German Russian vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 92,649,878 people shows a substantial negative correlation between the proportion of Immigrants from China within German Russian communities in the United States with a correlation coefficient (R) of -0.528. On average, for every 1% (one percent) increase in German Russians within a typical geography, there is a decrease of 0.183% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 German Russians corresponds to a decrease of 183.4 Immigrants from China.

When considering income, the most significant differences between German Russian and Immigrants from China communities in the United States are seen in householder income ages 25 - 44 years ($85,220 compared to $119,756, a difference of 40.5%), median household income ($75,856 compared to $105,335, a difference of 38.9%), and householder income ages 45 - 64 years ($89,398 compared to $122,178, a difference of 36.7%). Conversely, both communities are more comparable in terms of wage/income gap (24.6% compared to 26.7%, a difference of 8.3%), householder income over 65 years ($55,356 compared to $69,174, a difference of 25.0%), and median female earnings ($37,105 compared to $46,972, a difference of 26.6%).

When considering poverty, the most significant differences between German Russian and Immigrants from China communities in the United States are seen in child poverty under the age of 5 (18.8% compared to 13.6%, a difference of 38.1%), female poverty among 25-34 year olds (14.9% compared to 11.2%, a difference of 32.8%), and child poverty among girls under 16 (17.8% compared to 13.4%, a difference of 32.6%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.0% compared to 5.0%, a difference of 0.11%), seniors poverty over the age of 65 (11.0% compared to 11.5%, a difference of 4.7%), and seniors poverty over the age of 75 (12.3% compared to 13.2%, a difference of 7.7%).

When considering unemployment, the most significant differences between German Russian and Immigrants from China communities in the United States are seen in unemployment among women with children under 6 years (8.2% compared to 6.2%, a difference of 31.8%), unemployment among women with children ages 6 to 17 years (8.5% compared to 7.7%, a difference of 11.1%), and unemployment among ages 55 to 59 years (4.5% compared to 5.0%, a difference of 10.0%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.2% compared to 5.2%, a difference of 0.13%), unemployment among ages 25 to 29 years (6.2% compared to 6.2%, a difference of 1.1%), and unemployment among ages 16 to 19 years (17.2% compared to 17.5%, a difference of 1.3%).

When considering labor participation, the most significant differences between German Russian and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (42.4% compared to 31.1%, a difference of 36.2%), in labor force | age 20-24 (77.5% compared to 71.1%, a difference of 9.1%), and in labor force | age 25-29 (85.8% compared to 84.6%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.2% compared to 85.4%, a difference of 0.15%), in labor force | age 45-54 (82.8% compared to 83.2%, a difference of 0.40%), and in labor force | age 20-64 (80.1% compared to 79.7%, a difference of 0.56%).

When considering family structure, the most significant differences between German Russian and Immigrants from China communities in the United States are seen in births to unmarried women (33.1% compared to 24.7%, a difference of 34.1%), single mother households (6.7% compared to 5.1%, a difference of 31.7%), and single father households (2.4% compared to 1.8%, a difference of 29.1%). Conversely, both communities are more comparable in terms of family households with children (26.8% compared to 27.4%, a difference of 2.4%), average family size (3.15 compared to 3.23, a difference of 2.6%), and currently married (45.5% compared to 47.9%, a difference of 5.2%).

When considering vehicle availability, the most significant differences between German Russian and Immigrants from China communities in the United States are seen in no vehicles in household (10.5% compared to 15.2%, a difference of 43.8%), 4 or more vehicles in household (7.0% compared to 6.0%, a difference of 15.7%), and 3 or more vehicles in household (20.5% compared to 18.2%, a difference of 12.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.6% compared to 84.9%, a difference of 5.5%), 2 or more vehicles in household (55.6% compared to 51.5%, a difference of 8.0%), and 3 or more vehicles in household (20.5% compared to 18.2%, a difference of 12.5%).

When considering education level, the most significant differences between German Russian and Immigrants from China communities in the United States are seen in doctorate degree (1.8% compared to 3.1%, a difference of 74.2%), professional degree (4.0% compared to 6.7%, a difference of 69.6%), and master's degree (13.5% compared to 21.2%, a difference of 57.3%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.8% compared to 91.3%, a difference of 0.53%), high school diploma (90.0% compared to 89.3%, a difference of 0.73%), and nursery school (98.2% compared to 97.5%, a difference of 0.78%).

When considering disability, the most significant differences between German Russian and Immigrants from China communities in the United States are seen in disability age under 5 (1.6% compared to 0.96%, a difference of 69.1%), disability age 35 to 64 (12.5% compared to 8.7%, a difference of 43.2%), and disability age 18 to 34 (7.4% compared to 5.4%, a difference of 35.0%). Conversely, both communities are more comparable in terms of disability age over 75 (47.3% compared to 46.3%, a difference of 2.1%), self-care disability (2.5% compared to 2.3%, a difference of 5.2%), and cognitive disability (18.2% compared to 16.9%, a difference of 7.7%).