Hungarian vs Eastern European Community Comparison

The statistical analysis conducted on geographies consisting of 427,949,819 people shows a weak positive correlation between the proportion of Eastern Europeans within Hungarian communities in the United States with a correlation coefficient (R) of 0.254. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.053% in Eastern Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 53.0 Eastern Europeans.

When considering income, the most significant differences between Hungarian and Eastern European communities in the United States are seen in per capita income ($45,426 compared to $55,780, a difference of 22.8%), median family income ($105,609 compared to $125,546, a difference of 18.9%), and householder income ages 25 - 44 years ($97,544 compared to $114,523, a difference of 17.4%). Conversely, both communities are more comparable in terms of wage/income gap (29.0% compared to 28.6%, a difference of 1.3%), householder income under 25 years ($50,247 compared to $54,066, a difference of 7.6%), and householder income over 65 years ($61,673 compared to $70,470, a difference of 14.3%).

When considering poverty, the most significant differences between Hungarian and Eastern European communities in the United States are seen in married-couple family poverty (5.3% compared to 4.1%, a difference of 29.4%), child poverty under the age of 5 (17.9% compared to 14.6%, a difference of 22.6%), and child poverty under the age of 16 (16.2% compared to 13.2%, a difference of 22.5%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.8% compared to 19.9%, a difference of 0.47%), seniors poverty over the age of 75 (11.2% compared to 11.3%, a difference of 0.48%), and seniors poverty over the age of 65 (9.7% compared to 9.6%, a difference of 0.82%).

When considering unemployment, the most significant differences between Hungarian and Eastern European communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 8.9%, a difference of 13.8%), unemployment among women with children under 6 years (7.8% compared to 7.2%, a difference of 8.4%), and unemployment among women with children ages 6 to 17 years (9.3% compared to 8.6%, a difference of 7.9%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.8% compared to 4.9%, a difference of 0.79%), unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 1.2%), and unemployment among youth under 25 years (11.4% compared to 11.6%, a difference of 1.6%).

When considering labor participation, the most significant differences between Hungarian and Eastern European communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 36.4%, a difference of 9.6%), in labor force | age 20-24 (76.3% compared to 74.8%, a difference of 2.0%), and in labor force | age > 16 (63.8% compared to 65.1%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (82.7% compared to 83.5%, a difference of 1.0%), in labor force | age 25-29 (84.6% compared to 85.5%, a difference of 1.0%), and in labor force | age 35-44 (84.2% compared to 85.2%, a difference of 1.2%).

When considering family structure, the most significant differences between Hungarian and Eastern European communities in the United States are seen in births to unmarried women (31.2% compared to 27.7%, a difference of 12.6%), single father households (2.2% compared to 2.0%, a difference of 11.0%), and single mother households (5.7% compared to 5.2%, a difference of 9.3%). Conversely, both communities are more comparable in terms of currently married (48.8% compared to 48.9%, a difference of 0.14%), married-couple households (49.1% compared to 48.6%, a difference of 0.89%), and average family size (3.18 compared to 3.12, a difference of 1.9%).

When considering vehicle availability, the most significant differences between Hungarian and Eastern European communities in the United States are seen in no vehicles in household (9.9% compared to 11.7%, a difference of 17.6%), 4 or more vehicles in household (6.4% compared to 5.9%, a difference of 8.3%), and 3 or more vehicles in household (19.8% compared to 18.7%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 88.5%, a difference of 2.1%), 2 or more vehicles in household (56.5% compared to 54.8%, a difference of 3.1%), and 3 or more vehicles in household (19.8% compared to 18.7%, a difference of 5.9%).

When considering education level, the most significant differences between Hungarian and Eastern European communities in the United States are seen in professional degree (4.6% compared to 7.1%, a difference of 53.0%), doctorate degree (1.9% compared to 2.8%, a difference of 48.4%), and master's degree (15.6% compared to 21.1%, a difference of 35.7%). Conversely, both communities are more comparable in terms of 6th grade (97.8% compared to 97.9%, a difference of 0.010%), 4th grade (98.2% compared to 98.2%, a difference of 0.020%), and 5th grade (98.0% compared to 98.1%, a difference of 0.020%).

When considering disability, the most significant differences between Hungarian and Eastern European communities in the United States are seen in disability age 35 to 64 (11.4% compared to 10.0%, a difference of 14.6%), disability age under 5 (1.5% compared to 1.4%, a difference of 13.1%), and disability age 5 to 17 (5.8% compared to 5.2%, a difference of 11.5%). Conversely, both communities are more comparable in terms of cognitive disability (16.5% compared to 16.3%, a difference of 0.96%), disability age over 75 (46.5% compared to 44.8%, a difference of 3.9%), and self-care disability (2.5% compared to 2.3%, a difference of 6.2%).