Downloads
The America’s Pulse Survey is collected each week using participants from the YouGov panel.
- click here to view the survey question details
- click here to view the changelog
If you use our data in your research, we humbly ask that you cite our lab 🙏:
Shanto Iyengar, Yphtach Lelkes and Sean Westwood. (2023). America’s Political Pulse. https://polarizationresearchlab.org/americas-political-pulse/.
*Data is distributed under the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License.
Notes
What is the file naming convention?
Each file is titled with the following convention: <year>_week<week_number>.csv
, where <week_number>
is the nth week of that year. We started conducting the America’s Pulse Survey in the 38th week of 2022.
How do I calculate “Affective Polarization”?
In our research (and on our public visualizations), we calculate “affective polarization” exactly as follows:
- Define Democrats as anyone where
pid7
is 1, 2, or 3 - Define Republicans as anyone where
pid7
is between 5, 6, or 7 - Remove everyone where
pid7
equals 4 - Remove any rows with missing values in the
republican_therm_1
anddemocrat_therm_1
columns (there shouldn’t be many) - For Democrats, calculate:
democrat_therm_1 - republican_therm_1
- For Republicans, calculate:
republican_therm_1 - democrat_therm_1
- Remove anyone with a negative score
The starttime
and endtime
Variables
The start and end time columns mark when a participant starts and finishes our survey. We often find that participants start our survey to claim a spot in the YouGov panel, but then opt to finish the bulk of the survey later. For this reason, we often use end times for any time-series analyses.
The engagement_measure
Variable
September 2022 - June 2023
For the engagement measure, we show participants a passage about a wildlife funding program for a particular state. The passage is then removed, and participants are asked what state (of 7 possible options) the passage referred to. We’ve recoded this data to label participants as “engaged” or “not engaged” based on whether they guessed the correct state.