German Russian vs Immigrants from Oceania Community Comparison

The statistical analysis conducted on geographies consisting of 82,378,699 people shows a mild positive correlation between the proportion of Immigrants from Oceania within German Russian communities in the United States with a correlation coefficient (R) of 0.395. On average, for every 1% (one percent) increase in German Russians within a typical geography, there is an increase of 0.057% in Immigrants from Oceania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 German Russians corresponds to an increase of 56.8 Immigrants from Oceania.

When considering income, the most significant differences between German Russian and Immigrants from Oceania communities in the United States are seen in householder income under 25 years ($45,673 compared to $53,680, a difference of 17.5%), median household income ($75,856 compared to $89,100, a difference of 17.5%), and householder income over 65 years ($55,356 compared to $64,416, a difference of 16.4%). Conversely, both communities are more comparable in terms of wage/income gap (24.6% compared to 25.6%, a difference of 4.1%), median female earnings ($37,105 compared to $40,297, a difference of 8.6%), and median earnings ($43,200 compared to $47,617, a difference of 10.2%).

When considering poverty, the most significant differences between German Russian and Immigrants from Oceania communities in the United States are seen in female poverty among 18-24 year olds (25.2% compared to 19.7%, a difference of 27.5%), single female poverty (23.9% compared to 20.7%, a difference of 15.6%), and single father poverty (17.7% compared to 15.4%, a difference of 14.5%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.0% compared to 5.0%, a difference of 1.4%), receiving food stamps (11.8% compared to 11.4%, a difference of 3.4%), and seniors poverty over the age of 65 (11.0% compared to 10.4%, a difference of 5.0%).

When considering unemployment, the most significant differences between German Russian and Immigrants from Oceania communities in the United States are seen in unemployment among women with children under 6 years (8.2% compared to 7.5%, a difference of 9.7%), unemployment among ages 30 to 34 years (5.0% compared to 5.4%, a difference of 8.2%), and unemployment among ages 65 to 74 years (5.5% compared to 5.2%, a difference of 7.5%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.2% compared to 17.2%, a difference of 0.090%), unemployment among ages 20 to 24 years (10.1% compared to 10.0%, a difference of 1.1%), and unemployment among women with children under 18 years (5.4% compared to 5.3%, a difference of 1.3%).

When considering labor participation, the most significant differences between German Russian and Immigrants from Oceania communities in the United States are seen in in labor force | age 16-19 (42.4% compared to 37.9%, a difference of 12.0%), in labor force | age 25-29 (85.8% compared to 84.2%, a difference of 2.0%), and in labor force | age 20-24 (77.5% compared to 76.1%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.1% compared to 65.5%, a difference of 0.90%), in labor force | age 45-54 (82.8% compared to 82.1%, a difference of 0.92%), and in labor force | age 20-64 (80.1% compared to 79.3%, a difference of 1.0%).

When considering family structure, the most significant differences between German Russian and Immigrants from Oceania communities in the United States are seen in births to unmarried women (33.1% compared to 30.6%, a difference of 8.2%), married-couple households (44.0% compared to 46.9%, a difference of 6.6%), and family households (60.9% compared to 64.9%, a difference of 6.6%). Conversely, both communities are more comparable in terms of divorced or separated (12.0% compared to 11.9%, a difference of 0.67%), currently married (45.5% compared to 46.5%, a difference of 2.3%), and single father households (2.4% compared to 2.5%, a difference of 3.1%).

When considering vehicle availability, the most significant differences between German Russian and Immigrants from Oceania communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 7.6%, a difference of 9.3%), no vehicles in household (10.5% compared to 9.7%, a difference of 8.3%), and 3 or more vehicles in household (20.5% compared to 21.8%, a difference of 6.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.6% compared to 90.4%, a difference of 0.83%), 2 or more vehicles in household (55.6% compared to 57.5%, a difference of 3.5%), and 3 or more vehicles in household (20.5% compared to 21.8%, a difference of 6.4%).

When considering education level, the most significant differences between German Russian and Immigrants from Oceania communities in the United States are seen in no schooling completed (1.8% compared to 2.2%, a difference of 22.4%), professional degree (4.0% compared to 4.6%, a difference of 15.1%), and master's degree (13.5% compared to 14.7%, a difference of 9.0%). Conversely, both communities are more comparable in terms of college, under 1 year (65.4% compared to 65.6%, a difference of 0.29%), nursery school (98.2% compared to 97.8%, a difference of 0.43%), and kindergarten (98.2% compared to 97.8%, a difference of 0.43%).

When considering disability, the most significant differences between German Russian and Immigrants from Oceania communities in the United States are seen in disability age under 5 (1.6% compared to 1.2%, a difference of 40.1%), disability age 18 to 34 (7.4% compared to 6.7%, a difference of 10.4%), and disability age 35 to 64 (12.5% compared to 11.4%, a difference of 9.6%). Conversely, both communities are more comparable in terms of disability age over 75 (47.3% compared to 48.0%, a difference of 1.6%), self-care disability (2.5% compared to 2.5%, a difference of 1.7%), and disability age 65 to 74 (24.4% compared to 24.0%, a difference of 2.0%).