Portuguese vs Immigrants from Pakistan Female Poverty Among 18-24 Year Olds

The statistical analysis conducted on geographies consisting of 434,541,254 people shows a slight negative correlation between the proportion of Portuguese and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of -0.054 and weighted average of 17.8%. Similarly, the statistical analysis conducted on geographies consisting of 279,566,412 people shows no correlation between the proportion of Immigrants from Pakistan and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.041 and weighted average of 17.0%, a difference of 4.5%.

Female Poverty Among 18-24 Year Olds Correlation Summary

Measurement	Portuguese	Immigrants from Pakistan
Minimum	0.57%	3.8%
Maximum	56.8%	47.5%
Range	56.3%	43.6%
Mean	16.1%	15.2%
Median	15.2%	13.7%
Interquartile 25% (IQ1)	10.7%	10.5%
Interquartile 75% (IQ3)	20.1%	18.5%
Interquartile Range (IQR)	9.5%	7.9%
Standard Deviation (Sample)	9.9%	8.0%
Standard Deviation (Population)	9.8%	8.0%

Demographics Similar to Portuguese and Immigrants from Pakistan by Female Poverty Among 18-24 Year Olds

In terms of female poverty among 18-24 year olds, the demographic groups most similar to Portuguese are Immigrants from South Eastern Asia (17.8%, a difference of 0.17%), Venezuelan (17.7%, a difference of 0.33%), Colombian (17.7%, a difference of 0.47%), Immigrants from Fiji (17.7%, a difference of 0.58%), and Immigrants from South Central Asia (17.6%, a difference of 0.90%). Similarly, the demographic groups most similar to Immigrants from Pakistan are Thai (17.0%, a difference of 0.090%), Korean (16.9%, a difference of 0.36%), Immigrants from Poland (17.1%, a difference of 0.66%), Tongan (17.1%, a difference of 0.83%), and Cuban (17.2%, a difference of 1.1%).

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%