Bureau of Labor Statistics Labor Force Statistics from the Current Population Survey
Original Data Value
Series Id:
Seasonally Adjusted
Series title:
Labor force status:
Type of data:
Age:
Years:
Year
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017 LNS14000000
(Seas) Unemployment Rate
Unemployment rate
Percent or rate
16 years and over
2007 to 2017
Jan
4.6
5.0
7.8
9.8
9.1
8.3
8.0
6.6
5.7
4.9
4.8 Source: Bureau of Labor Statistics Feb
4.5
4.9
8.3
9.8
9.0
8.3
7.7
6.7
5.5
4.9
4.7 Mar
4.4
5.1
8.7
9.9
9.0
8.2
7.5
6.7
5.4
5.0
4.5 Apr
4.5
5.0
9.0
9.9
9.1
8.2
7.6
6.2
5.4
5.0
4.4 May
4.4
5.4
9.4
9.6
9.0
8.2
7.5
6.3
5.5
4.7
4.3 Jun
4.6
5.6
9.5
9.4
9.1
8.2
7.5
6.1
5.3
4.9 Jul
4.7
5.8
9.5
9.4
9.0
8.2
7.3
6.2
5.2
4.9 Aug
4.6
6.1
9.6
9.5
9.0
8.1
7.3
6.2
5.1
4.9 Sep
4.7
6.1
9.8
9.5
9.0
7.8
7.2
5.9
5.0
4.9 Oct
4.7
6.5
10.0
9.4
8.8
7.8
7.2
5.7
5.0
4.8 Nov
4.7
6.8
9.9
9.8
8.6
7.7
6.9
5.8
5.0
4.6 Dec
5.0
7.3
9.9
9.3
8.5
7.9
6.7
5.6
5.0
4.7 Generated on: July 1, 2017 (05:46:55 AM) Bureau of Labor Statistics Average rate 4.6
5.8
9.3
9.6
8.9
8.1
7.4
6.2
5.3
4.9
4.5 9.6
8.9
8.1
7.4
6.2
5.3 Source: Bureau of Labor Statistics Generated on: July 1, 2017 (05:46:55 AM) Year Population Total
Violent
Property
Murder
Rape
Robbery
assault
2010 309,330,219 10,363,873 1,251,248 9,112,625
14,772
85,593
369,089
781,844
2011 311,587,816 10,258,774 1,206,031 9,052,743
14,661
84,175
354,772
752,423
2012 313,873,685 10,219,059 1,217,067 9,001,992
14,866
85,141
355,051
762,009
2013 316,497,531 9,850,445 1,199,684 8,650,761
14,319
82,109
345,095
726,575
2014 318,907,401 9,395,195 1,186,185 8,209,010
14,164
84,864
322,905
731,089
2015 321,418,820 9,225,197 1,231,566 7,993,631
15,696
90,185
327,374
764,449 Burglary
Theft
Theft
2,168,457 6,204,601
739,565
2,185,140 6,151,095
716,508
2,109,932 6,168,874
723,186
1,931,835 6,018,632
700,294
1,713,153 5,809,054
686,803
1,579,527 5,706,346
707,758 Regression analysis for unemployment rate and crime rates
Year
2010
2011
2012
2013
2014
2015 Unemployment rate Crime rate (Total reported)
9.6
309,330,219
8.9
311,587,816
8.1
313,873,685
7.4
316,497,531
6.2
318,907,401
5.3
321,418,820 ates SUMMARY OUTPUT
Regression Statistics
Multiple R
0.9965531236
R Square
0.9931181281
Adjusted R Square
0.9913976602
Standard Error
0.1508606102
Observations
6
ANOVA
df
Regression
Residual
Total Intercept
X Variable 1 1
4
5 Coefficients
Standard Error
t Stat
P-value
Lower 95%
119.99505188
4.6792047606 25.64433 0.000013734 107.003496723
-3.56558E-007 1.4840647E-008 -24.02576 0.000017801 -3.977621E-007 PROBABILITY OUTPUT
Percentile
8.3333333333
25
41.6666666667
58.3333333333
75
91.6666666667 SS
MS
F
Significance F
13.1372976385 13.1373 577.23721059 0.000017801
0.0910356948 0.022759
13.2283333333 Y
5.3
6.2
7.4
8.1
8.9
9.6 Normal Probability Plot
15
10
Y 5
0 0 10 20 30 40 50 60 Sample Percentile Upper 95%
Lower 95.0% Upper 95.0%
132.98660703 107.00349672 132.98660703
-3.15354E-007 -3.97762E-007 -3.15354E-007 70 80 90 100 bility Plot 60 entile 70 80 90 100 Column 1
Column 1
1
Column 2 -0.9965531236 Column 2
1 F-Test Two-Sample for Variances Mean
Variance
Observations
df
F
P(F<=f) one-tail
F Critical one-tail Variable 1
Variable 2
7.5833333333 315269245.33
2.6456666667 2.06669E+013
6
6
5
5
1.28014E-013
0
0.1980068999 t-Test: Paired Two Sample for Means Mean
Variance
Observations
Pearson Correlation
Hypothesized Mean Difference
df
t Stat
P(T<=t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail Variable 1
Variable 2
7.5833333333 315269245.33
2.6456666667 2.06669E+013
6
6
-0.9965531236
0
5
-169.87091641
6.706833E-011
2.0150483733
1.341367E-010
2.5705818356

 

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