Freight Facts and Figures - Freight Transportation System Condition and Performance

Freight Facts and Figures - The Nation Served by Freight

Freight Facts and Figures - Freight Transportation and the Economy

Transportation Services Index 2000-Present, including numbers and percent changes for TSI, Freight TSI, and Passenger TSI
Chained 2000=100

Number of passenger vehicles crossing into the United States via Canada and Mexico, and number of freight trucks crossing into U.S. via Niagara Falls.

The 2016 NCFO dataset is comprised of the responses of all operators who completed the 2016 NCFO. The dataset is made up of ferry operator, vessel, terminal and segment data for the 2015 calendar year.

The 2016 NCFO dataset is comprised of the responses of all operators who completed the 2016 Census, reporting 2015 calendar year ferry operations. The NCFO Flat File includes all five data files: ferry operator, vessel, terminal, segment, and operator segment data files in a single dataset.

About Transportation Services Index

The Transportation Services Index (TSI), created by the U.S. Department of Transportation (DOT), Bureau of Transportation Statistics (BTS), measures the movement of freight and passengers. The index, which is seasonally adjusted, combines available data on freight traffic, as well as passenger travel, that have been weighted to yield a monthly measure of transportation services output.

For charts and discussion on the relationship of the TSI to the economy, see our Transportation as an Economic Indicator: Transportation Services Index page (https://data.bts.gov/stories/s/TET-indicator-1/9czv-tjte)

For release schedule see: https://www.bts.gov/newsroom/transportation-services-index-release-schedule

About seasonally-adjusted data

Statisticians use the process of seasonal-adjustment to uncover trends in data. Monthly data, for instance, are influenced by the number of days and the number of weekends in a month as well as by the timing of holidays and seasonal activity. These influences make it difficult to see underlying changes in the data. Statisticians use seasonal adjustment to control for these influences.

Controlling of seasonal influences allows measurement of real monthly changes; short and long term patterns of growth or decline; and turning points. Data for one month can be compared to data for any other month in the series and the data series can be ranked to find high and low points. Any observed differences are “real” differences; that is, they are differences brought about by changes in the data and not brought about by a change in the number of days or weekends in the month, the occurrence or non-occurrence of a holiday, or seasonal activity.