Danish vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 216,520,018 people shows a mild positive correlation between the proportion of Pennsylvania Germans within Danish communities in the United States with a correlation coefficient (R) of 0.389. On average, for every 1% (one percent) increase in Danes within a typical geography, there is an increase of 0.069% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Danes corresponds to an increase of 68.6 Pennsylvania Germans.

When considering income, the most significant differences between Danish and Pennsylvania German communities in the United States are seen in householder income over 65 years ($63,117 compared to $52,888, a difference of 19.3%), per capita income ($44,095 compared to $37,842, a difference of 16.5%), and median household income ($87,676 compared to $75,814, a difference of 15.7%). Conversely, both communities are more comparable in terms of wage/income gap (31.0% compared to 30.7%, a difference of 0.84%), householder income under 25 years ($53,041 compared to $50,852, a difference of 4.3%), and median female earnings ($37,730 compared to $34,802, a difference of 8.4%).

When considering poverty, the most significant differences between Danish and Pennsylvania German communities in the United States are seen in child poverty under the age of 5 (14.9% compared to 19.8%, a difference of 32.5%), child poverty among boys under 16 (13.6% compared to 17.9%, a difference of 31.5%), and child poverty under the age of 16 (13.4% compared to 17.4%, a difference of 30.0%). 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 0.81%), seniors poverty over the age of 65 (8.8% compared to 9.9%, a difference of 12.2%), and female poverty (11.7% compared to 13.2%, a difference of 12.5%).

When considering unemployment, the most significant differences between Danish and Pennsylvania German communities in the United States are seen in unemployment among women with children under 6 years (7.1% compared to 10.8%, a difference of 50.8%), unemployment among women with children ages 6 to 17 years (8.1% compared to 11.0%, a difference of 35.6%), and unemployment among ages 30 to 34 years (5.0% compared to 6.3%, a difference of 26.5%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (10.3% compared to 10.6%, a difference of 3.0%), unemployment among seniors over 75 years (9.7% compared to 10.2%, a difference of 5.1%), and unemployment (4.3% compared to 4.6%, a difference of 5.9%).

When considering labor participation, the most significant differences between Danish and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (44.7% compared to 46.4%, a difference of 3.9%), in labor force | age > 16 (65.3% compared to 63.4%, a difference of 3.0%), and in labor force | age 45-54 (83.3% compared to 81.6%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (79.0% compared to 78.0%, a difference of 1.3%), in labor force | age 25-29 (84.8% compared to 83.6%, a difference of 1.4%), and in labor force | age 35-44 (84.3% compared to 82.9%, a difference of 1.7%).

When considering family structure, the most significant differences between Danish and Pennsylvania German communities in the United States are seen in births to unmarried women (28.7% compared to 34.0%, a difference of 18.5%), single mother households (5.5% compared to 5.8%, a difference of 5.1%), and family households with children (28.7% compared to 27.4%, a difference of 5.0%). Conversely, both communities are more comparable in terms of family households (66.0% compared to 66.1%, a difference of 0.15%), average family size (3.17 compared to 3.19, a difference of 0.64%), and married-couple households (51.1% compared to 50.4%, a difference of 1.4%).

When considering vehicle availability, the most significant differences between Danish and Pennsylvania German communities in the United States are seen in no vehicles in household (6.6% compared to 11.0%, a difference of 67.0%), 4 or more vehicles in household (8.6% compared to 7.6%, a difference of 12.5%), and 3 or more vehicles in household (24.7% compared to 22.3%, a difference of 10.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.5% compared to 89.3%, a difference of 4.8%), 2 or more vehicles in household (63.3% compared to 58.5%, a difference of 8.2%), and 3 or more vehicles in household (24.7% compared to 22.3%, a difference of 10.7%).

When considering education level, the most significant differences between Danish and Pennsylvania German communities in the United States are seen in professional degree (4.4% compared to 3.0%, a difference of 46.8%), doctorate degree (1.9% compared to 1.4%, a difference of 37.8%), and master's degree (14.5% compared to 10.7%, a difference of 35.4%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.6%, a difference of 0.0%), kindergarten (98.6% compared to 98.6%, a difference of 0.0%), and 1st grade (98.6% compared to 98.6%, a difference of 0.0%).

When considering disability, the most significant differences between Danish and Pennsylvania German communities in the United States are seen in disability age under 5 (1.5% compared to 1.9%, a difference of 32.1%), disability age 5 to 17 (5.7% compared to 6.6%, a difference of 16.1%), and ambulatory disability (5.8% compared to 6.8%, a difference of 15.5%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.6%, a difference of 0.97%), disability age over 75 (46.2% compared to 47.2%, a difference of 2.1%), and disability age 18 to 34 (7.5% compared to 7.8%, a difference of 4.1%).