Venezuelan vs Immigrants from Poland Female Poverty Among 18-24 Year Olds

The statistical analysis conducted on geographies consisting of 301,336,833 people shows a weak negative correlation between the proportion of Venezuelans and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of -0.270 and weighted average of 17.7%. Similarly, the statistical analysis conducted on geographies consisting of 296,317,413 people shows a mild positive correlation between the proportion of Immigrants from Poland and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.397 and weighted average of 17.1%, a difference of 3.5%.

Female Poverty Among 18-24 Year Olds Correlation Summary

Measurement	Venezuelan	Immigrants from Poland
Minimum	2.4%	3.8%
Maximum	31.1%	30.2%
Range	28.7%	26.5%
Mean	15.1%	14.8%
Median	15.3%	15.0%
Interquartile 25% (IQ1)	9.9%	8.9%
Interquartile 75% (IQ3)	18.9%	20.1%
Interquartile Range (IQR)	9.0%	11.2%
Standard Deviation (Sample)	6.4%	7.5%
Standard Deviation (Population)	6.4%	7.4%

Demographics Similar to Venezuelans and Immigrants from Poland by Female Poverty Among 18-24 Year Olds

In terms of female poverty among 18-24 year olds, the demographic groups most similar to Venezuelans are Colombian (17.7%, a difference of 0.14%), Immigrants from Fiji (17.7%, a difference of 0.24%), Portuguese (17.8%, a difference of 0.33%), Immigrants from South Eastern Asia (17.8%, a difference of 0.50%), and Immigrants from South Central Asia (17.6%, a difference of 0.57%). Similarly, the demographic groups most similar to Immigrants from Poland are Tongan (17.1%, a difference of 0.17%), Cuban (17.2%, a difference of 0.45%), Immigrants from Pakistan (17.0%, a difference of 0.66%), Peruvian (17.2%, a difference of 0.68%), and Thai (17.0%, a difference of 0.75%).

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%