Immigrants from Denmark vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 90,833,128 people shows a weak positive correlation between the proportion of Pennsylvania Germans within Immigrant from Denmark communities in the United States with a correlation coefficient (R) of 0.225. On average, for every 1% (one percent) increase in Immigrants from Denmark within a typical geography, there is an increase of 0.029% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Denmark corresponds to an increase of 29.4 Pennsylvania Germans.

When considering income, the most significant differences between Immigrants from Denmark and Pennsylvania German communities in the United States are seen in per capita income ($53,799 compared to $37,842, a difference of 42.2%), median family income ($120,445 compared to $91,763, a difference of 31.3%), and householder income over 65 years ($68,801 compared to $52,888, a difference of 30.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,612 compared to $50,852, a difference of 3.5%), wage/income gap (28.5% compared to 30.7%, a difference of 7.6%), and median earnings ($53,186 compared to $42,615, a difference of 24.8%).

When considering poverty, the most significant differences between Immigrants from Denmark and Pennsylvania German communities in the United States are seen in child poverty under the age of 5 (16.0% compared to 19.8%, a difference of 23.3%), female poverty among 25-34 year olds (12.7% compared to 15.4%, a difference of 21.8%), and single father poverty (16.7% compared to 20.0%, a difference of 19.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.8% compared to 11.8%, a difference of 0.12%), seniors poverty over the age of 65 (10.3% compared to 9.9%, a difference of 4.4%), and female poverty among 18-24 year olds (20.8% compared to 19.7%, a difference of 5.7%).

When considering unemployment, the most significant differences between Immigrants from Denmark 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 50.9%), unemployment among seniors over 75 years (7.8% compared to 10.2%, a difference of 31.0%), and unemployment among women with children ages 6 to 17 years (8.7% compared to 11.0%, a difference of 27.4%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.6% compared to 4.7%, a difference of 1.7%), unemployment among ages 20 to 24 years (10.4% compared to 10.0%, a difference of 3.7%), and unemployment among ages 55 to 59 years (4.9% compared to 4.7%, a difference of 4.2%).

When considering labor participation, the most significant differences between Immigrants from Denmark and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (36.1% compared to 46.4%, a difference of 28.8%), in labor force | age 20-24 (74.8% compared to 78.0%, a difference of 4.3%), and in labor force | age 30-34 (85.1% compared to 82.6%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (82.5% compared to 81.6%, a difference of 1.0%), in labor force | age 25-29 (84.6% compared to 83.6%, a difference of 1.1%), and in labor force | age 20-64 (79.4% compared to 78.4%, a difference of 1.3%).

When considering family structure, the most significant differences between Immigrants from Denmark and Pennsylvania German communities in the United States are seen in single father households (2.1% compared to 2.4%, a difference of 18.6%), births to unmarried women (29.4% compared to 34.0%, a difference of 15.5%), and married-couple households (47.3% compared to 50.4%, a difference of 6.5%). Conversely, both communities are more comparable in terms of average family size (3.15 compared to 3.19, a difference of 1.5%), family households with children (26.7% compared to 27.4%, a difference of 2.4%), and divorced or separated (11.6% compared to 12.1%, a difference of 4.1%).

When considering vehicle availability, the most significant differences between Immigrants from Denmark and Pennsylvania German communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 7.6%, a difference of 19.5%), 3 or more vehicles in household (19.6% compared to 22.3%, a difference of 13.9%), and 2 or more vehicles in household (55.3% compared to 58.5%, a difference of 5.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.1% compared to 89.3%, a difference of 0.21%), no vehicles in household (11.1% compared to 11.0%, a difference of 0.92%), and 2 or more vehicles in household (55.3% compared to 58.5%, a difference of 5.7%).

When considering education level, the most significant differences between Immigrants from Denmark and Pennsylvania German communities in the United States are seen in professional degree (6.4% compared to 3.0%, a difference of 116.1%), doctorate degree (2.8% compared to 1.4%, a difference of 99.6%), and master's degree (19.5% compared to 10.7%, a difference of 81.9%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 98.6%, a difference of 0.31%), kindergarten (98.3% compared to 98.6%, a difference of 0.31%), and 1st grade (98.3% compared to 98.6%, a difference of 0.32%).

When considering disability, the most significant differences between Immigrants from Denmark and Pennsylvania German communities in the United States are seen in disability age under 5 (1.1% compared to 1.9%, a difference of 72.7%), disability age 35 to 64 (10.3% compared to 12.8%, a difference of 24.2%), and disability age 5 to 17 (5.4% compared to 6.6%, a difference of 21.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.9% compared to 16.6%, a difference of 1.8%), disability age over 75 (45.4% compared to 47.2%, a difference of 3.8%), and self-care disability (2.3% compared to 2.5%, a difference of 5.3%).