Immigrants from Eastern Europe vs Nonimmigrants Community Comparison

The statistical analysis conducted on geographies consisting of 475,909,339 people shows a strong negative correlation between the proportion of Nonimmigrants within Immigrant from Eastern Europe communities in the United States with a correlation coefficient (R) of -0.761. On average, for every 1% (one percent) increase in Immigrants from Eastern Europe within a typical geography, there is a decrease of 0.637% in Nonimmigrants. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Europe corresponds to a decrease of 637.5 Nonimmigrants.

When considering income, the most significant differences between Immigrants from Eastern Europe and Nonimmigrants communities in the United States are seen in per capita income ($49,316 compared to $40,669, a difference of 21.3%), householder income ages 25 - 44 years ($104,662 compared to $88,301, a difference of 18.5%), and median household income ($93,051 compared to $79,429, a difference of 17.2%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 27.2%, a difference of 3.1%), householder income over 65 years ($62,693 compared to $57,426, a difference of 9.2%), and householder income under 25 years ($55,572 compared to $49,348, a difference of 12.6%).

When considering poverty, the most significant differences between Immigrants from Eastern Europe and Nonimmigrants communities in the United States are seen in female poverty among 25-34 year olds (12.0% compared to 15.6%, a difference of 30.5%), child poverty under the age of 5 (15.1% compared to 19.7%, a difference of 30.5%), and child poverty among girls under 16 (14.6% compared to 18.3%, a difference of 25.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.9% compared to 10.9%, a difference of 0.060%), seniors poverty over the age of 75 (12.6% compared to 12.2%, a difference of 3.1%), and married-couple family poverty (4.9% compared to 5.3%, a difference of 8.8%).

When considering unemployment, the most significant differences between Immigrants from Eastern Europe and Nonimmigrants communities in the United States are seen in unemployment among women with children under 6 years (7.1% compared to 8.8%, a difference of 25.3%), unemployment among women with children ages 6 to 17 years (8.5% compared to 10.0%, a difference of 17.6%), and unemployment among ages 30 to 34 years (5.3% compared to 6.1%, a difference of 13.3%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.060%), unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.14%), and unemployment among ages 16 to 19 years (17.8% compared to 17.9%, a difference of 0.18%).

When considering labor participation, the most significant differences between Immigrants from Eastern Europe and Nonimmigrants communities in the United States are seen in in labor force | age 16-19 (35.8% compared to 40.1%, a difference of 12.1%), in labor force | age > 16 (65.4% compared to 63.5%, a difference of 2.9%), and in labor force | age 20-64 (80.2% compared to 78.1%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.2% compared to 83.7%, a difference of 1.7%), in labor force | age 20-24 (74.9% compared to 76.2%, a difference of 1.8%), and in labor force | age 35-44 (84.9% compared to 83.2%, a difference of 2.0%).

When considering family structure, the most significant differences between Immigrants from Eastern Europe and Nonimmigrants communities in the United States are seen in births to unmarried women (27.6% compared to 35.5%, a difference of 28.9%), single father households (2.0% compared to 2.4%, a difference of 22.8%), and single mother households (5.6% compared to 6.7%, a difference of 19.4%). Conversely, both communities are more comparable in terms of average family size (3.17 compared to 3.19, a difference of 0.49%), married-couple households (47.4% compared to 46.9%, a difference of 1.1%), and family households (64.0% compared to 64.8%, a difference of 1.3%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Europe and Nonimmigrants communities in the United States are seen in no vehicles in household (13.6% compared to 7.9%, a difference of 72.1%), 4 or more vehicles in household (5.4% compared to 7.2%, a difference of 32.9%), and 3 or more vehicles in household (17.4% compared to 21.8%, a difference of 25.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.7% compared to 92.2%, a difference of 6.3%), 2 or more vehicles in household (51.7% compared to 58.8%, a difference of 13.6%), and 3 or more vehicles in household (17.4% compared to 21.8%, a difference of 25.1%).

When considering education level, the most significant differences between Immigrants from Eastern Europe and Nonimmigrants communities in the United States are seen in professional degree (5.2% compared to 3.9%, a difference of 34.4%), master's degree (17.6% compared to 13.3%, a difference of 31.9%), and doctorate degree (2.1% compared to 1.7%, a difference of 25.5%). Conversely, both communities are more comparable in terms of 9th grade (95.2% compared to 95.3%, a difference of 0.12%), 10th grade (94.3% compared to 94.1%, a difference of 0.19%), and 8th grade (96.0% compared to 96.2%, a difference of 0.23%).

When considering disability, the most significant differences between Immigrants from Eastern Europe and Nonimmigrants communities in the United States are seen in disability age under 5 (1.2% compared to 1.6%, a difference of 35.4%), disability age 35 to 64 (10.1% compared to 13.0%, a difference of 29.5%), and disability age 18 to 34 (6.2% compared to 7.6%, a difference of 24.1%). Conversely, both communities are more comparable in terms of disability age over 75 (46.3% compared to 48.0%, a difference of 3.7%), cognitive disability (16.5% compared to 17.4%, a difference of 5.7%), and self-care disability (2.5% compared to 2.6%, a difference of 5.9%).