Immigrants from Western Europe vs Bangladeshi Community Comparison

The statistical analysis conducted on geographies consisting of 137,718,725 people shows a substantial positive correlation between the proportion of Bangladeshis within Immigrant from Western Europe communities in the United States with a correlation coefficient (R) of 0.587. On average, for every 1% (one percent) increase in Immigrants from Western Europe within a typical geography, there is an increase of 1.034% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Europe corresponds to an increase of 1,034.5 Bangladeshis.

When considering income, the most significant differences between Immigrants from Western Europe and Bangladeshi communities in the United States are seen in per capita income ($50,065 compared to $35,897, a difference of 39.5%), median male earnings ($60,334 compared to $46,744, a difference of 29.1%), and median family income ($112,688 compared to $88,358, a difference of 27.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,957 compared to $47,589, a difference of 11.3%), median female earnings ($41,990 compared to $35,960, a difference of 16.8%), and householder income over 65 years ($64,933 compared to $54,719, a difference of 18.7%).

When considering poverty, the most significant differences between Immigrants from Western Europe and Bangladeshi communities in the United States are seen in receiving food stamps (10.3% compared to 15.0%, a difference of 45.7%), family poverty (8.2% compared to 10.9%, a difference of 32.1%), and child poverty under the age of 16 (15.1% compared to 19.9%, a difference of 31.7%). 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 1.0%), single male poverty (13.2% compared to 13.3%, a difference of 1.4%), and seniors poverty over the age of 65 (10.4% compared to 11.2%, a difference of 8.0%).

When considering unemployment, the most significant differences between Immigrants from Western Europe and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.1% compared to 7.4%, a difference of 24.4%), male unemployment (5.2% compared to 5.7%, a difference of 9.9%), and unemployment among seniors over 75 years (8.9% compared to 9.6%, a difference of 7.7%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.4% compared to 5.3%, a difference of 0.030%), unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.11%), and unemployment among youth under 25 years (11.5% compared to 11.6%, a difference of 0.39%).

When considering labor participation, the most significant differences between Immigrants from Western Europe and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 42.5%, a difference of 13.2%), in labor force | age 20-24 (75.3% compared to 78.1%, a difference of 3.7%), and in labor force | age > 16 (64.2% compared to 65.9%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.2% compared to 84.1%, a difference of 0.12%), in labor force | age 20-64 (79.1% compared to 79.3%, a difference of 0.23%), and in labor force | age 30-34 (84.7% compared to 84.3%, a difference of 0.45%).

When considering family structure, the most significant differences between Immigrants from Western Europe and Bangladeshi communities in the United States are seen in single father households (2.1% compared to 3.1%, a difference of 43.2%), single mother households (5.8% compared to 8.1%, a difference of 40.9%), and family households with children (26.4% compared to 30.1%, a difference of 14.0%). Conversely, both communities are more comparable in terms of family households (63.2% compared to 64.3%, a difference of 1.7%), divorced or separated (12.1% compared to 12.3%, a difference of 1.7%), and average family size (3.14 compared to 3.37, a difference of 7.3%).

When considering vehicle availability, the most significant differences between Immigrants from Western Europe and Bangladeshi communities in the United States are seen in no vehicles in household (10.9% compared to 8.7%, a difference of 26.0%), 4 or more vehicles in household (6.3% compared to 7.6%, a difference of 19.5%), and 3 or more vehicles in household (19.5% compared to 21.9%, a difference of 11.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.2% compared to 91.4%, a difference of 2.4%), 2 or more vehicles in household (55.4% compared to 58.4%, a difference of 5.5%), and 3 or more vehicles in household (19.5% compared to 21.9%, a difference of 11.9%).

When considering education level, the most significant differences between Immigrants from Western Europe and Bangladeshi communities in the United States are seen in no schooling completed (1.8% compared to 3.5%, a difference of 101.6%), doctorate degree (2.4% compared to 1.2%, a difference of 101.0%), and professional degree (5.7% compared to 3.1%, a difference of 85.1%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 96.6%, a difference of 1.8%), kindergarten (98.3% compared to 96.6%, a difference of 1.8%), and 1st grade (98.3% compared to 96.5%, a difference of 1.8%).

When considering disability, the most significant differences between Immigrants from Western Europe and Bangladeshi communities in the United States are seen in disability age 35 to 64 (11.1% compared to 13.6%, a difference of 22.5%), disability age 65 to 74 (22.5% compared to 26.8%, a difference of 19.3%), and self-care disability (2.4% compared to 2.8%, a difference of 15.3%). Conversely, both communities are more comparable in terms of ambulatory disability (6.2% compared to 6.3%, a difference of 1.3%), male disability (11.7% compared to 12.0%, a difference of 2.7%), and disability age 5 to 17 (5.6% compared to 5.8%, a difference of 3.6%).