacturing Computer and Electronic Product Manufacturing Electrical Equipment, Appliance, and Component Manufacturing Transportation Equipment Manufacturing Furniture and Related Product Manufacturing Miscellaneous Manufacturing Wholesale Trade, Durable Goods Wholesale Trade, Nondurable Goods Electronic Shopping and Mail-Order Houses Warehousing and Storage Corporate, Subsidiary, and Regional Managing Offices SHIPMENT COVERAGE The CFS captures data on shipments originating from select types of business establishments located in the 50 states and the District of Columbia. The data do not cover shipments originating from business establishments located in Puerto Rico and other U.S. possessions and territories. Shipments traversing the U.S. from a foreign location to another foreign location (e.g., from Canada to Mexico) are not included, nor are shipments from a foreign location to a U.S. location. Imported products are included in the CFS at the point that they left the importer’s domestic location for shipment to another location. Shipments that are shipped through a foreign territory with both the origin and destination in the U.S. are included in the CFS data. The mileages calculated for these shipments exclude the international segments (e.g., shipments from New York to Michigan through Canada do not include any mileages for Canada). Export shipments are included, with the domestic destination defined as the U.S. port, airport, or border crossing of exit from the U.S. The ‘‘Industry Coverage’’ section of the text lists the NAICS groups covered by the CFS. Other industry areas that are not covered, but may have significant shipping activity, include agriculture and government. For agriculture, specifically, this means that the CFS does not cover shipments of agricultural products from the farm site to the processing centers or terminal elevators (most likely short-distance local movements), but does cover the shipments of these products from the initial processing centers or terminal elevators onward. MILEAGE CALCULATIONS To estimate the distance traveled by each freight shipment sampled for the 2002 Commodity Flow Survey, the BTS Mileage Calculation Team used routing algorithms and an integrated, intermodal transportation network developed and updated expressly for this purpose by the Oak Ridge viii 2002 Commodity Flow Survey Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census National Laboratory (ORNL). The BTS Team worked at a secure data site within the Census Bureau. Each record contained the ZIP Code shipment origin and destination, and the mode or modal sequence required by the routing algorithm for distance estimation. Each record also contained information on type of commodity moved, its weight, dollar value, and hazardous materials status. For export shipments, data on the U.S. port of exit were also identified, along with foreign destination city and country. Processing of shipment records began in the fall of 2002, with completion in October 2003. One essential exercise was editing and imputing both absent and invalid geographic data elements, specifically origin and destination ZIP Codes, prior to estimating the distance traveled for each freight shipment. For this purpose, the BTS Mileage Calculation Team developed and maintained databases of domestic city/state names and foreign city/country names. The missing data elements, along with other related data problems found by the BTS Team, were either: (1) imputed because of high probability of accurate correction by the BTS Team, such as imputing a missing destination ZIP Code, given a destination city and state; or (2) reported back to the Census Bureau, allowing for call-backs to shippers for clarification/correction. For a domestic shipment, the mileage is calculated between the center of the geographic area (centroid) of the U.S. origin ZIP Code and the centroid of the destination ZIP Code. The mileage for the shipments within a ZIP Code is calculated by means of a formula that approximates the longest distance within the boundaries of that ZIP Code. The mileage for an export shipment is calculated between a shipments centroid of U.S. origin ZIP Code and its foreign destination country (city in the case of Canada and Mexico), via a U.S. port of exit (POE), be it seaport, airport, or border crossing. However, only the portion of mileage that falls within the U.S. is included in the CFS estimates. That is to say, once the export reaches the POE, the POE is considered the final domestic destination, the domestic route is finished, and any following mileage is not counted from the POE. These mileages are computed using routing algorithms that find the minimum impedance path over mathematical representations of the U.S. and North American highway, railway and waterway networks, and a transglobal representation of U.S.originating air freight and deep-sea transport networks. Shipment mileages were estimated for each record by summing over the distances of links contained within each minimum impedance path. Impedance was computed as a weighted combination of distance, time, and cost factors. The ORNL multimodal network database is composed of mode-specific subnetworks representing each of the major transportation modes, such as highway, railway, waterway, and airway (pipeline network was not available due to security reasons). The links of these networks represent linehaul transportation facilities. Network nodes represent intersections and interchanges, along with the access points to the transportation network. To simulate local access, test links are created from each five-digit ZIP Code centroid to nearby nodes on the network. For the truck network, local access is assumed to exist everywhere. For the other modes this is not true. Before any test links are created for these modes, a search procedure is used to determine if and where such networks are most likely to provide access to the ZIP Code. For shipments involving more than one mode, such as truck-rail or rail-water shipments, intermodal transfer links are added to the network database to connect the individual modal networks together for routing purposes. An intermodal terminals database and a number of terminal transfer models were developed at ORNL to identify likely transfer points for different classes of freight. A measure of link impedance was calculated for each access, line-haul, and intermodal transfer link traversed by a shipment. These impedances were mode specific and are based on various link characteristics. For example, the set of links characterizing the highway network included speed impacting factors, such as the presence of a divided or undivided roadway, the degree of access control, the rural or urban setting, the number of lanes, the degree of urban congestion, and the length of the link. Link impedance measures were also assigned to the local access links. Intermodal transfer link impedances are estimated in terms of the time it takes to move goods through a transfer facility. In the case of rail and air freight, intercarrier transfer penalties were also considered to obtain proper route selections. A shortest path algorithm is used to find the minimum impedance path between a shipment’s origin ZIP Code centroid and destination ZIP Code centroid. The cumulative length of Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census 2002 Commodity Flow Survey ix the local access plus line-haul links on this path provides the estimated distances used in CFS mileage computations. When rail and air freight were involved, these shipment distances were often averaged over more than one path between an origin-destination pair. Mileage Data for Pipeline Shipments For pipeline shipments, ton-miles and average miles per shipment are not shown in the tables. For most of these shipments, the respondents reported the shipment destination as a pipeline facility on the main pipeline network. Therefore, for the majority of these shipments, the resulting mileage represented only the access distance through feeder pipelines to the main pipeline network, and not the actual distance through the main pipeline network. Pipeline shipments are included in the U.S. totals for ton-miles and average miles per shipment. For security purposes, there is no pipeline network available in the public domain with which to route petroleum-based products. Hence, any modal distance, either single or multi, involving pipeline was considered as solely pipeline mileage from origin ZIP to destination ZIP and calculated to equal great circle distance (GCD). Note: Great circle distance is defined as the shortest distance between two points on the earth’s surface, taking into account the earth’s curvature. EXPLANATION OF TERMS Value of shipments. The dollar value of the entire shipment. This was defined as the net selling value, f.o.b. plant, exclusive of freight charges and excise taxes. The value data are displayed in millions of dollars. The total value of shipments, as measured by the CFS, and the U.S. gross domestic product (GDP) while similar in size provide different measures of economic activity in the United States and are not directly comparable. GDP is the value of all goods produced and services performed by labor and capital located in the United States. In 2002, the U.S. GDP was estimated at $10.4 trillion (measured in current U.S. dollars). The value of shipments, as measured by the CFS, is the market value of goods shipped from manufacturing, mining, wholesale, and mail order retail establishments, as well as warehouses and managing offices of multiunit establishments. Three important differences can be identified between GDP and value of shipments: 1. GDP captures goods produced by all establishments located in the United States, while the CFS measures goods shipped from a subset of all goods-producing establishments. 2. GDP measures the value of goods produced and of services performed. CFS measures the value of goods shipped. 3. GDP counts only the value-added at each step in the production of a product. CFS captures the value of shipments of materials used to produce or manufacture a product, as well as the value of shipments of the finished product itself. This means that the value of the materials used to produce a particular product contributes multiple times to the value. Commodity. Products that an establishment produces, sells, or distributes. This does not include items that are considered as excess or byproducts of the establishment’s operation. Respondents reported the description and the five-digit Standard Classification of Transported Goods (SCTG) code for the major commodity contained in the shipment, defined as the commodity with the greatest weight in the total shipment. Average miles per shipment. For the 1993 CFS, we excluded shipments of Standard Transportation Commodity Classification (STCC) 27, Printed Matter, from our calculation of average miles per shipment. We made this decision after determining that respondents in the 1993 CFS shipping newspapers, magazines, catalogs, etc., had used widely varying definitions of the term ‘‘shipment.’’ For the 1997 and 2002 CFS, we made numerous efforts throughout our data collection and editing to produce consistent results from establishments shipping SCTG 29, Printed Products. As a result, we have included printed products in the average miles per shipment estimates for 1997 and 2002. x 2002 Commodity Flow Survey Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Distance shipped. In Table 3, shipment data are presented for various ‘‘distance shipped’’ intervals. Shipments were categorized into these ‘‘distance shipped’’ intervals based on the great circle distance between their origin and destination ZIP Code centroids. All other distance-related data in this and other tables (i.e., ton-miles and average miles per shipment) are based on the mileage calculations. (See the ‘‘Mileage Calculations’’ section for more details.) Great circle distance. The shortest distance between two points on the surface of a sphere over the surface of that sphere. Mode of transportation. The type of transportation used for moving the shipment to its domestic destination. For exports, the domestic destination was the port of exit. Mode Definitions In the instructions to the respondent, we defined the possible modes as follows: 1. Parcel delivery/courier/U.S. Postal Service. Delivery services that carry letters, parcels, packages, and other small shipments that typically weigh less than 100 pounds. Includes bus parcel delivery service. 2. Private truck. Trucks operated by a temporary or permanent employee of an establishment or the buyer/receiver of the shipment. 3. For-hire truck. Trucks that carry freight for a fee collected from the shipper, recipient of the shipment, or an arranger of the transportation. 4. Railroad. Any common carrier or private railroad. 5. Shallow draft vessels. Barges, ships, or ferries operating primarily on rivers and canals; in harbors, the Great Lakes, the Saint Lawrence Seaway; the Intra-coastal Waterway, the Inside Passage to Alaska, major bays and inlets; or in the ocean close to the shoreline. 6. Deep draft vessel. Barges, ships, or ferries operating primarily in the open ocean. Shipping on the Great Lakes and the Saint Lawrence Seaway is classified with shallow draft vessels. 7. Pipeline. Movements of oil, petroleum, gas, slurry, etc., through pipelines that extend to other establishments or locations beyond the shipper’s establishment. Aqueducts for the movement of water are not included. 8. Air. Commercial or private aircraft, and all air service for shipments that typically weigh more than 100 pounds. Includes air freight and air express. 9. Other mode. Any mode not listed above. 10. Unknown. The shipment was not carried by a parcel delivery/courier/U.S. Postal Service, and the respondent could not determine what mode of transportation was used. In the tables, we have used additional terms for mode, which we define as follows: 1. Air (includes truck and air). Shipments that used air or a combination of truck and air. 2. Single modes. Shipments using only one of the above-listed modes, except parcel or other and unknown. 3. Multiple modes. Shipments for which two or more of the following modes of transportation were used: Private truck For-hire truck Rail Shallow draft vessel Deep draft vessel Pipeline In addition, Parcel, U.S. Postal Service, or Courier shipments are considered multiple modes because this category includes all parcel shipments whether on the ground or via air tendered Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census 2002 Commodity Flow Survey xi to a parcel or express carrier. In defining this mode, we did not combine these shipments with any other reported mode because by their nature, Parcel, U.S. Postal Service or Courier are already multimodal. For example, if the respondent reported a shipment’s mode of transportation as ‘‘parcel’’ and ‘‘air,’’ we treated the shipment as parcel only. Also in the CFS reports, the ‘‘Truck and Rail’’ and ‘‘Rail and Water’’ combinations included under ‘‘Multiple Modes’’ may not reflect all the movement of trailers or containers by rail and at least one other mode of transportation. Since the shipper may not always know the modal combinations used to transport the goods, some shipments moving by more than one mode may be reported as a single mode shipment. This may result in underestimation of multimodal shipments in the CFS. 4. Other multiple modes. Shipments using any other mode combinations not specifically listed in the tables. 5. Other and unknown modes. Shipments for which modes were not reported, or were reported by the respondent as ‘‘Other’’ or ‘‘Unknown.’’ 6. Truck. Shipments using for-hire truck only, private truck only, or a combination of for-hire truck and private truck. 7. Water. Shipments using shallow draft vessel only, deep draft vessel only, or Great Lakes vessel only. Combinations of these modes, such as shallow draft vessel and Great Lakes vessel are included as ‘‘Other multiple modes.’’ (Note: By definition, ‘‘shallow draft,’’ ‘‘Great Lakes,’’ and ‘‘deep draft’’ are mutually exclusive.) 8. Great Lakes. In the tables in this publication, ‘‘Great Lakes’’ appears as a single mode. ORNL’s transportation network and mileage calculation system allowed for separate mileage calculations for Great Lakes between the origin and destination ZIP Codes. Other Definitions and Terms Shipment. A shipment is a single movement of goods, commodities, or products from an establishment to a single customer or to another establishment owned or operated by the same company as the originating establishment (e.g., a warehouse, distribution center, or retail or wholesale outlet). Full or partial truckloads are counted as a single shipment only if all commodities on the truck are destined for the same location. If a truck makes multiple deliveries on a route, the goods delivered at each stop are counted as one shipment. Interoffice memos, payroll checks, or business correspondence are not considered shipments. Shipments such as refuse, scrap paper, waste, or recyclable materials are not considered shipments unless the establishment is in the business of selling or providing these materials. Standard Classification of Transported Goods (SCTG). The commodities shown in this report are classified using the SCTG coding system. The SCTG coding system was developed jointly by agencies of the United States and Canadian governments based on the Harmonized Commodity Description and Coding System (Harmonized System) to address statistical needs in regard to products transported. See Appendix D for more details. Ton-miles. The shipment weight multiplied by the mileage traveled by the shipment. The respondents reported shipment weight in pounds. Aggregated pound-miles were converted to ton-miles. Mileage was calculated as the distance between the shipment origin and destination ZIP Codes. For shipments by truck, rail, or shallow draft vessels, the mileage excludes international segments. For example, mileages from Alaska to the continental United States exclude any mileages through Canada (see the ‘‘Mileage Calculations’’ section for more details). For trucks making mutliple stops, the ton-miles are calculated for each delivery, and each drop-off point is treated as a final destination. Ton-miles estimates are displayed in millions. Tons shipped. The total weight of the entire shipment. Respondents reported the weight in pounds. Aggregated pounds were converted to short-tons (2,000 pounds). For freight shipped to distribution centers for subsequent reshipment, the tonnage is counted each time the goods are transported. xii 2002 Commodity Flow Survey Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Total modal activity (Table 2 only). The overall activity (e.g., ton-miles) of a specific mode of transportation, whether used in a single-mode shipment, or as part of a multiple-mode shipment. For example, the total modal activity for private truck is the total ton-miles carried by private truck in single-mode shipments, combined with the total ton-miles carried by private truck in all multiple-mode shipments that include private truck (private truck and for-hire truck, private truck and rail, private truck and air, etc.) ABBREVIATIONS AND SYMBOLS The following abbreviations and symbols are used in the tables for this publication: – D S CFS lb n.e.c. NA Represents an estimate equal to zero or less than 1 unit of measure. Denotes estimates withheld to avoid disclosing data of individual companies. Estimate does not meet publication standards because of high sampling variability or poor response quality. Commodity Flow Survey. Pounds. Not elsewhere classified. Not applicable. OTHER TRANSPORTATION DATA Users of transportation data may be especially interested in the following reports: Vehicle Inventory and Use Survey covers state and U.S. level statistics on the physical and operational characteristics of the nation’s truck, van, minivan, and sport utility vehicle population. Some of the types of data collected include number of vehicles, major use, body type, annual miles, model year, vehicle size, fuel type, operator classification, engine size, range of operation, weeks operated, products carried, and hazardous materials carried. This survey shows comparative statistics reflecting percent changes in number of vehicles between 2002 and 1997 for most characteristics. Service Annual Survey covers firms with paid employees that provide commercial motor freight transportation and public warehousing services. Data collected include operating revenue and operating revenue by source, percentage of motor carrier freight revenue by commodity type, size of shipments handled, length of haul, and vehicle fleet inventory. For more information on any Census Bureau product, including a description of electronic and printed reports being issued, see the Web site or call Customer Services at 301-763-INFO (4636). Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census 2002 Commodity Flow Survey xiii Table 1a. Shipment Characteristics by Mode of Transportation for State of Origin: 2002 Value Mode of transportation 2002 (million dollars) 185 392 157 782 134 904 77 930 56 727 19 652 1 043 1 043 – – 2 170 S 23 421 21 588 1 225 S 344 S 4 190 Tons 2002 (thousands) 254 827 247 143 189 434 98 150 86 588 31 118 S S – – 65 S 5 143 1 042 1 132 S S S 2 541 Ton miles1 2002 (millions) 72 910 67 095 36 478 27 065 9 141 18 270 12 255 12 255 – – 92 S 4 717 822 1 597 S S S 1 099 Average miles per shipment 517 233 187 388 100 674 S S – – 1 347 S 833 832 1 668 3 499 3 927 S 246 [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] Percent 100.0 85.1 72.8 42.0 30.6 10.6 .6 .6 – – 1.2 S 12.6 11.6 .7 S .2 S 2.3 Percent 100.0 97.0 74.3 38.5 34.0 12.2 S S – – – S 2.0 .4 .4 S S S 1.0 Percent 100.0 92.0 50.0 37.1 12.5 25.1 16.8 16.8 – – .1 S 6.5 1.1 2.2 S S S 1.5 Total Single modes Truck2 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline3 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. 1Ton miles estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional 2"Truck" as a single mode includes shipments that were made by only private truck, only for hire truck, or a combination of private truck and for hire truck. 3Estimates for pipeline exclude shipments of crude petroleum. information. Note: Value of shipments estimates have not been adjusted for price changes. Appendix B tables provide estimated measures of sampling variability. The Introduction and appendixes give information on confidentially protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Note: Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years. Table 1b. Shipment Characteristics by Mode of Transportation for State of Origin: Percent of Total for 2002 and 1997 Value (percent) Mode of transportation 2002 1997 100.0 82.5 67.4 42.7 24.6 12.4 .8 .8 – – 1.9 – 14.3 12.7 1.5 S – S 3.2 2002 100.0 97.0 74.3 38.5 34.0 12.2 S S – – – S 2.0 .4 .4 S S S 1.0 1997 100.0 96.8 78.6 37.0 40.5 7.6 10.5 10.5 – – – – 1.1 .4 .7 S – S 2.1 2002 100.0 92.0 50.0 37.1 12.5 25.1 16.8 16.8 – – .1 S 6.5 1.1 2.2 S S S 1.5 1997 100.0 94.8 46.8 36.6 10.0 20.8 27.1 27.1 – – .1 S 4.0 1.0 2.9 S – S 1.2 Tons (percent) Ton miles1 (percent) [Estimates are based on data from the 2002 and 1997 Commodity Flow Surveys. Because of rounding, estimates may not be additive] Total Single modes Truck2 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline3 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 100.0 85.1 72.8 42.0 30.6 10.6 .6 .6 – – 1.2 S 12.6 11.6 .7 S .2 S 2.3 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. 1Ton miles estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional 2"Truck" as a single mode includes shipments that were made by only private truck, only for hire truck, or a combination of private truck and for hire truck. 3Estimates for pipeline exclude shipments of crude petroleum. information. Note: Value of shipments estimates have not been adjusted for price changes. Appendix B tables provide estimated measures of sampling variability. The Introduction and appendixes give information on confidentially protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Note: Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years. Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 1 Table 2. Shipment Characteristics by Total Modal Activity for State of Origin: 2002 Ton miles2 Mode of transportation1 2002 (millions) 72 910 36 478 18 270 12 255 – – 92 S S 1 099 Average miles per shipment 517 187 674 S – – 1 347 5 S 246 [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] Percent 100.0 50.0 25.1 16.8 – – .1 S S 1.5 Total Truck Rail Shallow draft Great Lakes Deep draft Air Parcel, U.S. Postal Service or courier Pipeline3 Other and unknown modes – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. 1Estimates represent activity for a given mode across single and multiple mode shipments. For example, "Truck" ton miles includes total ton miles for shipments moving only by truck plus ton miles for truck segments of multiple mode shipments. 2Ton miles estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional information. 3Estimates exclude shipments of crude petroleum (SCTG 16). Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Note: Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years. 2 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 3. Shipment Characteristics by Mode of Transportation and Distance Shipped for State of Origin: 2002 Value 2002 (million dollars) 185 392 43 10 34 33 31 575 509 134 359 807 Percent 100.0 23.5 5.7 18.4 18.0 17.2 7.6 6.4 2.9 .3 100.0 25.5 6.0 19.4 17.5 17.3 6.4 5.5 2.4 – 100.0 29.5 7.0 21.6 19.1 10.1 5.9 4.9 1.8 S 100.0 13.6 5.1 22.0 25.8 14.2 8.8 7.7 2.9 S 100.0 51.5 9.6 21.2 9.8 4.5 1.8 1.2 .4 – 100.0 S S 4.9 5.5 S 9.5 8.9 4.7 – 100.0 S – 15.1 S 62.2 – – – – 100.0 S – 15.1 S 62.2 – – – – Tons 2002 (thousands) 254 827 107 20 52 38 23 320 343 463 946 571 Percent 100.0 42.1 8.0 20.6 15.3 9.2 2.6 1.5 .7 – 100.0 42.9 8.1 20.3 15.6 8.8 2.5 1.3 .5 S 100.0 49.1 10.4 20.0 12.3 4.5 1.9 1.2 .5 S 100.0 37.1 6.0 26.0 18.2 6.7 3.2 2.1 .8 S 100.0 61.3 16.0 13.4 6.0 S .6 .3 – – 100.0 S 1.2 27.4 34.9 18.8 7.7 3.2 1.0 – S S – 13.8 16.0 28.1 – – – – S S – 13.8 16.0 28.1 – – – – Ton miles2 2002 (millions) 72 910 2 1 12 19 20 147 920 491 611 191 Percent 100.0 2.9 2.6 17.1 26.9 27.7 9.8 7.8 4.7 .4 100.0 3.2 2.8 17.4 28.9 27.2 9.8 7.2 3.5 S 100.0 4.4 5.0 21.3 28.8 16.7 10.1 9.0 4.6 S 100.0 2.4 2.1 19.8 30.6 17.3 11.7 10.6 5.6 S 100.0 10.3 13.8 25.2 23.6 S 5.9 4.1 1.7 – 100.0 S S 14.8 30.6 25.4 15.8 8.6 3.6 – 100.0 S – 9.5 26.6 60.8 – – – – 100.0 S – 9.5 26.6 60.8 – – – – [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] Mode of transportation and distance shipped1 (based on Great Circle Distance) Total Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Single modes Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Truck3 Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more For hire truck Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Private truck Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Rail Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Water Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Shallow draft Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more See footnotes at end of table. 14 045 11 876 5 441 648 157 782 40 9 30 27 27 172 527 576 629 295 6 553 3 881 1 691 61 247 143 106 20 50 38 21 053 132 141 440 823 7 155 5 675 3 423 296 67 095 2 1 11 19 18 133 900 658 373 217 10 156 8 708 3 711 8 134 904 39 9 29 25 13 861 481 190 733 586 6 062 3 314 1 177 S 189 434 93 19 37 23 8 009 763 947 322 542 6 600 4 852 2 360 S 36 478 1 1 7 10 6 614 837 772 504 104 7 907 6 659 2 484 S 77 930 10 4 17 20 11 567 012 124 098 027 3 670 2 326 854 S 98 150 36 5 25 17 6 374 878 511 884 582 3 697 3 275 1 674 S 27 065 637 579 5 348 8 281 4 681 3 153 2 869 1 516 S 9 141 939 1 258 2 299 2 154 S 543 373 155 – 18 270 S S 2 711 5 595 4 642 2 894 1 571 649 – 12 255 S – 1 167 3 258 7 456 – – – – 12 255 S – 1 167 3 258 7 456 – – – – 6 870 5 977 2 250 S 56 727 29 5 12 5 2 225 468 018 541 546 3 128 2 019 774 S 86 588 53 13 11 5 045 884 580 224 S 541 280 78 – 31 118 S 369 8 536 10 872 5 843 2 384 986 309 – S S – 3 652 4 223 7 426 – – – – S S – 3 652 4 223 7 426 – – – – 1 035 672 223 – 19 652 S S 970 1 074 S 1 870 1 749 916 – 1 043 S – 157 S 649 – – – – 1 043 S – 157 S 649 – – – – Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 3 Table 3. Shipment Characteristics by Mode of Transportation and Distance Shipped for State of Origin: 2002 Con. Value 2002 (million dollars) Percent Tons 2002 (thousands) Percent Ton miles2 2002 (millions) Percent [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] Mode of transportation and distance shipped1 (based on Great Circle Distance) Single modes Con. Great Lakes Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Deep draft Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Air (includes truck and air) Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Pipeline4 Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Multiple modes Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Parcel, U.S. Postal Service or courier Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Truck and rail Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Truck and water Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more See footnotes at end of table. – – – – – – – – – – – – – – – – – – – – 2 170 – S 259 609 307 379 300 311 S S S – – – – – – – – 23 421 1 809 860 3 078 5 288 4 270 3 071 2 770 1 647 628 21 588 1 733 850 3 016 5 284 4 029 2 789 2 633 1 145 108 1 225 – S S S S 250 137 501 S S – – – – S S S – S – – – – – – – – – – – – – – – – – – – – 100.0 – S 11.9 28.1 14.1 17.5 13.8 14.3 S S S – – – – – – – – 100.0 7.7 3.7 13.1 22.6 18.2 13.1 11.8 7.0 2.7 100.0 8.0 3.9 14.0 24.5 18.7 12.9 12.2 5.3 .5 100.0 – S S S S 20.4 11.2 40.9 S S – – – – S S S – S – – – – – – – – – – – – – – – – – – – – 65 – S 5 22 12 8 3 S S S S – – – – – – – – 5 143 113 54 S 329 S 432 300 S 60 1 042 84 31 106 259 192 162 123 73 S 1 132 – S S S S 174 S S S S – – – – S S S – S – – – – – – – – – – – – – – – – – – – – 100.0 – S 7.4 34.6 18.4 11.7 4.8 S S S S – – – – – – – – 100.0 2.2 1.0 S 6.4 S 8.4 5.8 S 1.2 100.0 8.1 2.9 10.1 24.8 18.4 15.5 11.8 7.0 S 100.0 – S S S S 15.4 S S S S – – – – S S S – S – – – – – – – – – – – – – – – – – – – – 92 – S S 17 15 9 6 S S S S S S S S S S S S 4 717 1 5 S 161 S 496 490 S 294 822 1 3 22 118 144 165 171 140 S 1 597 – S S S S 216 S S S S – – – – S S S – S – – – – – – – – – – – – – – – – – – – – 100.0 – S S 18.2 16.2 9.6 6.2 S S S S S S S S S S S S 100.0 – .1 S 3.4 S 10.5 10.4 S 6.2 100.0 .2 .4 2.6 14.3 17.5 20.1 20.9 17.0 S 100.0 – S S S S 13.5 S S S S – – – – S S S – S 4 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 3. Shipment Characteristics by Mode of Transportation and Distance Shipped for State of Origin: 2002 Con. Value 2002 (million dollars) Percent Tons 2002 (thousands) Percent Ton miles2 2002 (millions) Percent [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] Mode of transportation and distance shipped1 (based on Great Circle Distance) Multiple modes Rail and water Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Other multiple modes Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Other and unknown modes Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Con. 344 – – S – S – – – S S S – – – S S – – – 4 190 1 594 S 480 442 241 S S S S 100.0 – – S – S – – – S S S – – – S S – – – 100.0 38.0 S 11.4 10.5 5.8 S S S S S – – S – S – – – S S S – – – S S – – – 2 541 S 157 178 S S 59 S S S S – – S – S – – – S S S – – – S S – – – 100.0 S 6.2 7.0 S S 2.3 S S S S – – S – S – – – S S S – – – S S – – – 1 099 S 15 37 S S 59 S S S S – – S – S – – – S S S – – – S S – – – 100.0 S 1.4 3.4 S S 5.4 S S S – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. 1Shipments are grouped into distance categories based on Great Circle Distance (GCD). GCD is the shortest distance between 2 points on the surface of a sphere over the surface of that information. sphere. 2Ton miles estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional 3"Truck" as a single mode includes shipments that were made by only private truck, only for hire truck, or a combination of private truck and for hire truck. 4Estimates for pipeline exclude shipments of crude petroleum. Note: Value of shipments estimates have not been adjusted for price changes. Appendix B tables provide estimated measures of sampling variability. The Introduction and appendixes give information on confidentially protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Note: Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years. Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 5 Table 4. Shipment Characteristics by Mode of Transportation and Shipment Weight for State of Origin: 2002 Value Mode of transportation and shipment weight 2002 (million dollars) 185 392 20 9 18 5 2 30 85 6 4 750 425 743 027 946 958 676 951 916 Percent 100.0 11.2 5.1 10.1 2.7 1.6 16.7 46.2 3.7 2.7 100.0 5.1 3.1 8.8 3.0 1.6 18.5 52.5 4.4 3.0 100.0 5.3 3.5 9.9 3.4 1.8 21.1 50.1 4.4 .5 100.0 5.8 3.7 9.7 2.8 1.3 19.8 52.7 3.9 .4 100.0 4.7 3.1 10.2 4.2 2.5 22.9 46.7 5.1 .7 100.0 S – S – – S S S 15.5 100.0 – – – – – – – S 92.2 100.0 – – – – – – – S 92.2 2 57 33 3 Tons 2002 (thousands) 254 827 594 636 1 767 912 806 11 114 57 66 600 484 114 914 Percent 100.0 .2 .2 .7 .4 .3 4.6 44.9 22.4 26.3 100.0 – – .6 .3 .3 4.6 45.7 23.0 25.3 100.0 .1 .1 .8 .5 .4 5.9 58.7 29.8 3.7 100.0 – – .4 .3 .1 2.9 58.4 34.0 3.8 100.0 .2 .2 1.2 .7 .7 9.6 58.9 24.7 3.8 100.0 S – S – – S 5.5 S 93.4 S – – – – – – – S S S – – – – – – – S S 2 26 6 1 2 27 6 29 2 29 6 32 Ton miles1 2002 (millions) 72 910 327 S 451 166 113 399 670 991 357 Percent 100.0 .4 S .6 .2 .2 3.3 40.7 9.6 44.4 100.0 – – .4 .2 .1 3.3 41.2 10.4 44.1 100.0 .1 .1 .8 .4 .3 6.0 71.3 18.3 2.8 100.0 – .1 .7 .4 .2 5.5 71.0 19.3 S 100.0 .2 .1 .9 .5 .5 7.4 72.2 14.9 3.3 100.0 S – S – – S 9.1 1.3 89.5 100.0 – – – – – – – S 99.5 100.0 – – – – – – – S 99.5 Average miles per shipment 517 583 733 271 179 141 200 253 125 436 233 270 229 205 167 127 192 237 125 442 187 181 202 197 162 124 190 227 121 S 388 331 560 515 401 401 505 344 159 188 100 120 80 84 73 66 85 119 65 S 674 310 – 1 253 – – 1 504 982 800 538 S – – – – – – – 782 S S – – – – – – – 782 S [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] Total Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Single modes Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Truck2 Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more For hire truck Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Private truck Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Rail Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Water Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Shallow draft Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more See footnotes at end of table. 157 782 8 4 13 4 2 29 82 6 4 068 895 927 680 449 257 856 920 729 247 143 228 234 1 461 861 769 11 112 56 62 296 850 890 552 67 095 53 51 295 146 97 244 669 960 580 134 904 7 4 13 4 2 154 672 340 566 385 189 434 216 228 1 449 859 768 11 111 56 7 265 125 496 028 36 478 36 43 283 141 95 188 000 658 034 28 456 67 627 6 000 704 77 930 4 2 7 2 491 882 521 176 987 98 150 62 57 378 246 130 885 324 333 734 27 065 18 30 196 98 53 1 496 19 227 5 217 S 9 141 17 14 87 42 41 680 6 595 1 361 305 18 270 S – S – – S 1 658 236 16 352 12 255 – – – – – – – S 12 193 12 255 – – – – – – – S 12 193 15 441 41 057 3 075 301 56 727 2 1 5 2 1 645 787 807 357 396 86 588 151 171 1 068 572 637 8 50 21 3 338 966 390 293 12 968 26 488 2 877 403 19 652 S – S – – S S S 3 050 1 043 – – – – – – – S 962 1 043 – – – – – – – S 962 31 118 S – S – – S 1 718 S 29 077 S – – – – – – – S S S – – – – – – – S S 6 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 4. Shipment Characteristics by Mode of Transportation and Shipment Weight for State of Origin: 2002 Con. Value Mode of transportation and shipment weight 2002 (million dollars) Percent Tons 2002 (thousands) Percent Ton miles1 2002 (millions) Percent Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] Single modes Con. Great Lakes Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Deep draft Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Air (includes truck and air) Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Pipeline3 Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Multiple modes Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Parcel, U.S. Postal Service or courier Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Truck and rail Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Truck and water Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more See footnotes at end of table. – – – – – – – – – – – – – – – – – – – – 2 170 914 223 566 S S 281 S S – S – – – – – – – – S 23 421 12 035 4 385 4 388 317 S S 1 559 S S 21 588 12 022 4 383 4 385 316 S S – – – 1 225 S S S – S S 983 S S S S S S – S – S – – – – – – – – – – – – – – – – – – – – – – 100.0 42.1 10.3 26.1 S S 12.9 S S – S – – – – – – – – S 100.0 51.4 18.7 18.7 1.4 S S 6.7 S S 100.0 55.7 20.3 20.3 1.5 S S – – – 100.0 S S S – S S 80.2 S S S S S S – S – S – – – – – – – – – – – – – – – – – – – – – – 65 S S 12 S S S S S – S – – – – – – – – S 5 143 343 S 251 39 S S 837 S S 1 042 342 S 249 37 S S – – – 1 132 S S S – S S 770 S S S S S S – S – S – – – – – – – – – – – – – – – – – – – – – – 100.0 S S 17.8 S S S S S – S – – – – – – – – S 100.0 6.7 S 4.9 .8 S S 16.3 S S 100.0 32.9 S 23.9 3.5 S S – – – 100.0 S S S – S S 68.0 S S S S S S – S – S – – – – – – – – – – – – – – – – – – – – – – 92 S S 11 S S S S S – S S S S S S S S S S 4 717 268 S 148 19 S S 1 544 S S 822 268 S 147 19 S S – – – 1 597 S S S – S S 1 340 S S S S S S – S – S – – – – – – – – – – – – – – – – – – – – – – 100.0 S S 12.6 S S S S S – S S S S S S S S S S 100.0 5.7 S 3.1 .4 S S 32.7 S S 100.0 32.5 S 17.9 2.3 S S – – – 100.0 S S S – S S 83.9 S S S S S S – S – S – – – – – – – – – – – – – – – – – – – – – – 1 347 1 1 1 1 1 364 302 038 657 129 1 467 1 380 799 – S S S S S S S S S S 833 802 1 012 594 502 477 1 312 1 904 1 647 861 832 802 1 012 595 539 462 762 – – – 1 668 1 105 1 105 1 368 – 4 716 1 354 1 760 1 890 853 3 499 4 423 764 2 554 – 4 335 – 5 257 – – Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 7 Table 4. Shipment Characteristics by Mode of Transportation and Shipment Weight for State of Origin: 2002 Con. Value Mode of transportation and shipment weight 2002 (million dollars) Percent Tons 2002 (thousands) Percent Ton miles1 2002 (millions) Percent Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] Multiple modes Rail and water Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Con. 344 – – – – – – S – S S S S S S – – S S S 4 190 647 146 428 30 34 1 536 1 261 S S 100.0 – – – – – – S – S S S S S S – – S S S 100.0 15.4 3.5 10.2 .7 .8 36.7 30.1 S S S – – – – – – S – S S S S S S – – S S S 2 541 23 20 55 11 5 285 797 217 S S – – – – – – S – S S S S S S – – S S S 100.0 .9 .8 2.2 .4 .2 11.2 31.3 8.5 S S – – – – – – S – S S S S S S – – S S S 1 099 S S 8 1 S S S 21 S S – – – – – – S – S S S S S S – – S S S 100.0 S S .7 – S S S 1.9 S 3 927 – – – – – – 4 114 – 802 S 6 1 7 7 – – 15 7 1 217 246 213 539 134 S 180 492 680 95 S Other multiple modes Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Other and unknown modes Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. 1Ton miles estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional 2"Truck" as a single mode includes shipments that were made by only private truck, only for hire truck, or a combination of private truck and for hire truck. 3Estimates for pipeline exclude shipments of crude petroleum. information. Note: Value of shipments estimates have not been adjusted for price changes. Appendix B tables provide estimated measures of sampling variability. The Introduction and appendixes give information on confidentially protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Note: Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years. 8 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 5a. Shipment Characteristics by Two Digit Commodity for State of Origin: 2002 Value Tons 2002 (thousands) 254 827 S 22 548 12 442 S S 7 172 12 232 3 069 S – S 67 143 S 352 – 6 380 4 283 S S 433 S 5 762 1 550 200 4 239 S 1 394 850 399 12 472 Ton miles1 2002 (millions) 72 910 S 11 867 3 080 S S 4 075 4 823 S S – S 12 929 S 55 – 254 139 161 S 203 208 2 372 511 S 957 S 712 707 317 3 544 Average miles per shipment 517 S 251 S S 271 215 S 43 174 – 44 41 S 118 – 30 29 S 875 318 S S 296 557 248 118 495 1 008 816 355 Commodity description [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code 2002 (million dollars) 185 392 S 2 150 3 087 1 839 S S 8 545 2 556 S – 83 376 S 95 – 1 867 1 090 677 2 570 16 315 302 5 898 5 284 70 1 908 525 881 196 236 087 Percent 100.0 S 1.2 1.7 1.0 S S 4.6 1.4 S – – .2 S – – 1.0 .6 .4 1.4 8.8 .2 3.2 2.9 – 1.0 .3 1.6 3.9 2.8 1.7 Percent 100.0 S 8.8 4.9 S S 2.8 4.8 1.2 S – S 26.3 S .1 – 2.5 1.7 S S .2 S 2.3 .6 – 1.7 S .5 .3 .2 4.9 Percent 100.0 S 16.3 4.2 S S 5.6 6.6 S S – S 17.7 S – – .3 .2 .2 S .3 .3 3.3 .7 S 1.3 S 1.0 1.0 .4 4.9 Total2 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 43 Live animals and live fish Cereal grains Other agricultural products Animal feed and products of animal origin, n.e.c. Meat, fish, seafood, and their preparations Milled grain products and preparations, and bakery products Other prepared foodstuffs and fats and oils Alcoholic beverages Tobacco products Monumental or building stone Natural sands Gravel and crushed stone Nonmetallic minerals n.e.c. Metallic ores and concentrates Coal Gasoline and aviation turbine fuel Fuel oils Coal and petroleum products, n.e.c. Basic chemicals Pharmaceutical products Fertilizers Chemical products and preparations, n.e.c. Plastics and rubber Logs and other wood in the rough Wood products Pulp, newsprint, paper, and paperboard Paper or paperboard articles Printed products Textiles, leather, and articles of textiles or leather Nonmetallic mineral products Base metal in primary or semifinished forms and in finished basic shapes Articles of base metal Machinery Electronic and other electrical equipment and components and office equipment Motorized and other vehicles (including parts) Transportation equipment, n.e.c. Precision instruments and apparatus Furniture, mattresses and mattress supports, lamps, lighting fittings, and illuminated signs Miscellaneous manufactured products Waste and scrap Mixed freight Commodity unknown 2 7 5 3 4 079 6 885 9 994 11 422 23 940 S 931 2 16 2 18 596 177 888 213 280 2.2 3.7 5.4 6.2 12.9 S .5 1.4 8.7 1.6 9.8 .2 3 145 4 948 1 934 986 3 119 S S 762 2 888 13 342 5 930 177 1.2 1.9 .8 .4 1.2 S S .3 1.1 5.2 2.3 – 973 1 641 1 097 596 1 975 S 23 431 1 522 5 168 1 778 65 1.3 2.3 1.5 .8 2.7 S – .6 2.1 7.1 2.4 – 208 218 527 472 506 665 519 652 766 393 350 809 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. 