Immigrants from Eastern Africa vs Asian Community Comparison

The statistical analysis conducted on geographies consisting of 353,607,816 people shows a weak negative correlation between the proportion of Asians within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of -0.227. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is a decrease of 0.162% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to a decrease of 161.6 Asians.

When considering income, the most significant differences between Immigrants from Eastern Africa and Asian communities in the United States are seen in householder income ages 25 - 44 years ($91,458 compared to $112,666, a difference of 23.2%), median household income ($84,299 compared to $101,681, a difference of 20.6%), and householder income ages 45 - 64 years ($98,467 compared to $118,426, a difference of 20.3%). Conversely, both communities are more comparable in terms of median female earnings ($40,644 compared to $44,586, a difference of 9.7%), householder income under 25 years ($51,158 compared to $57,003, a difference of 11.4%), and householder income over 65 years ($61,157 compared to $68,822, a difference of 12.5%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Asian communities in the United States are seen in child poverty among boys under 16 (17.7% compared to 13.5%, a difference of 30.9%), child poverty under the age of 16 (17.6% compared to 13.5%, a difference of 30.7%), and child poverty among girls under 16 (17.7% compared to 13.7%, a difference of 29.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.1% compared to 12.0%, a difference of 0.59%), single father poverty (14.7% compared to 14.6%, a difference of 1.0%), and seniors poverty over the age of 65 (11.0% compared to 10.4%, a difference of 5.7%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Asian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.9% compared to 8.0%, a difference of 11.3%), unemployment among women with children under 6 years (7.2% compared to 6.7%, a difference of 7.5%), and unemployment among women with children under 18 years (5.4% compared to 5.1%, a difference of 7.2%). Conversely, both communities are more comparable in terms of unemployment (5.1% compared to 5.1%, a difference of 0.14%), unemployment among ages 16 to 19 years (16.8% compared to 16.9%, a difference of 0.77%), and unemployment among ages 30 to 34 years (5.0% compared to 5.1%, a difference of 1.8%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Asian communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 34.1%, a difference of 18.5%), in labor force | age 20-24 (77.5% compared to 73.7%, a difference of 5.2%), and in labor force | age > 16 (68.5% compared to 66.2%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.9% compared to 83.4%, a difference of 0.57%), in labor force | age 35-44 (85.4% compared to 84.7%, a difference of 0.88%), and in labor force | age 30-34 (85.9% compared to 85.1%, a difference of 0.99%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Asian communities in the United States are seen in single mother households (6.8% compared to 5.6%, a difference of 22.4%), births to unmarried women (31.0% compared to 26.8%, a difference of 15.6%), and single father households (2.4% compared to 2.1%, a difference of 15.4%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.28, a difference of 2.0%), family households with children (27.7% compared to 29.1%, a difference of 5.0%), and family households (61.1% compared to 66.5%, a difference of 8.8%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Asian communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 7.0%, a difference of 22.4%), 3 or more vehicles in household (18.0% compared to 20.8%, a difference of 15.2%), and no vehicles in household (10.0% compared to 9.0%, a difference of 11.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 91.1%, a difference of 1.1%), 2 or more vehicles in household (53.7% compared to 57.0%, a difference of 6.0%), and no vehicles in household (10.0% compared to 9.0%, a difference of 11.9%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and Asian communities in the United States are seen in doctorate degree (2.1% compared to 2.4%, a difference of 15.2%), professional degree (4.8% compared to 5.5%, a difference of 14.6%), and master's degree (16.3% compared to 18.4%, a difference of 12.8%). Conversely, both communities are more comparable in terms of 1st grade (97.6% compared to 97.6%, a difference of 0.0%), nursery school (97.6% compared to 97.6%, a difference of 0.010%), and kindergarten (97.6% compared to 97.6%, a difference of 0.010%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Asian communities in the United States are seen in disability age 35 to 64 (11.3% compared to 9.4%, a difference of 20.9%), disability age 5 to 17 (5.7% compared to 4.8%, a difference of 17.9%), and disability age 18 to 34 (6.7% compared to 5.8%, a difference of 14.6%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 46.9%, a difference of 0.48%), hearing disability (2.8% compared to 2.7%, a difference of 1.9%), and self-care disability (2.3% compared to 2.3%, a difference of 2.3%).