Hungarian vs Immigrants from Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 451,114,768 people shows a poor positive correlation between the proportion of Immigrants from Eastern Asia within Hungarian communities in the United States with a correlation coefficient (R) of 0.171. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.031% in Immigrants from Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 31.2 Immigrants from Eastern Asia.

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

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

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

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

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

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

When considering education level, the most significant differences between Hungarian and Immigrants from Eastern Asia communities in the United States are seen in doctorate degree (1.9% compared to 3.0%, a difference of 55.8%), no schooling completed (1.6% compared to 2.4%, a difference of 48.4%), and professional degree (4.6% compared to 6.6%, 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 (98.5% compared to 97.7%, a difference of 0.82%), and kindergarten (98.5% compared to 97.6%, a difference of 0.83%).

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