White/Caucasian vs Immigrants from Australia Community Comparison

The statistical analysis conducted on geographies consisting of 227,197,513 people shows a substantial positive correlation between the proportion of Immigrants from Australia within White/Caucasian communities in the United States with a correlation coefficient (R) of 0.527. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is an increase of 0.001% in Immigrants from Australia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to an increase of 1.4 Immigrants from Australia.

When considering income, the most significant differences between White/Caucasian and Immigrants from Australia communities in the United States are seen in per capita income ($42,180 compared to $57,953, a difference of 37.4%), median family income ($99,800 compared to $126,620, a difference of 26.9%), and householder income ages 25 - 44 years ($91,668 compared to $115,947, a difference of 26.5%). Conversely, both communities are more comparable in terms of wage/income gap (28.5% compared to 28.2%, a difference of 1.1%), householder income under 25 years ($50,336 compared to $56,660, a difference of 12.6%), and householder income over 65 years ($58,847 compared to $69,164, a difference of 17.5%).

When considering poverty, the most significant differences between White/Caucasian and Immigrants from Australia communities in the United States are seen in child poverty under the age of 5 (18.1% compared to 14.6%, a difference of 23.6%), female poverty among 25-34 year olds (14.7% compared to 11.9%, a difference of 23.1%), and receiving food stamps (11.1% compared to 9.2%, a difference of 20.8%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.8% compared to 20.9%, a difference of 0.84%), seniors poverty over the age of 65 (10.0% compared to 10.5%, a difference of 4.6%), and seniors poverty over the age of 75 (11.4% compared to 12.2%, a difference of 7.1%).

When considering unemployment, the most significant differences between White/Caucasian and Immigrants from Australia communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 8.0%, a difference of 25.0%), unemployment among women with children under 6 years (8.4% compared to 6.8%, a difference of 23.9%), and unemployment among women with children ages 6 to 17 years (9.6% compared to 8.3%, a difference of 15.9%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.090%), unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.17%), and male unemployment (5.0% compared to 5.1%, a difference of 1.1%).

When considering labor participation, the most significant differences between White/Caucasian and Immigrants from Australia communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 35.1%, a difference of 17.8%), in labor force | age > 16 (63.6% compared to 65.9%, a difference of 3.6%), and in labor force | age 20-24 (76.9% compared to 74.6%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.9% compared to 82.9%, a difference of 1.3%), in labor force | age 35-44 (83.6% compared to 84.8%, a difference of 1.4%), and in labor force | age 25-29 (84.2% compared to 85.3%, a difference of 1.4%).

When considering family structure, the most significant differences between White/Caucasian and Immigrants from Australia communities in the United States are seen in births to unmarried women (33.3% compared to 26.6%, a difference of 24.9%), single father households (2.4% compared to 2.0%, a difference of 20.9%), and single mother households (6.1% compared to 5.1%, a difference of 19.9%). Conversely, both communities are more comparable in terms of average family size (3.14 compared to 3.13, a difference of 0.59%), currently married (48.6% compared to 47.3%, a difference of 2.9%), and married-couple households (48.6% compared to 46.5%, a difference of 4.4%).

When considering vehicle availability, the most significant differences between White/Caucasian and Immigrants from Australia communities in the United States are seen in no vehicles in household (7.0% compared to 13.8%, a difference of 96.5%), 4 or more vehicles in household (7.4% compared to 5.8%, a difference of 26.8%), and 3 or more vehicles in household (22.6% compared to 18.1%, a difference of 24.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 86.4%, a difference of 7.8%), 2 or more vehicles in household (60.8% compared to 52.4%, a difference of 16.0%), and 3 or more vehicles in household (22.6% compared to 18.1%, a difference of 24.9%).

When considering education level, the most significant differences between White/Caucasian and Immigrants from Australia communities in the United States are seen in professional degree (4.1% compared to 6.9%, a difference of 69.5%), doctorate degree (1.8% compared to 2.8%, a difference of 59.5%), and master's degree (13.8% compared to 20.9%, a difference of 51.0%). Conversely, both communities are more comparable in terms of 9th grade (95.8% compared to 95.8%, a difference of 0.040%), nursery school (98.5% compared to 98.3%, a difference of 0.13%), and kindergarten (98.4% compared to 98.3%, a difference of 0.14%).

When considering disability, the most significant differences between White/Caucasian and Immigrants from Australia communities in the United States are seen in disability age under 5 (1.7% compared to 1.2%, a difference of 43.0%), disability age 35 to 64 (12.6% compared to 9.7%, a difference of 30.6%), and hearing disability (3.7% compared to 2.9%, a difference of 25.1%). Conversely, both communities are more comparable in terms of cognitive disability (17.0% compared to 17.1%, a difference of 0.95%), disability age over 75 (47.3% compared to 45.5%, a difference of 4.1%), and self-care disability (2.6% compared to 2.3%, a difference of 12.8%).