Immigrants from Netherlands vs Pakistani Female Poverty Among 25-34 Year Olds

The statistical analysis conducted on geographies consisting of 234,780,200 people shows a strong positive correlation between the proportion of Immigrants from Netherlands and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.747 and weighted average of 12.8%. Similarly, the statistical analysis conducted on geographies consisting of 332,087,922 people shows a substantial positive correlation between the proportion of Pakistanis and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.578 and weighted average of 13.0%, a difference of 0.90%.

Female Poverty Among 25-34 Year Olds Correlation Summary

Measurement	Immigrants from Netherlands	Pakistani
Minimum	2.7%	2.6%
Maximum	100.0%	100.0%
Range	97.3%	97.4%
Mean	30.8%	21.5%
Median	14.2%	13.9%
Interquartile 25% (IQ1)	11.1%	11.8%
Interquartile 75% (IQ3)	34.4%	24.9%
Interquartile Range (IQR)	23.3%	13.1%
Standard Deviation (Sample)	32.5%	19.5%
Standard Deviation (Population)	32.0%	19.4%

Demographics Similar to Immigrants from Netherlands and Pakistanis by Female Poverty Among 25-34 Year Olds

In terms of female poverty among 25-34 year olds, the demographic groups most similar to Immigrants from Netherlands are Immigrants from Canada (12.9%, a difference of 0.15%), Slovene (12.8%, a difference of 0.22%), Immigrants from Fiji (12.9%, a difference of 0.23%), Immigrants from Western Asia (12.8%, a difference of 0.24%), and Romanian (12.8%, a difference of 0.26%). Similarly, the demographic groups most similar to Pakistanis are Immigrants from Hungary (13.0%, a difference of 0.020%), Serbian (13.0%, a difference of 0.15%), Immigrants from Uzbekistan (12.9%, a difference of 0.27%), Immigrants from North America (12.9%, a difference of 0.30%), and Syrian (12.9%, a difference of 0.42%).

Demographics	Rating \| Rank	Female Poverty Among 25-34 Year Olds
Immigrants \| Kuwait	93.1 /100 \| #117	Exceptional 12.8%
Mongolians	93.0 /100 \| #118	Exceptional 12.8%
Immigrants \| Nepal	93.0 /100 \| #119	Exceptional 12.8%
Carpatho Rusyns	93.0 /100 \| #120	Exceptional 12.8%
Romanians	92.8 /100 \| #121	Exceptional 12.8%
Immigrants \| Western Asia	92.7 /100 \| #122	Exceptional 12.8%
Slovenes	92.7 /100 \| #123	Exceptional 12.8%
Immigrants \| Netherlands	92.0 /100 \| #124	Exceptional 12.8%
Immigrants \| Canada	91.5 /100 \| #125	Exceptional 12.9%
Immigrants \| Fiji	91.2 /100 \| #126	Exceptional 12.9%
Czechs	90.3 /100 \| #127	Exceptional 12.9%
Syrians	90.2 /100 \| #128	Exceptional 12.9%
Immigrants \| North America	89.7 /100 \| #129	Excellent 12.9%
Immigrants \| Uzbekistan	89.6 /100 \| #130	Excellent 12.9%
Pakistanis	88.4 /100 \| #131	Excellent 13.0%
Immigrants \| Hungary	88.3 /100 \| #132	Excellent 13.0%
Serbians	87.6 /100 \| #133	Excellent 13.0%
Afghans	85.8 /100 \| #134	Excellent 13.0%
South Africans	85.7 /100 \| #135	Excellent 13.0%
Immigrants \| England	85.5 /100 \| #136	Excellent 13.0%
Immigrants \| Chile	84.6 /100 \| #137	Excellent 13.1%