Indian (Asian) vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 219,264,814 people shows a weak negative correlation between the proportion of Pennsylvania Germans within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.243. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.001% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 1.3 Pennsylvania Germans.

When considering income, the most significant differences between Indian (Asian) and Pennsylvania German communities in the United States are seen in per capita income ($53,874 compared to $37,842, a difference of 42.4%), householder income ages 25 - 44 years ($119,496 compared to $85,836, a difference of 39.2%), and median household income ($105,262 compared to $75,814, a difference of 38.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($58,239 compared to $50,852, a difference of 14.5%), wage/income gap (26.4% compared to 30.7%, a difference of 16.1%), and median male earnings ($66,078 compared to $50,878, a difference of 29.9%).

When considering poverty, the most significant differences between Indian (Asian) and Pennsylvania German communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 19.8%, a difference of 47.0%), single male poverty (11.3% compared to 15.6%, a difference of 38.2%), and female poverty among 25-34 year olds (11.2% compared to 15.4%, a difference of 38.0%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 19.7%, a difference of 0.31%), married-couple family poverty (4.8% compared to 5.1%, a difference of 5.8%), and male poverty (10.4% compared to 11.2%, a difference of 7.7%).

When considering unemployment, the most significant differences between Indian (Asian) and Pennsylvania German communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 10.8%, a difference of 71.0%), unemployment among women with children ages 6 to 17 years (7.7% compared to 11.0%, a difference of 42.8%), and unemployment among seniors over 75 years (8.0% compared to 10.2%, a difference of 27.7%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.3% compared to 10.0%, a difference of 2.1%), unemployment among ages 55 to 59 years (4.9% compared to 4.7%, a difference of 4.6%), and unemployment among ages 45 to 54 years (4.5% compared to 4.3%, a difference of 4.8%).

When considering labor participation, the most significant differences between Indian (Asian) and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 46.4%, a difference of 45.8%), in labor force | age 20-24 (71.9% compared to 78.0%, a difference of 8.5%), and in labor force | age > 16 (65.5% compared to 63.4%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 83.6%, a difference of 1.3%), in labor force | age 20-64 (79.9% compared to 78.4%, a difference of 1.9%), and in labor force | age 45-54 (83.3% compared to 81.6%, a difference of 2.1%).

When considering family structure, the most significant differences between Indian (Asian) and Pennsylvania German communities in the United States are seen in births to unmarried women (25.3% compared to 34.0%, a difference of 34.6%), single father households (1.9% compared to 2.4%, a difference of 28.4%), and divorced or separated (10.2% compared to 12.1%, a difference of 18.3%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.4%, a difference of 0.79%), average family size (3.24 compared to 3.19, a difference of 1.5%), and family households (65.1% compared to 66.1%, a difference of 1.5%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Pennsylvania German communities in the United States are seen in no vehicles in household (14.1% compared to 11.0%, a difference of 27.8%), 4 or more vehicles in household (6.4% compared to 7.6%, a difference of 18.4%), and 3 or more vehicles in household (19.1% compared to 22.3%, a difference of 16.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 89.3%, a difference of 3.7%), 2 or more vehicles in household (53.1% compared to 58.5%, a difference of 10.2%), and 3 or more vehicles in household (19.1% compared to 22.3%, a difference of 16.9%).

When considering education level, the most significant differences between Indian (Asian) and Pennsylvania German communities in the United States are seen in professional degree (6.5% compared to 3.0%, a difference of 119.4%), doctorate degree (2.9% compared to 1.4%, a difference of 110.8%), and master's degree (20.5% compared to 10.7%, a difference of 90.4%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.6%, a difference of 1.0%), kindergarten (97.6% compared to 98.6%, a difference of 1.0%), and 1st grade (97.5% compared to 98.6%, a difference of 1.1%).

When considering disability, the most significant differences between Indian (Asian) and Pennsylvania German communities in the United States are seen in disability age under 5 (1.0% compared to 1.9%, a difference of 94.6%), disability age 35 to 64 (8.9% compared to 12.8%, a difference of 45.1%), and disability age 5 to 17 (4.6% compared to 6.6%, a difference of 44.1%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 47.2%, a difference of 1.4%), cognitive disability (16.8% compared to 16.6%, a difference of 1.6%), and self-care disability (2.3% compared to 2.5%, a difference of 5.3%).