Pennsylvania German vs Immigrants from Korea Community Comparison

The statistical analysis conducted on geographies consisting of 198,995,393 people shows a mild negative correlation between the proportion of Immigrants from Korea within Pennsylvania German communities in the United States with a correlation coefficient (R) of -0.383. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is a decrease of 0.008% in Immigrants from Korea. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to a decrease of 7.7 Immigrants from Korea.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Korea communities in the United States are seen in per capita income ($37,842 compared to $51,671, a difference of 36.5%), median household income ($75,814 compared to $102,962, a difference of 35.8%), and median family income ($91,763 compared to $122,800, a difference of 33.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $55,716, a difference of 9.6%), wage/income gap (30.7% compared to 27.8%, a difference of 10.4%), and median male earnings ($50,878 compared to $65,079, a difference of 27.9%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Korea communities in the United States are seen in child poverty under the age of 5 (19.8% compared to 13.2%, a difference of 49.3%), female poverty among 25-34 year olds (15.4% compared to 11.1%, a difference of 38.4%), and child poverty among boys under 16 (17.9% compared to 13.0%, a difference of 37.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.8% compared to 12.0%, a difference of 2.0%), seniors poverty over the age of 65 (9.9% compared to 10.3%, a difference of 4.1%), and female poverty among 18-24 year olds (19.7% compared to 18.6%, a difference of 5.6%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Korea communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 6.5%, a difference of 65.4%), unemployment among women with children ages 6 to 17 years (11.0% compared to 7.9%, a difference of 39.3%), and unemployment among seniors over 75 years (10.2% compared to 8.1%, a difference of 25.3%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 0.23%), unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 1.6%), and unemployment among ages 20 to 24 years (10.0% compared to 10.3%, a difference of 2.2%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Korea communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 33.8%, a difference of 37.3%), in labor force | age 20-24 (78.0% compared to 73.1%, a difference of 6.6%), and in labor force | age > 16 (63.4% compared to 66.2%, a difference of 4.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 85.1%, a difference of 1.8%), in labor force | age 35-44 (82.9% compared to 84.6%, a difference of 2.1%), and in labor force | age 20-64 (78.4% compared to 80.3%, a difference of 2.4%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Korea communities in the United States are seen in births to unmarried women (34.0% compared to 26.3%, a difference of 29.4%), single father households (2.4% compared to 2.0%, a difference of 20.8%), and divorced or separated (12.1% compared to 10.6%, a difference of 13.6%). Conversely, both communities are more comparable in terms of family households (66.1% compared to 66.0%, a difference of 0.12%), married-couple households (50.4% compared to 49.9%, a difference of 0.98%), and average family size (3.19 compared to 3.23, a difference of 0.99%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Korea communities in the United States are seen in no vehicles in household (11.0% compared to 9.6%, a difference of 14.7%), 4 or more vehicles in household (7.6% compared to 6.8%, a difference of 12.7%), and 3 or more vehicles in household (22.3% compared to 20.5%, a difference of 9.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 90.5%, a difference of 1.4%), 2 or more vehicles in household (58.5% compared to 57.6%, a difference of 1.7%), and 3 or more vehicles in household (22.3% compared to 20.5%, a difference of 9.0%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Korea communities in the United States are seen in professional degree (3.0% compared to 6.1%, a difference of 105.1%), doctorate degree (1.4% compared to 2.6%, a difference of 90.3%), and master's degree (10.7% compared to 19.7%, a difference of 83.5%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.0%, a difference of 0.65%), kindergarten (98.6% compared to 98.0%, a difference of 0.66%), and 1st grade (98.6% compared to 97.9%, a difference of 0.67%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Korea communities in the United States are seen in disability age under 5 (1.9% compared to 1.1%, a difference of 74.7%), disability age 35 to 64 (12.8% compared to 9.0%, a difference of 43.2%), and disability age 5 to 17 (6.6% compared to 4.7%, a difference of 40.4%). Conversely, both communities are more comparable in terms of cognitive disability (16.6% compared to 16.5%, a difference of 0.41%), disability age over 75 (47.2% compared to 45.8%, a difference of 3.0%), and self-care disability (2.5% compared to 2.3%, a difference of 8.7%).