Subsaharan African vs Immigrants from Ghana Community Comparison

The statistical analysis conducted on geographies consisting of 199,435,767 people shows a poor positive correlation between the proportion of Immigrants from Ghana within Subsaharan African communities in the United States with a correlation coefficient (R) of 0.159. On average, for every 1% (one percent) increase in Sub-Saharan Africans within a typical geography, there is an increase of 0.009% in Immigrants from Ghana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sub-Saharan Africans corresponds to an increase of 9.2 Immigrants from Ghana.

When considering income, the most significant differences between Subsaharan African and Immigrants from Ghana communities in the United States are seen in householder income under 25 years ($48,691 compared to $51,333, a difference of 5.4%), median household income ($77,631 compared to $81,489, a difference of 5.0%), and householder income ages 45 - 64 years ($90,691 compared to $94,982, a difference of 4.7%). Conversely, both communities are more comparable in terms of wage/income gap (22.8% compared to 22.3%, a difference of 2.3%), per capita income ($40,152 compared to $41,131, a difference of 2.4%), and median male earnings ($50,408 compared to $51,836, a difference of 2.8%).

When considering poverty, the most significant differences between Subsaharan African and Immigrants from Ghana communities in the United States are seen in seniors poverty over the age of 75 (13.2% compared to 14.4%, a difference of 8.6%), female poverty among 18-24 year olds (22.0% compared to 20.5%, a difference of 7.2%), and child poverty among girls under 16 (20.1% compared to 18.9%, a difference of 6.2%). Conversely, both communities are more comparable in terms of family poverty (10.9% compared to 10.8%, a difference of 0.030%), receiving food stamps (14.1% compared to 14.1%, a difference of 0.20%), and single father poverty (16.9% compared to 16.7%, a difference of 1.2%).

When considering unemployment, the most significant differences between Subsaharan African and Immigrants from Ghana communities in the United States are seen in unemployment among ages 20 to 24 years (11.1% compared to 11.9%, a difference of 7.9%), unemployment among ages 55 to 59 years (5.0% compared to 5.3%, a difference of 6.5%), and unemployment among youth under 25 years (12.6% compared to 13.4%, a difference of 5.8%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.2% compared to 9.2%, a difference of 0.45%), unemployment among women with children under 18 years (6.2% compared to 6.2%, a difference of 0.99%), and unemployment among women with children under 6 years (8.4% compared to 8.3%, a difference of 1.3%).

When considering labor participation, the most significant differences between Subsaharan African and Immigrants from Ghana communities in the United States are seen in in labor force | age 16-19 (38.4% compared to 35.4%, a difference of 8.6%), in labor force | age 20-24 (75.7% compared to 74.5%, a difference of 1.6%), and in labor force | age > 16 (66.2% compared to 67.1%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.3% compared to 84.7%, a difference of 0.45%), in labor force | age 35-44 (84.1% compared to 84.7%, a difference of 0.73%), and in labor force | age 30-34 (84.5% compared to 85.2%, a difference of 0.84%).

When considering family structure, the most significant differences between Subsaharan African and Immigrants from Ghana communities in the United States are seen in births to unmarried women (36.7% compared to 34.5%, a difference of 6.2%), divorced or separated (12.7% compared to 12.2%, a difference of 4.3%), and family households with children (27.6% compared to 28.6%, a difference of 3.7%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 0.20%), currently married (42.6% compared to 42.7%, a difference of 0.27%), and married-couple households (41.6% compared to 41.8%, a difference of 0.40%).

When considering vehicle availability, the most significant differences between Subsaharan African and Immigrants from Ghana communities in the United States are seen in no vehicles in household (12.2% compared to 16.6%, a difference of 36.0%), 3 or more vehicles in household (17.9% compared to 16.2%, a difference of 10.5%), and 4 or more vehicles in household (5.7% compared to 5.2%, a difference of 10.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.9% compared to 83.4%, a difference of 5.3%), 2 or more vehicles in household (51.9% compared to 47.4%, a difference of 9.6%), and 4 or more vehicles in household (5.7% compared to 5.2%, a difference of 10.3%).

When considering education level, the most significant differences between Subsaharan African and Immigrants from Ghana communities in the United States are seen in no schooling completed (2.3% compared to 2.6%, a difference of 13.2%), master's degree (14.2% compared to 15.0%, a difference of 5.2%), and bachelor's degree (35.8% compared to 36.9%, a difference of 3.2%). Conversely, both communities are more comparable in terms of doctorate degree (1.8% compared to 1.8%, a difference of 0.090%), college, under 1 year (63.2% compared to 63.1%, a difference of 0.21%), and nursery school (97.7% compared to 97.4%, a difference of 0.32%).

When considering disability, the most significant differences between Subsaharan African and Immigrants from Ghana communities in the United States are seen in hearing disability (2.9% compared to 2.6%, a difference of 12.1%), male disability (11.8% compared to 10.9%, a difference of 8.0%), and disability age under 5 (1.3% compared to 1.2%, a difference of 7.3%). Conversely, both communities are more comparable in terms of disability age over 75 (48.2% compared to 47.7%, a difference of 0.99%), cognitive disability (18.5% compared to 18.3%, a difference of 1.3%), and self-care disability (2.6% compared to 2.5%, a difference of 1.7%).