Asian vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 493,440,051 people shows a strong positive correlation between the proportion of Indians (Asian) within Asian communities in the United States with a correlation coefficient (R) of 0.781. On average, for every 1% (one percent) increase in Asians within a typical geography, there is an increase of 0.451% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to an increase of 450.6 Indians (Asian).

When considering income, the most significant differences between Asian and Indian (Asian) communities in the United States are seen in per capita income ($50,057 compared to $53,874, a difference of 7.6%), householder income ages 25 - 44 years ($112,666 compared to $119,496, a difference of 6.1%), and median earnings ($53,690 compared to $56,253, a difference of 4.8%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 26.4%, a difference of 1.8%), householder income over 65 years ($68,822 compared to $70,238, a difference of 2.1%), and householder income under 25 years ($57,003 compared to $58,239, a difference of 2.2%).

When considering poverty, the most significant differences between Asian and Indian (Asian) communities in the United States are seen in female poverty among 18-24 year olds (18.2% compared to 19.6%, a difference of 7.8%), seniors poverty over the age of 65 (10.4% compared to 11.1%, a difference of 6.6%), and seniors poverty over the age of 75 (12.0% compared to 12.7%, a difference of 6.1%). Conversely, both communities are more comparable in terms of family poverty (7.7% compared to 7.7%, a difference of 0.23%), single male poverty (11.2% compared to 11.3%, a difference of 0.50%), and receiving food stamps (9.7% compared to 9.6%, a difference of 0.56%).

When considering unemployment, the most significant differences between Asian and Indian (Asian) communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 6.3%, a difference of 6.0%), unemployment among ages 55 to 59 years (4.7% compared to 4.9%, a difference of 5.0%), and unemployment among seniors over 75 years (8.3% compared to 8.0%, a difference of 3.6%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.12%), female unemployment (5.2% compared to 5.1%, a difference of 0.59%), and unemployment among ages 20 to 24 years (10.2% compared to 10.3%, a difference of 0.68%).

When considering labor participation, the most significant differences between Asian and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 31.9%, a difference of 6.9%), in labor force | age 20-24 (73.7% compared to 71.9%, a difference of 2.5%), and in labor force | age > 16 (66.2% compared to 65.5%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.7%, a difference of 0.14%), in labor force | age 35-44 (84.7% compared to 84.8%, a difference of 0.15%), and in labor force | age 45-54 (83.4% compared to 83.3%, a difference of 0.16%).

When considering family structure, the most significant differences between Asian and Indian (Asian) communities in the United States are seen in single father households (2.1% compared to 1.9%, a difference of 10.2%), single mother households (5.6% compared to 5.1%, a difference of 9.5%), and births to unmarried women (26.8% compared to 25.3%, a difference of 6.0%). Conversely, both communities are more comparable in terms of currently married (48.4% compared to 48.0%, a difference of 0.92%), average family size (3.28 compared to 3.24, a difference of 1.1%), and married-couple households (49.5% compared to 48.7%, a difference of 1.6%).

When considering vehicle availability, the most significant differences between Asian and Indian (Asian) communities in the United States are seen in no vehicles in household (9.0% compared to 14.1%, a difference of 56.7%), 4 or more vehicles in household (7.0% compared to 6.4%, a difference of 9.0%), and 3 or more vehicles in household (20.8% compared to 19.1%, a difference of 8.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 86.0%, a difference of 5.9%), 2 or more vehicles in household (57.0% compared to 53.1%, a difference of 7.3%), and 3 or more vehicles in household (20.8% compared to 19.1%, a difference of 8.6%).

When considering education level, the most significant differences between Asian and Indian (Asian) communities in the United States are seen in doctorate degree (2.4% compared to 2.9%, a difference of 19.8%), professional degree (5.5% compared to 6.5%, a difference of 18.4%), and master's degree (18.4% compared to 20.5%, a difference of 10.9%). Conversely, both communities are more comparable in terms of 5th grade (96.9% compared to 96.9%, a difference of 0.0%), nursery school (97.6% compared to 97.6%, a difference of 0.010%), and kindergarten (97.6% compared to 97.6%, a difference of 0.010%).

When considering disability, the most significant differences between Asian and Indian (Asian) communities in the United States are seen in disability age under 5 (1.1% compared to 1.0%, a difference of 8.3%), disability age 35 to 64 (9.4% compared to 8.9%, a difference of 6.0%), and disability age 5 to 17 (4.8% compared to 4.6%, a difference of 5.2%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.8%, a difference of 0.57%), self-care disability (2.3% compared to 2.3%, a difference of 0.58%), and ambulatory disability (5.4% compared to 5.4%, a difference of 0.80%).