Kenyan vs Slovene Community Comparison

The statistical analysis conducted on geographies consisting of 121,086,826 people shows a substantial positive correlation between the proportion of Slovenes within Kenyan communities in the United States with a correlation coefficient (R) of 0.557. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.047% in Slovenes. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 47.5 Slovenes.

When considering income, the most significant differences between Kenyan and Slovene communities in the United States are seen in wage/income gap (24.5% compared to 28.3%, a difference of 15.7%), median male earnings ($53,647 compared to $57,145, a difference of 6.5%), and per capita income ($42,808 compared to $45,581, a difference of 6.5%). Conversely, both communities are more comparable in terms of median female earnings ($39,860 compared to $39,817, a difference of 0.11%), householder income under 25 years ($50,815 compared to $50,886, a difference of 0.14%), and householder income over 65 years ($60,514 compared to $60,241, a difference of 0.45%).

When considering poverty, the most significant differences between Kenyan and Slovene communities in the United States are seen in married-couple family poverty (4.8% compared to 3.8%, a difference of 24.2%), family poverty (8.9% compared to 7.5%, a difference of 18.0%), and receiving food stamps (11.6% compared to 9.8%, a difference of 17.9%). Conversely, both communities are more comparable in terms of single mother poverty (28.4% compared to 28.8%, a difference of 1.4%), single female poverty (20.8% compared to 20.3%, a difference of 2.4%), and female poverty among 18-24 year olds (20.2% compared to 19.3%, a difference of 4.4%).

When considering unemployment, the most significant differences between Kenyan and Slovene communities in the United States are seen in female unemployment (5.0% compared to 4.5%, a difference of 12.1%), unemployment (5.1% compared to 4.7%, a difference of 9.4%), and unemployment among women with children under 18 years (5.3% compared to 4.9%, a difference of 8.1%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.51%), unemployment among ages 25 to 29 years (6.3% compared to 6.3%, a difference of 1.4%), and unemployment among ages 30 to 34 years (5.2% compared to 5.2%, a difference of 1.5%).

When considering labor participation, the most significant differences between Kenyan and Slovene communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 43.7%, a difference of 8.8%), in labor force | age > 16 (67.6% compared to 64.9%, a difference of 4.2%), and in labor force | age 20-24 (77.0% compared to 78.7%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.6%, a difference of 0.15%), in labor force | age 45-54 (83.7% compared to 83.9%, a difference of 0.23%), and in labor force | age 35-44 (85.2% compared to 85.6%, a difference of 0.38%).

When considering family structure, the most significant differences between Kenyan and Slovene communities in the United States are seen in single mother households (7.0% compared to 5.6%, a difference of 24.0%), single father households (2.4% compared to 2.2%, a difference of 10.2%), and family households with children (28.4% compared to 25.8%, a difference of 10.0%). Conversely, both communities are more comparable in terms of divorced or separated (12.2% compared to 12.3%, a difference of 0.52%), family households (63.2% compared to 62.4%, a difference of 1.1%), and births to unmarried women (31.9% compared to 31.2%, a difference of 2.3%).

When considering vehicle availability, the most significant differences between Kenyan and Slovene communities in the United States are seen in no vehicles in household (9.7% compared to 8.0%, a difference of 20.7%), 3 or more vehicles in household (19.1% compared to 20.2%, a difference of 5.6%), and 2 or more vehicles in household (55.5% compared to 58.3%, a difference of 4.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 92.0%, a difference of 1.9%), 4 or more vehicles in household (6.1% compared to 6.3%, a difference of 4.0%), and 2 or more vehicles in household (55.5% compared to 58.3%, a difference of 4.9%).

When considering education level, the most significant differences between Kenyan and Slovene communities in the United States are seen in no schooling completed (2.0% compared to 1.4%, a difference of 50.2%), professional degree (4.4% compared to 4.6%, a difference of 4.2%), and ged/equivalency (86.3% compared to 88.8%, a difference of 2.9%). Conversely, both communities are more comparable in terms of college, 1 year or more (60.5% compared to 60.9%, a difference of 0.69%), nursery school (98.0% compared to 98.7%, a difference of 0.74%), and kindergarten (98.0% compared to 98.7%, a difference of 0.74%).

When considering disability, the most significant differences between Kenyan and Slovene communities in the United States are seen in hearing disability (2.8% compared to 3.5%, a difference of 21.6%), disability age under 5 (1.2% compared to 1.4%, a difference of 15.9%), and cognitive disability (18.1% compared to 16.5%, a difference of 10.2%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (11.4% compared to 11.4%, a difference of 0.22%), vision disability (2.1% compared to 2.1%, a difference of 2.4%), and disability age over 75 (47.2% compared to 45.6%, a difference of 3.6%).