Indian (Asian) vs White/Caucasian Community Comparison

The statistical analysis conducted on geographies consisting of 495,400,425 people shows a strong negative correlation between the proportion of Whites/Caucasians within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.716. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.656% in Whites/Caucasians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 656.0 Whites/Caucasians.

When considering income, the most significant differences between Indian (Asian) and White/Caucasian communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $91,668, a difference of 30.4%), median household income ($105,262 compared to $82,029, a difference of 28.3%), and per capita income ($53,874 compared to $42,180, a difference of 27.7%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 28.5%, a difference of 7.8%), householder income under 25 years ($58,239 compared to $50,336, a difference of 15.7%), and householder income over 65 years ($70,238 compared to $58,847, a difference of 19.4%).

When considering poverty, the most significant differences between Indian (Asian) and White/Caucasian communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 18.1%, a difference of 34.6%), female poverty among 25-34 year olds (11.2% compared to 14.7%, a difference of 31.2%), and single male poverty (11.3% compared to 14.5%, a difference of 28.7%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.8% compared to 4.8%, a difference of 0.050%), female poverty among 18-24 year olds (19.6% compared to 20.8%, a difference of 6.0%), and male poverty (10.4% compared to 11.1%, a difference of 7.0%).

When considering unemployment, the most significant differences between Indian (Asian) and White/Caucasian communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 8.4%, a difference of 32.8%), unemployment among seniors over 75 years (8.0% compared to 10.1%, a difference of 26.3%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 9.6%, a difference of 24.7%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 0.10%), unemployment among ages 20 to 24 years (10.3% compared to 10.1%, a difference of 1.3%), and unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 1.5%).

When considering labor participation, the most significant differences between Indian (Asian) and White/Caucasian communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 41.3%, a difference of 29.6%), in labor force | age 20-24 (71.9% compared to 76.9%, a difference of 7.0%), and in labor force | age > 16 (65.5% compared to 63.6%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.2%, a difference of 0.64%), in labor force | age 35-44 (84.8% compared to 83.6%, a difference of 1.4%), and in labor force | age 20-64 (79.9% compared to 78.5%, a difference of 1.7%).

When considering family structure, the most significant differences between Indian (Asian) and White/Caucasian communities in the United States are seen in births to unmarried women (25.3% compared to 33.3%, a difference of 31.6%), single father households (1.9% compared to 2.4%, a difference of 25.4%), and divorced or separated (10.2% compared to 12.6%, a difference of 23.7%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 65.1%, a difference of 0.080%), married-couple households (48.7% compared to 48.6%, a difference of 0.23%), and family households with children (27.6% compared to 27.4%, a difference of 0.51%).

When considering vehicle availability, the most significant differences between Indian (Asian) and White/Caucasian communities in the United States are seen in no vehicles in household (14.1% compared to 7.0%, a difference of 99.9%), 3 or more vehicles in household (19.1% compared to 22.6%, a difference of 18.1%), and 2 or more vehicles in household (53.1% compared to 60.8%, a difference of 14.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 93.1%, a difference of 8.2%), 4 or more vehicles in household (6.4% compared to 7.4%, a difference of 14.5%), and 2 or more vehicles in household (53.1% compared to 60.8%, a difference of 14.6%).

When considering education level, the most significant differences between Indian (Asian) and White/Caucasian communities in the United States are seen in doctorate degree (2.9% compared to 1.8%, a difference of 65.7%), professional degree (6.5% compared to 4.1%, a difference of 60.1%), and no schooling completed (2.5% compared to 1.6%, a difference of 51.8%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.5% compared to 91.8%, a difference of 0.32%), high school diploma (89.6% compared to 90.1%, a difference of 0.55%), and nursery school (97.6% compared to 98.5%, a difference of 0.83%).

When considering disability, the most significant differences between Indian (Asian) and White/Caucasian communities in the United States are seen in disability age under 5 (1.0% compared to 1.7%, a difference of 65.7%), disability age 35 to 64 (8.9% compared to 12.6%, a difference of 42.6%), and disability age 18 to 34 (5.5% compared to 7.6%, a difference of 37.6%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 17.0%, a difference of 0.78%), disability age over 75 (46.5% compared to 47.3%, a difference of 1.8%), and self-care disability (2.3% compared to 2.6%, a difference of 9.3%).