Bolivian vs Immigrants from Venezuela Female Poverty Among 18-24 Year Olds

The statistical analysis conducted on geographies consisting of 182,623,221 people shows a poor positive correlation between the proportion of Bolivians and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.199 and weighted average of 17.4%. Similarly, the statistical analysis conducted on geographies consisting of 283,767,433 people shows a weak negative correlation between the proportion of Immigrants from Venezuela and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of -0.286 and weighted average of 17.4%, a difference of 0.0%.

Female Poverty Among 18-24 Year Olds Correlation Summary

Measurement	Bolivian	Immigrants from Venezuela
Minimum	2.6%	2.4%
Maximum	47.4%	25.7%
Range	44.8%	23.3%
Mean	16.9%	14.7%
Median	16.2%	16.0%
Interquartile 25% (IQ1)	11.4%	11.0%
Interquartile 75% (IQ3)	21.2%	19.2%
Interquartile Range (IQR)	9.8%	8.2%
Standard Deviation (Sample)	8.7%	5.9%
Standard Deviation (Population)	8.7%	5.8%

Demographics Similar to Bolivians and Immigrants from Venezuela by Female Poverty Among 18-24 Year Olds

In terms of female poverty among 18-24 year olds, the demographic groups most similar to Bolivians are Immigrants from Hong Kong (17.5%, a difference of 0.10%), Immigrants from Lithuania (17.4%, a difference of 0.13%), Immigrants from Colombia (17.3%, a difference of 0.54%), Immigrants from North Macedonia (17.6%, a difference of 0.67%), and Maltese (17.6%, a difference of 0.73%). Similarly, the demographic groups most similar to Immigrants from Venezuela are Immigrants from Hong Kong (17.5%, a difference of 0.10%), Immigrants from Lithuania (17.4%, a difference of 0.13%), Immigrants from Colombia (17.3%, a difference of 0.54%), Immigrants from North Macedonia (17.6%, a difference of 0.67%), and Maltese (17.6%, a difference of 0.73%).

Demographics	Rating \| Rank	Female Poverty Among 18-24 Year Olds
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%
Immigrants \| South Eastern Asia	100.0 /100 \| #30	Exceptional 17.8%