Immigrants from Hong Kong vs Hungarian Community Comparison

The statistical analysis conducted on geographies consisting of 245,597,210 people shows a slight negative correlation between the proportion of Hungarians within Immigrant from Hong Kong communities in the United States with a correlation coefficient (R) of -0.071. On average, for every 1% (one percent) increase in Immigrants from Hong Kong within a typical geography, there is a decrease of 0.013% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hong Kong corresponds to a decrease of 13.3 Hungarians.

When considering income, the most significant differences between Immigrants from Hong Kong and Hungarian communities in the United States are seen in householder income ages 25 - 44 years ($128,140 compared to $97,544, a difference of 31.4%), median household income ($111,519 compared to $86,920, a difference of 28.3%), and median female earnings ($49,818 compared to $39,510, a difference of 26.1%). Conversely, both communities are more comparable in terms of wage/income gap (25.5% compared to 29.0%, a difference of 13.7%), householder income over 65 years ($71,567 compared to $61,673, a difference of 16.0%), and median male earnings ($70,146 compared to $57,309, a difference of 22.4%).

When considering poverty, the most significant differences between Immigrants from Hong Kong and Hungarian communities in the United States are seen in child poverty under the age of 5 (12.4% compared to 17.9%, a difference of 44.0%), female poverty among 25-34 year olds (10.4% compared to 14.1%, a difference of 35.9%), and child poverty among boys under 16 (12.3% compared to 16.5%, a difference of 34.5%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.7% compared to 5.3%, a difference of 12.6%), female poverty among 18-24 year olds (17.5% compared to 19.8%, a difference of 13.5%), and seniors poverty over the age of 65 (11.1% compared to 9.7%, a difference of 14.2%).

When considering unemployment, the most significant differences between Immigrants from Hong Kong and Hungarian communities in the United States are seen in unemployment among women with children under 6 years (5.8% compared to 7.8%, a difference of 35.0%), unemployment among seniors over 75 years (7.6% compared to 10.1%, a difference of 31.9%), and unemployment among women with children ages 6 to 17 years (7.2% compared to 9.3%, a difference of 29.6%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 1.4%), male unemployment (5.2% compared to 5.2%, a difference of 1.6%), and unemployment among ages 16 to 19 years (17.4% compared to 17.1%, a difference of 1.9%).

When considering labor participation, the most significant differences between Immigrants from Hong Kong and Hungarian communities in the United States are seen in in labor force | age 16-19 (30.5% compared to 39.8%, a difference of 30.7%), in labor force | age 20-24 (71.6% compared to 76.3%, a difference of 6.5%), and in labor force | age > 16 (65.7% compared to 63.8%, a difference of 3.0%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.0% compared to 84.6%, a difference of 0.49%), in labor force | age 45-54 (83.6% compared to 82.7%, a difference of 1.1%), and in labor force | age 35-44 (85.2% compared to 84.2%, a difference of 1.1%).

When considering family structure, the most significant differences between Immigrants from Hong Kong and Hungarian communities in the United States are seen in births to unmarried women (23.6% compared to 31.2%, a difference of 32.5%), divorced or separated (10.0% compared to 12.0%, a difference of 20.1%), and single father households (1.8% compared to 2.2%, a difference of 18.5%). Conversely, both communities are more comparable in terms of currently married (48.9% compared to 48.8%, a difference of 0.14%), family households with children (27.5% compared to 27.6%, a difference of 0.25%), and married-couple households (49.6% compared to 49.1%, a difference of 1.1%).

When considering vehicle availability, the most significant differences between Immigrants from Hong Kong and Hungarian communities in the United States are seen in no vehicles in household (11.3% compared to 9.9%, a difference of 14.0%), 2 or more vehicles in household (52.6% compared to 56.5%, a difference of 7.5%), and 3 or more vehicles in household (19.2% compared to 19.8%, a difference of 3.5%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.5% compared to 6.4%, a difference of 1.3%), 1 or more vehicles in household (88.7% compared to 90.3%, a difference of 1.8%), and 3 or more vehicles in household (19.2% compared to 19.8%, a difference of 3.5%).

When considering education level, the most significant differences between Immigrants from Hong Kong and Hungarian communities in the United States are seen in no schooling completed (2.7% compared to 1.6%, a difference of 69.7%), doctorate degree (2.8% compared to 1.9%, a difference of 45.9%), and professional degree (6.4% compared to 4.6%, a difference of 38.2%). Conversely, both communities are more comparable in terms of ged/equivalency (86.9% compared to 87.4%, a difference of 0.57%), nursery school (97.4% compared to 98.5%, a difference of 1.1%), and kindergarten (97.3% compared to 98.5%, a difference of 1.2%).

When considering disability, the most significant differences between Immigrants from Hong Kong and Hungarian communities in the United States are seen in disability age under 5 (0.95% compared to 1.5%, a difference of 63.5%), disability age 35 to 64 (8.2% compared to 11.4%, a difference of 39.2%), and disability age 18 to 34 (5.2% compared to 7.1%, a difference of 37.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.5%, a difference of 0.16%), cognitive disability (16.0% compared to 16.5%, a difference of 2.8%), and self-care disability (2.4% compared to 2.5%, a difference of 3.4%).