Weekly Unemployment Claims: Up 23K

Here is the opening statement from the Department of Labor:

SEASONALLY ADJUSTED DATA

In the week ending February 12, the advance figure for seasonally adjusted 7 , 2022 initial claimswas 248,000, an increase of 23,000 from the previous week's revised level. The previous week's level was revised up by 2,000 from 223,000 to 225,000. The 4 week movin g average was 243,250, a decrease of 10,500 from the previous week's revised average. The previous week's average was revised up by 500 from 253,250 to 253,750.

The advance seasonally adjusted insured unemployment rate was 1.2 percent for the week ending unchanged from the previous week's unrevised rate. The advance number for seasonally adjusted unemployment February 5, insured during the week ending February 5 was 1,593,000, a decrease of 26,000 from the previous week's revised level. The previous week's level was revised down by 2,000 from 1,621,000 to 1,619,000. The 4 week moving average was 1,626,250, a decrease of 7,750 from the previous week's revised average. The previous week's average was revised down by 500 from 1,634,500 to 1,634,000. [See full report]

This morning's seasonally adjusted 248K new claims, up 23K from the previous week's figure, was above the Investing.com forecast of 219K.

Here is a close look at the data over the decade (with a callout for the past year), which gives a clearer sense of the overall trend.

As we can see, there's a good bit of volatility in this indicator, which is why the 4-week moving average (the highlighted number) is a more useful number than the weekly data. Here is the complete data series.

Here's a copy of the above chart, but zoomed in, so the COVID spike isn't as prominent. We'll be adding a few more of these "zoomed in" looks in the coming weeks.

The headline Unemployment Insurance data is seasonally adjusted. What does the non-seasonally adjusted data look like? See the chart below, which clearly shows the extreme volatility of the non-adjusted data (the red dots). The 4-week MA gives an indication of the recurring pattern of seasonal change (note, for example, those regular January spikes).

Because of the extreme volatility of the non-adjusted weekly data, we can add a 52-week moving average to give a better sense of the secular trends. The chart below also has a linear regression through the data.

Here's a look at a sample of year's claims going back to 2009.

For an analysis of unemployment claims as a percent of the labor force, see this regularly updated piece The Civilian Labor Force, Unemployment Claims and the Business Cycle. Here is a snapshot from that analysis.