President Trump Job Approval | RealClearPolling

According to a July 2025 survey, Donald Trump's favorability among Republicans was strong, with 60 percent viewing him very favorably and 29 percent somewhat favorably. This overwhelming support from his party base contrasts sharply with Democrats, of whom 90 percent viewed Trump very unfavorably. Independents were more divided, with 28 percent expressing some degree of favorability towards the former president. Electoral college victory Trump's popularity among Republicans translated into electoral success in the 2024 presidential election. He secured 312 electoral votes, surpassing the 270 needed to win the presidency. This victory came as Trump won all seven swing states, some by significant margins, despite pre-election polls showing only a slight lead in most battleground states. Increased republican support The 2024 election saw Republicans gain ground across the country. Every state reported an increase in Republican votes compared to 2020, with New York showing the largest gain of 6.43 percent. New Jersey and Florida also saw significant increases of nearly five percent. This surge in Republican support led to Trump flipping six states that he had lost in the previous election, contributing to his decisive victory.

2024 National: Trump vs. Harris | RealClearPolling

As of April 2025, about 44 percent of Americans approved of the way Donald Trump was handling his job as president. President Trump’s public approval fluctuated during his first term, falling to 34 percent toward the end of his first term in 2021. Approval of Administration Donald Trump’s presidency has caused a lot of controversy and debate both within and outside the United States. It took only eight days from his first day in office for Donald Trump to receive a 50 percent disapproval rating. The President is not the only politician with low approval ratings, as many Senators also face low approval ratings. However, President Trump’s second term approval ratings are not much lower than his approval rating after the same amount of time in office during his first term.

The 2016 U.S. presidential election was contested by Donald J. Trump of the Republican Party, and Hillary Rodham Clinton of the Democratic Party. Clinton had been viewed by many as the most likely to succeed President Obama in the years leading up to the election, after losing the Democratic nomination to him in 2008, and entered the primaries as the firm favorite. Independent Senator Bernie Sanders soon emerged as Clinton's closest rival, and the popularity margins decreased going into the primaries. A few other candidates had put their name forward for the Democratic nomination, however all except Clinton and Sanders had dropped out by the New Hampshire primary. Following a hotly contested race, Clinton arrived at the Democratic National Convention with 54 percent of pledged delegates, while Sanders had 46 percent. Controversy emerged when it was revealed that Clinton received the support of 78 percent of Democratic superdelegates, while Sanders received just seven percent. With her victory, Hillary Clinton became the first female candidate nominated by a major party for the presidency. With seventeen potential presidential nominees, the Republican primary field was the largest in US history. Similarly to the Democratic race however, the number of candidates thinned out by the time of the New Hampshire primary, with Donald Trump and Ted Cruz as the frontrunners. As the primaries progressed, Trump pulled ahead while the remainder of the candidates withdrew from the race, and he was named as the Republican candidate in May 2016. Much of Trump's success has been attributed to the free media attention he received due to his outspoken and controversial behavior, with a 2018 study claiming that Trump received approximately two billion dollars worth of free coverage during the primaries alone. Campaign The 2016 presidential election was preceded by, arguably, the most internationally covered and scandal-driven campaign in U.S. history. Clinton campaigned on the improvement and expansion of President Obama's more popular policies, while Trump's campaign was based on his personality and charisma, and took a different direction than the traditional conservative, Republican approach. In the months before the election, Trump came to represent a change in how the U.S. government worked, using catchy slogans such as "drain the swamp" to show how he would fix what many viewed to be a broken establishment; painting Clinton as the embodiment of this establishment, due to her experience as First Lady, Senator and Secretary of State. The candidates also had fraught relationships with the press, although the Trump campaign was seen to have benefitted more from this publicity than Clinton's. Controversies Trump's off the cuff and controversial remarks gained him many followers throughout the campaign, however, just one month before the election, a 2005 video emerged of Trump making derogatory comments about grabbing women "by the pussy". The media and public's reaction caused many high-profile Republicans to condemn the comments (for which he apologized), with many calling for his withdrawal from the race. This controversy was soon overshadowed when it emerged that the FBI was investigating Hillary Clinton for using a private email server while handling classified information, furthering Trump's narrative that the Washington establishment was corrupt. Two days before the election, the FBI concluded that Clinton had not done anything wrong; however the investigation had already damaged the public's perception of Clinton's trustworthiness, and deflected many undecided voters towards Trump. Results Against the majority of predictions, Donald Trump won the 2016 election, and became the 45th President of the United States. Clinton won almost three million more votes than her opponent, however Trump's strong performance in swing states gave him a 57 percent share of the electoral votes, while Clinton took just 42 percent. The unpopularity of both candidates also contributed to much voter abstention, and almost six percent of the popular vote went to third party candidates (despite their poor approval ratings). An unprecedented number of faithless electors also refused to give their electoral votes to the two main candidates, instead giving them to five non-candidates. In December, it emerged that the Russian government may have interfered in this election, and the 2019 Mueller Report concluded that Russian interference in the U.S. election contributed to Clinton's defeat and the victory of Donald Trump. In total, 26 Russian citizens and three Russian organizations were indicted, and the investigation led to the indictment and conviction of many top-level officials in the Trump campaign; however Trump and the Russian government both strenuously deny these claims, and Trump's attempts to frame the Ukrainian government for Russia's invol...

