Immigrants from Uganda vs Immigrants from Kenya Community Comparison

The statistical analysis conducted on geographies consisting of 101,094,201 people shows a poor negative correlation between the proportion of Immigrants from Kenya within Immigrant from Uganda communities in the United States with a correlation coefficient (R) of -0.108. On average, for every 1% (one percent) increase in Immigrants from Uganda within a typical geography, there is a decrease of 0.044% in Immigrants from Kenya. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Uganda corresponds to a decrease of 44.2 Immigrants from Kenya.

When considering income, the most significant differences between Immigrants from Uganda and Immigrants from Kenya communities in the United States are seen in householder income ages 45 - 64 years ($103,584 compared to $97,964, a difference of 5.7%), per capita income ($45,043 compared to $42,661, a difference of 5.6%), and householder income under 25 years ($52,374 compared to $49,633, a difference of 5.5%). Conversely, both communities are more comparable in terms of wage/income gap (24.9% compared to 24.4%, a difference of 2.2%), median female earnings ($40,739 compared to $39,535, a difference of 3.0%), and householder income over 65 years ($61,976 compared to $59,710, a difference of 3.8%).

When considering poverty, the most significant differences between Immigrants from Uganda and Immigrants from Kenya communities in the United States are seen in single father poverty (16.7% compared to 15.0%, a difference of 11.6%), married-couple family poverty (5.2% compared to 4.9%, a difference of 6.3%), and single female poverty (20.3% compared to 21.4%, a difference of 5.5%). Conversely, both communities are more comparable in terms of poverty (12.8% compared to 12.8%, a difference of 0.16%), child poverty among boys under 16 (17.0% compared to 17.1%, a difference of 0.24%), and child poverty under the age of 16 (16.8% compared to 16.9%, a difference of 0.60%).

When considering unemployment, the most significant differences between Immigrants from Uganda and Immigrants from Kenya communities in the United States are seen in unemployment among women with children ages 6 to 17 years (10.7% compared to 8.8%, a difference of 21.3%), unemployment among seniors over 75 years (8.0% compared to 8.8%, a difference of 10.2%), and unemployment among ages 45 to 54 years (4.7% compared to 4.4%, a difference of 6.2%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.1% compared to 5.1%, a difference of 0.050%), unemployment among ages 30 to 34 years (5.2% compared to 5.2%, a difference of 0.19%), and unemployment among seniors over 65 years (4.8% compared to 4.9%, a difference of 1.4%).

When considering labor participation, the most significant differences between Immigrants from Uganda and Immigrants from Kenya communities in the United States are seen in in labor force | age 16-19 (39.2% compared to 40.5%, a difference of 3.3%), in labor force | age 20-24 (76.0% compared to 77.0%, a difference of 1.2%), and in labor force | age 25-29 (86.0% compared to 85.4%, a difference of 0.61%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.7% compared to 80.7%, a difference of 0.010%), in labor force | age > 16 (67.5% compared to 67.6%, a difference of 0.080%), and in labor force | age 35-44 (85.0% compared to 85.1%, a difference of 0.10%).

When considering family structure, the most significant differences between Immigrants from Uganda and Immigrants from Kenya communities in the United States are seen in single mother households (6.6% compared to 7.0%, a difference of 6.2%), births to unmarried women (30.5% compared to 32.1%, a difference of 5.1%), and divorced or separated (11.7% compared to 12.2%, a difference of 4.1%). Conversely, both communities are more comparable in terms of currently married (45.0% compared to 44.9%, a difference of 0.29%), family households with children (28.0% compared to 28.1%, a difference of 0.38%), and single father households (2.4% compared to 2.4%, a difference of 0.58%).

When considering vehicle availability, the most significant differences between Immigrants from Uganda and Immigrants from Kenya communities in the United States are seen in no vehicles in household (10.0% compared to 9.6%, a difference of 3.7%), 3 or more vehicles in household (18.4% compared to 18.8%, a difference of 2.1%), and 4 or more vehicles in household (5.9% compared to 6.0%, a difference of 0.60%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (55.0% compared to 55.1%, a difference of 0.30%), 1 or more vehicles in household (90.1% compared to 90.4%, a difference of 0.39%), and 4 or more vehicles in household (5.9% compared to 6.0%, a difference of 0.60%).

When considering education level, the most significant differences between Immigrants from Uganda and Immigrants from Kenya communities in the United States are seen in doctorate degree (2.2% compared to 1.9%, a difference of 15.9%), professional degree (5.0% compared to 4.4%, a difference of 15.1%), and master's degree (16.6% compared to 15.3%, a difference of 9.1%). Conversely, both communities are more comparable in terms of 2nd grade (97.8% compared to 97.8%, a difference of 0.0%), 3rd grade (97.7% compared to 97.7%, a difference of 0.0%), and nursery school (97.9% compared to 97.9%, a difference of 0.030%).

When considering disability, the most significant differences between Immigrants from Uganda and Immigrants from Kenya communities in the United States are seen in disability age under 5 (1.1% compared to 1.2%, a difference of 8.0%), disability age 65 to 74 (22.8% compared to 23.8%, a difference of 4.6%), and disability age 35 to 64 (11.2% compared to 11.6%, a difference of 3.8%). Conversely, both communities are more comparable in terms of hearing disability (2.9% compared to 2.9%, a difference of 0.10%), vision disability (2.1% compared to 2.1%, a difference of 0.48%), and cognitive disability (18.1% compared to 18.3%, a difference of 1.1%).