Here is the opening statement from the Department of Labor:

SEASONALLY ADJUSTED DATA

In the week ending February 6, the advance figure for seasonally adjusted initial claims was 793,000, a decrease of 19,000 from the previous week's revised level. The previous week's level was revised up by 33,000 from 779,000 to 812,000. The 4-week moving average was 823,000, a decrease of 33,500 from the previous week's revised average. The previous week's average was revised up by 8,250 from 848,250 to 856,500.

The advance seasonally adjusted insured unemployment rate was 3.2 percent for the week ending January 30, a decrease of 0.1 percentage point from the previous week's revised rate. The previous week's rate was revised up by 0.1 from 3.2 to 3.3 percent. The advance number for seasonally adjusted insured unemployment during the week ending January 30 was 4,545,000, a decrease of 145,000 from the previous week's revised level. The previous week's level was revised up 98,000 from 4,592,000 to 4,690,000. The 4-week moving average was 4,748,750, a decrease of 157,500 from the previous week's revised average. The previous week's average was revised up by 24,500 from 4,881,750 to 4,906,250. [See full report]

This morning's seasonally adjusted 793K new claims, down from the previous week's upwardly revised figure, was worse than the Investing.com forecast of 757K.

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.

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 each 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.