Indian (Asian) vs Immigrants from Bangladesh Community Comparison

The statistical analysis conducted on geographies consisting of 201,530,971 people shows a slight negative correlation between the proportion of Immigrants from Bangladesh within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.083. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.001% in Immigrants from Bangladesh. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 1.4 Immigrants from Bangladesh.

When considering income, the most significant differences between Indian (Asian) and Immigrants from Bangladesh communities in the United States are seen in householder income ages 45 - 64 years ($122,343 compared to $92,208, a difference of 32.7%), median family income ($125,312 compared to $94,665, a difference of 32.4%), and householder income ages 25 - 44 years ($119,496 compared to $90,448, a difference of 32.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($58,239 compared to $54,714, a difference of 6.4%), median female earnings ($46,481 compared to $39,910, a difference of 16.5%), and median earnings ($56,253 compared to $45,532, a difference of 23.5%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Bangladesh communities in the United States are seen in receiving food stamps (9.6% compared to 15.9%, a difference of 65.2%), married-couple family poverty (4.8% compared to 7.5%, a difference of 55.3%), and family poverty (7.7% compared to 11.7%, a difference of 51.5%). Conversely, both communities are more comparable in terms of single father poverty (14.8% compared to 16.3%, a difference of 9.9%), female poverty among 18-24 year olds (19.6% compared to 21.8%, a difference of 11.2%), and single male poverty (11.3% compared to 13.0%, a difference of 15.7%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Bangladesh communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 8.8%, a difference of 40.3%), unemployment among women with children under 18 years (4.9% compared to 6.4%, a difference of 29.9%), and male unemployment (5.2% compared to 6.6%, a difference of 26.1%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.3% compared to 5.9%, a difference of 9.4%), unemployment among seniors over 65 years (5.2% compared to 5.7%, a difference of 11.0%), and unemployment among seniors over 75 years (8.0% compared to 9.1%, a difference of 13.9%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Bangladesh communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 30.0%, a difference of 6.0%), in labor force | age 45-54 (83.3% compared to 80.7%, a difference of 3.2%), and in labor force | age 20-64 (79.9% compared to 77.9%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.5% compared to 64.5%, a difference of 1.5%), in labor force | age 20-24 (71.9% compared to 70.6%, a difference of 1.8%), and in labor force | age 25-29 (84.7% compared to 83.0%, a difference of 2.1%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Bangladesh communities in the United States are seen in single mother households (5.1% compared to 6.9%, a difference of 34.6%), births to unmarried women (25.3% compared to 30.9%, a difference of 22.3%), and married-couple households (48.7% compared to 43.1%, a difference of 13.0%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.6%, a difference of 0.12%), family households (65.1% compared to 63.9%, a difference of 2.0%), and average family size (3.24 compared to 3.36, a difference of 3.7%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Bangladesh communities in the United States are seen in no vehicles in household (14.1% compared to 25.8%, a difference of 83.1%), 4 or more vehicles in household (6.4% compared to 3.9%, a difference of 65.0%), and 3 or more vehicles in household (19.1% compared to 12.5%, a difference of 52.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 74.3%, a difference of 15.8%), 2 or more vehicles in household (53.1% compared to 38.8%, a difference of 36.9%), and 3 or more vehicles in household (19.1% compared to 12.5%, a difference of 52.7%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from Bangladesh communities in the United States are seen in doctorate degree (2.9% compared to 1.8%, a difference of 58.3%), professional degree (6.5% compared to 4.4%, a difference of 46.7%), and master's degree (20.5% compared to 15.5%, a difference of 32.2%). Conversely, both communities are more comparable in terms of 1st grade (97.5% compared to 96.8%, a difference of 0.77%), nursery school (97.6% compared to 96.9%, a difference of 0.79%), and 2nd grade (97.5% compared to 96.7%, a difference of 0.79%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from Bangladesh communities in the United States are seen in disability age 35 to 64 (8.9% compared to 10.9%, a difference of 22.8%), disability age under 5 (1.0% compared to 0.85%, a difference of 17.5%), and vision disability (1.8% compared to 2.1%, a difference of 15.9%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (5.5% compared to 5.6%, a difference of 1.6%), disability age over 75 (46.5% compared to 48.0%, a difference of 3.3%), and cognitive disability (16.8% compared to 17.8%, a difference of 5.9%).