Table B-1. Estimated Measures of Reliability for Shipment Characteristics by Mode of Transportation for CBSA of Origin: 2002
Table B-1. Estimated Measures of Reliability for Shipment Characteristics by Mode of Transportation for CBSA of Origin: 2002
[Estimates are based on data from the Commodity Flow Survey. Because of rounding, estimates may not be additive]
| Mode of transportation | 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 modes | 19.4 | – | 42.8 | – | 14.5 | – | 15.3 |
| Single modes | 22.3 | 2.8 | 43.4 | 1.1 | 15.4 | 1.9 | 17.1 |
| Truck | 23.3 | 3.4 | 46.0 | 4.9 | 16.6 | 8.1 | 14.2 |
| Rail | 29.9 | 0.9 | 46.1 | 4.2 | 41.5 | 8.2 | 19.1 |
| All other single modes | 42.5 | 0.6 | S | S | S | S | 14.2 |
| Multiple modes | 15.1 | 2.2 | 15.0 | 0.2 | 20.9 | 1.5 | 10.9 |
| Parcel, USPS or courier | 16.2 | 2.2 | 30.6 | 0.2 | 44.5 | 1.0 | 11.0 |
| All other multiple modes | 38.5 | 0.1 | 28.5 | – | 32.3 | 1.2 | S |
| Other and unknown modes | 25.0 | 1.7 | 31.8 | 0.9 | S | S | 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, Metropolitan Data, December 2004.