Bikeshare ridership by system, year, and month for bikeshare systems with docking stations. Data available by month starting in January 2019. Months are rearranged to include the same number of days of the week across years (see below). Data designed to show the impacts of COVID-19 on bikeshare ridership as featured at https://maps.dot.gov/BTS/dockedbikeshare-COVID/

Ridership data not available for all docked bikeshare systems. Only docked bikeshare systems with ridership data shown. Some systems included in the data permit users to leave a bicycle outside of a docking station; these trips are indicated by the trip type. Trips defined as rides from point A to B. If user makes trip from B to A on same day, counted as a second trip. Trips labeled as round trips in Metro Bike Share and Indego trip files counted as 2 trips. Trips with no trip time are not counted. For trips starting and ending at a docking station or on systems where only docked trips are permitted, trips with no start station identifier and/or end station id are not counted in totals. Trips shorter than 1 minute or greater than 2 hours excluded. Days aligned to include the same days of weeks in 2019 and 2020. Days included in each month are as follows:

Days included in each month are as follows:
Jan 2019 (01/02/19 through 02/02/19); Jan 2020 (01/01/20 through 02/01/20); Jan 2021 (12/30/20 through 01/30/21); Jan 2022 (12/29/2021 through 01/29/22)
Feb 2019 (02/03/19 through 03/02/19); Feb 2020 (02/02/20 through 02/29/20); Feb 2021 (01/31/21 through 02/27/21); Feb 2022 (01/30/22 through 02/26/22)
Mar 2019 (03/03/19 through 03/30/19); Mar 2020 (03/01/20 through 03/28/20); Mar 2021 (02/28/21 through 03/29/21); Mar 2022 (02/27/22) through 03/26/22)
Apr 2019 (03/31/19 through 05/04/19); Apr 2020 (03/29/20 through 05/02/20); Apr 2021 (03/28/21 through 05/01/21); Apr 2022 (03/27/22 through 04/30/22)
May 2019 (05/05/19 through 06/01/19); May 2020 (05/03/20 through 05/30/20); May 2021 (05/02/21 through 05/29/21); May 2022 (05/01/22 through 05/28/22)
Jun 2019 (06/02/19 through 06/29/19); Jun 2020 (05/31/20 through 06/27/20); Jun 2021 (05/30/21 through 06/26/21); Jun 2022 (05/29/22 through 06/25/22)
Jul 2019 (06/30/19 through 08/03/19); Jul 2020 (06/28/20 through 08/01/20); Jul 2021 (06/27/21 through 07/31/21); Jul (06/26/22 through 07/30/22)
Aug 2019 (08/04/19 through 08/31/19); Aug 2020 (08/02/20 through 08/29/20); Aug 2021 (08/01/21 through 08/28/21); Aug (07/31/22 through 08/27/22)
Sep 2019 (09/01/19 through 10/05/19); Sep 2020 (08/30/20 through 10/03/20); Sep 2021 (08/29/21 through 10/02/21); Sep 2022 (08/28/22 through 10/01/22)
Oct 2019 (10/06/19 through 11/02/19); Oct 2020 (10/04/20 through 10/31/20); Oct 2021 (10/03/21 through 10/30/21); Oct 2022 (10/02/22 through 10/29/22)
Nov 2019 (11/03/19 through 11/30/19); Nov 2020 (11/01/20 through 11/28/20); Nov 2021 (10/31/21 through 11/27/21); Nov 2022 (10/30/22 through 11/26/22)
Dec 2019 (12/01/19 through 12/31/19); Dec 2020 (11/29/20 through 12/29/20); Dec 2021 (11/28/21 through 12/28/21); Dec 2022 (11/27/22 through 12/27/22)

Trips beginning on 12/31/2019 but ending on 01/01/2020 not included in totals.

Interactive map application featuring data: https://maps.dot.gov/BTS/dockedbikeshare-COVID/

Bikeshare ridership by system for bikeshare systems with docking stations. Data summarized for each system by: (1) month, (2) day, and (3) hour. Data starting in January 2019. In monthly summary, months are rearranged to include the same number of days of the week across years (see below).

