2024 APHA Omnibus Survey

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Verasight conducted a free nationally-representative survey of 2,000 adults to answer questions written by 2024 American Public Health Association Annual Meeting attendees. Respondents were randomly assigned to one of two modules, so each respondent answered approximately 29 questions. If you are planning on conducting a survey, contact us.

November 19 - November 22, 2024

Key Takeaways





1 Snoring Habits

Do you snore, or have you been told that you snore? (N = 1,000)
Response Percent
Yes 68%
No 28%
Not sure 4%

1.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 57% 67% 79% 67%
No 39% 28% 18% 27%
Not sure 3% 5% 3% 6%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 67% 69% 68% 63%
No 28% 26% 28% 33%
Not sure 5% 5% 4% 4%

Gender

Response Male Female
Yes 73% 63%
No 24% 31%
Not sure 3% 6%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 71% 70% 63%
No 25% 24% 33%
Not sure 3% 5% 5%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 68% 63% 70%
No 28% 29% 26%
Not sure 4% 8% 3%

Race/Ethnicity

Response White Black Hispanic Other
Yes 68% 71% 68% 64%
No 28% 25% 28% 26%
Not sure 4% 5% 4% 10%

2 Recent Eye Care

Have you had an eye examination in the last two years? (N = 1,000)
Response Percent
Yes 72%
No 28%

2.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 65% 67% 76% 82%
No 35% 33% 24% 18%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 62% 76% 80% 77%
No 38% 24% 20% 23%

Gender

Response Male Female
Yes 73% 72%
No 27% 28%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 64% 72% 81%
No 36% 28% 19%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 74% 65% 74%
No 26% 35% 26%

Race/Ethnicity

Response White Black Hispanic Other
Yes 73% 64% 77% 71%
No 27% 36% 23% 29%

3 Blood Pressure Monitoring

Have you checked your blood pressure in the last year? (N = 1,000)
Response Percent
Yes 87%
No 13%

3.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 71% 84% 93% 96%
No 29% 16% 7% 4%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 82% 87% 89% 94%
No 18% 13% 11% 6%

Gender

Response Male Female
Yes 86% 87%
No 14% 13%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 80% 87% 94%
No 20% 13% 6%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 89% 77% 89%
No 11% 23% 11%

Race/Ethnicity

Response White Black Hispanic Other
Yes 90% 78% 88% 77%
No 10% 22% 12% 23%

4 Cultural Influence on Cancer Screenings

Have cultural factors influenced your decisions about cancer screenings? (N = 1,000)
Response Percent
Yes 14%
No 76%
Unsure 10%

4.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 16% 17% 10% 12%
No 71% 73% 80% 78%
Unsure 13% 10% 9% 10%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 8% 16% 20% 11%
No 77% 75% 70% 83%
Unsure 15% 9% 10% 6%

Gender

Response Male Female
Yes 16% 12%
No 74% 77%
Unsure 10% 11%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 12% 15% 15%
No 77% 74% 75%
Unsure 11% 12% 9%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 17% 12% 12%
No 74% 72% 80%
Unsure 10% 17% 8%

Race/Ethnicity

Response White Black Hispanic Other
Yes 11% 23% 18% 14%
No 79% 63% 72% 74%
Unsure 10% 14% 10% 12%

5 Pneumococcal Vaccine Consideration

Pneumococcal disease is a contagious illness that can cause pneumonia, meningitis and sepsis. How likely are you to consider receiving a Streptococcus Pneumoniae (Pneumococcal disease) vaccine if you are eligible? (N = 1,000)
Response Percent
Very likely 34%
Somewhat likely 20%
Neutral 23%
Somewhat unlikely 9%
Very unlikely 15%

5.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Very likely 26% 24% 34% 54%
Somewhat likely 22% 21% 19% 17%
Neutral 33% 26% 21% 12%
Somewhat unlikely 7% 12% 9% 5%
Very unlikely 12% 17% 16% 12%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Very likely 31% 34% 35% 39%
Somewhat likely 19% 19% 21% 24%
Neutral 30% 22% 14% 15%
Somewhat unlikely 8% 9% 14% 9%
Very unlikely 13% 16% 17% 13%

Gender

Response Male Female
Very likely 35% 32%
Somewhat likely 20% 19%
Neutral 21% 25%
Somewhat unlikely 12% 7%
Very unlikely 12% 17%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Very likely 28% 34% 40%
Somewhat likely 18% 16% 24%
Neutral 31% 20% 16%
Somewhat unlikely 7% 11% 10%
Very unlikely 16% 19% 10%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Very likely 42% 28% 28%
Somewhat likely 24% 18% 17%
Neutral 19% 33% 21%
Somewhat unlikely 7% 5% 13%
Very unlikely 7% 16% 22%

Race/Ethnicity

Response White Black Hispanic Other
Very likely 34% 37% 27% 38%
Somewhat likely 21% 20% 19% 16%
Neutral 21% 23% 27% 25%
Somewhat unlikely 9% 6% 10% 10%
Very unlikely 15% 14% 17% 11%

6 Marijuana Use

Have you used marijuana in the past year? (N = 1,000)
Response Percent
Yes 30%
No 69%
I don’t know 1%

6.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 36% 37% 25% 18%
No 64% 61% 74% 82%
I don’t know 0% 1% 1% 0%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 33% 31% 22% 25%
No 66% 68% 77% 75%
I don’t know 0% 1% 1% 0%

Gender

Response Male Female
Yes 29% 30%
No 70% 69%
I don’t know 0% 1%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 33% 35% 23%
No 67% 65% 76%
I don’t know 1% 0% 1%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 32% 36% 24%
No 67% 62% 76%
I don’t know 1% 2% 0%

Race/Ethnicity

Response White Black Hispanic Other
Yes 26% 36% 39% 28%
No 73% 63% 60% 71%
I don’t know 0% 1% 1% 2%

7 Cannabis Use

Have you used cannabis in the past year? (N = 1,000)
Response Percent
Yes 31%
No 68%
I don’t know 1%

7.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 39% 36% 27% 22%
No 58% 63% 72% 78%
I don’t know 4% 1% 1% 0%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 34% 32% 25% 29%
No 65% 67% 73% 70%
I don’t know 1% 1% 2% 1%

Gender

Response Male Female
Yes 29% 33%
No 70% 65%
I don’t know 1% 2%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 33% 36% 26%
No 65% 62% 73%
I don’t know 1% 2% 1%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 34% 37% 25%
No 65% 62% 73%
I don’t know 1% 2% 1%

Race/Ethnicity

Response White Black Hispanic Other
Yes 28% 33% 40% 30%
No 71% 64% 59% 68%
I don’t know 1% 3% 1% 2%

8 Hemp-based THC Use

Have you used any hemp-based THC product in the last year? (N = 1,000)
Response Percent
Yes 26%
No 70%
I don’t know 4%

8.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 30% 30% 22% 19%
No 64% 65% 74% 78%
I don’t know 5% 5% 4% 3%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 24% 30% 21% 19%
No 73% 65% 74% 76%
I don’t know 3% 5% 5% 5%

Gender

Response Male Female
Yes 24% 27%
No 71% 69%
I don’t know 5% 4%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 28% 26% 24%
No 67% 67% 74%
I don’t know 5% 7% 2%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 28% 29% 21%
No 69% 65% 74%
I don’t know 3% 6% 5%

Race/Ethnicity

Response White Black Hispanic Other
Yes 24% 28% 32% 22%
No 72% 69% 61% 76%
I don’t know 4% 3% 8% 2%

9 Frequency of Substance Use

Within the last year, on average, how many substances (alcohol, tobacco, marijuana, nicotine in vaping) do you use per week? (N = 1,000)
Response Percent
0 per week 44%
1- 1 of the 4 substances listed above per week 35%
2- any combination of 2 substances (of the 4 listed above) per week 13%
3- any combination of 3 substances (of the 4 listed above) per week 4%
4- all 4 substances per week 3%

9.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
0 per week 46% 40% 45% 49%
1- 1 of the 4 substances listed above per week 25% 34% 38% 42%
2- any combination of 2 substances (of the 4 listed above) per week 19% 15% 11% 8%
3- any combination of 3 substances (of the 4 listed above) per week 6% 7% 2% 2%
4- all 4 substances per week 4% 3% 5% 0%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
0 per week 47% 43% 45% 44%
1- 1 of the 4 substances listed above per week 33% 35% 35% 37%
2- any combination of 2 substances (of the 4 listed above) per week 12% 14% 15% 12%
3- any combination of 3 substances (of the 4 listed above) per week 5% 4% 4% 5%
4- all 4 substances per week 4% 3% 2% 2%

Gender

Response Male Female
0 per week 39% 49%
1- 1 of the 4 substances listed above per week 39% 32%
2- any combination of 2 substances (of the 4 listed above) per week 14% 13%
3- any combination of 3 substances (of the 4 listed above) per week 5% 3%
4- all 4 substances per week 3% 3%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
0 per week 44% 43% 45%
1- 1 of the 4 substances listed above per week 30% 37% 38%
2- any combination of 2 substances (of the 4 listed above) per week 15% 13% 12%
3- any combination of 3 substances (of the 4 listed above) per week 5% 5% 3%
4- all 4 substances per week 5% 3% 1%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
0 per week 43% 46% 45%
1- 1 of the 4 substances listed above per week 35% 37% 34%
2- any combination of 2 substances (of the 4 listed above) per week 15% 10% 14%
3- any combination of 3 substances (of the 4 listed above) per week 5% 3% 4%
4- all 4 substances per week 3% 4% 3%

Race/Ethnicity

Response White Black Hispanic Other
0 per week 45% 37% 43% 52%
1- 1 of the 4 substances listed above per week 36% 34% 37% 29%
2- any combination of 2 substances (of the 4 listed above) per week 13% 21% 7% 15%
3- any combination of 3 substances (of the 4 listed above) per week 4% 5% 5% 3%
4- all 4 substances per week 2% 3% 8% 0%

10 Impact of Opioid Prescriptions

Do you believe opioid prescriptions led you or someone known to you to substance use? (N = 1,000)
Response Percent
Yes 26%
No 65%
Not Sure 9%

