English vs Kenyan Community Comparison

The statistical analysis conducted on geographies consisting of 168,238,181 people shows a weak positive correlation between the proportion of Kenyans within English communities in the United States with a correlation coefficient (R) of 0.243. On average, for every 1% (one percent) increase in English within a typical geography, there is an increase of 0.004% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 English corresponds to an increase of 4.4 Kenyans.

When considering income, the most significant differences between English and Kenyan communities in the United States are seen in wage/income gap (29.5% compared to 24.5%, a difference of 20.5%), median female earnings ($38,196 compared to $39,860, a difference of 4.4%), and median male earnings ($55,747 compared to $53,647, a difference of 3.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,805 compared to $50,815, a difference of 0.020%), median earnings ($46,334 compared to $46,462, a difference of 0.28%), and median household income ($84,915 compared to $84,085, a difference of 0.99%).

When considering poverty, the most significant differences between English and Kenyan communities in the United States are seen in receiving food stamps (9.8% compared to 11.6%, a difference of 18.5%), single father poverty (17.8% compared to 15.3%, a difference of 16.2%), and single male poverty (14.1% compared to 12.4%, a difference of 13.8%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.5% compared to 20.2%, a difference of 1.7%), female poverty among 25-34 year olds (13.9% compared to 13.5%, a difference of 3.0%), and child poverty under the age of 5 (16.8% compared to 17.5%, a difference of 4.0%).

When considering unemployment, the most significant differences between English and Kenyan communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 9.1%, a difference of 10.9%), unemployment (4.6% compared to 5.1%, a difference of 10.7%), and male unemployment (4.8% compared to 5.2%, a difference of 9.1%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.1% compared to 16.1%, a difference of 0.050%), unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.79%), and unemployment among ages 20 to 24 years (9.8% compared to 9.9%, a difference of 0.88%).

When considering labor participation, the most significant differences between English and Kenyan communities in the United States are seen in in labor force | age > 16 (63.7% compared to 67.6%, a difference of 6.0%), in labor force | age 16-19 (42.4% compared to 40.1%, a difference of 5.6%), and in labor force | age 20-64 (78.8% compared to 80.8%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.6% compared to 77.0%, a difference of 0.73%), in labor force | age 25-29 (84.5% compared to 85.4%, a difference of 1.0%), and in labor force | age 30-34 (84.0% compared to 85.4%, a difference of 1.7%).

When considering family structure, the most significant differences between English and Kenyan communities in the United States are seen in single mother households (5.8% compared to 7.0%, a difference of 21.0%), married-couple households (49.6% compared to 44.7%, a difference of 11.1%), and currently married (49.7% compared to 45.2%, a difference of 10.1%). Conversely, both communities are more comparable in terms of births to unmarried women (31.7% compared to 31.9%, a difference of 0.41%), family households (65.1% compared to 63.2%, a difference of 3.0%), and single father households (2.3% compared to 2.4%, a difference of 3.2%).

When considering vehicle availability, the most significant differences between English and Kenyan communities in the United States are seen in no vehicles in household (6.5% compared to 9.7%, a difference of 49.1%), 4 or more vehicles in household (7.6% compared to 6.1%, a difference of 25.3%), and 3 or more vehicles in household (23.1% compared to 19.1%, a difference of 20.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.8% compared to 90.4%, a difference of 3.8%), 2 or more vehicles in household (61.9% compared to 55.5%, a difference of 11.5%), and 3 or more vehicles in household (23.1% compared to 19.1%, a difference of 20.7%).

When considering education level, the most significant differences between English and Kenyan communities in the United States are seen in no schooling completed (1.4% compared to 2.0%, a difference of 47.6%), master's degree (14.8% compared to 15.3%, a difference of 3.4%), and bachelor's degree (37.4% compared to 38.7%, a difference of 3.4%). Conversely, both communities are more comparable in terms of professional degree (4.4% compared to 4.4%, a difference of 0.010%), college, under 1 year (66.6% compared to 66.5%, a difference of 0.090%), and nursery school (98.7% compared to 98.0%, a difference of 0.72%).

When considering disability, the most significant differences between English and Kenyan communities in the United States are seen in disability age under 5 (1.7% compared to 1.2%, a difference of 38.3%), hearing disability (3.8% compared to 2.8%, a difference of 32.8%), and male disability (12.8% compared to 11.0%, a difference of 16.6%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (23.6% compared to 23.7%, a difference of 0.40%), disability age over 75 (46.8% compared to 47.2%, a difference of 1.0%), and disability age 5 to 17 (6.2% compared to 5.8%, a difference of 7.1%).