Hungarian vs Immigrants from Europe Community Comparison

The statistical analysis conducted on geographies consisting of 477,013,819 people shows a slight positive correlation between the proportion of Immigrants from Europe within Hungarian communities in the United States with a correlation coefficient (R) of 0.069. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.013% in Immigrants from Europe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 13.4 Immigrants from Europe.

When considering income, the most significant differences between Hungarian and Immigrants from Europe communities in the United States are seen in per capita income ($45,426 compared to $50,950, a difference of 12.2%), median female earnings ($39,510 compared to $43,523, a difference of 10.2%), and householder income ages 25 - 44 years ($97,544 compared to $106,817, a difference of 9.5%). Conversely, both communities are more comparable in terms of householder income over 65 years ($61,673 compared to $64,828, a difference of 5.1%), wage/income gap (29.0% compared to 27.1%, a difference of 7.0%), and householder income ages 45 - 64 years ($103,913 compared to $111,984, a difference of 7.8%).

When considering poverty, the most significant differences between Hungarian and Immigrants from 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 18.2%), female poverty among 25-34 year olds (14.1% compared to 12.2%, a difference of 15.8%), and child poverty among girls under 16 (16.6% compared to 14.4%, a difference of 14.8%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.8% compared to 18.8%, a difference of 5.4%), receiving food stamps (11.0% compared to 10.3%, a difference of 6.7%), and female poverty (13.2% compared to 12.1%, a difference of 8.4%).

When considering unemployment, the most significant differences between Hungarian and Immigrants from 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 7.2%, a difference of 8.7%), and unemployment among women with children ages 6 to 17 years (9.3% compared to 8.9%, a difference of 5.1%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.8% compared to 4.8%, a difference of 0.16%), unemployment among women with children under 18 years (5.3% compared to 5.3%, a difference of 0.23%), and unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.42%).

When considering labor participation, the most significant differences between Hungarian and Immigrants from Europe communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 36.2%, a difference of 10.0%), 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 65.0%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (82.7% compared to 83.2%, a difference of 0.61%), in labor force | age 25-29 (84.6% compared to 85.2%, a difference of 0.65%), and in labor force | age 35-44 (84.2% compared to 84.9%, a difference of 0.74%).

When considering family structure, the most significant differences between Hungarian and Immigrants from Europe communities in the United States are seen in births to unmarried women (31.2% compared to 28.4%, a difference of 9.8%), single father households (2.2% compared to 2.0%, a difference of 7.5%), and family households with children (27.6% compared to 26.6%, a difference of 3.8%). Conversely, both communities are more comparable in terms of average family size (3.18 compared to 3.15, a difference of 0.89%), currently married (48.8% compared to 48.1%, a difference of 1.5%), and family households (64.9% compared to 63.7%, a difference of 1.8%).

When considering vehicle availability, the most significant differences between Hungarian and Immigrants from Europe communities in the United States are seen in no vehicles in household (9.9% compared to 12.5%, a difference of 26.2%), 4 or more vehicles in household (6.4% compared to 5.7%, a difference of 11.8%), and 3 or more vehicles in household (19.8% compared to 18.1%, a difference of 9.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 87.6%, a difference of 3.1%), 2 or more vehicles in household (56.5% compared to 53.2%, a difference of 6.1%), and 3 or more vehicles in household (19.8% compared to 18.1%, a difference of 9.3%).

When considering education level, the most significant differences between Hungarian and Immigrants from Europe communities in the United States are seen in professional degree (4.6% compared to 5.6%, a difference of 21.5%), doctorate degree (1.9% compared to 2.3%, a difference of 21.4%), and no schooling completed (1.6% compared to 1.9%, a difference of 19.4%). Conversely, both communities are more comparable in terms of ged/equivalency (87.4% compared to 87.5%, a difference of 0.050%), nursery school (98.5% compared to 98.1%, a difference of 0.34%), and kindergarten (98.5% compared to 98.1%, a difference of 0.34%).

When considering disability, the most significant differences between Hungarian and Immigrants from Europe communities in the United States are seen in disability age under 5 (1.5% compared to 1.3%, a difference of 21.6%), disability age 18 to 34 (7.1% compared to 6.4%, a difference of 12.3%), and disability age 35 to 64 (11.4% compared to 10.2%, a difference of 11.8%). Conversely, both communities are more comparable in terms of cognitive disability (16.5% compared to 16.5%, a difference of 0.10%), self-care disability (2.5% compared to 2.4%, a difference of 1.2%), and disability age over 75 (46.5% compared to 45.9%, a difference of 1.4%).