55% Know of Local Businesses Unable to Hire As Many Workers As They Need

Fifty-five percent (55%) of voters know of local businesses that are unable to hire as many workers as they need.  A Scott Rasmussen national survey found that 24% do not know of any such businesses in their area while 20% are not sure.

The survey also found that 59% say businesses in their area are hiring people while just 10% say they are laying people off. Sixteen percent (16%) report that neither is happening in their area and 15% are not sure.

Under normal circumstances, that strong awareness of companies hiring would be a very positive economic indicator. The numbers are more positive than ever before recorded in a Scott Rasmussen survey. However, it is more difficult to interpret those results in light of the fact that a majority of voters know of businesses that can’t find enough workers.

Data released earlier showed that 57% of voters favor making the Trump tax cuts permanent.

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Note: Neither Scott Rasmussen, ScottRasmussen.com, nor RMG Research, Inc. have any affiliation with Rasmussen Reports. While Scott Rasmussen founded that firm, he left more than seven years ago and has had no involvement since that time.

Question 1:

Generally speaking, are businesses in your area hiring people or laying people off?

59%    Hiring

10%    Laying off

16%    Neither

15%    Not sure

Question 2:

Do you know of any local businesses that are unable to hire as many workers as they need?

55%    Yes

24%    No

20%    Not sure

Methodology

The survey of 1,000 Registered Voters was conducted online by Scott Rasmussen on January 6-7, 2022. Field work for the survey was conducted by RMG Research, Inc. Certain quotas were applied, and the sample was lightly weighted by geography, gender, age, race, education, internet usage, and political party to reasonably reflect the nation’s population of Registered Voters. Other variables were reviewed to ensure that the final sample is representative of that population.

The margin of sampling error for the full sample is +/- 3.1 percentage points.

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