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Eurovision Song Contest Performance Data
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Data detailing entries, results, and contextual variables for the Eurovision Song Contest spanning the years 2016 through 2025. This specific time period is defined by the major voting process change implemented in 2016, where jury and televote scores were split into separate entities, significantly altering the point structure. The data includes variables related to the songs, artists, participating countries, various results (finals and semi-finals), national selection methods, and pre-contest polls.
Columns
- Year: The year the contest took place, covering 2016 to 2025.
- Country: The participating nation (46 unique countries represented, including Australia).
- Song: The title of the musical entry.
- Artist: The name of the performer or group.
- Final_Place: The finishing rank in the Grand Final (ranging from 1 to 26). This is null if the entry did not qualify.
- Final_Points: The total points achieved in the Grand Final (maximum recorded is 758).
- Top 5 / Top 10: Indicator variables (1 or 0) showing if the artist finished in the top five or top ten, respectively.
- Grand_Final_Ind: Indicator (1 or 0) noting whether the artist successfully qualified for the final.
- Big6_Ind: Indicator (1 or 0) marking countries that automatically qualify for the final (The 'Big 6').
- Semi_Place / Semi_Points: The finishing position and points achieved by the artist in their respective semi-final.
- Running_Order_Final / Running_Order_Semi: The sequential order the artist performed in during the final or semi-final.
- National_Final: Indicator (1 or 0) if the entry was selected via a national selection event.
- Solo_Artist: Indicator (1 or 0) for a solo performer.
- Sex: Categorisation of the artist's biological sex (M, F, or Mixed for groups).
- Number of Members: The count of constituent members in the artist act (ranging from 1 to 6).
- Language1: The primary language used in the song (English is the majority language).
- Multiple_Language: Indicator (1 or 0) showing if more than one language was used.
- National_Language_Used: Boolean indicating if the country's national language is present in the song.
- EU / NATO: Indicators (1 or 0) regarding the country's membership status in the European Union or NATO.
- Country_Group: Geographical classification of the participating nation (e.g., Western, Northern).
- MyESB_Community / MyESB_Personal: Rankings derived from the My ESC Scoreboard application community and personal scores.
- OGAE_Points: Points awarded based on the OGAE official fan poll.
Distribution
The dataset is structured as a tabular CSV file named
eurovision_2016-25.csv. The file size is 43.9 kB and contains 33 columns. There are 358 total records available across the years 2016 to 2025. Variables related to final results (e.g., Final_Place, Final_Points) have approximately 42% missing values, as these entries failed to qualify for the Grand Final.Usage
This data is suitable for advanced statistical analysis of how the 2016 voting rule change influenced outcomes. Potential applications include analysing the success rate based on selection method (national final versus internal selection), modelling the correlation between pre-contest fan polls and final jury/televote scores, or investigating geopolitical voting tendencies using the EU and NATO indicators. It can also be used to track qualification records and performance metrics across the recent decade of the contest.
Coverage
The dataset covers the period from 2016 up to 2025. Geographically, it includes all countries participating in the Eurovision Song Contest during this era, spanning Europe and Australia, totalling 46 unique countries. Data on song languages is available, with English being the most dominant language. Statistical details are present for song and artist features, including the number of members in the act and the artist's sex.
License
CC0: Public Domain
Who Can Use It
- Academics and Researchers: Analysing the impact of institutional changes (voting rules) and studying cultural performance predictors.
- Data Analysts: Developing statistical models to predict qualification or final rankings based on artist, song, and contextual factors.
- Eurovision Enthusiasts: Exploring deep historical statistics, fan ranking correlations, and contest trends over the past decade.
Dataset Name Suggestions
- Eurovision Song Contest Performance Data (2016-2025)
- ESC Voting Era Analytics
- Eurovision Song and Artist Metrics 2016-2025
Attributes
Original Data Source: Eurovision Song Contest Performance Data
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