Immigrants from Eastern Asia vs Australian Community Comparison

The statistical analysis conducted on geographies consisting of 219,095,603 people shows a poor negative correlation between the proportion of Australians within Immigrant from Eastern Asia communities in the United States with a correlation coefficient (R) of -0.144. On average, for every 1% (one percent) increase in Immigrants from Eastern Asia within a typical geography, there is a decrease of 0.001% in Australians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Asia corresponds to a decrease of 0.8 Australians.

When considering income, the most significant differences between Immigrants from Eastern Asia and Australian communities in the United States are seen in householder income ages 25 - 44 years ($118,056 compared to $107,912, a difference of 9.4%), median household income ($104,796 compared to $96,490, a difference of 8.6%), and householder income ages 45 - 64 years ($122,222 compared to $113,533, a difference of 7.6%). Conversely, both communities are more comparable in terms of per capita income ($53,806 compared to $52,074, a difference of 3.3%), wage/income gap (27.1% compared to 28.2%, a difference of 4.1%), and householder income over 65 years ($69,872 compared to $66,891, a difference of 4.5%).

When considering poverty, the most significant differences between Immigrants from Eastern Asia and Australian communities in the United States are seen in child poverty under the age of 5 (13.5% compared to 15.5%, a difference of 14.6%), female poverty among 25-34 year olds (11.2% compared to 12.8%, a difference of 13.8%), and single female poverty (18.1% compared to 20.3%, a difference of 12.2%). Conversely, both communities are more comparable in terms of male poverty (10.4% compared to 10.4%, a difference of 0.48%), poverty (11.3% compared to 11.4%, a difference of 1.2%), and family poverty (7.7% compared to 7.8%, a difference of 1.3%).

When considering unemployment, the most significant differences between Immigrants from Eastern Asia and Australian communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.2%, a difference of 14.4%), unemployment among seniors over 75 years (7.9% compared to 8.7%, a difference of 10.9%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 8.5%, a difference of 10.3%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.8% compared to 4.8%, a difference of 0.53%), unemployment among ages 16 to 19 years (17.4% compared to 17.2%, a difference of 0.90%), and unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 1.4%).

When considering labor participation, the most significant differences between Immigrants from Eastern Asia and Australian communities in the United States are seen in in labor force | age 16-19 (32.0% compared to 37.8%, a difference of 18.0%), in labor force | age 20-24 (71.8% compared to 75.5%, a difference of 5.2%), and in labor force | age 45-54 (83.4% compared to 82.5%, a difference of 1.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.9%, a difference of 0.12%), in labor force | age 30-34 (85.4% compared to 85.0%, a difference of 0.36%), and in labor force | age 20-64 (79.9% compared to 79.5%, a difference of 0.46%).

When considering family structure, the most significant differences between Immigrants from Eastern Asia and Australian communities in the United States are seen in births to unmarried women (25.0% compared to 29.5%, a difference of 17.9%), divorced or separated (10.2% compared to 11.9%, a difference of 16.1%), and single father households (1.9% compared to 2.2%, a difference of 15.2%). Conversely, both communities are more comparable in terms of currently married (48.2% compared to 47.6%, a difference of 1.3%), family households with children (27.7% compared to 26.9%, a difference of 2.8%), and average family size (3.22 compared to 3.13, a difference of 2.9%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Asia and Australian communities in the United States are seen in no vehicles in household (13.5% compared to 10.1%, a difference of 34.2%), 3 or more vehicles in household (18.8% compared to 20.1%, a difference of 6.7%), and 2 or more vehicles in household (53.2% compared to 56.7%, a difference of 6.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.5% compared to 90.0%, a difference of 4.0%), 4 or more vehicles in household (6.2% compared to 6.6%, a difference of 5.5%), and 2 or more vehicles in household (53.2% compared to 56.7%, a difference of 6.5%).

When considering education level, the most significant differences between Immigrants from Eastern Asia and Australian communities in the United States are seen in no schooling completed (2.4% compared to 1.6%, a difference of 46.1%), doctorate degree (3.0% compared to 2.4%, a difference of 23.6%), and master's degree (20.8% compared to 18.4%, a difference of 13.2%). Conversely, both communities are more comparable in terms of ged/equivalency (87.4% compared to 88.1%, a difference of 0.71%), nursery school (97.7% compared to 98.5%, a difference of 0.79%), and kindergarten (97.6% compared to 98.4%, a difference of 0.80%).

When considering disability, the most significant differences between Immigrants from Eastern Asia and Australian communities in the United States are seen in disability age under 5 (1.0% compared to 1.4%, a difference of 35.1%), disability age 35 to 64 (8.8% compared to 10.8%, a difference of 22.4%), and disability age 18 to 34 (5.6% compared to 6.8%, a difference of 21.1%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.15%), disability age over 75 (46.2% compared to 45.7%, a difference of 1.1%), and cognitive disability (16.8% compared to 17.2%, a difference of 2.1%).