Carpatho Rusyn vs Immigrants from Hungary Female Poverty Among 25-34 Year Olds

The statistical analysis conducted on geographies consisting of 58,469,179 people shows a significant positive correlation between the proportion of Carpatho Rusyns and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.642 and weighted average of 12.8%. Similarly, the statistical analysis conducted on geographies consisting of 193,664,103 people shows a very strong positive correlation between the proportion of Immigrants from Hungary and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.816 and weighted average of 13.0%, a difference of 1.2%.

Female Poverty Among 25-34 Year Olds Correlation Summary

Measurement	Carpatho Rusyn	Immigrants from Hungary
Minimum	0.28%	8.4%
Maximum	54.5%	100.0%
Range	54.3%	91.6%
Mean	15.4%	30.6%
Median	13.4%	13.6%
Interquartile 25% (IQ1)	9.3%	12.6%
Interquartile 75% (IQ3)	20.4%	31.5%
Interquartile Range (IQR)	11.1%	18.9%
Standard Deviation (Sample)	10.6%	33.8%
Standard Deviation (Population)	10.5%	32.8%

Demographics Similar to Carpatho Rusyns and Immigrants from Hungary by Female Poverty Among 25-34 Year Olds

In terms of female poverty among 25-34 year olds, the demographic groups most similar to Carpatho Rusyns are Immigrants from Nepal (12.8%, a difference of 0.0%), Mongolian (12.8%, a difference of 0.010%), Immigrants from Kuwait (12.8%, a difference of 0.030%), Romanian (12.8%, a difference of 0.070%), and Immigrants from Western Asia (12.8%, a difference of 0.080%). Similarly, the demographic groups most similar to Immigrants from Hungary are Pakistani (13.0%, a difference of 0.020%), Serbian (13.0%, a difference of 0.14%), Immigrants from Uzbekistan (12.9%, a difference of 0.29%), Immigrants from North America (12.9%, a difference of 0.32%), and Syrian (12.9%, a difference of 0.43%).

Demographics	Rating \| Rank	Female Poverty Among 25-34 Year Olds
Chileans	93.2 /100 \| #116	Exceptional 12.8%
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%