Immigrants from South America vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 215,423,511 people shows a slight negative correlation between the proportion of Pennsylvania Germans within Immigrant from South America communities in the United States with a correlation coefficient (R) of -0.070. On average, for every 1% (one percent) increase in Immigrants from South America within a typical geography, there is a decrease of 0.001% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South America corresponds to a decrease of 0.8 Pennsylvania Germans.

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

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

When considering unemployment, the most significant differences between Immigrants from South America and Pennsylvania German communities in the United States are seen in unemployment among women with children under 6 years (7.6% compared to 10.8%, a difference of 42.4%), unemployment among seniors over 75 years (8.6% compared to 10.2%, a difference of 17.7%), and unemployment among women with children ages 6 to 17 years (9.4% compared to 11.0%, a difference of 17.6%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.5% compared to 5.4%, a difference of 0.84%), unemployment among women with children under 18 years (5.8% compared to 5.7%, 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 Immigrants from South America and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (33.3% compared to 46.4%, a difference of 39.5%), in labor force | age 20-24 (73.3% compared to 78.0%, a difference of 6.3%), and in labor force | age > 16 (66.0% compared to 63.4%, a difference of 4.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 83.6%, a difference of 1.2%), in labor force | age 45-54 (83.2% compared to 81.6%, a difference of 2.0%), and in labor force | age 20-64 (80.0% compared to 78.4%, a difference of 2.0%).

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

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

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

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