English vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 494,074,157 people shows a weak negative correlation between the proportion of Indians (Asian) within English communities in the United States with a correlation coefficient (R) of -0.296. On average, for every 1% (one percent) increase in English within a typical geography, there is a decrease of 0.019% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 English corresponds to a decrease of 19.3 Indians (Asian).

When considering income, the most significant differences between English and Indian (Asian) communities in the United States are seen in householder income ages 25 - 44 years ($94,429 compared to $119,496, a difference of 26.6%), median household income ($84,915 compared to $105,262, a difference of 24.0%), and per capita income ($43,982 compared to $53,874, a difference of 22.5%). Conversely, both communities are more comparable in terms of wage/income gap (29.5% compared to 26.4%, a difference of 11.4%), householder income over 65 years ($61,487 compared to $70,238, a difference of 14.2%), and householder income under 25 years ($50,805 compared to $58,239, a difference of 14.6%).

When considering poverty, the most significant differences between English and Indian (Asian) communities in the United States are seen in child poverty under the age of 5 (16.8% compared to 13.4%, a difference of 25.3%), single male poverty (14.1% compared to 11.3%, a difference of 24.9%), and female poverty among 25-34 year olds (13.9% compared to 11.2%, a difference of 24.5%). Conversely, both communities are more comparable in terms of poverty (11.3% compared to 11.3%, a difference of 0.29%), male poverty (10.3% compared to 10.4%, a difference of 0.98%), and receiving food stamps (9.8% compared to 9.6%, a difference of 1.3%).

When considering unemployment, the most significant differences between English and Indian (Asian) communities in the United States are seen in unemployment among women with children under 6 years (8.0% compared to 6.3%, a difference of 26.5%), unemployment among seniors over 75 years (10.1% compared to 8.0%, a difference of 26.4%), and unemployment among women with children ages 6 to 17 years (9.4% compared to 7.7%, a difference of 21.1%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.67%), unemployment among women with children under 18 years (5.0% compared to 4.9%, a difference of 1.6%), and unemployment among ages 65 to 74 years (5.2% compared to 5.3%, a difference of 2.9%).

When considering labor participation, the most significant differences between English and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (42.4% compared to 31.9%, a difference of 33.0%), in labor force | age 20-24 (77.6% compared to 71.9%, a difference of 7.9%), and in labor force | age > 16 (63.7% compared to 65.5%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.5% compared to 84.7%, a difference of 0.28%), in labor force | age 35-44 (83.8% compared to 84.8%, a difference of 1.2%), and in labor force | age 20-64 (78.8% compared to 79.9%, a difference of 1.4%).

When considering family structure, the most significant differences between English and Indian (Asian) communities in the United States are seen in births to unmarried women (31.7% compared to 25.3%, a difference of 25.7%), divorced or separated (12.6% compared to 10.2%, a difference of 23.7%), and single father households (2.3% compared to 1.9%, a difference of 20.9%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 65.1%, a difference of 0.070%), family households with children (27.3% compared to 27.6%, a difference of 0.93%), and married-couple households (49.6% compared to 48.7%, a difference of 1.9%).

When considering vehicle availability, the most significant differences between English and Indian (Asian) communities in the United States are seen in no vehicles in household (6.5% compared to 14.1%, a difference of 116.1%), 3 or more vehicles in household (23.1% compared to 19.1%, a difference of 20.6%), and 4 or more vehicles in household (7.6% compared to 6.4%, a difference of 18.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.8% compared to 86.0%, a difference of 9.0%), 2 or more vehicles in household (61.9% compared to 53.1%, a difference of 16.6%), and 4 or more vehicles in household (7.6% compared to 6.4%, a difference of 18.5%).

When considering education level, the most significant differences between English and Indian (Asian) communities in the United States are seen in no schooling completed (1.4% compared to 2.5%, a difference of 78.5%), doctorate degree (1.9% compared to 2.9%, a difference of 51.9%), and professional degree (4.4% compared to 6.5%, a difference of 48.0%). Conversely, both communities are more comparable in terms of ged/equivalency (87.6% compared to 87.1%, a difference of 0.53%), nursery school (98.7% compared to 97.6%, a difference of 1.1%), and kindergarten (98.7% compared to 97.6%, a difference of 1.1%).

When considering disability, the most significant differences between English and Indian (Asian) communities in the United States are seen in disability age under 5 (1.7% compared to 1.0%, a difference of 66.7%), disability age 35 to 64 (12.4% compared to 8.9%, a difference of 40.4%), and disability age 18 to 34 (7.8% compared to 5.5%, a difference of 40.3%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 16.8%, a difference of 0.51%), disability age over 75 (46.8% compared to 46.5%, a difference of 0.56%), and self-care disability (2.5% compared to 2.3%, a difference of 5.6%).