Indian (Asian) vs Eastern European Community Comparison

The statistical analysis conducted on geographies consisting of 428,938,841 people shows a moderate negative correlation between the proportion of Eastern Europeans within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.404. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.010% in Eastern Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 10.0 Eastern Europeans.

When considering income, the most significant differences between Indian (Asian) and Eastern European communities in the United States are seen in wage/income gap (26.4% compared to 28.6%, a difference of 8.3%), householder income under 25 years ($58,239 compared to $54,066, a difference of 7.7%), and householder income ages 25 - 44 years ($119,496 compared to $114,523, a difference of 4.3%). Conversely, both communities are more comparable in terms of median family income ($125,312 compared to $125,546, a difference of 0.19%), householder income over 65 years ($70,238 compared to $70,470, a difference of 0.33%), and median male earnings ($66,078 compared to $66,472, a difference of 0.60%).

When considering poverty, the most significant differences between Indian (Asian) and Eastern European communities in the United States are seen in married-couple family poverty (4.8% compared to 4.1%, a difference of 17.4%), seniors poverty over the age of 65 (11.1% compared to 9.6%, a difference of 15.3%), and seniors poverty over the age of 75 (12.7% compared to 11.3%, a difference of 13.1%). Conversely, both communities are more comparable in terms of child poverty under the age of 16 (13.1% compared to 13.2%, a difference of 0.29%), child poverty among girls under 16 (13.3% compared to 13.5%, a difference of 1.5%), and female poverty among 18-24 year olds (19.6% compared to 19.9%, a difference of 1.5%).

When considering unemployment, the most significant differences between Indian (Asian) and Eastern European communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.2%, a difference of 14.4%), unemployment among women with children ages 6 to 17 years (7.7% compared to 8.6%, a difference of 11.7%), and unemployment among seniors over 75 years (8.0% compared to 8.9%, a difference of 11.3%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.5% compared to 11.6%, a difference of 0.33%), unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 1.2%), and unemployment among ages 55 to 59 years (4.9% compared to 4.9%, a difference of 1.5%).

When considering labor participation, the most significant differences between Indian (Asian) and Eastern European communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 36.4%, a difference of 14.1%), in labor force | age 20-24 (71.9% compared to 74.8%, a difference of 4.0%), and in labor force | age 25-29 (84.7% compared to 85.5%, a difference of 0.92%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.3% compared to 83.5%, a difference of 0.24%), in labor force | age 30-34 (85.4% compared to 85.7%, a difference of 0.40%), and in labor force | age 20-64 (79.9% compared to 80.2%, a difference of 0.43%).

When considering family structure, the most significant differences between Indian (Asian) and Eastern European communities in the United States are seen in divorced or separated (10.2% compared to 11.3%, a difference of 10.8%), births to unmarried women (25.3% compared to 27.7%, a difference of 9.8%), and average family size (3.24 compared to 3.12, a difference of 4.0%). Conversely, both communities are more comparable in terms of married-couple households (48.7% compared to 48.6%, a difference of 0.15%), single mother households (5.1% compared to 5.2%, a difference of 1.6%), and currently married (48.0% compared to 48.9%, a difference of 1.9%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Eastern European communities in the United States are seen in no vehicles in household (14.1% compared to 11.7%, a difference of 20.6%), 4 or more vehicles in household (6.4% compared to 5.9%, a difference of 8.9%), and 2 or more vehicles in household (53.1% compared to 54.8%, a difference of 3.2%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (19.1% compared to 18.7%, a difference of 2.1%), 1 or more vehicles in household (86.0% compared to 88.5%, a difference of 2.8%), and 2 or more vehicles in household (53.1% compared to 54.8%, a difference of 3.2%).

When considering education level, the most significant differences between Indian (Asian) and Eastern European communities in the United States are seen in no schooling completed (2.5% compared to 1.6%, a difference of 59.0%), professional degree (6.5% compared to 7.1%, a difference of 8.8%), and master's degree (20.5% compared to 21.1%, a difference of 3.2%). Conversely, both communities are more comparable in terms of bachelor's degree (47.4% compared to 47.5%, a difference of 0.15%), associate's degree (54.8% compared to 55.0%, a difference of 0.48%), and college, 1 year or more (66.1% compared to 66.6%, a difference of 0.71%).

When considering disability, the most significant differences between Indian (Asian) and Eastern European communities in the United States are seen in disability age under 5 (1.0% compared to 1.4%, a difference of 36.6%), disability age 18 to 34 (5.5% compared to 6.5%, a difference of 17.6%), and hearing disability (2.7% compared to 3.1%, a difference of 15.1%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (20.5% compared to 20.6%, a difference of 0.40%), self-care disability (2.3% compared to 2.3%, a difference of 0.56%), and cognitive disability (16.8% compared to 16.3%, a difference of 3.2%).