Immigrants from Pakistan vs Lithuanian Child Poverty Among Boys Under 16

The statistical analysis conducted on geographies consisting of 280,699,242 people shows a weak positive correlation between the proportion of Immigrants from Pakistan and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.219 and weighted average of 14.3%. Similarly, the statistical analysis conducted on geographies consisting of 411,360,859 people shows a significant positive correlation between the proportion of Lithuanians and poverty level among boys under the age of 16 in the United States with a correlation coefficient (R) of 0.662 and weighted average of 14.0%, a difference of 2.8%.

Child Poverty Among Boys Under 16 Correlation Summary

Measurement	Immigrants from Pakistan	Lithuanian
Minimum	4.3%	7.6%
Maximum	61.4%	100.0%
Range	57.1%	92.4%
Mean	15.0%	26.4%
Median	12.6%	18.0%
Interquartile 25% (IQ1)	9.8%	11.5%
Interquartile 75% (IQ3)	17.2%	34.4%
Interquartile Range (IQR)	7.4%	22.9%
Standard Deviation (Sample)	9.0%	22.4%
Standard Deviation (Population)	8.9%	22.2%

Demographics Similar to Immigrants from Pakistan and Lithuanians by Child Poverty Among Boys Under 16

In terms of child poverty among boys under 16, the demographic groups most similar to Immigrants from Pakistan are Zimbabwean (14.3%, a difference of 0.0%), Immigrants from Serbia (14.3%, a difference of 0.050%), Polish (14.4%, a difference of 0.11%), Immigrants from Philippines (14.3%, a difference of 0.13%), and Laotian (14.3%, a difference of 0.17%). Similarly, the demographic groups most similar to Lithuanians are Korean (14.0%, a difference of 0.030%), Immigrants from Asia (13.9%, a difference of 0.090%), Immigrants from Australia (13.9%, a difference of 0.33%), Immigrants from Northern Europe (13.9%, a difference of 0.47%), and Croatian (14.0%, a difference of 0.53%).

Demographics	Rating \| Rank	Child Poverty Among Boys Under 16
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%
Immigrants \| Sweden	98.9 /100 \| #58	Exceptional 14.4%