Table 1

Demographic characteristics by entry timing of apps

CharacteristicCapitalsTransport sectorDriverSE driver
12m before UberX12m after UberX12m before UberX12m after UberX12m before UberX12m after UberX12m before UberX12m after UberX
GenderMale47%48%86%90%*93%93%92%93%
Female53%52%14%10%*7%7%8%7%
ColorWhite47%45%*41%38%49%43%*53%44%**
Black and Indigenous53%55%*59%62%51%57%*47%56%**
EducationIncomplete middle education32%30%20%18%21%16%21%15%*
Complete middle education15%14%20%18%20%14%***20%14%**
Complete secondary education31%31%*54%58%54%60%***52%60%**
Complete higher education22%24%***6%7%6%10%***6%11%*
Ocupational typesEmployee69%66%***54%50%17%16%**
Employer4%5%3%1%***5%0%**
Self-employed20%23%***43%49%**78%83%***100%100%
Others6%6%0%0%0%0%0%0%
SE driverSE Driver 1 Job98%97%
SE Driver 2 Job2%3%
AgeAverage age343541424543*4643***
IncomeAverage income (R$)3,8273,7962,9712,683**3,5833,0343,6103,117***
Average income per hour (R$/h)161810111212**1213*
Social security contributionYes73%72%67%66%53%52%*48%48%*
No27%28%33%34%47%48%*52%52%*

Note(s): *p < 0.1, **p < 0.05 and ***p < 0.01 represent statistical significance levels based on a Student’s t-test for means

Source(s): Authors’ own elaboration with data from PNAD-C/IBGE

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