Academics and political pundits alike claim that the white working class exhibited unprecedented and crucial support for Donald Trump in the 2016 election. But what is the evidence for this claim? We examine all of the available academic survey data gathered around the 2016 election, as well as a number of surveys from prior elections. We test four common claims about the white working class in 2016: (1) that most Trump voters were white working-class Americans; (2) that most white working-class voters supported Trump; (3) that unusually large numbers of white working-class voters switched from Obama in 2012 to Trump in 2016; and (4) that white working-class voters were pivotal to Trump’s victory in several swing states. We find that three of the four are not supported by the available data, and the other lacks crucial context that casts doubt on the idea that Trump uniquely appealed to working-class Americans. White working-class Americans have been supporting Republican presidential candidates at higher rates in recent elections, but that process long predates the 2016 election, and narratives that center on Trump’s alleged appeal among working-class voters seriously obscure this important long-term trend.

2016 General Election: Trump vs. Clinton | RealClearPolling

United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data was reported at 46.000 % in 29 Oct 2024. This stayed constant from the previous number of 46.000 % for 22 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data is updated weekly, averaging 43.000 % from May 2023 (Median) to 29 Oct 2024, with 61 observations. The data reached an all-time high of 46.000 % in 29 Oct 2024 and a record low of 38.000 % in 31 Oct 2023. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued). If an election for president were going to be held now and the Democratic nominee was Joe Biden and the Republican nominee was Donald Trump, would you vote for...

This is the dataset I used to figure out which sociodemographic factor including the current pandemic status of each state has the most significan impace on the result of the US Presidential election last year. I also included sentiment scores of tweets created from 2020-10-15 to 2020-11-02 as well, in order to figure out the effect of positive/negative emotion for each candidate - Donald Trump and Joe Biden - on the result of the election.

