Pennsylvania German vs South American Indian Community Comparison

The statistical analysis conducted on geographies consisting of 101,229,452 people shows a significant positive correlation between the proportion of South American Indians within Pennsylvania German communities in the United States with a correlation coefficient (R) of 0.621. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is an increase of 0.267% in South American Indians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to an increase of 267.1 South American Indians.

When considering income, the most significant differences between Pennsylvania German and South American Indian communities in the United States are seen in wage/income gap (30.7% compared to 24.7%, a difference of 24.1%), householder income over 65 years ($52,888 compared to $62,215, a difference of 17.6%), and per capita income ($37,842 compared to $44,206, a difference of 16.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $52,979, a difference of 4.2%), median male earnings ($50,878 compared to $54,508, a difference of 7.1%), and householder income ages 45 - 64 years ($91,956 compared to $101,171, a difference of 10.0%).

When considering poverty, the most significant differences between Pennsylvania German and South American Indian communities in the United States are seen in single male poverty (15.6% compared to 12.1%, a difference of 28.4%), single father poverty (20.0% compared to 15.7%, a difference of 27.4%), and seniors poverty over the age of 65 (9.9% compared to 11.4%, a difference of 15.6%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.7% compared to 20.1%, a difference of 2.3%), male poverty (11.2% compared to 11.5%, a difference of 3.0%), and family poverty (8.8% compared to 9.1%, a difference of 3.8%).

When considering unemployment, the most significant differences between Pennsylvania German and South American Indian communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 7.9%, a difference of 35.7%), unemployment among seniors over 75 years (10.2% compared to 8.2%, a difference of 24.0%), and unemployment among women with children ages 6 to 17 years (11.0% compared to 9.0%, a difference of 22.2%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.41%), unemployment among ages 35 to 44 years (4.7% compared to 4.7%, a difference of 0.88%), and unemployment among ages 60 to 64 years (4.8% compared to 4.9%, a difference of 2.5%).

When considering labor participation, the most significant differences between Pennsylvania German and South American Indian communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 35.8%, a difference of 29.9%), in labor force | age > 16 (63.4% compared to 66.0%, a difference of 4.2%), and in labor force | age 20-24 (78.0% compared to 75.3%, a difference of 3.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 84.5%, a difference of 1.0%), in labor force | age 45-54 (81.6% compared to 82.9%, a difference of 1.5%), and in labor force | age 20-64 (78.4% compared to 79.9%, a difference of 1.9%).

When considering family structure, the most significant differences between Pennsylvania German and South American Indian communities in the United States are seen in single mother households (5.8% compared to 6.4%, a difference of 10.6%), married-couple households (50.4% compared to 46.0%, a difference of 9.4%), and single father households (2.4% compared to 2.3%, a difference of 8.7%). Conversely, both communities are more comparable in terms of average family size (3.19 compared to 3.26, a difference of 2.1%), family households with children (27.4% compared to 28.0%, a difference of 2.2%), and divorced or separated (12.1% compared to 11.8%, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Pennsylvania German and South American Indian communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.3%, a difference of 21.6%), 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 12.1%, a difference of 9.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 88.0%, a difference of 1.4%), 2 or more vehicles in household (58.5% compared to 53.9%, a difference of 8.6%), and no vehicles in household (11.0% compared to 12.1%, a difference of 9.6%).

When considering education level, the most significant differences between Pennsylvania German and South American Indian communities in the United States are seen in professional degree (3.0% compared to 4.8%, a difference of 60.0%), no schooling completed (1.5% compared to 2.2%, a difference of 50.9%), and master's degree (10.7% compared to 15.9%, a difference of 47.9%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.8%, a difference of 0.85%), kindergarten (98.6% compared to 97.8%, a difference of 0.86%), and 1st grade (98.6% compared to 97.7%, a difference of 0.87%).

When considering disability, the most significant differences between Pennsylvania German and South American Indian communities in the United States are seen in disability age under 5 (1.9% compared to 1.3%, a difference of 46.1%), hearing disability (3.7% compared to 2.9%, a difference of 30.5%), and disability age 18 to 34 (7.8% compared to 6.4%, a difference of 22.3%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 47.1%, a difference of 0.050%), self-care disability (2.5% compared to 2.4%, a difference of 2.2%), and vision disability (2.2% compared to 2.2%, a difference of 3.3%).