Immigrants from Eastern Africa vs Sudanese Community Comparison

The statistical analysis conducted on geographies consisting of 105,244,416 people shows a moderate positive correlation between the proportion of Sudanese within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of 0.493. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is an increase of 0.052% in Sudanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to an increase of 51.7 Sudanese.

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

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

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

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

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

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

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

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