Table B-5a. Estimated Measures of Reliability for Shipment Characteristics by Two-Digit Commodity for State of Origin: 2002
Table B-5a. Estimated Measures of Reliability for Shipment Characteristics by Two-Digit Commodity for State of Origin: 2002
[Estimates are based on data from the Commodity Flow Survey. Because of rounding, estimates may not be additive]
| Commodity (2-digit SCTG) | Value | Tons | Ton-miles | CV of average miles per shipment |
|||
|---|---|---|---|---|---|---|---|
| CV | Std. error of percent | CV | Std. error of percent | CV | Std. error of percent | ||
| All Commodities | 4.9 | – | 11.9 | – | 8.6 | – | 15.3 |
| 01 Live animals and live fish | – | – | – | – | – | – | – |
| 02 Cereal grains | 36.4 | 0.2 | 36.5 | 2.4 | 35.5 | 3.9 | 22.6 |
| 03 Other agricultural products | 26.1 | 0.2 | 31.5 | 0.5 | 21.0 | 0.9 | 36.0 |
| 04 Animal feed and products of animal origin, n.e.c. | 18.8 | – | 28.4 | 0.2 | 22.6 | 0.5 | S |
| 05 Meat, fish, seafood, and their preparations | 44.0 | 0.3 | 45.1 | 0.1 | 34.8 | 0.1 | 33.6 |
| 06 Milled grain products and preparations, and bakery products | S | S | S | S | S | S | S |
| 07 Other prepared foodstuffs and fats and oils | 25.2 | 1.0 | 13.4 | 0.8 | 21.0 | 1.1 | S |
| 08 Alcoholic beverages | 25.1 | – | 40.6 | – | 40.2 | – | 18.7 |
| 09 Tobacco products | 34.3 | 0.2 | 47.7 | – | 26.8 | – | 36.7 |
| 10 Monumental or building stone | S | S | S | S | S | S | 31.6 |
| 11 Natural sands | 35.8 | – | 42.2 | 1.6 | 41.5 | 0.2 | 18.4 |
| 12 Gravel and crushed stone | 35.9 | – | 39.6 | 3.6 | 21.2 | 0.7 | 19.0 |
| 13 Nonmetallic minerals n.e.c. | 49.5 | – | S | S | S | S | S |
| 14 Metallic ores and concentrates | 41.5 | – | 41.7 | – | 41.5 | – | 22.8 |
| 15 Coal | 11.9 | – | 17.0 | 1.6 | 35.6 | 1.3 | 15.8 |
| 17 Gasoline and aviation turbine fuel | 36.7 | 0.9 | 39.6 | 2.0 | 27.2 | 0.3 | 28.1 |
| 18 Fuel oils | 43.4 | 0.3 | 45.6 | 0.5 | 38.1 | 0.2 | 32.6 |
| 19 Coal and petroleum products, n.e.c. | 22.3 | 0.3 | 33.2 | 2.6 | 31.0 | 1.5 | 30.2 |
| 20 Basic chemicals | 33.3 | 0.2 | 40.9 | 0.4 | 43.3 | 1.2 | 30.2 |
| 21 Pharmaceutical products | 30.7 | 0.7 | 46.1 | – | 46.1 | – | S |
| 22 Fertilizers | 40.3 | 0.1 | 40.1 | 0.6 | 31.7 | 0.1 | S |
| 23 Chemical products and preparations, n.e.c. | 41.0 | 1.0 | 48.6 | 0.3 | 45.7 | 0.5 | 49.0 |
| 24 Plastics and rubber | 19.8 | 0.7 | 20.4 | 0.2 | 23.6 | 0.3 | 19.7 |
| 25 Logs and other wood in the rough | S | S | S | S | S | S | 36.0 |
| 26 Wood products | 15.4 | 0.2 | 19.8 | 0.3 | 33.8 | 0.6 | 44.4 |
| 27 Pulp, newsprint, paper, and paperboard | S | S | S | S | S | S | 30.2 |
| 28 Paper or paperboard articles | 40.8 | 0.4 | S | S | 35.7 | 0.2 | 47.0 |
| 29 Printed products | 21.7 | 0.3 | 29.7 | 0.1 | 27.9 | 0.2 | 10.8 |
| 30 Textiles, leather, and articles of textiles or leather | 17.0 | 0.6 | 14.9 | – | 19.0 | – | 10.0 |
| 31 Nonmetallic mineral products | 15.9 | 0.2 | 41.3 | 3.1 | 29.7 | 1.4 | S |
| 32 Base metal in primary or semi finished forms and in finished basic shapes | 12.2 | 0.8 | 7.6 | 1.7 | 13.9 | 2.3 | 18.2 |
| 33 Articles of base metal | 40.7 | 1.1 | 41.8 | 0.3 | S | S | 14.2 |
| 34 Machinery | 20.7 | 1.9 | 19.2 | 0.2 | 25.4 | 0.7 | 14.1 |
| 35 Electronic and other electrical equipment and components and office equipment | 20.2 | 2.1 | 17.6 | 0.1 | 15.9 | 0.3 | 13.2 |
| 36 Motorized and other vehicles (including parts) | 14.6 | 2.6 | 17.8 | 0.6 | 23.1 | 1.3 | 27.6 |
| 37 Transportation equipment, n.e.c. | S | S | S | S | S | S | 29.0 |
| 38 Precision instruments and apparatus | 18.7 | 0.3 | 36.9 | – | 40.3 | – | 11.6 |
| 39 Furniture, mattresses and mattress supports, lamps, lighting fittings, and... | 15.1 | 0.3 | 19.8 | – | 29.8 | 0.1 | 12.3 |
| 40 Miscellaneous manufactured products | 32.2 | 1.3 | 23.9 | 0.2 | 24.9 | 0.5 | 11.9 |
| 41 Waste and scrap | 27.5 | 0.1 | 31.9 | 1.0 | 46.8 | 1.2 | 11.1 |
| 43 Mixed freight | 20.5 | 2.0 | 17.7 | 0.6 | 35.4 | 1.2 | 34.0 |
| -- Commodity unknown | 30.7 | – | S | S | 28.5 | – | S |
KEY:
– 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.
CV Coefficient of variation of number
NOTES: 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. 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.
SOURCE: Bureau of Transportation Statistics (USDOT) and U.S. Census Bureau, 2002 Commodity Flow Survey, Individual State Data, December 2004.