Subsaharan African vs Chinese Community Comparison

The statistical analysis conducted on geographies consisting of 63,983,450 people shows a weak positive correlation between the proportion of Chinese within Subsaharan African communities in the United States with a correlation coefficient (R) of 0.202. On average, for every 1% (one percent) increase in Sub-Saharan Africans within a typical geography, there is an increase of 0.007% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sub-Saharan Africans corresponds to an increase of 6.7 Chinese.

When considering income, the most significant differences between Subsaharan African and Chinese communities in the United States are seen in householder income over 65 years ($56,615 compared to $77,465, a difference of 36.8%), householder income ages 45 - 64 years ($90,691 compared to $116,156, a difference of 28.1%), and median household income ($77,631 compared to $98,496, a difference of 26.9%). Conversely, both communities are more comparable in terms of median female earnings ($38,391 compared to $41,461, a difference of 8.0%), median earnings ($44,118 compared to $48,836, a difference of 10.7%), and median male earnings ($50,408 compared to $56,872, a difference of 12.8%).

When considering poverty, the most significant differences between Subsaharan African and Chinese communities in the United States are seen in child poverty among boys under 16 (20.0% compared to 11.9%, a difference of 68.4%), child poverty under the age of 16 (19.9% compared to 11.9%, a difference of 66.9%), and family poverty (10.9% compared to 6.5%, a difference of 66.8%). Conversely, both communities are more comparable in terms of single father poverty (16.9% compared to 15.4%, a difference of 9.9%), single male poverty (13.7% compared to 11.0%, a difference of 24.7%), and single mother poverty (31.4% compared to 24.6%, a difference of 27.4%).

When considering unemployment, the most significant differences between Subsaharan African and Chinese communities in the United States are seen in unemployment among seniors over 75 years (9.2% compared to 5.9%, a difference of 55.3%), female unemployment (5.7% compared to 4.5%, a difference of 27.2%), and unemployment among women with children under 18 years (6.2% compared to 4.9%, a difference of 25.2%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (10.0% compared to 9.3%, a difference of 8.1%), unemployment among ages 55 to 59 years (5.0% compared to 4.4%, a difference of 12.8%), and unemployment among ages 16 to 19 years (18.7% compared to 16.0%, a difference of 16.7%).

When considering labor participation, the most significant differences between Subsaharan African and Chinese communities in the United States are seen in in labor force | age 45-54 (82.0% compared to 84.1%, a difference of 2.7%), in labor force | age > 16 (66.2% compared to 64.7%, a difference of 2.4%), and in labor force | age 20-24 (75.7% compared to 77.3%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.3% compared to 84.3%, a difference of 0.020%), in labor force | age 16-19 (38.4% compared to 38.6%, a difference of 0.43%), and in labor force | age 30-34 (84.5% compared to 85.0%, a difference of 0.64%).

When considering family structure, the most significant differences between Subsaharan African and Chinese communities in the United States are seen in single mother households (7.8% compared to 5.2%, a difference of 51.2%), single father households (2.4% compared to 2.0%, a difference of 23.8%), and births to unmarried women (36.7% compared to 30.2%, a difference of 21.2%). Conversely, both communities are more comparable in terms of average family size (3.25 compared to 3.34, a difference of 2.8%), family households with children (27.6% compared to 26.0%, a difference of 6.0%), and family households (62.1% compared to 68.1%, a difference of 9.8%).

When considering vehicle availability, the most significant differences between Subsaharan African and Chinese communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 8.8%, a difference of 55.0%), no vehicles in household (12.2% compared to 8.2%, a difference of 48.5%), and 3 or more vehicles in household (17.9% compared to 23.9%, a difference of 33.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.9% compared to 91.9%, a difference of 4.5%), 2 or more vehicles in household (51.9% compared to 60.1%, a difference of 15.8%), and 3 or more vehicles in household (17.9% compared to 23.9%, a difference of 33.7%).

When considering education level, the most significant differences between Subsaharan African and Chinese communities in the United States are seen in no schooling completed (2.3% compared to 1.5%, a difference of 56.3%), associate's degree (43.9% compared to 48.5%, a difference of 10.6%), and professional degree (4.1% compared to 4.5%, a difference of 8.9%). Conversely, both communities are more comparable in terms of doctorate degree (1.8% compared to 1.8%, a difference of 0.0%), nursery school (97.7% compared to 98.6%, a difference of 0.85%), and kindergarten (97.7% compared to 98.5%, a difference of 0.86%).

When considering disability, the most significant differences between Subsaharan African and Chinese communities in the United States are seen in disability age 5 to 17 (6.2% compared to 4.7%, a difference of 31.2%), hearing disability (2.9% compared to 3.7%, a difference of 27.7%), and disability age 35 to 64 (12.6% compared to 10.3%, a difference of 22.8%). Conversely, both communities are more comparable in terms of self-care disability (2.6% compared to 2.6%, a difference of 0.37%), disability (12.3% compared to 12.2%, a difference of 0.42%), and ambulatory disability (6.4% compared to 6.5%, a difference of 1.0%).