Indian (Asian) vs Subsaharan African Community Comparison

The statistical analysis conducted on geographies consisting of 463,473,946 people shows a strong negative correlation between the proportion of Sub-Saharan Africans within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.701. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.030% in Sub-Saharan Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 29.7 Sub-Saharan Africans.

When considering income, the most significant differences between Indian (Asian) and Subsaharan African communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $84,235, a difference of 41.9%), median household income ($105,262 compared to $77,631, a difference of 35.6%), and householder income ages 45 - 64 years ($122,343 compared to $90,691, a difference of 34.9%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 22.8%, a difference of 15.9%), householder income under 25 years ($58,239 compared to $48,691, a difference of 19.6%), and median female earnings ($46,481 compared to $38,391, a difference of 21.1%).

When considering poverty, the most significant differences between Indian (Asian) and Subsaharan African communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 20.8%, a difference of 54.3%), child poverty under the age of 16 (13.1% compared to 19.9%, a difference of 51.4%), and child poverty among girls under 16 (13.3% compared to 20.1%, a difference of 50.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.7% compared to 13.2%, a difference of 3.8%), seniors poverty over the age of 65 (11.1% compared to 12.1%, a difference of 8.9%), and female poverty among 18-24 year olds (19.6% compared to 22.0%, a difference of 12.3%).

When considering unemployment, the most significant differences between Indian (Asian) and Subsaharan African communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 8.4%, a difference of 33.8%), unemployment among women with children ages 6 to 17 years (7.7% compared to 10.0%, a difference of 29.5%), and unemployment among women with children under 18 years (4.9% compared to 6.2%, a difference of 25.6%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.9% compared to 5.0%, a difference of 0.56%), unemployment among seniors over 65 years (5.2% compared to 5.2%, a difference of 1.1%), and unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 1.8%).

When considering labor participation, the most significant differences between Indian (Asian) and Subsaharan African communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 38.4%, a difference of 20.6%), in labor force | age 20-24 (71.9% compared to 75.7%, a difference of 5.3%), and in labor force | age 45-54 (83.3% compared to 82.0%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.3%, a difference of 0.46%), in labor force | age 20-64 (79.9% compared to 79.3%, a difference of 0.72%), and in labor force | age 35-44 (84.8% compared to 84.1%, a difference of 0.89%).

When considering family structure, the most significant differences between Indian (Asian) and Subsaharan African communities in the United States are seen in single mother households (5.1% compared to 7.8%, a difference of 52.9%), births to unmarried women (25.3% compared to 36.7%, a difference of 45.1%), and single father households (1.9% compared to 2.4%, a difference of 28.1%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.6%, a difference of 0.11%), average family size (3.24 compared to 3.25, a difference of 0.21%), and family households (65.1% compared to 62.1%, a difference of 5.0%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Subsaharan African communities in the United States are seen in no vehicles in household (14.1% compared to 12.2%, a difference of 15.2%), 4 or more vehicles in household (6.4% compared to 5.7%, a difference of 12.7%), and 3 or more vehicles in household (19.1% compared to 17.9%, a difference of 7.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 87.9%, a difference of 2.1%), 2 or more vehicles in household (53.1% compared to 51.9%, a difference of 2.3%), and 3 or more vehicles in household (19.1% compared to 17.9%, a difference of 7.0%).

When considering education level, the most significant differences between Indian (Asian) and Subsaharan African communities in the United States are seen in doctorate degree (2.9% compared to 1.8%, a difference of 64.9%), professional degree (6.5% compared to 4.1%, a difference of 59.1%), and master's degree (20.5% compared to 14.2%, a difference of 43.6%). Conversely, both communities are more comparable in terms of 4th grade (97.2% compared to 97.2%, a difference of 0.060%), 5th grade (96.9% compared to 97.0%, a difference of 0.060%), and 3rd grade (97.4% compared to 97.5%, a difference of 0.080%).

When considering disability, the most significant differences between Indian (Asian) and Subsaharan African communities in the United States are seen in disability age 35 to 64 (8.9% compared to 12.6%, a difference of 42.8%), disability age 5 to 17 (4.6% compared to 6.2%, a difference of 34.9%), and disability age under 5 (1.0% compared to 1.3%, a difference of 30.5%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 48.2%, a difference of 3.6%), hearing disability (2.7% compared to 2.9%, a difference of 6.5%), and self-care disability (2.3% compared to 2.6%, a difference of 9.4%).