Details for each variable are as below: - state: name of each state in the United States, including District of Columbia - elec16, elec20: dummy variable indicating whether Trump gained the electoral votes of each state or not. If the electors casted their votes for Trump, the value is 1; otherwise the value is 0 - elecchange: dummy variable indicating whether each party flipped the result in 2020 compared to that of the 2016 - demvote16: the rate of votes that the Democrats, i.e. Hillary Clinton earned in the 2016 Presidential election - repvote16: the rate of votes that the Republicans , i.e. Donald Trump earned in the 2016 Presidential election - demvote20: the rate of votes that the Democrats, i.e. Joe Biden earned in the 2020 Presidential election - repvote20: the rate of votes that the Republicans , i.e. Donald Trump earned in the 2020 Presidential election - demvotedif: the difference between demvote20 and demvote16 - repvotedif: the difference between repvote20 and repvote16 - pop: the population of each state - cumulcases: the cumulative COVID-19 cases on the Election day - caseMar ~ caseOct: the cumulative COVID-19 cases during each month - Marper10k ~ Octper10k: the cumulative COVID-19 cases during each month per 10 thousands - unemp20: the unemployment rate of each state this year before the election - unempdif: the difference between the unemployment rate of the last year and that of this year - jan20unemp ~ oct20unemp: the unemployment rate of each month - cumulper10k: the cumulative COVID-19 cases on the Election day per 10 thousands - b_str_poscount_total: the total number of positive tweets on Biden measured by the SentiStrength - b_str_negcount_total: the total number of negative tweets on Biden measured by the SentiStrength - t_str_poscount_total: the total number of positive tweets on Trump measured by the SentiStrength - t_str_poscount_total: the total number of negative tweets on Trump measured by the SentiStrength - b_str_posprop_total: the proportion of positive tweets on Biden measured by the SentiStrength - b_str_negprop_total: the proportion of negative tweets on Biden measured by the SentiStrength - t_str_posprop_total: the proportion of positive tweets on Trump measured by the SentiStrength - t_str_negprop_total: the proportion of negative tweets on Trump measured by the SentiStrength - white: the proportion of white people - colored: the proportion of colored people - secondary: the proportion of people who has attained the secondary education - tertiary: the proportion of people who has attained the tertiary education - q3gdp20: GDP of the 3rd quarter 2020 - q3gdprate: the growth rate of the 3rd quarter 2020, compared to that of the same quarter last year - 3qsgdp20: GDP of 3 quarters 2020 - 3qsrate20: the growth rate of GDP compared to that of the 3 quarters last year - q3gdpdif: the difference in the level of GDP of the 3rd quarter compared to the last quarter - q3rate: the growth rate of the 3rd quarter compared to the last quarter - access: the proportion of households having the Internet access

Here are a few use cases for this project:

1. Crowdsourced Politics: Political analysts and researchers could utilize the 'Donald Trump fan group' model to analyze patterns of transportation used by attendees in political rallies or events associated with Donald Trump. By correctly identifying and quantifying the variety of vehicles present, they could draw conclusions about the demographic and regional preferences of Trump supporters.

2. Public Safety and Policing: The model could be used by public safety departments or police to monitor and manage traffic at large scale Trump supporter gatherings or parades. They could estimate the number of various vehicles classes present and adjust their crowd/traffic control strategies accordingly, aiding in smoother control of traffic during these public events.

3. Event Management: Organizers of political events or rallies can use this model to better arrange parking and logistics. By estimating the volume and variety of vehicles expected, they can design efficient parking solutions and optimize space utilization.

4. Statistical Research: Researchers might use the model to correlate vehicle types with political affiliations, examining whether particular types of transportation are more common among Trump fans.

5. Insurance and Risk Management: Insurance companies could leverage this computer vision model to analyze the risk associated with hosting or insuring a large-scale political event like a rally. By estimating the number and types of vehicles involved, they can better predict potential insurance claims related to vehicle damage or accidents.

This dataset is about book subjects. It has 3 rows and is filtered where the books is President Donald Trump and his political discourse : ramifications of rhetoric via Twitter. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This statistic shows the latest polls for the swing state of Nevada in the 2016 United States presidential election. As of November 8, 2016, Donald Trump led the polls in Nevada with 46.2 percent of voter support.

2024 General Election: Trump vs. Biden vs. Kennedy vs. West vs. Stein | RealClearPolling

2024 Virginia General Election: Trump vs Biden | RealClearPolling

[READ THIS FIRST! DATASETS FOR Academic/Learning/Non-commercial purpose]

Context

US Election 2020 is very interesting to look into as it is an election in the middle of a pandemic. Me and my teammate created a twitter crawler using Twitter API and Tweepy for my Artificial Intelligence coursework. We chose Donald Trump as a subject of interest as President Trump was known for his twitter interaction.

