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

The statistical analysis conducted on geographies consisting of 81,881,728 people shows a strong positive correlation between the proportion of Potawatomi and unemployment rate among seniors over the age of 75 in the United States with a correlation coefficient (R) of 0.790 and weighted average of 7.8%. Similarly, 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%, a difference of 1.3%.

Unemployment Among Seniors over 75 years Correlation Summary

Measurement	Potawatomi	Immigrants from Burma/Myanmar
Minimum	4.7%	1.1%
Maximum	100.0%	61.4%
Range	95.3%	60.3%
Mean	30.9%	10.9%
Median	19.4%	8.1%
Interquartile 25% (IQ1)	9.6%	5.7%
Interquartile 75% (IQ3)	43.0%	13.2%
Interquartile Range (IQR)	33.4%	7.5%
Standard Deviation (Sample)	33.1%	11.2%
Standard Deviation (Population)	31.8%	11.0%

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

In terms of unemployment among seniors over 75 years, the demographic groups most similar to Potawatomi are Immigrants from Latvia (7.8%, a difference of 0.020%), Immigrants from Chile (7.8%, a difference of 0.030%), Moroccan (7.8%, a difference of 0.080%), Creek (7.8%, a difference of 0.26%), and Bahamian (7.8%, a difference of 0.32%). Similarly, 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%).

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%