Eastern European vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 428,953,379 people shows a weak negative correlation between the proportion of Indians (Asian) within Eastern European communities in the United States with a correlation coefficient (R) of -0.211. On average, for every 1% (one percent) increase in Eastern Europeans within a typical geography, there is a decrease of 0.101% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Eastern Europeans corresponds to a decrease of 101.1 Indians (Asian).

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

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

When considering unemployment, the most significant differences between Eastern European and Indian (Asian) communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 6.3%, a difference of 14.4%), unemployment among women with children ages 6 to 17 years (8.6% compared to 7.7%, a difference of 11.7%), and unemployment among seniors over 75 years (8.9% compared to 8.0%, a difference of 11.3%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.6% compared to 11.5%, 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 Eastern European and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (36.4% compared to 31.9%, a difference of 14.1%), in labor force | age 20-24 (74.8% compared to 71.9%, a difference of 4.0%), and in labor force | age 25-29 (85.5% compared to 84.7%, a difference of 0.92%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.5% compared to 83.3%, a difference of 0.24%), in labor force | age 30-34 (85.7% compared to 85.4%, a difference of 0.40%), and in labor force | age 20-64 (80.2% compared to 79.9%, a difference of 0.43%).

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

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

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

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