10.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 18% 32% 24% 24%
No 72% 60% 66% 66%
Not Sure 10% 8% 10% 10%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 22% 29% 26% 22%
No 66% 63% 66% 73%
Not Sure 13% 8% 8% 5%

Gender

Response Male Female
Yes 25% 26%
No 65% 65%
Not Sure 10% 9%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 25% 29% 23%
No 65% 63% 66%
Not Sure 10% 7% 10%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 22% 23% 30%
No 70% 64% 61%
Not Sure 8% 13% 9%

Race/Ethnicity

Response White Black Hispanic Other
Yes 27% 20% 27% 22%
No 64% 73% 63% 65%
Not Sure 9% 7% 9% 14%

11 History of Weight Loss Surgery

Have you ever had bariatric (weight loss) surgery? (N = 1,000)
Response Percent
No 95%
Yes, Adjustable Gastric Band (LAP-Band surgery) 1%
Yes, Biliopancreatic Diversion with Duodenal Switch 0%
Yes, Gastric Bypass 2%
Yes, Gastric Sleeve 2%
Other 0%

11.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
No 96% 93% 94% 97%
Yes, Adjustable Gastric Band (LAP-Band surgery) 1% 1% 0% 0%
Yes, Biliopancreatic Diversion with Duodenal Switch 1% 0% 0% 0%
Yes, Gastric Bypass 1% 3% 3% 3%
Yes, Gastric Sleeve 1% 2% 3% 1%
Other 0% 0% 0% 0%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
No 94% 95% 92% 97%
Yes, Adjustable Gastric Band (LAP-Band surgery) 1% 1% 0% 1%
Yes, Biliopancreatic Diversion with Duodenal Switch 0% 0% 1% 1%
Yes, Gastric Bypass 3% 2% 5% 0%
Yes, Gastric Sleeve 2% 2% 2% 1%
Other 0% 0% 0% 0%

Gender

Response Male Female
No 95% 95%
Yes, Adjustable Gastric Band (LAP-Band surgery) 1% 1%
Yes, Biliopancreatic Diversion with Duodenal Switch 1% 0%
Yes, Gastric Bypass 3% 2%
Yes, Gastric Sleeve 2% 2%
Other 0% 0%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
No 94% 95% 95%
Yes, Adjustable Gastric Band (LAP-Band surgery) 1% 0% 0%
Yes, Biliopancreatic Diversion with Duodenal Switch 0% 0% 1%
Yes, Gastric Bypass 3% 2% 2%
Yes, Gastric Sleeve 2% 2% 2%
Other 0% 0% 0%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
No 96% 97% 92%
Yes, Adjustable Gastric Band (LAP-Band surgery) 0% 0% 1%
Yes, Biliopancreatic Diversion with Duodenal Switch 0% 0% 0%
Yes, Gastric Bypass 1% 1% 5%
Yes, Gastric Sleeve 2% 2% 2%
Other 0% 0% 0%

Race/Ethnicity

Response White Black Hispanic Other
No 95% 92% 94% 96%
Yes, Adjustable Gastric Band (LAP-Band surgery) 1% 1% 1% 0%
Yes, Biliopancreatic Diversion with Duodenal Switch 0% 0% 0% 0%
Yes, Gastric Bypass 3% 3% 2% 1%
Yes, Gastric Sleeve 1% 4% 3% 3%
Other 0% 0% 0% 0%

12 Rocking Chair for Post-Surgery Recovery

How likely are you to use a rocking chair to help with recovery after hip or knee surgery? (N = 1,000)
Response Percent
Never 14%
Unlikely 13%
Neutral 43%
Somewhat likely 20%
Definitely 11%

12.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Never 19% 13% 11% 14%
Unlikely 9% 14% 13% 16%
Neutral 49% 42% 38% 42%
Somewhat likely 16% 19% 24% 19%
Definitely 6% 12% 14% 10%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Never 18% 13% 8% 12%
Unlikely 13% 12% 18% 9%
Neutral 39% 42% 48% 48%
Somewhat likely 19% 21% 16% 19%
Definitely 11% 11% 9% 12%

Gender

Response Male Female
Never 15% 13%
Unlikely 15% 12%
Neutral 41% 44%
Somewhat likely 19% 20%
Definitely 10% 11%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Never 16% 11% 14%
Unlikely 12% 13% 15%
Neutral 43% 44% 41%
Somewhat likely 18% 23% 19%
Definitely 12% 10% 10%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Never 13% 21% 11%
Unlikely 15% 8% 14%
Neutral 40% 49% 42%
Somewhat likely 20% 15% 22%
Definitely 12% 7% 12%

Race/Ethnicity

Response White Black Hispanic Other
Never 10% 24% 17% 20%
Unlikely 14% 17% 8% 10%
Neutral 45% 30% 41% 44%
Somewhat likely 20% 13% 23% 17%
Definitely 10% 17% 11% 8%

13 Health Education During Orthodontic Treatment

When you received orthodontic care (braces) between ages 9-26, did your orthodontist or their assistant provide any general health education beyond information about braces or brushing, such as information on getting vaccinations or healthy eating? (N = 1,000)
Response Percent
No, the orthodontist or orthodontist assistant did NOT provide general health education for young people. 21%
Yes, the orthodontist or orthodontist assistant provided general health information that was NOT about brushing or braces, but I don’t remember what it was about. 7%
Yes, the orthodontist or orthodontist assistant provided health education on eating healthy. 6%
Yes, the orthodontist or orthodontist assistant provided health information on vaccinations for young people. 3%
Not applicable; I did not have braces when I was between 9-26 years old. 62%

13.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
No, the orthodontist or orthodontist assistant did NOT provide general health education for young people. 21% 23% 27% 12%
Yes, the orthodontist or orthodontist assistant provided general health information that was NOT about brushing or braces, but I don’t remember what it was about. 8% 9% 7% 4%
Yes, the orthodontist or orthodontist assistant provided health education on eating healthy. 10% 9% 4% 1%
Yes, the orthodontist or orthodontist assistant provided health information on vaccinations for young people. 4% 6% 2% 0%
Not applicable; I did not have braces when I was between 9-26 years old. 58% 53% 59% 82%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
No, the orthodontist or orthodontist assistant did NOT provide general health education for young people. 15% 21% 23% 31%
Yes, the orthodontist or orthodontist assistant provided general health information that was NOT about brushing or braces, but I don’t remember what it was about. 5% 8% 11% 3%
Yes, the orthodontist or orthodontist assistant provided health education on eating healthy. 3% 7% 9% 10%
Yes, the orthodontist or orthodontist assistant provided health information on vaccinations for young people. 2% 3% 6% 4%
Not applicable; I did not have braces when I was between 9-26 years old. 74% 61% 50% 52%

Gender

Response Male Female
No, the orthodontist or orthodontist assistant did NOT provide general health education for young people. 20% 22%
Yes, the orthodontist or orthodontist assistant provided general health information that was NOT about brushing or braces, but I don’t remember what it was about. 10% 4%
Yes, the orthodontist or orthodontist assistant provided health education on eating healthy. 6% 6%
Yes, the orthodontist or orthodontist assistant provided health information on vaccinations for young people. 5% 2%
Not applicable; I did not have braces when I was between 9-26 years old. 59% 66%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
No, the orthodontist or orthodontist assistant did NOT provide general health education for young people. 18% 18% 26%
Yes, the orthodontist or orthodontist assistant provided general health information that was NOT about brushing or braces, but I don’t remember what it was about. 6% 8% 8%
Yes, the orthodontist or orthodontist assistant provided health education on eating healthy. 4% 5% 9%
Yes, the orthodontist or orthodontist assistant provided health information on vaccinations for young people. 4% 3% 4%
Not applicable; I did not have braces when I was between 9-26 years old. 68% 67% 53%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
No, the orthodontist or orthodontist assistant did NOT provide general health education for young people. 20% 19% 22%
Yes, the orthodontist or orthodontist assistant provided general health information that was NOT about brushing or braces, but I don’t remember what it was about. 6% 6% 9%
Yes, the orthodontist or orthodontist assistant provided health education on eating healthy. 8% 5% 5%
Yes, the orthodontist or orthodontist assistant provided health information on vaccinations for young people. 4% 1% 4%
Not applicable; I did not have braces when I was between 9-26 years old. 62% 69% 59%

Race/Ethnicity

Response White Black Hispanic Other
No, the orthodontist or orthodontist assistant did NOT provide general health education for young people. 23% 9% 21% 20%
Yes, the orthodontist or orthodontist assistant provided general health information that was NOT about brushing or braces, but I don’t remember what it was about. 5% 13% 8% 9%
Yes, the orthodontist or orthodontist assistant provided health education on eating healthy. 5% 6% 9% 8%
Yes, the orthodontist or orthodontist assistant provided health information on vaccinations for young people. 2% 6% 6% 4%
Not applicable; I did not have braces when I was between 9-26 years old. 64% 66% 57% 60%

14 Care for Aging Issues

In the last 12 months, have you or someone you love/care for needed help with aging issues such as falls, safer living situations, skilled nursing care, etc.? (N = 1,000)
Response Percent
Yes 30%
Not yet but I anticipate needing it in the next 12 months 10%
No 60%

14.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 25% 33% 32% 28%
Not yet but I anticipate needing it in the next 12 months 13% 9% 12% 7%
No 62% 58% 56% 65%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 24% 31% 33% 37%
Not yet but I anticipate needing it in the next 12 months 8% 10% 12% 11%
No 68% 59% 54% 52%

Gender

Response Male Female
Yes 31% 29%
Not yet but I anticipate needing it in the next 12 months 11% 9%
No 58% 62%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 23% 34% 34%
Not yet but I anticipate needing it in the next 12 months 12% 9% 8%
No 64% 57% 58%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 33% 25% 30%
Not yet but I anticipate needing it in the next 12 months 7% 12% 12%
No 60% 63% 58%

Race/Ethnicity

Response White Black Hispanic Other
Yes 33% 30% 26% 21%
Not yet but I anticipate needing it in the next 12 months 9% 11% 12% 11%
No 59% 59% 62% 68%

15 Out-of-pocket Healthcare Costs

In the last year, how much out of pocket money have you spent on health care, including services that were not covered by insurance? (N = 1,000)
Response Percent
Less than $100 33%
At least $100 but less than $500 23%
At least $500 but less than $1,000 16%
At least $1,000 but less than $2,500 15%
At least $2,500 but less than $5,000 8%
At least $5,000 but less than $9,000 4%
$9,000 or more 1%

