Accessible training and AI support drive career mobility.
Topline Findings
September 14, 2026 – A new CWI Works survey, with data collection by Ipsos, reveals just over half (52%) of American adults 18 to 75 years of age feel very or extremely confident they would be able to find the necessary skills or credentials training to find a job in a new field. Just over one third (36%) are extremely or very confident they would be able to find a new job within one year that pays as much or more. For the currently unemployed looking for a job, four factors cluster as the top reasons, specifically few job openings in my geographic area (31%), need for additional or updated skills (29%), employers want more experience (28%), and few job openings in their field or industry (27%). When Americans are looking for a new job the term which makes most much more likely to apply for the job is “high potential” (22%), while the term making most much less likely to apply is “recent college graduate” (37%). Americans indicating terms make them less likely to apply for a new job cite “the role is intended for a different age group” as the reason for most of the terms tested.
Just over one third (35%) of Americans aged 18 to 75 currently use AI for their jobs with three in five (60%) saying they are very or extremely comfortable using it. Two in five (40%) somewhat or strongly agree they have the skills and training needed to be successful in an AI-enabled workplace while almost one quarter (23%) somewhat or strongly agree they expect to need to find a new job or a job in a new field within the next 2 years because of AI.
Roughly three quarters (76%) of Americans aged 18 to 75 somewhat or strongly agree people assume older employees are less comfortable with new technology and over three in five (62%) believe that working with colleagues from different generations impacts the work they do positively or very positively.
Detailed Findings
Confidence in finding a job in a new field
- Just over half of Americans (52%) are extremely (21%) or very (31%) confident they would be able to find the skills/credentials training necessary if they needed to or decided to find a job in a new field. Almost one third (30%) are somewhat confident while almost one in seven (14%) are either not very confident (10%) or not at all confident (4%).
- Roughly one third (36%) are extremely (14%) or very (22%) confident they would be able to find a new job within one year that pays as much or more. Almost one third (31%) are somewhat confident with just over one quarter (27%) being either not very confident (18%) or not confident at all (9%).
Factors impacting confidence in finding a full-time position
- For those who are unemployed but looking for a job the factors impacting finding full time work in order of impact are There are few job openings in my geographic area (31%), I need additional or updated skills (29%), Employers want more experience (28%), There are few job openings in my field/industry (27%), Employers want younger applicants (22%), AI adoption by employers is limiting opportunities in my field/industry (20%), I need reliable, affordable access to the internet (6%), Other (9%).
- One in six feel nothing is impacting their confidence (17%).
Impact of terms used in a job description
- The terms which make Americans aged 18 to 75 much more likely to apply for a job in order of likelihood are high potential (22%), go-getter (20%), high energy (20%), energetic (18%), dynamic (17%), tech-savvy (16%), culture fit (15%), fresh talent (13%), digital-first or digital native (12%), rising star (12%), recent college graduate (10%), startup atmosphere (9%).
- The term which makes Americans much less likely to apply is recent college graduate (37%). This is followed by 11% who are much less likely to apply to a job description with the term digital-first or digital native.
Reasons why certain terms cause less likelihood of applying
- The role seems intended for a different age group was the top reason for being less likely to apply to jobs with eight of the twelve terms presented (fresh talent (68%), recent college graduate (53%), high energy (46%), culture fit (44%), energetic (43%), rising star (42%), dynamic (38%), and go-getter(33%)).
- I would assume I was unqualified is the top reason for the term tech-savvy (74%) and digital-first or digital native (52%).
- The role seems intended for a different career stage is the top reason cited for the terms startup atmosphere (43%) and high potential (33%)
AI Usage
- Two thirds of Americans use AI with 6% using it just for their job, 32% just for personal use, and 29% for both.
- Of those using AI for their job (35%), 27% are extremely comfortable using it and 33% are very comfortable. Less than one in ten (7%) feel they are not very comfortable (6%) or not at all comfortable (1%) using it.