1Ton miles 2Estimates estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional information. exclude shipments of crude petroleum (SCTG 16). Note: Value of shipments estimates have not been adjusted for price changes. Appendix B tables provide estimated measures of sampling variability. The Introduction and appendixes give information on confidentially protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Note: Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years. Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 9 Table 5b. Shipment Characteristics by Two Digit Commodity for State of Origin: Percent of Total for 2002 and 1997 Value (percent) Commodity description 2002 Total2 100.0 S 1.2 1.7 1.0 S S 4.6 1.4 S – – .2 S – – 1.0 .6 .4 1.4 8.8 .2 3.2 2.9 – 1.0 .3 1.6 3.9 2.8 1.7 1997 100.0 S 1.3 1.5 2.1 2.2 2.3 6.2 2.1 .4 S – .2 S .2 – 1.2 .6 .7 1.1 5.7 .4 4.9 2.9 – 1.1 .5 1.8 4.6 2.4 1.5 2002 100.0 S 8.8 4.9 S S 2.8 4.8 1.2 S – S 26.3 S .1 – 2.5 1.7 S S .2 S 2.3 .6 – 1.7 S .5 .3 .2 4.9 1997 100.0 S 7.2 3.2 5.8 .9 3.0 4.3 2.0 – S 1.3 31.9 S 1.1 S 3.0 2.1 S 1.7 .2 1.3 2.7 .9 – 1.4 .3 .8 1.0 .2 9.9 2002 100.0 S 16.3 4.2 S S 5.6 6.6 S S – S 17.7 S – – .3 .2 .2 S .3 .3 3.3 .7 S 1.3 S 1.0 1.0 .4 4.9 1997 100.0 S 15.7 4.5 4.3 1.6 7.3 4.3 2.2 – S .5 17.9 .1 .4 – .5 .3 S S S 1.0 3.8 S S 1.0 .2 1.0 2.3 .2 3.5 Tons (percent) Ton miles1 (percent) [Estimates are based on data from the 2002 and 1997 Commodity Flow Surveys. Because of rounding, estimates may not be additive] SCTG code 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 43 Live animals and live fish Cereal grains Other agricultural products Animal feed and products of animal origin, n.e.c Meat, fish, seafood, and their preparations Milled grain products and preparations, and bakery products Other prepared foodstuffs and fats and oils Alcoholic beverages Tobacco products Monumental or building stone Natural sands Gravel and crushed stone Nonmetallic minerals n.e.c. Metallic ores and concentrates Coal Gasoline and aviation turbine fuel Fuel oils Coal and petroleum products, n.e.c. Basic chemicals Pharmaceutical products Fertilizers Chemical products and preparations, n.e.c. Plastics and rubber Logs and other wood in the rough Wood products Pulp, newsprint, paper, and paperboard Paper or paperboard articles Printed products Textiles, leather, and articles of textiles or leather Nonmetallic mineral products Base metal in primary or semifinished forms and in finished basic shapes Articles of base metal Machinery Electronic and other electrical equipment and components and office equipment Motorized and other vehicles (including parts) Transportation equipment, n.e.c. Precision instruments and apparatus Furniture, mattresses and mattress supports, lamps, lighting fittings, and illuminated signs Miscellaneous manufactured products Waste and scrap Mixed freight Commodity unknown 2.2 3.7 5.4 6.2 12.9 S .5 1.4 8.7 1.6 9.8 .2 3.0 3.2 4.9 7.6 17.9 1.5 1.0 1.6 8.1 .6 1.7 .8 1.2 1.9 .8 .4 1.2 S S .3 1.1 5.2 2.3 – 2.1 1.2 .5 .6 2.3 – – .5 .9 2.0 .6 .2 1.3 2.3 1.5 .8 2.7 S – .6 2.1 7.1 2.4 – 4.0 1.8 .9 1.5 6.6 .1 S 1.0 1.8 2.4 .4 .2 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. 1Ton miles 2Estimates estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional information. exclude shipments of crude petroleum (SCTG 16). Note: Value of shipments estimates have not been adjusted for price changes. Appendix B tables provide estimated measures of sampling variability. The Introduction and appendixes give information on confidentially protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Note: Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years. 10 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent ALL COMMODITIES Total2 Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 185 392 157 782 134 904 77 930 56 727 19 652 1 043 1 043 – – 2 170 S 23 421 21 588 1 225 S 344 S 4 190 100.0 85.1 72.8 42.0 30.6 10.6 .6 .6 – – 1.2 S 12.6 11.6 .7 S .2 S 2.3 254 827 247 143 189 434 98 150 86 588 31 118 S S – – 65 S 5 143 1 042 1 132 S S S 2 541 100.0 97.0 74.3 38.5 34.0 12.2 S S – – – S 2.0 .4 .4 S S S 1.0 72 910 67 095 36 478 27 065 9 141 18 270 12 255 12 255 – – 92 S 4 717 822 1 597 S S S 1 099 100.0 92.0 50.0 37.1 12.5 25.1 16.8 16.8 – – .1 S 6.5 1.1 2.2 S S S 1.5 517 233 187 388 100 674 S S – – 1 347 S 833 832 1 668 3 499 3 927 S 246 SCTG 01, LIVE ANIMALS AND LIVE FISH Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes S S S S S – – – – – – – – – – – – – – S S S S S – – – – – – – – – – – – – – S S S S S – – – – – – – – – – – – – – S S S S S – – – – – – – – – – – – – – S S S S S – – – – – – S – – – – – – – S S S S S – – – – – – S – – – – – – – S S S 477 123 – – – – – – S – – – – – – – SCTG 02, CEREAL GRAINS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 2 150 2 107 980 885 S 756 370 370 – – – – – – – – – – S 100.0 98.0 45.6 41.2 S 35.2 17.2 17.2 – – – – – – – – – – S 22 548 22 102 10 318 S S 7 473 4 311 4 311 – – – – – – – – – – S 100.0 98.0 45.8 S S 33.1 19.1 19.1 – – – – – – – – – – S 11 867 11 410 S S S 4 382 4 066 4 066 – – – S – – – – – – S 100.0 96.2 S S S 36.9 34.3 34.3 – – – S – – – – – – S 251 253 212 308 33 664 902 902 – – – S – – – – – – S Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 11 Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 03, OTHER AGRICULTURAL PRODUCTS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 3 087 3 072 2 235 953 S S S S – – S – S – – – – S – 100.0 99.5 72.4 30.9 S S S S – – S – S – – – – S – 12 442 12 424 S 3 365 S S S S – – S – S – – – – S – 100.0 99.9 S 27.0 S S S S – – S – S – – – – S – 3 080 3 080 426 301 S S S S – – S S S – – – – S – 100.0 100.0 13.8 9.8 S S S S – – S S S – – – – S – S S S 250 S 435 887 887 – – 714 S 7 – – – – 7 – SCTG 04, ANIMAL FEED AND PRODUCTS OF ANIMAL ORIGIN, N.E.C. Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 1 839 1 804 1 674 736 S 129 – – – – – – S S – – – S S 100.0 98.1 91.0 40.0 S 7.0 – – – – – – S S – – – S S S S S S S 790 – – – – – – S S – – – S 104 S S S S S 5.5 – – – – – – S S – – – S .7 S S S S S S – – – – – S S S – – – S S S S S S S S – – – – – S S S – – – S S S S S S S 689 – – – – – S S 70 – – – 7 123 SCTG 05, MEAT, FISH, SEAFOOD, AND THEIR PREPARATIONS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – S S S – – – – S S S S S S – – – – – – S S S – – – – S 271 271 271 671 S – – – – – – S 618 618 – – – – 138 12 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 06, MILLED GRAIN PRODUCTS AND PREPARATIONS, AND BAKERY PRODUCTS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes S S S S 3 389 S S S – – S – S S – – – – S S S S S 39.0 S S S – – S – S S – – – – S 7 172 7 151 5 938 3 948 1 990 S S S – – S – S S – – – – S 100.0 99.7 82.8 55.1 27.7 S S S – – S – S S – – – – S 4 075 4 060 2 788 2 183 604 S S S – – S S S S – – – – S 100.0 99.6 68.4 53.6 14.8 S S S – – S S S S – – – – S 215 217 202 561 S 1 154 788 788 – – 1 544 S 148 148 – – – – S SCTG 07, OTHER PREPARED FOODSTUFFS AND FATS AND OILS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 8 545 8 278 7 801 4 211 3 590 472 – – – – S – S S S – – – S 100.0 96.9 91.3 49.3 42.0 5.5 – – – – S – S S S – – – S 12 232 11 790 10 117 4 589 S 1 671 – – – – S – S 6 S – – – S 100.0 96.4 82.7 37.5 S 13.7 – – – – S – S – S – – – S 4 823 4 566 3 616 2 403 S 948 – – – – S S S 4 S – – – S 100.0 94.7 75.0 49.8 S 19.7 – – – – S S S – S – – – S S S S 633 S 699 – – – – 1 125 S 623 621 853 – – – S SCTG 08, ALCOHOLIC BEVERAGES Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 2 556 2 556 2 399 S S S – – – – – – – – – – – – – 100.0 100.0 93.9 S S S – – – – – – – – – – – – – 3 069 3 069 2 834 S S S – – – – – – – – – – – – – 100.0 100.0 92.3 S S S – – – – – – – – – – – – – S S S S S S – – – – – S – – – – – – – S S S S S S – – – – – S – – – – – – – 43 43 42 190 21 555 – – – – – S – – – – – – – Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 13 Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 09, TOBACCO PRODUCTS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes S S S – S – – – – – – – – – – – – – – S S S – S – – – – – – – – – – – – – – S S S – S – – – – – – – – – – – – – – S S S – S – – – – – – – – – – – – – – S S S – S – – – – – – S – – – – – – – S S S – S – – – – – – S – – – – – – – 174 174 174 – 174 – – – – – – S – – – – – – – SCTG 10, MONUMENTAL OR BUILDING STONE Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – S – – – – – – – – – – – – – – – – – – S – – – – – – – – – – – – – – – – – – S – – – – – – – SCTG 11, NATURAL SANDS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 83 83 S S S 3 S S – – – – – – – – – – S 100.0 99.6 S S S 3.8 S S – – – – – – – – – – S S S S S S 215 S S – – – – – – – – – – S S S S S S 1.0 S S – – – – – – – – – – S S S S S S S S S – – – S – – – – – – S S S S S S S S S – – – S – – – – – – S 44 44 S S 15 650 34 34 – – – S – – – – – – 32 14 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 12, GRAVEL AND CRUSHED STONE Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 376 363 287 109 159 48 27 27 – – – – S – – – S S S 100.0 96.5 76.5 29.1 42.2 12.8 7.2 7.2 – – – – S – – – S S S 67 143 64 214 52 468 19 829 29 208 5 012 6 733 6 733 – – – – S – – – S S S 100.0 95.6 78.1 29.5 43.5 7.5 10.0 10.0 – – – – S – – – S S S 12 929 10 824 2 084 491 1 463 3 976 4 764 4 764 – – – S S – – – S S S 100.0 83.7 16.1 3.8 11.3 30.8 36.8 36.8 – – – S S – – – S S S 41 40 38 23 47 680 625 625 – – – S 891 – – – 802 1 016 442 SCTG 13, NONMETALLIC MINERALS N.E.C. Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes S S S S S S – – – – – – 1 1 – – – – S S S S S S S – – – – – – 3.5 3.5 – – – – S S S S S S S – – – – – – – – – – – – S S S S S S S – – – – – – – – – – – – S S S S S S S – – – – – S – – – – – – S S S S S S S – – – – – S .6 .6 – – – – S S S S 640 46 749 – – – – – S 627 627 – – – – S SCTG 14, METALLIC ORES AND CONCENTRATES Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 95 94 91 54 S S – – – – S – S S – – – – – 100.0 98.5 96.1 57.2 S S – – – – S – S S – – – – – 352 352 338 314 S S – – – – S – S S – – – – – 100.0 100.0 96.0 89.1 S S – – – – S – S S – – – – – 55 55 45 34 S S – – – – S S S S – – – – – 100.0 100.0 81.0 60.6 S S – – – – S S S S – – – – – 118 191 180 S 537 719 – – – – 799 S 62 62 – – – – – Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 15 Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 15, COAL Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – S – – – – – – – – – – – – – – – – – – S – – – – – – – – – – – – – – – – – – S – – – – – – – SCTG 17, GASOLINE AND AVIATION TURBINE FUEL Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 1 867 1 867 1 867 555 1 265 – – – – – – – – – – – – – – 100.0 100.0 100.0 29.7 67.7 – – – – – – – – – – – – – – 6 380 6 380 6 380 1 896 4 331 – – – – – – – – – – – – – – 100.0 100.0 100.0 29.7 67.9 – – – – – – – – – – – – – – 254 254 254 38 144 – – – – – – S – – – – – – – 100.0 100.0 100.0 15.0 56.6 – – – – – – S – – – – – – – 30 30 30 15 26 – – – – – – S – – – – – – – SCTG 18, FUEL OILS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 1 090 1 089 1 076 164 894 – – – – – – S – – – – – – S 100.0 100.0 98.8 15.1 82.0 – – – – – – S – – – – – – S 4 283 4 282 4 221 719 3 436 – – – – – – S – – – – – – S 100.0 100.0 98.5 16.8 80.2 – – – – – – S – – – – – – S 139 138 138 10 S – – – – – – S – – – – – – S 100.0 100.0 99.8 7.2 S – – – – – – S – – – – – – S 29 29 29 12 27 – – – – – – S – – – – – – 18 16 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 19, COAL AND PETROLEUM PRODUCTS, N.E.C. Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 677 676 605 230 S 72 – – – – – – S S – – – – S 100.0 99.9 89.3 34.0 S 10.6 – – – – – – S S – – – – S S S S S S 61 – – – – – – S S – – – – S S S S S S 5.5 – – – – – – S S – – – – S 161 161 108 65 S S – – – – – S S S – – – – S 100.0 100.0 67.1 40.4 S S – – – – – S S S – – – – S S S S S S 867 – – – – – S 255 255 – – – – 18 SCTG 20, BASIC CHEMICALS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 2 570 2 434 2 082 1 552 530 S – – – – S – S S – – – – S 100.0 94.7 81.0 60.4 20.6 S – – – – S – S S – – – – S S S 7 801 S S S – – – – 6 – S S – – – – S S S 88.6 S S S – – – – – – S S – – – – S S S S S S S – – – – 10 S S S – – – – S S S S S S S – – – – .3 S S S – – – – S 875 857 221 344 59 729 – – – – 1 271 S 922 922 – – – – 481 SCTG 21, PHARMACEUTICAL PRODUCTS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 16 315 13 989 13 342 12 395 944 – – – – – 647 – 2 276 2 263 – S – – 50 100.0 85.7 81.8 76.0 5.8 – – – – – 4.0 – 14.0 13.9 – S – – .3 433 409 403 338 65 – – – – – S – 18 17 – S – – 6 100.0 94.5 93.0 78.0 14.9 – – – – – S – 4.0 4.0 – S – – 1.5 203 191 185 174 S – – – – – S S 10 10 – S – – 2 100.0 94.1 91.0 85.5 S – – – – – S S 4.8 4.7 – S – – 1.1 318 232 195 205 37 – – – – – 1 184 S 784 774 – 4 423 – – 347 Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 17 Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 22, FERTILIZERS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 302 298 S S S 17 – – – – S – S S – – – – – 100.0 98.7 S S S 5.5 – – – – S – S S – – – – – S S S S S S – – – – S – S S – – – – – S S S S S S – – – – S – S S – – – – – 208 208 124 105 S S – – – – S S S S – – – – – 100.0 100.0 59.5 50.4 S S – – – – S S S S – – – – – S S S 112 S 536 – – – – 774 S 54 54 – – – – – SCTG 23, CHEMICAL PRODUCTS AND PREPARATIONS, N.E.C. Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 5 898 5 182 4 843 3 273 1 570 328 – – – – S – S S S – – – S 100.0 87.9 82.1 55.5 26.6 5.6 – – – – S – S S S – – – S 5 762 5 552 5 325 3 970 1 355 227 – – – – S – S S S – – – S 100.0 96.4 92.4 68.9 23.5 3.9 – – – – S – S S S – – – S 2 372 2 138 1 832 1 608 224 305 – – – – S S S S S – – – S 100.0 90.1 77.2 67.8 9.5 12.9 – – – – S S S S S – – – S S S 143 336 47 1 352 – – – – 2 377 S S S 1 200 – – – S SCTG 24, PLASTICS AND RUBBER Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 5 284 4 712 4 708 1 945 S – – – – – 4 – 423 421 – S – S 149 100.0 89.2 89.1 36.8 S – – – – – – – 8.0 8.0 – S – S 2.8 1 550 1 504 1 504 570 933 – – – – – – – 22 22 – S – S 23 100.0 97.1 97.0 36.8 60.2 – – – – – – – 1.4 1.4 – S – S 1.5 511 488 488 299 S – – – – – – S 15 15 – S – S 8 100.0 95.5 95.4 58.5 S – – – – – – S 2.9 2.9 – S – S 1.5 296 203 199 520 126 – – – – – 1 659 S 698 699 – 835 – 7 S 18 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 25, LOGS AND OTHER WOOD IN THE ROUGH Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 70 39 38 33 4 S – – – – – – S – S – – – S 100.0 55.4 54.1 47.7 6.3 S – – – – – – S – S – – – S 200 133 128 117 11 S – – – – – – S – S – – – S 100.0 66.8 64.2 58.6 5.6 S – – – – – – S – S – – – S S S S 31 S S – – – – – S S – S – – – S S S S 18.3 S S – – – – – S S – S – – – S 557 248 243 231 253 1 681 – – – – – S 2 141 – 2 141 – – – 249 SCTG 26, WOOD PRODUCTS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 1 908 1 720 1 584 610 974 S – – – – – – S S S – – S S 100.0 90.2 83.0 32.0 51.1 S – – – – – – S S S – – S S 4 239 3 490 3 033 S 1 609 S – – – – – – 28 S S – – S S 100.0 82.3 71.6 S 38.0 S – – – – – – .7 S S – – S S 957 913 532 S 102 S – – – – – S S S S – – S S 100.0 95.4 55.6 S 10.7 S – – – – – S S S S – – S S 248 120 114 354 76 827 – – – – – S 820 826 1 289 – – 1 S SCTG 27, PULP, NEWSPRINT, PAPER, AND PAPERBOARD Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 525 514 514 S 296 – – – – – – – S S – – – – S 100.0 97.9 97.9 S 56.3 – – – – – – – S S – – – – S S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – S S S – – – – S S S S S S – – – – – – S S S – – – – S 118 103 103 699 S – – – – – – S 507 507 – – – – 28 Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 19 Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 28, PAPER OR PAPERBOARD ARTICLES Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 2 881 2 563 2 559 2 101 445 S – – – – S – 286 99 S – – – S 100.0 89.0 88.8 72.9 15.4 S – – – – S – 9.9 3.4 S – – – S 1 394 1 325 1 321 1 032 267 S – – – – S – S 11 S – – – S 100.0 95.1 94.8 74.0 19.2 S – – – – S – S .8 S – – – S 712 570 563 521 39 S – – – – S S S 9 S – – – S 100.0 80.2 79.1 73.2 5.5 S – – – – S S S 1.2 S – – – S 495 S S 436 S 1 635 – – – – 775 S 900 896 2 698 – – – S SCTG 29, PRINTED PRODUCTS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 7 196 2 185 2 061 1 835 S S – – – – S – 4 759 4 759 – S – – 252 100.0 30.4 28.6 25.5 S S – – – – S – 66.1 66.1 – S – – 3.5 850 326 310 290 20 S – – – – S – S S – S – – S 100.0 38.3 36.5 34.1 2.3 S – – – – S – S S – S – – S 707 262 230 228 S S – – – – S S S S – S – – S 100.0 37.1 32.5 32.2 S S – – – – S S S S – S – – S 1 008 796 746 1 068 312 715 – – – – 1 461 S 1 020 1 020 – 1 361 – – S SCTG 30, TEXTILES, LEATHER, AND ARTICLES OF TEXTILES OR LEATHER Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 5 236 2 859 2 844 2 514 330 – – – – – 16 – 2 304 2 304 – – – – 72 100.0 54.6 54.3 48.0 6.3 – – – – – .3 – 44.0 44.0 – – – – 1.4 399 274 274 221 S – – – – – – – 120 120 – – – – 4 100.0 68.9 68.7 55.4 S – – – – – .1 – 30.1 30.1 – – – – 1.1 317 225 225 204 S – – – – – 1 S 87 87 – – – – S 100.0 71.1 70.8 64.2 S – – – – – .2 S 27.4 27.4 – – – – S 816 591 555 688 S – – – – – 1 374 S 835 835 – – – – 743 20 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 31, NONMETALLIC MINERAL PRODUCTS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 3 087 2 988 2 765 1 537 1 228 68 154 154 – – – – S S – – – – S 100.0 96.8 89.6 49.8 39.8 2.2 5.0 5.0 – – – – S S – – – – S 12 472 12 311 8 871 3 961 4 910 1 276 2 165 2 165 – – – – 5 5 – – – – S 100.0 98.7 71.1 31.8 39.4 10.2 17.4 17.4 – – – – – – – – – – S 3 544 3 522 1 906 1 381 S 620 996 996 – – – S 3 3 – – – – S 100.0 99.4 53.8 39.0 S 17.5 28.1 28.1 – – – S – – – – – – S 355 207 204 336 113 499 453 453 – – – S 877 877 – – – – 449 SCTG 32, BASE METAL IN PRIMARY OR SEMIFINISHED FORMS AND IN FINISHED BASIC SHAPES Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 4 079 3 958 3 883 2 109 1 774 73 – – – – 1 – 53 53 – – – – S 100.0 97.0 95.2 51.7 43.5 1.8 – – – – – – 1.3 1.3 – – – – S 3 145 3 094 2 971 1 561 1 410 123 – – – – S – S S – – – – S 100.0 98.4 94.5 49.6 44.8 3.9 – – – – S – S S – – – – S 973 966 850 701 149 116 – – – – S S S S – – – – S 100.0 99.3 87.4 72.1 15.3 11.9 – – – – S S S S – – – – S 208 214 213 435 100 943 – – – – 1 205 S 301 301 – – – – S SCTG 33, ARTICLES OF BASE METAL Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 6 885 5 624 5 618 3 067 2 505 S – – – – 4 – 1 070 1 058 S – – – S 100.0 81.7 81.6 44.5 36.4 S – – – – – – 15.5 15.4 S – – – S 4 948 4 854 4 852 3 209 S S – – – – – – 77 68 S – – – 17 100.0 98.1 98.1 64.8 S S – – – – – – 1.6 1.4 S – – – .3 1 641 1 602 1 598 S 116 S – – – – – S 37 22 S – – – S 100.0 97.6 97.4 S 7.0 S – – – – – S 2.2 1.4 S – – – S 218 S S S S 1 921 – – – – 1 560 S 575 575 1 471 – – – S Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 21 Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 34, MACHINERY Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 9 994 8 383 7 893 5 727 S 66 – – – – S – 1 017 825 S – – – S 100.0 83.9 79.0 57.3 S .7 – – – – S – 10.2 8.3 S – – – S 1 934 1 865 1 840 S S 11 – – – – S – S 30 S – – – S 100.0 96.4 95.2 S S .6 – – – – S – S 1.6 S – – – S 1 097 S S S S 16 – – – – S S S 21 S – – – S 100.0 S S S S 1.5 – – – – S S S 1.9 S – – – S 527 563 331 627 52 1 466 – – – – 1 401 S 514 510 1 529 – – – S SCTG 35, ELECTRONIC AND OTHER ELECTRICAL EQUIPMENT AND COMPONENTS AND OFFICE EQUIPMENT Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 11 422 6 910 6 357 3 896 2 427 16 – – – – 538 – 4 012 4 006 S – – – 499 100.0 60.5 55.7 34.1 21.3 .1 – – – – 4.7 – 35.1 35.1 S – – – 4.4 986 832 818 480 335 5 – – – – S – 94 93 S – – – 60 100.0 84.4 83.0 48.7 34.0 .5 – – – – S – 9.5 9.4 S – – – 6.1 596 528 510 341 165 10 – – – – 8 S 55 54 S – – – 14 100.0 88.4 85.5 57.1 27.7 1.7 – – – – 1.3 S 9.2 9.0 S – – – 2.3 472 375 369 651 315 2 009 – – – – 1 069 S 635 635 1 485 – – – S SCTG 36, MOTORIZED AND OTHER VEHICLES (INCLUDING PARTS) Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 23 940 21 834 6 777 5 060 1 717 S – – – – S – 1 134 1 042 S S – S S 100.0 91.2 28.3 21.1 7.2 S – – – – S – 4.7 4.4 S S – S S 3 119 2 747 1 623 1 278 345 S – – – – S – 76 S S S – S S 100.0 88.1 52.0 41.0 11.1 S – – – – S – 2.4 S S S – S S 1 975 1 673 774 721 53 898 – – – – S S 47 41 S S – S S 100.0 84.7 39.2 36.5 2.7 45.5 – – – – S S 2.4 2.1 S S – S S 506 266 224 510 49 819 – – – – 1 490 S 626 626 1 209 979 – 3 709 22 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 37, TRANSPORTATION EQUIPMENT, N.E.C. Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes S S S S S – – – – – S – S S – – – – S S S S S S – – – – – S – S S – – – – S S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – – S S – – – – S S S S S S – – – – – S S S S – – – – S S S S S S – – – – – S S S S – – – – S 665 575 471 757 460 – – – – – 1 392 S 736 736 – – – – 189 SCTG 38, PRECISION INSTRUMENTS AND APPARATUS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 931 478 456 382 S – – – – – S – S S – S – – S 100.0 51.3 49.0 41.1 S – – – – – S – S S – S – – S S S S 19 S – – – – – S – S S – S – – S S S S 13.9 S – – – – – S – S S – S – – S 23 21 21 S S – – – – – S S S S – S – – S 100.0 91.7 91.2 S S – – – – – S S S S – S – – S 519 669 553 654 286 – – – – – 1 518 S 490 488 – 7 804 – – 495 SCTG 39, FURNITURE, MATTRESSES AND MATTRESS SUPPORTS, LAMPS, LIGHTING FITTINGS, AND ILLUMINATED SIGNS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 2 596 2 317 2 303 1 137 S S – – – – – – S S – – – – S 100.0 89.3 88.7 43.8 S S – – – – – – S S – – – – S 762 731 719 469 S S – – – – – – S S – – – – S 100.0 96.0 94.4 61.5 S S – – – – – – S S – – – – S 431 407 395 374 20 S – – – – – S S S – – – – S 100.0 94.3 91.6 86.8 4.7 S – – – – – S S S – – – – S 652 443 443 758 S 948 – – – – – S 868 868 – – – – 902 Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 23 Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent SCTG 40, MISCELLANEOUS MANUFACTURED PRODUCTS Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 16 177 13 425 13 321 5 878 S S – – – – 21 – 2 377 2 368 S – – – S 100.0 83.0 82.3 36.3 S S – – – – .1 – 14.7 14.6 S – – – S 2 888 2 585 2 464 1 853 610 S – – – – 1 – 86 85 S – – – S 100.0 89.5 85.3 64.2 21.1 S – – – – – – 3.0 3.0 S – – – S 1 522 1 284 1 176 944 232 S – – – – 1 S 73 72 S – – – S 100.0 84.3 77.3 62.0 15.3 S – – – – – S 4.8 4.7 S – – – S 766 439 396 629 105 694 – – – – 1 535 S 903 903 2 199 – – – 332 SCTG 41, WASTE AND SCRAP Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 2 888 2 568 1 976 1 320 S S – – – – – – S S S – – – S 100.0 88.9 68.4 45.7 S S – – – – – – S S S – – – S 13 342 12 959 S S S S – – – – – – S S S – – – S 100.0 97.1 S S S S – – – – – – S S S – – – S 5 168 4 476 1 683 S S S – – – – – S S S S – – – S 100.0 86.6 32.6 S S S – – – – – S S S S – – – S 393 323 304 301 317 381 – – – – – S 1 842 791 1 848 – – – 535 SCTG 43, MIXED FREIGHT Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnotes at end of table. 18 213 16 520 16 094 4 667 11 427 407 – – – – S – 1 314 727 114 S S – S 100.0 90.7 88.4 25.6 62.7 2.2 – – – – S – 7.2 4.0 .6 S S – S 5 930 5 715 5 640 1 982 3 658 74 – – – – S – 137 29 70 S S – S 100.0 96.4 95.1 33.4 61.7 1.3 – – – – S – 2.3 .5 1.2 S S – S 1 778 1 413 1 311 849 462 101 – – – – S S 329 18 112 S S – S 100.0 79.4 73.7 47.7 26.0 5.7 – – – – S S 18.5 1.0 6.3 S S – S 350 132 119 287 84 1 527 – – – – 1 334 S 731 725 1 608 8 351 4 114 – S 24 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 6. Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons 2002 (thousands) Ton miles1 2002 (millions) Average miles per shipment [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] SCTG code, description, and mode of transportation 2002 (million dollars) Percent Percent Percent COMMODITY UNKNOWN Total Single modes Truck3 For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline4 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 280 255 228 86 S S – – – – S – S S – – – – S 100.0 91.0 81.3 30.8 S S – – – – S – S S – – – – S 177 176 168 104 S S – – – – S – 1 1 – – – – S 100.0 99.4 95.0 58.9 S S – – – – S – .6 .6 – – – – S 65 65 50 30 S S – – – – S S S S – – – – S 100.0 99.2 76.6 45.4 S S – – – – S S S S – – – – S 809 1 082 298 224 356 1 903 – – – – 2 194 S 631 631 – – – – 244 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. 1Ton miles estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional 2Estimates exclude shipments of crude petroleum (SCTG 16). 3"Truck" as a single mode includes shipments that were made by only private truck, only for hire truck, or a combination of private truck and for hire truck. 4Estimates for pipeline exclude shipments of crude petroleum. information. Note: Value of shipments estimates have not been adjusted for price changes. Appendix B tables provide estimated measures of sampling variability. The Introduction and appendixes give information on confidentially protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Note: Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years. Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 25 Table 7. Outbound Shipment Characteristics by State of Destination for State of Origin: 2002 Value State of destination 2002 (million dollars) 185 392 Tons 2002 (thousands) 254 827 Ton miles1 2002 (millions) 72 910 [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] Percent 100.0 Percent 100.0 Percent 100.0 Total NEW ENGLAND STATES Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont 552 156 973 S 96 77 .3 – .5 S – – 56 72 159 S S 3 – – – S S – 70 82 204 46 S 4 .1 .1 .3 – S – MIDDLE ATLANTIC STATES New Jersey New York Pennsylvania 2 860 3 282 2 974 1.5 1.8 1.6 884 748 1 672 .3 .3 .7 1 012 772 1 583 1.4 1.1 2.2 EAST NORTH CENTRAL STATES Illinois Indiana Michigan Ohio Wisconsin 12 4 3 10 2 294 988 162 474 765 6.6 2.7 1.7 5.6 1.5 16 5 1 2 2 904 148 607 142 036 6.6 2.0 .6 .8 .8 2 1 1 1 536 759 029 212 989 3.5 2.4 1.4 1.7 1.4 WEST NORTH CENTRAL STATES Iowa Kansas Minnesota Missouri Nebraska North Dakota South Dakota 4 9 2 56 3 216 736 372 661 891 345 387 2.3 5.3 1.3 30.6 2.1 .2 .2 5 9 1 128 5 649 871 530 453 788 339 231 2.2 3.9 .6 50.4 2.3 .1 – 1 766 1 538 846 6 500 1 868 364 140 2.4 2.1 1.2 8.9 2.6 .5 .2 SOUTH ATLANTIC STATES Delaware District of Columbia Florida Georgia Maryland North Carolina South Carolina Virginia West Virginia S 92 356 206 749 563 559 1 150 357 2 3 1 1 S – 1.3 1.7 .9 .8 .3 .6 .2 34 8 1 854 2 739 221 658 226 723 S – – .7 1.1 – .3 – .3 S 35 8 2 267 1 973 230 613 199 789 S – – 3.1 2.7 .3 .8 .3 1.1 S EAST SOUTH CENTRAL STATES Alabama Kentucky Mississippi Tennessee 1 503 S 1 180 4 408 .8 S .6 2.4 S S 1 859 7 325 S S .7 2.9 S 1 500 S 2 833 S 2.1 S 3.9 WEST SOUTH CENTRAL STATES Arkansas Louisiana Oklahoma Texas 5 2 5 9 559 026 096 121 3.0 1.1 2.7 4.9 12 11 4 13 237 930 125 102 4.8 4.7 1.6 5.1 3 10 1 9 787 727 244 854 5.2 14.7 1.7 13.5 MOUNTAIN STATES Arizona Colorado Idaho Montana Nevada New Mexico Utah Wyoming 2 173 2 455 102 355 398 338 S 132 1.2 1.3 – .2 .2 .2 S – 863 1 187 29 70 78 S 564 S .3 .5 – – – S .2 S 1 168 854 49 95 127 S 667 S 1.6 1.2 – .1 .2 S .9 S PACIFIC STATES Alaska California Hawaii Oregon Washington 260 6 087 388 764 1 684 .1 3.3 .2 .4 .9 20 2 445 41 S 371 – 1.0 – S .1 101 4 518 196 S 780 .1 6.2 .3 S 1.1 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. 1Ton miles estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional information. Note: Value of shipments estimates have not been adjusted for price changes. Appendix B tables provide estimated measures of sampling variability. The Introduction and appendixes give information on confidentially protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Note: Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years. 26 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table 8. Inbound Shipment Characteristics by State of Origin for State of Destination: 2002 Value State of origin 2002 (million dollars) 177 887 Tons 2002 (thousands) 237 221 Ton miles1 2002 (millions) 74 033 [Estimates are based on data from the 2002 Commodity Flow Survey. Because of rounding, estimates may not be additive] Percent 100.0 Percent 100.0 Percent 100.0 Total NEW ENGLAND STATES Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont 591 119 1 072 221 114 101 .3 – .6 .1 – – 110 S 152 49 14 36 – S – – – – 132 S 189 65 18 44 .2 S .3 – – – MIDDLE ATLANTIC STATES New Jersey New York Pennsylvania 1 848 2 696 2 873 1.0 1.5 1.6 474 902 872 .2 .4 .4 510 990 818 .7 1.3 1.1 EAST NORTH CENTRAL STATES Illinois Indiana Michigan Ohio Wisconsin 14 7 12 7 3 678 005 389 039 244 8.3 3.9 7.0 4.0 1.8 16 2 2 2 1 908 933 424 292 740 7.1 1.2 1.0 1.0 .7 2 1 1 1 568 139 583 363 842 3.5 1.5 2.1 1.8 1.1 WEST NORTH CENTRAL STATES Iowa Kansas Minnesota Missouri Nebraska North Dakota South Dakota 3 9 3 56 1 717 552 248 661 746 245 379 2.1 5.4 1.8 31.9 1.0 .1 .2 3 11 1 128 1 020 257 382 453 140 S S 1.3 4.7 .6 54.1 .5 S S 933 1 245 866 6 500 379 S S 1.3 1.7 1.2 8.8 .5 S S SOUTH ATLANTIC STATES Delaware District of Columbia Florida Georgia Maryland North Carolina South Carolina Virginia West Virginia 199 S 1 398 2 337 773 2 223 738 1 036 199 .1 S .8 1.3 .4 1.2 .4 .6 .1 97 S 601 1 197 163 481 425 376 140 – S .3 .5 – .2 .2 .2 – 97 S 715 837 145 436 349 324 87 .1 S 1.0 1.1 .2 .6 .5 .4 .1 EAST SOUTH CENTRAL STATES Alabama Kentucky Mississippi Tennessee 1 4 2 6 196 557 663 225 .7 2.6 1.5 3.5 947 2 020 1 011 3 192 .4 .9 .4 1.3 569 819 484 977 .8 1.1 .7 1.3 WEST SOUTH CENTRAL STATES Arkansas Louisiana Oklahoma Texas 4 2 1 5 766 055 855 536 2.7 1.2 1.0 3.1 4 2 2 3 448 503 901 195 1.9 1.1 1.2 1.3 1 475 2 107 857 2 181 2.0 2.8 1.2 2.9 MOUNTAIN STATES Arizona Colorado Idaho Montana Nevada New Mexico Utah Wyoming 449 886 409 70 228 115 241 290 .3 .5 .2 – .1 – .1 .2 S S 304 101 79 281 639 32 007 S S .1 – – .1 .3 13.5 74 1 257 465 151 125 269 844 32 307 .1 1.7 .6 .2 .2 .4 1.1 43.6 PACIFIC STATES Alaska California Hawaii Oregon Washington S 6 432 S 856 608 S 3.6 S .5 .3 S 1 227 S 905 144 S .5 S .4 – S 2 274 S 1 962 301 S 3.1 S 2.6 .4 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. 1Ton miles estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional information. Note: Value of shipments estimates have not been adjusted for price changes. Appendix B tables provide estimated measures of sampling variability. The Introduction and appendixes give information on confidentially protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Note: Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years. Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 27 Discussion of Survey Changes and Comparing Estimates The following tables provide comparisons of the 2002 and 1997 Commodity Flow Survey (CFS) estimates. Data users are urged to use caution in comparing estimates from different survey years due to the changes that have occurred in sample design, industry coverage, methodology, commodity classification coding systems, geography, and sample sizes. Appendix A presents change in these areas by survey year. INDUSTRY COVERAGE CHANGES Changes to the 2002 CFS include moving the industry coverage from a Standard Industrial Classification (SIC) based definition in the 1997 CFS to a North American Industry Classification System (NAICS) based definition for the 2002 survey. For the 2002 CFS, this meant that selected industries previously covered in the 1997 CFS using the SIC definitions, were now out-of-scope to the 2002 CFS industry coverage based on the NAICS definitions. The major industries not covered by the 2002 CFS that were included in the 1997 CFS are Logging (NAICS 11331); Newspaper Periodical, Book, and Database Publishers (NAICS 5111); and Music Publishers (NAICS 51223). To make the 1997 CFS estimates comparable with the 2002 CFS, the 1997 CFS estimates have been revised by removing shipments from establishments in the following industries: SIC 2411 SIC SIC SIC SIC SIC 2711 2721 2731 2741 2771 Logging Newspapers: Publishing, or Publishing and Printing Periodicals: Publishing, or Publishing and Printing Books: Publishing, or Publishing and Printing Miscellaneous Publishing Greeting Cards We were not able to adjust the 1997 CFS estimates to account the NAICS coverage changes when only part of a SIC moved out-of-scope. For example, a wholesale industry in-scope to the 1997 CFS—SIC 5171 (Petroleum Bulk Stations and Terminals)—included Heating Oil Sold Via Retail Method, which is now classified as Retail (NAICS 454311) and is out-of-scope of the 2002 CFS. The majority of the industry remains in-scope to the 2002 CFS industry coverage, therefore we made no adjustment to the 1997 CFS estimates. No adjustments have been made to the 1993 CFS estimates. Detailed information about NAICS can be found at www.census.gov/epcd/www/naics.html. AUXILIARY ESTABLISHMENT COVERAGE CHANGES The 2002 CFS improved the coverage of auxiliary establishments. Auxiliary establishments are defined as warehouses and managing offices of multiestablishment companies, which have nonauxiliary establishments that are in-scope to CFS or are classified in retail trade. For the 1997 CFS sampling, managing offices had to have sales or inventory levels of greater than zero in order to be considered for selection. However, research conducted prior to the 2002 CFS showed that not all managing offices with shipping activity in the 1997 CFS indicated sales or inventories in the 1997 Economic Census. Therefore, to provide a more comprehensive coverage of auxiliaries, for the 2002 CFS managing offices were subjected to sampling, regardless of sales or inventories. COMPARISON DATA AND STATISTICAL VALIDITY Changes from the 1997 to 2002 CFS include a decrease in sample size, from approximately 100,000 establishments for the 1997 CFS to about 50,000 establishments for the 2002 survey. 28 Missouri Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census One consequence of the decreased sample size was a substantial increase in the sampling variability for estimates of period-to-period change produced at full detail levels for mode and commodity. Because of the increased variability in many of these categories, one cannot conclude with a high degree of confidence that changes were significant. For a more detailed discussion of sampling variability, see Appendix B. We have provided period-to-period comparisons at the following, higher levels of aggregation for mode of transportation and commodity since the impact of increased sampling variability is less at those levels. For consistency, these aggregation levels are also now used in our Metropolitan Area and Export tables, where appropriate. Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri 29 Table 9. Shipment Characteristics by Mode of Transportation for State of Origin: 2002 and 1997 Value Tons Ton miles1 Average miles per shipment [Estimates are based on data from the 2002 and 1997 Commodity Flow Surveys. Because of rounding, estimates may not be additive] Mode of transportation 2002 (million dollars) 185 392 157 782 134 19 1 2 904 652 043 170 S 1997 (million dollars) 147 352 121 603 99 18 1 2 343 338 135 771 16 Percent change 25.8 29.8 35.8 7.2 –8.1 –21.7 S 11.5 15.0 –44.4 S –11.8 2002 (thousands) 254 827 247 143 189 434 31 118 S 65 S 5 143 1 042 1 132 S 2 541 1997 (thousands) 187 891 181 860 147 656 14 308 19 786 52 58 2 111 694 1 408 10 3 920 Percent change 35.6 35.9 28.3 117.5 S 24.7 S 143.6 50.2 –19.6 S –35.2 2002 (millions) 72 910 67 095 36 478 18 270 12 255 92 S 4 717 822 1 597 S 1 099 1997 (millions) 49 352 46 806 23 104 10 285 13 357 60 S 1 975 490 1 419 S 571 Percent change 47.7 43.3 57.9 77.6 –8.3 51.7 S 138.8 67.9 12.5 S 92.4 2002 517 233 187 674 S 1 347 S 833 832 1 668 S 246 1997 555 222 153 860 697 1 320 S 825 824 1 188 1 783 71 Percent change –6.7 4.9 22.6 –21.6 S 2.1 S .9 .9 40.4 S 246.5 Total Single modes Truck2 Rail Water Air (includes truck and air) Pipeline3 Multiple modes Parcel, U.S. Postal Service or courier Truck and rail All other multiple modes Other and unknown modes 23 421 21 588 1 225 608 4 190 21 000 18 779 2 202 S 4 749 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. 1Ton miles estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional 2"Truck" as a single mode includes shipments that were made by only private truck, only for hire truck, or a combination of private truck and for hire truck. 3Estimates for pipeline exclude shipments of crude petroleum. information. Note: Value of shipments estimates have not been adjusted for price changes. Appendix B tables provide estimated measures of sampling variability. The Introduction and appendixes give information on confidentially protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Note: Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years. Table 10. Shipment Characteristics by Commodity Group for State of Origin: 2002 and 1997 Value Tons Ton miles1 Average miles per shipment [Estimates are based on data from the 2002 and 1997 Commodity Flow Surveys. Because of rounding, estimates may not be additive] SCTG code Commodity description 2002 (million dollars) 185 392 1997 (million dollars) 147 352 Percent change 25.8 2002 (thousands) 254 827 1997 (thousands) 187 891 Percent change 35.6 2002 (millions) 72 910 1997 (millions) 49 352 Percent change 47.7 2002 517 1997 555 Percent change –6.7 Total2 01 05 06 09 10 14 15 19 20 24 25 30 Agricultural products and fish Grains, alcohol, and tobacco products Stones, nonmetallic minerals, and metallic ores Coal and petroleum products Basic chemicals, chemical, and pharmaceutical products Logs, wood products, and textile and leather Base metal and machinery Electronic, motorized vehicles, and precision instruments Furniture, mixed freight and misc. manufactured prod. Commodity unknown 11 307 19 921 591 3 634 30 370 17 815 24 044 37 557 39 874 280 10 737 16 160 855 3 635 22 159 15 412 18 416 41 300 17 556 1 121 5.3 23.3 –30.8 – 37.1 15.6 30.6 –9.1 127.1 –75.0 52 611 22 479 88 812 11 775 18 208 7 198 22 499 8 145 22 923 177 32 114 17 507 65 825 13 082 12 974 7 025 25 778 5 518 7 599 469 63.8 28.4 34.9 –10.0 40.3 2.5 –12.7 47.6 201.6 –62.3 19 410 9 417 13 961 553 6 152 2 887 7 254 4 311 8 900 65 12 944 6 799 9 365 839 4 980 2 381 5 069 4 110 2 791 74 50.0 38.5 49.1 –34.1 23.5 21.3 43.1 4.9 218.9 –12.2 122 S 43 33 375 898 312 490 539 809 97 217 32 S 396 968 258 369 586 710 25.2 S 33.0 S –5.2 –7.3 21.2 32.8 –8.1 13.9 31 34 35 38 39 43 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. 1Ton miles 2Estimates estimates are based on estimated distances traveled along a modeled transportation network. See "Mileage Calculations" section for additional information. exclude shipments of crude petroleum (SCTG 16). Note: Value of shipments estimates have not been adjusted for price changes. Appendix B tables provide estimated measures of sampling variability. The Introduction and appendixes give information on confidentially protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Note: Coverage for the 2002 Commodity Flow Survey (CFS) differs from the previous surveys due to a change from the 1987 Standard Industrial Classification System to the 1997 North American Industry Classification System and other survey improvements. Therefore, data users are urged to use caution when comparing 2002 CFS estimates with estimates from prior years. 30 Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Appendix A. Comparability With the 1993 and 1997 Commodity Flow Surveys The following tables show a comparison of the key characteristics among the 1993, 1997, and 2002 Commodity Flow Surveys. Industry Coverage 1993 Based on 1987 SIC Manufacturing (excluding Printing Trade Services (SIC 279)) 1997 Based on 1987 SIC 2002 Based on 1997 NAICS1 Manufacturing (excluding Manufacturing (excluding Printing Trade Services (SIC Prepress Services (NAICS 279)) 323122)) Mining (except mining services Mining (except mining services Mining (except support (SICs 108, 124, 138, 148) (SICs 108,124, 138, 148) and activities (NAICS 213) and and oil and gas extraction oil and gas extraction (SICs 131 oil and gas extraction (NAICS (SICs 131 and 132)) and 132)) 211)) Wholesale (merchants and manufacturers’ sales branches and governmentowned liquor stores) Retail catalog and mail order houses Auxiliaries (e.g., warehouses) Wholesale (merchants and Wholesale (merchants and manufacturers’ sales branches manufacturers’ sales branches and government-owned liquor and government-owned liquor stores) stores) Retail catalog and mail order houses Auxiliaries (e.g., warehouses) Retail electronic shopping and mail order houses Auxiliaries2 (e.g., warehouses) 1 Because of changes in the classification of establishments between SIC and NAICS, establishments classified in the following industries were covered in the 1993 and 1997 surveys, but not in the 2002 survey: NAICS 11331, Logging; NAICS 5111, Newspaper, Periodical, Book, and Database Publishers; and NAICS 51223, Music Publishers. Detailed information about NAICS can be found on the Census Bureau Web site at: http://www.census.gov/epcd/www/naics.html. 2 Coverage of auxiliaries has been expanded for the 2002 CFS. In comparison, for the 1997 CFS, the number of in-scope managing offices was reduced to a large extent based on the results of the 1992 Economic Census. For the 1997 CFS, a managing office was considered in-scope only if it had sales or end-of-year inventories in the 1992 Census. Research conducted prior to the 2002 CFS showed that not all managing offices with shipping activity in the 1997 CFS indicated sales or inventories in the 1997 Economic Census. Therefore, the 1997 Economic Census results were not used to determine scope for managing offices in the 2002 CFS. For the 2002 survey, the inclusion of an increased number of auxiliaries (intermediary distribution centers) which support the operations of retail stores (most of which are, themselves out-of-scope) has more of an impact on the estimates of value and tonnage and less on ton-miles. Commodity Classification System 1993 Standard Transportation Commodity Classification (STCC), developed by the Association of American Railroads (AAR) 1997 Standard Classification of Transported Goods (SCTG) 2002 Standard Classification of Transported Goods (SCTG) Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Eonomic Census Appendix A A–1 Sample Size 1993 Approximately 200,000 establishments selected from a universe of about 790,000 in-scope establishments. 