Immigrants from Oceania vs Immigrants from Europe Community Comparison

The statistical analysis conducted on geographies consisting of 303,694,413 people shows a substantial negative correlation between the proportion of Immigrants from Europe within Immigrant from Oceania communities in the United States with a correlation coefficient (R) of -0.567. On average, for every 1% (one percent) increase in Immigrants from Oceania within a typical geography, there is a decrease of 0.098% in Immigrants from Europe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Oceania corresponds to a decrease of 98.2 Immigrants from Europe.

When considering income, the most significant differences between Immigrants from Oceania and Immigrants from Europe communities in the United States are seen in per capita income ($45,220 compared to $50,950, a difference of 12.7%), median male earnings ($55,712 compared to $62,057, a difference of 11.4%), and median earnings ($47,617 compared to $52,195, a difference of 9.6%). Conversely, both communities are more comparable in terms of householder income over 65 years ($64,416 compared to $64,828, a difference of 0.64%), householder income under 25 years ($53,680 compared to $55,022, a difference of 2.5%), and wage/income gap (25.6% compared to 27.1%, a difference of 5.8%).

When considering poverty, the most significant differences between Immigrants from Oceania and Immigrants from Europe communities in the United States are seen in child poverty under the age of 16 (15.9% compared to 14.2%, a difference of 11.9%), child poverty among girls under 16 (16.1% compared to 14.4%, a difference of 11.6%), and child poverty under the age of 5 (16.9% compared to 15.1%, a difference of 11.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.4% compared to 10.5%, a difference of 1.0%), single male poverty (12.4% compared to 12.2%, a difference of 1.6%), and single mother poverty (28.7% compared to 27.4%, a difference of 4.5%).

When considering unemployment, the most significant differences between Immigrants from Oceania and Immigrants from Europe communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.1% compared to 8.9%, a difference of 9.6%), unemployment among ages 60 to 64 years (4.7% compared to 4.9%, a difference of 4.9%), and unemployment among ages 20 to 24 years (10.0% compared to 10.4%, a difference of 4.8%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.4% compared to 5.4%, a difference of 0.33%), unemployment among women with children under 18 years (5.3% compared to 5.3%, a difference of 0.52%), and female unemployment (5.2% compared to 5.1%, a difference of 0.88%).

When considering labor participation, the most significant differences between Immigrants from Oceania and Immigrants from Europe communities in the United States are seen in in labor force | age 16-19 (37.9% compared to 36.2%, a difference of 4.6%), in labor force | age 20-24 (76.1% compared to 74.8%, a difference of 1.8%), and in labor force | age 30-34 (84.0% compared to 85.3%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.5% compared to 65.0%, a difference of 0.74%), in labor force | age 20-64 (79.3% compared to 79.9%, a difference of 0.77%), and in labor force | age 35-44 (83.9% compared to 84.9%, a difference of 1.2%).

When considering family structure, the most significant differences between Immigrants from Oceania and Immigrants from Europe communities in the United States are seen in single father households (2.5% compared to 2.0%, a difference of 21.6%), single mother households (6.3% compared to 5.5%, a difference of 13.8%), and births to unmarried women (30.6% compared to 28.4%, a difference of 7.5%). Conversely, both communities are more comparable in terms of married-couple households (46.9% compared to 47.6%, a difference of 1.5%), family households (64.9% compared to 63.7%, a difference of 1.9%), and divorced or separated (11.9% compared to 11.6%, a difference of 3.2%).

When considering vehicle availability, the most significant differences between Immigrants from Oceania and Immigrants from Europe communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.7%, a difference of 33.3%), no vehicles in household (9.7% compared to 12.5%, a difference of 28.6%), and 3 or more vehicles in household (21.8% compared to 18.1%, a difference of 20.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 87.6%, a difference of 3.1%), 2 or more vehicles in household (57.5% compared to 53.2%, a difference of 8.1%), and 3 or more vehicles in household (21.8% compared to 18.1%, a difference of 20.2%).

When considering education level, the most significant differences between Immigrants from Oceania and Immigrants from Europe communities in the United States are seen in master's degree (14.7% compared to 18.2%, a difference of 24.4%), professional degree (4.6% compared to 5.6%, a difference of 23.3%), and doctorate degree (1.9% compared to 2.3%, a difference of 20.9%). Conversely, both communities are more comparable in terms of kindergarten (97.8% compared to 98.1%, a difference of 0.33%), nursery school (97.8% compared to 98.1%, a difference of 0.34%), and 1st grade (97.8% compared to 98.1%, a difference of 0.34%).

When considering disability, the most significant differences between Immigrants from Oceania and Immigrants from Europe communities in the United States are seen in disability age 35 to 64 (11.4% compared to 10.2%, a difference of 11.3%), disability age 65 to 74 (24.0% compared to 21.6%, a difference of 11.0%), and disability age under 5 (1.2% compared to 1.3%, a difference of 9.6%). Conversely, both communities are more comparable in terms of ambulatory disability (6.1% compared to 6.0%, a difference of 2.1%), self-care disability (2.5% compared to 2.4%, a difference of 2.1%), and female disability (12.1% compared to 11.8%, a difference of 2.7%).