Subsaharan African vs Immigrants from Asia Community Comparison

The statistical analysis conducted on geographies consisting of 496,673,261 people shows a moderate negative correlation between the proportion of Immigrants from Asia within Subsaharan African communities in the United States with a correlation coefficient (R) of -0.469. On average, for every 1% (one percent) increase in Sub-Saharan Africans within a typical geography, there is a decrease of 0.107% in Immigrants from Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sub-Saharan Africans corresponds to a decrease of 106.9 Immigrants from Asia.

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

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

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

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

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

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

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

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