Sudanese vs Immigrants from Eastern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 105,213,808 people shows a weak positive correlation between the proportion of Immigrants from Eastern Africa within Sudanese communities in the United States with a correlation coefficient (R) of 0.280. On average, for every 1% (one percent) increase in Sudanese within a typical geography, there is an increase of 0.142% in Immigrants from Eastern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sudanese corresponds to an increase of 142.2 Immigrants from Eastern Africa.

When considering income, the most significant differences between Sudanese and Immigrants from Eastern Africa communities in the United States are seen in householder income under 25 years ($46,982 compared to $51,158, a difference of 8.9%), householder income ages 25 - 44 years ($84,401 compared to $91,458, a difference of 8.4%), and median household income ($78,529 compared to $84,299, a difference of 7.3%). Conversely, both communities are more comparable in terms of median male earnings ($51,216 compared to $53,713, a difference of 4.9%), householder income over 65 years ($58,281 compared to $61,157, a difference of 4.9%), and wage/income gap (24.0% compared to 22.8%, a difference of 5.0%).

When considering poverty, the most significant differences between Sudanese and Immigrants from Eastern Africa communities in the United States are seen in single father poverty (15.9% compared to 14.7%, a difference of 7.9%), married-couple family poverty (5.6% compared to 5.2%, a difference of 7.8%), and female poverty among 18-24 year olds (23.0% compared to 21.4%, a difference of 7.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.7% compared to 11.0%, a difference of 2.3%), single mother poverty (30.0% compared to 29.3%, a difference of 2.4%), and seniors poverty over the age of 75 (11.8% compared to 12.1%, a difference of 2.5%).

When considering unemployment, the most significant differences between Sudanese and Immigrants from Eastern Africa communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 8.9%, a difference of 19.6%), unemployment among ages 25 to 29 years (5.4% compared to 6.0%, a difference of 12.1%), and unemployment among seniors over 65 years (4.4% compared to 4.9%, a difference of 11.3%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.3% compared to 4.4%, a difference of 2.1%), unemployment among ages 55 to 59 years (4.6% compared to 4.5%, a difference of 3.0%), and unemployment among women with children under 18 years (5.3% compared to 5.4%, a difference of 3.0%).

When considering labor participation, the most significant differences between Sudanese and Immigrants from Eastern Africa communities in the United States are seen in in labor force | age 16-19 (42.9% compared to 40.4%, a difference of 6.2%), in labor force | age 20-24 (78.4% compared to 77.5%, a difference of 1.2%), and in labor force | age 45-54 (83.0% compared to 83.9%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.9% compared to 86.0%, a difference of 0.010%), in labor force | age 35-44 (85.0% compared to 85.4%, a difference of 0.50%), and in labor force | age 20-64 (80.8% compared to 81.3%, a difference of 0.57%).

When considering family structure, the most significant differences between Sudanese and Immigrants from Eastern Africa communities in the United States are seen in births to unmarried women (32.4% compared to 31.0%, a difference of 4.7%), married-couple households (42.1% compared to 42.9%, a difference of 2.1%), and family households (60.0% compared to 61.1%, a difference of 1.9%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 0.17%), average family size (3.20 compared to 3.22, a difference of 0.47%), and single mother households (6.9% compared to 6.8%, a difference of 0.93%).

When considering vehicle availability, the most significant differences between Sudanese and Immigrants from Eastern Africa communities in the United States are seen in no vehicles in household (9.8% compared to 10.0%, a difference of 2.0%), 4 or more vehicles in household (5.6% compared to 5.7%, a difference of 1.9%), and 3 or more vehicles in household (17.8% compared to 18.0%, a difference of 0.95%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 90.1%, a difference of 0.18%), 2 or more vehicles in household (53.6% compared to 53.7%, a difference of 0.24%), and 3 or more vehicles in household (17.8% compared to 18.0%, a difference of 0.95%).

When considering education level, the most significant differences between Sudanese and Immigrants from Eastern Africa communities in the United States are seen in master's degree (15.3% compared to 16.3%, a difference of 6.9%), no schooling completed (2.3% compared to 2.4%, a difference of 4.8%), and bachelor's degree (38.9% compared to 40.4%, a difference of 3.8%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 97.6%, a difference of 0.10%), kindergarten (97.7% compared to 97.6%, a difference of 0.10%), and 1st grade (97.7% compared to 97.6%, a difference of 0.10%).

When considering disability, the most significant differences between Sudanese and Immigrants from Eastern Africa communities in the United States are seen in disability age under 5 (1.1% compared to 1.2%, a difference of 5.3%), disability age 35 to 64 (11.9% compared to 11.3%, a difference of 5.1%), and hearing disability (2.9% compared to 2.8%, a difference of 5.0%). Conversely, both communities are more comparable in terms of disability age over 75 (47.5% compared to 47.2%, a difference of 0.78%), disability age 65 to 74 (23.7% compared to 23.4%, a difference of 0.96%), and ambulatory disability (5.7% compared to 5.6%, a difference of 2.0%).