Immigrants from South Eastern Asia vs Potawatomi Community Comparison

The statistical analysis conducted on geographies consisting of 115,500,615 people shows a poor positive correlation between the proportion of Potawatomi within Immigrant from South Eastern Asia communities in the United States with a correlation coefficient (R) of 0.164. On average, for every 1% (one percent) increase in Immigrants from South Eastern Asia within a typical geography, there is an increase of 0.001% in Potawatomi. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South Eastern Asia corresponds to an increase of 1.2 Potawatomi.

When considering income, the most significant differences between Immigrants from South Eastern Asia and Potawatomi communities in the United States are seen in median household income ($91,541 compared to $72,576, a difference of 26.1%), householder income ages 45 - 64 years ($106,109 compared to $84,613, a difference of 25.4%), and householder income ages 25 - 44 years ($100,283 compared to $81,774, a difference of 22.6%). Conversely, both communities are more comparable in terms of wage/income gap (24.8% compared to 27.7%, a difference of 11.8%), median male earnings ($55,241 compared to $48,768, a difference of 13.3%), and per capita income ($43,539 compared to $38,046, a difference of 14.4%).

When considering poverty, the most significant differences between Immigrants from South Eastern Asia and Potawatomi communities in the United States are seen in single male poverty (11.4% compared to 15.8%, a difference of 37.8%), child poverty under the age of 5 (15.7% compared to 21.0%, a difference of 34.0%), and female poverty among 18-24 year olds (17.8% compared to 23.7%, a difference of 33.2%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.8% compared to 10.8%, a difference of 0.050%), seniors poverty over the age of 75 (12.2% compared to 12.1%, a difference of 1.1%), and married-couple family poverty (5.1% compared to 5.5%, a difference of 8.4%).

When considering unemployment, the most significant differences between Immigrants from South Eastern Asia and Potawatomi communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 9.6%, a difference of 33.5%), unemployment among ages 30 to 34 years (5.4% compared to 6.0%, a difference of 11.8%), and unemployment among seniors over 75 years (8.5% compared to 7.8%, a difference of 9.1%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.040%), unemployment among youth under 25 years (11.6% compared to 11.6%, a difference of 0.26%), and male unemployment (5.4% compared to 5.3%, a difference of 0.63%).

When considering labor participation, the most significant differences between Immigrants from South Eastern Asia and Potawatomi communities in the United States are seen in in labor force | age 16-19 (35.6% compared to 40.0%, a difference of 12.5%), in labor force | age > 16 (65.9% compared to 62.8%, a difference of 4.9%), and in labor force | age 45-54 (82.8% compared to 80.0%, a difference of 3.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (75.1% compared to 76.2%, a difference of 1.4%), in labor force | age 35-44 (84.2% compared to 82.7%, a difference of 1.8%), and in labor force | age 25-29 (84.4% compared to 82.9%, a difference of 1.8%).

When considering family structure, the most significant differences between Immigrants from South Eastern Asia and Potawatomi communities in the United States are seen in births to unmarried women (30.4% compared to 36.2%, a difference of 19.4%), divorced or separated (11.4% compared to 13.5%, a difference of 17.9%), and family households with children (29.1% compared to 26.9%, a difference of 8.3%). Conversely, both communities are more comparable in terms of currently married (47.1% compared to 46.5%, a difference of 1.2%), single father households (2.4% compared to 2.5%, a difference of 4.6%), and single mother households (6.3% compared to 6.6%, a difference of 4.9%).

When considering vehicle availability, the most significant differences between Immigrants from South Eastern Asia and Potawatomi communities in the United States are seen in 4 or more vehicles in household (8.2% compared to 7.3%, a difference of 13.0%), 3 or more vehicles in household (23.1% compared to 21.9%, a difference of 5.6%), and no vehicles in household (8.6% compared to 8.8%, a difference of 2.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 91.3%, a difference of 0.16%), no vehicles in household (8.6% compared to 8.8%, a difference of 2.8%), and 2 or more vehicles in household (59.6% compared to 58.0%, a difference of 2.8%).

When considering education level, the most significant differences between Immigrants from South Eastern Asia and Potawatomi communities in the United States are seen in no schooling completed (2.9% compared to 1.7%, a difference of 65.7%), master's degree (14.0% compared to 12.1%, a difference of 15.8%), and bachelor's degree (36.8% compared to 31.9%, a difference of 15.6%). Conversely, both communities are more comparable in terms of ged/equivalency (84.1% compared to 84.7%, a difference of 0.66%), nursery school (97.1% compared to 98.3%, a difference of 1.2%), and kindergarten (97.1% compared to 98.3%, a difference of 1.2%).

When considering disability, the most significant differences between Immigrants from South Eastern Asia and Potawatomi communities in the United States are seen in disability age 35 to 64 (10.6% compared to 14.8%, a difference of 39.6%), hearing disability (3.0% compared to 4.1%, a difference of 39.3%), and disability age 18 to 34 (6.3% compared to 8.2%, a difference of 30.9%). Conversely, both communities are more comparable in terms of disability age over 75 (48.7% compared to 49.0%, a difference of 0.75%), self-care disability (2.5% compared to 2.6%, a difference of 4.7%), and cognitive disability (17.0% compared to 18.0%, a difference of 5.8%).