Cuban vs Immigrants from North Macedonia Female Poverty Among 18-24 Year Olds

The statistical analysis conducted on geographies consisting of 436,191,738 people shows a mild negative correlation between the proportion of Cubans and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of -0.367 and weighted average of 17.2%. Similarly, the statistical analysis conducted on geographies consisting of 73,458,118 people shows no correlation between the proportion of Immigrants from North Macedonia and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.001 and weighted average of 17.6%, a difference of 2.2%.

Female Poverty Among 18-24 Year Olds Correlation Summary

Measurement	Cuban	Immigrants from North Macedonia
Minimum	0.55%	0.76%
Maximum	33.5%	33.9%
Range	32.9%	33.1%
Mean	15.2%	15.9%
Median	15.7%	14.7%
Interquartile 25% (IQ1)	9.6%	9.9%
Interquartile 75% (IQ3)	19.4%	20.8%
Interquartile Range (IQR)	9.7%	10.9%
Standard Deviation (Sample)	7.0%	8.4%
Standard Deviation (Population)	7.0%	8.3%

Demographics Similar to Cubans and Immigrants from North Macedonia by Female Poverty Among 18-24 Year Olds

In terms of female poverty among 18-24 year olds, the demographic groups most similar to Cubans are Peruvian (17.2%, a difference of 0.23%), Tongan (17.1%, a difference of 0.28%), Immigrants from Poland (17.1%, a difference of 0.45%), Immigrants from Taiwan (17.3%, a difference of 0.48%), and Immigrants from Colombia (17.3%, a difference of 0.94%). Similarly, the demographic groups most similar to Immigrants from North Macedonia are Maltese (17.6%, a difference of 0.060%), Immigrants from South Central Asia (17.6%, a difference of 0.25%), Immigrants from Hong Kong (17.5%, a difference of 0.56%), Immigrants from Fiji (17.7%, a difference of 0.57%), and Immigrants from Venezuela (17.4%, a difference of 0.67%).

Demographics	Rating \| Rank	Female Poverty Among 18-24 Year Olds
Immigrants \| Peru	100.0 /100 \| #9	Exceptional 16.9%
Koreans	100.0 /100 \| #10	Exceptional 16.9%
Thais	100.0 /100 \| #11	Exceptional 17.0%
Immigrants \| Pakistan	100.0 /100 \| #12	Exceptional 17.0%
Immigrants \| Poland	100.0 /100 \| #13	Exceptional 17.1%
Tongans	100.0 /100 \| #14	Exceptional 17.1%
Cubans	100.0 /100 \| #15	Exceptional 17.2%
Peruvians	100.0 /100 \| #16	Exceptional 17.2%
Immigrants \| Taiwan	100.0 /100 \| #17	Exceptional 17.3%
Immigrants \| Colombia	100.0 /100 \| #18	Exceptional 17.3%
Immigrants \| Lithuania	100.0 /100 \| #19	Exceptional 17.4%
Immigrants \| Venezuela	100.0 /100 \| #20	Exceptional 17.4%
Bolivians	100.0 /100 \| #21	Exceptional 17.4%
Immigrants \| Hong Kong	100.0 /100 \| #22	Exceptional 17.5%
Immigrants \| North Macedonia	100.0 /100 \| #23	Exceptional 17.6%
Maltese	100.0 /100 \| #24	Exceptional 17.6%
Immigrants \| South Central Asia	100.0 /100 \| #25	Exceptional 17.6%
Immigrants \| Fiji	100.0 /100 \| #26	Exceptional 17.7%
Colombians	100.0 /100 \| #27	Exceptional 17.7%
Venezuelans	100.0 /100 \| #28	Exceptional 17.7%
Portuguese	100.0 /100 \| #29	Exceptional 17.8%