African vs Chinese Community Comparison

The statistical analysis conducted on geographies consisting of 62,931,647 people shows a moderate positive correlation between the proportion of Chinese within African communities in the United States with a correlation coefficient (R) of 0.469. On average, for every 1% (one percent) increase in Africans within a typical geography, there is an increase of 0.034% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Africans corresponds to an increase of 33.6 Chinese.

When considering income, the most significant differences between African and Chinese communities in the United States are seen in householder income over 65 years ($53,711 compared to $77,465, a difference of 44.2%), householder income ages 45 - 64 years ($84,925 compared to $116,156, a difference of 36.8%), and median household income ($72,650 compared to $98,496, a difference of 35.6%). Conversely, both communities are more comparable in terms of wage/income gap (22.9% compared to 25.9%, a difference of 12.9%), median female earnings ($36,530 compared to $41,461, a difference of 13.5%), and median earnings ($41,955 compared to $48,836, a difference of 16.4%).

When considering poverty, the most significant differences between African and Chinese communities in the United States are seen in child poverty among boys under 16 (21.7% compared to 11.9%, a difference of 83.1%), child poverty under the age of 16 (21.7% compared to 11.9%, a difference of 82.0%), and family poverty (11.8% compared to 6.5%, a difference of 80.9%). Conversely, both communities are more comparable in terms of single father poverty (18.3% compared to 15.4%, a difference of 18.9%), single male poverty (14.7% compared to 11.0%, a difference of 34.1%), and single mother poverty (33.3% compared to 24.6%, a difference of 35.1%).

When considering unemployment, the most significant differences between African and Chinese communities in the United States are seen in unemployment among seniors over 75 years (9.1% compared to 5.9%, a difference of 53.8%), unemployment among women with children under 6 years (9.2% compared to 6.8%, a difference of 34.8%), and female unemployment (5.9% compared to 4.5%, a difference of 32.7%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (10.4% compared to 9.3%, a difference of 12.4%), unemployment among ages 55 to 59 years (5.1% compared to 4.4%, a difference of 16.7%), and unemployment among ages 16 to 19 years (19.5% compared to 16.0%, a difference of 21.4%).

When considering labor participation, the most significant differences between African and Chinese communities in the United States are seen in in labor force | age 45-54 (80.5% compared to 84.1%, a difference of 4.5%), in labor force | age 20-64 (77.9% compared to 80.7%, a difference of 3.5%), and in labor force | age 20-24 (75.0% compared to 77.3%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.6% compared to 64.7%, a difference of 0.070%), in labor force | age 25-29 (83.2% compared to 84.3%, a difference of 1.3%), and in labor force | age 16-19 (38.0% compared to 38.6%, a difference of 1.6%).

When considering family structure, the most significant differences between African and Chinese communities in the United States are seen in single mother households (8.2% compared to 5.2%, a difference of 58.4%), births to unmarried women (39.7% compared to 30.2%, a difference of 31.3%), and single father households (2.5% compared to 2.0%, a difference of 24.4%). Conversely, both communities are more comparable in terms of average family size (3.25 compared to 3.34, a difference of 2.7%), family households with children (27.2% compared to 26.0%, a difference of 4.4%), and family households (62.1% compared to 68.1%, a difference of 9.7%).

When considering vehicle availability, the most significant differences between African and Chinese communities in the United States are seen in 4 or more vehicles in household (5.8% compared to 8.8%, a difference of 51.5%), no vehicles in household (12.3% compared to 8.2%, a difference of 49.9%), and 3 or more vehicles in household (18.2% compared to 23.9%, a difference of 31.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.8% compared to 91.9%, a difference of 4.6%), 2 or more vehicles in household (51.8% compared to 60.1%, a difference of 16.0%), and 3 or more vehicles in household (18.2% compared to 23.9%, a difference of 31.3%).

When considering education level, the most significant differences between African and Chinese communities in the United States are seen in no schooling completed (2.2% compared to 1.5%, a difference of 48.0%), professional degree (3.7% compared to 4.5%, a difference of 21.5%), and associate's degree (41.1% compared to 48.5%, a difference of 18.0%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 98.6%, a difference of 0.72%), kindergarten (97.8% compared to 98.5%, a difference of 0.73%), and 1st grade (97.8% compared to 98.5%, a difference of 0.73%).

When considering disability, the most significant differences between African and Chinese communities in the United States are seen in disability age 5 to 17 (6.5% compared to 4.7%, a difference of 38.3%), disability age 35 to 64 (13.6% compared to 10.3%, a difference of 31.9%), and vision disability (2.5% compared to 2.0%, a difference of 24.1%). Conversely, both communities are more comparable in terms of disability age over 75 (48.9% compared to 48.7%, a difference of 0.28%), male disability (12.6% compared to 12.1%, a difference of 4.2%), and self-care disability (2.7% compared to 2.6%, a difference of 6.1%).