Indian (Asian) vs Nonimmigrants Community Comparison

The statistical analysis conducted on geographies consisting of 495,400,821 people shows a very strong negative correlation between the proportion of Nonimmigrants within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.830. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.651% in Nonimmigrants. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 651.2 Nonimmigrants.

When considering income, the most significant differences between Indian (Asian) and Nonimmigrants communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $88,301, a difference of 35.3%), median household income ($105,262 compared to $79,429, a difference of 32.5%), and per capita income ($53,874 compared to $40,669, a difference of 32.5%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 27.2%, a difference of 2.8%), householder income under 25 years ($58,239 compared to $49,348, a difference of 18.0%), and householder income over 65 years ($70,238 compared to $57,426, a difference of 22.3%).

When considering poverty, the most significant differences between Indian (Asian) and Nonimmigrants communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 19.7%, a difference of 46.8%), female poverty among 25-34 year olds (11.2% compared to 15.6%, a difference of 39.9%), and child poverty among girls under 16 (13.3% compared to 18.3%, a difference of 37.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.1% compared to 10.9%, a difference of 1.9%), seniors poverty over the age of 75 (12.7% compared to 12.2%, a difference of 4.3%), and female poverty among 18-24 year olds (19.6% compared to 21.5%, a difference of 9.8%).

When considering unemployment, the most significant differences between Indian (Asian) and Nonimmigrants communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 8.8%, a difference of 40.5%), unemployment among women with children ages 6 to 17 years (7.7% compared to 10.0%, a difference of 29.5%), and unemployment among seniors over 75 years (8.0% compared to 9.8%, a difference of 23.4%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 0.24%), unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.28%), and unemployment among ages 55 to 59 years (4.9% compared to 4.9%, a difference of 0.43%).

When considering labor participation, the most significant differences between Indian (Asian) and Nonimmigrants communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 40.1%, a difference of 25.8%), in labor force | age 20-24 (71.9% compared to 76.2%, a difference of 6.0%), and in labor force | age > 16 (65.5% compared to 63.5%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 83.7%, a difference of 1.2%), in labor force | age 35-44 (84.8% compared to 83.2%, a difference of 1.9%), and in labor force | age 30-34 (85.4% compared to 83.5%, a difference of 2.2%).

When considering family structure, the most significant differences between Indian (Asian) and Nonimmigrants communities in the United States are seen in births to unmarried women (25.3% compared to 35.5%, a difference of 40.6%), single mother households (5.1% compared to 6.7%, a difference of 30.8%), and single father households (1.9% compared to 2.4%, a difference of 28.3%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.5%, a difference of 0.26%), family households (65.1% compared to 64.8%, a difference of 0.55%), and average family size (3.24 compared to 3.19, a difference of 1.8%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Nonimmigrants communities in the United States are seen in no vehicles in household (14.1% compared to 7.9%, a difference of 78.0%), 3 or more vehicles in household (19.1% compared to 21.8%, a difference of 13.9%), and 4 or more vehicles in household (6.4% compared to 7.2%, a difference of 12.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 92.2%, a difference of 7.2%), 2 or more vehicles in household (53.1% compared to 58.8%, a difference of 10.7%), and 4 or more vehicles in household (6.4% compared to 7.2%, a difference of 12.3%).

When considering education level, the most significant differences between Indian (Asian) and Nonimmigrants communities in the United States are seen in doctorate degree (2.9% compared to 1.7%, a difference of 73.1%), professional degree (6.5% compared to 3.9%, a difference of 67.3%), and master's degree (20.5% compared to 13.3%, a difference of 53.4%). Conversely, both communities are more comparable in terms of 11th grade (92.5% compared to 92.7%, a difference of 0.15%), high school diploma (89.6% compared to 89.2%, a difference of 0.47%), and 12th grade, no diploma (91.5% compared to 91.0%, a difference of 0.56%).

When considering disability, the most significant differences between Indian (Asian) and Nonimmigrants communities in the United States are seen in disability age under 5 (1.0% compared to 1.6%, a difference of 60.3%), disability age 35 to 64 (8.9% compared to 13.0%, a difference of 47.3%), and disability age 5 to 17 (4.6% compared to 6.3%, a difference of 38.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 48.0%, a difference of 3.3%), cognitive disability (16.8% compared to 17.4%, a difference of 3.3%), and self-care disability (2.3% compared to 2.6%, a difference of 12.9%).