15.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Less than $100 40% 33% 27% 33%
At least $100 but less than $500 26% 20% 20% 29%
At least $500 but less than $1,000 17% 16% 17% 15%
At least $1,000 but less than $2,500 14% 16% 17% 12%
At least $2,500 but less than $5,000 3% 9% 11% 7%
At least $5,000 but less than $9,000 1% 3% 8% 2%
$9,000 or more 0% 2% 0% 2%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Less than $100 62% 24% 11% 22%
At least $100 but less than $500 20% 28% 18% 18%
At least $500 but less than $1,000 11% 19% 20% 14%
At least $1,000 but less than $2,500 4% 17% 28% 20%
At least $2,500 but less than $5,000 2% 8% 14% 12%
At least $5,000 but less than $9,000 1% 3% 7% 9%
$9,000 or more 0% 1% 4% 4%

Gender

Response Male Female
Less than $100 29% 37%
At least $100 but less than $500 24% 22%
At least $500 but less than $1,000 16% 16%
At least $1,000 but less than $2,500 17% 13%
At least $2,500 but less than $5,000 7% 8%
At least $5,000 but less than $9,000 5% 3%
$9,000 or more 1% 1%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Less than $100 50% 28% 19%
At least $100 but less than $500 19% 30% 22%
At least $500 but less than $1,000 13% 18% 18%
At least $1,000 but less than $2,500 10% 14% 20%
At least $2,500 but less than $5,000 4% 6% 13%
At least $5,000 but less than $9,000 2% 2% 5%
$9,000 or more 1% 1% 2%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Less than $100 29% 52% 27%
At least $100 but less than $500 27% 18% 22%
At least $500 but less than $1,000 15% 14% 18%
At least $1,000 but less than $2,500 15% 12% 17%
At least $2,500 but less than $5,000 8% 3% 10%
At least $5,000 but less than $9,000 6% 0% 3%
$9,000 or more 1% 0% 2%

Race/Ethnicity

Response White Black Hispanic Other
Less than $100 27% 50% 38% 39%
At least $100 but less than $500 25% 17% 22% 22%
At least $500 but less than $1,000 17% 13% 16% 15%
At least $1,000 but less than $2,500 15% 16% 14% 13%
At least $2,500 but less than $5,000 9% 1% 6% 8%
At least $5,000 but less than $9,000 4% 2% 4% 1%
$9,000 or more 2% 0% 0% 1%

16 Impact of Trauma on Use of Health Services

To what extent do you believe that any past trauma impacts your use of health and social services, e.g. doctor’s visits, wellness checks, public programs? (N = 1,000)
Response Percent
Significantly 20%
Somewhat 39%
Not at all 31%
Unsure 10%

16.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Significantly 18% 28% 19% 12%
Somewhat 40% 43% 37% 33%
Not at all 29% 21% 34% 45%
Unsure 13% 8% 10% 10%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Significantly 17% 25% 15% 17%
Somewhat 36% 39% 46% 33%
Not at all 31% 28% 33% 43%
Unsure 16% 8% 6% 7%

Gender

Response Male Female
Significantly 17% 23%
Somewhat 36% 41%
Not at all 37% 27%
Unsure 10% 10%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Significantly 22% 23% 17%
Somewhat 37% 36% 42%
Not at all 29% 33% 33%
Unsure 13% 8% 8%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Significantly 19% 23% 20%
Somewhat 41% 29% 41%
Not at all 31% 31% 32%
Unsure 9% 17% 6%

Race/Ethnicity

Response White Black Hispanic Other
Significantly 18% 24% 24% 25%
Somewhat 41% 36% 37% 30%
Not at all 32% 31% 29% 35%
Unsure 10% 9% 10% 10%

17 Experience Accessing Mental Health Services

How would you characterize your experience accessing mental health services? (1=really bad, 5=very good) (N = 1,000)
Response Percent
1 7%
2 9%
3 37%
4 23%
5 24%

17.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
1 10% 4% 9% 6%
2 15% 9% 9% 5%
3 35% 40% 34% 38%
4 23% 26% 22% 20%
5 18% 22% 25% 31%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
1 8% 7% 8% 3%
2 11% 9% 8% 6%
3 35% 37% 45% 29%
4 18% 25% 19% 34%
5 28% 22% 20% 28%

Gender

Response Male Female
1 5% 9%
2 8% 10%
3 38% 37%
4 22% 23%
5 27% 21%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
1 9% 9% 4%
2 9% 9% 10%
3 35% 36% 39%
4 20% 26% 24%
5 27% 21% 24%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
1 6% 10% 6%
2 9% 13% 7%
3 34% 33% 42%
4 26% 19% 22%
5 25% 24% 23%

Race/Ethnicity

Response White Black Hispanic Other
1 7% 5% 7% 8%
2 10% 11% 8% 4%
3 37% 26% 42% 44%
4 23% 30% 18% 22%
5 23% 29% 25% 22%

18 Satisfaction with Primary Care Provider

How much do you agree or disagree with the following statement? I am satisfied with the care I receive from my primary care/family doctor. (N = 1,000)
Response Percent
Strongly agree 37%
Agree 33%
Neither agree or disagree 14%
Disagree 4%
Strongly disagree 3%
I don’t have a primary care/family doctor 9%

18.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Strongly agree 28% 30% 42% 50%
Agree 25% 37% 34% 32%
Neither agree or disagree 21% 15% 13% 10%
Disagree 5% 4% 5% 4%
Strongly disagree 3% 4% 2% 1%
I don’t have a primary care/family doctor 17% 10% 4% 4%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Strongly agree 39% 37% 32% 41%
Agree 25% 34% 42% 39%
Neither agree or disagree 20% 13% 11% 9%
Disagree 4% 4% 6% 3%
Strongly disagree 1% 4% 1% 1%
I don’t have a primary care/family doctor 10% 8% 9% 7%

Gender

Response Male Female
Strongly agree 38% 37%
Agree 36% 29%
Neither agree or disagree 12% 17%
Disagree 3% 5%
Strongly disagree 3% 2%
I don’t have a primary care/family doctor 8% 10%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Strongly agree 40% 34% 37%
Agree 24% 36% 39%
Neither agree or disagree 20% 12% 11%
Disagree 3% 4% 5%
Strongly disagree 3% 3% 2%
I don’t have a primary care/family doctor 10% 11% 5%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Strongly agree 39% 29% 40%
Agree 36% 27% 33%
Neither agree or disagree 11% 20% 16%
Disagree 5% 5% 3%
Strongly disagree 2% 4% 3%
I don’t have a primary care/family doctor 8% 16% 6%

Race/Ethnicity

Response White Black Hispanic Other
Strongly agree 39% 41% 29% 34%
Agree 34% 30% 31% 29%
Neither agree or disagree 13% 16% 17% 16%
Disagree 4% 4% 6% 5%
Strongly disagree 3% 3% 2% 3%
I don’t have a primary care/family doctor 7% 6% 15% 14%

19 Likelihood of Recommending Primary Care Doctor

How much do you agree or disagree with the following statement? I would recommend my primary care/family doctor to a friend or family member. (N = 1,000)
Response Percent
Strongly agree 37%
Agree 30%
Neither agree or disagree 17%
Disagree 4%
Strongly disagree 2%
I don’t have a primary care/family doctor 9%

19.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Strongly agree 26% 32% 44% 47%
Agree 28% 33% 27% 29%
Neither agree or disagree 24% 17% 16% 14%
Disagree 2% 4% 6% 5%
Strongly disagree 3% 3% 2% 2%
I don’t have a primary care/family doctor 17% 11% 5% 4%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Strongly agree 37% 38% 35% 39%
Agree 24% 29% 38% 36%
Neither agree or disagree 22% 17% 12% 11%
Disagree 5% 3% 5% 7%
Strongly disagree 2% 4% 2% 1%
I don’t have a primary care/family doctor 10% 9% 8% 7%

Gender

Response Male Female
Strongly agree 39% 36%
Agree 33% 27%
Neither agree or disagree 14% 20%
Disagree 3% 5%
Strongly disagree 3% 2%
I don’t have a primary care/family doctor 8% 10%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Strongly agree 38% 35% 38%
Agree 23% 32% 35%
Neither agree or disagree 23% 15% 13%
Disagree 4% 4% 5%
Strongly disagree 2% 3% 3%
I don’t have a primary care/family doctor 10% 12% 6%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Strongly agree 39% 28% 40%
Agree 30% 26% 31%
Neither agree or disagree 15% 24% 16%
Disagree 4% 4% 4%
Strongly disagree 3% 2% 2%
I don’t have a primary care/family doctor 8% 16% 7%

Race/Ethnicity

Response White Black Hispanic Other
Strongly agree 39% 37% 34% 32%
Agree 30% 32% 27% 28%
Neither agree or disagree 16% 22% 16% 20%
Disagree 5% 2% 4% 4%
Strongly disagree 2% 1% 3% 4%
I don’t have a primary care/family doctor 7% 5% 16% 13%

20 Interest in New Primary Care Provider

How much do you agree or disagree with the following statement? I wish I could have a different primary care/family doctor. (N = 1,000)
Response Percent
Strongly agree 6%
Agree 13%
Neither agree or disagree 21%
Disagree 22%
Strongly disagree 29%
I don’t have a primary care/family doctor 9%

20.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Strongly agree 9% 6% 7% 4%
Agree 11% 16% 11% 11%
Neither agree or disagree 31% 23% 18% 13%
Disagree 15% 23% 25% 23%
Strongly disagree 16% 21% 34% 45%
I don’t have a primary care/family doctor 18% 11% 5% 4%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Strongly agree 6% 7% 4% 9%
Agree 12% 13% 15% 10%
Neither agree or disagree 22% 20% 24% 22%
Disagree 18% 22% 27% 27%
Strongly disagree 31% 30% 22% 24%
I don’t have a primary care/family doctor 10% 9% 7% 9%

