Immigrants from Ghana vs Immigrants from Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 197,175,530 people shows no correlation between the proportion of Immigrants from Eastern Asia within Immigrant from Ghana communities in the United States with a correlation coefficient (R) of -0.039. On average, for every 1% (one percent) increase in Immigrants from Ghana within a typical geography, there is a decrease of 0.024% in Immigrants from Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Ghana corresponds to a decrease of 23.9 Immigrants from Eastern Asia.

When considering income, the most significant differences between Immigrants from Ghana and Immigrants from Eastern Asia communities in the United States are seen in householder income ages 25 - 44 years ($87,760 compared to $118,056, a difference of 34.5%), per capita income ($41,131 compared to $53,806, a difference of 30.8%), and median family income ($96,544 compared to $125,150, a difference of 29.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,333 compared to $57,123, a difference of 11.3%), median female earnings ($39,894 compared to $46,502, a difference of 16.6%), and householder income over 65 years ($58,624 compared to $69,872, a difference of 19.2%).

When considering poverty, the most significant differences between Immigrants from Ghana and Immigrants from Eastern Asia communities in the United States are seen in receiving food stamps (14.1% compared to 9.3%, a difference of 51.5%), child poverty among boys under 16 (19.4% compared to 13.3%, a difference of 45.3%), and child poverty under the age of 5 (19.6% compared to 13.5%, a difference of 45.3%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.5% compared to 19.8%, a difference of 3.9%), single father poverty (16.7% compared to 15.0%, a difference of 11.8%), and seniors poverty over the age of 75 (14.4% compared to 12.8%, a difference of 12.4%).

When considering unemployment, the most significant differences between Immigrants from Ghana and Immigrants from Eastern Asia communities in the United States are seen in unemployment among women with children under 6 years (8.3% compared to 6.3%, a difference of 32.0%), unemployment among women with children under 18 years (6.2% compared to 4.9%, a difference of 26.1%), and unemployment among ages 35 to 44 years (5.4% compared to 4.4%, a difference of 23.8%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.1% compared to 5.0%, a difference of 2.2%), unemployment among ages 65 to 74 years (5.6% compared to 5.3%, a difference of 4.0%), and unemployment among seniors over 65 years (5.4% compared to 5.1%, a difference of 4.7%).

When considering labor participation, the most significant differences between Immigrants from Ghana and Immigrants from Eastern Asia communities in the United States are seen in in labor force | age 16-19 (35.4% compared to 32.0%, a difference of 10.5%), in labor force | age 20-24 (74.5% compared to 71.8%, a difference of 3.8%), and in labor force | age > 16 (67.1% compared to 65.7%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.7%, a difference of 0.030%), in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.10%), and in labor force | age 20-64 (80.0% compared to 79.9%, a difference of 0.16%).

When considering family structure, the most significant differences between Immigrants from Ghana and Immigrants from Eastern Asia communities in the United States are seen in single mother households (8.0% compared to 5.1%, a difference of 56.7%), births to unmarried women (34.5% compared to 25.0%, a difference of 37.8%), and single father households (2.4% compared to 1.9%, a difference of 29.0%). Conversely, both communities are more comparable in terms of average family size (3.29 compared to 3.22, a difference of 2.0%), family households (63.4% compared to 64.9%, a difference of 2.4%), and family households with children (28.6% compared to 27.7%, a difference of 3.3%).

When considering vehicle availability, the most significant differences between Immigrants from Ghana and Immigrants from Eastern Asia communities in the United States are seen in no vehicles in household (16.6% compared to 13.5%, a difference of 22.5%), 4 or more vehicles in household (5.2% compared to 6.2%, a difference of 20.1%), and 3 or more vehicles in household (16.2% compared to 18.8%, a difference of 16.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (83.4% compared to 86.5%, a difference of 3.7%), 2 or more vehicles in household (47.4% compared to 53.2%, a difference of 12.3%), and 3 or more vehicles in household (16.2% compared to 18.8%, a difference of 16.6%).

When considering education level, the most significant differences between Immigrants from Ghana and Immigrants from Eastern Asia communities in the United States are seen in doctorate degree (1.8% compared to 3.0%, a difference of 68.0%), professional degree (4.1% compared to 6.6%, a difference of 61.5%), and master's degree (15.0% compared to 20.8%, a difference of 39.0%). Conversely, both communities are more comparable in terms of nursery school (97.4% compared to 97.7%, a difference of 0.26%), 1st grade (97.4% compared to 97.6%, a difference of 0.26%), and 2nd grade (97.3% compared to 97.6%, a difference of 0.26%).

When considering disability, the most significant differences between Immigrants from Ghana and Immigrants from Eastern Asia communities in the United States are seen in disability age 35 to 64 (11.8% compared to 8.8%, a difference of 34.7%), disability age 5 to 17 (5.9% compared to 4.6%, a difference of 28.3%), and vision disability (2.2% compared to 1.8%, a difference of 22.6%). Conversely, both communities are more comparable in terms of disability age over 75 (47.7% compared to 46.2%, a difference of 3.4%), hearing disability (2.6% compared to 2.7%, a difference of 3.9%), and cognitive disability (18.3% compared to 16.8%, a difference of 8.9%).