On a daily basis, Morning Consult is surveying over 5,000 registered voters across the United States on President Trump. Each month, we’ll update this page with the latest survey data, providing a clear picture of Trump’s approval and re-election prospects.
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Use the slider to track how Trump’s net approval has shifted over time.
Select a state to view the trend data.
Below is a high-level look at Trump’s support among potential GOP primary voters.
of Trump. 13% don't.
A breakdown of which demographic groups are more or less likely to support a primary challenge for Trump. Each of the below groups are sub-demographics among potential GOP primary voters:
This page was last updated on April 5, 2019.
About Morning Consult Political Intelligence
On a daily basis, Morning Consult surveys over 5,000 registered voters across the United States. Along with 2020 presidential election data, Political Intelligence tracks the approval ratings for all governors, senators, House members, the President, and more at the national, state and congressional district level. Each week, we will release a report with the most important findings on the 2020 election. Sign-up to receive that report in your inbox here.
About the state-level data:
Morning Consult conducted more than 2 million surveys with registered U.S. voters from Jan. 20, 2017 to Mar 31, 2019 to determine the approval ratings for President Donald Trump in each of the 50 states and Washington, D.C., for each month. These results use a statistical technique called multilevel regression with post-stratification (MRP) to estimate state-level public opinion from the national survey data for a specific month.
In each poll, Americans indicated whether they approve or disapprove of the job performance of Trump. For each question, they could answer strongly approve, somewhat approve, somewhat disapprove, strongly disapprove, or don’t know/no opinion. The surveys also included about 30 demographic questions.
Responses to the Trump approval question are modeled via multilevel regression as a function of both individual level and state-level variables. Our models use age, gender, education and race as individual-level predictor variables. For our state-level variables, we chose variables that may influence state-level vote choice such as the percent change in state gross domestic product (GDP), state unemployment rates, state median household income and state-level outcomes from the 2016 presidential election.
Morning Consult obtained population parameters for registered voters from the November 2012 Current Population Survey. We applied post-stratification weights at the state level based on gender, age, educational attainment and race using the American Community Survey (ACS).
Standard errors for our estimates for each state were calculated by taking 100 bootstrap samples with replacement from our full national dataset for each hypothetical matchup and then assessing this empirical distribution at the state level. The distribution of these predictions at the state level allows us to construct a predictive interval, which gives us a sense of the spread of MRP estimates. The 95 percent predictive intervals range from 1 percentage point in larger states such as California, Florida, New York, Pennsylvania and Texas, to 4 percentage points in the smaller population size of Alaska.
The margin of error in each state for the last month is available here.
About the re-election support data:
The “Gauging the Prospects of a Primary Challenge” and “Trump’s Re-election Support With Key Groups” sections have a different methodology than the above sections. These sections are reported based on 56,144 interviews with registered voters who indicate they may vote in the Republican primary or caucus in their state. The interviews were collected from March 1, 2019 through March 31, 2019 and have a margin of error of +/- 1%. Each demographic group listed in the “Trump’s Re-election Support With Key Groups” is based on at least 3,500 interviews over that same time frame. The margin of error for each group is either +/- 1% or +/- 2%.