Immigrants from Pakistan vs Pennsylvania German Community Comparison

The statistical analysis conducted on geographies consisting of 149,614,953 people shows a moderate positive correlation between the proportion of Pennsylvania Germans within Immigrant from Pakistan communities in the United States with a correlation coefficient (R) of 0.420. On average, for every 1% (one percent) increase in Immigrants from Pakistan within a typical geography, there is an increase of 0.091% in Pennsylvania Germans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Pakistan corresponds to an increase of 91.3 Pennsylvania Germans.

When considering income, the most significant differences between Immigrants from Pakistan and Pennsylvania German communities in the United States are seen in median household income ($97,528 compared to $75,814, a difference of 28.6%), householder income over 65 years ($66,617 compared to $52,888, a difference of 26.0%), and median family income ($114,406 compared to $91,763, a difference of 24.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($56,789 compared to $50,852, a difference of 11.7%), wage/income gap (27.0% compared to 30.7%, a difference of 13.6%), and median male earnings ($60,987 compared to $50,878, a difference of 19.9%).

When considering poverty, the most significant differences between Immigrants from Pakistan and Pennsylvania German communities in the United States are seen in single male poverty (11.2% compared to 15.6%, a difference of 38.8%), female poverty among 25-34 year olds (11.5% compared to 15.4%, a difference of 33.8%), and single father poverty (15.0% compared to 20.0%, a difference of 33.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 11.8%, a difference of 1.4%), seniors poverty over the age of 65 (10.2% compared to 9.9%, a difference of 3.0%), and married-couple family poverty (4.9% compared to 5.1%, a difference of 4.7%).

When considering unemployment, the most significant differences between Immigrants from Pakistan and Pennsylvania German communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 10.8%, a difference of 49.6%), unemployment among women with children ages 6 to 17 years (8.6% compared to 11.0%, a difference of 28.9%), and unemployment among ages 30 to 34 years (5.3% compared to 6.3%, a difference of 18.9%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 0.23%), unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.33%), and unemployment among seniors over 65 years (5.2% compared to 5.4%, a difference of 3.8%).

When considering labor participation, the most significant differences between Immigrants from Pakistan 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 (73.8% compared to 78.0%, a difference of 5.7%), and in labor force | age > 16 (66.7% compared to 63.4%, a difference of 5.3%). 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 35-44 (84.9% compared to 82.9%, a difference of 2.4%), and in labor force | age 20-64 (80.5% compared to 78.4%, a difference of 2.6%).

When considering family structure, the most significant differences between Immigrants from Pakistan and Pennsylvania German communities in the United States are seen in births to unmarried women (27.2% compared to 34.0%, a difference of 25.1%), single father households (2.1% compared to 2.4%, a difference of 15.7%), and divorced or separated (10.8% compared to 12.1%, a difference of 11.9%). Conversely, both communities are more comparable in terms of married-couple households (50.1% compared to 50.4%, a difference of 0.44%), currently married (49.1% compared to 49.6%, a difference of 1.1%), and family households (67.7% compared to 66.1%, a difference of 2.3%).

When considering vehicle availability, the most significant differences between Immigrants from Pakistan and Pennsylvania German communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 7.6%, a difference of 18.8%), 3 or more vehicles in household (19.8% compared to 22.3%, a difference of 13.0%), and 2 or more vehicles in household (56.1% compared to 58.5%, a difference of 4.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.6% compared to 89.3%, a difference of 0.73%), no vehicles in household (11.4% compared to 11.0%, a difference of 3.7%), and 2 or more vehicles in household (56.1% compared to 58.5%, a difference of 4.4%).

When considering education level, the most significant differences between Immigrants from Pakistan and Pennsylvania German communities in the United States are seen in professional degree (5.0% compared to 3.0%, a difference of 67.5%), master's degree (17.8% compared to 10.7%, a difference of 65.5%), and no schooling completed (2.3% compared to 1.5%, a difference of 56.6%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.6%, a difference of 0.95%), kindergarten (97.7% compared to 98.6%, a difference of 0.96%), and 1st grade (97.6% compared to 98.6%, a difference of 0.97%).

When considering disability, the most significant differences between Immigrants from Pakistan and Pennsylvania German communities in the United States are seen in disability age under 5 (1.1% compared to 1.9%, a difference of 73.4%), hearing disability (2.6% compared to 3.7%, a difference of 43.4%), and disability age 18 to 34 (5.8% compared to 7.8%, a difference of 35.7%). Conversely, both communities are more comparable in terms of cognitive disability (16.4% compared to 16.6%, a difference of 1.2%), disability age over 75 (46.5% compared to 47.2%, a difference of 1.5%), and self-care disability (2.3% compared to 2.5%, a difference of 7.9%).