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

The statistical analysis conducted on geographies consisting of 74,859,637 people shows a weak negative correlation between the proportion of Ugandans and unemployment rate among seniors over the age of 75 in the United States with a correlation coefficient (R) of -0.265 and weighted average of 7.7%. Similarly, 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%, a difference of 2.2%.

Unemployment Among Seniors over 75 years Correlation Summary

Measurement	Ugandan	Immigrants from Eastern Asia
Minimum	2.7%	1.8%
Maximum	24.3%	23.8%
Range	21.6%	22.0%
Mean	9.6%	8.6%
Median	7.8%	7.9%
Interquartile 25% (IQ1)	5.5%	6.5%
Interquartile 75% (IQ3)	11.6%	10.3%
Interquartile Range (IQR)	6.1%	3.7%
Standard Deviation (Sample)	5.6%	4.0%
Standard Deviation (Population)	5.4%	4.0%

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

In terms of unemployment among seniors over 75 years, the demographic groups most similar to Ugandans are Colville (7.7%, a difference of 0.020%), Kiowa (7.7%, a difference of 0.040%), Immigrants from Hungary (7.7%, a difference of 0.050%), Immigrants from Burma/Myanmar (7.7%, a difference of 0.16%), and Pueblo (7.7%, a difference of 0.40%). Similarly, the demographic groups most similar to Immigrants from Eastern Asia are Filipino (7.9%, a difference of 0.010%), Ottawa (7.9%, a difference of 0.17%), Immigrants from Malaysia (7.9%, a difference of 0.33%), Immigrants from Egypt (7.9%, a difference of 0.37%), and Bahamian (7.8%, a difference of 0.44%).

Demographics	Rating \| Rank	Unemployment Among Seniors over 75 years
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%
Ottawa	99.9 /100 \| #57	Exceptional 7.9%