Gender

Response Male Female
Strongly agree 7% 6%
Agree 11% 13%
Neither agree or disagree 21% 21%
Disagree 23% 21%
Strongly disagree 28% 29%
I don’t have a primary care/family doctor 8% 10%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Strongly agree 8% 4% 6%
Agree 11% 11% 16%
Neither agree or disagree 24% 19% 21%
Disagree 16% 27% 25%
Strongly disagree 30% 27% 27%
I don’t have a primary care/family doctor 11% 12% 5%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Strongly agree 7% 6% 6%
Agree 13% 11% 13%
Neither agree or disagree 18% 27% 21%
Disagree 26% 16% 21%
Strongly disagree 28% 22% 32%
I don’t have a primary care/family doctor 7% 18% 7%

Race/Ethnicity

Response White Black Hispanic Other
Strongly agree 6% 15% 3% 5%
Agree 13% 14% 12% 8%
Neither agree or disagree 20% 23% 19% 29%
Disagree 23% 23% 20% 19%
Strongly disagree 31% 20% 28% 26%
I don’t have a primary care/family doctor 7% 5% 17% 14%

21 Discussion of HPV Vaccine

Has your health care provider spoken to you about or recommended the HPV vaccine for you or your child? (N = 1,000)
Response Percent
Yes, only to me 14%
Yes, only to my child 5%
Yes, to both me and my child 11%
No 61%
I don’t remember 8%

21.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes, only to me 27% 16% 7% 9%
Yes, only to my child 2% 6% 7% 3%
Yes, to both me and my child 13% 17% 10% 3%
No 47% 54% 68% 77%
I don’t remember 11% 7% 7% 8%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes, only to me 16% 14% 11% 15%
Yes, only to my child 2% 5% 7% 12%
Yes, to both me and my child 7% 10% 21% 17%
No 66% 64% 52% 51%
I don’t remember 10% 7% 9% 4%

Gender

Response Male Female
Yes, only to me 12% 16%
Yes, only to my child 4% 6%
Yes, to both me and my child 10% 13%
No 66% 57%
I don’t remember 8% 8%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes, only to me 12% 15% 16%
Yes, only to my child 3% 3% 8%
Yes, to both me and my child 12% 7% 14%
No 62% 69% 55%
I don’t remember 11% 7% 7%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes, only to me 16% 16% 11%
Yes, only to my child 5% 4% 6%
Yes, to both me and my child 12% 9% 12%
No 60% 59% 64%
I don’t remember 7% 12% 7%

Race/Ethnicity

Response White Black Hispanic Other
Yes, only to me 12% 18% 20% 16%
Yes, only to my child 4% 7% 6% 4%
Yes, to both me and my child 11% 11% 12% 11%
No 65% 57% 54% 58%
I don’t remember 8% 8% 8% 11%

22 Knowledge of Contraception Methods

Do you know the difference between IUDs and implants? (N = 1,000)
Response Percent
Yes 53%
No 32%
I am not sure 15%

22.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 52% 55% 53% 51%
No 38% 33% 31% 26%
I am not sure 10% 12% 16% 22%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 44% 55% 58% 64%
No 38% 31% 26% 25%
I am not sure 18% 13% 15% 11%

Gender

Response Male Female
Yes 45% 61%
No 39% 25%
I am not sure 16% 14%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 43% 57% 61%
No 40% 30% 25%
I am not sure 17% 13% 14%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 59% 45% 51%
No 28% 40% 32%
I am not sure 13% 15% 16%

Race/Ethnicity

Response White Black Hispanic Other
Yes 53% 54% 56% 49%
No 30% 34% 32% 41%
I am not sure 17% 11% 12% 11%

23 Personal Connections to Infertility

Infertility is a disease, condition, or status characterized by: (1) the failure to achieve a successful pregnancy after 12 months of regular unprotected sexual intercourse (or 6 months for ages 35 and older); and/or (2) the need for medical interventions to achieve a successful pregnancy (e.g., egg/sperm/embryo donation, intrauterine insemination (IUI), in vitro [IVF]). Who do you know that has experienced infertility? Select all that apply. (N = 1,000)
Item Selected
I don’t know anyone with infertility 60%
A friend, colleague, or acquaintance 21%
A family member 18%
Me and/or my partner 9%

23.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
I don’t know anyone with infertility 61% 57% 59% 67%
A friend, colleague, or acquaintance 23% 25% 21% 16%
A family member 23% 17% 16% 16%
Me and/or my partner 7% 11% 11% 5%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
I don’t know anyone with infertility 74% 58% 48% 49%
A family member 13% 19% 19% 20%
A friend, colleague, or acquaintance 13% 21% 32% 32%
Me and/or my partner 5% 9% 11% 15%

Gender

Response Male Female
I don’t know anyone with infertility 67% 53%
A friend, colleague, or acquaintance 15% 28%
A family member 13% 23%
Me and/or my partner 9% 9%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
I don’t know anyone with infertility 71% 64% 47%
A family member 16% 12% 23%
A friend, colleague, or acquaintance 10% 21% 33%
Me and/or my partner 9% 8% 9%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
I don’t know anyone with infertility 60% 65% 58%
A friend, colleague, or acquaintance 24% 19% 20%
A family member 18% 13% 20%
Me and/or my partner 6% 13% 10%

Race/Ethnicity

Response White Black Hispanic Other
I don’t know anyone with infertility 58% 71% 60% 63%
A friend, colleague, or acquaintance 22% 10% 25% 26%
A family member 20% 16% 14% 13%
Me and/or my partner 11% 4% 6% 7%

24 Support for Access to IVF

In vitro fertilization (IVF) is a medical procedure whereby an egg is fertilized by sperm in a test tube or elsewhere outside the body. Do you support the rights of infertility patients to pursue IVF treatments? (N = 1,000)
Response Percent
Yes, with no restrictions. 53%
Yes, but with some restrictions (e.g., unused embryos cannot be discarded) 21%
No 11%
Unsure 15%

24.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes, with no restrictions. 55% 46% 59% 54%
Yes, but with some restrictions (e.g., unused embryos cannot be discarded) 14% 24% 21% 23%
No 11% 16% 9% 8%
Unsure 19% 14% 11% 15%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes, with no restrictions. 43% 55% 55% 66%
Yes, but with some restrictions (e.g., unused embryos cannot be discarded) 20% 20% 31% 18%
No 11% 13% 9% 8%
Unsure 26% 12% 4% 8%

Gender

Response Male Female
Yes, with no restrictions. 49% 56%
Yes, but with some restrictions (e.g., unused embryos cannot be discarded) 25% 18%
No 13% 10%
Unsure 13% 16%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes, with no restrictions. 44% 55% 61%
Yes, but with some restrictions (e.g., unused embryos cannot be discarded) 17% 24% 23%
No 15% 11% 7%
Unsure 24% 10% 8%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes, with no restrictions. 67% 52% 39%
Yes, but with some restrictions (e.g., unused embryos cannot be discarded) 13% 16% 33%
No 9% 13% 13%
Unsure 11% 20% 16%

Race/Ethnicity

Response White Black Hispanic Other
Yes, with no restrictions. 55% 50% 50% 49%
Yes, but with some restrictions (e.g., unused embryos cannot be discarded) 24% 13% 20% 21%
No 9% 19% 13% 10%
Unsure 12% 18% 17% 20%

25 Insurance Coverage for Assisted Conception Methods

State governments can pass laws that require health insurance companies to cover certain medical services. To what extent would you support a law in your state requiring health insurance companies to cover assisted conception methods such as intrauterine insemination (IUI) or in vitro fertilization (IVF) for patients with infertility? (N = 1,000)
Response Percent
Strongly support 41%
Somewhat support 24%
Neither support nor oppose 26%
Somewhat oppose 5%
Strongly oppose 5%

25.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Strongly support 45% 42% 41% 35%
Somewhat support 16% 24% 29% 26%
Neither support nor oppose 30% 27% 21% 25%
Somewhat oppose 5% 3% 5% 8%
Strongly oppose 4% 4% 5% 6%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Strongly support 39% 40% 41% 47%
Somewhat support 17% 27% 29% 24%
Neither support nor oppose 35% 24% 19% 15%
Somewhat oppose 4% 5% 4% 10%
Strongly oppose 4% 4% 7% 5%

Gender

Response Male Female
Strongly support 36% 44%
Somewhat support 27% 22%
Neither support nor oppose 27% 24%
Somewhat oppose 6% 5%
Strongly oppose 4% 5%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Strongly support 38% 42% 42%
Somewhat support 19% 26% 28%
Neither support nor oppose 34% 24% 19%
Somewhat oppose 4% 4% 7%
Strongly oppose 6% 4% 4%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Strongly support 54% 38% 29%
Somewhat support 22% 22% 27%
Neither support nor oppose 19% 32% 29%
Somewhat oppose 3% 4% 7%
Strongly oppose 2% 3% 8%

Race/Ethnicity

Response White Black Hispanic Other
Strongly support 38% 45% 45% 42%
Somewhat support 25% 19% 27% 18%
Neither support nor oppose 25% 32% 22% 32%
Somewhat oppose 6% 4% 4% 3%
Strongly oppose 6% 1% 2% 5%

26 Training for Intellectual Disability Care

Do you feel that there is enough training for the healthcare workforce to provide adequate care to people with Intellectual and Developmental Disabilities? (N = 1,000)
Response Percent
Yes 15%
Somewhat 36%
No 35%
Unsure 13%

26.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 12% 17% 13% 17%
Somewhat 40% 40% 31% 34%
No 38% 32% 40% 32%
Unsure 10% 11% 16% 17%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 17% 14% 17% 15%
Somewhat 37% 37% 35% 37%
No 34% 37% 35% 31%
Unsure 13% 12% 13% 17%

Gender

Response Male Female
Yes 19% 12%
Somewhat 38% 35%
No 30% 39%
Unsure 13% 14%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 17% 13% 15%
Somewhat 36% 38% 36%
No 35% 35% 35%
Unsure 12% 14% 14%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 14% 13% 18%
Somewhat 38% 29% 39%
No 35% 42% 32%
Unsure 13% 16% 12%

Race/Ethnicity

Response White Black Hispanic Other
Yes 14% 21% 19% 6%
Somewhat 37% 34% 31% 47%
No 36% 27% 41% 30%
Unsure 13% 18% 9% 17%