Ridership data not available for all docked bikeshare systems. Only docked bikeshare systems with ridership data shown. Some systems included in the data permit users to leave a bicycle outside of a docking station; these trips are indicated by the trip type. Trips defined as rides from point A to B. If user makes trip from B to A on same day, counted as a second trip. Trips labeled as round trips in Metro Bike Share and Indego trip files counted as 2 trips. Trips with no trip time are not counted. For trips starting and ending at a docking station or on systems where only docked trips are permitted, trips with no start station identifier and/or end station id are not counted in totals. Trips shorter than 1 minute or greater than 2 hours excluded. In monthly summary, days aligned to include the same days of weeks across years.

Days included in each month are as follows:
Jan 2019 (01/02/19 through 02/02/19); Jan 2020 (01/01/20 through 02/01/20); Jan 2021 (12/30/20 through 01/30/21); Jan 2022 (12/29/2021 through 01/29/22)
Feb 2019 (02/03/19 through 03/02/19); Feb 2020 (02/02/20 through 02/29/20); Feb 2021 (01/31/21 through 02/27/21); Feb 2022 (01/30/22 through 02/26/22)
Mar 2019 (03/03/19 through 03/30/19); Mar 2020 (03/01/20 through 03/28/20); Mar 2021 (02/28/21 through 03/29/21); Mar 2022 (02/27/22) through 03/26/22)
Apr 2019 (03/31/19 through 05/04/19); Apr 2020 (03/29/20 through 05/02/20); Apr 2021 (03/28/21 through 05/01/21); Apr 2022 (03/27/22 through 04/30/22)
May 2019 (05/05/19 through 06/01/19); May 2020 (05/03/20 through 05/30/20); May 2021 (05/02/21 through 05/29/21); May 2022 (05/01/22 through 05/28/22)
Jun 2019 (06/02/19 through 06/29/19); Jun 2020 (05/31/20 through 06/27/20); Jun 2021 (05/30/21 through 06/26/21); Jun 2022 (05/29/22 through 06/25/22)
Jul 2019 (06/30/19 through 08/03/19); Jul 2020 (06/28/20 through 08/01/20); Jul 2021 (06/27/21 through 07/31/21); Jul (06/26/22 through 07/30/22)
Aug 2019 (08/04/19 through 08/31/19); Aug 2020 (08/02/20 through 08/29/20); Aug 2021 (08/01/21 through 08/28/21); Aug (07/31/22 through 08/27/22)
Sep 2019 (09/01/19 through 10/05/19); Sep 2020 (08/30/20 through 10/03/20); Sep 2021 (08/29/21 through 10/02/21); Sep 2022 (08/28/22 through 10/01/22)
Oct 2019 (10/06/19 through 11/02/19); Oct 2020 (10/04/20 through 10/31/20); Oct 2021 (10/03/21 through 10/30/21); Oct 2022 (10/02/22 through 10/29/22)
Nov 2019 (11/03/19 through 11/30/19); Nov 2020 (11/01/20 through 11/28/20); Nov 2021 (10/31/21 through 11/27/21); Nov 2022 (10/30/22 through 11/26/22)
Dec 2019 (12/01/19 through 12/31/19); Dec 2020 (11/29/20 through 12/29/20); Dec 2021 (11/28/21 through 12/28/21); Dec 2022 (11/27/22 through 12/27/22)

Data visualizations available at: https://data.bts.gov/stories/s/Summary-of-Docked-Bikeshare-Trips-by-System-and-Ot/7fgy-2zkf/

Bikeshare ridership by system, year, month, and hour the trip ended at for bikeshare systems with docking stations. Data available by month starting in January 2019. Months are rearranged to include the same number of days of the week across years (see below). Data designed to show the impacts of COVID-19 on bikeshare ridership as featured at https://maps.dot.gov/BTS/dockedbikeshare-COVID/

Ridership data not available for all docked bikeshare systems. Only docked bikeshare systems with ridership data shown. Some systems included in the data permit users to leave a bicycle outside of a docking station; these trips are indicated by the trip type. Trips defined as rides from point A to B. If user makes trip from B to A on same day, counted as a second trip. Trips labeled as round trips in Metro Bike Share and Indego trip files counted as 2 trips. Trips with no trip time are not counted. For trips starting and ending at a docking station or on systems where only docked trips are permitted, trips with no start station identifier and/or end station id are not counted in totals. Trips shorter than 1 minute or greater than 2 hours excluded. Days aligned to include the same days of weeks in 2019 and 2020. Days included in each month are as follows:

