Asian vs Hungarian Community Comparison

The statistical analysis conducted on geographies consisting of 476,258,608 people shows a moderate negative correlation between the proportion of Hungarians within Asian communities in the United States with a correlation coefficient (R) of -0.494. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.004% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 4.0 Hungarians.

When considering income, the most significant differences between Asian and Hungarian communities in the United States are seen in median household income ($101,681 compared to $86,920, a difference of 17.0%), householder income ages 25 - 44 years ($112,666 compared to $97,544, a difference of 15.5%), and householder income ages 45 - 64 years ($118,426 compared to $103,913, a difference of 14.0%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 29.0%, a difference of 7.8%), per capita income ($50,057 compared to $45,426, a difference of 10.2%), and median male earnings ($63,827 compared to $57,309, a difference of 11.4%).

When considering poverty, the most significant differences between Asian and Hungarian communities in the United States are seen in child poverty under the age of 5 (14.0% compared to 17.9%, a difference of 28.2%), single father poverty (14.6% compared to 18.5%, a difference of 26.8%), and female poverty among 25-34 year olds (11.4% compared to 14.1%, a difference of 23.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 11.2%, a difference of 7.1%), seniors poverty over the age of 65 (10.4% compared to 9.7%, a difference of 7.3%), and female poverty among 18-24 year olds (18.2% compared to 19.8%, a difference of 8.9%).

When considering unemployment, the most significant differences between Asian and Hungarian communities in the United States are seen in unemployment among seniors over 75 years (8.3% compared to 10.1%, a difference of 22.2%), unemployment among women with children under 6 years (6.7% compared to 7.8%, a difference of 17.0%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 9.3%, a difference of 17.0%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.0%), unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.17%), and unemployment among youth under 25 years (11.4% compared to 11.4%, a difference of 0.44%).

When considering labor participation, the most significant differences between Asian and Hungarian communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 39.8%, a difference of 17.0%), in labor force | age > 16 (66.2% compared to 63.8%, a difference of 3.7%), and in labor force | age 20-24 (73.7% compared to 76.3%, a difference of 3.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.6%, a difference of 0.25%), in labor force | age 35-44 (84.7% compared to 84.2%, a difference of 0.53%), and in labor force | age 30-34 (85.1% compared to 84.5%, a difference of 0.66%).

When considering family structure, the most significant differences between Asian and Hungarian communities in the United States are seen in births to unmarried women (26.8% compared to 31.2%, a difference of 16.6%), divorced or separated (10.6% compared to 12.0%, a difference of 12.5%), and family households with children (29.1% compared to 27.6%, a difference of 5.2%). Conversely, both communities are more comparable in terms of married-couple households (49.5% compared to 49.1%, a difference of 0.81%), currently married (48.4% compared to 48.8%, a difference of 0.87%), and single mother households (5.6% compared to 5.7%, a difference of 1.5%).

When considering vehicle availability, the most significant differences between Asian and Hungarian communities in the United States are seen in no vehicles in household (9.0% compared to 9.9%, a difference of 10.5%), 4 or more vehicles in household (7.0% compared to 6.4%, a difference of 9.6%), and 3 or more vehicles in household (20.8% compared to 19.8%, a difference of 4.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 90.3%, a difference of 0.83%), 2 or more vehicles in household (57.0% compared to 56.5%, a difference of 0.84%), and 3 or more vehicles in household (20.8% compared to 19.8%, a difference of 4.7%).

When considering education level, the most significant differences between Asian and Hungarian communities in the United States are seen in no schooling completed (2.4% compared to 1.6%, a difference of 50.6%), doctorate degree (2.4% compared to 1.9%, a difference of 27.8%), and professional degree (5.5% compared to 4.6%, a difference of 18.8%). Conversely, both communities are more comparable in terms of ged/equivalency (86.7% compared to 87.4%, a difference of 0.82%), nursery school (97.6% compared to 98.5%, a difference of 0.85%), and kindergarten (97.6% compared to 98.5%, a difference of 0.86%).

When considering disability, the most significant differences between Asian and Hungarian communities in the United States are seen in disability age under 5 (1.1% compared to 1.5%, a difference of 42.7%), hearing disability (2.7% compared to 3.4%, a difference of 23.6%), and disability age 18 to 34 (5.8% compared to 7.1%, a difference of 22.5%). Conversely, both communities are more comparable in terms of disability age over 75 (46.9% compared to 46.5%, a difference of 0.87%), cognitive disability (16.7% compared to 16.5%, a difference of 1.7%), and disability age 65 to 74 (21.4% compared to 22.4%, a difference of 5.0%).