Immigrants from Ghana vs Immigrants from Asia Community Comparison

The statistical analysis conducted on geographies consisting of 199,674,350 people shows a poor positive correlation between the proportion of Immigrants from Asia within Immigrant from Ghana communities in the United States with a correlation coefficient (R) of 0.126. On average, for every 1% (one percent) increase in Immigrants from Ghana within a typical geography, there is an increase of 0.240% in Immigrants from Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Ghana corresponds to an increase of 240.3 Immigrants from Asia.

When considering income, the most significant differences between Immigrants from Ghana and Immigrants from Asia communities in the United States are seen in householder income ages 25 - 44 years ($87,760 compared to $110,787, a difference of 26.2%), householder income ages 45 - 64 years ($94,982 compared to $116,566, a difference of 22.7%), and median household income ($81,489 compared to $99,933, a difference of 22.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,333 compared to $56,379, a difference of 9.8%), median female earnings ($39,894 compared to $44,198, a difference of 10.8%), and householder income over 65 years ($58,624 compared to $67,594, a difference of 15.3%).

When considering poverty, the most significant differences between Immigrants from Ghana and Immigrants from Asia communities in the United States are seen in receiving food stamps (14.1% compared to 9.9%, a difference of 42.6%), child poverty among boys under 16 (19.4% compared to 13.9%, a difference of 39.2%), and child poverty under the age of 16 (19.1% compared to 13.8%, a difference of 37.7%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.5% compared to 18.6%, a difference of 10.7%), single father poverty (16.7% compared to 14.7%, a difference of 13.5%), and single mother poverty (29.9% compared to 26.3%, a difference of 13.6%).

When considering unemployment, the most significant differences between Immigrants from Ghana and Immigrants from Asia communities in the United States are seen in unemployment among women with children under 6 years (8.3% compared to 6.8%, a difference of 22.7%), unemployment among ages 35 to 44 years (5.4% compared to 4.4%, a difference of 22.2%), and unemployment among women with children under 18 years (6.2% compared to 5.1%, a difference of 21.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.1% compared to 4.9%, a difference of 3.9%), unemployment among ages 65 to 74 years (5.6% compared to 5.3%, a difference of 4.7%), and unemployment among seniors over 65 years (5.4% compared to 5.1%, a difference of 5.4%).

When considering labor participation, the most significant differences between Immigrants from Ghana and Immigrants from Asia communities in the United States are seen in in labor force | age 16-19 (35.4% compared to 34.1%, a difference of 3.7%), in labor force | age > 16 (67.1% compared to 66.1%, a difference of 1.5%), and in labor force | age 20-24 (74.5% compared to 73.6%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.0% compared to 80.1%, a difference of 0.050%), in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.060%), and in labor force | age 35-44 (84.7% compared to 84.5%, a difference of 0.15%).

When considering family structure, the most significant differences between Immigrants from Ghana and Immigrants from Asia communities in the United States are seen in single mother households (8.0% compared to 5.6%, a difference of 42.5%), births to unmarried women (34.5% compared to 26.8%, a difference of 28.8%), and married-couple households (41.8% compared to 49.1%, a difference of 17.4%). Conversely, both communities are more comparable in terms of average family size (3.29 compared to 3.27, a difference of 0.54%), family households with children (28.6% compared to 28.8%, a difference of 0.92%), and family households (63.4% compared to 66.1%, a difference of 4.2%).

When considering vehicle availability, the most significant differences between Immigrants from Ghana and Immigrants from Asia communities in the United States are seen in no vehicles in household (16.6% compared to 10.9%, a difference of 52.8%), 4 or more vehicles in household (5.2% compared to 6.8%, a difference of 30.9%), and 3 or more vehicles in household (16.2% compared to 20.2%, a difference of 25.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (83.4% compared to 89.3%, a difference of 7.0%), 2 or more vehicles in household (47.4% compared to 56.3%, a difference of 18.9%), and 3 or more vehicles in household (16.2% compared to 20.2%, a difference of 25.3%).

When considering education level, the most significant differences between Immigrants from Ghana and Immigrants from Asia communities in the United States are seen in doctorate degree (1.8% compared to 2.4%, a difference of 37.6%), professional degree (4.1% compared to 5.5%, a difference of 35.4%), and master's degree (15.0% compared to 18.4%, a difference of 22.9%). Conversely, both communities are more comparable in terms of 1st grade (97.4% compared to 97.5%, a difference of 0.19%), nursery school (97.4% compared to 97.6%, a difference of 0.20%), and kindergarten (97.4% compared to 97.6%, a difference of 0.20%).

When considering disability, the most significant differences between Immigrants from Ghana and Immigrants from Asia communities in the United States are seen in disability age 35 to 64 (11.8% compared to 9.5%, a difference of 24.8%), disability age 5 to 17 (5.9% compared to 4.8%, a difference of 21.2%), and vision disability (2.2% compared to 1.9%, a difference of 17.1%). Conversely, both communities are more comparable in terms of disability age over 75 (47.7% compared to 47.0%, a difference of 1.5%), self-care disability (2.5% compared to 2.4%, a difference of 6.4%), and hearing disability (2.6% compared to 2.7%, a difference of 6.8%).