German Russian vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 94,515,331 people shows a substantial negative correlation between the proportion of Indians (Asian) within German Russian communities in the United States with a correlation coefficient (R) of -0.545. On average, for every 1% (one percent) increase in German Russians within a typical geography, there is a decrease of 0.301% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 German Russians corresponds to a decrease of 300.8 Indians (Asian).

When considering income, the most significant differences between German Russian and Indian (Asian) communities in the United States are seen in householder income ages 25 - 44 years ($85,220 compared to $119,496, a difference of 40.2%), median household income ($75,856 compared to $105,262, a difference of 38.8%), and householder income ages 45 - 64 years ($89,398 compared to $122,343, a difference of 36.8%). Conversely, both communities are more comparable in terms of wage/income gap (24.6% compared to 26.4%, a difference of 7.4%), median female earnings ($37,105 compared to $46,481, a difference of 25.3%), and householder income over 65 years ($55,356 compared to $70,238, a difference of 26.9%).

When considering poverty, the most significant differences between German Russian and Indian (Asian) communities in the United States are seen in child poverty under the age of 5 (18.8% compared to 13.4%, a difference of 39.7%), child poverty among girls under 16 (17.8% compared to 13.3%, a difference of 33.5%), and female poverty among 25-34 year olds (14.9% compared to 11.2%, a difference of 33.1%). 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 1.2%), married-couple family poverty (5.0% compared to 4.8%, a difference of 2.8%), and seniors poverty over the age of 75 (12.3% compared to 12.7%, a difference of 3.8%).

When considering unemployment, the most significant differences between German Russian and Indian (Asian) 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 30.3%), unemployment among women with children ages 6 to 17 years (8.5% compared to 7.7%, a difference of 10.5%), and unemployment among ages 55 to 59 years (4.5% compared to 4.9%, a difference of 9.3%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.2% compared to 17.3%, a difference of 0.51%), unemployment among ages 25 to 29 years (6.2% compared to 6.3%, a difference of 1.2%), and unemployment among seniors over 65 years (5.2% compared to 5.2%, a difference of 1.3%).

When considering labor participation, the most significant differences between German Russian and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (42.4% compared to 31.9%, a difference of 33.2%), in labor force | age 20-24 (77.5% compared to 71.9%, a difference of 7.8%), 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 30-34 (85.2% compared to 85.4%, a difference of 0.15%), in labor force | age 20-64 (80.1% compared to 79.9%, a difference of 0.33%), and in labor force | age 35-44 (85.2% compared to 84.8%, a difference of 0.45%).

When considering family structure, the most significant differences between German Russian and Indian (Asian) communities in the United States are seen in births to unmarried women (33.1% compared to 25.3%, a difference of 31.0%), single mother households (6.7% compared to 5.1%, a difference of 30.5%), and single father households (2.4% compared to 1.9%, a difference of 25.0%). Conversely, both communities are more comparable in terms of family households with children (26.8% compared to 27.6%, a difference of 2.9%), average family size (3.15 compared to 3.24, a difference of 3.1%), and currently married (45.5% compared to 48.0%, a difference of 5.4%).

When considering vehicle availability, the most significant differences between German Russian and Indian (Asian) communities in the United States are seen in no vehicles in household (10.5% compared to 14.1%, a difference of 33.4%), 4 or more vehicles in household (7.0% compared to 6.4%, a difference of 8.5%), and 3 or more vehicles in household (20.5% compared to 19.1%, a difference of 7.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.6% compared to 86.0%, a difference of 4.1%), 2 or more vehicles in household (55.6% compared to 53.1%, a difference of 4.7%), and 3 or more vehicles in household (20.5% compared to 19.1%, a difference of 7.2%).

When considering education level, the most significant differences between German Russian and Indian (Asian) communities in the United States are seen in professional degree (4.0% compared to 6.5%, a difference of 64.3%), doctorate degree (1.8% compared to 2.9%, a difference of 64.2%), and master's degree (13.5% compared to 20.5%, a difference of 51.9%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.8% compared to 91.5%, a difference of 0.25%), high school diploma (90.0% compared to 89.6%, a difference of 0.42%), and nursery school (98.2% compared to 97.6%, a difference of 0.62%).

When considering disability, the most significant differences between German Russian and Indian (Asian) communities in the United States are seen in disability age under 5 (1.6% compared to 1.0%, a difference of 62.5%), disability age 35 to 64 (12.5% compared to 8.9%, a difference of 40.7%), and disability age 18 to 34 (7.4% compared to 5.5%, a difference of 32.6%). Conversely, both communities are more comparable in terms of disability age over 75 (47.3% compared to 46.5%, a difference of 1.6%), self-care disability (2.5% compared to 2.3%, a difference of 4.8%), and cognitive disability (18.2% compared to 16.8%, a difference of 8.2%).