Indian (Asian) vs Hispanic or Latino Community Comparison

The statistical analysis conducted on geographies consisting of 494,758,614 people shows a poor negative correlation between the proportion of Hispanics or Latinos within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.149. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.076% in Hispanics or Latinos. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 75.9 Hispanics or Latinos.

When considering income, the most significant differences between Indian (Asian) and Hispanic or Latino communities in the United States are seen in per capita income ($53,874 compared to $35,688, a difference of 51.0%), householder income ages 25 - 44 years ($119,496 compared to $80,515, a difference of 48.4%), and median family income ($125,312 compared to $85,647, a difference of 46.3%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 24.9%, a difference of 6.4%), householder income under 25 years ($58,239 compared to $50,279, a difference of 15.8%), and householder income over 65 years ($70,238 compared to $52,832, a difference of 33.0%).

When considering poverty, the most significant differences between Indian (Asian) and Hispanic or Latino communities in the United States are seen in receiving food stamps (9.6% compared to 15.8%, a difference of 64.5%), child poverty under the age of 5 (13.4% compared to 21.7%, a difference of 61.6%), and child poverty under the age of 16 (13.1% compared to 20.8%, a difference of 58.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 20.5%, a difference of 4.6%), single father poverty (14.8% compared to 16.8%, a difference of 13.5%), and seniors poverty over the age of 75 (12.7% compared to 15.8%, a difference of 23.8%).

When considering unemployment, the most significant differences between Indian (Asian) and Hispanic or Latino communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 9.0%, a difference of 43.6%), unemployment among women with children under 18 years (4.9% compared to 6.6%, a difference of 34.4%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 9.9%, a difference of 28.4%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.3% compared to 10.7%, a difference of 4.7%), unemployment among ages 60 to 64 years (5.0% compared to 5.3%, a difference of 5.8%), and unemployment among youth under 25 years (11.5% compared to 12.4%, a difference of 7.3%).

When considering labor participation, the most significant differences between Indian (Asian) and Hispanic or Latino communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 34.5%, a difference of 8.3%), in labor force | age 45-54 (83.3% compared to 80.1%, a difference of 4.0%), and in labor force | age 30-34 (85.4% compared to 82.4%, a difference of 3.6%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.5% compared to 64.3%, a difference of 1.9%), in labor force | age 20-64 (79.9% compared to 77.6%, a difference of 2.9%), and in labor force | age 25-29 (84.7% compared to 82.2%, a difference of 3.0%).

When considering family structure, the most significant differences between Indian (Asian) and Hispanic or Latino communities in the United States are seen in single mother households (5.1% compared to 7.9%, a difference of 54.9%), births to unmarried women (25.3% compared to 37.8%, a difference of 49.5%), and single father households (1.9% compared to 2.8%, a difference of 47.9%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 67.4%, a difference of 3.5%), average family size (3.24 compared to 3.41, a difference of 5.0%), and married-couple households (48.7% compared to 45.4%, a difference of 7.2%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Hispanic or Latino communities in the United States are seen in no vehicles in household (14.1% compared to 9.1%, a difference of 54.8%), 4 or more vehicles in household (6.4% compared to 7.6%, a difference of 18.3%), and 3 or more vehicles in household (19.1% compared to 22.4%, a difference of 17.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 91.0%, a difference of 5.8%), 2 or more vehicles in household (53.1% compared to 57.9%, a difference of 9.0%), and 3 or more vehicles in household (19.1% compared to 22.4%, a difference of 17.1%).

When considering education level, the most significant differences between Indian (Asian) and Hispanic or Latino communities in the United States are seen in doctorate degree (2.9% compared to 1.3%, a difference of 121.3%), professional degree (6.5% compared to 3.2%, a difference of 105.8%), and master's degree (20.5% compared to 10.9%, a difference of 87.1%). Conversely, both communities are more comparable in terms of 1st grade (97.5% compared to 96.9%, a difference of 0.62%), nursery school (97.6% compared to 97.0%, a difference of 0.65%), and kindergarten (97.6% compared to 97.0%, a difference of 0.65%).

When considering disability, the most significant differences between Indian (Asian) and Hispanic or Latino communities in the United States are seen in vision disability (1.8% compared to 2.6%, a difference of 40.2%), disability age 35 to 64 (8.9% compared to 12.3%, a difference of 38.5%), and disability age under 5 (1.0% compared to 1.3%, a difference of 30.7%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 17.9%, a difference of 6.3%), disability age over 75 (46.5% compared to 50.6%, a difference of 8.7%), and self-care disability (2.3% compared to 2.7%, a difference of 14.9%).