Immigrants from Oceania vs Immigrants from Asia Community Comparison

The statistical analysis conducted on geographies consisting of 303,982,620 people shows a moderate negative correlation between the proportion of Immigrants from Asia within Immigrant from Oceania communities in the United States with a correlation coefficient (R) of -0.421. On average, for every 1% (one percent) increase in Immigrants from Oceania within a typical geography, there is a decrease of 0.385% in Immigrants from Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Oceania corresponds to a decrease of 385.0 Immigrants from Asia.

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

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

When considering unemployment, the most significant differences between Immigrants from Oceania and Immigrants from Asia communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 6.8%, a difference of 10.4%), unemployment among ages 35 to 44 years (4.8% compared to 4.4%, a difference of 8.0%), and unemployment among seniors over 75 years (9.0% compared to 8.3%, 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 (6.4% compared to 6.3%, a difference of 0.23%).

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

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

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

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

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