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2019 LGBTQ Voting Experience Survey Method and Respondent Profile

In August 2019, HRC Foundation launched its 2019 LGBTQ Voting Experience Survey (Voting Survey) to better understand past and expected barriers to voting of LGBTQ voting-aged residents. The survey received responses from more than 6,000 LGBTQ voting-aged residents across the United States and territories. It is the largest and most detailed study on LGBTQ people's experiences with voter suppression while accessing the right to vote.

This resource explains the methodology used to acquire the sample population, discusses the weighting scheme and presents sample descriptive statistics.

SAMPLING DESIGN
The Voting Survey is a cross-sectional, nonprobability sample. The Voting Survey was fielded from August 24 - October 24, 2019 in English and October 8 - October 24, 2019 in Spanish. Sampling units were recruited through four main channels. 

  1. Promotion of the survey on HRC relevant social media channels
  2. Targeted social media recruitment advertisements
  3. Strategic outreach to HRC Foundation partner organizations
  4. A nationally representative panel of LGBTQ voting-aged residents


WEIGHTING METHODOLOGY AND ESTIMATION STRATEGY
Bias may be reduced in nonprobability samples by using inverse probability weights, which are the reciprocal of the probability of being selected for a survey (see Angrist and Pischke 2009.) Responses are weighted for race, education and income. Weights were constructed by taking the inverse of a pseudo-population estimate over the unweighted sample estimate proportions. Pseudo-population estimates come from the Williams Institute's LGBT Data and Demographics archives. Statistics that are reported in publications use the maximum sample size available and present weighted estimates.


RESOURCES FOR RESEARCHERS
We need more data collection on LGBTQ people — especially in the U.S. Census


RESPONDENT PROFILE
Sexual Orientation

 Bisexual+  57%
 Gay or Lesbian  40%
 Straight/Something Else  3%

 

 

 

Gender

 Transgender/Gender-Expansive  20%
 Transgender  14%
 Gender-Expansive (Not Trans)  10%

 

 

 

Race

  • American Indian/Alaskan Native (Native American)
 HRC Foundation  2%
 Williams Estimate  1%

 

 

  • Asian
 HRC Foundation  3%
 Williams Estimate  2%

 

 

  • Black/African American
 HRC Foundation  12%
 Williams Estimate  12%

 

 

  • Latinx (Latino/a or Hispanic
 HRC Foundation  19%
 Williams Estimate  21%

 

 

  • Native Hawaiian/Pacific Islander
 HRC Foundation  1%
 Williams Estimate  1%

 

 

  • Multiracial
 HRC Foundation  4%
 Williams Estimate  5%

 

 

  • White
 HRC Foundation  57%
 Williams Estimate  58%

 

 

Average Age

 HRC Foundation  37.2
 Williams Estimate  37.3

 

 

Unemployed

 HRC Foundation  9%
 Williams Estimate  9%

 

 

Income <$24,000

 HRC Foundation  25%
 Williams Estimate  24%

 

 

Education (% With Bachelor or Higher)

 HRC Foundation  31%
 Williams Estimate  30%