Pennsylvania German vs Immigrants from Hong Kong Community Comparison

The statistical analysis conducted on geographies consisting of 138,518,815 people shows a weak positive correlation between the proportion of Immigrants from Hong Kong within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.275. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.066% in Immigrants from Hong Kong. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 66.0 Immigrants from Hong Kong.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Hong Kong communities in the United States are seen in per capita income ($37,842 compared to $56,709, a difference of 49.9%), householder income ages 25 - 44 years ($85,836 compared to $128,140, a difference of 49.3%), and median household income ($75,814 compared to $111,519, a difference of 47.1%). Conversely, both communities are more comparable in terms of wage/income gap (30.7% compared to 25.5%, a difference of 20.3%), householder income under 25 years ($50,852 compared to $62,083, a difference of 22.1%), and householder income over 65 years ($52,888 compared to $71,567, a difference of 35.3%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Hong Kong communities in the United States are seen in child poverty under the age of 5 (19.8% compared to 12.4%, a difference of 59.1%), single male poverty (15.6% compared to 10.4%, a difference of 49.0%), and female poverty among 25-34 year olds (15.4% compared to 10.4%, a difference of 48.7%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.1% compared to 4.7%, a difference of 8.0%), seniors poverty over the age of 75 (11.8% compared to 12.8%, a difference of 9.0%), and seniors poverty over the age of 65 (9.9% compared to 11.1%, a difference of 12.0%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Hong Kong communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 5.8%, a difference of 86.1%), unemployment among women with children ages 6 to 17 years (11.0% compared to 7.2%, a difference of 53.5%), and unemployment among seniors over 75 years (10.2% compared to 7.6%, a difference of 33.0%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.5%, a difference of 4.0%), unemployment among ages 45 to 54 years (4.3% compared to 4.5%, a difference of 6.0%), and unemployment among seniors over 65 years (5.4% compared to 5.1%, a difference of 6.0%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Hong Kong communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 30.5%, a difference of 52.4%), in labor force | age 20-24 (78.0% compared to 71.6%, a difference of 8.9%), and in labor force | age 30-34 (82.6% compared to 85.8%, a difference of 3.9%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 85.0%, a difference of 1.7%), in labor force | age 45-54 (81.6% compared to 83.6%, a difference of 2.4%), and in labor force | age 20-64 (78.4% compared to 80.4%, a difference of 2.5%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Hong Kong communities in the United States are seen in births to unmarried women (34.0% compared to 23.6%, a difference of 44.2%), single father households (2.4% compared to 1.8%, a difference of 33.6%), and divorced or separated (12.1% compared to 10.0%, a difference of 21.0%). Conversely, both communities are more comparable in terms of family households (66.1% compared to 66.1%, a difference of 0.020%), family households with children (27.4% compared to 27.5%, a difference of 0.62%), and currently married (49.6% compared to 48.9%, a difference of 1.4%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Hong Kong communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.5%, a difference of 17.6%), 3 or more vehicles in household (22.3% compared to 19.2%, a difference of 16.6%), and 2 or more vehicles in household (58.5% compared to 52.6%, a difference of 11.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 88.7%, a difference of 0.59%), no vehicles in household (11.0% compared to 11.3%, a difference of 2.8%), and 2 or more vehicles in household (58.5% compared to 52.6%, a difference of 11.3%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Hong Kong communities in the United States are seen in professional degree (3.0% compared to 6.4%, a difference of 115.6%), doctorate degree (1.4% compared to 2.8%, a difference of 101.0%), and master's degree (10.7% compared to 20.5%, a difference of 90.4%). Conversely, both communities are more comparable in terms of 9th grade (93.3% compared to 94.1%, a difference of 0.91%), 10th grade (91.9% compared to 93.1%, a difference of 1.3%), and nursery school (98.6% compared to 97.4%, a difference of 1.3%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Hong Kong communities in the United States are seen in disability age under 5 (1.9% compared to 0.95%, a difference of 106.0%), disability age 35 to 64 (12.8% compared to 8.2%, a difference of 56.7%), and disability age 5 to 17 (6.6% compared to 4.3%, a difference of 53.2%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 46.5%, a difference of 1.5%), self-care disability (2.5% compared to 2.4%, a difference of 3.0%), and cognitive disability (16.6% compared to 16.0%, a difference of 3.5%).