Subsaharan African vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 463,473,899 people shows a moderate negative correlation between the proportion of Indians (Asian) within Subsaharan African communities in the United States with a correlation coefficient (R) of -0.475. On average, for every 1% (one percent) increase in Sub-Saharan Africans within a typical geography, there is a decrease of 0.032% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sub-Saharan Africans corresponds to a decrease of 31.9 Indians (Asian).

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

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

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

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

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

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

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

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