Immigrants from Eastern Europe vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 445,472,751 people shows a poor negative correlation between the proportion of Indians (Asian) within Immigrant from Eastern Europe communities in the United States with a correlation coefficient (R) of -0.130. On average, for every 1% (one percent) increase in Immigrants from Eastern Europe within a typical geography, there is a decrease of 0.039% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Europe corresponds to a decrease of 38.9 Indians (Asian).

When considering income, the most significant differences between Immigrants from Eastern Europe and Indian (Asian) communities in the United States are seen in householder income ages 25 - 44 years ($104,662 compared to $119,496, a difference of 14.2%), median household income ($93,051 compared to $105,262, a difference of 13.1%), and householder income over 65 years ($62,693 compared to $70,238, a difference of 12.0%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 26.4%, a difference of 0.29%), householder income under 25 years ($55,572 compared to $58,239, a difference of 4.8%), and median female earnings ($43,309 compared to $46,481, a difference of 7.3%).

When considering poverty, the most significant differences between Immigrants from Eastern Europe and Indian (Asian) communities in the United States are seen in receiving food stamps (10.8% compared to 9.6%, a difference of 12.6%), child poverty under the age of 5 (15.1% compared to 13.4%, a difference of 12.5%), and child poverty among boys under 16 (14.7% compared to 13.3%, a difference of 10.8%). Conversely, both communities are more comparable in terms of poverty (11.3% compared to 11.3%, a difference of 0.30%), female poverty (12.3% compared to 12.2%, a difference of 0.79%), and seniors poverty over the age of 75 (12.6% compared to 12.7%, a difference of 1.1%).

When considering unemployment, the most significant differences between Immigrants from Eastern Europe and Indian (Asian) communities in the United States are seen in unemployment among women with children under 6 years (7.1% compared to 6.3%, a difference of 12.2%), unemployment among seniors over 75 years (8.8% compared to 8.0%, a difference of 10.7%), and unemployment among women with children ages 6 to 17 years (8.5% compared to 7.7%, a difference of 10.1%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.1% compared to 5.2%, a difference of 0.10%), female unemployment (5.1% compared to 5.1%, a difference of 0.29%), and unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.33%).

When considering labor participation, the most significant differences between Immigrants from Eastern Europe and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (35.8% compared to 31.9%, a difference of 12.2%), in labor force | age 20-24 (74.9% compared to 71.9%, a difference of 4.2%), and in labor force | age 25-29 (85.2% compared to 84.7%, a difference of 0.54%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.3% compared to 83.3%, a difference of 0.0%), in labor force | age 30-34 (85.4% compared to 85.4%, a difference of 0.060%), and in labor force | age 35-44 (84.9% compared to 84.8%, a difference of 0.14%).

When considering family structure, the most significant differences between Immigrants from Eastern Europe and Indian (Asian) communities in the United States are seen in divorced or separated (11.5% compared to 10.2%, a difference of 12.3%), single mother households (5.6% compared to 5.1%, a difference of 9.6%), and births to unmarried women (27.6% compared to 25.3%, a difference of 9.1%). Conversely, both communities are more comparable in terms of currently married (48.0% compared to 48.0%, a difference of 0.060%), family households (64.0% compared to 65.1%, a difference of 1.8%), and average family size (3.17 compared to 3.24, a difference of 2.3%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Europe and Indian (Asian) communities in the United States are seen in 4 or more vehicles in household (5.4% compared to 6.4%, a difference of 18.4%), 3 or more vehicles in household (17.4% compared to 19.1%, a difference of 9.9%), and no vehicles in household (13.6% compared to 14.1%, a difference of 3.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.7% compared to 86.0%, a difference of 0.82%), 2 or more vehicles in household (51.7% compared to 53.1%, a difference of 2.7%), and no vehicles in household (13.6% compared to 14.1%, a difference of 3.4%).

When considering education level, the most significant differences between Immigrants from Eastern Europe and Indian (Asian) communities in the United States are seen in doctorate degree (2.1% compared to 2.9%, a difference of 37.9%), professional degree (5.2% compared to 6.5%, a difference of 24.4%), and no schooling completed (2.0% compared to 2.5%, a difference of 21.9%). Conversely, both communities are more comparable in terms of ged/equivalency (87.1% compared to 87.1%, a difference of 0.050%), nursery school (98.0% compared to 97.6%, a difference of 0.38%), and kindergarten (98.0% compared to 97.6%, a difference of 0.38%).

When considering disability, the most significant differences between Immigrants from Eastern Europe and Indian (Asian) communities in the United States are seen in disability age under 5 (1.2% compared to 1.0%, a difference of 18.4%), disability age 35 to 64 (10.1% compared to 8.9%, a difference of 13.8%), and disability age 5 to 17 (5.1% compared to 4.6%, a difference of 12.6%). Conversely, both communities are more comparable in terms of disability age over 75 (46.3% compared to 46.5%, a difference of 0.36%), cognitive disability (16.5% compared to 16.8%, a difference of 2.4%), and disability age 65 to 74 (21.8% compared to 20.5%, a difference of 6.1%).