Immigrants from Yemen vs Immigrants from Guyana Community Comparison

The statistical analysis conducted on geographies consisting of 57,841,308 people shows a mild negative correlation between the proportion of Immigrants from Guyana within Immigrant from Yemen communities in the United States with a correlation coefficient (R) of -0.317. On average, for every 1% (one percent) increase in Immigrants from Yemen within a typical geography, there is a decrease of 0.495% in Immigrants from Guyana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Yemen corresponds to a decrease of 495.0 Immigrants from Guyana.

When considering income, the most significant differences between Immigrants from Yemen and Immigrants from Guyana communities in the United States are seen in householder income under 25 years ($43,591 compared to $55,726, a difference of 27.8%), median household income ($65,194 compared to $80,324, a difference of 23.2%), and householder income ages 25 - 44 years ($73,043 compared to $89,586, a difference of 22.7%). Conversely, both communities are more comparable in terms of median male earnings ($44,083 compared to $50,321, a difference of 14.1%), median earnings ($39,540 compared to $45,204, a difference of 14.3%), and wage/income gap (21.1% compared to 18.4%, a difference of 14.7%).

When considering poverty, the most significant differences between Immigrants from Yemen and Immigrants from Guyana communities in the United States are seen in married-couple family poverty (12.8% compared to 6.7%, a difference of 92.4%), family poverty (17.5% compared to 11.2%, a difference of 55.6%), and child poverty among girls under 16 (29.5% compared to 19.3%, a difference of 53.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (16.5% compared to 16.2%, a difference of 1.7%), seniors poverty over the age of 65 (15.9% compared to 14.5%, a difference of 9.8%), and single father poverty (20.6% compared to 16.5%, a difference of 25.0%).

When considering unemployment, the most significant differences between Immigrants from Yemen and Immigrants from Guyana communities in the United States are seen in unemployment among seniors over 75 years (16.5% compared to 8.8%, a difference of 86.4%), unemployment among women with children under 6 years (13.5% compared to 8.2%, a difference of 63.6%), and unemployment among ages 65 to 74 years (8.3% compared to 5.7%, a difference of 45.8%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (7.3% compared to 7.2%, a difference of 0.96%), unemployment among youth under 25 years (15.6% compared to 15.9%, a difference of 2.3%), and unemployment among ages 25 to 29 years (8.0% compared to 8.5%, a difference of 5.8%).

When considering labor participation, the most significant differences between Immigrants from Yemen and Immigrants from Guyana communities in the United States are seen in in labor force | age 16-19 (31.5% compared to 27.3%, a difference of 15.6%), in labor force | age 35-44 (76.3% compared to 83.6%, a difference of 9.6%), and in labor force | age 45-54 (74.4% compared to 81.5%, a difference of 9.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (68.9% compared to 69.3%, a difference of 0.52%), in labor force | age 25-29 (78.2% compared to 83.0%, a difference of 6.0%), and in labor force | age 30-34 (78.2% compared to 83.8%, a difference of 7.2%).

When considering family structure, the most significant differences between Immigrants from Yemen and Immigrants from Guyana communities in the United States are seen in family households with children (29.4% compared to 26.3%, a difference of 11.7%), births to unmarried women (31.7% compared to 35.0%, a difference of 10.4%), and average family size (3.60 compared to 3.40, a difference of 5.7%). Conversely, both communities are more comparable in terms of currently married (42.1% compared to 41.9%, a difference of 0.41%), married-couple households (42.0% compared to 41.6%, a difference of 1.0%), and single mother households (7.4% compared to 7.6%, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Immigrants from Yemen and Immigrants from Guyana communities in the United States are seen in no vehicles in household (19.5% compared to 29.5%, a difference of 51.4%), 4 or more vehicles in household (4.5% compared to 3.4%, a difference of 31.2%), and 3 or more vehicles in household (14.2% compared to 11.2%, a difference of 26.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (80.5% compared to 70.6%, a difference of 14.1%), 2 or more vehicles in household (42.8% compared to 35.0%, a difference of 22.4%), and 3 or more vehicles in household (14.2% compared to 11.2%, a difference of 26.7%).

When considering education level, the most significant differences between Immigrants from Yemen and Immigrants from Guyana communities in the United States are seen in no schooling completed (4.1% compared to 3.1%, a difference of 32.2%), master's degree (11.6% compared to 13.4%, a difference of 16.4%), and bachelor's degree (29.9% compared to 33.9%, a difference of 13.5%). Conversely, both communities are more comparable in terms of kindergarten (95.9% compared to 96.8%, a difference of 1.0%), 1st grade (95.8% compared to 96.8%, a difference of 1.0%), and 2nd grade (95.7% compared to 96.7%, a difference of 1.1%).

When considering disability, the most significant differences between Immigrants from Yemen and Immigrants from Guyana communities in the United States are seen in disability age 18 to 34 (7.0% compared to 5.5%, a difference of 27.0%), disability age 35 to 64 (14.0% compared to 11.1%, a difference of 26.7%), and hearing disability (2.8% compared to 2.3%, a difference of 21.5%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.3% compared to 5.2%, a difference of 2.0%), ambulatory disability (7.1% compared to 6.7%, a difference of 6.2%), and female disability (13.2% compared to 12.2%, a difference of 8.0%).