Days included in each month are as follows:
Jan 2019 (01/02/19 through 02/02/19); Jan 2020 (01/01/20 through 02/01/20); Jan 2021 (12/30/20 through 01/30/21); Jan 2022 (12/29/2021 through 01/29/22)
Feb 2019 (02/03/19 through 03/02/19); Feb 2020 (02/02/20 through 02/29/20); Feb 2021 (01/31/21 through 02/27/21); Feb 2022 (01/30/22 through 02/26/22)
Mar 2019 (03/03/19 through 03/30/19); Mar 2020 (03/01/20 through 03/28/20); Mar 2021 (02/28/21 through 03/29/21); Mar 2022 (02/27/22) through 03/26/22)
Apr 2019 (03/31/19 through 05/04/19); Apr 2020 (03/29/20 through 05/02/20); Apr 2021 (03/28/21 through 05/01/21); Apr 2022 (03/27/22 through 04/30/22)
May 2019 (05/05/19 through 06/01/19); May 2020 (05/03/20 through 05/30/20); May 2021 (05/02/21 through 05/29/21); May 2022 (05/01/22 through 05/28/22)
Jun 2019 (06/02/19 through 06/29/19); Jun 2020 (05/31/20 through 06/27/20); Jun 2021 (05/30/21 through 06/26/21); Jun 2022 (05/29/22 through 06/25/22)
Jul 2019 (06/30/19 through 08/03/19); Jul 2020 (06/28/20 through 08/01/20); Jul 2021 (06/27/21 through 07/31/21); Jul (06/26/22 through 07/30/22)
Aug 2019 (08/04/19 through 08/31/19); Aug 2020 (08/02/20 through 08/29/20); Aug 2021 (08/01/21 through 08/28/21); Aug (07/31/22 through 08/27/22)
Sep 2019 (09/01/19 through 10/05/19); Sep 2020 (08/30/20 through 10/03/20); Sep 2021 (08/29/21 through 10/02/21); Sep 2022 (08/28/22 through 10/01/22)
Oct 2019 (10/06/19 through 11/02/19); Oct 2020 (10/04/20 through 10/31/20); Oct 2021 (10/03/21 through 10/30/21); Oct 2022 (10/02/22 through 10/29/22)
Nov 2019 (11/03/19 through 11/30/19); Nov 2020 (11/01/20 through 11/28/20); Nov 2021 (10/31/21 through 11/27/21); Nov 2022 (10/30/22 through 11/26/22)
Dec 2019 (12/01/19 through 12/31/19); Dec 2020 (11/29/20 through 12/29/20); Dec 2021 (11/28/21 through 12/28/21); Dec 2022 (11/27/22 through 12/27/22)

Trips beginning on 12/31/2019 but ending on 01/01/2020 not included in totals.

Interactive map application featuring data: https://maps.dot.gov/BTS/dockedbikeshare-COVID/

Bikeshare ridership by system, year, month, and station at which trip ended for bikeshare systems with docking stations. Data available by month starting in January 2019. Months are rearranged to include the same number of days of the week across years (see below). Data designed to show the impacts of COVID-19 on bikeshare ridership as featured at https://maps.dot.gov/BTS/dockedbikeshare-COVID/

Ridership data not available for all docked bikeshare systems. Only docked bikeshare systems with ridership data shown. Some systems included in the data permit users to leave a bicycle outside of a docking station; these trips are not counted. Trips defined as rides from point A to B. If user makes trip from B to A on same day, counted as a second trip. Trips labeled as round trips in Metro Bike Share and Indego trip files counted as 2 trips. Trips with no trip time are not counted. Trips with no start station identifier and/or end station id are not counted in totals. Trips shorter than 1 minute or greater than 2 hours excluded. Days aligned to include the same days of weeks in 2019 and 2020. Days included in each month are as follows:

