Bangladeshi vs German Community Comparison

The statistical analysis conducted on geographies consisting of 141,418,522 people shows a poor negative correlation between the proportion of Germans within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.134. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.085% in Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 84.6 Germans.

When considering income, the most significant differences between Bangladeshi and German communities in the United States are seen in wage/income gap (22.2% compared to 29.2%, a difference of 31.6%), per capita income ($35,897 compared to $43,067, a difference of 20.0%), and median male earnings ($46,744 compared to $54,974, a difference of 17.6%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $37,986, a difference of 5.6%), householder income under 25 years ($47,589 compared to $50,804, a difference of 6.8%), and householder income over 65 years ($54,719 compared to $59,730, a difference of 9.2%).

When considering poverty, the most significant differences between Bangladeshi and German communities in the United States are seen in receiving food stamps (15.0% compared to 9.7%, a difference of 54.4%), married-couple family poverty (6.0% compared to 4.0%, a difference of 48.9%), and family poverty (10.9% compared to 7.7%, a difference of 42.3%). Conversely, both communities are more comparable in terms of single male poverty (13.3% compared to 13.9%, a difference of 4.4%), single mother poverty (31.7% compared to 30.0%, a difference of 5.8%), and female poverty among 18-24 year olds (22.5% compared to 20.4%, a difference of 9.9%).

When considering unemployment, the most significant differences between Bangladeshi and German communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.4% compared to 9.2%, a difference of 25.4%), unemployment (5.4% compared to 4.5%, a difference of 21.0%), and male unemployment (5.7% compared to 4.7%, a difference of 20.8%). 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 0.12%), unemployment among ages 60 to 64 years (4.6% compared to 4.5%, a difference of 1.9%), and unemployment among ages 25 to 29 years (6.6% compared to 6.5%, a difference of 2.8%).

When considering labor participation, the most significant differences between Bangladeshi and German communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 44.2%, a difference of 4.0%), in labor force | age > 16 (65.9% compared to 64.4%, a difference of 2.4%), and in labor force | age 45-54 (81.3% compared to 83.1%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 85.3%, a difference of 0.22%), in labor force | age 20-64 (79.3% compared to 79.7%, a difference of 0.46%), and in labor force | age 20-24 (78.1% compared to 78.6%, a difference of 0.60%).

When considering family structure, the most significant differences between Bangladeshi and German communities in the United States are seen in single mother households (8.1% compared to 5.8%, a difference of 41.5%), single father households (3.1% compared to 2.4%, a difference of 29.1%), and currently married (43.7% compared to 49.6%, a difference of 13.5%). Conversely, both communities are more comparable in terms of family households (64.3% compared to 64.4%, a difference of 0.30%), divorced or separated (12.3% compared to 12.5%, a difference of 1.6%), and births to unmarried women (34.4% compared to 32.0%, a difference of 7.6%).

When considering vehicle availability, the most significant differences between Bangladeshi and German communities in the United States are seen in no vehicles in household (8.7% compared to 6.7%, a difference of 29.8%), 2 or more vehicles in household (58.4% compared to 61.6%, a difference of 5.4%), and 3 or more vehicles in household (21.9% compared to 22.7%, a difference of 4.0%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (7.6% compared to 7.5%, a difference of 1.3%), 1 or more vehicles in household (91.4% compared to 93.6%, a difference of 2.5%), and 3 or more vehicles in household (21.9% compared to 22.7%, a difference of 4.0%).

When considering education level, the most significant differences between Bangladeshi and German communities in the United States are seen in no schooling completed (3.5% compared to 1.4%, a difference of 161.2%), doctorate degree (1.2% compared to 1.8%, a difference of 47.2%), and master's degree (10.5% compared to 14.0%, a difference of 33.8%). Conversely, both communities are more comparable in terms of nursery school (96.6% compared to 98.7%, a difference of 2.2%), kindergarten (96.6% compared to 98.7%, a difference of 2.2%), and 1st grade (96.5% compared to 98.7%, a difference of 2.2%).

When considering disability, the most significant differences between Bangladeshi and German communities in the United States are seen in disability age under 5 (1.3% compared to 1.7%, a difference of 33.6%), hearing disability (3.2% compared to 3.7%, a difference of 17.9%), and self-care disability (2.8% compared to 2.4%, a difference of 16.2%). Conversely, both communities are more comparable in terms of female disability (13.1% compared to 12.9%, a difference of 1.2%), disability (12.6% compared to 12.8%, a difference of 2.1%), and ambulatory disability (6.3% compared to 6.5%, a difference of 3.1%).