1997 2002 Approximately 100,000 Approximately 50,000 establishments selected from a establishments selected from a universe of about 770,000 universe of about 760,000 in-scope establishments. in-scope establishments. Survey Methodology 1993 Respondents reported for a sample of their individual outbound shipments for a 2-week period during each of the four calendar quarters of the reference year. Respondents reported key characteristics for each sampled shipment 1997 2002 Respondents reported for a Respondents reported for a sample sample of their individual of their individual outbound outbound shipments for a 1-week shipments for a 1-week period period during each of the four during each of the four calendar quarters of the calendar quarters of the reference reference year. year. Respondents reported key Respondents reported key characteristics for each sampled characteristics for each sampled shipment. shipment. Reported Mode of Transportation 1993 For-hire truck Private truck Rail Air Inland Water Deep Sea Water Pipeline Parcel, U.S. Postal Service, or courier Other Unknown 1997 2002 For-hire truck For-hire truck Private truck Private truck Rail Rail Air Air Shallow draft vessel Shallow draft vessel Deep draft vessel Deep draft vessel Pipeline Pipeline Parcel, U.S. Postal Service, or Parcel, U.S. Postal Service, or coucourier rier Other Other Unknown Unknown A–2 Appendix A Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Eonomic Census Data Items Requested 1993 For each shipment: 1997 For each shipment: 2002 For each shipment: Total value Total value Total value Total weight Total weight Total weight Commodity that contributes the Commodity that contributes the Commodity that contributes the most to the shipment’s weight most to the shipment’s weight most to the shipment’s weight (STCC) (SCTG) (SCTG) All known modes of transportation Single origin (assumed to be the mailing address unless the respondent provided a different physical location address) Destination Containerized (Y/N) Hazardous material (Y/N) All known modes of transportation All known modes of transportation Single origin (assumed to be the Single origin (assumed to be the mailing address unless the mailing address unless the respondent provided a different respondent provided a different physical location address) physical location address) Destination Destination Containerized (Y/N) Hazardous material (UN/NA) code Hazardous material (UN/NA) code Export (Y/N) Export (Y/N) Export (Y/N) If export: mode of export, If export: mode of export, foreign If export: mode of export, foreign foreign city and country of city and country of destination; city and country of destination; destination; U.S. port, airport, U.S. port, airport, or border U.S. port, airport, or border or border crossing of exit. crossing of exit. crossing of exit. Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Eonomic Census Appendix A A–3 Appendix B. Reliability of the Estimates The estimates in this publication may differ from the actual, unknown population values. Statisticians define this difference as the total error of the estimate. When describing the accuracy of survey results, it is convenient to discuss total error as the sum of sampling error and nonsampling error. Sampling error is the average difference between the estimate and the result that would be obtained from a complete enumeration of the sampling frame conducted under the same survey conditions. Nonsampling error encompasses all other factors that contribute to the total error of a sample survey estimate. The sampling error of the estimates in this publication can be estimated from the selected sample because the sample was selected using probability sampling. Common measures related to sampling error are the sampling variance, the standard error, and the coefficient of variation (CV). The sampling variance is the squared difference, averaged over all possible samples of the same size and design, between the estimator and its average value. The standard error is the square root of the sampling variance. The CV expresses the standard error as a percentage of the estimate to which it refers. This publication presents these measures in Appendix B. Nonsampling errors are difficult to measure and can be introduced through inadequacies in the questionnaire, nonresponse, inaccurate reporting by respondents, errors in the application of survey procedures, incorrect recording of answers, and errors in data entry and processing. No measures of nonsampling error are presented in this publication, however, every effort is made to minimize their effect on the estimates. Data users should take into account both the measures of sampling error and the potential effects of nonsampling error when using these estimates. More detailed descriptions of sampling and nonsampling errors for the 2002 CFS are provided in the following sections. Sampling Error Because the estimates are based on a sample, exact agreement with results that would be obtained from a complete enumeration of all shipments made in 2002 from all establishments included on the sampling frame using the same enumeration procedures is not expected. However, because probability sampling was used at each stage of selection, it is possible to estimate the sampling variability of the survey estimates. For CFS estimates, sampling variability arises from each of the three stages of sampling. (See Appendix C for a description of the sample design.) The particular sample used in this survey is one of a large number of samples of the same size that could have been selected using the same design. If all possible samples had been surveyed under the same conditions, an estimate of a population parameter of interest could have been obtained from each sample. These samples give rise to a distribution of estimates for the population parameter. A statistical measure of the variability among these estimates is the standard error, which can be approximated from any one sample. The standard error is defined as the square root of the variance. The coefficient of variation (or relative standard error) of an estimator is the standard error of the estimator divided by the estimator. Note that measures of sampling variability, such as the standard error and coefficient of variation, are estimated from the sample and are also subject to sampling variability. (Technically, we should refer to the estimated standard error or the estimated coefficient of variation of an estimator. However, for the sake of brevity, we have omitted this detail.) It is important to note that the standard error only measures sampling variability. It does not measure systematic biases of the sample. The Census Bureau recommends that individuals using estimates contained in this report incorporate this information into their analyses, as sampling error could affect the conclusions drawn from these estimates. Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Appendix B B–1 An estimate from a particular sample and the standard error associated with the estimate can be used to construct a confidence interval. A confidence interval is a range about a given estimator that has a specified probability of containing the result of a complete enumeration of the sampling frame conducted under the same survey conditions. Associated with each interval is a percentage of confidence, which is interpreted as follows. If, for each possible sample, an estimate of a population parameter and its approximate standard error were obtained, then: 1. For approximately 90 percent of the possible samples, the interval from 1.645 standard errors below to 1.645 standard errors above the estimate would include the result as obtained from a complete enumeration of the sampling frame conducted under the same survey conditions. 2. For approximately 95 percent of the possible samples, the interval from 1.96 standard errors below to 1.96 standard errors above the estimate would include the result as obtained from a complete enumeration of the sampling frame conducted under the same survey conditions. To illustrate the computation of a confidence interval for an estimate of total value of shipments, assume that an estimate of total value is $10,750 million and the coefficient of variation for this estimate is 1.8 percent, or 0.018. First obtain the standard error of the estimate by multiplying the value of shipments estimate by its coefficient of variation. For this example, multiply $10,750 million by 0.018. This yields a standard error of $193.5 million. The upper and lower bounds of the 90-percent confidence interval are computed as $10,750 million plus or minus 1.645 times $193.5 million. Consequently, the 90-percent confidence interval is $10,432 million to $11,068 million. If corresponding confidence intervals were constructed for all possible samples of the same size and design, approximately 9 out of 10 (90 percent) of these intervals would contain the result obtained from a complete enumeration. Nonsampling Error Nonsampling error encompasses all other factors that contribute to the total error of a sample survey estimate and may also occur in censuses. It is often helpful to think of nonsampling error as arising from deficiencies or mistakes in the survey process. In the CFS, nonsampling error can be attributed to many sources: inability to obtain information about all units in the sample; response errors; differences in the interpretation of the questions; mistakes in coding or keying the data obtained; and other errors of collection, response, coverage, and processing. Although no direct measurement of the potential biases due to nonsampling error has been obtained, precautionary steps were taken in all phases of the collection, processing, and tabulation of the data in an effort to minimize their influence. The Census Bureau recommends that individuals using estimates in this report incorporate this information into their analyses, as nonsampling error could affect the conclusions drawn from these estimates. A potential source of bias in the estimates is nonresponse. Nonresponse is defined as the inability to obtain all the intended measurements or responses from all units in the sample. Four levels of nonresponse can occur in the CFS: item, shipment, quarter (reporting week), and establishment. Item nonresponse occurs either when a question is unanswered or the response to the question fails computer or analyst edits. Nonresponse to the shipment value or weight items is corrected by imputation, which is the procedure by which a missing value is replaced by a predicted value obtained from an appropriate model. (See Appendix C for a description of the imputation procedure.) Shipment, quarter, and establishment nonresponse are used to describe the inability to obtain any of the substantive measurements about a sampled shipment, quarter, or establishment, respectively. Shipment and quarter nonresponse are corrected by reweighting. Reweighting allocates characteristics to the nonrespondents in proportion to the characteristics observed for the respondents. The amount of bias introduced by this nonresponse adjustment procedure depends on the extent to which the nonrespondents differ, characteristically, from the respondents. Establishment nonresponse is corrected during the estimation procedure by the industrylevel adjustment weight. (See Appendix C for a description of the estimation procedure.) In most cases of establishment nonresponse, none of the four questionnaires have been returned to the Census Bureau, after several attempts to elicit a response. Approximately 63 percent of the establishments provided at least one quarter of data that contributed to tabulation. B–2 Appendix B Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Some possible sources of bias that are attributed to respondent-conducted sampling include misunderstanding the definition of a shipment, constructing an incomplete frame of shipments from which to sample, ordering the shipment sampling frame by selected shipment characteristics, and selecting shipment records by a method other than the one specified in the questionnaire’s instructions. We often contact respondents who reported shipments having an untypically large value or weight when compared to the rest of their reported shipments. Upon contact, if we are able to collect information on all of a given respondent’s large shipments made either for a particular reporting week or for the entire quarter, then we identify these large shipments as certainty shipments. (See Appendix C for a description of how certainty shipments are used in the estimation process.) DEFINITION OF TERMS Confidentiality Title 13 of the United States Code authorizes the Census Bureau to conduct censuses and surveys. Section 9 of the same Title requires that any information collected from the public under the authority of Title 13 be maintained as confidential. Section 214 of Title 13 and Sections 3559 and 3571 of Title 18 of the United States Code provide for the imposition of penalties of up to 5 years in prison and up to $250,000 in fines for wrongful disclosure of confidential census information. In accordance with Title 13, no estimates are published that would disclose the operations of an individual firm. The Census Bureau’s internal Disclosure Review Board sets the confidentiality rules for all data releases. A checklist approach is used to ensure that all potential risks to the confidentiality of the data are considered and addressed. Disclosure Limitation Disclosure is the release of data that have been deemed confidential. It generally reveals information about a specific individual or establishment or permits deduction of sensitive information about a particular individual or establishment. Disclosure limitation is the process used to protect the confidentiality of the survey data provided by an individual or firm. Using disclosure limitation procedures, the Census Bureau modifies or removes the characteristics that put confidential information at risk for disclosure. Although it may appear that a table shows information about a specific individual or business, the Census Bureau has taken steps to disguise or suppress the original data while making sure the results are still useful. The techniques used by the Census Bureau to protect confidentiality in tabulations vary, depending on the type of data. Unpublished Estimates Some unpublished estimates can be derived directly from this report by subtracting published estimates from their respective totals. However, the estimates obtained by such subtraction would be subject to poor response, high sampling variability, or other factors that may make them potentially misleading. Individuals who use estimates in this report to create new estimates should cite the Census Bureau as the source of only the original estimates. Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Appendix B B–3 Table B–1a. Estimated Measures of Reliability for Shipment Characteristics by Mode of Transportation for State of Origin: 2002 Value Mode of transportation Coefficient of variation of number 4.5 5.4 4.3 6.9 11.4 39.1 33.8 33.8 – – 28.7 S 6.3 8.3 32.2 S 48.8 S 26.8 Tons Coefficient of variation of number 10.2 10.7 13.4 14.2 20.1 17.3 S S – – 29.3 S 48.5 22.4 40.3 S S S 40.3 Ton miles Coefficient of variation of number 9.8 10.0 14.5 15.6 22.8 17.7 35.9 35.9 – – 34.9 S 34.2 31.3 36.9 S S S 46.0 Average miles per shipment coefficient of variation 8.6 13.9 12.3 9.3 22.9 8.8 S S – – 5.7 S 4.8 4.8 15.6 30.6 27.2 S 34.1 [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] Standard error of percentage – 1.1 2.9 3.4 3.2 3.4 .2 .2 – – .3 S 1.0 1.0 .3 S .1 S .6 Standard error of percentage – 1.2 4.5 2.9 4.2 3.1 S S – – – S 1.1 .1 .2 S S S .6 Standard error of percentage – 1.9 6.2 4.5 3.0 5.0 5.3 5.3 – – – S 2.0 .4 1.1 S S S .6 Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Table B–1b. Estimated Standard Errors of Percentage for Shipment Characteristics by Mode of Transportation for State of Origin: Percent of Total for 2002 and 1997 Value (percent) Mode of transportation 2002 1997 – 1.8 3.8 2.1 2.0 3.8 .2 .2 – – .4 – 1.7 1.4 .4 S – S .7 2002 – 1.2 4.5 2.9 4.2 3.1 S S – – – S 1.1 .1 .2 S S S .6 1997 – .5 3.2 3.7 3.7 1.5 2.7 2.7 – – – – .3 – .3 S – S .3 2002 – 1.9 6.2 4.5 3.0 5.0 5.3 5.3 – – – S 2.0 .4 1.1 S S S .6 1997 – .9 3.3 2.6 1.4 2.8 4.8 4.8 – – – S .9 .3 .7 S – S .2 Tons (percent) Ton miles (percent) [Estimates are shown as percents and are based on data from the 2002 and 1997 Commodity Flow Surveys] Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes – 1.1 2.9 3.4 3.2 3.4 .2 .2 – – .3 S 1.0 1.0 .3 S .1 S .6 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. B–4 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–2. Estimated Measures of Reliability for Shipment Characteristics by Total Modal Activity for State of Origin: 2002 Ton miles Mode of transportation Coefficient of variation of number 9.8 14.5 17.7 35.9 – – 34.9 S S 46.0 Average miles per shipment coefficient of variation 8.6 12.3 8.8 S – – 5.7 31.6 S 34.1 [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] Standard error of percentage – 6.2 5.0 5.3 – – – S S .6 Total Truck Rail Shallow draft Great Lakes Deep draft Air Parcel, U.S. Postal Service or courier Pipeline Other and unknown modes – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–5 Table B–3. Estimated Measures of Reliability for Shipment Characteristics by Mode of Transportation and Distance Shipped for State of Origin: 2002 Value Tons Standard error of percentage – 3.1 .5 1.7 1.5 3.3 .7 .7 .4 .1 – 3.7 .5 1.8 1.8 3.7 .8 .8 .4 – – 3.8 .8 1.6 1.8 .7 .7 .5 .3 S – 1.0 .6 1.8 1.7 .6 .9 .6 .5 S – 5.5 1.8 3.8 1.8 .9 .6 .4 .2 – – S S 3.1 5.9 S 4.9 4.5 2.7 – – S – 12.4 S 11.7 – – – – – S – 12.4 S 11.7 – – – – Coefficient of variation of number 10.2 12.8 28.3 15.2 13.4 17.8 16.1 10.7 21.3 27.1 10.7 13.2 28.7 16.2 13.4 16.6 16.2 8.3 27.4 S 13.4 13.3 29.0 23.7 18.2 18.3 11.0 14.8 31.3 S 14.2 13.6 21.2 30.7 22.9 12.3 10.1 14.2 35.2 S 20.1 15.3 38.8 30.7 22.4 S 28.7 40.0 32.1 – 17.3 S 41.6 33.5 23.1 26.6 34.6 35.4 47.6 – S S – 28.0 41.4 39.1 – – – – S S – 28.0 41.4 39.1 – – – – Standard error of percentage – 2.4 1.6 1.9 1.5 1.8 .3 .3 .2 – – 2.4 1.6 1.9 1.5 1.7 .3 .3 .2 S – 3.8 1.6 2.4 1.9 .7 .3 .3 .2 S – 4.5 1.0 3.7 2.3 .9 .5 .4 .3 S – 4.1 2.7 1.6 .6 S .3 .3 – – – S 1.1 6.4 5.2 4.5 2.4 .9 .4 – S S – 12.4 5.4 7.9 – – – – S S – 12.4 5.4 7.9 – – – – Ton miles Coefficient of variation of number 9.8 17.6 27.0 14.1 14.6 20.2 17.5 9.9 21.7 29.1 10.0 17.9 27.4 15.1 14.6 18.6 17.7 8.8 28.1 S 14.5 14.8 28.0 25.4 20.2 19.0 11.4 14.4 32.6 S 15.6 23.0 23.7 31.8 24.4 12.5 10.6 13.6 36.6 S 22.8 15.7 37.1 28.2 22.7 S 28.7 39.1 33.7 – 17.7 S S 37.7 22.1 25.1 35.2 36.6 48.1 – 35.9 S – 28.0 44.1 39.3 – – – – 35.9 S – 28.0 44.1 39.3 – – – – Standard error of percentage – .4 .9 2.3 1.7 4.4 .9 1.4 1.4 .1 – .5 1.0 2.5 1.6 4.2 .9 1.2 1.3 S – .8 1.1 2.2 2.5 1.7 1.6 1.7 1.2 S – .6 .3 2.9 2.9 1.6 1.9 1.9 1.6 S – 1.6 2.3 2.8 1.7 S 2.4 2.6 1.0 – – S S 4.4 3.8 5.2 3.3 2.1 1.7 – – S – 12.5 5.2 10.0 – – – – – S – 12.5 5.2 10.0 – – – – Coefficient of variation of number 4.5 12.3 8.9 10.5 8.3 24.6 10.8 12.5 10.8 30.3 5.4 12.6 8.8 11.3 10.2 28.5 13.6 16.8 13.6 47.4 4.3 12.7 8.8 11.1 10.8 9.7 13.2 14.1 16.8 S 6.9 6.0 13.9 10.9 11.3 9.5 11.1 12.4 17.8 S 11.4 17.7 16.5 29.4 18.8 29.6 28.7 34.1 32.6 – 39.1 S S 32.8 24.1 S 34.9 36.1 43.3 – 33.8 S – 39.9 S 47.0 – – – – 33.8 S – 39.9 S 47.0 – – – – [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] Mode of transportation and distance shipped (based on Great Circle Distance) Total Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Single modes Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Truck Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more For hire truck Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Private truck Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Rail Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Water Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Shallow draft Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more See footnotes at end of table. B–6 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–3. Estimated Measures of Reliability for Shipment Characteristics by Mode of Transportation and Distance Shipped for State of Origin: 2002 Con. Value Tons Standard error of percentage Coefficient of variation of number Standard error of percentage Ton miles Coefficient of variation of number Standard error of percentage Coefficient of variation of number [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] Mode of transportation and distance shipped (based on Great Circle Distance) Single modes Con. Great Lakes Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Deep draft Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Air (includes truck and air) Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Pipeline Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Multiple modes Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Parcel, U.S. Postal Service or courier Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Truck and rail Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Truck and water Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more See footnotes at end of table. – – – – – – – – – – – – – – – – – – – – 28.7 – S 42.0 33.7 32.7 27.2 45.6 40.7 S S S – – – – – – – – 6.3 16.6 19.2 18.2 8.7 8.6 8.9 16.9 12.4 30.8 8.3 17.6 19.6 18.9 8.7 11.7 11.3 17.7 18.8 46.1 32.2 – S S S S 42.2 36.0 44.3 S S – – – – S S S – S – – – – – – – – – – – – – – – – – – – – – – S 3.8 6.0 6.5 5.2 3.0 5.9 S S S – – – – – – – – – 1.2 .7 2.1 1.1 1.2 1.0 1.5 .7 .9 – 1.3 .9 2.4 1.6 1.4 1.0 1.5 .7 .2 – – S S S S 9.4 8.9 12.2 S S – – – – S S S – S – – – – – – – – – – – – – – – – – – – – 29.3 – S 49.8 38.9 40.1 32.4 34.6 S S S S – – – – – – – – 48.5 27.1 40.6 S 24.7 S 27.7 29.1 S 27.6 22.4 34.1 20.0 14.9 25.4 23.3 29.1 28.2 39.0 S 40.3 – S S S S 47.6 S S S S – – – – S S S – S – – – – – – – – – – – – – – – – – – – – – – S 2.8 6.8 5.7 3.5 4.1 S S S S – – – – – – – – – 1.6 .7 S 3.0 S 3.1 5.4 S 1.2 – 3.4 .9 2.5 2.3 2.0 1.9 1.5 1.1 S – – S S S S 7.6 S S S S – – – – S S S – S – – – – – – – – – – – – – – – – – – – – 34.9 – S S 38.8 46.6 31.6 36.9 S S S S