Nonimmigrants vs Immigrants from Western Africa Community Comparison

The statistical analysis conducted on geographies consisting of 357,678,981 people shows a poor negative correlation between the proportion of Immigrants from Western Africa within Nonimmigrant communities in the United States with a correlation coefficient (R) of -0.154. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is a decrease of 0.003% in Immigrants from Western Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to a decrease of 3.0 Immigrants from Western Africa.

When considering income, the most significant differences between Nonimmigrants and Immigrants from Western Africa communities in the United States are seen in wage/income gap (27.2% compared to 22.0%, a difference of 23.3%), median female earnings ($37,024 compared to $39,351, a difference of 6.3%), and householder income ages 25 - 44 years ($88,301 compared to $85,676, a difference of 3.1%). Conversely, both communities are more comparable in terms of median household income ($79,429 compared to $79,490, a difference of 0.080%), householder income over 65 years ($57,426 compared to $57,119, a difference of 0.54%), and householder income under 25 years ($49,348 compared to $49,621, a difference of 0.55%).

When considering poverty, the most significant differences between Nonimmigrants and Immigrants from Western Africa communities in the United States are seen in receiving food stamps (12.4% compared to 14.7%, a difference of 18.7%), seniors poverty over the age of 65 (10.9% compared to 12.6%, a difference of 15.5%), and single father poverty (18.8% compared to 16.4%, a difference of 14.9%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (19.7% compared to 19.7%, a difference of 0.31%), female poverty among 18-24 year olds (21.5% compared to 20.6%, a difference of 4.3%), and female poverty among 25-34 year olds (15.6% compared to 14.9%, a difference of 5.1%).

When considering unemployment, the most significant differences between Nonimmigrants and Immigrants from Western Africa communities in the United States are seen in unemployment (5.3% compared to 6.0%, a difference of 14.3%), male unemployment (5.4% compared to 6.2%, a difference of 13.7%), and unemployment among youth under 25 years (11.9% compared to 13.4%, a difference of 12.0%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (10.0% compared to 10.1%, a difference of 0.57%), unemployment among seniors over 75 years (9.8% compared to 9.8%, a difference of 0.59%), and unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.99%).

When considering labor participation, the most significant differences between Nonimmigrants and Immigrants from Western Africa communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 36.9%, a difference of 8.7%), in labor force | age > 16 (63.5% compared to 67.1%, a difference of 5.6%), and in labor force | age 20-64 (78.1% compared to 80.0%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.7% compared to 84.7%, a difference of 1.2%), in labor force | age 20-24 (76.2% compared to 75.1%, a difference of 1.4%), and in labor force | age 30-34 (83.5% compared to 85.0%, a difference of 1.8%).

When considering family structure, the most significant differences between Nonimmigrants and Immigrants from Western Africa communities in the United States are seen in single mother households (6.7% compared to 8.2%, a difference of 22.2%), married-couple households (46.9% compared to 41.4%, a difference of 13.4%), and currently married (46.9% compared to 42.4%, a difference of 10.7%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 0.14%), births to unmarried women (35.5% compared to 36.0%, a difference of 1.2%), and family households (64.8% compared to 63.1%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Nonimmigrants and Immigrants from Western Africa communities in the United States are seen in no vehicles in household (7.9% compared to 15.0%, a difference of 89.9%), 4 or more vehicles in household (7.2% compared to 5.4%, a difference of 33.6%), and 3 or more vehicles in household (21.8% compared to 16.9%, a difference of 28.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.2% compared to 84.9%, a difference of 8.6%), 2 or more vehicles in household (58.8% compared to 49.4%, a difference of 19.0%), and 3 or more vehicles in household (21.8% compared to 16.9%, a difference of 28.7%).

When considering education level, the most significant differences between Nonimmigrants and Immigrants from Western Africa communities in the United States are seen in no schooling completed (1.8% compared to 2.6%, a difference of 43.4%), master's degree (13.3% compared to 14.4%, a difference of 8.0%), and bachelor's degree (34.2% compared to 36.1%, a difference of 5.8%). Conversely, both communities are more comparable in terms of college, under 1 year (62.9% compared to 62.8%, a difference of 0.24%), nursery school (98.3% compared to 97.4%, a difference of 0.86%), and kindergarten (98.3% compared to 97.4%, a difference of 0.87%).

When considering disability, the most significant differences between Nonimmigrants and Immigrants from Western Africa communities in the United States are seen in hearing disability (3.6% compared to 2.6%, a difference of 36.9%), disability age under 5 (1.6% compared to 1.2%, a difference of 28.6%), and male disability (12.9% compared to 11.1%, a difference of 16.7%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 48.0%, a difference of 0.15%), disability age 65 to 74 (25.0% compared to 24.6%, a difference of 1.7%), and self-care disability (2.6% compared to 2.5%, a difference of 4.8%).