Name: Forbes Celebrity 100 Since 2005 (for Racing Bar)
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Forbes Celebrity 100 Since 2005 (for Racing Bar)

Context

Medium article made with this dataset:

Making Beautiful Racing Bar Animations for YouTube:
https://medium.com/analytics-vidhya/making-beautiful-racing-bar-animations-for-youtube-869e55073547

YouTube videos made with this dataset:

Highest earning personalities: https://youtu.be/Lf8V85mOkdM
Highest earning musicians: https://youtu.be/omTlzSCHDOc
Highest earning comedians: https://youtu.be/otnMVXe_jJ4
Who earns more, Actors or Directors?: https://youtu.be/l0YLzclnKwE
Forbes celebrity 100 since 2005: https://youtu.be/UAwGSOdr5Ko
Highest earning actors: https://youtu.be/ea5cCx5SqCE

This dataset contains salary/earning information of celebrities including actors, athletes, tv personalities since 2005. Data was gathered from the historical "Celebrity 100" lists of Forbes magazine.

It contains 4 columns and 1647 rows (number of rows will be increased each year). As of 2021, the dataset covers a span of 16 years of celebrity earnings since 2005. Unfortunately, no information was found before 2005.

Data was collected from various sources and organised in Python/Jupyter Notebook stack. Mainly the archives of Forbes is used, also some auxiliary sources like The Daily Telegraph newspaper archives are used.

Tables

Forbes Celebrity 100

@kaggle.slayomer_forbes_celebrity_100_since_2005.forbes_celebrity_100

15.52 kB
1,647 rows
4 columns

CREATE TABLE forbes_celebrity_100 (
  "name" VARCHAR,
  "pay_usd_millions" DOUBLE  -- Pay (USD Millions),
  "year" BIGINT,
  "category" VARCHAR
);