Pennsylvania German vs Immigrants from Oceania Community Comparison

The statistical analysis conducted on geographies consisting of 159,096,679 people shows no correlation between the proportion of Immigrants from Oceania within Pennsylvania German communities in the United States with a correlation coefficient (R) of -0.025. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is a decrease of 0.002% in Immigrants from Oceania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to a decrease of 2.1 Immigrants from Oceania.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Oceania communities in the United States are seen in householder income over 65 years ($52,888 compared to $64,416, a difference of 21.8%), wage/income gap (30.7% compared to 25.6%, a difference of 19.7%), and per capita income ($37,842 compared to $45,220, a difference of 19.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $53,680, a difference of 5.6%), median male earnings ($50,878 compared to $55,712, a difference of 9.5%), and median earnings ($42,615 compared to $47,617, a difference of 11.7%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Oceania communities in the United States are seen in single father poverty (20.0% compared to 15.4%, a difference of 29.6%), single male poverty (15.6% compared to 12.4%, a difference of 25.5%), and child poverty under the age of 5 (19.8% compared to 16.9%, a difference of 17.0%). Conversely, both communities are more comparable in terms of male poverty (11.2% compared to 11.2%, a difference of 0.040%), receiving food stamps (11.4% compared to 11.4%, a difference of 0.34%), and female poverty among 18-24 year olds (19.7% compared to 19.7%, a difference of 0.40%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Oceania communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 7.5%, a difference of 43.9%), unemployment among women with children ages 6 to 17 years (11.0% compared to 8.1%, a difference of 36.5%), and unemployment among ages 30 to 34 years (6.3% compared to 5.4%, a difference of 16.6%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.83%), unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.89%), and unemployment among ages 60 to 64 years (4.8% compared to 4.7%, a difference of 2.3%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Oceania communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 37.9%, a difference of 22.6%), in labor force | age > 16 (63.4% compared to 65.5%, a difference of 3.3%), and in labor force | age 20-24 (78.0% compared to 76.1%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.6% compared to 82.1%, a difference of 0.57%), in labor force | age 25-29 (83.6% compared to 84.2%, a difference of 0.70%), and in labor force | age 20-64 (78.4% compared to 79.3%, a difference of 1.2%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Oceania communities in the United States are seen in births to unmarried women (34.0% compared to 30.6%, a difference of 11.2%), single mother households (5.8% compared to 6.3%, a difference of 8.0%), and married-couple households (50.4% compared to 46.9%, a difference of 7.3%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.5%, a difference of 0.42%), divorced or separated (12.1% compared to 11.9%, a difference of 1.1%), and family households (66.1% compared to 64.9%, a difference of 1.9%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Oceania communities in the United States are seen in no vehicles in household (11.0% compared to 9.7%, a difference of 13.1%), 3 or more vehicles in household (22.3% compared to 21.8%, a difference of 2.5%), and 2 or more vehicles in household (58.5% compared to 57.5%, a difference of 1.7%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (7.6% compared to 7.6%, a difference of 0.14%), 1 or more vehicles in household (89.3% compared to 90.4%, a difference of 1.2%), and 2 or more vehicles in household (58.5% compared to 57.5%, a difference of 1.7%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Oceania communities in the United States are seen in professional degree (3.0% compared to 4.6%, a difference of 53.7%), no schooling completed (1.5% compared to 2.2%, a difference of 51.3%), and doctorate degree (1.4% compared to 1.9%, a difference of 38.3%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.8%, a difference of 0.83%), kindergarten (98.6% compared to 97.8%, a difference of 0.83%), and 1st grade (98.6% compared to 97.8%, a difference of 0.84%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Oceania communities in the United States are seen in disability age under 5 (1.9% compared to 1.2%, a difference of 67.9%), disability age 5 to 17 (6.6% compared to 5.4%, a difference of 20.9%), and hearing disability (3.7% compared to 3.2%, a difference of 17.4%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (24.0% compared to 24.0%, a difference of 0.040%), self-care disability (2.5% compared to 2.5%, a difference of 1.3%), and disability age over 75 (47.2% compared to 48.0%, a difference of 1.8%).