White/Caucasian vs Immigrants from Eastern Europe Community Comparison

The statistical analysis conducted on geographies consisting of 459,390,474 people shows a significant positive correlation between the proportion of Immigrants from Eastern Europe within White/Caucasian communities in the United States with a correlation coefficient (R) of 0.608. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is an increase of 0.007% in Immigrants from Eastern Europe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to an increase of 7.2 Immigrants from Eastern Europe.

When considering income, the most significant differences between White/Caucasian and Immigrants from Eastern Europe communities in the United States are seen in per capita income ($42,180 compared to $49,316, a difference of 16.9%), median female earnings ($37,531 compared to $43,309, a difference of 15.4%), and median earnings ($45,197 compared to $51,624, a difference of 14.2%). Conversely, both communities are more comparable in terms of householder income over 65 years ($58,847 compared to $62,693, a difference of 6.5%), wage/income gap (28.5% compared to 26.4%, a difference of 8.1%), and householder income under 25 years ($50,336 compared to $55,572, a difference of 10.4%).

When considering poverty, the most significant differences between White/Caucasian and Immigrants from Eastern Europe communities in the United States are seen in female poverty among 25-34 year olds (14.7% compared to 12.0%, a difference of 22.4%), single male poverty (14.5% compared to 11.8%, a difference of 22.3%), and child poverty under the age of 5 (18.1% compared to 15.1%, a difference of 19.6%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.8% compared to 4.9%, a difference of 1.1%), receiving food stamps (11.1% compared to 10.8%, a difference of 2.0%), and seniors poverty over the age of 65 (10.0% compared to 10.9%, a difference of 8.3%).

When considering unemployment, the most significant differences between White/Caucasian and Immigrants from Eastern Europe communities in the United States are seen in unemployment among women with children under 6 years (8.4% compared to 7.1%, a difference of 18.4%), unemployment among seniors over 75 years (10.1% compared to 8.8%, a difference of 14.1%), and unemployment among women with children ages 6 to 17 years (9.6% compared to 8.5%, a difference of 13.3%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.4% compared to 5.3%, a difference of 0.53%), unemployment among ages 35 to 44 years (4.6% compared to 4.6%, a difference of 0.84%), and unemployment among women with children under 18 years (5.3% compared to 5.2%, a difference of 0.85%).

When considering labor participation, the most significant differences between White/Caucasian and Immigrants from Eastern Europe communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 35.8%, a difference of 15.5%), in labor force | age > 16 (63.6% compared to 65.4%, a difference of 2.8%), and in labor force | age 20-24 (76.9% compared to 74.9%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.2% compared to 85.2%, a difference of 1.2%), in labor force | age 35-44 (83.6% compared to 84.9%, a difference of 1.5%), and in labor force | age 45-54 (81.9% compared to 83.3%, a difference of 1.8%).

When considering family structure, the most significant differences between White/Caucasian and Immigrants from Eastern Europe communities in the United States are seen in births to unmarried women (33.3% compared to 27.6%, a difference of 20.6%), single father households (2.4% compared to 2.0%, a difference of 20.0%), and divorced or separated (12.6% compared to 11.5%, a difference of 10.2%). Conversely, both communities are more comparable in terms of average family size (3.14 compared to 3.17, a difference of 0.87%), currently married (48.6% compared to 48.0%, a difference of 1.3%), and family households (65.1% compared to 64.0%, a difference of 1.8%).

When considering vehicle availability, the most significant differences between White/Caucasian and Immigrants from Eastern Europe communities in the United States are seen in no vehicles in household (7.0% compared to 13.6%, a difference of 93.2%), 4 or more vehicles in household (7.4% compared to 5.4%, a difference of 35.5%), and 3 or more vehicles in household (22.6% compared to 17.4%, a difference of 29.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 86.7%, a difference of 7.3%), 2 or more vehicles in household (60.8% compared to 51.7%, a difference of 17.6%), and 3 or more vehicles in household (22.6% compared to 17.4%, a difference of 29.8%).

When considering education level, the most significant differences between White/Caucasian and Immigrants from Eastern Europe communities in the United States are seen in professional degree (4.1% compared to 5.2%, a difference of 28.7%), master's degree (13.8% compared to 17.6%, a difference of 27.2%), and no schooling completed (1.6% compared to 2.0%, a difference of 24.5%). Conversely, both communities are more comparable in terms of high school diploma (90.1% compared to 90.1%, a difference of 0.060%), 11th grade (93.3% compared to 93.2%, a difference of 0.11%), and 12th grade, no diploma (91.8% compared to 92.1%, a difference of 0.26%).

When considering disability, the most significant differences between White/Caucasian and Immigrants from Eastern Europe communities in the United States are seen in disability age under 5 (1.7% compared to 1.2%, a difference of 40.0%), disability age 35 to 64 (12.6% compared to 10.1%, a difference of 25.3%), and disability age 18 to 34 (7.6% compared to 6.2%, a difference of 24.0%). Conversely, both communities are more comparable in terms of disability age over 75 (47.3% compared to 46.3%, a difference of 2.1%), self-care disability (2.6% compared to 2.5%, a difference of 2.5%), and cognitive disability (17.0% compared to 16.5%, a difference of 3.2%).