Korean vs Immigrants from South Eastern Asia Female Poverty Among 18-24 Year Olds

The statistical analysis conducted on geographies consisting of 491,558,412 people shows a slight positive correlation between the proportion of Koreans and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.052 and weighted average of 16.9%. Similarly, the statistical analysis conducted on geographies consisting of 492,712,586 people shows a weak negative correlation between the proportion of Immigrants from South Eastern Asia and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of -0.250 and weighted average of 17.8%, a difference of 5.1%.

Female Poverty Among 18-24 Year Olds Correlation Summary

Measurement	Korean	Immigrants from South Eastern Asia
Minimum	0.85%	1.7%
Maximum	55.1%	32.8%
Range	54.3%	31.2%
Mean	14.6%	15.3%
Median	13.1%	16.1%
Interquartile 25% (IQ1)	10.1%	12.6%
Interquartile 75% (IQ3)	17.5%	17.9%
Interquartile Range (IQR)	7.4%	5.3%
Standard Deviation (Sample)	8.6%	5.1%
Standard Deviation (Population)	8.6%	5.1%

Demographics Similar to Koreans and Immigrants from South Eastern Asia by Female Poverty Among 18-24 Year Olds

In terms of female poverty among 18-24 year olds, the demographic groups most similar to Koreans are Thai (17.0%, a difference of 0.27%), Immigrants from Pakistan (17.0%, a difference of 0.36%), Immigrants from Poland (17.1%, a difference of 1.0%), Tongan (17.1%, a difference of 1.2%), and Cuban (17.2%, a difference of 1.5%). Similarly, the demographic groups most similar to Immigrants from South Eastern Asia are Portuguese (17.8%, a difference of 0.17%), Venezuelan (17.7%, a difference of 0.50%), Colombian (17.7%, a difference of 0.65%), Immigrants from Fiji (17.7%, a difference of 0.75%), and Immigrants from South Central Asia (17.6%, 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%