Kenyan vs Bangladeshi Community Comparison

The statistical analysis conducted on geographies consisting of 85,818,709 people shows a mild negative correlation between the proportion of Bangladeshis within Kenyan communities in the United States with a correlation coefficient (R) of -0.338. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is a decrease of 0.265% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to a decrease of 264.7 Bangladeshis.

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

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

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

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

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

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

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

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