Indian (Asian) vs European Community Comparison

The statistical analysis conducted on geographies consisting of 489,086,495 people shows a mild negative correlation between the proportion of Europeans within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.372. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.019% in Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 19.2 Europeans.

When considering income, the most significant differences between Indian (Asian) and European communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $98,310, a difference of 21.5%), median household income ($105,262 compared to $88,751, a difference of 18.6%), and median female earnings ($46,481 compared to $39,457, a difference of 17.8%). Conversely, both communities are more comparable in terms of householder income over 65 years ($70,238 compared to $63,779, a difference of 10.1%), wage/income gap (26.4% compared to 29.4%, a difference of 11.1%), and householder income under 25 years ($58,239 compared to $51,796, a difference of 12.4%).

When considering poverty, the most significant differences between Indian (Asian) and European communities in the United States are seen in seniors poverty over the age of 75 (12.7% compared to 10.5%, a difference of 21.2%), seniors poverty over the age of 65 (11.1% compared to 9.2%, a difference of 21.0%), and child poverty under the age of 5 (13.4% compared to 15.9%, a difference of 18.1%). Conversely, both communities are more comparable in terms of family poverty (7.7% compared to 7.7%, a difference of 0.27%), poverty (11.3% compared to 11.3%, a difference of 0.54%), and female poverty (12.2% compared to 12.3%, a difference of 0.62%).

When considering unemployment, the most significant differences between Indian (Asian) and European communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 9.7%, a difference of 21.3%), unemployment among women with children under 6 years (6.3% compared to 7.5%, a difference of 18.7%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 8.7%, a difference of 13.1%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.19%), unemployment among ages 30 to 34 years (5.1% compared to 5.2%, a difference of 2.0%), and unemployment among ages 25 to 29 years (6.3% compared to 6.4%, a difference of 3.0%).

When considering labor participation, the most significant differences between Indian (Asian) and European communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 41.1%, a difference of 29.1%), in labor force | age 20-24 (71.9% compared to 77.1%, a difference of 7.2%), and in labor force | age > 16 (65.5% compared to 64.7%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.6%, a difference of 0.16%), in labor force | age 20-64 (79.9% compared to 79.3%, a difference of 0.74%), and in labor force | age 45-54 (83.3% compared to 82.6%, a difference of 0.83%).

When considering family structure, the most significant differences between Indian (Asian) and European communities in the United States are seen in divorced or separated (10.2% compared to 12.2%, a difference of 20.0%), births to unmarried women (25.3% compared to 30.2%, a difference of 19.7%), and single father households (1.9% compared to 2.3%, a difference of 19.4%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 65.0%, a difference of 0.15%), family households with children (27.6% compared to 27.9%, a difference of 1.1%), and married-couple households (48.7% compared to 49.6%, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Indian (Asian) and European communities in the United States are seen in no vehicles in household (14.1% compared to 7.1%, a difference of 97.6%), 3 or more vehicles in household (19.1% compared to 22.9%, a difference of 19.6%), and 4 or more vehicles in household (6.4% compared to 7.6%, a difference of 18.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 93.0%, a difference of 8.1%), 2 or more vehicles in household (53.1% compared to 61.4%, a difference of 15.5%), and 4 or more vehicles in household (6.4% compared to 7.6%, a difference of 18.0%).

When considering education level, the most significant differences between Indian (Asian) and European communities in the United States are seen in no schooling completed (2.5% compared to 1.5%, a difference of 67.4%), doctorate degree (2.9% compared to 2.1%, a difference of 39.6%), and professional degree (6.5% compared to 4.8%, a difference of 35.2%). Conversely, both communities are more comparable in terms of ged/equivalency (87.1% compared to 87.9%, a difference of 0.89%), nursery school (97.6% compared to 98.6%, a difference of 0.98%), and kindergarten (97.6% compared to 98.6%, a difference of 0.99%).

When considering disability, the most significant differences between Indian (Asian) and European communities in the United States are seen in disability age under 5 (1.0% compared to 1.5%, a difference of 51.8%), disability age 18 to 34 (5.5% compared to 7.4%, a difference of 33.4%), and disability age 35 to 64 (8.9% compared to 11.7%, a difference of 32.1%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.7%, a difference of 0.44%), cognitive disability (16.8% compared to 17.0%, a difference of 0.64%), and self-care disability (2.3% compared to 2.4%, a difference of 1.5%).