Immigrants from Eastern Asia vs Ghanaian Community Comparison

The statistical analysis conducted on geographies consisting of 188,609,176 people shows a poor negative correlation between the proportion of Ghanaians within Immigrant from Eastern Asia communities in the United States with a correlation coefficient (R) of -0.159. On average, for every 1% (one percent) increase in Immigrants from Eastern Asia within a typical geography, there is a decrease of 0.002% in Ghanaians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Asia corresponds to a decrease of 2.5 Ghanaians.

When considering income, the most significant differences between Immigrants from Eastern Asia and Ghanaian communities in the United States are seen in householder income ages 25 - 44 years ($118,056 compared to $90,137, a difference of 31.0%), per capita income ($53,806 compared to $42,164, a difference of 27.6%), and median male earnings ($66,903 compared to $52,810, a difference of 26.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,123 compared to $52,594, a difference of 8.6%), median female earnings ($46,502 compared to $40,429, a difference of 15.0%), and householder income over 65 years ($69,872 compared to $60,043, a difference of 16.4%).

When considering poverty, the most significant differences between Immigrants from Eastern Asia and Ghanaian communities in the United States are seen in receiving food stamps (9.3% compared to 14.0%, a difference of 49.7%), child poverty under the age of 5 (13.5% compared to 19.2%, a difference of 42.0%), and child poverty among boys under 16 (13.3% compared to 18.9%, a difference of 41.4%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.8% compared to 20.8%, a difference of 5.0%), seniors poverty over the age of 75 (12.8% compared to 14.0%, a difference of 9.2%), and single father poverty (15.0% compared to 16.7%, a difference of 11.4%).

When considering unemployment, the most significant differences between Immigrants from Eastern Asia and Ghanaian communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 8.2%, a difference of 30.6%), unemployment among women with children under 18 years (4.9% compared to 6.2%, a difference of 24.9%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 9.6%, a difference of 23.9%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 5.0%, a difference of 0.59%), unemployment among ages 65 to 74 years (5.3% compared to 5.6%, a difference of 4.0%), and unemployment among seniors over 65 years (5.1% compared to 5.4%, a difference of 4.2%).

When considering labor participation, the most significant differences between Immigrants from Eastern Asia and Ghanaian communities in the United States are seen in in labor force | age 16-19 (32.0% compared to 35.3%, a difference of 10.4%), in labor force | age 20-24 (71.8% compared to 74.3%, a difference of 3.5%), and in labor force | age > 16 (65.7% compared to 67.1%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.4%, a difference of 0.090%), in labor force | age 25-29 (84.8% compared to 84.7%, a difference of 0.12%), and in labor force | age 35-44 (84.7% compared to 84.8%, a difference of 0.17%).

When considering family structure, the most significant differences between Immigrants from Eastern Asia and Ghanaian communities in the United States are seen in single mother households (5.1% compared to 7.8%, a difference of 53.9%), births to unmarried women (25.0% compared to 34.3%, a difference of 36.8%), and single father households (1.9% compared to 2.4%, a difference of 28.1%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.29, a difference of 1.9%), family households (64.9% compared to 63.5%, a difference of 2.3%), and family households with children (27.7% compared to 28.5%, a difference of 3.1%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Asia and Ghanaian communities in the United States are seen in no vehicles in household (13.5% compared to 16.4%, a difference of 21.4%), 4 or more vehicles in household (6.2% compared to 5.2%, a difference of 18.4%), and 3 or more vehicles in household (18.8% compared to 16.4%, a difference of 15.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.5% compared to 83.6%, a difference of 3.5%), 2 or more vehicles in household (53.2% compared to 48.0%, a difference of 11.0%), and 3 or more vehicles in household (18.8% compared to 16.4%, a difference of 15.1%).

When considering education level, the most significant differences between Immigrants from Eastern Asia and Ghanaian communities in the United States are seen in doctorate degree (3.0% compared to 1.8%, a difference of 61.6%), professional degree (6.6% compared to 4.3%, a difference of 54.5%), and master's degree (20.8% compared to 15.5%, a difference of 34.1%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 97.5%, a difference of 0.20%), 1st grade (97.6% compared to 97.4%, a difference of 0.20%), and kindergarten (97.6% compared to 97.4%, a difference of 0.21%).

When considering disability, the most significant differences between Immigrants from Eastern Asia and Ghanaian communities in the United States are seen in disability age 35 to 64 (8.8% compared to 11.7%, a difference of 32.8%), disability age 5 to 17 (4.6% compared to 5.8%, a difference of 26.8%), and vision disability (1.8% compared to 2.2%, a difference of 20.7%). Conversely, both communities are more comparable in terms of disability age over 75 (46.2% compared to 47.5%, a difference of 3.0%), hearing disability (2.7% compared to 2.5%, a difference of 4.8%), and self-care disability (2.3% compared to 2.5%, a difference of 7.5%).