Bangladeshi vs Immigrants from Western Africa Community Comparison

The statistical analysis conducted on geographies consisting of 120,614,464 people shows a weak positive correlation between the proportion of Immigrants from Western Africa within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.252. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.079% in Immigrants from Western Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 79.5 Immigrants from Western Africa.

When considering income, the most significant differences between Bangladeshi and Immigrants from Western Africa communities in the United States are seen in per capita income ($35,897 compared to $40,294, a difference of 12.2%), median female earnings ($35,960 compared to $39,351, a difference of 9.4%), and median male earnings ($46,744 compared to $50,940, a difference of 9.0%). Conversely, both communities are more comparable in terms of wage/income gap (22.2% compared to 22.0%, a difference of 0.53%), householder income under 25 years ($47,589 compared to $49,621, a difference of 4.3%), and householder income over 65 years ($54,719 compared to $57,119, a difference of 4.4%).

When considering poverty, the most significant differences between Bangladeshi and Immigrants from Western Africa communities in the United States are seen in seniors poverty over the age of 75 (12.0% compared to 13.9%, a difference of 16.2%), seniors poverty over the age of 65 (11.2% compared to 12.6%, a difference of 12.2%), and single female poverty (24.2% compared to 22.0%, a difference of 10.1%). Conversely, both communities are more comparable in terms of family poverty (10.9% compared to 10.7%, a difference of 1.4%), single male poverty (13.3% compared to 13.1%, a difference of 2.2%), and receiving food stamps (15.0% compared to 14.7%, a difference of 2.4%).

When considering unemployment, the most significant differences between Bangladeshi and Immigrants from Western Africa communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 10.1%, a difference of 36.8%), unemployment among ages 20 to 24 years (10.0% compared to 11.7%, a difference of 17.6%), and unemployment among women with children under 18 years (5.3% compared to 6.2%, a difference of 16.1%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.6% compared to 9.8%, a difference of 1.8%), unemployment among seniors over 65 years (5.2% compared to 5.4%, a difference of 5.1%), and unemployment among ages 65 to 74 years (5.3% compared to 5.6%, a difference of 5.6%).

When considering labor participation, the most significant differences between Bangladeshi and Immigrants from Western Africa communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 36.9%, a difference of 15.1%), in labor force | age 20-24 (78.1% compared to 75.1%, a difference of 4.0%), and in labor force | age 45-54 (81.3% compared to 82.8%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 84.7%, a difference of 0.43%), in labor force | age 35-44 (84.1% compared to 84.7%, a difference of 0.73%), and in labor force | age 30-34 (84.3% compared to 85.0%, a difference of 0.79%).

When considering family structure, the most significant differences between Bangladeshi and Immigrants from Western Africa communities in the United States are seen in single father households (3.1% compared to 2.4%, a difference of 25.4%), family households with children (30.1% compared to 28.3%, a difference of 6.4%), and married-couple households (43.5% compared to 41.4%, a difference of 5.2%). Conversely, both communities are more comparable in terms of divorced or separated (12.3% compared to 12.3%, a difference of 0.11%), single mother households (8.1% compared to 8.2%, a difference of 0.31%), and family households (64.3% compared to 63.1%, a difference of 1.8%).

When considering vehicle availability, the most significant differences between Bangladeshi and Immigrants from Western Africa communities in the United States are seen in no vehicles in household (8.7% compared to 15.0%, a difference of 73.1%), 4 or more vehicles in household (7.6% compared to 5.4%, a difference of 39.7%), and 3 or more vehicles in household (21.9% compared to 16.9%, a difference of 29.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 84.9%, a difference of 7.6%), 2 or more vehicles in household (58.4% compared to 49.4%, a difference of 18.4%), and 3 or more vehicles in household (21.9% compared to 16.9%, a difference of 29.2%).

When considering education level, the most significant differences between Bangladeshi and Immigrants from Western Africa communities in the United States are seen in doctorate degree (1.2% compared to 1.7%, a difference of 42.4%), no schooling completed (3.5% compared to 2.6%, a difference of 37.4%), and master's degree (10.5% compared to 14.4%, a difference of 37.4%). Conversely, both communities are more comparable in terms of 11th grade (90.9% compared to 91.2%, a difference of 0.34%), 9th grade (93.4% compared to 93.8%, a difference of 0.36%), and 10th grade (92.2% compared to 92.5%, a difference of 0.36%).

When considering disability, the most significant differences between Bangladeshi and Immigrants from Western Africa communities in the United States are seen in hearing disability (3.2% compared to 2.6%, a difference of 21.0%), disability age 35 to 64 (13.6% compared to 12.0%, a difference of 13.2%), and self-care disability (2.8% compared to 2.5%, a difference of 11.7%). Conversely, both communities are more comparable in terms of cognitive disability (18.6% compared to 18.4%, a difference of 1.3%), ambulatory disability (6.3% compared to 6.2%, a difference of 1.5%), and disability age 5 to 17 (5.8% compared to 5.9%, a difference of 2.3%).