Days included in each month are as follows:
Jan 2019 (01/02/19 through 02/02/19); Jan 2020 (01/01/20 through 02/01/20); Jan 2021 (12/30/20 through 01/30/21); Jan 2022 (12/29/2021 through 01/29/22)
Feb 2019 (02/03/19 through 03/02/19); Feb 2020 (02/02/20 through 02/29/20); Feb 2021 (01/31/21 through 02/27/21); Feb 2022 (01/30/22 through 02/26/22)
Mar 2019 (03/03/19 through 03/30/19); Mar 2020 (03/01/20 through 03/28/20); Mar 2021 (02/28/21 through 03/29/21); Mar 2022 (02/27/22) through 03/26/22)
Apr 2019 (03/31/19 through 05/04/19); Apr 2020 (03/29/20 through 05/02/20); Apr 2021 (03/28/21 through 05/01/21); Apr 2022 (03/27/22 through 04/30/22)
May 2019 (05/05/19 through 06/01/19); May 2020 (05/03/20 through 05/30/20); May 2021 (05/02/21 through 05/29/21); May 2022 (05/01/22 through 05/28/22)
Jun 2019 (06/02/19 through 06/29/19); Jun 2020 (05/31/20 through 06/27/20); Jun 2021 (05/30/21 through 06/26/21); Jun 2022 (05/29/22 through 06/25/22)
Jul 2019 (06/30/19 through 08/03/19); Jul 2020 (06/28/20 through 08/01/20); Jul 2021 (06/27/21 through 07/31/21); Jul (06/26/22 through 07/30/22)
Aug 2019 (08/04/19 through 08/31/19); Aug 2020 (08/02/20 through 08/29/20); Aug 2021 (08/01/21 through 08/28/21); Aug (07/31/22 through 08/27/22)
Sep 2019 (09/01/19 through 10/05/19); Sep 2020 (08/30/20 through 10/03/20); Sep 2021 (08/29/21 through 10/02/21); Sep 2022 (08/28/22 through 10/01/22)
Oct 2019 (10/06/19 through 11/02/19); Oct 2020 (10/04/20 through 10/31/20); Oct 2021 (10/03/21 through 10/30/21); Oct 2022 (10/02/22 through 10/29/22)
Nov 2019 (11/03/19 through 11/30/19); Nov 2020 (11/01/20 through 11/28/20); Nov 2021 (10/31/21 through 11/27/21); Nov 2022 (10/30/22 through 11/26/22)
Dec 2019 (12/01/19 through 12/31/19); Dec 2020 (11/29/20 through 12/29/20); Dec 2021 (11/28/21 through 12/28/21); Dec 2022 (11/27/22 through 12/27/22)

Trips beginning on 12/31/2019 but ending on 01/01/2020 not included in totals.

Interactive map application featuring data: https://maps.dot.gov/BTS/dockedbikeshare-COVID/

Bikeshare ridership by system, year, month, and day for bikeshare systems with docking stations. Data available by month starting in January 2019. Months are rearranged to include the same number of days of the week across years (see below). Data designed to show the impacts of COVID-19 on bikeshare ridership as featured at https://maps.dot.gov/BTS/dockedbikeshare-COVID/

Ridership data not available for all docked bikeshare systems. Only docked bikeshare systems with ridership data shown. Some systems included in the data permit users to leave a bicycle outside of a docking station; these trips are not counted. Trips defined as rides from point A to B. If user makes trip from B to A on same day, counted as a second trip. Trips labeled as round trips in Metro Bike Share and Indego trip files counted as 2 trips. Trips with no trip time are not counted. Trips with no start station identifier and/or end station id are not counted in totals. Trips shorter than 1 minute or greater than 2 hours excluded. Days aligned to include the same days of weeks in 2019 and 2020. Days included in each month are as follows:

