Immigrants from Kenya vs Immigrants from Ghana Community Comparison

The statistical analysis conducted on geographies consisting of 136,416,969 people shows a slight positive correlation between the proportion of Immigrants from Ghana within Immigrant from Kenya communities in the United States with a correlation coefficient (R) of 0.085. On average, for every 1% (one percent) increase in Immigrants from Kenya within a typical geography, there is an increase of 0.021% in Immigrants from Ghana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Kenya corresponds to an increase of 21.0 Immigrants from Ghana.

When considering income, the most significant differences between Immigrants from Kenya and Immigrants from Ghana communities in the United States are seen in wage/income gap (24.4% compared to 22.3%, a difference of 9.3%), median family income ($100,679 compared to $96,544, a difference of 4.3%), and per capita income ($42,661 compared to $41,131, a difference of 3.7%). Conversely, both communities are more comparable in terms of median female earnings ($39,535 compared to $39,894, a difference of 0.91%), median earnings ($46,214 compared to $45,641, a difference of 1.3%), and householder income over 65 years ($59,710 compared to $58,624, a difference of 1.8%).

When considering poverty, the most significant differences between Immigrants from Kenya and Immigrants from Ghana communities in the United States are seen in married-couple family poverty (4.9% compared to 5.9%, a difference of 21.3%), seniors poverty over the age of 65 (10.5% compared to 12.8%, a difference of 21.1%), and seniors poverty over the age of 75 (11.9% compared to 14.4%, a difference of 20.2%). Conversely, both communities are more comparable in terms of single female poverty (21.4% compared to 21.9%, a difference of 2.2%), female poverty among 18-24 year olds (21.0% compared to 20.5%, a difference of 2.2%), and single mother poverty (28.9% compared to 29.9%, a difference of 3.3%).

When considering unemployment, the most significant differences between Immigrants from Kenya and Immigrants from Ghana communities in the United States are seen in unemployment among ages 20 to 24 years (9.7% compared to 11.9%, a difference of 22.6%), unemployment among ages 16 to 19 years (16.2% compared to 19.8%, a difference of 22.1%), and unemployment among ages 25 to 29 years (6.1% compared to 7.5%, a difference of 21.9%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.8% compared to 9.2%, a difference of 4.4%), unemployment among women with children ages 6 to 17 years (8.8% compared to 9.5%, a difference of 8.4%), and unemployment among ages 65 to 74 years (5.1% compared to 5.6%, a difference of 9.3%).

When considering labor participation, the most significant differences between Immigrants from Kenya and Immigrants from Ghana communities in the United States are seen in in labor force | age 16-19 (40.5% compared to 35.4%, a difference of 14.4%), in labor force | age 20-24 (77.0% compared to 74.5%, a difference of 3.3%), and in labor force | age 20-64 (80.7% compared to 80.0%, a difference of 0.90%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.5% compared to 85.2%, a difference of 0.39%), in labor force | age 35-44 (85.1% compared to 84.7%, a difference of 0.53%), and in labor force | age 45-54 (83.5% compared to 82.9%, a difference of 0.65%).

When considering family structure, the most significant differences between Immigrants from Kenya and Immigrants from Ghana communities in the United States are seen in single mother households (7.0% compared to 8.0%, a difference of 14.5%), births to unmarried women (32.1% compared to 34.5%, a difference of 7.6%), and married-couple households (44.1% compared to 41.8%, a difference of 5.5%). Conversely, both communities are more comparable in terms of divorced or separated (12.2% compared to 12.2%, a difference of 0.13%), family households with children (28.1% compared to 28.6%, a difference of 1.6%), and single father households (2.4% compared to 2.4%, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Immigrants from Kenya and Immigrants from Ghana communities in the United States are seen in no vehicles in household (9.6% compared to 16.6%, a difference of 72.2%), 2 or more vehicles in household (55.1% compared to 47.4%, a difference of 16.4%), and 3 or more vehicles in household (18.8% compared to 16.2%, a difference of 16.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 83.4%, a difference of 8.3%), 4 or more vehicles in household (6.0% compared to 5.2%, a difference of 15.1%), and 3 or more vehicles in household (18.8% compared to 16.2%, a difference of 16.2%).

When considering education level, the most significant differences between Immigrants from Kenya and Immigrants from Ghana communities in the United States are seen in no schooling completed (2.1% compared to 2.6%, a difference of 22.3%), doctorate degree (1.9% compared to 1.8%, a difference of 8.3%), and professional degree (4.4% compared to 4.1%, a difference of 7.8%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 97.4%, a difference of 0.49%), kindergarten (97.9% compared to 97.4%, a difference of 0.50%), and 1st grade (97.8% compared to 97.4%, a difference of 0.50%).

When considering disability, the most significant differences between Immigrants from Kenya and Immigrants from Ghana communities in the United States are seen in hearing disability (2.9% compared to 2.6%, a difference of 11.6%), self-care disability (2.3% compared to 2.5%, a difference of 8.0%), and vision disability (2.1% compared to 2.2%, a difference of 7.1%). Conversely, both communities are more comparable in terms of disability (11.6% compared to 11.6%, a difference of 0.050%), cognitive disability (18.3% compared to 18.3%, a difference of 0.090%), and disability age over 75 (47.6% compared to 47.7%, a difference of 0.36%).