Immigrants from Eastern Africa vs Russian Community Comparison

The statistical analysis conducted on geographies consisting of 344,676,277 people shows a poor negative correlation between the proportion of Russians within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of -0.152. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is a decrease of 0.013% in Russians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to a decrease of 13.0 Russians.

When considering income, the most significant differences between Immigrants from Eastern Africa and Russian communities in the United States are seen in wage/income gap (22.8% compared to 28.0%, a difference of 22.7%), per capita income ($43,838 compared to $53,154, a difference of 21.2%), and householder income ages 25 - 44 years ($91,458 compared to $110,398, a difference of 20.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,158 compared to $54,389, a difference of 6.3%), median female earnings ($40,644 compared to $44,169, a difference of 8.7%), and householder income over 65 years ($61,157 compared to $67,626, a difference of 10.6%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Russian communities in the United States are seen in child poverty under the age of 16 (17.6% compared to 13.5%, a difference of 30.3%), child poverty among boys under 16 (17.7% compared to 13.8%, a difference of 28.5%), and child poverty among girls under 16 (17.7% compared to 13.9%, a difference of 28.0%). Conversely, both communities are more comparable in terms of single male poverty (12.3% compared to 12.5%, a difference of 1.4%), seniors poverty over the age of 75 (12.1% compared to 11.6%, a difference of 3.7%), and single mother poverty (29.3% compared to 27.3%, a difference of 7.4%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Russian communities in the United States are seen in unemployment among ages 25 to 29 years (6.0% compared to 6.6%, a difference of 10.1%), unemployment among ages 20 to 24 years (9.5% compared to 10.4%, a difference of 9.4%), and unemployment among ages 55 to 59 years (4.5% compared to 4.9%, a difference of 8.9%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.2% compared to 7.2%, a difference of 0.11%), unemployment among women with children ages 6 to 17 years (8.9% compared to 8.8%, a difference of 0.82%), and unemployment among ages 45 to 54 years (4.4% compared to 4.4%, a difference of 0.86%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Russian communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 36.7%, a difference of 9.9%), in labor force | age > 16 (68.5% compared to 64.9%, a difference of 5.6%), and in labor force | age 20-24 (77.5% compared to 74.8%, a difference of 3.6%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.9% compared to 85.5%, a difference of 0.49%), in labor force | age 35-44 (85.4% compared to 85.0%, a difference of 0.50%), and in labor force | age 45-54 (83.9% compared to 83.4%, a difference of 0.64%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Russian communities in the United States are seen in single mother households (6.8% compared to 5.3%, a difference of 29.5%), single father households (2.4% compared to 2.0%, a difference of 20.8%), and married-couple households (42.9% compared to 48.2%, a difference of 12.2%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.12, a difference of 2.9%), family households (61.1% compared to 63.4%, a difference of 3.7%), and family households with children (27.7% compared to 26.5%, a difference of 4.3%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Russian communities in the United States are seen in no vehicles in household (10.0% compared to 11.6%, a difference of 15.6%), 3 or more vehicles in household (18.0% compared to 18.8%, a difference of 4.5%), and 4 or more vehicles in household (5.7% compared to 6.0%, a difference of 4.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 88.7%, a difference of 1.7%), 2 or more vehicles in household (53.7% compared to 54.8%, a difference of 1.9%), and 4 or more vehicles in household (5.7% compared to 6.0%, a difference of 4.4%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and Russian communities in the United States are seen in no schooling completed (2.4% compared to 1.7%, a difference of 45.2%), professional degree (4.8% compared to 6.3%, a difference of 31.7%), and doctorate degree (2.1% compared to 2.6%, a difference of 21.0%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.4%, a difference of 0.78%), kindergarten (97.6% compared to 98.4%, a difference of 0.78%), and 1st grade (97.6% compared to 98.3%, a difference of 0.79%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Russian communities in the United States are seen in disability age under 5 (1.2% compared to 1.4%, a difference of 14.4%), hearing disability (2.8% compared to 3.2%, a difference of 13.9%), and cognitive disability (18.4% compared to 16.4%, a difference of 11.9%). Conversely, both communities are more comparable in terms of female disability (11.7% compared to 11.8%, a difference of 0.73%), vision disability (2.0% compared to 2.0%, a difference of 1.3%), and disability (11.3% compared to 11.5%, a difference of 1.7%).