Immigrants from Africa vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 441,838,309 people shows a significant negative correlation between the proportion of Indians (Asian) within Immigrant from Africa communities in the United States with a correlation coefficient (R) of -0.678. On average, for every 1% (one percent) increase in Immigrants from Africa within a typical geography, there is a decrease of 0.083% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Africa corresponds to a decrease of 83.0 Indians (Asian).

When considering income, the most significant differences between Immigrants from Africa and Indian (Asian) communities in the United States are seen in householder income ages 25 - 44 years ($90,372 compared to $119,496, a difference of 32.2%), median household income ($83,289 compared to $105,262, a difference of 26.4%), and householder income ages 45 - 64 years ($97,284 compared to $122,343, a difference of 25.8%). Conversely, both communities are more comparable in terms of wage/income gap (23.2% compared to 26.4%, a difference of 14.1%), householder income under 25 years ($50,609 compared to $58,239, a difference of 15.1%), and median female earnings ($40,257 compared to $46,481, a difference of 15.5%).

When considering poverty, the most significant differences between Immigrants from Africa and Indian (Asian) communities in the United States are seen in child poverty under the age of 5 (18.6% compared to 13.4%, a difference of 38.2%), child poverty under the age of 16 (18.0% compared to 13.1%, a difference of 36.9%), and child poverty among boys under 16 (18.1% compared to 13.3%, a difference of 36.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.9% compared to 12.7%, a difference of 1.1%), seniors poverty over the age of 65 (11.6% compared to 11.1%, a difference of 4.4%), and single father poverty (15.8% compared to 14.8%, a difference of 6.6%).

When considering unemployment, the most significant differences between Immigrants from Africa and Indian (Asian) communities in the United States are seen in unemployment among women with children under 6 years (7.7% compared to 6.3%, a difference of 22.9%), unemployment among women with children ages 6 to 17 years (9.4% compared to 7.7%, a difference of 21.4%), and unemployment among women with children under 18 years (5.8% compared to 4.9%, a difference of 17.6%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.2% compared to 5.2%, a difference of 0.58%), unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 1.1%), and unemployment among ages 45 to 54 years (4.6% compared to 4.5%, a difference of 3.1%).

When considering labor participation, the most significant differences between Immigrants from Africa and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (38.0% compared to 31.9%, a difference of 19.4%), in labor force | age 20-24 (75.8% compared to 71.9%, a difference of 5.5%), and in labor force | age > 16 (67.4% compared to 65.5%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.3% compared to 85.4%, a difference of 0.060%), in labor force | age 45-54 (83.2% compared to 83.3%, a difference of 0.12%), and in labor force | age 35-44 (84.9% compared to 84.8%, a difference of 0.14%).

When considering family structure, the most significant differences between Immigrants from Africa and Indian (Asian) communities in the United States are seen in single mother households (7.3% compared to 5.1%, a difference of 42.6%), births to unmarried women (33.0% compared to 25.3%, a difference of 30.7%), and single father households (2.4% compared to 1.9%, a difference of 24.6%). Conversely, both communities are more comparable in terms of average family size (3.25 compared to 3.24, a difference of 0.10%), family households with children (28.0% compared to 27.6%, a difference of 1.4%), and family households (62.4% compared to 65.1%, a difference of 4.4%).

When considering vehicle availability, the most significant differences between Immigrants from Africa and Indian (Asian) communities in the United States are seen in 4 or more vehicles in household (5.6% compared to 6.4%, a difference of 15.3%), no vehicles in household (12.5% compared to 14.1%, a difference of 12.3%), and 3 or more vehicles in household (17.6% compared to 19.1%, a difference of 8.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.6% compared to 86.0%, a difference of 1.8%), 2 or more vehicles in household (51.8% compared to 53.1%, a difference of 2.5%), and 3 or more vehicles in household (17.6% compared to 19.1%, a difference of 8.9%).

When considering education level, the most significant differences between Immigrants from Africa and Indian (Asian) communities in the United States are seen in doctorate degree (2.0% compared to 2.9%, a difference of 48.0%), professional degree (4.6% compared to 6.5%, a difference of 43.0%), and master's degree (15.7% compared to 20.5%, a difference of 30.2%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.6%, a difference of 0.020%), kindergarten (97.6% compared to 97.6%, a difference of 0.020%), and 2nd grade (97.5% compared to 97.5%, a difference of 0.020%).

When considering disability, the most significant differences between Immigrants from Africa and Indian (Asian) communities in the United States are seen in disability age 35 to 64 (11.5% compared to 8.9%, a difference of 29.6%), disability age 5 to 17 (5.7% compared to 4.6%, a difference of 25.8%), and disability age under 5 (1.2% compared to 1.0%, a difference of 22.0%). Conversely, both communities are more comparable in terms of hearing disability (2.7% compared to 2.7%, a difference of 0.62%), disability age over 75 (47.3% compared to 46.5%, a difference of 1.7%), and self-care disability (2.4% compared to 2.3%, a difference of 2.0%).