Immigrants from Ghana vs Immigrants from Congo Community Comparison

The statistical analysis conducted on geographies consisting of 73,665,759 people shows a poor positive correlation between the proportion of Immigrants from Congo within Immigrant from Ghana communities in the United States with a correlation coefficient (R) of 0.106. On average, for every 1% (one percent) increase in Immigrants from Ghana within a typical geography, there is an increase of 0.007% in Immigrants from Congo. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Ghana corresponds to an increase of 7.3 Immigrants from Congo.

When considering income, the most significant differences between Immigrants from Ghana and Immigrants from Congo communities in the United States are seen in median household income ($81,489 compared to $66,768, a difference of 22.1%), householder income ages 45 - 64 years ($94,982 compared to $77,850, a difference of 22.0%), and householder income ages 25 - 44 years ($87,760 compared to $72,178, a difference of 21.6%). Conversely, both communities are more comparable in terms of wage/income gap (22.3% compared to 21.7%, a difference of 2.9%), householder income over 65 years ($58,624 compared to $51,393, a difference of 14.1%), and per capita income ($41,131 compared to $35,720, a difference of 15.1%).

When considering poverty, the most significant differences between Immigrants from Ghana and Immigrants from Congo communities in the United States are seen in child poverty under the age of 5 (19.6% compared to 23.9%, a difference of 21.6%), child poverty among girls under 16 (18.9% compared to 22.7%, a difference of 20.1%), and female poverty among 18-24 year olds (20.5% compared to 24.6%, a difference of 19.6%). Conversely, both communities are more comparable in terms of receiving food stamps (14.1% compared to 14.1%, a difference of 0.23%), married-couple family poverty (5.9% compared to 6.1%, a difference of 3.7%), and single male poverty (13.4% compared to 13.9%, a difference of 3.7%).

When considering unemployment, the most significant differences between Immigrants from Ghana and Immigrants from Congo communities in the United States are seen in unemployment among seniors over 75 years (9.2% compared to 6.7%, a difference of 37.0%), unemployment among ages 20 to 24 years (11.9% compared to 9.2%, a difference of 29.5%), and unemployment among ages 60 to 64 years (5.1% compared to 4.1%, a difference of 23.5%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (8.3% compared to 8.5%, a difference of 1.8%), unemployment among women with children under 18 years (6.2% compared to 6.0%, a difference of 4.4%), and unemployment among women with children ages 6 to 17 years (9.5% compared to 9.0%, a difference of 5.3%).

When considering labor participation, the most significant differences between Immigrants from Ghana and Immigrants from Congo communities in the United States are seen in in labor force | age 16-19 (35.4% compared to 41.7%, a difference of 17.8%), in labor force | age 20-24 (74.5% compared to 77.4%, a difference of 3.8%), and in labor force | age 45-54 (82.9% compared to 81.6%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (67.1% compared to 67.1%, a difference of 0.020%), in labor force | age 25-29 (84.7% compared to 84.2%, a difference of 0.59%), and in labor force | age 30-34 (85.2% compared to 84.6%, a difference of 0.74%).

When considering family structure, the most significant differences between Immigrants from Ghana and Immigrants from Congo communities in the United States are seen in divorced or separated (12.2% compared to 13.5%, a difference of 10.2%), family households (63.4% compared to 59.2%, a difference of 7.0%), and married-couple households (41.8% compared to 39.0%, a difference of 7.0%). Conversely, both communities are more comparable in terms of single mother households (8.0% compared to 8.1%, a difference of 1.6%), average family size (3.29 compared to 3.23, a difference of 1.8%), and single father households (2.4% compared to 2.5%, a difference of 3.7%).

When considering vehicle availability, the most significant differences between Immigrants from Ghana and Immigrants from Congo communities in the United States are seen in no vehicles in household (16.6% compared to 10.1%, a difference of 65.1%), 2 or more vehicles in household (47.4% compared to 52.1%, a difference of 10.0%), and 1 or more vehicles in household (83.4% compared to 90.0%, a difference of 7.9%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (5.2% compared to 5.2%, a difference of 1.4%), 3 or more vehicles in household (16.2% compared to 17.0%, a difference of 5.0%), and 1 or more vehicles in household (83.4% compared to 90.0%, a difference of 7.9%).

When considering education level, the most significant differences between Immigrants from Ghana and Immigrants from Congo communities in the United States are seen in master's degree (15.0% compared to 12.6%, a difference of 18.6%), professional degree (4.1% compared to 3.6%, a difference of 11.6%), and doctorate degree (1.8% compared to 1.6%, a difference of 10.6%). Conversely, both communities are more comparable in terms of 9th grade (93.8% compared to 93.9%, a difference of 0.11%), 7th grade (95.2% compared to 95.3%, a difference of 0.12%), and 10th grade (92.5% compared to 92.4%, a difference of 0.12%).

When considering disability, the most significant differences between Immigrants from Ghana and Immigrants from Congo communities in the United States are seen in disability age under 5 (1.2% compared to 1.1%, a difference of 13.9%), hearing disability (2.6% compared to 2.9%, a difference of 13.0%), and disability age 35 to 64 (11.8% compared to 13.3%, a difference of 12.5%). Conversely, both communities are more comparable in terms of ambulatory disability (6.1% compared to 6.2%, a difference of 1.5%), disability age over 75 (47.7% compared to 48.7%, a difference of 2.1%), and vision disability (2.2% compared to 2.3%, a difference of 2.9%).