Nonimmigrants vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 495,218,979 people shows a mild negative correlation between the proportion of Indians (Asian) within Nonimmigrant communities in the United States with a correlation coefficient (R) of -0.328. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is a decrease of 0.072% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to a decrease of 71.7 Indians (Asian).

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

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

When considering unemployment, the most significant differences between Nonimmigrants and Indian (Asian) communities in the United States are seen in unemployment among women with children under 6 years (8.8% compared to 6.3%, a difference of 40.5%), unemployment among women with children ages 6 to 17 years (10.0% compared to 7.7%, a difference of 29.5%), and unemployment among seniors over 75 years (9.8% compared to 8.0%, a difference of 23.4%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.2%, 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 Nonimmigrants and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 31.9%, a difference of 25.8%), in labor force | age 20-24 (76.2% compared to 71.9%, a difference of 6.0%), and in labor force | age > 16 (63.5% compared to 65.5%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.7% compared to 84.7%, a difference of 1.2%), in labor force | age 35-44 (83.2% compared to 84.8%, a difference of 1.9%), and in labor force | age 30-34 (83.5% compared to 85.4%, a difference of 2.2%).

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

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

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

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