S S S S S S S S 34.2 13.9 40.0 S 29.3 S 29.6 34.2 S 29.5 31.3 16.6 20.4 14.4 28.4 24.7 29.1 28.4 39.4 S 36.9 – S S S S 47.1 S S S S – – – – S S S – S – – – – – – – – – – – – – – – – – – – – – – S S 4.8 6.5 5.6 4.6 S S S S S S S S S S S S – – – S 1.2 S 3.3 5.8 S 4.6 – – .2 1.2 2.2 1.8 2.6 2.4 2.3 S – – S S S S 7.3 S S S S – – – – S S S – S Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–7 Table B–3. Estimated Measures of Reliability for Shipment Characteristics by Mode of Transportation and Distance Shipped for State of Origin: 2002 Con. Value Tons Standard error of percentage Coefficient of variation of number Standard error of percentage Ton miles Coefficient of variation of number Standard error of percentage Coefficient of variation of number [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] Mode of transportation and distance shipped (based on Great Circle Distance) Multiple modes Rail and water Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Other multiple modes Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Other and unknown modes Less than 50 miles 50 to 99 miles 100 to 249 miles 250 to 499 miles 500 to 749 miles 750 to 999 miles 1,000 to 1,499 miles 1,500 to 1,999 miles 2,000 miles or more Con. 48.8 – – S – S – – – S S S – – – S S – – – 26.8 24.8 S 38.8 40.0 27.0 S S S S – – – S – S – – – S S S – – – S S – – – – 7.2 S 3.3 3.2 2.9 S S S S S – – S – S – – – S S S – – – S S – – – 40.3 S 38.9 38.6 S S 37.9 S S S S – – S – S – – – S S S – – – S S – – – – S 3.1 3.4 S S 1.2 S S S S – – S – S – – – S S S – – – S S – – – 46.0 S 43.4 36.7 S S 37.1 S S S S – – S – S – – – S S S – – – S S – – – – S 1.1 3.4 S S 7.1 S S S – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. B–8 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–4. Estimated Measures of Reliability for Shipment Characteristics by Mode of Transportation and Shipment Weight for State of Origin: 2002 Value Mode of transportation and shipment weight Coefficient of variation of number 4.5 6.4 13.0 7.8 11.3 11.5 7.9 9.4 16.9 14.5 5.4 11.8 21.4 11.2 12.7 10.4 9.0 10.0 16.9 14.0 4.3 13.5 22.2 11.5 12.5 10.9 8.7 7.0 14.0 34.5 6.9 27.3 37.6 14.5 7.4 15.6 8.1 9.6 19.7 36.0 11.4 22.0 18.5 14.1 25.5 18.1 13.9 16.8 27.2 45.3 39.1 S – S – – S S S 19.6 33.8 – – – – – – – S 33.7 33.8 – – – – – – – S 33.7 Standard error of percentage – .7 .8 .8 .2 .2 1.2 2.7 .7 .4 – .5 .8 1.1 .3 .2 1.4 3.3 .9 .4 – .6 .9 1.2 .3 .2 1.5 2.6 .7 .2 – 1.3 1.2 1.3 .4 .3 1.0 3.1 .7 .1 – 1.4 .5 1.8 .6 .3 3.0 3.5 .9 .5 – S – S – – S S S 13.0 – – – – – – – – S 3.0 – – – – – – – – S 3.0 Tons Coefficient of variation of number 10.2 9.5 36.8 12.9 13.0 21.0 15.4 16.7 23.7 24.0 10.7 14.3 13.3 15.2 14.0 22.8 15.8 16.8 23.8 25.1 13.4 15.7 13.0 15.2 13.9 22.9 15.9 17.1 24.0 32.5 14.2 30.0 25.5 14.2 13.8 9.5 7.6 14.0 31.0 29.1 20.1 22.0 18.3 16.6 16.9 27.9 19.6 29.7 19.4 49.9 17.3 S – S – – S 42.8 S 19.3 S – – – – – – – S S S – – – – – – – S S Standard error of percentage – – .1 .1 – – .6 4.9 3.9 4.4 – – – .1 – – .6 5.1 3.9 4.5 – – – .1 – .1 1.0 4.5 4.6 .8 – – – – – – .4 5.5 5.6 1.1 – – – .3 .2 .4 3.3 5.4 4.7 1.1 – S – S – – S 4.3 S 4.3 S – – – – – – – S S S – – – – – – – S S Ton miles Coefficient of variation of number 9.8 14.5 S 9.5 7.5 5.4 7.3 13.2 42.9 20.1 10.0 23.1 25.4 13.9 8.2 8.0 6.5 12.9 43.0 19.7 14.5 25.9 25.0 14.2 7.5 8.5 6.0 13.8 44.9 38.8 15.6 33.2 38.1 15.8 8.5 11.2 7.5 15.4 48.0 S 22.8 42.8 26.8 22.2 21.1 14.3 13.8 25.7 40.1 45.8 17.7 S – S – – S 35.6 48.2 21.3 35.9 – – – – – – – S 36.1 35.9 – – – – – – – S 36.1 Standard error of percentage – – S – – – .5 6.7 3.2 6.9 – – – – – – .4 6.8 3.3 6.8 – – – .2 – – .9 5.0 5.0 .9 – – – .2 – – 1.0 5.4 6.1 S – .2 – .3 .1 .2 2.1 5.9 3.0 2.9 – S – S – – S 6.2 .6 6.2 – – – – – – – – S 1.2 – – – – – – – – S 1.2 Average miles per shipment coefficient of variation 8.6 7.0 15.3 8.3 12.2 21.5 17.3 8.4 16.5 10.8 13.9 35.0 22.9 7.5 11.7 19.3 17.3 8.5 16.5 9.6 12.3 24.6 25.8 8.5 12.7 19.2 17.2 8.8 17.3 S 9.3 13.2 14.8 8.2 10.3 14.5 7.0 5.9 19.3 45.6 22.9 37.5 29.6 17.2 25.6 15.1 23.7 12.2 15.4 S 8.8 31.6 – 31.6 – – 21.0 12.5 33.2 9.0 S – – – – – – – 27.9 S S – – – – – – – 27.9 S [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] Total Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Single modes Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Truck2 Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more For hire truck Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Private truck Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Rail Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Water Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Shallow draft Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more See footnote at end of table. Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–9 Table B–4. Estimated Measures of Reliability for Shipment Characteristics by Mode of Transportation and Shipment Weight for State of Origin: 2002 Con. Value Mode of transportation and shipment weight Coefficient of variation of number Standard error of percentage Tons Coefficient of variation of number Standard error of percentage Ton miles Coefficient of variation of number Standard error of percentage Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] Single modes Con. Great Lakes Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Deep draft Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Air (includes truck and air) Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Pipeline3 Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Multiple modes Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Parcel, U.S. Postal Service or courier Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Truck and rail Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Truck and water Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more See footnote at end of table. – – – – – – – – – – – – – – – – – – – – 28.7 41.3 37.7 30.8 S S 43.1 S S – S – – – – – – – – S 6.3 9.4 22.2 11.0 22.4 S S 26.0 S S 8.3 9.5 22.2 11.0 22.4 S S – – – 32.2 S S S – S S 30.8 S S S S S S – S – S – – – – – – – – – – – – – – – – – – – – – – – 9.3 3.3 8.6 S S 3.8 S S – S – – – – – – – – S – 2.5 3.2 1.9 .3 S S 2.4 S S – 2.0 3.1 2.0 .3 S S – – – – S S S – S S 10.2 S S S S S S – S – S – – – – – – – – – – – – – – – – – – – – – – 29.3 S S 35.6 S S S S S – S – – – – – – – – S 48.5 16.2 S 13.6 31.7 S S 35.2 S S 22.4 16.2 S 13.4 33.7 S S – – – 40.3 S S S – S S 37.8 S S S S S S – S – S – – – – – – – – – – – – – – – – – – – – – – – S S 5.8 S S S S S – S – – – – – – – – S – 5.1 S 4.1 1.1 S S 9.4 S S – 4.2 S 5.1 1.2 S S – – – – S S S – S S 12.1 S S S S S S – S – S – – – – – – – – – – – – – – – – – – – – – – 34.9 S S 36.0 S S S S S – S S S S S S S S S S 34.2 20.0 S 15.6 30.6 S S 35.9 S S 31.3 20.0 S 15.7 30.6 S S – – – 36.9 S S S – S S 41.3 S S S S S S – S – S – – – – – – – – – – – – – – – – – – – – – – – S S 4.5 S S S S S – S S S S S S S S S S – 3.7 S 2.4 .5 S S 10.5 S S – 5.8 S 5.3 1.0 S S – – – – S S S – S S 11.0 S S S S S S – S – S – – – – – – – – – – – – – – – – – – – – – – 5.7 5.5 15.3 7.9 25.3 30.0 19.8 29.8 31.6 – S S S S S S S S S S 4.8 4.5 11.2 7.7 27.0 29.7 26.6 20.7 31.6 28.3 4.8 4.5 11.2 7.7 27.2 22.0 29.8 – – – 15.6 31.6 31.6 31.6 – 31.6 29.8 17.9 31.6 31.6 30.6 31.6 31.6 37.4 – 31.8 – 31.6 – – B–10 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–4. Estimated Measures of Reliability for Shipment Characteristics by Mode of Transportation and Shipment Weight for State of Origin: 2002 Con. Value Mode of transportation and shipment weight Coefficient of variation of number Standard error of percentage Tons Coefficient of variation of number Standard error of percentage Ton miles Coefficient of variation of number Standard error of percentage Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] Multiple modes Rail and water Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Con. 48.8 – – – – – – S – S S S S S S – – S S S 26.8 43.6 43.1 37.4 42.4 44.3 37.3 30.5 S S – – – – – – – S – S S S S S S – – S S S – 5.1 3.2 2.4 .8 .6 4.9 6.7 S S S – – – – – – S – S S S S S S – – S S S 40.3 36.7 42.3 32.5 43.0 31.9 26.9 31.0 47.4 S S – – – – – – S – S S S S S S – – S S S – 1.2 1.0 2.8 1.0 .4 5.4 9.4 3.6 S S – – – – – – S – S S S S S S – – S S S 46.0 S S 43.6 42.7 S S S 49.1 S S – – – – – – S – S S S S S S – – S S S – S S 2.3 .1 S S S 1.3 S 27.2 – – – – – – 27.9 – 30.6 S 31.6 31.6 31.6 31.6 – – 37.8 31.6 31.6 34.1 38.3 29.9 24.1 S 34.6 17.9 21.8 25.6 S Other multiple modes Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more Other and unknown modes Less than 50 lb 50 to 99 lb 100 to 499 lb 500 to 749 lb 750 to 999 lb 1,000 to 9,999 lb 10,000 to 49,999 lb 50,000 to 99,999 lb 100,000 lb or more – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–11 Table B–5a. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity for State of Origin: 2002 Value Tons Coefficient of variation of number 10.2 S 30.6 34.9 S S 26.8 29.6 41.9 S – S 21.2 S 32.0 – 25.9 29.2 S S 36.1 S 36.7 33.8 33.5 30.4 S 24.6 26.9 11.5 22.7 Ton miles Coefficient of variation of number 9.8 S 25.4 43.3 S S 33.1 26.5 S S – S 30.8 S 34.6 – 36.3 46.2 40.1 S 40.8 36.7 36.0 47.4 S 45.0 S 31.2 37.4 14.8 29.0 Average miles per shipment coefficient of variation 8.6 S 38.8 S S 36.6 41.2 S 40.8 29.9 – 42.2 15.4 S 45.6 – 23.6 16.2 S 19.8 41.9 S S 33.1 34.4 31.8 21.9 24.1 5.8 6.8 25.6 [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code Commodity description Coefficient of variation of number 4.5 S 32.2 34.4 32.4 S S 18.5 44.4 S – 43.2 18.0 S 32.6 – 27.6 33.7 38.6 23.3 17.5 48.8 17.0 34.2 44.7 14.4 41.5 28.9 21.1 14.3 41.1 Standard error of percentage – S .4 .5 .3 S S .9 .6 S – – – S – – .3 .2 .2 .4 1.6 – .6 1.0 – .1 .1 .4 .8 .4 .8 Standard error of percentage – S 2.6 1.5 S S .9 1.3 .5 S – S 3.8 S – – 1.1 .8 S S .1 S .6 .2 – .6 S .2 .1 – 1.2 Standard error of percentage – S 4.2 1.9 S S 1.8 2.2 S S – S 4.4 S – – .1 .1 .1 S .2 .1 .7 .4 S .4 S .4 .4 .1 1.8 Total 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 43 Live animals and live fish Cereal grains Other agricultural products Animal feed and products of animal origin, n.e.c. Meat, fish, seafood, and their preparations Milled grain products and preparations, and bakery products Other prepared foodstuffs and fats and oils Alcoholic beverages Tobacco products Monumental or building stone Natural sands Gravel and crushed stone Nonmetallic minerals n.e.c. Metallic ores and concentrates Coal Gasoline and aviation turbine fuel Fuel oils Coal and petroleum products, n.e.c. Basic chemicals Pharmaceutical products Fertilizers Chemical products and preparations, n.e.c. Plastics and rubber Logs and other wood in the rough Wood products Pulp, newsprint, paper, and paperboard Paper or paperboard articles Printed products Textiles, leather, and articles of textiles or leather Nonmetallic mineral products Base metal in primary or semifinished forms and in finished basic shapes Articles of base metal Machinery Electronic and other electrical equipment and components and office equipment Motorized and other vehicles (including parts) Transportation equipment, n.e.c. Precision instruments and apparatus Furniture, mattresses and mattress supports, lamps, lighting fittings, and illuminated signs Miscellaneous manufactured products Waste and scrap Mixed freight Commodity unknown 16.3 17.9 26.0 13.7 31.8 S 34.5 29.1 28.1 36.8 31.7 38.6 .4 .7 1.9 1.0 3.4 S .2 .5 2.5 .6 2.6 – 17.9 33.5 42.8 9.4 21.4 S S 27.4 21.9 42.1 12.2 29.5 .3 .5 .4 – .3 S S – .4 3.3 .4 – 15.9 49.2 49.0 13.5 24.4 S 45.0 28.1 28.4 42.5 9.4 40.2 .3 .9 .9 .1 .8 S – .2 .7 4.6 .3 – 31.9 50.0 16.3 13.1 13.1 22.2 30.2 18.4 7.9 18.4 18.7 24.4 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. B–12 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–5b. Estimated Standard Errors for Shipment Characteristics by Two Digit Commodity for State of Origin: Percent of Total for 2002 and 1997 Value (percent) Commodity description 2002 1997 – S .4 .4 .5 .7 .3 .6 .4 – S – – S – – .4 .2 .2 .2 .5 .1 .7 .4 – .1 .1 .5 1.0 .4 .3 2002 – S 2.6 1.5 S S .9 1.3 .5 S – S 3.8 S – – 1.1 .8 S S .1 S .6 .2 – .6 S .2 .1 – 1.2 1997 – S 1.5 .9 1.7 .3 .7 .8 .6 – S .6 3.7 S .2 S .8 .7 S .6 .1 .5 .3 .4 – .2 .1 .1 .2 – 2.2 2002 – S 4.2 1.9 S S 1.8 2.2 S S – S 4.4 S – – .1 .1 .1 S .2 .1 .7 .4 S .4 S .4 .4 .1 1.8 1997 – S 2.8 1.5 .9 .6 1.4 1.0 .9 – S .3 4.0 – – – .2 .1 S S S .4 1.0 S S .1 – .3 .6 – 1.2 Tons (percent) Ton miles1 (percent) [Estimates are shown as percents and are based on data from the 2002 and 1997 Commodity Flow Surveys] SCTG code Total 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 43 Live animals and live fish Cereal grains Other agricultural products Animal feed and products of animal origin, n.e.c Meat, fish, seafood, and their preparations Milled grain products and preparations, and bakery products Other prepared foodstuffs and fats and oils Alcoholic beverages Tobacco products Monumental or building stone Natural sands Gravel and crushed stone Nonmetallic minerals n.e.c. Metallic ores and concentrates Coal Gasoline and aviation turbine fuel Fuel oils Coal and petroleum products, n.e.c. Basic chemicals Pharmaceutical products Fertilizers Chemical products and preparations, n.e.c. Plastics and rubber Logs and other wood in the rough Wood products Pulp, newsprint, paper, and paperboard Paper or paperboard articles Printed products Textiles, leather, and articles of textiles or leather Nonmetallic mineral products Base metal in primary or semifinished forms and in finished basic shapes Articles of base metal Machinery Electronic and other electrical equipment and components and office equipment Motorized and other vehicles (including parts) Transportation equipment, n.e.c. Precision instruments and apparatus Furniture, mattresses and mattress supports, lamps, lighting fittings, and illuminated signs Miscellaneous manufactured products Waste and scrap Mixed freight Commodity unknown – S .4 .5 .3 S S .9 .6 S – – – S – – .3 .2 .2 .4 1.6 – .6 1.0 – .1 .1 .4 .8 .4 .8 .4 .7 1.9 1.0 3.4 S .2 .5 2.5 .6 2.6 – .3 .4 .4 1.0 4.0 .3 .2 .3 2.0 .2 .3 .4 .3 .5 .4 – .3 S S – .4 3.3 .4 – .4 .1 – – .5 – – .2 .2 .7 .1 .1 .3 .9 .9 .1 .8 S – .2 .7 4.6 .3 – 1.2 .3 .2 .3 1.9 – S .3 .4 .8 .1 – – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–13 Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage ALL COMMODITIES Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 4.5 5.4 4.3 6.9 11.4 39.1 33.8 33.8 – – 28.7 S 6.3 8.3 32.2 S 48.8 S 26.8 – 1.1 2.9 3.4 3.2 3.4 .2 .2 – – .3 S 1.0 1.0 .3 S .1 S .6 10.2 10.7 13.4 14.2 20.1 17.3 S S – – 29.3 S 48.5 22.4 40.3 S S S 40.3 – 1.2 4.5 2.9 4.2 3.1 S S – – – S 1.1 .1 .2 S S S .6 9.8 10.0 14.5 15.6 22.8 17.7 35.9 35.9 – – 34.9 S 34.2 31.3 36.9 S S S 46.0 – 1.9 6.2 4.5 3.0 5.0 5.3 5.3 – – – S 2.0 .4 1.1 S S S .6 8.6 13.9 12.3 9.3 22.9 8.8 S S – – 5.7 S 4.8 4.8 15.6 30.6 27.2 S 34.1 SCTG 01, LIVE ANIMALS AND LIVE FISH Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes S S S S S – – – – – – – – – – – – – – S S S S S – – – – – – – – – – – – – – S S S S S – – – – – – – – – – – – – – S S S S S – – – – – – – – – – – – – – S S S S S – – – – – – S – – – – – – – S S S S S – – – – – – S – – – – – – – S S S 29.8 31.6 – – – – – – S – – – – – – – SCTG 02, CEREAL GRAINS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 32.2 32.7 48.1 50.0 S 45.4 44.3 44.3 – – – – – – – – – – S – 1.6 10.1 11.9 S 8.5 9.3 9.3 – – – – – – – – – – S 30.6 31.1 49.0 S S 42.6 45.8 45.8 – – – – – – – – – – S – 1.5 10.9 S S 9.3 9.9 9.9 – – – – – – – – – – S 25.4 25.2 S S S 39.5 45.4 45.4 – – – S – – – – – – S – 2.2 S S S 10.7 10.9 10.9 – – – S – – – – – – S 38.8 38.3 25.6 23.3 29.0 15.3 18.7 18.7 – – – S – – – – – – S B–14 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 03, OTHER AGRICULTURAL PRODUCTS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 34.4 34.2 36.0 49.6 S S S S – – S – S – – – – S – – .2 10.9 10.8 S S S S – – S – S – – – – S – 34.9 34.9 S 40.4 S S S S – – S – S – – – – S – – – S 10.9 S S S S – – S – S – – – – S – 43.3 43.3 39.5 49.3 S S S S – – S S S – – – – S – – – 19.0 9.9 S S S S – – S S S – – – – S – S S S 27.9 S 30.0 24.8 24.8 – – 31.6 S 31.6 – – – – 31.6 – SCTG 04, ANIMAL FEED AND PRODUCTS OF ANIMAL ORIGIN, N.E.C. Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 32.4 32.4 35.0 32.8 S 48.4 – – – – – – S S – – – S S – .9 5.7 12.7 S 5.9 – – – – – – S S – – – S S S S S S S 47.7 – – – – – – S S – – – S 49.6 S S S S S 5.4 – – – – – – S S – – – S 5.8 S S S S S S – – – – – S S S – – – S S S S S S S S – – – – – S S S – – – S S S S S S S 24.0 – – – – – S S 31.6 – – – 31.6 30.7 SCTG 05, MEAT, FISH, SEAFOOD, AND THEIR PREPARATIONS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – S S S – – – – S S S S S S – – – – – – S S S – – – – S 36.6 37.5 37.5 6.3 S – – – – – – S 35.3 35.3 – – – – 38.4 Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–15 Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 06, MILLED GRAIN PRODUCTS AND PREPARATIONS, AND BAKERY PRODUCTS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes S S S S 46.4 S S S – – S – S S – – – – S S S S S 9.1 S S S – – S – S S – – – – S 26.8 26.9 24.9 27.1 36.2 S S S – – S – S S – – – – S – .2 5.1 9.5 8.8 S S S – – S – S S – – – – S 33.1 33.2 28.3 28.6 39.8 S S S – – S S S S – – – – S – .4 7.9 10.2 9.4 S S S – – S S S S – – – – S 41.2 40.8 42.9 14.0 S 18.9 31.6 31.6 – – 31.6 S 44.5 44.5 – – – – S SCTG 07, OTHER PREPARED FOODSTUFFS AND FATS AND OILS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 18.5 18.9 20.0 19.9 25.6 26.3 – – – – S – S S S – – – S – 1.6 2.5 5.2 5.6 2.1 – – – – S – S S S – – – S 29.6 31.1 35.8 29.8 S 27.3 – – – – S – S 48.4 S – – – S – 3.4 7.1 6.5 S 6.4 – – – – S – S – S – – – S 26.5 28.1 34.7 29.6 S 25.4 – – – – S S S 35.8 S – – – S – 3.9 8.6 7.9 S 8.2 – – – – S S S – S – – – S S S S 10.8 S 22.4 – – – – 31.6 S 27.1 27.6 31.6 – – – S SCTG 08, ALCOHOLIC BEVERAGES Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 44.4 44.4 44.9 S S S – – – – – – – – – – – – – – – 2.4 S S S – – – – – – – – – – – – – 41.9 41.9 41.8 S S S – – – – – – – – – – – – – – – 2.8 S S S – – – – – – – – – – – – – S S S S S S – – – – – S – – – – – – – S S S S S S – – – – – S – – – – – – – 40.8 40.8 39.2 28.5 27.8 29.9 – – – – – S – – – – – – – B–16 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 09, TOBACCO PRODUCTS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes S S S – S – – – – – – – – – – – – – – S S S – S – – – – – – – – – – – – – – S S S – S – – – – – – – – – – – – – – S S S – S – – – – – – – – – – – – – – S S S – S – – – – – – S – – – – – – – S S S – S – – – – – – S – – – – – – – 29.9 29.9 29.9 – 29.9 – – – – – – S – – – – – – – SCTG 10, MONUMENTAL OR BUILDING STONE Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – S – – – – – – – – – – – – – – – – – – S – – – – – – – – – – – – – – – – – – S – – – – – – – SCTG 11, NATURAL SANDS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 43.2 43.5 S S S 46.5 S S – – – – – – – – – – S – 1.2 S S S 1.7 S S – – – – – – – – – – S S S S S S 47.0 S S – – – – – – – – – – S S S S S S 2.7 S S – – – – – – – – – – S S S S S S S S S – – – S – – – – – – S S S S S S S S S – – – S – – – – – – S 42.2 42.6 S S 24.9 26.5 31.6 31.6 – – – S – – – – – – 29.8 Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–17 Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 12, GRAVEL AND CRUSHED STONE Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 18.0 18.5 22.8 17.1 32.4 38.9 45.0 45.0 – – – – S – – – S S S – 2.3 7.8 4.8 5.5 5.6 2.9 2.9 – – – – S – – – S S S 21.2 21.8 27.5 19.0 38.5 46.1 45.4 45.4 – – – – S – – – S S S – 2.8 8.3 5.0 6.6 4.1 4.6 4.6 – – – – S – – – S S S 30.8 27.4 37.0 30.1 44.3 47.0 46.5 46.5 – – – S S – – – S S S – 5.8 17.9 5.8 10.0 10.6 11.4 11.4 – – – S S – – – S S S 15.4 15.0 15.1 20.8 17.3 24.3 26.3 26.3 – – – S 30.1 – – – 30.6 31.7 40.9 SCTG 13, NONMETALLIC MINERALS N.E.C. Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes S S S S S S – – – – – – 48.9 48.9 – – – – S S S S S S S – – – – – – 3.5 3.5 – – – – S S S S S S S – – – – – – 44.3 44.3 – – – – S S S S S S S – – – – – – .7 .7 – – – – S S S S S S S – – – – – S 48.0 48.0 – – – – S S S S S S S – – – – – S .6 .6 – – – – S S S S 28.0 34.5 31.6 – – – – – S 24.1 24.1 – – – – S SCTG 14, METALLIC ORES AND CONCENTRATES Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 32.6 32.5 32.8 32.8 S S – – – – S – S S – – – – – – .7 1.2 11.0 S S – – – – S – S S – – – – – 32.0 32.0 32.0 34.0 S S – – – – S – S S – – – – – – – 2.5 9.2 S S – – – – S – S S – – – – – 34.6 34.6 39.5 39.0 S S – – – – S S S S – – – – – – – 8.5 10.3 S S – – – – S S S S – – – – – 45.6 30.4 32.5 S 31.6 31.6 – – – – 31.6 S 31.6 31.6 – – – – – B–18 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 15, COAL Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – S – – – – – – – – – – – – – – – – – – S – – – – – – – – – – – – – – – – – – S – – – – – – – SCTG 17, GASOLINE AND AVIATION TURBINE FUEL Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 27.6 27.6 27.6 24.6 45.5 – – – – – – – – – – – – – – – – – 13.7 14.1 – – – – – – – – – – – – – – 25.9 25.9 25.9 26.2 43.0 – – – – – – – – – – – – – – – – – 13.7 14.0 – – – – – – – – – – – – – – 36.3 36.3 36.3 23.7 49.6 – – – – – – S – – – – – – – – – – 16.0 14.1 – – – – – – S – – – – – – – 23.6 23.6 23.6 28.5 21.6 – – – – – – S – – – – – – – SCTG 18, FUEL OILS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 33.7 33.7 33.9 36.8 44.5 – – – – – – S – – – – – – S – – .8 16.1 15.8 – – – – – – S – – – – – – S 29.2 29.2 29.2 37.6 40.3 – – – – – – S – – – – – – S – – .8 15.9 15.5 – – – – – – S – – – – – – S 46.2 46.2 46.3 41.0 S – – – – – – S – – – – – – S – – .3 17.1 S – – – – – – S – – – – – – S 16.2 16.2 16.2 27.5 22.2 – – – – – – S – – – – – – 31.6 Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–19 Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 19, COAL AND PETROLEUM PRODUCTS, N.E.C. Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 38.6 38.6 41.9 39.5 S 48.3 – – – – – – S S – – – – S – .2 4.6 13.2 S 4.7 – – – – – – S S – – – – S S S S S S 48.0 – – – – – – S S – – – – S S S S S S 3.9 – – – – – – S S – – – – S 40.1 40.2 42.0 47.1 S S – – – – – S S S – – – – S – 1.6 8.8 11.3 S S – – – – – S S S – – – – S S S S S S 26.0 – – – – – S 34.1 34.1 – – – – 31.6 SCTG 20, BASIC CHEMICALS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 23.3 22.3 21.3 26.7 38.2 S – – – – S – S S – – – – S – 1.9 6.3 10.7 10.2 S – – – – S – S S – – – – S S S 48.4 S S S – – – – 42.2 – S S – – – – S S S 3.2 S S S – – – – .6 – S S – – – – S S S S S S S – – – – 44.3 S S S – – – – S S S S S S S – – – – 7.9 S S S – – – – S 19.8 21.6 41.4 25.7 28.7 30.2 – – – – 28.0 S 22.4 22.4 – – – – 31.6 SCTG 21, PHARMACEUTICAL PRODUCTS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 17.5 23.6 23.8 24.0 48.9 – – – – – 44.9 – 29.9 30.2 – S – – 46.3 – 7.2 6.8 6.7 2.0 – – – – – 1.5 – 7.2 7.2 – S – – .2 36.1 38.8 39.3 41.4 49.8 – – – – – S – 22.3 22.4 – S – – 48.5 – 6.0 5.7 8.6 7.5 – – – – – S – 4.0 4.0 – S – – 2.7 40.8 44.0 45.1 46.1 S – – – – – S S 25.1 26.0 – S – – 47.0 – 7.3 7.5 10.1 S – – – – – S S 5.7 5.8 – S – – 1.9 41.9 43.6 44.2 43.0 16.3 – – – – – 22.5 S 12.7 13.4 – 31.6 – – 34.1 B–20 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 22, FERTILIZERS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 48.8 49.3 S S S 49.8 – – – – S – S S – – – – – – .8 S S S 6.6 – – – – S – S S – – – – – S S S S S S – – – – S – S S – – – – – S S S S S S – – – – S – S S – – – – – 36.7 36.8 48.3 48.1 S S – – – – S S S S – – – – – – .1 11.6 11.5 S S – – – – S S S S – – – – – S S S 28.4 S 26.8 – – – – 31.6 S 31.6 31.6 – – – – – SCTG 23, CHEMICAL PRODUCTS AND PREPARATIONS, N.E.C. Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 17.0 16.6 17.1 19.9 25.0 44.0 – – – – S – S S S – – – S – 4.7 4.6 6.2 4.7 2.6 – – – – S – S S S – – – S 36.7 36.1 37.9 48.4 29.5 40.6 – – – – S – S S S – – – S – 1.5 2.9 8.7 7.9 3.2 – – – – S – S S S – – – S 36.0 34.9 40.1 41.1 43.7 44.3 – – – – S S S S S – – – S – 3.7 6.3 6.7 2.7 7.1 – – – – S S S S S – – – S S S 30.8 24.3 34.3 21.8 – – – – 23.4 S S S 30.2 – – – S SCTG 24, PLASTICS AND RUBBER Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 34.2 35.3 35.3 27.9 S – – – – – 45.9 – 33.5 33.7 – S – S 41.6 – 4.1 4.1 11.1 S – – – – – – – 4.2 4.0 – S – S 1.2 33.8 34.5 34.5 31.1 49.8 – – – – – 31.6 – 31.3 31.8 – S – S 47.4 – 1.5 1.5 10.6 11.2 – – – – – – – .9 .8 – S – S 1.1 47.4 48.8 48.9 31.9 S – – – – – 37.4 S 29.1 29.8 – S – S 47.8 – 2.8 2.9 9.7 S – – – – – .1 S 2.4 2.3 – S – S 1.5 33.1 22.6 21.6 11.2 21.6 – – – – – 17.5 S 14.4 14.8 – 29.9 – 31.6 S Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–21 Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 25, LOGS AND OTHER WOOD IN THE ROUGH Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 44.7 27.5 28.0 31.9 40.9 S – – – – – – S – S – – – S – 12.4 12.5 11.3 13.0 S – – – – – – S – S – – – S 33.5 29.1 28.7 29.4 40.6 S – – – – – – S – S – – – S – 10.2 10.5 11.3 12.4 S – – – – – – S – S – – – S S S S 34.6 S S – – – – – S S – S – – – S S S S 16.0 S S – – – – – S S – S – – – S 34.4 28.4 28.3 23.6 39.9 31.6 – – – – – S 31.6 – 31.6 – – – 37.0 SCTG 26, WOOD PRODUCTS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 14.4 16.4 18.3 38.6 19.4 S – – – – – – S S S – – S S – 4.8 6.9 7.2 9.5 S – – – – – – S S S – – S S 30.4 32.7 38.0 S 33.1 S – – – – – – 49.1 S S – – S S – 7.4 10.7 S 10.5 S – – – – – – .9 S S – – S S 45.0 47.7 48.4 S 16.7 S – – – – – S S S S – – S S – 4.1 12.1 S 12.5 S – – – – – S S S S – – S S 31.8 44.9 36.3 35.7 13.9 31.7 – – – – – S 25.9 26.8 30.9 – – 31.6 S SCTG 27, PULP, NEWSPRINT, PAPER, AND PAPERBOARD Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 41.5 42.2 42.2 S 46.2 – – – – – – – S S – – – – S – 5.8 5.8 S 10.0 – – – – – – – S S – – – – S S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – – S S – – – – S S S S S S – – – – – – S S S – – – – S S S S S S – – – – – – S S S – – – – S 21.9 38.8 38.8 23.8 S – – – – – – S 27.9 27.9 – – – – 42.7 B–22 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 28, PAPER OR PAPERBOARD ARTICLES Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 28.9 28.1 28.0 31.0 37.7 S – – – – S – 48.3 35.8 S – – – S – 2.7 2.7 4.6 6.4 S – – – – S – 3.0 2.3 S – – – S 24.6 24.0 24.0 24.5 42.8 S – – – – S – S 34.0 S – – – S – 1.3 1.4 4.9 5.0 S – – – – S – S .4 S – – – S 31.2 25.8 25.3 26.6 35.9 S – – – – S S S 39.3 S – – – S – 5.1 5.5 4.2 2.8 S – – – – S S S .8 S – – – S 24.1 S S 10.1 S 31.6 – – – – 31.6 S 18.8 18.7 28.0 – – – S SCTG 29, PRINTED PRODUCTS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 21.1 22.3 21.6 20.8 S S – – – – S – 26.8 26.8 – S – – 47.5 – 6.6 6.1 5.5 S S – – – – S – 8.3 8.3 – S – – 3.3 26.9 17.0 16.7 17.3 43.4 S – – – – S – S S – S – – S – 10.6 10.3 9.2 2.3 S – – – – S – S S – S – – S 37.4 19.9 16.2 16.3 S S – – – – S S S S – S – – S – 11.7 11.5 11.2 S S – – – – S S S S – S – – S 5.8 14.3 15.6 13.0 26.4 31.6 – – – – 16.4 S 5.2 5.2 – 31.6 – – S SCTG 30, TEXTILES, LEATHER, AND ARTICLES OF TEXTILES OR LEATHER Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 14.3 17.5 17.5 19.6 24.6 – – – – – 40.8 – 18.5 18.5 – – – – 39.7 – 5.6 5.6 5.6 2.4 – – – – – .1 – 5.6 5.6 – – – – .7 11.5 15.5 15.5 12.7 S – – – – – 44.8 – 22.9 22.9 – – – – 44.4 – 5.7 5.7 6.7 S – – – – – – – 5.8 5.8 – – – – .5 14.8 23.1 23.2 26.2 S – – – – – 49.5 S 27.3 27.3 – – – – S – 8.6 8.7 9.2 S – – – – – .3 S 8.4 8.4 – – – – S 6.8 11.6 11.3 6.5 S – – – – – 19.4 S 5.8 5.8 – – – – 27.0 Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–23 Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 31, NONMETALLIC MINERAL PRODUCTS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 41.1 40.9 42.3 49.1 36.1 22.2 42.1 42.1 – – – – S S – – – – S – 2.8 6.1 7.5 5.5 2.3 4.6 4.6 – – – – S S – – – – S 22.7 23.1 27.6 29.3 44.1 25.4 41.4 41.4 – – – – 40.6 40.6 – – – – S – 2.3 6.8 6.3 7.9 2.9 6.7 6.7 – – – – – – – – – – S 29.0 29.1 48.0 45.6 S 30.2 41.0 41.0 – – – S 46.0 46.0 – – – – S – 1.6 10.5 8.7 S 6.8 10.2 10.2 – – – S – – – – – – S 25.6 23.1 23.9 17.0 44.8 17.8 26.7 26.7 – – – S 18.7 18.7 – – – – 30.2 SCTG 32, BASE METAL IN PRIMARY OR SEMIFINISHED FORMS AND IN FINISHED BASIC SHAPES Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 16.3 16.3 16.2 14.9 30.4 33.6 – – – – 49.7 – 41.7 41.7 – – – – S – 1.2 1.2 8.0 8.0 .6 – – – – – – .5 .5 – – – – S 17.9 18.2 18.2 17.8 33.2 37.9 – – – – S – S S – – – – S – 1.4 2.3 7.8 7.2 1.8 – – – – S – S S – – – – S 15.9 16.2 16.7 17.5 24.3 40.2 – – – – S S S S – – – – S – .9 4.4 5.3 3.3 4.0 – – – – S S S S – – – – S 31.9 32.8 32.3 16.3 40.1 26.5 – – – – 26.5 S 36.5 36.5 – – – – S SCTG 33, ARTICLES OF BASE METAL Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 17.9 20.9 21.0 17.7 38.7 S – – – – 37.3 – 40.1 40.6 S – – – S – 6.7 6.7 7.5 6.5 S – – – – – – 6.2 6.2 S – – – S 33.5 33.9 33.9 48.3 S S – – – – 40.5 – 43.1 44.7 S – – – 45.8 – 1.4 1.4 9.0 S S – – – – – – 1.1 1.1 S – – – .6 49.2 49.7 49.8 S 33.9 S – – – – 48.2 S 36.8 49.2 S – – – S – 1.3 1.3 S 7.3 S – – – – – S 1.1 1.2 S – – – S 50.0 S S S S 29.9 – – – – 26.1 S 18.7 18.6 30.1 – – – S B–24 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 34, MACHINERY Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 26.0 28.4 30.0 23.1 S 38.0 – – – – S – 34.9 29.3 S – – – S – 6.1 6.1 6.7 S .4 – – – – S – 2.4 2.4 S – – – S 42.8 44.0 44.5 S S 38.3 – – – – S – S 34.0 S – – – S – 1.5 1.6 S S .6 – – – – S – S 1.2 S – – – S 49.0 S S S S 40.8 – – – – S S S 39.8 S – – – S – S S S S 1.2 – – – – S S S 2.9 S – – – S 16.3 21.3 21.0 10.8 27.9 24.2 – – – – 17.2 S 10.8 11.1 30.0 – – – S SCTG 35, ELECTRONIC AND OTHER ELECTRICAL EQUIPMENT AND COMPONENTS AND OFFICE EQUIPMENT Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 13.7 16.5 17.0 15.7 29.4 46.2 – – – – 34.1 – 27.4 27.5 S – – – 35.3 – 7.0 6.7 4.7 4.6 – – – – – 1.7 – 7.5 7.5 S – – – 1.4 9.4 12.4 12.2 13.1 19.4 44.6 – – – – S – 34.1 34.8 S – – – 29.4 – 4.2 4.0 4.3 4.2 .2 – – – – S – 3.2 3.2 S – – – 2.8 13.5 14.9 15.1 17.3 28.4 44.6 – – – – 39.2 S 35.3 36.9 S – – – 49.2 – 3.2 3.3 5.7 5.8 .8 – – – – .8 S 3.3 3.3 S – – – 1.1 13.1 15.6 15.6 9.1 21.9 25.8 – – – – 11.5 S 10.6 10.6 31.6 – – – S SCTG 36, MOTORIZED AND OTHER VEHICLES (INCLUDING PARTS) Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 31.8 35.2 17.4 25.4 29.4 S – – – – S – 42.2 46.3 S S – S S – 6.8 11.9 8.9 6.2 S – – – – S – 2.2 1.7 S S – S S 21.4 23.1 21.5 30.0 29.2 S – – – – S – 44.3 S S S – S S – 6.6 10.8 9.9 6.8 S – – – – S – .9 S S S – S S 24.4 24.4 30.0 32.0 28.4 44.4 – – – – S S 42.4 47.5 S S – S S – 6.6 12.6 11.2 3.1 12.8 – – – – S S 1.2 1.2 S S – S S 13.1 23.7 26.1 11.2 19.0 24.5 – – – – 27.0 S 13.3 13.3 31.6 31.6 – 31.6 25.4 Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–25 Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 37, TRANSPORTATION EQUIPMENT, N.E.C. Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes S S S S S – – – – – S – S S – – – – S S S S S S – – – – – S – S S – – – – S S S S S S – – – – – 47.1 – S S – – – – S S S S S S – – – – – 6.9 – S S – – – – S S S S S S – – – – – S S S S – – – – S S S S S S – – – – – S S S S – – – – S 22.2 28.3 28.0 23.3 27.9 – – – – – 23.3 S 39.1 39.1 – – – – 30.5 SCTG 38, PRECISION INSTRUMENTS AND APPARATUS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 34.5 42.9 44.9 47.3 S – – – – – S – S S – S – – S – 12.7 13.7 12.8 S – – – – – S – S S – S – – S S S S 46.5 S – – – – – S – S S – S – – S S S S 14.3 S – – – – – S – S S – S – – S 45.0 48.7 49.0 S S – – – – – S S S S – S – – S – 14.0 16.9 S S – – – – – S S S S – S – – S 30.2 37.0 22.6 23.5 38.7 – – – – – 27.4 S 21.3 20.9 – 31.6 – – 30.0 SCTG 39, FURNITURE, MATTRESSES AND MATTRESS SUPPORTS, LAMPS, LIGHTING FITTINGS, AND ILLUMINATED SIGNS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 29.1 31.5 31.8 32.3 S S – – – – – – S S – – – – S – 4.0 4.1 9.1 S S – – – – – – S S – – – – S 27.4 28.2 28.2 25.9 S S – – – – – – S S – – – – S – 1.3 1.7 8.7 S S – – – – – – S S – – – – S 28.1 28.0 27.6 28.4 29.8 S – – – – – S S S – – – – S – 4.1 4.0 12.3 10.4 S – – – – – S S S – – – – S 18.4 26.6 26.6 21.6 S 31.6 – – – – – S 20.4 20.4 – – – – 26.0 B–26 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage SCTG 40, MISCELLANEOUS MANUFACTURED PRODUCTS Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 28.1 34.6 34.9 18.2 S S – – – – 47.8 – 26.0 26.1 S – – – S – 5.5 5.6 8.3 S S – – – – .1 – 5.1 5.1 S – – – S 21.9 22.5 20.7 22.6 26.7 S – – – – 36.8 – 30.6 31.2 S – – – S – 4.4 4.4 6.4 4.4 S – – – – – – .9 .8 S – – – S 28.4 31.6 28.4 29.8 34.2 S – – – – 39.2 S 33.1 34.4 S – – – S – 6.0 5.8 6.9 2.8 S – – – – – S 1.7 1.5 S – – – S 7.9 12.6 10.9 7.9 25.1 30.7 – – – – 15.9 S 7.8 7.9 30.9 – – – 31.6 SCTG 41, WASTE AND SCRAP Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 36.8 36.4 37.3 33.1 S S – – – – – – S S S – – – S – 4.1 6.9 11.0 S S – – – – – – S S S – – – S 42.1 43.6 S S S S – – – – – – S S S – – – S – 4.9 S S S S – – – – – – S S S – – – S 42.5 49.4 46.1 S S S – – – – – S S S S – – – S – 8.3 13.7 S S S – – – – – S S S S – – – S 18.4 14.5 17.9 18.4 26.4 32.3 – – – – – S 28.7 31.6 30.0 – – – 26.3 SCTG 43, MIXED FREIGHT Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes See footnote at end of table. 31.7 35.8 37.0 16.1 46.5 47.5 – – – – S – 17.1 32.5 49.3 S S – S – 3.6 4.3 4.0 7.6 1.7 – – – – S – 2.4 2.0 .4 S S – S 12.2 12.8 13.1 15.3 21.0 31.7 – – – – S – 23.3 35.0 47.9 S S – S – .9 1.1 4.8 5.4 .5 – – – – S – .5 .2 .5 S S – S 9.4 11.8 13.1 16.8 31.6 34.5 – – – – S S 26.3 37.2 46.3 S S – S – 4.6 5.7 5.9 7.5 1.9 – – – – S S 5.0 .4 2.3 S S – S 18.7 32.8 30.3 24.9 35.4 23.0 – – – – 29.9 S 4.9 5.8 26.1 29.8 27.9 – S Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–27 Table B–6. Estimated Measures of Reliability for Shipment Characteristics by Two Digit Commodity and Mode of Transportation for State of Origin: 2002 Con. Value Tons Coefficient of variation of number Ton miles Coefficient of variation of number Average miles per shipment coefficient of variation [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] SCTG code, description, and mode of transportation Coefficient of variation of number Standard error of percentage Standard error of percentage Standard error of percentage COMMODITY UNKNOWN Total Single modes Truck For hire truck Private truck Rail Water Shallow draft Great Lakes Deep draft Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail Truck and water Rail and water Other multiple modes Other and unknown modes 38.6 41.8 46.8 42.5 S S – – – – S – S S – – – – S – 8.3 11.1 13.1 S S – – – – S – S S – – – – S 29.5 29.7 32.2 44.6 S S – – – – S – 46.2 46.2 – – – – S – .4 10.0 14.1 S S – – – – S – .4 .4 – – – – S 40.2 40.5 49.7 49.1 S S – – – – S S S S – – – – S – .5 10.7 14.2 S S – – – – S S S S – – – – S 24.4 25.7 21.3 45.8 21.8 31.6 – – – – 31.6 S 22.0 22.0 – – – – 31.6 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. B–28 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–7. Estimated Measures of Reliability for Outbound Shipment Characteristics by State of Destination for State of Origin: 2002 Value State of destination Coefficient of variation of number 4.5 Standard error of percentage – Tons Coefficient of variation of number 10.2 Standard error of percentage – Ton miles Coefficient of variation of number 9.8 Standard error of percentage – [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] Total NEW ENGLAND STATES Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont 40.5 21.1 23.3 S 31.7 47.9 .1 – .1 S – – 29.0 38.9 19.7 S S 32.8 – – – S S – 30.1 34.8 19.1 49.6 S 32.7 – – – – S – MIDDLE ATLANTIC STATES New Jersey New York Pennsylvania 24.1 16.9 12.2 .3 .3 .2 46.4 19.5 16.4 .2 – .1 47.5 20.4 14.1 .7 .3 .5 EAST NORTH CENTRAL STATES Illinois Indiana Michigan Ohio Wisconsin 8.2 11.9 15.5 48.2 15.8 .7 .4 .3 2.3 .2 28.6 15.3 20.4 24.2 41.9 1.2 .4 .2 .3 .2 20.3 13.6 21.1 24.9 38.6 .7 .4 .4 .4 .3 WEST NORTH CENTRAL STATES Iowa Kansas Minnesota Missouri Nebraska North Dakota South Dakota 17.6 8.7 13.7 7.5 20.9 22.5 20.9 .4 .4 .2 2.4 .4 – – 31.4 18.0 24.5 14.5 35.4 42.4 47.6 1.1 1.1 .2 3.6 1.3 – – 36.0 15.6 26.1 19.0 43.4 43.5 44.2 1.3 .4 .4 2.0 1.8 .2 .1 SOUTH ATLANTIC STATES Delaware District of Columbia Florida Georgia Maryland North Carolina South Carolina Virginia West Virginia S 38.4 14.2 22.7 42.1 9.2 12.3 13.5 24.0 S – .2 .3 .4 – – – – 49.3 40.4 29.0 29.2 26.7 27.8 30.5 39.9 S – – .2 .3 – – – – S 46.7 41.5 30.6 26.7 29.0 29.8 33.7 45.8 S – – .7 .5 .1 .2 .1 .3 S EAST SOUTH CENTRAL STATES Alabama Kentucky Mississippi Tennessee 24.0 S 16.7 21.7 .3 S .1 .6 S S 49.0 34.6 S S .3 1.0 S 47.6 S 35.5 S .6 S 1.0 WEST SOUTH CENTRAL STATES Arkansas Louisiana Oklahoma Texas 18.0 20.5 22.9 7.7 .5 .2 .5 .4 23.4 34.6 12.6 27.0 .8 1.8 .2 1.1 29.3 36.9 13.3 28.0 1.3 5.0 .1 3.0 MOUNTAIN STATES Arizona Colorado Idaho Montana Nevada New Mexico Utah Wyoming 28.2 24.1 30.5 37.4 25.8 16.4 S 45.0 .3 .3 – – – – S – 27.9 24.4 34.9 28.8 44.4 S 49.8 S – .1 – – – S .1 S 27.2 20.5 38.4 30.2 46.0 S 46.8 S .5 .3 – – .1 S .4 S PACIFIC STATES Alaska California Hawaii Oregon Washington 38.4 8.1 27.0 27.3 22.5 – .3 – .1 .2 38.8 11.0 30.2 S 29.0 – .2 – S – 46.1 11.2 29.1 S 28.9 – 1.0 – S .4 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–29 Table B–8. Estimated Measures of Reliability for Inbound Shipment Characteristics by State of Origin for State of Destination: 2002 Value State of origin Coefficient of variation of number 2.7 Standard error of percentage – Tons Coefficient of variation of number 7.7 Standard error of percentage – Ton miles Coefficient of variation of number 10.9 Standard error of percentage – [Estimates are shown as percents and are based on data from the 2002 Commodity Flow Survey] Total NEW ENGLAND STATES Connecticut Maine Massachusetts New Hampshire Rhode Island Vermont 20.4 32.6 32.9 18.8 33.7 15.6 – – .2 – – – 24.2 S 24.5 41.6 42.6 33.8 – S – – – – 24.3 S 24.0 40.7 42.5 35.3 – S – – – – MIDDLE ATLANTIC STATES New Jersey New York Pennsylvania 18.6 19.2 14.2 .2 .3 .2 23.9 42.9 14.6 – .2 – 24.7 45.3 16.5 .4 .5 .3 EAST NORTH CENTRAL STATES Illinois Indiana Michigan Ohio Wisconsin 7.6 26.4 18.4 14.8 9.6 .6 .9 1.2 .6 .2 11.0 20.5 12.3 13.3 41.0 1.2 .3 .2 .1 .3 11.8 20.6 12.8 13.8 39.7 .4 .4 .7 .4 .4 WEST NORTH CENTRAL STATES Iowa Kansas Minnesota Missouri Nebraska North Dakota South Dakota 10.5 14.8 40.5 7.5 15.5 26.9 34.5 .2 .9 .8 1.9 .2 – – 14.5 13.7 39.8 14.5 23.1 S S .2 .8 .3 4.4 .1 S S 16.7 18.0 41.9 19.0 22.0 S S .6 .3 .7 1.6 .2 S S SOUTH ATLANTIC STATES Delaware District of Columbia Florida Georgia Maryland North Carolina South Carolina Virginia West Virginia 38.7 S 14.4 12.0 32.5 15.7 11.8 20.4 29.1 – S .1 .2 .1 .2 – .1 – 45.3 S 17.5 26.9 25.8 23.9 24.9 23.5 28.4 – S – .1 – – – – – 44.3 S 19.7 23.9 24.5 26.3 23.7 20.7 26.5 – S .4 .3 – .1 – .1 – EAST SOUTH CENTRAL STATES Alabama Kentucky Mississippi Tennessee 21.3 33.8 33.3 25.5 .2 .9 .5 .9 18.7 35.6 15.8 27.5 – .3 – .4 16.0 39.7 16.7 22.8 .2 .3 .2 .3 WEST SOUTH CENTRAL STATES Arkansas Louisiana Oklahoma Texas 18.7 20.5 27.9 17.0 .5 .2 .3 .5 19.9 23.8 24.9 10.7 .4 .3 .3 .2 25.1 27.4 20.5 12.0 .5 .8 .4 .6 MOUNTAIN STATES Arizona Colorado Idaho Montana Nevada New Mexico Utah Wyoming 26.8 15.9 35.8 24.6 25.9 30.6 24.7 14.1 – – – – – – – – S S 27.0 35.3 45.4 31.1 39.4 19.8 S S – – – – .1 2.6 49.1 49.5 28.3 34.3 44.9 32.1 40.0 20.5 – .7 .2 .1 .1 .1 .4 5.9 PACIFIC STATES Alaska California Hawaii Oregon Washington S 19.6 S 35.8 34.7 S .7 S .2 .1 S 35.6 S 43.7 15.8 S .2 S .1 – S 34.3 S 44.9 15.7 S 1.1 S 1.0 – – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. B–30 Appendix B Missouri Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Table B–9. Estimated Measures of Reliability for Shipment Characteristics by Mode of Transportation for State of Origin: 2002 and 1997 Value Tons Standard error of percent change 9.2 10.3 7.3 58.6 45.6 25.6 S 18.0 18.6 25.2 S 26.9 Coefficient of variation of number 2002 10.2 10.7 13.4 17.3 S 29.3 S 48.5 22.4 40.3 S 40.3 1997 5.7 5.8 8.9 18.6 20.1 27.4 41.8 28.2 21.1 33.7 49.3 15.2 Standard error of percent change 15.8 16.5 20.7 55.4 S 50.0 S 136.7 46.2 42.2 S 27.9 Ton miles Coefficient of variation of number 2002 9.8 10.0 14.5 17.7 35.9 34.9 S 34.2 31.3 36.9 S 46.0 1997 9.5 9.4 5.4 22.9 22.2 25.3 S 28.1 34.7 28.5 S 15.2 Standard error of percent change 20.2 19.7 24.4 51.4 38.7 65.3 S 105.7 78.4 52.4 S 93.2 Average miles per shipment Coefficient of variation of number 2002 8.6 13.9 12.3 8.8 S 5.7 S 4.8 4.8 15.6 S 34.1 1997 11.6 7.3 4.5 8.4 10.2 2.1 S 9.3 9.3 5.6 39.4 22.6 Standard error of percent change 13.5 16.5 16.1 9.6 S 6.3 S 10.5 10.6 23.2 S 141.8 [Estimates are shown as percents and are based on data from the 2002 and 1997 Commodity Flow Surveys] Mode of transportation Coefficient of variation of number 2002 1997 5.7 5.9 3.2 38.2 36.3 15.6 42.1 14.9 13.8 31.9 S 14.4 Total Single modes Truck Rail Water Air (includes truck and air) Pipeline Multiple modes Parcel, U.S. Postal Service or courier Truck and rail All other multiple modes Other and unknown modes 4.5 5.4 4.3 39.1 33.8 28.7 S 6.3 8.3 32.2 34.6 26.8 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Table B–10. Estimated Measures of Reliability for Shipment Characteristics by Commodity Group for State of Origin: 2002 and 1997 Value Tons Standard error of percent change 9.2 Coefficient of variation of number 2002 10.2 1997 5.7 Standard error of percent change 15.8 Ton miles Coefficient of variation of number 2002 9.8 1997 9.5 Standard error of percent change 20.2 Average miles per shipment Coefficient of variation of number 2002 8.6 1997 11.6 Standard error of percent change 13.5 [Estimates are shown as percents and are based on data from the 2002 and 1997 Commodity Flow Surveys] SCTG code Commodity description Coefficient of variation of number 2002 1997 5.7 Total 01 05 06 09 10 14 15 19 20 24 25 30 Agricultural products and fish Grains, alcohol, and tobacco products Stones, nonmetallic minerals, and metallic ores Coal and petroleum products Basic chemicals, chemical, and pharmaceutical products Logs, wood products, and textile and leather Base metal and machinery Electronic, motorized vehicles, and precision instruments Furniture, mixed freight and misc. manufactured prod. Commodity unknown 4.5 20.2 25.5 12.0 25.0 7.9 10.2 9.4 20.5 16.9 38.6 9.7 8.4 15.8 22.1 5.3 12.1 4.9 17.4 18.2 45.1 23.6 33.2 13.7 33.4 13.0 18.3 13.9 24.4 56.4 14.8 21.9 20.5 17.9 24.0 36.8 18.5 12.0 48.9 27.1 29.5 12.4 18.7 16.4 22.7 10.9 9.7 15.0 15.2 15.2 44.1 41.3 35.6 32.8 29.7 53.9 21.4 16.7 75.6 93.6 20.0 21.3 21.8 29.8 25.2 47.9 12.8 22.6 43.1 27.9 40.2 24.2 28.0 21.9 36.4 16.4 11.8 13.7 21.5 21.7 39.0 48.3 49.1 55.2 29.2 62.6 21.1 37.8 50.5 112.6 49.2 39.0 S 11.7 46.2 17.8 6.1 27.4 8.6 12.2 24.4 31.2 27.2 41.7 S 10.1 12.1 13.0 6.5 8.2 20.4 62.5 S 57.6 S 19.4 12.6 36.7 14.4 13.5 36.2 31 34 35 38 39 43 – Represents data cell equal to zero or less than 1 unit of measure. S Estimate does not meet publication standards because of high sampling variability or poor response quality. Note: The Introduction and appendixes give information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions. Links to this information on the Internet may be found at www.census.gov/cfs. Transportation Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Missouri