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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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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Graph and download economic data for Freight Transportation Services Index (TSIFRGHT) from Jan 2000 to May 2025 about freight, transportation, services, indexes, and USA.
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Graph and download economic data for Passenger Transportation Services Index (TSIPSNGR) from Jan 2000 to Apr 2025 about passenger, transportation, services, indexes, and USA.
A monthly measure of the volume of services performed by the for-hire transportation sector. The index covers the activities of for-hire trucking, freight railroad services, inland waterway traffic, pipeline movements, and air freight.
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Graph and download economic data for Combined Transportation Services Index (TSITTL) from Jan 2000 to Apr 2025 about transportation, services, indexes, and USA.
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The US freight transportation services index (TSI) measures the annual output of the US transportation sector. The index is composed of ton-miles of freight, or tons when ton-miles are not available, generated by for-hire trucking, railroad, inland waterway, pipeline and airfreight carriers. The TSI excludes international and coastal steamship activities, along with private trucking, courier services, and operations by the US Postal Service. The data is sourced from the Department of Transportation's Bureau of Transportation Statistics. The index is seasonally adjusted and its base year is 2000.
A monthly measure of the volume of services performed by the for-hire transportation sector. The index covers the activities of local mass transit, intercity passenger rail, and passenger air transportation.
Transportation Services Index 2000-Present, including numbers and percent changes for TSI, Freight TSI, and Passenger TSI Chained 2000=100
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Richmond Fed Services Index in the United States increased to 2 points in July from -1 points in June of 2025. This dataset includes a chart with historical data for the United States Richmond Fed Services Index.
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Dallas Fed Services Index in the United States increased to 2 points in July from -4.40 points in June of 2025. This dataset includes a chart with historical data for the United States Dallas Fed Services Index.
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Analysis of ‘Transportation Services Index and Seasonally-Adjusted Transportation Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/07581212-0326-4ab8-82e9-eb6f6e4cac4a on 27 January 2022.
--- Dataset description provided by original source is as follows ---
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.
--- Original source retains full ownership of the source dataset ---
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United States - Freight Transportation Services Index was -0.20000 % Chg. from Preceding Period in May of 2025, according to the United States Federal Reserve. Historically, United States - Freight Transportation Services Index reached a record high of 3.20000 in July of 2020 and a record low of -7.60000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Freight Transportation Services Index - last updated from the United States Federal Reserve on August of 2025.
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License information was derived automatically
United States - Passenger Transportation Services Index was 2.00000 % Chg. from Preceding Period in March of 2025, according to the United States Federal Reserve. Historically, United States - Passenger Transportation Services Index reached a record high of 36.20000 in August of 2020 and a record low of -81.50000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Passenger Transportation Services Index - last updated from the United States Federal Reserve on July of 2025.
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United States - Passenger Transportation Services Index was 126.10000 Chain-type Index 2000=100 in April of 2025, according to the United States Federal Reserve. Historically, United States - Passenger Transportation Services Index reached a record high of 137.00000 in January of 2020 and a record low of 13.00000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Passenger Transportation Services Index - last updated from the United States Federal Reserve on August of 2025.
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United States - Combined Transportation Services Index was 130.50000 Chain-type Index 2000=100 in April of 2025, according to the United States Federal Reserve. Historically, United States - Combined Transportation Services Index reached a record high of 138.70000 in August of 2019 and a record low of 80.90000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Combined Transportation Services Index - last updated from the United States Federal Reserve on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Micronesia: Public services index, 0 (high) - 10 (low): The latest value from 2024 is 5.9 index points, a decline from 6.2 index points in 2023. In comparison, the world average is 5.33 index points, based on data from 176 countries. Historically, the average for Micronesia from 2007 to 2024 is 6.28 index points. The minimum value, 5.4 index points, was reached in 2019 while the maximum of 7.2 index points was recorded in 2008.
Page describes the U.S. Department of Transportation, Bureau of Transportation Statistics' Transportation Services Index (TSI) which measures for-hire freight and passenger transportation volumes moved monthly
In 2023, Malta was leading among other European countries with the availability of digital public services, with a 100 out of 100 index score. Estonia followed, with a score of *****. Overall, the EU average score on digital public service availability was *****.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Monthly movements in output for the services industries: distribution, hotels and restaurants; transport, storage and communication; business services and finance; and government and other services.
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.