Immigrants from Hungary vs Eastern European Community Comparison

The statistical analysis conducted on geographies consisting of 188,473,302 people shows a weak negative correlation between the proportion of Eastern Europeans within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of -0.240. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is a decrease of 0.180% in Eastern Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to a decrease of 179.8 Eastern Europeans.

When considering income, the most significant differences between Immigrants from Hungary and Eastern European communities in the United States are seen in per capita income ($49,303 compared to $55,780, a difference of 13.1%), median family income ($111,378 compared to $125,546, a difference of 12.7%), and householder income ages 25 - 44 years ($102,655 compared to $114,523, a difference of 11.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,798 compared to $54,066, a difference of 2.4%), wage/income gap (27.0% compared to 28.6%, a difference of 6.0%), and median female earnings ($41,820 compared to $45,385, a difference of 8.5%).

When considering poverty, the most significant differences between Immigrants from Hungary and Eastern European communities in the United States are seen in married-couple family poverty (4.9% compared to 4.1%, a difference of 19.5%), child poverty under the age of 16 (15.5% compared to 13.2%, a difference of 17.3%), and child poverty among girls under 16 (15.8% compared to 13.5%, a difference of 16.7%). Conversely, both communities are more comparable in terms of single male poverty (12.6% compared to 12.7%, a difference of 0.53%), female poverty among 18-24 year olds (19.3% compared to 19.9%, a difference of 3.1%), and single father poverty (16.1% compared to 16.6%, a difference of 3.5%).

When considering unemployment, the most significant differences between Immigrants from Hungary and Eastern European communities in the United States are seen in unemployment among seniors over 75 years (7.7% compared to 8.9%, a difference of 15.1%), unemployment among women with children under 18 years (5.5% compared to 5.0%, a difference of 9.4%), and unemployment among ages 35 to 44 years (4.6% compared to 4.3%, a difference of 6.0%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.5% compared to 17.6%, a difference of 0.50%), unemployment among ages 55 to 59 years (4.8% compared to 4.9%, a difference of 0.63%), and unemployment among women with children under 6 years (7.1% compared to 7.2%, a difference of 1.1%).

When considering labor participation, the most significant differences between Immigrants from Hungary and Eastern European communities in the United States are seen in in labor force | age 45-54 (82.7% compared to 83.5%, a difference of 1.0%), in labor force | age 35-44 (84.4% compared to 85.2%, a difference of 0.96%), and in labor force | age 20-64 (79.5% compared to 80.2%, a difference of 0.94%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.9% compared to 74.8%, a difference of 0.17%), in labor force | age 16-19 (36.2% compared to 36.4%, a difference of 0.57%), and in labor force | age 30-34 (85.1% compared to 85.7%, a difference of 0.70%).

When considering family structure, the most significant differences between Immigrants from Hungary and Eastern European communities in the United States are seen in single mother households (5.7% compared to 5.2%, a difference of 9.1%), single father households (2.1% compared to 2.0%, a difference of 7.2%), and births to unmarried women (29.7% compared to 27.7%, a difference of 7.2%). Conversely, both communities are more comparable in terms of family households with children (26.7% compared to 26.7%, a difference of 0.0%), family households (63.6% compared to 63.4%, a difference of 0.34%), and average family size (3.17 compared to 3.12, a difference of 1.6%).

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Eastern European communities in the United States are seen in no vehicles in household (11.1% compared to 11.7%, a difference of 5.1%), 3 or more vehicles in household (18.5% compared to 18.7%, a difference of 1.4%), and 4 or more vehicles in household (5.8% compared to 5.9%, a difference of 1.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 88.5%, a difference of 0.59%), 2 or more vehicles in household (54.2% compared to 54.8%, a difference of 1.1%), and 4 or more vehicles in household (5.8% compared to 5.9%, a difference of 1.2%).

When considering education level, the most significant differences between Immigrants from Hungary and Eastern European communities in the United States are seen in professional degree (5.5% compared to 7.1%, a difference of 30.0%), doctorate degree (2.2% compared to 2.8%, a difference of 25.6%), and no schooling completed (1.9% compared to 1.6%, a difference of 23.6%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 98.5%, a difference of 0.38%), kindergarten (98.1% compared to 98.5%, a difference of 0.38%), and 1st grade (98.1% compared to 98.5%, a difference of 0.38%).

When considering disability, the most significant differences between Immigrants from Hungary and Eastern European communities in the United States are seen in vision disability (2.1% compared to 2.0%, a difference of 6.4%), disability age 65 to 74 (21.7% compared to 20.6%, a difference of 5.3%), and disability age 35 to 64 (10.4% compared to 10.0%, a difference of 4.7%). Conversely, both communities are more comparable in terms of disability age under 5 (1.4% compared to 1.4%, a difference of 0.12%), disability age 18 to 34 (6.5% compared to 6.5%, a difference of 0.36%), and hearing disability (3.1% compared to 3.1%, a difference of 0.57%).