#HARASSED ON THE JOB FULL#

There are also differences when it comes to earning money through two or more types of gig jobs. Hispanic adults are also more likely to report they have ever performed household tasks or run errands through gig work platforms than are Black, White or Asian adults.

For example, 16% of Hispanic adults say they have ever made deliveries from a restaurant or store for a delivery app, compared with one-in-ten Black adults, 7% of Asian adults and 4% of White adults. While racial and ethnic gaps are present in each type of gig job measured in this survey, there are some tasks where these differences are more pronounced. Even among adults under the age of 50, Hispanic (34%) or Black Americans (27%) are more likely than those who are White (16%) to have earned money via an online gig platform. And while younger generations tend to be more racially and ethnically diverse compared with older ones, age alone does not fully account for the racial and ethnic gaps present within this workforce. Taking on gig jobs also varies substantially by age, with adults under age 50 about twice as likely as those ages 50 and older to have ever done this type of work (22% vs. Hispanic adults are more likely than other racial or ethnic groups to have done gig work: 30% of this group have ever earned money through an online gig platform, compared with 20% of Black adults, 19% of Asian adults and even smaller shares of White adults (12%). The use of a NET non-White category is not intended to obscure the fact that the experiences and behaviors of Black Americans, Hispanic Americans, and Americans of other races and ethnicities may be quite different. When possible, the Center prefers to break out subgroups to show the differences that may exist between groups of people. The combined category is used so that broad comparisons can be made to highlight differences between groups. It is the unit of analysis for findings among gig platform workers because the sample sizes for some of the non-White categories are too small to analyze individually. The NET non-White category for gig platform workers includes those who identify as Black, Asian, Hispanic, some other race or multiple races. A note about the non-White sample for gig platform workers We are also not able to analyze Asian American respondents by demographic categories, such as gender, age or educational attainment. Because of the relatively small sample size and a reduction in precision due to weighting, results are not shown separately for Asian Americans for questions that were only asked of a random half of respondents (Form 1/Form 2) or some filtered questions.

#HARASSED ON THE JOB FULL#

Asian Americans are shown as a separate group when the question was asked of the full sample. As always, Asian Americans’ responses are incorporated into the general population figures throughout this report. Despite this limitation, it is important to report the views of Asian Americans on the topics in this study. The sample includes English-speaking Asian adults only and, therefore, may not be representative of the overall Asian American population. This survey includes a total sample size of 361 Asian Americans. In all, 16% of Americans have ever earned money in at least one of these ways and are considered “gig platform workers” in this analysis. Using a personal vehicle to deliver packages to others via a mobile app or website such as Amazon Flex.Making deliveries from a restaurant or store for a delivery app (such as DoorDash or UberEats).Performing household tasks like cleaning someone’s home or assembling furniture, or running errands like picking up dry cleaning (such as TaskRabbit or Angi).Shopping for or delivering groceries or household items (such as Instacart or Peapod).

Driving for a ride-hailing app (such as Uber or Lyft).

Pew Research Center measured Americans’ experience with gig platform jobs by asking if they had ever earned money by using certain types of mobile apps or websites to do any of the following: A note about who is considered a ‘gig platform worker’ in this analysis Here are the questions used for this analysis, along with responses, and its methodology. adult population by gender, race, ethnicity, partisan affiliation, education and other categories. The survey is weighted to be representative of the U.S. 23 to 29, 2021.Įveryone who took part in the survey is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. For this analysis of the differences among gig workers by race and ethnicity, we surveyed 10,348 U.S. Pew Research Center conducted this study to understand Americans’ experiences and attitudes related to earning money from online gig platforms.

Harassed on the job