Subsaharan African vs Immigrants from China Unemployment Among Seniors over 65 years

The statistical analysis conducted on geographies consisting of 436,089,734 people shows a moderate positive correlation between the proportion of Sub-Saharan Africans and unemployment rate amomg seniors over the age of 65 in the United States with a correlation coefficient (R) of 0.487 and weighted average of 5.2%. Similarly, the statistical analysis conducted on geographies consisting of 404,398,266 people shows a weak positive correlation between the proportion of Immigrants from China and unemployment rate amomg seniors over the age of 65 in the United States with a correlation coefficient (R) of 0.252 and weighted average of 5.2%, a difference of 0.010%.

Unemployment Among Seniors over 65 years Correlation Summary

Measurement	Subsaharan African	Immigrants from China
Minimum	0.70%	1.8%
Maximum	24.3%	12.6%
Range	23.6%	10.8%
Mean	6.5%	5.4%
Median	5.3%	5.0%
Interquartile 25% (IQ1)	4.7%	4.3%
Interquartile 75% (IQ3)	7.4%	6.0%
Interquartile Range (IQR)	2.7%	1.7%
Standard Deviation (Sample)	4.0%	2.0%
Standard Deviation (Population)	3.9%	2.0%

Demographics Similar to Sub-Saharan Africans and Immigrants from China by Unemployment Among Seniors over 65 years

In terms of unemployment among seniors over 65 years, the demographic groups most similar to Sub-Saharan Africans are Immigrants from Northern Africa (5.2%, a difference of 0.030%), Laotian (5.2%, a difference of 0.060%), Immigrants from Pakistan (5.2%, a difference of 0.070%), Immigrants from Europe (5.2%, a difference of 0.10%), and South American Indian (5.2%, a difference of 0.11%). Similarly, the demographic groups most similar to Immigrants from China are Immigrants from Northern Africa (5.2%, a difference of 0.040%), Laotian (5.2%, a difference of 0.060%), Immigrants from Pakistan (5.2%, a difference of 0.080%), South American Indian (5.2%, a difference of 0.10%), and Immigrants from Europe (5.2%, a difference of 0.11%).

Demographics	Rating \| Rank	Unemployment Among Seniors over 65 years
Immigrants \| Africa	29.6 /100 \| #193	Fair 5.2%
Argentineans	29.1 /100 \| #194	Fair 5.2%
Costa Ricans	27.0 /100 \| #195	Fair 5.2%
Immigrants \| Poland	24.3 /100 \| #196	Fair 5.2%
Guamanians/Chamorros	22.5 /100 \| #197	Fair 5.2%
Maltese	19.6 /100 \| #198	Poor 5.2%
Immigrants \| Europe	19.0 /100 \| #199	Poor 5.2%
Immigrants \| Pakistan	18.4 /100 \| #200	Poor 5.2%
Laotians	18.1 /100 \| #201	Poor 5.2%
Immigrants \| Northern Africa	17.7 /100 \| #202	Poor 5.2%
Sub-Saharan Africans	17.1 /100 \| #203	Poor 5.2%
Immigrants \| China	16.9 /100 \| #204	Poor 5.2%
South American Indians	15.3 /100 \| #205	Poor 5.2%
German Russians	14.7 /100 \| #206	Poor 5.2%
Immigrants \| Philippines	13.2 /100 \| #207	Poor 5.2%
Uruguayans	12.6 /100 \| #208	Poor 5.2%
Alsatians	11.4 /100 \| #209	Poor 5.2%
Immigrants \| Uzbekistan	10.7 /100 \| #210	Poor 5.2%
Africans	10.4 /100 \| #211	Poor 5.2%
Immigrants \| Honduras	10.2 /100 \| #212	Poor 5.2%
Immigrants \| Uruguay	9.3 /100 \| #213	Tragic 5.2%