White/Caucasian vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 494,990,730 people shows a substantial negative correlation between the proportion of Indians (Asian) within White/Caucasian communities in the United States with a correlation coefficient (R) of -0.552. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is a decrease of 0.043% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to a decrease of 42.6 Indians (Asian).

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

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

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

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

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

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

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

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