Washington, DC, June 16, 2021 — A new Ipsos poll finds that as the country emerges from the pandemic, usage of 3rd party delivery companies has remained relatively the same over the last two months. Three in ten Americans are using these delivery companies more since the pandemic started, and close to four in ten say that they will continue to use them the same amount once receiving the COVID-19 vaccine. Delivery company usage remains stable amid a rise of people dining in at restaurants. The poll also finds that for a majority of people using delivery apps, the price of a typical entrée they order is between $10 and $19.99, and convenience is the most popular reason for delivery app usage.
1. One-third of Americans report using 3rd party delivery companies at least some of the time, essentially unchanged from two months ago (38%).
- Younger Americans are most likely to use 3rd party delivery apps some of the time, while older Americans are least likely to do so.
- Those with children in the household are more likely to use delivery companies at least some of the time than those without children (46% vs. 31%).
2. More than three in ten Americans report using 3rd party delivery companies more since the pandemic started.
- Twenty-three percent say they are using them the same amount.
- Those that live in urban areas (44%) are more likely than those in suburban (31%) and rural areas (18%) to have increased their usage since the pandemic started.
- In addition, thirty-seven percent say they will use delivery companies the same amount after they receive the COVID-19 vaccine; one in ten say they will use them more.
3. While usage for delivery companies is stable, significantly more people are dining in at restaurants.
- Fifty-seven percent now say they are dining in at restaurants at least some of the time, compared to just 38% two months ago.
- Full-time workers are more likely than those that are unemployed to be dining in at restaurants.
4. Among delivery app users, six in ten say that the typical price of an entrée they order is between $10 and $20.
- Income is related to the amount that people typically spend. Unemployed Americans (20%) and those that make less than $50K (19%) are most likely to order entrées less than $10.
- Forty-two percent say that 10-20% is a fair tip for a delivery driver on a $50 order; 37% say up to 10% is a fair tip.
- Those ages 55+ (56%) are more likely than those ages 18-34 (37%) to say that between 10% and 20% is a fair tip.
- On the other hand, Northeasterners (21%) and Midwesterners (15%) are more likely to say that a larger tip of between 20% and 30% is a fair tip than Westerners (4%).
5. Nearly eight in ten delivery app users say they are willing to wait between 30 minutes and 1 hour for their order to be delivered.
- Retirees are the group with the shortest patience, as 30% say they are only willing to wait up to 30 minutes for their order to be delivered, compared to 17% of full-time workers.
- Along these lines, 87% agree that the wait times for deliveries are reasonable; suburban dwellers (90%) are more likely than urban dwellers (81%) to agree.
6. Convenience is the biggest reason that delivery app users choose to use them, followed by saving time, the ability to track an order in real time and ease of payment.
- Women (68%) are more likely than men (54%) to report using delivery apps for convenience.
- Those ages 18-34 (50%) are more likely than those ages 55+ (35%) to use delivery apps to save time.
- Those with a college degree (41%) are more likely than those without a degree (28%) to say they use them for ease of payment.
- Among types of cuisine, American (65%), Mexican (59%) and Chinese (58%) were the most popular.
About the Study
These are some of the findings of an Ipsos poll conducted between April 29-30, 2021. 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 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. 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 2018 American Community Survey data. The sample drawn for this study reflects fixed sample targets on demographics. Post-hoc 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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