Immigrants from Middle Africa vs Guyanese Community Comparison

The statistical analysis conducted on geographies consisting of 112,456,166 people shows a moderate positive correlation between the proportion of Guyanese within Immigrant from Middle Africa communities in the United States with a correlation coefficient (R) of 0.470. On average, for every 1% (one percent) increase in Immigrants from Middle Africa within a typical geography, there is an increase of 0.092% in Guyanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Middle Africa corresponds to an increase of 91.9 Guyanese.

When considering income, the most significant differences between Immigrants from Middle Africa and Guyanese communities in the United States are seen in wage/income gap (22.4% compared to 18.3%, a difference of 22.2%), householder income under 25 years ($47,916 compared to $55,210, a difference of 15.2%), and householder income ages 25 - 44 years ($82,254 compared to $89,940, a difference of 9.3%). Conversely, both communities are more comparable in terms of median family income ($93,593 compared to $93,373, a difference of 0.23%), householder income ages 45 - 64 years ($91,293 compared to $90,966, a difference of 0.36%), and median male earnings ($49,201 compared to $50,613, a difference of 2.9%).

When considering poverty, the most significant differences between Immigrants from Middle Africa and Guyanese communities in the United States are seen in seniors poverty over the age of 75 (12.1% compared to 16.1%, a difference of 33.5%), seniors poverty over the age of 65 (11.1% compared to 14.4%, a difference of 30.4%), and receiving food stamps (12.9% compared to 16.7%, a difference of 29.4%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (19.7% compared to 19.7%, a difference of 0.030%), child poverty among girls under 16 (19.2% compared to 19.4%, a difference of 0.59%), and single male poverty (12.7% compared to 12.8%, a difference of 0.71%).

When considering unemployment, the most significant differences between Immigrants from Middle Africa and Guyanese communities in the United States are seen in unemployment among ages 16 to 19 years (17.1% compared to 24.8%, a difference of 45.2%), unemployment among ages 30 to 34 years (5.3% compared to 7.2%, a difference of 36.1%), and unemployment among ages 20 to 24 years (10.4% compared to 14.0%, a difference of 34.1%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.1% compared to 9.1%, a difference of 0.45%), unemployment among women with children under 6 years (8.1% compared to 8.2%, a difference of 1.9%), and unemployment among ages 65 to 74 years (5.2% compared to 5.6%, a difference of 9.0%).

When considering labor participation, the most significant differences between Immigrants from Middle Africa and Guyanese communities in the United States are seen in in labor force | age 16-19 (39.9% compared to 27.4%, a difference of 45.5%), in labor force | age 20-24 (76.6% compared to 69.2%, a difference of 10.8%), and in labor force | age > 16 (67.7% compared to 64.1%, a difference of 5.7%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.9% compared to 83.8%, a difference of 1.3%), in labor force | age 30-34 (85.2% compared to 83.8%, a difference of 1.6%), and in labor force | age 45-54 (83.3% compared to 81.5%, a difference of 2.1%).

When considering family structure, the most significant differences between Immigrants from Middle Africa and Guyanese communities in the United States are seen in single father households (2.5% compared to 2.1%, a difference of 16.5%), divorced or separated (12.7% compared to 11.5%, a difference of 9.9%), and family households with children (28.0% compared to 26.3%, a difference of 6.3%). Conversely, both communities are more comparable in terms of births to unmarried women (34.9% compared to 35.2%, a difference of 0.68%), married-couple households (41.8% compared to 41.4%, a difference of 1.1%), and single mother households (7.7% compared to 7.6%, a difference of 1.6%).

When considering vehicle availability, the most significant differences between Immigrants from Middle Africa and Guyanese communities in the United States are seen in no vehicles in household (10.2% compared to 29.3%, a difference of 188.0%), 4 or more vehicles in household (5.8% compared to 3.5%, a difference of 66.1%), and 3 or more vehicles in household (18.2% compared to 11.5%, a difference of 59.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.9% compared to 70.8%, a difference of 26.9%), 2 or more vehicles in household (53.4% compared to 35.4%, a difference of 51.0%), and 3 or more vehicles in household (18.2% compared to 11.5%, a difference of 59.2%).

When considering education level, the most significant differences between Immigrants from Middle Africa and Guyanese communities in the United States are seen in doctorate degree (1.9% compared to 1.4%, a difference of 37.1%), no schooling completed (2.4% compared to 3.0%, a difference of 26.3%), and professional degree (4.2% compared to 3.8%, a difference of 12.1%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.0%, a difference of 0.68%), kindergarten (97.6% compared to 96.9%, a difference of 0.69%), and 1st grade (97.6% compared to 96.9%, a difference of 0.70%).

When considering disability, the most significant differences between Immigrants from Middle Africa and Guyanese communities in the United States are seen in disability age 18 to 34 (6.9% compared to 5.5%, a difference of 25.7%), hearing disability (2.8% compared to 2.3%, a difference of 20.8%), and disability age under 5 (1.2% compared to 1.0%, a difference of 18.5%). Conversely, both communities are more comparable in terms of female disability (12.1% compared to 12.1%, a difference of 0.34%), vision disability (2.2% compared to 2.2%, a difference of 0.34%), and disability age over 75 (47.1% compared to 46.9%, a difference of 0.52%).