Immigrants from Bangladesh vs Potawatomi Community Comparison

The statistical analysis conducted on geographies consisting of 75,661,485 people shows a substantial positive correlation between the proportion of Potawatomi within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of 0.531. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is an increase of 0.191% in Potawatomi. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to an increase of 191.3 Potawatomi.

When considering income, the most significant differences between Immigrants from Bangladesh and Potawatomi communities in the United States are seen in wage/income gap (20.9% compared to 27.7%, a difference of 32.4%), householder income under 25 years ($54,714 compared to $46,462, a difference of 17.8%), and median female earnings ($39,910 compared to $34,739, a difference of 14.9%). Conversely, both communities are more comparable in terms of householder income over 65 years ($55,394 compared to $54,212, a difference of 2.2%), median male earnings ($51,642 compared to $48,768, a difference of 5.9%), and median family income ($94,665 compared to $88,265, a difference of 7.2%).

When considering poverty, the most significant differences between Immigrants from Bangladesh and Potawatomi communities in the United States are seen in married-couple family poverty (7.5% compared to 5.5%, a difference of 35.7%), seniors poverty over the age of 75 (15.8% compared to 12.1%, a difference of 30.4%), and seniors poverty over the age of 65 (14.1% compared to 10.8%, a difference of 30.2%). Conversely, both communities are more comparable in terms of child poverty among boys under 16 (19.9% compared to 19.4%, a difference of 2.8%), child poverty among girls under 16 (19.9% compared to 19.2%, a difference of 3.4%), and child poverty under the age of 16 (19.8% compared to 19.0%, a difference of 4.1%).

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Potawatomi communities in the United States are seen in unemployment among ages 60 to 64 years (6.0% compared to 4.6%, a difference of 28.1%), unemployment (6.5% compared to 5.2%, a difference of 25.3%), and unemployment among ages 16 to 19 years (21.5% compared to 17.2%, a difference of 24.6%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.8% compared to 8.5%, a difference of 3.8%), unemployment among ages 30 to 34 years (6.4% compared to 6.0%, a difference of 6.4%), and unemployment among ages 25 to 29 years (7.5% compared to 7.1%, a difference of 6.5%).

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Potawatomi communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 40.0%, a difference of 33.2%), in labor force | age 20-24 (70.6% compared to 76.2%, a difference of 7.9%), and in labor force | age > 16 (64.5% compared to 62.8%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.0% compared to 82.9%, a difference of 0.060%), in labor force | age 35-44 (82.9% compared to 82.7%, a difference of 0.28%), and in labor force | age 20-64 (77.9% compared to 77.2%, a difference of 0.87%).

When considering family structure, the most significant differences between Immigrants from Bangladesh and Potawatomi communities in the United States are seen in divorced or separated (11.0% compared to 13.5%, a difference of 22.7%), single father households (2.1% compared to 2.5%, a difference of 21.7%), and births to unmarried women (30.9% compared to 36.2%, a difference of 17.3%). Conversely, both communities are more comparable in terms of family households (63.9% compared to 63.3%, a difference of 0.88%), family households with children (27.6% compared to 26.9%, a difference of 2.5%), and single mother households (6.9% compared to 6.6%, a difference of 4.1%).

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Potawatomi communities in the United States are seen in no vehicles in household (25.8% compared to 8.8%, a difference of 191.3%), 4 or more vehicles in household (3.9% compared to 7.3%, a difference of 86.7%), and 3 or more vehicles in household (12.5% compared to 21.9%, a difference of 74.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 91.3%, a difference of 22.9%), 2 or more vehicles in household (38.8% compared to 58.0%, a difference of 49.5%), and 3 or more vehicles in household (12.5% compared to 21.9%, a difference of 74.7%).

When considering education level, the most significant differences between Immigrants from Bangladesh and Potawatomi communities in the United States are seen in no schooling completed (3.1% compared to 1.7%, a difference of 79.9%), master's degree (15.5% compared to 12.1%, a difference of 28.2%), and professional degree (4.4% compared to 3.6%, a difference of 24.8%). Conversely, both communities are more comparable in terms of college, under 1 year (61.3% compared to 61.8%, a difference of 0.81%), nursery school (96.9% compared to 98.3%, a difference of 1.5%), and kindergarten (96.8% compared to 98.3%, a difference of 1.5%).

When considering disability, the most significant differences between Immigrants from Bangladesh and Potawatomi communities in the United States are seen in hearing disability (2.4% compared to 4.1%, a difference of 69.9%), disability age under 5 (0.85% compared to 1.4%, a difference of 60.2%), and disability age 18 to 34 (5.6% compared to 8.2%, a difference of 45.8%). Conversely, both communities are more comparable in terms of self-care disability (2.6% compared to 2.6%, a difference of 0.36%), cognitive disability (17.8% compared to 18.0%, a difference of 0.98%), and disability age over 75 (48.0% compared to 49.0%, a difference of 2.1%).