Immigrants from Asia vs Subsaharan African Community Comparison

The statistical analysis conducted on geographies consisting of 496,714,641 people shows a significant negative correlation between the proportion of Sub-Saharan Africans within Immigrant from Asia communities in the United States with a correlation coefficient (R) of -0.681. On average, for every 1% (one percent) increase in Immigrants from Asia within a typical geography, there is a decrease of 0.029% in Sub-Saharan Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Asia corresponds to a decrease of 29.0 Sub-Saharan Africans.

When considering income, the most significant differences between Immigrants from Asia and Subsaharan African communities in the United States are seen in householder income ages 25 - 44 years ($110,787 compared to $84,235, a difference of 31.5%), median household income ($99,933 compared to $77,631, a difference of 28.7%), and householder income ages 45 - 64 years ($116,566 compared to $90,691, a difference of 28.5%). Conversely, both communities are more comparable in terms of median female earnings ($44,198 compared to $38,391, a difference of 15.1%), householder income under 25 years ($56,379 compared to $48,691, a difference of 15.8%), and wage/income gap (27.0% compared to 22.8%, a difference of 18.2%).

When considering poverty, the most significant differences between Immigrants from Asia and Subsaharan African communities in the United States are seen in child poverty under the age of 5 (14.4% compared to 20.8%, a difference of 44.3%), child poverty under the age of 16 (13.8% compared to 19.9%, a difference of 43.8%), and child poverty among boys under 16 (13.9% compared to 20.0%, a difference of 43.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.2% compared to 13.2%, a difference of 8.3%), seniors poverty over the age of 65 (10.6% compared to 12.1%, a difference of 14.1%), and single father poverty (14.7% compared to 16.9%, a difference of 14.9%).

When considering unemployment, the most significant differences between Immigrants from Asia and Subsaharan African communities in the United States are seen in unemployment among women with children under 6 years (6.8% compared to 8.4%, a difference of 24.3%), unemployment among women with children ages 6 to 17 years (8.1% compared to 10.0%, a difference of 23.8%), and unemployment among women with children under 18 years (5.1% compared to 6.2%, a difference of 20.0%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.53%), unemployment among seniors over 65 years (5.1% compared to 5.2%, a difference of 2.2%), and unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 2.6%).

When considering labor participation, the most significant differences between Immigrants from Asia and Subsaharan African communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 38.4%, a difference of 12.7%), in labor force | age 20-24 (73.6% compared to 75.7%, a difference of 2.8%), and in labor force | age 45-54 (83.3% compared to 82.0%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.1% compared to 66.2%, a difference of 0.11%), in labor force | age 25-29 (84.8% compared to 84.3%, a difference of 0.51%), and in labor force | age 35-44 (84.5% compared to 84.1%, a difference of 0.58%).

When considering family structure, the most significant differences between Immigrants from Asia and Subsaharan African communities in the United States are seen in single mother households (5.6% compared to 7.8%, a difference of 39.3%), births to unmarried women (26.8% compared to 36.7%, a difference of 36.8%), and divorced or separated (10.7% compared to 12.7%, a difference of 18.7%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.25, a difference of 0.57%), family households with children (28.8% compared to 27.6%, a difference of 4.6%), and family households (66.1% compared to 62.1%, a difference of 6.5%).

When considering vehicle availability, the most significant differences between Immigrants from Asia and Subsaharan African communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 5.7%, a difference of 18.7%), 3 or more vehicles in household (20.2% compared to 17.9%, a difference of 13.3%), and no vehicles in household (10.9% compared to 12.2%, a difference of 12.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 87.9%, a difference of 1.6%), 2 or more vehicles in household (56.3% compared to 51.9%, a difference of 8.6%), and no vehicles in household (10.9% compared to 12.2%, a difference of 12.3%).

When considering education level, the most significant differences between Immigrants from Asia and Subsaharan African communities in the United States are seen in doctorate degree (2.4% compared to 1.8%, a difference of 37.5%), professional degree (5.5% compared to 4.1%, a difference of 34.3%), and master's degree (18.4% compared to 14.2%, a difference of 29.3%). Conversely, both communities are more comparable in terms of 5th grade (96.9% compared to 97.0%, a difference of 0.070%), 9th grade (94.4% compared to 94.4%, a difference of 0.070%), and 6th grade (96.6% compared to 96.7%, a difference of 0.080%).

When considering disability, the most significant differences between Immigrants from Asia and Subsaharan African communities in the United States are seen in disability age 35 to 64 (9.5% compared to 12.6%, a difference of 33.4%), disability age 5 to 17 (4.8% compared to 6.2%, a difference of 27.0%), and disability age under 5 (1.1% compared to 1.3%, a difference of 23.1%). Conversely, both communities are more comparable in terms of disability age over 75 (47.0% compared to 48.2%, a difference of 2.5%), hearing disability (2.7% compared to 2.9%, a difference of 5.0%), and self-care disability (2.4% compared to 2.6%, a difference of 8.2%).