Immigrants from Eastern Asia vs Kenyan Community Comparison

The statistical analysis conducted on geographies consisting of 166,422,995 people shows a weak negative correlation between the proportion of Kenyans within Immigrant from Eastern Asia communities in the United States with a correlation coefficient (R) of -0.234. On average, for every 1% (one percent) increase in Immigrants from Eastern Asia within a typical geography, there is a decrease of 0.003% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Asia corresponds to a decrease of 2.7 Kenyans.

When considering income, the most significant differences between Immigrants from Eastern Asia and Kenyan communities in the United States are seen in householder income ages 25 - 44 years ($118,056 compared to $91,684, a difference of 28.8%), per capita income ($53,806 compared to $42,808, a difference of 25.7%), and median male earnings ($66,903 compared to $53,647, a difference of 24.7%). Conversely, both communities are more comparable in terms of wage/income gap (27.1% compared to 24.5%, a difference of 10.7%), householder income under 25 years ($57,123 compared to $50,815, a difference of 12.4%), and householder income over 65 years ($69,872 compared to $60,514, a difference of 15.5%).

When considering poverty, the most significant differences between Immigrants from Eastern Asia and Kenyan communities in the United States are seen in child poverty under the age of 5 (13.5% compared to 17.5%, a difference of 29.6%), child poverty among girls under 16 (13.4% compared to 16.8%, a difference of 25.9%), and child poverty under the age of 16 (13.1% compared to 16.5%, a difference of 25.9%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.8% compared to 4.8%, a difference of 0.39%), female poverty among 18-24 year olds (19.8% compared to 20.2%, a difference of 2.0%), and single father poverty (15.0% compared to 15.3%, a difference of 2.4%).

When considering unemployment, the most significant differences between Immigrants from Eastern Asia and Kenyan communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.6%, a difference of 20.3%), unemployment among seniors over 75 years (7.9% compared to 9.1%, a difference of 15.2%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 8.8%, a difference of 13.7%). Conversely, both communities are more comparable in terms of unemployment (5.1% compared to 5.1%, a difference of 0.020%), unemployment among ages 25 to 29 years (6.2% compared to 6.3%, a difference of 0.45%), and unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 1.3%).

When considering labor participation, the most significant differences between Immigrants from Eastern Asia and Kenyan communities in the United States are seen in in labor force | age 16-19 (32.0% compared to 40.1%, a difference of 25.4%), in labor force | age 20-24 (71.8% compared to 77.0%, a difference of 7.3%), and in labor force | age > 16 (65.7% compared to 67.6%, a difference of 2.9%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.4%, a difference of 0.090%), in labor force | age 45-54 (83.4% compared to 83.7%, a difference of 0.44%), and in labor force | age 35-44 (84.7% compared to 85.2%, a difference of 0.63%).

When considering family structure, the most significant differences between Immigrants from Eastern Asia and Kenyan communities in the United States are seen in single mother households (5.1% compared to 7.0%, a difference of 36.6%), births to unmarried women (25.0% compared to 31.9%, a difference of 27.3%), and single father households (1.9% compared to 2.4%, a difference of 25.9%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.21, a difference of 0.26%), family households with children (27.7% compared to 28.4%, a difference of 2.6%), and family households (64.9% compared to 63.2%, a difference of 2.8%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Asia and Kenyan communities in the United States are seen in no vehicles in household (13.5% compared to 9.7%, a difference of 39.7%), 1 or more vehicles in household (86.5% compared to 90.4%, a difference of 4.4%), and 2 or more vehicles in household (53.2% compared to 55.5%, a difference of 4.3%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (18.8% compared to 19.1%, a difference of 1.4%), 4 or more vehicles in household (6.2% compared to 6.1%, a difference of 2.1%), and 2 or more vehicles in household (53.2% compared to 55.5%, a difference of 4.3%).

When considering education level, the most significant differences between Immigrants from Eastern Asia and Kenyan communities in the United States are seen in doctorate degree (3.0% compared to 1.9%, a difference of 52.1%), professional degree (6.6% compared to 4.4%, a difference of 49.0%), and master's degree (20.8% compared to 15.3%, a difference of 35.9%). Conversely, both communities are more comparable in terms of 11th grade (92.7% compared to 92.9%, a difference of 0.13%), high school diploma (89.9% compared to 89.6%, a difference of 0.24%), and 12th grade, no diploma (91.8% compared to 91.5%, a difference of 0.27%).

When considering disability, the most significant differences between Immigrants from Eastern Asia and Kenyan communities in the United States are seen in disability age 35 to 64 (8.8% compared to 11.4%, a difference of 29.4%), disability age 5 to 17 (4.6% compared to 5.8%, a difference of 25.5%), and disability age 18 to 34 (5.6% compared to 6.8%, a difference of 21.3%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.21%), disability age over 75 (46.2% compared to 47.2%, a difference of 2.4%), and hearing disability (2.7% compared to 2.8%, a difference of 6.4%).