Immigrants from Eastern Africa vs Australian Community Comparison

The statistical analysis conducted on geographies consisting of 186,308,813 people shows no correlation between the proportion of Australians within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of -0.036. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is a decrease of 0.000% in Australians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to a decrease of 0.4 Australians.

When considering income, the most significant differences between Immigrants from Eastern Africa and Australian communities in the United States are seen in wage/income gap (22.8% compared to 28.2%, a difference of 23.4%), per capita income ($43,838 compared to $52,074, a difference of 18.8%), and householder income ages 25 - 44 years ($91,458 compared to $107,912, a difference of 18.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,158 compared to $53,739, a difference of 5.1%), median female earnings ($40,644 compared to $43,308, a difference of 6.6%), and householder income over 65 years ($61,157 compared to $66,891, a difference of 9.4%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Australian communities in the United States are seen in child poverty under the age of 16 (17.6% compared to 14.4%, a difference of 22.0%), family poverty (9.5% compared to 7.8%, a difference of 21.7%), and married-couple family poverty (5.2% compared to 4.3%, a difference of 21.0%). Conversely, both communities are more comparable in terms of single male poverty (12.3% compared to 12.6%, a difference of 2.8%), female poverty among 18-24 year olds (21.4% compared to 20.8%, a difference of 3.2%), and single mother poverty (29.3% compared to 28.3%, a difference of 3.7%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Australian communities in the United States are seen in unemployment among ages 55 to 59 years (4.5% compared to 4.8%, a difference of 8.2%), unemployment among ages 25 to 29 years (6.0% compared to 6.4%, a difference of 5.7%), and unemployment among ages 30 to 34 years (5.0% compared to 5.3%, a difference of 5.5%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (9.5% compared to 9.6%, a difference of 0.16%), unemployment among seniors over 75 years (8.7% compared to 8.7%, a difference of 0.40%), and unemployment among women with children under 6 years (7.2% compared to 7.2%, a difference of 0.49%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Australian communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 37.8%, a difference of 6.8%), in labor force | age > 16 (68.5% compared to 65.3%, a difference of 4.9%), and in labor force | age 20-24 (77.5% compared to 75.5%, a difference of 2.6%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.9% compared to 85.0%, a difference of 1.0%), in labor force | age 25-29 (86.0% compared to 84.9%, a difference of 1.2%), and in labor force | age 35-44 (85.4% compared to 84.3%, a difference of 1.3%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Australian communities in the United States are seen in single mother households (6.8% compared to 5.6%, a difference of 22.8%), single father households (2.4% compared to 2.2%, a difference of 11.4%), and married-couple households (42.9% compared to 47.4%, a difference of 10.3%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.13, a difference of 2.7%), family households (61.1% compared to 62.8%, a difference of 2.8%), and family households with children (27.7% compared to 26.9%, a difference of 2.8%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Australian communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 6.6%, a difference of 14.4%), 3 or more vehicles in household (18.0% compared to 20.1%, a difference of 11.6%), and 2 or more vehicles in household (53.7% compared to 56.7%, a difference of 5.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 90.0%, a difference of 0.12%), no vehicles in household (10.0% compared to 10.1%, a difference of 0.56%), and 2 or more vehicles in household (53.7% compared to 56.7%, a difference of 5.5%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and Australian communities in the United States are seen in no schooling completed (2.4% compared to 1.6%, a difference of 49.7%), professional degree (4.8% compared to 5.9%, a difference of 22.4%), and doctorate degree (2.1% compared to 2.4%, a difference of 13.7%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.5%, a difference of 0.83%), kindergarten (97.6% compared to 98.4%, a difference of 0.84%), and 1st grade (97.6% compared to 98.4%, a difference of 0.84%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Australian communities in the United States are seen in disability age under 5 (1.2% compared to 1.4%, a difference of 15.4%), hearing disability (2.8% compared to 3.2%, a difference of 13.5%), and cognitive disability (18.4% compared to 17.2%, a difference of 7.0%). Conversely, both communities are more comparable in terms of female disability (11.7% compared to 11.7%, a difference of 0.020%), vision disability (2.0% compared to 2.1%, a difference of 0.52%), and self-care disability (2.3% compared to 2.3%, a difference of 1.2%).