Immigrants from Pakistan vs German Russian Community Comparison

The statistical analysis conducted on geographies consisting of 78,617,929 people shows a weak positive correlation between the proportion of German Russians within Immigrant from Pakistan communities in the United States with a correlation coefficient (R) of 0.246. On average, for every 1% (one percent) increase in Immigrants from Pakistan within a typical geography, there is an increase of 0.006% in German Russians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Pakistan corresponds to an increase of 6.0 German Russians.

When considering income, the most significant differences between Immigrants from Pakistan and German Russian communities in the United States are seen in median household income ($97,528 compared to $75,856, a difference of 28.6%), householder income ages 45 - 64 years ($114,434 compared to $89,398, a difference of 28.0%), and householder income ages 25 - 44 years ($106,129 compared to $85,220, a difference of 24.5%). Conversely, both communities are more comparable in terms of wage/income gap (27.0% compared to 24.6%, a difference of 9.7%), median female earnings ($43,052 compared to $37,105, a difference of 16.0%), and per capita income ($47,084 compared to $40,266, a difference of 16.9%).

When considering poverty, the most significant differences between Immigrants from Pakistan and German Russian communities in the United States are seen in female poverty among 18-24 year olds (17.0% compared to 25.2%, a difference of 48.2%), single female poverty (18.4% compared to 23.9%, a difference of 29.8%), and female poverty among 25-34 year olds (11.5% compared to 14.9%, a difference of 29.0%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.9% compared to 5.0%, a difference of 1.7%), seniors poverty over the age of 75 (12.0% compared to 12.3%, a difference of 2.7%), and seniors poverty over the age of 65 (10.2% compared to 11.0%, a difference of 7.7%).

When considering unemployment, the most significant differences between Immigrants from Pakistan and German Russian communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 8.2%, a difference of 14.0%), unemployment among ages 35 to 44 years (4.3% compared to 4.7%, a difference of 8.7%), and unemployment among ages 30 to 34 years (5.3% compared to 5.0%, a difference of 6.1%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.2% compared to 5.2%, a difference of 0.21%), unemployment among women with children ages 6 to 17 years (8.6% compared to 8.5%, a difference of 0.21%), and unemployment among ages 55 to 59 years (4.5% compared to 4.5%, a difference of 0.24%).

When considering labor participation, the most significant differences between Immigrants from Pakistan and German Russian communities in the United States are seen in in labor force | age 16-19 (34.8% compared to 42.4%, a difference of 22.0%), in labor force | age 20-24 (73.8% compared to 77.5%, a difference of 5.1%), and in labor force | age 25-29 (84.7% compared to 85.8%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.9% compared to 85.2%, a difference of 0.38%), in labor force | age 20-64 (80.5% compared to 80.1%, a difference of 0.41%), and in labor force | age 30-34 (84.9% compared to 85.2%, a difference of 0.46%).

When considering family structure, the most significant differences between Immigrants from Pakistan and German Russian communities in the United States are seen in births to unmarried women (27.2% compared to 33.1%, a difference of 21.7%), married-couple households (50.1% compared to 44.0%, a difference of 13.9%), and family households with children (30.2% compared to 26.8%, a difference of 12.8%). Conversely, both communities are more comparable in terms of average family size (3.30 compared to 3.15, a difference of 4.9%), currently married (49.1% compared to 45.5%, a difference of 7.8%), and family households (67.7% compared to 60.9%, a difference of 11.1%).

When considering vehicle availability, the most significant differences between Immigrants from Pakistan and German Russian communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 7.0%, a difference of 8.8%), no vehicles in household (11.4% compared to 10.5%, a difference of 8.3%), and 3 or more vehicles in household (19.8% compared to 20.5%, a difference of 3.6%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (56.1% compared to 55.6%, a difference of 0.82%), 1 or more vehicles in household (88.6% compared to 89.6%, a difference of 1.1%), and 3 or more vehicles in household (19.8% compared to 20.5%, a difference of 3.6%).

When considering education level, the most significant differences between Immigrants from Pakistan and German Russian communities in the United States are seen in master's degree (17.8% compared to 13.5%, a difference of 32.0%), no schooling completed (2.3% compared to 1.8%, a difference of 26.7%), and professional degree (5.0% compared to 4.0%, a difference of 25.4%). Conversely, both communities are more comparable in terms of ged/equivalency (86.4% compared to 86.2%, a difference of 0.30%), 12th grade, no diploma (91.4% compared to 91.8%, a difference of 0.40%), and nursery school (97.7% compared to 98.2%, a difference of 0.55%).

When considering disability, the most significant differences between Immigrants from Pakistan and German Russian communities in the United States are seen in disability age under 5 (1.1% compared to 1.6%, a difference of 44.8%), disability age 35 to 64 (9.5% compared to 12.5%, a difference of 31.2%), and disability age 18 to 34 (5.8% compared to 7.4%, a difference of 28.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 47.3%, a difference of 1.7%), self-care disability (2.3% compared to 2.5%, a difference of 7.4%), and cognitive disability (16.4% compared to 18.2%, a difference of 11.3%).