Immigrants from Kenya vs Immigrants from Liberia Community Comparison

The statistical analysis conducted on geographies consisting of 103,383,972 people shows a poor positive correlation between the proportion of Immigrants from Liberia within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.137. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.036% in Immigrants from Liberia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 36.1 Immigrants from Liberia.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Liberia communities in the United States are seen in wage/income gap (24.4% compared to 20.6%, a difference of 18.6%), householder income ages 25 - 44 years ($90,767 compared to $80,863, a difference of 12.2%), and per capita income ($42,661 compared to $38,165, a difference of 11.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($49,633 compared to $47,981, a difference of 3.4%), median female earnings ($39,535 compared to $37,970, a difference of 4.1%), and median earnings ($46,214 compared to $42,923, a difference of 7.7%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Liberia communities in the United States are seen in receiving food stamps (11.8% compared to 15.1%, a difference of 28.0%), child poverty among girls under 16 (17.2% compared to 20.2%, a difference of 17.7%), and family poverty (9.2% compared to 10.8%, a difference of 17.6%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.0% compared to 20.7%, a difference of 1.4%), single male poverty (12.5% compared to 12.7%, a difference of 1.8%), and single mother poverty (28.9% compared to 30.1%, a difference of 4.1%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Liberia communities in the United States are seen in unemployment among seniors over 75 years (8.8% compared to 10.9%, a difference of 23.3%), unemployment among women with children ages 6 to 17 years (8.8% compared to 10.3%, a difference of 17.4%), and unemployment among ages 35 to 44 years (4.4% compared to 5.2%, a difference of 16.8%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.6% compared to 4.7%, a difference of 2.4%), unemployment among ages 45 to 54 years (4.4% compared to 4.8%, a difference of 8.9%), and female unemployment (5.0% compared to 5.6%, a difference of 11.1%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Liberia communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 41.5%, a difference of 2.3%), in labor force | age 45-54 (83.5% compared to 82.7%, a difference of 0.86%), and in labor force | age 25-29 (85.4% compared to 85.9%, a difference of 0.51%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (67.6% compared to 67.6%, a difference of 0.090%), in labor force | age 20-24 (77.0% compared to 77.1%, a difference of 0.16%), and in labor force | age 20-64 (80.7% compared to 80.5%, a difference of 0.26%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Liberia communities in the United States are seen in single mother households (7.0% compared to 8.7%, a difference of 24.9%), births to unmarried women (32.1% compared to 37.6%, a difference of 17.3%), and married-couple households (44.1% compared to 40.3%, a difference of 9.2%). Conversely, both communities are more comparable in terms of family households with children (28.1% compared to 28.2%, a difference of 0.37%), family households (62.3% compared to 62.0%, a difference of 0.51%), and average family size (3.21 compared to 3.27, a difference of 2.0%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Liberia communities in the United States are seen in no vehicles in household (9.6% compared to 12.2%, a difference of 26.7%), 4 or more vehicles in household (6.0% compared to 5.4%, a difference of 11.2%), and 3 or more vehicles in household (18.8% compared to 17.1%, a difference of 9.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 87.8%, a difference of 3.0%), 2 or more vehicles in household (55.1% compared to 51.3%, a difference of 7.4%), and 3 or more vehicles in household (18.8% compared to 17.1%, a difference of 9.9%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Liberia communities in the United States are seen in doctorate degree (1.9% compared to 1.5%, a difference of 28.3%), professional degree (4.4% compared to 3.4%, a difference of 27.7%), and master's degree (15.3% compared to 12.5%, a difference of 22.0%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 97.5%, a difference of 0.36%), 1st grade (97.8% compared to 97.5%, a difference of 0.36%), and 2nd grade (97.8% compared to 97.4%, a difference of 0.36%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Liberia communities in the United States are seen in vision disability (2.1% compared to 2.4%, a difference of 14.4%), disability age 35 to 64 (11.6% compared to 13.2%, a difference of 14.0%), and self-care disability (2.3% compared to 2.6%, a difference of 12.7%). Conversely, both communities are more comparable in terms of hearing disability (2.9% compared to 2.8%, a difference of 0.91%), disability age over 75 (47.6% compared to 48.1%, a difference of 1.1%), and cognitive disability (18.3% compared to 18.7%, a difference of 1.9%).