Kenyan vs Immigrants from Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 166,430,267 people shows a weak negative correlation between the proportion of Immigrants from Eastern Asia within Kenyan communities in the United States with a correlation coefficient (R) of -0.280. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is a decrease of 0.191% in Immigrants from Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to a decrease of 190.7 Immigrants from Eastern Asia.

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

When considering poverty, the most significant differences between Kenyan and Immigrants from Eastern Asia communities in the United States are seen in child poverty under the age of 5 (17.5% compared to 13.5%, a difference of 29.6%), child poverty among girls under 16 (16.8% compared to 13.4%, a difference of 25.9%), and child poverty under the age of 16 (16.5% compared to 13.1%, 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 (20.2% compared to 19.8%, a difference of 2.0%), and single father poverty (15.3% compared to 15.0%, a difference of 2.4%).

When considering unemployment, the most significant differences between Kenyan and Immigrants from Eastern Asia communities in the United States are seen in unemployment among women with children under 6 years (7.6% compared to 6.3%, a difference of 20.3%), unemployment among seniors over 75 years (9.1% compared to 7.9%, a difference of 15.2%), and unemployment among women with children ages 6 to 17 years (8.8% compared to 7.7%, 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 (6.3% compared to 6.2%, 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 Kenyan and Immigrants from Eastern Asia communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 32.0%, a difference of 25.4%), in labor force | age 20-24 (77.0% compared to 71.8%, a difference of 7.3%), and in labor force | age > 16 (67.6% compared to 65.7%, 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 (83.7% compared to 83.4%, a difference of 0.44%), and in labor force | age 35-44 (85.2% compared to 84.7%, a difference of 0.63%).

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

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

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

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