Immigrants from Western Asia vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 193,130,010 people shows no correlation between the proportion of Pennsylvania Germans within Immigrant from Western Asia communities in the United States with a correlation coefficient (R) of -0.045. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is a decrease of 0.002% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Asia corresponds to a decrease of 2.2 Pennsylvania Germans.

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

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

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

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

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

When considering vehicle availability, the most significant differences between Immigrants from Western Asia and Pennsylvania German communities in the United States are seen in 4 or more vehicles in household (5.9% compared to 7.6%, a difference of 28.5%), 3 or more vehicles in household (18.4% compared to 22.3%, a difference of 21.4%), and 2 or more vehicles in household (54.1% compared to 58.5%, a difference of 8.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 89.3%, 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 (54.1% compared to 58.5%, a difference of 8.2%).

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

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