![]() The only finding partially not related to survey data is related to working conditions of freelancers (last finding) because University of Hertfordshire used descriptive interviews as an additional data collection method in their research. The main data collection method for all reports has been conducting surveys, ranging from 1,000+ to 20,000+ participants. The publications we used in our own research have been done by the following organizations: Upwork, University of Hertfordshire, Payoneer, Edison Research,, Mastercard, Prudential and MBO Partners.ĭata collection process for all the reports used has been consistent which is the main reason for our selection of multiple reports to produce the results of our study. 42%).įor our study, we have analyzed reports on the gig economy published by several major international organizations whose expertise on the topic can be confirmed by their business activities.Īll the reports used have been published in the last 3 years for accuracy purposes. 39 Authors calculations based on European Union Statistics on Income and Living Conditions. To confirm results of the interviews with some data, report published by Prudential offers an outlook of how different traditional workers and freelancers are in terms of financial/health insurance, at least in the US.Īccording to the report, over half (54%) of gig workers do not have access to employer-based benefits.įurthermore, gig workers have less than half the access to employer-based coverage than that of full-time employees in terms of health insurance (40% vs. It is safe to assume that gig work is here for the long run. Some of these were linked to working long hours, including long and unpredictable waiting periods (for which they were not paid). Interviews revealed a range of physical and psycho-social health hazards. ![]() Study conducted by University of Hertfordshire examined working conditions of freelancers by conducting 13 descriptive interviews as part of their research information gathering. This is not unexpected considering the contractual nature of gig work where financial and health benefits are usually not part of the agreement. Working conditions of gig workers worldwide have not caught up to the working conditions of traditional full-time employees yet. This shows that freelancers in the US are on average earning more than general population which can probably give some reasoning as to why there is such a strong US gig workforce and such a massive contribution of the US to the global gig economy. This tells us that there is disproportionate division of capital in the gig economy since majority of the population is earning less than average, which is due to age and work experience.įurthermore, in US ( according to Upwork), the median freelancer rate is $20/hour, compared to an $18.80/hour median for the entire US workforce.įurthermore, median income for freelancers in skilled services is $28/hour. We can also see that these age groups account for 69% of the total gig worker population. ![]() To benefit policymakers, labour market researchers and the general public, our results are published in an interactive online visualisation which is updated daily.We can see that the younger generations are paid less than the world average, with income steadily rising as the age groups progress.Īge groups of 18-24 and 25-34 are earning $16 and $19 per hour respectively, which is lower than the worldwide average. We also demonstrate how it can be used to address previously unanswered questions about the online gig economy. The purpose of this article is to introduce the OLI and describe the methodology behind it. It measures the utilization of online labour across countries and occupations by tracking the number of projects and tasks posted on major online gig platforms in near-real time. ![]() Nevertheless, there are some data and statistics on the gig economy. ![]() #Gigeconomy online statistics Offlinerates and mass layoff events from the Bureau of Labor Statistics. At the present moment, individuals can work both offline and online and be engaged. We present the Online Labour Index (OLI), an experimental economic indicator that approximates the conventional labour market statistic of new open vacancies. Online gig economy platforms maintain low barriers to entry, and they enable flexible. Yet the scale and scope of these changes is hard to assess, because conventional labour market statistics and economic indicators are ill-suited to measuring this “online gig work”. Labour markets are thought to be in the midst of a dramatic transformation, where standard employment is increasingly supplemented or substituted by temporary work mediated by online platforms. ![]()
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