27 Sexual Orientation Identification

How do you identify your sexual orientation? (N = 1,000)
Response Percent
Heterosexual 87%
Bisexual 6%
Gay or Lesbian 4%
Pansexual 1%
Other 2%

27.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Heterosexual 68% 88% 92% 94%
Bisexual 19% 4% 2% 1%
Gay or Lesbian 6% 4% 4% 4%
Pansexual 3% 3% 0% 0%
Other 4% 1% 2% 1%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Heterosexual 83% 88% 85% 90%
Bisexual 8% 5% 7% 3%
Gay or Lesbian 4% 4% 5% 5%
Pansexual 2% 1% 1% 2%
Other 4% 2% 1% 0%

Gender

Response Male Female
Heterosexual 87% 88%
Bisexual 3% 8%
Gay or Lesbian 8% 1%
Pansexual 1% 1%
Other 2% 2%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Heterosexual 82% 88% 89%
Bisexual 9% 5% 3%
Gay or Lesbian 4% 2% 6%
Pansexual 1% 2% 1%
Other 4% 2% 0%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Heterosexual 81% 80% 96%
Bisexual 8% 9% 1%
Gay or Lesbian 7% 4% 1%
Pansexual 2% 3% 0%
Other 2% 4% 2%

Race/Ethnicity

Response White Black Hispanic Other
Heterosexual 89% 87% 82% 80%
Bisexual 4% 9% 10% 6%
Gay or Lesbian 5% 3% 4% 5%
Pansexual 1% 0% 2% 5%
Other 2% 1% 3% 4%

28 Rights to Refuse Care

Please select how strongly you agree or disagree with this statement, with 0 being “Strongly disagree” and 5 being “Strongly agree”. Healthcare providers should have the right to refuse medical care to lesbian, gay, bisexual, transgender, or queer (LGBTQ) patients based on the healthcare provider’s sincerely held principles. (N = 1,000)
Response Percent
0- Strongly Disagree 55%
1 7%
2 7%
3 13%
4 6%
5- Strongly Agree 11%

28.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
0- Strongly Disagree 53% 50% 61% 58%
1 3% 9% 8% 7%
2 6% 8% 6% 10%
3 17% 18% 10% 7%
4 7% 6% 4% 8%
5- Strongly Agree 15% 10% 11% 11%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
0- Strongly Disagree 55% 57% 51% 52%
1 4% 6% 13% 11%
2 8% 7% 7% 8%
3 13% 14% 14% 10%
4 7% 5% 5% 5%
5- Strongly Agree 12% 10% 9% 14%

Gender

Response Male Female
0- Strongly Disagree 48% 61%
1 9% 5%
2 7% 8%
3 15% 12%
4 8% 4%
5- Strongly Agree 13% 9%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
0- Strongly Disagree 50% 58% 57%
1 4% 7% 11%
2 10% 7% 5%
3 16% 13% 11%
4 5% 7% 6%
5- Strongly Agree 15% 9% 9%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
0- Strongly Disagree 71% 59% 37%
1 7% 4% 9%
2 5% 9% 9%
3 9% 11% 19%
4 3% 7% 8%
5- Strongly Agree 5% 10% 18%

Race/Ethnicity

Response White Black Hispanic Other
0- Strongly Disagree 55% 51% 60% 51%
1 8% 5% 5% 8%
2 8% 7% 7% 6%
3 12% 11% 16% 17%
4 6% 7% 4% 6%
5- Strongly Agree 10% 19% 8% 13%

29 Experience of Racial Discrimination

Did you ever experience racial discrimination as a youth (under 18 years of age)? (N = 1,000)
Response Percent
Yes 24%
No 76%

29.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 37% 26% 25% 11%
No 63% 74% 75% 89%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 23% 26% 20% 26%
No 77% 74% 80% 74%

Gender

Response Male Female
Yes 27% 22%
No 73% 78%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 22% 27% 25%
No 78% 73% 75%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 28% 31% 18%
No 72% 69% 82%

Race/Ethnicity

Response White Black Hispanic Other
Yes 11% 41% 47% 49%
No 89% 59% 53% 51%

30 Emotional Distress Due To Climate Change

How often do you feel nervous, depressed, or emotionally stressed about the future because of climate change? (N = 1,000)
Response Percent
Never 30%
Rarely 20%
Sometimes 25%
Often 12%
Very often 9%
I am not sure 2%
I prefer not to answer 1%

30.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Never 23% 25% 32% 41%
Rarely 18% 17% 25% 22%
Sometimes 23% 30% 24% 23%
Often 19% 12% 9% 9%
Very often 13% 12% 8% 3%
I am not sure 1% 4% 2% 1%
I prefer not to answer 3% 1% 0% 0%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Never 30% 28% 33% 35%
Rarely 23% 20% 16% 19%
Sometimes 23% 26% 27% 29%
Often 10% 13% 12% 12%
Very often 9% 10% 10% 6%
I am not sure 3% 2% 1% 0%
I prefer not to answer 1% 1% 1% 0%

Gender

Response Male Female
Never 36% 25%
Rarely 21% 20%
Sometimes 22% 28%
Often 11% 13%
Very often 7% 12%
I am not sure 2% 2%
I prefer not to answer 1% 1%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Never 31% 33% 27%
Rarely 21% 21% 19%
Sometimes 24% 22% 29%
Often 10% 11% 14%
Very often 9% 11% 8%
I am not sure 4% 1% 1%
I prefer not to answer 1% 1% 1%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Never 13% 36% 45%
Rarely 19% 17% 24%
Sometimes 34% 25% 17%
Often 17% 7% 9%
Very often 13% 10% 5%
I am not sure 2% 3% 1%
I prefer not to answer 1% 2% 0%

Race/Ethnicity

Response White Black Hispanic Other
Never 33% 22% 27% 24%
Rarely 22% 20% 15% 16%
Sometimes 24% 28% 26% 26%
Often 10% 9% 19% 18%
Very often 8% 17% 10% 7%
I am not sure 2% 3% 1% 5%
I prefer not to answer 0% 0% 2% 4%

31 Phone Addiction

How much do you agree with this statement: “I feel addicted to using my phone?” (N = 1,000)
Response Percent
Not at all 13%
A little 25%
Somewhat 30%
A lot 17%
Completely 15%

31.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Not at all 6% 7% 13% 27%
A little 21% 20% 26% 35%
Somewhat 34% 34% 32% 20%
A lot 19% 21% 14% 13%
Completely 20% 18% 14% 5%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Not at all 15% 13% 11% 11%
A little 23% 25% 26% 32%
Somewhat 27% 31% 38% 25%
A lot 16% 18% 17% 14%
Completely 19% 14% 8% 18%

Gender

Response Male Female
Not at all 14% 12%
A little 29% 22%
Somewhat 30% 31%
A lot 15% 18%
Completely 12% 17%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Not at all 12% 12% 15%
A little 22% 26% 27%
Somewhat 31% 30% 30%
A lot 15% 17% 19%
Completely 19% 15% 10%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Not at all 11% 16% 14%
A little 25% 24% 26%
Somewhat 32% 29% 30%
A lot 18% 16% 17%
Completely 16% 14% 14%

Race/Ethnicity

Response White Black Hispanic Other
Not at all 15% 13% 7% 14%
A little 27% 19% 27% 18%
Somewhat 31% 25% 34% 27%
A lot 17% 17% 14% 20%
Completely 10% 25% 18% 22%

32 Social Media Habits

What social media do you spend the most amount of time on (daily)? (N = 1,000)
Response Percent
Facebook 50%
Instagram 22%
Tiktok 12%
X (Twitter) 5%
Snapchat 2%
LinkedIn 1%
Other 8%

32.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Facebook 21% 47% 60% 67%
Instagram 45% 23% 15% 7%
Tiktok 23% 14% 7% 4%
X (Twitter) 2% 5% 6% 7%
Snapchat 4% 1% 1% 0%
LinkedIn 1% 1% 1% 1%
Other 3% 8% 8% 13%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Facebook 55% 49% 44% 48%
Instagram 17% 25% 22% 21%
Tiktok 16% 11% 11% 5%
X (Twitter) 4% 3% 11% 9%
Snapchat 1% 2% 2% 0%
LinkedIn 0% 1% 1% 5%
Other 7% 9% 9% 12%

Gender

Response Male Female
Facebook 47% 53%
Instagram 22% 21%
Tiktok 10% 14%
X (Twitter) 8% 3%
Snapchat 0% 3%
LinkedIn 1% 1%
Other 12% 5%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Facebook 53% 51% 46%
Instagram 21% 20% 24%
Tiktok 15% 14% 7%
X (Twitter) 2% 5% 9%
Snapchat 2% 1% 1%
LinkedIn 0% 0% 3%
Other 6% 10% 10%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Facebook 43% 49% 58%
Instagram 29% 21% 15%
Tiktok 13% 16% 9%
X (Twitter) 5% 4% 6%
Snapchat 2% 2% 1%
LinkedIn 1% 1% 1%
Other 8% 8% 9%

Race/Ethnicity

Response White Black Hispanic Other
Facebook 56% 41% 41% 41%
Instagram 16% 27% 32% 31%
Tiktok 10% 19% 13% 12%
X (Twitter) 6% 1% 6% 6%
Snapchat 1% 2% 2% 0%
LinkedIn 1% 0% 1% 2%
Other 9% 10% 4% 9%

33 Emotional Distress Due To Extreme Weather Events

How often do you feel nervous, depressed, or emotionally stressed about the future because of rising temperatures leading to events like heat waves, wildfire, flooding, or extreme cold? (N = 1,000)
Response Percent
Never 20%
Rarely 26%
Sometimes 30%
Often 13%
Very often 10%
I am not sure 1%
I prefer not to answer 0%

33.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Never 13% 13% 25% 31%
Rarely 22% 23% 30% 29%
Sometimes 34% 34% 26% 26%
Often 14% 16% 10% 9%
Very often 17% 11% 8% 5%
I am not sure 0% 1% 1% 0%
I prefer not to answer 0% 1% 0% 0%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Never 18% 20% 27% 21%
Rarely 25% 29% 21% 23%
Sometimes 31% 27% 31% 41%
Often 11% 14% 13% 9%
Very often 14% 10% 7% 5%
I am not sure 1% 0% 1% 2%
I prefer not to answer 1% 0% 1% 0%

