Bangladeshi vs Immigrants from Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 138,980,702 people shows a slight positive correlation between the proportion of Immigrants from Eastern Asia within Bangladeshi communities in the United States with a correlation coefficient (R) of 0.094. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is an increase of 0.013% in Immigrants from Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to an increase of 13.1 Immigrants from Eastern Asia.

When considering income, the most significant differences between Bangladeshi and Immigrants from Eastern Asia communities in the United States are seen in per capita income ($35,897 compared to $53,806, a difference of 49.9%), householder income ages 25 - 44 years ($81,363 compared to $118,056, a difference of 45.1%), and median male earnings ($46,744 compared to $66,903, a difference of 43.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,589 compared to $57,123, a difference of 20.0%), wage/income gap (22.2% compared to 27.1%, a difference of 22.1%), and householder income over 65 years ($54,719 compared to $69,872, a difference of 27.7%).

When considering poverty, the most significant differences between Bangladeshi and Immigrants from Eastern Asia communities in the United States are seen in receiving food stamps (15.0% compared to 9.3%, a difference of 61.5%), child poverty under the age of 5 (20.6% compared to 13.5%, a difference of 52.6%), and child poverty under the age of 16 (19.9% compared to 13.1%, a difference of 51.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.2% compared to 11.1%, a difference of 1.3%), single father poverty (15.2% compared to 15.0%, a difference of 1.5%), and seniors poverty over the age of 75 (12.0% compared to 12.8%, a difference of 6.7%).

When considering unemployment, the most significant differences between Bangladeshi and Immigrants from Eastern Asia communities in the United States are seen in unemployment among seniors over 75 years (9.6% compared to 7.9%, a difference of 21.9%), unemployment among women with children under 6 years (7.5% compared to 6.3%, a difference of 19.1%), and male unemployment (5.7% compared to 5.1%, a difference of 10.8%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 0.12%), unemployment among youth under 25 years (11.6% compared to 11.5%, a difference of 0.38%), and unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 0.75%).

When considering labor participation, the most significant differences between Bangladeshi and Immigrants from Eastern Asia communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 32.0%, a difference of 32.6%), in labor force | age 20-24 (78.1% compared to 71.8%, a difference of 8.8%), and in labor force | age 45-54 (81.3% compared to 83.4%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 84.8%, a difference of 0.33%), in labor force | age > 16 (65.9% compared to 65.7%, a difference of 0.44%), and in labor force | age 35-44 (84.1% compared to 84.7%, a difference of 0.70%).

When considering family structure, the most significant differences between Bangladeshi and Immigrants from Eastern Asia communities in the United States are seen in single father households (3.1% compared to 1.9%, a difference of 62.6%), single mother households (8.1% compared to 5.1%, a difference of 59.7%), and births to unmarried women (34.4% compared to 25.0%, a difference of 37.4%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.9%, a difference of 1.0%), average family size (3.37 compared to 3.22, a difference of 4.5%), and family households with children (30.1% compared to 27.7%, a difference of 8.7%).

When considering vehicle availability, the most significant differences between Bangladeshi and Immigrants from Eastern Asia communities in the United States are seen in no vehicles in household (8.7% compared to 13.5%, a difference of 56.4%), 4 or more vehicles in household (7.6% compared to 6.2%, a difference of 21.5%), and 3 or more vehicles in household (21.9% compared to 18.8%, a difference of 16.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 86.5%, a difference of 5.6%), 2 or more vehicles in household (58.4% compared to 53.2%, a difference of 9.8%), and 3 or more vehicles in household (21.9% compared to 18.8%, a difference of 16.1%).

When considering education level, the most significant differences between Bangladeshi and Immigrants from Eastern Asia communities in the United States are seen in doctorate degree (1.2% compared to 3.0%, a difference of 144.7%), professional degree (3.1% compared to 6.6%, a difference of 112.6%), and master's degree (10.5% compared to 20.8%, a difference of 98.8%). Conversely, both communities are more comparable in terms of 6th grade (95.7% compared to 96.7%, a difference of 1.1%), kindergarten (96.6% compared to 97.6%, a difference of 1.1%), and 1st grade (96.5% compared to 97.6%, a difference of 1.1%).

When considering disability, the most significant differences between Bangladeshi and Immigrants from Eastern Asia communities in the United States are seen in disability age 35 to 64 (13.6% compared to 8.8%, a difference of 55.1%), disability age 65 to 74 (26.8% compared to 20.3%, a difference of 32.3%), and disability age 18 to 34 (7.4% compared to 5.6%, a difference of 32.0%). Conversely, both communities are more comparable in terms of disability age over 75 (49.4% compared to 46.2%, a difference of 7.1%), cognitive disability (18.6% compared to 16.8%, a difference of 10.8%), and ambulatory disability (6.3% compared to 5.3%, a difference of 18.4%).