- Almost two in five Americans (39%) are either extremely interested (17%) or very interested (22%) in learning professional skills including generative AI and other digital skills. Roughly three in ten (29%) are somewhat interested and one in three (33%) are either not very interested (16%) or not at all interested (17%).
Agreement with statements regarding working, training, and AI
- Two in five Americans aged 18-75 (40%) either strongly agree (14%) or somewhat agree (26%) with the statement I have the skills and training I need to be successful in an AI-enabled workplace. Twenty-nine percent neither agree nor disagree, while just over three in ten (31%) either somewhat disagree (17%) or strongly disagree (13%).
- Three in ten Americans (30%), strongly agree (7%) or somewhat agree (23%) with the statement it is difficult to find training opportunities to improve my professional skills or learns new ones. Just over one third (36%) either somewhat disagree (23%) or strongly disagree (13%) and 34% neither agree nor disagree.
- For I expect to need to find a new job or a job in a new field within the next 2 years because of AI, almost one quarter (23%) strongly agree (7%) or somewhat agree (16%). One quarter (25%) neither agree nor disagree with just over half (52%) indicating they somewhat disagree (20%) or strongly disagree (32%).
Generational perceptions
- Roughly three quarters (76%) of Americans aged 18-75 agree people assume that older employees are less comfortable with new technology, with 30% indicating they strongly agree and 46% reporting they somewhat agree. Approximately one in six (16%) neither agree nor disagree, while 8% disagree (5% somewhat disagree, 3% strongly disagree).
- Just over three in five (62%) believe that working with colleagues from different generations impacts the work I do positively (21% very positively, 41% positively). In addition, 23% are neutral on the subject and 3% believe the impact is negative (3% negatively, 0% very negatively). Roughly one in eight (12%) stated I do not work with colleagues from other generations.
Satellite broadband
- Seven in ten (71%) Americans aged 18-75 have heard ofsatellite broadband for home internet.
- Of those who have heard of it, one in six (17%) currently use it either as their only home internet service (12%) or along with another type of home internet service (5%). Just over three quarters (76%) do not use it with 42% saying that they would be interested in using it in the future and 34% saying they would not be interested.
These are findings of a CWI Works survey, with data collection provided by Ipsos, conducted between July 16 – July 20, 2026. A sample of 1,842 adults aged 18 to 75 were surveyed online; 1,002 nationally representative surveys were collected as part of the Ipsos omnibus with boosts of 410 additional surveys for California and 430 surveys for Florida. The “Total” reflects the results adjusted to represent the overall United States population in proportion to 2025 census data for age by gender, region, income, and ethnicity. Weights were applied to California and Florida respondents to ensure their proportions of the total sample reflect the U.S. population. The results of this research have a credibility interval of plus or minus 2.8 percentage points for the total United States, +/- 5.4 points for California, and +/- 5.3 points for Florida.
Some of the questions with a reduced base for California and Florida have a low base size (N<100) for and should be interpreted with caution.
