Korean vs Immigrants from Philippines Child Poverty Among Boys Under 16

The statistical analysis conducted on geographies consisting of 498,598,673 people shows a poor positive correlation between the proportion of Koreans and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.167 and weighted average of 14.0%. Similarly, the statistical analysis conducted on geographies consisting of 461,906,754 people shows a poor positive correlation between the proportion of Immigrants from Philippines and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.132 and weighted average of 14.3%, a difference of 2.7%.

Child Poverty Among Boys Under 16 Correlation Summary

Measurement	Korean	Immigrants from Philippines
Minimum	1.9%	3.6%
Maximum	42.6%	52.9%
Range	40.6%	49.4%
Mean	13.2%	14.9%
Median	11.9%	12.9%
Interquartile 25% (IQ1)	8.7%	9.5%
Interquartile 75% (IQ3)	15.9%	15.7%
Interquartile Range (IQR)	7.2%	6.2%
Standard Deviation (Sample)	7.2%	9.1%
Standard Deviation (Population)	7.1%	9.0%

Demographics Similar to Koreans and Immigrants from Philippines by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Koreans are Lithuanian (14.0%, a difference of 0.030%), Immigrants from Asia (13.9%, a difference of 0.11%), Immigrants from Australia (13.9%, a difference of 0.36%), Immigrants from Northern Europe (13.9%, a difference of 0.49%), and Croatian (14.0%, a difference of 0.50%). Similarly, the demographic groups most similar to Immigrants from Philippines are Laotian (14.3%, a difference of 0.040%), Immigrants from Serbia (14.3%, a difference of 0.080%), Immigrants from Pakistan (14.3%, a difference of 0.13%), Zimbabwean (14.3%, a difference of 0.13%), and Polish (14.4%, a difference of 0.24%).

Demographics	Rating \| Rank	Child Poverty Among Boys Under 16
Immigrants \| Sri Lanka	99.6 /100 \| #37	Exceptional 13.9%
Immigrants \| Northern Europe	99.6 /100 \| #38	Exceptional 13.9%
Immigrants \| Australia	99.6 /100 \| #39	Exceptional 13.9%
Immigrants \| Asia	99.6 /100 \| #40	Exceptional 13.9%
Lithuanians	99.6 /100 \| #41	Exceptional 14.0%
Koreans	99.6 /100 \| #42	Exceptional 14.0%
Croatians	99.5 /100 \| #43	Exceptional 14.0%
Estonians	99.4 /100 \| #44	Exceptional 14.1%
Immigrants \| Scotland	99.4 /100 \| #45	Exceptional 14.1%
Greeks	99.4 /100 \| #46	Exceptional 14.1%
Immigrants \| Moldova	99.4 /100 \| #47	Exceptional 14.1%
Immigrants \| Indonesia	99.4 /100 \| #48	Exceptional 14.1%
Czechs	99.3 /100 \| #49	Exceptional 14.1%
Italians	99.2 /100 \| #50	Exceptional 14.2%
Immigrants \| Greece	99.2 /100 \| #51	Exceptional 14.2%
Laotians	99.0 /100 \| #52	Exceptional 14.3%
Immigrants \| Philippines	99.0 /100 \| #53	Exceptional 14.3%
Immigrants \| Serbia	99.0 /100 \| #54	Exceptional 14.3%
Immigrants \| Pakistan	99.0 /100 \| #55	Exceptional 14.3%
Zimbabweans	99.0 /100 \| #56	Exceptional 14.3%
Poles	98.9 /100 \| #57	Exceptional 14.4%