Hungarian vs Immigrants from Eastern Europe Community Comparison

The statistical analysis conducted on geographies consisting of 439,427,508 people shows a slight negative correlation between the proportion of Immigrants from Eastern Europe within Hungarian communities in the United States with a correlation coefficient (R) of -0.064. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is a decrease of 0.007% in Immigrants from Eastern Europe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to a decrease of 7.3 Immigrants from Eastern Europe.

When considering income, the most significant differences between Hungarian and Immigrants from Eastern Europe communities in the United States are seen in householder income under 25 years ($50,247 compared to $55,572, a difference of 10.6%), wage/income gap (29.0% compared to 26.4%, a difference of 10.1%), and median female earnings ($39,510 compared to $43,309, a difference of 9.6%). Conversely, both communities are more comparable in terms of householder income over 65 years ($61,673 compared to $62,693, a difference of 1.7%), householder income ages 45 - 64 years ($103,913 compared to $109,335, a difference of 5.2%), and median male earnings ($57,309 compared to $60,958, a difference of 6.4%).

When considering poverty, the most significant differences between Hungarian and Immigrants from Eastern Europe communities in the United States are seen in child poverty under the age of 5 (17.9% compared to 15.1%, a difference of 18.3%), female poverty among 25-34 year olds (14.1% compared to 12.0%, a difference of 17.7%), and single father poverty (18.5% compared to 15.8%, a difference of 16.5%). Conversely, both communities are more comparable in terms of receiving food stamps (11.0% compared to 10.8%, a difference of 1.6%), female poverty (13.2% compared to 12.3%, a difference of 7.1%), and poverty (12.2% compared to 11.3%, a difference of 7.7%).

When considering unemployment, the most significant differences between Hungarian and Immigrants from Eastern Europe communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 8.8%, a difference of 14.4%), unemployment among women with children under 6 years (7.8% compared to 7.1%, a difference of 10.6%), and unemployment among women with children ages 6 to 17 years (9.3% compared to 8.5%, a difference of 9.4%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.3% compared to 5.2%, a difference of 0.070%), unemployment among ages 55 to 59 years (4.8% compared to 4.8%, a difference of 0.33%), and unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.61%).

When considering labor participation, the most significant differences between Hungarian and Immigrants from Eastern Europe communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 35.8%, a difference of 11.4%), in labor force | age > 16 (63.8% compared to 65.4%, a difference of 2.4%), and in labor force | age 20-24 (76.3% compared to 74.9%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 85.2%, a difference of 0.64%), in labor force | age 45-54 (82.7% compared to 83.3%, a difference of 0.79%), and in labor force | age 35-44 (84.2% compared to 84.9%, a difference of 0.82%).

When considering family structure, the most significant differences between Hungarian and Immigrants from Eastern Europe communities in the United States are seen in births to unmarried women (31.2% compared to 27.6%, a difference of 13.3%), single father households (2.2% compared to 2.0%, a difference of 9.0%), and divorced or separated (12.0% compared to 11.5%, a difference of 4.5%). Conversely, both communities are more comparable in terms of average family size (3.18 compared to 3.17, a difference of 0.16%), single mother households (5.7% compared to 5.6%, a difference of 1.4%), and family households (64.9% compared to 64.0%, a difference of 1.5%).

When considering vehicle availability, the most significant differences between Hungarian and Immigrants from Eastern Europe communities in the United States are seen in no vehicles in household (9.9% compared to 13.6%, a difference of 37.1%), 4 or more vehicles in household (6.4% compared to 5.4%, a difference of 17.7%), and 3 or more vehicles in household (19.8% compared to 17.4%, a difference of 13.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 86.7%, a difference of 4.1%), 2 or more vehicles in household (56.5% compared to 51.7%, a difference of 9.2%), and 3 or more vehicles in household (19.8% compared to 17.4%, a difference of 13.9%).

When considering education level, the most significant differences between Hungarian and Immigrants from Eastern Europe communities in the United States are seen in no schooling completed (1.6% compared to 2.0%, a difference of 27.5%), professional degree (4.6% compared to 5.2%, a difference of 13.1%), and master's degree (15.6% compared to 17.6%, a difference of 13.0%). Conversely, both communities are more comparable in terms of ged/equivalency (87.4% compared to 87.1%, a difference of 0.40%), nursery school (98.5% compared to 98.0%, a difference of 0.48%), and kindergarten (98.5% compared to 98.0%, a difference of 0.48%).

When considering disability, the most significant differences between Hungarian and Immigrants from Eastern Europe communities in the United States are seen in disability age under 5 (1.5% compared to 1.2%, a difference of 30.5%), disability age 18 to 34 (7.1% compared to 6.2%, a difference of 15.9%), and hearing disability (3.4% compared to 3.0%, a difference of 13.9%). Conversely, both communities are more comparable in terms of cognitive disability (16.5% compared to 16.5%, a difference of 0.10%), disability age over 75 (46.5% compared to 46.3%, a difference of 0.42%), and self-care disability (2.5% compared to 2.5%, a difference of 0.91%).