Immigrants from Burma/Myanmar vs Moroccan Unemployment Among Seniors over 75 years

The statistical analysis conducted on geographies consisting of 114,707,279 people shows a moderate positive correlation between the proportion of Immigrants from Burma/Myanmar and unemployment rate among seniors over the age of 75 in the United States with a correlation coefficient (R) of 0.412 and weighted average of 7.7%. Similarly, the statistical analysis conducted on geographies consisting of 131,616,504 people shows a moderate positive correlation between the proportion of Moroccans and unemployment rate among seniors over the age of 75 in the United States with a correlation coefficient (R) of 0.449 and weighted average of 7.8%, a difference of 1.4%.

Unemployment Among Seniors over 75 years Correlation Summary

Measurement	Immigrants from Burma/Myanmar	Moroccan
Minimum	1.1%	2.9%
Maximum	61.4%	79.1%
Range	60.3%	76.2%
Mean	10.9%	15.0%
Median	8.1%	9.4%
Interquartile 25% (IQ1)	5.7%	6.9%
Interquartile 75% (IQ3)	13.2%	13.4%
Interquartile Range (IQR)	7.5%	6.5%
Standard Deviation (Sample)	11.2%	17.8%
Standard Deviation (Population)	11.0%	17.3%

Demographics Similar to Immigrants from Burma/Myanmar and Moroccans by Unemployment Among Seniors over 75 years

In terms of unemployment among seniors over 75 years, the demographic groups most similar to Immigrants from Burma/Myanmar are Colville (7.7%, a difference of 0.13%), Ugandan (7.7%, a difference of 0.16%), Kiowa (7.7%, a difference of 0.20%), Immigrants from Hungary (7.7%, a difference of 0.21%), and Pueblo (7.7%, a difference of 0.23%). Similarly, the demographic groups most similar to Moroccans are Immigrants from Latvia (7.8%, a difference of 0.050%), Potawatomi (7.8%, a difference of 0.080%), Immigrants from Chile (7.8%, a difference of 0.11%), Bahamian (7.8%, a difference of 0.24%), and Immigrants from Egypt (7.9%, a difference of 0.31%).

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%