Pennsylvania German vs Immigrants from Asia Community Comparison

The statistical analysis conducted on geographies consisting of 10,088,498 people shows a substantial negative correlation between the proportion of Immigrants from Asia within Pennsylvania German communities in the United States with a correlation coefficient (R) of -0.534. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is a decrease of 0.040% in Immigrants from Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to a decrease of 40.3 Immigrants from Asia.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Asia communities in the United States are seen in median household income ($75,814 compared to $99,933, a difference of 31.8%), per capita income ($37,842 compared to $49,741, a difference of 31.5%), and householder income ages 25 - 44 years ($85,836 compared to $110,787, a difference of 29.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $56,379, a difference of 10.9%), wage/income gap (30.7% compared to 27.0%, a difference of 13.9%), and median male earnings ($50,878 compared to $63,240, a difference of 24.3%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Asia communities in the United States are seen in child poverty under the age of 5 (19.8% compared to 14.4%, a difference of 37.4%), single male poverty (15.6% compared to 11.4%, a difference of 36.7%), and single father poverty (20.0% compared to 14.7%, a difference of 35.8%). 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 3.6%), married-couple family poverty (5.1% compared to 4.8%, a difference of 5.4%), and female poverty among 18-24 year olds (19.7% compared to 18.6%, a difference of 6.0%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Asia 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 58.8%), unemployment among women with children ages 6 to 17 years (11.0% compared to 8.1%, a difference of 36.5%), and unemployment among seniors over 75 years (10.2% compared to 8.3%, a difference of 22.2%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.8%, a difference of 0.68%), unemployment among ages 20 to 24 years (10.0% compared to 10.3%, a difference of 2.1%), and unemployment among ages 60 to 64 years (4.8% compared to 4.9%, a difference of 2.7%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Asia communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 34.1%, a difference of 36.1%), in labor force | age 20-24 (78.0% compared to 73.6%, a difference of 5.9%), and in labor force | age > 16 (63.4% compared to 66.1%, a difference of 4.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 84.8%, a difference of 1.4%), in labor force | age 35-44 (82.9% compared to 84.5%, a difference of 2.0%), and in labor force | age 45-54 (81.6% compared to 83.3%, a difference of 2.1%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Asia communities in the United States are seen in births to unmarried women (34.0% compared to 26.8%, a difference of 26.9%), single father households (2.4% compared to 2.1%, a difference of 17.3%), and divorced or separated (12.1% compared to 10.7%, a difference of 12.4%). Conversely, both communities are more comparable in terms of family households (66.1% compared to 66.1%, a difference of 0.11%), average family size (3.19 compared to 3.27, a difference of 2.3%), and married-couple households (50.4% compared to 49.1%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Asia communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.8%, a difference of 12.4%), 3 or more vehicles in household (22.3% compared to 20.2%, a difference of 10.4%), and 2 or more vehicles in household (58.5% compared to 56.3%, a difference of 3.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 89.3%, a difference of 0.0%), no vehicles in household (11.0% compared to 10.9%, a difference of 1.3%), and 2 or more vehicles in household (58.5% compared to 56.3%, a difference of 3.8%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Asia communities in the United States are seen in professional degree (3.0% compared to 5.5%, a difference of 85.2%), doctorate degree (1.4% compared to 2.4%, a difference of 75.7%), and master's degree (10.7% compared to 18.4%, a difference of 71.5%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.6%, a difference of 1.0%), kindergarten (98.6% compared to 97.6%, a difference of 1.1%), and 1st grade (98.6% compared to 97.5%, a difference of 1.1%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Asia communities in the United States are seen in disability age under 5 (1.9% compared to 1.1%, a difference of 83.6%), hearing disability (3.7% compared to 2.7%, a difference of 36.1%), and disability age 5 to 17 (6.6% compared to 4.8%, a difference of 35.7%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 47.0%, a difference of 0.29%), cognitive disability (16.6% compared to 16.8%, a difference of 1.3%), and self-care disability (2.5% compared to 2.4%, a difference of 4.1%).