Czechoslovakian vs Central American Indian Married-Couple Family Poverty

The statistical analysis conducted on geographies consisting of 364,959,932 people shows a weak positive correlation between the proportion of Czechoslovakians and poverty level among married-couple families in the United States with a correlation coefficient (R) of 0.270 and weighted average of 4.4%. Similarly, 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%, a difference of 90.7%.

In terms of married-couple family poverty, the demographic groups most similar to Czechoslovakians are Immigrants from Zimbabwe (4.3%, a difference of 0.090%), Immigrants from Netherlands (4.3%, a difference of 0.090%), French (4.3%, a difference of 0.24%), Austrian (4.3%, a difference of 0.27%), and Welsh (4.3%, a difference of 0.53%).

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%).