Immigrants from Kenya vs German Russian Community Comparison

The statistical analysis conducted on geographies consisting of 74,600,474 people shows a moderate positive correlation between the proportion of German Russians within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.490. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.070% in German Russians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 70.2 German Russians.

When considering income, the most significant differences between Immigrants from Kenya and German Russian communities in the United States are seen in householder income ages 45 - 64 years ($97,964 compared to $89,398, a difference of 9.6%), median household income ($83,068 compared to $75,856, a difference of 9.5%), and householder income under 25 years ($49,633 compared to $45,673, a difference of 8.7%). Conversely, both communities are more comparable in terms of wage/income gap (24.4% compared to 24.6%, a difference of 1.0%), per capita income ($42,661 compared to $40,266, a difference of 5.9%), and householder income ages 25 - 44 years ($90,767 compared to $85,220, a difference of 6.5%).

When considering poverty, the most significant differences between Immigrants from Kenya and German Russian communities in the United States are seen in female poverty among 18-24 year olds (21.0% compared to 25.2%, a difference of 19.9%), single father poverty (15.0% compared to 17.7%, a difference of 18.0%), and single female poverty (21.4% compared to 23.9%, a difference of 11.4%). Conversely, both communities are more comparable in terms of receiving food stamps (11.8% compared to 11.8%, a difference of 0.24%), married-couple family poverty (4.9% compared to 5.0%, a difference of 1.5%), and child poverty among boys under 16 (17.1% compared to 17.4%, a difference of 1.9%).

When considering unemployment, the most significant differences between Immigrants from Kenya and German Russian communities in the United States are seen in unemployment among women with children under 6 years (7.3% compared to 8.2%, a difference of 13.0%), unemployment among ages 65 to 74 years (5.1% compared to 5.5%, a difference of 9.1%), and unemployment among ages 60 to 64 years (4.6% compared to 4.9%, a difference of 7.9%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.4% compared to 5.4%, a difference of 0.17%), unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.25%), and unemployment among ages 25 to 29 years (6.1% compared to 6.2%, a difference of 0.63%).

When considering labor participation, the most significant differences between Immigrants from Kenya and German Russian communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 42.4%, a difference of 4.8%), in labor force | age > 16 (67.6% compared to 66.1%, a difference of 2.2%), and in labor force | age 20-64 (80.7% compared to 80.1%, a difference of 0.76%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.1% compared to 85.2%, a difference of 0.080%), in labor force | age 30-34 (85.5% compared to 85.2%, a difference of 0.31%), and in labor force | age 25-29 (85.4% compared to 85.8%, a difference of 0.47%).

When considering family structure, the most significant differences between Immigrants from Kenya and German Russian communities in the United States are seen in family households with children (28.1% compared to 26.8%, a difference of 4.9%), single mother households (7.0% compared to 6.7%, a difference of 4.7%), and births to unmarried women (32.1% compared to 33.1%, a difference of 3.2%). Conversely, both communities are more comparable in terms of married-couple households (44.1% compared to 44.0%, a difference of 0.090%), single father households (2.4% compared to 2.4%, a difference of 0.55%), and currently married (44.9% compared to 45.5%, a difference of 1.4%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and German Russian communities in the United States are seen in 4 or more vehicles in household (6.0% compared to 7.0%, a difference of 17.1%), no vehicles in household (9.6% compared to 10.5%, a difference of 9.3%), and 3 or more vehicles in household (18.8% compared to 20.5%, a difference of 9.1%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (55.1% compared to 55.6%, a difference of 0.83%), 1 or more vehicles in household (90.4% compared to 89.6%, a difference of 0.89%), and 3 or more vehicles in household (18.8% compared to 20.5%, a difference of 9.1%).

When considering education level, the most significant differences between Immigrants from Kenya and German Russian communities in the United States are seen in no schooling completed (2.1% compared to 1.8%, a difference of 16.2%), master's degree (15.3% compared to 13.5%, a difference of 13.3%), and professional degree (4.4% compared to 4.0%, a difference of 10.4%). Conversely, both communities are more comparable in terms of ged/equivalency (86.2% compared to 86.2%, a difference of 0.010%), nursery school (97.9% compared to 98.2%, a difference of 0.35%), and kindergarten (97.9% compared to 98.2%, a difference of 0.35%).

When considering disability, the most significant differences between Immigrants from Kenya and German Russian communities in the United States are seen in disability age under 5 (1.2% compared to 1.6%, a difference of 31.1%), hearing disability (2.9% compared to 3.3%, a difference of 14.2%), and vision disability (2.1% compared to 2.3%, a difference of 9.9%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.9%, a difference of 0.42%), cognitive disability (18.3% compared to 18.2%, a difference of 0.46%), and disability age over 75 (47.6% compared to 47.3%, a difference of 0.59%).