Immigrants from Uganda vs Immigrants from Asia Community Comparison

The statistical analysis conducted on geographies consisting of 125,862,897 people shows a poor negative correlation between the proportion of Immigrants from Asia within Immigrant from Uganda communities in the United States with a correlation coefficient (R) of -0.133. On average, for every 1% (one percent) increase in Immigrants from Uganda within a typical geography, there is a decrease of 0.393% in Immigrants from Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Uganda corresponds to a decrease of 393.0 Immigrants from Asia.

When considering income, the most significant differences between Immigrants from Uganda and Immigrants from Asia communities in the United States are seen in householder income ages 25 - 44 years ($95,698 compared to $110,787, a difference of 15.8%), median household income ($87,553 compared to $99,933, a difference of 14.1%), and median male earnings ($56,064 compared to $63,240, a difference of 12.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,374 compared to $56,379, a difference of 7.6%), wage/income gap (24.9% compared to 27.0%, a difference of 8.2%), and median female earnings ($40,739 compared to $44,198, a difference of 8.5%).

When considering poverty, the most significant differences between Immigrants from Uganda and Immigrants from Asia communities in the United States are seen in child poverty under the age of 5 (17.7% compared to 14.4%, a difference of 23.2%), child poverty among boys under 16 (17.0% compared to 13.9%, a difference of 22.1%), and child poverty under the age of 16 (16.8% compared to 13.8%, a difference of 21.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.8% compared to 12.2%, a difference of 3.8%), seniors poverty over the age of 65 (11.1% compared to 10.6%, a difference of 5.0%), and married-couple family poverty (5.2% compared to 4.8%, a difference of 7.2%).

When considering unemployment, the most significant differences between Immigrants from Uganda and Immigrants from Asia communities in the United States are seen in unemployment among women with children ages 6 to 17 years (10.7% compared to 8.1%, a difference of 31.9%), unemployment among women with children under 18 years (5.7% compared to 5.1%, a difference of 10.5%), and unemployment among women with children under 6 years (7.4% compared to 6.8%, a difference of 9.3%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.2% compared to 10.3%, a difference of 0.17%), unemployment among youth under 25 years (11.5% compared to 11.5%, a difference of 0.39%), and female unemployment (5.3% compared to 5.2%, a difference of 0.85%).

When considering labor participation, the most significant differences between Immigrants from Uganda and Immigrants from Asia communities in the United States are seen in in labor force | age 16-19 (39.2% compared to 34.1%, a difference of 14.9%), in labor force | age 20-24 (76.0% compared to 73.6%, a difference of 3.3%), and in labor force | age > 16 (67.5% compared to 66.1%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.2% compared to 85.0%, a difference of 0.26%), in labor force | age 45-54 (83.7% compared to 83.3%, a difference of 0.43%), and in labor force | age 35-44 (85.0% compared to 84.5%, a difference of 0.58%).

When considering family structure, the most significant differences between Immigrants from Uganda and Immigrants from Asia communities in the United States are seen in single mother households (6.6% compared to 5.6%, a difference of 17.2%), single father households (2.4% compared to 2.1%, a difference of 14.2%), and births to unmarried women (30.5% compared to 26.8%, a difference of 13.9%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.27, a difference of 1.1%), family households with children (28.0% compared to 28.8%, a difference of 2.9%), and family households (62.7% compared to 66.1%, a difference of 5.3%).

When considering vehicle availability, the most significant differences between Immigrants from Uganda and Immigrants from Asia communities in the United States are seen in 4 or more vehicles in household (5.9% compared to 6.8%, a difference of 14.4%), 3 or more vehicles in household (18.4% compared to 20.2%, a difference of 10.1%), and no vehicles in household (10.0% compared to 10.9%, a difference of 8.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 89.3%, a difference of 0.88%), 2 or more vehicles in household (55.0% compared to 56.3%, a difference of 2.5%), and no vehicles in household (10.0% compared to 10.9%, a difference of 8.7%).

When considering education level, the most significant differences between Immigrants from Uganda and Immigrants from Asia communities in the United States are seen in master's degree (16.6% compared to 18.4%, a difference of 10.7%), doctorate degree (2.2% compared to 2.4%, a difference of 9.6%), and professional degree (5.0% compared to 5.5%, a difference of 9.1%). Conversely, both communities are more comparable in terms of 10th grade (93.5% compared to 93.4%, a difference of 0.080%), 11th grade (92.3% compared to 92.4%, a difference of 0.14%), and nursery school (97.9% compared to 97.6%, a difference of 0.26%).

When considering disability, the most significant differences between Immigrants from Uganda and Immigrants from Asia communities in the United States are seen in disability age 5 to 17 (5.8% compared to 4.8%, a difference of 18.6%), disability age 35 to 64 (11.2% compared to 9.5%, a difference of 18.1%), and disability age 18 to 34 (6.7% compared to 5.9%, a difference of 14.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.8% compared to 47.0%, a difference of 0.49%), ambulatory disability (5.7% compared to 5.5%, a difference of 3.5%), and self-care disability (2.3% compared to 2.4%, a difference of 3.7%).