2 datasets found
  1. Transportation Services Index and Seasonally-Adjusted Transportation Data

    • data.bts.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Jul 11, 2025
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    Bureau of Transportation Statistics (2025). Transportation Services Index and Seasonally-Adjusted Transportation Data [Dataset]. https://data.bts.gov/Research-and-Statistics/Transportation-Services-Index-and-Seasonally-Adjus/bw6n-ddqk
    Explore at:
    csv, application/rssxml, xml, json, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Bureau of Transportation Statisticshttp://www.rita.dot.gov/bts
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    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.

  2. Transportation Service Index and Seasonally-Adjusted Transportation Data

    • datalumos.org
    delimited
    Updated Apr 15, 2025
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    United States Department of Transportation. Research and Innovative Technology Administration. Bureau of Transportation Statistics (2025). Transportation Service Index and Seasonally-Adjusted Transportation Data [Dataset]. http://doi.org/10.3886/E226822V1
    Explore at:
    delimitedAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    Bureau of Transportation Statisticshttp://www.rita.dot.gov/bts
    Authors
    United States Department of Transportation. Research and Innovative Technology Administration. Bureau of Transportation Statistics
    License

    https://creativecommons.org/share-your-work/public-domain/pdmhttps://creativecommons.org/share-your-work/public-domain/pdm

    Time period covered
    2000 - 2025
    Area covered
    United States
    Description

    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 the Transportation as an Economic Indicator: Transportation Services Index page (https://data.bts.gov/stories/s/TET-indicator-1/9czv-tjte). 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.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Bureau of Transportation Statistics (2025). Transportation Services Index and Seasonally-Adjusted Transportation Data [Dataset]. https://data.bts.gov/Research-and-Statistics/Transportation-Services-Index-and-Seasonally-Adjus/bw6n-ddqk
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Transportation Services Index and Seasonally-Adjusted Transportation Data

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
csv, application/rssxml, xml, json, tsv, application/rdfxmlAvailable download formats
Dataset updated
Jul 11, 2025
Dataset authored and provided by
Bureau of Transportation Statisticshttp://www.rita.dot.gov/bts
License

https://www.usa.gov/government-workshttps://www.usa.gov/government-works

Description

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.

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