Immigrants from Sudan vs Immigrants from Guyana Community Comparison

The statistical analysis conducted on geographies consisting of 79,434,534 people shows a poor negative correlation between the proportion of Immigrants from Guyana within Immigrant from Sudan communities in the United States with a correlation coefficient (R) of -0.169. On average, for every 1% (one percent) increase in Immigrants from Sudan within a typical geography, there is a decrease of 0.029% in Immigrants from Guyana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Sudan corresponds to a decrease of 28.6 Immigrants from Guyana.

When considering income, the most significant differences between Immigrants from Sudan and Immigrants from Guyana communities in the United States are seen in wage/income gap (23.6% compared to 18.4%, a difference of 28.8%), householder income under 25 years ($46,791 compared to $55,726, a difference of 19.1%), and median female earnings ($38,511 compared to $40,773, a difference of 5.9%). Conversely, both communities are more comparable in terms of median earnings ($44,767 compared to $45,204, a difference of 0.98%), median household income ($79,103 compared to $80,324, a difference of 1.5%), and median male earnings ($51,489 compared to $50,321, a difference of 2.3%).

When considering poverty, the most significant differences between Immigrants from Sudan and Immigrants from Guyana communities in the United States are seen in receiving food stamps (12.1% compared to 16.9%, a difference of 39.2%), seniors poverty over the age of 75 (12.1% compared to 16.2%, a difference of 34.4%), and seniors poverty over the age of 65 (10.9% compared to 14.5%, a difference of 32.2%). Conversely, both communities are more comparable in terms of single male poverty (12.7% compared to 12.7%, a difference of 0.13%), female poverty among 25-34 year olds (14.4% compared to 14.3%, a difference of 1.0%), and single mother poverty (30.1% compared to 29.8%, a difference of 1.1%).

When considering unemployment, the most significant differences between Immigrants from Sudan and Immigrants from Guyana communities in the United States are seen in unemployment among ages 16 to 19 years (16.0% compared to 25.5%, a difference of 59.1%), unemployment among youth under 25 years (10.5% compared to 15.9%, a difference of 51.1%), and unemployment among ages 20 to 24 years (9.3% compared to 13.9%, a difference of 50.2%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (8.0% compared to 8.2%, a difference of 3.2%), unemployment among seniors over 75 years (9.2% compared to 8.8%, a difference of 4.1%), and unemployment among ages 65 to 74 years (5.2% compared to 5.7%, a difference of 9.7%).

When considering labor participation, the most significant differences between Immigrants from Sudan and Immigrants from Guyana communities in the United States are seen in in labor force | age 16-19 (41.0% compared to 27.3%, a difference of 50.3%), in labor force | age 20-24 (76.8% compared to 69.3%, a difference of 10.9%), and in labor force | age > 16 (67.7% compared to 64.0%, a difference of 5.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.8% compared to 83.8%, a difference of 1.2%), in labor force | age 35-44 (84.9% compared to 83.6%, a difference of 1.5%), and in labor force | age 45-54 (82.8% compared to 81.5%, a difference of 1.6%).

When considering family structure, the most significant differences between Immigrants from Sudan and Immigrants from Guyana communities in the United States are seen in single father households (2.4% compared to 2.1%, a difference of 12.0%), single mother households (6.9% compared to 7.6%, a difference of 9.8%), and family households (60.2% compared to 65.5%, a difference of 8.9%). Conversely, both communities are more comparable in terms of married-couple households (41.9% compared to 41.6%, a difference of 0.93%), family households with children (27.3% compared to 26.3%, a difference of 3.5%), and currently married (43.5% compared to 41.9%, a difference of 3.9%).

When considering vehicle availability, the most significant differences between Immigrants from Sudan and Immigrants from Guyana communities in the United States are seen in no vehicles in household (10.4% compared to 29.5%, a difference of 183.5%), 4 or more vehicles in household (5.5% compared to 3.4%, a difference of 62.3%), and 3 or more vehicles in household (17.6% compared to 11.2%, a difference of 56.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.7% compared to 70.6%, a difference of 27.0%), 2 or more vehicles in household (52.8% compared to 35.0%, a difference of 50.8%), and 3 or more vehicles in household (17.6% compared to 11.2%, a difference of 56.1%).

When considering education level, the most significant differences between Immigrants from Sudan and Immigrants from Guyana communities in the United States are seen in doctorate degree (2.2% compared to 1.3%, a difference of 61.8%), no schooling completed (2.3% compared to 3.1%, a difference of 35.8%), and professional degree (4.9% compared to 3.7%, a difference of 33.5%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 96.9%, a difference of 0.88%), 3rd grade (97.5% compared to 96.6%, a difference of 0.89%), and kindergarten (97.7% compared to 96.8%, a difference of 0.91%).

When considering disability, the most significant differences between Immigrants from Sudan and Immigrants from Guyana communities in the United States are seen in hearing disability (2.9% compared to 2.3%, a difference of 23.2%), disability age 18 to 34 (6.7% compared to 5.5%, a difference of 22.7%), and disability age under 5 (1.3% compared to 1.0%, a difference of 22.6%). Conversely, both communities are more comparable in terms of disability (11.5% compared to 11.4%, a difference of 0.30%), disability age 65 to 74 (23.8% compared to 23.6%, a difference of 0.85%), and disability age over 75 (47.5% compared to 47.1%, a difference of 0.96%).