Immigrants from Kenya vs Immigrants from Russia Community Comparison

The statistical analysis conducted on geographies consisting of 185,109,243 people shows a weak positive correlation between the proportion of Immigrants from Russia within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.261. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.030% in Immigrants from Russia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 29.7 Immigrants from Russia.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Russia communities in the United States are seen in per capita income ($42,661 compared to $52,044, a difference of 22.0%), householder income ages 25 - 44 years ($90,767 compared to $108,751, a difference of 19.8%), and median male earnings ($53,427 compared to $63,326, a difference of 18.5%). Conversely, both communities are more comparable in terms of householder income over 65 years ($59,710 compared to $64,512, a difference of 8.0%), wage/income gap (24.4% compared to 26.4%, a difference of 8.2%), and householder income under 25 years ($49,633 compared to $55,891, a difference of 12.6%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Russia communities in the United States are seen in child poverty under the age of 5 (17.9% compared to 15.0%, a difference of 19.1%), child poverty among girls under 16 (17.2% compared to 14.7%, a difference of 17.3%), and child poverty under the age of 16 (16.9% compared to 14.5%, a difference of 16.9%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.9% compared to 5.0%, a difference of 2.9%), single father poverty (15.0% compared to 15.5%, a difference of 3.2%), and single male poverty (12.5% compared to 11.9%, a difference of 5.1%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Russia communities in the United States are seen in unemployment among ages 16 to 19 years (16.2% compared to 18.2%, a difference of 12.5%), unemployment among ages 55 to 59 years (4.5% compared to 4.9%, a difference of 9.4%), and unemployment among women with children under 6 years (7.3% compared to 6.7%, a difference of 9.0%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.8% compared to 8.6%, a difference of 1.8%), male unemployment (5.2% compared to 5.3%, a difference of 1.8%), and unemployment (5.1% compared to 5.2%, a difference of 2.1%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Russia communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 34.1%, a difference of 18.9%), in labor force | age 20-24 (77.0% compared to 73.5%, a difference of 4.8%), and in labor force | age > 16 (67.6% compared to 65.3%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.5% compared to 85.3%, a difference of 0.21%), in labor force | age 45-54 (83.5% compared to 83.2%, a difference of 0.36%), and in labor force | age 35-44 (85.1% compared to 84.8%, a difference of 0.43%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Russia communities in the United States are seen in single mother households (7.0% compared to 5.5%, a difference of 26.9%), single father households (2.4% compared to 2.0%, a difference of 22.5%), and births to unmarried women (32.1% compared to 27.1%, a difference of 18.1%). Conversely, both communities are more comparable in terms of family households (62.3% compared to 63.2%, a difference of 1.3%), average family size (3.21 compared to 3.16, a difference of 1.4%), 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 Russia communities in the United States are seen in no vehicles in household (9.6% compared to 15.1%, a difference of 56.6%), 4 or more vehicles in household (6.0% compared to 5.3%, a difference of 12.1%), and 3 or more vehicles in household (18.8% compared to 16.9%, a difference of 11.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 85.4%, a difference of 5.8%), 2 or more vehicles in household (55.1% compared to 50.3%, a difference of 9.6%), and 3 or more vehicles in household (18.8% compared to 16.9%, a difference of 11.0%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Russia communities in the United States are seen in professional degree (4.4% compared to 6.0%, a difference of 37.9%), doctorate degree (1.9% compared to 2.5%, a difference of 31.9%), and master's degree (15.3% compared to 19.4%, a difference of 27.3%). Conversely, both communities are more comparable in terms of 7th grade (96.1% compared to 96.2%, a difference of 0.090%), kindergarten (97.9% compared to 98.0%, a difference of 0.11%), and 1st grade (97.8% compared to 97.9%, a difference of 0.11%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Russia communities in the United States are seen in disability age 35 to 64 (11.6% compared to 9.8%, a difference of 18.0%), disability age 5 to 17 (5.8% compared to 5.0%, a difference of 15.8%), and disability age under 5 (1.2% compared to 1.1%, a difference of 15.5%). Conversely, both communities are more comparable in terms of disability age over 75 (47.6% compared to 47.0%, a difference of 1.2%), hearing disability (2.9% compared to 2.9%, a difference of 1.4%), and ambulatory disability (5.8% compared to 5.9%, a difference of 1.8%).