Pennsylvania German vs Immigrants from Eritrea Community Comparison

The statistical analysis conducted on geographies consisting of 76,667,457 people shows a very strong positive correlation between the proportion of Immigrants from Eritrea within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.872. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 1.230% in Immigrants from Eritrea. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 1,229.9 Immigrants from Eritrea.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Eritrea communities in the United States are seen in wage/income gap (30.7% compared to 21.4%, a difference of 43.1%), median female earnings ($34,802 compared to $41,485, a difference of 19.2%), and per capita income ($37,842 compared to $44,509, a difference of 17.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $51,574, a difference of 1.4%), median male earnings ($50,878 compared to $53,715, a difference of 5.6%), and householder income ages 45 - 64 years ($91,956 compared to $97,373, a difference of 5.9%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Eritrea communities in the United States are seen in single father poverty (20.0% compared to 14.8%, a difference of 35.3%), single male poverty (15.6% compared to 12.1%, a difference of 28.6%), and seniors poverty over the age of 65 (9.9% compared to 11.8%, a difference of 19.5%). Conversely, both communities are more comparable in terms of receiving food stamps (11.4% compared to 11.7%, a difference of 2.8%), child poverty under the age of 5 (19.8% compared to 19.1%, a difference of 3.6%), and child poverty among boys under 16 (17.9% compared to 18.6%, a difference of 4.1%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Eritrea communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 7.0%, a difference of 54.0%), unemployment among ages 30 to 34 years (6.3% compared to 4.7%, a difference of 32.9%), and unemployment among seniors over 75 years (10.2% compared to 7.7%, a difference of 32.7%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.3% compared to 4.4%, a difference of 2.2%), unemployment among ages 35 to 44 years (4.7% compared to 4.6%, a difference of 2.6%), and unemployment among women with children under 18 years (5.7% compared to 5.5%, a difference of 3.7%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Eritrea communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 38.7%, a difference of 20.1%), in labor force | age > 16 (63.4% compared to 68.9%, a difference of 8.7%), 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 77.0%, a difference of 1.3%), in labor force | age 25-29 (83.6% compared to 85.7%, a difference of 2.5%), and in labor force | age 45-54 (81.6% compared to 83.8%, a difference of 2.7%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Eritrea communities in the United States are seen in married-couple households (50.4% compared to 42.1%, a difference of 19.6%), single mother households (5.8% compared to 6.7%, a difference of 15.7%), and currently married (49.6% compared to 43.6%, a difference of 13.8%). Conversely, both communities are more comparable in terms of divorced or separated (12.1% compared to 12.1%, a difference of 0.62%), family households with children (27.4% compared to 27.8%, a difference of 1.5%), and average family size (3.19 compared to 3.24, a difference of 1.5%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Eritrea communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.8%, a difference of 30.5%), 3 or more vehicles in household (22.3% compared to 17.8%, a difference of 25.2%), and 2 or more vehicles in household (58.5% compared to 52.6%, a difference of 11.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 89.4%, a difference of 0.20%), no vehicles in household (11.0% compared to 10.6%, a difference of 3.8%), and 2 or more vehicles in household (58.5% compared to 52.6%, a difference of 11.2%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Eritrea communities in the United States are seen in no schooling completed (1.5% compared to 2.8%, a difference of 86.9%), professional degree (3.0% compared to 4.8%, a difference of 62.6%), and doctorate degree (1.4% compared to 2.1%, a difference of 53.2%). Conversely, both communities are more comparable in terms of 9th grade (93.3% compared to 93.7%, a difference of 0.50%), 10th grade (91.9% compared to 92.5%, a difference of 0.69%), and high school diploma (87.0% compared to 87.8%, a difference of 0.90%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Eritrea communities in the United States are seen in disability age under 5 (1.9% compared to 1.2%, a difference of 66.6%), hearing disability (3.7% compared to 2.7%, a difference of 38.4%), and male disability (13.0% compared to 10.4%, a difference of 25.2%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 47.7%, a difference of 1.1%), disability age 65 to 74 (24.0% compared to 23.4%, a difference of 2.6%), and vision disability (2.2% compared to 2.0%, a difference of 9.9%).