Indian (Asian) vs Immigrants from North America Community Comparison

The statistical analysis conducted on geographies consisting of 433,000,799 people shows a moderate negative correlation between the proportion of Immigrants from North America within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.442. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.007% in Immigrants from North America. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 7.0 Immigrants from North America.

When considering income, the most significant differences between Indian (Asian) and Immigrants from North America communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $102,407, a difference of 16.7%), median household income ($105,262 compared to $91,860, a difference of 14.6%), and median female earnings ($46,481 compared to $41,319, a difference of 12.5%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 28.4%, a difference of 7.4%), householder income over 65 years ($70,238 compared to $64,856, a difference of 8.3%), and householder income under 25 years ($58,239 compared to $53,307, a difference of 9.2%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from North America communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 15.9%, a difference of 18.4%), female poverty among 25-34 year olds (11.2% compared to 12.9%, a difference of 15.7%), and single male poverty (11.3% compared to 12.9%, a difference of 14.4%). Conversely, both communities are more comparable in terms of poverty (11.3% compared to 11.3%, a difference of 0.14%), female poverty among 18-24 year olds (19.6% compared to 19.5%, a difference of 0.54%), and female poverty (12.2% compared to 12.3%, a difference of 0.90%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from North America communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.6%, a difference of 20.8%), unemployment among women with children ages 6 to 17 years (7.7% compared to 9.2%, a difference of 18.5%), and unemployment among seniors over 75 years (8.0% compared to 9.2%, a difference of 15.2%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.3% compared to 10.2%, a difference of 0.96%), unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 1.2%), and unemployment among ages 35 to 44 years (4.4% compared to 4.5%, a difference of 1.6%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from North America communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 38.9%, a difference of 22.1%), in labor force | age 20-24 (71.9% compared to 75.9%, a difference of 5.5%), and in labor force | age > 16 (65.5% compared to 63.7%, a difference of 2.9%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.090%), in labor force | age 35-44 (84.8% compared to 84.2%, a difference of 0.76%), and in labor force | age 30-34 (85.4% compared to 84.6%, a difference of 0.93%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from North America communities in the United States are seen in births to unmarried women (25.3% compared to 30.6%, a difference of 20.9%), divorced or separated (10.2% compared to 12.1%, a difference of 18.6%), and single father households (1.9% compared to 2.2%, a difference of 13.7%). Conversely, both communities are more comparable in terms of married-couple households (48.7% compared to 48.4%, a difference of 0.66%), currently married (48.0% compared to 48.7%, a difference of 1.6%), and family households (65.1% compared to 64.0%, a difference of 1.8%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from North America communities in the United States are seen in no vehicles in household (14.1% compared to 8.7%, a difference of 60.8%), 2 or more vehicles in household (53.1% compared to 57.5%, a difference of 8.3%), and 1 or more vehicles in household (86.0% compared to 91.4%, a difference of 6.2%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.5%, a difference of 1.5%), 3 or more vehicles in household (19.1% compared to 20.2%, a difference of 5.8%), and 1 or more vehicles in household (86.0% compared to 91.4%, a difference of 6.2%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from North America communities in the United States are seen in no schooling completed (2.5% compared to 1.6%, a difference of 50.7%), doctorate degree (2.9% compared to 2.2%, a difference of 29.3%), and professional degree (6.5% compared to 5.3%, a difference of 22.4%). Conversely, both communities are more comparable in terms of ged/equivalency (87.1% compared to 87.8%, a difference of 0.79%), nursery school (97.6% compared to 98.4%, a difference of 0.80%), and kindergarten (97.6% compared to 98.4%, a difference of 0.81%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from North America communities in the United States are seen in disability age under 5 (1.0% compared to 1.4%, a difference of 44.1%), hearing disability (2.7% compared to 3.5%, a difference of 28.0%), and disability age 18 to 34 (5.5% compared to 7.0%, a difference of 25.6%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 45.7%, a difference of 1.7%), cognitive disability (16.8% compared to 16.5%, a difference of 2.1%), and self-care disability (2.3% compared to 2.4%, a difference of 2.6%).