Pennsylvania German vs Kenyan Community Comparison

The statistical analysis conducted on geographies consisting of 108,332,275 people shows a substantial positive correlation between the proportion of Kenyans within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.555. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.153% in Kenyans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 153.3 Kenyans.

When considering income, the most significant differences between Pennsylvania German and Kenyan communities in the United States are seen in wage/income gap (30.7% compared to 24.5%, a difference of 25.5%), median female earnings ($34,802 compared to $39,860, a difference of 14.5%), and householder income over 65 years ($52,888 compared to $60,514, a difference of 14.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $50,815, a difference of 0.070%), median male earnings ($50,878 compared to $53,647, a difference of 5.4%), and householder income ages 25 - 44 years ($85,836 compared to $91,684, a difference of 6.8%).

When considering poverty, the most significant differences between Pennsylvania German and Kenyan communities in the United States are seen in single father poverty (20.0% compared to 15.3%, a difference of 30.7%), single male poverty (15.6% compared to 12.4%, a difference of 26.0%), and single mother poverty (33.2% compared to 28.4%, a difference of 17.2%). Conversely, both communities are more comparable in terms of family poverty (8.8% compared to 8.9%, a difference of 1.1%), male poverty (11.2% compared to 11.3%, a difference of 1.2%), and receiving food stamps (11.4% compared to 11.6%, a difference of 1.3%).

When considering unemployment, the most significant differences between Pennsylvania German and Kenyan communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 7.6%, a difference of 42.0%), 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 65 to 74 years (5.8% compared to 4.8%, a difference of 20.3%). 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 0.86%), unemployment among ages 16 to 19 years (16.2% compared to 16.1%, a difference of 0.99%), and unemployment among ages 20 to 24 years (10.0% compared to 9.9%, a difference of 1.5%).

When considering labor participation, the most significant differences between Pennsylvania German and Kenyan communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 40.1%, a difference of 15.7%), in labor force | age > 16 (63.4% compared to 67.6%, a difference of 6.7%), and in labor force | age 30-34 (82.6% compared to 85.4%, a difference of 3.4%). 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 2.1%), and in labor force | age 45-54 (81.6% compared to 83.7%, a difference of 2.6%).

When considering family structure, the most significant differences between Pennsylvania German and Kenyan communities in the United States are seen in single mother households (5.8% compared to 7.0%, a difference of 19.8%), married-couple households (50.4% compared to 44.7%, a difference of 12.7%), and currently married (49.6% compared to 45.2%, a difference of 9.8%). Conversely, both communities are more comparable in terms of average family size (3.19 compared to 3.21, a difference of 0.61%), divorced or separated (12.1% compared to 12.2%, a difference of 1.1%), and single father households (2.4% compared to 2.4%, a difference of 2.9%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Kenyan communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.1%, a difference of 25.1%), 3 or more vehicles in household (22.3% compared to 19.1%, a difference of 17.0%), and no vehicles in household (11.0% compared to 9.7%, a difference of 13.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 90.4%, a difference of 1.2%), 2 or more vehicles in household (58.5% compared to 55.5%, a difference of 5.4%), and no vehicles in household (11.0% compared to 9.7%, a difference of 13.4%).

When considering education level, the most significant differences between Pennsylvania German and Kenyan communities in the United States are seen in professional degree (3.0% compared to 4.4%, a difference of 48.2%), master's degree (10.7% compared to 15.3%, a difference of 42.7%), and doctorate degree (1.4% compared to 1.9%, a difference of 41.2%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 98.0%, a difference of 0.66%), kindergarten (98.6% compared to 98.0%, a difference of 0.67%), and 1st grade (98.6% compared to 97.9%, a difference of 0.67%).

When considering disability, the most significant differences between Pennsylvania German and Kenyan communities in the United States are seen in disability age under 5 (1.9% compared to 1.2%, a difference of 61.5%), hearing disability (3.7% compared to 2.8%, a difference of 31.5%), and male disability (13.0% compared to 11.0%, a difference of 17.8%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 47.2%, a difference of 0.17%), disability age 65 to 74 (24.0% compared to 23.7%, a difference of 0.97%), and vision disability (2.2% compared to 2.1%, a difference of 7.0%).