Immigrants from Chile vs Mongolian Female Poverty Among 25-34 Year Olds

The statistical analysis conducted on geographies consisting of 216,631,317 people shows a mild positive correlation between the proportion of Immigrants from Chile and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.337 and weighted average of 13.1%. Similarly, the statistical analysis conducted on geographies consisting of 139,569,877 people shows a weak positive correlation between the proportion of Mongolians and poverty level among females between the ages 25 and 34 in the United States with a correlation coefficient (R) of 0.287 and weighted average of 12.8%, a difference of 1.9%.

Female Poverty Among 25-34 Year Olds Correlation Summary

Measurement	Immigrants from Chile	Mongolian
Minimum	3.1%	2.2%
Maximum	25.7%	43.5%
Range	22.6%	41.3%
Mean	14.0%	14.9%
Median	13.2%	12.7%
Interquartile 25% (IQ1)	11.7%	7.8%
Interquartile 75% (IQ3)	16.9%	16.7%
Interquartile Range (IQR)	5.2%	8.9%
Standard Deviation (Sample)	5.6%	10.0%
Standard Deviation (Population)	5.5%	9.9%

Demographics Similar to Immigrants from Chile and Mongolians 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 Chile are Immigrants from England (13.0%, a difference of 0.16%), South African (13.0%, a difference of 0.18%), Afghan (13.0%, a difference of 0.20%), Serbian (13.0%, a difference of 0.55%), and Immigrants from Hungary (13.0%, a difference of 0.69%). Similarly, the demographic groups most similar to Mongolians are Immigrants from Kuwait (12.8%, a difference of 0.010%), Immigrants from Nepal (12.8%, a difference of 0.010%), Carpatho Rusyn (12.8%, a difference of 0.010%), Romanian (12.8%, a difference of 0.080%), and Immigrants from Western Asia (12.8%, a difference of 0.10%).

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%