Immigrants from Western Asia vs Immigrants from Uganda Community Comparison

The statistical analysis conducted on geographies consisting of 120,566,758 people shows a weak positive correlation between the proportion of Immigrants from Uganda within Immigrant from Western Asia communities in the United States with a correlation coefficient (R) of 0.227. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is an increase of 0.007% in Immigrants from Uganda. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Asia corresponds to an increase of 6.8 Immigrants from Uganda.

When considering income, the most significant differences between Immigrants from Western Asia and Immigrants from Uganda communities in the United States are seen in wage/income gap (26.3% compared to 24.9%, a difference of 5.5%), per capita income ($46,876 compared to $45,043, a difference of 4.1%), and householder income ages 25 - 44 years ($99,516 compared to $95,698, a difference of 4.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,190 compared to $52,374, a difference of 0.35%), householder income over 65 years ($62,645 compared to $61,976, a difference of 1.1%), and median female earnings ($41,375 compared to $40,739, a difference of 1.6%).

When considering poverty, the most significant differences between Immigrants from Western Asia and Immigrants from Uganda communities in the United States are seen in married-couple family poverty (6.0% compared to 5.2%, a difference of 14.9%), seniors poverty over the age of 75 (12.9% compared to 11.8%, a difference of 9.9%), and female poverty among 25-34 year olds (12.8% compared to 13.5%, a difference of 5.3%). Conversely, both communities are more comparable in terms of single mother poverty (28.3% compared to 28.3%, a difference of 0.030%), male poverty (11.8% compared to 11.8%, a difference of 0.36%), and poverty (12.9% compared to 12.8%, a difference of 0.43%).

When considering unemployment, the most significant differences between Immigrants from Western Asia and Immigrants from Uganda communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.7% compared to 10.7%, a difference of 22.4%), unemployment among seniors over 75 years (9.0% compared to 8.0%, a difference of 11.9%), and unemployment among ages 55 to 59 years (5.0% compared to 4.6%, a difference of 9.5%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.6% compared to 5.7%, a difference of 0.68%), unemployment among women with children under 6 years (7.5% compared to 7.4%, a difference of 1.7%), and unemployment among ages 35 to 44 years (4.8% compared to 4.7%, a difference of 2.7%).

When considering labor participation, the most significant differences between Immigrants from Western Asia and Immigrants from Uganda communities in the United States are seen in in labor force | age 16-19 (34.8% compared to 39.2%, a difference of 12.7%), in labor force | age > 16 (65.3% compared to 67.5%, a difference of 3.5%), and in labor force | age 20-24 (73.5% compared to 76.0%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 85.2%, a difference of 1.1%), in labor force | age 45-54 (82.4% compared to 83.7%, a difference of 1.5%), and in labor force | age 35-44 (83.8% compared to 85.0%, a difference of 1.5%).

When considering family structure, the most significant differences between Immigrants from Western Asia and Immigrants from Uganda communities in the United States are seen in single father households (2.1% compared to 2.4%, a difference of 15.7%), single mother households (5.7% compared to 6.6%, a difference of 14.7%), and births to unmarried women (27.2% compared to 30.5%, a difference of 12.1%). Conversely, both communities are more comparable in terms of family households with children (27.9% compared to 28.0%, a difference of 0.58%), average family size (3.26 compared to 3.23, a difference of 0.71%), and family households (64.1% compared to 62.7%, a difference of 2.1%).

When considering vehicle availability, the most significant differences between Immigrants from Western Asia and Immigrants from Uganda communities in the United States are seen in no vehicles in household (11.0% compared to 10.0%, a difference of 10.5%), 2 or more vehicles in household (54.1% compared to 55.0%, a difference of 1.6%), and 1 or more vehicles in household (89.0% compared to 90.1%, a difference of 1.2%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (18.4% compared to 18.4%, a difference of 0.090%), 4 or more vehicles in household (5.9% compared to 5.9%, a difference of 0.090%), and 1 or more vehicles in household (89.0% compared to 90.1%, a difference of 1.2%).

When considering education level, the most significant differences between Immigrants from Western Asia and Immigrants from Uganda communities in the United States are seen in professional degree (5.4% compared to 5.0%, a difference of 7.2%), master's degree (17.5% compared to 16.6%, a difference of 4.9%), and bachelor's degree (42.3% compared to 40.7%, a difference of 3.9%). Conversely, both communities are more comparable in terms of 10th grade (93.4% compared to 93.5%, a difference of 0.010%), 11th grade (92.4% compared to 92.3%, a difference of 0.11%), and nursery school (97.7% compared to 97.9%, a difference of 0.18%).

When considering disability, the most significant differences between Immigrants from Western Asia and Immigrants from Uganda communities in the United States are seen in self-care disability (2.6% compared to 2.3%, a difference of 14.6%), disability age 5 to 17 (5.1% compared to 5.8%, a difference of 13.6%), and disability age 18 to 34 (6.1% compared to 6.7%, a difference of 10.6%). Conversely, both communities are more comparable in terms of hearing disability (2.9% compared to 2.9%, a difference of 0.050%), female disability (11.7% compared to 11.8%, a difference of 0.51%), and disability age 65 to 74 (23.0% compared to 22.8%, a difference of 0.93%).