Asian vs Immigrants from Western Africa Community Comparison

The statistical analysis conducted on geographies consisting of 355,948,611 people shows a substantial negative correlation between the proportion of Immigrants from Western Africa within Asian communities in the United States with a correlation coefficient (R) of -0.553. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.007% in Immigrants from Western Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 7.1 Immigrants from Western Africa.

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

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

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

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

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

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

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

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