As hospitalizations and deaths proceed to rise, some public well being officers are calling for a nationwide lockdown to assist management the pandemic. That features Michael Osterholm, a member of President-elect Joe Biden’s COVID-19 advisory board, who is looking for a six- to eight-week nationwide shutdown.
The short-term penalties can be staggering: Simply take a look at March and April, when the jobless rate soared from 4.4% to 14.7%. Is that one thing Individuals might abdomen once more? To search out out, Fortune and SurveyMonkey polled 2,247 U.S. adults between Nov. 30 and Dec. 1.
We discovered that amongst U.S. adults, 58% help a nationwide “keep at residence” order, during which everybody within the nation is required to stay of their residence aside from important providers. In the meantime, 40% of the general public opposes such an order.
That help is hanging contemplating the financial harm attributable to state-issued shutdowns within the spring. It additionally speaks to how involved Individuals stay in regards to the pandemic. Nevertheless, that help stage is down from 65% in a Fortune-SurveyMonkey ballot in September.
Maybe not surprisingly, we discovered an enormous political divide. Nearly all of Democrats (87%) and Independents (67%) help a nationwide stay-at-home order. In the meantime, solely 24% of Republicans would help such an motion.
And there’s a cut up amongst completely different earnings teams: Whereas 70% of Individuals incomes $15,000 to $29,999 would help such a measure, solely 50% of U.S. adults incomes over $150,000 would again it.
There’s no clear purpose for the divide, however a few of it might come all the way down to higher-income earners remembering how shortly shares crashed in March on the onset of the spring lockdowns. And lower-paid staff is perhaps extra cautious given the truth that their jobs typically contain face-to-face contact with most of the people.
*Methodology: The Fortune-SurveyMonkey ballot was carried out amongst a nationwide pattern of two,247 adults within the U.S. between Nov. 30 and Dec. 1. This survey’s modeled error estimate is plus or minus 3 proportion factors. The findings have been weighted for age, race, intercourse, training, and geography.
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