Posted on 02/05/2015 11:06:33 AM PST by Beave Meister
Gallup CEO and Chairman Jim Clifton doubled-down on his comments earlier in the week on the misleading Obama unemployment rate.
Obama says the unemployment rate is 5.6% which is very misleading.
Clifton went on Americas Newsroom today to explain the misleading government numbers.
The number of full-time jobs, and thats what everybody wants, as a percent of the total population, is the lowest its ever been
The other thing that is very misleading about that number is the more people that drop out, the better the number gets. In the recession we lost 13 million jobs. Only 3 million have come back. You dont see that in that number.
(Excerpt) Read more at thegatewaypundit.com ...
It’s the “Fun With Numbers” game put out by the DNC.
I would be worried about Jim Clifton’s long-term health.
He must be well-prepared for his soon-to-come tax audit.
93 million working age Americans out of work. Common Core calculator says 5.6%. My public school do it in your head old time calculator guestimates about 28%. Who else has a number?
Great interview with this guy this AM on FOX. Hope he has his taxes in order.
Bless Gallup for daring to tell the truth to the liars in government and their media.
As we saw last November, many Americans are no longer falling for the government’s phony numbers.
The data are annualized except when noted otherwise. All are monthly or quarterly. I use the last month / quarter of the year.
Much of the size of this is taken up by instructions on how to get the sources of the data and much, much more data! I assume Gallop obtained their own stats. Here however are government stats that confirm some Gallop stats. The three years are Reagan, preceding the last recession, and Obama. (Job numbers times one thousand.)
full time jobs |
population | percentage | year | % counting part time jobs |
---|---|---|---|---|
91297 | 240130 | 38.0198226% | 1986 | 46.012993% |
121621 | 301230 | 40.3747967% | 2007 | 48.5834744% |
119707 | 319470 | 37.470498% | 2014 | 46.1276489% |
Taking into account the year preceding the administrations, compare the first six years of Reagan and Obama. Examples: using these spread sheet formulas:
(1986 value - 1980 value) / 1980 value and
(2014 value - 2008 value) / 2008 value
I get
If you take into account the 2007 number of Employed full time 121621 [thousands] Obama's number would be negative. About all that happened is despite Obama most of the jobs lost in the first few years of his admnistration were recovered by the end of 2014.
Gee. How come Obama had such big decreases in (Col 9.) Unemployed and (Col 10) Unemployed looking for full-time work? Guess.
Col 11 and Col 12 are the Unemployment rate and Unemployment rate of the full-time labor force, respectively. The rest of the columns are:
Year |
---|
1980 |
1981 |
1982 |
1983 |
1984 |
1985 |
1986 |
1987 |
1988 |
2007 |
2008 |
2009 |
2010 |
2011 |
2012 |
2013 |
2014 |
Year |
2. |
---|
168693 |
170990 |
173046 |
174950 |
177133 |
178941 |
181365 |
183467 |
185253 |
232937 |
234825 |
236739 |
238712 |
240431 |
244169 |
246564 |
248843 |
2. |
3. |
---|
107442 |
109057 |
110959 |
112160 |
114257 |
116211 |
118587 |
120593 |
122488 |
153645 |
154723 |
153591 |
153803 |
153995 |
155450 |
154989 |
156258 |
3. |
4. |
---|
63.7 |
63.8 |
64.1 |
64.1 |
64.5 |
64.9 |
65.4 |
65.7 |
66.1 |
66.0 |
65.9 |
64.9 |
64.4 |
64.0 |
63.7 |
62.9 |
62.8 |
4. |
