Table 1.
Summary statistics
Variable | Value | N |
---|---|---|
Socio-demographics | ||
Non-White | 0.15 | 1006 |
Male | 0.44 | 1006 |
New York-California | 0.54 | 1006 |
Elderly | 0.39 | 1006 |
Health | ||
Pre-existing condition | 0.45 | 1006 |
Housing | ||
Urban | 0.41 | 1006 |
Home w/o open air access | 0.15 | 1006 |
Elderly exposure | 0.46 | 1006 |
Work arrangements and losses | ||
Working | 0.70 | 990 |
Full-time | working | 0.54 | 701 |
Part-time | working | 0.14 | 701 |
Can work from home | working | 0.82 | 701 |
Stopped working | working | 0.38 | 701 |
Tele-working | working | 0.34 | 701 |
Still working | working | 0.20 | 701 |
Mean income quintile | 3.11 | 1006 |
Mean lost HH. income ($1000) | 0.77 | 475 |
Beliefs and perceptions | ||
Mean belief social distancing effectiveness {1–5} | 3.99 | 1006 |
Mean local infection rate | 0.24 | 971 |
Benefits from pandemic | 0.84 | 1006 |
Outcomes | ||
Changed behavior | 0.88 | 1006 |
Increased SD | 0.54 | 824 |
Increased hand washing-mask wearing | 0.71 | 933 |
N | 1006 |
Summary statistics for characteristics of individuals for the entire US sample. The first column lists the probability that a randomly drawn individual has the listed characteristic or the mean value of the variable from the sample. The exceptions are full-time, part-time, work from home, stopped working, tele-working, and still working, which were computed among the sample of respondents that were observed working. The second column lists the total number of observations for which that variable had a non-missing value