Immigrants from Asia vs Immigrants from Oceania Community Comparison

The statistical analysis conducted on geographies consisting of 303,148,103 people shows a weak positive correlation between the proportion of Immigrants from Oceania within Immigrant from Asia communities in the United States with a correlation coefficient (R) of 0.224. On average, for every 1% (one percent) increase in Immigrants from Asia within a typical geography, there is an increase of 0.003% in Immigrants from Oceania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Asia corresponds to an increase of 3.2 Immigrants from Oceania.

When considering income, the most significant differences between Immigrants from Asia and Immigrants from Oceania communities in the United States are seen in median male earnings ($63,240 compared to $55,712, a difference of 13.5%), householder income ages 25 - 44 years ($110,787 compared to $97,623, a difference of 13.5%), and householder income ages 45 - 64 years ($116,566 compared to $103,705, a difference of 12.4%). Conversely, both communities are more comparable in terms of householder income over 65 years ($67,594 compared to $64,416, a difference of 4.9%), householder income under 25 years ($56,379 compared to $53,680, a difference of 5.0%), and wage/income gap (27.0% compared to 25.6%, a difference of 5.2%).

When considering poverty, the most significant differences between Immigrants from Asia and Immigrants from Oceania communities in the United States are seen in child poverty under the age of 5 (14.4% compared to 16.9%, a difference of 17.4%), female poverty among 25-34 year olds (11.6% compared to 13.5%, a difference of 16.7%), and receiving food stamps (9.9% compared to 11.4%, a difference of 15.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.6% compared to 10.4%, a difference of 1.4%), married-couple family poverty (4.8% compared to 5.0%, a difference of 3.7%), and seniors poverty over the age of 75 (12.2% compared to 11.7%, a difference of 4.7%).

When considering unemployment, the most significant differences between Immigrants from Asia and Immigrants from Oceania communities in the United States are seen in unemployment among women with children under 6 years (6.8% compared to 7.5%, a difference of 10.4%), unemployment among ages 35 to 44 years (4.4% compared to 4.8%, a difference of 8.0%), and unemployment among seniors over 75 years (8.3% compared to 9.0%, a difference of 7.9%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.1% compared to 8.1%, a difference of 0.060%), unemployment among ages 45 to 54 years (4.4% compared to 4.4%, a difference of 0.090%), and unemployment among ages 25 to 29 years (6.3% compared to 6.4%, a difference of 0.23%).

When considering labor participation, the most significant differences between Immigrants from Asia and Immigrants from Oceania communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 37.9%, a difference of 11.1%), in labor force | age 20-24 (73.6% compared to 76.1%, a difference of 3.4%), and in labor force | age 45-54 (83.3% compared to 82.1%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.2%, a difference of 0.69%), in labor force | age 35-44 (84.5% compared to 83.9%, a difference of 0.80%), and in labor force | age 20-64 (80.1% compared to 79.3%, a difference of 0.93%).

When considering family structure, the most significant differences between Immigrants from Asia and Immigrants from Oceania communities in the United States are seen in single father households (2.1% compared to 2.5%, a difference of 17.8%), births to unmarried women (26.8% compared to 30.6%, a difference of 14.1%), and single mother households (5.6% compared to 6.3%, a difference of 12.0%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.29, a difference of 0.70%), family households (66.1% compared to 64.9%, a difference of 1.8%), and family households with children (28.8% compared to 28.1%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Immigrants from Asia and Immigrants from Oceania communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 7.6%, a difference of 12.6%), no vehicles in household (10.9% compared to 9.7%, a difference of 11.7%), and 3 or more vehicles in household (20.2% compared to 21.8%, a difference of 7.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 90.4%, a difference of 1.2%), 2 or more vehicles in household (56.3% compared to 57.5%, a difference of 2.1%), and 3 or more vehicles in household (20.2% compared to 21.8%, a difference of 7.7%).

When considering education level, the most significant differences between Immigrants from Asia and Immigrants from Oceania communities in the United States are seen in doctorate degree (2.4% compared to 1.9%, a difference of 27.1%), master's degree (18.4% compared to 14.7%, a difference of 25.6%), and professional degree (5.5% compared to 4.6%, a difference of 20.5%). Conversely, both communities are more comparable in terms of 10th grade (93.4% compared to 93.4%, a difference of 0.010%), 9th grade (94.4% compared to 94.5%, a difference of 0.090%), and 8th grade (95.2% compared to 95.3%, a difference of 0.14%).

When considering disability, the most significant differences between Immigrants from Asia and Immigrants from Oceania communities in the United States are seen in disability age 35 to 64 (9.5% compared to 11.4%, a difference of 19.9%), hearing disability (2.7% compared to 3.2%, a difference of 15.9%), and male disability (10.0% compared to 11.4%, a difference of 13.9%). Conversely, both communities are more comparable in terms of disability age over 75 (47.0% compared to 48.0%, a difference of 2.1%), cognitive disability (16.8% compared to 17.6%, a difference of 4.8%), and self-care disability (2.4% compared to 2.5%, a difference of 5.4%).