Immigrants from Western Asia vs Eastern European Community Comparison

The statistical analysis conducted on geographies consisting of 367,845,393 people shows a mild negative correlation between the proportion of Eastern Europeans within Immigrant from Western Asia communities in the United States with a correlation coefficient (R) of -0.395. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is a decrease of 0.027% in Eastern Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Asia corresponds to a decrease of 27.1 Eastern Europeans.

When considering income, the most significant differences between Immigrants from Western Asia and Eastern European communities in the United States are seen in per capita income ($46,876 compared to $55,780, a difference of 19.0%), median family income ($108,691 compared to $125,546, a difference of 15.5%), and householder income ages 25 - 44 years ($99,516 compared to $114,523, a difference of 15.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,190 compared to $54,066, a difference of 3.6%), wage/income gap (26.3% compared to 28.6%, a difference of 8.9%), and median female earnings ($41,375 compared to $45,385, a difference of 9.7%).

When considering poverty, the most significant differences between Immigrants from Western Asia and Eastern European communities in the United States are seen in married-couple family poverty (6.0% compared to 4.1%, a difference of 45.2%), family poverty (9.3% compared to 7.2%, a difference of 28.1%), and receiving food stamps (11.6% compared to 9.2%, a difference of 26.9%). Conversely, both communities are more comparable in terms of single male poverty (12.5% compared to 12.7%, a difference of 1.4%), female poverty among 18-24 year olds (20.3% compared to 19.9%, a difference of 2.1%), and single father poverty (16.0% compared to 16.6%, a difference of 3.7%).

When considering unemployment, the most significant differences between Immigrants from Western Asia and Eastern European communities in the United States are seen in female unemployment (5.6% compared to 4.9%, a difference of 15.6%), unemployment (5.5% compared to 4.9%, a difference of 13.9%), and unemployment among women with children under 18 years (5.6% compared to 5.0%, a difference of 12.7%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.7% compared to 8.6%, a difference of 0.92%), unemployment among seniors over 75 years (9.0% compared to 8.9%, a difference of 1.2%), and unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 1.5%).

When considering labor participation, the most significant differences between Immigrants from Western Asia and Eastern European communities in the United States are seen in in labor force | age 16-19 (34.8% compared to 36.4%, a difference of 4.5%), in labor force | age 35-44 (83.8% compared to 85.2%, a difference of 1.8%), and in labor force | age 25-29 (84.1% compared to 85.5%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.3% compared to 65.1%, a difference of 0.24%), in labor force | age 20-64 (79.2% compared to 80.2%, a difference of 1.3%), and in labor force | age 45-54 (82.4% compared to 83.5%, a difference of 1.3%).

When considering family structure, the most significant differences between Immigrants from Western Asia and Eastern European communities in the United States are seen in single mother households (5.7% compared to 5.2%, a difference of 10.4%), single father households (2.1% compared to 2.0%, a difference of 5.3%), and average family size (3.26 compared to 3.12, a difference of 4.4%). Conversely, both communities are more comparable in terms of divorced or separated (11.2% compared to 11.3%, a difference of 1.0%), family households (64.1% compared to 63.4%, a difference of 1.0%), and births to unmarried women (27.2% compared to 27.7%, a difference of 1.9%).

When considering vehicle availability, the most significant differences between Immigrants from Western Asia and Eastern European communities in the United States are seen in no vehicles in household (11.0% compared to 11.7%, a difference of 5.6%), 3 or more vehicles in household (18.4% compared to 18.7%, a difference of 1.7%), and 2 or more vehicles in household (54.1% compared to 54.8%, a difference of 1.3%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (5.9% compared to 5.9%, a difference of 0.38%), 1 or more vehicles in household (89.0% compared to 88.5%, a difference of 0.60%), and 2 or more vehicles in household (54.1% compared to 54.8%, a difference of 1.3%).

When considering education level, the most significant differences between Immigrants from Western Asia and Eastern European communities in the United States are seen in no schooling completed (2.3% compared to 1.6%, a difference of 50.7%), professional degree (5.4% compared to 7.1%, a difference of 31.2%), and doctorate degree (2.2% compared to 2.8%, a difference of 25.5%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.5%, a difference of 0.84%), kindergarten (97.7% compared to 98.5%, a difference of 0.84%), and 1st grade (97.6% compared to 98.5%, a difference of 0.85%).

When considering disability, the most significant differences between Immigrants from Western Asia and Eastern European communities in the United States are seen in disability age under 5 (1.1% compared to 1.4%, a difference of 23.8%), self-care disability (2.6% compared to 2.3%, a difference of 12.4%), and disability age 65 to 74 (23.0% compared to 20.6%, a difference of 11.5%). Conversely, both communities are more comparable in terms of disability (11.2% compared to 11.2%, a difference of 0.16%), female disability (11.7% compared to 11.5%, a difference of 1.7%), and male disability (10.6% compared to 10.9%, a difference of 2.2%).