Immigrants from Eastern Asia vs Subsaharan African Community Comparison

The statistical analysis conducted on geographies consisting of 466,067,350 people shows a strong negative correlation between the proportion of Sub-Saharan Africans within Immigrant from Eastern Asia communities in the United States with a correlation coefficient (R) of -0.745. On average, for every 1% (one percent) increase in Immigrants from Eastern Asia within a typical geography, there is a decrease of 0.038% in Sub-Saharan Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Asia corresponds to a decrease of 38.0 Sub-Saharan Africans.

When considering income, the most significant differences between Immigrants from Eastern Asia and Subsaharan African communities in the United States are seen in householder income ages 25 - 44 years ($118,056 compared to $84,235, a difference of 40.2%), median household income ($104,796 compared to $77,631, a difference of 35.0%), and householder income ages 45 - 64 years ($122,222 compared to $90,691, a difference of 34.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,123 compared to $48,691, a difference of 17.3%), wage/income gap (27.1% compared to 22.8%, a difference of 18.6%), and median female earnings ($46,502 compared to $38,391, a difference of 21.1%).

When considering poverty, the most significant differences between Immigrants from Eastern Asia and Subsaharan African communities in the United States are seen in child poverty under the age of 5 (13.5% compared to 20.8%, a difference of 53.6%), child poverty under the age of 16 (13.1% compared to 19.9%, a difference of 51.6%), and receiving food stamps (9.3% compared to 14.1%, a difference of 51.2%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.8% compared to 13.2%, a difference of 3.5%), seniors poverty over the age of 65 (11.1% compared to 12.1%, a difference of 9.2%), and female poverty among 18-24 year olds (19.8% compared to 22.0%, a difference of 11.4%).

When considering unemployment, the most significant differences between Immigrants from Eastern Asia and Subsaharan African communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 8.4%, a difference of 33.7%), unemployment among women with children ages 6 to 17 years (7.7% compared to 10.0%, a difference of 29.5%), and unemployment among women with children under 18 years (4.9% compared to 6.2%, a difference of 24.8%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.2%, a difference of 1.4%), unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 1.9%), and unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 2.2%).

When considering labor participation, the most significant differences between Immigrants from Eastern Asia and Subsaharan African communities in the United States are seen in in labor force | age 16-19 (32.0% compared to 38.4%, a difference of 20.0%), in labor force | age 20-24 (71.8% compared to 75.7%, a difference of 5.4%), and in labor force | age 45-54 (83.4% compared to 82.0%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.3%, a difference of 0.55%), in labor force | age 20-64 (79.9% compared to 79.3%, a difference of 0.76%), and in labor force | age 35-44 (84.7% compared to 84.1%, a difference of 0.77%).

When considering family structure, the most significant differences between Immigrants from Eastern Asia and Subsaharan African communities in the United States are seen in single mother households (5.1% compared to 7.8%, a difference of 53.1%), births to unmarried women (25.0% compared to 36.7%, a difference of 46.4%), and single father households (1.9% compared to 2.4%, a difference of 29.3%). Conversely, both communities are more comparable in terms of family households with children (27.7% compared to 27.6%, a difference of 0.42%), average family size (3.22 compared to 3.25, a difference of 0.85%), and family households (64.9% compared to 62.1%, a difference of 4.6%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Asia and Subsaharan African communities in the United States are seen in no vehicles in household (13.5% compared to 12.2%, a difference of 11.0%), 4 or more vehicles in household (6.2% compared to 5.7%, a difference of 8.9%), and 3 or more vehicles in household (18.8% compared to 17.9%, a difference of 5.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.5% compared to 87.9%, a difference of 1.5%), 2 or more vehicles in household (53.2% compared to 51.9%, a difference of 2.5%), and 3 or more vehicles in household (18.8% compared to 17.9%, a difference of 5.5%).

When considering education level, the most significant differences between Immigrants from Eastern Asia and Subsaharan African communities in the United States are seen in doctorate degree (3.0% compared to 1.8%, a difference of 67.9%), professional degree (6.6% compared to 4.1%, a difference of 60.2%), and master's degree (20.8% compared to 14.2%, a difference of 46.3%). Conversely, both communities are more comparable in terms of 6th grade (96.7% compared to 96.7%, a difference of 0.010%), 5th grade (97.0% compared to 97.0%, a difference of 0.020%), and 4th grade (97.2% compared to 97.2%, a difference of 0.030%).

When considering disability, the most significant differences between Immigrants from Eastern Asia and Subsaharan African communities in the United States are seen in disability age 35 to 64 (8.8% compared to 12.6%, a difference of 43.9%), disability age 5 to 17 (4.6% compared to 6.2%, a difference of 34.4%), and vision disability (1.8% compared to 2.3%, a difference of 28.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.2% compared to 48.2%, a difference of 4.4%), hearing disability (2.7% compared to 2.9%, a difference of 7.9%), and cognitive disability (16.8% compared to 18.5%, a difference of 10.2%).