Bangladeshi vs Immigrants from Middle Africa Community Comparison

The statistical analysis conducted on geographies consisting of 88,040,802 people shows a moderate positive correlation between the proportion of Immigrants from Middle Africa within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.470. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.010% in Immigrants from Middle Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 9.9 Immigrants from Middle Africa.

When considering income, the most significant differences between Bangladeshi and Immigrants from Middle Africa communities in the United States are seen in per capita income ($35,897 compared to $39,529, a difference of 10.1%), householder income over 65 years ($54,719 compared to $58,375, a difference of 6.7%), and median family income ($88,358 compared to $93,593, a difference of 5.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $47,916, a difference of 0.69%), wage/income gap (22.2% compared to 22.4%, a difference of 0.90%), and householder income ages 25 - 44 years ($81,363 compared to $82,254, a difference of 1.1%).

When considering poverty, the most significant differences between Bangladeshi and Immigrants from Middle Africa communities in the United States are seen in receiving food stamps (15.0% compared to 12.9%, a difference of 16.5%), married-couple family poverty (6.0% compared to 5.4%, a difference of 11.4%), and single female poverty (24.2% compared to 22.3%, a difference of 8.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 12.1%, a difference of 0.85%), seniors poverty over the age of 65 (11.2% compared to 11.1%, a difference of 1.3%), and female poverty among 18-24 year olds (22.5% compared to 22.1%, a difference of 1.7%).

When considering unemployment, the most significant differences between Bangladeshi and Immigrants from Middle Africa communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 9.1%, a difference of 24.2%), unemployment among seniors over 75 years (9.6% compared to 8.3%, a difference of 15.8%), and unemployment among women with children under 18 years (5.3% compared to 5.8%, a difference of 8.2%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.6% compared to 6.6%, a difference of 0.49%), unemployment (5.4% compared to 5.4%, a difference of 0.54%), and unemployment among ages 35 to 44 years (4.8% compared to 4.8%, a difference of 0.56%).

When considering labor participation, the most significant differences between Bangladeshi and Immigrants from Middle Africa communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 39.9%, a difference of 6.3%), in labor force | age > 16 (65.9% compared to 67.7%, a difference of 2.7%), and in labor force | age 45-54 (81.3% compared to 83.3%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 85.0%, a difference of 0.070%), in labor force | age 35-44 (84.1% compared to 84.9%, a difference of 0.91%), and in labor force | age 30-34 (84.3% compared to 85.2%, a difference of 0.98%).

When considering family structure, the most significant differences between Bangladeshi and Immigrants from Middle Africa communities in the United States are seen in single father households (3.1% compared to 2.5%, a difference of 23.4%), family households with children (30.1% compared to 28.0%, a difference of 7.6%), and single mother households (8.1% compared to 7.7%, a difference of 5.4%). Conversely, both communities are more comparable in terms of births to unmarried women (34.4% compared to 34.9%, a difference of 1.5%), currently married (43.7% compared to 43.0%, a difference of 1.6%), and divorced or separated (12.3% compared to 12.7%, a difference of 3.1%).

When considering vehicle availability, the most significant differences between Bangladeshi and Immigrants from Middle Africa communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.8%, a difference of 30.4%), 3 or more vehicles in household (21.9% compared to 18.2%, a difference of 19.9%), and no vehicles in household (8.7% compared to 10.2%, a difference of 17.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 89.9%, a difference of 1.7%), 2 or more vehicles in household (58.4% compared to 53.4%, a difference of 9.4%), and no vehicles in household (8.7% compared to 10.2%, a difference of 17.4%).

When considering education level, the most significant differences between Bangladeshi and Immigrants from Middle Africa communities in the United States are seen in doctorate degree (1.2% compared to 1.9%, a difference of 56.2%), no schooling completed (3.5% compared to 2.4%, a difference of 47.3%), and master's degree (10.5% compared to 14.6%, a difference of 39.3%). Conversely, both communities are more comparable in terms of 10th grade (92.2% compared to 92.9%, a difference of 0.76%), 11th grade (90.9% compared to 91.6%, a difference of 0.79%), and 9th grade (93.4% compared to 94.2%, a difference of 0.82%).

When considering disability, the most significant differences between Bangladeshi and Immigrants from Middle Africa communities in the United States are seen in self-care disability (2.8% compared to 2.3%, a difference of 20.9%), hearing disability (3.2% compared to 2.8%, a difference of 14.6%), and disability age 35 to 64 (13.6% compared to 12.0%, a difference of 13.9%). Conversely, both communities are more comparable in terms of cognitive disability (18.6% compared to 18.6%, a difference of 0.20%), disability age 5 to 17 (5.8% compared to 5.9%, a difference of 2.3%), and disability age over 75 (49.4% compared to 47.1%, a difference of 4.9%).