White/Caucasian vs Immigrants from Kenya Community Comparison

The statistical analysis conducted on geographies consisting of 218,052,291 people shows a poor positive correlation between the proportion of Immigrants from Kenya within White/Caucasian communities in the United States with a correlation coefficient (R) of 0.109. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is an increase of 0.000% in Immigrants from Kenya. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to an increase of 0.3 Immigrants from Kenya.

When considering income, the most significant differences between White/Caucasian and Immigrants from Kenya communities in the United States are seen in wage/income gap (28.5% compared to 24.4%, a difference of 16.9%), median female earnings ($37,531 compared to $39,535, a difference of 5.3%), and median earnings ($45,197 compared to $46,214, a difference of 2.2%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($98,091 compared to $97,964, a difference of 0.13%), median family income ($99,800 compared to $100,679, a difference of 0.88%), and median male earnings ($53,925 compared to $53,427, a difference of 0.93%).

When considering poverty, the most significant differences between White/Caucasian and Immigrants from Kenya communities in the United States are seen in single father poverty (18.4% compared to 15.0%, a difference of 22.5%), single male poverty (14.5% compared to 12.5%, a difference of 16.2%), and single mother poverty (31.2% compared to 28.9%, a difference of 7.7%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.8% compared to 21.0%, a difference of 1.1%), married-couple family poverty (4.8% compared to 4.9%, a difference of 1.2%), and child poverty under the age of 5 (18.1% compared to 17.9%, a difference of 1.4%).

When considering unemployment, the most significant differences between White/Caucasian and Immigrants from Kenya communities in the United States are seen in unemployment among women with children under 6 years (8.4% compared to 7.3%, a difference of 15.2%), unemployment among seniors over 75 years (10.1% compared to 8.8%, a difference of 13.9%), and unemployment among ages 25 to 29 years (6.9% compared to 6.1%, a difference of 11.8%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.30%), unemployment among women with children under 18 years (5.3% compared to 5.4%, a difference of 1.1%), and unemployment among ages 45 to 54 years (4.3% compared to 4.4%, a difference of 1.9%).

When considering labor participation, the most significant differences between White/Caucasian and Immigrants from Kenya communities in the United States are seen in in labor force | age > 16 (63.6% compared to 67.6%, a difference of 6.2%), in labor force | age 20-64 (78.5% compared to 80.7%, a difference of 2.8%), and in labor force | age 16-19 (41.3% compared to 40.5%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 77.0%, a difference of 0.040%), in labor force | age 25-29 (84.2% compared to 85.4%, a difference of 1.5%), and in labor force | age 35-44 (83.6% compared to 85.1%, a difference of 1.8%).

When considering family structure, the most significant differences between White/Caucasian and Immigrants from Kenya communities in the United States are seen in single mother households (6.1% compared to 7.0%, a difference of 14.2%), married-couple households (48.6% compared to 44.1%, a difference of 10.3%), and currently married (48.6% compared to 44.9%, a difference of 8.3%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 0.25%), average family size (3.14 compared to 3.21, a difference of 2.0%), and family households with children (27.4% compared to 28.1%, a difference of 2.5%).

When considering vehicle availability, the most significant differences between White/Caucasian and Immigrants from Kenya communities in the United States are seen in no vehicles in household (7.0% compared to 9.6%, a difference of 37.0%), 4 or more vehicles in household (7.4% compared to 6.0%, a difference of 23.6%), and 3 or more vehicles in household (22.6% compared to 18.8%, a difference of 20.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 90.4%, a difference of 3.0%), 2 or more vehicles in household (60.8% compared to 55.1%, a difference of 10.3%), and 3 or more vehicles in household (22.6% compared to 18.8%, a difference of 20.2%).

When considering education level, the most significant differences between White/Caucasian and Immigrants from Kenya communities in the United States are seen in no schooling completed (1.6% compared to 2.1%, a difference of 30.7%), master's degree (13.8% compared to 15.3%, a difference of 10.4%), and bachelor's degree (35.3% compared to 38.8%, a difference of 9.9%). Conversely, both communities are more comparable in terms of ged/equivalency (86.2% compared to 86.2%, a difference of 0.010%), 12th grade, no diploma (91.8% compared to 91.5%, a difference of 0.41%), and nursery school (98.5% compared to 97.9%, a difference of 0.57%).

When considering disability, the most significant differences between White/Caucasian and Immigrants from Kenya communities in the United States are seen in disability age under 5 (1.7% compared to 1.2%, a difference of 33.8%), hearing disability (3.7% compared to 2.9%, a difference of 28.5%), and male disability (12.8% compared to 11.1%, a difference of 15.4%). Conversely, both communities are more comparable in terms of disability age over 75 (47.3% compared to 47.6%, a difference of 0.45%), disability age 65 to 74 (24.2% compared to 23.8%, a difference of 1.8%), and disability age 5 to 17 (6.2% compared to 5.8%, a difference of 6.3%).