I decided to deploy my crawler on post-voting day to conduct a sentiment analysis.

Tweet text in this datasets is suitable for Sentiment Analysis usage.

Content

This raw datasets is crawled using Tweepy library and Twitter API. 2500 tweets were gathered per 15 minutes. There are total of 247,500 row of entries and 13 columns, with the total of 3,217,500 cells of data. Data cleaning is needed to perform before doing any analysis.

Datasets date range: 4th November 2020 - 11th November 2020 Tweets with "Trump", "DonalTrump", "realDonalTrump" were capture.

(The User = user of the particular row) username: Twitter User handle accDesc: Description of the user on profile location: Location of the tweet following: Total number of account the user is following followers: Total number of followers of the user totaltweets: Total tweets created of the user usercreated: Date of the user registered his/her Twitter account tweetcreated: Date of the tweet created favouritecount: tweet <3 count (equivalent to like on Facebook) retweetcount: Total tweet's retweet (equivalent to share on Facebook) text: Text body of the tweet tweetsource: Device used to create this tweet hashtags: hashtag of the tweet in JSON format

Acknowledgements and Disclaimers

Banner and thumbnail courtesy of > visuals < from unsplash.com

Much thanks to my teammate Jiacheng Loh and ChenZhen Li for the efforts.

Please do not use this datasets for any malicious attempts, any damage done is not under the responsible of me.

This datasets were gathered for the purpose of learning and not for commercial purposes.

Data were public in the public domain, therefore i assume these data is open for all.

Limitations

Datasets are gathered with at least 15 minutes interval, therefore datecreated distribution is not equal and may not include all tweets created within the date range.

Election Facebook’s Ad Metrics 2024: Trump vs. Harris

A key event of 2024 is the U.S. presidential election. This project focuses on analyzing how Donald Trump and Kamala Harris use advertising to win votes, exploring their strategies, actions, and effectiveness.

Here is the Dataset i have used in the analytic:

File name: trump.zip and harris.zip (Original Data)

The files were downloaded from the Facebook Ad Library. The data focuses on two primary accounts: Trump and Harris, which had the highest number of advertisements and the largest ad spend. These accounts promoted two types of campaigns: presidential campaigns and victory funds. However, I will concentrate solely on the presidential campaigns. Date Range: Based on my research, presidential campaigns typically begin about a year before the election. Therefore, I collected data starting from February 25, 2023, the date Harris announced her candidacy to compete with Trump, up to the current date, December 7, 2024.

File name: Trump-Harris add-id.csv (Processed Data)

This is the main data of the "Election Facebook’s Ad Metrics 2024: Trump vs. Harris"

File name: AD-Tech-Analytic-Project-DashBoard.pbix

Power BI chart imported data from Trump-Harris add-id.csv (Processed Data) and some others

File name: 6state trump data.csv, datamichigan.csv, data nevada.csv

Data that filters from Trump-Harris add-id.csv (Processed Data) have been used in AD-Tech-Analytic-Project-DashBoard.pbix

This statistic shows the latest polls for the swing state of Iowa in the 2016 United States presidential election. As of November 8, 2016, Donald Trump is leading the polls in Iowa with an average of 44.3 percent of voter support.

This survey was conducted among voters in California’s 39th Congressional District.

2024 New York General Election: Trump vs Biden | RealClearPolling

This survey was conducted among Pennsylvania registered voters and addresses the 2020 election for president, state Attorney General, Auditor General, State Treasurer and US House of Representatives. This poll also includes personal ratings for Donald Trump and Joe Biden as well as which one voters trust more to handle the pandemic, create jobs, maintain law and order, and keep health care affordable and accessible.