Indian (Asian) vs Immigrants from Chile Community Comparison

The statistical analysis conducted on geographies consisting of 215,652,451 people shows a poor positive correlation between the proportion of Immigrants from Chile within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.183. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.001% in Immigrants from Chile. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 0.9 Immigrants from Chile.

When considering income, the most significant differences between Indian (Asian) and Immigrants from Chile communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $97,159, a difference of 23.0%), median household income ($105,262 compared to $88,388, a difference of 19.1%), and median family income ($125,312 compared to $105,655, a difference of 18.6%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 25.7%, a difference of 2.9%), householder income under 25 years ($58,239 compared to $52,440, a difference of 11.1%), and householder income over 65 years ($70,238 compared to $62,354, a difference of 12.6%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Chile communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 16.4%, a difference of 22.3%), child poverty among boys under 16 (13.3% compared to 15.9%, a difference of 20.1%), and child poverty under the age of 16 (13.1% compared to 15.7%, a difference of 19.6%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 19.4%, a difference of 0.98%), seniors poverty over the age of 75 (12.7% compared to 13.3%, a difference of 4.0%), and seniors poverty over the age of 65 (11.1% compared to 11.7%, a difference of 5.6%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Chile communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.3%, a difference of 16.0%), unemployment among women with children ages 6 to 17 years (7.7% compared to 8.9%, a difference of 15.2%), and unemployment among women with children under 18 years (4.9% compared to 5.5%, a difference of 12.6%). Conversely, both communities are more comparable in terms of unemployment (5.1% compared to 5.1%, a difference of 0.12%), unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.35%), and unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 0.63%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Chile communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 34.8%, a difference of 9.1%), in labor force | age 20-24 (71.9% compared to 74.1%, a difference of 3.2%), and in labor force | age > 16 (65.5% compared to 65.9%, a difference of 0.62%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.3% compared to 83.2%, a difference of 0.15%), in labor force | age 20-64 (79.9% compared to 80.1%, a difference of 0.23%), and in labor force | age 25-29 (84.7% compared to 84.9%, a difference of 0.24%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Chile communities in the United States are seen in births to unmarried women (25.3% compared to 31.2%, a difference of 23.4%), single mother households (5.1% compared to 6.3%, a difference of 22.5%), and divorced or separated (10.2% compared to 12.1%, a difference of 18.7%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.24, a difference of 0.22%), family households with children (27.6% compared to 27.7%, a difference of 0.23%), and family households (65.1% compared to 64.6%, a difference of 0.89%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Chile communities in the United States are seen in no vehicles in household (14.1% compared to 11.0%, a difference of 27.9%), 4 or more vehicles in household (6.4% compared to 6.1%, a difference of 6.0%), and 1 or more vehicles in household (86.0% compared to 89.1%, a difference of 3.5%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.1% compared to 18.8%, a difference of 1.6%), 2 or more vehicles in household (53.1% compared to 54.2%, a difference of 2.1%), and 1 or more vehicles in household (86.0% compared to 89.1%, a difference of 3.5%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from Chile communities in the United States are seen in doctorate degree (2.9% compared to 2.1%, a difference of 38.3%), professional degree (6.5% compared to 5.3%, a difference of 23.9%), and master's degree (20.5% compared to 16.8%, a difference of 21.9%). Conversely, both communities are more comparable in terms of 10th grade (93.4% compared to 93.4%, a difference of 0.020%), 9th grade (94.5% compared to 94.5%, a difference of 0.090%), and 8th grade (95.2% compared to 95.4%, a difference of 0.17%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from Chile communities in the United States are seen in disability age under 5 (1.0% compared to 1.3%, a difference of 28.2%), disability age 5 to 17 (4.6% compared to 5.4%, a difference of 18.2%), and disability age 35 to 64 (8.9% compared to 10.1%, a difference of 14.3%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.5%, a difference of 0.10%), cognitive disability (16.8% compared to 17.0%, a difference of 0.82%), and self-care disability (2.3% compared to 2.4%, a difference of 1.2%).