Bangladeshi vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 121,358,445 people shows a poor negative correlation between the proportion of Peruvians within Bangladeshi communities in the United States with a correlation coefficient (R) of -0.195. On average, for every 1% (one percent) increase in Bangladeshis within a typical geography, there is a decrease of 0.003% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bangladeshis corresponds to a decrease of 3.1 Peruvians.

When considering income, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in per capita income ($35,897 compared to $44,479, a difference of 23.9%), median household income ($74,112 compared to $90,261, a difference of 21.8%), and householder income ages 45 - 64 years ($86,402 compared to $105,070, a difference of 21.6%). Conversely, both communities are more comparable in terms of median female earnings ($35,960 compared to $40,234, a difference of 11.9%), householder income over 65 years ($54,719 compared to $62,766, a difference of 14.7%), and median earnings ($41,263 compared to $47,628, a difference of 15.4%).

When considering poverty, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in female poverty among 18-24 year olds (22.5% compared to 17.2%, a difference of 30.4%), child poverty under the age of 16 (19.9% compared to 15.3%, a difference of 30.3%), and child poverty among girls under 16 (20.0% compared to 15.4%, a difference of 30.2%). Conversely, both communities are more comparable in terms of single father poverty (15.2% compared to 15.4%, a difference of 1.5%), seniors poverty over the age of 65 (11.2% compared to 11.7%, a difference of 4.4%), and seniors poverty over the age of 75 (12.0% compared to 13.4%, a difference of 11.7%).

When considering unemployment, the most significant differences between Bangladeshi and Peruvian 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 25.1%), unemployment among ages 60 to 64 years (4.6% compared to 5.0%, a difference of 10.1%), and male unemployment (5.7% compared to 5.3%, a difference of 7.2%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.5%, a difference of 0.22%), unemployment among ages 25 to 29 years (6.6% compared to 6.6%, a difference of 1.1%), and unemployment among ages 45 to 54 years (4.5% compared to 4.6%, a difference of 1.4%).

When considering labor participation, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in in labor force | age 16-19 (42.5% compared to 34.6%, a difference of 22.7%), in labor force | age 20-24 (78.1% compared to 74.5%, a difference of 4.8%), and in labor force | age 45-54 (81.3% compared to 83.6%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 84.7%, a difference of 0.39%), in labor force | age > 16 (65.9% compared to 66.3%, a difference of 0.51%), and in labor force | age 30-34 (84.3% compared to 84.8%, a difference of 0.52%).

When considering family structure, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in single father households (3.1% compared to 2.4%, a difference of 29.0%), single mother households (8.1% compared to 6.5%, a difference of 24.6%), and married-couple households (43.5% compared to 47.6%, a difference of 9.4%). Conversely, both communities are more comparable in terms of average family size (3.37 compared to 3.30, a difference of 2.1%), divorced or separated (12.3% compared to 11.9%, a difference of 3.2%), and family households with children (30.1% compared to 29.0%, a difference of 3.8%).

When considering vehicle availability, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in no vehicles in household (8.7% compared to 11.2%, a difference of 29.8%), 4 or more vehicles in household (7.6% compared to 6.5%, a difference of 17.0%), and 3 or more vehicles in household (21.9% compared to 19.6%, a difference of 11.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 88.8%, a difference of 2.9%), 2 or more vehicles in household (58.4% compared to 55.0%, a difference of 6.3%), and 3 or more vehicles in household (21.9% compared to 19.6%, a difference of 11.4%).

When considering education level, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in no schooling completed (3.5% compared to 2.4%, a difference of 48.3%), doctorate degree (1.2% compared to 1.8%, a difference of 48.2%), and master's degree (10.5% compared to 15.3%, a difference of 46.0%). Conversely, both communities are more comparable in terms of 9th grade (93.4% compared to 93.8%, a difference of 0.35%), 10th grade (92.2% compared to 92.6%, a difference of 0.44%), and 8th grade (94.3% compared to 94.7%, a difference of 0.48%).

When considering disability, the most significant differences between Bangladeshi and Peruvian communities in the United States are seen in disability age 35 to 64 (13.6% compared to 9.9%, a difference of 38.3%), disability age 18 to 34 (7.4% compared to 6.0%, a difference of 23.3%), and disability age 65 to 74 (26.8% compared to 22.2%, a difference of 20.6%). Conversely, both communities are more comparable in terms of disability age under 5 (1.3% compared to 1.3%, a difference of 2.7%), disability age over 75 (49.4% compared to 46.8%, a difference of 5.5%), and disability age 5 to 17 (5.8% compared to 5.3%, a difference of 9.3%).