German Russian vs Immigrants from Pakistan Community Comparison

The statistical analysis conducted on geographies consisting of 78,617,929 people shows a poor positive correlation between the proportion of Immigrants from Pakistan within German Russian communities in the United States with a correlation coefficient (R) of 0.150. On average, for every 1% (one percent) increase in German Russians within a typical geography, there is an increase of 0.018% in Immigrants from Pakistan. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 German Russians corresponds to an increase of 18.0 Immigrants from Pakistan.

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

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

When considering unemployment, the most significant differences between German Russian and Immigrants from Pakistan communities in the United States are seen in unemployment among women with children under 6 years (8.2% compared to 7.2%, a difference of 14.0%), unemployment among ages 35 to 44 years (4.7% compared to 4.3%, a difference of 8.7%), and unemployment among ages 30 to 34 years (5.0% compared to 5.3%, 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 (8.5% compared to 8.6%, 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 German Russian and Immigrants from Pakistan communities in the United States are seen in in labor force | age 16-19 (42.4% compared to 34.8%, a difference of 22.0%), in labor force | age 20-24 (77.5% compared to 73.8%, a difference of 5.1%), and in labor force | age 25-29 (85.8% compared to 84.7%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.2% compared to 84.9%, a difference of 0.38%), in labor force | age 20-64 (80.1% compared to 80.5%, a difference of 0.41%), and in labor force | age 30-34 (85.2% compared to 84.9%, a difference of 0.46%).

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

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

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

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