Then, because it might be interesting, I divide the unemployment rate by the number of millions unemployed:
Graph #1: Unemployment Rate per Million Out of Work |
Here's something odd: Take the first graph, put a second line on it, and have the second line show the inverse: Turn the ratio upside down.
Graph #2: Rate-to-Level (blue) and Level-to-Rate |
Anyway, these days, throw a million people out of work and it adds about 0.6 to the unemployment rate.
These days, for each 1% the unemployment rate goes up, figure it means an additional 1.6 million people are out of work. So when the unemployment rate increased by 0.9, from 3.5% to 4.4%, it meant that 0.9 times 1.6 million people -- about 1.44 million people -- had lost their jobs.
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Yahoo Finance, 17 April 2020:
"At least 22 million people have filed for unemployment benefits in the last four weeks."
Okay. If my ballpark calculation is right -- though I know it is very rough -- throwing a million people out of work adds about 0.6 to the unemployment rate.
Throwing 22 million people out of work adds about 13.2% to the unemployment rate.
If we're starting at 3.5% and add 13.2, that's 16.7% unemployment. If we're starting at 4.4% and add 13.2, that's 17.6% unemployment.
February = 3.5%
March = 4.4%
April = ?
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