Unemployment Rate Facts

POSTED BY: JEWELSTAITEFAN
UPDATED: Saturday, September 5, 2026 13:19
VIEWED: 54220
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JEWELSTAITEFAN

Friday, May 3, 2019 6:41 PM

The shadowstats site is lean on actual data, requiring a subscription to access what it claims as database.
However, I will make attempt to add in some of the data it presents. This does make assumption that their methodology and counting methods are valid, which I cannot find clear information about.
There also may be comingling of Seasonally Adjusted figures from shadowstats without clarity, but this will be the only series of Tables I post which veer from Not Seasonally Adjusted figures.

The charts they present do show that Unemployment under Trump is better than any time under Obamanomics, so it may be a worthwhile endeavor to investigate.




I will refer to this set of data as Table JSF-URF-5


I will post some actual numbers and let the comparisons and discussion follow. The documented shenanigans of Obamabots deliberately refusing to Report jobless data in the months before the 2012 Election are a different matter, I will just use the Fake Data they produced and pretend it was real.


The 1st column of numbers is the unemployed. The 2nd column is the Rate.
The 3rd column is the sum of the Unemployed plus Marginally Attached plus Involuntary Part-time. 4th column is the Rate for column 3 figure. The Rates in columns 2 and 4 have the denominator of Labor Force.
The 5th column is the Civilian Population. 6th column is Labor Force, 7th column is Participation Rate. 8th column is the published U-6 figure.
The 9th column is the Real Unemployment figure, as presented by shadowstats. The 10th column is the underreported, the difference between the U-6 figure from BLS and the Real figure from shadowstats.

Figures in thousands.

MoYr Unem Pcnt Total Prcnt CivPop LbrForc Prtc% U6% Real Separation
Ja93 09911 07.9 16575 12.8 192644 126034 65.4
Ja94 09492 07.3 16575 12.8 195953 129393 66.0 12% 15.3% 2.3%
Ja95 08101 06.2 14504 11.1 197753 130698 66.1 10% 13.5% 3.5%
Ja96 08270 06.3 14110 10.7 199634 131396 65.8 10.8% 13.5% 2.7%
Ja97 07933 05.9 13886 10.3 202285 134317 66.4 10.4% 13% 2.6%
Ja98 07069 05.2 12638 09.3 204238 135951 66.6 09.3% 12% 2.7%
Ja99 06604 04.8 11607 08.4 206719 137943 66.7 08.5% 11.5% 3.0%
Ja00 06316 04.5 10868 07.8 208782 139621 66.9 07.8% 11% 3.2%
Ja01 06647 04.7 11496 08.2 210889 141049 66.9 08.1% 10.5% 2.4%
Ja02 08935 06.3 14693 10.4 213089 141074 66.2 10.5% 13% 2.5%

Ja02 09051 06.3 15036 10.5 216506 143228 66.2 10.5% 13% 2.5%
Ja03 09395 06.5 15996 11.0 219897 145301 66.1 11.0% 13% 2.0%
Ja04 09144 06.3 15966 10.9 222161 146068 65.7 10.9% 14% 3.1%
Ja05 08444 05.7 15041 10.2 224837 147125 65.4 10.2% 13% 2.8%
Ja06 07608 05.1 13765 09.2 227553 149090 65.5 09.2% 12% 2.8%
Ja07 07649 05.0 13846 09.1 230650 151924 65.9 09.1% 12% 2.9%
Ja08 08221 05.4 15185 09.9 232616 152828 65.7 09.9% 13% 3.1%
Ja09 13009 08.5 23814 15.5 234739 153445 65.4 15.4% 20% 4.6%
Ja10 16147 10.6 27847 18.2 236832 152957 64.6 18.0% 22% 4.0%
Ja11 14937 09.8 26764 17.5 238704 152536 63.9 17.3% 22.5% 5.2%
Ja12 13541 08.8 25097 16.4 242269 153485 63.4 16.2% 22.5% 6.3%
Ja13 13181 08.5 24130 15.6 244663 154794 63.3 15.4% 23% 7.6%
Ja14 10855 07.0 21064 13.6 246915 154381 62.5 13.5% 23.5% 10%
Ja15 09498 06.1 18857 12.1 249723 156050 62.5 12.0% 23.5% 11.5%
Ja16 08309 05.3 16632 10.6 252397 157347 62.3 10.5% 23% 12.5%
Ja17 08149 05.1 16028 10.1 254082 158676 62.5 10.1% 23% 12.9%
Ja18 07189 04.5 14222 08.9 256780 160037 62.3 08.9% 22% 13.1%
Ja19 07140 04.4 14297 08.8 258239 162104 62.8 08.8% 21.8% 13.0%


Ja18 07189 04.5 14222 08.9 256780 160037 62.3 08.9% 22% 13.1%
Fb18 07091 04.4 13934 08.6 256934 161494 62.9 08.6% 21.9% 13.3%
Mr18 06671 04.1 13100 08.1 257097 161548 62.8 08.1% 21.8% 13.7%
Ap18 05932 03.7 11925 07.4 257272

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JEWELSTAITEFAN

Friday, May 3, 2019 6:42 PM

This Table of Data, which breaks down the numerical changes in the key figures.