5. |
---|
99499 |
100077 |
99120 |
102588 |
105944 |
108023 |
110492 |
113527 |
115947 |
146272 |
144091 |
138368 |
139155 |
140669 |
143303 |
144205 |
147344 |
5. |
6. |
---|
59.0 |
58.5 |
57.3 |
58.6 |
59.8 |
60.4 |
60.9 |
61.9 |
62.6 |
62.8 |
61.4 |
58.4 |
58.3 |
58.5 |
58.7 |
58.5 |
59.2 |
6. |
7. |
---|
82648 |
82799 |
80606 |
83997 |
87458 |
89259 |
91297 |
93914 |
95927 |
121621 |
118281 |
110906 |
111655 |
113269 |
115610 |
116826 |
119707 |
7. |
8. |
---|
16843 |
17262 |
18409 |
18556 |
18487 |
18778 |
19194 |
19660 |
20053 |
24727 |
25836 |
27423 |
27444 |
27355 |
27684 |
27378 |
27657 |
8. |
9. |
---|
7943 |
8981 |
11839 |
9572 |
8312 |
8188 |
8095 |
7066 |
6541 |
7374 |
10633 |
15223 |
14649 |
13326 |
12146 |
10784 |
8914 |
9. |
10. |
---|
6612 |
7491 |
10111 |
8017 |
6891 |
6697 |
6586 |
5635 |
5236 |
6009 |
9009 |
13444 |
12867 |
11521 |
10338 |
9171 |
7478 |
10. |
11. |
---|
7.4 |
8.2 |
10.7 |
8.5 |
7.3 |
7.0 |
6.8 |
5.9 |
5.3 |
4.8 |
6.9 |
9.9 |
9.5 |
8.7 |
7.8 |
7.0 |
5.7 |
11. |
12. |
---|
7.4 |
8.3 |
11.1 |
8.7 |
7.3 |
7.0 |
6.7 |
5.7 |
5.2 |
4.7 |
7.1 |
10.8 |
10.3 |
9.2 |
8.2 |
7.3 |
5.9 |
12. |
13. |
---|
61252 |
61933 |
62087 |
62790 |
62876 |
62730 |
62778 |
62874 |
62765 |
79291 |
80102 |
83148 |
84908 |
86436 |
88719 |
91575 |
92584 |
13. |
pop. |
---|
227220 |
229470 |
231660 |
233790 |
235820 |
237920 |
240130 |
242290 |
244500 |
301230 |
304090 |
306770 |
309330 |
311590 |
313910 |
316160 |
319470 |
pop. |
labor1 | labor1 | |
---|---|---|
N | N | |
N | N | |
N | N | |
N | N | |
N | N | |
N | N | |
N | N | |
N | N | |
N | N | |
123524 | 22810 | |
121211 | 22138 | |
116663 | 21290 | |
117006 | 22153 | |
118033 | 22647 | |
119844 | 23216 | |
120636 | 23787 | |
122558 | 24890 | |
labor1 | labor1 | |
force | force | |
domestic | foreign | |
born | born | |
[1000s] | [1000s] |
PR2 |
---|
N |
N |
N |
N |
N |
N |
N |
N |
N |
68.2 |
67.9 |
67.2 |
67.8 |
67.4 |
66.4 |
66.1 |
65.9 |
PR2 |
UR2 |
---|
N |
N |
N |
N |
N |
N |
N |
N |
N |
4.7 |
7.6 |
11.0 |
10.6 |
8.8 |
8.0 |
6.5 |
5.3 |
UR2 |
income3 |
---|
47,668 |
46,877 |
46,751 |
46,425 |
47,866 |
48,761 |
50,488 |
51,121 |
51,514 |
56,436 |
54,423 |
54,059 |
52,646 |
51,842 |
51,759 |
51,939 |
N |
income3 |
median income |
Recession |
---|
Jan to Jul '80 |
Jul 1981 to |
Nov 1982 |
- |
- |
- |
- |
- |
- |
Dec 2007 |
to |
Jun 2009 |
- |
- |
- |
- |
- |
Year |
---|
1980 |
1981 |
1982 |
1983 |
1984 |
1985 |
1986 |
1987 |
1988 |
2007 |
2008 |
2009 |
2010 |
2011 |
2012 |
2013 |
2014 |
Year |
GDP |
---|
-0.2 |
2.6 |
-1.9 |
4.6 |
7.3 |
4.2 |
3.5 |
3.5 |
4.2 |
1.8 |
-0.3 |
-2.8 |
2.5 |
1.6 |
2.3 |
2.2 |
5 |
GDP |
% chg |
PCE |
---|
3.32 |
-1.8 |
4.51 |
4.06 |
3.29 |
0.62 |
1.62 |
0.57 |
2.93 |
0.34 |
-3.16 |
-0.01 |
2.79 |
0.94 |
1.32 |
2.51 |
2.21 |
PCE |
U-6 |
---|
N |
N |
N |
N |
N |
N |
N |
N |
N |
8.8 |
13.6 |
17.1 |
16.6 |
15.2 |
14.4 |
13.1 |
11.2 |
U-6 |
U-2 |
---|
3.9 |
4.8 |
6.4 |
4.5 |
3.7 |
3.4 |
3.3 |
2.6 |
2.5 |
2.5 |
4.3 |
6.3 |
5.7 |
4.9 |
4.2 |
3.5 |
2.8 |
U-2 |
SSDI |
---|
N |
N |
N |
N |
N |
N |
N |
N |
N |
823,106 |
895,011 |
985,940 |
1,052,551 |
1,025,003 |
979,973 |
884,894 |
810,973 |
SSDI |
1labor: If second labor column (foreign born) is not shown hover the labor (domestic numbers) for foreign born numbers.
Source: to find the tables go here Data Retrieval: Labor Force Statistics (CPS)
HOUSEHOLD DATA Table A-7. Employment status of the civilian population by nativity and sex, not seasonally adjusted [Numbers in thousands]