Days included in each month are as follows:
Jan 2019 (01/02/19 through 02/02/19); Jan 2020 (01/01/20 through 02/01/20); Jan 2021 (12/30/20 through 01/30/21); Jan 2022 (12/29/2021 through 01/29/22)
Feb 2019 (02/03/19 through 03/02/19); Feb 2020 (02/02/20 through 02/29/20); Feb 2021 (01/31/21 through 02/27/21); Feb 2022 (01/30/22 through 02/26/22)
Mar 2019 (03/03/19 through 03/30/19); Mar 2020 (03/01/20 through 03/28/20); Mar 2021 (02/28/21 through 03/29/21); Mar 2022 (02/27/22) through 03/26/22)
Apr 2019 (03/31/19 through 05/04/19); Apr 2020 (03/29/20 through 05/02/20); Apr 2021 (03/28/21 through 05/01/21); Apr 2022 (03/27/22 through 04/30/22)
May 2019 (05/05/19 through 06/01/19); May 2020 (05/03/20 through 05/30/20); May 2021 (05/02/21 through 05/29/21); May 2022 (05/01/22 through 05/28/22)
Jun 2019 (06/02/19 through 06/29/19); Jun 2020 (05/31/20 through 06/27/20); Jun 2021 (05/30/21 through 06/26/21); Jun 2022 (05/29/22 through 06/25/22)
Jul 2019 (06/30/19 through 08/03/19); Jul 2020 (06/28/20 through 08/01/20); Jul 2021 (06/27/21 through 07/31/21); Jul (06/26/22 through 07/30/22)
Aug 2019 (08/04/19 through 08/31/19); Aug 2020 (08/02/20 through 08/29/20); Aug 2021 (08/01/21 through 08/28/21); Aug (07/31/22 through 08/27/22)
Sep 2019 (09/01/19 through 10/05/19); Sep 2020 (08/30/20 through 10/03/20); Sep 2021 (08/29/21 through 10/02/21); Sep 2022 (08/28/22 through 10/01/22)
Oct 2019 (10/06/19 through 11/02/19); Oct 2020 (10/04/20 through 10/31/20); Oct 2021 (10/03/21 through 10/30/21); Oct 2022 (10/02/22 through 10/29/22)
Nov 2019 (11/03/19 through 11/30/19); Nov 2020 (11/01/20 through 11/28/20); Nov 2021 (10/31/21 through 11/27/21); Nov 2022 (10/30/22 through 11/26/22)
Dec 2019 (12/01/19 through 12/31/19); Dec 2020 (11/29/20 through 12/29/20); Dec 2021 (11/28/21 through 12/28/21); Dec 2022 (11/27/22 through 12/27/22)

Trips beginning on 12/31/2019 but ending on 01/01/2020 not included in totals.

Interactive map application featuring data: https://maps.dot.gov/BTS/dockedbikeshare-COVID/

Release Note

BTS is withholding the scheduled release of the passenger and combined indexes for January. The passenger index is a statistical estimate of airline passenger travel and other components based on historical trends up to December 2019. As a result, the estimates have yet to fully account for the impact of the coronavirus. Air freight is also a statistical estimate. Since air freight makes up a smaller part of the freight index, the freight TSI is being released as scheduled.

Description

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.

Release Note

BTS is withholding the scheduled release of the passenger and combined indexes for January. The passenger index is a statistical estimate of airline passenger travel and other components based on historical trends up to December 2019. As a result, the estimates have yet to fully account for the impact of the coronavirus. Air freight is also a statistical estimate. Since air freight makes up a smaller part of the freight index, the freight TSI is being released as scheduled.

Description

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.

Release Note

BTS is withholding the scheduled release of the passenger and combined indexes for January. The passenger index is a statistical estimate of airline passenger travel and other components based on historical trends up to December 2019. As a result, the estimates have yet to fully account for the impact of the coronavirus. Air freight is also a statistical estimate. Since air freight makes up a smaller part of the freight index, the freight TSI is being released as scheduled.

Description

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.

Release Note

BTS is withholding the scheduled release of the passenger and combined indexes for January. The passenger index is a statistical estimate of airline passenger travel and other components based on historical trends up to December 2019. As a result, the estimates have yet to fully account for the impact of the coronavirus. Air freight is also a statistical estimate. Since air freight makes up a smaller part of the freight index, the freight TSI is being released as scheduled.

Description

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.

Release Note

BTS is withholding the scheduled release of the passenger and combined indexes for January. The passenger index is a statistical estimate of airline passenger travel and other components based on historical trends up to December 2019. As a result, the estimates have yet to fully account for the impact of the coronavirus. Air freight is also a statistical estimate. Since air freight makes up a smaller part of the freight index, the freight TSI is being released as scheduled.

Description

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.