Indian (Asian) vs Slavic Community Comparison

The statistical analysis conducted on geographies consisting of 260,969,033 people shows a mild negative correlation between the proportion of Slavs within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.314. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.001% in Slavs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 1.1 Slavs.

When considering income, the most significant differences between Indian (Asian) and Slavic communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $96,377, a difference of 24.0%), median household income ($105,262 compared to $86,398, a difference of 21.8%), and per capita income ($53,874 compared to $45,049, a difference of 19.6%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 27.4%, a difference of 3.7%), householder income over 65 years ($70,238 compared to $61,709, a difference of 13.8%), and householder income under 25 years ($58,239 compared to $50,563, a difference of 15.2%).

When considering poverty, the most significant differences between Indian (Asian) and Slavic communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 17.0%, a difference of 26.2%), female poverty among 25-34 year olds (11.2% compared to 13.2%, a difference of 18.2%), and child poverty among boys under 16 (13.3% compared to 15.7%, a difference of 18.0%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.6% compared to 19.7%, a difference of 0.42%), male poverty (10.4% compared to 10.5%, a difference of 1.4%), and poverty (11.3% compared to 11.5%, a difference of 1.9%).

When considering unemployment, the most significant differences between Indian (Asian) and Slavic communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.7%, a difference of 22.9%), unemployment among seniors over 75 years (8.0% compared to 9.2%, a difference of 15.0%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 8.7%, a difference of 12.9%). Conversely, both communities are more comparable in terms of male unemployment (5.2% compared to 5.1%, a difference of 2.5%), unemployment among ages 20 to 24 years (10.3% compared to 10.0%, a difference of 2.5%), and unemployment among youth under 25 years (11.5% compared to 11.2%, a difference of 3.3%).

When considering labor participation, the most significant differences between Indian (Asian) and Slavic communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 40.4%, a difference of 26.7%), in labor force | age 20-24 (71.9% compared to 76.9%, a difference of 6.9%), and in labor force | age > 16 (65.5% compared to 64.6%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.14%), in labor force | age 20-64 (79.9% compared to 79.6%, a difference of 0.36%), and in labor force | age 25-29 (84.7% compared to 85.1%, a difference of 0.41%).

When considering family structure, the most significant differences between Indian (Asian) and Slavic communities in the United States are seen in births to unmarried women (25.3% compared to 31.6%, a difference of 25.1%), divorced or separated (10.2% compared to 12.2%, a difference of 19.9%), and single father households (1.9% compared to 2.2%, a difference of 18.0%). Conversely, both communities are more comparable in terms of currently married (48.0% compared to 48.4%, a difference of 0.82%), family households (65.1% compared to 64.0%, a difference of 1.8%), and married-couple households (48.7% compared to 47.8%, a difference of 1.8%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Slavic communities in the United States are seen in no vehicles in household (14.1% compared to 9.0%, a difference of 57.1%), 2 or more vehicles in household (53.1% compared to 57.8%, a difference of 8.8%), and 3 or more vehicles in household (19.1% compared to 20.4%, a difference of 6.8%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.6%, a difference of 2.0%), 1 or more vehicles in household (86.0% compared to 91.2%, a difference of 6.0%), and 3 or more vehicles in household (19.1% compared to 20.4%, a difference of 6.8%).

When considering education level, the most significant differences between Indian (Asian) and Slavic communities in the United States are seen in doctorate degree (2.9% compared to 1.9%, a difference of 52.9%), no schooling completed (2.5% compared to 1.7%, a difference of 49.9%), and professional degree (6.5% compared to 4.5%, a difference of 43.4%). Conversely, both communities are more comparable in terms of ged/equivalency (87.1% compared to 87.7%, a difference of 0.58%), nursery school (97.6% compared to 98.4%, a difference of 0.81%), and kindergarten (97.6% compared to 98.4%, a difference of 0.81%).

When considering disability, the most significant differences between Indian (Asian) and Slavic communities in the United States are seen in disability age under 5 (1.0% compared to 1.4%, a difference of 40.5%), disability age 18 to 34 (5.5% compared to 7.4%, a difference of 33.3%), and disability age 35 to 64 (8.9% compared to 11.7%, a difference of 31.7%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.1%, a difference of 0.82%), cognitive disability (16.8% compared to 16.7%, a difference of 1.1%), and self-care disability (2.3% compared to 2.5%, a difference of 6.2%).