Immigrants from Guyana vs Immigrants from Ethiopia Community Comparison

The statistical analysis conducted on geographies consisting of 111,375,500 people shows a mild negative correlation between the proportion of Immigrants from Ethiopia within Immigrant from Guyana communities in the United States with a correlation coefficient (R) of -0.369. On average, for every 1% (one percent) increase in Immigrants from Guyana within a typical geography, there is a decrease of 0.060% in Immigrants from Ethiopia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Guyana corresponds to a decrease of 60.2 Immigrants from Ethiopia.

When considering income, the most significant differences between Immigrants from Guyana and Immigrants from Ethiopia communities in the United States are seen in wage/income gap (18.4% compared to 21.6%, a difference of 17.5%), median family income ($92,513 compared to $106,969, a difference of 15.6%), and householder income over 65 years ($56,495 compared to $65,238, a difference of 15.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($55,726 compared to $53,408, a difference of 4.3%), median female earnings ($40,773 compared to $42,744, a difference of 4.8%), and householder income ages 25 - 44 years ($89,586 compared to $95,256, a difference of 6.3%).

When considering poverty, the most significant differences between Immigrants from Guyana and Immigrants from Ethiopia communities in the United States are seen in receiving food stamps (16.9% compared to 10.7%, a difference of 58.0%), seniors poverty over the age of 75 (16.2% compared to 11.6%, a difference of 39.9%), and seniors poverty over the age of 65 (14.5% compared to 10.7%, a difference of 35.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.3% compared to 20.2%, a difference of 4.6%), single female poverty (21.0% compared to 20.0%, a difference of 4.9%), and single mother poverty (29.8% compared to 27.7%, a difference of 7.4%).

When considering unemployment, the most significant differences between Immigrants from Guyana and Immigrants from Ethiopia communities in the United States are seen in unemployment among ages 20 to 24 years (13.9% compared to 9.6%, a difference of 44.7%), unemployment among ages 30 to 34 years (7.2% compared to 5.0%, a difference of 43.9%), and unemployment among ages 16 to 19 years (25.5% compared to 17.8%, a difference of 43.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.8% compared to 8.8%, a difference of 0.37%), unemployment among women with children ages 6 to 17 years (8.9% compared to 8.8%, a difference of 1.8%), and unemployment among ages 65 to 74 years (5.7% compared to 5.1%, a difference of 10.6%).

When considering labor participation, the most significant differences between Immigrants from Guyana and Immigrants from Ethiopia communities in the United States are seen in in labor force | age 16-19 (27.3% compared to 38.6%, a difference of 41.4%), in labor force | age 20-24 (69.3% compared to 77.5%, a difference of 11.9%), and in labor force | age > 16 (64.0% compared to 69.4%, a difference of 8.5%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (83.6% compared to 85.9%, a difference of 2.7%), in labor force | age 30-34 (83.8% compared to 86.6%, a difference of 3.3%), and in labor force | age 25-29 (83.0% compared to 86.1%, a difference of 3.8%).

When considering family structure, the most significant differences between Immigrants from Guyana and Immigrants from Ethiopia communities in the United States are seen in births to unmarried women (35.0% compared to 29.7%, a difference of 17.7%), single mother households (7.6% compared to 6.6%, a difference of 14.3%), and single father households (2.1% compared to 2.4%, a difference of 14.1%). Conversely, both communities are more comparable in terms of married-couple households (41.6% compared to 43.1%, a difference of 3.6%), divorced or separated (11.6% compared to 12.1%, a difference of 4.0%), and average family size (3.40 compared to 3.25, a difference of 4.7%).

When considering vehicle availability, the most significant differences between Immigrants from Guyana and Immigrants from Ethiopia communities in the United States are seen in no vehicles in household (29.5% compared to 10.4%, a difference of 182.7%), 4 or more vehicles in household (3.4% compared to 5.7%, a difference of 68.8%), and 3 or more vehicles in household (11.2% compared to 17.9%, a difference of 59.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (70.6% compared to 89.6%, a difference of 27.0%), 2 or more vehicles in household (35.0% compared to 53.0%, a difference of 51.5%), and 3 or more vehicles in household (11.2% compared to 17.9%, a difference of 59.2%).

When considering education level, the most significant differences between Immigrants from Guyana and Immigrants from Ethiopia communities in the United States are seen in doctorate degree (1.3% compared to 2.4%, a difference of 76.4%), professional degree (3.7% compared to 5.3%, a difference of 45.8%), and master's degree (13.4% compared to 17.9%, a difference of 33.3%). Conversely, both communities are more comparable in terms of nursery school (96.9% compared to 97.6%, a difference of 0.70%), 3rd grade (96.6% compared to 97.3%, a difference of 0.71%), and kindergarten (96.8% compared to 97.5%, a difference of 0.72%).

When considering disability, the most significant differences between Immigrants from Guyana and Immigrants from Ethiopia communities in the United States are seen in self-care disability (2.8% compared to 2.2%, a difference of 26.1%), ambulatory disability (6.7% compared to 5.4%, a difference of 25.3%), and hearing disability (2.3% compared to 2.7%, a difference of 15.3%). Conversely, both communities are more comparable in terms of disability age over 75 (47.1% compared to 46.8%, a difference of 0.66%), disability age 5 to 17 (5.2% compared to 5.4%, a difference of 3.3%), and cognitive disability (17.3% compared to 17.9%, a difference of 3.4%).