Immigrants from Africa vs Immigrants from Belarus Community Comparison

The statistical analysis conducted on geographies consisting of 147,650,488 people shows a slight positive correlation between the proportion of Immigrants from Belarus within Immigrant from Africa communities in the United States with a correlation coefficient (R) of 0.093. On average, for every 1% (one percent) increase in Immigrants from Africa within a typical geography, there is an increase of 0.001% in Immigrants from Belarus. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Africa corresponds to an increase of 0.6 Immigrants from Belarus.

When considering income, the most significant differences between Immigrants from Africa and Immigrants from Belarus communities in the United States are seen in householder income ages 25 - 44 years ($90,372 compared to $107,393, a difference of 18.8%), median male earnings ($53,457 compared to $62,658, a difference of 17.2%), and per capita income ($42,950 compared to $50,303, a difference of 17.1%). Conversely, both communities are more comparable in terms of householder income over 65 years ($59,837 compared to $62,162, a difference of 3.9%), householder income under 25 years ($50,609 compared to $55,743, a difference of 10.1%), and wage/income gap (23.2% compared to 25.7%, a difference of 11.0%).

When considering poverty, the most significant differences between Immigrants from Africa and Immigrants from Belarus communities in the United States are seen in child poverty under the age of 5 (18.6% compared to 14.7%, a difference of 26.8%), child poverty among girls under 16 (18.2% compared to 14.8%, a difference of 22.5%), and child poverty under the age of 16 (18.0% compared to 14.7%, a difference of 22.4%). Conversely, both communities are more comparable in terms of single father poverty (15.8% compared to 15.8%, a difference of 0.51%), married-couple family poverty (5.5% compared to 5.4%, a difference of 1.4%), and seniors poverty over the age of 65 (11.6% compared to 11.8%, a difference of 1.5%).

When considering unemployment, the most significant differences between Immigrants from Africa and Immigrants from Belarus communities in the United States are seen in unemployment among women with children under 6 years (7.7% compared to 6.6%, a difference of 17.6%), unemployment among seniors over 75 years (9.0% compared to 8.0%, a difference of 12.1%), and unemployment among women with children ages 6 to 17 years (9.4% compared to 8.4%, a difference of 11.5%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (12.1% compared to 12.1%, a difference of 0.36%), unemployment among ages 20 to 24 years (10.6% compared to 10.7%, a difference of 0.88%), and unemployment among ages 45 to 54 years (4.6% compared to 4.6%, a difference of 1.2%).

When considering labor participation, the most significant differences between Immigrants from Africa and Immigrants from Belarus communities in the United States are seen in in labor force | age 16-19 (38.0% compared to 33.4%, a difference of 13.8%), in labor force | age 20-24 (75.8% compared to 73.0%, a difference of 3.9%), and in labor force | age > 16 (67.4% compared to 65.2%, a difference of 3.3%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.2% compared to 83.3%, a difference of 0.050%), in labor force | age 30-34 (85.3% compared to 85.2%, a difference of 0.14%), and in labor force | age 35-44 (84.9% compared to 84.8%, a difference of 0.18%).

When considering family structure, the most significant differences between Immigrants from Africa and Immigrants from Belarus communities in the United States are seen in single mother households (7.3% compared to 5.5%, a difference of 32.7%), births to unmarried women (33.0% compared to 25.6%, a difference of 28.7%), and single father households (2.4% compared to 1.9%, a difference of 27.7%). Conversely, both communities are more comparable in terms of family households (62.4% compared to 63.7%, a difference of 2.1%), average family size (3.25 compared to 3.17, a difference of 2.3%), and family households with children (28.0% compared to 26.8%, a difference of 4.5%).

When considering vehicle availability, the most significant differences between Immigrants from Africa and Immigrants from Belarus communities in the United States are seen in no vehicles in household (12.5% compared to 16.7%, a difference of 33.8%), 4 or more vehicles in household (5.6% compared to 4.7%, a difference of 17.7%), and 3 or more vehicles in household (17.6% compared to 15.5%, a difference of 13.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.6% compared to 83.3%, a difference of 5.1%), 2 or more vehicles in household (51.8% compared to 47.9%, a difference of 8.1%), and 3 or more vehicles in household (17.6% compared to 15.5%, a difference of 13.1%).

When considering education level, the most significant differences between Immigrants from Africa and Immigrants from Belarus communities in the United States are seen in professional degree (4.6% compared to 5.5%, a difference of 21.3%), master's degree (15.7% compared to 18.9%, a difference of 20.3%), and bachelor's degree (38.9% compared to 45.0%, a difference of 15.7%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.0%, a difference of 0.34%), kindergarten (97.6% compared to 97.9%, a difference of 0.34%), and 1st grade (97.6% compared to 97.9%, a difference of 0.34%).

When considering disability, the most significant differences between Immigrants from Africa and Immigrants from Belarus communities in the United States are seen in disability age under 5 (1.2% compared to 1.0%, a difference of 19.6%), disability age 35 to 64 (11.5% compared to 9.7%, a difference of 18.2%), and disability age 5 to 17 (5.7% compared to 5.0%, a difference of 14.7%). Conversely, both communities are more comparable in terms of disability age over 75 (47.3% compared to 47.1%, a difference of 0.53%), female disability (11.9% compared to 11.8%, a difference of 1.5%), and disability (11.4% compared to 11.1%, a difference of 2.8%).