Crow vs Bangladeshi Community Comparison

The statistical analysis conducted on geographies consisting of 41,657,627 people shows a perfect positive correlation between the proportion of Bangladeshis within Crow communities in the United States with a correlation coefficient (R) of 0.972. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 1.270% in Bangladeshis. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 1,269.7 Bangladeshis.

When considering income, the most significant differences between Crow and Bangladeshi communities in the United States are seen in median household income ($63,681 compared to $74,112, a difference of 16.4%), householder income ages 45 - 64 years ($74,257 compared to $86,402, a difference of 16.4%), and wage/income gap (19.1% compared to 22.2%, a difference of 16.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,012 compared to $47,589, a difference of 1.2%), median female earnings ($35,266 compared to $35,960, a difference of 2.0%), and median earnings ($38,707 compared to $41,263, a difference of 6.6%).

When considering poverty, the most significant differences between Crow and Bangladeshi communities in the United States are seen in single father poverty (30.3% compared to 15.2%, a difference of 99.4%), single male poverty (23.3% compared to 13.3%, a difference of 74.3%), and married-couple family poverty (9.6% compared to 6.0%, a difference of 59.1%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 15.0%, a difference of 12.1%), single mother poverty (38.6% compared to 31.7%, a difference of 21.8%), and child poverty under the age of 16 (26.0% compared to 19.9%, a difference of 30.4%).

When considering unemployment, the most significant differences between Crow and Bangladeshi communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.8%, a difference of 229.4%), unemployment among ages 65 to 74 years (17.4% compared to 5.3%, a difference of 226.1%), and unemployment among seniors over 65 years (16.9% compared to 5.2%, a difference of 225.6%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.6%, a difference of 8.3%), unemployment among ages 55 to 59 years (5.9% compared to 4.7%, a difference of 24.9%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 7.4%, a difference of 25.7%).

When considering labor participation, the most significant differences between Crow and Bangladeshi communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 84.3%, a difference of 11.1%), in labor force | age 16-19 (38.5% compared to 42.5%, a difference of 10.3%), and in labor force | age 35-44 (76.5% compared to 84.1%, a difference of 10.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 78.1%, a difference of 1.6%), in labor force | age 45-54 (78.3% compared to 81.3%, a difference of 3.8%), and in labor force | age 20-64 (73.3% compared to 79.3%, a difference of 8.2%).

When considering family structure, the most significant differences between Crow and Bangladeshi communities in the United States are seen in births to unmarried women (40.4% compared to 34.4%, a difference of 17.3%), divorced or separated (14.1% compared to 12.3%, a difference of 14.7%), and single father households (3.5% compared to 3.1%, a difference of 14.4%). Conversely, both communities are more comparable in terms of family households (65.3% compared to 64.3%, a difference of 1.6%), married-couple households (41.4% compared to 43.5%, a difference of 5.3%), and currently married (40.4% compared to 43.7%, a difference of 8.2%).

When considering vehicle availability, the most significant differences between Crow and Bangladeshi communities in the United States are seen in no vehicles in household (11.0% compared to 8.7%, a difference of 27.4%), 2 or more vehicles in household (55.7% compared to 58.4%, a difference of 4.8%), and 4 or more vehicles in household (7.8% compared to 7.6%, a difference of 3.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 91.4%, a difference of 2.3%), 3 or more vehicles in household (22.5% compared to 21.9%, a difference of 2.7%), and 4 or more vehicles in household (7.8% compared to 7.6%, a difference of 3.1%).

When considering education level, the most significant differences between Crow and Bangladeshi communities in the United States are seen in no schooling completed (1.6% compared to 3.5%, a difference of 116.0%), doctorate degree (1.5% compared to 1.2%, a difference of 22.0%), and bachelor's degree (27.7% compared to 30.2%, a difference of 8.8%). Conversely, both communities are more comparable in terms of college, 1 year or more (54.5% compared to 54.5%, a difference of 0.030%), 12th grade, no diploma (90.0% compared to 89.3%, a difference of 0.84%), and ged/equivalency (83.8% compared to 83.1%, a difference of 0.84%).

When considering disability, the most significant differences between Crow and Bangladeshi communities in the United States are seen in hearing disability (4.2% compared to 3.2%, a difference of 31.6%), disability age 18 to 34 (8.3% compared to 7.4%, a difference of 12.3%), and self-care disability (2.5% compared to 2.8%, a difference of 12.0%). Conversely, both communities are more comparable in terms of disability age over 75 (49.6% compared to 49.4%, a difference of 0.36%), disability (12.9% compared to 12.6%, a difference of 2.8%), and female disability (12.7% compared to 13.1%, a difference of 3.4%).