Crow vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 47,332,349 people shows a significant positive correlation between the proportion of Pennsylvania Germans within Crow communities in the United States with a correlation coefficient (R) of 0.612. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 0.164% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 164.2 Pennsylvania Germans.

When considering income, the most significant differences between Crow and Pennsylvania German communities in the United States are seen in wage/income gap (19.1% compared to 30.7%, a difference of 61.1%), householder income ages 45 - 64 years ($74,257 compared to $91,956, a difference of 23.8%), and householder income ages 25 - 44 years ($71,337 compared to $85,836, a difference of 20.3%). Conversely, both communities are more comparable in terms of median female earnings ($35,266 compared to $34,802, a difference of 1.3%), householder income over 65 years ($49,234 compared to $52,888, a difference of 7.4%), and householder income under 25 years ($47,012 compared to $50,852, a difference of 8.2%).

When considering poverty, the most significant differences between Crow and Pennsylvania German communities in the United States are seen in married-couple family poverty (9.6% compared to 5.1%, a difference of 87.4%), family poverty (16.1% compared to 8.8%, a difference of 82.8%), and male poverty (19.1% compared to 11.2%, a difference of 71.1%). Conversely, both communities are more comparable in terms of single mother poverty (38.6% compared to 33.2%, a difference of 16.2%), receiving food stamps (13.4% compared to 11.4%, a difference of 17.5%), and seniors poverty over the age of 75 (15.9% compared to 11.8%, a difference of 35.2%).

When considering unemployment, the most significant differences between Crow and Pennsylvania German communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.7%, a difference of 235.7%), unemployment among ages 45 to 54 years (13.7% compared to 4.3%, a difference of 221.5%), and unemployment among seniors over 65 years (16.9% compared to 5.4%, a difference of 211.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.8%, a difference of 3.8%), unemployment among women with children ages 6 to 17 years (9.2% compared to 11.0%, a difference of 19.4%), and unemployment among ages 55 to 59 years (5.9% compared to 4.7%, a difference of 24.3%).

When considering labor participation, the most significant differences between Crow and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (38.5% compared to 46.4%, a difference of 20.6%), in labor force | age 30-34 (75.9% compared to 82.6%, a difference of 8.8%), and in labor force | age 35-44 (76.5% compared to 82.9%, a difference of 8.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 78.0%, a difference of 1.4%), in labor force | age 45-54 (78.3% compared to 81.6%, a difference of 4.2%), and in labor force | age > 16 (60.8% compared to 63.4%, a difference of 4.3%).

When considering family structure, the most significant differences between Crow and Pennsylvania German communities in the United States are seen in single father households (3.5% compared to 2.4%, a difference of 43.6%), single mother households (7.4% compared to 5.8%, a difference of 28.2%), and currently married (40.4% compared to 49.6%, a difference of 22.8%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.4%, a difference of 0.040%), family households (65.3% compared to 66.1%, a difference of 1.3%), and divorced or separated (14.1% compared to 12.1%, a difference of 16.8%).

When considering vehicle availability, the most significant differences between Crow and Pennsylvania German communities in the United States are seen in 2 or more vehicles in household (55.7% compared to 58.5%, a difference of 5.0%), 4 or more vehicles in household (7.8% compared to 7.6%, a difference of 2.2%), and 3 or more vehicles in household (22.5% compared to 22.3%, a difference of 0.56%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 89.3%, a difference of 0.030%), no vehicles in household (11.0% compared to 11.0%, a difference of 0.33%), and 3 or more vehicles in household (22.5% compared to 22.3%, a difference of 0.56%).

When considering education level, the most significant differences between Crow and Pennsylvania German communities in the United States are seen in college, 1 year or more (54.5% compared to 48.5%, a difference of 12.3%), no schooling completed (1.6% compared to 1.5%, a difference of 10.5%), and college, under 1 year (60.2% compared to 54.5%, a difference of 10.4%). Conversely, both communities are more comparable in terms of associate's degree (37.6% compared to 37.2%, a difference of 0.90%), master's degree (10.6% compared to 10.7%, a difference of 1.0%), and nursery school (99.7% compared to 98.6%, a difference of 1.0%).

When considering disability, the most significant differences between Crow and Pennsylvania German communities in the United States are seen in disability age under 5 (1.2% compared to 1.9%, a difference of 57.4%), disability age 5 to 17 (5.4% compared to 6.6%, a difference of 22.0%), and disability age 65 to 74 (27.9% compared to 24.0%, a difference of 16.5%). Conversely, both communities are more comparable in terms of male disability (13.1% compared to 13.0%, a difference of 1.1%), disability (12.9% compared to 13.2%, a difference of 2.1%), and self-care disability (2.5% compared to 2.5%, a difference of 2.2%).