For full results, please refer to the following annotated questionnaire:
Full Annotated Questionnaire
| Q1. If you needed to or decided to find a job in a new field, how confident are you that you could do the following ... | |||
| Total | California | Florida | |
| BASE: Total Respondents | (n=1842) | (n=503) | (n=505) |
| Find the skills/credentials training you would need | |||
| Extremely confident | 21% | 19% | 22% |
| Very confident | 31% | 28% | 35% |
| Somewhat confident | 30% | 36% | 29% |
| Not very confident | 10% | 10% | 8% |
| Not at all confident | 4% | 3% | 3% |
| Not sure | 5% | 5% | 3% |
| Find a new job within one year that pays as much or more | |||
| Extremely confident | 14% | 14% | 22% |
| Very confident | 22% | 26% | 24% |
| Somewhat confident | 31% | 31% | 31% |
| Not very confident | 18% | 16% | 12% |
| Not at all confident | 9% | 7% | 7% |
| Not sure | 6% | 6% | 5% |
| Q2. Which factors, if any, are impacting your confidence in finding a full-time position? Select all that apply | |||
| Total | California | Florida | |
| BASE: Unemployed but looking for a job | (n=172) | (n=47)* | (n=46)* |
| There are few job openings in my geographic area | 31% | 32% | 38% |
| I need additional or updated skills | 29% | 18% | 34% |
| Employers want more experience | 28% | 21% | 48% |
| There are few job openings in my field/industry | 27% | 17% | 24% |
| Employers want younger applicants | 22% | 38% | 18% |
| AI adoption by employers is limiting opportunities in my field/industry | 20% | 25% | 29% |
| I need reliable, affordable access to the internet | 6% | 7% | 22% |
| Other (please specify) | 9% | 7% | 4% |
| Nothing is impacting my confidence | 17% | 17% | 23% |
Q3. If you were seeking employment, how would seeing each of the following terms in a job description affect your likelihood of applying for the role? | |||
| Total | California | Florida | |
| BASE: Total Respondents | (n=1842) | (n=503) | (n=505) |
| High energy | |||
| Much more likely | 20% | 22% | 27% |
| Somewhat more likely | 30% | 33% | 34% |
| Neither more nor less likely | 32% | 28% | 25% |
| Somewhat less likely | 13% | 10% | 10% |
| Much less likely | 6% | 7% | 4% |
| Dynamic | |||
| Much more likely | 17% | 19% | 22% |
| Somewhat more likely | 35% | 41% | 39% |
| Neither more nor less likely | 34% | 29% | 28% |
| Somewhat less likely | 10% | 7% | 8% |
| Much less likely | 4% | 4% | 3% |
| Rising star | |||
| Much more likely | 12% | 17% | 19% |
| Somewhat more likely | 28% | 29% | 30% |
| Neither more nor less likely | 37% | 32% | 31% |
| Somewhat less likely | 16% | 13% | 14% |
| Much less likely | 7% | 9% | 5% |
| Digital-first or digital native | |||
| Much more likely | 12% | 14% | 14% |
| Somewhat more likely | 22% | 23% | 25% |
| Neither more nor less likely | 39% | 42% | 36% |
| Somewhat less likely | 17% | 12% | 14% |
| Much less likely | 11% | 9% | 10% |
| Recent college graduate | |||
| Much more likely | 10% | 16% | 12% |
| Somewhat more likely | 13% | 16% | 15% |
| Neither more nor less likely | 23% | 22% | 29% |
| Somewhat less likely | 18% | 19% | 17% |
| Much less likely | 37% | 28% | 27% |
| Energetic | |||
| Much more likely | 18% | 21% | 24% |
| Somewhat more likely | 35% | 39% | 40% |
| Neither more nor less likely | 33% | 28% | 26% |
| Somewhat less likely | 9% | 7% | 9% |
| Much less likely | 4% | 5% | 2% |
| Q3. If you were seeking employment, how would seeing each of the following terms in a job description affect your likelihood of applying for the role? | |||
| (Continued) | Total | California | Florida |
| BASE: Total Respondents | (n=1842) | (n=503) | (n=505) |
| Fresh talent | |||
| Much more likely | 13% | 18% | 20% |
| Somewhat more likely | 27% | 32% | 31% |
| Neither more nor less likely | 34% | 31% | 30% |
| Somewhat less likely | 17% | 13% | 13% |
| Much less likely | 9% | 7% | 7% |
