Sierra Leonean vs Immigrants from Bangladesh Community Comparison

The statistical analysis conducted on geographies consisting of 65,905,773 people shows a weak positive correlation between the proportion of Immigrants from Bangladesh within Sierra Leonean communities in the United States with a correlation coefficient (R) of 0.226. On average, for every 1% (one percent) increase in Sierra Leoneans within a typical geography, there is an increase of 0.073% in Immigrants from Bangladesh. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sierra Leoneans corresponds to an increase of 73.1 Immigrants from Bangladesh.

When considering income, the most significant differences between Sierra Leonean and Immigrants from Bangladesh communities in the United States are seen in householder income over 65 years ($65,038 compared to $55,394, a difference of 17.4%), householder income ages 45 - 64 years ($102,427 compared to $92,208, a difference of 11.1%), and median family income ($103,859 compared to $94,665, a difference of 9.7%). Conversely, both communities are more comparable in terms of wage/income gap (21.4% compared to 20.9%, a difference of 2.4%), householder income ages 25 - 44 years ($93,435 compared to $90,448, a difference of 3.3%), and per capita income ($43,405 compared to $41,709, a difference of 4.1%).

When considering poverty, the most significant differences between Sierra Leonean and Immigrants from Bangladesh communities in the United States are seen in married-couple family poverty (5.1% compared to 7.5%, a difference of 45.9%), seniors poverty over the age of 75 (11.4% compared to 15.8%, a difference of 38.7%), and seniors poverty over the age of 65 (10.5% compared to 14.1%, a difference of 34.3%). Conversely, both communities are more comparable in terms of single male poverty (12.6% compared to 13.0%, a difference of 3.2%), single father poverty (17.2% compared to 16.3%, a difference of 5.6%), and female poverty among 25-34 year olds (13.2% compared to 14.8%, a difference of 12.0%).

When considering unemployment, the most significant differences between Sierra Leonean and Immigrants from Bangladesh communities in the United States are seen in unemployment among ages 60 to 64 years (4.9% compared to 6.0%, a difference of 20.8%), unemployment among ages 45 to 54 years (4.5% compared to 5.4%, a difference of 18.6%), and female unemployment (5.5% compared to 6.5%, a difference of 16.8%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.2% compared to 9.1%, a difference of 1.0%), unemployment among ages 65 to 74 years (5.6% compared to 5.9%, a difference of 3.8%), and unemployment among ages 25 to 29 years (7.2% compared to 7.5%, a difference of 4.7%).

When considering labor participation, the most significant differences between Sierra Leonean and Immigrants from Bangladesh communities in the United States are seen in in labor force | age 16-19 (37.6% compared to 30.0%, a difference of 25.0%), in labor force | age 20-24 (76.3% compared to 70.6%, a difference of 8.1%), and in labor force | age > 16 (68.9% compared to 64.5%, a difference of 6.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (86.0% compared to 83.6%, a difference of 2.8%), in labor force | age 25-29 (85.8% compared to 83.0%, a difference of 3.4%), and in labor force | age 35-44 (86.4% compared to 82.9%, a difference of 4.2%).

When considering family structure, the most significant differences between Sierra Leonean and Immigrants from Bangladesh communities in the United States are seen in single father households (2.5% compared to 2.1%, a difference of 18.6%), births to unmarried women (34.9% compared to 30.9%, a difference of 12.8%), and single mother households (7.7% compared to 6.9%, a difference of 12.5%). Conversely, both communities are more comparable in terms of family households (63.9% compared to 63.9%, a difference of 0.010%), currently married (43.4% compared to 43.6%, a difference of 0.47%), and married-couple households (42.9% compared to 43.1%, a difference of 0.51%).

When considering vehicle availability, the most significant differences between Sierra Leonean and Immigrants from Bangladesh communities in the United States are seen in no vehicles in household (11.0% compared to 25.8%, a difference of 134.2%), 4 or more vehicles in household (5.9% compared to 3.9%, a difference of 51.0%), and 3 or more vehicles in household (18.3% compared to 12.5%, a difference of 46.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 74.3%, a difference of 19.8%), 2 or more vehicles in household (52.9% compared to 38.8%, a difference of 36.5%), and 3 or more vehicles in household (18.3% compared to 12.5%, a difference of 46.4%).

When considering education level, the most significant differences between Sierra Leonean and Immigrants from Bangladesh communities in the United States are seen in no schooling completed (2.3% compared to 3.1%, a difference of 36.0%), master's degree (16.8% compared to 15.5%, a difference of 8.5%), and college, under 1 year (66.0% compared to 61.3%, a difference of 7.7%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 96.9%, a difference of 0.88%), kindergarten (97.7% compared to 96.8%, a difference of 0.89%), and 1st grade (97.7% compared to 96.8%, a difference of 0.91%).

When considering disability, the most significant differences between Sierra Leonean and Immigrants from Bangladesh communities in the United States are seen in disability age under 5 (1.2% compared to 0.85%, a difference of 44.2%), disability age 18 to 34 (6.8% compared to 5.6%, a difference of 20.2%), and self-care disability (2.4% compared to 2.6%, a difference of 11.8%). Conversely, both communities are more comparable in terms of disability (11.0% compared to 11.0%, a difference of 0.070%), cognitive disability (17.9% compared to 17.8%, a difference of 0.55%), and disability age 35 to 64 (10.8% compared to 10.9%, a difference of 0.80%).