Indian (Asian) vs Immigrants from Uganda Community Comparison

The statistical analysis conducted on geographies consisting of 124,457,413 people shows a weak negative correlation between the proportion of Immigrants from Uganda within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.228. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.001% in Immigrants from Uganda. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 0.8 Immigrants from Uganda.

When considering income, the most significant differences between Indian (Asian) and Immigrants from Uganda communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $95,698, a difference of 24.9%), median household income ($105,262 compared to $87,553, a difference of 20.2%), and per capita income ($53,874 compared to $45,043, a difference of 19.6%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 24.9%, a difference of 6.1%), householder income under 25 years ($58,239 compared to $52,374, a difference of 11.2%), and householder income over 65 years ($70,238 compared to $61,976, a difference of 13.3%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Uganda communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 17.7%, a difference of 31.8%), child poverty among boys under 16 (13.3% compared to 17.0%, a difference of 28.3%), and child poverty under the age of 16 (13.1% compared to 16.8%, a difference of 27.8%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.1% compared to 11.1%, a difference of 0.20%), female poverty among 18-24 year olds (19.6% compared to 20.8%, a difference of 6.2%), and married-couple family poverty (4.8% compared to 5.2%, a difference of 7.6%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Uganda communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.7% compared to 10.7%, a difference of 37.9%), unemployment among women with children under 6 years (6.3% compared to 7.4%, a difference of 17.6%), and unemployment among women with children under 18 years (4.9% compared to 5.7%, a difference of 15.7%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.3% compared to 10.2%, a difference of 0.12%), unemployment among youth under 25 years (11.5% compared to 11.5%, a difference of 0.46%), and unemployment among seniors over 75 years (8.0% compared to 8.0%, a difference of 0.62%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Uganda communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 39.2%, a difference of 23.1%), in labor force | age 20-24 (71.9% compared to 76.0%, a difference of 5.8%), and in labor force | age > 16 (65.5% compared to 67.5%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.2%, a difference of 0.19%), in labor force | age 35-44 (84.8% compared to 85.0%, a difference of 0.28%), and in labor force | age 45-54 (83.3% compared to 83.7%, a difference of 0.43%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Uganda communities in the United States are seen in single mother households (5.1% compared to 6.6%, a difference of 28.6%), single father households (1.9% compared to 2.4%, a difference of 25.0%), and births to unmarried women (25.3% compared to 30.5%, a difference of 20.7%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.23, a difference of 0.28%), family households with children (27.6% compared to 28.0%, a difference of 1.5%), and family households (65.1% compared to 62.7%, a difference of 3.8%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Uganda communities in the United States are seen in no vehicles in household (14.1% compared to 10.0%, a difference of 40.7%), 4 or more vehicles in household (6.4% compared to 5.9%, a difference of 8.6%), and 1 or more vehicles in household (86.0% compared to 90.1%, a difference of 4.7%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (53.1% compared to 55.0%, a difference of 3.5%), 3 or more vehicles in household (19.1% compared to 18.4%, a difference of 4.0%), and 1 or more vehicles in household (86.0% compared to 90.1%, a difference of 4.7%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from Uganda communities in the United States are seen in doctorate degree (2.9% compared to 2.2%, a difference of 31.5%), professional degree (6.5% compared to 5.0%, a difference of 29.3%), and master's degree (20.5% compared to 16.6%, a difference of 22.9%). Conversely, both communities are more comparable in terms of 10th grade (93.4% compared to 93.5%, a difference of 0.050%), nursery school (97.6% compared to 97.9%, a difference of 0.24%), and kindergarten (97.6% compared to 97.8%, a difference of 0.24%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from Uganda communities in the United States are seen in disability age 35 to 64 (8.9% compared to 11.2%, a difference of 26.5%), disability age 5 to 17 (4.6% compared to 5.8%, a difference of 26.0%), and disability age 18 to 34 (5.5% compared to 6.7%, a difference of 21.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.8%, a difference of 0.61%), self-care disability (2.3% compared to 2.3%, a difference of 2.5%), and ambulatory disability (5.4% compared to 5.7%, a difference of 5.6%).