Employment status and nativity. Then
Scroll down to "Retrieve Data"
The data that I include above are from the month of December except for 2014 where November is the last month with data available.
2 PR Civilian labor force participation rate, foreign born and UR unemployment rate, foreign born. See 1 for source.
3income: For the Census Bureau income data go here. Choose "Consumer Income Reports (P60)" then choose "P60-249 Income and Poverty in the United States: 2013" (pdf file).
|
The numbered column headings are for:
The rest of the columns are:
Some columns are combined / omitted to fit desired columns on a PC screen. Use hover to view combined columns.
All values in the numbered-columns are from annualized quarterly sources. The value displayed is for the fourth quarter.
Table Information |
---|
Column headings 1 to 13 |
I've combined several tables into one. Most of the tables were obtained here: go to Bureau of Labor Statistics (BLS) Labor Force Statisics from the Current Population Survey (CPS). Make your selections. I chose quarterly data. I took the fourth quarter data from each table and combined them into the main part of the table above. For the year 2014 I took the third quarter data. |
pop. Population data |
---|
Go here U.S. population and US Census clock, Dec 22, 2014 319.47 million |
Recession |
---|
CENSUS BUREAU, BUREAU OF LABOR STATISTICS SOURCES |
National Bureau of Economic Research, Inc. Cambridge MA 02138 US Business Cycle Expansions and Contractions Link from BLS SPOTLIGHT ON STATISTICS THE RECESSION OF 2007 2009 |
GDP - Table 1.1.1. Percent Change From Preceding Period in Real Gross Domestic Product (annual rates) |
---|
see PCE |
PCE Personal consumption expenditures |
---|
The GDP Personal consumption expenditures percentage US Department of Commerce, Bureau of Economic Analysis (BEA) Gross Domestic Product (GDP) If you are not at Gross Domestic Product (GDP) search for it. It should be on page http://www.bea.gov/national/index.htm. Then click on
I did not know which tables to look for so I chose to download them all in csv format. I clicked on Section 1 (2852.7k) I used Table 1.1.2. Contributions to Percent Change in Real Gross Domestic Product |
U-6 |
---|
Hover column for U-2 data. |
U-1 to U-6 unemployment rates. We know how the "official unemployment rate" is manipulated so I won't include it here. These are annualized monthly data for December. For 2014 I used November. |
Series Id: LNS13327709 Seasonally Adjusted Series title: (seas) Total unemployed, plus all marginally attached workers plus total employed part time for economic reasons, as a percent of all civilian labor force plus all marginally attached workers Labor force status: Aggregated totals unemployed Type of data: Percent or rate Age: 16 years and over Percent/rates: Unemployed and mrg attached and pt for econ reas as percent of labor force plus marg attached. |
U-2 |
---|
U-1 to U-6 unemployment rates. These are annualized monthly data for December. For 2014 I used November. |
Series Id: LNS14023621 Seasonally Adjusted Series title: (Seas) Unemployment Rate - Job Losers Type of data: Percent or rate Age: 16 years and over Reasons looking for work: Job losers and persons who completed temporary jobs U-2 |
SSDI |
---|
Selected Data from Social Security's Disability Program |
