Immigrants from Eastern Asia vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 221,098,592 people shows a moderate negative correlation between the proportion of Pennsylvania Germans within Immigrant from Eastern Asia communities in the United States with a correlation coefficient (R) of -0.412. On average, for every 1% (one percent) increase in Immigrants from Eastern 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 Eastern Asia corresponds to a decrease of 2.2 Pennsylvania Germans.

When considering income, the most significant differences between Immigrants from Eastern Asia and Pennsylvania German communities in the United States are seen in per capita income ($53,806 compared to $37,842, a difference of 42.2%), median household income ($104,796 compared to $75,814, a difference of 38.2%), and householder income ages 25 - 44 years ($118,056 compared to $85,836, a difference of 37.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,123 compared to $50,852, a difference of 12.3%), wage/income gap (27.1% compared to 30.7%, a difference of 13.4%), and median male earnings ($66,903 compared to $50,878, a difference of 31.5%).

When considering poverty, the most significant differences between Immigrants from Eastern Asia and Pennsylvania German communities in the United States are seen in child poverty under the age of 5 (13.5% compared to 19.8%, a difference of 46.3%), female poverty among 25-34 year olds (11.2% compared to 15.4%, a difference of 37.6%), and single male poverty (11.4% compared to 15.6%, a difference of 36.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.8% compared to 19.7%, a difference of 0.51%), married-couple family poverty (4.8% compared to 5.1%, a difference of 6.2%), and poverty (11.3% compared to 12.2%, a difference of 7.8%).

When considering unemployment, the most significant differences between Immigrants from Eastern Asia and Pennsylvania German communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 10.8%, a difference of 70.9%), unemployment among women with children ages 6 to 17 years (7.7% compared to 11.0%, a difference of 42.8%), and unemployment among seniors over 75 years (7.9% compared to 10.2%, a difference of 29.0%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.3% compared to 10.0%, a difference of 2.5%), unemployment among ages 55 to 59 years (4.8% compared to 4.7%, a difference of 2.6%), and unemployment among ages 45 to 54 years (4.4% compared to 4.3%, a difference of 3.7%).

When considering labor participation, the most significant differences between Immigrants from Eastern Asia and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (32.0% compared to 46.4%, a difference of 45.0%), in labor force | age 20-24 (71.8% compared to 78.0%, a difference of 8.6%), and in labor force | age > 16 (65.7% compared to 63.4%, a difference of 3.6%). 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 20-64 (79.9% compared to 78.4%, a difference of 1.9%), and in labor force | age 45-54 (83.4% compared to 81.6%, a difference of 2.1%).

When considering family structure, the most significant differences between Immigrants from Eastern Asia and Pennsylvania German communities in the United States are seen in births to unmarried women (25.0% compared to 34.0%, a difference of 35.8%), single father households (1.9% compared to 2.4%, a difference of 29.6%), and divorced or separated (10.2% compared to 12.1%, a difference of 17.8%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.19, a difference of 0.88%), family households with children (27.7% compared to 27.4%, a difference of 1.1%), and family households (64.9% compared to 66.1%, a difference of 1.9%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Asia and Pennsylvania German communities in the United States are seen in no vehicles in household (13.5% compared to 11.0%, a difference of 23.2%), 4 or more vehicles in household (6.2% compared to 7.6%, a difference of 22.6%), and 3 or more vehicles in household (18.8% compared to 22.3%, a difference of 18.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.5% compared to 89.3%, a difference of 3.2%), 2 or more vehicles in household (53.2% compared to 58.5%, a difference of 9.9%), and 3 or more vehicles in household (18.8% compared to 22.3%, a difference of 18.6%).

When considering education level, the most significant differences between Immigrants from Eastern Asia and Pennsylvania German communities in the United States are seen in professional degree (6.6% compared to 3.0%, a difference of 120.9%), doctorate degree (3.0% compared to 1.4%, a difference of 114.7%), and master's degree (20.8% compared to 10.7%, a difference of 93.9%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.6%, a difference of 0.98%), kindergarten (97.6% compared to 98.6%, a difference of 0.98%), and 1st grade (97.6% compared to 98.6%, a difference of 1.0%).

When considering disability, the most significant differences between Immigrants from Eastern Asia and Pennsylvania German communities in the United States are seen in disability age under 5 (1.0% compared to 1.9%, a difference of 90.9%), disability age 35 to 64 (8.8% compared to 12.8%, a difference of 46.3%), and disability age 5 to 17 (4.6% compared to 6.6%, a difference of 43.6%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 16.6%, a difference of 1.4%), disability age over 75 (46.2% compared to 47.2%, a difference of 2.2%), and self-care disability (2.3% compared to 2.5%, a difference of 6.8%).