Indian (Asian) vs Immigrants from Oceania Community Comparison

The statistical analysis conducted on geographies consisting of 296,329,727 people shows a poor negative correlation between the proportion of Immigrants from Oceania within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.131. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.002% in Immigrants from Oceania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 2.5 Immigrants from Oceania.

When considering income, the most significant differences between Indian (Asian) and Immigrants from Oceania communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $97,623, a difference of 22.4%), per capita income ($53,874 compared to $45,220, a difference of 19.1%), and median male earnings ($66,078 compared to $55,712, a difference of 18.6%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 25.6%, a difference of 3.2%), householder income under 25 years ($58,239 compared to $53,680, a difference of 8.5%), and householder income over 65 years ($70,238 compared to $64,416, a difference of 9.0%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Oceania communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 16.9%, a difference of 25.7%), female poverty among 25-34 year olds (11.2% compared to 13.5%, a difference of 21.1%), and child poverty under the age of 16 (13.1% compared to 15.9%, a difference of 20.9%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 19.7%, a difference of 0.71%), married-couple family poverty (4.8% compared to 5.0%, a difference of 4.2%), and single father poverty (14.8% compared to 15.4%, a difference of 4.4%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Oceania communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.5%, a difference of 18.8%), unemployment among seniors over 75 years (8.0% compared to 9.0%, a difference of 12.7%), and unemployment among ages 35 to 44 years (4.4% compared to 4.8%, a difference of 8.2%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.3% compared to 17.2%, a difference of 0.42%), female unemployment (5.1% compared to 5.2%, a difference of 0.49%), and unemployment among youth under 25 years (11.5% compared to 11.4%, a difference of 0.81%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Oceania communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 37.9%, a difference of 18.9%), in labor force | age 20-24 (71.9% compared to 76.1%, a difference of 5.9%), and in labor force | age 30-34 (85.4% compared to 84.0%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.5% compared to 65.5%, a difference of 0.050%), in labor force | age 25-29 (84.7% compared to 84.2%, a difference of 0.63%), and in labor force | age 20-64 (79.9% compared to 79.3%, a difference of 0.69%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Oceania communities in the United States are seen in single father households (1.9% compared to 2.5%, a difference of 28.9%), single mother households (5.1% compared to 6.3%, a difference of 23.0%), and births to unmarried women (25.3% compared to 30.6%, a difference of 21.0%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 64.9%, a difference of 0.35%), average family size (3.24 compared to 3.29, a difference of 1.5%), and family households with children (27.6% compared to 28.1%, a difference of 1.9%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Oceania communities in the United States are seen in no vehicles in household (14.1% compared to 9.7%, a difference of 44.5%), 4 or more vehicles in household (6.4% compared to 7.6%, a difference of 18.6%), and 3 or more vehicles in household (19.1% compared to 21.8%, a difference of 14.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 90.4%, a difference of 5.0%), 2 or more vehicles in household (53.1% compared to 57.5%, a difference of 8.4%), and 3 or more vehicles in household (19.1% compared to 21.8%, a difference of 14.1%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from Oceania communities in the United States are seen in doctorate degree (2.9% compared to 1.9%, a difference of 52.4%), professional degree (6.5% compared to 4.6%, a difference of 42.7%), and master's degree (20.5% compared to 14.7%, a difference of 39.4%). Conversely, both communities are more comparable in terms of 10th grade (93.4% compared to 93.4%, a difference of 0.040%), 9th grade (94.5% compared to 94.5%, a difference of 0.070%), and 8th grade (95.2% compared to 95.3%, a difference of 0.13%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from Oceania communities in the United States are seen in disability age 35 to 64 (8.9% compared to 11.4%, a difference of 28.4%), disability age 18 to 34 (5.5% compared to 6.7%, a difference of 20.2%), and disability age 5 to 17 (4.6% compared to 5.4%, a difference of 19.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 48.0%, a difference of 3.2%), cognitive disability (16.8% compared to 17.6%, a difference of 4.4%), and self-care disability (2.3% compared to 2.5%, a difference of 6.6%).