Immigrants from Yemen vs Immigrants from Uganda Community Comparison

The statistical analysis conducted on geographies consisting of 52,626,076 people shows a near-perfect positive correlation between the proportion of Immigrants from Uganda within Immigrant from Yemen communities in the United States with a correlation coefficient (R) of 0.947. On average, for every 1% (one percent) increase in Immigrants from Yemen within a typical geography, there is an increase of 0.102% in Immigrants from Uganda. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Yemen corresponds to an increase of 101.9 Immigrants from Uganda.

When considering income, the most significant differences between Immigrants from Yemen and Immigrants from Uganda communities in the United States are seen in householder income ages 45 - 64 years ($74,575 compared to $103,584, a difference of 38.9%), median family income ($77,457 compared to $106,188, a difference of 37.1%), and median household income ($65,194 compared to $87,553, a difference of 34.3%). Conversely, both communities are more comparable in terms of median female earnings ($34,693 compared to $40,739, a difference of 17.4%), wage/income gap (21.1% compared to 24.9%, a difference of 18.4%), and householder income under 25 years ($43,591 compared to $52,374, a difference of 20.2%).

When considering poverty, the most significant differences between Immigrants from Yemen and Immigrants from Uganda communities in the United States are seen in married-couple family poverty (12.8% compared to 5.2%, a difference of 146.7%), family poverty (17.5% compared to 9.1%, a difference of 92.3%), and receiving food stamps (21.6% compared to 11.9%, a difference of 81.9%). Conversely, both communities are more comparable in terms of single father poverty (20.6% compared to 16.7%, a difference of 23.1%), female poverty among 18-24 year olds (27.5% compared to 20.8%, a difference of 32.3%), and single male poverty (16.9% compared to 12.6%, a difference of 33.8%).

When considering unemployment, the most significant differences between Immigrants from Yemen and Immigrants from Uganda communities in the United States are seen in unemployment among seniors over 75 years (16.5% compared to 8.0%, a difference of 105.6%), unemployment among women with children under 6 years (13.5% compared to 7.4%, a difference of 82.1%), and unemployment among seniors over 65 years (8.2% compared to 4.8%, a difference of 70.6%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (12.7% compared to 10.7%, a difference of 19.3%), unemployment among ages 16 to 19 years (20.0% compared to 16.5%, a difference of 21.3%), and unemployment among ages 25 to 29 years (8.0% compared to 6.5%, a difference of 23.4%).

When considering labor participation, the most significant differences between Immigrants from Yemen and Immigrants from Uganda communities in the United States are seen in in labor force | age 16-19 (31.5% compared to 39.2%, a difference of 24.4%), in labor force | age > 16 (59.6% compared to 67.5%, a difference of 13.2%), and in labor force | age 45-54 (74.4% compared to 83.7%, a difference of 12.4%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (78.2% compared to 85.2%, a difference of 9.0%), in labor force | age 25-29 (78.2% compared to 86.0%, a difference of 9.9%), and in labor force | age 20-24 (68.9% compared to 76.0%, a difference of 10.3%).

When considering family structure, the most significant differences between Immigrants from Yemen and Immigrants from Uganda communities in the United States are seen in single mother households (7.4% compared to 6.6%, a difference of 12.6%), average family size (3.60 compared to 3.23, a difference of 11.2%), and single father households (2.2% compared to 2.4%, a difference of 9.2%). Conversely, both communities are more comparable in terms of family households (63.0% compared to 62.7%, a difference of 0.35%), births to unmarried women (31.7% compared to 30.5%, a difference of 3.8%), and divorced or separated (11.3% compared to 11.7%, a difference of 3.9%).

When considering vehicle availability, the most significant differences between Immigrants from Yemen and Immigrants from Uganda communities in the United States are seen in no vehicles in household (19.5% compared to 10.0%, a difference of 94.8%), 4 or more vehicles in household (4.5% compared to 5.9%, a difference of 32.9%), and 3 or more vehicles in household (14.2% compared to 18.4%, a difference of 29.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (80.5% compared to 90.1%, a difference of 11.8%), 2 or more vehicles in household (42.8% compared to 55.0%, a difference of 28.3%), and 3 or more vehicles in household (14.2% compared to 18.4%, a difference of 29.1%).

When considering education level, the most significant differences between Immigrants from Yemen and Immigrants from Uganda communities in the United States are seen in no schooling completed (4.1% compared to 2.3%, a difference of 78.3%), doctorate degree (1.4% compared to 2.2%, a difference of 54.6%), and professional degree (3.4% compared to 5.0%, a difference of 48.0%). Conversely, both communities are more comparable in terms of kindergarten (95.9% compared to 97.8%, a difference of 2.1%), nursery school (95.9% compared to 97.9%, a difference of 2.1%), and 1st grade (95.8% compared to 97.8%, a difference of 2.1%).

When considering disability, the most significant differences between Immigrants from Yemen and Immigrants from Uganda communities in the United States are seen in self-care disability (3.0% compared to 2.3%, a difference of 31.1%), disability age under 5 (0.91% compared to 1.1%, a difference of 26.7%), and ambulatory disability (7.1% compared to 5.7%, a difference of 25.9%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.9%, a difference of 1.7%), disability age 18 to 34 (7.0% compared to 6.7%, a difference of 3.5%), and cognitive disability (18.8% compared to 18.1%, a difference of 3.8%).