Immigrants from Western Africa vs Soviet Union Community Comparison

The statistical analysis conducted on geographies consisting of 41,890,755 people shows no correlation between the proportion of Soviet Union within Immigrant from Western Africa communities in the United States with a correlation coefficient (R) of -0.014. On average, for every 1% (one percent) increase in Immigrants from Western Africa within a typical geography, there is a decrease of 0.000% in Soviet Union. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Africa corresponds to a decrease of 0.3 Soviet Union.

When considering income, the most significant differences between Immigrants from Western Africa and Soviet Union communities in the United States are seen in per capita income ($40,294 compared to $54,202, a difference of 34.5%), householder income ages 25 - 44 years ($85,676 compared to $108,457, a difference of 26.6%), and median family income ($94,638 compared to $119,262, a difference of 26.0%). Conversely, both communities are more comparable in terms of wage/income gap (22.0% compared to 24.2%, a difference of 9.8%), householder income over 65 years ($57,119 compared to $62,848, a difference of 10.0%), and householder income under 25 years ($49,621 compared to $55,340, a difference of 11.5%).

When considering poverty, the most significant differences between Immigrants from Western Africa and Soviet Union communities in the United States are seen in child poverty under the age of 5 (19.7% compared to 14.7%, a difference of 34.0%), child poverty among boys under 16 (19.3% compared to 14.5%, a difference of 32.6%), and receiving food stamps (14.7% compared to 11.1%, a difference of 32.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (12.6% compared to 12.6%, a difference of 0.16%), seniors poverty over the age of 75 (13.9% compared to 14.5%, a difference of 3.9%), and female poverty among 18-24 year olds (20.6% compared to 19.5%, a difference of 5.8%).

When considering unemployment, the most significant differences between Immigrants from Western Africa and Soviet Union communities in the United States are seen in unemployment among seniors over 75 years (9.8% compared to 6.6%, a difference of 47.0%), unemployment among women with children ages 6 to 17 years (10.1% compared to 7.1%, a difference of 42.0%), and unemployment among women with children under 18 years (6.2% compared to 4.9%, a difference of 25.9%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (11.7% compared to 11.7%, a difference of 0.040%), unemployment among ages 55 to 59 years (5.1% compared to 5.1%, a difference of 1.2%), and unemployment among ages 45 to 54 years (4.9% compared to 4.7%, a difference of 3.0%).

When considering labor participation, the most significant differences between Immigrants from Western Africa and Soviet Union communities in the United States are seen in in labor force | age 16-19 (36.9% compared to 31.4%, a difference of 17.4%), in labor force | age 20-24 (75.1% compared to 72.3%, a difference of 4.0%), and in labor force | age > 16 (67.1% compared to 65.0%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (82.8% compared to 83.0%, a difference of 0.23%), in labor force | age 20-64 (80.0% compared to 80.2%, a difference of 0.32%), and in labor force | age 35-44 (84.7% compared to 85.1%, a difference of 0.43%).

When considering family structure, the most significant differences between Immigrants from Western Africa and Soviet Union communities in the United States are seen in single mother households (8.2% compared to 5.1%, a difference of 59.5%), births to unmarried women (36.0% compared to 26.3%, a difference of 36.7%), and single father households (2.4% compared to 1.8%, a difference of 36.4%). Conversely, both communities are more comparable in terms of family households (63.1% compared to 60.9%, a difference of 3.7%), average family size (3.29 compared to 3.11, a difference of 5.6%), and married-couple households (41.4% compared to 44.6%, a difference of 7.9%).

When considering vehicle availability, the most significant differences between Immigrants from Western Africa and Soviet Union communities in the United States are seen in 4 or more vehicles in household (5.4% compared to 4.4%, a difference of 22.1%), 3 or more vehicles in household (16.9% compared to 14.2%, a difference of 19.3%), and no vehicles in household (15.0% compared to 17.4%, a difference of 16.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (84.9% compared to 82.7%, a difference of 2.7%), 2 or more vehicles in household (49.4% compared to 45.7%, a difference of 7.9%), and no vehicles in household (15.0% compared to 17.4%, a difference of 16.2%).

When considering education level, the most significant differences between Immigrants from Western Africa and Soviet Union communities in the United States are seen in professional degree (4.0% compared to 6.6%, a difference of 63.9%), doctorate degree (1.7% compared to 2.5%, a difference of 43.9%), and master's degree (14.4% compared to 20.5%, a difference of 42.6%). Conversely, both communities are more comparable in terms of nursery school (97.4% compared to 98.0%, a difference of 0.62%), kindergarten (97.4% compared to 98.0%, a difference of 0.62%), and 1st grade (97.4% compared to 98.0%, a difference of 0.62%).

When considering disability, the most significant differences between Immigrants from Western 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 32.0%), disability age 35 to 64 (12.0% compared to 9.2%, a difference of 30.1%), and disability age 5 to 17 (5.9% compared to 5.0%, a difference of 19.5%). Conversely, both communities are more comparable in terms of self-care disability (2.5% compared to 2.5%, a difference of 0.73%), disability age over 75 (48.0% compared to 46.2%, a difference of 3.9%), and female disability (12.3% compared to 11.7%, a difference of 4.7%).