Pennsylvania German vs Immigrants from Australia Community Comparison

The statistical analysis conducted on geographies consisting of 130,655,576 people shows no correlation between the proportion of Immigrants from Australia within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.038. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.002% in Immigrants from Australia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 2.2 Immigrants from Australia.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Australia communities in the United States are seen in per capita income ($37,842 compared to $57,953, a difference of 53.1%), median family income ($91,763 compared to $126,620, a difference of 38.0%), and median household income ($75,814 compared to $102,562, a difference of 35.3%). Conversely, both communities are more comparable in terms of wage/income gap (30.7% compared to 28.2%, a difference of 8.8%), householder income under 25 years ($50,852 compared to $56,660, a difference of 11.4%), and householder income ages 45 - 64 years ($91,956 compared to $119,308, a difference of 29.7%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Australia communities in the United States are seen in child poverty under the age of 5 (19.8% compared to 14.6%, a difference of 35.1%), female poverty among 25-34 year olds (15.4% compared to 11.9%, a difference of 29.5%), and child poverty among boys under 16 (17.9% compared to 13.9%, a difference of 28.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.8% compared to 12.2%, a difference of 3.9%), seniors poverty over the age of 65 (9.9% compared to 10.5%, a difference of 6.3%), and female poverty among 18-24 year olds (19.7% compared to 20.9%, a difference of 6.5%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Australia communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 6.8%, a difference of 59.5%), unemployment among women with children ages 6 to 17 years (11.0% compared to 8.3%, a difference of 32.6%), and unemployment among seniors over 75 years (10.2% compared to 8.0%, a difference of 26.4%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 9.9%, a difference of 1.4%), female unemployment (4.8% compared to 5.0%, a difference of 3.3%), and unemployment among ages 55 to 59 years (4.7% compared to 4.9%, a difference of 3.9%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Australia communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 35.1%, a difference of 32.5%), in labor force | age 20-24 (78.0% compared to 74.6%, a difference of 4.6%), and in labor force | age > 16 (63.4% compared to 65.9%, a difference of 4.0%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.6% compared to 82.9%, a difference of 1.5%), in labor force | age 20-64 (78.4% compared to 80.0%, a difference of 2.1%), and in labor force | age 25-29 (83.6% compared to 85.3%, a difference of 2.1%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Australia communities in the United States are seen in births to unmarried women (34.0% compared to 26.6%, a difference of 27.7%), single father households (2.4% compared to 2.0%, a difference of 23.8%), and single mother households (5.8% compared to 5.1%, a difference of 14.1%). Conversely, both communities are more comparable in terms of average family size (3.19 compared to 3.13, a difference of 2.2%), currently married (49.6% compared to 47.3%, a difference of 4.9%), and family households with children (27.4% compared to 26.0%, a difference of 5.2%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Australia communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.8%, a difference of 31.1%), no vehicles in household (11.0% compared to 13.8%, a difference of 25.6%), and 3 or more vehicles in household (22.3% compared to 18.1%, a difference of 23.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 86.4%, a difference of 3.4%), 2 or more vehicles in household (58.5% compared to 52.4%, a difference of 11.6%), and 3 or more vehicles in household (22.3% compared to 18.1%, a difference of 23.6%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Australia communities in the United States are seen in professional degree (3.0% compared to 6.9%, a difference of 132.3%), doctorate degree (1.4% compared to 2.8%, a difference of 102.9%), and master's degree (10.7% compared to 20.9%, a difference of 94.3%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.3%, a difference of 0.31%), kindergarten (98.6% compared to 98.3%, a difference of 0.32%), and 1st grade (98.6% compared to 98.3%, a difference of 0.32%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Australia communities in the United States are seen in disability age under 5 (1.9% compared to 1.2%, a difference of 68.0%), disability age 35 to 64 (12.8% compared to 9.7%, a difference of 32.9%), and disability age 5 to 17 (6.6% compared to 5.0%, a difference of 31.1%). Conversely, both communities are more comparable in terms of cognitive disability (16.6% compared to 17.1%, a difference of 3.4%), disability age over 75 (47.2% compared to 45.5%, a difference of 3.7%), and self-care disability (2.5% compared to 2.3%, a difference of 8.6%).