Immigrants from Ghana vs Immigrants from Guyana Community Comparison

The statistical analysis conducted on geographies consisting of 117,602,829 people shows a poor positive correlation between the proportion of Immigrants from Guyana within Immigrant from Ghana communities in the United States with a correlation coefficient (R) of 0.152. On average, for every 1% (one percent) increase in Immigrants from Ghana within a typical geography, there is an increase of 0.061% in Immigrants from Guyana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Ghana corresponds to an increase of 61.0 Immigrants from Guyana.

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

When considering poverty, the most significant differences between Immigrants from Ghana and Immigrants from Guyana communities in the United States are seen in receiving food stamps (14.1% compared to 16.9%, a difference of 19.8%), seniors poverty over the age of 65 (12.8% compared to 14.5%, a difference of 13.3%), and seniors poverty over the age of 75 (14.4% compared to 16.2%, 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 (19.4% compared to 19.5%, a difference of 0.32%), and single mother poverty (29.9% compared to 29.8%, a difference of 0.35%).

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

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

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

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

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

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