Moroccan vs Immigrants from Hungary Unemployment Among Seniors over 75 years

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%. Similarly, the statistical analysis conducted on geographies consisting of 132,173,001 people shows a slight negative correlation between the proportion of Immigrants from Hungary and unemployment rate among seniors over the age of 75 in the United States with a correlation coefficient (R) of -0.086 and weighted average of 7.7%, a difference of 1.6%.

Unemployment Among Seniors over 75 years Correlation Summary

Measurement	Moroccan	Immigrants from Hungary
Minimum	2.9%	3.1%
Maximum	79.1%	32.1%
Range	76.2%	29.0%
Mean	15.0%	11.7%
Median	9.4%	9.7%
Interquartile 25% (IQ1)	6.9%	6.5%
Interquartile 75% (IQ3)	13.4%	15.5%
Interquartile Range (IQR)	6.5%	8.9%
Standard Deviation (Sample)	17.8%	8.0%
Standard Deviation (Population)	17.3%	7.6%

Demographics Similar to Moroccans and Immigrants from Hungary by Unemployment Among Seniors over 75 years

In terms of unemployment among seniors over 75 years, 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%). Similarly, the demographic groups most similar to Immigrants from Hungary are Kiowa (7.7%, a difference of 0.020%), Ugandan (7.7%, a difference of 0.050%), Colville (7.7%, a difference of 0.080%), Luxembourger (7.7%, a difference of 0.20%), and Immigrants from Burma/Myanmar (7.7%, a difference of 0.21%).

Demographics	Rating \| Rank	Unemployment Among Seniors over 75 years
Immigrants \| Eritrea	100.0 /100 \| #34	Exceptional 7.7%
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%