Pennsylvania German vs Immigrants from South America Community Comparison

The statistical analysis conducted on geographies consisting of 215,429,392 people shows a weak positive correlation between the proportion of Immigrants from South America within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.218. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.018% in Immigrants from South America. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 17.7 Immigrants from South America.

When considering income, the most significant differences between Pennsylvania German and Immigrants from South America communities in the United States are seen in wage/income gap (30.7% compared to 24.6%, a difference of 24.7%), per capita income ($37,842 compared to $44,068, a difference of 16.5%), and median female earnings ($34,802 compared to $39,643, a difference of 13.9%). Conversely, both communities are more comparable in terms of median male earnings ($50,878 compared to $53,962, a difference of 6.1%), householder income under 25 years ($50,852 compared to $54,268, a difference of 6.7%), and householder income ages 45 - 64 years ($91,956 compared to $99,126, a difference of 7.8%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from South America communities in the United States are seen in single male poverty (15.6% compared to 12.1%, a difference of 28.9%), seniors poverty over the age of 65 (9.9% compared to 12.7%, a difference of 28.8%), and single father poverty (20.0% compared to 15.9%, a difference of 25.7%). Conversely, both communities are more comparable in terms of male poverty (11.2% compared to 11.3%, a difference of 1.4%), poverty (12.2% compared to 12.5%, a difference of 2.9%), and female poverty (13.2% compared to 13.7%, a difference of 3.8%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from South America communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 7.6%, a difference of 42.4%), unemployment among seniors over 75 years (10.2% compared to 8.6%, a difference of 17.7%), and unemployment among women with children ages 6 to 17 years (11.0% compared to 9.4%, a difference of 17.6%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.4% compared to 5.5%, a difference of 0.84%), unemployment among women with children under 18 years (5.7% compared to 5.8%, a difference of 0.99%), and unemployment among ages 35 to 44 years (4.7% compared to 4.7%, a difference of 1.4%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from South America communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 33.3%, a difference of 39.5%), in labor force | age 20-24 (78.0% compared to 73.3%, a difference of 6.3%), and in labor force | age > 16 (63.4% compared to 66.0%, a difference of 4.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 84.6%, a difference of 1.2%), in labor force | age 45-54 (81.6% compared to 83.2%, a difference of 2.0%), and in labor force | age 20-64 (78.4% compared to 80.0%, a difference of 2.0%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from South America communities in the United States are seen in single mother households (5.8% compared to 6.7%, a difference of 14.6%), married-couple households (50.4% compared to 45.9%, a difference of 9.7%), and currently married (49.6% compared to 45.7%, a difference of 8.4%). Conversely, both communities are more comparable in terms of family households (66.1% compared to 65.6%, a difference of 0.75%), divorced or separated (12.1% compared to 12.2%, a difference of 1.4%), and average family size (3.19 compared to 3.27, a difference of 2.4%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from South America communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.2%, a difference of 46.5%), 3 or more vehicles in household (22.3% compared to 16.7%, a difference of 33.8%), and 2 or more vehicles in household (58.5% compared to 50.2%, a difference of 16.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 88.8%, a difference of 0.54%), no vehicles in household (11.0% compared to 11.3%, a difference of 2.4%), and 2 or more vehicles in household (58.5% compared to 50.2%, a difference of 16.6%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from South America communities in the United States are seen in no schooling completed (1.5% compared to 2.5%, a difference of 65.3%), professional degree (3.0% compared to 4.6%, a difference of 55.9%), and master's degree (10.7% compared to 15.5%, a difference of 44.1%). Conversely, both communities are more comparable in terms of 9th grade (93.3% compared to 93.8%, a difference of 0.53%), high school diploma (87.0% compared to 87.6%, a difference of 0.74%), and 10th grade (91.9% compared to 92.6%, a difference of 0.76%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from South America communities in the United States are seen in disability age under 5 (1.9% compared to 1.2%, a difference of 59.8%), hearing disability (3.7% compared to 2.7%, a difference of 40.8%), and disability age 18 to 34 (7.8% compared to 5.8%, a difference of 34.4%). Conversely, both communities are more comparable in terms of cognitive disability (16.6% compared to 16.7%, a difference of 0.98%), disability age over 75 (47.2% compared to 46.7%, a difference of 0.99%), and self-care disability (2.5% compared to 2.4%, a difference of 2.4%).