Immigrants from Western Asia vs African Community Comparison

The statistical analysis conducted on geographies consisting of 368,685,576 people shows a substantial negative correlation between the proportion of Africans within Immigrant from Western Asia communities in the United States with a correlation coefficient (R) of -0.519. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is a decrease of 0.021% in Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Asia corresponds to a decrease of 20.5 Africans.

When considering income, the most significant differences between Immigrants from Western Asia and African communities in the United States are seen in householder income ages 25 - 44 years ($99,516 compared to $78,986, a difference of 26.0%), householder income ages 45 - 64 years ($106,217 compared to $84,925, a difference of 25.1%), and per capita income ($46,876 compared to $37,785, a difference of 24.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,190 compared to $46,838, a difference of 11.4%), median female earnings ($41,375 compared to $36,530, a difference of 13.3%), and wage/income gap (26.3% compared to 22.9%, a difference of 14.7%).

When considering poverty, the most significant differences between Immigrants from Western Asia and African communities in the United States are seen in child poverty under the age of 5 (17.1% compared to 22.8%, a difference of 33.7%), female poverty among 25-34 year olds (12.8% compared to 17.0%, a difference of 33.0%), and child poverty among girls under 16 (16.6% compared to 21.9%, a difference of 32.3%). Conversely, both communities are more comparable in terms of married-couple family poverty (6.0% compared to 6.0%, a difference of 0.090%), seniors poverty over the age of 75 (12.9% compared to 13.6%, a difference of 5.3%), and seniors poverty over the age of 65 (11.4% compared to 12.6%, a difference of 10.6%).

When considering unemployment, the most significant differences between Immigrants from Western Asia and African communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 9.2%, a difference of 21.6%), unemployment among women with children ages 6 to 17 years (8.7% compared to 10.4%, a difference of 19.4%), and unemployment among ages 30 to 34 years (5.5% compared to 6.4%, a difference of 16.5%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.4% compared to 5.5%, a difference of 0.14%), unemployment among ages 60 to 64 years (5.0% compared to 5.0%, a difference of 0.62%), and unemployment among seniors over 75 years (9.0% compared to 9.1%, a difference of 1.3%).

When considering labor participation, the most significant differences between Immigrants from Western Asia and African communities in the United States are seen in in labor force | age 16-19 (34.8% compared to 38.0%, a difference of 9.2%), in labor force | age 45-54 (82.4% compared to 80.5%, a difference of 2.4%), and in labor force | age 20-24 (73.5% compared to 75.0%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.3% compared to 64.6%, a difference of 0.99%), in labor force | age 25-29 (84.1% compared to 83.2%, a difference of 1.0%), and in labor force | age 35-44 (83.8% compared to 82.9%, a difference of 1.0%).

When considering family structure, the most significant differences between Immigrants from Western Asia and African communities in the United States are seen in births to unmarried women (27.2% compared to 39.7%, a difference of 45.9%), single mother households (5.7% compared to 8.2%, a difference of 42.8%), and single father households (2.1% compared to 2.5%, a difference of 19.1%). Conversely, both communities are more comparable in terms of average family size (3.26 compared to 3.25, a difference of 0.11%), family households with children (27.9% compared to 27.2%, a difference of 2.5%), and family households (64.1% compared to 62.1%, a difference of 3.1%).

When considering vehicle availability, the most significant differences between Immigrants from Western Asia and African communities in the United States are seen in no vehicles in household (11.0% compared to 12.3%, a difference of 11.5%), 2 or more vehicles in household (54.1% compared to 51.8%, a difference of 4.4%), and 4 or more vehicles in household (5.9% compared to 5.8%, a difference of 1.5%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (18.4% compared to 18.2%, a difference of 1.3%), 1 or more vehicles in household (89.0% compared to 87.8%, a difference of 1.4%), and 4 or more vehicles in household (5.9% compared to 5.8%, a difference of 1.5%).

When considering education level, the most significant differences between Immigrants from Western Asia and African communities in the United States are seen in professional degree (5.4% compared to 3.7%, a difference of 47.3%), doctorate degree (2.2% compared to 1.6%, a difference of 43.3%), and master's degree (17.5% compared to 12.9%, a difference of 35.5%). Conversely, both communities are more comparable in terms of 9th grade (94.5% compared to 94.5%, a difference of 0.040%), 5th grade (97.0% compared to 97.2%, a difference of 0.14%), and 4th grade (97.2% compared to 97.4%, a difference of 0.15%).

When considering disability, the most significant differences between Immigrants from Western Asia and African communities in the United States are seen in disability age 35 to 64 (10.4% compared to 13.6%, a difference of 30.6%), disability age 5 to 17 (5.1% compared to 6.5%, a difference of 28.2%), and vision disability (2.0% compared to 2.5%, a difference of 24.3%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 48.9%, a difference of 1.8%), self-care disability (2.6% compared to 2.7%, a difference of 4.3%), and hearing disability (2.9% compared to 3.0%, a difference of 6.4%).