Washington, DC, April 6, 2020 -- A new Newsy/Ipsos poll finds that over half of sharing economy (such as ride sharing, car sharing, and clothing rental) consumers have used these services less in the past two weeks than they normally would. Once coronavirus-related quarantine guidelines are lifted, a larger number say they will use these services less, not more, than they did before.
- Once the coronavirus outbreak recedes, a quarter of sharing economy users plan to utilize theses services less than before.
- Forty percent of Americans report using services like ride sharing or clothing rental. More than half (54%) are currently using them less than they normally would.
- Among these users, 26% plan to use them less than they did before the coronavirus outbreak, compared to 19% who plan to use them more. Half (49%) do not anticipate a change in their usage.
- Men and women differ on their plans for sharing economy services. Men are more likely than women say they will use these services more than before the COVID-19 pandemic.
About the Study
These are some of the findings of an Ipsos poll conducted between April 1-2, 2020, on behalf of Newsy. For this survey, a sample of 1,005 adults age 18+ from the continental U.S., Alaska, and Hawaii was interviewed online in English.
The sample for this study was randomly drawn from Ipsos’ online panel (see link below for more info on “Access Panels and Recruitment”), partner online panel sources, and “river” sampling (see link below for more info on the Ipsos “Ampario Overview” sample method) and does not rely on a population frame in the traditional sense. Ipsos uses fixed sample targets, unique to each study, in drawing a sample. After a sample has been obtained from the Ipsos panel, Ipsos calibrates respondent characteristics to be representative of the U.S. Population using standard procedures such as raking-ratio adjustments. The source of these population targets is U.S. Census 2016 American Community Survey data. The sample drawn for this study reflects fixed sample targets on demographics. Posthoc weights were made to the population characteristics on gender, age, race/ethnicity, region, and education.
Statistical margins of error are not applicable to online non-probability polls. All sample surveys and polls may be subject to other sources of error, including, but not limited to coverage error and measurement error. Where figures do not sum to 100, this is due to the effects of rounding. The precision of Ipsos online polls is measured using a credibility interval. In this case, the poll has a credibility interval of plus or minus 3.5 percentage points for all respondents. Ipsos calculates a design effect (DEFF) for each study based on the variation of the weights, following the formula of Kish (1965). This study had a credibility interval adjusted for design effect of the following (n=1,005, DEFF=1.5, adjusted Confidence Interval=+/-5.0 percentage points).
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