Immigrants from Asia vs Immigrants from Ethiopia Community Comparison

The statistical analysis conducted on geographies consisting of 209,538,842 people shows a moderate negative correlation between the proportion of Immigrants from Ethiopia within Immigrant from Asia communities in the United States with a correlation coefficient (R) of -0.431. On average, for every 1% (one percent) increase in Immigrants from Asia within a typical geography, there is a decrease of 0.005% in Immigrants from Ethiopia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Asia corresponds to a decrease of 5.2 Immigrants from Ethiopia.

When considering income, the most significant differences between Immigrants from Asia and Immigrants from Ethiopia communities in the United States are seen in wage/income gap (27.0% compared to 21.6%, a difference of 25.0%), householder income ages 25 - 44 years ($110,787 compared to $95,256, a difference of 16.3%), and median male earnings ($63,240 compared to $55,434, a difference of 14.1%). Conversely, both communities are more comparable in terms of median female earnings ($44,198 compared to $42,744, a difference of 3.4%), householder income over 65 years ($67,594 compared to $65,238, a difference of 3.6%), and householder income under 25 years ($56,379 compared to $53,408, a difference of 5.6%).

When considering poverty, the most significant differences between Immigrants from Asia and Immigrants from Ethiopia communities in the United States are seen in child poverty under the age of 16 (13.8% compared to 16.4%, a difference of 18.1%), child poverty among girls under 16 (14.1% compared to 16.6%, a difference of 18.0%), and child poverty among boys under 16 (13.9% compared to 16.4%, a difference of 17.7%). Conversely, both communities are more comparable in terms of single male poverty (11.4% compared to 11.4%, a difference of 0.45%), seniors poverty over the age of 65 (10.6% compared to 10.7%, a difference of 1.0%), and married-couple family poverty (4.8% compared to 5.1%, a difference of 4.8%).

When considering unemployment, the most significant differences between Immigrants from Asia and Immigrants from Ethiopia communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.1% compared to 8.8%, a difference of 8.3%), unemployment among ages 20 to 24 years (10.3% compared to 9.6%, a difference of 6.7%), and unemployment among ages 55 to 59 years (4.8% compared to 4.5%, a difference of 6.5%). Conversely, both communities are more comparable in terms of male unemployment (5.1% compared to 5.1%, a difference of 0.34%), unemployment (5.1% compared to 5.1%, a difference of 0.59%), and unemployment among women with children under 6 years (6.8% compared to 6.9%, a difference of 1.1%).

When considering labor participation, the most significant differences between Immigrants from Asia and Immigrants from Ethiopia communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 38.6%, a difference of 13.0%), in labor force | age 20-24 (73.6% compared to 77.5%, a difference of 5.3%), and in labor force | age > 16 (66.1% compared to 69.4%, a difference of 5.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 86.1%, a difference of 1.6%), in labor force | age 35-44 (84.5% compared to 85.9%, a difference of 1.6%), and in labor force | age 45-54 (83.3% compared to 84.8%, a difference of 1.8%).

When considering family structure, the most significant differences between Immigrants from Asia and Immigrants from Ethiopia communities in the United States are seen in single mother households (5.6% compared to 6.6%, a difference of 18.0%), single father households (2.1% compared to 2.4%, a difference of 15.9%), and married-couple households (49.1% compared to 43.1%, a difference of 14.0%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.25, a difference of 0.57%), family households with children (28.8% compared to 27.8%, a difference of 3.8%), and family households (66.1% compared to 61.2%, a difference of 7.9%).

When considering vehicle availability, the most significant differences between Immigrants from Asia and Immigrants from Ethiopia communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 5.7%, a difference of 18.1%), 3 or more vehicles in household (20.2% compared to 17.9%, a difference of 13.1%), and 2 or more vehicles in household (56.3% compared to 53.0%, a difference of 6.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 89.6%, a difference of 0.36%), no vehicles in household (10.9% compared to 10.4%, a difference of 4.1%), and 2 or more vehicles in household (56.3% compared to 53.0%, a difference of 6.2%).

When considering education level, the most significant differences between Immigrants from Asia and Immigrants from Ethiopia communities in the United States are seen in bachelor's degree (44.3% compared to 42.5%, a difference of 4.3%), associate's degree (52.0% compared to 50.1%, a difference of 3.7%), and doctorate degree (2.4% compared to 2.4%, a difference of 3.1%). Conversely, both communities are more comparable in terms of kindergarten (97.6% compared to 97.5%, a difference of 0.040%), 1st grade (97.5% compared to 97.5%, a difference of 0.040%), and nursery school (97.6% compared to 97.6%, a difference of 0.050%).

When considering disability, the most significant differences between Immigrants from Asia and Immigrants from Ethiopia communities in the United States are seen in disability age 5 to 17 (4.8% compared to 5.4%, a difference of 11.1%), disability age 35 to 64 (9.5% compared to 10.5%, a difference of 10.4%), and self-care disability (2.4% compared to 2.2%, a difference of 7.8%). Conversely, both communities are more comparable in terms of disability age over 75 (47.0% compared to 46.8%, a difference of 0.52%), male disability (10.0% compared to 10.2%, a difference of 1.6%), and female disability (11.0% compared to 11.2%, a difference of 1.6%).