| High potential | |||
| Much more likely | 22% | 26% | 28% |
| Somewhat more likely | 40% | 40% | 38% |
| Neither more nor less likely | 28% | 24% | 24% |
| Somewhat less likely | 7% | 8% | 6% |
| Much less likely | 3% | 3% | 4% |
| Startup atmosphere | |||
| Much more likely | 9% | 14% | 16% |
| Somewhat more likely | 28% | 30% | 29% |
| Neither more nor less likely | 36% | 35% | 37% |
| Somewhat less likely | 16% | 14% | 11% |
| Much less likely | 10% | 8% | 7% |
| Go-getter | |||
| Much more likely | 20% | 22% | 25% |
| Somewhat more likely | 35% | 43% | 42% |
| Neither more nor less likely | 31% | 23% | 22% |
| Somewhat less likely | 10% | 9% | 6% |
| Much less likely | 4% | 4% | 5% |
| Tech-savvy | |||
| Much more likely | 16% | 20% | 21% |
| Somewhat more likely | 30% | 31% | 31% |
| Neither more nor less likely | 32% | 28% | 28% |
| Somewhat less likely | 15% | 14% | 14% |
| Much less likely | 7% | 7% | 7% |
| Culture fit | |||
| Much more likely | 15% | 20% | 20% |
| Somewhat more likely | 29% | 38% | 31% |
| Neither more nor less likely | 37% | 29% | 33% |
| Somewhat less likely | 12% | 8% | 11% |
| Much less likely | 7% | 5% | 5% |
| Q4. Why would the term ___ make you less likely to apply? Select all that apply. | |||
| Total | California | Florida | |
| High energy | |||
| BASE: Term would make respondent less likely to apply | (n=267) | (n=68)* | (n=69)* |
| I would assume I am underqualified. | 19% | 19% | 23% |
| I would assume I am overqualified. | 8% | 14% | 12% |
| The role seems intended for a different age group. | 46% | 44% | 47% |
| The role seems intended for a different career stage. | 28% | 22% | 23% |
| The compensation is likely too low. | 10% | 18% | 10% |
| The role seems to not value work-life balance. | 39% | 25% | 37% |
| Other (please specify): | 8% | 10% | 2% |
| Total | California | Florida | |
| Dynamic | |||
| BASE: Term would make respondent less likely to apply | (n=213) | (n=49)* | (n=57)* |
| I would assume I am underqualified. | 21% | 20% | 30% |
| I would assume I am overqualified. | 8% | 11% | 9% |
| The role seems intended for a different age group. | 38% | 31% | 34% |
| The role seems intended for a different career stage. | 24% | 36% | 24% |
| The compensation is likely too low. | 13% | 6% | 21% |
| The role seems to not value work-life balance. | 21% | 23% | 24% |
| Other (please specify): | 10% | 8% | 3% |
| Total | California | Florida | |
| Rising star | |||
| BASE: Term would make respondent less likely to apply | (n=312) | (n=86)* | (n=84)* |
| I would assume I am underqualified. | 18% | 18% | 22% |
| I would assume I am overqualified. | 11% | 14% | 12% |
| The role seems intended for a different age group. | 42% | 39% | 57% |
| The role seems intended for a different career stage. | 39% | 42% | 36% |
| The compensation is likely too low. | 14% | 10% | 9% |
| The role seems to not value work-life balance. | 17% | 17% | 14% |
| Other (please specify): | 6% | 7% | 2% |
| Total | California | Florida | |
| Digital-first or digital native | |||
| BASE: Term would make respondent less likely to apply | (n=361) | (n=78)* | (n=102) |
| I would assume I am underqualified. | 52% | 47% | 49% |
| I would assume I am overqualified. | 5% | 5% | 2% |
| The role seems intended for a different age group. | 33% | 24% | 32% |
| The role seems intended for a different career stage. | 22% | 24% | 21% |
| The compensation is likely too low. | 5% | 12% | 9% |
| The role seems to not value work-life balance. | 9% | 2% | 13% |
| Other (please specify): | 6% | 6% | 6% |
| Q4. Why would the term ___ make you less likely to apply? Select all that apply. | |||
| (Continued) | Total | California | Florida |
| Recent college graduate | |||
| BASE: Term would make respondent less likely to apply | (n=782) | (n=189) | (n=200) |
| I would assume I am underqualified. | 21% | 26% | 29% |
