Immigrants from Eastern Asia vs Luxembourger Unemployment Among Seniors over 75 years

The statistical analysis conducted on geographies consisting of 226,570,073 people shows a weak positive correlation between the proportion of Immigrants from Eastern Asia and unemployment rate among seniors over the age of 75 in the United States with a correlation coefficient (R) of 0.250 and weighted average of 7.9%. Similarly, the statistical analysis conducted on geographies consisting of 97,757,324 people shows a substantial positive correlation between the proportion of Luxembourgers and unemployment rate among seniors over the age of 75 in the United States with a correlation coefficient (R) of 0.502 and weighted average of 7.7%, a difference of 2.5%.

Unemployment Among Seniors over 75 years Correlation Summary

Measurement	Immigrants from Eastern Asia	Luxembourger
Minimum	1.8%	3.8%
Maximum	23.8%	100.0%
Range	22.0%	96.2%
Mean	8.6%	19.7%
Median	7.9%	16.8%
Interquartile 25% (IQ1)	6.5%	7.0%
Interquartile 75% (IQ3)	10.3%	23.1%
Interquartile Range (IQR)	3.7%	16.2%
Standard Deviation (Sample)	4.0%	22.3%
Standard Deviation (Population)	4.0%	21.7%

Demographics Similar to Immigrants from Eastern Asia and Luxembourgers by Unemployment Among Seniors over 75 years

In terms of unemployment among seniors over 75 years, the demographic groups most similar to Immigrants from Eastern Asia are Filipino (7.9%, a difference of 0.010%), Immigrants from Malaysia (7.9%, a difference of 0.33%), Immigrants from Egypt (7.9%, a difference of 0.37%), Bahamian (7.8%, a difference of 0.44%), and Moroccan (7.8%, a difference of 0.68%). Similarly, the demographic groups most similar to Luxembourgers are Immigrants from Hungary (7.7%, a difference of 0.20%), Kiowa (7.7%, a difference of 0.22%), Ugandan (7.7%, a difference of 0.25%), Colville (7.7%, a difference of 0.28%), and Immigrants from Burma/Myanmar (7.7%, a difference of 0.41%).

Demographics	Rating \| Rank	Unemployment Among Seniors over 75 years
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%
Bahamians	100.0 /100 \| #52	Exceptional 7.8%
Immigrants \| Egypt	100.0 /100 \| #53	Exceptional 7.9%
Immigrants \| Malaysia	99.9 /100 \| #54	Exceptional 7.9%
Filipinos	99.9 /100 \| #55	Exceptional 7.9%
Immigrants \| Eastern Asia	99.9 /100 \| #56	Exceptional 7.9%