Pennsylvania German vs Immigrants from Kenya Community Comparison

The statistical analysis conducted on geographies consisting of 127,542,603 people shows a weak positive correlation between the proportion of Immigrants from Kenya within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.261. 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 Kenya. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 21.3 Immigrants from Kenya.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Kenya communities in the United States are seen in wage/income gap (30.7% compared to 24.4%, a difference of 25.9%), median female earnings ($34,802 compared to $39,535, a difference of 13.6%), and householder income over 65 years ($52,888 compared to $59,710, a difference of 12.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $49,633, a difference of 2.5%), median male earnings ($50,878 compared to $53,427, a difference of 5.0%), and householder income ages 25 - 44 years ($85,836 compared to $90,767, a difference of 5.7%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Kenya communities in the United States are seen in single father poverty (20.0% compared to 15.0%, a difference of 33.6%), single male poverty (15.6% compared to 12.5%, a difference of 24.8%), and single mother poverty (33.2% compared to 28.9%, a difference of 14.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.8% compared to 11.9%, a difference of 1.3%), child poverty under the age of 16 (17.4% compared to 16.9%, a difference of 3.1%), and receiving food stamps (11.4% compared to 11.8%, a difference of 3.3%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Kenya communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 7.3%, a difference of 48.3%), unemployment among women with children ages 6 to 17 years (11.0% compared to 8.8%, a difference of 25.6%), and unemployment among ages 25 to 29 years (7.4% compared to 6.1%, a difference of 20.7%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (16.2% compared to 16.2%, a difference of 0.030%), unemployment among ages 45 to 54 years (4.3% compared to 4.4%, a difference of 2.6%), and unemployment among ages 20 to 24 years (10.0% compared to 9.7%, a difference of 3.1%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Kenya communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 40.5%, a difference of 14.7%), in labor force | age > 16 (63.4% compared to 67.6%, a difference of 6.6%), and in labor force | age 30-34 (82.6% compared to 85.5%, a difference of 3.5%). 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 85.4%, a difference of 2.2%), and in labor force | age 45-54 (81.6% compared to 83.5%, a difference of 2.2%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Kenya communities in the United States are seen in single mother households (5.8% compared to 7.0%, a difference of 20.0%), married-couple households (50.4% compared to 44.1%, a difference of 14.3%), and currently married (49.6% compared to 44.9%, a difference of 10.5%). Conversely, both communities are more comparable in terms of average family size (3.19 compared to 3.21, a difference of 0.39%), divorced or separated (12.1% compared to 12.2%, a difference of 1.4%), and single father households (2.4% compared to 2.4%, a difference of 2.1%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Kenya communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.0%, a difference of 27.8%), 3 or more vehicles in household (22.3% compared to 18.8%, a difference of 19.0%), and no vehicles in household (11.0% compared to 9.6%, a difference of 14.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 90.4%, a difference of 1.3%), 2 or more vehicles in household (58.5% compared to 55.1%, a difference of 6.1%), and no vehicles in household (11.0% compared to 9.6%, a difference of 14.1%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Kenya communities in the United States are seen in professional degree (3.0% compared to 4.4%, a difference of 47.4%), no schooling completed (1.5% compared to 2.1%, a difference of 43.7%), and master's degree (10.7% compared to 15.3%, a difference of 42.0%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.9%, a difference of 0.75%), kindergarten (98.6% compared to 97.9%, a difference of 0.75%), and 1st grade (98.6% compared to 97.8%, a difference of 0.76%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Kenya communities in the United States are seen in disability age under 5 (1.9% compared to 1.2%, a difference of 57.1%), hearing disability (3.7% compared to 2.9%, a difference of 30.3%), and male disability (13.0% compared to 11.1%, a difference of 16.6%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (24.0% compared to 23.8%, a difference of 0.66%), disability age over 75 (47.2% compared to 47.6%, a difference of 0.83%), and self-care disability (2.5% compared to 2.3%, a difference of 5.6%).