Hungarian vs European Community Comparison

The statistical analysis conducted on geographies consisting of 481,301,449 people shows a moderate positive correlation between the proportion of Europeans within Hungarian communities in the United States with a correlation coefficient (R) of 0.440. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.079% in Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 79.2 Europeans.

When considering income, the most significant differences between Hungarian and European communities in the United States are seen in householder income over 65 years ($61,673 compared to $63,779, a difference of 3.4%), householder income under 25 years ($50,247 compared to $51,796, a difference of 3.1%), and median family income ($105,609 compared to $108,099, a difference of 2.4%). Conversely, both communities are more comparable in terms of median female earnings ($39,510 compared to $39,457, a difference of 0.13%), median earnings ($47,795 compared to $47,915, a difference of 0.25%), and median male earnings ($57,309 compared to $57,637, a difference of 0.57%).

When considering poverty, the most significant differences between Hungarian and European communities in the United States are seen in married-couple family poverty (5.3% compared to 4.2%, a difference of 25.9%), receiving food stamps (11.0% compared to 9.5%, a difference of 16.1%), and family poverty (8.8% compared to 7.7%, a difference of 13.8%). Conversely, both communities are more comparable in terms of single female poverty (21.1% compared to 21.1%, a difference of 0.18%), single mother poverty (29.9% compared to 29.1%, a difference of 3.0%), and female poverty among 18-24 year olds (19.8% compared to 20.4%, a difference of 3.2%).

When considering unemployment, the most significant differences between Hungarian and European communities in the United States are seen in unemployment among ages 45 to 54 years (4.5% compared to 4.1%, a difference of 9.4%), male unemployment (5.2% compared to 4.8%, a difference of 8.5%), and unemployment among ages 35 to 44 years (4.6% compared to 4.3%, a difference of 8.4%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (10.1% compared to 9.7%, a difference of 4.4%), unemployment among women with children under 6 years (7.8% compared to 7.5%, a difference of 4.5%), and unemployment among ages 25 to 29 years (6.8% compared to 6.4%, a difference of 4.7%).

When considering labor participation, the most significant differences between Hungarian and European communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 41.1%, a difference of 3.3%), in labor force | age > 16 (63.8% compared to 64.7%, a difference of 1.4%), and in labor force | age 20-24 (76.3% compared to 77.1%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (82.7% compared to 82.6%, a difference of 0.050%), in labor force | age 25-29 (84.6% compared to 84.6%, a difference of 0.060%), and in labor force | age 35-44 (84.2% compared to 84.1%, a difference of 0.16%).

When considering family structure, the most significant differences between Hungarian and European communities in the United States are seen in single father households (2.2% compared to 2.3%, a difference of 4.8%), births to unmarried women (31.2% compared to 30.2%, a difference of 3.3%), and divorced or separated (12.0% compared to 12.2%, a difference of 2.2%). Conversely, both communities are more comparable in terms of family households (64.9% compared to 65.0%, a difference of 0.21%), single mother households (5.7% compared to 5.7%, a difference of 0.73%), and married-couple households (49.1% compared to 49.6%, a difference of 0.98%).

When considering vehicle availability, the most significant differences between Hungarian and European communities in the United States are seen in no vehicles in household (9.9% compared to 7.1%, a difference of 39.3%), 4 or more vehicles in household (6.4% compared to 7.6%, a difference of 18.6%), and 3 or more vehicles in household (19.8% compared to 22.9%, a difference of 15.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 93.0%, a difference of 3.0%), 2 or more vehicles in household (56.5% compared to 61.4%, a difference of 8.6%), and 3 or more vehicles in household (19.8% compared to 22.9%, a difference of 15.3%).

When considering education level, the most significant differences between Hungarian and European communities in the United States are seen in doctorate degree (1.9% compared to 2.1%, a difference of 9.6%), no schooling completed (1.6% compared to 1.5%, a difference of 7.8%), and college, under 1 year (65.6% compared to 68.2%, a difference of 4.1%). Conversely, both communities are more comparable in terms of 7th grade (97.2% compared to 97.3%, a difference of 0.11%), nursery school (98.5% compared to 98.6%, a difference of 0.12%), and kindergarten (98.5% compared to 98.6%, a difference of 0.12%).

When considering disability, the most significant differences between Hungarian and European communities in the United States are seen in self-care disability (2.5% compared to 2.4%, a difference of 4.1%), hearing disability (3.4% compared to 3.5%, a difference of 3.7%), and disability age 18 to 34 (7.1% compared to 7.4%, a difference of 3.6%). Conversely, both communities are more comparable in terms of disability (12.2% compared to 12.3%, a difference of 0.24%), disability age over 75 (46.5% compared to 46.7%, a difference of 0.38%), and female disability (12.5% compared to 12.4%, a difference of 0.53%).