Immigrants from Asia vs Immigrants from Sudan Community Comparison

The statistical analysis conducted on geographies consisting of 118,603,407 people shows a poor negative correlation between the proportion of Immigrants from Sudan within Immigrant from Asia communities in the United States with a correlation coefficient (R) of -0.119. On average, for every 1% (one percent) increase in Immigrants from Asia within a typical geography, there is a decrease of 0.001% in Immigrants from Sudan. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Asia corresponds to a decrease of 0.6 Immigrants from Sudan.

When considering income, the most significant differences between Immigrants from Asia and Immigrants from Sudan communities in the United States are seen in householder income ages 25 - 44 years ($110,787 compared to $86,109, a difference of 28.7%), median household income ($99,933 compared to $79,103, a difference of 26.3%), and householder income ages 45 - 64 years ($116,566 compared to $93,781, a difference of 24.3%). Conversely, both communities are more comparable in terms of householder income over 65 years ($67,594 compared to $59,248, a difference of 14.1%), wage/income gap (27.0% compared to 23.6%, a difference of 14.1%), and median female earnings ($44,198 compared to $38,511, a difference of 14.8%).

When considering poverty, the most significant differences between Immigrants from Asia and Immigrants from Sudan communities in the United States are seen in child poverty among boys under 16 (13.9% compared to 18.8%, a difference of 34.8%), child poverty under the age of 16 (13.8% compared to 18.5%, a difference of 34.0%), and child poverty under the age of 5 (14.4% compared to 19.2%, a difference of 33.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.2% compared to 12.1%, a difference of 1.1%), seniors poverty over the age of 65 (10.6% compared to 10.9%, a difference of 3.3%), and single father poverty (14.7% compared to 16.2%, a difference of 10.1%).

When considering unemployment, the most significant differences between Immigrants from Asia and Immigrants from Sudan communities in the United States are seen in unemployment among women with children under 6 years (6.8% compared to 8.0%, a difference of 17.9%), unemployment among ages 20 to 24 years (10.3% compared to 9.3%, a difference of 10.8%), and unemployment among seniors over 75 years (8.3% compared to 9.2%, a difference of 10.6%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.1% compared to 8.1%, a difference of 0.34%), unemployment among ages 55 to 59 years (4.8% compared to 4.8%, a difference of 0.94%), and unemployment among ages 35 to 44 years (4.4% compared to 4.5%, a difference of 1.3%).

When considering labor participation, the most significant differences between Immigrants from Asia and Immigrants from Sudan communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 41.0%, a difference of 20.2%), in labor force | age 20-24 (73.6% compared to 76.8%, a difference of 4.4%), and in labor force | age > 16 (66.1% compared to 67.7%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.0% compared to 84.8%, a difference of 0.22%), in labor force | age 20-64 (80.1% compared to 80.4%, a difference of 0.38%), and in labor force | age 25-29 (84.8% compared to 85.1%, a difference of 0.38%).

When considering family structure, the most significant differences between Immigrants from Asia and Immigrants from Sudan communities in the United States are seen in births to unmarried women (26.8% compared to 33.2%, a difference of 23.9%), single mother households (5.6% compared to 6.9%, a difference of 22.9%), and married-couple households (49.1% compared to 41.9%, a difference of 17.0%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.22, a difference of 1.7%), family households with children (28.8% compared to 27.3%, a difference of 5.8%), and family households (66.1% compared to 60.2%, a difference of 9.8%).

When considering vehicle availability, the most significant differences between Immigrants from Asia and Immigrants from Sudan communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 5.5%, a difference of 22.9%), 3 or more vehicles in household (20.2% compared to 17.6%, a difference of 15.3%), and 2 or more vehicles in household (56.3% compared to 52.8%, a difference of 6.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 89.7%, a difference of 0.43%), no vehicles in household (10.9% compared to 10.4%, a difference of 4.4%), and 2 or more vehicles in household (56.3% compared to 52.8%, a difference of 6.7%).

When considering education level, the most significant differences between Immigrants from Asia and Immigrants from Sudan communities in the United States are seen in master's degree (18.4% compared to 16.0%, a difference of 15.2%), professional degree (5.5% compared to 4.9%, a difference of 12.6%), and bachelor's degree (44.3% compared to 39.4%, a difference of 12.4%). Conversely, both communities are more comparable in terms of 10th grade (93.4% compared to 93.4%, a difference of 0.070%), 3rd grade (97.4% compared to 97.5%, a difference of 0.12%), and nursery school (97.6% compared to 97.7%, a difference of 0.14%).

When considering disability, the most significant differences between Immigrants from Asia and Immigrants from Sudan communities in the United States are seen in disability age 35 to 64 (9.5% compared to 11.7%, a difference of 23.8%), disability age under 5 (1.1% compared to 1.3%, a difference of 20.6%), and disability age 5 to 17 (4.8% compared to 5.8%, a difference of 19.2%). Conversely, both communities are more comparable in terms of disability age over 75 (47.0% compared to 47.5%, a difference of 1.1%), self-care disability (2.4% compared to 2.3%, a difference of 3.8%), and hearing disability (2.7% compared to 2.9%, a difference of 4.1%).