Immigrants from Eastern Europe vs African Community Comparison

The statistical analysis conducted on geographies consisting of 415,802,422 people shows a substantial negative correlation between the proportion of Africans within Immigrant from Eastern Europe communities in the United States with a correlation coefficient (R) of -0.543. On average, for every 1% (one percent) increase in Immigrants from Eastern Europe within a typical geography, there is a decrease of 0.015% in Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Europe corresponds to a decrease of 14.8 Africans.

When considering income, the most significant differences between Immigrants from Eastern Europe and African communities in the United States are seen in householder income ages 25 - 44 years ($104,662 compared to $78,986, a difference of 32.5%), per capita income ($49,316 compared to $37,785, a difference of 30.5%), and householder income ages 45 - 64 years ($109,335 compared to $84,925, a difference of 28.7%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 22.9%, a difference of 15.0%), householder income over 65 years ($62,693 compared to $53,711, a difference of 16.7%), and median female earnings ($43,309 compared to $36,530, a difference of 18.6%).

When considering poverty, the most significant differences between Immigrants from Eastern Europe and African communities in the United States are seen in child poverty under the age of 5 (15.1% compared to 22.8%, a difference of 50.8%), child poverty under the age of 16 (14.4% compared to 21.7%, a difference of 50.4%), and child poverty among girls under 16 (14.6% compared to 21.9%, a difference of 49.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.6% compared to 13.6%, a difference of 8.0%), single father poverty (15.8% compared to 18.3%, a difference of 15.6%), and seniors poverty over the age of 65 (10.9% compared to 12.6%, a difference of 15.8%).

When considering unemployment, the most significant differences between Immigrants from Eastern Europe and African communities in the United States are seen in unemployment among women with children under 6 years (7.1% compared to 9.2%, a difference of 29.7%), unemployment among women with children under 18 years (5.2% compared to 6.5%, a difference of 24.5%), and unemployment among women with children ages 6 to 17 years (8.5% compared to 10.4%, a difference of 22.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 5.0%, a difference of 1.5%), unemployment among seniors over 65 years (5.1% compared to 5.2%, a difference of 1.7%), and unemployment among ages 65 to 74 years (5.3% compared to 5.5%, a difference of 2.4%).

When considering labor participation, the most significant differences between Immigrants from Eastern Europe and African communities in the United States are seen in in labor force | age 16-19 (35.8% compared to 38.0%, a difference of 6.2%), in labor force | age 45-54 (83.3% compared to 80.5%, a difference of 3.5%), and in labor force | age 20-64 (80.2% compared to 77.9%, a difference of 2.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.9% compared to 75.0%, a difference of 0.14%), in labor force | age > 16 (65.4% compared to 64.6%, a difference of 1.1%), and in labor force | age 25-29 (85.2% compared to 83.2%, a difference of 2.3%).

When considering family structure, the most significant differences between Immigrants from Eastern Europe and African communities in the United States are seen in single mother households (5.6% compared to 8.2%, a difference of 46.1%), births to unmarried women (27.6% compared to 39.7%, a difference of 44.1%), and single father households (2.0% compared to 2.5%, a difference of 23.2%). Conversely, both communities are more comparable in terms of family households with children (26.9% compared to 27.2%, a difference of 1.1%), average family size (3.17 compared to 3.25, a difference of 2.6%), and family households (64.0% compared to 62.1%, a difference of 2.9%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Europe and African communities in the United States are seen in no vehicles in household (13.6% compared to 12.3%, a difference of 10.3%), 4 or more vehicles in household (5.4% compared to 5.8%, a difference of 7.5%), and 3 or more vehicles in household (17.4% compared to 18.2%, a difference of 4.5%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (51.7% compared to 51.8%, a difference of 0.20%), 1 or more vehicles in household (86.7% compared to 87.8%, a difference of 1.2%), and 3 or more vehicles in household (17.4% compared to 18.2%, a difference of 4.5%).

When considering education level, the most significant differences between Immigrants from Eastern Europe and African communities in the United States are seen in professional degree (5.2% compared to 3.7%, a difference of 42.8%), master's degree (17.6% compared to 12.9%, a difference of 36.4%), and doctorate degree (2.1% compared to 1.6%, a difference of 34.5%). Conversely, both communities are more comparable in terms of 1st grade (97.9% compared to 97.8%, a difference of 0.15%), nursery school (98.0% compared to 97.9%, a difference of 0.16%), and kindergarten (98.0% compared to 97.8%, a difference of 0.16%).

When considering disability, the most significant differences between Immigrants from Eastern Europe and African communities in the United States are seen in disability age 35 to 64 (10.1% compared to 13.6%, a difference of 34.8%), disability age 5 to 17 (5.1% compared to 6.5%, a difference of 26.3%), and vision disability (2.0% compared to 2.5%, a difference of 25.1%). Conversely, both communities are more comparable in terms of hearing disability (3.0% compared to 3.0%, a difference of 2.5%), disability age over 75 (46.3% compared to 48.9%, a difference of 5.4%), and self-care disability (2.5% compared to 2.7%, a difference of 9.3%).