Immigrants from Hong Kong vs Potawatomi Unemployment Among Seniors over 75 years

The statistical analysis conducted on geographies consisting of 155,108,778 people shows a slight positive correlation between the proportion of Immigrants from Hong Kong and unemployment rate among seniors over the age of 75 in the United States with a correlation coefficient (R) of 0.070 and weighted average of 7.6%. Similarly, 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%, a difference of 2.3%.

Unemployment Among Seniors over 75 years Correlation Summary

Measurement	Immigrants from Hong Kong	Potawatomi
Minimum	1.8%	4.7%
Maximum	20.0%	100.0%
Range	18.2%	95.3%
Mean	8.6%	30.9%
Median	8.2%	19.4%
Interquartile 25% (IQ1)	6.0%	9.6%
Interquartile 75% (IQ3)	10.2%	43.0%
Interquartile Range (IQR)	4.3%	33.4%
Standard Deviation (Sample)	4.0%	33.1%
Standard Deviation (Population)	4.0%	31.8%

Demographics Similar to Immigrants from Hong Kong and Potawatomi by Unemployment Among Seniors over 75 years

In terms of unemployment among seniors over 75 years, the demographic groups most similar to Immigrants from Hong Kong are Cambodian (7.6%, a difference of 0.010%), Immigrants from Eritrea (7.7%, a difference of 0.25%), Immigrants from Norway (7.7%, a difference of 0.46%), Guyanese (7.6%, a difference of 0.50%), and Luxembourger (7.7%, a difference of 0.56%). Similarly, 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%), Creek (7.8%, a difference of 0.26%), Immigrants from China (7.8%, a difference of 0.67%), and British West Indian (7.8%, a difference of 0.73%).

Demographics	Rating \| Rank	Unemployment Among Seniors over 75 years
Immigrants \| Sweden	100.0 /100 \| #30	Exceptional 7.6%
Guyanese	100.0 /100 \| #31	Exceptional 7.6%
Immigrants \| Hong Kong	100.0 /100 \| #32	Exceptional 7.6%
Cambodians	100.0 /100 \| #33	Exceptional 7.6%
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%