Immigrants from Congo vs Australian Unemployment Among Ages 20 to 24 years

The statistical analysis conducted on geographies consisting of 91,573,819 people shows a poor positive correlation between the proportion of Immigrants from Congo and unemployment rate among population between the ages 20 and 24 in the United States with a correlation coefficient (R) of 0.187 and weighted average of 9.2%. Similarly, the statistical analysis conducted on geographies consisting of 219,577,245 people shows a poor positive correlation between the proportion of Australians and unemployment rate among population between the ages 20 and 24 in the United States with a correlation coefficient (R) of 0.107 and weighted average of 9.6%, a difference of 3.5%.

Unemployment Among Ages 20 to 24 years Correlation Summary

Measurement	Immigrants from Congo	Australian
Minimum	2.3%	4.7%
Maximum	38.5%	38.5%
Range	36.2%	33.8%
Mean	9.8%	11.7%
Median	9.1%	9.6%
Interquartile 25% (IQ1)	6.9%	6.9%
Interquartile 75% (IQ3)	11.0%	13.4%
Interquartile Range (IQR)	4.0%	6.5%
Standard Deviation (Sample)	6.2%	7.1%
Standard Deviation (Population)	6.2%	7.0%

Demographics Similar to Immigrants from Congo and Australians by Unemployment Among Ages 20 to 24 years

In terms of unemployment among ages 20 to 24 years, the demographic groups most similar to Immigrants from Congo are Slovene (9.3%, a difference of 0.38%), Immigrants from Sudan (9.3%, a difference of 0.41%), Danish (9.3%, a difference of 0.57%), Czech (9.3%, a difference of 1.1%), and Chinese (9.4%, a difference of 1.5%). Similarly, the demographic groups most similar to Australians are Cambodian (9.5%, a difference of 0.11%), Immigrants from Eastern Africa (9.5%, a difference of 0.16%), Scandinavian (9.5%, a difference of 0.24%), Immigrants from North Macedonia (9.5%, a difference of 0.26%), and Immigrants from Afghanistan (9.5%, a difference of 0.27%).

Demographics	Rating \| Rank	Unemployment Among Ages 20 to 24 years
Immigrants \| Congo	100.0 /100 \| #13	Exceptional 9.2%
Slovenes	100.0 /100 \| #14	Exceptional 9.3%
Immigrants \| Sudan	100.0 /100 \| #15	Exceptional 9.3%
Danes	100.0 /100 \| #16	Exceptional 9.3%
Czechs	100.0 /100 \| #17	Exceptional 9.3%
Chinese	100.0 /100 \| #18	Exceptional 9.4%
Hmong	100.0 /100 \| #19	Exceptional 9.4%
Osage	100.0 /100 \| #20	Exceptional 9.4%
Immigrants \| Bosnia and Herzegovina	100.0 /100 \| #21	Exceptional 9.4%
Tongans	100.0 /100 \| #22	Exceptional 9.4%
Immigrants \| Nepal	100.0 /100 \| #23	Exceptional 9.4%
Taiwanese	100.0 /100 \| #24	Exceptional 9.4%
Immigrants \| Eritrea	100.0 /100 \| #25	Exceptional 9.5%
Swedes	100.0 /100 \| #26	Exceptional 9.5%
Immigrants \| Zimbabwe	100.0 /100 \| #27	Exceptional 9.5%
Immigrants \| Afghanistan	100.0 /100 \| #28	Exceptional 9.5%
Immigrants \| North Macedonia	100.0 /100 \| #29	Exceptional 9.5%
Scandinavians	100.0 /100 \| #30	Exceptional 9.5%
Immigrants \| Eastern Africa	100.0 /100 \| #31	Exceptional 9.5%
Cambodians	100.0 /100 \| #32	Exceptional 9.5%
Australians	100.0 /100 \| #33	Exceptional 9.6%