Pennsylvania German vs Immigrants from Middle Africa Community Comparison

The statistical analysis conducted on geographies consisting of 117,351,294 people shows a moderate positive correlation between the proportion of Immigrants from Middle Africa within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.461. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.021% in Immigrants from Middle Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 20.6 Immigrants from Middle Africa.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Middle Africa communities in the United States are seen in wage/income gap (30.7% compared to 22.4%, a difference of 37.2%), householder income over 65 years ($52,888 compared to $58,375, a difference of 10.4%), and median female earnings ($34,802 compared to $37,965, a difference of 9.1%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($91,956 compared to $91,293, a difference of 0.73%), median earnings ($42,615 compared to $43,416, a difference of 1.9%), and median family income ($91,763 compared to $93,593, a difference of 2.0%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Middle Africa communities in the United States are seen in single father poverty (20.0% compared to 15.6%, a difference of 28.0%), single male poverty (15.6% compared to 12.7%, a difference of 22.6%), and family poverty (8.8% compared to 10.1%, a difference of 15.1%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (19.8% compared to 19.7%, a difference of 0.22%), seniors poverty over the age of 75 (11.8% compared to 12.1%, a difference of 2.4%), and female poverty among 25-34 year olds (15.4% compared to 14.8%, a difference of 4.1%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Middle Africa communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 8.1%, a difference of 33.3%), unemployment among seniors over 75 years (10.2% compared to 8.3%, a difference of 22.6%), and unemployment among women with children ages 6 to 17 years (11.0% compared to 9.1%, a difference of 20.8%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.7% compared to 5.8%, a difference of 1.3%), unemployment among ages 35 to 44 years (4.7% compared to 4.8%, a difference of 2.5%), and unemployment among ages 60 to 64 years (4.8% compared to 4.6%, a difference of 3.6%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Middle Africa communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 39.9%, a difference of 16.3%), in labor force | age > 16 (63.4% compared to 67.7%, a difference of 6.9%), and in labor force | age 30-34 (82.6% compared to 85.2%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 85.0%, a difference of 1.7%), in labor force | age 20-24 (78.0% compared to 76.6%, a difference of 1.7%), and in labor force | age 45-54 (81.6% compared to 83.3%, a difference of 2.0%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Middle Africa communities in the United States are seen in single mother households (5.8% compared to 7.7%, a difference of 32.9%), married-couple households (50.4% compared to 41.8%, a difference of 20.4%), and currently married (49.6% compared to 43.0%, a difference of 15.3%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.5%, a difference of 1.7%), average family size (3.19 compared to 3.25, a difference of 1.8%), and family households with children (27.4% compared to 28.0%, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Middle Africa communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.8%, a difference of 31.6%), 3 or more vehicles in household (22.3% compared to 18.2%, a difference of 22.5%), and 2 or more vehicles in household (58.5% compared to 53.4%, a difference of 9.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 89.9%, a difference of 0.67%), no vehicles in household (11.0% compared to 10.2%, a difference of 8.1%), and 2 or more vehicles in household (58.5% compared to 53.4%, a difference of 9.5%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Middle Africa communities in the United States are seen in no schooling completed (1.5% compared to 2.4%, a difference of 62.1%), professional degree (3.0% compared to 4.2%, a difference of 41.5%), and doctorate degree (1.4% compared to 1.9%, a difference of 37.1%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.6%, a difference of 1.0%), 9th grade (93.3% compared to 94.2%, a difference of 1.0%), and kindergarten (98.6% compared to 97.6%, a difference of 1.0%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Middle Africa communities in the United States are seen in disability age under 5 (1.9% compared to 1.2%, a difference of 62.2%), hearing disability (3.7% compared to 2.8%, a difference of 35.3%), and male disability (13.0% compared to 11.1%, a difference of 17.2%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 47.1%, a difference of 0.060%), disability age 65 to 74 (24.0% compared to 24.1%, a difference of 0.63%), and vision disability (2.2% compared to 2.2%, a difference of 1.7%).