Pennsylvania German vs Immigrants from Hungary Community Comparison

The statistical analysis conducted on geographies consisting of 121,826,208 people shows a poor positive correlation between the proportion of Immigrants from Hungary within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.184. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.008% in Immigrants from Hungary. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 7.7 Immigrants from Hungary.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Hungary communities in the United States are seen in per capita income ($37,842 compared to $49,303, a difference of 30.3%), householder income over 65 years ($52,888 compared to $64,277, a difference of 21.5%), and median household income ($75,814 compared to $92,094, a difference of 21.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $52,798, a difference of 3.8%), wage/income gap (30.7% compared to 27.0%, a difference of 13.6%), and median male earnings ($50,878 compared to $59,806, a difference of 17.5%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Hungary communities in the United States are seen in single father poverty (20.0% compared to 16.1%, a difference of 24.6%), single male poverty (15.6% compared to 12.6%, a difference of 23.1%), and child poverty under the age of 5 (19.8% compared to 16.5%, a difference of 20.1%). 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 0.24%), female poverty among 18-24 year olds (19.7% compared to 19.3%, a difference of 1.8%), and female poverty (13.2% compared to 12.7%, a difference of 3.8%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Hungary communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 7.1%, a difference of 51.0%), unemployment among seniors over 75 years (10.2% compared to 7.7%, a difference of 32.0%), and unemployment among women with children ages 6 to 17 years (11.0% compared to 8.9%, a difference of 23.8%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.020%), unemployment among ages 60 to 64 years (4.8% compared to 4.9%, a difference of 1.8%), and unemployment among ages 35 to 44 years (4.7% compared to 4.6%, a difference of 1.9%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Hungary communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 36.2%, a difference of 28.5%), in labor force | age 20-24 (78.0% compared to 74.9%, a difference of 4.1%), and in labor force | age 30-34 (82.6% compared to 85.1%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.6% compared to 82.7%, a difference of 1.3%), in labor force | age 20-64 (78.4% compared to 79.5%, a difference of 1.3%), and in labor force | age 25-29 (83.6% compared to 84.8%, a difference of 1.5%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Hungary communities in the United States are seen in single father households (2.4% compared to 2.1%, a difference of 16.6%), births to unmarried women (34.0% compared to 29.7%, a difference of 14.3%), and married-couple households (50.4% compared to 47.3%, a difference of 6.5%). Conversely, both communities are more comparable in terms of average family size (3.19 compared to 3.17, a difference of 0.83%), divorced or separated (12.1% compared to 11.9%, a difference of 0.94%), and family households with children (27.4% compared to 26.7%, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Hungary communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.8%, a difference of 30.4%), 3 or more vehicles in household (22.3% compared to 18.5%, a difference of 21.1%), and 2 or more vehicles in household (58.5% compared to 54.2%, a difference of 7.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 89.0%, a difference of 0.31%), no vehicles in household (11.0% compared to 11.1%, a difference of 0.85%), and 2 or more vehicles in household (58.5% compared to 54.2%, a difference of 7.9%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Hungary communities in the United States are seen in professional degree (3.0% compared to 5.5%, a difference of 83.6%), master's degree (10.7% compared to 17.5%, a difference of 63.3%), and doctorate degree (1.4% compared to 2.2%, a difference of 62.7%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.1%, a difference of 0.50%), kindergarten (98.6% compared to 98.1%, a difference of 0.51%), and 1st grade (98.6% compared to 98.1%, a difference of 0.51%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Hungary communities in the United States are seen in disability age under 5 (1.9% compared to 1.4%, a difference of 42.3%), disability age 35 to 64 (12.8% compared to 10.4%, a difference of 23.2%), and disability age 5 to 17 (6.6% compared to 5.5%, a difference of 20.5%). Conversely, both communities are more comparable in terms of cognitive disability (16.6% compared to 16.7%, a difference of 0.56%), disability age over 75 (47.2% compared to 46.1%, a difference of 2.3%), and self-care disability (2.5% compared to 2.4%, a difference of 2.5%).