Colville vs Immigrants from Denmark Unemployment Among Seniors over 75 years

The statistical analysis conducted on geographies consisting of 27,779,106 people shows a poor positive correlation between the proportion of Colville and unemployment rate among seniors over the age of 75 in the United States with a correlation coefficient (R) of 0.191 and weighted average of 7.7%. Similarly, the statistical analysis conducted on geographies consisting of 98,267,955 people shows a very strong positive correlation between the proportion of Immigrants from Denmark and unemployment rate among seniors over the age of 75 in the United States with a correlation coefficient (R) of 0.818 and weighted average of 7.8%, a difference of 0.67%.

Unemployment Among Seniors over 75 years Correlation Summary

Measurement	Colville	Immigrants from Denmark
Minimum	6.1%	5.8%
Maximum	100.0%	100.0%
Range	93.9%	94.2%
Mean	45.1%	39.1%
Median	28.9%	14.0%
Interquartile 25% (IQ1)	6.9%	10.2%
Interquartile 75% (IQ3)	100.0%	90.7%
Interquartile Range (IQR)	93.1%	80.4%
Standard Deviation (Sample)	44.0%	40.2%
Standard Deviation (Population)	40.2%	38.6%

Demographics Similar to Colville and Immigrants from Denmark by Unemployment Among Seniors over 75 years

In terms of unemployment among seniors over 75 years, the demographic groups most similar to Colville are Ugandan (7.7%, a difference of 0.020%), Kiowa (7.7%, a difference of 0.060%), Immigrants from Hungary (7.7%, a difference of 0.080%), Immigrants from Burma/Myanmar (7.7%, a difference of 0.13%), and Luxembourger (7.7%, a difference of 0.28%). Similarly, the demographic groups most similar to Immigrants from Denmark are Immigrants from Spain (7.8%, a difference of 0.040%), British West Indian (7.8%, a difference of 0.050%), Immigrants from China (7.8%, a difference of 0.11%), Pueblo (7.7%, a difference of 0.30%), and Creek (7.8%, a difference of 0.52%).

Demographics	Rating \| Rank	Unemployment Among Seniors over 75 years
Guyanese	100.0 /100 \| #31	Exceptional 7.6%
Immigrants \| Hong Kong	100.0 /100 \| #32	Exceptional 7.6%
Cambodians	100.0 /100 \| #33	Exceptional 7.6%
Immigrants \| Eritrea	100.0 /100 \| #34	Exceptional 7.7%
Immigrants \| Norway	100.0 /100 \| #35	Exceptional 7.7%
Luxembourgers	100.0 /100 \| #36	Exceptional 7.7%
Immigrants \| Hungary	100.0 /100 \| #37	Exceptional 7.7%
Kiowa	100.0 /100 \| #38	Exceptional 7.7%
Ugandans	100.0 /100 \| #39	Exceptional 7.7%
Colville	100.0 /100 \| #40	Exceptional 7.7%
Immigrants \| Burma/Myanmar	100.0 /100 \| #41	Exceptional 7.7%
Pueblo	100.0 /100 \| #42	Exceptional 7.7%
Immigrants \| Denmark	100.0 /100 \| #43	Exceptional 7.8%
Immigrants \| Spain	100.0 /100 \| #44	Exceptional 7.8%
British West Indians	100.0 /100 \| #45	Exceptional 7.8%
Immigrants \| China	100.0 /100 \| #46	Exceptional 7.8%
Creek	100.0 /100 \| #47	Exceptional 7.8%
Immigrants \| Chile	100.0 /100 \| #48	Exceptional 7.8%
Potawatomi	100.0 /100 \| #49	Exceptional 7.8%
Immigrants \| Latvia	100.0 /100 \| #50	Exceptional 7.8%
Moroccans	100.0 /100 \| #51	Exceptional 7.8%