Immigrants from Eastern Africa vs Soviet Union Community Comparison

The statistical analysis conducted on geographies consisting of 42,301,278 people shows a significant positive correlation between the proportion of Soviet Union within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of 0.649. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is an increase of 0.031% in Soviet Union. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to an increase of 31.4 Soviet Union.

When considering income, the most significant differences between Immigrants from Eastern Africa and Soviet Union communities in the United States are seen in per capita income ($43,838 compared to $54,202, a difference of 23.6%), householder income ages 25 - 44 years ($91,458 compared to $108,457, a difference of 18.6%), and median male earnings ($53,713 compared to $63,382, a difference of 18.0%). Conversely, both communities are more comparable in terms of householder income over 65 years ($61,157 compared to $62,848, a difference of 2.8%), wage/income gap (22.8% compared to 24.2%, a difference of 6.1%), and householder income under 25 years ($51,158 compared to $55,340, a difference of 8.2%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Soviet Union communities in the United States are seen in child poverty under the age of 5 (18.1% compared to 14.7%, a difference of 23.0%), child poverty among boys under 16 (17.7% compared to 14.5%, a difference of 21.8%), and child poverty under the age of 16 (17.6% compared to 14.5%, a difference of 21.4%). Conversely, both communities are more comparable in terms of single father poverty (14.7% compared to 14.3%, a difference of 3.2%), receiving food stamps (11.6% compared to 11.1%, a difference of 4.7%), and married-couple family poverty (5.2% compared to 4.9%, a difference of 7.1%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Soviet Union communities in the United States are seen in unemployment among seniors over 75 years (8.7% compared to 6.6%, a difference of 31.0%), unemployment among women with children ages 6 to 17 years (8.9% compared to 7.1%, a difference of 25.0%), and unemployment among ages 20 to 24 years (9.5% compared to 11.7%, a difference of 23.1%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.8% compared to 16.8%, a difference of 0.21%), unemployment among ages 30 to 34 years (5.0% compared to 5.0%, a difference of 0.28%), and unemployment among ages 25 to 29 years (6.0% compared to 6.2%, a difference of 2.5%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Soviet Union communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 31.4%, a difference of 28.5%), in labor force | age 20-24 (77.5% compared to 72.3%, a difference of 7.3%), and in labor force | age > 16 (68.5% compared to 65.0%, a difference of 5.2%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.4% compared to 85.1%, a difference of 0.38%), in labor force | age 30-34 (85.9% compared to 85.5%, a difference of 0.54%), and in labor force | age 25-29 (86.0% compared to 85.3%, a difference of 0.76%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Soviet Union communities in the United States are seen in single father households (2.4% compared to 1.8%, a difference of 35.0%), single mother households (6.8% compared to 5.1%, a difference of 33.7%), and births to unmarried women (31.0% compared to 26.3%, a difference of 17.7%). Conversely, both communities are more comparable in terms of family households (61.1% compared to 60.9%, a difference of 0.40%), average family size (3.22 compared to 3.11, a difference of 3.3%), and married-couple households (42.9% compared to 44.6%, a difference of 3.9%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Soviet Union communities in the United States are seen in no vehicles in household (10.0% compared to 17.4%, a difference of 73.6%), 4 or more vehicles in household (5.7% compared to 4.4%, a difference of 29.4%), and 3 or more vehicles in household (18.0% compared to 14.2%, a difference of 27.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 82.7%, a difference of 9.0%), 2 or more vehicles in household (53.7% compared to 45.7%, a difference of 17.5%), and 3 or more vehicles in household (18.0% compared to 14.2%, a difference of 27.1%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and Soviet Union communities in the United States are seen in professional degree (4.8% compared to 6.6%, a difference of 36.5%), master's degree (16.3% compared to 20.5%, a difference of 25.6%), and no schooling completed (2.4% compared to 2.0%, a difference of 20.7%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.0%, a difference of 0.42%), kindergarten (97.6% compared to 98.0%, a difference of 0.42%), and 1st grade (97.6% compared to 98.0%, a difference of 0.42%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Soviet Union communities in the United States are seen in disability age under 5 (1.2% compared to 0.95%, a difference of 26.4%), disability age 35 to 64 (11.3% compared to 9.2%, a difference of 22.6%), and disability age 18 to 34 (6.7% compared to 5.7%, a difference of 16.5%). Conversely, both communities are more comparable in terms of female disability (11.7% compared to 11.7%, a difference of 0.13%), vision disability (2.0% compared to 2.0%, a difference of 0.42%), and disability age over 75 (47.2% compared to 46.2%, a difference of 2.1%).