Pennsylvania German vs Immigrants from Western Asia Community Comparison

The statistical analysis conducted on geographies consisting of 193,162,613 people shows no correlation between the proportion of Immigrants from Western Asia within Pennsylvania German communities in the United States with a correlation coefficient (R) of -0.045. On average, for every 1% (one percent) increase in Pennsylvania Germans within a typical geography, there is a decrease of 0.007% in Immigrants from Western Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pennsylvania Germans corresponds to a decrease of 6.6 Immigrants from Western Asia.

When considering income, the most significant differences between Pennsylvania German and Immigrants from Western Asia communities in the United States are seen in per capita income ($37,842 compared to $46,876, a difference of 23.9%), median female earnings ($34,802 compared to $41,375, a difference of 18.9%), and median household income ($75,814 compared to $90,005, a difference of 18.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,852 compared to $52,190, a difference of 2.6%), median male earnings ($50,878 compared to $58,131, a difference of 14.3%), and householder income ages 45 - 64 years ($91,956 compared to $106,217, a difference of 15.5%).

When considering poverty, the most significant differences between Pennsylvania German and Immigrants from Western Asia communities in the United States are seen in single father poverty (20.0% compared to 16.0%, a difference of 24.8%), single male poverty (15.6% compared to 12.5%, a difference of 24.2%), and female poverty among 25-34 year olds (15.4% compared to 12.8%, a difference of 20.3%). Conversely, both communities are more comparable in terms of receiving food stamps (11.4% compared to 11.6%, a difference of 1.9%), female poverty among 18-24 year olds (19.7% compared to 20.3%, a difference of 3.3%), and female poverty (13.2% compared to 13.9%, a difference of 5.1%).

When considering unemployment, the most significant differences between Pennsylvania German and Immigrants from Western Asia communities in the United States are seen in unemployment among women with children under 6 years (10.8% compared to 7.5%, a difference of 42.9%), unemployment among women with children ages 6 to 17 years (11.0% compared to 8.7%, a difference of 26.7%), and unemployment (4.6% compared to 5.5%, a difference of 20.4%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.7% compared to 5.6%, a difference of 1.3%), unemployment among ages 35 to 44 years (4.7% compared to 4.8%, a difference of 3.1%), and unemployment among seniors over 65 years (5.4% compared to 5.2%, a difference of 4.8%).

When considering labor participation, the most significant differences between Pennsylvania German and Immigrants from Western Asia communities in the United States are seen in in labor force | age 16-19 (46.4% compared to 34.8%, a difference of 33.5%), in labor force | age 20-24 (78.0% compared to 73.5%, a difference of 6.0%), and in labor force | age > 16 (63.4% compared to 65.3%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.6% compared to 84.1%, a difference of 0.58%), in labor force | age 45-54 (81.6% compared to 82.4%, a difference of 0.99%), and in labor force | age 20-64 (78.4% compared to 79.2%, a difference of 1.0%).

When considering family structure, the most significant differences between Pennsylvania German and Immigrants from Western Asia communities in the United States are seen in births to unmarried women (34.0% compared to 27.2%, a difference of 24.9%), single father households (2.4% compared to 2.1%, a difference of 18.8%), and divorced or separated (12.1% compared to 11.2%, a difference of 7.8%). Conversely, both communities are more comparable in terms of single mother households (5.8% compared to 5.7%, a difference of 1.5%), family households with children (27.4% compared to 27.9%, a difference of 1.8%), and average family size (3.19 compared to 3.26, a difference of 1.9%).

When considering vehicle availability, the most significant differences between Pennsylvania German and Immigrants from Western Asia communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.9%, a difference of 28.5%), 3 or more vehicles in household (22.3% compared to 18.4%, a difference of 21.4%), and 2 or more vehicles in household (58.5% compared to 54.1%, a difference of 8.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 89.0%, a difference of 0.30%), no vehicles in household (11.0% compared to 11.0%, a difference of 0.41%), and 2 or more vehicles in household (58.5% compared to 54.1%, a difference of 8.2%).

When considering education level, the most significant differences between Pennsylvania German and Immigrants from Western Asia communities in the United States are seen in professional degree (3.0% compared to 5.4%, a difference of 81.9%), doctorate degree (1.4% compared to 2.2%, a difference of 62.8%), and master's degree (10.7% compared to 17.5%, a difference of 62.5%). Conversely, both communities are more comparable in terms of nursery school (98.6% compared to 97.7%, a difference of 0.96%), kindergarten (98.6% compared to 97.7%, a difference of 0.97%), and 1st grade (98.6% compared to 97.6%, a difference of 0.98%).

When considering disability, the most significant differences between Pennsylvania German and Immigrants from Western Asia communities in the United States are seen in disability age under 5 (1.9% compared to 1.1%, a difference of 76.4%), hearing disability (3.7% compared to 2.9%, a difference of 30.5%), and disability age 5 to 17 (6.6% compared to 5.1%, a difference of 29.9%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 48.0%, a difference of 1.8%), disability age 65 to 74 (24.0% compared to 23.0%, a difference of 4.3%), and cognitive disability (16.6% compared to 17.4%, a difference of 4.9%).