French American Indian vs Paiute Married-Couple Family Poverty

The statistical analysis conducted on geographies consisting of 131,492,938 people shows a poor positive correlation between the proportion of French American Indians and poverty level among married-couple families in the United States with a correlation coefficient (R) of 0.110 and weighted average of 5.5%. Similarly, the statistical analysis conducted on geographies consisting of 58,284,978 people shows a substantial positive correlation between the proportion of Paiute and poverty level among married-couple families in the United States with a correlation coefficient (R) of 0.514 and weighted average of 8.3%, a difference of 51.6%.

In terms of married-couple family poverty, the demographic groups most similar to French American Indians are Immigrants from Syria (5.5%, a difference of 0.14%), Immigrants from Africa (5.5%, a difference of 0.32%), Immigrants from Micronesia (5.5%, a difference of 0.35%), Nigerian (5.5%, a difference of 0.37%), and Immigrants from Thailand (5.5%, a difference of 0.44%).

In terms of married-couple family poverty, the demographic groups most similar to Paiute are Central American Indian (8.3%, a difference of 0.060%), Dominican (8.3%, a difference of 0.12%), Lumbee (8.3%, a difference of 0.59%), Native/Alaskan (8.2%, a difference of 1.3%), and Immigrants from Dominican Republic (8.4%, a difference of 1.3%).