Immigrants from Eastern Africa vs Bangladeshi Community Comparison

The statistical analysis conducted on geographies consisting of 123,094,234 people shows no correlation between the proportion of Bangladeshis within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of -0.009. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is a decrease of 0.003% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to a decrease of 2.8 Bangladeshis.

When considering income, the most significant differences between Immigrants from Eastern Africa and Bangladeshi communities in the United States are seen in per capita income ($43,838 compared to $35,897, a difference of 22.1%), median family income ($102,451 compared to $88,358, a difference of 16.0%), and median male earnings ($53,713 compared to $46,744, a difference of 14.9%). Conversely, both communities are more comparable in terms of wage/income gap (22.8% compared to 22.2%, a difference of 3.0%), householder income under 25 years ($51,158 compared to $47,589, a difference of 7.5%), and householder income over 65 years ($61,157 compared to $54,719, a difference of 11.8%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Bangladeshi communities in the United States are seen in receiving food stamps (11.6% compared to 15.0%, a difference of 29.7%), female poverty among 25-34 year olds (13.6% compared to 15.9%, a difference of 16.9%), and married-couple family poverty (5.2% compared to 6.0%, a difference of 15.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.1% compared to 12.0%, a difference of 0.87%), seniors poverty over the age of 65 (11.0% compared to 11.2%, a difference of 1.8%), and single father poverty (14.7% compared to 15.2%, a difference of 3.3%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.9% compared to 7.4%, a difference of 20.5%), unemployment among seniors over 75 years (8.7% compared to 9.6%, a difference of 10.3%), and unemployment among ages 25 to 29 years (6.0% compared to 6.6%, a difference of 10.1%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.8% compared to 16.9%, a difference of 1.0%), unemployment among ages 60 to 64 years (4.6% compared to 4.6%, a difference of 1.3%), and unemployment among ages 45 to 54 years (4.4% compared to 4.5%, a difference of 1.6%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 42.5%, a difference of 5.2%), in labor force | age > 16 (68.5% compared to 65.9%, a difference of 3.8%), and in labor force | age 45-54 (83.9% compared to 81.3%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.5% compared to 78.1%, a difference of 0.78%), in labor force | age 25-29 (86.0% compared to 85.1%, a difference of 1.0%), and in labor force | age 35-44 (85.4% compared to 84.1%, a difference of 1.5%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Bangladeshi communities in the United States are seen in single father households (2.4% compared to 3.1%, a difference of 26.7%), single mother households (6.8% compared to 8.1%, a difference of 19.0%), and births to unmarried women (31.0% compared to 34.4%, a difference of 11.1%). Conversely, both communities are more comparable in terms of divorced or separated (12.2% compared to 12.3%, a difference of 0.43%), currently married (44.2% compared to 43.7%, a difference of 1.1%), and married-couple households (42.9% compared to 43.5%, a difference of 1.4%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Bangladeshi communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 7.6%, a difference of 31.8%), 3 or more vehicles in household (18.0% compared to 21.9%, a difference of 21.3%), and no vehicles in household (10.0% compared to 8.7%, a difference of 15.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 91.4%, a difference of 1.4%), 2 or more vehicles in household (53.7% compared to 58.4%, a difference of 8.7%), and no vehicles in household (10.0% compared to 8.7%, a difference of 15.9%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and Bangladeshi communities in the United States are seen in doctorate degree (2.1% compared to 1.2%, a difference of 74.2%), master's degree (16.3% compared to 10.5%, a difference of 56.0%), and professional degree (4.8% compared to 3.1%, a difference of 55.7%). Conversely, both communities are more comparable in terms of 6th grade (96.6% compared to 95.7%, a difference of 1.0%), 5th grade (96.9% compared to 95.9%, a difference of 1.1%), and 3rd grade (97.4% compared to 96.3%, a difference of 1.1%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Bangladeshi communities in the United States are seen in self-care disability (2.3% compared to 2.8%, a difference of 23.9%), disability age 35 to 64 (11.3% compared to 13.6%, a difference of 20.2%), and vision disability (2.0% compared to 2.3%, a difference of 14.7%). Conversely, both communities are more comparable in terms of cognitive disability (18.4% compared to 18.6%, a difference of 1.3%), disability age 5 to 17 (5.7% compared to 5.8%, a difference of 2.5%), and disability age over 75 (47.2% compared to 49.4%, a difference of 4.8%).