Indian (Asian) vs Immigrants from Western Africa Community Comparison

The statistical analysis conducted on geographies consisting of 345,473,438 people shows a substantial negative correlation between the proportion of Immigrants from Western Africa within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.588. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.010% in Immigrants from Western Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 9.6 Immigrants from Western Africa.

When considering income, the most significant differences between Indian (Asian) and Immigrants from Western Africa communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $85,676, a difference of 39.5%), per capita income ($53,874 compared to $40,294, a difference of 33.7%), and householder income ages 45 - 64 years ($122,343 compared to $92,384, a difference of 32.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($58,239 compared to $49,621, a difference of 17.4%), median female earnings ($46,481 compared to $39,351, a difference of 18.1%), and wage/income gap (26.4% compared to 22.0%, a difference of 20.0%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Western Africa communities in the United States are seen in receiving food stamps (9.6% compared to 14.7%, a difference of 52.5%), child poverty under the age of 5 (13.4% compared to 19.7%, a difference of 46.3%), and child poverty under the age of 16 (13.1% compared to 19.2%, a difference of 45.7%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 20.6%, a difference of 5.3%), seniors poverty over the age of 75 (12.7% compared to 13.9%, a difference of 9.2%), and single father poverty (14.8% compared to 16.4%, a difference of 10.9%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Western Africa communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 8.2%, a difference of 30.4%), unemployment among women with children ages 6 to 17 years (7.7% compared to 10.1%, a difference of 30.2%), and unemployment among women with children under 18 years (4.9% compared to 6.2%, a difference of 26.5%). 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 2.1%), unemployment among ages 55 to 59 years (4.9% compared to 5.1%, a difference of 3.9%), and unemployment among ages 65 to 74 years (5.3% compared to 5.6%, a difference of 5.3%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Western Africa communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 36.9%, a difference of 15.8%), in labor force | age 20-24 (71.9% compared to 75.1%, a difference of 4.5%), and in labor force | age > 16 (65.5% compared to 67.1%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.7%, a difference of 0.010%), in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.090%), and in labor force | age 20-64 (79.9% compared to 80.0%, a difference of 0.13%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Western Africa communities in the United States are seen in single mother households (5.1% compared to 8.2%, a difference of 59.9%), births to unmarried women (25.3% compared to 36.0%, a difference of 42.3%), and single father households (1.9% compared to 2.4%, a difference of 28.5%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.29, a difference of 1.4%), family households with children (27.6% compared to 28.3%, a difference of 2.5%), and family households (65.1% compared to 63.1%, a difference of 3.1%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Western Africa communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 5.4%, a difference of 19.0%), 3 or more vehicles in household (19.1% compared to 16.9%, a difference of 13.0%), and 2 or more vehicles in household (53.1% compared to 49.4%, a difference of 7.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 84.9%, a difference of 1.3%), no vehicles in household (14.1% compared to 15.0%, a difference of 6.7%), and 2 or more vehicles in household (53.1% compared to 49.4%, a difference of 7.6%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from Western Africa communities in the United States are seen in doctorate degree (2.9% compared to 1.7%, a difference of 68.8%), professional degree (6.5% compared to 4.0%, a difference of 62.9%), and master's degree (20.5% compared to 14.4%, a difference of 42.1%). Conversely, both communities are more comparable in terms of 1st grade (97.5% compared to 97.4%, a difference of 0.15%), 2nd grade (97.5% compared to 97.3%, a difference of 0.16%), and nursery school (97.6% compared to 97.4%, a difference of 0.20%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from Western Africa communities in the United States are seen in disability age 35 to 64 (8.9% compared to 12.0%, a difference of 36.0%), disability age 5 to 17 (4.6% compared to 5.9%, a difference of 30.1%), and disability age under 5 (1.0% compared to 1.2%, a difference of 24.6%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 48.0%, a difference of 3.1%), hearing disability (2.7% compared to 2.6%, a difference of 3.5%), and self-care disability (2.3% compared to 2.5%, a difference of 7.8%).