| I would assume I am overqualified. | 21% | 22% | 17% |
| The role seems intended for a different age group. | 53% | 48% | 41% |
| The role seems intended for a different career stage. | 39% | 38% | 35% |
| The compensation is likely too low. | 18% | 15% | 13% |
| The role seems to not value work-life balance. | 6% | 12% | 10% |
| Other (please specify): | 5% | 5% | 7% |
| Total | California | Florida | |
| Energetic | |||
| BASE: Term would make respondent less likely to apply | (n=203) | (n=51)* | (n=53)* |
| I would assume I am underqualified. | 18% | 12% | 28% |
| I would assume I am overqualified. | 9% | 11% | 13% |
| The role seems intended for a different age group. | 43% | 54% | 37% |
| The role seems intended for a different career stage. | 22% | 30% | 42% |
| The compensation is likely too low. | 12% | 20% | 14% |
| The role seems to not value work-life balance. | 33% | 36% | 24% |
| Other (please specify): | 4% | 10% | 3% |
| Total | California | Florida | |
| Fresh talent | |||
| BASE: Term would make respondent less likely to apply | (n=310) | (n=70)* | (n=72)* |
| I would assume I am underqualified. | 12% | 11% | 23% |
| I would assume I am overqualified. | 28% | 22% | 26% |
| The role seems intended for a different age group. | 68% | 59% | 53% |
| The role seems intended for a different career stage. | 46% | 32% | 37% |
| The compensation is likely too low. | 23% | 14% | 15% |
| The role seems to not value work-life balance. | 3% | 7% | 13% |
| Other (please specify): | 5% | 3% | 2% |
| Total | California | Florida | |
| High potential | |||
| BASE: Term would make respondent less likely to apply | (n=187) | (n=50)* | (n=53)* |
| I would assume I am underqualified. | 28% | 35% | 22% |
| I would assume I am overqualified. | 9% | 12% | 17% |
| The role seems intended for a different age group. | 24% | 23% | 36% |
| The role seems intended for a different career stage. | 33% | 26% | 45% |
| The compensation is likely too low. | 18% | 16% | 23% |
| The role seems to not value work-life balance. | 17% | 16% | 18% |
| Other (please specify): | 9% | 2% | 0% |
| Q4. Why would the term ___ make you less likely to apply? Select all that apply. | |||
| (Continued) | Total | California | Florida |
| Startup atmosphere | |||
| BASE: Term would make respondent less likely to apply | (n=319) | (n=86)* | (n=74)* |
| I would assume I am underqualified. | 12% | 20% | 14% |
| I would assume I am overqualified. | 14% | 9% | 10% |
| The role seems intended for a different age group. | 34% | 31% | 41% |
| The role seems intended for a different career stage. | 43% | 36% | 26% |
| The compensation is likely too low. | 39% | 19% | 28% |
| The role seems to not value work-life balance. | 36% | 29% | 22% |
| Other (please specify): | 8% | 14% | 2% |
| Total | California | Florida | |
| Go-getter | |||
| BASE: Term would make respondent less likely to apply | (n=209) | (n=55)* | (n=52)* |
| I would assume I am underqualified. | 19% | 22% | 10% |
| I would assume I am overqualified. | 11% | 18% | 26% |
| The role seems intended for a different age group. | 33% | 25% | 21% |
| The role seems intended for a different career stage. | 26% | 21% | 39% |
| The compensation is likely too low. | 15% | 21% | 13% |
| The role seems to not value work-life balance. | 37% | 22% | 30% |
| Other (please specify): | 7% | 14% | 0% |
| Total | California | Florida | |
| Tech-savvy | |||
| BASE: Term would make respondent less likely to apply | (n=324) | (n=72)* | (n=94)* |
| I would assume I am underqualified. | 74% | 61% | 67% |
| I would assume I am overqualified. | 4% | 8% | 6% |
| The role seems intended for a different age group. | 18% | 15% | 21% |
| The role seems intended for a different career stage. | 20% | 22% | 25% |
| The compensation is likely too low. | 4% | 5% | 14% |
| The role seems to not value work-life balance. | 7% | 9% | 8% |
