Chinese vs Hungarian Community Comparison

The statistical analysis conducted on geographies consisting of 63,407,901 people shows no correlation between the proportion of Hungarians within Chinese communities in the United States with a correlation coefficient (R) of -0.022. On average, for every 1% (one percent) increase in Chinese within a typical geography, there is a decrease of 0.006% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Chinese corresponds to a decrease of 6.0 Hungarians.

When considering income, the most significant differences between Chinese and Hungarian communities in the United States are seen in householder income over 65 years ($77,465 compared to $61,673, a difference of 25.6%), householder income under 25 years ($58,162 compared to $50,247, a difference of 15.8%), and median household income ($98,496 compared to $86,920, a difference of 13.3%). Conversely, both communities are more comparable in terms of median male earnings ($56,872 compared to $57,309, a difference of 0.77%), per capita income ($46,098 compared to $45,426, a difference of 1.5%), and median earnings ($48,836 compared to $47,795, a difference of 2.2%).

When considering poverty, the most significant differences between Chinese and Hungarian communities in the United States are seen in married-couple family poverty (3.6% compared to 5.3%, a difference of 45.7%), child poverty among boys under 16 (11.9% compared to 16.5%, a difference of 38.9%), and child poverty under the age of 5 (13.1% compared to 17.9%, a difference of 37.1%). Conversely, both communities are more comparable in terms of receiving food stamps (9.8% compared to 11.0%, a difference of 12.8%), seniors poverty over the age of 65 (8.3% compared to 9.7%, a difference of 16.3%), and single father poverty (15.4% compared to 18.5%, a difference of 19.8%).

When considering unemployment, the most significant differences between Chinese and Hungarian communities in the United States are seen in unemployment among seniors over 75 years (5.9% compared to 10.1%, a difference of 70.7%), unemployment among seniors over 65 years (4.2% compared to 5.3%, a difference of 25.8%), and unemployment among ages 65 to 74 years (4.4% compared to 5.5%, a difference of 23.7%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.3% compared to 9.3%, a difference of 0.63%), male unemployment (4.9% compared to 5.2%, a difference of 5.0%), and unemployment among youth under 25 years (10.7% compared to 11.4%, a difference of 6.4%).

When considering labor participation, the most significant differences between Chinese and Hungarian communities in the United States are seen in in labor force | age 16-19 (38.6% compared to 39.8%, a difference of 3.2%), in labor force | age 20-64 (80.7% compared to 79.2%, a difference of 1.9%), and in labor force | age 45-54 (84.1% compared to 82.7%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.3% compared to 84.6%, a difference of 0.34%), in labor force | age 30-34 (85.0% compared to 84.5%, a difference of 0.57%), and in labor force | age 35-44 (85.1% compared to 84.2%, a difference of 1.0%).

When considering family structure, the most significant differences between Chinese and Hungarian communities in the United States are seen in single father households (2.0% compared to 2.2%, a difference of 10.1%), single mother households (5.2% compared to 5.7%, a difference of 9.9%), and divorced or separated (11.2% compared to 12.0%, a difference of 7.0%). Conversely, both communities are more comparable in terms of currently married (49.5% compared to 48.8%, a difference of 1.4%), married-couple households (50.4% compared to 49.1%, a difference of 2.6%), and births to unmarried women (30.2% compared to 31.2%, a difference of 3.3%).

When considering vehicle availability, the most significant differences between Chinese and Hungarian communities in the United States are seen in 4 or more vehicles in household (8.8% compared to 6.4%, a difference of 38.3%), no vehicles in household (8.2% compared to 9.9%, a difference of 20.6%), and 3 or more vehicles in household (23.9% compared to 19.8%, a difference of 20.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.9% compared to 90.3%, a difference of 1.7%), 2 or more vehicles in household (60.1% compared to 56.5%, a difference of 6.4%), and 3 or more vehicles in household (23.9% compared to 19.8%, a difference of 20.4%).

When considering education level, the most significant differences between Chinese and Hungarian communities in the United States are seen in no schooling completed (1.5% compared to 1.6%, a difference of 8.1%), doctorate degree (1.8% compared to 1.9%, a difference of 7.7%), and master's degree (14.6% compared to 15.6%, a difference of 6.8%). Conversely, both communities are more comparable in terms of 8th grade (96.9% compared to 97.0%, a difference of 0.060%), 9th grade (96.3% compared to 96.2%, a difference of 0.070%), and 5th grade (98.1% compared to 98.0%, a difference of 0.080%).

When considering disability, the most significant differences between Chinese and Hungarian communities in the United States are seen in disability age under 5 (1.1% compared to 1.5%, a difference of 35.7%), disability age 5 to 17 (4.7% compared to 5.8%, a difference of 24.6%), and disability age 18 to 34 (6.3% compared to 7.1%, a difference of 13.0%). Conversely, both communities are more comparable in terms of disability (12.2% compared to 12.2%, a difference of 0.18%), male disability (12.1% compared to 12.0%, a difference of 0.87%), and female disability (12.3% compared to 12.5%, a difference of 1.2%).