Immigrants from Western Africa vs Asian Community Comparison

The statistical analysis conducted on geographies consisting of 356,293,778 people shows a mild negative correlation between the proportion of Asians within Immigrant from Western Africa communities in the United States with a correlation coefficient (R) of -0.372. On average, for every 1% (one percent) increase in Immigrants from Western Africa within a typical geography, there is a decrease of 0.337% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Africa corresponds to a decrease of 337.3 Asians.

When considering income, the most significant differences between Immigrants from Western Africa and Asian communities in the United States are seen in householder income ages 25 - 44 years ($85,676 compared to $112,666, a difference of 31.5%), householder income ages 45 - 64 years ($92,384 compared to $118,426, a difference of 28.2%), and median household income ($79,490 compared to $101,681, a difference of 27.9%). Conversely, both communities are more comparable in terms of median female earnings ($39,351 compared to $44,586, a difference of 13.3%), householder income under 25 years ($49,621 compared to $57,003, a difference of 14.9%), and median earnings ($44,893 compared to $53,690, a difference of 19.6%).

When considering poverty, the most significant differences between Immigrants from Western Africa and Asian communities in the United States are seen in receiving food stamps (14.7% compared to 9.7%, a difference of 51.7%), child poverty among boys under 16 (19.3% compared to 13.5%, a difference of 42.5%), and child poverty under the age of 16 (19.2% compared to 13.5%, a difference of 42.2%). Conversely, both communities are more comparable in terms of single father poverty (16.4% compared to 14.6%, a difference of 12.6%), female poverty among 18-24 year olds (20.6% compared to 18.2%, a difference of 13.5%), and single mother poverty (29.9% compared to 26.0%, a difference of 15.1%).

When considering unemployment, the most significant differences between Immigrants from Western Africa and Asian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (10.1% compared to 8.0%, a difference of 26.4%), unemployment among women with children under 6 years (8.2% compared to 6.7%, a difference of 23.0%), and unemployment among women with children under 18 years (6.2% compared to 5.1%, a difference of 22.4%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.86%), unemployment among ages 65 to 74 years (5.6% compared to 5.3%, a difference of 7.0%), and unemployment among seniors over 65 years (5.4% compared to 5.1%, a difference of 7.4%).

When considering labor participation, the most significant differences between Immigrants from Western Africa and Asian communities in the United States are seen in in labor force | age 16-19 (36.9% compared to 34.1%, a difference of 8.3%), in labor force | age 20-24 (75.1% compared to 73.7%, a difference of 2.0%), and in labor force | age > 16 (67.1% compared to 66.2%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.7%, a difference of 0.060%), in labor force | age 30-34 (85.0% compared to 85.1%, a difference of 0.080%), and in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.15%).

When considering family structure, the most significant differences between Immigrants from Western Africa and Asian communities in the United States are seen in single mother households (8.2% compared to 5.6%, a difference of 46.0%), births to unmarried women (36.0% compared to 26.8%, a difference of 34.2%), and married-couple households (41.4% compared to 49.5%, a difference of 19.6%). Conversely, both communities are more comparable in terms of average family size (3.29 compared to 3.28, a difference of 0.30%), family households with children (28.3% compared to 29.1%, a difference of 2.7%), and family households (63.1% compared to 66.5%, a difference of 5.3%).

When considering vehicle availability, the most significant differences between Immigrants from Western Africa and Asian communities in the United States are seen in no vehicles in household (15.0% compared to 9.0%, a difference of 67.1%), 4 or more vehicles in household (5.4% compared to 7.0%, a difference of 29.7%), and 3 or more vehicles in household (16.9% compared to 20.8%, a difference of 22.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (84.9% compared to 91.1%, a difference of 7.3%), 2 or more vehicles in household (49.4% compared to 57.0%, a difference of 15.4%), and 3 or more vehicles in household (16.9% compared to 20.8%, a difference of 22.7%).

When considering education level, the most significant differences between Immigrants from Western Africa and Asian communities in the United States are seen in doctorate degree (1.7% compared to 2.4%, a difference of 40.9%), professional degree (4.0% compared to 5.5%, a difference of 37.6%), and master's degree (14.4% compared to 18.4%, a difference of 28.1%). Conversely, both communities are more comparable in terms of 1st grade (97.4% compared to 97.6%, a difference of 0.20%), nursery school (97.4% compared to 97.6%, a difference of 0.21%), and kindergarten (97.4% compared to 97.6%, a difference of 0.21%).

When considering disability, the most significant differences between Immigrants from Western Africa and Asian communities in the United States are seen in disability age 35 to 64 (12.0% compared to 9.4%, a difference of 28.3%), disability age 5 to 17 (5.9% compared to 4.8%, a difference of 23.6%), and vision disability (2.3% compared to 1.9%, a difference of 20.0%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 46.9%, a difference of 2.2%), hearing disability (2.6% compared to 2.7%, a difference of 4.7%), and self-care disability (2.5% compared to 2.3%, a difference of 8.4%).