Immigrants from Middle Africa vs Sierra Leonean Community Comparison

The statistical analysis conducted on geographies consisting of 69,280,032 people shows a slight positive correlation between the proportion of Sierra Leoneans within Immigrant from Middle Africa communities in the United States with a correlation coefficient (R) of 0.059. On average, for every 1% (one percent) increase in Immigrants from Middle Africa within a typical geography, there is an increase of 0.013% in Sierra Leoneans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Middle Africa corresponds to an increase of 13.2 Sierra Leoneans.

When considering income, the most significant differences between Immigrants from Middle Africa and Sierra Leonean communities in the United States are seen in householder income under 25 years ($47,916 compared to $57,272, a difference of 19.5%), median household income ($77,559 compared to $88,463, a difference of 14.1%), and householder income ages 25 - 44 years ($82,254 compared to $93,435, a difference of 13.6%). Conversely, both communities are more comparable in terms of wage/income gap (22.4% compared to 21.4%, a difference of 4.3%), per capita income ($39,529 compared to $43,405, a difference of 9.8%), and median male earnings ($49,201 compared to $54,279, a difference of 10.3%).

When considering poverty, the most significant differences between Immigrants from Middle Africa and Sierra Leonean communities in the United States are seen in female poverty among 18-24 year olds (22.1% compared to 19.0%, a difference of 16.0%), single female poverty (22.3% compared to 19.7%, a difference of 12.9%), and female poverty among 25-34 year olds (14.8% compared to 13.2%, a difference of 12.2%). Conversely, both communities are more comparable in terms of single male poverty (12.7% compared to 12.6%, a difference of 0.51%), married-couple family poverty (5.4% compared to 5.1%, a difference of 5.2%), and seniors poverty over the age of 65 (11.1% compared to 10.5%, a difference of 5.6%).

When considering unemployment, the most significant differences between Immigrants from Middle Africa and Sierra Leonean communities in the United States are seen in unemployment among ages 55 to 59 years (4.5% compared to 5.5%, a difference of 20.6%), unemployment among ages 16 to 19 years (17.1% compared to 19.7%, a difference of 15.3%), and male unemployment (5.5% compared to 6.2%, a difference of 12.4%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.8% compared to 5.8%, a difference of 0.54%), unemployment among ages 45 to 54 years (4.4% compared to 4.5%, a difference of 2.1%), and unemployment among ages 35 to 44 years (4.8% compared to 4.9%, a difference of 3.0%).

When considering labor participation, the most significant differences between Immigrants from Middle Africa and Sierra Leonean communities in the United States are seen in in labor force | age 16-19 (39.9% compared to 37.6%, a difference of 6.3%), in labor force | age 35-44 (84.9% compared to 86.4%, a difference of 1.8%), and in labor force | age > 16 (67.7% compared to 68.9%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.6% compared to 76.3%, a difference of 0.41%), in labor force | age 25-29 (85.0% compared to 85.8%, a difference of 0.87%), and in labor force | age 30-34 (85.2% compared to 86.0%, a difference of 0.94%).

When considering family structure, the most significant differences between Immigrants from Middle Africa and Sierra Leonean communities in the United States are seen in divorced or separated (12.7% compared to 12.1%, a difference of 4.4%), family households (61.9% compared to 63.9%, a difference of 3.2%), and family households with children (28.0% compared to 28.9%, a difference of 3.2%). Conversely, both communities are more comparable in terms of single mother households (7.7% compared to 7.7%, a difference of 0.15%), births to unmarried women (34.9% compared to 34.9%, a difference of 0.25%), and currently married (43.0% compared to 43.4%, a difference of 1.0%).

When considering vehicle availability, the most significant differences between Immigrants from Middle Africa and Sierra Leonean communities in the United States are seen in no vehicles in household (10.2% compared to 11.0%, a difference of 8.1%), 4 or more vehicles in household (5.8% compared to 5.9%, a difference of 1.6%), and 2 or more vehicles in household (53.4% compared to 52.9%, a difference of 0.96%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (18.2% compared to 18.3%, a difference of 0.46%), 1 or more vehicles in household (89.9% compared to 89.0%, a difference of 0.94%), and 2 or more vehicles in household (53.4% compared to 52.9%, a difference of 0.96%).

When considering education level, the most significant differences between Immigrants from Middle Africa and Sierra Leonean communities in the United States are seen in master's degree (14.6% compared to 16.8%, a difference of 15.0%), bachelor's degree (36.6% compared to 40.1%, a difference of 9.6%), and professional degree (4.2% compared to 4.5%, a difference of 7.0%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.7%, a difference of 0.090%), kindergarten (97.6% compared to 97.7%, a difference of 0.10%), and 1st grade (97.6% compared to 97.7%, a difference of 0.10%).

When considering disability, the most significant differences between Immigrants from Middle Africa and Sierra Leonean communities in the United States are seen in disability age 35 to 64 (12.0% compared to 10.8%, a difference of 11.0%), hearing disability (2.8% compared to 2.5%, a difference of 10.4%), and male disability (11.1% compared to 10.5%, a difference of 5.1%). Conversely, both communities are more comparable in terms of disability age over 75 (47.1% compared to 47.4%, a difference of 0.62%), self-care disability (2.3% compared to 2.4%, a difference of 0.86%), and disability age 18 to 34 (6.9% compared to 6.8%, a difference of 2.2%).