Pennsylvania German vs White/Caucasian Community Comparison

The statistical analysis conducted on geographies consisting of 11,948,617 people shows a substantial positive correlation between the proportion of Whites/Caucasians within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.590. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.139% in Whites/Caucasians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 138.9 Whites/Caucasians.

When considering income, the most significant differences between Pennsylvania German and White/Caucasian communities in the United States are seen in per capita income ($37,842 compared to $42,180, a difference of 11.5%), householder income over 65 years ($52,888 compared to $58,847, a difference of 11.3%), and median family income ($91,763 compared to $99,800, a difference of 8.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $50,336, a difference of 1.0%), median male earnings ($50,878 compared to $53,925, a difference of 6.0%), and median earnings ($42,615 compared to $45,197, a difference of 6.1%).

When considering poverty, the most significant differences between Pennsylvania German and White/Caucasian communities in the United States are seen in child poverty under the age of 5 (19.8% compared to 18.1%, a difference of 9.3%), single father poverty (20.0% compared to 18.4%, a difference of 9.0%), and child poverty among boys under 16 (17.9% compared to 16.5%, a difference of 8.7%). Conversely, both communities are more comparable in terms of family poverty (8.8% compared to 8.8%, a difference of 0.48%), poverty (12.2% compared to 12.3%, a difference of 0.55%), and male poverty (11.2% compared to 11.1%, a difference of 0.62%).

When considering unemployment, the most significant differences between Pennsylvania German and White/Caucasian communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 8.4%, a difference of 28.7%), unemployment among women with children ages 6 to 17 years (11.0% compared to 9.6%, a difference of 14.5%), and unemployment among ages 30 to 34 years (6.3% compared to 5.7%, a difference of 10.7%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.38%), unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 0.64%), and unemployment among ages 20 to 24 years (10.0% compared to 10.1%, a difference of 0.75%).

When considering labor participation, the most significant differences between Pennsylvania German and White/Caucasian communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 41.3%, a difference of 12.4%), in labor force | age 30-34 (82.6% compared to 83.9%, a difference of 1.5%), and in labor force | age 20-24 (78.0% compared to 76.9%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (78.4% compared to 78.5%, a difference of 0.14%), in labor force | age 45-54 (81.6% compared to 81.9%, a difference of 0.27%), and in labor force | age > 16 (63.4% compared to 63.6%, a difference of 0.36%).

When considering family structure, the most significant differences between Pennsylvania German and White/Caucasian communities in the United States are seen in single mother households (5.8% compared to 6.1%, a difference of 5.1%), divorced or separated (12.1% compared to 12.6%, a difference of 4.6%), and married-couple households (50.4% compared to 48.6%, a difference of 3.6%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.4%, a difference of 0.28%), family households (66.1% compared to 65.1%, a difference of 1.6%), and average family size (3.19 compared to 3.14, a difference of 1.6%).

When considering vehicle availability, the most significant differences between Pennsylvania German and White/Caucasian communities in the United States are seen in no vehicles in household (11.0% compared to 7.0%, a difference of 56.4%), 1 or more vehicles in household (89.3% compared to 93.1%, a difference of 4.3%), and 2 or more vehicles in household (58.5% compared to 60.8%, a difference of 4.0%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (22.3% compared to 22.6%, a difference of 1.1%), 4 or more vehicles in household (7.6% compared to 7.4%, a difference of 3.4%), and 2 or more vehicles in household (58.5% compared to 60.8%, a difference of 4.0%).

When considering education level, the most significant differences between Pennsylvania German and White/Caucasian communities in the United States are seen in professional degree (3.0% compared to 4.1%, a difference of 37.1%), master's degree (10.7% compared to 13.8%, a difference of 28.6%), and doctorate degree (1.4% compared to 1.8%, a difference of 27.2%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.5%, a difference of 0.18%), kindergarten (98.6% compared to 98.4%, a difference of 0.18%), and 1st grade (98.6% compared to 98.4%, a difference of 0.18%).

When considering disability, the most significant differences between Pennsylvania German and White/Caucasian communities in the United States are seen in disability age under 5 (1.9% compared to 1.7%, a difference of 17.4%), vision disability (2.2% compared to 2.4%, a difference of 6.8%), and disability age 5 to 17 (6.6% compared to 6.2%, a difference of 6.1%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 47.3%, a difference of 0.37%), ambulatory disability (6.8% compared to 6.7%, a difference of 0.90%), and male disability (13.0% compared to 12.8%, a difference of 1.1%).