Immigrants from Bangladesh vs Liberian Community Comparison

The statistical analysis conducted on geographies consisting of 85,603,401 people shows a mild positive correlation between the proportion of Liberians within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of 0.341. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is an increase of 0.020% in Liberians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to an increase of 19.9 Liberians.

When considering income, the most significant differences between Immigrants from Bangladesh and Liberian communities in the United States are seen in householder income under 25 years ($54,714 compared to $48,917, a difference of 11.8%), householder income ages 25 - 44 years ($90,448 compared to $82,005, a difference of 10.3%), and per capita income ($41,709 compared to $38,780, a difference of 7.5%). Conversely, both communities are more comparable in terms of householder income over 65 years ($55,394 compared to $54,356, a difference of 1.9%), wage/income gap (20.9% compared to 21.4%, a difference of 2.3%), and median family income ($94,665 compared to $91,722, a difference of 3.2%).

When considering poverty, the most significant differences between Immigrants from Bangladesh and Liberian communities in the United States are seen in married-couple family poverty (7.5% compared to 5.4%, a difference of 39.3%), seniors poverty over the age of 75 (15.8% compared to 12.5%, a difference of 26.5%), and seniors poverty over the age of 65 (14.1% compared to 11.8%, a difference of 19.6%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (19.9% compared to 19.9%, a difference of 0.14%), single male poverty (13.0% compared to 13.0%, a difference of 0.36%), and single female poverty (22.3% compared to 22.4%, a difference of 0.37%).

When considering unemployment, the most significant differences between Immigrants from Bangladesh and Liberian communities in the United States are seen in unemployment among ages 60 to 64 years (6.0% compared to 4.5%, a difference of 31.3%), unemployment among women with children ages 6 to 17 years (8.8% compared to 10.8%, a difference of 22.9%), and unemployment among ages 16 to 19 years (21.5% compared to 17.9%, a difference of 20.1%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.9% compared to 5.8%, a difference of 0.31%), unemployment among seniors over 65 years (5.7% compared to 5.6%, a difference of 2.3%), and unemployment among ages 35 to 44 years (5.3% compared to 5.1%, a difference of 5.3%).

When considering labor participation, the most significant differences between Immigrants from Bangladesh and Liberian communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 41.8%, a difference of 39.2%), in labor force | age 20-24 (70.6% compared to 78.0%, a difference of 10.4%), and in labor force | age > 16 (64.5% compared to 67.8%, a difference of 5.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (80.7% compared to 83.0%, a difference of 2.9%), in labor force | age 35-44 (82.9% compared to 85.7%, a difference of 3.3%), and in labor force | age 30-34 (83.6% compared to 86.4%, a difference of 3.3%).

When considering family structure, the most significant differences between Immigrants from Bangladesh and Liberian communities in the United States are seen in single mother households (6.9% compared to 8.6%, a difference of 25.7%), births to unmarried women (30.9% compared to 37.4%, a difference of 21.0%), and single father households (2.1% compared to 2.5%, a difference of 21.0%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 28.3%, a difference of 2.6%), family households (63.9% compared to 62.0%, a difference of 3.0%), and currently married (43.6% compared to 42.2%, a difference of 3.4%).

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and Liberian communities in the United States are seen in no vehicles in household (25.8% compared to 12.0%, a difference of 115.1%), 3 or more vehicles in household (12.5% compared to 17.0%, a difference of 35.8%), and 4 or more vehicles in household (3.9% compared to 5.3%, a difference of 34.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 88.0%, a difference of 18.5%), 2 or more vehicles in household (38.8% compared to 51.7%, a difference of 33.4%), and 4 or more vehicles in household (3.9% compared to 5.3%, a difference of 34.7%).

When considering education level, the most significant differences between Immigrants from Bangladesh and Liberian communities in the United States are seen in no schooling completed (3.1% compared to 2.4%, a difference of 32.7%), professional degree (4.4% compared to 3.6%, a difference of 25.2%), and doctorate degree (1.8% compared to 1.5%, a difference of 20.9%). Conversely, both communities are more comparable in terms of college, 1 year or more (56.6% compared to 56.7%, a difference of 0.25%), nursery school (96.9% compared to 97.7%, a difference of 0.80%), and kindergarten (96.8% compared to 97.6%, a difference of 0.82%).

When considering disability, the most significant differences between Immigrants from Bangladesh and Liberian communities in the United States are seen in disability age under 5 (0.85% compared to 1.3%, a difference of 49.2%), disability age 18 to 34 (5.6% compared to 7.1%, a difference of 25.6%), and disability age 35 to 64 (10.9% compared to 12.9%, a difference of 19.1%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 48.0%, a difference of 0.010%), ambulatory disability (6.2% compared to 6.3%, a difference of 1.9%), and self-care disability (2.6% compared to 2.6%, a difference of 2.0%).