Indian (Asian) vs German Russian Community Comparison

The statistical analysis conducted on geographies consisting of 94,491,848 people shows a slight positive correlation between the proportion of German Russians within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.079. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.001% in German Russians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 0.5 German Russians.

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

When considering poverty, the most significant differences between Indian (Asian) and German Russian communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 18.8%, a difference of 39.7%), child poverty among girls under 16 (13.3% compared to 17.8%, a difference of 33.5%), and female poverty among 25-34 year olds (11.2% compared to 14.9%, a difference of 33.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.1% compared to 11.0%, a difference of 1.2%), married-couple family poverty (4.8% compared to 5.0%, a difference of 2.8%), and seniors poverty over the age of 75 (12.7% compared to 12.3%, a difference of 3.8%).

When considering unemployment, the most significant differences between Indian (Asian) and German Russian communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 8.2%, a difference of 30.3%), unemployment among women with children ages 6 to 17 years (7.7% compared to 8.5%, a difference of 10.5%), and unemployment among ages 55 to 59 years (4.9% compared to 4.5%, a difference of 9.3%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.3% compared to 17.2%, a difference of 0.51%), unemployment among ages 25 to 29 years (6.3% compared to 6.2%, 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 Indian (Asian) and German Russian communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 42.4%, a difference of 33.2%), in labor force | age 20-24 (71.9% compared to 77.5%, a difference of 7.8%), and in labor force | age 25-29 (84.7% compared to 85.8%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.2%, a difference of 0.15%), in labor force | age 20-64 (79.9% compared to 80.1%, a difference of 0.33%), and in labor force | age 35-44 (84.8% compared to 85.2%, a difference of 0.45%).

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

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

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

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