Slavic vs Kenyan Community Comparison

The statistical analysis conducted on geographies consisting of 122,365,961 people shows a substantial positive correlation between the proportion of Kenyans within Slavic communities in the United States with a correlation coefficient (R) of 0.580. On average, for every 1% (one percent) increase in Slavs within a typical geography, there is an increase of 0.173% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Slavs corresponds to an increase of 173.5 Kenyans.

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

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

When considering unemployment, the most significant differences between Slavic and Kenyan communities in the United States are seen in unemployment among ages 65 to 74 years (5.2% compared to 4.8%, a difference of 7.3%), unemployment among ages 55 to 59 years (4.7% compared to 4.4%, a difference of 6.9%), and unemployment among ages 30 to 34 years (5.5% compared to 5.2%, 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 (5.2% compared to 5.3%, 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 Slavic and Kenyan communities in the United States are seen in in labor force | age > 16 (64.6% compared to 67.6%, a difference of 4.7%), in labor force | age 20-64 (79.6% compared to 80.8%, a difference of 1.5%), and in labor force | age 45-54 (82.9% compared to 83.7%, a difference of 0.95%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 77.0%, a difference of 0.18%), in labor force | age 25-29 (85.1% compared to 85.4%, a difference of 0.35%), and in labor force | age 30-34 (85.0% compared to 85.4%, a difference of 0.48%).

When considering family structure, the most significant differences between Slavic and Kenyan communities in the United States are seen in single mother households (5.9% compared to 7.0%, a difference of 18.6%), married-couple households (47.8% compared to 44.7%, a difference of 7.1%), and currently married (48.4% compared to 45.2%, 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 (31.6% compared to 31.9%, a difference of 0.86%), and family households (64.0% compared to 63.2%, a difference of 1.3%).

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

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

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