Pennsylvania German vs Immigrants from Sudan Community Comparison

The statistical analysis conducted on geographies consisting of 84,438,267 people shows a poor negative correlation between the proportion of Immigrants from Sudan within Pennsylvania German communities in the United States with a correlation coefficient (R) of -0.124. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is a decrease of 0.003% in Immigrants from Sudan. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to a decrease of 3.2 Immigrants from Sudan.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Sudan communities in the United States are seen in wage/income gap (30.7% compared to 23.6%, a difference of 29.9%), householder income over 65 years ($52,888 compared to $59,248, a difference of 12.0%), and per capita income ($37,842 compared to $41,986, a difference of 11.0%). Conversely, both communities are more comparable in terms of householder income ages 25 - 44 years ($85,836 compared to $86,109, a difference of 0.32%), median male earnings ($50,878 compared to $51,489, a difference of 1.2%), and householder income ages 45 - 64 years ($91,956 compared to $93,781, a difference of 2.0%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Sudan communities in the United States are seen in single father poverty (20.0% compared to 16.2%, a difference of 23.4%), single male poverty (15.6% compared to 12.7%, a difference of 22.1%), and female poverty among 18-24 year olds (19.7% compared to 23.5%, a difference of 19.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.8% compared to 12.1%, a difference of 2.4%), child poverty under the age of 5 (19.8% compared to 19.2%, a difference of 3.1%), and child poverty among girls under 16 (17.8% compared to 18.6%, a difference of 4.4%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Sudan communities in the United States are seen in unemployment among women with children ages 6 to 17 years (11.0% compared to 8.1%, a difference of 36.1%), unemployment among women with children under 6 years (10.8% compared to 8.0%, a difference of 34.7%), and unemployment among ages 30 to 34 years (6.3% compared to 4.9%, a difference of 29.3%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 0.13%), unemployment among youth under 25 years (10.6% compared to 10.5%, a difference of 0.71%), and unemployment among ages 16 to 19 years (16.2% compared to 16.0%, a difference of 1.3%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Sudan communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 41.0%, a difference of 13.3%), in labor force | age > 16 (63.4% compared to 67.7%, a difference of 6.8%), and in labor force | age 30-34 (82.6% compared to 84.8%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.6% compared to 82.8%, a difference of 1.5%), in labor force | age 20-24 (78.0% compared to 76.8%, a difference of 1.5%), and in labor force | age 25-29 (83.6% compared to 85.1%, a difference of 1.8%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Sudan communities in the United States are seen in married-couple households (50.4% compared to 41.9%, a difference of 20.1%), single mother households (5.8% compared to 6.9%, a difference of 18.5%), and currently married (49.6% compared to 43.5%, a difference of 13.9%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.3%, a difference of 0.43%), average family size (3.19 compared to 3.22, a difference of 0.64%), and divorced or separated (12.1% compared to 12.3%, a difference of 2.1%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Sudan communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.5%, a difference of 38.1%), 3 or more vehicles in household (22.3% compared to 17.6%, a difference of 27.3%), and 2 or more vehicles in household (58.5% compared to 52.8%, a difference of 10.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 89.7%, a difference of 0.43%), no vehicles in household (11.0% compared to 10.4%, a difference of 5.8%), and 2 or more vehicles in household (58.5% compared to 52.8%, a difference of 10.8%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Sudan communities in the United States are seen in professional degree (3.0% compared to 4.9%, a difference of 64.5%), doctorate degree (1.4% compared to 2.2%, a difference of 56.3%), and no schooling completed (1.5% compared to 2.3%, a difference of 54.9%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.7%, a difference of 0.90%), kindergarten (98.6% compared to 97.7%, a difference of 0.91%), and 1st grade (98.6% compared to 97.7%, a difference of 0.92%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Sudan communities in the United States are seen in disability age under 5 (1.9% compared to 1.3%, a difference of 52.2%), hearing disability (3.7% compared to 2.9%, a difference of 30.8%), and male disability (13.0% compared to 11.0%, a difference of 18.1%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (24.0% compared to 23.8%, a difference of 0.71%), disability age over 75 (47.2% compared to 47.5%, a difference of 0.80%), and vision disability (2.2% compared to 2.1%, a difference of 4.9%).