German Russian vs Immigrants from Bangladesh Community Comparison

The statistical analysis conducted on geographies consisting of 69,683,930 people shows a significant positive correlation between the proportion of Immigrants from Bangladesh within German Russian communities in the United States with a correlation coefficient (R) of 0.638. On average, for every 1% (one percent) increase in German Russians within a typical geography, there is an increase of 0.554% in Immigrants from Bangladesh. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 German Russians corresponds to an increase of 554.2 Immigrants from Bangladesh.

When considering income, the most significant differences between German Russian and Immigrants from Bangladesh communities in the United States are seen in householder income under 25 years ($45,673 compared to $54,714, a difference of 19.8%), wage/income gap (24.6% compared to 20.9%, a difference of 17.6%), and median female earnings ($37,105 compared to $39,910, a difference of 7.6%). Conversely, both communities are more comparable in terms of householder income over 65 years ($55,356 compared to $55,394, a difference of 0.070%), median family income ($93,858 compared to $94,665, a difference of 0.86%), and householder income ages 45 - 64 years ($89,398 compared to $92,208, a difference of 3.1%).

When considering poverty, the most significant differences between German Russian and Immigrants from Bangladesh communities in the United States are seen in married-couple family poverty (5.0% compared to 7.5%, a difference of 51.1%), receiving food stamps (11.8% compared to 15.9%, a difference of 35.1%), and seniors poverty over the age of 75 (12.3% compared to 15.8%, a difference of 28.7%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (14.9% compared to 14.8%, a difference of 0.56%), single mother poverty (31.3% compared to 31.1%, a difference of 0.68%), and single male poverty (13.6% compared to 13.0%, a difference of 4.5%).

When considering unemployment, the most significant differences between German Russian and Immigrants from Bangladesh communities in the United States are seen in unemployment (4.9% compared to 6.5%, a difference of 30.9%), female unemployment (4.9% compared to 6.5%, a difference of 30.5%), and unemployment among ages 55 to 59 years (4.5% compared to 5.9%, a difference of 30.0%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.5% compared to 8.8%, a difference of 3.4%), unemployment among ages 65 to 74 years (5.5% compared to 5.9%, a difference of 5.4%), and unemployment among women with children under 6 years (8.2% compared to 8.8%, a difference of 7.6%).

When considering labor participation, the most significant differences between German Russian and Immigrants from Bangladesh communities in the United States are seen in in labor force | age 16-19 (42.4% compared to 30.0%, a difference of 41.2%), in labor force | age 20-24 (77.5% compared to 70.6%, a difference of 9.8%), and in labor force | age 25-29 (85.8% compared to 83.0%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.2% compared to 83.6%, a difference of 2.0%), in labor force | age > 16 (66.1% compared to 64.5%, a difference of 2.4%), and in labor force | age 45-54 (82.8% compared to 80.7%, a difference of 2.6%).

When considering family structure, the most significant differences between German Russian and Immigrants from Bangladesh communities in the United States are seen in single father households (2.4% compared to 2.1%, a difference of 15.1%), divorced or separated (12.0% compared to 11.0%, a difference of 9.5%), and births to unmarried women (33.1% compared to 30.9%, a difference of 7.1%). Conversely, both communities are more comparable in terms of married-couple households (44.0% compared to 43.1%, a difference of 2.1%), family households with children (26.8% compared to 27.6%, a difference of 2.8%), and single mother households (6.7% compared to 6.9%, a difference of 3.2%).

When considering vehicle availability, the most significant differences between German Russian and Immigrants from Bangladesh communities in the United States are seen in no vehicles in household (10.5% compared to 25.8%, a difference of 144.4%), 4 or more vehicles in household (7.0% compared to 3.9%, a difference of 79.0%), and 3 or more vehicles in household (20.5% compared to 12.5%, a difference of 63.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.6% compared to 74.3%, a difference of 20.6%), 2 or more vehicles in household (55.6% compared to 38.8%, a difference of 43.4%), and 3 or more vehicles in household (20.5% compared to 12.5%, a difference of 63.7%).

When considering education level, the most significant differences between German Russian and Immigrants from Bangladesh communities in the United States are seen in no schooling completed (1.8% compared to 3.1%, a difference of 71.6%), master's degree (13.5% compared to 15.5%, a difference of 14.9%), and professional degree (4.0% compared to 4.4%, a difference of 12.0%). Conversely, both communities are more comparable in terms of associate's degree (45.1% compared to 45.2%, a difference of 0.30%), nursery school (98.2% compared to 96.9%, a difference of 1.4%), and kindergarten (98.2% compared to 96.8%, a difference of 1.4%).

When considering disability, the most significant differences between German Russian and Immigrants from Bangladesh communities in the United States are seen in disability age under 5 (1.6% compared to 0.85%, a difference of 90.8%), hearing disability (3.3% compared to 2.4%, a difference of 35.1%), and disability age 18 to 34 (7.4% compared to 5.6%, a difference of 30.6%). Conversely, both communities are more comparable in terms of ambulatory disability (6.3% compared to 6.2%, a difference of 1.5%), disability age over 75 (47.3% compared to 48.0%, a difference of 1.6%), and cognitive disability (18.2% compared to 17.8%, a difference of 2.1%).