Wednesday, September 11, 2024

The Map to the White House

NBC has launched the 2024 edition of its Road to 270 interactive electoral college map. The map visualizes the current likely, possible and fantastical outcomes of the 2024 U.S. Presidential race. Last night Kamala Harris and Donald Trump went head-to-head in their first presidential debate. The Philadelphia debate was a hugely significant opportunity for both Harris and Trump to present their case for the presidency.

Following the debate you can now use ABC's map to predict the result of November's election. You can click on individual states on the map to predict whether you think they will swing for either Harris or Trump. The map will then automatically assign that state's electors to the chosen candidate and tally the total number of votes of each candidate. A candidate needs at least 270 electoral votes to win the 2024 presidential election.

As well as allowing readers to predict their own electoral map NBC has also mapped out a number of possible outcomes. Steve Kornacki's 'electoral tie' map outlines a theoretical drawn outcome where both candidates receive 269 electoral votes (in which case the deadlock would be broken by the House of Representatives). Kornacki has also mapped out Trump and Harris' most likely direct path to the White House, while Kristen Welker has mapped out scenarios for 'Trump's Dream Path' and 'Harris' Dream Path' to the Presidency.

If you want to know how last night's debate has affected the possible results of the election then you can also refer to 538's Who Is Favored To Win The 2024 Presidential Election? (although at the time of writing 538 has yet to update with the results of the post-debate polls - but I am sure it will update soon). 

If you click on a state on the 538 map you can discover how many electoral votes are up for grabs in the state and which candidate is most likely to win those votes based on the polls and 538's election simulations. 538's simulations are based on extensive polling, economic and demographic data, 

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