Immigrants from Eastern Asia vs Hungarian Community Comparison

The statistical analysis conducted on geographies consisting of 450,913,343 people shows a substantial negative correlation between the proportion of Hungarians within Immigrant from Eastern Asia communities in the United States with a correlation coefficient (R) of -0.569. On average, for every 1% (one percent) increase in Immigrants from Eastern Asia within a typical geography, there is a decrease of 0.008% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Asia corresponds to a decrease of 7.7 Hungarians.

When considering income, the most significant differences between Immigrants from Eastern Asia and Hungarian communities in the United States are seen in householder income ages 25 - 44 years ($118,056 compared to $97,544, a difference of 21.0%), median household income ($104,796 compared to $86,920, a difference of 20.6%), and median family income ($125,150 compared to $105,609, a difference of 18.5%). Conversely, both communities are more comparable in terms of wage/income gap (27.1% compared to 29.0%, a difference of 7.2%), householder income over 65 years ($69,872 compared to $61,673, a difference of 13.3%), and householder income under 25 years ($57,123 compared to $50,247, a difference of 13.7%).

When considering poverty, the most significant differences between Immigrants from Eastern Asia and Hungarian communities in the United States are seen in child poverty under the age of 5 (13.5% compared to 17.9%, a difference of 32.4%), female poverty among 25-34 year olds (11.2% compared to 14.1%, a difference of 25.8%), and child poverty among girls under 16 (13.4% compared to 16.6%, a difference of 24.0%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.8% compared to 19.8%, a difference of 0.22%), male poverty (10.4% compared to 11.1%, a difference of 7.4%), and poverty (11.3% compared to 12.2%, a difference of 7.5%).

When considering unemployment, the most significant differences between Immigrants from Eastern Asia and Hungarian communities in the United States are seen in unemployment among seniors over 75 years (7.9% compared to 10.1%, a difference of 28.0%), unemployment among women with children under 6 years (6.3% compared to 7.8%, a difference of 23.9%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 9.3%, a difference of 20.5%). 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 0.35%), unemployment among ages 45 to 54 years (4.4% compared to 4.5%, a difference of 0.79%), and male unemployment (5.1% compared to 5.2%, a difference of 0.82%).

When considering labor participation, the most significant differences between Immigrants from Eastern Asia and Hungarian communities in the United States are seen in in labor force | age 16-19 (32.0% compared to 39.8%, a difference of 24.4%), in labor force | age 20-24 (71.8% compared to 76.3%, a difference of 6.3%), and in labor force | age > 16 (65.7% compared to 63.8%, a difference of 2.9%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.6%, a difference of 0.20%), in labor force | age 35-44 (84.7% compared to 84.2%, a difference of 0.56%), and in labor force | age 45-54 (83.4% compared to 82.7%, a difference of 0.82%).

When considering family structure, the most significant differences between Immigrants from Eastern Asia and Hungarian communities in the United States are seen in births to unmarried women (25.0% compared to 31.2%, a difference of 24.7%), divorced or separated (10.2% compared to 12.0%, a difference of 16.9%), and single father households (1.9% compared to 2.2%, a difference of 15.0%). Conversely, both communities are more comparable in terms of family households (64.9% compared to 64.9%, a difference of 0.020%), family households with children (27.7% compared to 27.6%, a difference of 0.23%), and married-couple households (48.8% compared to 49.1%, a difference of 0.63%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Asia and Hungarian communities in the United States are seen in no vehicles in household (13.5% compared to 9.9%, a difference of 36.6%), 2 or more vehicles in household (53.2% compared to 56.5%, a difference of 6.2%), and 3 or more vehicles in household (18.8% compared to 19.8%, a difference of 5.2%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.2% compared to 6.4%, a difference of 3.0%), 1 or more vehicles in household (86.5% compared to 90.3%, a difference of 4.4%), and 3 or more vehicles in household (18.8% compared to 19.8%, a difference of 5.2%).

When considering education level, the most significant differences between Immigrants from Eastern Asia and Hungarian communities in the United States are seen in doctorate degree (3.0% compared to 1.9%, a difference of 55.8%), no schooling completed (2.4% compared to 1.6%, a difference of 48.4%), and professional degree (6.6% compared to 4.6%, a difference of 41.6%). Conversely, both communities are more comparable in terms of ged/equivalency (87.4% compared to 87.4%, a difference of 0.010%), nursery school (97.7% compared to 98.5%, a difference of 0.82%), and kindergarten (97.6% compared to 98.5%, a difference of 0.83%).

When considering disability, the most significant differences between Immigrants from Eastern Asia and Hungarian communities in the United States are seen in disability age under 5 (1.0% compared to 1.5%, a difference of 51.6%), disability age 35 to 64 (8.8% compared to 11.4%, a difference of 29.9%), and disability age 18 to 34 (5.6% compared to 7.1%, a difference of 28.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.2% compared to 46.5%, a difference of 0.83%), cognitive disability (16.8% compared to 16.5%, a difference of 2.0%), and self-care disability (2.3% compared to 2.5%, a difference of 7.2%).