Gender

Response Male Female
Never 27% 14%
Rarely 26% 26%
Sometimes 28% 33%
Often 10% 15%
Very often 8% 12%
I am not sure 0% 1%
I prefer not to answer 1% 0%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Never 18% 24% 20%
Rarely 28% 27% 23%
Sometimes 29% 26% 34%
Often 13% 11% 13%
Very often 10% 10% 10%
I am not sure 1% 1% 0%
I prefer not to answer 0% 0% 0%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Never 11% 14% 32%
Rarely 22% 31% 28%
Sometimes 33% 32% 26%
Often 18% 9% 9%
Very often 15% 11% 4%
I am not sure 0% 2% 1%
I prefer not to answer 0% 1% 0%

Race/Ethnicity

Response White Black Hispanic Other
Never 23% 11% 16% 20%
Rarely 27% 29% 21% 22%
Sometimes 28% 30% 36% 33%
Often 12% 15% 10% 16%
Very often 8% 12% 16% 9%
I am not sure 0% 4% 0% 0%
I prefer not to answer 0% 0% 1% 0%

34 Arts and Social Cohesion

Do you agree or disagree with the following statement? Participating in the arts builds social cohesion in my community. (N = 1,000)
Response Percent
Agree 73%
Disagree 27%

34.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Agree 81% 74% 71% 67%
Disagree 19% 26% 29% 33%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Agree 68% 73% 80% 79%
Disagree 32% 27% 20% 21%

Gender

Response Male Female
Agree 69% 77%
Disagree 31% 23%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Agree 63% 74% 83%
Disagree 37% 26% 17%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Agree 84% 70% 64%
Disagree 16% 30% 36%

Race/Ethnicity

Response White Black Hispanic Other
Agree 72% 79% 71% 74%
Disagree 28% 21% 29% 26%

35 Population Threshold for Rural Towns

Consider a random city/town in the United States that is 5 square miles. In your opinion, how many residents would have to live in that city/town for YOU to consider it rural? (N = 1,000)
Response Percent
Fewer than 100 people 24%
Fewer than 1000 people 46%
Fewer than 10,000 people 23%
Fewer than 100,000 people 7%

35.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Fewer than 100 people 10% 28% 30% 23%
Fewer than 1000 people 51% 42% 44% 50%
Fewer than 10,000 people 23% 23% 22% 23%
Fewer than 100,000 people 16% 7% 4% 4%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Fewer than 100 people 25% 27% 16% 20%
Fewer than 1000 people 46% 43% 53% 50%
Fewer than 10,000 people 21% 23% 25% 25%
Fewer than 100,000 people 8% 8% 6% 5%

Gender

Response Male Female
Fewer than 100 people 20% 28%
Fewer than 1000 people 47% 45%
Fewer than 10,000 people 26% 20%
Fewer than 100,000 people 8% 7%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Fewer than 100 people 24% 26% 22%
Fewer than 1000 people 47% 43% 48%
Fewer than 10,000 people 19% 25% 25%
Fewer than 100,000 people 11% 5% 5%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Fewer than 100 people 21% 27% 25%
Fewer than 1000 people 49% 44% 44%
Fewer than 10,000 people 24% 20% 22%
Fewer than 100,000 people 6% 9% 8%

Race/Ethnicity

Response White Black Hispanic Other
Fewer than 100 people 23% 18% 27% 29%
Fewer than 1000 people 49% 38% 44% 43%
Fewer than 10,000 people 23% 27% 20% 21%
Fewer than 100,000 people 5% 17% 9% 7%

36 Culture of Traffic Safety

How much do you agree or disagree with the following statement? To improve traffic safety, we need a strong safety culture of shared values, attitudes, and beliefs about driving and using roadways. (N = 1,000)
Response Percent
Strongly disagree 2%
Disagree 2%
Neither disagree nor agree 15%
Agree 50%
Strongly Agree 31%

36.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Strongly disagree 2% 2% 2% 2%
Disagree 1% 3% 0% 2%
Neither disagree nor agree 17% 18% 13% 11%
Agree 47% 49% 54% 50%
Strongly Agree 33% 29% 30% 35%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Strongly disagree 2% 1% 0% 9%
Disagree 2% 1% 2% 3%
Neither disagree nor agree 20% 13% 13% 8%
Agree 48% 52% 53% 47%
Strongly Agree 28% 33% 31% 33%

Gender

Response Male Female
Strongly disagree 2% 2%
Disagree 2% 1%
Neither disagree nor agree 11% 19%
Agree 53% 47%
Strongly Agree 32% 31%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Strongly disagree 2% 2% 2%
Disagree 1% 2% 2%
Neither disagree nor agree 23% 14% 8%
Agree 44% 49% 57%
Strongly Agree 30% 33% 31%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Strongly disagree 2% 2% 2%
Disagree 1% 0% 3%
Neither disagree nor agree 11% 26% 13%
Agree 52% 43% 52%
Strongly Agree 34% 28% 30%

Race/Ethnicity

Response White Black Hispanic Other
Strongly disagree 2% 4% 2% 3%
Disagree 2% 0% 1% 1%
Neither disagree nor agree 14% 14% 19% 12%
Agree 52% 48% 52% 41%
Strongly Agree 31% 34% 26% 43%

37 Responsibility for Traffic Safety

In your opinion, who has the most responsibility for traffic safety? (N = 1,000)
Response Percent
Drivers 66%
Policymakers (e.g., legislators, commissioners, government) 8%
Law enforcement 8%
Roadway engineers or designers 6%
Road users other than drivers (e.g., pedestrians, bicyclists, etc.) 6%
Road maintenance personnel 5%
Vehicle manufacturers 2%

37.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Drivers 57% 60% 71% 77%
Policymakers (e.g., legislators, commissioners, government) 14% 8% 8% 4%
Law enforcement 7% 10% 7% 5%
Roadway engineers or designers 5% 7% 5% 6%
Road users other than drivers (e.g., pedestrians, bicyclists, etc.) 8% 5% 5% 4%
Road maintenance personnel 5% 7% 3% 2%
Vehicle manufacturers 4% 2% 1% 1%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Drivers 63% 65% 74% 67%
Policymakers (e.g., legislators, commissioners, government) 8% 8% 5% 11%
Law enforcement 8% 8% 7% 9%
Roadway engineers or designers 6% 6% 4% 7%
Road users other than drivers (e.g., pedestrians, bicyclists, etc.) 8% 5% 5% 1%
Road maintenance personnel 5% 6% 2% 3%
Vehicle manufacturers 2% 2% 2% 1%

Gender

Response Male Female
Drivers 69% 64%
Policymakers (e.g., legislators, commissioners, government) 7% 9%
Law enforcement 10% 6%
Roadway engineers or designers 4% 7%
Road users other than drivers (e.g., pedestrians, bicyclists, etc.) 5% 6%
Road maintenance personnel 3% 6%
Vehicle manufacturers 2% 2%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Drivers 55% 74% 72%
Policymakers (e.g., legislators, commissioners, government) 10% 5% 9%
Law enforcement 11% 5% 7%
Roadway engineers or designers 5% 6% 6%
Road users other than drivers (e.g., pedestrians, bicyclists, etc.) 8% 5% 4%
Road maintenance personnel 8% 4% 2%
Vehicle manufacturers 3% 2% 1%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Drivers 67% 58% 69%
Policymakers (e.g., legislators, commissioners, government) 11% 6% 6%
Law enforcement 7% 9% 8%
Roadway engineers or designers 5% 5% 7%
Road users other than drivers (e.g., pedestrians, bicyclists, etc.) 6% 7% 5%
Road maintenance personnel 2% 11% 4%
Vehicle manufacturers 2% 4% 1%

Race/Ethnicity

Response White Black Hispanic Other
Drivers 72% 48% 62% 62%
Policymakers (e.g., legislators, commissioners, government) 7% 11% 8% 12%
Law enforcement 7% 14% 8% 7%
Roadway engineers or designers 5% 12% 3% 7%
Road users other than drivers (e.g., pedestrians, bicyclists, etc.) 4% 10% 9% 5%
Road maintenance personnel 4% 6% 7% 6%
Vehicle manufacturers 2% 1% 4% 1%

38 Risk to Road Safety

In your opinion, which of the following driving behaviors is the biggest risk to safety on your local roads? (N = 1,000)
Response Percent
Distracted driving 39%
Aggressive driving 20%
Driving under the influence of alcohol 18%
Speeding 12%
Driving under the influence of substances other than alcohol or cannabis 7%
Driving under the influence of cannabis 3%
Lack of occupational protection (example: not wearing a seatbelt, not wearing a helmet, etc.) 1%

38.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Distracted driving 34% 37% 42% 42%
Aggressive driving 23% 20% 19% 20%
Driving under the influence of alcohol 13% 18% 19% 20%
Speeding 15% 14% 11% 10%
Driving under the influence of substances other than alcohol or cannabis 9% 9% 4% 7%
Driving under the influence of cannabis 3% 3% 3% 1%
Lack of occupational protection (example: not wearing a seatbelt, not wearing a helmet, etc.) 3% 1% 2% 0%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Distracted driving 32% 38% 48% 47%
Aggressive driving 19% 23% 16% 20%
Driving under the influence of alcohol 20% 18% 17% 10%
Speeding 15% 10% 14% 9%
Driving under the influence of substances other than alcohol or cannabis 8% 7% 5% 9%
Driving under the influence of cannabis 3% 2% 0% 4%
Lack of occupational protection (example: not wearing a seatbelt, not wearing a helmet, etc.) 3% 1% 1% 1%

Gender

Response Male Female
Distracted driving 40% 37%
Aggressive driving 20% 20%
Driving under the influence of alcohol 18% 17%
Speeding 12% 13%
Driving under the influence of substances other than alcohol or cannabis 6% 8%
Driving under the influence of cannabis 2% 3%
Lack of occupational protection (example: not wearing a seatbelt, not wearing a helmet, etc.) 1% 2%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Distracted driving 35% 37% 44%
Aggressive driving 18% 25% 19%
Driving under the influence of alcohol 18% 18% 17%
Speeding 12% 13% 12%
Driving under the influence of substances other than alcohol or cannabis 10% 6% 5%
Driving under the influence of cannabis 5% 1% 2%
Lack of occupational protection (example: not wearing a seatbelt, not wearing a helmet, etc.) 2% 1% 1%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Distracted driving 37% 35% 43%
Aggressive driving 21% 22% 19%
Driving under the influence of alcohol 18% 17% 18%
Speeding 13% 13% 11%
Driving under the influence of substances other than alcohol or cannabis 8% 7% 7%
Driving under the influence of cannabis 2% 5% 2%
Lack of occupational protection (example: not wearing a seatbelt, not wearing a helmet, etc.) 1% 2% 1%

