In 2025, the Tour de France's social media following amounted to nearly ** million. Meanwhile, the 2025 Tour racked up *** billion video views.

Nearly *** million people in Europe watched the Tour de France in 2025, with over *** million hours of live television being watched in total. In France, ** million people watched the iconic race.

As of 2025, the record for the most Tour de France victories was shared by four ****-time winners: Jacques Anquetil, Eddy Merckx, Bernard Hinault, and Miguel Indurain. Slovenia's Tadej Pogačar has been dominant in recent years, winning the race on **** occasions since 2020.

A collection of personal information about the year on year winner of the Tour de France from 1903 to the most recent tour. Basic information is also included on each Tour. Information is collated from www.procyclingstats.com and personal Wikipedia entries about the rider.

Context

As of now the race of Tour De France is traveling around France, and different riders have been doing so for many years. I wanted to explore the history of Tour De France from a data perspective. That was my motivation for gathering this dataset.

Content

The dataset contains 2236 stages over 8 different variables:

• Stage - The stage number of the stage in the respective year.
• Date - Self explanatory. The date ranges from 1st of July 1903 to 23rd of July 2017.
• Distance - The distance in km of the stage.
• Origin - The name of the city for which the stage starts.
• Destination - The name of the city for which the stage ends.
• Type - The type of the stage. There are 18 different stages. Some very similar.
• Winner - The name of the winner of the stage.
• Winner_Country - The country of the winner.

Acknowledgements

I want to thank Wikipedia for making their data easy accessible. Photo by Howard Lawrence B on Unsplash.

Inspiration

I have answer questions of my own in my kernel. There are still lots of questions to answered. Further, one can expand the dataset in many ways.

The information relates to the economic boost from the Tour de France 2014, for the City of Bradford Metropolitan District and wider. How various teams worked together seamlessly to provide a service, and the overall impact on tourism, business, cycling and the region.

The following dataset provides the results of the TdF social and economic impact survey, conducted during the Tour de France 2014. Please note We are aware of data quality errors in this dataset. This is currently under review. Any personal data collected has been removed and postcode restricted to district area. This is a one off publication and will only be updated to improve the quality of data.

Dataset

This dataset was created by Ankit Raturi

Contents

In 2025, ********************** won the Tour de France Femmes, becoming the first Frenchwoman to do so. Meanwhile, 2023 winner ************** finished in second place.

The Tour de France today is an annual men's multiple stage bicycle race primarily held in France, while also occasionally passing through nearby countries. Like the other Grand Tours, it consists of 21 day-long stages over the course of 23 days.

The race started in 1903 and it has changed over the years. Here are 3 datasets with very obvious column names with information about TDF winners, stage general info and detailed stages data for every rider on every edition. I hope you enjoy this data.

This datasets were put together by Thomas Mock in this github: https://github.com/rfordatascience/tidytuesday/blob/master/data/2020/2020-04-07/readme.md

stage_data.csv - edition: Race edition - year: Year of race - stage_results_id: Stage ID - rank: Rank of racer for stage - time: Time of racer - rider: Rider name - age: Age of racer - team: Team (NA if not on team) - points: Points for the stage - elapsed: Time elapsed stored as lubridate::period - bib_number: Bib number

tdf_stages.csv - Stage: Stage Number - Date: Date of stage - Distance: Distance in KM - Origin: Origin city - Destination: Destination city - Type: Stage Type - Winner: Winner of the stage - Winner_Country: Winner's nationality

tdf_winners.csv - edition: Edition of the Tour de France - start_date: Start date of the Tour - winner_name: Winner's name - winner_team: Winner's team (NA if not on a team) - distance: Distance traveled in KM across the entire race - time_overall: Time in hours taken by the winner to complete the race - time_margin: Difference in finishing time between the race winner and the runner up - stage_wins: Number of stage wins (note that it is possible to win the GC without winning any stages at all) - stages_led: Stages led is the number of stages spent as the race leader (wearing the yellow jersey) by the eventual winner - height: Height in meters - weight: Weight in kg - age: Age as winner - born: year born - died: Year died - full_name: Full name - nickname: Nickname - birth_town: Birth town - birth_country: Birth country - nationality: Nationality

In 2024, there were *** entrants in the Tour de France, with *** of these finishing the race. This was a decrease on the previous year, when the same number of entrants saw *** finishers.

This dataset contains Riders of Stages from the famous Le Tour de France between 1903 and 2023.

Every cyclist of the Tour de France in a single CSV file, stored in the file data/TDF_Riders_History.csv. There's also data on every stage in data/TDF_Stages_History.csv.

The women's tour data is stored in files with the prefix TDFF (Tour de France Femmes).

The GEOSJON File with routes can be found here.

CSV files can be found here

Acknowlegement

Foto von Tom Sam auf Unsplash

As of 2025, the Tour de France had been won by French riders more often than any other country, with a participant from the host nation winning on ** occasions. Belgium ranked second, with ** wins in total, while Spain ranked third.

All about the Grande Boucle!

Dataset

This dataset was created by Muhammad Syahmi Nor Mokles

Contents

In 2024, the winner of the Tour de France, Tadej Pogačar, maintained an average speed of around ***** kilometers per hour. The Slovenian cyclist also won the famous event in 2021 with an average speed of ***** kilometers per hour.

This dataset includes career statistics for Tour de France starters between 1995 and 2019 as a pickle file.
The data was scraped from ProCyclingStats and was cleaned and transformed into the long-format to be used in a LSTM network (the trained model is also included in the dataset).
If interested, the full code can be found on GitHub: TDF Starters RUL

Introduction

Bicycle Statistics: Cycling transcends being merely a means of transportation. It represents a substantial global industry, with projections indicating that the international bicycle market will exceed 60 billion U.S. dollars in 2025. Additionally, it is recognized as a respected professional sport, with major cycling events ranking among the most popular in the realm of global sports: in 2024, the European television audience for the Tour de France reached approximately 150 million viewers.

Offering numerous benefits both on and off the bike, cycling is poised to continue as a vital component of the global sports market for the foreseeable future. Bicycles are commonly used for various activities such as sports, hiking, exercise, commuting, and more. So, manufacturers provide a diverse range of designs to cater to these different applications, aiming to attract a broader customer base.

Factors such as increasing traffic congestion, surrounding environmental issues, and urbanization are propelling industrial growth. This article will provide further insights into 'Bicycle Industry Statistics.

Detailed report looking over the Tour de France for the 2020 event, taking a closer look at the league's sponsorship and media landscape. Read More

Dataset showing the 2014 Tour de France route within the Leeds metropolitan district boundary.

Please note

• This dataset is a one-off publication.

Licence information

• This dataset includes Ordnance Survey derived data. As such, you may use this for personal, non-commercial use only. By accessing the data you are deemed to have accepted the Public Sector End User Licence – INSPIRE. Further details can be found by following the link: http://www.ordnancesurvey.co.uk/business-and-government/public-sector/mapping-agreements/inspire-licence.html

• If you wish to re-use this dataset for commercial purposes, please contact Ordnance Survey at https://www.ordnancesurvey.co.uk/contact

• © Crown copyright and database rights 2014. Ordnance Survey, LA 100019567