Immigrants from Bangladesh vs White/Caucasian Community Comparison

The statistical analysis conducted on geographies consisting of 203,682,679 people shows a weak negative correlation between the proportion of Whites/Caucasians within Immigrant from Bangladesh communities in the United States with a correlation coefficient (R) of -0.221. On average, for every 1% (one percent) increase in Immigrants from Bangladesh within a typical geography, there is a decrease of 0.950% in Whites/Caucasians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Bangladesh corresponds to a decrease of 949.9 Whites/Caucasians.

When considering income, the most significant differences between Immigrants from Bangladesh and White/Caucasian communities in the United States are seen in wage/income gap (20.9% compared to 28.5%, a difference of 36.1%), householder income under 25 years ($54,714 compared to $50,336, a difference of 8.7%), and householder income ages 45 - 64 years ($92,208 compared to $98,091, a difference of 6.4%). Conversely, both communities are more comparable in terms of median earnings ($45,532 compared to $45,197, a difference of 0.74%), per capita income ($41,709 compared to $42,180, a difference of 1.1%), and householder income ages 25 - 44 years ($90,448 compared to $91,668, a difference of 1.3%).

When considering poverty, the most significant differences between Immigrants from Bangladesh and White/Caucasian communities in the United States are seen in married-couple family poverty (7.5% compared to 4.8%, a difference of 55.2%), receiving food stamps (15.9% compared to 11.1%, a difference of 43.8%), and seniors poverty over the age of 65 (14.1% compared to 10.0%, a difference of 40.1%). Conversely, both communities are more comparable in terms of single mother poverty (31.1% compared to 31.2%, a difference of 0.16%), female poverty among 25-34 year olds (14.8% compared to 14.7%, a difference of 0.86%), and single female poverty (22.3% compared to 22.7%, a difference of 1.8%).

When considering unemployment, the most significant differences between Immigrants from Bangladesh and White/Caucasian communities in the United States are seen in unemployment (6.5% compared to 4.9%, a difference of 33.0%), female unemployment (6.5% compared to 4.9%, a difference of 32.0%), and male unemployment (6.6% compared to 5.0%, a difference of 30.8%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (8.8% compared to 8.4%, a difference of 5.6%), unemployment among women with children ages 6 to 17 years (8.8% compared to 9.6%, a difference of 9.1%), and unemployment among ages 65 to 74 years (5.9% compared to 5.4%, a difference of 9.3%).

When considering labor participation, the most significant differences between Immigrants from Bangladesh and White/Caucasian communities in the United States are seen in in labor force | age 16-19 (30.0% compared to 41.3%, a difference of 37.5%), in labor force | age 20-24 (70.6% compared to 76.9%, a difference of 8.9%), and in labor force | age 25-29 (83.0% compared to 84.2%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (83.6% compared to 83.9%, a difference of 0.35%), in labor force | age 20-64 (77.9% compared to 78.5%, a difference of 0.81%), and in labor force | age 35-44 (82.9% compared to 83.6%, a difference of 0.86%).

When considering family structure, the most significant differences between Immigrants from Bangladesh and White/Caucasian communities in the United States are seen in single father households (2.1% compared to 2.4%, a difference of 15.4%), divorced or separated (11.0% compared to 12.6%, a difference of 15.1%), and married-couple households (43.1% compared to 48.6%, a difference of 12.8%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.4%, a difference of 0.39%), family households (63.9% compared to 65.1%, a difference of 1.9%), and average family size (3.36 compared to 3.14, a difference of 7.0%).

When considering vehicle availability, the most significant differences between Immigrants from Bangladesh and White/Caucasian communities in the United States are seen in no vehicles in household (25.8% compared to 7.0%, a difference of 266.0%), 4 or more vehicles in household (3.9% compared to 7.4%, a difference of 88.9%), and 3 or more vehicles in household (12.5% compared to 22.6%, a difference of 80.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (74.3% compared to 93.1%, a difference of 25.3%), 2 or more vehicles in household (38.8% compared to 60.8%, a difference of 56.9%), and 3 or more vehicles in household (12.5% compared to 22.6%, a difference of 80.4%).

When considering education level, the most significant differences between Immigrants from Bangladesh and White/Caucasian communities in the United States are seen in no schooling completed (3.1% compared to 1.6%, a difference of 92.9%), master's degree (15.5% compared to 13.8%, a difference of 12.0%), and professional degree (4.4% compared to 4.1%, a difference of 9.1%). Conversely, both communities are more comparable in terms of nursery school (96.9% compared to 98.5%, a difference of 1.6%), kindergarten (96.8% compared to 98.4%, a difference of 1.7%), and 1st grade (96.8% compared to 98.4%, a difference of 1.7%).

When considering disability, the most significant differences between Immigrants from Bangladesh and White/Caucasian communities in the United States are seen in disability age under 5 (0.85% compared to 1.7%, a difference of 94.7%), hearing disability (2.4% compared to 3.7%, a difference of 51.9%), and disability age 18 to 34 (5.6% compared to 7.6%, a difference of 35.5%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 47.3%, a difference of 1.5%), disability age 65 to 74 (23.6% compared to 24.2%, a difference of 2.6%), and self-care disability (2.6% compared to 2.6%, a difference of 2.9%).