Race/Ethnicity

Response White Black Hispanic Other
Distracted driving 44% 24% 31% 38%
Aggressive driving 18% 22% 24% 27%
Driving under the influence of alcohol 20% 17% 16% 10%
Speeding 11% 22% 13% 10%
Driving under the influence of substances other than alcohol or cannabis 5% 11% 11% 11%
Driving under the influence of cannabis 2% 2% 3% 5%
Lack of occupational protection (example: not wearing a seatbelt, not wearing a helmet, etc.) 1% 1% 2% 0%

39 Awareness of SNAP

Do you know what the Supplemental Nutrition Assistance Program (SNAP) is? (N = 1,000)
Response Percent
Yes 88%
No 12%

39.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 88% 88% 90% 84%
No 12% 12% 10% 16%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 93% 88% 84% 80%
No 7% 12% 16% 20%

Gender

Response Male Female
Yes 85% 91%
No 15% 9%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 88% 86% 88%
No 12% 14% 12%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 90% 85% 87%
No 10% 15% 13%

Race/Ethnicity

Response White Black Hispanic Other
Yes 86% 94% 88% 90%
No 14% 6% 12% 10%

40 Knowledge of SNAP Benefits

Do you know what benefits are available in the SNAP? (N = 1,000)
Response Percent
Yes 66%
No 34%

40.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 67% 72% 68% 53%
No 33% 28% 32% 47%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 75% 67% 55% 47%
No 25% 33% 45% 53%

Gender

Response Male Female
Yes 62% 69%
No 38% 31%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 70% 65% 62%
No 30% 35% 38%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 73% 62% 60%
No 27% 38% 40%

Race/Ethnicity

Response White Black Hispanic Other
Yes 61% 84% 73% 62%
No 39% 16% 27% 38%

41 Access to Free Medically Tailored Meals

Are you in a program that serves Free Medically Tailored Meals? (N = 1,000)
Response Percent
Yes 4%
No 88%
I don’t know 8%

41.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 3% 9% 1% 1%
No 79% 86% 94% 93%
I don’t know 18% 5% 5% 6%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 4% 3% 6% 6%
No 86% 89% 91% 85%
I don’t know 10% 7% 4% 9%

Gender

Response Male Female
Yes 4% 4%
No 91% 86%
I don’t know 5% 10%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 5% 1% 5%
No 85% 89% 91%
I don’t know 10% 9% 5%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 4% 3% 5%
No 90% 83% 89%
I don’t know 6% 14% 6%

Race/Ethnicity

Response White Black Hispanic Other
Yes 3% 6% 7% 2%
No 90% 84% 85% 87%
I don’t know 7% 10% 7% 11%

42 Perception of Co-Response Programs

A co-response program partners mental health clinicians with first responders to respond to mental health crises. What is your current perception of co-response programs across the country? (N = 1,000)
Response Percent
Very Positive 21%
Positive 31%
Neutral 26%
Negative 3%
Very Negative 1%
I don’t know what that is 17%

42.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Very Positive 23% 21% 20% 20%
Positive 24% 28% 36% 38%
Neutral 30% 28% 26% 21%
Negative 3% 4% 2% 4%
Very Negative 1% 1% 1% 1%
I don’t know what that is 20% 18% 16% 16%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Very Positive 21% 23% 15% 20%
Positive 24% 32% 40% 34%
Neutral 31% 23% 27% 27%
Negative 2% 4% 2% 4%
Very Negative 1% 1% 1% 0%
I don’t know what that is 19% 17% 16% 15%

Gender

Response Male Female
Very Positive 19% 23%
Positive 35% 28%
Neutral 25% 28%
Negative 4% 2%
Very Negative 2% 0%
I don’t know what that is 15% 20%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Very Positive 21% 19% 22%
Positive 25% 31% 37%
Neutral 33% 24% 21%
Negative 2% 3% 4%
Very Negative 1% 1% 1%
I don’t know what that is 18% 22% 14%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Very Positive 31% 12% 15%
Positive 39% 20% 29%
Neutral 15% 42% 29%
Negative 2% 2% 4%
Very Negative 1% 1% 1%
I don’t know what that is 12% 23% 20%

Race/Ethnicity

Response White Black Hispanic Other
Very Positive 20% 30% 19% 19%
Positive 32% 32% 28% 35%
Neutral 25% 17% 36% 29%
Negative 3% 1% 4% 2%
Very Negative 1% 0% 2% 3%
I don’t know what that is 19% 21% 12% 12%

43 Support for Maternal Health Resources

Please rate the extent to which you agree or disagree with the following statement: The US Government should allocate greater resources to improve maternal health for women who experience poor maternal health outcomes. (N = 1,000)
Response Percent
1- Strongly agree 33%
2- Agree 38%
3- Neither agree nor disagree 22%
4- Disagree 4%
5- Strongly Disagree 4%

43.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
1- Strongly agree 40% 34% 35% 27%
2- Agree 30% 41% 35% 43%
3- Neither agree nor disagree 22% 20% 22% 23%
4- Disagree 2% 3% 6% 5%
5- Strongly Disagree 7% 3% 3% 3%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
1- Strongly agree 31% 36% 29% 33%
2- Agree 36% 36% 46% 37%
3- Neither agree nor disagree 26% 21% 17% 16%
4- Disagree 3% 3% 5% 8%
5- Strongly Disagree 3% 4% 3% 5%

Gender

Response Male Female
1- Strongly agree 27% 39%
2- Agree 40% 36%
3- Neither agree nor disagree 24% 19%
4- Disagree 4% 3%
5- Strongly Disagree 4% 3%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
1- Strongly agree 27% 34% 39%
2- Agree 35% 38% 39%
3- Neither agree nor disagree 29% 21% 14%
4- Disagree 3% 3% 5%
5- Strongly Disagree 5% 4% 3%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
1- Strongly agree 46% 29% 23%
2- Agree 38% 34% 39%
3- Neither agree nor disagree 12% 31% 26%
4- Disagree 0% 2% 8%
5- Strongly Disagree 2% 5% 5%

Race/Ethnicity

Response White Black Hispanic Other
1- Strongly agree 29% 53% 30% 43%
2- Agree 40% 34% 37% 29%
3- Neither agree nor disagree 23% 7% 29% 18%
4- Disagree 4% 2% 2% 4%
5- Strongly Disagree 4% 3% 3% 6%

44 Support Person for Maternal Mental Health

If you were struggling with maternal mental health, who would you select as a support person? Select all that apply. (N = 1,000)
Item Selected
Partner 55%
Friend 44%
Provider 39%
Mother 38%
Clergy 11%

44.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Partner 63% 58% 50% 51%
Mother 56% 47% 29% 20%
Friend 50% 47% 42% 38%
Provider 28% 40% 41% 42%
Clergy 3% 11% 12% 18%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Partner 49% 54% 65% 68%
Friend 43% 45% 49% 40%
Provider 39% 38% 38% 44%
Mother 36% 38% 38% 43%
Clergy 7% 12% 16% 16%

Gender

Response Male Female
Partner 57% 54%
Mother 41% 35%
Friend 41% 47%
Provider 39% 37%
Clergy 14% 9%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Partner 54% 52% 60%
Mother 42% 28% 41%
Friend 40% 46% 48%
Provider 35% 38% 43%
Clergy 8% 15% 12%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Partner 54% 56% 56%
Provider 47% 38% 30%
Friend 47% 47% 41%
Mother 38% 40% 37%
Clergy 8% 12% 15%

Race/Ethnicity

Response White Black Hispanic Other
Partner 57% 45% 53% 63%
Friend 44% 46% 45% 45%
Provider 35% 46% 39% 49%
Mother 33% 45% 41% 57%
Clergy 12% 14% 7% 14%

45 Top Public Health Issue

In your opinion, what is the most important public health issue U.S. federal officials should be focusing on at this time? (N = 1,000)
Response Percent
Mental health 30%
Access to care 20%
Gun violence 16%
Substance abuse 12%
Nutrition 7%
Environmental health 5%
Infectious diseases 5%
Other 4%

45.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Mental health 22% 32% 37% 27%
Access to care 26% 18% 22% 15%
Gun violence 15% 15% 16% 18%
Substance abuse 10% 12% 12% 15%
Nutrition 10% 8% 7% 5%
Environmental health 8% 5% 3% 5%
Infectious diseases 6% 5% 2% 8%
Other 3% 5% 2% 6%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Mental health 27% 34% 28% 27%
Access to care 20% 20% 21% 17%
Gun violence 19% 12% 17% 20%
Substance abuse 11% 13% 12% 12%
Nutrition 5% 7% 12% 10%
Environmental health 7% 4% 4% 8%
Infectious diseases 6% 6% 4% 1%
Other 5% 4% 2% 5%

Gender

Response Male Female
Mental health 28% 32%
Access to care 22% 18%
Gun violence 14% 18%
Substance abuse 14% 11%
Nutrition 7% 8%
Environmental health 5% 5%
Infectious diseases 6% 4%
Other 4% 4%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Mental health 31% 35% 26%
Access to care 19% 18% 22%
Gun violence 17% 11% 18%
Substance abuse 12% 13% 12%
Nutrition 5% 8% 9%
Environmental health 4% 7% 5%
Infectious diseases 7% 5% 3%
Other 4% 4% 4%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Mental health 26% 30% 34%
Access to care 24% 23% 14%
Gun violence 25% 16% 7%
Substance abuse 9% 8% 17%
Nutrition 4% 6% 11%
Environmental health 7% 6% 4%
Infectious diseases 2% 7% 7%
Other 3% 5% 5%

