African vs Immigrants from Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 434,734,640 people shows a mild negative correlation between the proportion of Immigrants from Eastern Asia within African communities in the United States with a correlation coefficient (R) of -0.386. On average, for every 1% (one percent) increase in Africans within a typical geography, there is a decrease of 0.024% in Immigrants from Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Africans corresponds to a decrease of 23.8 Immigrants from Eastern Asia.

When considering income, the most significant differences between African and Immigrants from Eastern Asia communities in the United States are seen in householder income ages 25 - 44 years ($78,986 compared to $118,056, a difference of 49.5%), median household income ($72,650 compared to $104,796, a difference of 44.3%), and householder income ages 45 - 64 years ($84,925 compared to $122,222, a difference of 43.9%). Conversely, both communities are more comparable in terms of wage/income gap (22.9% compared to 27.1%, a difference of 18.0%), householder income under 25 years ($46,838 compared to $57,123, a difference of 22.0%), and median female earnings ($36,530 compared to $46,502, a difference of 27.3%).

When considering poverty, the most significant differences between African and Immigrants from Eastern Asia communities in the United States are seen in child poverty under the age of 5 (22.8% compared to 13.5%, a difference of 68.8%), child poverty under the age of 16 (21.7% compared to 13.1%, a difference of 65.3%), and child poverty among girls under 16 (21.9% compared to 13.4%, a difference of 64.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (13.6% compared to 12.8%, a difference of 6.5%), seniors poverty over the age of 65 (12.6% compared to 11.1%, a difference of 13.9%), and female poverty among 18-24 year olds (22.8% compared to 19.8%, a difference of 15.6%).

When considering unemployment, the most significant differences between African and Immigrants from Eastern Asia communities in the United States are seen in unemployment among women with children under 6 years (9.2% compared to 6.3%, a difference of 45.4%), unemployment among women with children ages 6 to 17 years (10.4% compared to 7.7%, a difference of 34.6%), and unemployment among women with children under 18 years (6.5% compared to 4.9%, a difference of 32.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 5.0%, a difference of 0.20%), unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 1.9%), and unemployment among ages 65 to 74 years (5.5% compared to 5.3%, a difference of 2.0%).

When considering labor participation, the most significant differences between African and Immigrants from Eastern Asia communities in the United States are seen in in labor force | age 16-19 (38.0% compared to 32.0%, a difference of 18.6%), in labor force | age 20-24 (75.0% compared to 71.8%, a difference of 4.4%), and in labor force | age 45-54 (80.5% compared to 83.4%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (64.6% compared to 65.7%, a difference of 1.6%), in labor force | age 25-29 (83.2% compared to 84.8%, a difference of 1.9%), and in labor force | age 35-44 (82.9% compared to 84.7%, a difference of 2.2%).

When considering family structure, the most significant differences between African and Immigrants from Eastern Asia communities in the United States are seen in single mother households (8.2% compared to 5.1%, a difference of 60.4%), births to unmarried women (39.7% compared to 25.0%, a difference of 58.6%), and single father households (2.5% compared to 1.9%, a difference of 29.9%). Conversely, both communities are more comparable in terms of average family size (3.25 compared to 3.22, a difference of 0.96%), family households with children (27.2% compared to 27.7%, a difference of 1.9%), and family households (62.1% compared to 64.9%, a difference of 4.5%).

When considering vehicle availability, the most significant differences between African and Immigrants from Eastern Asia communities in the United States are seen in no vehicles in household (12.3% compared to 13.5%, a difference of 10.0%), 4 or more vehicles in household (5.8% compared to 6.2%, a difference of 6.4%), and 3 or more vehicles in household (18.2% compared to 18.8%, a difference of 3.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.8% compared to 86.5%, a difference of 1.4%), 2 or more vehicles in household (51.8% compared to 53.2%, a difference of 2.7%), and 3 or more vehicles in household (18.2% compared to 18.8%, a difference of 3.6%).

When considering education level, the most significant differences between African and Immigrants from Eastern Asia communities in the United States are seen in doctorate degree (1.6% compared to 3.0%, a difference of 88.9%), professional degree (3.7% compared to 6.6%, a difference of 78.9%), and master's degree (12.9% compared to 20.8%, a difference of 61.7%). Conversely, both communities are more comparable in terms of 8th grade (95.4% compared to 95.4%, a difference of 0.090%), 5th grade (97.2% compared to 97.0%, a difference of 0.15%), and 6th grade (96.9% compared to 96.7%, a difference of 0.16%).

When considering disability, the most significant differences between African and Immigrants from Eastern Asia communities in the United States are seen in disability age 35 to 64 (13.6% compared to 8.8%, a difference of 54.6%), disability age 5 to 17 (6.5% compared to 4.6%, a difference of 41.7%), and vision disability (2.5% compared to 1.8%, a difference of 38.7%). Conversely, both communities are more comparable in terms of disability age over 75 (48.9% compared to 46.2%, a difference of 5.9%), cognitive disability (18.6% compared to 16.8%, a difference of 11.0%), and hearing disability (3.0% compared to 2.7%, a difference of 14.0%).