Nonimmigrants vs Immigrants from Australia Community Comparison

The statistical analysis conducted on geographies consisting of 227,191,609 people shows a poor positive correlation between the proportion of Immigrants from Australia within Nonimmigrant communities in the United States with a correlation coefficient (R) of 0.149. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is an increase of 0.000% in Immigrants from Australia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to an increase of 0.3 Immigrants from Australia.

When considering income, the most significant differences between Nonimmigrants and Immigrants from Australia communities in the United States are seen in per capita income ($40,669 compared to $57,953, a difference of 42.5%), median family income ($96,231 compared to $126,620, a difference of 31.6%), and householder income ages 25 - 44 years ($88,301 compared to $115,947, a difference of 31.3%). Conversely, both communities are more comparable in terms of wage/income gap (27.2% compared to 28.2%, a difference of 3.7%), householder income under 25 years ($49,348 compared to $56,660, a difference of 14.8%), and householder income over 65 years ($57,426 compared to $69,164, a difference of 20.4%).

When considering poverty, the most significant differences between Nonimmigrants and Immigrants from Australia communities in the United States are seen in receiving food stamps (12.4% compared to 9.2%, a difference of 35.1%), child poverty under the age of 5 (19.7% compared to 14.6%, a difference of 34.8%), and child poverty under the age of 16 (17.9% compared to 13.6%, a difference of 31.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.2% compared to 12.2%, a difference of 0.22%), female poverty among 18-24 year olds (21.5% compared to 20.9%, a difference of 2.7%), and seniors poverty over the age of 65 (10.9% compared to 10.5%, a difference of 3.5%).

When considering unemployment, the most significant differences between Nonimmigrants and Immigrants from Australia communities in the United States are seen in unemployment among women with children under 6 years (8.8% compared to 6.8%, a difference of 31.1%), unemployment among seniors over 75 years (9.8% compared to 8.0%, a difference of 22.2%), and unemployment among women with children ages 6 to 17 years (10.0% compared to 8.3%, a difference of 20.3%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.9% compared to 4.9%, a difference of 0.26%), unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.68%), and unemployment among ages 16 to 19 years (17.9% compared to 17.7%, a difference of 1.1%).

When considering labor participation, the most significant differences between Nonimmigrants and Immigrants from Australia communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 35.1%, a difference of 14.4%), in labor force | age > 16 (63.5% compared to 65.9%, a difference of 3.8%), and in labor force | age 20-64 (78.1% compared to 80.0%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (83.2% compared to 84.8%, a difference of 1.9%), in labor force | age 25-29 (83.7% compared to 85.3%, a difference of 1.9%), and in labor force | age 45-54 (81.2% compared to 82.9%, a difference of 2.1%).

When considering family structure, the most significant differences between Nonimmigrants and Immigrants from Australia communities in the United States are seen in births to unmarried women (35.5% compared to 26.6%, a difference of 33.5%), single mother households (6.7% compared to 5.1%, a difference of 31.2%), and single father households (2.4% compared to 2.0%, a difference of 23.7%). Conversely, both communities are more comparable in terms of currently married (46.9% compared to 47.3%, a difference of 0.74%), married-couple households (46.9% compared to 46.5%, a difference of 0.77%), and average family size (3.19 compared to 3.13, a difference of 2.0%).

When considering vehicle availability, the most significant differences between Nonimmigrants and Immigrants from Australia communities in the United States are seen in no vehicles in household (7.9% compared to 13.8%, a difference of 75.0%), 4 or more vehicles in household (7.2% compared to 5.8%, a difference of 24.3%), and 3 or more vehicles in household (21.8% compared to 18.1%, a difference of 20.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.2% compared to 86.4%, a difference of 6.8%), 2 or more vehicles in household (58.8% compared to 52.4%, a difference of 12.1%), and 3 or more vehicles in household (21.8% compared to 18.1%, a difference of 20.5%).

When considering education level, the most significant differences between Nonimmigrants and Immigrants from Australia communities in the United States are seen in professional degree (3.9% compared to 6.9%, a difference of 77.1%), doctorate degree (1.7% compared to 2.8%, a difference of 66.6%), and master's degree (13.3% compared to 20.9%, a difference of 56.6%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 98.3%, a difference of 0.040%), kindergarten (98.3% compared to 98.3%, a difference of 0.040%), and 1st grade (98.2% compared to 98.3%, a difference of 0.040%).

When considering disability, the most significant differences between Nonimmigrants and Immigrants from Australia communities in the United States are seen in disability age under 5 (1.6% compared to 1.2%, a difference of 38.3%), disability age 35 to 64 (13.0% compared to 9.7%, a difference of 35.0%), and vision disability (2.5% compared to 1.9%, a difference of 27.2%). Conversely, both communities are more comparable in terms of cognitive disability (17.4% compared to 17.1%, a difference of 1.5%), disability age over 75 (48.0% compared to 45.5%, a difference of 5.7%), and self-care disability (2.6% compared to 2.3%, a difference of 16.5%).