Asian vs Immigrants from Middle Africa Community Comparison

The statistical analysis conducted on geographies consisting of 202,043,903 people shows a moderate negative correlation between the proportion of Immigrants from Middle Africa within Asian communities in the United States with a correlation coefficient (R) of -0.436. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.003% in Immigrants from Middle Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 2.6 Immigrants from Middle Africa.

When considering income, the most significant differences between Asian and Immigrants from Middle Africa communities in the United States are seen in householder income ages 25 - 44 years ($112,666 compared to $82,254, a difference of 37.0%), median household income ($101,681 compared to $77,559, a difference of 31.1%), and median male earnings ($63,827 compared to $49,201, a difference of 29.7%). Conversely, both communities are more comparable in terms of median female earnings ($44,586 compared to $37,965, a difference of 17.4%), householder income over 65 years ($68,822 compared to $58,375, a difference of 17.9%), and householder income under 25 years ($57,003 compared to $47,916, a difference of 19.0%).

When considering poverty, the most significant differences between Asian and Immigrants from Middle Africa communities in the United States are seen in child poverty under the age of 5 (14.0% compared to 19.7%, a difference of 41.3%), child poverty under the age of 16 (13.5% compared to 19.0%, a difference of 41.3%), and child poverty among girls under 16 (13.7% compared to 19.2%, a difference of 40.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 12.1%, a difference of 0.56%), seniors poverty over the age of 65 (10.4% compared to 11.1%, a difference of 6.3%), and single father poverty (14.6% compared to 15.6%, a difference of 7.4%).

When considering unemployment, the most significant differences between Asian and Immigrants from Middle Africa communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 8.1%, a difference of 21.0%), unemployment among women with children ages 6 to 17 years (8.0% compared to 9.1%, a difference of 14.7%), and unemployment among women with children under 18 years (5.1% compared to 5.8%, a difference of 14.0%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.3% compared to 8.3%, a difference of 0.52%), unemployment among ages 16 to 19 years (16.9% compared to 17.1%, a difference of 1.3%), and unemployment among ages 65 to 74 years (5.3% compared to 5.2%, a difference of 1.5%).

When considering labor participation, the most significant differences between Asian and Immigrants from Middle Africa communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 39.9%, a difference of 17.2%), in labor force | age 20-24 (73.7% compared to 76.6%, a difference of 4.1%), and in labor force | age > 16 (66.2% compared to 67.7%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.1% compared to 85.2%, a difference of 0.11%), in labor force | age 25-29 (84.8% compared to 85.0%, a difference of 0.20%), and in labor force | age 45-54 (83.4% compared to 83.3%, a difference of 0.21%).

When considering family structure, the most significant differences between Asian and Immigrants from Middle Africa communities in the United States are seen in single mother households (5.6% compared to 7.7%, a difference of 38.1%), births to unmarried women (26.8% compared to 34.9%, a difference of 30.5%), and divorced or separated (10.6% compared to 12.7%, a difference of 19.0%). Conversely, both communities are more comparable in terms of average family size (3.28 compared to 3.25, a difference of 0.88%), family households with children (29.1% compared to 28.0%, a difference of 3.8%), and family households (66.5% compared to 61.9%, a difference of 7.5%).

When considering vehicle availability, the most significant differences between Asian and Immigrants from Middle Africa communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 5.8%, a difference of 21.1%), 3 or more vehicles in household (20.8% compared to 18.2%, a difference of 13.8%), and no vehicles in household (9.0% compared to 10.2%, a difference of 13.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 89.9%, a difference of 1.4%), 2 or more vehicles in household (57.0% compared to 53.4%, a difference of 6.7%), and no vehicles in household (9.0% compared to 10.2%, a difference of 13.4%).

When considering education level, the most significant differences between Asian and Immigrants from Middle Africa communities in the United States are seen in professional degree (5.5% compared to 4.2%, a difference of 31.0%), doctorate degree (2.4% compared to 1.9%, a difference of 28.4%), and master's degree (18.4% compared to 14.6%, a difference of 26.4%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.6%, a difference of 0.010%), kindergarten (97.6% compared to 97.6%, a difference of 0.010%), and 1st grade (97.6% compared to 97.6%, a difference of 0.010%).

When considering disability, the most significant differences between Asian and Immigrants from Middle Africa communities in the United States are seen in disability age 35 to 64 (9.4% compared to 12.0%, a difference of 27.5%), disability age 5 to 17 (4.8% compared to 5.9%, a difference of 23.6%), and disability age 18 to 34 (5.8% compared to 6.9%, a difference of 18.8%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.25%), disability age over 75 (46.9% compared to 47.1%, a difference of 0.41%), and hearing disability (2.7% compared to 2.8%, a difference of 0.90%).