| Other (please specify): | 4% | 2% | 7% |
| Total | California | Florida | |
| Culture fit | |||
| BASE: Total Respondents | (n=266) | (n=62)* | (n=70)* |
| I would assume I am underqualified. | 12% | 30% | 10% |
| I would assume I am overqualified. | 10% | 11% | 8% |
| The role seems intended for a different age group. | 44% | 25% | 35% |
| The role seems intended for a different career stage. | 18% | 25% | 30% |
| The compensation is likely too low. | 5% | 7% | 12% |
| The role seems to not value work-life balance. | 24% | 12% | 15% |
| Other (please specify): | 19% | 9% | 9% |
| Q5. Have you used generative AI tools such as ChatGPT, Claude, Gemini, Co-Pilot, etc., for your job or for personal use? | |||
| Total | California | Florida | |
| BASE: Total Respondents | (n=1842) | (n=503) | (n=505) |
| Yes - for my job | 6% | 9% | 9% |
| Yes - for personal use | 32% | 33% | 34% |
| Yes - for both | 29% | 33% | 28% |
| No | 31% | 24% | 26% |
| Not sure | 2% | 2% | 2% |
| Q6. How comfortable are you using generative AI for your job? | |||
| Total | California | Florida | |
| BASE: Have used AI for their job | (n=604) | (n=197) | (n=167) |
| Extremely comfortable | 27% | 30% | 41% |
| Very comfortable | 33% | 32% | 34% |
| Somewhat comfortable | 33% | 29% | 21% |
| Not very comfortable | 6% | 8% | 3% |
| Not at all comfortable | 1% | 1% | 1% |
| Not sure | 0% | 0% | 0% |
| Q7. How interested are you in learning professional skills including generative AI and other digital skills (things like coding, Excel, etc.)? | |||
| Total | California | Florida | |
| BASE: Total Respondents | (n=1842) | (n=503) | (n=505) |
| Extremely interested | 17% | 19% | 21% |
| Very interested | 22% | 25% | 22% |
| Somewhat interested | 29% | 33% | 27% |
| Not very interested | 16% | 9% | 15% |
| Not at all interested | 17% | 13% | 15% |
| [NO Q8] | |||
| Q9. How much do you agree or disagree with the following statements: | |||
| Total | California | Florida | |
| BASE: Total Respondents | (n=1842) | (n=503) | (n=505) |
| It is difficult to find training opportunities to improve my professional skills or learn new ones | |||
| Strongly agree | 7% | 9% | 12% |
| Somewhat agree | 23% | 28% | 24% |
| Neither agree nor disagree | 34% | 32% | 31% |
| Somewhat disagree | 23% | 19% | 23% |
| Strongly disagree | 13% | 11% | 10% |
| Q9. How much do you agree or disagree with the following statements: | |||
| (Continued) | Total | California | Florida |
| BASE: Total Respondents | (n=1842) | (n=503) | (n=505) |
| I have the skills and training I need to be successful in an AI-enabled workplace | |||
| Strongly agree | 14% | 16% | 20% |
| Somewhat agree | 26% | 29% | 30% |
| Neither agree nor disagree | 29% | 30% | 26% |
| Somewhat disagree | 17% | 14% | 12% |
| Strongly disagree | 13% | 11% | 12% |
| I expect to need to find a new job or a job in a new field within the next 2 years because of AI | |||
| Strongly agree | 7% | 9% | 12% |
| Somewhat agree | 16% | 21% | 20% |
| Neither agree nor disagree | 25% | 29% | 24% |
| Somewhat disagree | 20% | 16% | 16% |
| Strongly disagree | 32% | 25% | 28% |
| People assume that older employees are less comfortable with new technology | |||
| Strongly agree | 30% | 30% | 31% |
| Somewhat agree | 46% | 38% | 40% |
| Neither agree nor disagree | 16% | 20% | 17% |
| Somewhat disagree | 5% | 9% | 8% |
| Strongly disagree | 3% | 4% | 4% |
| Q10. I believe that working with colleagues from different generations impacts the work I do: | |||
| Total | California | Florida | |
| BASE: Total Respondents | (n=1842) | (n=503) | (n=505) |
| Very positively | 21% | 25% | 26% |
| Positively | 41% | 38% | 37% |
| Neutral | 23% | 26% | 20% |
| Negatively | 3% | 2% | 4% |
| Very negatively | 0% | 0% | 1% |
| I do not work with colleagues from other generations | 12% | 9% | 12% |
