Indian (Asian) vs Immigrants from Oceania Female Poverty Among 18-24 Year Olds

The statistical analysis conducted on geographies consisting of 476,846,332 people shows a mild negative correlation between the proportion of Indians (Asian) and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of -0.306 and weighted average of 19.6%. Similarly, the statistical analysis conducted on geographies consisting of 299,979,017 people shows a substantial positive correlation between the proportion of Immigrants from Oceania and poverty level among females between the ages 18 and 24 in the United States with a correlation coefficient (R) of 0.577 and weighted average of 19.7%, a difference of 0.71%.

Female Poverty Among 18-24 Year Olds Correlation Summary

Measurement	Indian (Asian)	Immigrants from Oceania
Minimum	2.0%	10.9%
Maximum	44.1%	48.8%
Range	42.1%	37.9%
Mean	17.1%	21.1%
Median	17.4%	19.8%
Interquartile 25% (IQ1)	12.3%	15.3%
Interquartile 75% (IQ3)	21.4%	22.4%
Interquartile Range (IQR)	9.1%	7.0%
Standard Deviation (Sample)	6.8%	8.1%
Standard Deviation (Population)	6.8%	7.9%

Demographics Similar to Indians (Asian) and Immigrants from Oceania by Female Poverty Among 18-24 Year Olds

In terms of female poverty among 18-24 year olds, the demographic groups most similar to Indians (Asian) are Immigrants from Morocco (19.6%, a difference of 0.20%), Immigrants from Trinidad and Tobago (19.7%, a difference of 0.30%), Pennsylvania German (19.7%, a difference of 0.31%), Austrian (19.5%, a difference of 0.32%), and Panamanian (19.7%, a difference of 0.41%). Similarly, the demographic groups most similar to Immigrants from Oceania are Immigrants from Latin America (19.7%, a difference of 0.010%), Syrian (19.8%, a difference of 0.080%), Immigrants from Eastern Asia (19.8%, a difference of 0.12%), Immigrants from Austria (19.7%, a difference of 0.16%), and Yugoslavian (19.8%, a difference of 0.17%).

Demographics	Rating \| Rank	Female Poverty Among 18-24 Year Olds
Immigrants \| North America	92.1 /100 \| #134	Exceptional 19.5%
Soviet Union	92.0 /100 \| #135	Exceptional 19.5%
Russians	91.5 /100 \| #136	Exceptional 19.5%
Austrians	90.7 /100 \| #137	Exceptional 19.5%
Immigrants \| Morocco	89.9 /100 \| #138	Excellent 19.6%
Indians (Asian)	88.3 /100 \| #139	Excellent 19.6%
Immigrants \| Trinidad and Tobago	85.6 /100 \| #140	Excellent 19.7%
Pennsylvania Germans	85.5 /100 \| #141	Excellent 19.7%
Panamanians	84.6 /100 \| #142	Excellent 19.7%
Slavs	84.4 /100 \| #143	Excellent 19.7%
Immigrants \| Northern Africa	84.1 /100 \| #144	Excellent 19.7%
Canadians	83.8 /100 \| #145	Excellent 19.7%
Immigrants \| Bosnia and Herzegovina	83.6 /100 \| #146	Excellent 19.7%
Immigrants \| Austria	83.1 /100 \| #147	Excellent 19.7%
Immigrants \| Latin America	81.3 /100 \| #148	Excellent 19.7%
Immigrants \| Oceania	81.2 /100 \| #149	Excellent 19.7%
Syrians	80.2 /100 \| #150	Excellent 19.8%
Immigrants \| Eastern Asia	79.7 /100 \| #151	Good 19.8%
Yugoslavians	79.0 /100 \| #152	Good 19.8%
Immigrants \| Japan	78.1 /100 \| #153	Good 19.8%
Immigrants \| Zimbabwe	76.7 /100 \| #154	Good 19.8%