Pennsylvania German vs Colombian Community Comparison

The statistical analysis conducted on geographies consisting of 195,424,618 people shows a moderate negative correlation between the proportion of Colombians within Pennsylvania German communities in the United States with a correlation coefficient (R) of -0.412. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is a decrease of 0.033% in Colombians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to a decrease of 33.1 Colombians.

When considering income, the most significant differences between Pennsylvania German and Colombian communities in the United States are seen in wage/income gap (30.7% compared to 24.7%, a difference of 24.2%), per capita income ($37,842 compared to $43,661, a difference of 15.4%), and median female earnings ($34,802 compared to $39,439, a difference of 13.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $53,357, a difference of 4.9%), median male earnings ($50,878 compared to $53,832, a difference of 5.8%), and householder income ages 45 - 64 years ($91,956 compared to $99,772, a difference of 8.5%).

When considering poverty, the most significant differences between Pennsylvania German and Colombian communities in the United States are seen in single male poverty (15.6% compared to 12.2%, a difference of 28.0%), seniors poverty over the age of 65 (9.9% compared to 12.5%, a difference of 26.5%), and single father poverty (20.0% compared to 16.1%, a difference of 24.5%). Conversely, both communities are more comparable in terms of poverty (12.2% compared to 12.2%, a difference of 0.31%), female poverty (13.2% compared to 13.4%, a difference of 1.2%), and male poverty (11.2% compared to 11.0%, a difference of 1.3%).

When considering unemployment, the most significant differences between Pennsylvania German and Colombian communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 7.5%, a difference of 43.6%), unemployment among seniors over 75 years (10.2% compared to 8.5%, a difference of 19.3%), and unemployment among women with children ages 6 to 17 years (11.0% compared to 9.3%, a difference of 18.1%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.29%), unemployment among seniors over 65 years (5.4% compared to 5.3%, a difference of 1.1%), and unemployment among ages 35 to 44 years (4.7% compared to 4.6%, a difference of 2.4%).

When considering labor participation, the most significant differences between Pennsylvania German and Colombian communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 33.8%, a difference of 37.3%), in labor force | age 20-24 (78.0% compared to 73.5%, a difference of 6.1%), and in labor force | age > 16 (63.4% compared to 65.9%, a difference of 4.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 84.7%, a difference of 1.3%), in labor force | age 20-64 (78.4% compared to 80.1%, a difference of 2.2%), and in labor force | age 45-54 (81.6% compared to 83.4%, a difference of 2.2%).

When considering family structure, the most significant differences between Pennsylvania German and Colombian communities in the United States are seen in single mother households (5.8% compared to 6.6%, a difference of 13.0%), married-couple households (50.4% compared to 46.8%, a difference of 7.5%), and currently married (49.6% compared to 46.3%, a difference of 7.0%). Conversely, both communities are more comparable in terms of family households (66.1% compared to 66.3%, a difference of 0.20%), average family size (3.19 compared to 3.26, a difference of 2.1%), and divorced or separated (12.1% compared to 12.4%, a difference of 2.7%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Colombian communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.5%, a difference of 37.5%), 3 or more vehicles in household (22.3% compared to 17.8%, a difference of 25.7%), and 2 or more vehicles in household (58.5% compared to 52.9%, a difference of 10.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 88.0%, a difference of 1.4%), no vehicles in household (11.0% compared to 10.0%, a difference of 9.6%), and 2 or more vehicles in household (58.5% compared to 52.9%, a difference of 10.7%).

When considering education level, the most significant differences between Pennsylvania German and Colombian communities in the United States are seen in no schooling completed (1.5% compared to 2.3%, a difference of 57.2%), professional degree (3.0% compared to 4.6%, a difference of 55.0%), and master's degree (10.7% compared to 15.3%, a difference of 42.0%). Conversely, both communities are more comparable in terms of 9th grade (93.3% compared to 94.0%, a difference of 0.83%), nursery school (98.6% compared to 97.7%, a difference of 0.95%), and kindergarten (98.6% compared to 97.7%, a difference of 0.97%).

When considering disability, the most significant differences between Pennsylvania German and Colombian communities in the United States are seen in disability age under 5 (1.9% compared to 1.2%, a difference of 59.6%), hearing disability (3.7% compared to 2.7%, a difference of 36.4%), and disability age 18 to 34 (7.8% compared to 5.9%, a difference of 33.3%). Conversely, both communities are more comparable in terms of cognitive disability (16.6% compared to 16.6%, a difference of 0.20%), disability age over 75 (47.2% compared to 46.7%, a difference of 0.96%), and self-care disability (2.5% compared to 2.4%, a difference of 2.5%).