Indian (Asian) vs South American Indian Community Comparison

The statistical analysis conducted on geographies consisting of 162,408,357 people shows no correlation between the proportion of South American Indians within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.001. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.000% in South American Indians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 0.0 South American Indians.

When considering income, the most significant differences between Indian (Asian) and South American Indian communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $96,497, a difference of 23.8%), per capita income ($53,874 compared to $44,206, a difference of 21.9%), and median male earnings ($66,078 compared to $54,508, a difference of 21.2%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 24.7%, a difference of 6.9%), householder income under 25 years ($58,239 compared to $52,979, a difference of 9.9%), and householder income over 65 years ($70,238 compared to $62,215, a difference of 12.9%).

When considering poverty, the most significant differences between Indian (Asian) and South American Indian communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 17.4%, a difference of 29.3%), child poverty among girls under 16 (13.3% compared to 16.8%, a difference of 25.8%), and child poverty among boys under 16 (13.3% compared to 16.5%, a difference of 24.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.7% compared to 12.9%, a difference of 1.2%), female poverty among 18-24 year olds (19.6% compared to 20.1%, a difference of 2.6%), and seniors poverty over the age of 65 (11.1% compared to 11.4%, a difference of 3.0%).

When considering unemployment, the most significant differences between Indian (Asian) and South American Indian communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.9%, a difference of 26.0%), unemployment among women with children ages 6 to 17 years (7.7% compared to 9.0%, a difference of 16.9%), and unemployment among women with children under 18 years (4.9% compared to 5.5%, a difference of 12.5%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.2% compared to 5.2%, a difference of 1.3%), unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 2.6%), and unemployment among seniors over 75 years (8.0% compared to 8.2%, a difference of 3.0%).

When considering labor participation, the most significant differences between Indian (Asian) and South American Indian communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 35.8%, a difference of 12.2%), in labor force | age 20-24 (71.9% compared to 75.3%, a difference of 4.7%), and in labor force | age > 16 (65.5% compared to 66.0%, a difference of 0.81%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.9% compared to 79.9%, a difference of 0.0%), in labor force | age 25-29 (84.7% compared to 84.5%, a difference of 0.29%), and in labor force | age 35-44 (84.8% compared to 84.5%, a difference of 0.35%).

When considering family structure, the most significant differences between Indian (Asian) and South American Indian communities in the United States are seen in single mother households (5.1% compared to 6.4%, a difference of 25.9%), births to unmarried women (25.3% compared to 31.7%, a difference of 25.6%), and single father households (1.9% compared to 2.3%, a difference of 18.1%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.26, a difference of 0.62%), family households (65.1% compared to 64.6%, a difference of 0.78%), and family households with children (27.6% compared to 28.0%, a difference of 1.4%).

When considering vehicle availability, the most significant differences between Indian (Asian) and South American Indian communities in the United States are seen in no vehicles in household (14.1% compared to 12.1%, a difference of 16.6%), 4 or more vehicles in household (6.4% compared to 6.3%, a difference of 2.7%), and 1 or more vehicles in household (86.0% compared to 88.0%, a difference of 2.3%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.1% compared to 19.1%, a difference of 0.070%), 2 or more vehicles in household (53.1% compared to 53.9%, a difference of 1.5%), and 1 or more vehicles in household (86.0% compared to 88.0%, a difference of 2.3%).

When considering education level, the most significant differences between Indian (Asian) and South American Indian communities in the United States are seen in doctorate degree (2.9% compared to 2.0%, a difference of 47.4%), professional degree (6.5% compared to 4.8%, a difference of 37.1%), and master's degree (20.5% compared to 15.9%, a difference of 28.7%). Conversely, both communities are more comparable in terms of 7th grade (95.5% compared to 95.5%, a difference of 0.020%), 6th grade (96.6% compared to 96.7%, a difference of 0.070%), and 8th grade (95.2% compared to 95.1%, a difference of 0.090%).

When considering disability, the most significant differences between Indian (Asian) and South American Indian communities in the United States are seen in disability age under 5 (1.0% compared to 1.3%, a difference of 33.2%), disability age 35 to 64 (8.9% compared to 10.9%, a difference of 23.2%), and disability age 5 to 17 (4.6% compared to 5.5%, a difference of 19.4%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 47.1%, a difference of 1.3%), self-care disability (2.3% compared to 2.4%, a difference of 3.0%), and cognitive disability (16.8% compared to 17.5%, a difference of 4.0%).