The following table presents unedited data (including corrections, if any) on disabled worker beneficiaries paid from Social Security's Disability Insurance Trust Fund. In particular, unedited award data may contain duplicate cases. |
2014 data are the sum of first three quarters |
Footnotes
N Not available.
Z Represents or rounds to zero.
That was one hell of a post.
I don’t know what it means,
but it was one hell of a post.
Plus my original Reagan-Obama comparison IMO points to several failings of Obama
The proof is in the federal government figures.. I am trying to understand the myriad ways of getting at them and around the phony data put out by the aged 1960s Marxist-Alinsky campus radical, psycho spoiled brats and their ideological litters occupying buildings on their make-believe campus of Beltway University.
I appreciate your efforts, but it cam across as a
WALL OF TEXT!
I had merely changed we to they and met to vet. They meaning the government.
In fact a certain talk show host has twice (that I personally heard) claimed that Walt Kelly could possibly have taken the quote from him.
Like in too much information? All text no graphics?
Yes it is.
After years and years of links to sources I thought the best way is to post the data and include the source only as verifications. Also, too often the threads' replies' sources mere cited other columns or government agencies and not were you could find the actual data.
If I get banned then so be it.
Here is how it goes:
“We have met the enemy, and he is us.”
I came up with that a while back..
Yes, my tagline originates from an old “Pogo” cartoon”.
If I tried to explain it out further it would say:
“We the People” have met the enemy, and he is “We the People”.
It is my belief that our nation is not in peril because of
people like Harry Reed, Nancy Pelosi, and Barack Obama;
but our nation is in peril because because of
“our fellow Americans” who believe that
people like Harry Reed, Nancy Pelosi, and Barack Obama are a good idea.
I can’t help but think back to the movie called “A Christmas Story”
when the Bumpass’s Dogs came in the kitchen and ate the Christmas turkey.
It was not the dog’s fault; it was the Bumpass’s fault.
The dogs were just doing what dogs do.
You can not blame Nancy, Harry, and Obama for who they are,
they are just doing what they naturally do.
If you were to somehow get rid of Nancy, Harry, and Barack,
the people who voted them into office would vote in someone just like them.
The problem is not Nancy, Harry, and Obama, the problem is the electorate.
That is what my tagline means.
“...Like in too much information?...”
-
Yes, I am not condemning you,
but that was just too much information for a normal person to absorb.
I’m trying to be constructive.
I personally think more along the lines of Lincoln's "house divided" having been a kind of news junky since 1950.
True, the two views are very similar but I see it more as a result of progressives and the New Left infiltration and indoctrination resulting in "statism" (Levin's meaning) versus freedom. I have often posted Lincoln's speech replacing slavery with the word statism. The outcome could well be civil war unless my 1970s tag line finally comes true.
As for my "wall of text" reply the Gallop posting was exactly what it was for. A reference. Here I had gathered the necessary data from several government sources. Lets see the Left debate their own governmemt's data.
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