Immigrants from Asia vs Immigrants from Congo Community Comparison

The statistical analysis conducted on geographies consisting of 91,972,836 people shows a poor negative correlation between the proportion of Immigrants from Congo within Immigrant from Asia communities in the United States with a correlation coefficient (R) of -0.175. 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 Congo. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Asia corresponds to a decrease of 1.4 Immigrants from Congo.

When considering income, the most significant differences between Immigrants from Asia and Immigrants from Congo communities in the United States are seen in householder income ages 25 - 44 years ($110,787 compared to $72,178, a difference of 53.5%), householder income ages 45 - 64 years ($116,566 compared to $77,850, a difference of 49.7%), and median household income ($99,933 compared to $66,768, a difference of 49.7%). Conversely, both communities are more comparable in terms of wage/income gap (27.0% compared to 21.7%, a difference of 24.3%), median female earnings ($44,198 compared to $34,317, a difference of 28.8%), and householder income under 25 years ($56,379 compared to $43,266, a difference of 30.3%).

When considering poverty, the most significant differences between Immigrants from Asia and Immigrants from Congo communities in the United States are seen in child poverty under the age of 5 (14.4% compared to 23.9%, a difference of 65.9%), child poverty under the age of 16 (13.8% compared to 22.5%, a difference of 62.7%), and child poverty among girls under 16 (14.1% compared to 22.7%, a difference of 61.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.2% compared to 12.5%, a difference of 2.2%), single father poverty (14.7% compared to 15.4%, a difference of 4.4%), and seniors poverty over the age of 65 (10.6% compared to 11.7%, a difference of 10.7%).

When considering unemployment, the most significant differences between Immigrants from Asia and Immigrants from Congo communities in the United States are seen in unemployment among women with children under 6 years (6.8% compared to 8.5%, a difference of 24.9%), unemployment among seniors over 75 years (8.3% compared to 6.7%, a difference of 23.6%), and unemployment among ages 60 to 64 years (4.9% compared to 4.1%, a difference of 18.8%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.4% compared to 4.4%, a difference of 0.68%), unemployment among ages 25 to 29 years (6.3% compared to 6.4%, a difference of 1.1%), and female unemployment (5.2% compared to 5.3%, a difference of 1.3%).

When considering labor participation, the most significant differences between Immigrants from Asia and Immigrants from Congo communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 41.7%, a difference of 22.2%), in labor force | age 20-24 (73.6% compared to 77.4%, a difference of 5.2%), and in labor force | age 45-54 (83.3% compared to 81.6%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.0% compared to 84.6%, a difference of 0.52%), in labor force | age 25-29 (84.8% compared to 84.2%, a difference of 0.66%), and in labor force | age 20-64 (80.1% compared to 79.3%, a difference of 0.95%).

When considering family structure, the most significant differences between Immigrants from Asia and Immigrants from Congo communities in the United States are seen in single mother households (5.6% compared to 8.1%, a difference of 44.8%), births to unmarried women (26.8% compared to 36.8%, a difference of 37.3%), and married-couple households (49.1% compared to 39.0%, a difference of 25.7%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.23, a difference of 1.2%), family households with children (28.8% compared to 27.3%, a difference of 5.6%), and family households (66.1% compared to 59.2%, a difference of 11.5%).

When considering vehicle availability, the most significant differences between Immigrants from Asia and Immigrants from Congo communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 5.2%, a difference of 29.1%), 3 or more vehicles in household (20.2% compared to 17.0%, a difference of 19.2%), and 2 or more vehicles in household (56.3% compared to 52.1%, a difference of 8.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 90.0%, a difference of 0.83%), no vehicles in household (10.9% compared to 10.1%, a difference of 8.1%), and 2 or more vehicles in household (56.3% compared to 52.1%, a difference of 8.1%).

When considering education level, the most significant differences between Immigrants from Asia and Immigrants from Congo communities in the United States are seen in doctorate degree (2.4% compared to 1.6%, a difference of 52.2%), professional degree (5.5% compared to 3.6%, a difference of 51.1%), and master's degree (18.4% compared to 12.6%, a difference of 45.7%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.6%, a difference of 0.0%), kindergarten (97.6% compared to 97.6%, a difference of 0.0%), and 1st grade (97.5% compared to 97.5%, a difference of 0.0%).

When considering disability, the most significant differences between Immigrants from Asia and Immigrants from Congo communities in the United States are seen in disability age 35 to 64 (9.5% compared to 13.3%, a difference of 40.4%), disability age 5 to 17 (4.8% compared to 6.2%, a difference of 27.6%), and disability age 18 to 34 (5.9% compared to 7.1%, a difference of 21.5%). Conversely, both communities are more comparable in terms of self-care disability (2.4% compared to 2.4%, a difference of 0.55%), disability age under 5 (1.1% compared to 1.1%, a difference of 0.62%), and disability age over 75 (47.0% compared to 48.7%, a difference of 3.6%).