Pennsylvania German vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 209,600,174 people shows a mild negative correlation between the proportion of Immigrants from China within Pennsylvania German communities in the United States with a correlation coefficient (R) of -0.311. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is a decrease of 0.014% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to a decrease of 13.6 Immigrants from China.

When considering income, the most significant differences between Pennsylvania German and Immigrants from China communities in the United States are seen in per capita income ($37,842 compared to $54,264, a difference of 43.4%), householder income ages 25 - 44 years ($85,836 compared to $119,756, a difference of 39.5%), and median household income ($75,814 compared to $105,335, a difference of 38.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $57,931, a difference of 13.9%), wage/income gap (30.7% compared to 26.7%, a difference of 15.1%), and householder income over 65 years ($52,888 compared to $69,174, a difference of 30.8%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from China communities in the United States are seen in child poverty under the age of 5 (19.8% compared to 13.6%, a difference of 45.4%), female poverty among 25-34 year olds (15.4% compared to 11.2%, a difference of 37.7%), and single male poverty (15.6% compared to 11.4%, a difference of 36.8%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.7% compared to 20.2%, a difference of 2.6%), married-couple family poverty (5.1% compared to 5.0%, a difference of 2.8%), and poverty (12.2% compared to 11.6%, a difference of 4.7%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from China communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 6.2%, a difference of 72.9%), unemployment among women with children ages 6 to 17 years (11.0% compared to 7.7%, a difference of 43.5%), and unemployment among seniors over 75 years (10.2% compared to 7.8%, a difference of 30.9%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.4%, a difference of 3.3%), unemployment among seniors over 65 years (5.4% compared to 5.2%, a difference of 3.8%), and unemployment among ages 55 to 59 years (4.7% compared to 5.0%, a difference of 5.2%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 31.1%, a difference of 49.1%), in labor force | age 20-24 (78.0% compared to 71.1%, a difference of 9.7%), and in labor force | age 30-34 (82.6% compared to 85.4%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 84.6%, a difference of 1.2%), in labor force | age 20-64 (78.4% compared to 79.7%, a difference of 1.6%), and in labor force | age 45-54 (81.6% compared to 83.2%, a difference of 1.9%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from China communities in the United States are seen in births to unmarried women (34.0% compared to 24.7%, a difference of 37.8%), single father households (2.4% compared to 1.8%, a difference of 32.6%), and divorced or separated (12.1% compared to 10.0%, a difference of 20.1%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.4%, a difference of 0.27%), average family size (3.19 compared to 3.23, a difference of 1.1%), and family households (66.1% compared to 64.7%, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from China communities in the United States are seen in no vehicles in household (11.0% compared to 15.2%, a difference of 37.7%), 4 or more vehicles in household (7.6% compared to 6.0%, a difference of 26.3%), and 3 or more vehicles in household (22.3% compared to 18.2%, a difference of 22.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 84.9%, a difference of 5.1%), 2 or more vehicles in household (58.5% compared to 51.5%, a difference of 13.6%), and 3 or more vehicles in household (22.3% compared to 18.2%, a difference of 22.7%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from China communities in the United States are seen in professional degree (3.0% compared to 6.7%, a difference of 126.4%), doctorate degree (1.4% compared to 3.1%, a difference of 123.6%), and master's degree (10.7% compared to 21.2%, a difference of 97.2%). Conversely, both communities are more comparable in terms of 9th grade (93.3% compared to 94.3%, a difference of 1.1%), nursery school (98.6% compared to 97.5%, a difference of 1.2%), and kindergarten (98.6% compared to 97.4%, a difference of 1.2%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from China communities in the United States are seen in disability age under 5 (1.9% compared to 0.96%, a difference of 102.6%), disability age 35 to 64 (12.8% compared to 8.7%, a difference of 47.7%), and disability age 5 to 17 (6.6% compared to 4.5%, a difference of 45.4%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 46.3%, a difference of 1.8%), cognitive disability (16.6% compared to 16.9%, a difference of 2.1%), and self-care disability (2.5% compared to 2.3%, a difference of 5.7%).