Race/Ethnicity

Response White Black Hispanic Other
Mental health 28% 38% 33% 28%
Access to care 20% 19% 21% 23%
Gun violence 16% 15% 20% 11%
Substance abuse 13% 7% 13% 13%
Nutrition 7% 8% 6% 8%
Environmental health 6% 4% 4% 6%
Infectious diseases 6% 3% 2% 5%
Other 4% 7% 2% 6%

46 Collaboration for Improved Health Outcomes

Which of the following terms best describes organizations, community members, jurisdictions, and various levels of government (local, state, federal, tribal) working together to improve health outcomes? (N = 1,000)
Response Percent
Collaborative partnerships 24%
Collaborative networks 15%
Multisector collaboration 14%
Cross-sector collaboration 10%
Cross-boundary collaboration 6%
Unsure 29%
Other 2%

46.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Collaborative partnerships 14% 22% 30% 30%
Collaborative networks 14% 15% 15% 15%
Multisector collaboration 14% 15% 16% 13%
Cross-sector collaboration 15% 9% 7% 8%
Cross-boundary collaboration 8% 5% 6% 5%
Unsure 32% 33% 25% 26%
Other 4% 2% 1% 2%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Collaborative partnerships 17% 26% 25% 32%
Collaborative networks 11% 16% 17% 18%
Multisector collaboration 12% 13% 21% 18%
Cross-sector collaboration 10% 10% 9% 6%
Cross-boundary collaboration 6% 6% 6% 5%
Unsure 41% 26% 21% 20%
Other 2% 3% 1% 2%

Gender

Response Male Female
Collaborative partnerships 27% 20%
Collaborative networks 17% 13%
Multisector collaboration 14% 15%
Cross-sector collaboration 9% 10%
Cross-boundary collaboration 7% 5%
Unsure 24% 34%
Other 2% 2%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Collaborative partnerships 15% 26% 31%
Collaborative networks 10% 17% 18%
Multisector collaboration 13% 13% 17%
Cross-sector collaboration 8% 12% 10%
Cross-boundary collaboration 8% 4% 5%
Unsure 43% 27% 17%
Other 3% 2% 2%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Collaborative partnerships 25% 19% 25%
Collaborative networks 21% 7% 13%
Multisector collaboration 17% 11% 13%
Cross-sector collaboration 11% 7% 10%
Cross-boundary collaboration 5% 9% 5%
Unsure 20% 42% 33%
Other 2% 4% 2%

Race/Ethnicity

Response White Black Hispanic Other
Collaborative partnerships 25% 17% 22% 28%
Collaborative networks 15% 24% 10% 14%
Multisector collaboration 14% 9% 19% 16%
Cross-sector collaboration 10% 12% 9% 4%
Cross-boundary collaboration 4% 7% 10% 12%
Unsure 31% 28% 26% 25%
Other 1% 3% 4% 3%

47 Sustainability in Healthcare Products

How important do you think sustainable development is in the manufacturing of health care products? (N = 1,000)
Response Percent
Extremely important 21%
Very important 36%
Moderately important 30%
Slightly important 9%
Not at all important 4%

47.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Extremely important 23% 25% 17% 18%
Very important 35% 33% 40% 37%
Moderately important 29% 30% 28% 33%
Slightly important 11% 9% 9% 8%
Not at all important 2% 3% 6% 6%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Extremely important 24% 23% 12% 19%
Very important 29% 40% 38% 37%
Moderately important 34% 27% 34% 24%
Slightly important 10% 8% 12% 10%
Not at all important 3% 3% 3% 10%

Gender

Response Male Female
Extremely important 19% 24%
Very important 34% 37%
Moderately important 32% 28%
Slightly important 9% 9%
Not at all important 6% 2%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Extremely important 23% 23% 18%
Very important 31% 37% 40%
Moderately important 32% 28% 29%
Slightly important 10% 9% 9%
Not at all important 4% 3% 5%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Extremely important 25% 24% 16%
Very important 43% 33% 30%
Moderately important 25% 36% 32%
Slightly important 7% 4% 15%
Not at all important 1% 3% 7%

Race/Ethnicity

Response White Black Hispanic Other
Extremely important 18% 40% 22% 19%
Very important 35% 34% 37% 41%
Moderately important 32% 17% 32% 30%
Slightly important 11% 7% 8% 5%
Not at all important 5% 3% 0% 6%

48 Knowledge of Types of Scientific Evidence

Are you familiar with the meaning of “contextual evidence” and “experiential evidence”? (N = 1,000)
Response Percent
Yes 37%
No 63%

48.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 58% 43% 27% 19%
No 42% 57% 73% 81%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 27% 37% 47% 48%
No 73% 63% 53% 52%

Gender

Response Male Female
Yes 38% 36%
No 62% 64%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 28% 34% 48%
No 72% 66% 52%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 44% 30% 32%
No 56% 70% 68%

Race/Ethnicity

Response White Black Hispanic Other
Yes 34% 44% 38% 44%
No 66% 56% 62% 56%

49 Support for Reparations

Do you believe that Black Americans should receive reparations? (N = 1,000)
Response Percent
Yes 23%
No 51%
Maybe 25%

49.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes 47% 25% 18% 8%
No 27% 45% 60% 73%
Maybe 26% 31% 23% 20%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes 23% 25% 22% 22%
No 47% 52% 54% 58%
Maybe 31% 23% 25% 20%

Gender

Response Male Female
Yes 19% 27%
No 59% 44%
Maybe 22% 29%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes 23% 20% 26%
No 49% 55% 52%
Maybe 28% 25% 22%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes 37% 20% 11%
No 32% 45% 74%
Maybe 31% 34% 15%

Race/Ethnicity

Response White Black Hispanic Other
Yes 13% 73% 20% 34%
No 65% 5% 42% 43%
Maybe 23% 22% 37% 22%

50 Awareness of Tigray Genocide

Have you heard about the Tigray Genocide that happened between 2020 and 2022? If so, where did it take place? (N = 1,000)
Response Percent
Yes, Ethiopia 13%
Yes, Sudan 3%
Yes, Ukraine 3%
Yes, Syria 1%
Yes, Eritrea 1%
Yes, Yemen 1%
No 78%

50.1 Crosstabs

Age

Response 18-29 30-49 50-64 65+
Yes, Ethiopia 11% 16% 13% 13%
Yes, Sudan 1% 2% 4% 4%
Yes, Ukraine 7% 2% 1% 1%
Yes, Syria 0% 2% 1% 0%
Yes, Eritrea 1% 1% 0% 1%
Yes, Yemen 1% 1% 0% 0%
No 78% 75% 81% 82%

Income

Response < $50,000 $50,000-$99,999 $100,000 - $149,999 > $150,000
Yes, Ethiopia 9% 11% 26% 19%
Yes, Sudan 2% 3% 3% 6%
Yes, Ukraine 5% 2% 1% 2%
Yes, Syria 0% 1% 0% 4%
Yes, Eritrea 0% 1% 0% 2%
Yes, Yemen 0% 1% 0% 0%
No 83% 81% 69% 67%

Gender

Response Male Female
Yes, Ethiopia 17% 10%
Yes, Sudan 3% 3%
Yes, Ukraine 2% 4%
Yes, Syria 1% 1%
Yes, Eritrea 1% 1%
Yes, Yemen 0% 1%
No 75% 81%

Education

Response HS or less Some college/2-yr degree 4-yr/post-graduate degree
Yes, Ethiopia 7% 12% 21%
Yes, Sudan 2% 4% 3%
Yes, Ukraine 5% 1% 2%
Yes, Syria 2% 0% 1%
Yes, Eritrea 0% 0% 2%
Yes, Yemen 1% 1% 0%
No 84% 81% 71%

Party ID

Response Dem/lean Dem Ind Rep/lean Rep
Yes, Ethiopia 15% 8% 15%
Yes, Sudan 3% 3% 3%
Yes, Ukraine 2% 3% 3%
Yes, Syria 1% 2% 1%
Yes, Eritrea 1% 1% 1%
Yes, Yemen 1% 1% 1%
No 78% 83% 77%

Race/Ethnicity

Response White Black Hispanic Other
Yes, Ethiopia 13% 12% 17% 9%
Yes, Sudan 3% 2% 4% 3%
Yes, Ukraine 1% 6% 6% 1%
Yes, Syria 0% 1% 1% 3%
Yes, Eritrea 1% 0% 1% 0%
Yes, Yemen 0% 4% 0% 0%
No 81% 74% 71% 83%

Survey Details

Verasight collected data for this survey from November 19 - November 22, 2024. The sample consists of 2,000 United States adults. Respondents were randomly assigned to one of the two modules (N = 1,000 per module), each containing a subset of the survey questions.

The sampling criteria for this survey were:

  1. U.S. adult (age 18+)

The selection criteria for the final sample were:

  1. Passed all data quality assurance checks, outlined below

The data are weighted to match the October 2024 Current Population Survey on age, race/ethnicity, sex, income, education, region, and metropolitan status, as well as to population benchmarks of partisanship and 2020 presidential vote. The margin of sampling error, which accounts for the design effect and is calculated using the classical random sampling formula, is +/- 3.4% for Module A and +/- 3.5% for Module B.

All respondents were recruited from the Verasight Community, which is composed of individuals recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting. All Verasight community members are verified via multi-step authentication, including providing an SMS response from a mobile phone registered with a major U.S. carrier (e.g., no VOIP or internet phones) as well as within-survey technology, including verifying the absence of non-human responses with technologies such as Google reCAPTCHA v3. Those who exhibit low-quality response behaviors over time, such as straight-lining or speeding, are also removed and prohibited from further participation in the community. Verasight Community members receive points for taking surveys that can be redeemed for Venmo or PayPal payments, gift cards, or charitable donations. Respondents are never routed from one survey to another and receive compensation for every invited survey, so there is never an incentive to respond strategically to survey qualification screener questions. To further ensure data quality, the Verasight data team implements a number of post-data collection quality assurance procedures, including confirming that all responses correspond with U.S. IP addresses, confirming no duplicate respondents, verifying the absence of non-human responses, and removing any respondents who failed in-survey attention, speeding, and/or straight-lining checks.

Unmeasured error in this or any other survey may exist. Verasight is a member of the American Association for Public Opinion Research Transparency Initiative.

 
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