Bangladeshi vs Kenyan Community Comparison

The statistical analysis conducted on geographies consisting of 85,818,709 people shows a mild positive correlation between the proportion of Kenyans within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.354. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.012% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 11.6 Kenyans.

When considering income, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in per capita income ($35,897 compared to $42,808, a difference of 19.3%), median family income ($88,358 compared to $101,417, a difference of 14.8%), and median male earnings ($46,744 compared to $53,647, a difference of 14.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $50,815, a difference of 6.8%), wage/income gap (22.2% compared to 24.5%, a difference of 10.3%), and householder income over 65 years ($54,719 compared to $60,514, a difference of 10.6%).

When considering poverty, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in receiving food stamps (15.0% compared to 11.6%, a difference of 30.0%), married-couple family poverty (6.0% compared to 4.8%, a difference of 25.6%), and family poverty (10.9% compared to 8.9%, a difference of 22.3%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.3%, a difference of 0.84%), seniors poverty over the age of 75 (12.0% compared to 11.5%, a difference of 4.0%), and single male poverty (13.3% compared to 12.4%, a difference of 8.0%).

When considering unemployment, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 8.8%, a difference of 19.5%), unemployment among ages 65 to 74 years (5.3% compared to 4.8%, a difference of 10.7%), and unemployment among seniors over 65 years (5.2% compared to 4.7%, a difference of 9.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.6% compared to 4.6%, a difference of 0.16%), unemployment among ages 20 to 24 years (10.0% compared to 9.9%, a difference of 0.84%), and unemployment among women with children under 6 years (7.5% compared to 7.6%, a difference of 0.97%).

When considering labor participation, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 40.1%, a difference of 5.8%), in labor force | age 45-54 (81.3% compared to 83.7%, a difference of 2.9%), and in labor force | age > 16 (65.9% compared to 67.6%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 85.4%, a difference of 0.34%), in labor force | age 30-34 (84.3% compared to 85.4%, a difference of 1.3%), and in labor force | age 35-44 (84.1% compared to 85.2%, a difference of 1.3%).

When considering family structure, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in single father households (3.1% compared to 2.4%, a difference of 29.1%), single mother households (8.1% compared to 7.0%, a difference of 16.9%), and births to unmarried women (34.4% compared to 31.9%, a difference of 7.9%). Conversely, both communities are more comparable in terms of divorced or separated (12.3% compared to 12.2%, a difference of 0.74%), family households (64.3% compared to 63.2%, a difference of 1.7%), and married-couple households (43.5% compared to 44.7%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.1%, a difference of 24.0%), 3 or more vehicles in household (21.9% compared to 19.1%, a difference of 14.5%), and no vehicles in household (8.7% compared to 9.7%, a difference of 12.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 90.4%, a difference of 1.1%), 2 or more vehicles in household (58.4% compared to 55.5%, a difference of 5.2%), and no vehicles in household (8.7% compared to 9.7%, a difference of 12.0%).

When considering education level, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in no schooling completed (3.5% compared to 2.0%, a difference of 73.1%), doctorate degree (1.2% compared to 1.9%, a difference of 60.9%), and master's degree (10.5% compared to 15.3%, a difference of 46.3%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.0%, a difference of 1.4%), kindergarten (96.6% compared to 98.0%, a difference of 1.4%), and 1st grade (96.5% compared to 97.9%, a difference of 1.4%).

When considering disability, the most significant differences between Bangladeshi and Kenyan communities in the United States are seen in self-care disability (2.8% compared to 2.3%, a difference of 22.5%), disability age 35 to 64 (13.6% compared to 11.4%, a difference of 19.9%), and disability age 65 to 74 (26.8% compared to 23.7%, a difference of 13.0%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.96%), cognitive disability (18.6% compared to 18.1%, a difference of 2.6%), and disability age over 75 (49.4% compared to 47.2%, a difference of 4.6%).