Immigrants from Sierra Leone vs Bangladeshi Community Comparison

The statistical analysis conducted on geographies consisting of 57,995,492 people shows a poor negative correlation between the proportion of Bangladeshis within Immigrant from Sierra Leone communities in the United States with a correlation coefficient (R) of -0.140. On average, for every 1% (one percent) increase in Immigrants from Sierra Leone within a typical geography, there is a decrease of 1.151% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Sierra Leone corresponds to a decrease of 1,151.1 Bangladeshis.

When considering income, the most significant differences between Immigrants from Sierra Leone and Bangladeshi communities in the United States are seen in householder income over 65 years ($66,009 compared to $54,719, a difference of 20.6%), householder income ages 45 - 64 years ($103,227 compared to $86,402, a difference of 19.5%), and median household income ($88,498 compared to $74,112, a difference of 19.4%). Conversely, both communities are more comparable in terms of wage/income gap (21.4% compared to 22.2%, a difference of 3.4%), householder income under 25 years ($54,190 compared to $47,589, a difference of 13.9%), and householder income ages 25 - 44 years ($93,115 compared to $81,363, a difference of 14.4%).

When considering poverty, the most significant differences between Immigrants from Sierra Leone and Bangladeshi communities in the United States are seen in single female poverty (19.4% compared to 24.2%, a difference of 24.5%), receiving food stamps (12.5% compared to 15.0%, a difference of 20.1%), and female poverty among 25-34 year olds (13.3% compared to 15.9%, a difference of 20.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.9% compared to 12.0%, a difference of 0.79%), seniors poverty over the age of 65 (10.7% compared to 11.2%, a difference of 4.6%), and single male poverty (12.5% compared to 13.3%, a difference of 6.8%).

When considering unemployment, the most significant differences between Immigrants from Sierra Leone and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.0% compared to 7.4%, a difference of 22.1%), unemployment among ages 20 to 24 years (12.1% compared to 10.0%, a difference of 21.4%), and unemployment among youth under 25 years (13.8% compared to 11.6%, a difference of 19.4%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.6% compared to 4.5%, a difference of 1.1%), unemployment among seniors over 65 years (5.4% compared to 5.2%, a difference of 3.5%), and unemployment among ages 35 to 44 years (4.9% compared to 4.8%, a difference of 3.6%).

When considering labor participation, the most significant differences between Immigrants from Sierra Leone and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (37.3% compared to 42.5%, a difference of 13.8%), in labor force | age > 16 (68.5% compared to 65.9%, a difference of 3.8%), and in labor force | age 45-54 (84.4% compared to 81.3%, a difference of 3.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.7% compared to 85.1%, a difference of 0.70%), in labor force | age 30-34 (86.0% compared to 84.3%, a difference of 2.0%), and in labor force | age 35-44 (86.1% compared to 84.1%, a difference of 2.3%).

When considering family structure, the most significant differences between Immigrants from Sierra Leone and Bangladeshi communities in the United States are seen in single father households (2.5% compared to 3.1%, a difference of 25.0%), single mother households (7.7% compared to 8.1%, a difference of 6.2%), and family households with children (29.3% compared to 30.1%, a difference of 2.7%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.3%, a difference of 0.11%), currently married (43.8% compared to 43.7%, a difference of 0.25%), and married-couple households (43.3% compared to 43.5%, a difference of 0.48%).

When considering vehicle availability, the most significant differences between Immigrants from Sierra Leone and Bangladeshi communities in the United States are seen in no vehicles in household (11.3% compared to 8.7%, a difference of 31.0%), 4 or more vehicles in household (6.1% compared to 7.6%, a difference of 23.6%), and 3 or more vehicles in household (18.7% compared to 21.9%, a difference of 16.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.7% compared to 91.4%, a difference of 3.0%), 2 or more vehicles in household (53.2% compared to 58.4%, a difference of 9.8%), and 3 or more vehicles in household (18.7% compared to 21.9%, a difference of 16.8%).

When considering education level, the most significant differences between Immigrants from Sierra Leone and Bangladeshi communities in the United States are seen in doctorate degree (2.0% compared to 1.2%, a difference of 64.2%), master's degree (16.3% compared to 10.5%, a difference of 55.5%), and professional degree (4.5% compared to 3.1%, a difference of 44.5%). Conversely, both communities are more comparable in terms of 6th grade (96.4% compared to 95.7%, a difference of 0.82%), 5th grade (96.8% compared to 95.9%, a difference of 0.90%), and 8th grade (95.1% compared to 94.3%, a difference of 0.94%).

When considering disability, the most significant differences between Immigrants from Sierra Leone and Bangladeshi communities in the United States are seen in hearing disability (2.6% compared to 3.2%, a difference of 24.1%), disability age 35 to 64 (11.0% compared to 13.6%, a difference of 23.8%), and self-care disability (2.4% compared to 2.8%, a difference of 17.6%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.8% compared to 5.8%, a difference of 0.50%), disability age under 5 (1.3% compared to 1.3%, a difference of 2.5%), and disability age over 75 (47.2% compared to 49.4%, a difference of 4.8%).