African vs Immigrants from South Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 442,659,254 people shows a significant negative correlation between the proportion of Immigrants from South Eastern Asia within African communities in the United States with a correlation coefficient (R) of -0.664. On average, for every 1% (one percent) increase in Africans within a typical geography, there is a decrease of 0.037% in Immigrants from South Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Africans corresponds to a decrease of 36.7 Immigrants from South Eastern Asia.

When considering income, the most significant differences between African and Immigrants from South Eastern Asia communities in the United States are seen in householder income ages 25 - 44 years ($78,986 compared to $100,283, a difference of 27.0%), median household income ($72,650 compared to $91,541, a difference of 26.0%), and householder income ages 45 - 64 years ($84,925 compared to $106,109, a difference of 24.9%). Conversely, both communities are more comparable in terms of wage/income gap (22.9% compared to 24.8%, a difference of 8.1%), median female earnings ($36,530 compared to $40,558, a difference of 11.0%), and median earnings ($41,955 compared to $47,671, a difference of 13.6%).

When considering poverty, the most significant differences between African and Immigrants from South Eastern Asia communities in the United States are seen in child poverty under the age of 5 (22.8% compared to 15.7%, a difference of 45.6%), child poverty under the age of 16 (21.7% compared to 15.2%, a difference of 42.9%), and child poverty among boys under 16 (21.7% compared to 15.2%, a difference of 42.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (13.6% compared to 12.2%, a difference of 11.2%), seniors poverty over the age of 65 (12.6% compared to 10.8%, a difference of 16.4%), and married-couple family poverty (6.0% compared to 5.1%, a difference of 17.3%).

When considering unemployment, the most significant differences between African and Immigrants from South Eastern Asia communities in the United States are seen in unemployment among women with children under 6 years (9.2% compared to 7.2%, a difference of 27.6%), unemployment among women with children ages 6 to 17 years (10.4% compared to 8.2%, a difference of 26.3%), and unemployment among women with children under 18 years (6.5% compared to 5.4%, a difference of 22.0%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 0.76%), 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 (5.5% compared to 5.3%, a difference of 3.2%).

When considering labor participation, the most significant differences between African and Immigrants from South Eastern Asia communities in the United States are seen in in labor force | age 16-19 (38.0% compared to 35.6%, a difference of 6.7%), in labor force | age 45-54 (80.5% compared to 82.8%, a difference of 2.9%), and in labor force | age 20-64 (77.9% compared to 79.8%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (75.0% compared to 75.1%, a difference of 0.22%), in labor force | age 25-29 (83.2% compared to 84.4%, a difference of 1.4%), and in labor force | age 35-44 (82.9% compared to 84.2%, a difference of 1.6%).

When considering family structure, the most significant differences between African and Immigrants from South Eastern Asia communities in the United States are seen in births to unmarried women (39.7% compared to 30.4%, a difference of 30.8%), single mother households (8.2% compared to 6.3%, a difference of 29.9%), and married-couple households (40.9% compared to 48.4%, a difference of 18.3%). Conversely, both communities are more comparable in terms of single father households (2.5% compared to 2.4%, a difference of 1.8%), average family size (3.25 compared to 3.36, a difference of 3.2%), and family households with children (27.2% compared to 29.1%, a difference of 7.2%).

When considering vehicle availability, the most significant differences between African and Immigrants from South Eastern Asia communities in the United States are seen in no vehicles in household (12.3% compared to 8.6%, a difference of 43.3%), 4 or more vehicles in household (5.8% compared to 8.2%, a difference of 40.8%), and 3 or more vehicles in household (18.2% compared to 23.1%, a difference of 27.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.8% compared to 91.4%, a difference of 4.2%), 2 or more vehicles in household (51.8% compared to 59.6%, a difference of 15.0%), and 3 or more vehicles in household (18.2% compared to 23.1%, a difference of 27.1%).

When considering education level, the most significant differences between African and Immigrants from South Eastern Asia communities in the United States are seen in no schooling completed (2.2% compared to 2.9%, a difference of 32.8%), bachelor's degree (32.9% compared to 36.8%, a difference of 12.0%), and professional degree (3.7% compared to 4.0%, a difference of 9.9%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (89.6% compared to 89.6%, a difference of 0.040%), high school diploma (87.5% compared to 87.2%, a difference of 0.28%), and 11th grade (91.5% compared to 90.9%, a difference of 0.66%).

When considering disability, the most significant differences between African and Immigrants from South Eastern Asia communities in the United States are seen in disability age 35 to 64 (13.6% compared to 10.6%, a difference of 28.5%), disability age 5 to 17 (6.5% compared to 5.2%, a difference of 25.4%), and vision disability (2.5% compared to 2.1%, a difference of 20.7%). Conversely, both communities are more comparable in terms of disability age over 75 (48.9% compared to 48.7%, a difference of 0.39%), hearing disability (3.0% compared to 3.0%, a difference of 2.9%), and self-care disability (2.7% compared to 2.5%, a difference of 8.1%).