Immigrants from China vs British West Indian Unemployment Among Seniors over 75 years

The statistical analysis conducted on geographies consisting of 217,998,240 people shows a weak positive correlation between the proportion of Immigrants from China and unemployment rate among seniors over the age of 75 in the United States with a correlation coefficient (R) of 0.233 and weighted average of 7.8%. Similarly, the statistical analysis conducted on geographies consisting of 104,084,250 people shows no correlation between the proportion of British West Indians and unemployment rate among seniors over the age of 75 in the United States with a correlation coefficient (R) of -0.016 and weighted average of 7.8%, a difference of 0.060%.

Unemployment Among Seniors over 75 years Correlation Summary

Measurement	Immigrants from China	British West Indian
Minimum	1.8%	1.0%
Maximum	23.8%	38.3%
Range	22.0%	37.3%
Mean	8.2%	11.8%
Median	8.0%	9.7%
Interquartile 25% (IQ1)	5.8%	7.2%
Interquartile 75% (IQ3)	9.4%	13.0%
Interquartile Range (IQR)	3.6%	5.8%
Standard Deviation (Sample)	4.1%	7.5%
Standard Deviation (Population)	4.1%	7.5%

Demographics Similar to Immigrants from China and British West Indians by Unemployment Among Seniors over 75 years

In terms of unemployment among seniors over 75 years, the demographic groups most similar to Immigrants from China are Immigrants from Spain (7.8%, a difference of 0.070%), Immigrants from Denmark (7.8%, a difference of 0.11%), Pueblo (7.7%, a difference of 0.40%), Creek (7.8%, a difference of 0.41%), and Immigrants from Chile (7.8%, a difference of 0.63%). Similarly, the demographic groups most similar to British West Indians are Immigrants from Spain (7.8%, a difference of 0.010%), Immigrants from Denmark (7.8%, a difference of 0.050%), Pueblo (7.7%, a difference of 0.34%), Creek (7.8%, a difference of 0.47%), and Immigrants from Burma/Myanmar (7.7%, a difference of 0.58%).

Demographics	Rating \| Rank	Unemployment Among Seniors over 75 years
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%
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%