I will refer to this set of data as Table JSF-URF-6

I will post some actual numbers and let the comparisons and discussion follow.

The BLS uses both Seasonally Adjusted figures and Unadjusted figures, and interchanges them without clearly identifying so. I will use only the Unadjusted numbers, to help maintain clarity and transparency.

Some numbers may have a 0 placed as first digit, to maintain column form in this format.


The 1st column is Labor Force minus both Unemployed and Involuntary Part-Time. This is also Employed minus Involuntary Part-Time. This is not a figure identified by BLS, so I will call it Actually Fully Employed. This is Employed Full-time plus Voluntary Part-Time.

Not listed, but Civilian noninstitutional Population minus Actually Fully Employed is also a figure avoided by BLS, and I will call it Not Fully Employed, which is Unemployed plus Involuntary Part-Time plus Marginally Attached plus Not In Labor Force. The 2nd column is Not Fully Employed Rate, which is divided by Civilian noninstitutional Population.

The 3rd column is the Civilian Population. 4th column is Labor Force, 5th column is Participation Rate.

After the separation bar, the 7th column is the Increase in Civilian Population from the previous entry. For the entries by year, this is the 12 month Increase. For the entries broken down by month, this is the 1 month Increase.
The 8th column is the Increase in Labor Force from the previous entry.
The 9th column is the Increase in Actually Fully Employed count, from the previous entry.

In the monthly breakdown for 2018, after the second separation bar, the 10th column is the Civilian Population Increase from the entry 12 months prior.
The 11th column is the Labor Force Increase from the entry 12 months prior.
The 12th column is the Actually Fully Employed Increase from the entry 12 months prior.
The 13th column is the amount that the 12th column exceeds the 10th column, or the amount of Unemployed that is being chipped away, despite manipulation of other figures.

Figures in thousands.

Mo/Yr AcEmpl NtEm CiviPop LbrFrc Prtc% | CPIn LFIn AEInc
Jan94 114938 41.3% 195953 129393 66.0% |
Jan95 117923 40.4% 197753 130698 66.1% | 1800 1305 02985/+1185
Jan96 119023 40.4% 199634 131396 65.8% | 1881 0698 01100/-0781
Jan97 122046 39.7% 202285 134317 66.4% | 2651 2921 03023/+0372
Jan98 124798 38.9% 204238 135951 66.6% | 1953 1634 02752/+0799
Jan99 127694 38.2% 206719 137943 66.7% | 2481 1992 02896/+0415
Jan00 129950 37.8% 208782 139621 66.9% | 2063 1678 02256/+0193
Jan01 130843 38.0% 210889 141049 66.9% | 2107 1428 00893/-1214
Jan02 127890 40.0% 213089 141074 66.2% | 2200 0025 -2953/-5153

Jan02 129724 40.1% 216506 143228 66.2% | 5617 2179 -1119/-6736
Jan03 130903 40.5% 219897 145301 66.1% | 3391 2073 01179/-2212
Jan04 131772 40.7% 222161 146068 65.7% | 2264 0767 00869/-1395
Jan05 133888 40.5% 224837 147125 65.4% | 2676 1057 02116/-0560
Jan06 136978 39.8% 227553 149090 65.5% | 2716 1965 03090/+0374
Jan07 139655 39.5% 230650 151924 65.9% | 3097 2834 02677/-0420
Jan08 139372 40.1% 232616 152828 65.7% | 1966 0904 -0283/-2249
Jan09 131761 43.9% 234739 153445 65.4% | 2123 0617 -7611/-9734
Jan10 127649 46.1% 236832 152957 64.6% | 2093 -488 -4112/-6205
Jan11 128572 46.1% 238704 152536 63.9% | 1872 -421 00923/-0949
Jan12 131197 45.8% 242269 153485 63.4% | 3565 0949 02625/-0940
Jan13 133107 45.6% 244663 154794 63.3% | 2394 1309 01910/-0484
Jan14 135909 45.0% 246915 154381 62.5% | 2252 -413 02802/+0550
Jan15 139427 44.2% 249723 156050 62.5% | 2808 1669 03518/+0710
Jan16 142804 43.4% 252397 157347