German Russian vs Immigrants from Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 94,965,117 people shows a substantial negative correlation between the proportion of Immigrants from Eastern Asia within German Russian communities in the United States with a correlation coefficient (R) of -0.574. On average, for every 1% (one percent) increase in German Russians within a typical geography, there is a decrease of 0.243% in Immigrants from Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 German Russians corresponds to a decrease of 242.9 Immigrants from Eastern Asia.

When considering income, the most significant differences between German Russian and Immigrants from Eastern Asia communities in the United States are seen in householder income ages 25 - 44 years ($85,220 compared to $118,056, a difference of 38.5%), median household income ($75,856 compared to $104,796, a difference of 38.2%), and householder income ages 45 - 64 years ($89,398 compared to $122,222, a difference of 36.7%). Conversely, both communities are more comparable in terms of wage/income gap (24.6% compared to 27.1%, a difference of 9.9%), householder income under 25 years ($45,673 compared to $57,123, a difference of 25.1%), and median female earnings ($37,105 compared to $46,502, a difference of 25.3%).

When considering poverty, the most significant differences between German Russian and Immigrants from Eastern Asia communities in the United States are seen in child poverty under the age of 5 (18.8% compared to 13.5%, a difference of 39.0%), child poverty among girls under 16 (17.8% compared to 13.4%, a difference of 33.2%), and female poverty among 25-34 year olds (14.9% compared to 11.2%, a difference of 32.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.0% compared to 11.1%, a difference of 0.85%), married-couple family poverty (5.0% compared to 4.8%, a difference of 3.2%), and seniors poverty over the age of 75 (12.3% compared to 12.8%, a difference of 4.1%).

When considering unemployment, the most significant differences between German Russian and Immigrants from Eastern Asia communities in the United States are seen in unemployment among women with children under 6 years (8.2% compared to 6.3%, a difference of 30.2%), unemployment among women with children ages 6 to 17 years (8.5% compared to 7.7%, a difference of 10.5%), and unemployment among women with children under 18 years (5.4% compared to 4.9%, a difference of 8.5%). Conversely, both communities are more comparable in terms of male unemployment (5.1% compared to 5.1%, a difference of 0.40%), unemployment among ages 25 to 29 years (6.2% compared to 6.2%, a difference of 0.67%), and unemployment among ages 16 to 19 years (17.2% compared to 17.4%, a difference of 0.76%).

When considering labor participation, the most significant differences between German Russian and Immigrants from Eastern Asia communities in the United States are seen in in labor force | age 16-19 (42.4% compared to 32.0%, a difference of 32.5%), in labor force | age 20-24 (77.5% compared to 71.8%, a difference of 8.0%), and in labor force | age 25-29 (85.8% compared to 84.8%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.2% compared to 85.4%, a difference of 0.13%), in labor force | age 20-64 (80.1% compared to 79.9%, a difference of 0.29%), and in labor force | age 35-44 (85.2% compared to 84.7%, a difference of 0.57%).

When considering family structure, the most significant differences between German Russian and Immigrants from Eastern Asia communities in the United States are seen in births to unmarried women (33.1% compared to 25.0%, a difference of 32.1%), single mother households (6.7% compared to 5.1%, a difference of 30.7%), and single father households (2.4% compared to 1.9%, a difference of 26.2%). Conversely, both communities are more comparable in terms of average family size (3.15 compared to 3.22, a difference of 2.4%), family households with children (26.8% compared to 27.7%, a difference of 3.2%), and currently married (45.5% compared to 48.2%, a difference of 5.9%).

When considering vehicle availability, the most significant differences between German Russian and Immigrants from Eastern Asia communities in the United States are seen in no vehicles in household (10.5% compared to 13.5%, a difference of 28.6%), 4 or more vehicles in household (7.0% compared to 6.2%, a difference of 12.3%), and 3 or more vehicles in household (20.5% compared to 18.8%, a difference of 8.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.6% compared to 86.5%, a difference of 3.5%), 2 or more vehicles in household (55.6% compared to 53.2%, a difference of 4.4%), and 3 or more vehicles in household (20.5% compared to 18.8%, a difference of 8.8%).

When considering education level, the most significant differences between German Russian and Immigrants from Eastern Asia communities in the United States are seen in doctorate degree (1.8% compared to 3.0%, a difference of 67.2%), professional degree (4.0% compared to 6.6%, a difference of 65.5%), and master's degree (13.5% compared to 20.8%, a difference of 54.7%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.8% compared to 91.8%, a difference of 0.020%), high school diploma (90.0% compared to 89.9%, a difference of 0.12%), and 11th grade (93.3% compared to 92.7%, a difference of 0.56%).

When considering disability, the most significant differences between German Russian and Immigrants from Eastern Asia communities in the United States are seen in disability age under 5 (1.6% compared to 1.0%, a difference of 59.4%), disability age 35 to 64 (12.5% compared to 8.8%, a difference of 41.8%), and disability age 18 to 34 (7.4% compared to 5.6%, a difference of 31.9%). Conversely, both communities are more comparable in terms of disability age over 75 (47.3% compared to 46.2%, a difference of 2.4%), self-care disability (2.5% compared to 2.3%, a difference of 6.3%), and cognitive disability (18.2% compared to 16.8%, a difference of 8.5%).