Immigrants from Guyana vs Immigrants from Ghana Community Comparison

The statistical analysis conducted on geographies consisting of 117,661,299 people shows a weak negative correlation between the proportion of Immigrants from Ghana within Immigrant from Guyana communities in the United States with a correlation coefficient (R) of -0.267. On average, for every 1% (one percent) increase in Immigrants from Guyana within a typical geography, there is a decrease of 0.022% in Immigrants from Ghana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Guyana corresponds to a decrease of 22.3 Immigrants from Ghana.

When considering income, the most significant differences between Immigrants from Guyana and Immigrants from Ghana communities in the United States are seen in wage/income gap (18.4% compared to 22.3%, a difference of 21.6%), householder income under 25 years ($55,726 compared to $51,333, a difference of 8.6%), and householder income ages 45 - 64 years ($90,186 compared to $94,982, a difference of 5.3%). Conversely, both communities are more comparable in terms of per capita income ($40,742 compared to $41,131, a difference of 0.95%), median earnings ($45,204 compared to $45,641, a difference of 0.97%), and median household income ($80,324 compared to $81,489, a difference of 1.5%).

When considering poverty, the most significant differences between Immigrants from Guyana and Immigrants from Ghana communities in the United States are seen in receiving food stamps (16.9% compared to 14.1%, a difference of 19.8%), seniors poverty over the age of 65 (14.5% compared to 12.8%, a difference of 13.3%), and seniors poverty over the age of 75 (16.2% compared to 14.4%, a difference of 13.0%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (19.6% compared to 19.6%, a difference of 0.12%), child poverty among boys under 16 (19.5% compared to 19.4%, a difference of 0.32%), and single mother poverty (29.8% compared to 29.9%, a difference of 0.35%).

When considering unemployment, the most significant differences between Immigrants from Guyana and Immigrants from Ghana communities in the United States are seen in unemployment among ages 16 to 19 years (25.5% compared to 19.8%, a difference of 28.7%), unemployment among youth under 25 years (15.9% compared to 13.4%, a difference of 19.1%), and unemployment among ages 30 to 34 years (7.2% compared to 6.1%, a difference of 17.7%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (8.2% compared to 8.3%, a difference of 0.86%), unemployment among ages 65 to 74 years (5.7% compared to 5.6%, a difference of 1.9%), and unemployment among seniors over 75 years (8.8% compared to 9.2%, a difference of 4.3%).

When considering labor participation, the most significant differences between Immigrants from Guyana and Immigrants from Ghana communities in the United States are seen in in labor force | age 16-19 (27.3% compared to 35.4%, a difference of 29.8%), in labor force | age 20-24 (69.3% compared to 74.5%, a difference of 7.6%), and in labor force | age > 16 (64.0% compared to 67.1%, a difference of 4.9%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (83.6% compared to 84.7%, a difference of 1.3%), in labor force | age 30-34 (83.8% compared to 85.2%, a difference of 1.7%), and in labor force | age 45-54 (81.5% compared to 82.9%, a difference of 1.7%).

When considering family structure, the most significant differences between Immigrants from Guyana and Immigrants from Ghana communities in the United States are seen in single father households (2.1% compared to 2.4%, a difference of 14.9%), family households with children (26.3% compared to 28.6%, a difference of 8.5%), and single mother households (7.6% compared to 8.0%, a difference of 5.6%). Conversely, both communities are more comparable in terms of married-couple households (41.6% compared to 41.8%, a difference of 0.52%), births to unmarried women (35.0% compared to 34.5%, a difference of 1.3%), and currently married (41.9% compared to 42.7%, a difference of 1.9%).

When considering vehicle availability, the most significant differences between Immigrants from Guyana and Immigrants from Ghana communities in the United States are seen in no vehicles in household (29.5% compared to 16.6%, a difference of 77.6%), 4 or more vehicles in household (3.4% compared to 5.2%, a difference of 52.3%), and 3 or more vehicles in household (11.2% compared to 16.2%, a difference of 43.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (70.6% compared to 83.4%, a difference of 18.2%), 2 or more vehicles in household (35.0% compared to 47.4%, a difference of 35.3%), and 3 or more vehicles in household (11.2% compared to 16.2%, a difference of 43.7%).

When considering education level, the most significant differences between Immigrants from Guyana and Immigrants from Ghana communities in the United States are seen in doctorate degree (1.3% compared to 1.8%, a difference of 32.2%), no schooling completed (3.1% compared to 2.6%, a difference of 19.8%), and master's degree (13.4% compared to 15.0%, a difference of 11.5%). Conversely, both communities are more comparable in terms of nursery school (96.9% compared to 97.4%, a difference of 0.55%), kindergarten (96.8% compared to 97.4%, a difference of 0.56%), and 3rd grade (96.6% compared to 97.2%, a difference of 0.56%).

When considering disability, the most significant differences between Immigrants from Guyana and Immigrants from Ghana communities in the United States are seen in disability age 18 to 34 (5.5% compared to 6.6%, a difference of 21.1%), disability age under 5 (1.0% compared to 1.2%, a difference of 16.5%), and disability age 5 to 17 (5.2% compared to 5.9%, a difference of 12.7%). Conversely, both communities are more comparable in terms of female disability (12.2% compared to 12.2%, a difference of 0.030%), vision disability (2.2% compared to 2.2%, a difference of 1.0%), and disability (11.4% compared to 11.6%, a difference of 1.3%).