Immigrants from Kenya vs Immigrants from Belarus Community Comparison

The statistical analysis conducted on geographies consisting of 105,649,766 people shows a mild positive correlation between the proportion of Immigrants from Belarus within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.398. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.023% in Immigrants from Belarus. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 23.3 Immigrants from Belarus.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Belarus communities in the United States are seen in householder income ages 25 - 44 years ($90,767 compared to $107,393, a difference of 18.3%), per capita income ($42,661 compared to $50,303, a difference of 17.9%), and median male earnings ($53,427 compared to $62,658, a difference of 17.3%). Conversely, both communities are more comparable in terms of householder income over 65 years ($59,710 compared to $62,162, a difference of 4.1%), wage/income gap (24.4% compared to 25.7%, a difference of 5.5%), and householder income under 25 years ($49,633 compared to $55,743, a difference of 12.3%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Belarus communities in the United States are seen in child poverty under the age of 5 (17.9% compared to 14.7%, a difference of 21.8%), child poverty among girls under 16 (17.2% compared to 14.8%, a difference of 16.0%), and female poverty among 25-34 year olds (13.8% compared to 12.0%, a difference of 15.3%). Conversely, both communities are more comparable in terms of receiving food stamps (11.8% compared to 11.5%, a difference of 2.4%), single male poverty (12.5% compared to 11.8%, a difference of 5.4%), and single mother poverty (28.9% compared to 27.4%, a difference of 5.6%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Belarus communities in the United States are seen in unemployment among ages 16 to 19 years (16.2% compared to 18.6%, a difference of 14.7%), unemployment among women with children under 6 years (7.3% compared to 6.6%, a difference of 10.3%), and unemployment among ages 55 to 59 years (4.5% compared to 4.9%, a difference of 10.1%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.4% compared to 5.3%, a difference of 0.11%), male unemployment (5.2% compared to 5.4%, a difference of 3.4%), and unemployment among ages 65 to 74 years (5.1% compared to 5.3%, a difference of 3.6%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Belarus communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 33.4%, a difference of 21.2%), in labor force | age 20-24 (77.0% compared to 73.0%, a difference of 5.4%), and in labor force | age > 16 (67.6% compared to 65.2%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.5% compared to 83.3%, a difference of 0.23%), in labor force | age 30-34 (85.5% compared to 85.2%, a difference of 0.36%), and in labor force | age 35-44 (85.1% compared to 84.8%, a difference of 0.41%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Belarus communities in the United States are seen in single father households (2.4% compared to 1.9%, a difference of 28.9%), single mother households (7.0% compared to 5.5%, a difference of 27.1%), and births to unmarried women (32.1% compared to 25.6%, a difference of 25.1%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.17, a difference of 1.1%), family households (62.3% compared to 63.7%, a difference of 2.2%), and family households with children (28.1% compared to 26.8%, a difference of 5.1%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Belarus communities in the United States are seen in no vehicles in household (9.6% compared to 16.7%, a difference of 73.7%), 4 or more vehicles in household (6.0% compared to 4.7%, a difference of 25.7%), and 3 or more vehicles in household (18.8% compared to 15.5%, a difference of 21.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 83.3%, a difference of 8.5%), 2 or more vehicles in household (55.1% compared to 47.9%, a difference of 15.1%), and 3 or more vehicles in household (18.8% compared to 15.5%, a difference of 21.0%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Belarus communities in the United States are seen in professional degree (4.4% compared to 5.5%, a difference of 26.3%), master's degree (15.3% compared to 18.9%, a difference of 23.9%), and doctorate degree (1.9% compared to 2.2%, a difference of 16.9%). Conversely, both communities are more comparable in terms of kindergarten (97.9% compared to 97.9%, a difference of 0.050%), 1st grade (97.8% compared to 97.9%, a difference of 0.050%), and 2nd grade (97.8% compared to 97.8%, a difference of 0.050%).

When considering disability, the most significant differences between Immigrants from Kenya 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 21.4%), disability age 35 to 64 (11.6% compared to 9.7%, a difference of 19.7%), and disability age 18 to 34 (6.9% compared to 5.9%, a difference of 16.7%). Conversely, both communities are more comparable in terms of disability age over 75 (47.6% compared to 47.1%, a difference of 1.1%), hearing disability (2.9% compared to 2.8%, a difference of 1.4%), and female disability (12.0% compared to 11.8%, a difference of 2.1%).