Nonimmigrants vs Immigrants from Eastern Europe Community Comparison

The statistical analysis conducted on geographies consisting of 475,826,243 people shows a weak negative correlation between the proportion of Immigrants from Eastern Europe within Nonimmigrant communities in the United States with a correlation coefficient (R) of -0.212. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is a decrease of 0.014% in Immigrants from Eastern Europe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to a decrease of 14.1 Immigrants from Eastern Europe.

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

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

When considering unemployment, the most significant differences between Nonimmigrants and Immigrants from Eastern Europe communities in the United States are seen in unemployment among women with children under 6 years (8.8% compared to 7.1%, a difference of 25.3%), unemployment among women with children ages 6 to 17 years (10.0% compared to 8.5%, a difference of 17.6%), and unemployment among ages 30 to 34 years (6.1% compared to 5.3%, 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 (17.9% compared to 17.8%, a difference of 0.18%).

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

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

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

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

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