Potawatomi vs Immigrants from Germany Unemployment Among Ages 16 to 19 years

The statistical analysis conducted on geographies consisting of 115,584,812 people shows a poor negative correlation between the proportion of Potawatomi and unemployment rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of -0.174 and weighted average of 17.2%. Similarly, the statistical analysis conducted on geographies consisting of 432,593,145 people shows a substantial positive correlation between the proportion of Immigrants from Germany and unemployment rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of 0.513 and weighted average of 17.2%, a difference of 0.39%.

Unemployment Among Ages 16 to 19 years Correlation Summary

Measurement	Potawatomi	Immigrants from Germany
Minimum	3.3%	16.9%
Maximum	53.0%	100.0%
Range	49.7%	83.1%
Mean	20.0%	36.6%
Median	19.3%	32.5%
Interquartile 25% (IQ1)	15.1%	24.1%
Interquartile 75% (IQ3)	22.7%	42.8%
Interquartile Range (IQR)	7.6%	18.7%
Standard Deviation (Sample)	11.2%	20.2%
Standard Deviation (Population)	11.0%	19.5%

Demographics Similar to Potawatomi and Immigrants from Germany by Unemployment Among Ages 16 to 19 years

In terms of unemployment among ages 16 to 19 years, the demographic groups most similar to Potawatomi are Samoan (17.2%, a difference of 0.0%), Arab (17.2%, a difference of 0.010%), Laotian (17.2%, a difference of 0.010%), German Russian (17.2%, a difference of 0.030%), and Immigrants from Oceania (17.2%, a difference of 0.060%). Similarly, the demographic groups most similar to Immigrants from Germany are Immigrants from Bolivia (17.2%, a difference of 0.10%), Syrian (17.1%, a difference of 0.11%), Immigrants from Laos (17.1%, a difference of 0.13%), Pakistani (17.2%, a difference of 0.20%), and Australian (17.2%, a difference of 0.22%).

Demographics	Rating \| Rank	Unemployment Among Ages 16 to 19 years
Hungarians	91.6 /100 \| #119	Exceptional 17.1%
Immigrants \| Middle Africa	90.9 /100 \| #120	Exceptional 17.1%
Immigrants \| Moldova	90.7 /100 \| #121	Exceptional 17.1%
Immigrants \| South Eastern Asia	90.7 /100 \| #122	Exceptional 17.1%
Immigrants \| Laos	88.8 /100 \| #123	Excellent 17.1%
Syrians	88.6 /100 \| #124	Excellent 17.1%
Immigrants \| Germany	87.7 /100 \| #125	Excellent 17.2%
Immigrants \| Bolivia	86.7 /100 \| #126	Excellent 17.2%
Pakistanis	85.8 /100 \| #127	Excellent 17.2%
Australians	85.6 /100 \| #128	Excellent 17.2%
Creek	85.5 /100 \| #129	Excellent 17.2%
Immigrants \| Indonesia	84.7 /100 \| #130	Excellent 17.2%
German Russians	84.1 /100 \| #131	Excellent 17.2%
Arabs	83.9 /100 \| #132	Excellent 17.2%
Laotians	83.9 /100 \| #133	Excellent 17.2%
Potawatomi	83.8 /100 \| #134	Excellent 17.2%
Samoans	83.7 /100 \| #135	Excellent 17.2%
Immigrants \| Oceania	83.1 /100 \| #136	Excellent 17.2%
Immigrants \| Malaysia	82.8 /100 \| #137	Excellent 17.2%
Bolivians	81.9 /100 \| #138	Excellent 17.3%
Immigrants \| Eritrea	81.1 /100 \| #139	Excellent 17.3%