Immigrants from Asia vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 229,838,724 people shows a poor negative correlation between the proportion of Pennsylvania Germans within Immigrant from Asia communities in the United States with a correlation coefficient (R) of -0.190. On average, for every 1% (one percent) increase in Immigrants from Asia within a typical geography, there is a decrease of 0.002% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Asia corresponds to a decrease of 1.6 Pennsylvania Germans.

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

When considering poverty, the most significant differences between Immigrants from Asia and Pennsylvania German communities in the United States are seen in child poverty under the age of 5 (14.4% compared to 19.8%, a difference of 37.4%), single male poverty (11.4% compared to 15.6%, a difference of 36.7%), and single father poverty (14.7% compared to 20.0%, a difference of 35.8%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.2% compared to 11.8%, a difference of 3.6%), married-couple family poverty (4.8% compared to 5.1%, a difference of 5.4%), and female poverty among 18-24 year olds (18.6% compared to 19.7%, a difference of 6.0%).

When considering unemployment, the most significant differences between Immigrants from Asia and Pennsylvania German communities in the United States are seen in unemployment among women with children under 6 years (6.8% compared to 10.8%, a difference of 58.8%), unemployment among women with children ages 6 to 17 years (8.1% compared to 11.0%, a difference of 36.5%), and unemployment among seniors over 75 years (8.3% compared to 10.2%, a difference of 22.2%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.8% compared to 4.7%, a difference of 0.68%), unemployment among ages 20 to 24 years (10.3% compared to 10.0%, a difference of 2.1%), and unemployment among ages 60 to 64 years (4.9% compared to 4.8%, a difference of 2.7%).

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

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

When considering vehicle availability, the most significant differences between Immigrants from Asia and Pennsylvania German communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 7.6%, a difference of 12.4%), 3 or more vehicles in household (20.2% compared to 22.3%, a difference of 10.4%), and 2 or more vehicles in household (56.3% compared to 58.5%, 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 (10.9% compared to 11.0%, a difference of 1.3%), and 2 or more vehicles in household (56.3% compared to 58.5%, a difference of 3.8%).

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

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