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

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%. Similarly, the statistical analysis conducted on geographies consisting of 408,743,198 people shows no correlation between the proportion of Colombians and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of -0.008 and weighted average of 17.7%, a difference of 4.0%.

Female Poverty Among 18-24 Year Olds Correlation Summary

Measurement	Immigrants from Pakistan	Colombian
Minimum	3.8%	2.5%
Maximum	47.5%	53.6%
Range	43.6%	51.0%
Mean	15.2%	15.8%
Median	13.7%	15.4%
Interquartile 25% (IQ1)	10.5%	11.6%
Interquartile 75% (IQ3)	18.5%	18.0%
Interquartile Range (IQR)	7.9%	6.4%
Standard Deviation (Sample)	8.0%	7.1%
Standard Deviation (Population)	8.0%	7.1%

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

In terms of female poverty among 18-24 year olds, 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%), Immigrants from Peru (16.9%, a difference of 0.72%), and Tongan (17.1%, a difference of 0.83%). Similarly, the demographic groups most similar to Colombians are Immigrants from Fiji (17.7%, a difference of 0.11%), Venezuelan (17.7%, a difference of 0.14%), Immigrants from South Central Asia (17.6%, a difference of 0.43%), Portuguese (17.8%, a difference of 0.47%), and Maltese (17.6%, a difference of 0.61%).

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%