European vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 489,086,343 people shows a slight negative correlation between the proportion of Indians (Asian) within European communities in the United States with a correlation coefficient (R) of -0.069. On average, for every 1% (one percent) increase in Europeans within a typical geography, there is a decrease of 0.008% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Europeans corresponds to a decrease of 8.0 Indians (Asian).

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

When considering poverty, the most significant differences between European and Indian (Asian) communities in the United States are seen in seniors poverty over the age of 75 (10.5% compared to 12.7%, a difference of 21.2%), seniors poverty over the age of 65 (9.2% compared to 11.1%, a difference of 21.0%), and child poverty under the age of 5 (15.9% compared to 13.4%, 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 (12.3% compared to 12.2%, a difference of 0.62%).

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

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

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

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

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

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