Immigrants from North America vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 212,270,941 people shows a strong positive correlation between the proportion of Pennsylvania Germans within Immigrant from North America communities in the United States with a correlation coefficient (R) of 0.749. On average, for every 1% (one percent) increase in Immigrants from North America within a typical geography, there is an increase of 2.940% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from North America corresponds to an increase of 2,939.6 Pennsylvania Germans.

When considering income, the most significant differences between Immigrants from North America and Pennsylvania German communities in the United States are seen in per capita income ($49,302 compared to $37,842, a difference of 30.3%), householder income over 65 years ($64,856 compared to $52,888, a difference of 22.6%), and median family income ($112,151 compared to $91,763, a difference of 22.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,307 compared to $50,852, a difference of 4.8%), wage/income gap (28.4% compared to 30.7%, a difference of 8.1%), and median earnings ($50,108 compared to $42,615, a difference of 17.6%).

When considering poverty, the most significant differences between Immigrants from North America and Pennsylvania German communities in the United States are seen in child poverty under the age of 5 (15.9% compared to 19.8%, a difference of 24.2%), child poverty among boys under 16 (14.8% compared to 17.9%, a difference of 20.8%), and single male poverty (12.9% compared to 15.6%, a difference of 20.8%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (9.9% compared to 9.9%, a difference of 0.28%), female poverty among 18-24 year olds (19.5% compared to 19.7%, a difference of 0.86%), and seniors poverty over the age of 75 (11.3% compared to 11.8%, a difference of 4.6%).

When considering unemployment, the most significant differences between Immigrants from North America and Pennsylvania German communities in the United States are seen in unemployment among women with children under 6 years (7.6% compared to 10.8%, a difference of 41.6%), unemployment among women with children ages 6 to 17 years (9.2% compared to 11.0%, a difference of 20.5%), and unemployment among ages 30 to 34 years (5.4% compared to 6.3%, a difference of 17.0%). 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 0.86%), unemployment among ages 20 to 24 years (10.2% compared to 10.0%, a difference of 1.1%), and unemployment among ages 60 to 64 years (4.7% compared to 4.8%, a difference of 1.6%).

When considering labor participation, the most significant differences between Immigrants from North America and Pennsylvania German communities in the United States are seen in in labor force | age 16-19 (38.9% compared to 46.4%, a difference of 19.4%), in labor force | age 20-24 (75.9% compared to 78.0%, a difference of 2.8%), and in labor force | age 30-34 (84.6% compared to 82.6%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (63.7% compared to 63.4%, a difference of 0.51%), in labor force | age 20-64 (79.0% compared to 78.4%, a difference of 0.74%), and in labor force | age 45-54 (82.5% compared to 81.6%, a difference of 1.1%).

When considering family structure, the most significant differences between Immigrants from North America and Pennsylvania German communities in the United States are seen in single father households (2.2% compared to 2.4%, a difference of 13.0%), births to unmarried women (30.6% compared to 34.0%, a difference of 11.3%), and married-couple households (48.4% compared to 50.4%, a difference of 4.1%). Conversely, both communities are more comparable in terms of divorced or separated (12.1% compared to 12.1%, a difference of 0.27%), currently married (48.7% compared to 49.6%, a difference of 1.7%), and average family size (3.12 compared to 3.19, a difference of 2.5%).

When considering vehicle availability, the most significant differences between Immigrants from North America and Pennsylvania German communities in the United States are seen in no vehicles in household (8.7% compared to 11.0%, a difference of 25.8%), 4 or more vehicles in household (6.5% compared to 7.6%, a difference of 16.6%), and 3 or more vehicles in household (20.2% compared to 22.3%, a difference of 10.4%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.5% compared to 58.5%, a difference of 1.7%), 1 or more vehicles in household (91.4% compared to 89.3%, a difference of 2.4%), and 3 or more vehicles in household (20.2% compared to 22.3%, a difference of 10.4%).

When considering education level, the most significant differences between Immigrants from North America and Pennsylvania German communities in the United States are seen in professional degree (5.3% compared to 3.0%, a difference of 79.3%), doctorate degree (2.2% compared to 1.4%, a difference of 63.0%), and master's degree (17.2% compared to 10.7%, a difference of 59.8%). Conversely, both communities are more comparable in terms of nursery school (98.4% compared to 98.6%, a difference of 0.21%), kindergarten (98.4% compared to 98.6%, a difference of 0.22%), and 1st grade (98.4% compared to 98.6%, a difference of 0.22%).

When considering disability, the most significant differences between Immigrants from North America and Pennsylvania German communities in the United States are seen in disability age under 5 (1.4% compared to 1.9%, a difference of 35.1%), disability age 35 to 64 (11.0% compared to 12.8%, a difference of 16.6%), and disability age 5 to 17 (5.7% compared to 6.6%, a difference of 15.8%). Conversely, both communities are more comparable in terms of cognitive disability (16.5% compared to 16.6%, a difference of 0.50%), vision disability (2.2% compared to 2.2%, a difference of 2.4%), and self-care disability (2.4% compared to 2.5%, a difference of 2.5%).