Appendix B B–31 Appendix C. Sample Design, Data Collection, and Estimation INTRODUCTION The primary goal for the 2002 Commodity Flow Survey (CFS) is to estimate shipping volumes (value, tons, and ton-miles) by commodity and mode of transportation at varying levels of geographic detail. A secondary objective is to estimate the volume of shipments moving from one geographic area to another (i.e., flows of commodities between states, regions, etc.) by mode and commodity. A detailed description of the sample design for the 2002 CFS is provided below. SAMPLE DESIGN The sample for the 2002 Commodity Flow Survey (CFS) was selected using a stratified three-stage design in which the first-stage sampling units were establishments, the second-stage sampling units were groups of four 1-week periods (reporting weeks) within the survey year, and the thirdstage sampling units were shipments. First Stage Sampling frame To create the first-stage sampling frame, we extracted a subset of establishment records from the Business Register (formerly the Standard Statistical Establishment List) as of September 2001. The Business Register is a database of all known establishments located in the United States or its territories. (An establishment is a single physical location where business transactions take place or services are performed.) Establishments located in the United States, having nonzero payroll in 2000, and classified in mining (except oil and gas extraction), manufacturing, wholesale, or electronic shopping and mail order retail industries, as defined by the 1997 North American Industry Classification System (NAICS), were included on the sampling frame. Auxiliary establishments (e.g. warehouses and central administrative offices) with shipping activity were also included on the sampling frame. Auxiliary establishments are establishments that are primarily involved in rendering support services for other establishments within the same company, instead of for the public, government, or other business firms. All other establishments included on the sampling frame are referred to as nonauxiliary establishments. Some portion of establishments classified in the Retail Trade sector in the 1997 Economic Census was expected to be classified in the Wholesale Trade sector in the 2002 Economic Census. Because we wanted complete coverage of the Wholesale Trade sector as defined for the 2002 Economic Census, the 2002 CFS sampling frame also included establishments that were classified in particular retail industries (automotive parts and accessories, tires, floor coverings, building materials, nursery and garden, and office supplies) in the 1997 Economic Census and had characteristics indicating that they were likely to be classified as wholesale in the 2002 Economic Census. Of the establishments selected for the 2002 CFS from this set of establishments, only those that were classified as wholesale in the 2002 Economic Census were used in the production of estimates for this report. Establishments classified in forestry, fishing, utilities, construction, transportation, services, and all other retail industries were not included on the sampling frame. Farms and government-owned entities (except government-owned liquor stores) were also excluded from the sampling frame. The resulting frame comprised approximately 760,000 establishments. For each establishment we extracted sales, payroll, number of employees, a six-digit NAICS code, name and address, and a primary identifier. We also computed a measure of size for each establishment. The measure of size was designed to approximate an establishment’s annual total value of shipments for the year 2000. Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Appendix C C–1 All of the establishments included on the sampling frame had state, county, and place geographic codes. We used these codes to assign each establishment to one of the 273 metropolitan areas (MAs) defined as a combination of the metropolitan statistical areas (MSAs) and consolidated metropolitan statistical areas (CMSAs). Establishments not located in an MA were assigned to MA 9999. Stratification We stratified the sampling frame by geography and industry. Geographic strata were defined by a combination of the 50 states, the District of Columbia, and the top 50 metropolitan areas (MAs) based on their population in Census 2000. If a particular MA was not one of the 50 largest, then it was collapsed with the remaining MAs and non-MAs within the state in which the particular MA resided. We refer to these collapsed strata as Rest of State (ROS) strata. When an MA crossed state boundaries, we considered the size of each part of the MA relative to the MAs total measure of size when determining whether or not to create strata in each state in which the MA was defined. The industry strata were determined as follows. Within each of the geographic strata, we started with a total of 45 industry groups based on 1997 NAICS: three mining (four-digit NAICS); 21 manufacturing (three-digit NAICS); 18 wholesale (four-digit NAICS); 1 retail (NAICS 4541); and 2 auxiliary (NAICS 4931 and 5511). We then implemented a rule that states a particular industry stratum will be defined within a geographic stratum if it contributes at least 2 percent to its corresponding state total measure of size or it contributes at least 2 percent to the national total measure of size for the industry. Industry groups not meeting these criteria were combined into at most 12 new collapsed industry strata using a clustering algorithm. Because of potential differences in shipping patterns between auxiliary and nonauxiliary establishments, we created two industry strata of auxiliary establishments in every geographic stratum. We refer to a particular geographic-by-industry combination as a primary stratum. Also note that a separate stratum was created at the national level for those Retail Trade sector establishments that we included in our sample. Sample size and allocation To reduce the sampling variability of the estimates, we used a stratified design with a certainty component. Within each primary stratum, a boundary (or cutoff) that divides the certainty establishments from the noncertainty establishments was determined using the Lavallee-Hidiroglou algorithm. If an establishment’s measure of size was greater than the cutoff, the establishment was selected with certainty. Establishments selected with certainty were sure to be selected and represent only themselves (i.e., had a selection probability of one and a sampling weight of one). Because the 2002 sample was about half the size of the 1997 CFS sample, we were concerned about the ability of the sample to capture less frequent types of shipments (e.g., air, water, rail, and hazardous materials). After considering several different alternatives, we felt the best approach was to identify those establishments which made the bulk of these types of shipments in 1997 and then select them with certainty. To identify these establishments, we proceeded as follows. We identified all establishments in the 1997 CFS sample that reported shipments made by air, water, or rail. We also identified those establishments that reported shipments of hazardous materials. For each of these establishments, we computed the percentage of the establishment’s total value and tonnage accounted for by each of these types of shipments. Next, we matched these establishments to the sampling frame for the 2002 CFS and identified each establishment with measure of size less than the certainty boundary. For both value and tons, we then looked to see what percent of the total volume of shipments for each type of shipment was captured by selecting with certainty the top 50, top 100, or all establishments. We considered the top 50 establishments as those establishments making the largest volume of each type of shipment (air, water, rail, hazardous). Once these establishments were identified, we grouped them into one file and unduplicated them. This procedure added a total of about 500 certainty establishments. Establishments not selected with certainty made up the noncertainty frame. We further stratified the noncertainty establishments within each primary stratum using the measure of size previously described. We refer to these measure-of-size strata as substrata of the primary strata. The measure of size stratification increased the efficiency of the sample design. The Dalenius-Hodges C–2 Appendix C Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census cumulative f rule was used to set the substratum boundaries. We then used optimum allocation to determine the sample size required within each substratum to meet a coefficient of variation constraint on an estimate of the total measure of size for the primary stratum. Within each substratum, a simple random sample of establishments was selected without replacement. To arrive at the final sample size, we allocated additional establishments to some of the strata so that the minimum substratum sample size was two and the probability of selecting any establishment was no less than 1 in 100. In total, the first-stage sample comprised 51,005 establishments. Second Stage The frame for the second stage of sampling consisted of 52-weeks from January 6, 2002 to January 4, 2003. Each establishment selected into the 2002 CFS sample was systematically assigned to report for four reporting weeks-one in each quarter of the reference year. Each of the 4-weeks was in the same relative position of the quarter. For example, an establishment might have been requested to report data for the 5th, 18th, 31st, and 44th weeks of the reference year. In this instance, each reporting week corresponds to the 5th week of each quarter. Prior to assignment of weeks to establishments, we sorted the selected sample by primary stratum (state x metropolitan area x industry) and measure-of-size. Third Stage For each of the four reporting weeks in which an establishment was asked to report, we requested the respondent to construct a sampling frame consisting of all shipments made by the establishment in the reporting week. Each respondent was asked to count or estimate the total number of shipments comprising the sampling frame and to record this number on the questionnaire. For each assigned reporting week, if an establishment made more than 40 shipments during that week, we asked the respondent to select a systematic sample of the establishment’s shipments and to provide us with information only about the selected shipments. If an establishment made 40 or fewer shipments during that week, we asked the respondent to provide information about all of the establishment’s shipments made during that week; i.e., no sampling was required. DATA COLLECTION Each establishment selected into the CFS sample was mailed a questionnaire for each of its four reporting weeks. We mailed each establishment a questionnaire once every quarter of 2002. For a given establishment, we requested that the respondent provide the following information about each of the establishment’s reported shipments: shipment identification number, the date on which the shipment was made, value, weight, commodity, mode(s) of transportation, domestic destination or port of exit, an indication of whether the shipment was an export, and the United Nations or North America (UN/NA) number for hazardous material shipments. For a shipment that included more than one commodity, the respondent was instructed to report the commodity that made up the greatest percentage of the shipment’s weight. For an export shipment, we also asked the respondent to provide the mode of export and the foreign destination city and country. See Appendix E for a copy of the questionnaire. IMPUTATION OF SHIPMENT VALUE OR WEIGHT To correct for nonresponse to either the value or weight item for a given shipment reported in the CFS, the missing value or value that failed edit is replaced by a predicted value obtained from an appropriate model. Such a shipment is considered a ‘‘recipient’’ if its commodity code is valid and the other item is reported greater than zero and passed edit. The recipient’s item that is missing or failed edit is imputed as follows. First, a ‘‘donor’’ shipment is randomly selected from shipments that were reported in the CFS with: • The same commodity code as the recipient. • Both value and weight items reported greater than zero and passed edit. • Origin and value for the item reported by the recipient similar to those of the recipient. Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Appendix C C–3 Then, the donor’s value and weight data are used to calculate a ratio, which is applied to the recipient’s reported item, to impute the item that is missing or failed edit. If no donor is found, the median ratio for all shipments reported in the survey with the same commodity code as the recipient and with both value and weight items reported greater than zero is applied to the recipient’s reported item. For either the value or weight item, about 3 percent of the shipment records input to the calculation of estimates have imputed data for the item. ESTIMATION Estimated totals (e.g., value of shipments, tons, ton-miles) are produced as the sum of weighted shipment data (reported or imputed). Percent change and percent-of-total estimates are derived using the appropriate estimated totals. Estimates of average miles per shipment are computed by dividing an estimate of the total miles traveled by the estimated number of shipments. The annuˆ alized growth rate A for estimates from year y1 to y2 is computed as: ˆ A 100 * ( ˆ X y2 ˆ X y1 1 y2 y1 1 ) ˆ ˆ where Xy1 and Xy2 are estimates of the value of shipments, tons, ton-miles, or average miles per shipment for years y1 and y2, respectively. The annualized growth rate measures the annual rate of change between estimates from any 2 years by assuming a constant yearly rate of change. Each shipment has associated with it a single tabulation weight, which was used in computing all estimates to which the shipment contributes. The tabulation weight is a product of seven different component weights. A description of each component weight follows. CFS respondents provided data for a sample of shipments made by their respective establishments in the survey year. For each establishment, we produced an estimate of that establishment’s total value of shipments for the entire survey year. To do this, we used four different weights, the shipment weight, the shipment nonresponse weight, the quarter weight, and the quarter nonresponse weight. Like establishments, we identified shipments as either certainty or noncertainty. (See the Nonsampling Error section in Appendix B for a description of how certainty shipments were identified.) For noncertainty shipments, the shipment weight was defined as the ratio of the total number of shipments (as reported by the respondent) made by an establishment in a reporting week to the number of sampled shipments for the same week. This weight uses data from the sampled shipments to represent all the establishment’s shipments made in the reporting week. However, a respondent may have failed to provide sufficient information about a particular sampled shipment. For example, a respondent may not have been able to provide value, weight, or a destination for one of the sampled shipments. If this data item could not be imputed, then this shipment did not contribute to tabulations and was deemed unusable. (A usable shipment is one that has valid entries for value, weight, and origin and destination ZIP Codes.) To account for these unusable shipments, we applied the shipment nonresponse weight. For noncertainty shipments from a particular establishment’s reporting week, this weight is equal to the ratio of the number of sampled shipments for the reporting week to the number of usable shipments for the same week. The shipment weight for certainty shipments from a particular establishment’s reporting week is equal to one. The quarter weight inflates an establishment’s estimate for a particular reporting week to an estimate for the corresponding quarter. For noncertainty shipments, the quarter weight is equal to 13. The quarter weight for most certainty shipments is also equal to 13. However, if a respondent was able to provide information about all large (or certainty) shipments made in the quarter containing the reporting week, then the quarter weight for each of these shipments was one. For each establishment, the quarterly estimates were added to produce an estimate of the establishment’s value of shipments for the entire survey year. Whenever an establishment did not provide the Census Bureau with a response for each of its four reporting weeks, we computed a quarter nonresponse C–4 Appendix C Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census weight. The quarter nonresponse weight for a particular establishment is defined as the ratio of the number of quarters for which the establishment was in business in the survey year to the total number of quarters (reporting weeks) for which we received usable shipment data from the establishment. Using these four component weights, we computed an estimate of each establishment’s value of shipments for the entire survey year. We then multiplied this estimate by a factor that adjusts the estimate using value of shipments and sales data obtained from other surveys and censuses conducted by the Census Bureau. This weight, the establishment-level adjustment weight, attempts to correct for any sampling or nonsampling errors that occur during the sampling of shipments by the respondent. The adjusted value of shipments estimate for an establishment was then weighted by the establishment weight. This weight is equal to the reciprocal of the establishment’s probability of being selected into the sample. A final adjustment weight, the industry-level adjustment weight, uses information from other surveys and censuses conducted by the Census Bureau to account for establishments from which we did not receive a response (including establishments from which we did not receive any usable shipment data) and for changes in the population of establishments between the time the firststage sampling frame was constructed (2001) and the year in which the data were collected (2002). Separate industry-level adjustment weights were determined for nonauxiliary and auxiliary establishments. Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Appendix C C–5 Appendix D. Standard Classification of Transported Goods Code Information The commodities shown in this report are classified using the Standard Classification of Transported Goods (SCTG) coding system. The SCTG coding system was created jointly by agencies of the United States and Canadian governments based on the Harmonized System of product classification that is used worldwide. The purpose of the SCTG coding system was to specifically address statistical needs in regard to products transported. In 1993, Commodity Flow Survey (CFS) data were collected and reported using product classifications found in the Standard Transportation Commodity Classification (STCC) system. These classifications were developed in the early 1960s by the American Association of Railroads (AAR) to analyze commodity movements by rail. The original purpose of the STCC was for identification of commodities for purposes of assigning rates for Interstate Commerce Commission (ICC) regulated rail carriers. The STCC continues to be used by the AAR as a tariff mechanism. At the time that the Commodity Transportation Survey (CTS) (the CTS—the predecessor of the CFS) was first conducted in 1963, STCC codes were still useful for analyzing most important aspects of the U.S. transportation system. Since then, many changes have taken place that have gradually made the STCC code less useful for tracking domestic product movements across all modes (although it remains perfectly functional for tracking rail-only movements). These include the deregulation of trucking, the enactment of North American Free Trade Agreement (NAFTA), changes in logistics practices, the emergence of plastics and composite materials to replace metals and glass, the obsolescence of many categories of wood products, and the very rapid recent development of high-tech electronic goods. Because the CFS is a shipper survey, the CFS collects information about shipments moving on all modes. As a consequence, STCC classifications frequently provide inadequate detail for identifying products that are significant for modes, such as truck and air. It is for these reasons that the Bureau of Transportation Statistics (BTS) has sponsored the development of a new product code to collect and report CFS data. In 1997 and 2002, the CFS provided respondents with a listing of SCTG codes and descriptions at the five-digit level to use in assigning a commodity code for each shipment. For shipments of more than one commodity, we instructed respondents to use the five-digit code for the major commodity, defined as the commodity of greatest total weight in the shipment. For the data presented on this report, we aggregated the SCTG codes to the two-digit level. Transportation—Commodity Flow Survey Bureau of Transportation Statistics and U.S. Census Bureau, 2002 Economic Census Appendix D D–1 EC02TCF-MO 2002 2002 Economic Census Transportation 2002 Commodity Flow Survey USCENSUSBUREAU Missouri: 2002