Immigrants from Eastern Africa vs Bulgarian Community Comparison

The statistical analysis conducted on geographies consisting of 175,160,366 people shows a poor negative correlation between the proportion of Bulgarians within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of -0.158. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is a decrease of 0.003% in Bulgarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to a decrease of 3.3 Bulgarians.

When considering income, the most significant differences between Immigrants from Eastern Africa and Bulgarian communities in the United States are seen in wage/income gap (22.8% compared to 27.8%, a difference of 21.9%), householder income ages 25 - 44 years ($91,458 compared to $107,264, a difference of 17.3%), and median male earnings ($53,713 compared to $62,378, a difference of 16.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,158 compared to $54,352, a difference of 6.2%), median female earnings ($40,644 compared to $43,638, a difference of 7.4%), and householder income over 65 years ($61,157 compared to $66,236, a difference of 8.3%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Bulgarian communities in the United States are seen in child poverty under the age of 16 (17.6% compared to 13.0%, a difference of 35.5%), child poverty among girls under 16 (17.7% compared to 13.1%, a difference of 34.9%), and family poverty (9.5% compared to 7.1%, a difference of 34.1%). Conversely, both communities are more comparable in terms of single male poverty (12.3% compared to 11.7%, a difference of 5.5%), single father poverty (14.7% compared to 15.8%, a difference of 7.2%), and single mother poverty (29.3% compared to 26.5%, a difference of 10.5%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Bulgarian communities in the United States are seen in unemployment among women with children under 18 years (5.4% compared to 4.8%, a difference of 13.4%), unemployment among women with children under 6 years (7.2% compared to 6.5%, a difference of 10.0%), and unemployment among ages 45 to 54 years (4.4% compared to 4.1%, a difference of 8.3%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.0% compared to 6.1%, a difference of 0.46%), unemployment among ages 65 to 74 years (5.0% compared to 5.0%, a difference of 1.3%), and unemployment among youth under 25 years (11.1% compared to 10.9%, a difference of 1.4%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Bulgarian communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 38.3%, a difference of 5.2%), in labor force | age > 16 (68.5% compared to 66.4%, a difference of 3.1%), and in labor force | age 20-24 (77.5% compared to 76.4%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.9% compared to 86.0%, a difference of 0.050%), in labor force | age 35-44 (85.4% compared to 85.5%, a difference of 0.060%), and in labor force | age 25-29 (86.0% compared to 86.0%, a difference of 0.070%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Bulgarian communities in the United States are seen in single mother households (6.8% compared to 5.3%, a difference of 28.8%), single father households (2.4% compared to 2.0%, a difference of 23.0%), and births to unmarried women (31.0% compared to 27.1%, a difference of 14.4%). Conversely, both communities are more comparable in terms of family households with children (27.7% compared to 27.0%, a difference of 2.4%), average family size (3.22 compared to 3.13, a difference of 2.9%), and family households (61.1% compared to 63.6%, a difference of 4.0%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Bulgarian communities in the United States are seen in no vehicles in household (10.0% compared to 9.0%, a difference of 12.1%), 2 or more vehicles in household (53.7% compared to 56.5%, a difference of 5.2%), and 3 or more vehicles in household (18.0% compared to 18.8%, a difference of 4.3%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (5.7% compared to 5.8%, a difference of 0.82%), 1 or more vehicles in household (90.1% compared to 91.1%, a difference of 1.1%), and 3 or more vehicles in household (18.0% compared to 18.8%, a difference of 4.3%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and Bulgarian communities in the United States are seen in no schooling completed (2.4% compared to 1.6%, a difference of 49.9%), professional degree (4.8% compared to 5.7%, a difference of 17.8%), and master's degree (16.3% compared to 18.8%, a difference of 14.7%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.4%, a difference of 0.81%), kindergarten (97.6% compared to 98.4%, a difference of 0.82%), and 1st grade (97.6% compared to 98.4%, a difference of 0.82%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Bulgarian communities in the United States are seen in disability age 35 to 64 (11.3% compared to 9.7%, a difference of 17.2%), cognitive disability (18.4% compared to 16.3%, a difference of 12.5%), and disability age 65 to 74 (23.4% compared to 21.1%, a difference of 11.1%). Conversely, both communities are more comparable in terms of ambulatory disability (5.6% compared to 5.6%, a difference of 0.59%), male disability (10.8% compared to 10.6%, a difference of 1.7%), and self-care disability (2.3% compared to 2.2%, a difference of 2.1%).