Immigrants from Uganda vs Immigrants from Africa Community Comparison

The statistical analysis conducted on geographies consisting of 125,941,298 people shows a substantial positive correlation between the proportion of Immigrants from Africa within Immigrant from Uganda communities in the United States with a correlation coefficient (R) of 0.567. On average, for every 1% (one percent) increase in Immigrants from Uganda within a typical geography, there is an increase of 0.777% in Immigrants from Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Uganda corresponds to an increase of 777.3 Immigrants from Africa.

When considering income, the most significant differences between Immigrants from Uganda and Immigrants from Africa communities in the United States are seen in wage/income gap (24.9% compared to 23.2%, a difference of 7.6%), householder income ages 45 - 64 years ($103,584 compared to $97,284, a difference of 6.5%), and median family income ($106,188 compared to $100,256, a difference of 5.9%). Conversely, both communities are more comparable in terms of median female earnings ($40,739 compared to $40,257, a difference of 1.2%), median earnings ($48,041 compared to $46,564, a difference of 3.2%), and householder income under 25 years ($52,374 compared to $50,609, a difference of 3.5%).

When considering poverty, the most significant differences between Immigrants from Uganda and Immigrants from Africa communities in the United States are seen in seniors poverty over the age of 75 (11.8% compared to 12.9%, a difference of 9.5%), family poverty (9.1% compared to 9.9%, a difference of 9.2%), and child poverty among girls under 16 (16.8% compared to 18.2%, a difference of 7.8%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.8% compared to 21.0%, a difference of 0.66%), single male poverty (12.6% compared to 12.7%, a difference of 0.80%), and male poverty (11.8% compared to 12.2%, a difference of 3.4%).

When considering unemployment, the most significant differences between Immigrants from Uganda and Immigrants from Africa communities in the United States are seen in unemployment among women with children ages 6 to 17 years (10.7% compared to 9.4%, a difference of 13.6%), unemployment among seniors over 75 years (8.0% compared to 9.0%, a difference of 12.4%), and unemployment among ages 16 to 19 years (16.5% compared to 18.0%, a difference of 8.9%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.7% compared to 4.6%, a difference of 0.81%), unemployment among women with children under 18 years (5.7% compared to 5.8%, a difference of 1.7%), and unemployment among ages 60 to 64 years (4.7% compared to 4.8%, a difference of 2.1%).

When considering labor participation, the most significant differences between Immigrants from Uganda and Immigrants from Africa communities in the United States are seen in in labor force | age 16-19 (39.2% compared to 38.0%, a difference of 3.0%), in labor force | age 25-29 (86.0% compared to 85.2%, a difference of 0.92%), and in labor force | age 45-54 (83.7% compared to 83.2%, a difference of 0.55%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.2% compared to 85.3%, a difference of 0.13%), in labor force | age 35-44 (85.0% compared to 84.9%, a difference of 0.13%), and in labor force | age > 16 (67.5% compared to 67.4%, a difference of 0.20%).

When considering family structure, the most significant differences between Immigrants from Uganda and Immigrants from Africa communities in the United States are seen in single mother households (6.6% compared to 7.3%, a difference of 10.8%), births to unmarried women (30.5% compared to 33.0%, a difference of 8.2%), and married-couple households (44.6% compared to 42.9%, a difference of 4.0%). Conversely, both communities are more comparable in terms of family households with children (28.0% compared to 28.0%, a difference of 0.19%), single father households (2.4% compared to 2.4%, a difference of 0.36%), and average family size (3.23 compared to 3.25, a difference of 0.39%).

When considering vehicle availability, the most significant differences between Immigrants from Uganda and Immigrants from Africa communities in the United States are seen in no vehicles in household (10.0% compared to 12.5%, a difference of 25.2%), 2 or more vehicles in household (55.0% compared to 51.8%, a difference of 6.2%), and 4 or more vehicles in household (5.9% compared to 5.6%, a difference of 6.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 87.6%, a difference of 2.9%), 3 or more vehicles in household (18.4% compared to 17.6%, a difference of 4.7%), and 4 or more vehicles in household (5.9% compared to 5.6%, a difference of 6.1%).

When considering education level, the most significant differences between Immigrants from Uganda and Immigrants from Africa communities in the United States are seen in doctorate degree (2.2% compared to 2.0%, a difference of 12.5%), professional degree (5.0% compared to 4.6%, a difference of 10.6%), and master's degree (16.6% compared to 15.7%, a difference of 5.9%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 97.6%, a difference of 0.25%), 1st grade (97.8% compared to 97.6%, a difference of 0.25%), and kindergarten (97.8% compared to 97.6%, a difference of 0.26%).

When considering disability, the most significant differences between Immigrants from Uganda and Immigrants from Africa communities in the United States are seen in disability age under 5 (1.1% compared to 1.2%, a difference of 6.3%), hearing disability (2.9% compared to 2.7%, a difference of 5.2%), and self-care disability (2.3% compared to 2.4%, a difference of 4.6%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.7%, a difference of 0.14%), cognitive disability (18.1% compared to 18.1%, a difference of 0.14%), and male disability (10.8% compared to 10.9%, a difference of 0.89%).