Potawatomi vs Immigrants from Poland 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 290,013,862 people shows a moderate negative correlation between the proportion of Immigrants from Poland and unemployment rate among population between the ages 16 and 19 in the United States with a correlation coefficient (R) of -0.446 and weighted average of 17.0%, a difference of 1.2%.

Unemployment Among Ages 16 to 19 years Correlation Summary

Measurement	Potawatomi	Immigrants from Poland
Minimum	3.3%	4.3%
Maximum	53.0%	28.3%
Range	49.7%	24.0%
Mean	20.0%	15.1%
Median	19.3%	14.1%
Interquartile 25% (IQ1)	15.1%	9.5%
Interquartile 75% (IQ3)	22.7%	18.9%
Interquartile Range (IQR)	7.6%	9.4%
Standard Deviation (Sample)	11.2%	6.8%
Standard Deviation (Population)	11.0%	6.7%

Demographics Similar to Potawatomi and Immigrants from Poland 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 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%), Immigrants from Indonesia (17.2%, a difference of 0.080%), and Creek (17.2%, a difference of 0.16%). Similarly, the demographic groups most similar to Immigrants from Poland are Brazilian (17.1%, a difference of 0.14%), Immigrants from Korea (17.1%, a difference of 0.16%), Immigrants from Sri Lanka (17.1%, a difference of 0.19%), Venezuelan (17.1%, a difference of 0.22%), and Hungarian (17.1%, a difference of 0.25%).

Demographics	Rating \| Rank	Unemployment Among Ages 16 to 19 years
Immigrants \| Poland	93.1 /100 \| #114	Exceptional 17.0%
Brazilians	92.3 /100 \| #115	Exceptional 17.1%
Immigrants \| Korea	92.2 /100 \| #116	Exceptional 17.1%
Immigrants \| Sri Lanka	92.0 /100 \| #117	Exceptional 17.1%
Venezuelans	91.8 /100 \| #118	Exceptional 17.1%
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%