Immigrants from Sudan vs Immigrants from Congo Community Comparison

The statistical analysis conducted on geographies consisting of 62,979,090 people shows a poor positive correlation between the proportion of Immigrants from Congo within Immigrant from Sudan communities in the United States with a correlation coefficient (R) of 0.144. On average, for every 1% (one percent) increase in Immigrants from Sudan within a typical geography, there is an increase of 0.042% in Immigrants from Congo. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Sudan corresponds to an increase of 42.1 Immigrants from Congo.

When considering income, the most significant differences between Immigrants from Sudan and Immigrants from Congo communities in the United States are seen in householder income ages 45 - 64 years ($93,781 compared to $77,850, a difference of 20.5%), householder income ages 25 - 44 years ($86,109 compared to $72,178, a difference of 19.3%), and median family income ($97,737 compared to $82,216, a difference of 18.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($46,791 compared to $43,266, a difference of 8.2%), wage/income gap (23.6% compared to 21.7%, a difference of 9.0%), and median female earnings ($38,511 compared to $34,317, a difference of 12.2%).

When considering poverty, the most significant differences between Immigrants from Sudan and Immigrants from Congo communities in the United States are seen in child poverty under the age of 5 (19.2% compared to 23.9%, a difference of 24.5%), child poverty among girls under 16 (18.6% compared to 22.7%, a difference of 22.4%), and child poverty under the age of 16 (18.5% compared to 22.5%, a difference of 21.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.1% compared to 12.5%, a difference of 3.4%), female poverty among 18-24 year olds (23.5% compared to 24.6%, a difference of 4.5%), and single father poverty (16.2% compared to 15.4%, a difference of 5.4%).

When considering unemployment, the most significant differences between Immigrants from Sudan and Immigrants from Congo communities in the United States are seen in unemployment among seniors over 75 years (9.2% compared to 6.7%, a difference of 36.7%), unemployment among ages 55 to 59 years (4.8% compared to 4.3%, a difference of 11.6%), and unemployment among women with children ages 6 to 17 years (8.1% compared to 9.0%, a difference of 11.5%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (9.3% compared to 9.2%, a difference of 0.41%), unemployment among ages 16 to 19 years (16.0% compared to 16.3%, a difference of 1.5%), and unemployment among youth under 25 years (10.5% compared to 10.9%, a difference of 2.9%).

When considering labor participation, the most significant differences between Immigrants from Sudan and Immigrants from Congo communities in the United States are seen in in labor force | age 16-19 (41.0% compared to 41.7%, a difference of 1.7%), in labor force | age 35-44 (84.9% compared to 83.5%, a difference of 1.7%), and in labor force | age 45-54 (82.8% compared to 81.6%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.8% compared to 84.6%, a difference of 0.30%), in labor force | age 20-24 (76.8% compared to 77.4%, a difference of 0.74%), and in labor force | age > 16 (67.7% compared to 67.1%, a difference of 0.85%).

When considering family structure, the most significant differences between Immigrants from Sudan and Immigrants from Congo communities in the United States are seen in single mother households (6.9% compared to 8.1%, a difference of 17.9%), births to unmarried women (33.2% compared to 36.8%, a difference of 10.8%), and divorced or separated (12.3% compared to 13.5%, a difference of 9.3%). Conversely, both communities are more comparable in terms of family households with children (27.3% compared to 27.3%, a difference of 0.21%), average family size (3.22 compared to 3.23, a difference of 0.46%), and family households (60.2% compared to 59.2%, a difference of 1.5%).

When considering vehicle availability, the most significant differences between Immigrants from Sudan and Immigrants from Congo communities in the United States are seen in 4 or more vehicles in household (5.5% compared to 5.2%, a difference of 5.1%), no vehicles in household (10.4% compared to 10.1%, a difference of 3.5%), and 3 or more vehicles in household (17.6% compared to 17.0%, a difference of 3.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.7% compared to 90.0%, a difference of 0.40%), 2 or more vehicles in household (52.8% compared to 52.1%, a difference of 1.3%), and 3 or more vehicles in household (17.6% compared to 17.0%, a difference of 3.4%).

When considering education level, the most significant differences between Immigrants from Sudan and Immigrants from Congo communities in the United States are seen in doctorate degree (2.2% compared to 1.6%, a difference of 35.4%), professional degree (4.9% compared to 3.6%, a difference of 34.2%), and master's degree (16.0% compared to 12.6%, a difference of 26.5%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 97.6%, a difference of 0.13%), kindergarten (97.7% compared to 97.6%, a difference of 0.14%), and 1st grade (97.7% compared to 97.5%, a difference of 0.14%).

When considering disability, the most significant differences between Immigrants from Sudan and Immigrants from Congo communities in the United States are seen in disability age under 5 (1.3% compared to 1.1%, a difference of 19.9%), disability age 35 to 64 (11.7% compared to 13.3%, a difference of 13.4%), and disability age 65 to 74 (23.8% compared to 26.0%, a difference of 9.2%). Conversely, both communities are more comparable in terms of hearing disability (2.9% compared to 2.9%, a difference of 1.6%), disability age over 75 (47.5% compared to 48.7%, a difference of 2.5%), and self-care disability (2.3% compared to 2.4%, a difference of 3.2%).