African vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 210,323,981 people shows a substantial positive correlation between the proportion of Pennsylvania Germans within African communities in the United States with a correlation coefficient (R) of 0.550. On average, for every 1% (one percent) increase in Africans within a typical geography, there is an increase of 0.092% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Africans corresponds to an increase of 91.6 Pennsylvania Germans.

When considering income, the most significant differences between African and Pennsylvania German communities in the United States are seen in wage/income gap (22.9% compared to 30.7%, a difference of 33.8%), householder income ages 25 - 44 years ($78,986 compared to $85,836, a difference of 8.7%), and householder income under 25 years ($46,838 compared to $50,852, a difference of 8.6%). Conversely, both communities are more comparable in terms of per capita income ($37,785 compared to $37,842, a difference of 0.15%), householder income over 65 years ($53,711 compared to $52,888, a difference of 1.6%), and median earnings ($41,955 compared to $42,615, a difference of 1.6%).

When considering poverty, the most significant differences between African and Pennsylvania German communities in the United States are seen in family poverty (11.8% compared to 8.8%, a difference of 33.6%), receiving food stamps (15.1% compared to 11.4%, a difference of 32.4%), and female poverty (16.9% compared to 13.2%, a difference of 27.9%). Conversely, both communities are more comparable in terms of single mother poverty (33.3% compared to 33.2%, a difference of 0.11%), single female poverty (24.8% compared to 23.6%, a difference of 5.0%), and single male poverty (14.7% compared to 15.6%, a difference of 5.7%).

When considering unemployment, the most significant differences between African and Pennsylvania German communities in the United States are seen in unemployment (6.1% compared to 4.6%, a difference of 31.5%), male unemployment (6.3% compared to 4.8%, a difference of 31.4%), and unemployment among youth under 25 years (13.2% compared to 10.6%, a difference of 23.8%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (6.4% compared to 6.3%, a difference of 2.1%), unemployment among ages 25 to 29 years (7.6% compared to 7.4%, a difference of 3.0%), and unemployment among seniors over 65 years (5.2% compared to 5.4%, a difference of 3.3%).

When considering labor participation, the most significant differences between African and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (38.0% compared to 46.4%, a difference of 22.3%), in labor force | age 20-24 (75.0% compared to 78.0%, a difference of 4.0%), and in labor force | age > 16 (64.6% compared to 63.4%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (82.9% compared to 82.9%, a difference of 0.020%), in labor force | age 25-29 (83.2% compared to 83.6%, a difference of 0.45%), and in labor force | age 20-64 (77.9% compared to 78.4%, a difference of 0.66%).

When considering family structure, the most significant differences between African and Pennsylvania German communities in the United States are seen in single mother households (8.2% compared to 5.8%, a difference of 40.7%), married-couple households (40.9% compared to 50.4%, a difference of 23.0%), and currently married (41.8% compared to 49.6%, a difference of 18.5%). Conversely, both communities are more comparable in terms of single father households (2.5% compared to 2.4%, a difference of 0.26%), family households with children (27.2% compared to 27.4%, a difference of 0.78%), and average family size (3.25 compared to 3.19, a difference of 1.8%).

When considering vehicle availability, the most significant differences between African and Pennsylvania German communities in the United States are seen in 4 or more vehicles in household (5.8% compared to 7.6%, a difference of 30.4%), 3 or more vehicles in household (18.2% compared to 22.3%, a difference of 22.9%), and 2 or more vehicles in household (51.8% compared to 58.5%, a difference of 12.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.8% compared to 89.3%, a difference of 1.7%), no vehicles in household (12.3% compared to 11.0%, a difference of 12.0%), and 2 or more vehicles in household (51.8% compared to 58.5%, a difference of 12.9%).

When considering education level, the most significant differences between African and Pennsylvania German communities in the United States are seen in no schooling completed (2.2% compared to 1.5%, a difference of 47.0%), professional degree (3.7% compared to 3.0%, a difference of 23.5%), and master's degree (12.9% compared to 10.7%, a difference of 19.9%). Conversely, both communities are more comparable in terms of high school diploma (87.5% compared to 87.0%, a difference of 0.53%), ged/equivalency (83.4% compared to 82.9%, a difference of 0.66%), and nursery school (97.9% compared to 98.6%, a difference of 0.79%).

When considering disability, the most significant differences between African and Pennsylvania German communities in the United States are seen in disability age under 5 (1.4% compared to 1.9%, a difference of 42.4%), hearing disability (3.0% compared to 3.7%, a difference of 22.7%), and vision disability (2.5% compared to 2.2%, a difference of 14.0%). Conversely, both communities are more comparable in terms of female disability (13.4% compared to 13.4%, a difference of 0.20%), disability (13.0% compared to 13.2%, a difference of 1.3%), and disability age 5 to 17 (6.5% compared to 6.6%, a difference of 1.3%).