Kenyan vs Bulgarian Community Comparison

The statistical analysis conducted on geographies consisting of 109,231,749 people shows a moderate positive correlation between the proportion of Bulgarians within Kenyan communities in the United States with a correlation coefficient (R) of 0.451. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.021% in Bulgarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 21.0 Bulgarians.

When considering income, the most significant differences between Kenyan and Bulgarian communities in the United States are seen in per capita income ($42,808 compared to $50,906, a difference of 18.9%), householder income ages 25 - 44 years ($91,684 compared to $107,264, a difference of 17.0%), and median male earnings ($53,647 compared to $62,378, a difference of 16.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,815 compared to $54,352, a difference of 7.0%), householder income over 65 years ($60,514 compared to $66,236, a difference of 9.5%), and median female earnings ($39,860 compared to $43,638, a difference of 9.5%).

When considering poverty, the most significant differences between Kenyan and Bulgarian communities in the United States are seen in receiving food stamps (11.6% compared to 8.9%, a difference of 30.1%), child poverty among girls under 16 (16.8% compared to 13.1%, a difference of 28.0%), and child poverty under the age of 16 (16.5% compared to 13.0%, a difference of 27.2%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.8%, a difference of 3.0%), single male poverty (12.4% compared to 11.7%, a difference of 5.9%), and single mother poverty (28.4% compared to 26.5%, a difference of 6.8%).

When considering unemployment, the most significant differences between Kenyan and Bulgarian communities in the United States are seen in unemployment among women with children under 6 years (7.6% compared to 6.5%, a difference of 16.3%), unemployment among ages 30 to 34 years (5.2% compared to 4.7%, a difference of 10.2%), and unemployment among women with children under 18 years (5.3% compared to 4.8%, a difference of 9.5%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (9.9% compared to 9.9%, a difference of 0.33%), unemployment among ages 16 to 19 years (16.1% compared to 16.3%, a difference of 1.3%), and unemployment among ages 55 to 59 years (4.4% compared to 4.3%, a difference of 2.1%).

When considering labor participation, the most significant differences between Kenyan and Bulgarian communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 38.3%, a difference of 4.7%), in labor force | age > 16 (67.6% compared to 66.4%, a difference of 1.8%), and in labor force | age 20-24 (77.0% compared to 76.4%, a difference of 0.83%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.2% compared to 85.5%, a difference of 0.28%), in labor force | age 20-64 (80.8% compared to 81.1%, a difference of 0.29%), and in labor force | age 45-54 (83.7% compared to 84.2%, a difference of 0.61%).

When considering family structure, the most significant differences between Kenyan and Bulgarian communities in the United States are seen in single mother households (7.0% compared to 5.3%, a difference of 31.1%), single father households (2.4% compared to 2.0%, a difference of 20.7%), and births to unmarried women (31.9% compared to 27.1%, a difference of 17.8%). Conversely, both communities are more comparable in terms of family households (63.2% compared to 63.6%, a difference of 0.66%), average family size (3.21 compared to 3.13, a difference of 2.8%), and family households with children (28.4% compared to 27.0%, a difference of 5.0%).

When considering vehicle availability, the most significant differences between Kenyan and Bulgarian communities in the United States are seen in no vehicles in household (9.7% compared to 9.0%, a difference of 8.3%), 4 or more vehicles in household (6.1% compared to 5.8%, a difference of 5.4%), and 2 or more vehicles in household (55.5% compared to 56.5%, a difference of 1.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 91.1%, a difference of 0.85%), 3 or more vehicles in household (19.1% compared to 18.8%, a difference of 1.5%), and 2 or more vehicles in household (55.5% compared to 56.5%, a difference of 1.8%).

When considering education level, the most significant differences between Kenyan and Bulgarian communities in the United States are seen in professional degree (4.4% compared to 5.7%, a difference of 28.5%), no schooling completed (2.0% compared to 1.6%, a difference of 26.6%), and doctorate degree (1.9% compared to 2.4%, a difference of 22.4%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.4%, a difference of 0.45%), kindergarten (98.0% compared to 98.4%, a difference of 0.46%), and 1st grade (97.9% compared to 98.4%, a difference of 0.46%).

When considering disability, the most significant differences between Kenyan and Bulgarian communities in the United States are seen in disability age 35 to 64 (11.4% compared to 9.7%, a difference of 17.5%), disability age 65 to 74 (23.7% compared to 21.1%, a difference of 12.6%), and cognitive disability (18.1% compared to 16.3%, a difference of 11.0%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.2%, a difference of 3.3%), ambulatory disability (5.8% compared to 5.6%, a difference of 3.8%), and male disability (11.0% compared to 10.6%, a difference of 3.9%).