Central American Indian vs Peruvian Married-Couple Family Poverty

The statistical analysis conducted on geographies consisting of 324,694,241 people shows a substantial positive correlation between the proportion of Central American Indians and poverty level among married-couple families in the United States with a correlation coefficient (R) of 0.573 and weighted average of 8.3%. Similarly, the statistical analysis conducted on geographies consisting of 360,614,929 people shows a very strong positive correlation between the proportion of Peruvians and poverty level among married-couple families in the United States with a correlation coefficient (R) of 0.865 and weighted average of 5.3%, a difference of 56.7%.

In terms of married-couple family poverty, the demographic groups most similar to Central American Indians are Paiute (8.3%, a difference of 0.060%), Dominican (8.3%, a difference of 0.060%), Lumbee (8.3%, a difference of 0.53%), Immigrants from Dominican Republic (8.4%, a difference of 1.2%), and Native/Alaskan (8.2%, a difference of 1.3%).

In terms of married-couple family poverty, the demographic groups most similar to Peruvians are Immigrants from Vietnam (5.3%, a difference of 0.010%), Immigrants from Chile (5.3%, a difference of 0.14%), Immigrants from Sierra Leone (5.3%, a difference of 0.20%), Nonimmigrants (5.3%, a difference of 0.22%), and American (5.3%, a difference of 0.28%).