Immigrants from Northern Europe vs Bangladeshi Community Comparison

The statistical analysis conducted on geographies consisting of 136,168,155 people shows a perfect positive correlation between the proportion of Bangladeshis within Immigrant from Northern Europe communities in the United States with a correlation coefficient (R) of 0.966. On average, for every 1% (one percent) increase in Immigrants from Northern Europe within a typical geography, there is an increase of 0.254% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Northern Europe corresponds to an increase of 254.2 Bangladeshis.

When considering income, the most significant differences between Immigrants from Northern Europe and Bangladeshi communities in the United States are seen in per capita income ($54,159 compared to $35,897, a difference of 50.9%), median male earnings ($64,987 compared to $46,744, a difference of 39.0%), and median family income ($121,840 compared to $88,358, a difference of 37.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,571 compared to $47,589, a difference of 14.7%), median female earnings ($44,366 compared to $35,960, a difference of 23.4%), and householder income over 65 years ($69,003 compared to $54,719, a difference of 26.1%).

When considering poverty, the most significant differences between Immigrants from Northern Europe and Bangladeshi communities in the United States are seen in receiving food stamps (9.2% compared to 15.0%, a difference of 64.1%), family poverty (7.4% compared to 10.9%, a difference of 47.6%), and child poverty under the age of 16 (13.6% compared to 19.9%, a difference of 46.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.3% compared to 12.0%, a difference of 6.0%), single male poverty (12.5% compared to 13.3%, a difference of 6.6%), and single father poverty (16.5% compared to 15.2%, a difference of 8.9%).

When considering unemployment, the most significant differences between Immigrants from Northern Europe and Bangladeshi communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.9% compared to 7.4%, a difference of 20.5%), male unemployment (5.0% compared to 5.7%, a difference of 12.5%), and unemployment (4.9% compared to 5.4%, a difference of 9.9%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.3% compared to 5.3%, a difference of 0.070%), unemployment among ages 25 to 29 years (6.6% compared to 6.6%, a difference of 0.36%), and unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 0.51%).

When considering labor participation, the most significant differences between Immigrants from Northern Europe and Bangladeshi communities in the United States are seen in in labor force | age 16-19 (36.5% compared to 42.5%, a difference of 16.3%), in labor force | age 20-24 (74.8% compared to 78.1%, a difference of 4.4%), and in labor force | age 45-54 (83.1% compared to 81.3%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.2% compared to 85.1%, a difference of 0.15%), in labor force | age 20-64 (79.7% compared to 79.3%, a difference of 0.52%), and in labor force | age 35-44 (84.7% compared to 84.1%, a difference of 0.68%).

When considering family structure, the most significant differences between Immigrants from Northern Europe and Bangladeshi communities in the United States are seen in single mother households (5.3% compared to 8.1%, a difference of 53.2%), single father households (2.0% compared to 3.1%, a difference of 51.8%), and births to unmarried women (28.6% compared to 34.4%, a difference of 20.1%). Conversely, both communities are more comparable in terms of family households (63.8% compared to 64.3%, a difference of 0.71%), divorced or separated (11.6% compared to 12.3%, a difference of 5.7%), and average family size (3.13 compared to 3.37, a difference of 7.7%).

When considering vehicle availability, the most significant differences between Immigrants from Northern Europe and Bangladeshi communities in the United States are seen in no vehicles in household (10.7% compared to 8.7%, a difference of 23.0%), 4 or more vehicles in household (6.2% compared to 7.6%, a difference of 21.0%), and 3 or more vehicles in household (19.5% compared to 21.9%, a difference of 12.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.5% compared to 91.4%, a difference of 2.1%), 2 or more vehicles in household (56.1% compared to 58.4%, a difference of 4.2%), and 3 or more vehicles in household (19.5% compared to 21.9%, a difference of 12.1%).

When considering education level, the most significant differences between Immigrants from Northern Europe and Bangladeshi communities in the United States are seen in doctorate degree (2.6% compared to 1.2%, a difference of 112.4%), no schooling completed (1.7% compared to 3.5%, a difference of 112.4%), and professional degree (6.2% compared to 3.1%, a difference of 101.1%). Conversely, both communities are more comparable in terms of nursery school (98.4% compared to 96.6%, a difference of 1.9%), kindergarten (98.4% compared to 96.6%, a difference of 1.9%), and 1st grade (98.3% compared to 96.5%, a difference of 1.9%).

When considering disability, the most significant differences between Immigrants from Northern Europe and Bangladeshi communities in the United States are seen in disability age 35 to 64 (10.1% compared to 13.6%, a difference of 35.0%), disability age 65 to 74 (21.0% compared to 26.8%, a difference of 27.7%), and self-care disability (2.3% compared to 2.8%, a difference of 21.2%). Conversely, both communities are more comparable in terms of hearing disability (3.2% compared to 3.2%, a difference of 0.35%), disability age under 5 (1.3% compared to 1.3%, a difference of 2.8%), and ambulatory disability (5.8% compared to 6.3%, a difference of 8.1%).