Kenyan vs Slavic Community Comparison

The statistical analysis conducted on geographies consisting of 122,365,961 people shows a moderate positive correlation between the proportion of Slavs within Kenyan communities in the United States with a correlation coefficient (R) of 0.474. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.051% in Slavs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 50.8 Slavs.

When considering income, the most significant differences between Kenyan and Slavic communities in the United States are seen in wage/income gap (24.5% compared to 27.4%, a difference of 12.2%), per capita income ($42,808 compared to $45,049, a difference of 5.2%), and householder income ages 25 - 44 years ($91,684 compared to $96,377, a difference of 5.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,815 compared to $50,563, a difference of 0.50%), median female earnings ($39,860 compared to $39,613, a difference of 0.62%), and householder income over 65 years ($60,514 compared to $61,709, a difference of 2.0%).

When considering poverty, the most significant differences between Kenyan and Slavic communities in the United States are seen in single father poverty (15.3% compared to 17.4%, a difference of 13.4%), family poverty (8.9% compared to 8.1%, a difference of 10.0%), and receiving food stamps (11.6% compared to 10.6%, a difference of 8.9%). Conversely, both communities are more comparable in terms of single female poverty (20.8% compared to 21.1%, a difference of 1.8%), female poverty among 25-34 year olds (13.5% compared to 13.2%, a difference of 2.3%), and female poverty among 18-24 year olds (20.2% compared to 19.7%, a difference of 2.4%).

When considering unemployment, the most significant differences between Kenyan and Slavic communities in the United States are seen in unemployment among ages 65 to 74 years (4.8% compared to 5.2%, a difference of 7.3%), unemployment among ages 55 to 59 years (4.4% compared to 4.7%, a difference of 6.9%), and unemployment among ages 30 to 34 years (5.2% compared to 5.5%, a difference of 5.9%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 0.010%), unemployment among women with children under 18 years (5.3% compared to 5.2%, a difference of 0.32%), and unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.59%).

When considering labor participation, the most significant differences between Kenyan and Slavic communities in the United States are seen in in labor force | age > 16 (67.6% compared to 64.6%, a difference of 4.7%), in labor force | age 20-64 (80.8% compared to 79.6%, a difference of 1.5%), and in labor force | age 45-54 (83.7% compared to 82.9%, a difference of 0.95%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (77.0% compared to 76.9%, a difference of 0.18%), in labor force | age 25-29 (85.4% compared to 85.1%, a difference of 0.35%), and in labor force | age 30-34 (85.4% compared to 85.0%, a difference of 0.48%).

When considering family structure, the most significant differences between Kenyan and Slavic communities in the United States are seen in single mother households (7.0% compared to 5.9%, a difference of 18.6%), married-couple households (44.7% compared to 47.8%, a difference of 7.1%), and currently married (45.2% compared to 48.4%, a difference of 7.1%). Conversely, both communities are more comparable in terms of divorced or separated (12.2% compared to 12.2%, a difference of 0.27%), births to unmarried women (31.9% compared to 31.6%, a difference of 0.86%), and family households (63.2% compared to 64.0%, a difference of 1.3%).

When considering vehicle availability, the most significant differences between Kenyan and Slavic communities in the United States are seen in no vehicles in household (9.7% compared to 9.0%, a difference of 8.4%), 4 or more vehicles in household (6.1% compared to 6.6%, a difference of 7.8%), and 3 or more vehicles in household (19.1% compared to 20.4%, a difference of 6.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 91.2%, a difference of 0.92%), 2 or more vehicles in household (55.5% compared to 57.8%, a difference of 4.1%), and 3 or more vehicles in household (19.1% compared to 20.4%, a difference of 6.9%).

When considering education level, the most significant differences between Kenyan and Slavic communities in the United States are seen in no schooling completed (2.0% compared to 1.7%, a difference of 23.9%), professional degree (4.4% compared to 4.5%, a difference of 3.2%), and doctorate degree (1.9% compared to 1.9%, a difference of 2.4%). Conversely, both communities are more comparable in terms of college, 1 year or more (60.5% compared to 60.6%, a difference of 0.17%), college, under 1 year (66.5% compared to 66.7%, a difference of 0.33%), and bachelor's degree (38.7% compared to 38.9%, a difference of 0.42%).

When considering disability, the most significant differences between Kenyan and Slavic communities in the United States are seen in hearing disability (2.8% compared to 3.4%, a difference of 20.4%), disability age under 5 (1.2% compared to 1.4%, a difference of 16.5%), and male disability (11.0% compared to 12.2%, a difference of 10.5%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 46.1%, a difference of 2.4%), disability age 35 to 64 (11.4% compared to 11.7%, a difference of 2.5%), and disability age 5 to 17 (5.8% compared to 5.9%, a difference of 3.0%).