| Q11. Have you heard of satellite broadband for home internet (internet delivered via satellites, such as services like Starlink, HughesNet, or Viasat)? | |||
| Total | California | Florida | |
| BASE: Total Respondents | (n=1842) | (n=503) | (n=505) |
| Yes | 71% | 68% | 70% |
| No | 20% | 23% | 19% |
| Not sure | 9% | 9% | 10% |
| Q12. Which of the following best describes you when it comes to using satellite broadband for home internet? | |||
| Total | California | Florida | |
| BASE: Have heard of satellite broadband for home internet | (n=1228) | (n=331) | (n=319) |
I currently use satellite broadband, and it is my only home internet service | 12% | 18% | 18% |
I currently use satellite broadband along with another type of home internet service | 5% | 9% | 10% |
I do not use satellite broadband at home but would be interested in using it in the future | 42% | 46% | 47% |
I do not use satellite broadband at home and am not interested in using it in the future | 34% | 22% | 22% |
| Not sure | 6% | 5% | 3% |
About the Study:
This CWI Works study, with data collection by Ipsos was conducted between July 16 and July 20, 2026, among an online sample of 1,842 adults aged 18 to 75 or older in the United States; 1002 surveys were collected as part of the Ipsos United States omnibus program, where questions on various topics are included in one interview and clients share demographic information collected. Boosts of 410 additional surveys for California and 430 surveys for Florida were also collected. For this survey, post-hoc weights were made to the population characteristics on age, gender, region, income, and ethnicity.
The sample was randomly drawn from Ipsos’ online panel, partner online panel sources, and “river” sampling and does not rely on a population frame in the traditional sense.
The data is weighed using standard procedures such as raking-ratio adjustments, so the composition of each country's sample best reflects the demographic profile of the adult population according to the most recent census data. Population characteristics for age, gender, household income, region, and ethnicity, where applicable, were used in weighting schemes on a country level. The “Total” reflects the result for all the countries and has not been adjusted to the population size of each country.
When percentages do not sum up to 100 or the 'difference' appears to be +/-1 percentage point more/less than the actual result, this may be due to rounding, or multiple responses.
The precision of Ipsos online polls is calculated using a credibility interval with a poll where n=1,000 being accurate to +/-3.5 percentage points and +/- 1.5 percentage points when n=4,000.
Some of the questions with a reduced base for California and Florida have a low base size (N<100) for and should be interpreted with caution.
About Ipsos
Ipsos is one of the largest market research and polling companies globally, operating in 90 markets and employing nearly 20,000 people.
Our passionately curious research professionals, analysts and scientists have built unique multi-specialist capabilities that provide true understanding and powerful insights into the actions, opinions and motivations of citizens, consumers, patients, customers or employees. Our 75 business solutions are based on primary data from our surveys, social media monitoring, and qualitative or observational techniques.
“Game Changers” – our tagline – summarizes our ambition to help our 5,000 clients navigate with confidence our rapidly changing world.
Founded in France in 1975, Ipsos has been listed on the Euronext Paris since July 1, 1999. The company is part of the SBF 120, Mid-60 indices, and is eligible for the Deferred Settlement Service (SRD).
ISIN code FR0000073298, Reuters ISOS.PA, Bloomberg IPS:FP
35 rue du Val de Marne
75 628 Paris, Cedex 13 France
Tel. +33 1 41 98 90 00
