Immigrants from Kenya vs Immigrants from Bulgaria Community Comparison

The statistical analysis conducted on geographies consisting of 117,785,188 people shows a moderate positive correlation between the proportion of Immigrants from Bulgaria within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.461. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.037% in Immigrants from Bulgaria. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 36.8 Immigrants from Bulgaria.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Bulgaria communities in the United States are seen in per capita income ($42,661 compared to $49,482, a difference of 16.0%), householder income ages 25 - 44 years ($90,767 compared to $103,423, a difference of 13.9%), and median male earnings ($53,427 compared to $60,358, a difference of 13.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($49,633 compared to $53,305, a difference of 7.4%), wage/income gap (24.4% compared to 26.3%, a difference of 7.8%), and householder income over 65 years ($59,710 compared to $64,379, a difference of 7.8%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Bulgaria communities in the United States are seen in receiving food stamps (11.8% compared to 9.8%, a difference of 20.8%), child poverty under the age of 5 (17.9% compared to 14.8%, a difference of 20.7%), and child poverty among girls under 16 (17.2% compared to 14.4%, a difference of 19.6%). Conversely, both communities are more comparable in terms of single father poverty (15.0% compared to 15.0%, a difference of 0.23%), seniors poverty over the age of 75 (11.9% compared to 11.5%, a difference of 4.1%), and seniors poverty over the age of 65 (10.5% compared to 10.1%, a difference of 4.5%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Bulgaria communities in the United States are seen in unemployment among women with children under 6 years (7.3% compared to 6.3%, a difference of 14.9%), unemployment among women with children ages 6 to 17 years (8.8% compared to 8.1%, a difference of 8.9%), and unemployment among ages 30 to 34 years (5.2% compared to 4.8%, a difference of 7.7%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.45%), unemployment among ages 55 to 59 years (4.5% compared to 4.5%, a difference of 0.51%), and unemployment among ages 65 to 74 years (5.1% compared to 5.1%, a difference of 0.97%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Bulgaria communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 37.3%, a difference of 8.7%), in labor force | age 20-24 (77.0% compared to 75.8%, a difference of 1.5%), and in labor force | age > 16 (67.6% compared to 66.6%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.1% compared to 85.2%, a difference of 0.12%), in labor force | age 20-64 (80.7% compared to 81.0%, a difference of 0.26%), and in labor force | age 45-54 (83.5% compared to 83.8%, a difference of 0.44%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Bulgaria communities in the United States are seen in single mother households (7.0% compared to 5.6%, a difference of 24.8%), single father households (2.4% compared to 2.0%, a difference of 20.3%), and births to unmarried women (32.1% compared to 27.6%, a difference of 16.1%). Conversely, both communities are more comparable in terms of family households (62.3% compared to 63.0%, a difference of 0.99%), average family size (3.21 compared to 3.16, a difference of 1.5%), and family households with children (28.1% compared to 26.9%, a difference of 4.4%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Bulgaria communities in the United States are seen in no vehicles in household (9.6% compared to 10.5%, a difference of 8.8%), 4 or more vehicles in household (6.0% compared to 5.5%, a difference of 8.7%), and 3 or more vehicles in household (18.8% compared to 17.7%, a difference of 6.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 89.6%, a difference of 0.94%), 2 or more vehicles in household (55.1% compared to 54.3%, a difference of 1.6%), and 3 or more vehicles in household (18.8% compared to 17.7%, a difference of 6.0%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Bulgaria communities in the United States are seen in professional degree (4.4% compared to 5.5%, a difference of 24.9%), master's degree (15.3% compared to 18.3%, a difference of 20.1%), and doctorate degree (1.9% compared to 2.3%, a difference of 17.9%). Conversely, both communities are more comparable in terms of 1st grade (97.8% compared to 98.1%, a difference of 0.24%), nursery school (97.9% compared to 98.1%, a difference of 0.25%), and kindergarten (97.9% compared to 98.1%, a difference of 0.25%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Bulgaria communities in the United States are seen in disability age 35 to 64 (11.6% compared to 9.8%, a difference of 18.1%), disability age under 5 (1.2% compared to 1.1%, a difference of 17.0%), and disability age 65 to 74 (23.8% compared to 21.4%, a difference of 11.4%). Conversely, both communities are more comparable in terms of hearing disability (2.9% compared to 2.9%, a difference of 1.2%), self-care disability (2.3% compared to 2.3%, a difference of 2.4%), and ambulatory disability (5.8% compared to 5.6%, a difference of 3.6%).