Pennsylvania German vs Immigrants from Eastern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 178,143,882 people shows a weak positive correlation between the proportion of Immigrants from Eastern Africa within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.231. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.014% in Immigrants from Eastern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 14.1 Immigrants from Eastern Africa.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Eastern Africa communities in the United States are seen in wage/income gap (30.7% compared to 22.8%, a difference of 34.5%), median female earnings ($34,802 compared to $40,644, a difference of 16.8%), and per capita income ($37,842 compared to $43,838, a difference of 15.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $51,158, a difference of 0.60%), median male earnings ($50,878 compared to $53,713, a difference of 5.6%), and householder income ages 25 - 44 years ($85,836 compared to $91,458, a difference of 6.6%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Eastern Africa communities in the United States are seen in single father poverty (20.0% compared to 14.7%, a difference of 36.1%), single male poverty (15.6% compared to 12.3%, a difference of 26.5%), and female poverty among 25-34 year olds (15.4% compared to 13.6%, a difference of 13.4%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (17.8% compared to 17.7%, a difference of 0.31%), child poverty under the age of 16 (17.4% compared to 17.6%, a difference of 1.0%), and child poverty among boys under 16 (17.9% compared to 17.7%, a difference of 1.1%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Eastern Africa communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 7.2%, a difference of 50.1%), unemployment among ages 30 to 34 years (6.3% compared to 5.0%, a difference of 24.9%), and unemployment among women with children ages 6 to 17 years (11.0% compared to 8.9%, a difference of 24.6%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.7% compared to 4.6%, a difference of 1.9%), unemployment among ages 60 to 64 years (4.8% compared to 4.6%, a difference of 3.0%), and unemployment among ages 16 to 19 years (16.2% compared to 16.8%, a difference of 3.3%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Eastern Africa communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 40.4%, a difference of 15.1%), in labor force | age > 16 (63.4% compared to 68.5%, a difference of 8.1%), and in labor force | age 30-34 (82.6% compared to 85.9%, a difference of 4.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (78.0% compared to 77.5%, a difference of 0.59%), in labor force | age 25-29 (83.6% compared to 86.0%, a difference of 2.8%), and in labor force | age 45-54 (81.6% compared to 83.9%, a difference of 2.8%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Eastern Africa communities in the United States are seen in single mother households (5.8% compared to 6.8%, a difference of 17.7%), married-couple households (50.4% compared to 42.9%, a difference of 17.3%), and currently married (49.6% compared to 44.2%, a difference of 12.2%). Conversely, both communities are more comparable in terms of average family size (3.19 compared to 3.22, a difference of 0.66%), single father households (2.4% compared to 2.4%, a difference of 0.97%), and family households with children (27.4% compared to 27.7%, a difference of 1.1%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Eastern Africa communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.7%, a difference of 33.0%), 3 or more vehicles in household (22.3% compared to 18.0%, a difference of 24.0%), and no vehicles in household (11.0% compared to 10.0%, a difference of 9.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 90.1%, a difference of 0.97%), 2 or more vehicles in household (58.5% compared to 53.7%, a difference of 8.9%), and no vehicles in household (11.0% compared to 10.0%, a difference of 9.6%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Eastern Africa communities in the United States are seen in no schooling completed (1.5% compared to 2.4%, a difference of 63.3%), professional degree (3.0% compared to 4.8%, a difference of 61.8%), and doctorate degree (1.4% compared to 2.1%, a difference of 52.8%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.6%, a difference of 1.0%), kindergarten (98.6% compared to 97.6%, a difference of 1.0%), and 1st grade (98.6% compared to 97.6%, a difference of 1.0%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Eastern Africa communities in the United States are seen in disability age under 5 (1.9% compared to 1.2%, a difference of 63.1%), hearing disability (3.7% compared to 2.8%, a difference of 34.0%), and ambulatory disability (6.8% compared to 5.6%, a difference of 20.5%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 47.2%, a difference of 0.010%), disability age 65 to 74 (24.0% compared to 23.4%, a difference of 2.3%), and self-care disability (2.5% compared to 2.3%, a difference of 8.3%).